scikit-learn →
0.19.2-1 →
armhf → 2018-08-02 07:55:33
sbuild (Debian sbuild) 0.72.0 (25 Oct 2016) on mb-lxc-01
+==============================================================================+
| scikit-learn 0.19.2-1 (armhf) Thu, 02 Aug 2018 06:57:01 +0000 |
+==============================================================================+
Package: scikit-learn
Version: 0.19.2-1
Source Version: 0.19.2-1
Distribution: buster-staging
Machine Architecture: armhf
Host Architecture: armhf
Build Architecture: armhf
I: NOTICE: Log filtering will replace 'var/lib/schroot/mount/buster-staging-armhf-sbuild-67214b67-20c5-4792-ae99-89c753d17516' with '<<CHROOT>>'
+------------------------------------------------------------------------------+
| Update chroot |
+------------------------------------------------------------------------------+
Get:1 http://172.17.0.1/private buster-staging InRelease [11.3 kB]
Get:2 http://172.17.0.1/private buster-staging/main Sources [10.9 MB]
Get:3 http://172.17.0.1/private buster-staging/main armhf Packages [12.7 MB]
Fetched 23.6 MB in 9s (2487 kB/s)
Reading package lists...
W: No sandbox user '_apt' on the system, can not drop privileges
+------------------------------------------------------------------------------+
| Fetch source files |
+------------------------------------------------------------------------------+
Check APT
---------
Checking available source versions...
Download source files with APT
------------------------------
Reading package lists...
NOTICE: 'scikit-learn' packaging is maintained in the 'Git' version control system at:
git://github.com/yarikoptic/scikit-learn.git -b debian
Please use:
git clone git://github.com/yarikoptic/scikit-learn.git -b debian
to retrieve the latest (possibly unreleased) updates to the package.
Need to get 7118 kB of source archives.
Get:1 http://172.17.0.1/private buster-staging/main scikit-learn 0.19.2-1 (dsc) [2730 B]
Get:2 http://172.17.0.1/private buster-staging/main scikit-learn 0.19.2-1 (tar) [5785 kB]
Get:3 http://172.17.0.1/private buster-staging/main scikit-learn 0.19.2-1 (diff) [1330 kB]
Fetched 7118 kB in 1s (5261 kB/s)
Download complete and in download only mode
I: NOTICE: Log filtering will replace 'build/scikit-learn-EjO0px/scikit-learn-0.19.2' with '<<PKGBUILDDIR>>'
I: NOTICE: Log filtering will replace 'build/scikit-learn-EjO0px' with '<<BUILDDIR>>'
+------------------------------------------------------------------------------+
| Install build-essential |
+------------------------------------------------------------------------------+
Setup apt archive
-----------------
Merged Build-Depends: build-essential, fakeroot
Filtered Build-Depends: build-essential, fakeroot
dpkg-deb: building package 'sbuild-build-depends-core-dummy' in '/<<BUILDDIR>>/resolver-VROhmH/apt_archive/sbuild-build-depends-core-dummy.deb'.
dpkg-scanpackages: warning: Packages in archive but missing from override file:
dpkg-scanpackages: warning: sbuild-build-depends-core-dummy
dpkg-scanpackages: info: Wrote 1 entries to output Packages file.
gpg: keybox '/<<BUILDDIR>>/resolver-VROhmH/gpg/pubring.kbx' created
gpg: /<<BUILDDIR>>/resolver-VROhmH/gpg/trustdb.gpg: trustdb created
gpg: key 37145E60F90AF620: public key "Sbuild Signer (Sbuild Build Dependency Archive Key) <buildd-tools-devel@lists.alioth.debian.org>" imported
gpg: Total number processed: 1
gpg: imported: 1
gpg: key 37145E60F90AF620: "Sbuild Signer (Sbuild Build Dependency Archive Key) <buildd-tools-devel@lists.alioth.debian.org>" not changed
gpg: key 37145E60F90AF620: secret key imported
gpg: Total number processed: 1
gpg: unchanged: 1
gpg: secret keys read: 1
gpg: secret keys imported: 1
gpg: using "Sbuild Signer" as default secret key for signing
Ign:1 copy:/<<BUILDDIR>>/resolver-VROhmH/apt_archive ./ InRelease
Get:2 copy:/<<BUILDDIR>>/resolver-VROhmH/apt_archive ./ Release [957 B]
Get:3 copy:/<<BUILDDIR>>/resolver-VROhmH/apt_archive ./ Release.gpg [370 B]
Get:4 copy:/<<BUILDDIR>>/resolver-VROhmH/apt_archive ./ Sources [349 B]
Get:5 copy:/<<BUILDDIR>>/resolver-VROhmH/apt_archive ./ Packages [434 B]
Fetched 2110 B in 0s (10.3 kB/s)
Reading package lists...
W: No sandbox user '_apt' on the system, can not drop privileges
Reading package lists...
Install core build dependencies (apt-based resolver)
----------------------------------------------------
Installing build dependencies
Reading package lists...
Building dependency tree...
Reading state information...
The following packages were automatically installed and are no longer required:
ca-certificates dbus dbus-user-session e2fsprogs-l10n libexpat1
libnss-systemd libpam-systemd libsasl2-modules libssl1.1 openssl
systemd-sysv
Use 'apt autoremove' to remove them.
The following NEW packages will be installed:
sbuild-build-depends-core-dummy
0 upgraded, 1 newly installed, 0 to remove and 76 not upgraded.
Need to get 848 B of archives.
After this operation, 0 B of additional disk space will be used.
Get:1 copy:/<<BUILDDIR>>/resolver-VROhmH/apt_archive ./ sbuild-build-depends-core-dummy 0.invalid.0 [848 B]
debconf: delaying package configuration, since apt-utils is not installed
Fetched 848 B in 0s (0 B/s)
Selecting previously unselected package sbuild-build-depends-core-dummy.
(Reading database ... 15728 files and directories currently installed.)
Preparing to unpack .../sbuild-build-depends-core-dummy_0.invalid.0_armhf.deb ...
Unpacking sbuild-build-depends-core-dummy (0.invalid.0) ...
Setting up sbuild-build-depends-core-dummy (0.invalid.0) ...
W: No sandbox user '_apt' on the system, can not drop privileges
+------------------------------------------------------------------------------+
| Check architectures |
+------------------------------------------------------------------------------+
Arch check ok (armhf included in any all)
+------------------------------------------------------------------------------+
| Install package build dependencies |
+------------------------------------------------------------------------------+
Setup apt archive
-----------------
Merged Build-Depends: debhelper (>= 9), dh-autoreconf, python-all-dev (>= 2.6.6-3~), dh-python, cython (>= 0.12~), python-setuptools, python-numpy (>= 1:1.8.2~), python-scipy, python-nose, python-pytest, python-matplotlib, python-joblib (>= 0.9.2), python3-all-dev, cython3, python3-setuptools, python3-numpy, python3-scipy, python3-nose, python3-pytest, python3-matplotlib, python3-joblib (>= 0.9.2), libsvm-dev (>= 2.84.0), libatlas3-base
Filtered Build-Depends: debhelper (>= 9), dh-autoreconf, python-all-dev (>= 2.6.6-3~), dh-python, cython (>= 0.12~), python-setuptools, python-numpy (>= 1:1.8.2~), python-scipy, python-nose, python-pytest, python-matplotlib, python-joblib (>= 0.9.2), python3-all-dev, cython3, python3-setuptools, python3-numpy, python3-scipy, python3-nose, python3-pytest, python3-matplotlib, python3-joblib (>= 0.9.2), libsvm-dev (>= 2.84.0), libatlas3-base
dpkg-deb: building package 'sbuild-build-depends-scikit-learn-dummy' in '/<<BUILDDIR>>/resolver-VROhmH/apt_archive/sbuild-build-depends-scikit-learn-dummy.deb'.
dpkg-scanpackages: warning: Packages in archive but missing from override file:
dpkg-scanpackages: warning: sbuild-build-depends-core-dummy sbuild-build-depends-scikit-learn-dummy
dpkg-scanpackages: info: Wrote 2 entries to output Packages file.
gpg: using "Sbuild Signer" as default secret key for signing
Ign:1 copy:/<<BUILDDIR>>/resolver-VROhmH/apt_archive ./ InRelease
Get:2 copy:/<<BUILDDIR>>/resolver-VROhmH/apt_archive ./ Release [963 B]
Get:3 copy:/<<BUILDDIR>>/resolver-VROhmH/apt_archive ./ Release.gpg [370 B]
Get:4 copy:/<<BUILDDIR>>/resolver-VROhmH/apt_archive ./ Sources [640 B]
Get:5 copy:/<<BUILDDIR>>/resolver-VROhmH/apt_archive ./ Packages [724 B]
Fetched 2697 B in 0s (12.4 kB/s)
Reading package lists...
W: No sandbox user '_apt' on the system, can not drop privileges
Reading package lists...
Install scikit-learn build dependencies (apt-based resolver)
------------------------------------------------------------
Installing build dependencies
Reading package lists...
Building dependency tree...
Reading state information...
The following packages were automatically installed and are no longer required:
ca-certificates dbus dbus-user-session e2fsprogs-l10n libnss-systemd
libpam-systemd libsasl2-modules openssl systemd-sysv
Use 'apt autoremove' to remove them.
The following additional packages will be installed:
autoconf automake autopoint autotools-dev bsdmainutils cython cython3
debhelper dh-autoreconf dh-python dh-strip-nondeterminism dwz file fonts-lyx
gettext gettext-base groff-base intltool-debian libarchive-zip-perl
libatlas3-base libblas3 libbsd0 libcroco3 libelf1 libexpat1-dev
libfile-stripnondeterminism-perl libfreetype6 libgfortran4 libglib2.0-0
libgraphite2-3 libharfbuzz0b libicu-le-hb0 libicu60 libjs-jquery
libjs-jquery-ui liblapack3 libmagic-mgc libmagic1 libmpdec2 libpipeline1
libpython-all-dev libpython-dev libpython-stdlib libpython2-dev
libpython2-stdlib libpython2.7 libpython2.7-dev libpython2.7-minimal
libpython2.7-stdlib libpython3-all-dev libpython3-dev libpython3-stdlib
libpython3.6 libpython3.6-dev libpython3.6-minimal libpython3.6-stdlib
libsigsegv2 libsvm-dev libsvm3 libtimedate-perl libtool libxml2 m4 man-db
mime-support po-debconf python python-all python-all-dev python-atomicwrites
python-attr python-backports.functools-lru-cache python-cycler
python-dateutil python-decorator python-dev python-funcsigs python-joblib
python-kiwisolver python-matplotlib python-matplotlib-data python-minimal
python-more-itertools python-nose python-numpy python-pkg-resources
python-pluggy python-py python-pyparsing python-pytest python-scipy
python-setuptools python-six python-subprocess32 python-tz python2
python2-dev python2-minimal python2.7 python2.7-dev python2.7-minimal
python3 python3-all python3-all-dev python3-atomicwrites python3-attr
python3-cycler python3-dateutil python3-decorator python3-dev
python3-distutils python3-joblib python3-kiwisolver python3-lib2to3
python3-matplotlib python3-minimal python3-more-itertools python3-nose
python3-numpy python3-pkg-resources python3-pluggy python3-py
python3-pyparsing python3-pytest python3-scipy python3-setuptools
python3-six python3-tz python3.6 python3.6-dev python3.6-minimal
ttf-bitstream-vera
Suggested packages:
autoconf-archive gnu-standards autoconf-doc wamerican | wordlist whois
vacation cython-doc dh-make gettext-doc libasprintf-dev libgettextpo-dev
groff libjs-jquery-ui-docs libtool-doc gfortran | fortran95-compiler gcj-jdk
m4-doc apparmor less www-browser libmail-box-perl python-doc python-tk
python-attr-doc python-cycler-doc python-funcsigs-doc dvipng ffmpeg
gir1.2-gtk-3.0 ghostscript inkscape ipython librsvg2-common python-cairocffi
python-configobj python-excelerator python-gobject python-matplotlib-doc
python-qt4 python-sip python-tornado python-traits python-wxgtk3.0
texlive-extra-utils texlive-latex-extra ttf-staypuft python-coverage
python-nose-doc gfortran python-numpy-dbg python-numpy-doc subversion
python-pytest-xdist python-pyparsing-doc python-mock python-scipy-doc
python-setuptools-doc python2-doc python2.7-doc binfmt-support python3-doc
python3-tk python3-venv ipython3 python3-cairocffi python3-gi
python3-gi-cairo python3-gobject python3-pyqt4 python3-sip python3-tornado
python3-numpy-dbg python3.6-venv python3.6-doc
Recommended packages:
curl | wget | lynx libarchive-cpio-perl libglib2.0-data shared-mime-info
xdg-user-dirs javascript-common libltdl-dev libmail-sendmail-perl
python-simplejson python-pil python-tk python3-simplejson python3-pil
python3-tk
The following NEW packages will be installed:
autoconf automake autopoint autotools-dev bsdmainutils cython cython3
debhelper dh-autoreconf dh-python dh-strip-nondeterminism dwz file fonts-lyx
gettext gettext-base groff-base intltool-debian libarchive-zip-perl
libatlas3-base libblas3 libbsd0 libcroco3 libelf1 libexpat1-dev
libfile-stripnondeterminism-perl libfreetype6 libgfortran4 libglib2.0-0
libgraphite2-3 libharfbuzz0b libicu-le-hb0 libicu60 libjs-jquery
libjs-jquery-ui liblapack3 libmagic-mgc libmagic1 libmpdec2 libpipeline1
libpython-all-dev libpython-dev libpython-stdlib libpython2-dev
libpython2-stdlib libpython2.7 libpython2.7-dev libpython2.7-minimal
libpython2.7-stdlib libpython3-all-dev libpython3-dev libpython3-stdlib
libpython3.6 libpython3.6-dev libpython3.6-minimal libpython3.6-stdlib
libsigsegv2 libsvm-dev libsvm3 libtimedate-perl libtool libxml2 m4 man-db
mime-support po-debconf python python-all python-all-dev python-atomicwrites
python-attr python-backports.functools-lru-cache python-cycler
python-dateutil python-decorator python-dev python-funcsigs python-joblib
python-kiwisolver python-matplotlib python-matplotlib-data python-minimal
python-more-itertools python-nose python-numpy python-pkg-resources
python-pluggy python-py python-pyparsing python-pytest python-scipy
python-setuptools python-six python-subprocess32 python-tz python2
python2-dev python2-minimal python2.7 python2.7-dev python2.7-minimal
python3 python3-all python3-all-dev python3-atomicwrites python3-attr
python3-cycler python3-dateutil python3-decorator python3-dev
python3-distutils python3-joblib python3-kiwisolver python3-lib2to3
python3-matplotlib python3-minimal python3-more-itertools python3-nose
python3-numpy python3-pkg-resources python3-pluggy python3-py
python3-pyparsing python3-pytest python3-scipy python3-setuptools
python3-six python3-tz python3.6 python3.6-dev python3.6-minimal
sbuild-build-depends-scikit-learn-dummy ttf-bitstream-vera
0 upgraded, 133 newly installed, 0 to remove and 76 not upgraded.
Need to get 139 MB/151 MB of archives.
After this operation, 402 MB of additional disk space will be used.
Get:1 copy:/<<BUILDDIR>>/resolver-VROhmH/apt_archive ./ sbuild-build-depends-scikit-learn-dummy 0.invalid.0 [1004 B]
Get:2 http://172.17.0.1/private buster-staging/main armhf libbsd0 armhf 0.9.1-1 [104 kB]
Get:3 http://172.17.0.1/private buster-staging/main armhf bsdmainutils armhf 11.1.2 [182 kB]
Get:4 http://172.17.0.1/private buster-staging/main armhf groff-base armhf 1.22.3-10 [1005 kB]
Get:5 http://172.17.0.1/private buster-staging/main armhf libpipeline1 armhf 1.5.0-1 [24.6 kB]
Get:6 http://172.17.0.1/private buster-staging/main armhf man-db armhf 2.8.3-2 [1146 kB]
Get:7 http://172.17.0.1/private buster-staging/main armhf libpython2.7-minimal armhf 2.7.15-3 [393 kB]
Get:8 http://172.17.0.1/private buster-staging/main armhf python2.7-minimal armhf 2.7.15-3 [1082 kB]
Get:9 http://172.17.0.1/private buster-staging/main armhf python2-minimal armhf 2.7.15-3 [41.3 kB]
Get:10 http://172.17.0.1/private buster-staging/main armhf python-minimal armhf 2.7.15-3 [20.9 kB]
Get:11 http://172.17.0.1/private buster-staging/main armhf mime-support all 3.61 [37.1 kB]
Get:12 http://172.17.0.1/private buster-staging/main armhf libpython2.7-stdlib armhf 2.7.15-3 [1843 kB]
Get:13 http://172.17.0.1/private buster-staging/main armhf python2.7 armhf 2.7.15-3 [298 kB]
Get:14 http://172.17.0.1/private buster-staging/main armhf libpython2-stdlib armhf 2.7.15-3 [20.7 kB]
Get:15 http://172.17.0.1/private buster-staging/main armhf libpython-stdlib armhf 2.7.15-3 [20.7 kB]
Get:16 http://172.17.0.1/private buster-staging/main armhf python2 armhf 2.7.15-3 [41.5 kB]
Get:17 http://172.17.0.1/private buster-staging/main armhf python armhf 2.7.15-3 [22.7 kB]
Get:18 http://172.17.0.1/private buster-staging/main armhf libpython3.6-minimal armhf 3.6.6-1 [565 kB]
Get:19 http://172.17.0.1/private buster-staging/main armhf python3.6-minimal armhf 3.6.6-1 [1383 kB]
Get:20 http://172.17.0.1/private buster-staging/main armhf python3-minimal armhf 3.6.5-3 [36.2 kB]
Get:21 http://172.17.0.1/private buster-staging/main armhf libmpdec2 armhf 2.4.2-2 [67.2 kB]
Get:22 http://172.17.0.1/private buster-staging/main armhf libpython3.6-stdlib armhf 3.6.6-1 [1638 kB]
Get:23 http://172.17.0.1/private buster-staging/main armhf python3.6 armhf 3.6.6-1 [234 kB]
Get:24 http://172.17.0.1/private buster-staging/main armhf libpython3-stdlib armhf 3.6.5-3 [19.7 kB]
Get:25 http://172.17.0.1/private buster-staging/main armhf python3 armhf 3.6.5-3 [24.1 kB]
Get:26 http://172.17.0.1/private buster-staging/main armhf libmagic-mgc armhf 1:5.33-3 [234 kB]
Get:27 http://172.17.0.1/private buster-staging/main armhf libmagic1 armhf 1:5.33-3 [106 kB]
Get:28 http://172.17.0.1/private buster-staging/main armhf file armhf 1:5.33-3 [64.7 kB]
Get:29 http://172.17.0.1/private buster-staging/main armhf gettext-base armhf 0.19.8.1-6 [117 kB]
Get:30 http://172.17.0.1/private buster-staging/main armhf libsigsegv2 armhf 2.12-2 [32.3 kB]
Get:31 http://172.17.0.1/private buster-staging/main armhf m4 armhf 1.4.18-1 [185 kB]
Get:32 http://172.17.0.1/private buster-staging/main armhf autoconf all 2.69-11 [341 kB]
Get:33 http://172.17.0.1/private buster-staging/main armhf autotools-dev all 20180224.1 [77.0 kB]
Get:34 http://172.17.0.1/private buster-staging/main armhf automake all 1:1.15.1-3.1 [736 kB]
Get:35 http://172.17.0.1/private buster-staging/main armhf autopoint all 0.19.8.1-6 [434 kB]
Get:36 http://172.17.0.1/private buster-staging/main armhf cython armhf 0.28.4-1 [1947 kB]
Get:37 http://172.17.0.1/private buster-staging/main armhf cython3 armhf 0.28.4-1 [1998 kB]
Get:38 http://172.17.0.1/private buster-staging/main armhf libtool all 2.4.6-2.1 [547 kB]
Get:39 http://172.17.0.1/private buster-staging/main armhf dh-autoreconf all 19 [16.9 kB]
Get:40 http://172.17.0.1/private buster-staging/main armhf libarchive-zip-perl all 1.60-1 [95.6 kB]
Get:41 http://172.17.0.1/private buster-staging/main armhf libfile-stripnondeterminism-perl all 0.042-1 [20.1 kB]
Get:42 http://172.17.0.1/private buster-staging/main armhf libtimedate-perl all 2.3000-2 [42.2 kB]
Get:43 http://172.17.0.1/private buster-staging/main armhf dh-strip-nondeterminism all 0.042-1 [12.1 kB]
Get:44 http://172.17.0.1/private buster-staging/main armhf libelf1 armhf 0.170-0.5 [160 kB]
Get:45 http://172.17.0.1/private buster-staging/main armhf dwz armhf 0.12-2 [67.4 kB]
Get:46 http://172.17.0.1/private buster-staging/main armhf libharfbuzz0b armhf 1.8.4-1+rpi1 [836 kB]
Get:47 http://172.17.0.1/private buster-staging/main armhf gettext armhf 0.19.8.1-6 [1218 kB]
Get:48 http://172.17.0.1/private buster-staging/main armhf intltool-debian all 0.35.0+20060710.4 [26.3 kB]
Get:49 http://172.17.0.1/private buster-staging/main armhf po-debconf all 1.0.20 [247 kB]
Get:50 http://172.17.0.1/private buster-staging/main armhf debhelper all 11.3.5 [981 kB]
Get:51 http://172.17.0.1/private buster-staging/main armhf python3-lib2to3 all 3.6.6-1 [79.1 kB]
Get:52 http://172.17.0.1/private buster-staging/main armhf python3-distutils all 3.6.6-1 [144 kB]
Get:53 http://172.17.0.1/private buster-staging/main armhf dh-python all 3.20180723 [94.2 kB]
Get:54 http://172.17.0.1/private buster-staging/main armhf fonts-lyx all 2.3.0-2 [198 kB]
Get:55 http://172.17.0.1/private buster-staging/main armhf libgfortran4 armhf 7.3.0-19 [191 kB]
Get:56 http://172.17.0.1/private buster-staging/main armhf libatlas3-base armhf 3.10.3-7+rpi1 [2439 kB]
Get:57 http://172.17.0.1/private buster-staging/main armhf libblas3 armhf 3.8.0-1 [103 kB]
Get:58 http://172.17.0.1/private buster-staging/main armhf libjs-jquery-ui all 1.12.1+dfsg-5 [232 kB]
Get:59 http://172.17.0.1/private buster-staging/main armhf liblapack3 armhf 3.8.0-1 [1518 kB]
Get:60 http://172.17.0.1/private buster-staging/main armhf libpython2.7 armhf 2.7.15-3 [886 kB]
Get:61 http://172.17.0.1/private buster-staging/main armhf libpython2.7-dev armhf 2.7.15-3 [27.6 MB]
Get:62 http://172.17.0.1/private buster-staging/main armhf libpython2-dev armhf 2.7.15-3 [20.8 kB]
Get:63 http://172.17.0.1/private buster-staging/main armhf libpython-dev armhf 2.7.15-3 [20.8 kB]
Get:64 http://172.17.0.1/private buster-staging/main armhf libpython-all-dev armhf 2.7.15-3 [1064 B]
Get:65 http://172.17.0.1/private buster-staging/main armhf libpython3.6 armhf 3.6.6-1 [1185 kB]
Get:66 http://172.17.0.1/private buster-staging/main armhf libpython3.6-dev armhf 3.6.6-1 [43.7 MB]
Get:67 http://172.17.0.1/private buster-staging/main armhf libpython3-dev armhf 3.6.5-3 [19.7 kB]
Get:68 http://172.17.0.1/private buster-staging/main armhf libpython3-all-dev armhf 3.6.5-3 [1064 B]
Get:69 http://172.17.0.1/private buster-staging/main armhf libsvm3 armhf 3.21+ds-1.1+b2 [36.6 kB]
Get:70 http://172.17.0.1/private buster-staging/main armhf libsvm-dev armhf 3.21+ds-1.1+b2 [42.0 kB]
Get:71 http://172.17.0.1/private buster-staging/main armhf python-all armhf 2.7.15-3 [1044 B]
Get:72 http://172.17.0.1/private buster-staging/main armhf python2.7-dev armhf 2.7.15-3 [289 kB]
Get:73 http://172.17.0.1/private buster-staging/main armhf python2-dev armhf 2.7.15-3 [1216 B]
Get:74 http://172.17.0.1/private buster-staging/main armhf python-dev armhf 2.7.15-3 [1192 B]
Get:75 http://172.17.0.1/private buster-staging/main armhf python-all-dev armhf 2.7.15-3 [1068 B]
Get:76 http://172.17.0.1/private buster-staging/main armhf python-atomicwrites all 1.1.5-2 [6808 B]
Get:77 http://172.17.0.1/private buster-staging/main armhf python-attr all 17.4.0-2 [23.8 kB]
Get:78 http://172.17.0.1/private buster-staging/main armhf python-backports.functools-lru-cache all 1.5-1 [6456 B]
Get:79 http://172.17.0.1/private buster-staging/main armhf python-six all 1.11.0-2 [15.1 kB]
Get:80 http://172.17.0.1/private buster-staging/main armhf python-cycler all 0.10.0-1 [7448 B]
Get:81 http://172.17.0.1/private buster-staging/main armhf python-dateutil all 2.6.1-1 [61.1 kB]
Get:82 http://172.17.0.1/private buster-staging/main armhf python-decorator all 4.3.0-1 [14.2 kB]
Get:83 http://172.17.0.1/private buster-staging/main armhf python-funcsigs all 1.0.2-4 [13.7 kB]
Get:84 http://172.17.0.1/private buster-staging/main armhf python-joblib all 0.11-1 [120 kB]
Get:85 http://172.17.0.1/private buster-staging/main armhf python-pkg-resources all 39.2.0-1 [171 kB]
Get:86 http://172.17.0.1/private buster-staging/main armhf python-kiwisolver armhf 1.0.1-2 [56.9 kB]
Get:87 http://172.17.0.1/private buster-staging/main armhf ttf-bitstream-vera all 1.10-8 [352 kB]
Get:88 http://172.17.0.1/private buster-staging/main armhf python-matplotlib-data all 2.2.2-4 [4123 kB]
Get:89 http://172.17.0.1/private buster-staging/main armhf python-pyparsing all 2.2.0+dfsg1-2 [89.5 kB]
Get:90 http://172.17.0.1/private buster-staging/main armhf python-tz all 2018.5-1 [33.5 kB]
Get:91 http://172.17.0.1/private buster-staging/main armhf python-numpy armhf 1:1.14.5-1 [1782 kB]
Get:92 http://172.17.0.1/private buster-staging/main armhf python-subprocess32 armhf 3.5.2-1 [28.7 kB]
Get:93 http://172.17.0.1/private buster-staging/main armhf python-matplotlib armhf 2.2.2-4 [4993 kB]
Get:94 http://172.17.0.1/private buster-staging/main armhf python-more-itertools all 4.2.0-1 [42.3 kB]
Get:95 http://172.17.0.1/private buster-staging/main armhf python-nose all 1.3.7-4 [132 kB]
Get:96 http://172.17.0.1/private buster-staging/main armhf python-pluggy all 0.6.0-1 [12.2 kB]
Get:97 http://172.17.0.1/private buster-staging/main armhf python-py all 1.5.4-1 [85.8 kB]
Get:98 http://172.17.0.1/private buster-staging/main armhf python-pytest all 3.6.4-1 [221 kB]
Get:99 http://172.17.0.1/private buster-staging/main armhf python-scipy armhf 1.1.0-1 [8967 kB]
Get:100 http://172.17.0.1/private buster-staging/main armhf python-setuptools all 39.2.0-1 [375 kB]
Get:101 http://172.17.0.1/private buster-staging/main armhf python3-all armhf 3.6.5-3 [1064 B]
Get:102 http://172.17.0.1/private buster-staging/main armhf python3.6-dev armhf 3.6.6-1 [508 kB]
Get:103 http://172.17.0.1/private buster-staging/main armhf python3-dev armhf 3.6.5-3 [1268 B]
Get:104 http://172.17.0.1/private buster-staging/main armhf python3-all-dev armhf 3.6.5-3 [1064 B]
Get:105 http://172.17.0.1/private buster-staging/main armhf python3-atomicwrites all 1.1.5-2 [6892 B]
Get:106 http://172.17.0.1/private buster-staging/main armhf python3-attr all 17.4.0-2 [23.8 kB]
Get:107 http://172.17.0.1/private buster-staging/main armhf python3-six all 1.11.0-2 [15.2 kB]
Get:108 http://172.17.0.1/private buster-staging/main armhf python3-cycler all 0.10.0-1 [7556 B]
Get:109 http://172.17.0.1/private buster-staging/main armhf python3-dateutil all 2.6.1-1 [52.8 kB]
Get:110 http://172.17.0.1/private buster-staging/main armhf python3-decorator all 4.3.0-1 [14.3 kB]
Get:111 http://172.17.0.1/private buster-staging/main armhf python3-joblib all 0.11-1 [117 kB]
Get:112 http://172.17.0.1/private buster-staging/main armhf python3-pkg-resources all 39.2.0-1 [142 kB]
Get:113 http://172.17.0.1/private buster-staging/main armhf python3-kiwisolver armhf 1.0.1-2 [56.2 kB]
Get:114 http://172.17.0.1/private buster-staging/main armhf python3-pyparsing all 2.2.0+dfsg1-2 [89.6 kB]
Get:115 http://172.17.0.1/private buster-staging/main armhf python3-tz all 2018.5-1 [26.9 kB]
Get:116 http://172.17.0.1/private buster-staging/main armhf python3-numpy armhf 1:1.14.5-1 [1789 kB]
Get:117 http://172.17.0.1/private buster-staging/main armhf python3-matplotlib armhf 2.2.2-4 [4996 kB]
Get:118 http://172.17.0.1/private buster-staging/main armhf python3-more-itertools all 4.2.0-1 [42.2 kB]
Get:119 http://172.17.0.1/private buster-staging/main armhf python3-nose all 1.3.7-4 [132 kB]
Get:120 http://172.17.0.1/private buster-staging/main armhf python3-pluggy all 0.6.0-1 [12.2 kB]
Get:121 http://172.17.0.1/private buster-staging/main armhf python3-py all 1.5.4-1 [85.9 kB]
Get:122 http://172.17.0.1/private buster-staging/main armhf python3-pytest all 3.6.4-1 [221 kB]
Get:123 http://172.17.0.1/private buster-staging/main armhf python3-scipy armhf 1.1.0-1 [8912 kB]
Get:124 http://172.17.0.1/private buster-staging/main armhf python3-setuptools all 39.2.0-1 [292 kB]
debconf: delaying package configuration, since apt-utils is not installed
Fetched 139 MB in 39s (3569 kB/s)
Selecting previously unselected package libbsd0:armhf.
(Reading database ... 15728 files and directories currently installed.)
Preparing to unpack .../00-libbsd0_0.9.1-1_armhf.deb ...
Unpacking libbsd0:armhf (0.9.1-1) ...
Selecting previously unselected package bsdmainutils.
Preparing to unpack .../01-bsdmainutils_11.1.2_armhf.deb ...
Unpacking bsdmainutils (11.1.2) ...
Selecting previously unselected package groff-base.
Preparing to unpack .../02-groff-base_1.22.3-10_armhf.deb ...
Unpacking groff-base (1.22.3-10) ...
Selecting previously unselected package libpipeline1:armhf.
Preparing to unpack .../03-libpipeline1_1.5.0-1_armhf.deb ...
Unpacking libpipeline1:armhf (1.5.0-1) ...
Selecting previously unselected package man-db.
Preparing to unpack .../04-man-db_2.8.3-2_armhf.deb ...
Unpacking man-db (2.8.3-2) ...
Selecting previously unselected package libpython2.7-minimal:armhf.
Preparing to unpack .../05-libpython2.7-minimal_2.7.15-3_armhf.deb ...
Unpacking libpython2.7-minimal:armhf (2.7.15-3) ...
Selecting previously unselected package python2.7-minimal.
Preparing to unpack .../06-python2.7-minimal_2.7.15-3_armhf.deb ...
Unpacking python2.7-minimal (2.7.15-3) ...
Selecting previously unselected package python2-minimal.
Preparing to unpack .../07-python2-minimal_2.7.15-3_armhf.deb ...
Unpacking python2-minimal (2.7.15-3) ...
Selecting previously unselected package python-minimal.
Preparing to unpack .../08-python-minimal_2.7.15-3_armhf.deb ...
Unpacking python-minimal (2.7.15-3) ...
Selecting previously unselected package mime-support.
Preparing to unpack .../09-mime-support_3.61_all.deb ...
Unpacking mime-support (3.61) ...
Selecting previously unselected package libpython2.7-stdlib:armhf.
Preparing to unpack .../10-libpython2.7-stdlib_2.7.15-3_armhf.deb ...
Unpacking libpython2.7-stdlib:armhf (2.7.15-3) ...
Selecting previously unselected package python2.7.
Preparing to unpack .../11-python2.7_2.7.15-3_armhf.deb ...
Unpacking python2.7 (2.7.15-3) ...
Selecting previously unselected package libpython2-stdlib:armhf.
Preparing to unpack .../12-libpython2-stdlib_2.7.15-3_armhf.deb ...
Unpacking libpython2-stdlib:armhf (2.7.15-3) ...
Selecting previously unselected package libpython-stdlib:armhf.
Preparing to unpack .../13-libpython-stdlib_2.7.15-3_armhf.deb ...
Unpacking libpython-stdlib:armhf (2.7.15-3) ...
Setting up libpython2.7-minimal:armhf (2.7.15-3) ...
Setting up python2.7-minimal (2.7.15-3) ...
Setting up python2-minimal (2.7.15-3) ...
Selecting previously unselected package python2.
(Reading database ... 17120 files and directories currently installed.)
Preparing to unpack .../python2_2.7.15-3_armhf.deb ...
Unpacking python2 (2.7.15-3) ...
Setting up python-minimal (2.7.15-3) ...
Selecting previously unselected package python.
(Reading database ... 17153 files and directories currently installed.)
Preparing to unpack .../0-python_2.7.15-3_armhf.deb ...
Unpacking python (2.7.15-3) ...
Selecting previously unselected package libpython3.6-minimal:armhf.
Preparing to unpack .../1-libpython3.6-minimal_3.6.6-1_armhf.deb ...
Unpacking libpython3.6-minimal:armhf (3.6.6-1) ...
Selecting previously unselected package python3.6-minimal.
Preparing to unpack .../2-python3.6-minimal_3.6.6-1_armhf.deb ...
Unpacking python3.6-minimal (3.6.6-1) ...
Selecting previously unselected package python3-minimal.
Preparing to unpack .../3-python3-minimal_3.6.5-3_armhf.deb ...
Unpacking python3-minimal (3.6.5-3) ...
Selecting previously unselected package libmpdec2:armhf.
Preparing to unpack .../4-libmpdec2_2.4.2-2_armhf.deb ...
Unpacking libmpdec2:armhf (2.4.2-2) ...
Selecting previously unselected package libpython3.6-stdlib:armhf.
Preparing to unpack .../5-libpython3.6-stdlib_3.6.6-1_armhf.deb ...
Unpacking libpython3.6-stdlib:armhf (3.6.6-1) ...
Selecting previously unselected package python3.6.
Preparing to unpack .../6-python3.6_3.6.6-1_armhf.deb ...
Unpacking python3.6 (3.6.6-1) ...
Selecting previously unselected package libpython3-stdlib:armhf.
Preparing to unpack .../7-libpython3-stdlib_3.6.5-3_armhf.deb ...
Unpacking libpython3-stdlib:armhf (3.6.5-3) ...
Setting up libpython3.6-minimal:armhf (3.6.6-1) ...
Setting up python3.6-minimal (3.6.6-1) ...
Setting up python3-minimal (3.6.5-3) ...
Selecting previously unselected package python3.
(Reading database ... 17805 files and directories currently installed.)
Preparing to unpack .../000-python3_3.6.5-3_armhf.deb ...
Unpacking python3 (3.6.5-3) ...
Selecting previously unselected package libmagic-mgc.
Preparing to unpack .../001-libmagic-mgc_1%3a5.33-3_armhf.deb ...
Unpacking libmagic-mgc (1:5.33-3) ...
Selecting previously unselected package libmagic1:armhf.
Preparing to unpack .../002-libmagic1_1%3a5.33-3_armhf.deb ...
Unpacking libmagic1:armhf (1:5.33-3) ...
Selecting previously unselected package file.
Preparing to unpack .../003-file_1%3a5.33-3_armhf.deb ...
Unpacking file (1:5.33-3) ...
Selecting previously unselected package gettext-base.
Preparing to unpack .../004-gettext-base_0.19.8.1-6_armhf.deb ...
Unpacking gettext-base (0.19.8.1-6) ...
Selecting previously unselected package libsigsegv2:armhf.
Preparing to unpack .../005-libsigsegv2_2.12-2_armhf.deb ...
Unpacking libsigsegv2:armhf (2.12-2) ...
Selecting previously unselected package m4.
Preparing to unpack .../006-m4_1.4.18-1_armhf.deb ...
Unpacking m4 (1.4.18-1) ...
Selecting previously unselected package autoconf.
Preparing to unpack .../007-autoconf_2.69-11_all.deb ...
Unpacking autoconf (2.69-11) ...
Selecting previously unselected package autotools-dev.
Preparing to unpack .../008-autotools-dev_20180224.1_all.deb ...
Unpacking autotools-dev (20180224.1) ...
Selecting previously unselected package automake.
Preparing to unpack .../009-automake_1%3a1.15.1-3.1_all.deb ...
Unpacking automake (1:1.15.1-3.1) ...
Selecting previously unselected package autopoint.
Preparing to unpack .../010-autopoint_0.19.8.1-6_all.deb ...
Unpacking autopoint (0.19.8.1-6) ...
Selecting previously unselected package cython.
Preparing to unpack .../011-cython_0.28.4-1_armhf.deb ...
Unpacking cython (0.28.4-1) ...
Selecting previously unselected package cython3.
Preparing to unpack .../012-cython3_0.28.4-1_armhf.deb ...
Unpacking cython3 (0.28.4-1) ...
Selecting previously unselected package libtool.
Preparing to unpack .../013-libtool_2.4.6-2.1_all.deb ...
Unpacking libtool (2.4.6-2.1) ...
Selecting previously unselected package dh-autoreconf.
Preparing to unpack .../014-dh-autoreconf_19_all.deb ...
Unpacking dh-autoreconf (19) ...
Selecting previously unselected package libarchive-zip-perl.
Preparing to unpack .../015-libarchive-zip-perl_1.60-1_all.deb ...
Unpacking libarchive-zip-perl (1.60-1) ...
Selecting previously unselected package libfile-stripnondeterminism-perl.
Preparing to unpack .../016-libfile-stripnondeterminism-perl_0.042-1_all.deb ...
Unpacking libfile-stripnondeterminism-perl (0.042-1) ...
Selecting previously unselected package libtimedate-perl.
Preparing to unpack .../017-libtimedate-perl_2.3000-2_all.deb ...
Unpacking libtimedate-perl (2.3000-2) ...
Selecting previously unselected package dh-strip-nondeterminism.
Preparing to unpack .../018-dh-strip-nondeterminism_0.042-1_all.deb ...
Unpacking dh-strip-nondeterminism (0.042-1) ...
Selecting previously unselected package libelf1:armhf.
Preparing to unpack .../019-libelf1_0.170-0.5_armhf.deb ...
Unpacking libelf1:armhf (0.170-0.5) ...
Selecting previously unselected package dwz.
Preparing to unpack .../020-dwz_0.12-2_armhf.deb ...
Unpacking dwz (0.12-2) ...
Selecting previously unselected package libglib2.0-0:armhf.
Preparing to unpack .../021-libglib2.0-0_2.56.1-2_armhf.deb ...
Unpacking libglib2.0-0:armhf (2.56.1-2) ...
Selecting previously unselected package libfreetype6:armhf.
Preparing to unpack .../022-libfreetype6_2.8.1-2_armhf.deb ...
Unpacking libfreetype6:armhf (2.8.1-2) ...
Selecting previously unselected package libgraphite2-3:armhf.
Preparing to unpack .../023-libgraphite2-3_1.3.11-2_armhf.deb ...
Unpacking libgraphite2-3:armhf (1.3.11-2) ...
Selecting previously unselected package libharfbuzz0b:armhf.
Preparing to unpack .../024-libharfbuzz0b_1.8.4-1+rpi1_armhf.deb ...
Unpacking libharfbuzz0b:armhf (1.8.4-1+rpi1) ...
Selecting previously unselected package libicu-le-hb0:armhf.
Preparing to unpack .../025-libicu-le-hb0_1.0.3+git161113-5_armhf.deb ...
Unpacking libicu-le-hb0:armhf (1.0.3+git161113-5) ...
Selecting previously unselected package libicu60:armhf.
Preparing to unpack .../026-libicu60_60.2-6_armhf.deb ...
Unpacking libicu60:armhf (60.2-6) ...
Selecting previously unselected package libxml2:armhf.
Preparing to unpack .../027-libxml2_2.9.4+dfsg1-7_armhf.deb ...
Unpacking libxml2:armhf (2.9.4+dfsg1-7) ...
Selecting previously unselected package libcroco3:armhf.
Preparing to unpack .../028-libcroco3_0.6.12-2_armhf.deb ...
Unpacking libcroco3:armhf (0.6.12-2) ...
Selecting previously unselected package gettext.
Preparing to unpack .../029-gettext_0.19.8.1-6_armhf.deb ...
Unpacking gettext (0.19.8.1-6) ...
Selecting previously unselected package intltool-debian.
Preparing to unpack .../030-intltool-debian_0.35.0+20060710.4_all.deb ...
Unpacking intltool-debian (0.35.0+20060710.4) ...
Selecting previously unselected package po-debconf.
Preparing to unpack .../031-po-debconf_1.0.20_all.deb ...
Unpacking po-debconf (1.0.20) ...
Selecting previously unselected package debhelper.
Preparing to unpack .../032-debhelper_11.3.5_all.deb ...
Unpacking debhelper (11.3.5) ...
Selecting previously unselected package python3-lib2to3.
Preparing to unpack .../033-python3-lib2to3_3.6.6-1_all.deb ...
Unpacking python3-lib2to3 (3.6.6-1) ...
Selecting previously unselected package python3-distutils.
Preparing to unpack .../034-python3-distutils_3.6.6-1_all.deb ...
Unpacking python3-distutils (3.6.6-1) ...
Selecting previously unselected package dh-python.
Preparing to unpack .../035-dh-python_3.20180723_all.deb ...
Unpacking dh-python (3.20180723) ...
Selecting previously unselected package fonts-lyx.
Preparing to unpack .../036-fonts-lyx_2.3.0-2_all.deb ...
Unpacking fonts-lyx (2.3.0-2) ...
Selecting previously unselected package libgfortran4:armhf.
Preparing to unpack .../037-libgfortran4_7.3.0-19_armhf.deb ...
Unpacking libgfortran4:armhf (7.3.0-19) ...
Selecting previously unselected package libatlas3-base:armhf.
Preparing to unpack .../038-libatlas3-base_3.10.3-7+rpi1_armhf.deb ...
Unpacking libatlas3-base:armhf (3.10.3-7+rpi1) ...
Selecting previously unselected package libblas3:armhf.
Preparing to unpack .../039-libblas3_3.8.0-1_armhf.deb ...
Unpacking libblas3:armhf (3.8.0-1) ...
Selecting previously unselected package libexpat1-dev:armhf.
Preparing to unpack .../040-libexpat1-dev_2.2.5-3_armhf.deb ...
Unpacking libexpat1-dev:armhf (2.2.5-3) ...
Selecting previously unselected package libjs-jquery.
Preparing to unpack .../041-libjs-jquery_3.2.1-1_all.deb ...
Unpacking libjs-jquery (3.2.1-1) ...
Selecting previously unselected package libjs-jquery-ui.
Preparing to unpack .../042-libjs-jquery-ui_1.12.1+dfsg-5_all.deb ...
Unpacking libjs-jquery-ui (1.12.1+dfsg-5) ...
Selecting previously unselected package liblapack3:armhf.
Preparing to unpack .../043-liblapack3_3.8.0-1_armhf.deb ...
Unpacking liblapack3:armhf (3.8.0-1) ...
Selecting previously unselected package libpython2.7:armhf.
Preparing to unpack .../044-libpython2.7_2.7.15-3_armhf.deb ...
Unpacking libpython2.7:armhf (2.7.15-3) ...
Selecting previously unselected package libpython2.7-dev:armhf.
Preparing to unpack .../045-libpython2.7-dev_2.7.15-3_armhf.deb ...
Unpacking libpython2.7-dev:armhf (2.7.15-3) ...
Selecting previously unselected package libpython2-dev:armhf.
Preparing to unpack .../046-libpython2-dev_2.7.15-3_armhf.deb ...
Unpacking libpython2-dev:armhf (2.7.15-3) ...
Selecting previously unselected package libpython-dev:armhf.
Preparing to unpack .../047-libpython-dev_2.7.15-3_armhf.deb ...
Unpacking libpython-dev:armhf (2.7.15-3) ...
Selecting previously unselected package libpython-all-dev:armhf.
Preparing to unpack .../048-libpython-all-dev_2.7.15-3_armhf.deb ...
Unpacking libpython-all-dev:armhf (2.7.15-3) ...
Selecting previously unselected package libpython3.6:armhf.
Preparing to unpack .../049-libpython3.6_3.6.6-1_armhf.deb ...
Unpacking libpython3.6:armhf (3.6.6-1) ...
Selecting previously unselected package libpython3.6-dev:armhf.
Preparing to unpack .../050-libpython3.6-dev_3.6.6-1_armhf.deb ...
Unpacking libpython3.6-dev:armhf (3.6.6-1) ...
Selecting previously unselected package libpython3-dev:armhf.
Preparing to unpack .../051-libpython3-dev_3.6.5-3_armhf.deb ...
Unpacking libpython3-dev:armhf (3.6.5-3) ...
Selecting previously unselected package libpython3-all-dev:armhf.
Preparing to unpack .../052-libpython3-all-dev_3.6.5-3_armhf.deb ...
Unpacking libpython3-all-dev:armhf (3.6.5-3) ...
Selecting previously unselected package libsvm3.
Preparing to unpack .../053-libsvm3_3.21+ds-1.1+b2_armhf.deb ...
Unpacking libsvm3 (3.21+ds-1.1+b2) ...
Selecting previously unselected package libsvm-dev.
Preparing to unpack .../054-libsvm-dev_3.21+ds-1.1+b2_armhf.deb ...
Unpacking libsvm-dev (3.21+ds-1.1+b2) ...
Selecting previously unselected package python-all.
Preparing to unpack .../055-python-all_2.7.15-3_armhf.deb ...
Unpacking python-all (2.7.15-3) ...
Selecting previously unselected package python2.7-dev.
Preparing to unpack .../056-python2.7-dev_2.7.15-3_armhf.deb ...
Unpacking python2.7-dev (2.7.15-3) ...
Selecting previously unselected package python2-dev.
Preparing to unpack .../057-python2-dev_2.7.15-3_armhf.deb ...
Unpacking python2-dev (2.7.15-3) ...
Selecting previously unselected package python-dev.
Preparing to unpack .../058-python-dev_2.7.15-3_armhf.deb ...
Unpacking python-dev (2.7.15-3) ...
Selecting previously unselected package python-all-dev.
Preparing to unpack .../059-python-all-dev_2.7.15-3_armhf.deb ...
Unpacking python-all-dev (2.7.15-3) ...
Selecting previously unselected package python-atomicwrites.
Preparing to unpack .../060-python-atomicwrites_1.1.5-2_all.deb ...
Unpacking python-atomicwrites (1.1.5-2) ...
Selecting previously unselected package python-attr.
Preparing to unpack .../061-python-attr_17.4.0-2_all.deb ...
Unpacking python-attr (17.4.0-2) ...
Selecting previously unselected package python-backports.functools-lru-cache.
Preparing to unpack .../062-python-backports.functools-lru-cache_1.5-1_all.deb ...
Unpacking python-backports.functools-lru-cache (1.5-1) ...
Selecting previously unselected package python-six.
Preparing to unpack .../063-python-six_1.11.0-2_all.deb ...
Unpacking python-six (1.11.0-2) ...
Selecting previously unselected package python-cycler.
Preparing to unpack .../064-python-cycler_0.10.0-1_all.deb ...
Unpacking python-cycler (0.10.0-1) ...
Selecting previously unselected package python-dateutil.
Preparing to unpack .../065-python-dateutil_2.6.1-1_all.deb ...
Unpacking python-dateutil (2.6.1-1) ...
Selecting previously unselected package python-decorator.
Preparing to unpack .../066-python-decorator_4.3.0-1_all.deb ...
Unpacking python-decorator (4.3.0-1) ...
Selecting previously unselected package python-funcsigs.
Preparing to unpack .../067-python-funcsigs_1.0.2-4_all.deb ...
Unpacking python-funcsigs (1.0.2-4) ...
Selecting previously unselected package python-joblib.
Preparing to unpack .../068-python-joblib_0.11-1_all.deb ...
Unpacking python-joblib (0.11-1) ...
Selecting previously unselected package python-pkg-resources.
Preparing to unpack .../069-python-pkg-resources_39.2.0-1_all.deb ...
Unpacking python-pkg-resources (39.2.0-1) ...
Selecting previously unselected package python-kiwisolver.
Preparing to unpack .../070-python-kiwisolver_1.0.1-2_armhf.deb ...
Unpacking python-kiwisolver (1.0.1-2) ...
Selecting previously unselected package ttf-bitstream-vera.
Preparing to unpack .../071-ttf-bitstream-vera_1.10-8_all.deb ...
Unpacking ttf-bitstream-vera (1.10-8) ...
Selecting previously unselected package python-matplotlib-data.
Preparing to unpack .../072-python-matplotlib-data_2.2.2-4_all.deb ...
Unpacking python-matplotlib-data (2.2.2-4) ...
Selecting previously unselected package python-pyparsing.
Preparing to unpack .../073-python-pyparsing_2.2.0+dfsg1-2_all.deb ...
Unpacking python-pyparsing (2.2.0+dfsg1-2) ...
Selecting previously unselected package python-tz.
Preparing to unpack .../074-python-tz_2018.5-1_all.deb ...
Unpacking python-tz (2018.5-1) ...
Selecting previously unselected package python-numpy.
Preparing to unpack .../075-python-numpy_1%3a1.14.5-1_armhf.deb ...
Unpacking python-numpy (1:1.14.5-1) ...
Selecting previously unselected package python-subprocess32.
Preparing to unpack .../076-python-subprocess32_3.5.2-1_armhf.deb ...
Unpacking python-subprocess32 (3.5.2-1) ...
Selecting previously unselected package python-matplotlib.
Preparing to unpack .../077-python-matplotlib_2.2.2-4_armhf.deb ...
Unpacking python-matplotlib (2.2.2-4) ...
Selecting previously unselected package python-more-itertools.
Preparing to unpack .../078-python-more-itertools_4.2.0-1_all.deb ...
Unpacking python-more-itertools (4.2.0-1) ...
Selecting previously unselected package python-nose.
Preparing to unpack .../079-python-nose_1.3.7-4_all.deb ...
Unpacking python-nose (1.3.7-4) ...
Selecting previously unselected package python-pluggy.
Preparing to unpack .../080-python-pluggy_0.6.0-1_all.deb ...
Unpacking python-pluggy (0.6.0-1) ...
Selecting previously unselected package python-py.
Preparing to unpack .../081-python-py_1.5.4-1_all.deb ...
Unpacking python-py (1.5.4-1) ...
Selecting previously unselected package python-pytest.
Preparing to unpack .../082-python-pytest_3.6.4-1_all.deb ...
Unpacking python-pytest (3.6.4-1) ...
Selecting previously unselected package python-scipy.
Preparing to unpack .../083-python-scipy_1.1.0-1_armhf.deb ...
Unpacking python-scipy (1.1.0-1) ...
Selecting previously unselected package python-setuptools.
Preparing to unpack .../084-python-setuptools_39.2.0-1_all.deb ...
Unpacking python-setuptools (39.2.0-1) ...
Selecting previously unselected package python3-all.
Preparing to unpack .../085-python3-all_3.6.5-3_armhf.deb ...
Unpacking python3-all (3.6.5-3) ...
Selecting previously unselected package python3.6-dev.
Preparing to unpack .../086-python3.6-dev_3.6.6-1_armhf.deb ...
Unpacking python3.6-dev (3.6.6-1) ...
Selecting previously unselected package python3-dev.
Preparing to unpack .../087-python3-dev_3.6.5-3_armhf.deb ...
Unpacking python3-dev (3.6.5-3) ...
Selecting previously unselected package python3-all-dev.
Preparing to unpack .../088-python3-all-dev_3.6.5-3_armhf.deb ...
Unpacking python3-all-dev (3.6.5-3) ...
Selecting previously unselected package python3-atomicwrites.
Preparing to unpack .../089-python3-atomicwrites_1.1.5-2_all.deb ...
Unpacking python3-atomicwrites (1.1.5-2) ...
Selecting previously unselected package python3-attr.
Preparing to unpack .../090-python3-attr_17.4.0-2_all.deb ...
Unpacking python3-attr (17.4.0-2) ...
Selecting previously unselected package python3-six.
Preparing to unpack .../091-python3-six_1.11.0-2_all.deb ...
Unpacking python3-six (1.11.0-2) ...
Selecting previously unselected package python3-cycler.
Preparing to unpack .../092-python3-cycler_0.10.0-1_all.deb ...
Unpacking python3-cycler (0.10.0-1) ...
Selecting previously unselected package python3-dateutil.
Preparing to unpack .../093-python3-dateutil_2.6.1-1_all.deb ...
Unpacking python3-dateutil (2.6.1-1) ...
Selecting previously unselected package python3-decorator.
Preparing to unpack .../094-python3-decorator_4.3.0-1_all.deb ...
Unpacking python3-decorator (4.3.0-1) ...
Selecting previously unselected package python3-joblib.
Preparing to unpack .../095-python3-joblib_0.11-1_all.deb ...
Unpacking python3-joblib (0.11-1) ...
Selecting previously unselected package python3-pkg-resources.
Preparing to unpack .../096-python3-pkg-resources_39.2.0-1_all.deb ...
Unpacking python3-pkg-resources (39.2.0-1) ...
Selecting previously unselected package python3-kiwisolver.
Preparing to unpack .../097-python3-kiwisolver_1.0.1-2_armhf.deb ...
Unpacking python3-kiwisolver (1.0.1-2) ...
Selecting previously unselected package python3-pyparsing.
Preparing to unpack .../098-python3-pyparsing_2.2.0+dfsg1-2_all.deb ...
Unpacking python3-pyparsing (2.2.0+dfsg1-2) ...
Selecting previously unselected package python3-tz.
Preparing to unpack .../099-python3-tz_2018.5-1_all.deb ...
Unpacking python3-tz (2018.5-1) ...
Selecting previously unselected package python3-numpy.
Preparing to unpack .../100-python3-numpy_1%3a1.14.5-1_armhf.deb ...
Unpacking python3-numpy (1:1.14.5-1) ...
Selecting previously unselected package python3-matplotlib.
Preparing to unpack .../101-python3-matplotlib_2.2.2-4_armhf.deb ...
Unpacking python3-matplotlib (2.2.2-4) ...
Selecting previously unselected package python3-more-itertools.
Preparing to unpack .../102-python3-more-itertools_4.2.0-1_all.deb ...
Unpacking python3-more-itertools (4.2.0-1) ...
Selecting previously unselected package python3-nose.
Preparing to unpack .../103-python3-nose_1.3.7-4_all.deb ...
Unpacking python3-nose (1.3.7-4) ...
Selecting previously unselected package python3-pluggy.
Preparing to unpack .../104-python3-pluggy_0.6.0-1_all.deb ...
Unpacking python3-pluggy (0.6.0-1) ...
Selecting previously unselected package python3-py.
Preparing to unpack .../105-python3-py_1.5.4-1_all.deb ...
Unpacking python3-py (1.5.4-1) ...
Selecting previously unselected package python3-pytest.
Preparing to unpack .../106-python3-pytest_3.6.4-1_all.deb ...
Unpacking python3-pytest (3.6.4-1) ...
Selecting previously unselected package python3-scipy.
Preparing to unpack .../107-python3-scipy_1.1.0-1_armhf.deb ...
Unpacking python3-scipy (1.1.0-1) ...
Selecting previously unselected package python3-setuptools.
Preparing to unpack .../108-python3-setuptools_39.2.0-1_all.deb ...
Unpacking python3-setuptools (39.2.0-1) ...
Selecting previously unselected package sbuild-build-depends-scikit-learn-dummy.
Preparing to unpack .../109-sbuild-build-depends-scikit-learn-dummy_0.invalid.0_armhf.deb ...
Unpacking sbuild-build-depends-scikit-learn-dummy (0.invalid.0) ...
Setting up libjs-jquery (3.2.1-1) ...
Setting up libarchive-zip-perl (1.60-1) ...
Setting up mime-support (3.61) ...
Installing new version of config file /etc/mime.types ...
Setting up libgfortran4:armhf (7.3.0-19) ...
Setting up libtimedate-perl (2.3000-2) ...
Setting up libsigsegv2:armhf (2.12-2) ...
Setting up libelf1:armhf (0.170-0.5) ...
Setting up groff-base (1.22.3-10) ...
Setting up libglib2.0-0:armhf (2.56.1-2) ...
No schema files found: removed existing output file.
Setting up gettext-base (0.19.8.1-6) ...
Setting up libpipeline1:armhf (1.5.0-1) ...
Setting up libsvm3 (3.21+ds-1.1+b2) ...
Setting up m4 (1.4.18-1) ...
Setting up libbsd0:armhf (0.9.1-1) ...
Setting up libfreetype6:armhf (2.8.1-2) ...
Setting up libmagic-mgc (1:5.33-3) ...
Setting up libmagic1:armhf (1:5.33-3) ...
Setting up libgraphite2-3:armhf (1.3.11-2) ...
Setting up libblas3:armhf (3.8.0-1) ...
update-alternatives: using /usr/lib/arm-linux-gnueabihf/blas/libblas.so.3 to provide /usr/lib/arm-linux-gnueabihf/libblas.so.3 (libblas.so.3-arm-linux-gnueabihf) in auto mode
Processing triggers for libc-bin (2.27-3+rpi1) ...
Setting up dwz (0.12-2) ...
Setting up autotools-dev (20180224.1) ...
Setting up libjs-jquery-ui (1.12.1+dfsg-5) ...
Setting up libexpat1-dev:armhf (2.2.5-3) ...
Setting up ttf-bitstream-vera (1.10-8) ...
Setting up bsdmainutils (11.1.2) ...
update-alternatives: using /usr/bin/bsd-write to provide /usr/bin/write (write) in auto mode
update-alternatives: using /usr/bin/bsd-from to provide /usr/bin/from (from) in auto mode
Setting up libpython2.7-stdlib:armhf (2.7.15-3) ...
Setting up autopoint (0.19.8.1-6) ...
Setting up libmpdec2:armhf (2.4.2-2) ...
Setting up fonts-lyx (2.3.0-2) ...
Setting up libsvm-dev (3.21+ds-1.1+b2) ...
Setting up libfile-stripnondeterminism-perl (0.042-1) ...
Setting up libpython3.6-stdlib:armhf (3.6.6-1) ...
Setting up libatlas3-base:armhf (3.10.3-7+rpi1) ...
update-alternatives: using /usr/lib/arm-linux-gnueabihf/atlas/libblas.so.3 to provide /usr/lib/arm-linux-gnueabihf/libblas.so.3 (libblas.so.3-arm-linux-gnueabihf) in auto mode
update-alternatives: using /usr/lib/arm-linux-gnueabihf/atlas/liblapack.so.3 to provide /usr/lib/arm-linux-gnueabihf/liblapack.so.3 (liblapack.so.3-arm-linux-gnueabihf) in auto mode
Setting up python3.6 (3.6.6-1) ...
Setting up python-matplotlib-data (2.2.2-4) ...
Setting up liblapack3:armhf (3.8.0-1) ...
Setting up python2.7 (2.7.15-3) ...
Setting up libharfbuzz0b:armhf (1.8.4-1+rpi1) ...
Setting up autoconf (2.69-11) ...
Setting up file (1:5.33-3) ...
Setting up libpython2.7:armhf (2.7.15-3) ...
Setting up automake (1:1.15.1-3.1) ...
update-alternatives: using /usr/bin/automake-1.15 to provide /usr/bin/automake (automake) in auto mode
Setting up man-db (2.8.3-2) ...
Not building database; man-db/auto-update is not 'true'.
Setting up libpython2-stdlib:armhf (2.7.15-3) ...
Setting up libpython2.7-dev:armhf (2.7.15-3) ...
Setting up python2.7-dev (2.7.15-3) ...
Setting up libpython3.6:armhf (3.6.6-1) ...
Setting up libtool (2.4.6-2.1) ...
Setting up libpython3-stdlib:armhf (3.6.5-3) ...
Setting up python3 (3.6.5-3) ...
Setting up python3-numpy (1:1.14.5-1) ...
Setting up python3-six (1.11.0-2) ...
Setting up python3-pyparsing (2.2.0+dfsg1-2) ...
Setting up python3-cycler (0.10.0-1) ...
Setting up python3-more-itertools (4.2.0-1) ...
Setting up python3-pkg-resources (39.2.0-1) ...
Setting up python3-pluggy (0.6.0-1) ...
Setting up libpython3.6-dev:armhf (3.6.6-1) ...
Setting up python2 (2.7.15-3) ...
Setting up libpython2-dev:armhf (2.7.15-3) ...
Setting up libpython-stdlib:armhf (2.7.15-3) ...
Setting up python3-nose (1.3.7-4) ...
Setting up python2-dev (2.7.15-3) ...
Setting up python3-attr (17.4.0-2) ...
Setting up cython3 (0.28.4-1) ...
Setting up python3.6-dev (3.6.6-1) ...
Setting up python3-lib2to3 (3.6.6-1) ...
Setting up python3-decorator (4.3.0-1) ...
Setting up python3-tz (2018.5-1) ...
Setting up python3-distutils (3.6.6-1) ...
Setting up python (2.7.15-3) ...
Setting up python3-joblib (0.11-1) ...
Setting up python3-dateutil (2.6.1-1) ...
Setting up python3-atomicwrites (1.1.5-2) ...
Setting up libpython3-dev:armhf (3.6.5-3) ...
Setting up python-pyparsing (2.2.0+dfsg1-2) ...
Setting up libpython-dev:armhf (2.7.15-3) ...
Setting up python-atomicwrites (1.1.5-2) ...
Setting up python3-scipy (1.1.0-1) ...
Setting up python3-kiwisolver (1.0.1-2) ...
Setting up python-attr (17.4.0-2) ...
Setting up python3-py (1.5.4-1) ...
Setting up python-backports.functools-lru-cache (1.5-1) ...
Setting up python-dev (2.7.15-3) ...
Setting up python-joblib (0.11-1) ...
Setting up python3-pytest (3.6.4-1) ...
Setting up python-pluggy (0.6.0-1) ...
Setting up python-tz (2018.5-1) ...
Setting up libpython-all-dev:armhf (2.7.15-3) ...
Setting up python-pkg-resources (39.2.0-1) ...
Setting up python-numpy (1:1.14.5-1) ...
Setting up cython (0.28.4-1) ...
Setting up python-six (1.11.0-2) ...
Setting up libpython3-all-dev:armhf (3.6.5-3) ...
Setting up python-funcsigs (1.0.2-4) ...
Setting up python-decorator (4.3.0-1) ...
Setting up python-subprocess32 (3.5.2-1) ...
Setting up python3-setuptools (39.2.0-1) ...
Setting up python3-matplotlib (2.2.2-4) ...
Setting up dh-python (3.20180723) ...
Setting up python-nose (1.3.7-4) ...
Setting up python-all (2.7.15-3) ...
Setting up python-setuptools (39.2.0-1) ...
Setting up python-kiwisolver (1.0.1-2) ...
Setting up python-scipy (1.1.0-1) ...
Setting up python-py (1.5.4-1) ...
Setting up python-more-itertools (4.2.0-1) ...
Setting up python3-dev (3.6.5-3) ...
Setting up python-pytest (3.6.4-1) ...
Setting up python-cycler (0.10.0-1) ...
Setting up python-dateutil (2.6.1-1) ...
Setting up python-all-dev (2.7.15-3) ...
Setting up python3-all (3.6.5-3) ...
Setting up python3-all-dev (3.6.5-3) ...
Setting up python-matplotlib (2.2.2-4) ...
Setting up dh-autoreconf (19) ...
Setting up libicu-le-hb0:armhf (1.0.3+git161113-5) ...
Setting up dh-strip-nondeterminism (0.042-1) ...
Setting up libicu60:armhf (60.2-6) ...
Setting up libxml2:armhf (2.9.4+dfsg1-7) ...
Setting up libcroco3:armhf (0.6.12-2) ...
Setting up gettext (0.19.8.1-6) ...
Setting up intltool-debian (0.35.0+20060710.4) ...
Setting up po-debconf (1.0.20) ...
Setting up debhelper (11.3.5) ...
Setting up sbuild-build-depends-scikit-learn-dummy (0.invalid.0) ...
Processing triggers for libc-bin (2.27-3+rpi1) ...
W: No sandbox user '_apt' on the system, can not drop privileges
+------------------------------------------------------------------------------+
| Build environment |
+------------------------------------------------------------------------------+
Kernel: Linux 4.4.0-124-generic armhf (armv8l)
Toolchain package versions: binutils_2.30-21+rpi1 dpkg-dev_1.19.0.5 g++-7_7.3.0-19 gcc-7_7.3.0-19 libc6-dev_2.27-3+rpi1 libstdc++-7-dev_7.3.0-19 libstdc++6_8.1.0-8+rpi1 linux-libc-dev_4.16.12-1+rpi1
Package versions: adduser_3.117 apt_1.6.1 autoconf_2.69-11 automake_1:1.15.1-3.1 autopoint_0.19.8.1-6 autotools-dev_20180224.1 base-files_10.1+rpi1 base-passwd_3.5.45 bash_4.4.18-3 binutils_2.30-21+rpi1 binutils-arm-linux-gnueabihf_2.30-21+rpi1 binutils-common_2.30-21+rpi1 bsdmainutils_11.1.2 bsdutils_1:2.32-0.1 build-essential_12.5 bzip2_1.0.6-8.1 ca-certificates_20170717 coreutils_8.28-1 cpio_2.12+dfsg-6 cpp_4:7.3.0-3+rpi1 cpp-7_7.3.0-19 cython_0.28.4-1 cython3_0.28.4-1 dash_0.5.8-2.10 dbus_1.12.8-3 dbus-user-session_1.12.8-3 debconf_1.5.67 debhelper_11.3.5 debianutils_4.8.6 dh-autoreconf_19 dh-python_3.20180723 dh-strip-nondeterminism_0.042-1 diffutils_1:3.6-1 dirmngr_2.2.8-1 dmsetup_2:1.02.145-4.1+b4 dpkg_1.19.0.5 dpkg-dev_1.19.0.5 dwz_0.12-2 e2fslibs_1.44.2-1 e2fsprogs_1.44.2-1 e2fsprogs-l10n_1.44.2-1 fakeroot_1.22-2 fdisk_2.32-0.1 file_1:5.33-3 findutils_4.6.0+git+20171230-2 fonts-lyx_2.3.0-2 g++_4:7.3.0-3+rpi1 g++-7_7.3.0-19 gcc_4:7.3.0-3+rpi1 gcc-4.6-base_4.6.4-5+rpi1 gcc-4.7-base_4.7.3-11+rpi1 gcc-4.8-base_4.8.5-4 gcc-4.9-base_4.9.4-2+rpi1+b7 gcc-5-base_5.5.0-8 gcc-7_7.3.0-19 gcc-7-base_7.3.0-19 gcc-8-base_8.1.0-8+rpi1 gettext_0.19.8.1-6 gettext-base_0.19.8.1-6 gnupg_2.2.8-1 gnupg-agent_2.2.8-1 gnupg-l10n_2.2.8-1 gnupg-utils_2.2.8-1 gpg_2.2.8-1 gpg-agent_2.2.8-1 gpg-wks-client_2.2.8-1 gpg-wks-server_2.2.8-1 gpgconf_2.2.8-1 gpgsm_2.2.8-1 gpgv_2.2.8-1 grep_3.1-2 groff-base_1.22.3-10 gzip_1.6-5 hostname_3.20 inetutils-ping_2:1.9.4-3 init-system-helpers_1.51 initramfs-tools_0.130 initramfs-tools-core_0.130 intltool-debian_0.35.0+20060710.4 klibc-utils_2.0.4-11+rpi1 kmod_25-1 libacl1_2.2.52-3 libapparmor1_2.12-4 libapt-pkg5.0_1.6.1 libarchive-zip-perl_1.60-1 libargon2-0_0~20161029-2 libasan4_7.3.0-19 libassuan0_2.5.1-2 libatlas3-base_3.10.3-7+rpi1 libatomic1_8.1.0-8+rpi1 libattr1_1:2.4.47-2 libaudit-common_1:2.8.3-1 libaudit1_1:2.8.3-1 libbinutils_2.30-21+rpi1 libblas3_3.8.0-1 libblkid1_2.32-0.1 libbsd0_0.9.1-1 libbz2-1.0_1.0.6-8.1 libc-bin_2.27-3+rpi1 libc-dev-bin_2.27-3+rpi1 libc6_2.27-3+rpi1 libc6-dev_2.27-3+rpi1 libcap-ng0_0.7.9-1 libcap2_1:2.25-1.2 libcc1-0_8.1.0-8+rpi1 libcilkrts5_7.3.0-19 libcom-err2_1.44.2-1 libcroco3_0.6.12-2 libcryptsetup12_2:2.0.2-1 libcryptsetup4_2:1.7.5-1 libdb5.3_5.3.28-13.1 libdbus-1-3_1.12.8-3 libdebconfclient0_0.243 libdevmapper1.02.1_2:1.02.145-4.1+b4 libdpkg-perl_1.19.0.5 libdrm-common_2.4.92-1+rpi1 libdrm2_2.4.92-1+rpi1 libelf1_0.170-0.5 libexpat1_2.2.5-3 libexpat1-dev_2.2.5-3 libext2fs2_1.44.2-1 libfakeroot_1.22-2 libfdisk1_2.32-0.1 libffi6_3.2.1-8 libfile-stripnondeterminism-perl_0.042-1 libfreetype6_2.8.1-2 libgcc-7-dev_7.3.0-19 libgcc1_1:8.1.0-8+rpi1 libgcrypt20_1.8.3-1 libgdbm-compat4_1.14.1-6 libgdbm3_1.8.3-14 libgdbm5_1.14.1-6 libgfortran4_7.3.0-19 libglib2.0-0_2.56.1-2 libgmp10_2:6.1.2+dfsg-3 libgnutls30_3.5.18-1 libgomp1_8.1.0-8+rpi1 libgpg-error0_1.31-1 libgraphite2-3_1.3.11-2 libharfbuzz0b_1.8.4-1+rpi1 libhogweed4_3.4-1 libicu-le-hb0_1.0.3+git161113-5 libicu60_60.2-6 libidn11_1.33-2.2 libidn2-0_2.0.4-1.1 libip4tc0_1.6.2-1 libisl19_0.19-1 libjs-jquery_3.2.1-1 libjs-jquery-ui_1.12.1+dfsg-5 libjson-c3_0.12.1-1.3 libklibc_2.0.4-11+rpi1 libkmod2_25-1 libksba8_1.3.5-2 liblapack3_3.8.0-1 libldap-2.4-2_2.4.46+dfsg-5+rpi1 libldap-common_2.4.46+dfsg-5+rpi1 liblz4-1_1.8.2-1+rpi1 liblzma5_5.2.2-1.3 libmagic-mgc_1:5.33-3 libmagic1_1:5.33-3 libmount1_2.32-0.1 libmpc3_1.1.0-1 libmpdec2_2.4.2-2 libmpfr6_4.0.1-1 libncurses5_6.1+20180210-4 libncurses6_6.1+20180210-4 libncursesw5_6.1+20180210-4 libncursesw6_6.1+20180210-4 libnettle6_3.4-1 libnpth0_1.5-4 libnss-systemd_238-4 libp11-kit0_0.23.12-2 libpam-modules_1.1.8-3.7 libpam-modules-bin_1.1.8-3.7 libpam-runtime_1.1.8-3.7 libpam-systemd_238-4 libpam0g_1.1.8-3.7 libpcre3_2:8.39-9 libperl5.24_5.24.1-7 libperl5.26_5.26.2-6 libpipeline1_1.5.0-1 libplymouth4_0.9.3-3 libpng16-16_1.6.34-1 libprocps7_2:3.3.15-2 libpython-all-dev_2.7.15-3 libpython-dev_2.7.15-3 libpython-stdlib_2.7.15-3 libpython2-dev_2.7.15-3 libpython2-stdlib_2.7.15-3 libpython2.7_2.7.15-3 libpython2.7-dev_2.7.15-3 libpython2.7-minimal_2.7.15-3 libpython2.7-stdlib_2.7.15-3 libpython3-all-dev_3.6.5-3 libpython3-dev_3.6.5-3 libpython3-stdlib_3.6.5-3 libpython3.6_3.6.6-1 libpython3.6-dev_3.6.6-1 libpython3.6-minimal_3.6.6-1 libpython3.6-stdlib_3.6.6-1 libreadline7_7.0-5 libsasl2-2_2.1.27~101-g0780600+dfsg-3.1 libsasl2-modules_2.1.27~101-g0780600+dfsg-3.1 libsasl2-modules-db_2.1.27~101-g0780600+dfsg-3.1 libseccomp2_2.3.3-2 libselinux1_2.8-1 libsemanage-common_2.8-1 libsemanage1_2.8-1 libsepol1_2.8-1 libsigsegv2_2.12-2 libsmartcols1_2.32-0.1 libsqlite3-0_3.24.0-1 libss2_1.44.2-1 libssl1.1_1.1.0h-4 libstdc++-7-dev_7.3.0-19 libstdc++6_8.1.0-8+rpi1 libsvm-dev_3.21+ds-1.1+b2 libsvm3_3.21+ds-1.1+b2 libsystemd0_238-4 libtasn1-6_4.13-3 libtimedate-perl_2.3000-2 libtinfo5_6.1+20180210-4 libtinfo6_6.1+20180210-4 libtool_2.4.6-2.1 libubsan0_7.3.0-19 libudev1_238-4 libunistring2_0.9.8-1 libustr-1.0-1_1.0.4-6 libuuid1_2.32-0.1 libxml2_2.9.4+dfsg1-7 libzstd1_1.3.4+dfsg-3+rpi1 linux-base_4.5 linux-libc-dev_4.16.12-1+rpi1 login_1:4.5-1 lsb-base_9.20170808+rpi1 m4_1.4.18-1 make_4.1-9.1 makedev_2.3.1-93 man-db_2.8.3-2 mawk_1.3.3-17 mime-support_3.61 mount_2.32-0.1 multiarch-support_2.27-3+rpi1 nano_2.9.8-1 ncurses-base_6.1+20180210-4 ncurses-bin_6.1+20180210-4 netbase_5.4 openssl_1.1.0h-4 passwd_1:4.5-1 patch_2.7.6-2 perl_5.26.2-6 perl-base_5.26.2-6 perl-modules-5.24_5.24.1-7 perl-modules-5.26_5.26.2-6 pinentry-curses_1.1.0-1 plymouth_0.9.3-3 po-debconf_1.0.20 procps_2:3.3.15-2 python_2.7.15-3 python-all_2.7.15-3 python-all-dev_2.7.15-3 python-atomicwrites_1.1.5-2 python-attr_17.4.0-2 python-backports.functools-lru-cache_1.5-1 python-cycler_0.10.0-1 python-dateutil_2.6.1-1 python-decorator_4.3.0-1 python-dev_2.7.15-3 python-funcsigs_1.0.2-4 python-joblib_0.11-1 python-kiwisolver_1.0.1-2 python-matplotlib_2.2.2-4 python-matplotlib-data_2.2.2-4 python-minimal_2.7.15-3 python-more-itertools_4.2.0-1 python-nose_1.3.7-4 python-numpy_1:1.14.5-1 python-pkg-resources_39.2.0-1 python-pluggy_0.6.0-1 python-py_1.5.4-1 python-pyparsing_2.2.0+dfsg1-2 python-pytest_3.6.4-1 python-scipy_1.1.0-1 python-setuptools_39.2.0-1 python-six_1.11.0-2 python-subprocess32_3.5.2-1 python-tz_2018.5-1 python2_2.7.15-3 python2-dev_2.7.15-3 python2-minimal_2.7.15-3 python2.7_2.7.15-3 python2.7-dev_2.7.15-3 python2.7-minimal_2.7.15-3 python3_3.6.5-3 python3-all_3.6.5-3 python3-all-dev_3.6.5-3 python3-atomicwrites_1.1.5-2 python3-attr_17.4.0-2 python3-cycler_0.10.0-1 python3-dateutil_2.6.1-1 python3-decorator_4.3.0-1 python3-dev_3.6.5-3 python3-distutils_3.6.6-1 python3-joblib_0.11-1 python3-kiwisolver_1.0.1-2 python3-lib2to3_3.6.6-1 python3-matplotlib_2.2.2-4 python3-minimal_3.6.5-3 python3-more-itertools_4.2.0-1 python3-nose_1.3.7-4 python3-numpy_1:1.14.5-1 python3-pkg-resources_39.2.0-1 python3-pluggy_0.6.0-1 python3-py_1.5.4-1 python3-pyparsing_2.2.0+dfsg1-2 python3-pytest_3.6.4-1 python3-scipy_1.1.0-1 python3-setuptools_39.2.0-1 python3-six_1.11.0-2 python3-tz_2018.5-1 python3.6_3.6.6-1 python3.6-dev_3.6.6-1 python3.6-minimal_3.6.6-1 raspbian-archive-keyring_20120528.2 readline-common_7.0-5 sbuild-build-depends-core-dummy_0.invalid.0 sbuild-build-depends-scikit-learn-dummy_0.invalid.0 sed_4.4-2 sensible-utils_0.0.12 systemd_238-4 systemd-sysv_238-4 sysvinit-utils_2.88dsf-59.10 tar_1.30+dfsg-2 ttf-bitstream-vera_1.10-8 tzdata_2018e-1 udev_238-4 util-linux_2.32-0.1 xz-utils_5.2.2-1.3 zlib1g_1:1.2.11.dfsg-1
+------------------------------------------------------------------------------+
| Build |
+------------------------------------------------------------------------------+
Unpack source
-------------
gpgv: unknown type of key resource 'trustedkeys.kbx'
gpgv: keyblock resource '/sbuild-nonexistent/.gnupg/trustedkeys.kbx': General error
gpgv: Signature made Fri Jul 27 18:27:02 2018 UTC
gpgv: using RSA key C5B905F0E8D9FD9668FF366FA2DE235062DA33FA
gpgv: Can't check signature: No public key
dpkg-source: warning: failed to verify signature on ./scikit-learn_0.19.2-1.dsc
dpkg-source: info: extracting scikit-learn in /<<PKGBUILDDIR>>
dpkg-source: info: unpacking scikit-learn_0.19.2.orig.tar.gz
dpkg-source: info: unpacking scikit-learn_0.19.2-1.debian.tar.xz
dpkg-source: info: applying changeset_6c99d797d7c71d216503612a242bffb8d006582d.diff
dpkg-source: info: applying deb_precisionloss
dpkg-source: info: applying deb_no_joblib_compat
dpkg-source: info: applying deb_no_tinyclues_external_image
dpkg-source: info: applying deb_no_online_jquery
dpkg-source: info: applying up_workaround_buggy_pil
dpkg-source: info: applying deb_skip_some_tests_on_arm
dpkg-source: info: applying deb_use_system_joblib
dpkg-source: info: applying deb_no_google_analytics
dpkg-source: info: applying deb_git_revision_cmd
dpkg-source: info: applying deb_no_plot_gallery
dpkg-source: info: applying deb_optional_linkcode
dpkg-source: info: applying deb_nopaypal
dpkg-source: info: applying 0001-BF-Define-message-since-exception-might-happen-in-in.patch
Check disk space
----------------
Sufficient free space for build
User Environment
----------------
APT_CONFIG=/var/lib/sbuild/apt.conf
DEB_BUILD_OPTIONS=parallel=4
HOME=/sbuild-nonexistent
LC_ALL=POSIX
LOGNAME=buildd
PATH=/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin:/usr/games
SCHROOT_ALIAS_NAME=buster-staging-armhf-sbuild
SCHROOT_CHROOT_NAME=buster-staging-armhf-sbuild
SCHROOT_COMMAND=env
SCHROOT_GID=112
SCHROOT_GROUP=buildd
SCHROOT_SESSION_ID=buster-staging-armhf-sbuild-67214b67-20c5-4792-ae99-89c753d17516
SCHROOT_UID=107
SCHROOT_USER=buildd
SHELL=/bin/sh
USER=buildd
dpkg-buildpackage
-----------------
dpkg-buildpackage: info: source package scikit-learn
dpkg-buildpackage: info: source version 0.19.2-1
dpkg-buildpackage: info: source distribution unstable
dpkg-source --before-build scikit-learn-0.19.2
dpkg-buildpackage: info: host architecture armhf
fakeroot debian/rules clean
Traceback (most recent call last):
File "<string>", line 1, in <module>
ImportError: No module named sphinx
py3versions: no X-Python3-Version in control file, using supported versions
py3versions: no X-Python3-Version in control file, using supported versions
dpkg: error: --compare-versions takes three arguments: <version> <relation> <version>
Type dpkg --help for help about installing and deinstalling packages [*];
Use 'apt' or 'aptitude' for user-friendly package management;
Type dpkg -Dhelp for a list of dpkg debug flag values;
Type dpkg --force-help for a list of forcing options;
Type dpkg-deb --help for help about manipulating *.deb files;
Options marked [*] produce a lot of output - pipe it through 'less' or 'more' !
dpkg: error: --compare-versions takes three arguments: <version> <relation> <version>
Type dpkg --help for help about installing and deinstalling packages [*];
Use 'apt' or 'aptitude' for user-friendly package management;
Type dpkg -Dhelp for a list of dpkg debug flag values;
Type dpkg --force-help for a list of forcing options;
Type dpkg-deb --help for help about manipulating *.deb files;
Options marked [*] produce a lot of output - pipe it through 'less' or 'more' !
: # Explicit build system to avoid use of all-in-1 Makefile
dpkg: error: --compare-versions takes three arguments: <version> <relation> <version>
Type dpkg --help for help about installing and deinstalling packages [*];
Use 'apt' or 'aptitude' for user-friendly package management;
Type dpkg -Dhelp for a list of dpkg debug flag values;
Type dpkg --force-help for a list of forcing options;
Type dpkg-deb --help for help about manipulating *.deb files;
Options marked [*] produce a lot of output - pipe it through 'less' or 'more' !
dh clean --buildsystem=python_distutils --with python2,python3,autoreconf
dh_auto_clean -O--buildsystem=python_distutils
dh_auto_clean: Please use the third-party "pybuild" build system instead of python-distutils
dh_auto_clean: This feature will be removed in compat 12.
python setup.py clean -a
Partial import of sklearn during the build process.
running clean
'build/lib.linux-armv8l-2.7' does not exist -- can't clean it
'build/bdist.linux-armv8l' does not exist -- can't clean it
'build/scripts-2.7' does not exist -- can't clean it
Will remove generated .c files
find . -name \*.pyc -exec rm {} \+
debian/rules override_dh_clean
make[1]: Entering directory '/<<PKGBUILDDIR>>'
Traceback (most recent call last):
File "<string>", line 1, in <module>
ImportError: No module named sphinx
py3versions: no X-Python3-Version in control file, using supported versions
py3versions: no X-Python3-Version in control file, using supported versions
dpkg: error: --compare-versions takes three arguments: <version> <relation> <version>
Type dpkg --help for help about installing and deinstalling packages [*];
Use 'apt' or 'aptitude' for user-friendly package management;
Type dpkg -Dhelp for a list of dpkg debug flag values;
Type dpkg --force-help for a list of forcing options;
Type dpkg-deb --help for help about manipulating *.deb files;
Options marked [*] produce a lot of output - pipe it through 'less' or 'more' !
dpkg: error: --compare-versions takes three arguments: <version> <relation> <version>
Type dpkg --help for help about installing and deinstalling packages [*];
Use 'apt' or 'aptitude' for user-friendly package management;
Type dpkg -Dhelp for a list of dpkg debug flag values;
Type dpkg --force-help for a list of forcing options;
Type dpkg-deb --help for help about manipulating *.deb files;
Options marked [*] produce a lot of output - pipe it through 'less' or 'more' !
rm -rf build doc/_build doc/auto_examples *-stamp *.egg-info sklearn/datasets/__config__.py
dpkg: error: --compare-versions takes three arguments: <version> <relation> <version>
Type dpkg --help for help about installing and deinstalling packages [*];
Use 'apt' or 'aptitude' for user-friendly package management;
Type dpkg -Dhelp for a list of dpkg debug flag values;
Type dpkg --force-help for a list of forcing options;
Type dpkg-deb --help for help about manipulating *.deb files;
Options marked [*] produce a lot of output - pipe it through 'less' or 'more' !
dh_clean
make[1]: Leaving directory '/<<PKGBUILDDIR>>'
debian/rules build-arch
Traceback (most recent call last):
File "<string>", line 1, in <module>
ImportError: No module named sphinx
py3versions: no X-Python3-Version in control file, using supported versions
py3versions: no X-Python3-Version in control file, using supported versions
dpkg: error: --compare-versions takes three arguments: <version> <relation> <version>
Type dpkg --help for help about installing and deinstalling packages [*];
Use 'apt' or 'aptitude' for user-friendly package management;
Type dpkg -Dhelp for a list of dpkg debug flag values;
Type dpkg --force-help for a list of forcing options;
Type dpkg-deb --help for help about manipulating *.deb files;
Options marked [*] produce a lot of output - pipe it through 'less' or 'more' !
dpkg: error: --compare-versions takes three arguments: <version> <relation> <version>
Type dpkg --help for help about installing and deinstalling packages [*];
Use 'apt' or 'aptitude' for user-friendly package management;
Type dpkg -Dhelp for a list of dpkg debug flag values;
Type dpkg --force-help for a list of forcing options;
Type dpkg-deb --help for help about manipulating *.deb files;
Options marked [*] produce a lot of output - pipe it through 'less' or 'more' !
: # Explicit build system to avoid use of all-in-1 Makefile
dpkg: error: --compare-versions takes three arguments: <version> <relation> <version>
Type dpkg --help for help about installing and deinstalling packages [*];
Use 'apt' or 'aptitude' for user-friendly package management;
Type dpkg -Dhelp for a list of dpkg debug flag values;
Type dpkg --force-help for a list of forcing options;
Type dpkg-deb --help for help about manipulating *.deb files;
Options marked [*] produce a lot of output - pipe it through 'less' or 'more' !
dh build-arch --buildsystem=python_distutils --with python2,python3,autoreconf
dh_update_autotools_config -a -O--buildsystem=python_distutils
debian/rules override_dh_autoreconf
make[1]: Entering directory '/<<PKGBUILDDIR>>'
Traceback (most recent call last):
File "<string>", line 1, in <module>
ImportError: No module named sphinx
py3versions: no X-Python3-Version in control file, using supported versions
py3versions: no X-Python3-Version in control file, using supported versions
dpkg: error: --compare-versions takes three arguments: <version> <relation> <version>
Type dpkg --help for help about installing and deinstalling packages [*];
Use 'apt' or 'aptitude' for user-friendly package management;
Type dpkg -Dhelp for a list of dpkg debug flag values;
Type dpkg --force-help for a list of forcing options;
Type dpkg-deb --help for help about manipulating *.deb files;
Options marked [*] produce a lot of output - pipe it through 'less' or 'more' !
dpkg: error: --compare-versions takes three arguments: <version> <relation> <version>
Type dpkg --help for help about installing and deinstalling packages [*];
Use 'apt' or 'aptitude' for user-friendly package management;
Type dpkg -Dhelp for a list of dpkg debug flag values;
Type dpkg --force-help for a list of forcing options;
Type dpkg-deb --help for help about manipulating *.deb files;
Options marked [*] produce a lot of output - pipe it through 'less' or 'more' !
dh_autoreconf debian/rules -- clean_generated
dpkg: error: --compare-versions takes three arguments: <version> <relation> <version>
Type dpkg --help for help about installing and deinstalling packages [*];
Use 'apt' or 'aptitude' for user-friendly package management;
Type dpkg -Dhelp for a list of dpkg debug flag values;
Type dpkg --force-help for a list of forcing options;
Type dpkg-deb --help for help about manipulating *.deb files;
Options marked [*] produce a lot of output - pipe it through 'less' or 'more' !
make[2]: Entering directory '/<<PKGBUILDDIR>>'
Traceback (most recent call last):
File "<string>", line 1, in <module>
ImportError: No module named sphinx
py3versions: no X-Python3-Version in control file, using supported versions
py3versions: no X-Python3-Version in control file, using supported versions
dpkg: error: --compare-versions takes three arguments: <version> <relation> <version>
Type dpkg --help for help about installing and deinstalling packages [*];
Use 'apt' or 'aptitude' for user-friendly package management;
Type dpkg -Dhelp for a list of dpkg debug flag values;
Type dpkg --force-help for a list of forcing options;
Type dpkg-deb --help for help about manipulating *.deb files;
Options marked [*] produce a lot of output - pipe it through 'less' or 'more' !
dpkg: error: --compare-versions takes three arguments: <version> <relation> <version>
Type dpkg --help for help about installing and deinstalling packages [*];
Use 'apt' or 'aptitude' for user-friendly package management;
Type dpkg -Dhelp for a list of dpkg debug flag values;
Type dpkg --force-help for a list of forcing options;
Type dpkg-deb --help for help about manipulating *.deb files;
Options marked [*] produce a lot of output - pipe it through 'less' or 'more' !
find sklearn/ -regex '.*\.c\(\|pp\)' | xargs grep -l -e 'Generated by Cython' | xargs -r rm -f
dpkg: error: --compare-versions takes three arguments: <version> <relation> <version>
Type dpkg --help for help about installing and deinstalling packages [*];
Use 'apt' or 'aptitude' for user-friendly package management;
Type dpkg -Dhelp for a list of dpkg debug flag values;
Type dpkg --force-help for a list of forcing options;
Type dpkg-deb --help for help about manipulating *.deb files;
Options marked [*] produce a lot of output - pipe it through 'less' or 'more' !
make[2]: Leaving directory '/<<PKGBUILDDIR>>'
make[1]: Leaving directory '/<<PKGBUILDDIR>>'
debian/rules override_dh_auto_configure
make[1]: Entering directory '/<<PKGBUILDDIR>>'
Traceback (most recent call last):
File "<string>", line 1, in <module>
ImportError: No module named sphinx
py3versions: no X-Python3-Version in control file, using supported versions
py3versions: no X-Python3-Version in control file, using supported versions
dpkg: error: --compare-versions takes three arguments: <version> <relation> <version>
Type dpkg --help for help about installing and deinstalling packages [*];
Use 'apt' or 'aptitude' for user-friendly package management;
Type dpkg -Dhelp for a list of dpkg debug flag values;
Type dpkg --force-help for a list of forcing options;
Type dpkg-deb --help for help about manipulating *.deb files;
Options marked [*] produce a lot of output - pipe it through 'less' or 'more' !
dpkg: error: --compare-versions takes three arguments: <version> <relation> <version>
Type dpkg --help for help about installing and deinstalling packages [*];
Use 'apt' or 'aptitude' for user-friendly package management;
Type dpkg -Dhelp for a list of dpkg debug flag values;
Type dpkg --force-help for a list of forcing options;
Type dpkg-deb --help for help about manipulating *.deb files;
Options marked [*] produce a lot of output - pipe it through 'less' or 'more' !
echo "2" | grep -q '^3' && PY=3 || PY= ; \
CYTHONVER=$(dpkg -l cython$PY 2>/dev/null | awk '/^ii/{print $3;}' || echo 0); \
dpkg --compare-versions "$CYTHONVER" lt "0.24" && { \
echo "I: Using pre-Cython-ed files for Python 2"; \
touch PKG-INFO; \
cd debian/cythonized-files$PY/ ; \
find . -regex '.*\.c\(\|pp\)' | while read f; do cp $f ../../$f; done; } || :
dpkg: error: --compare-versions takes three arguments: <version> <relation> <version>
Type dpkg --help for help about installing and deinstalling packages [*];
Use 'apt' or 'aptitude' for user-friendly package management;
Type dpkg -Dhelp for a list of dpkg debug flag values;
Type dpkg --force-help for a list of forcing options;
Type dpkg-deb --help for help about manipulating *.deb files;
Options marked [*] produce a lot of output - pipe it through 'less' or 'more' !
echo "3" | grep -q '^3' && PY=3 || PY= ; \
CYTHONVER=$(dpkg -l cython$PY 2>/dev/null | awk '/^ii/{print $3;}' || echo 0); \
dpkg --compare-versions "$CYTHONVER" lt "0.24" && { \
echo "I: Using pre-Cython-ed files for Python 3"; \
touch PKG-INFO; \
cd debian/cythonized-files$PY/ ; \
find . -regex '.*\.c\(\|pp\)' | while read f; do cp $f ../../$f; done; } || :
dpkg: error: --compare-versions takes three arguments: <version> <relation> <version>
Type dpkg --help for help about installing and deinstalling packages [*];
Use 'apt' or 'aptitude' for user-friendly package management;
Type dpkg -Dhelp for a list of dpkg debug flag values;
Type dpkg --force-help for a list of forcing options;
Type dpkg-deb --help for help about manipulating *.deb files;
Options marked [*] produce a lot of output - pipe it through 'less' or 'more' !
dh_auto_configure
dpkg: error: --compare-versions takes three arguments: <version> <relation> <version>
Type dpkg --help for help about installing and deinstalling packages [*];
Use 'apt' or 'aptitude' for user-friendly package management;
Type dpkg -Dhelp for a list of dpkg debug flag values;
Type dpkg --force-help for a list of forcing options;
Type dpkg-deb --help for help about manipulating *.deb files;
Options marked [*] produce a lot of output - pipe it through 'less' or 'more' !
dh_auto_configure: Please use the third-party "pybuild" build system instead of python-distutils
dh_auto_configure: This feature will be removed in compat 12.
make[1]: Leaving directory '/<<PKGBUILDDIR>>'
dh_auto_build -a -O--buildsystem=python_distutils
dh_auto_build: Please use the third-party "pybuild" build system instead of python-distutils
dh_auto_build: This feature will be removed in compat 12.
python setup.py build --force
Partial import of sklearn during the build process.
blas_opt_info:
blas_mkl_info:
customize UnixCCompiler
libraries mkl_rt not found in ['/usr/local/lib', '/usr/lib', '/usr/lib/arm-linux-gnueabihf']
NOT AVAILABLE
blis_info:
customize UnixCCompiler
libraries blis not found in ['/usr/local/lib', '/usr/lib', '/usr/lib/arm-linux-gnueabihf']
NOT AVAILABLE
openblas_info:
customize UnixCCompiler
customize UnixCCompiler
libraries openblas not found in ['/usr/local/lib', '/usr/lib', '/usr/lib/arm-linux-gnueabihf']
NOT AVAILABLE
atlas_3_10_blas_threads_info:
Setting PTATLAS=ATLAS
customize UnixCCompiler
libraries tatlas not found in ['/usr/local/lib', '/usr/lib', '/usr/lib/arm-linux-gnueabihf/atlas', '/usr/lib/arm-linux-gnueabihf']
NOT AVAILABLE
atlas_3_10_blas_info:
customize UnixCCompiler
libraries satlas not found in ['/usr/local/lib', '/usr/lib', '/usr/lib/arm-linux-gnueabihf/atlas', '/usr/lib/arm-linux-gnueabihf']
NOT AVAILABLE
atlas_blas_threads_info:
Setting PTATLAS=ATLAS
customize UnixCCompiler
libraries ptf77blas,ptcblas,atlas not found in ['/usr/local/lib', '/usr/lib', '/usr/lib/arm-linux-gnueabihf/atlas', '/usr/lib/arm-linux-gnueabihf']
NOT AVAILABLE
atlas_blas_info:
customize UnixCCompiler
libraries f77blas,cblas,atlas not found in ['/usr/local/lib', '/usr/lib', '/usr/lib/arm-linux-gnueabihf/atlas', '/usr/lib/arm-linux-gnueabihf']
NOT AVAILABLE
/usr/lib/python2.7/dist-packages/numpy/distutils/system_info.py:624: UserWarning:
Atlas (http://math-atlas.sourceforge.net/) libraries not found.
Directories to search for the libraries can be specified in the
numpy/distutils/site.cfg file (section [atlas]) or by setting
the ATLAS environment variable.
self.calc_info()
blas_info:
customize UnixCCompiler
libraries blas not found in ['/usr/local/lib', '/usr/lib', '/usr/lib/arm-linux-gnueabihf']
NOT AVAILABLE
/usr/lib/python2.7/dist-packages/numpy/distutils/system_info.py:624: UserWarning:
Blas (http://www.netlib.org/blas/) libraries not found.
Directories to search for the libraries can be specified in the
numpy/distutils/site.cfg file (section [blas]) or by setting
the BLAS environment variable.
self.calc_info()
blas_src_info:
NOT AVAILABLE
/usr/lib/python2.7/dist-packages/numpy/distutils/system_info.py:624: UserWarning:
Blas (http://www.netlib.org/blas/) sources not found.
Directories to search for the sources can be specified in the
numpy/distutils/site.cfg file (section [blas_src]) or by setting
the BLAS_SRC environment variable.
self.calc_info()
NOT AVAILABLE
sklearn/setup.py:71: UserWarning:
Blas (http://www.netlib.org/blas/) libraries not found.
Directories to search for the libraries can be specified in the
numpy/distutils/site.cfg file (section [blas]) or by setting
the BLAS environment variable.
warnings.warn(BlasNotFoundError.__doc__)
sklearn/manifold/_barnes_hut_tsne.pyx: cannot find cimported module 'sklearn.neighbors'
Compiling sklearn/__check_build/_check_build.pyx because it changed.
Compiling sklearn/cluster/_dbscan_inner.pyx because it changed.
Compiling sklearn/cluster/_hierarchical.pyx because it changed.
Compiling sklearn/cluster/_k_means_elkan.pyx because it changed.
Compiling sklearn/cluster/_k_means.pyx because it changed.
Compiling sklearn/datasets/_svmlight_format.pyx because it changed.
Compiling sklearn/decomposition/_online_lda.pyx because it changed.
Compiling sklearn/decomposition/cdnmf_fast.pyx because it changed.
Compiling sklearn/ensemble/_gradient_boosting.pyx because it changed.
Compiling sklearn/feature_extraction/_hashing.pyx because it changed.
Compiling sklearn/manifold/_utils.pyx because it changed.
Compiling sklearn/manifold/_barnes_hut_tsne.pyx because it changed.
Compiling sklearn/metrics/cluster/expected_mutual_info_fast.pyx because it changed.
Compiling sklearn/metrics/pairwise_fast.pyx because it changed.
Compiling sklearn/neighbors/ball_tree.pyx because it changed.
Compiling sklearn/neighbors/kd_tree.pyx because it changed.
Compiling sklearn/neighbors/dist_metrics.pyx because it changed.
Compiling sklearn/neighbors/typedefs.pyx because it changed.
Compiling sklearn/neighbors/quad_tree.pyx because it changed.
Compiling sklearn/tree/_tree.pyx because it changed.
Compiling sklearn/tree/_splitter.pyx because it changed.
Compiling sklearn/tree/_criterion.pyx because it changed.
Compiling sklearn/tree/_utils.pyx because it changed.
Compiling sklearn/svm/libsvm.pyx because it changed.
Compiling sklearn/svm/liblinear.pyx because it changed.
Compiling sklearn/svm/libsvm_sparse.pyx because it changed.
Compiling sklearn/_isotonic.pyx because it changed.
Compiling sklearn/linear_model/cd_fast.pyx because it changed.
Compiling sklearn/linear_model/sgd_fast.pyx because it changed.
Compiling sklearn/linear_model/sag_fast.pyx because it changed.
Compiling sklearn/utils/sparsefuncs_fast.pyx because it changed.
Compiling sklearn/utils/arrayfuncs.pyx because it changed.
Compiling sklearn/utils/murmurhash.pyx because it changed.
Compiling sklearn/utils/lgamma.pyx because it changed.
Compiling sklearn/utils/graph_shortest_path.pyx because it changed.
Compiling sklearn/utils/fast_dict.pyx because it changed.
Compiling sklearn/utils/seq_dataset.pyx because it changed.
Compiling sklearn/utils/weight_vector.pyx because it changed.
Compiling sklearn/utils/_random.pyx because it changed.
Compiling sklearn/utils/_logistic_sigmoid.pyx because it changed.
[ 1/40] Cythonizing sklearn/__check_build/_check_build.pyx
[ 2/40] Cythonizing sklearn/_isotonic.pyx
[ 3/40] Cythonizing sklearn/cluster/_dbscan_inner.pyx
[ 4/40] Cythonizing sklearn/cluster/_hierarchical.pyx
[ 5/40] Cythonizing sklearn/cluster/_k_means.pyx
[ 6/40] Cythonizing sklearn/cluster/_k_means_elkan.pyx
[ 7/40] Cythonizing sklearn/datasets/_svmlight_format.pyx
[ 8/40] Cythonizing sklearn/decomposition/_online_lda.pyx
[ 9/40] Cythonizing sklearn/decomposition/cdnmf_fast.pyx
[10/40] Cythonizing sklearn/ensemble/_gradient_boosting.pyx
[11/40] Cythonizing sklearn/feature_extraction/_hashing.pyx
[12/40] Cythonizing sklearn/linear_model/cd_fast.pyx
[13/40] Cythonizing sklearn/linear_model/sag_fast.pyx
[14/40] Cythonizing sklearn/linear_model/sgd_fast.pyx
[15/40] Cythonizing sklearn/manifold/_barnes_hut_tsne.pyx
[16/40] Cythonizing sklearn/manifold/_utils.pyx
[17/40] Cythonizing sklearn/metrics/cluster/expected_mutual_info_fast.pyx
[18/40] Cythonizing sklearn/metrics/pairwise_fast.pyx
[19/40] Cythonizing sklearn/neighbors/ball_tree.pyx
[20/40] Cythonizing sklearn/neighbors/dist_metrics.pyx
[21/40] Cythonizing sklearn/neighbors/kd_tree.pyx
[22/40] Cythonizing sklearn/neighbors/quad_tree.pyx
[23/40] Cythonizing sklearn/neighbors/typedefs.pyx
[24/40] Cythonizing sklearn/svm/liblinear.pyx
[25/40] Cythonizing sklearn/svm/libsvm.pyx
[26/40] Cythonizing sklearn/svm/libsvm_sparse.pyx
[27/40] Cythonizing sklearn/tree/_criterion.pyx
[28/40] Cythonizing sklearn/tree/_splitter.pyx
[29/40] Cythonizing sklearn/tree/_tree.pyx
[30/40] Cythonizing sklearn/tree/_utils.pyx
[31/40] Cythonizing sklearn/utils/_logistic_sigmoid.pyx
[32/40] Cythonizing sklearn/utils/_random.pyx
[33/40] Cythonizing sklearn/utils/arrayfuncs.pyx
[34/40] Cythonizing sklearn/utils/fast_dict.pyx
[35/40] Cythonizing sklearn/utils/graph_shortest_path.pyx
[36/40] Cythonizing sklearn/utils/lgamma.pyx
[37/40] Cythonizing sklearn/utils/murmurhash.pyx
[38/40] Cythonizing sklearn/utils/seq_dataset.pyx
[39/40] Cythonizing sklearn/utils/sparsefuncs_fast.pyx
[40/40] Cythonizing sklearn/utils/weight_vector.pyx
running build
running config_cc
unifing config_cc, config, build_clib, build_ext, build commands --compiler options
running config_fc
unifing config_fc, config, build_clib, build_ext, build commands --fcompiler options
running build_src
build_src
building library "libsvm-skl" sources
building library "cblas" sources
building extension "sklearn.__check_build._check_build" sources
building extension "sklearn.cluster._dbscan_inner" sources
building extension "sklearn.cluster._hierarchical" sources
building extension "sklearn.cluster._k_means_elkan" sources
building extension "sklearn.cluster._k_means" sources
building extension "sklearn.datasets._svmlight_format" sources
building extension "sklearn.decomposition._online_lda" sources
building extension "sklearn.decomposition.cdnmf_fast" sources
building extension "sklearn.ensemble._gradient_boosting" sources
building extension "sklearn.feature_extraction._hashing" sources
building extension "sklearn.manifold._utils" sources
building extension "sklearn.manifold._barnes_hut_tsne" sources
building extension "sklearn.metrics.cluster.expected_mutual_info_fast" sources
building extension "sklearn.metrics.pairwise_fast" sources
building extension "sklearn.neighbors.ball_tree" sources
building extension "sklearn.neighbors.kd_tree" sources
building extension "sklearn.neighbors.dist_metrics" sources
building extension "sklearn.neighbors.typedefs" sources
building extension "sklearn.neighbors.quad_tree" sources
building extension "sklearn.tree._tree" sources
building extension "sklearn.tree._splitter" sources
building extension "sklearn.tree._criterion" sources
building extension "sklearn.tree._utils" sources
building extension "sklearn.svm.libsvm" sources
building extension "sklearn.svm.liblinear" sources
building extension "sklearn.svm.libsvm_sparse" sources
building extension "sklearn._isotonic" sources
building extension "sklearn.linear_model.cd_fast" sources
building extension "sklearn.linear_model.sgd_fast" sources
building extension "sklearn.linear_model.sag_fast" sources
building extension "sklearn.utils.sparsefuncs_fast" sources
building extension "sklearn.utils.arrayfuncs" sources
building extension "sklearn.utils.murmurhash" sources
building extension "sklearn.utils.lgamma" sources
building extension "sklearn.utils.graph_shortest_path" sources
building extension "sklearn.utils.fast_dict" sources
building extension "sklearn.utils.seq_dataset" sources
building extension "sklearn.utils.weight_vector" sources
building extension "sklearn.utils._random" sources
building extension "sklearn.utils._logistic_sigmoid" sources
building data_files sources
build_src: building npy-pkg config files
running build_py
creating build
creating build/lib.linux-armv8l-2.7
creating build/lib.linux-armv8l-2.7/sklearn
copying sklearn/multiclass.py -> build/lib.linux-armv8l-2.7/sklearn
copying sklearn/base.py -> build/lib.linux-armv8l-2.7/sklearn
copying sklearn/cross_validation.py -> build/lib.linux-armv8l-2.7/sklearn
copying sklearn/naive_bayes.py -> build/lib.linux-armv8l-2.7/sklearn
copying sklearn/setup.py -> build/lib.linux-armv8l-2.7/sklearn
copying sklearn/random_projection.py -> build/lib.linux-armv8l-2.7/sklearn
copying sklearn/multioutput.py -> build/lib.linux-armv8l-2.7/sklearn
copying sklearn/kernel_ridge.py -> build/lib.linux-armv8l-2.7/sklearn
copying sklearn/learning_curve.py -> build/lib.linux-armv8l-2.7/sklearn
copying sklearn/isotonic.py -> build/lib.linux-armv8l-2.7/sklearn
copying sklearn/discriminant_analysis.py -> build/lib.linux-armv8l-2.7/sklearn
copying sklearn/__init__.py -> build/lib.linux-armv8l-2.7/sklearn
copying sklearn/pipeline.py -> build/lib.linux-armv8l-2.7/sklearn
copying sklearn/dummy.py -> build/lib.linux-armv8l-2.7/sklearn
copying sklearn/kernel_approximation.py -> build/lib.linux-armv8l-2.7/sklearn
copying sklearn/exceptions.py -> build/lib.linux-armv8l-2.7/sklearn
copying sklearn/grid_search.py -> build/lib.linux-armv8l-2.7/sklearn
copying sklearn/calibration.py -> build/lib.linux-armv8l-2.7/sklearn
creating build/lib.linux-armv8l-2.7/sklearn/__check_build
copying sklearn/__check_build/setup.py -> build/lib.linux-armv8l-2.7/sklearn/__check_build
copying sklearn/__check_build/__init__.py -> build/lib.linux-armv8l-2.7/sklearn/__check_build
creating build/lib.linux-armv8l-2.7/sklearn/_build_utils
copying sklearn/_build_utils/__init__.py -> build/lib.linux-armv8l-2.7/sklearn/_build_utils
creating build/lib.linux-armv8l-2.7/sklearn/covariance
copying sklearn/covariance/outlier_detection.py -> build/lib.linux-armv8l-2.7/sklearn/covariance
copying sklearn/covariance/robust_covariance.py -> build/lib.linux-armv8l-2.7/sklearn/covariance
copying sklearn/covariance/shrunk_covariance_.py -> build/lib.linux-armv8l-2.7/sklearn/covariance
copying sklearn/covariance/empirical_covariance_.py -> build/lib.linux-armv8l-2.7/sklearn/covariance
copying sklearn/covariance/graph_lasso_.py -> build/lib.linux-armv8l-2.7/sklearn/covariance
copying sklearn/covariance/__init__.py -> build/lib.linux-armv8l-2.7/sklearn/covariance
creating build/lib.linux-armv8l-2.7/sklearn/covariance/tests
copying sklearn/covariance/tests/test_graph_lasso.py -> build/lib.linux-armv8l-2.7/sklearn/covariance/tests
copying sklearn/covariance/tests/test_covariance.py -> build/lib.linux-armv8l-2.7/sklearn/covariance/tests
copying sklearn/covariance/tests/__init__.py -> build/lib.linux-armv8l-2.7/sklearn/covariance/tests
copying sklearn/covariance/tests/test_robust_covariance.py -> build/lib.linux-armv8l-2.7/sklearn/covariance/tests
creating build/lib.linux-armv8l-2.7/sklearn/cross_decomposition
copying sklearn/cross_decomposition/pls_.py -> build/lib.linux-armv8l-2.7/sklearn/cross_decomposition
copying sklearn/cross_decomposition/__init__.py -> build/lib.linux-armv8l-2.7/sklearn/cross_decomposition
copying sklearn/cross_decomposition/cca_.py -> build/lib.linux-armv8l-2.7/sklearn/cross_decomposition
creating build/lib.linux-armv8l-2.7/sklearn/cross_decomposition/tests
copying sklearn/cross_decomposition/tests/__init__.py -> build/lib.linux-armv8l-2.7/sklearn/cross_decomposition/tests
copying sklearn/cross_decomposition/tests/test_pls.py -> build/lib.linux-armv8l-2.7/sklearn/cross_decomposition/tests
creating build/lib.linux-armv8l-2.7/sklearn/feature_selection
copying sklearn/feature_selection/rfe.py -> build/lib.linux-armv8l-2.7/sklearn/feature_selection
copying sklearn/feature_selection/base.py -> build/lib.linux-armv8l-2.7/sklearn/feature_selection
copying sklearn/feature_selection/univariate_selection.py -> build/lib.linux-armv8l-2.7/sklearn/feature_selection
copying sklearn/feature_selection/__init__.py -> build/lib.linux-armv8l-2.7/sklearn/feature_selection
copying sklearn/feature_selection/from_model.py -> build/lib.linux-armv8l-2.7/sklearn/feature_selection
copying sklearn/feature_selection/variance_threshold.py -> build/lib.linux-armv8l-2.7/sklearn/feature_selection
copying sklearn/feature_selection/mutual_info_.py -> build/lib.linux-armv8l-2.7/sklearn/feature_selection
creating build/lib.linux-armv8l-2.7/sklearn/feature_selection/tests
copying sklearn/feature_selection/tests/test_variance_threshold.py -> build/lib.linux-armv8l-2.7/sklearn/feature_selection/tests
copying sklearn/feature_selection/tests/test_feature_select.py -> build/lib.linux-armv8l-2.7/sklearn/feature_selection/tests
copying sklearn/feature_selection/tests/test_from_model.py -> build/lib.linux-armv8l-2.7/sklearn/feature_selection/tests
copying sklearn/feature_selection/tests/test_mutual_info.py -> build/lib.linux-armv8l-2.7/sklearn/feature_selection/tests
copying sklearn/feature_selection/tests/test_chi2.py -> build/lib.linux-armv8l-2.7/sklearn/feature_selection/tests
copying sklearn/feature_selection/tests/__init__.py -> build/lib.linux-armv8l-2.7/sklearn/feature_selection/tests
copying sklearn/feature_selection/tests/test_base.py -> build/lib.linux-armv8l-2.7/sklearn/feature_selection/tests
copying sklearn/feature_selection/tests/test_rfe.py -> build/lib.linux-armv8l-2.7/sklearn/feature_selection/tests
creating build/lib.linux-armv8l-2.7/sklearn/gaussian_process
copying sklearn/gaussian_process/regression_models.py -> build/lib.linux-armv8l-2.7/sklearn/gaussian_process
copying sklearn/gaussian_process/gaussian_process.py -> build/lib.linux-armv8l-2.7/sklearn/gaussian_process
copying sklearn/gaussian_process/gpr.py -> build/lib.linux-armv8l-2.7/sklearn/gaussian_process
copying sklearn/gaussian_process/correlation_models.py -> build/lib.linux-armv8l-2.7/sklearn/gaussian_process
copying sklearn/gaussian_process/__init__.py -> build/lib.linux-armv8l-2.7/sklearn/gaussian_process
copying sklearn/gaussian_process/kernels.py -> build/lib.linux-armv8l-2.7/sklearn/gaussian_process
copying sklearn/gaussian_process/gpc.py -> build/lib.linux-armv8l-2.7/sklearn/gaussian_process
creating build/lib.linux-armv8l-2.7/sklearn/gaussian_process/tests
copying sklearn/gaussian_process/tests/test_gaussian_process.py -> build/lib.linux-armv8l-2.7/sklearn/gaussian_process/tests
copying sklearn/gaussian_process/tests/test_kernels.py -> build/lib.linux-armv8l-2.7/sklearn/gaussian_process/tests
copying sklearn/gaussian_process/tests/test_gpr.py -> build/lib.linux-armv8l-2.7/sklearn/gaussian_process/tests
copying sklearn/gaussian_process/tests/__init__.py -> build/lib.linux-armv8l-2.7/sklearn/gaussian_process/tests
copying sklearn/gaussian_process/tests/test_gpc.py -> build/lib.linux-armv8l-2.7/sklearn/gaussian_process/tests
creating build/lib.linux-armv8l-2.7/sklearn/mixture
copying sklearn/mixture/dpgmm.py -> build/lib.linux-armv8l-2.7/sklearn/mixture
copying sklearn/mixture/base.py -> build/lib.linux-armv8l-2.7/sklearn/mixture
copying sklearn/mixture/gaussian_mixture.py -> build/lib.linux-armv8l-2.7/sklearn/mixture
copying sklearn/mixture/__init__.py -> build/lib.linux-armv8l-2.7/sklearn/mixture
copying sklearn/mixture/gmm.py -> build/lib.linux-armv8l-2.7/sklearn/mixture
copying sklearn/mixture/bayesian_mixture.py -> build/lib.linux-armv8l-2.7/sklearn/mixture
creating build/lib.linux-armv8l-2.7/sklearn/mixture/tests
copying sklearn/mixture/tests/test_bayesian_mixture.py -> build/lib.linux-armv8l-2.7/sklearn/mixture/tests
copying sklearn/mixture/tests/test_dpgmm.py -> build/lib.linux-armv8l-2.7/sklearn/mixture/tests
copying sklearn/mixture/tests/test_gaussian_mixture.py -> build/lib.linux-armv8l-2.7/sklearn/mixture/tests
copying sklearn/mixture/tests/__init__.py -> build/lib.linux-armv8l-2.7/sklearn/mixture/tests
copying sklearn/mixture/tests/test_gmm.py -> build/lib.linux-armv8l-2.7/sklearn/mixture/tests
creating build/lib.linux-armv8l-2.7/sklearn/model_selection
copying sklearn/model_selection/_search.py -> build/lib.linux-armv8l-2.7/sklearn/model_selection
copying sklearn/model_selection/_validation.py -> build/lib.linux-armv8l-2.7/sklearn/model_selection
copying sklearn/model_selection/__init__.py -> build/lib.linux-armv8l-2.7/sklearn/model_selection
copying sklearn/model_selection/_split.py -> build/lib.linux-armv8l-2.7/sklearn/model_selection
creating build/lib.linux-armv8l-2.7/sklearn/model_selection/tests
copying sklearn/model_selection/tests/common.py -> build/lib.linux-armv8l-2.7/sklearn/model_selection/tests
copying sklearn/model_selection/tests/test_search.py -> build/lib.linux-armv8l-2.7/sklearn/model_selection/tests
copying sklearn/model_selection/tests/test_split.py -> build/lib.linux-armv8l-2.7/sklearn/model_selection/tests
copying sklearn/model_selection/tests/__init__.py -> build/lib.linux-armv8l-2.7/sklearn/model_selection/tests
copying sklearn/model_selection/tests/test_validation.py -> build/lib.linux-armv8l-2.7/sklearn/model_selection/tests
creating build/lib.linux-armv8l-2.7/sklearn/neural_network
copying sklearn/neural_network/_base.py -> build/lib.linux-armv8l-2.7/sklearn/neural_network
copying sklearn/neural_network/rbm.py -> build/lib.linux-armv8l-2.7/sklearn/neural_network
copying sklearn/neural_network/multilayer_perceptron.py -> build/lib.linux-armv8l-2.7/sklearn/neural_network
copying sklearn/neural_network/__init__.py -> build/lib.linux-armv8l-2.7/sklearn/neural_network
copying sklearn/neural_network/_stochastic_optimizers.py -> build/lib.linux-armv8l-2.7/sklearn/neural_network
creating build/lib.linux-armv8l-2.7/sklearn/neural_network/tests
copying sklearn/neural_network/tests/test_rbm.py -> build/lib.linux-armv8l-2.7/sklearn/neural_network/tests
copying sklearn/neural_network/tests/__init__.py -> build/lib.linux-armv8l-2.7/sklearn/neural_network/tests
copying sklearn/neural_network/tests/test_stochastic_optimizers.py -> build/lib.linux-armv8l-2.7/sklearn/neural_network/tests
copying sklearn/neural_network/tests/test_mlp.py -> build/lib.linux-armv8l-2.7/sklearn/neural_network/tests
creating build/lib.linux-armv8l-2.7/sklearn/preprocessing
copying sklearn/preprocessing/imputation.py -> build/lib.linux-armv8l-2.7/sklearn/preprocessing
copying sklearn/preprocessing/__init__.py -> build/lib.linux-armv8l-2.7/sklearn/preprocessing
copying sklearn/preprocessing/label.py -> build/lib.linux-armv8l-2.7/sklearn/preprocessing
copying sklearn/preprocessing/data.py -> build/lib.linux-armv8l-2.7/sklearn/preprocessing
copying sklearn/preprocessing/_function_transformer.py -> build/lib.linux-armv8l-2.7/sklearn/preprocessing
creating build/lib.linux-armv8l-2.7/sklearn/preprocessing/tests
copying sklearn/preprocessing/tests/test_imputation.py -> build/lib.linux-armv8l-2.7/sklearn/preprocessing/tests
copying sklearn/preprocessing/tests/test_data.py -> build/lib.linux-armv8l-2.7/sklearn/preprocessing/tests
copying sklearn/preprocessing/tests/test_function_transformer.py -> build/lib.linux-armv8l-2.7/sklearn/preprocessing/tests
copying sklearn/preprocessing/tests/__init__.py -> build/lib.linux-armv8l-2.7/sklearn/preprocessing/tests
copying sklearn/preprocessing/tests/test_label.py -> build/lib.linux-armv8l-2.7/sklearn/preprocessing/tests
creating build/lib.linux-armv8l-2.7/sklearn/semi_supervised
copying sklearn/semi_supervised/label_propagation.py -> build/lib.linux-armv8l-2.7/sklearn/semi_supervised
copying sklearn/semi_supervised/__init__.py -> build/lib.linux-armv8l-2.7/sklearn/semi_supervised
creating build/lib.linux-armv8l-2.7/sklearn/semi_supervised/tests
copying sklearn/semi_supervised/tests/test_label_propagation.py -> build/lib.linux-armv8l-2.7/sklearn/semi_supervised/tests
copying sklearn/semi_supervised/tests/__init__.py -> build/lib.linux-armv8l-2.7/sklearn/semi_supervised/tests
creating build/lib.linux-armv8l-2.7/sklearn/cluster
copying sklearn/cluster/k_means_.py -> build/lib.linux-armv8l-2.7/sklearn/cluster
copying sklearn/cluster/mean_shift_.py -> build/lib.linux-armv8l-2.7/sklearn/cluster
copying sklearn/cluster/spectral.py -> build/lib.linux-armv8l-2.7/sklearn/cluster
copying sklearn/cluster/dbscan_.py -> build/lib.linux-armv8l-2.7/sklearn/cluster
copying sklearn/cluster/birch.py -> build/lib.linux-armv8l-2.7/sklearn/cluster
copying sklearn/cluster/affinity_propagation_.py -> build/lib.linux-armv8l-2.7/sklearn/cluster
copying sklearn/cluster/setup.py -> build/lib.linux-armv8l-2.7/sklearn/cluster
copying sklearn/cluster/bicluster.py -> build/lib.linux-armv8l-2.7/sklearn/cluster
copying sklearn/cluster/hierarchical.py -> build/lib.linux-armv8l-2.7/sklearn/cluster
copying sklearn/cluster/__init__.py -> build/lib.linux-armv8l-2.7/sklearn/cluster
copying sklearn/cluster/_feature_agglomeration.py -> build/lib.linux-armv8l-2.7/sklearn/cluster
creating build/lib.linux-armv8l-2.7/sklearn/cluster/tests
copying sklearn/cluster/tests/common.py -> build/lib.linux-armv8l-2.7/sklearn/cluster/tests
copying sklearn/cluster/tests/test_spectral.py -> build/lib.linux-armv8l-2.7/sklearn/cluster/tests
copying sklearn/cluster/tests/test_dbscan.py -> build/lib.linux-armv8l-2.7/sklearn/cluster/tests
copying sklearn/cluster/tests/test_hierarchical.py -> build/lib.linux-armv8l-2.7/sklearn/cluster/tests
copying sklearn/cluster/tests/__init__.py -> build/lib.linux-armv8l-2.7/sklearn/cluster/tests
copying sklearn/cluster/tests/test_affinity_propagation.py -> build/lib.linux-armv8l-2.7/sklearn/cluster/tests
copying sklearn/cluster/tests/test_bicluster.py -> build/lib.linux-armv8l-2.7/sklearn/cluster/tests
copying sklearn/cluster/tests/test_k_means.py -> build/lib.linux-armv8l-2.7/sklearn/cluster/tests
copying sklearn/cluster/tests/test_birch.py -> build/lib.linux-armv8l-2.7/sklearn/cluster/tests
copying sklearn/cluster/tests/test_mean_shift.py -> build/lib.linux-armv8l-2.7/sklearn/cluster/tests
creating build/lib.linux-armv8l-2.7/sklearn/datasets
copying sklearn/datasets/california_housing.py -> build/lib.linux-armv8l-2.7/sklearn/datasets
copying sklearn/datasets/samples_generator.py -> build/lib.linux-armv8l-2.7/sklearn/datasets
copying sklearn/datasets/kddcup99.py -> build/lib.linux-armv8l-2.7/sklearn/datasets
copying sklearn/datasets/base.py -> build/lib.linux-armv8l-2.7/sklearn/datasets
copying sklearn/datasets/species_distributions.py -> build/lib.linux-armv8l-2.7/sklearn/datasets
copying sklearn/datasets/svmlight_format.py -> build/lib.linux-armv8l-2.7/sklearn/datasets
copying sklearn/datasets/rcv1.py -> build/lib.linux-armv8l-2.7/sklearn/datasets
copying sklearn/datasets/mlcomp.py -> build/lib.linux-armv8l-2.7/sklearn/datasets
copying sklearn/datasets/twenty_newsgroups.py -> build/lib.linux-armv8l-2.7/sklearn/datasets
copying sklearn/datasets/setup.py -> build/lib.linux-armv8l-2.7/sklearn/datasets
copying sklearn/datasets/covtype.py -> build/lib.linux-armv8l-2.7/sklearn/datasets
copying sklearn/datasets/mldata.py -> build/lib.linux-armv8l-2.7/sklearn/datasets
copying sklearn/datasets/__init__.py -> build/lib.linux-armv8l-2.7/sklearn/datasets
copying sklearn/datasets/lfw.py -> build/lib.linux-armv8l-2.7/sklearn/datasets
copying sklearn/datasets/olivetti_faces.py -> build/lib.linux-armv8l-2.7/sklearn/datasets
creating build/lib.linux-armv8l-2.7/sklearn/datasets/tests
copying sklearn/datasets/tests/test_20news.py -> build/lib.linux-armv8l-2.7/sklearn/datasets/tests
copying sklearn/datasets/tests/test_rcv1.py -> build/lib.linux-armv8l-2.7/sklearn/datasets/tests
copying sklearn/datasets/tests/__init__.py -> build/lib.linux-armv8l-2.7/sklearn/datasets/tests
copying sklearn/datasets/tests/test_base.py -> build/lib.linux-armv8l-2.7/sklearn/datasets/tests
copying sklearn/datasets/tests/test_svmlight_format.py -> build/lib.linux-armv8l-2.7/sklearn/datasets/tests
copying sklearn/datasets/tests/test_covtype.py -> build/lib.linux-armv8l-2.7/sklearn/datasets/tests
copying sklearn/datasets/tests/test_lfw.py -> build/lib.linux-armv8l-2.7/sklearn/datasets/tests
copying sklearn/datasets/tests/test_mldata.py -> build/lib.linux-armv8l-2.7/sklearn/datasets/tests
copying sklearn/datasets/tests/test_kddcup99.py -> build/lib.linux-armv8l-2.7/sklearn/datasets/tests
copying sklearn/datasets/tests/test_samples_generator.py -> build/lib.linux-armv8l-2.7/sklearn/datasets/tests
creating build/lib.linux-armv8l-2.7/sklearn/decomposition
copying sklearn/decomposition/base.py -> build/lib.linux-armv8l-2.7/sklearn/decomposition
copying sklearn/decomposition/pca.py -> build/lib.linux-armv8l-2.7/sklearn/decomposition
copying sklearn/decomposition/truncated_svd.py -> build/lib.linux-armv8l-2.7/sklearn/decomposition
copying sklearn/decomposition/fastica_.py -> build/lib.linux-armv8l-2.7/sklearn/decomposition
copying sklearn/decomposition/setup.py -> build/lib.linux-armv8l-2.7/sklearn/decomposition
copying sklearn/decomposition/online_lda.py -> build/lib.linux-armv8l-2.7/sklearn/decomposition
copying sklearn/decomposition/dict_learning.py -> build/lib.linux-armv8l-2.7/sklearn/decomposition
copying sklearn/decomposition/factor_analysis.py -> build/lib.linux-armv8l-2.7/sklearn/decomposition
copying sklearn/decomposition/kernel_pca.py -> build/lib.linux-armv8l-2.7/sklearn/decomposition
copying sklearn/decomposition/nmf.py -> build/lib.linux-armv8l-2.7/sklearn/decomposition
copying sklearn/decomposition/__init__.py -> build/lib.linux-armv8l-2.7/sklearn/decomposition
copying sklearn/decomposition/incremental_pca.py -> build/lib.linux-armv8l-2.7/sklearn/decomposition
copying sklearn/decomposition/sparse_pca.py -> build/lib.linux-armv8l-2.7/sklearn/decomposition
creating build/lib.linux-armv8l-2.7/sklearn/decomposition/tests
copying sklearn/decomposition/tests/test_pca.py -> build/lib.linux-armv8l-2.7/sklearn/decomposition/tests
copying sklearn/decomposition/tests/test_kernel_pca.py -> build/lib.linux-armv8l-2.7/sklearn/decomposition/tests
copying sklearn/decomposition/tests/test_dict_learning.py -> build/lib.linux-armv8l-2.7/sklearn/decomposition/tests
copying sklearn/decomposition/tests/test_incremental_pca.py -> build/lib.linux-armv8l-2.7/sklearn/decomposition/tests
copying sklearn/decomposition/tests/test_online_lda.py -> build/lib.linux-armv8l-2.7/sklearn/decomposition/tests
copying sklearn/decomposition/tests/test_factor_analysis.py -> build/lib.linux-armv8l-2.7/sklearn/decomposition/tests
copying sklearn/decomposition/tests/test_sparse_pca.py -> build/lib.linux-armv8l-2.7/sklearn/decomposition/tests
copying sklearn/decomposition/tests/__init__.py -> build/lib.linux-armv8l-2.7/sklearn/decomposition/tests
copying sklearn/decomposition/tests/test_truncated_svd.py -> build/lib.linux-armv8l-2.7/sklearn/decomposition/tests
copying sklearn/decomposition/tests/test_fastica.py -> build/lib.linux-armv8l-2.7/sklearn/decomposition/tests
copying sklearn/decomposition/tests/test_nmf.py -> build/lib.linux-armv8l-2.7/sklearn/decomposition/tests
creating build/lib.linux-armv8l-2.7/sklearn/ensemble
copying sklearn/ensemble/voting_classifier.py -> build/lib.linux-armv8l-2.7/sklearn/ensemble
copying sklearn/ensemble/base.py -> build/lib.linux-armv8l-2.7/sklearn/ensemble
copying sklearn/ensemble/weight_boosting.py -> build/lib.linux-armv8l-2.7/sklearn/ensemble
copying sklearn/ensemble/partial_dependence.py -> build/lib.linux-armv8l-2.7/sklearn/ensemble
copying sklearn/ensemble/bagging.py -> build/lib.linux-armv8l-2.7/sklearn/ensemble
copying sklearn/ensemble/gradient_boosting.py -> build/lib.linux-armv8l-2.7/sklearn/ensemble
copying sklearn/ensemble/setup.py -> build/lib.linux-armv8l-2.7/sklearn/ensemble
copying sklearn/ensemble/forest.py -> build/lib.linux-armv8l-2.7/sklearn/ensemble
copying sklearn/ensemble/__init__.py -> build/lib.linux-armv8l-2.7/sklearn/ensemble
copying sklearn/ensemble/iforest.py -> build/lib.linux-armv8l-2.7/sklearn/ensemble
creating build/lib.linux-armv8l-2.7/sklearn/ensemble/tests
copying sklearn/ensemble/tests/test_iforest.py -> build/lib.linux-armv8l-2.7/sklearn/ensemble/tests
copying sklearn/ensemble/tests/test_partial_dependence.py -> build/lib.linux-armv8l-2.7/sklearn/ensemble/tests
copying sklearn/ensemble/tests/test_forest.py -> build/lib.linux-armv8l-2.7/sklearn/ensemble/tests
copying sklearn/ensemble/tests/test_weight_boosting.py -> build/lib.linux-armv8l-2.7/sklearn/ensemble/tests
copying sklearn/ensemble/tests/test_gradient_boosting.py -> build/lib.linux-armv8l-2.7/sklearn/ensemble/tests
copying sklearn/ensemble/tests/__init__.py -> build/lib.linux-armv8l-2.7/sklearn/ensemble/tests
copying sklearn/ensemble/tests/test_base.py -> build/lib.linux-armv8l-2.7/sklearn/ensemble/tests
copying sklearn/ensemble/tests/test_gradient_boosting_loss_functions.py -> build/lib.linux-armv8l-2.7/sklearn/ensemble/tests
copying sklearn/ensemble/tests/test_voting_classifier.py -> build/lib.linux-armv8l-2.7/sklearn/ensemble/tests
copying sklearn/ensemble/tests/test_bagging.py -> build/lib.linux-armv8l-2.7/sklearn/ensemble/tests
creating build/lib.linux-armv8l-2.7/sklearn/externals
copying sklearn/externals/funcsigs.py -> build/lib.linux-armv8l-2.7/sklearn/externals
copying sklearn/externals/test_externals_setup.py -> build/lib.linux-armv8l-2.7/sklearn/externals
copying sklearn/externals/setup.py -> build/lib.linux-armv8l-2.7/sklearn/externals
copying sklearn/externals/__init__.py -> build/lib.linux-armv8l-2.7/sklearn/externals
copying sklearn/externals/six.py -> build/lib.linux-armv8l-2.7/sklearn/externals
creating build/lib.linux-armv8l-2.7/sklearn/externals/joblib
copying sklearn/externals/joblib/__init__.py -> build/lib.linux-armv8l-2.7/sklearn/externals/joblib
creating build/lib.linux-armv8l-2.7/sklearn/feature_extraction
copying sklearn/feature_extraction/text.py -> build/lib.linux-armv8l-2.7/sklearn/feature_extraction
copying sklearn/feature_extraction/setup.py -> build/lib.linux-armv8l-2.7/sklearn/feature_extraction
copying sklearn/feature_extraction/dict_vectorizer.py -> build/lib.linux-armv8l-2.7/sklearn/feature_extraction
copying sklearn/feature_extraction/hashing.py -> build/lib.linux-armv8l-2.7/sklearn/feature_extraction
copying sklearn/feature_extraction/__init__.py -> build/lib.linux-armv8l-2.7/sklearn/feature_extraction
copying sklearn/feature_extraction/image.py -> build/lib.linux-armv8l-2.7/sklearn/feature_extraction
copying sklearn/feature_extraction/stop_words.py -> build/lib.linux-armv8l-2.7/sklearn/feature_extraction
creating build/lib.linux-armv8l-2.7/sklearn/feature_extraction/tests
copying sklearn/feature_extraction/tests/test_feature_hasher.py -> build/lib.linux-armv8l-2.7/sklearn/feature_extraction/tests
copying sklearn/feature_extraction/tests/test_dict_vectorizer.py -> build/lib.linux-armv8l-2.7/sklearn/feature_extraction/tests
copying sklearn/feature_extraction/tests/__init__.py -> build/lib.linux-armv8l-2.7/sklearn/feature_extraction/tests
copying sklearn/feature_extraction/tests/test_text.py -> build/lib.linux-armv8l-2.7/sklearn/feature_extraction/tests
copying sklearn/feature_extraction/tests/test_image.py -> build/lib.linux-armv8l-2.7/sklearn/feature_extraction/tests
creating build/lib.linux-armv8l-2.7/sklearn/manifold
copying sklearn/manifold/spectral_embedding_.py -> build/lib.linux-armv8l-2.7/sklearn/manifold
copying sklearn/manifold/isomap.py -> build/lib.linux-armv8l-2.7/sklearn/manifold
copying sklearn/manifold/locally_linear.py -> build/lib.linux-armv8l-2.7/sklearn/manifold
copying sklearn/manifold/setup.py -> build/lib.linux-armv8l-2.7/sklearn/manifold
copying sklearn/manifold/__init__.py -> build/lib.linux-armv8l-2.7/sklearn/manifold
copying sklearn/manifold/mds.py -> build/lib.linux-armv8l-2.7/sklearn/manifold
copying sklearn/manifold/t_sne.py -> build/lib.linux-armv8l-2.7/sklearn/manifold
creating build/lib.linux-armv8l-2.7/sklearn/manifold/tests
copying sklearn/manifold/tests/test_spectral_embedding.py -> build/lib.linux-armv8l-2.7/sklearn/manifold/tests
copying sklearn/manifold/tests/test_mds.py -> build/lib.linux-armv8l-2.7/sklearn/manifold/tests
copying sklearn/manifold/tests/test_isomap.py -> build/lib.linux-armv8l-2.7/sklearn/manifold/tests
copying sklearn/manifold/tests/__init__.py -> build/lib.linux-armv8l-2.7/sklearn/manifold/tests
copying sklearn/manifold/tests/test_locally_linear.py -> build/lib.linux-armv8l-2.7/sklearn/manifold/tests
copying sklearn/manifold/tests/test_t_sne.py -> build/lib.linux-armv8l-2.7/sklearn/manifold/tests
creating build/lib.linux-armv8l-2.7/sklearn/metrics
copying sklearn/metrics/regression.py -> build/lib.linux-armv8l-2.7/sklearn/metrics
copying sklearn/metrics/base.py -> build/lib.linux-armv8l-2.7/sklearn/metrics
copying sklearn/metrics/pairwise.py -> build/lib.linux-armv8l-2.7/sklearn/metrics
copying sklearn/metrics/setup.py -> build/lib.linux-armv8l-2.7/sklearn/metrics
copying sklearn/metrics/ranking.py -> build/lib.linux-armv8l-2.7/sklearn/metrics
copying sklearn/metrics/scorer.py -> build/lib.linux-armv8l-2.7/sklearn/metrics
copying sklearn/metrics/__init__.py -> build/lib.linux-armv8l-2.7/sklearn/metrics
copying sklearn/metrics/classification.py -> build/lib.linux-armv8l-2.7/sklearn/metrics
creating build/lib.linux-armv8l-2.7/sklearn/metrics/cluster
copying sklearn/metrics/cluster/unsupervised.py -> build/lib.linux-armv8l-2.7/sklearn/metrics/cluster
copying sklearn/metrics/cluster/setup.py -> build/lib.linux-armv8l-2.7/sklearn/metrics/cluster
copying sklearn/metrics/cluster/bicluster.py -> build/lib.linux-armv8l-2.7/sklearn/metrics/cluster
copying sklearn/metrics/cluster/__init__.py -> build/lib.linux-armv8l-2.7/sklearn/metrics/cluster
copying sklearn/metrics/cluster/supervised.py -> build/lib.linux-armv8l-2.7/sklearn/metrics/cluster
creating build/lib.linux-armv8l-2.7/sklearn/metrics/cluster/tests
copying sklearn/metrics/cluster/tests/test_supervised.py -> build/lib.linux-armv8l-2.7/sklearn/metrics/cluster/tests
copying sklearn/metrics/cluster/tests/__init__.py -> build/lib.linux-armv8l-2.7/sklearn/metrics/cluster/tests
copying sklearn/metrics/cluster/tests/test_unsupervised.py -> build/lib.linux-armv8l-2.7/sklearn/metrics/cluster/tests
copying sklearn/metrics/cluster/tests/test_bicluster.py -> build/lib.linux-armv8l-2.7/sklearn/metrics/cluster/tests
creating build/lib.linux-armv8l-2.7/sklearn/metrics/tests
copying sklearn/metrics/tests/test_common.py -> build/lib.linux-armv8l-2.7/sklearn/metrics/tests
copying sklearn/metrics/tests/test_regression.py -> build/lib.linux-armv8l-2.7/sklearn/metrics/tests
copying sklearn/metrics/tests/test_score_objects.py -> build/lib.linux-armv8l-2.7/sklearn/metrics/tests
copying sklearn/metrics/tests/test_ranking.py -> build/lib.linux-armv8l-2.7/sklearn/metrics/tests
copying sklearn/metrics/tests/test_classification.py -> build/lib.linux-armv8l-2.7/sklearn/metrics/tests
copying sklearn/metrics/tests/__init__.py -> build/lib.linux-armv8l-2.7/sklearn/metrics/tests
copying sklearn/metrics/tests/test_pairwise.py -> build/lib.linux-armv8l-2.7/sklearn/metrics/tests
creating build/lib.linux-armv8l-2.7/sklearn/neighbors
copying sklearn/neighbors/unsupervised.py -> build/lib.linux-armv8l-2.7/sklearn/neighbors
copying sklearn/neighbors/regression.py -> build/lib.linux-armv8l-2.7/sklearn/neighbors
copying sklearn/neighbors/base.py -> build/lib.linux-armv8l-2.7/sklearn/neighbors
copying sklearn/neighbors/graph.py -> build/lib.linux-armv8l-2.7/sklearn/neighbors
copying sklearn/neighbors/kde.py -> build/lib.linux-armv8l-2.7/sklearn/neighbors
copying sklearn/neighbors/setup.py -> build/lib.linux-armv8l-2.7/sklearn/neighbors
copying sklearn/neighbors/nearest_centroid.py -> build/lib.linux-armv8l-2.7/sklearn/neighbors
copying sklearn/neighbors/lof.py -> build/lib.linux-armv8l-2.7/sklearn/neighbors
copying sklearn/neighbors/__init__.py -> build/lib.linux-armv8l-2.7/sklearn/neighbors
copying sklearn/neighbors/approximate.py -> build/lib.linux-armv8l-2.7/sklearn/neighbors
copying sklearn/neighbors/classification.py -> build/lib.linux-armv8l-2.7/sklearn/neighbors
creating build/lib.linux-armv8l-2.7/sklearn/neighbors/tests
copying sklearn/neighbors/tests/test_kd_tree.py -> build/lib.linux-armv8l-2.7/sklearn/neighbors/tests
copying sklearn/neighbors/tests/test_kde.py -> build/lib.linux-armv8l-2.7/sklearn/neighbors/tests
copying sklearn/neighbors/tests/test_dist_metrics.py -> build/lib.linux-armv8l-2.7/sklearn/neighbors/tests
copying sklearn/neighbors/tests/test_neighbors.py -> build/lib.linux-armv8l-2.7/sklearn/neighbors/tests
copying sklearn/neighbors/tests/test_nearest_centroid.py -> build/lib.linux-armv8l-2.7/sklearn/neighbors/tests
copying sklearn/neighbors/tests/__init__.py -> build/lib.linux-armv8l-2.7/sklearn/neighbors/tests
copying sklearn/neighbors/tests/test_lof.py -> build/lib.linux-armv8l-2.7/sklearn/neighbors/tests
copying sklearn/neighbors/tests/test_quad_tree.py -> build/lib.linux-armv8l-2.7/sklearn/neighbors/tests
copying sklearn/neighbors/tests/test_ball_tree.py -> build/lib.linux-armv8l-2.7/sklearn/neighbors/tests
copying sklearn/neighbors/tests/test_approximate.py -> build/lib.linux-armv8l-2.7/sklearn/neighbors/tests
creating build/lib.linux-armv8l-2.7/sklearn/tree
copying sklearn/tree/tree.py -> build/lib.linux-armv8l-2.7/sklearn/tree
copying sklearn/tree/setup.py -> build/lib.linux-armv8l-2.7/sklearn/tree
copying sklearn/tree/export.py -> build/lib.linux-armv8l-2.7/sklearn/tree
copying sklearn/tree/__init__.py -> build/lib.linux-armv8l-2.7/sklearn/tree
creating build/lib.linux-armv8l-2.7/sklearn/tree/tests
copying sklearn/tree/tests/test_tree.py -> build/lib.linux-armv8l-2.7/sklearn/tree/tests
copying sklearn/tree/tests/test_export.py -> build/lib.linux-armv8l-2.7/sklearn/tree/tests
copying sklearn/tree/tests/__init__.py -> build/lib.linux-armv8l-2.7/sklearn/tree/tests
creating build/lib.linux-armv8l-2.7/sklearn/svm
copying sklearn/svm/base.py -> build/lib.linux-armv8l-2.7/sklearn/svm
copying sklearn/svm/classes.py -> build/lib.linux-armv8l-2.7/sklearn/svm
copying sklearn/svm/setup.py -> build/lib.linux-armv8l-2.7/sklearn/svm
copying sklearn/svm/__init__.py -> build/lib.linux-armv8l-2.7/sklearn/svm
copying sklearn/svm/bounds.py -> build/lib.linux-armv8l-2.7/sklearn/svm
creating build/lib.linux-armv8l-2.7/sklearn/svm/tests
copying sklearn/svm/tests/test_svm.py -> build/lib.linux-armv8l-2.7/sklearn/svm/tests
copying sklearn/svm/tests/test_bounds.py -> build/lib.linux-armv8l-2.7/sklearn/svm/tests
copying sklearn/svm/tests/__init__.py -> build/lib.linux-armv8l-2.7/sklearn/svm/tests
copying sklearn/svm/tests/test_sparse.py -> build/lib.linux-armv8l-2.7/sklearn/svm/tests
creating build/lib.linux-armv8l-2.7/sklearn/linear_model
copying sklearn/linear_model/logistic.py -> build/lib.linux-armv8l-2.7/sklearn/linear_model
copying sklearn/linear_model/bayes.py -> build/lib.linux-armv8l-2.7/sklearn/linear_model
copying sklearn/linear_model/omp.py -> build/lib.linux-armv8l-2.7/sklearn/linear_model
copying sklearn/linear_model/sag.py -> build/lib.linux-armv8l-2.7/sklearn/linear_model
copying sklearn/linear_model/perceptron.py -> build/lib.linux-armv8l-2.7/sklearn/linear_model
copying sklearn/linear_model/base.py -> build/lib.linux-armv8l-2.7/sklearn/linear_model
copying sklearn/linear_model/randomized_l1.py -> build/lib.linux-armv8l-2.7/sklearn/linear_model
copying sklearn/linear_model/ridge.py -> build/lib.linux-armv8l-2.7/sklearn/linear_model
copying sklearn/linear_model/ransac.py -> build/lib.linux-armv8l-2.7/sklearn/linear_model
copying sklearn/linear_model/setup.py -> build/lib.linux-armv8l-2.7/sklearn/linear_model
copying sklearn/linear_model/passive_aggressive.py -> build/lib.linux-armv8l-2.7/sklearn/linear_model
copying sklearn/linear_model/coordinate_descent.py -> build/lib.linux-armv8l-2.7/sklearn/linear_model
copying sklearn/linear_model/stochastic_gradient.py -> build/lib.linux-armv8l-2.7/sklearn/linear_model
copying sklearn/linear_model/__init__.py -> build/lib.linux-armv8l-2.7/sklearn/linear_model
copying sklearn/linear_model/huber.py -> build/lib.linux-armv8l-2.7/sklearn/linear_model
copying sklearn/linear_model/theil_sen.py -> build/lib.linux-armv8l-2.7/sklearn/linear_model
copying sklearn/linear_model/least_angle.py -> build/lib.linux-armv8l-2.7/sklearn/linear_model
creating build/lib.linux-armv8l-2.7/sklearn/linear_model/tests
copying sklearn/linear_model/tests/test_randomized_l1.py -> build/lib.linux-armv8l-2.7/sklearn/linear_model/tests
copying sklearn/linear_model/tests/test_sparse_coordinate_descent.py -> build/lib.linux-armv8l-2.7/sklearn/linear_model/tests
copying sklearn/linear_model/tests/test_huber.py -> build/lib.linux-armv8l-2.7/sklearn/linear_model/tests
copying sklearn/linear_model/tests/test_passive_aggressive.py -> build/lib.linux-armv8l-2.7/sklearn/linear_model/tests
copying sklearn/linear_model/tests/test_ransac.py -> build/lib.linux-armv8l-2.7/sklearn/linear_model/tests
copying sklearn/linear_model/tests/test_bayes.py -> build/lib.linux-armv8l-2.7/sklearn/linear_model/tests
copying sklearn/linear_model/tests/test_theil_sen.py -> build/lib.linux-armv8l-2.7/sklearn/linear_model/tests
copying sklearn/linear_model/tests/test_logistic.py -> build/lib.linux-armv8l-2.7/sklearn/linear_model/tests
copying sklearn/linear_model/tests/test_perceptron.py -> build/lib.linux-armv8l-2.7/sklearn/linear_model/tests
copying sklearn/linear_model/tests/test_omp.py -> build/lib.linux-armv8l-2.7/sklearn/linear_model/tests
copying sklearn/linear_model/tests/__init__.py -> build/lib.linux-armv8l-2.7/sklearn/linear_model/tests
copying sklearn/linear_model/tests/test_base.py -> build/lib.linux-armv8l-2.7/sklearn/linear_model/tests
copying sklearn/linear_model/tests/test_sag.py -> build/lib.linux-armv8l-2.7/sklearn/linear_model/tests
copying sklearn/linear_model/tests/test_sgd.py -> build/lib.linux-armv8l-2.7/sklearn/linear_model/tests
copying sklearn/linear_model/tests/test_ridge.py -> build/lib.linux-armv8l-2.7/sklearn/linear_model/tests
copying sklearn/linear_model/tests/test_least_angle.py -> build/lib.linux-armv8l-2.7/sklearn/linear_model/tests
copying sklearn/linear_model/tests/test_coordinate_descent.py -> build/lib.linux-armv8l-2.7/sklearn/linear_model/tests
creating build/lib.linux-armv8l-2.7/sklearn/utils
copying sklearn/utils/random.py -> build/lib.linux-armv8l-2.7/sklearn/utils
copying sklearn/utils/multiclass.py -> build/lib.linux-armv8l-2.7/sklearn/utils
copying sklearn/utils/testing.py -> build/lib.linux-armv8l-2.7/sklearn/utils
copying sklearn/utils/class_weight.py -> build/lib.linux-armv8l-2.7/sklearn/utils
copying sklearn/utils/_scipy_sparse_lsqr_backport.py -> build/lib.linux-armv8l-2.7/sklearn/utils
copying sklearn/utils/estimator_checks.py -> build/lib.linux-armv8l-2.7/sklearn/utils
copying sklearn/utils/graph.py -> build/lib.linux-armv8l-2.7/sklearn/utils
copying sklearn/utils/deprecation.py -> build/lib.linux-armv8l-2.7/sklearn/utils
copying sklearn/utils/extmath.py -> build/lib.linux-armv8l-2.7/sklearn/utils
copying sklearn/utils/setup.py -> build/lib.linux-armv8l-2.7/sklearn/utils
copying sklearn/utils/validation.py -> build/lib.linux-armv8l-2.7/sklearn/utils
copying sklearn/utils/fixes.py -> build/lib.linux-armv8l-2.7/sklearn/utils
copying sklearn/utils/arpack.py -> build/lib.linux-armv8l-2.7/sklearn/utils
copying sklearn/utils/__init__.py -> build/lib.linux-armv8l-2.7/sklearn/utils
copying sklearn/utils/bench.py -> build/lib.linux-armv8l-2.7/sklearn/utils
copying sklearn/utils/linear_assignment_.py -> build/lib.linux-armv8l-2.7/sklearn/utils
copying sklearn/utils/stats.py -> build/lib.linux-armv8l-2.7/sklearn/utils
copying sklearn/utils/metaestimators.py -> build/lib.linux-armv8l-2.7/sklearn/utils
copying sklearn/utils/sparsefuncs.py -> build/lib.linux-armv8l-2.7/sklearn/utils
copying sklearn/utils/mocking.py -> build/lib.linux-armv8l-2.7/sklearn/utils
copying sklearn/utils/optimize.py -> build/lib.linux-armv8l-2.7/sklearn/utils
creating build/lib.linux-armv8l-2.7/sklearn/utils/sparsetools
copying sklearn/utils/sparsetools/setup.py -> build/lib.linux-armv8l-2.7/sklearn/utils/sparsetools
copying sklearn/utils/sparsetools/__init__.py -> build/lib.linux-armv8l-2.7/sklearn/utils/sparsetools
creating build/lib.linux-armv8l-2.7/sklearn/utils/sparsetools/tests
copying sklearn/utils/sparsetools/tests/__init__.py -> build/lib.linux-armv8l-2.7/sklearn/utils/sparsetools/tests
creating build/lib.linux-armv8l-2.7/sklearn/utils/tests
copying sklearn/utils/tests/test_testing.py -> build/lib.linux-armv8l-2.7/sklearn/utils/tests
copying sklearn/utils/tests/test_optimize.py -> build/lib.linux-armv8l-2.7/sklearn/utils/tests
copying sklearn/utils/tests/test_random.py -> build/lib.linux-armv8l-2.7/sklearn/utils/tests
copying sklearn/utils/tests/test_class_weight.py -> build/lib.linux-armv8l-2.7/sklearn/utils/tests
copying sklearn/utils/tests/test_estimator_checks.py -> build/lib.linux-armv8l-2.7/sklearn/utils/tests
copying sklearn/utils/tests/test_multiclass.py -> build/lib.linux-armv8l-2.7/sklearn/utils/tests
copying sklearn/utils/tests/test_murmurhash.py -> build/lib.linux-armv8l-2.7/sklearn/utils/tests
copying sklearn/utils/tests/test_fixes.py -> build/lib.linux-armv8l-2.7/sklearn/utils/tests
copying sklearn/utils/tests/test_graph.py -> build/lib.linux-armv8l-2.7/sklearn/utils/tests
copying sklearn/utils/tests/test_utils.py -> build/lib.linux-armv8l-2.7/sklearn/utils/tests
copying sklearn/utils/tests/test_deprecation.py -> build/lib.linux-armv8l-2.7/sklearn/utils/tests
copying sklearn/utils/tests/test_stats.py -> build/lib.linux-armv8l-2.7/sklearn/utils/tests
copying sklearn/utils/tests/__init__.py -> build/lib.linux-armv8l-2.7/sklearn/utils/tests
copying sklearn/utils/tests/test_seq_dataset.py -> build/lib.linux-armv8l-2.7/sklearn/utils/tests
copying sklearn/utils/tests/test_metaestimators.py -> build/lib.linux-armv8l-2.7/sklearn/utils/tests
copying sklearn/utils/tests/test_bench.py -> build/lib.linux-armv8l-2.7/sklearn/utils/tests
copying sklearn/utils/tests/test_extmath.py -> build/lib.linux-armv8l-2.7/sklearn/utils/tests
copying sklearn/utils/tests/test_sparsefuncs.py -> build/lib.linux-armv8l-2.7/sklearn/utils/tests
copying sklearn/utils/tests/test_fast_dict.py -> build/lib.linux-armv8l-2.7/sklearn/utils/tests
copying sklearn/utils/tests/test_shortest_path.py -> build/lib.linux-armv8l-2.7/sklearn/utils/tests
copying sklearn/utils/tests/test_validation.py -> build/lib.linux-armv8l-2.7/sklearn/utils/tests
copying sklearn/utils/tests/test_linear_assignment.py -> build/lib.linux-armv8l-2.7/sklearn/utils/tests
creating build/lib.linux-armv8l-2.7/sklearn/tests
copying sklearn/tests/test_naive_bayes.py -> build/lib.linux-armv8l-2.7/sklearn/tests
copying sklearn/tests/test_grid_search.py -> build/lib.linux-armv8l-2.7/sklearn/tests
copying sklearn/tests/test_discriminant_analysis.py -> build/lib.linux-armv8l-2.7/sklearn/tests
copying sklearn/tests/test_common.py -> build/lib.linux-armv8l-2.7/sklearn/tests
copying sklearn/tests/test_init.py -> build/lib.linux-armv8l-2.7/sklearn/tests
copying sklearn/tests/test_isotonic.py -> build/lib.linux-armv8l-2.7/sklearn/tests
copying sklearn/tests/test_multioutput.py -> build/lib.linux-armv8l-2.7/sklearn/tests
copying sklearn/tests/test_kernel_ridge.py -> build/lib.linux-armv8l-2.7/sklearn/tests
copying sklearn/tests/test_config.py -> build/lib.linux-armv8l-2.7/sklearn/tests
copying sklearn/tests/test_docstring_parameters.py -> build/lib.linux-armv8l-2.7/sklearn/tests
copying sklearn/tests/test_multiclass.py -> build/lib.linux-armv8l-2.7/sklearn/tests
copying sklearn/tests/test_dummy.py -> build/lib.linux-armv8l-2.7/sklearn/tests
copying sklearn/tests/test_calibration.py -> build/lib.linux-armv8l-2.7/sklearn/tests
copying sklearn/tests/test_random_projection.py -> build/lib.linux-armv8l-2.7/sklearn/tests
copying sklearn/tests/__init__.py -> build/lib.linux-armv8l-2.7/sklearn/tests
copying sklearn/tests/test_base.py -> build/lib.linux-armv8l-2.7/sklearn/tests
copying sklearn/tests/test_cross_validation.py -> build/lib.linux-armv8l-2.7/sklearn/tests
copying sklearn/tests/test_kernel_approximation.py -> build/lib.linux-armv8l-2.7/sklearn/tests
copying sklearn/tests/test_metaestimators.py -> build/lib.linux-armv8l-2.7/sklearn/tests
copying sklearn/tests/test_pipeline.py -> build/lib.linux-armv8l-2.7/sklearn/tests
copying sklearn/tests/test_check_build.py -> build/lib.linux-armv8l-2.7/sklearn/tests
copying sklearn/tests/test_learning_curve.py -> build/lib.linux-armv8l-2.7/sklearn/tests
running build_clib
customize UnixCCompiler
customize UnixCCompiler using build_clib
building 'libsvm-skl' library
compiling C++ sources
C compiler: arm-linux-gnueabihf-g++ -pthread -DNDEBUG -g -fwrapv -O2 -Wall -fno-strict-aliasing -g -O2 -fdebug-prefix-map=/<<PKGBUILDDIR>>=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC
creating build/temp.linux-armv8l-2.7
creating build/temp.linux-armv8l-2.7/sklearn
creating build/temp.linux-armv8l-2.7/sklearn/svm
creating build/temp.linux-armv8l-2.7/sklearn/svm/src
creating build/temp.linux-armv8l-2.7/sklearn/svm/src/libsvm
compile options: '-I/usr/lib/python2.7/dist-packages/numpy/core/include -c'
arm-linux-gnueabihf-g++: sklearn/svm/src/libsvm/libsvm_template.cpp
arm-linux-gnueabihf-gcc-ar: adding 1 object files to build/temp.linux-armv8l-2.7/liblibsvm-skl.a
building 'cblas' library
compiling C sources
C compiler: arm-linux-gnueabihf-gcc -pthread -DNDEBUG -g -fwrapv -O2 -Wall -fno-strict-aliasing -g -O2 -fdebug-prefix-map=/<<PKGBUILDDIR>>=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC
creating build/temp.linux-armv8l-2.7/sklearn/src
creating build/temp.linux-armv8l-2.7/sklearn/src/cblas
compile options: '-I/usr/lib/python2.7/dist-packages/numpy/core/include -c'
arm-linux-gnueabihf-gcc: sklearn/src/cblas/cblas_srot.c
In file included from sklearn/src/cblas/cblas_srot.c:32:0:
sklearn/src/cblas/atlas_misc.h:409:14: warning: 'ATL_Align2Ptr' defined but not used [-Wunused-function]
static void *ATL_Align2Ptr(const void *pu, const void *pA)
^~~~~~~~~~~~~
sklearn/src/cblas/atlas_misc.h:393:12: warning: 'ATL_AlignOffset' defined but not used [-Wunused-function]
static int ATL_AlignOffset
^~~~~~~~~~~~~~~
arm-linux-gnueabihf-gcc: sklearn/src/cblas/ATL_srefcopy.c
arm-linux-gnueabihf-gcc: sklearn/src/cblas/cblas_snrm2.c
In file included from sklearn/src/cblas/cblas_snrm2.c:32:0:
sklearn/src/cblas/atlas_misc.h:409:14: warning: 'ATL_Align2Ptr' defined but not used [-Wunused-function]
static void *ATL_Align2Ptr(const void *pu, const void *pA)
^~~~~~~~~~~~~
sklearn/src/cblas/atlas_misc.h:393:12: warning: 'ATL_AlignOffset' defined but not used [-Wunused-function]
static int ATL_AlignOffset
^~~~~~~~~~~~~~~
arm-linux-gnueabihf-gcc: sklearn/src/cblas/cblas_drot.c
In file included from sklearn/src/cblas/cblas_drot.c:32:0:
sklearn/src/cblas/atlas_misc.h:409:14: warning: 'ATL_Align2Ptr' defined but not used [-Wunused-function]
static void *ATL_Align2Ptr(const void *pu, const void *pA)
^~~~~~~~~~~~~
sklearn/src/cblas/atlas_misc.h:393:12: warning: 'ATL_AlignOffset' defined but not used [-Wunused-function]
static int ATL_AlignOffset
^~~~~~~~~~~~~~~
arm-linux-gnueabihf-gcc: sklearn/src/cblas/cblas_dger.c
sklearn/src/cblas/cblas_dger.c: In function 'cblas_dger':
sklearn/src/cblas/cblas_dger.c:73:7: warning: implicit declaration of function 'cblas_xerbla'; did you mean 'cblas_zher2k'? [-Wimplicit-function-declaration]
cblas_xerbla(info, "cblas_dger", "");
^~~~~~~~~~~~
cblas_zher2k
In file included from sklearn/src/cblas/cblas_dger.c:32:0:
At top level:
sklearn/src/cblas/atlas_misc.h:409:14: warning: 'ATL_Align2Ptr' defined but not used [-Wunused-function]
static void *ATL_Align2Ptr(const void *pu, const void *pA)
^~~~~~~~~~~~~
sklearn/src/cblas/atlas_misc.h:393:12: warning: 'ATL_AlignOffset' defined but not used [-Wunused-function]
static int ATL_AlignOffset
^~~~~~~~~~~~~~~
arm-linux-gnueabihf-gcc: sklearn/src/cblas/ATL_srefgemv.c
arm-linux-gnueabihf-gcc: sklearn/src/cblas/ATL_drefasum.c
arm-linux-gnueabihf-gcc: sklearn/src/cblas/cblas_daxpy.c
arm-linux-gnueabihf-gcc: sklearn/src/cblas/ATL_srefrot.c
arm-linux-gnueabihf-gcc: sklearn/src/cblas/ATL_drefrotg.c
arm-linux-gnueabihf-gcc: sklearn/src/cblas/ATL_drefgemv.c
arm-linux-gnueabihf-gcc: sklearn/src/cblas/cblas_srotg.c
In file included from sklearn/src/cblas/cblas_srotg.c:32:0:
sklearn/src/cblas/atlas_misc.h:409:14: warning: 'ATL_Align2Ptr' defined but not used [-Wunused-function]
static void *ATL_Align2Ptr(const void *pu, const void *pA)
^~~~~~~~~~~~~
sklearn/src/cblas/atlas_misc.h:393:12: warning: 'ATL_AlignOffset' defined but not used [-Wunused-function]
static int ATL_AlignOffset
^~~~~~~~~~~~~~~
arm-linux-gnueabihf-gcc: sklearn/src/cblas/cblas_sger.c
sklearn/src/cblas/cblas_sger.c: In function 'cblas_sger':
sklearn/src/cblas/cblas_sger.c:73:7: warning: implicit declaration of function 'cblas_xerbla'; did you mean 'cblas_zher2k'? [-Wimplicit-function-declaration]
cblas_xerbla(info, "cblas_sger", "");
^~~~~~~~~~~~
cblas_zher2k
In file included from sklearn/src/cblas/cblas_sger.c:32:0:
At top level:
sklearn/src/cblas/atlas_misc.h:409:14: warning: 'ATL_Align2Ptr' defined but not used [-Wunused-function]
static void *ATL_Align2Ptr(const void *pu, const void *pA)
^~~~~~~~~~~~~
sklearn/src/cblas/atlas_misc.h:393:12: warning: 'ATL_AlignOffset' defined but not used [-Wunused-function]
static int ATL_AlignOffset
^~~~~~~~~~~~~~~
arm-linux-gnueabihf-gcc: sklearn/src/cblas/cblas_xerbla.c
sklearn/src/cblas/cblas_xerbla.c: In function 'cblas_xerbla':
sklearn/src/cblas/cblas_xerbla.c:52:4: warning: implicit declaration of function 'exit' [-Wimplicit-function-declaration]
exit(-1);
^~~~
sklearn/src/cblas/cblas_xerbla.c:52:4: warning: incompatible implicit declaration of built-in function 'exit'
sklearn/src/cblas/cblas_xerbla.c:52:4: note: include '<stdlib.h>' or provide a declaration of 'exit'
arm-linux-gnueabihf-gcc: sklearn/src/cblas/cblas_dcopy.c
In file included from sklearn/src/cblas/atlas_level1.h:37:0,
from sklearn/src/cblas/cblas_dcopy.c:36:
sklearn/src/cblas/cblas_dcopy.c: In function 'cblas_dcopy':
sklearn/src/cblas/atlas_refalias1.h:25:24: warning: implicit declaration of function 'ATL_drefcopy'; did you mean 'ATL_dgecopy'? [-Wimplicit-function-declaration]
#define ATL_dcopy ATL_drefcopy
^
sklearn/src/cblas/cblas_dcopy.c:46:24: note: in expansion of macro 'ATL_dcopy'
if (incY < 0) ATL_dcopy(N, X, -incX, Y, -incY);
^~~~~~~~~
In file included from sklearn/src/cblas/cblas_dcopy.c:32:0:
At top level:
sklearn/src/cblas/atlas_misc.h:409:14: warning: 'ATL_Align2Ptr' defined but not used [-Wunused-function]
static void *ATL_Align2Ptr(const void *pu, const void *pA)
^~~~~~~~~~~~~
sklearn/src/cblas/atlas_misc.h:393:12: warning: 'ATL_AlignOffset' defined but not used [-Wunused-function]
static int ATL_AlignOffset
^~~~~~~~~~~~~~~
arm-linux-gnueabihf-gcc: sklearn/src/cblas/ATL_dsrefdot.c
arm-linux-gnueabihf-gcc: sklearn/src/cblas/ATL_srefrotg.c
arm-linux-gnueabihf-gcc: sklearn/src/cblas/cblas_errprn.c
arm-linux-gnueabihf-gcc: sklearn/src/cblas/cblas_saxpy.c
arm-linux-gnueabihf-gcc: sklearn/src/cblas/cblas_sdot.c
arm-linux-gnueabihf-gcc: sklearn/src/cblas/ATL_srefgemvN.c
arm-linux-gnueabihf-gcc: sklearn/src/cblas/cblas_dscal.c
arm-linux-gnueabihf-gcc: sklearn/src/cblas/ATL_srefnrm2.c
arm-linux-gnueabihf-gcc: sklearn/src/cblas/ATL_drefger.c
arm-linux-gnueabihf-gcc: sklearn/src/cblas/ATL_drefrot.c
arm-linux-gnueabihf-gcc: sklearn/src/cblas/cblas_dgemv.c
sklearn/src/cblas/cblas_dgemv.c: In function 'cblas_dgemv':
sklearn/src/cblas/cblas_dgemv.c:79:7: warning: implicit declaration of function 'cblas_xerbla'; did you mean 'cblas_zher2k'? [-Wimplicit-function-declaration]
cblas_xerbla(info, "cblas_dgemv", "");
^~~~~~~~~~~~
cblas_zher2k
In file included from sklearn/src/cblas/cblas_dgemv.c:32:0:
At top level:
sklearn/src/cblas/atlas_misc.h:409:14: warning: 'ATL_Align2Ptr' defined but not used [-Wunused-function]
static void *ATL_Align2Ptr(const void *pu, const void *pA)
^~~~~~~~~~~~~
sklearn/src/cblas/atlas_misc.h:393:12: warning: 'ATL_AlignOffset' defined but not used [-Wunused-function]
static int ATL_AlignOffset
^~~~~~~~~~~~~~~
arm-linux-gnueabihf-gcc: sklearn/src/cblas/cblas_sgemv.c
sklearn/src/cblas/cblas_sgemv.c: In function 'cblas_sgemv':
sklearn/src/cblas/cblas_sgemv.c:79:7: warning: implicit declaration of function 'cblas_xerbla'; did you mean 'cblas_zher2k'? [-Wimplicit-function-declaration]
cblas_xerbla(info, "cblas_sgemv", "");
^~~~~~~~~~~~
cblas_zher2k
In file included from sklearn/src/cblas/cblas_sgemv.c:32:0:
At top level:
sklearn/src/cblas/atlas_misc.h:409:14: warning: 'ATL_Align2Ptr' defined but not used [-Wunused-function]
static void *ATL_Align2Ptr(const void *pu, const void *pA)
^~~~~~~~~~~~~
sklearn/src/cblas/atlas_misc.h:393:12: warning: 'ATL_AlignOffset' defined but not used [-Wunused-function]
static int ATL_AlignOffset
^~~~~~~~~~~~~~~
arm-linux-gnueabihf-gcc: sklearn/src/cblas/cblas_scopy.c
In file included from sklearn/src/cblas/atlas_level1.h:37:0,
from sklearn/src/cblas/cblas_scopy.c:36:
sklearn/src/cblas/cblas_scopy.c: In function 'cblas_scopy':
sklearn/src/cblas/atlas_refalias1.h:12:24: warning: implicit declaration of function 'ATL_srefcopy'; did you mean 'ATL_sgecopy'? [-Wimplicit-function-declaration]
#define ATL_scopy ATL_srefcopy
^
sklearn/src/cblas/cblas_scopy.c:46:24: note: in expansion of macro 'ATL_scopy'
if (incY < 0) ATL_scopy(N, X, -incX, Y, -incY);
^~~~~~~~~
In file included from sklearn/src/cblas/cblas_scopy.c:32:0:
At top level:
sklearn/src/cblas/atlas_misc.h:409:14: warning: 'ATL_Align2Ptr' defined but not used [-Wunused-function]
static void *ATL_Align2Ptr(const void *pu, const void *pA)
^~~~~~~~~~~~~
sklearn/src/cblas/atlas_misc.h:393:12: warning: 'ATL_AlignOffset' defined but not used [-Wunused-function]
static int ATL_AlignOffset
^~~~~~~~~~~~~~~
arm-linux-gnueabihf-gcc: sklearn/src/cblas/cblas_drotg.c
In file included from sklearn/src/cblas/cblas_drotg.c:32:0:
sklearn/src/cblas/atlas_misc.h:409:14: warning: 'ATL_Align2Ptr' defined but not used [-Wunused-function]
static void *ATL_Align2Ptr(const void *pu, const void *pA)
^~~~~~~~~~~~~
sklearn/src/cblas/atlas_misc.h:393:12: warning: 'ATL_AlignOffset' defined but not used [-Wunused-function]
static int ATL_AlignOffset
^~~~~~~~~~~~~~~
arm-linux-gnueabihf-gcc: sklearn/src/cblas/ATL_srefasum.c
arm-linux-gnueabihf-gcc: sklearn/src/cblas/ATL_srefger.c
arm-linux-gnueabihf-gcc: sklearn/src/cblas/cblas_ddot.c
arm-linux-gnueabihf-gcc: sklearn/src/cblas/ATL_drefgemvT.c
arm-linux-gnueabihf-gcc: sklearn/src/cblas/ATL_drefgemvN.c
arm-linux-gnueabihf-gcc: sklearn/src/cblas/ATL_drefcopy.c
arm-linux-gnueabihf-gcc: sklearn/src/cblas/cblas_dnrm2.c
arm-linux-gnueabihf-gcc: sklearn/src/cblas/ATL_srefgemvT.c
arm-linux-gnueabihf-gcc: sklearn/src/cblas/cblas_dasum.c
In file included from sklearn/src/cblas/cblas_dasum.c:32:0:
sklearn/src/cblas/atlas_misc.h:409:14: warning: 'ATL_Align2Ptr' defined but not used [-Wunused-function]
static void *ATL_Align2Ptr(const void *pu, const void *pA)
^~~~~~~~~~~~~
sklearn/src/cblas/atlas_misc.h:393:12: warning: 'ATL_AlignOffset' defined but not used [-Wunused-function]
static int ATL_AlignOffset
^~~~~~~~~~~~~~~
arm-linux-gnueabihf-gcc: sklearn/src/cblas/cblas_sasum.c
In file included from sklearn/src/cblas/cblas_sasum.c:32:0:
sklearn/src/cblas/atlas_misc.h:409:14: warning: 'ATL_Align2Ptr' defined but not used [-Wunused-function]
static void *ATL_Align2Ptr(const void *pu, const void *pA)
^~~~~~~~~~~~~
sklearn/src/cblas/atlas_misc.h:393:12: warning: 'ATL_AlignOffset' defined but not used [-Wunused-function]
static int ATL_AlignOffset
^~~~~~~~~~~~~~~
arm-linux-gnueabihf-gcc: sklearn/src/cblas/cblas_sscal.c
arm-linux-gnueabihf-gcc-ar: adding 40 object files to build/temp.linux-armv8l-2.7/libcblas.a
running build_ext
customize UnixCCompiler
customize UnixCCompiler using build_ext
customize UnixCCompiler
customize UnixCCompiler using build_ext
building 'sklearn.__check_build._check_build' extension
compiling C sources
C compiler: arm-linux-gnueabihf-gcc -pthread -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -fno-strict-aliasing -g -O2 -fdebug-prefix-map=/<<PKGBUILDDIR>>=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC
creating build/temp.linux-armv8l-2.7/sklearn/__check_build
compile options: '-I/usr/lib/python2.7/dist-packages/numpy/core/include -I/usr/lib/python2.7/dist-packages/numpy/core/include -I/usr/include/python2.7 -c'
arm-linux-gnueabihf-gcc: sklearn/__check_build/_check_build.c
arm-linux-gnueabihf-gcc -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-z,relro -fno-strict-aliasing -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -Wdate-time -D_FORTIFY_SOURCE=2 -g -fdebug-prefix-map=/build/python2.7-tAnJG9/python2.7-2.7.15=. -fstack-protector-strong -Wformat -Werror=format-security -Wl,-z,relro -g -O2 -fdebug-prefix-map=/<<PKGBUILDDIR>>=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 build/temp.linux-armv8l-2.7/sklearn/__check_build/_check_build.o -Lbuild/temp.linux-armv8l-2.7 -o build/lib.linux-armv8l-2.7/sklearn/__check_build/_check_build.so
building 'sklearn.cluster._dbscan_inner' extension
compiling C++ sources
C compiler: arm-linux-gnueabihf-g++ -pthread -DNDEBUG -g -fwrapv -O2 -Wall -fno-strict-aliasing -g -O2 -fdebug-prefix-map=/<<PKGBUILDDIR>>=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC
creating build/temp.linux-armv8l-2.7/sklearn/cluster
compile options: '-I/usr/lib/python2.7/dist-packages/numpy/core/include -I/usr/lib/python2.7/dist-packages/numpy/core/include -I/usr/include/python2.7 -c'
arm-linux-gnueabihf-g++: sklearn/cluster/_dbscan_inner.cpp
In file included from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarraytypes.h:1816:0,
from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarrayobject.h:18,
from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/arrayobject.h:4,
from sklearn/cluster/_dbscan_inner.cpp:606:
/usr/lib/python2.7/dist-packages/numpy/core/include/numpy/npy_1_7_deprecated_api.h:15:2: warning: #warning "Using deprecated NumPy API, disable it by " "#defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp]
#warning "Using deprecated NumPy API, disable it by " \
^~~~~~~
arm-linux-gnueabihf-g++ -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-z,relro -fno-strict-aliasing -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -Wdate-time -D_FORTIFY_SOURCE=2 -g -fdebug-prefix-map=/build/python2.7-tAnJG9/python2.7-2.7.15=. -fstack-protector-strong -Wformat -Werror=format-security -Wl,-z,relro -g -O2 -fdebug-prefix-map=/<<PKGBUILDDIR>>=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 build/temp.linux-armv8l-2.7/sklearn/cluster/_dbscan_inner.o -Lbuild/temp.linux-armv8l-2.7 -o build/lib.linux-armv8l-2.7/sklearn/cluster/_dbscan_inner.so
building 'sklearn.cluster._hierarchical' extension
compiling C++ sources
C compiler: arm-linux-gnueabihf-g++ -pthread -DNDEBUG -g -fwrapv -O2 -Wall -fno-strict-aliasing -g -O2 -fdebug-prefix-map=/<<PKGBUILDDIR>>=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC
compile options: '-I/usr/lib/python2.7/dist-packages/numpy/core/include -I/usr/lib/python2.7/dist-packages/numpy/core/include -I/usr/include/python2.7 -c'
arm-linux-gnueabihf-g++: sklearn/cluster/_hierarchical.cpp
In file included from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarraytypes.h:1816:0,
from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarrayobject.h:18,
from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/arrayobject.h:4,
from sklearn/cluster/_hierarchical.cpp:604:
/usr/lib/python2.7/dist-packages/numpy/core/include/numpy/npy_1_7_deprecated_api.h:15:2: warning: #warning "Using deprecated NumPy API, disable it by " "#defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp]
#warning "Using deprecated NumPy API, disable it by " \
^~~~~~~
In file included from /usr/include/c++/7/map:60:0,
from sklearn/cluster/_hierarchical.cpp:611:
/usr/include/c++/7/bits/stl_tree.h: In function 'std::_Rb_tree<_Key, _Val, _KeyOfValue, _Compare, _Alloc>::iterator std::_Rb_tree<_Key, _Val, _KeyOfValue, _Compare, _Alloc>::_M_emplace_hint_unique(std::_Rb_tree<_Key, _Val, _KeyOfValue, _Compare, _Alloc>::const_iterator, _Args&& ...) [with _Args = {const std::piecewise_construct_t&, std::tuple<const int&>, std::tuple<>}; _Key = int; _Val = std::pair<const int, double>; _KeyOfValue = std::_Select1st<std::pair<const int, double> >; _Compare = std::less<int>; _Alloc = std::allocator<std::pair<const int, double> >]':
/usr/include/c++/7/bits/stl_tree.h:2395:7: note: parameter passing for argument of type 'std::_Rb_tree<int, std::pair<const int, double>, std::_Select1st<std::pair<const int, double> >, std::less<int>, std::allocator<std::pair<const int, double> > >::const_iterator {aka std::_Rb_tree_const_iterator<std::pair<const int, double> >}' changed in GCC 7.1
_Rb_tree<_Key, _Val, _KeyOfValue, _Compare, _Alloc>::
^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
In file included from /usr/include/c++/7/map:61:0,
from sklearn/cluster/_hierarchical.cpp:611:
/usr/include/c++/7/bits/stl_map.h: In function 'PyObject* __pyx_pw_7sklearn_7cluster_13_hierarchical_9max_merge(PyObject*, PyObject*, PyObject*)':
/usr/include/c++/7/bits/stl_map.h:493:4: note: parameter passing for argument of type 'std::_Rb_tree<int, std::pair<const int, double>, std::_Select1st<std::pair<const int, double> >, std::less<int>, std::allocator<std::pair<const int, double> > >::const_iterator {aka std::_Rb_tree_const_iterator<std::pair<const int, double> >}' changed in GCC 7.1
__i = _M_t._M_emplace_hint_unique(__i, std::piecewise_construct,
^~~
/usr/include/c++/7/bits/stl_map.h:493:4: note: parameter passing for argument of type 'std::_Rb_tree<int, std::pair<const int, double>, std::_Select1st<std::pair<const int, double> >, std::less<int>, std::allocator<std::pair<const int, double> > >::const_iterator {aka std::_Rb_tree_const_iterator<std::pair<const int, double> >}' changed in GCC 7.1
__i = _M_t._M_emplace_hint_unique(__i, std::piecewise_construct,
^~~
/usr/include/c++/7/bits/stl_map.h: In function 'PyObject* __pyx_pw_7sklearn_7cluster_13_hierarchical_11average_merge(PyObject*, PyObject*, PyObject*)':
/usr/include/c++/7/bits/stl_map.h:493:4: note: parameter passing for argument of type 'std::_Rb_tree<int, std::pair<const int, double>, std::_Select1st<std::pair<const int, double> >, std::less<int>, std::allocator<std::pair<const int, double> > >::const_iterator {aka std::_Rb_tree_const_iterator<std::pair<const int, double> >}' changed in GCC 7.1
__i = _M_t._M_emplace_hint_unique(__i, std::piecewise_construct,
^~~
/usr/include/c++/7/bits/stl_map.h:493:4: note: parameter passing for argument of type 'std::_Rb_tree<int, std::pair<const int, double>, std::_Select1st<std::pair<const int, double> >, std::less<int>, std::allocator<std::pair<const int, double> > >::const_iterator {aka std::_Rb_tree_const_iterator<std::pair<const int, double> >}' changed in GCC 7.1
__i = _M_t._M_emplace_hint_unique(__i, std::piecewise_construct,
^~~
arm-linux-gnueabihf-g++ -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-z,relro -fno-strict-aliasing -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -Wdate-time -D_FORTIFY_SOURCE=2 -g -fdebug-prefix-map=/build/python2.7-tAnJG9/python2.7-2.7.15=. -fstack-protector-strong -Wformat -Werror=format-security -Wl,-z,relro -g -O2 -fdebug-prefix-map=/<<PKGBUILDDIR>>=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 build/temp.linux-armv8l-2.7/sklearn/cluster/_hierarchical.o -Lbuild/temp.linux-armv8l-2.7 -lm -o build/lib.linux-armv8l-2.7/sklearn/cluster/_hierarchical.so
building 'sklearn.cluster._k_means_elkan' extension
compiling C sources
C compiler: arm-linux-gnueabihf-gcc -pthread -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -fno-strict-aliasing -g -O2 -fdebug-prefix-map=/<<PKGBUILDDIR>>=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC
compile options: '-I/usr/lib/python2.7/dist-packages/numpy/core/include -I/usr/lib/python2.7/dist-packages/numpy/core/include -I/usr/include/python2.7 -c'
arm-linux-gnueabihf-gcc: sklearn/cluster/_k_means_elkan.c
In file included from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarraytypes.h:1816:0,
from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarrayobject.h:18,
from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/arrayobject.h:4,
from sklearn/cluster/_k_means_elkan.c:589:
/usr/lib/python2.7/dist-packages/numpy/core/include/numpy/npy_1_7_deprecated_api.h:15:2: warning: #warning "Using deprecated NumPy API, disable it by " "#defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp]
#warning "Using deprecated NumPy API, disable it by " \
^~~~~~~
arm-linux-gnueabihf-gcc -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-z,relro -fno-strict-aliasing -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -Wdate-time -D_FORTIFY_SOURCE=2 -g -fdebug-prefix-map=/build/python2.7-tAnJG9/python2.7-2.7.15=. -fstack-protector-strong -Wformat -Werror=format-security -Wl,-z,relro -g -O2 -fdebug-prefix-map=/<<PKGBUILDDIR>>=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 build/temp.linux-armv8l-2.7/sklearn/cluster/_k_means_elkan.o -Lbuild/temp.linux-armv8l-2.7 -lm -o build/lib.linux-armv8l-2.7/sklearn/cluster/_k_means_elkan.so
building 'sklearn.cluster._k_means' extension
compiling C sources
C compiler: arm-linux-gnueabihf-gcc -pthread -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -fno-strict-aliasing -g -O2 -fdebug-prefix-map=/<<PKGBUILDDIR>>=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC
compile options: '-Isklearn/src/cblas -I/usr/lib/python2.7/dist-packages/numpy/core/include -I/usr/lib/python2.7/dist-packages/numpy/core/include -I/usr/include/python2.7 -c'
arm-linux-gnueabihf-gcc: sklearn/cluster/_k_means.c
In file included from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarraytypes.h:1816:0,
from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarrayobject.h:18,
from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/arrayobject.h:4,
from sklearn/cluster/_k_means.c:593:
/usr/lib/python2.7/dist-packages/numpy/core/include/numpy/npy_1_7_deprecated_api.h:15:2: warning: #warning "Using deprecated NumPy API, disable it by " "#defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp]
#warning "Using deprecated NumPy API, disable it by " \
^~~~~~~
sklearn/cluster/_k_means.c: In function '__pyx_fuse_0__pyx_f_7sklearn_7cluster_8_k_means__assign_labels_array':
sklearn/cluster/_k_means.c:3765:15: warning: assignment from incompatible pointer type [-Wincompatible-pointer-types]
__pyx_v_dot = cblas_sdot;
^
sklearn/cluster/_k_means.c: In function '__pyx_fuse_1__pyx_f_7sklearn_7cluster_8_k_means__assign_labels_array':
sklearn/cluster/_k_means.c:4519:15: warning: assignment from incompatible pointer type [-Wincompatible-pointer-types]
__pyx_v_dot = cblas_ddot;
^
sklearn/cluster/_k_means.c: In function '__pyx_fuse_0__pyx_f_7sklearn_7cluster_8_k_means__assign_labels_csr':
sklearn/cluster/_k_means.c:5856:15: warning: assignment from incompatible pointer type [-Wincompatible-pointer-types]
__pyx_v_dot = cblas_sdot;
^
sklearn/cluster/_k_means.c: In function '__pyx_fuse_1__pyx_f_7sklearn_7cluster_8_k_means__assign_labels_csr':
sklearn/cluster/_k_means.c:6669:15: warning: assignment from incompatible pointer type [-Wincompatible-pointer-types]
__pyx_v_dot = cblas_ddot;
^
arm-linux-gnueabihf-gcc -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-z,relro -fno-strict-aliasing -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -Wdate-time -D_FORTIFY_SOURCE=2 -g -fdebug-prefix-map=/build/python2.7-tAnJG9/python2.7-2.7.15=. -fstack-protector-strong -Wformat -Werror=format-security -Wl,-z,relro -g -O2 -fdebug-prefix-map=/<<PKGBUILDDIR>>=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 build/temp.linux-armv8l-2.7/sklearn/cluster/_k_means.o -Lbuild/temp.linux-armv8l-2.7 -lcblas -lm -o build/lib.linux-armv8l-2.7/sklearn/cluster/_k_means.so
building 'sklearn.datasets._svmlight_format' extension
compiling C sources
C compiler: arm-linux-gnueabihf-gcc -pthread -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -fno-strict-aliasing -g -O2 -fdebug-prefix-map=/<<PKGBUILDDIR>>=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC
creating build/temp.linux-armv8l-2.7/sklearn/datasets
compile options: '-I/usr/lib/python2.7/dist-packages/numpy/core/include -I/usr/lib/python2.7/dist-packages/numpy/core/include -I/usr/include/python2.7 -c'
arm-linux-gnueabihf-gcc: sklearn/datasets/_svmlight_format.c
In file included from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarraytypes.h:1816:0,
from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarrayobject.h:18,
from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/arrayobject.h:4,
from sklearn/datasets/_svmlight_format.c:587:
/usr/lib/python2.7/dist-packages/numpy/core/include/numpy/npy_1_7_deprecated_api.h:15:2: warning: #warning "Using deprecated NumPy API, disable it by " "#defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp]
#warning "Using deprecated NumPy API, disable it by " \
^~~~~~~
arm-linux-gnueabihf-gcc -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-z,relro -fno-strict-aliasing -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -Wdate-time -D_FORTIFY_SOURCE=2 -g -fdebug-prefix-map=/build/python2.7-tAnJG9/python2.7-2.7.15=. -fstack-protector-strong -Wformat -Werror=format-security -Wl,-z,relro -g -O2 -fdebug-prefix-map=/<<PKGBUILDDIR>>=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 build/temp.linux-armv8l-2.7/sklearn/datasets/_svmlight_format.o -Lbuild/temp.linux-armv8l-2.7 -o build/lib.linux-armv8l-2.7/sklearn/datasets/_svmlight_format.so
building 'sklearn.decomposition._online_lda' extension
compiling C sources
C compiler: arm-linux-gnueabihf-gcc -pthread -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -fno-strict-aliasing -g -O2 -fdebug-prefix-map=/<<PKGBUILDDIR>>=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC
creating build/temp.linux-armv8l-2.7/sklearn/decomposition
compile options: '-I/usr/lib/python2.7/dist-packages/numpy/core/include -I/usr/lib/python2.7/dist-packages/numpy/core/include -I/usr/include/python2.7 -c'
arm-linux-gnueabihf-gcc: sklearn/decomposition/_online_lda.c
In file included from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarraytypes.h:1816:0,
from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarrayobject.h:18,
from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/arrayobject.h:4,
from sklearn/decomposition/_online_lda.c:590:
/usr/lib/python2.7/dist-packages/numpy/core/include/numpy/npy_1_7_deprecated_api.h:15:2: warning: #warning "Using deprecated NumPy API, disable it by " "#defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp]
#warning "Using deprecated NumPy API, disable it by " \
^~~~~~~
arm-linux-gnueabihf-gcc -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-z,relro -fno-strict-aliasing -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -Wdate-time -D_FORTIFY_SOURCE=2 -g -fdebug-prefix-map=/build/python2.7-tAnJG9/python2.7-2.7.15=. -fstack-protector-strong -Wformat -Werror=format-security -Wl,-z,relro -g -O2 -fdebug-prefix-map=/<<PKGBUILDDIR>>=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 build/temp.linux-armv8l-2.7/sklearn/decomposition/_online_lda.o -Lbuild/temp.linux-armv8l-2.7 -lm -o build/lib.linux-armv8l-2.7/sklearn/decomposition/_online_lda.so
building 'sklearn.decomposition.cdnmf_fast' extension
compiling C sources
C compiler: arm-linux-gnueabihf-gcc -pthread -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -fno-strict-aliasing -g -O2 -fdebug-prefix-map=/<<PKGBUILDDIR>>=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC
compile options: '-I/usr/lib/python2.7/dist-packages/numpy/core/include -I/usr/lib/python2.7/dist-packages/numpy/core/include -I/usr/include/python2.7 -c'
arm-linux-gnueabihf-gcc: sklearn/decomposition/cdnmf_fast.c
arm-linux-gnueabihf-gcc -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-z,relro -fno-strict-aliasing -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -Wdate-time -D_FORTIFY_SOURCE=2 -g -fdebug-prefix-map=/build/python2.7-tAnJG9/python2.7-2.7.15=. -fstack-protector-strong -Wformat -Werror=format-security -Wl,-z,relro -g -O2 -fdebug-prefix-map=/<<PKGBUILDDIR>>=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 build/temp.linux-armv8l-2.7/sklearn/decomposition/cdnmf_fast.o -Lbuild/temp.linux-armv8l-2.7 -lm -o build/lib.linux-armv8l-2.7/sklearn/decomposition/cdnmf_fast.so
building 'sklearn.ensemble._gradient_boosting' extension
compiling C sources
C compiler: arm-linux-gnueabihf-gcc -pthread -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -fno-strict-aliasing -g -O2 -fdebug-prefix-map=/<<PKGBUILDDIR>>=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC
creating build/temp.linux-armv8l-2.7/sklearn/ensemble
compile options: '-I/usr/lib/python2.7/dist-packages/numpy/core/include -I/usr/lib/python2.7/dist-packages/numpy/core/include -I/usr/include/python2.7 -c'
arm-linux-gnueabihf-gcc: sklearn/ensemble/_gradient_boosting.c
In file included from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarraytypes.h:1816:0,
from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarrayobject.h:18,
from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/arrayobject.h:4,
from sklearn/ensemble/_gradient_boosting.c:587:
/usr/lib/python2.7/dist-packages/numpy/core/include/numpy/npy_1_7_deprecated_api.h:15:2: warning: #warning "Using deprecated NumPy API, disable it by " "#defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp]
#warning "Using deprecated NumPy API, disable it by " \
^~~~~~~
arm-linux-gnueabihf-gcc -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-z,relro -fno-strict-aliasing -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -Wdate-time -D_FORTIFY_SOURCE=2 -g -fdebug-prefix-map=/build/python2.7-tAnJG9/python2.7-2.7.15=. -fstack-protector-strong -Wformat -Werror=format-security -Wl,-z,relro -g -O2 -fdebug-prefix-map=/<<PKGBUILDDIR>>=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 build/temp.linux-armv8l-2.7/sklearn/ensemble/_gradient_boosting.o -Lbuild/temp.linux-armv8l-2.7 -o build/lib.linux-armv8l-2.7/sklearn/ensemble/_gradient_boosting.so
building 'sklearn.feature_extraction._hashing' extension
compiling C sources
C compiler: arm-linux-gnueabihf-gcc -pthread -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -fno-strict-aliasing -g -O2 -fdebug-prefix-map=/<<PKGBUILDDIR>>=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC
creating build/temp.linux-armv8l-2.7/sklearn/feature_extraction
compile options: '-I/usr/lib/python2.7/dist-packages/numpy/core/include -I/usr/lib/python2.7/dist-packages/numpy/core/include -I/usr/include/python2.7 -c'
arm-linux-gnueabihf-gcc: sklearn/feature_extraction/_hashing.c
In file included from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarraytypes.h:1816:0,
from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarrayobject.h:18,
from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/arrayobject.h:4,
from sklearn/feature_extraction/_hashing.c:591:
/usr/lib/python2.7/dist-packages/numpy/core/include/numpy/npy_1_7_deprecated_api.h:15:2: warning: #warning "Using deprecated NumPy API, disable it by " "#defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp]
#warning "Using deprecated NumPy API, disable it by " \
^~~~~~~
arm-linux-gnueabihf-gcc -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-z,relro -fno-strict-aliasing -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -Wdate-time -D_FORTIFY_SOURCE=2 -g -fdebug-prefix-map=/build/python2.7-tAnJG9/python2.7-2.7.15=. -fstack-protector-strong -Wformat -Werror=format-security -Wl,-z,relro -g -O2 -fdebug-prefix-map=/<<PKGBUILDDIR>>=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 build/temp.linux-armv8l-2.7/sklearn/feature_extraction/_hashing.o -Lbuild/temp.linux-armv8l-2.7 -lm -o build/lib.linux-armv8l-2.7/sklearn/feature_extraction/_hashing.so
building 'sklearn.manifold._utils' extension
compiling C sources
C compiler: arm-linux-gnueabihf-gcc -pthread -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -fno-strict-aliasing -g -O2 -fdebug-prefix-map=/<<PKGBUILDDIR>>=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC
creating build/temp.linux-armv8l-2.7/sklearn/manifold
compile options: '-I/usr/lib/python2.7/dist-packages/numpy/core/include -I/usr/lib/python2.7/dist-packages/numpy/core/include -I/usr/include/python2.7 -c'
extra options: '-O3'
arm-linux-gnueabihf-gcc: sklearn/manifold/_utils.c
In file included from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarraytypes.h:1816:0,
from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarrayobject.h:18,
from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/arrayobject.h:4,
from sklearn/manifold/_utils.c:594:
/usr/lib/python2.7/dist-packages/numpy/core/include/numpy/npy_1_7_deprecated_api.h:15:2: warning: #warning "Using deprecated NumPy API, disable it by " "#defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp]
#warning "Using deprecated NumPy API, disable it by " \
^~~~~~~
arm-linux-gnueabihf-gcc -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-z,relro -fno-strict-aliasing -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -Wdate-time -D_FORTIFY_SOURCE=2 -g -fdebug-prefix-map=/build/python2.7-tAnJG9/python2.7-2.7.15=. -fstack-protector-strong -Wformat -Werror=format-security -Wl,-z,relro -g -O2 -fdebug-prefix-map=/<<PKGBUILDDIR>>=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 build/temp.linux-armv8l-2.7/sklearn/manifold/_utils.o -Lbuild/temp.linux-armv8l-2.7 -lm -o build/lib.linux-armv8l-2.7/sklearn/manifold/_utils.so
building 'sklearn.manifold._barnes_hut_tsne' extension
compiling C sources
C compiler: arm-linux-gnueabihf-gcc -pthread -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -fno-strict-aliasing -g -O2 -fdebug-prefix-map=/<<PKGBUILDDIR>>=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC
compile options: '-Isklearn/src/cblas -I/usr/lib/python2.7/dist-packages/numpy/core/include -I/usr/lib/python2.7/dist-packages/numpy/core/include -I/usr/include/python2.7 -c'
extra options: '-O4'
arm-linux-gnueabihf-gcc: sklearn/manifold/_barnes_hut_tsne.c
In file included from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarraytypes.h:1816:0,
from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarrayobject.h:18,
from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/arrayobject.h:4,
from sklearn/manifold/_barnes_hut_tsne.c:595:
/usr/lib/python2.7/dist-packages/numpy/core/include/numpy/npy_1_7_deprecated_api.h:15:2: warning: #warning "Using deprecated NumPy API, disable it by " "#defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp]
#warning "Using deprecated NumPy API, disable it by " \
^~~~~~~
sklearn/manifold/_barnes_hut_tsne.c: In function '__pyx_f_7sklearn_8manifold_16_barnes_hut_tsne_compute_gradient_negative':
sklearn/manifold/_barnes_hut_tsne.c:3364:9: warning: variable '__pyx_v_force' set but not used [-Wunused-but-set-variable]
float __pyx_v_force[3];
^~~~~~~~~~~~~
sklearn/manifold/_barnes_hut_tsne.c:3363:9: warning: variable '__pyx_v_iQ' set but not used [-Wunused-but-set-variable]
float __pyx_v_iQ[1];
^~~~~~~~~~
sklearn/manifold/_barnes_hut_tsne.c: In function '__pyx_pf_7sklearn_8manifold_16_barnes_hut_tsne_gradient':
sklearn/manifold/_barnes_hut_tsne.c:4197:55: warning: format '%li' expects argument of type 'long int', but argument 2 has type 'Py_ssize_t {aka int}' [-Wformat=]
(void)(printf(((char const *)"[t-SNE] Inserting %li points\n"), (__pyx_v_pos_output.shape[0])));
~~^ ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
%i
arm-linux-gnueabihf-gcc -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-z,relro -fno-strict-aliasing -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -Wdate-time -D_FORTIFY_SOURCE=2 -g -fdebug-prefix-map=/build/python2.7-tAnJG9/python2.7-2.7.15=. -fstack-protector-strong -Wformat -Werror=format-security -Wl,-z,relro -g -O2 -fdebug-prefix-map=/<<PKGBUILDDIR>>=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 build/temp.linux-armv8l-2.7/sklearn/manifold/_barnes_hut_tsne.o -Lbuild/temp.linux-armv8l-2.7 -lcblas -o build/lib.linux-armv8l-2.7/sklearn/manifold/_barnes_hut_tsne.so
building 'sklearn.metrics.cluster.expected_mutual_info_fast' extension
compiling C sources
C compiler: arm-linux-gnueabihf-gcc -pthread -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -fno-strict-aliasing -g -O2 -fdebug-prefix-map=/<<PKGBUILDDIR>>=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC
creating build/temp.linux-armv8l-2.7/sklearn/metrics
creating build/temp.linux-armv8l-2.7/sklearn/metrics/cluster
compile options: '-I/usr/lib/python2.7/dist-packages/numpy/core/include -I/usr/lib/python2.7/dist-packages/numpy/core/include -I/usr/include/python2.7 -c'
arm-linux-gnueabihf-gcc: sklearn/metrics/cluster/expected_mutual_info_fast.c
In file included from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarraytypes.h:1816:0,
from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarrayobject.h:18,
from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/arrayobject.h:4,
from sklearn/metrics/cluster/expected_mutual_info_fast.c:590:
/usr/lib/python2.7/dist-packages/numpy/core/include/numpy/npy_1_7_deprecated_api.h:15:2: warning: #warning "Using deprecated NumPy API, disable it by " "#defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp]
#warning "Using deprecated NumPy API, disable it by " \
^~~~~~~
arm-linux-gnueabihf-gcc -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-z,relro -fno-strict-aliasing -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -Wdate-time -D_FORTIFY_SOURCE=2 -g -fdebug-prefix-map=/build/python2.7-tAnJG9/python2.7-2.7.15=. -fstack-protector-strong -Wformat -Werror=format-security -Wl,-z,relro -g -O2 -fdebug-prefix-map=/<<PKGBUILDDIR>>=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 build/temp.linux-armv8l-2.7/sklearn/metrics/cluster/expected_mutual_info_fast.o -Lbuild/temp.linux-armv8l-2.7 -lm -o build/lib.linux-armv8l-2.7/sklearn/metrics/cluster/expected_mutual_info_fast.so
building 'sklearn.metrics.pairwise_fast' extension
compiling C sources
C compiler: arm-linux-gnueabihf-gcc -pthread -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -fno-strict-aliasing -g -O2 -fdebug-prefix-map=/<<PKGBUILDDIR>>=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC
compile options: '-Isklearn/src/cblas -I/usr/lib/python2.7/dist-packages/numpy/core/include -I/usr/lib/python2.7/dist-packages/numpy/core/include -I/usr/include/python2.7 -c'
arm-linux-gnueabihf-gcc: sklearn/metrics/pairwise_fast.c
In file included from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarraytypes.h:1816:0,
from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarrayobject.h:18,
from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/arrayobject.h:4,
from sklearn/metrics/pairwise_fast.c:592:
/usr/lib/python2.7/dist-packages/numpy/core/include/numpy/npy_1_7_deprecated_api.h:15:2: warning: #warning "Using deprecated NumPy API, disable it by " "#defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp]
#warning "Using deprecated NumPy API, disable it by " \
^~~~~~~
arm-linux-gnueabihf-gcc -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-z,relro -fno-strict-aliasing -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -Wdate-time -D_FORTIFY_SOURCE=2 -g -fdebug-prefix-map=/build/python2.7-tAnJG9/python2.7-2.7.15=. -fstack-protector-strong -Wformat -Werror=format-security -Wl,-z,relro -g -O2 -fdebug-prefix-map=/<<PKGBUILDDIR>>=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 build/temp.linux-armv8l-2.7/sklearn/metrics/pairwise_fast.o -Lbuild/temp.linux-armv8l-2.7 -lcblas -lm -o build/lib.linux-armv8l-2.7/sklearn/metrics/pairwise_fast.so
building 'sklearn.neighbors.ball_tree' extension
compiling C sources
C compiler: arm-linux-gnueabihf-gcc -pthread -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -fno-strict-aliasing -g -O2 -fdebug-prefix-map=/<<PKGBUILDDIR>>=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC
creating build/temp.linux-armv8l-2.7/sklearn/neighbors
compile options: '-I/usr/lib/python2.7/dist-packages/numpy/core/include -I/usr/lib/python2.7/dist-packages/numpy/core/include -I/usr/include/python2.7 -c'
arm-linux-gnueabihf-gcc: sklearn/neighbors/ball_tree.c
In file included from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarraytypes.h:1816:0,
from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarrayobject.h:18,
from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/arrayobject.h:4,
from sklearn/neighbors/ball_tree.c:589:
/usr/lib/python2.7/dist-packages/numpy/core/include/numpy/npy_1_7_deprecated_api.h:15:2: warning: #warning "Using deprecated NumPy API, disable it by " "#defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp]
#warning "Using deprecated NumPy API, disable it by " \
^~~~~~~
arm-linux-gnueabihf-gcc -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-z,relro -fno-strict-aliasing -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -Wdate-time -D_FORTIFY_SOURCE=2 -g -fdebug-prefix-map=/build/python2.7-tAnJG9/python2.7-2.7.15=. -fstack-protector-strong -Wformat -Werror=format-security -Wl,-z,relro -g -O2 -fdebug-prefix-map=/<<PKGBUILDDIR>>=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 build/temp.linux-armv8l-2.7/sklearn/neighbors/ball_tree.o -Lbuild/temp.linux-armv8l-2.7 -lm -o build/lib.linux-armv8l-2.7/sklearn/neighbors/ball_tree.so
building 'sklearn.neighbors.kd_tree' extension
compiling C sources
C compiler: arm-linux-gnueabihf-gcc -pthread -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -fno-strict-aliasing -g -O2 -fdebug-prefix-map=/<<PKGBUILDDIR>>=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC
compile options: '-I/usr/lib/python2.7/dist-packages/numpy/core/include -I/usr/lib/python2.7/dist-packages/numpy/core/include -I/usr/include/python2.7 -c'
arm-linux-gnueabihf-gcc: sklearn/neighbors/kd_tree.c
In file included from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarraytypes.h:1816:0,
from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarrayobject.h:18,
from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/arrayobject.h:4,
from sklearn/neighbors/kd_tree.c:589:
/usr/lib/python2.7/dist-packages/numpy/core/include/numpy/npy_1_7_deprecated_api.h:15:2: warning: #warning "Using deprecated NumPy API, disable it by " "#defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp]
#warning "Using deprecated NumPy API, disable it by " \
^~~~~~~
sklearn/neighbors/kd_tree.c: In function '__pyx_f_7sklearn_9neighbors_7kd_tree_10BinaryTree__recursive_build':
sklearn/neighbors/kd_tree.c:22325:49: warning: '__pyx_v_j' may be used uninitialized in this function [-Wmaybe-uninitialized]
__pyx_t_7sklearn_9neighbors_8typedefs_ITYPE_t __pyx_v_j;
^~~~~~~~~
arm-linux-gnueabihf-gcc -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-z,relro -fno-strict-aliasing -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -Wdate-time -D_FORTIFY_SOURCE=2 -g -fdebug-prefix-map=/build/python2.7-tAnJG9/python2.7-2.7.15=. -fstack-protector-strong -Wformat -Werror=format-security -Wl,-z,relro -g -O2 -fdebug-prefix-map=/<<PKGBUILDDIR>>=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 build/temp.linux-armv8l-2.7/sklearn/neighbors/kd_tree.o -Lbuild/temp.linux-armv8l-2.7 -lm -o build/lib.linux-armv8l-2.7/sklearn/neighbors/kd_tree.so
building 'sklearn.neighbors.dist_metrics' extension
compiling C sources
C compiler: arm-linux-gnueabihf-gcc -pthread -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -fno-strict-aliasing -g -O2 -fdebug-prefix-map=/<<PKGBUILDDIR>>=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC
compile options: '-I/usr/lib/python2.7/dist-packages/numpy/core/include -I/usr/lib/python2.7/dist-packages/numpy/core/include/numpy -I/usr/lib/python2.7/dist-packages/numpy/core/include -I/usr/include/python2.7 -c'
arm-linux-gnueabihf-gcc: sklearn/neighbors/dist_metrics.c
In file included from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarraytypes.h:1816:0,
from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarrayobject.h:18,
from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/arrayobject.h:4,
from sklearn/neighbors/dist_metrics.c:590:
/usr/lib/python2.7/dist-packages/numpy/core/include/numpy/npy_1_7_deprecated_api.h:15:2: warning: #warning "Using deprecated NumPy API, disable it by " "#defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp]
#warning "Using deprecated NumPy API, disable it by " \
^~~~~~~
sklearn/neighbors/dist_metrics.c: In function '__pyx_f_7sklearn_9neighbors_12dist_metrics_18SEuclideanDistance_dist':
sklearn/neighbors/dist_metrics.c:7047:85: warning: passing argument 1 of '__pyx_f_7sklearn_9neighbors_12dist_metrics_18SEuclideanDistance_rdist' from incompatible pointer type [-Wincompatible-pointer-types]
__pyx_t_1 = __pyx_f_7sklearn_9neighbors_12dist_metrics_18SEuclideanDistance_rdist(((struct __pyx_obj_7sklearn_9neighbors_12dist_metrics_DistanceMetric *)__pyx_v_self), __pyx_v_x1, __pyx_v_x2, __pyx_v_size); if (unlikely(__pyx_t_1 == ((__pyx_t_7sklearn_9neighbors_8typedefs_DTYPE_t)-1.0))) __PYX_ERR(1, 464, __pyx_L1_error)
^
sklearn/neighbors/dist_metrics.c:6850:54: note: expected 'struct __pyx_obj_7sklearn_9neighbors_12dist_metrics_SEuclideanDistance *' but argument is of type 'struct __pyx_obj_7sklearn_9neighbors_12dist_metrics_DistanceMetric *'
static __pyx_t_7sklearn_9neighbors_8typedefs_DTYPE_t __pyx_f_7sklearn_9neighbors_12dist_metrics_18SEuclideanDistance_rdist(struct __pyx_obj_7sklearn_9neighbors_12dist_metrics_SEuclideanDistance *__pyx_v_self, __pyx_t_7sklearn_9neighbors_8typedefs_DTYPE_t *__pyx_v_x1, __pyx_t_7sklearn_9neighbors_8typedefs_DTYPE_t *__pyx_v_x2, __pyx_t_7sklearn_9neighbors_8typedefs_ITYPE_t __pyx_v_size) {
^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
sklearn/neighbors/dist_metrics.c: In function '__pyx_f_7sklearn_9neighbors_12dist_metrics_17MinkowskiDistance_dist':
sklearn/neighbors/dist_metrics.c:7868:84: warning: passing argument 1 of '__pyx_f_7sklearn_9neighbors_12dist_metrics_17MinkowskiDistance_rdist' from incompatible pointer type [-Wincompatible-pointer-types]
__pyx_t_1 = __pyx_f_7sklearn_9neighbors_12dist_metrics_17MinkowskiDistance_rdist(((struct __pyx_obj_7sklearn_9neighbors_12dist_metrics_DistanceMetric *)__pyx_v_self), __pyx_v_x1, __pyx_v_x2, __pyx_v_size); if (unlikely(__pyx_t_1 == ((__pyx_t_7sklearn_9neighbors_8typedefs_DTYPE_t)-1.0))) __PYX_ERR(1, 553, __pyx_L1_error)
^
sklearn/neighbors/dist_metrics.c:7787:54: note: expected 'struct __pyx_obj_7sklearn_9neighbors_12dist_metrics_MinkowskiDistance *' but argument is of type 'struct __pyx_obj_7sklearn_9neighbors_12dist_metrics_DistanceMetric *'
static __pyx_t_7sklearn_9neighbors_8typedefs_DTYPE_t __pyx_f_7sklearn_9neighbors_12dist_metrics_17MinkowskiDistance_rdist(struct __pyx_obj_7sklearn_9neighbors_12dist_metrics_MinkowskiDistance *__pyx_v_self, __pyx_t_7sklearn_9neighbors_8typedefs_DTYPE_t *__pyx_v_x1, __pyx_t_7sklearn_9neighbors_8typedefs_DTYPE_t *__pyx_v_x2, __pyx_t_7sklearn_9neighbors_8typedefs_ITYPE_t __pyx_v_size) {
^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
sklearn/neighbors/dist_metrics.c: In function '__pyx_f_7sklearn_9neighbors_12dist_metrics_18WMinkowskiDistance_dist':
sklearn/neighbors/dist_metrics.c:8576:85: warning: passing argument 1 of '__pyx_f_7sklearn_9neighbors_12dist_metrics_18WMinkowskiDistance_rdist' from incompatible pointer type [-Wincompatible-pointer-types]
__pyx_t_1 = __pyx_f_7sklearn_9neighbors_12dist_metrics_18WMinkowskiDistance_rdist(((struct __pyx_obj_7sklearn_9neighbors_12dist_metrics_DistanceMetric *)__pyx_v_self), __pyx_v_x1, __pyx_v_x2, __pyx_v_size); if (unlikely(__pyx_t_1 == ((__pyx_t_7sklearn_9neighbors_8typedefs_DTYPE_t)-1.0))) __PYX_ERR(1, 612, __pyx_L1_error)
^
sklearn/neighbors/dist_metrics.c:8389:54: note: expected 'struct __pyx_obj_7sklearn_9neighbors_12dist_metrics_WMinkowskiDistance *' but argument is of type 'struct __pyx_obj_7sklearn_9neighbors_12dist_metrics_DistanceMetric *'
static __pyx_t_7sklearn_9neighbors_8typedefs_DTYPE_t __pyx_f_7sklearn_9neighbors_12dist_metrics_18WMinkowskiDistance_rdist(struct __pyx_obj_7sklearn_9neighbors_12dist_metrics_WMinkowskiDistance *__pyx_v_self, __pyx_t_7sklearn_9neighbors_8typedefs_DTYPE_t *__pyx_v_x1, __pyx_t_7sklearn_9neighbors_8typedefs_DTYPE_t *__pyx_v_x2, __pyx_t_7sklearn_9neighbors_8typedefs_ITYPE_t __pyx_v_size) {
^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
sklearn/neighbors/dist_metrics.c: In function '__pyx_f_7sklearn_9neighbors_12dist_metrics_19MahalanobisDistance_dist':
sklearn/neighbors/dist_metrics.c:9447:86: warning: passing argument 1 of '__pyx_f_7sklearn_9neighbors_12dist_metrics_19MahalanobisDistance_rdist' from incompatible pointer type [-Wincompatible-pointer-types]
__pyx_t_1 = __pyx_f_7sklearn_9neighbors_12dist_metrics_19MahalanobisDistance_rdist(((struct __pyx_obj_7sklearn_9neighbors_12dist_metrics_DistanceMetric *)__pyx_v_self), __pyx_v_x1, __pyx_v_x2, __pyx_v_size); if (unlikely(__pyx_t_1 == ((__pyx_t_7sklearn_9neighbors_8typedefs_DTYPE_t)-1.0))) __PYX_ERR(1, 685, __pyx_L1_error)
^
sklearn/neighbors/dist_metrics.c:9202:54: note: expected 'struct __pyx_obj_7sklearn_9neighbors_12dist_metrics_MahalanobisDistance *' but argument is of type 'struct __pyx_obj_7sklearn_9neighbors_12dist_metrics_DistanceMetric *'
static __pyx_t_7sklearn_9neighbors_8typedefs_DTYPE_t __pyx_f_7sklearn_9neighbors_12dist_metrics_19MahalanobisDistance_rdist(struct __pyx_obj_7sklearn_9neighbors_12dist_metrics_MahalanobisDistance *__pyx_v_self, __pyx_t_7sklearn_9neighbors_8typedefs_DTYPE_t *__pyx_v_x1, __pyx_t_7sklearn_9neighbors_8typedefs_DTYPE_t *__pyx_v_x2, __pyx_t_7sklearn_9neighbors_8typedefs_ITYPE_t __pyx_v_size) {
^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
arm-linux-gnueabihf-gcc -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-z,relro -fno-strict-aliasing -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -Wdate-time -D_FORTIFY_SOURCE=2 -g -fdebug-prefix-map=/build/python2.7-tAnJG9/python2.7-2.7.15=. -fstack-protector-strong -Wformat -Werror=format-security -Wl,-z,relro -g -O2 -fdebug-prefix-map=/<<PKGBUILDDIR>>=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 build/temp.linux-armv8l-2.7/sklearn/neighbors/dist_metrics.o -Lbuild/temp.linux-armv8l-2.7 -lm -o build/lib.linux-armv8l-2.7/sklearn/neighbors/dist_metrics.so
building 'sklearn.neighbors.typedefs' extension
compiling C sources
C compiler: arm-linux-gnueabihf-gcc -pthread -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -fno-strict-aliasing -g -O2 -fdebug-prefix-map=/<<PKGBUILDDIR>>=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC
compile options: '-I/usr/lib/python2.7/dist-packages/numpy/core/include -I/usr/lib/python2.7/dist-packages/numpy/core/include -I/usr/include/python2.7 -c'
arm-linux-gnueabihf-gcc: sklearn/neighbors/typedefs.c
In file included from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarraytypes.h:1816:0,
from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarrayobject.h:18,
from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/arrayobject.h:4,
from sklearn/neighbors/typedefs.c:589:
/usr/lib/python2.7/dist-packages/numpy/core/include/numpy/npy_1_7_deprecated_api.h:15:2: warning: #warning "Using deprecated NumPy API, disable it by " "#defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp]
#warning "Using deprecated NumPy API, disable it by " \
^~~~~~~
arm-linux-gnueabihf-gcc -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-z,relro -fno-strict-aliasing -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -Wdate-time -D_FORTIFY_SOURCE=2 -g -fdebug-prefix-map=/build/python2.7-tAnJG9/python2.7-2.7.15=. -fstack-protector-strong -Wformat -Werror=format-security -Wl,-z,relro -g -O2 -fdebug-prefix-map=/<<PKGBUILDDIR>>=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 build/temp.linux-armv8l-2.7/sklearn/neighbors/typedefs.o -Lbuild/temp.linux-armv8l-2.7 -lm -o build/lib.linux-armv8l-2.7/sklearn/neighbors/typedefs.so
building 'sklearn.neighbors.quad_tree' extension
compiling C sources
C compiler: arm-linux-gnueabihf-gcc -pthread -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -fno-strict-aliasing -g -O2 -fdebug-prefix-map=/<<PKGBUILDDIR>>=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC
compile options: '-I/usr/lib/python2.7/dist-packages/numpy/core/include -I/usr/lib/python2.7/dist-packages/numpy/core/include -I/usr/include/python2.7 -c'
arm-linux-gnueabihf-gcc: sklearn/neighbors/quad_tree.c
In file included from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarraytypes.h:1816:0,
from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarrayobject.h:18,
from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/arrayobject.h:4,
from sklearn/neighbors/quad_tree.c:589:
/usr/lib/python2.7/dist-packages/numpy/core/include/numpy/npy_1_7_deprecated_api.h:15:2: warning: #warning "Using deprecated NumPy API, disable it by " "#defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp]
#warning "Using deprecated NumPy API, disable it by " \
^~~~~~~
sklearn/neighbors/quad_tree.c: In function '__pyx_f_7sklearn_9neighbors_9quad_tree_9_QuadTree_insert_point':
sklearn/neighbors/quad_tree.c:3719:64: warning: format '%li' expects argument of type 'long int', but argument 2 has type '__pyx_t_7sklearn_9neighbors_9quad_tree_SIZE_t {aka int}' [-Wformat=]
(void)(printf(((char const *)"[QuadTree] Inserting depth %li\n"), __pyx_v_cell->depth));
~~^ ~~~~~~~~~~~~~~~~~~~
%i
sklearn/neighbors/quad_tree.c:3833:65: warning: format '%li' expects argument of type 'long int', but argument 2 has type '__pyx_t_7sklearn_9neighbors_9quad_tree_SIZE_t {aka int}' [-Wformat=]
(void)(printf(((char const *)"[QuadTree] inserted point %li in cell %li\n"), __pyx_v_point_index, __pyx_v_cell_id));
~~^
%i
sklearn/neighbors/quad_tree.c:3833:77: warning: format '%li' expects argument of type 'long int', but argument 3 has type '__pyx_t_7sklearn_9neighbors_9quad_tree_SIZE_t {aka int}' [-Wformat=]
(void)(printf(((char const *)"[QuadTree] inserted point %li in cell %li\n"), __pyx_v_point_index, __pyx_v_cell_id));
~~^
%i
sklearn/neighbors/quad_tree.c:3930:65: warning: format '%li' expects argument of type 'long int', but argument 2 has type '__pyx_t_7sklearn_9neighbors_9quad_tree_SIZE_t {aka int}' [-Wformat=]
(void)(printf(((char const *)"[QuadTree] selected child %li\n"), __pyx_v_selected_child));
~~^
%i
sklearn/neighbors/quad_tree.c: In function '__pyx_f_7sklearn_9neighbors_9quad_tree_9_QuadTree__insert_point_in_new_child':
sklearn/neighbors/quad_tree.c:4512:63: warning: format '%li' expects argument of type 'long int', but argument 2 has type '__pyx_t_7sklearn_9neighbors_9quad_tree_SIZE_t {aka int}' [-Wformat=]
(void)(printf(((char const *)"[QuadTree] inserted point %li in new child %li\n"), __pyx_v_point_index, __pyx_v_cell_id));
~~^
%i
sklearn/neighbors/quad_tree.c:4512:80: warning: format '%li' expects argument of type 'long int', but argument 3 has type '__pyx_t_7sklearn_9neighbors_9quad_tree_SIZE_t {aka int}' [-Wformat=]
(void)(printf(((char const *)"[QuadTree] inserted point %li in new child %li\n"), __pyx_v_point_index, __pyx_v_cell_id));
~~^
%i
sklearn/neighbors/quad_tree.c: In function '__pyx_f_7sklearn_9neighbors_9quad_tree_9_QuadTree__check_point_in_cell':
sklearn/neighbors/quad_tree.c:5008:88: warning: format '%li' expects argument of type 'long int', but argument 5 has type '__pyx_t_7sklearn_9neighbors_9quad_tree_SIZE_t {aka int}' [-Wformat=]
(void)(printf(((char const *)"[QuadTree] Checking point (%f, %f, %f) in cell %li ([%f/%f, %f/%f, %f/%f], size %li)\n"), (__pyx_v_point[0]), (__pyx_v_point[1]), (__pyx_v_point[2]), __pyx_v_cell->cell_id, (__pyx_v_cell->min_bounds[0]), (__pyx_v_cell->max_bounds[0]), (__pyx_v_cell->min_bounds[1]), (__pyx_v_cell->max_bounds[1]), (__pyx_v_cell->min_bounds[2]), (__pyx_v_cell->max_bounds[2]), __pyx_v_cell->cumulative_size));
~~^ ~~~~~~~~~~~~~~~~~~~~~
%i
sklearn/neighbors/quad_tree.c:5008:121: warning: format '%li' expects argument of type 'long int', but argument 12 has type '__pyx_t_7sklearn_9neighbors_9quad_tree_SIZE_t {aka int}' [-Wformat=]
(void)(printf(((char const *)"[QuadTree] Checking point (%f, %f, %f) in cell %li ([%f/%f, %f/%f, %f/%f], size %li)\n"), (__pyx_v_point[0]), (__pyx_v_point[1]), (__pyx_v_point[2]), __pyx_v_cell->cell_id, (__pyx_v_cell->min_bounds[0]), (__pyx_v_cell->max_bounds[0]), (__pyx_v_cell->min_bounds[1]), (__pyx_v_cell->max_bounds[1]), (__pyx_v_cell->min_bounds[2]), (__pyx_v_cell->max_bounds[2]), __pyx_v_cell->cumulative_size));
~~^ ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
%i
sklearn/neighbors/quad_tree.c:5036:84: warning: format '%li' expects argument of type 'long int', but argument 4 has type '__pyx_t_7sklearn_9neighbors_9quad_tree_SIZE_t {aka int}' [-Wformat=]
(void)(printf(((char const *)"[QuadTree] Checking point (%f, %f) in cell %li ([%f/%f, %f/%f], size %li)\n"), (__pyx_v_point[0]), (__pyx_v_point[1]), __pyx_v_cell->cell_id, (__pyx_v_cell->min_bounds[0]), (__pyx_v_cell->max_bounds[0]), (__pyx_v_cell->min_bounds[1]), (__pyx_v_cell->max_bounds[1]), __pyx_v_cell->cumulative_size));
~~^ ~~~~~~~~~~~~~~~~~~~~~
%i
sklearn/neighbors/quad_tree.c:5036:110: warning: format '%li' expects argument of type 'long int', but argument 9 has type '__pyx_t_7sklearn_9neighbors_9quad_tree_SIZE_t {aka int}' [-Wformat=]
(void)(printf(((char const *)"[QuadTree] Checking point (%f, %f) in cell %li ([%f/%f, %f/%f], size %li)\n"), (__pyx_v_point[0]), (__pyx_v_point[1]), __pyx_v_cell->cell_id, (__pyx_v_cell->min_bounds[0]), (__pyx_v_cell->max_bounds[0]), (__pyx_v_cell->min_bounds[1]), (__pyx_v_cell->max_bounds[1]), __pyx_v_cell->cumulative_size));
~~^ ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
%i
sklearn/neighbors/quad_tree.c: In function '__pyx_f_7sklearn_9neighbors_9quad_tree_9_QuadTree__get_cell':
sklearn/neighbors/quad_tree.c:6248:75: warning: format '%li' expects argument of type 'long int', but argument 2 has type '__pyx_t_7sklearn_9neighbors_9quad_tree_SIZE_t {aka int}' [-Wformat=]
(void)(printf(((char const *)"[QuadTree] Found point in cell: %li\n"), __pyx_v_cell->cell_id));
~~^ ~~~~~~~~~~~~~~~~~~~~~
%i
sklearn/neighbors/quad_tree.c:6367:68: warning: format '%li' expects argument of type 'long int', but argument 2 has type '__pyx_t_7sklearn_9neighbors_9quad_tree_SIZE_t {aka int}' [-Wformat=]
(void)(printf(((char const *)"[QuadTree] Selected_child: %li\n"), __pyx_v_selected_child));
~~^
%i
sklearn/neighbors/quad_tree.c: In function '__pyx_f_7sklearn_9neighbors_9quad_tree_9_QuadTree__get_cell_ndarray':
sklearn/neighbors/quad_tree.c:7127:36: warning: passing argument 1 of '(PyObject * (*)(PyTypeObject *, PyArray_Descr *, int, npy_intp *, npy_intp *, void *, int, PyObject *))*(PyArray_API + 376)' from incompatible pointer type [-Wincompatible-pointer-types]
__pyx_t_2 = PyArray_NewFromDescr(((PyObject *)__pyx_ptype_5numpy_ndarray), ((PyArray_Descr *)__pyx_t_1), 1, __pyx_v_shape, __pyx_v_strides, ((void *)__pyx_v_self->cells), NPY_DEFAULT, Py_None); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 574, __pyx_L1_error)
^
sklearn/neighbors/quad_tree.c:7127:36: note: expected 'PyTypeObject * {aka struct _typeobject *}' but argument is of type 'PyObject * {aka struct _object *}'
arm-linux-gnueabihf-gcc -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-z,relro -fno-strict-aliasing -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -Wdate-time -D_FORTIFY_SOURCE=2 -g -fdebug-prefix-map=/build/python2.7-tAnJG9/python2.7-2.7.15=. -fstack-protector-strong -Wformat -Werror=format-security -Wl,-z,relro -g -O2 -fdebug-prefix-map=/<<PKGBUILDDIR>>=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 build/temp.linux-armv8l-2.7/sklearn/neighbors/quad_tree.o -Lbuild/temp.linux-armv8l-2.7 -lm -o build/lib.linux-armv8l-2.7/sklearn/neighbors/quad_tree.so
building 'sklearn.tree._tree' extension
compiling C sources
C compiler: arm-linux-gnueabihf-gcc -pthread -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -fno-strict-aliasing -g -O2 -fdebug-prefix-map=/<<PKGBUILDDIR>>=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC
creating build/temp.linux-armv8l-2.7/sklearn/tree
compile options: '-I/usr/lib/python2.7/dist-packages/numpy/core/include -I/usr/lib/python2.7/dist-packages/numpy/core/include -I/usr/include/python2.7 -c'
extra options: '-O3'
arm-linux-gnueabihf-gcc: sklearn/tree/_tree.c
In file included from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarraytypes.h:1816:0,
from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarrayobject.h:18,
from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/arrayobject.h:4,
from sklearn/tree/_tree.c:592:
/usr/lib/python2.7/dist-packages/numpy/core/include/numpy/npy_1_7_deprecated_api.h:15:2: warning: #warning "Using deprecated NumPy API, disable it by " "#defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp]
#warning "Using deprecated NumPy API, disable it by " \
^~~~~~~
sklearn/tree/_tree.c: In function '__pyx_f_7sklearn_4tree_5_tree_4Tree__get_node_ndarray':
sklearn/tree/_tree.c:14912:36: warning: passing argument 1 of '(PyObject * (*)(PyTypeObject *, PyArray_Descr *, int, npy_intp *, npy_intp *, void *, int, PyObject *))*(PyArray_API + 376)' from incompatible pointer type [-Wincompatible-pointer-types]
__pyx_t_2 = PyArray_NewFromDescr(((PyObject *)__pyx_ptype_5numpy_ndarray), ((PyArray_Descr *)__pyx_t_1), 1, __pyx_v_shape, __pyx_v_strides, ((void *)__pyx_v_self->nodes), NPY_DEFAULT, Py_None); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 1123, __pyx_L1_error)
^
sklearn/tree/_tree.c:14912:36: note: expected 'PyTypeObject * {aka struct _typeobject *}' but argument is of type 'PyObject * {aka struct _object *}'
arm-linux-gnueabihf-gcc -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-z,relro -fno-strict-aliasing -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -Wdate-time -D_FORTIFY_SOURCE=2 -g -fdebug-prefix-map=/build/python2.7-tAnJG9/python2.7-2.7.15=. -fstack-protector-strong -Wformat -Werror=format-security -Wl,-z,relro -g -O2 -fdebug-prefix-map=/<<PKGBUILDDIR>>=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 build/temp.linux-armv8l-2.7/sklearn/tree/_tree.o -Lbuild/temp.linux-armv8l-2.7 -lm -o build/lib.linux-armv8l-2.7/sklearn/tree/_tree.so
building 'sklearn.tree._splitter' extension
compiling C sources
C compiler: arm-linux-gnueabihf-gcc -pthread -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -fno-strict-aliasing -g -O2 -fdebug-prefix-map=/<<PKGBUILDDIR>>=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC
compile options: '-I/usr/lib/python2.7/dist-packages/numpy/core/include -I/usr/lib/python2.7/dist-packages/numpy/core/include -I/usr/include/python2.7 -c'
extra options: '-O3'
arm-linux-gnueabihf-gcc: sklearn/tree/_splitter.c
In file included from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarraytypes.h:1816:0,
from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarrayobject.h:18,
from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/arrayobject.h:4,
from sklearn/tree/_splitter.c:592:
/usr/lib/python2.7/dist-packages/numpy/core/include/numpy/npy_1_7_deprecated_api.h:15:2: warning: #warning "Using deprecated NumPy API, disable it by " "#defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp]
#warning "Using deprecated NumPy API, disable it by " \
^~~~~~~
arm-linux-gnueabihf-gcc -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-z,relro -fno-strict-aliasing -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -Wdate-time -D_FORTIFY_SOURCE=2 -g -fdebug-prefix-map=/build/python2.7-tAnJG9/python2.7-2.7.15=. -fstack-protector-strong -Wformat -Werror=format-security -Wl,-z,relro -g -O2 -fdebug-prefix-map=/<<PKGBUILDDIR>>=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 build/temp.linux-armv8l-2.7/sklearn/tree/_splitter.o -Lbuild/temp.linux-armv8l-2.7 -lm -o build/lib.linux-armv8l-2.7/sklearn/tree/_splitter.so
building 'sklearn.tree._criterion' extension
compiling C sources
C compiler: arm-linux-gnueabihf-gcc -pthread -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -fno-strict-aliasing -g -O2 -fdebug-prefix-map=/<<PKGBUILDDIR>>=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC
compile options: '-I/usr/lib/python2.7/dist-packages/numpy/core/include -I/usr/lib/python2.7/dist-packages/numpy/core/include -I/usr/include/python2.7 -c'
extra options: '-O3'
arm-linux-gnueabihf-gcc: sklearn/tree/_criterion.c
In file included from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarraytypes.h:1816:0,
from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarrayobject.h:18,
from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/arrayobject.h:4,
from sklearn/tree/_criterion.c:592:
/usr/lib/python2.7/dist-packages/numpy/core/include/numpy/npy_1_7_deprecated_api.h:15:2: warning: #warning "Using deprecated NumPy API, disable it by " "#defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp]
#warning "Using deprecated NumPy API, disable it by " \
^~~~~~~
arm-linux-gnueabihf-gcc -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-z,relro -fno-strict-aliasing -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -Wdate-time -D_FORTIFY_SOURCE=2 -g -fdebug-prefix-map=/build/python2.7-tAnJG9/python2.7-2.7.15=. -fstack-protector-strong -Wformat -Werror=format-security -Wl,-z,relro -g -O2 -fdebug-prefix-map=/<<PKGBUILDDIR>>=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 build/temp.linux-armv8l-2.7/sklearn/tree/_criterion.o -Lbuild/temp.linux-armv8l-2.7 -lm -o build/lib.linux-armv8l-2.7/sklearn/tree/_criterion.so
building 'sklearn.tree._utils' extension
compiling C sources
C compiler: arm-linux-gnueabihf-gcc -pthread -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -fno-strict-aliasing -g -O2 -fdebug-prefix-map=/<<PKGBUILDDIR>>=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC
compile options: '-I/usr/lib/python2.7/dist-packages/numpy/core/include -I/usr/lib/python2.7/dist-packages/numpy/core/include -I/usr/include/python2.7 -c'
extra options: '-O3'
arm-linux-gnueabihf-gcc: sklearn/tree/_utils.c
In file included from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarraytypes.h:1816:0,
from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarrayobject.h:18,
from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/arrayobject.h:4,
from sklearn/tree/_utils.c:592:
/usr/lib/python2.7/dist-packages/numpy/core/include/numpy/npy_1_7_deprecated_api.h:15:2: warning: #warning "Using deprecated NumPy API, disable it by " "#defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp]
#warning "Using deprecated NumPy API, disable it by " \
^~~~~~~
sklearn/tree/_utils.c: In function '__pyx_f_7sklearn_4tree_6_utils_24WeightedMedianCalculator_remove':
sklearn/tree/_utils.c:9136:3: warning: '__pyx_v_original_median' may be used uninitialized in this function [-Wmaybe-uninitialized]
(void)(((struct __pyx_vtabstruct_7sklearn_4tree_6_utils_WeightedMedianCalculator *)__pyx_v_self->__pyx_vtab)->update_median_parameters_post_remove(__pyx_v_self, __pyx_v_data, __pyx_v_weight, __pyx_v_original_median));
^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
sklearn/tree/_utils.c: In function '__pyx_f_7sklearn_4tree_6_utils_24WeightedMedianCalculator_pop':
sklearn/tree/_utils.c:9248:3: warning: '__pyx_v_original_median' may be used uninitialized in this function [-Wmaybe-uninitialized]
(void)(((struct __pyx_vtabstruct_7sklearn_4tree_6_utils_WeightedMedianCalculator *)__pyx_v_self->__pyx_vtab)->update_median_parameters_post_remove(__pyx_v_self, (__pyx_v_data[0]), (__pyx_v_weight[0]), __pyx_v_original_median));
^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
sklearn/tree/_utils.c: In function '__pyx_f_7sklearn_4tree_6_utils_24WeightedMedianCalculator_push':
sklearn/tree/_utils.c:8780:3: warning: '__pyx_v_original_median' may be used uninitialized in this function [-Wmaybe-uninitialized]
(void)(((struct __pyx_vtabstruct_7sklearn_4tree_6_utils_WeightedMedianCalculator *)__pyx_v_self->__pyx_vtab)->update_median_parameters_post_push(__pyx_v_self, __pyx_v_data, __pyx_v_weight, __pyx_v_original_median));
^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
arm-linux-gnueabihf-gcc -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-z,relro -fno-strict-aliasing -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -Wdate-time -D_FORTIFY_SOURCE=2 -g -fdebug-prefix-map=/build/python2.7-tAnJG9/python2.7-2.7.15=. -fstack-protector-strong -Wformat -Werror=format-security -Wl,-z,relro -g -O2 -fdebug-prefix-map=/<<PKGBUILDDIR>>=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 build/temp.linux-armv8l-2.7/sklearn/tree/_utils.o -Lbuild/temp.linux-armv8l-2.7 -lm -o build/lib.linux-armv8l-2.7/sklearn/tree/_utils.so
building 'sklearn.svm.libsvm' extension
compiling C sources
C compiler: arm-linux-gnueabihf-gcc -pthread -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -fno-strict-aliasing -g -O2 -fdebug-prefix-map=/<<PKGBUILDDIR>>=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC
compile options: '-I/usr/lib/python2.7/dist-packages/numpy/core/include -Isklearn/svm/src/libsvm -I/usr/lib/python2.7/dist-packages/numpy/core/include -I/usr/include/python2.7 -c'
arm-linux-gnueabihf-gcc: sklearn/svm/libsvm.c
In file included from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarraytypes.h:1816:0,
from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarrayobject.h:18,
from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/arrayobject.h:4,
from sklearn/svm/libsvm.c:594:
/usr/lib/python2.7/dist-packages/numpy/core/include/numpy/npy_1_7_deprecated_api.h:15:2: warning: #warning "Using deprecated NumPy API, disable it by " "#defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp]
#warning "Using deprecated NumPy API, disable it by " \
^~~~~~~
arm-linux-gnueabihf-g++ -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-z,relro -fno-strict-aliasing -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -Wdate-time -D_FORTIFY_SOURCE=2 -g -fdebug-prefix-map=/build/python2.7-tAnJG9/python2.7-2.7.15=. -fstack-protector-strong -Wformat -Werror=format-security -Wl,-z,relro -g -O2 -fdebug-prefix-map=/<<PKGBUILDDIR>>=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 build/temp.linux-armv8l-2.7/sklearn/svm/libsvm.o -Lbuild/temp.linux-armv8l-2.7 -llibsvm-skl -o build/lib.linux-armv8l-2.7/sklearn/svm/libsvm.so
building 'sklearn.svm.liblinear' extension
compiling C sources
C compiler: arm-linux-gnueabihf-gcc -pthread -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -fno-strict-aliasing -g -O2 -fdebug-prefix-map=/<<PKGBUILDDIR>>=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC
compile options: '-Isklearn/svm -I./sklearn/svm -Isklearn/src/cblas -I/usr/lib/python2.7/dist-packages/numpy/core/include -I/usr/lib/python2.7/dist-packages/numpy/core/include -I/usr/include/python2.7 -c'
arm-linux-gnueabihf-gcc: sklearn/svm/liblinear.c
In file included from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarraytypes.h:1816:0,
from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarrayobject.h:18,
from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/arrayobject.h:4,
from sklearn/svm/liblinear.c:598:
/usr/lib/python2.7/dist-packages/numpy/core/include/numpy/npy_1_7_deprecated_api.h:15:2: warning: #warning "Using deprecated NumPy API, disable it by " "#defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp]
#warning "Using deprecated NumPy API, disable it by " \
^~~~~~~
In file included from sklearn/svm/liblinear.c:601:0:
sklearn/svm/src/liblinear/liblinear_helper.c: In function 'set_problem':
sklearn/svm/src/liblinear/liblinear_helper.c:145:28: warning: assignment from incompatible pointer type [-Wincompatible-pointer-types]
problem->sample_weight = sample_weight;
^
sklearn/svm/src/liblinear/liblinear_helper.c: In function 'csr_set_problem':
sklearn/svm/src/liblinear/liblinear_helper.c:174:28: warning: assignment from incompatible pointer type [-Wincompatible-pointer-types]
problem->sample_weight = sample_weight;
^
compiling C++ sources
C compiler: arm-linux-gnueabihf-g++ -pthread -DNDEBUG -g -fwrapv -O2 -Wall -fno-strict-aliasing -g -O2 -fdebug-prefix-map=/<<PKGBUILDDIR>>=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC
creating build/temp.linux-armv8l-2.7/sklearn/svm/src/liblinear
compile options: '-Isklearn/svm -I./sklearn/svm -Isklearn/src/cblas -I/usr/lib/python2.7/dist-packages/numpy/core/include -I/usr/lib/python2.7/dist-packages/numpy/core/include -I/usr/include/python2.7 -c'
arm-linux-gnueabihf-g++: sklearn/svm/src/liblinear/linear.cpp
sklearn/svm/src/liblinear/linear.cpp: In function 'model* train(const problem*, const parameter*)':
sklearn/svm/src/liblinear/linear.cpp:2370:6: warning: unused variable 'n_iter' [-Wunused-variable]
int n_iter;
^~~~~~
arm-linux-gnueabihf-g++: sklearn/svm/src/liblinear/tron.cpp
arm-linux-gnueabihf-g++ -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-z,relro -fno-strict-aliasing -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -Wdate-time -D_FORTIFY_SOURCE=2 -g -fdebug-prefix-map=/build/python2.7-tAnJG9/python2.7-2.7.15=. -fstack-protector-strong -Wformat -Werror=format-security -Wl,-z,relro -g -O2 -fdebug-prefix-map=/<<PKGBUILDDIR>>=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 build/temp.linux-armv8l-2.7/sklearn/svm/liblinear.o build/temp.linux-armv8l-2.7/sklearn/svm/src/liblinear/linear.o build/temp.linux-armv8l-2.7/sklearn/svm/src/liblinear/tron.o -Lbuild/temp.linux-armv8l-2.7 -lcblas -lm -o build/lib.linux-armv8l-2.7/sklearn/svm/liblinear.so
building 'sklearn.svm.libsvm_sparse' extension
compiling C sources
C compiler: arm-linux-gnueabihf-gcc -pthread -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -fno-strict-aliasing -g -O2 -fdebug-prefix-map=/<<PKGBUILDDIR>>=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC
compile options: '-I/usr/lib/python2.7/dist-packages/numpy/core/include -Isklearn/svm/src/libsvm -I/usr/lib/python2.7/dist-packages/numpy/core/include -I/usr/include/python2.7 -c'
arm-linux-gnueabihf-gcc: sklearn/svm/libsvm_sparse.c
In file included from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarraytypes.h:1816:0,
from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarrayobject.h:18,
from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/arrayobject.h:4,
from sklearn/svm/libsvm_sparse.c:592:
/usr/lib/python2.7/dist-packages/numpy/core/include/numpy/npy_1_7_deprecated_api.h:15:2: warning: #warning "Using deprecated NumPy API, disable it by " "#defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp]
#warning "Using deprecated NumPy API, disable it by " \
^~~~~~~
arm-linux-gnueabihf-g++ -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-z,relro -fno-strict-aliasing -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -Wdate-time -D_FORTIFY_SOURCE=2 -g -fdebug-prefix-map=/build/python2.7-tAnJG9/python2.7-2.7.15=. -fstack-protector-strong -Wformat -Werror=format-security -Wl,-z,relro -g -O2 -fdebug-prefix-map=/<<PKGBUILDDIR>>=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 build/temp.linux-armv8l-2.7/sklearn/svm/libsvm_sparse.o -Lbuild/temp.linux-armv8l-2.7 -llibsvm-skl -o build/lib.linux-armv8l-2.7/sklearn/svm/libsvm_sparse.so
building 'sklearn._isotonic' extension
compiling C sources
C compiler: arm-linux-gnueabihf-gcc -pthread -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -fno-strict-aliasing -g -O2 -fdebug-prefix-map=/<<PKGBUILDDIR>>=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC
compile options: '-I/usr/lib/python2.7/dist-packages/numpy/core/include -I/usr/lib/python2.7/dist-packages/numpy/core/include -I/usr/include/python2.7 -c'
arm-linux-gnueabihf-gcc: sklearn/_isotonic.c
In file included from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarraytypes.h:1816:0,
from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarrayobject.h:18,
from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/arrayobject.h:4,
from sklearn/_isotonic.c:589:
/usr/lib/python2.7/dist-packages/numpy/core/include/numpy/npy_1_7_deprecated_api.h:15:2: warning: #warning "Using deprecated NumPy API, disable it by " "#defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp]
#warning "Using deprecated NumPy API, disable it by " \
^~~~~~~
arm-linux-gnueabihf-gcc -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-z,relro -fno-strict-aliasing -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -Wdate-time -D_FORTIFY_SOURCE=2 -g -fdebug-prefix-map=/build/python2.7-tAnJG9/python2.7-2.7.15=. -fstack-protector-strong -Wformat -Werror=format-security -Wl,-z,relro -g -O2 -fdebug-prefix-map=/<<PKGBUILDDIR>>=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 build/temp.linux-armv8l-2.7/sklearn/_isotonic.o -Lbuild/temp.linux-armv8l-2.7 -lm -o build/lib.linux-armv8l-2.7/sklearn/_isotonic.so
building 'sklearn.linear_model.cd_fast' extension
compiling C sources
C compiler: arm-linux-gnueabihf-gcc -pthread -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -fno-strict-aliasing -g -O2 -fdebug-prefix-map=/<<PKGBUILDDIR>>=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC
creating build/temp.linux-armv8l-2.7/sklearn/linear_model
compile options: '-Isklearn/src/cblas -I/usr/lib/python2.7/dist-packages/numpy/core/include -I/usr/lib/python2.7/dist-packages/numpy/core/include -I/usr/include/python2.7 -c'
arm-linux-gnueabihf-gcc: sklearn/linear_model/cd_fast.c
In file included from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarraytypes.h:1816:0,
from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarrayobject.h:18,
from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/arrayobject.h:4,
from sklearn/linear_model/cd_fast.c:593:
/usr/lib/python2.7/dist-packages/numpy/core/include/numpy/npy_1_7_deprecated_api.h:15:2: warning: #warning "Using deprecated NumPy API, disable it by " "#defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp]
#warning "Using deprecated NumPy API, disable it by " \
^~~~~~~
sklearn/linear_model/cd_fast.c: In function '__pyx_pf_7sklearn_12linear_model_7cd_fast_8enet_coordinate_descent':
sklearn/linear_model/cd_fast.c:4899:15: warning: assignment from incompatible pointer type [-Wincompatible-pointer-types]
__pyx_v_dot = cblas_sdot;
^
sklearn/linear_model/cd_fast.c:4908:16: warning: assignment from incompatible pointer type [-Wincompatible-pointer-types]
__pyx_v_axpy = cblas_saxpy;
^
sklearn/linear_model/cd_fast.c:4917:16: warning: assignment from incompatible pointer type [-Wincompatible-pointer-types]
__pyx_v_asum = cblas_sasum;
^
sklearn/linear_model/cd_fast.c: In function '__pyx_pf_7sklearn_12linear_model_7cd_fast_10enet_coordinate_descent':
sklearn/linear_model/cd_fast.c:6351:15: warning: assignment from incompatible pointer type [-Wincompatible-pointer-types]
__pyx_v_dot = cblas_ddot;
^
sklearn/linear_model/cd_fast.c:6360:16: warning: assignment from incompatible pointer type [-Wincompatible-pointer-types]
__pyx_v_axpy = cblas_daxpy;
^
sklearn/linear_model/cd_fast.c:6369:16: warning: assignment from incompatible pointer type [-Wincompatible-pointer-types]
__pyx_v_asum = cblas_dasum;
^
sklearn/linear_model/cd_fast.c: In function '__pyx_pf_7sklearn_12linear_model_7cd_fast_14sparse_enet_coordinate_descent':
sklearn/linear_model/cd_fast.c:8456:15: warning: assignment from incompatible pointer type [-Wincompatible-pointer-types]
__pyx_v_dot = cblas_sdot;
^
sklearn/linear_model/cd_fast.c:8465:16: warning: assignment from incompatible pointer type [-Wincompatible-pointer-types]
__pyx_v_asum = cblas_sasum;
^
sklearn/linear_model/cd_fast.c: In function '__pyx_pf_7sklearn_12linear_model_7cd_fast_16sparse_enet_coordinate_descent':
sklearn/linear_model/cd_fast.c:10450:15: warning: assignment from incompatible pointer type [-Wincompatible-pointer-types]
__pyx_v_dot = cblas_ddot;
^
sklearn/linear_model/cd_fast.c:10459:16: warning: assignment from incompatible pointer type [-Wincompatible-pointer-types]
__pyx_v_asum = cblas_dasum;
^
sklearn/linear_model/cd_fast.c: In function '__pyx_pf_7sklearn_12linear_model_7cd_fast_20enet_coordinate_descent_gram':
sklearn/linear_model/cd_fast.c:12805:15: warning: assignment from incompatible pointer type [-Wincompatible-pointer-types]
__pyx_v_dot = cblas_sdot;
^
sklearn/linear_model/cd_fast.c:12814:16: warning: assignment from incompatible pointer type [-Wincompatible-pointer-types]
__pyx_v_axpy = cblas_saxpy;
^
sklearn/linear_model/cd_fast.c:12823:16: warning: assignment from incompatible pointer type [-Wincompatible-pointer-types]
__pyx_v_asum = cblas_sasum;
^
sklearn/linear_model/cd_fast.c: In function '__pyx_pf_7sklearn_12linear_model_7cd_fast_22enet_coordinate_descent_gram':
sklearn/linear_model/cd_fast.c:14337:15: warning: assignment from incompatible pointer type [-Wincompatible-pointer-types]
__pyx_v_dot = cblas_ddot;
^
sklearn/linear_model/cd_fast.c:14346:16: warning: assignment from incompatible pointer type [-Wincompatible-pointer-types]
__pyx_v_axpy = cblas_daxpy;
^
sklearn/linear_model/cd_fast.c:14355:16: warning: assignment from incompatible pointer type [-Wincompatible-pointer-types]
__pyx_v_asum = cblas_dasum;
^
sklearn/linear_model/cd_fast.c: In function '__pyx_pf_7sklearn_12linear_model_7cd_fast_26enet_coordinate_descent_multi_task':
sklearn/linear_model/cd_fast.c:16352:15: warning: assignment from incompatible pointer type [-Wincompatible-pointer-types]
__pyx_v_dot = cblas_sdot;
^
sklearn/linear_model/cd_fast.c:16361:16: warning: assignment from incompatible pointer type [-Wincompatible-pointer-types]
__pyx_v_nrm2 = cblas_snrm2;
^
sklearn/linear_model/cd_fast.c:16370:16: warning: assignment from incompatible pointer type [-Wincompatible-pointer-types]
__pyx_v_asum = cblas_sasum;
^
sklearn/linear_model/cd_fast.c:16379:16: warning: assignment from incompatible pointer type [-Wincompatible-pointer-types]
__pyx_v_copy = cblas_scopy;
^
sklearn/linear_model/cd_fast.c:16397:15: warning: assignment from incompatible pointer type [-Wincompatible-pointer-types]
__pyx_v_ger = cblas_sger;
^
sklearn/linear_model/cd_fast.c:16406:16: warning: assignment from incompatible pointer type [-Wincompatible-pointer-types]
__pyx_v_gemv = cblas_sgemv;
^
sklearn/linear_model/cd_fast.c: In function '__pyx_pf_7sklearn_12linear_model_7cd_fast_28enet_coordinate_descent_multi_task':
sklearn/linear_model/cd_fast.c:18089:15: warning: assignment from incompatible pointer type [-Wincompatible-pointer-types]
__pyx_v_dot = cblas_ddot;
^
sklearn/linear_model/cd_fast.c:18098:16: warning: assignment from incompatible pointer type [-Wincompatible-pointer-types]
__pyx_v_nrm2 = cblas_dnrm2;
^
sklearn/linear_model/cd_fast.c:18107:16: warning: assignment from incompatible pointer type [-Wincompatible-pointer-types]
__pyx_v_asum = cblas_dasum;
^
sklearn/linear_model/cd_fast.c:18116:16: warning: assignment from incompatible pointer type [-Wincompatible-pointer-types]
__pyx_v_copy = cblas_dcopy;
^
sklearn/linear_model/cd_fast.c:18134:15: warning: assignment from incompatible pointer type [-Wincompatible-pointer-types]
__pyx_v_ger = cblas_dger;
^
sklearn/linear_model/cd_fast.c:18143:16: warning: assignment from incompatible pointer type [-Wincompatible-pointer-types]
__pyx_v_gemv = cblas_dgemv;
^
arm-linux-gnueabihf-gcc -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-z,relro -fno-strict-aliasing -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -Wdate-time -D_FORTIFY_SOURCE=2 -g -fdebug-prefix-map=/build/python2.7-tAnJG9/python2.7-2.7.15=. -fstack-protector-strong -Wformat -Werror=format-security -Wl,-z,relro -g -O2 -fdebug-prefix-map=/<<PKGBUILDDIR>>=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 build/temp.linux-armv8l-2.7/sklearn/linear_model/cd_fast.o -Lbuild/temp.linux-armv8l-2.7 -lcblas -lm -o build/lib.linux-armv8l-2.7/sklearn/linear_model/cd_fast.so
building 'sklearn.linear_model.sgd_fast' extension
compiling C sources
C compiler: arm-linux-gnueabihf-gcc -pthread -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -fno-strict-aliasing -g -O2 -fdebug-prefix-map=/<<PKGBUILDDIR>>=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC
compile options: '-Isklearn/linear_model -Isklearn/src/cblas -I/usr/lib/python2.7/dist-packages/numpy/core/include -I/usr/lib/python2.7/dist-packages/numpy/core/include -I/usr/include/python2.7 -c'
arm-linux-gnueabihf-gcc: sklearn/linear_model/sgd_fast.c
In file included from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarraytypes.h:1816:0,
from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarrayobject.h:18,
from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/arrayobject.h:4,
from sklearn/linear_model/sgd_fast.c:595:
/usr/lib/python2.7/dist-packages/numpy/core/include/numpy/npy_1_7_deprecated_api.h:15:2: warning: #warning "Using deprecated NumPy API, disable it by " "#defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp]
#warning "Using deprecated NumPy API, disable it by " \
^~~~~~~
arm-linux-gnueabihf-gcc -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-z,relro -fno-strict-aliasing -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -Wdate-time -D_FORTIFY_SOURCE=2 -g -fdebug-prefix-map=/build/python2.7-tAnJG9/python2.7-2.7.15=. -fstack-protector-strong -Wformat -Werror=format-security -Wl,-z,relro -g -O2 -fdebug-prefix-map=/<<PKGBUILDDIR>>=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 build/temp.linux-armv8l-2.7/sklearn/linear_model/sgd_fast.o -Lbuild/temp.linux-armv8l-2.7 -lcblas -lm -o build/lib.linux-armv8l-2.7/sklearn/linear_model/sgd_fast.so
building 'sklearn.linear_model.sag_fast' extension
compiling C sources
C compiler: arm-linux-gnueabihf-gcc -pthread -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -fno-strict-aliasing -g -O2 -fdebug-prefix-map=/<<PKGBUILDDIR>>=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC
compile options: '-Isklearn/linear_model -I/usr/lib/python2.7/dist-packages/numpy/core/include -I/usr/lib/python2.7/dist-packages/numpy/core/include -I/usr/include/python2.7 -c'
arm-linux-gnueabihf-gcc: sklearn/linear_model/sag_fast.c
In file included from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarraytypes.h:1816:0,
from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarrayobject.h:18,
from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/arrayobject.h:4,
from sklearn/linear_model/sag_fast.c:588:
/usr/lib/python2.7/dist-packages/numpy/core/include/numpy/npy_1_7_deprecated_api.h:15:2: warning: #warning "Using deprecated NumPy API, disable it by " "#defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp]
#warning "Using deprecated NumPy API, disable it by " \
^~~~~~~
arm-linux-gnueabihf-gcc -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-z,relro -fno-strict-aliasing -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -Wdate-time -D_FORTIFY_SOURCE=2 -g -fdebug-prefix-map=/build/python2.7-tAnJG9/python2.7-2.7.15=. -fstack-protector-strong -Wformat -Werror=format-security -Wl,-z,relro -g -O2 -fdebug-prefix-map=/<<PKGBUILDDIR>>=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 build/temp.linux-armv8l-2.7/sklearn/linear_model/sag_fast.o -Lbuild/temp.linux-armv8l-2.7 -o build/lib.linux-armv8l-2.7/sklearn/linear_model/sag_fast.so
building 'sklearn.utils.sparsefuncs_fast' extension
compiling C sources
C compiler: arm-linux-gnueabihf-gcc -pthread -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -fno-strict-aliasing -g -O2 -fdebug-prefix-map=/<<PKGBUILDDIR>>=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC
creating build/temp.linux-armv8l-2.7/sklearn/utils
compile options: '-I/usr/lib/python2.7/dist-packages/numpy/core/include -I/usr/include/python2.7 -c'
arm-linux-gnueabihf-gcc: sklearn/utils/sparsefuncs_fast.c
In file included from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarraytypes.h:1816:0,
from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarrayobject.h:18,
from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/arrayobject.h:4,
from sklearn/utils/sparsefuncs_fast.c:584:
/usr/lib/python2.7/dist-packages/numpy/core/include/numpy/npy_1_7_deprecated_api.h:15:2: warning: #warning "Using deprecated NumPy API, disable it by " "#defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp]
#warning "Using deprecated NumPy API, disable it by " \
^~~~~~~
arm-linux-gnueabihf-gcc -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-z,relro -fno-strict-aliasing -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -Wdate-time -D_FORTIFY_SOURCE=2 -g -fdebug-prefix-map=/build/python2.7-tAnJG9/python2.7-2.7.15=. -fstack-protector-strong -Wformat -Werror=format-security -Wl,-z,relro -g -O2 -fdebug-prefix-map=/<<PKGBUILDDIR>>=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 build/temp.linux-armv8l-2.7/sklearn/utils/sparsefuncs_fast.o -Lbuild/temp.linux-armv8l-2.7 -lm -o build/lib.linux-armv8l-2.7/sklearn/utils/sparsefuncs_fast.so
building 'sklearn.utils.arrayfuncs' extension
compiling C sources
C compiler: arm-linux-gnueabihf-gcc -pthread -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -fno-strict-aliasing -g -O2 -fdebug-prefix-map=/<<PKGBUILDDIR>>=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC
compile options: '-Isklearn/utils -Isklearn/src/cblas -I/usr/lib/python2.7/dist-packages/numpy/core/include -I/usr/lib/python2.7/dist-packages/numpy/core/include -I/usr/include/python2.7 -c'
arm-linux-gnueabihf-gcc: sklearn/utils/arrayfuncs.c
In file included from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarraytypes.h:1816:0,
from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarrayobject.h:18,
from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/arrayobject.h:4,
from sklearn/utils/arrayfuncs.c:593:
/usr/lib/python2.7/dist-packages/numpy/core/include/numpy/npy_1_7_deprecated_api.h:15:2: warning: #warning "Using deprecated NumPy API, disable it by " "#defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp]
#warning "Using deprecated NumPy API, disable it by " \
^~~~~~~
arm-linux-gnueabihf-gcc -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-z,relro -fno-strict-aliasing -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -Wdate-time -D_FORTIFY_SOURCE=2 -g -fdebug-prefix-map=/build/python2.7-tAnJG9/python2.7-2.7.15=. -fstack-protector-strong -Wformat -Werror=format-security -Wl,-z,relro -g -O2 -fdebug-prefix-map=/<<PKGBUILDDIR>>=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 build/temp.linux-armv8l-2.7/sklearn/utils/arrayfuncs.o -Lbuild/temp.linux-armv8l-2.7 -lcblas -lm -o build/lib.linux-armv8l-2.7/sklearn/utils/arrayfuncs.so
building 'sklearn.utils.murmurhash' extension
compiling C sources
C compiler: arm-linux-gnueabihf-gcc -pthread -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -fno-strict-aliasing -g -O2 -fdebug-prefix-map=/<<PKGBUILDDIR>>=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC
compile options: '-Isklearn/utils -Isklearn/utils/src -I/usr/lib/python2.7/dist-packages/numpy/core/include -I/usr/include/python2.7 -c'
arm-linux-gnueabihf-gcc: sklearn/utils/murmurhash.c
In file included from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarraytypes.h:1816:0,
from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarrayobject.h:18,
from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/arrayobject.h:4,
from sklearn/utils/murmurhash.c:587:
/usr/lib/python2.7/dist-packages/numpy/core/include/numpy/npy_1_7_deprecated_api.h:15:2: warning: #warning "Using deprecated NumPy API, disable it by " "#defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp]
#warning "Using deprecated NumPy API, disable it by " \
^~~~~~~
compiling C++ sources
C compiler: arm-linux-gnueabihf-g++ -pthread -DNDEBUG -g -fwrapv -O2 -Wall -fno-strict-aliasing -g -O2 -fdebug-prefix-map=/<<PKGBUILDDIR>>=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC
creating build/temp.linux-armv8l-2.7/sklearn/utils/src
compile options: '-Isklearn/utils -Isklearn/utils/src -I/usr/lib/python2.7/dist-packages/numpy/core/include -I/usr/include/python2.7 -c'
arm-linux-gnueabihf-g++: sklearn/utils/src/MurmurHash3.cpp
arm-linux-gnueabihf-g++ -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-z,relro -fno-strict-aliasing -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -Wdate-time -D_FORTIFY_SOURCE=2 -g -fdebug-prefix-map=/build/python2.7-tAnJG9/python2.7-2.7.15=. -fstack-protector-strong -Wformat -Werror=format-security -Wl,-z,relro -g -O2 -fdebug-prefix-map=/<<PKGBUILDDIR>>=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 build/temp.linux-armv8l-2.7/sklearn/utils/murmurhash.o build/temp.linux-armv8l-2.7/sklearn/utils/src/MurmurHash3.o -Lbuild/temp.linux-armv8l-2.7 -o build/lib.linux-armv8l-2.7/sklearn/utils/murmurhash.so
building 'sklearn.utils.lgamma' extension
compiling C sources
C compiler: arm-linux-gnueabihf-gcc -pthread -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -fno-strict-aliasing -g -O2 -fdebug-prefix-map=/<<PKGBUILDDIR>>=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC
compile options: '-Isklearn/utils -Isklearn/utils/src -I/usr/lib/python2.7/dist-packages/numpy/core/include -I/usr/include/python2.7 -c'
arm-linux-gnueabihf-gcc: sklearn/utils/lgamma.c
arm-linux-gnueabihf-gcc: sklearn/utils/src/gamma.c
arm-linux-gnueabihf-gcc -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-z,relro -fno-strict-aliasing -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -Wdate-time -D_FORTIFY_SOURCE=2 -g -fdebug-prefix-map=/build/python2.7-tAnJG9/python2.7-2.7.15=. -fstack-protector-strong -Wformat -Werror=format-security -Wl,-z,relro -g -O2 -fdebug-prefix-map=/<<PKGBUILDDIR>>=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 build/temp.linux-armv8l-2.7/sklearn/utils/lgamma.o build/temp.linux-armv8l-2.7/sklearn/utils/src/gamma.o -Lbuild/temp.linux-armv8l-2.7 -lm -o build/lib.linux-armv8l-2.7/sklearn/utils/lgamma.so
building 'sklearn.utils.graph_shortest_path' extension
compiling C sources
C compiler: arm-linux-gnueabihf-gcc -pthread -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -fno-strict-aliasing -g -O2 -fdebug-prefix-map=/<<PKGBUILDDIR>>=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC
compile options: '-I/usr/lib/python2.7/dist-packages/numpy/core/include -I/usr/lib/python2.7/dist-packages/numpy/core/include -I/usr/include/python2.7 -c'
arm-linux-gnueabihf-gcc: sklearn/utils/graph_shortest_path.c
In file included from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarraytypes.h:1816:0,
from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarrayobject.h:18,
from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/arrayobject.h:4,
from sklearn/utils/graph_shortest_path.c:586:
/usr/lib/python2.7/dist-packages/numpy/core/include/numpy/npy_1_7_deprecated_api.h:15:2: warning: #warning "Using deprecated NumPy API, disable it by " "#defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp]
#warning "Using deprecated NumPy API, disable it by " \
^~~~~~~
arm-linux-gnueabihf-gcc -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-z,relro -fno-strict-aliasing -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -Wdate-time -D_FORTIFY_SOURCE=2 -g -fdebug-prefix-map=/build/python2.7-tAnJG9/python2.7-2.7.15=. -fstack-protector-strong -Wformat -Werror=format-security -Wl,-z,relro -g -O2 -fdebug-prefix-map=/<<PKGBUILDDIR>>=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 build/temp.linux-armv8l-2.7/sklearn/utils/graph_shortest_path.o -Lbuild/temp.linux-armv8l-2.7 -o build/lib.linux-armv8l-2.7/sklearn/utils/graph_shortest_path.so
building 'sklearn.utils.fast_dict' extension
compiling C++ sources
C compiler: arm-linux-gnueabihf-g++ -pthread -DNDEBUG -g -fwrapv -O2 -Wall -fno-strict-aliasing -g -O2 -fdebug-prefix-map=/<<PKGBUILDDIR>>=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC
compile options: '-I/usr/lib/python2.7/dist-packages/numpy/core/include -I/usr/lib/python2.7/dist-packages/numpy/core/include -I/usr/include/python2.7 -c'
arm-linux-gnueabihf-g++: sklearn/utils/fast_dict.cpp
In file included from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarraytypes.h:1816:0,
from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarrayobject.h:18,
from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/arrayobject.h:4,
from sklearn/utils/fast_dict.cpp:610:
/usr/lib/python2.7/dist-packages/numpy/core/include/numpy/npy_1_7_deprecated_api.h:15:2: warning: #warning "Using deprecated NumPy API, disable it by " "#defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp]
#warning "Using deprecated NumPy API, disable it by " \
^~~~~~~
sklearn/utils/fast_dict.cpp: In function 'PyObject* __pyx_pw_7sklearn_5utils_9fast_dict_1argmin(PyObject*, PyObject*)':
sklearn/utils/fast_dict.cpp:25797:47: warning: '__pyx_v_min_key' may be used uninitialized in this function [-Wmaybe-uninitialized]
return PyInt_FromLong((long) value);
^
sklearn/utils/fast_dict.cpp:4495:46: note: '__pyx_v_min_key' was declared here
__pyx_t_7sklearn_5utils_9fast_dict_ITYPE_t __pyx_v_min_key;
^~~~~~~~~~~~~~~
In file included from /usr/include/c++/7/map:60:0,
from sklearn/utils/fast_dict.cpp:607:
/usr/include/c++/7/bits/stl_tree.h: In member function 'std::pair<std::_Rb_tree_node_base*, std::_Rb_tree_node_base*> std::_Rb_tree<_Key, _Val, _KeyOfValue, _Compare, _Alloc>::_M_get_insert_hint_unique_pos(std::_Rb_tree<_Key, _Val, _KeyOfValue, _Compare, _Alloc>::const_iterator, const key_type&) [with _Key = int; _Val = std::pair<const int, double>; _KeyOfValue = std::_Select1st<std::pair<const int, double> >; _Compare = std::less<int>; _Alloc = std::allocator<std::pair<const int, double> >]':
/usr/include/c++/7/bits/stl_tree.h:2130:5: note: parameter passing for argument of type 'std::_Rb_tree<int, std::pair<const int, double>, std::_Select1st<std::pair<const int, double> >, std::less<int>, std::allocator<std::pair<const int, double> > >::const_iterator {aka std::_Rb_tree_const_iterator<std::pair<const int, double> >}' changed in GCC 7.1
_Rb_tree<_Key, _Val, _KeyOfValue, _Compare, _Alloc>::
^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/include/c++/7/bits/stl_tree.h: In function 'std::_Rb_tree<_Key, _Val, _KeyOfValue, _Compare, _Alloc>::iterator std::_Rb_tree<_Key, _Val, _KeyOfValue, _Compare, _Alloc>::_M_emplace_hint_unique(std::_Rb_tree<_Key, _Val, _KeyOfValue, _Compare, _Alloc>::const_iterator, _Args&& ...) [with _Args = {const std::piecewise_construct_t&, std::tuple<const int&>, std::tuple<>}; _Key = int; _Val = std::pair<const int, double>; _KeyOfValue = std::_Select1st<std::pair<const int, double> >; _Compare = std::less<int>; _Alloc = std::allocator<std::pair<const int, double> >]':
/usr/include/c++/7/bits/stl_tree.h:2395:7: note: parameter passing for argument of type 'std::_Rb_tree<int, std::pair<const int, double>, std::_Select1st<std::pair<const int, double> >, std::less<int>, std::allocator<std::pair<const int, double> > >::const_iterator {aka std::_Rb_tree_const_iterator<std::pair<const int, double> >}' changed in GCC 7.1
_Rb_tree<_Key, _Val, _KeyOfValue, _Compare, _Alloc>::
^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
In file included from /usr/include/c++/7/map:61:0,
from sklearn/utils/fast_dict.cpp:607:
/usr/include/c++/7/bits/stl_map.h: In function 'int __pyx_pw_7sklearn_5utils_9fast_dict_12IntFloatDict_1__init__(PyObject*, PyObject*, PyObject*)':
/usr/include/c++/7/bits/stl_map.h:493:4: note: parameter passing for argument of type 'std::_Rb_tree<int, std::pair<const int, double>, std::_Select1st<std::pair<const int, double> >, std::less<int>, std::allocator<std::pair<const int, double> > >::const_iterator {aka std::_Rb_tree_const_iterator<std::pair<const int, double> >}' changed in GCC 7.1
__i = _M_t._M_emplace_hint_unique(__i, std::piecewise_construct,
^~~
/usr/include/c++/7/bits/stl_map.h: In function 'PyObject* __pyx_pw_7sklearn_5utils_9fast_dict_12IntFloatDict_14update(PyObject*, PyObject*)':
/usr/include/c++/7/bits/stl_map.h:493:4: note: parameter passing for argument of type 'std::_Rb_tree<int, std::pair<const int, double>, std::_Select1st<std::pair<const int, double> >, std::less<int>, std::allocator<std::pair<const int, double> > >::const_iterator {aka std::_Rb_tree_const_iterator<std::pair<const int, double> >}' changed in GCC 7.1
__i = _M_t._M_emplace_hint_unique(__i, std::piecewise_construct,
^~~
/usr/include/c++/7/bits/stl_map.h: In function 'int __pyx_mp_ass_subscript_7sklearn_5utils_9fast_dict_IntFloatDict(PyObject*, PyObject*, PyObject*)':
/usr/include/c++/7/bits/stl_map.h:493:4: note: parameter passing for argument of type 'std::_Rb_tree<int, std::pair<const int, double>, std::_Select1st<std::pair<const int, double> >, std::less<int>, std::allocator<std::pair<const int, double> > >::const_iterator {aka std::_Rb_tree_const_iterator<std::pair<const int, double> >}' changed in GCC 7.1
__i = _M_t._M_emplace_hint_unique(__i, std::piecewise_construct,
^~~
arm-linux-gnueabihf-g++ -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-z,relro -fno-strict-aliasing -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -Wdate-time -D_FORTIFY_SOURCE=2 -g -fdebug-prefix-map=/build/python2.7-tAnJG9/python2.7-2.7.15=. -fstack-protector-strong -Wformat -Werror=format-security -Wl,-z,relro -g -O2 -fdebug-prefix-map=/<<PKGBUILDDIR>>=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 build/temp.linux-armv8l-2.7/sklearn/utils/fast_dict.o -Lbuild/temp.linux-armv8l-2.7 -lm -o build/lib.linux-armv8l-2.7/sklearn/utils/fast_dict.so
building 'sklearn.utils.seq_dataset' extension
compiling C sources
C compiler: arm-linux-gnueabihf-gcc -pthread -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -fno-strict-aliasing -g -O2 -fdebug-prefix-map=/<<PKGBUILDDIR>>=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC
compile options: '-I/usr/lib/python2.7/dist-packages/numpy/core/include -I/usr/lib/python2.7/dist-packages/numpy/core/include -I/usr/include/python2.7 -c'
arm-linux-gnueabihf-gcc: sklearn/utils/seq_dataset.c
In file included from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarraytypes.h:1816:0,
from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarrayobject.h:18,
from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/arrayobject.h:4,
from sklearn/utils/seq_dataset.c:586:
/usr/lib/python2.7/dist-packages/numpy/core/include/numpy/npy_1_7_deprecated_api.h:15:2: warning: #warning "Using deprecated NumPy API, disable it by " "#defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp]
#warning "Using deprecated NumPy API, disable it by " \
^~~~~~~
arm-linux-gnueabihf-gcc -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-z,relro -fno-strict-aliasing -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -Wdate-time -D_FORTIFY_SOURCE=2 -g -fdebug-prefix-map=/build/python2.7-tAnJG9/python2.7-2.7.15=. -fstack-protector-strong -Wformat -Werror=format-security -Wl,-z,relro -g -O2 -fdebug-prefix-map=/<<PKGBUILDDIR>>=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 build/temp.linux-armv8l-2.7/sklearn/utils/seq_dataset.o -Lbuild/temp.linux-armv8l-2.7 -o build/lib.linux-armv8l-2.7/sklearn/utils/seq_dataset.so
building 'sklearn.utils.weight_vector' extension
compiling C sources
C compiler: arm-linux-gnueabihf-gcc -pthread -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -fno-strict-aliasing -g -O2 -fdebug-prefix-map=/<<PKGBUILDDIR>>=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC
compile options: '-Isklearn/src/cblas -I/usr/lib/python2.7/dist-packages/numpy/core/include -I/usr/lib/python2.7/dist-packages/numpy/core/include -I/usr/include/python2.7 -c'
arm-linux-gnueabihf-gcc: sklearn/utils/weight_vector.c
In file included from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarraytypes.h:1816:0,
from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarrayobject.h:18,
from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/arrayobject.h:4,
from sklearn/utils/weight_vector.c:592:
/usr/lib/python2.7/dist-packages/numpy/core/include/numpy/npy_1_7_deprecated_api.h:15:2: warning: #warning "Using deprecated NumPy API, disable it by " "#defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp]
#warning "Using deprecated NumPy API, disable it by " \
^~~~~~~
arm-linux-gnueabihf-gcc -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-z,relro -fno-strict-aliasing -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -Wdate-time -D_FORTIFY_SOURCE=2 -g -fdebug-prefix-map=/build/python2.7-tAnJG9/python2.7-2.7.15=. -fstack-protector-strong -Wformat -Werror=format-security -Wl,-z,relro -g -O2 -fdebug-prefix-map=/<<PKGBUILDDIR>>=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 build/temp.linux-armv8l-2.7/sklearn/utils/weight_vector.o -Lbuild/temp.linux-armv8l-2.7 -lcblas -lm -o build/lib.linux-armv8l-2.7/sklearn/utils/weight_vector.so
building 'sklearn.utils._random' extension
compiling C sources
C compiler: arm-linux-gnueabihf-gcc -pthread -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -fno-strict-aliasing -g -O2 -fdebug-prefix-map=/<<PKGBUILDDIR>>=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC
compile options: '-I/usr/lib/python2.7/dist-packages/numpy/core/include -I/usr/lib/python2.7/dist-packages/numpy/core/include -I/usr/include/python2.7 -c'
arm-linux-gnueabihf-gcc: sklearn/utils/_random.c
In file included from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarraytypes.h:1816:0,
from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarrayobject.h:18,
from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/arrayobject.h:4,
from sklearn/utils/_random.c:589:
/usr/lib/python2.7/dist-packages/numpy/core/include/numpy/npy_1_7_deprecated_api.h:15:2: warning: #warning "Using deprecated NumPy API, disable it by " "#defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp]
#warning "Using deprecated NumPy API, disable it by " \
^~~~~~~
arm-linux-gnueabihf-gcc -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-z,relro -fno-strict-aliasing -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -Wdate-time -D_FORTIFY_SOURCE=2 -g -fdebug-prefix-map=/build/python2.7-tAnJG9/python2.7-2.7.15=. -fstack-protector-strong -Wformat -Werror=format-security -Wl,-z,relro -g -O2 -fdebug-prefix-map=/<<PKGBUILDDIR>>=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 build/temp.linux-armv8l-2.7/sklearn/utils/_random.o -Lbuild/temp.linux-armv8l-2.7 -lm -o build/lib.linux-armv8l-2.7/sklearn/utils/_random.so
building 'sklearn.utils._logistic_sigmoid' extension
compiling C sources
C compiler: arm-linux-gnueabihf-gcc -pthread -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -fno-strict-aliasing -g -O2 -fdebug-prefix-map=/<<PKGBUILDDIR>>=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC
compile options: '-I/usr/lib/python2.7/dist-packages/numpy/core/include -I/usr/lib/python2.7/dist-packages/numpy/core/include -I/usr/include/python2.7 -c'
arm-linux-gnueabihf-gcc: sklearn/utils/_logistic_sigmoid.c
In file included from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarraytypes.h:1816:0,
from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarrayobject.h:18,
from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/arrayobject.h:4,
from sklearn/utils/_logistic_sigmoid.c:590:
/usr/lib/python2.7/dist-packages/numpy/core/include/numpy/npy_1_7_deprecated_api.h:15:2: warning: #warning "Using deprecated NumPy API, disable it by " "#defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp]
#warning "Using deprecated NumPy API, disable it by " \
^~~~~~~
arm-linux-gnueabihf-gcc -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-z,relro -fno-strict-aliasing -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -Wdate-time -D_FORTIFY_SOURCE=2 -g -fdebug-prefix-map=/build/python2.7-tAnJG9/python2.7-2.7.15=. -fstack-protector-strong -Wformat -Werror=format-security -Wl,-z,relro -g -O2 -fdebug-prefix-map=/<<PKGBUILDDIR>>=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 build/temp.linux-armv8l-2.7/sklearn/utils/_logistic_sigmoid.o -Lbuild/temp.linux-armv8l-2.7 -lm -o build/lib.linux-armv8l-2.7/sklearn/utils/_logistic_sigmoid.so
dh_auto_test -a -O--buildsystem=python_distutils
dh_auto_test: Please use the third-party "pybuild" build system instead of python-distutils
dh_auto_test: This feature will be removed in compat 12.
fakeroot debian/rules binary-arch
Traceback (most recent call last):
File "<string>", line 1, in <module>
ImportError: No module named sphinx
py3versions: no X-Python3-Version in control file, using supported versions
py3versions: no X-Python3-Version in control file, using supported versions
dpkg: error: --compare-versions takes three arguments: <version> <relation> <version>
Type dpkg --help for help about installing and deinstalling packages [*];
Use 'apt' or 'aptitude' for user-friendly package management;
Type dpkg -Dhelp for a list of dpkg debug flag values;
Type dpkg --force-help for a list of forcing options;
Type dpkg-deb --help for help about manipulating *.deb files;
Options marked [*] produce a lot of output - pipe it through 'less' or 'more' !
dpkg: error: --compare-versions takes three arguments: <version> <relation> <version>
Type dpkg --help for help about installing and deinstalling packages [*];
Use 'apt' or 'aptitude' for user-friendly package management;
Type dpkg -Dhelp for a list of dpkg debug flag values;
Type dpkg --force-help for a list of forcing options;
Type dpkg-deb --help for help about manipulating *.deb files;
Options marked [*] produce a lot of output - pipe it through 'less' or 'more' !
: # Explicit build system to avoid use of all-in-1 Makefile
dpkg: error: --compare-versions takes three arguments: <version> <relation> <version>
Type dpkg --help for help about installing and deinstalling packages [*];
Use 'apt' or 'aptitude' for user-friendly package management;
Type dpkg -Dhelp for a list of dpkg debug flag values;
Type dpkg --force-help for a list of forcing options;
Type dpkg-deb --help for help about manipulating *.deb files;
Options marked [*] produce a lot of output - pipe it through 'less' or 'more' !
dh binary-arch --buildsystem=python_distutils --with python2,python3,autoreconf
dh_testroot -a -O--buildsystem=python_distutils
dh_prep -a -O--buildsystem=python_distutils
debian/rules override_dh_auto_install
make[1]: Entering directory '/<<PKGBUILDDIR>>'
Traceback (most recent call last):
File "<string>", line 1, in <module>
ImportError: No module named sphinx
py3versions: no X-Python3-Version in control file, using supported versions
py3versions: no X-Python3-Version in control file, using supported versions
dpkg: error: --compare-versions takes three arguments: <version> <relation> <version>
Type dpkg --help for help about installing and deinstalling packages [*];
Use 'apt' or 'aptitude' for user-friendly package management;
Type dpkg -Dhelp for a list of dpkg debug flag values;
Type dpkg --force-help for a list of forcing options;
Type dpkg-deb --help for help about manipulating *.deb files;
Options marked [*] produce a lot of output - pipe it through 'less' or 'more' !
dpkg: error: --compare-versions takes three arguments: <version> <relation> <version>
Type dpkg --help for help about installing and deinstalling packages [*];
Use 'apt' or 'aptitude' for user-friendly package management;
Type dpkg -Dhelp for a list of dpkg debug flag values;
Type dpkg --force-help for a list of forcing options;
Type dpkg-deb --help for help about manipulating *.deb files;
Options marked [*] produce a lot of output - pipe it through 'less' or 'more' !
echo "2.7" | grep -q '^3' && PY=3 || PY= ; \
CYTHONVER=$(dpkg -l cython$PY 2>/dev/null | awk '/^ii/{print $3;}' || echo 0); \
dpkg --compare-versions "$CYTHONVER" lt "0.24" && { \
echo "I: Using pre-Cython-ed files for Python 2.7"; \
touch PKG-INFO; \
cd debian/cythonized-files$PY/ ; \
find . -regex '.*\.c\(\|pp\)' | while read f; do cp $f ../../$f; done; } || :
dpkg: error: --compare-versions takes three arguments: <version> <relation> <version>
Type dpkg --help for help about installing and deinstalling packages [*];
Use 'apt' or 'aptitude' for user-friendly package management;
Type dpkg -Dhelp for a list of dpkg debug flag values;
Type dpkg --force-help for a list of forcing options;
Type dpkg-deb --help for help about manipulating *.deb files;
Options marked [*] produce a lot of output - pipe it through 'less' or 'more' !
python2.7 setup.py install --install-layout=deb --root=/<<PKGBUILDDIR>>/debian/tmp
dpkg: error: --compare-versions takes three arguments: <version> <relation> <version>
Type dpkg --help for help about installing and deinstalling packages [*];
Use 'apt' or 'aptitude' for user-friendly package management;
Type dpkg -Dhelp for a list of dpkg debug flag values;
Type dpkg --force-help for a list of forcing options;
Type dpkg-deb --help for help about manipulating *.deb files;
Options marked [*] produce a lot of output - pipe it through 'less' or 'more' !
Partial import of sklearn during the build process.
blas_opt_info:
blas_mkl_info:
customize UnixCCompiler
libraries mkl_rt not found in ['/usr/local/lib', '/usr/lib', '/usr/lib/arm-linux-gnueabihf']
NOT AVAILABLE
blis_info:
customize UnixCCompiler
libraries blis not found in ['/usr/local/lib', '/usr/lib', '/usr/lib/arm-linux-gnueabihf']
NOT AVAILABLE
openblas_info:
customize UnixCCompiler
customize UnixCCompiler
libraries openblas not found in ['/usr/local/lib', '/usr/lib', '/usr/lib/arm-linux-gnueabihf']
NOT AVAILABLE
atlas_3_10_blas_threads_info:
Setting PTATLAS=ATLAS
customize UnixCCompiler
libraries tatlas not found in ['/usr/local/lib', '/usr/lib', '/usr/lib/arm-linux-gnueabihf/atlas', '/usr/lib/arm-linux-gnueabihf']
NOT AVAILABLE
atlas_3_10_blas_info:
customize UnixCCompiler
libraries satlas not found in ['/usr/local/lib', '/usr/lib', '/usr/lib/arm-linux-gnueabihf/atlas', '/usr/lib/arm-linux-gnueabihf']
NOT AVAILABLE
atlas_blas_threads_info:
Setting PTATLAS=ATLAS
customize UnixCCompiler
libraries ptf77blas,ptcblas,atlas not found in ['/usr/local/lib', '/usr/lib', '/usr/lib/arm-linux-gnueabihf/atlas', '/usr/lib/arm-linux-gnueabihf']
NOT AVAILABLE
atlas_blas_info:
customize UnixCCompiler
libraries f77blas,cblas,atlas not found in ['/usr/local/lib', '/usr/lib', '/usr/lib/arm-linux-gnueabihf/atlas', '/usr/lib/arm-linux-gnueabihf']
NOT AVAILABLE
/usr/lib/python2.7/dist-packages/numpy/distutils/system_info.py:624: UserWarning:
Atlas (http://math-atlas.sourceforge.net/) libraries not found.
Directories to search for the libraries can be specified in the
numpy/distutils/site.cfg file (section [atlas]) or by setting
the ATLAS environment variable.
self.calc_info()
blas_info:
customize UnixCCompiler
libraries blas not found in ['/usr/local/lib', '/usr/lib', '/usr/lib/arm-linux-gnueabihf']
NOT AVAILABLE
/usr/lib/python2.7/dist-packages/numpy/distutils/system_info.py:624: UserWarning:
Blas (http://www.netlib.org/blas/) libraries not found.
Directories to search for the libraries can be specified in the
numpy/distutils/site.cfg file (section [blas]) or by setting
the BLAS environment variable.
self.calc_info()
blas_src_info:
NOT AVAILABLE
/usr/lib/python2.7/dist-packages/numpy/distutils/system_info.py:624: UserWarning:
Blas (http://www.netlib.org/blas/) sources not found.
Directories to search for the sources can be specified in the
numpy/distutils/site.cfg file (section [blas_src]) or by setting
the BLAS_SRC environment variable.
self.calc_info()
NOT AVAILABLE
sklearn/setup.py:71: UserWarning:
Blas (http://www.netlib.org/blas/) libraries not found.
Directories to search for the libraries can be specified in the
numpy/distutils/site.cfg file (section [blas]) or by setting
the BLAS environment variable.
warnings.warn(BlasNotFoundError.__doc__)
sklearn/manifold/_barnes_hut_tsne.pyx: cannot find cimported module 'sklearn.neighbors'
running install
running build
running config_cc
unifing config_cc, config, build_clib, build_ext, build commands --compiler options
running config_fc
unifing config_fc, config, build_clib, build_ext, build commands --fcompiler options
running build_src
build_src
building library "libsvm-skl" sources
building library "cblas" sources
building extension "sklearn.__check_build._check_build" sources
building extension "sklearn.cluster._dbscan_inner" sources
building extension "sklearn.cluster._hierarchical" sources
building extension "sklearn.cluster._k_means_elkan" sources
building extension "sklearn.cluster._k_means" sources
building extension "sklearn.datasets._svmlight_format" sources
building extension "sklearn.decomposition._online_lda" sources
building extension "sklearn.decomposition.cdnmf_fast" sources
building extension "sklearn.ensemble._gradient_boosting" sources
building extension "sklearn.feature_extraction._hashing" sources
building extension "sklearn.manifold._utils" sources
building extension "sklearn.manifold._barnes_hut_tsne" sources
building extension "sklearn.metrics.cluster.expected_mutual_info_fast" sources
building extension "sklearn.metrics.pairwise_fast" sources
building extension "sklearn.neighbors.ball_tree" sources
building extension "sklearn.neighbors.kd_tree" sources
building extension "sklearn.neighbors.dist_metrics" sources
building extension "sklearn.neighbors.typedefs" sources
building extension "sklearn.neighbors.quad_tree" sources
building extension "sklearn.tree._tree" sources
building extension "sklearn.tree._splitter" sources
building extension "sklearn.tree._criterion" sources
building extension "sklearn.tree._utils" sources
building extension "sklearn.svm.libsvm" sources
building extension "sklearn.svm.liblinear" sources
building extension "sklearn.svm.libsvm_sparse" sources
building extension "sklearn._isotonic" sources
building extension "sklearn.linear_model.cd_fast" sources
building extension "sklearn.linear_model.sgd_fast" sources
building extension "sklearn.linear_model.sag_fast" sources
building extension "sklearn.utils.sparsefuncs_fast" sources
building extension "sklearn.utils.arrayfuncs" sources
building extension "sklearn.utils.murmurhash" sources
building extension "sklearn.utils.lgamma" sources
building extension "sklearn.utils.graph_shortest_path" sources
building extension "sklearn.utils.fast_dict" sources
building extension "sklearn.utils.seq_dataset" sources
building extension "sklearn.utils.weight_vector" sources
building extension "sklearn.utils._random" sources
building extension "sklearn.utils._logistic_sigmoid" sources
building data_files sources
build_src: building npy-pkg config files
running build_py
running build_clib
customize UnixCCompiler
customize UnixCCompiler using build_clib
running build_ext
customize UnixCCompiler
customize UnixCCompiler using build_ext
customize UnixCCompiler
customize UnixCCompiler using build_ext
running install_lib
creating /<<PKGBUILDDIR>>/debian/tmp
creating /<<PKGBUILDDIR>>/debian/tmp/usr
creating /<<PKGBUILDDIR>>/debian/tmp/usr/lib
creating /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7
creating /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages
creating /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn
creating /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests
copying build/lib.linux-armv8l-2.7/sklearn/tests/test_naive_bayes.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests
copying build/lib.linux-armv8l-2.7/sklearn/tests/test_grid_search.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests
copying build/lib.linux-armv8l-2.7/sklearn/tests/test_discriminant_analysis.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests
copying build/lib.linux-armv8l-2.7/sklearn/tests/test_common.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests
copying build/lib.linux-armv8l-2.7/sklearn/tests/test_init.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests
copying build/lib.linux-armv8l-2.7/sklearn/tests/test_isotonic.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests
copying build/lib.linux-armv8l-2.7/sklearn/tests/test_multioutput.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests
copying build/lib.linux-armv8l-2.7/sklearn/tests/test_kernel_ridge.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests
copying build/lib.linux-armv8l-2.7/sklearn/tests/test_config.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests
copying build/lib.linux-armv8l-2.7/sklearn/tests/test_docstring_parameters.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests
copying build/lib.linux-armv8l-2.7/sklearn/tests/test_multiclass.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests
copying build/lib.linux-armv8l-2.7/sklearn/tests/test_dummy.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests
copying build/lib.linux-armv8l-2.7/sklearn/tests/test_calibration.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests
copying build/lib.linux-armv8l-2.7/sklearn/tests/test_random_projection.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests
copying build/lib.linux-armv8l-2.7/sklearn/tests/__init__.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests
copying build/lib.linux-armv8l-2.7/sklearn/tests/test_base.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests
copying build/lib.linux-armv8l-2.7/sklearn/tests/test_cross_validation.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests
copying build/lib.linux-armv8l-2.7/sklearn/tests/test_kernel_approximation.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests
copying build/lib.linux-armv8l-2.7/sklearn/tests/test_metaestimators.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests
copying build/lib.linux-armv8l-2.7/sklearn/tests/test_pipeline.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests
copying build/lib.linux-armv8l-2.7/sklearn/tests/test_check_build.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests
copying build/lib.linux-armv8l-2.7/sklearn/tests/test_learning_curve.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests
creating /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/externals
copying build/lib.linux-armv8l-2.7/sklearn/externals/funcsigs.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/externals
copying build/lib.linux-armv8l-2.7/sklearn/externals/test_externals_setup.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/externals
copying build/lib.linux-armv8l-2.7/sklearn/externals/setup.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/externals
copying build/lib.linux-armv8l-2.7/sklearn/externals/__init__.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/externals
copying build/lib.linux-armv8l-2.7/sklearn/externals/six.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/externals
creating /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/externals/joblib
copying build/lib.linux-armv8l-2.7/sklearn/externals/joblib/__init__.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/externals/joblib
copying build/lib.linux-armv8l-2.7/sklearn/multiclass.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn
creating /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils
creating /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/tests
copying build/lib.linux-armv8l-2.7/sklearn/utils/tests/test_testing.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/tests
copying build/lib.linux-armv8l-2.7/sklearn/utils/tests/test_optimize.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/tests
copying build/lib.linux-armv8l-2.7/sklearn/utils/tests/test_random.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/tests
copying build/lib.linux-armv8l-2.7/sklearn/utils/tests/test_class_weight.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/tests
copying build/lib.linux-armv8l-2.7/sklearn/utils/tests/test_estimator_checks.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/tests
copying build/lib.linux-armv8l-2.7/sklearn/utils/tests/test_multiclass.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/tests
copying build/lib.linux-armv8l-2.7/sklearn/utils/tests/test_murmurhash.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/tests
copying build/lib.linux-armv8l-2.7/sklearn/utils/tests/test_fixes.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/tests
copying build/lib.linux-armv8l-2.7/sklearn/utils/tests/test_graph.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/tests
copying build/lib.linux-armv8l-2.7/sklearn/utils/tests/test_utils.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/tests
copying build/lib.linux-armv8l-2.7/sklearn/utils/tests/test_deprecation.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/tests
copying build/lib.linux-armv8l-2.7/sklearn/utils/tests/test_stats.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/tests
copying build/lib.linux-armv8l-2.7/sklearn/utils/tests/__init__.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/tests
copying build/lib.linux-armv8l-2.7/sklearn/utils/tests/test_seq_dataset.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/tests
copying build/lib.linux-armv8l-2.7/sklearn/utils/tests/test_metaestimators.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/tests
copying build/lib.linux-armv8l-2.7/sklearn/utils/tests/test_bench.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/tests
copying build/lib.linux-armv8l-2.7/sklearn/utils/tests/test_extmath.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/tests
copying build/lib.linux-armv8l-2.7/sklearn/utils/tests/test_sparsefuncs.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/tests
copying build/lib.linux-armv8l-2.7/sklearn/utils/tests/test_fast_dict.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/tests
copying build/lib.linux-armv8l-2.7/sklearn/utils/tests/test_shortest_path.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/tests
copying build/lib.linux-armv8l-2.7/sklearn/utils/tests/test_validation.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/tests
copying build/lib.linux-armv8l-2.7/sklearn/utils/tests/test_linear_assignment.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/tests
copying build/lib.linux-armv8l-2.7/sklearn/utils/random.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils
copying build/lib.linux-armv8l-2.7/sklearn/utils/multiclass.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils
copying build/lib.linux-armv8l-2.7/sklearn/utils/_logistic_sigmoid.so -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils
copying build/lib.linux-armv8l-2.7/sklearn/utils/murmurhash.so -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils
copying build/lib.linux-armv8l-2.7/sklearn/utils/testing.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils
copying build/lib.linux-armv8l-2.7/sklearn/utils/class_weight.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils
copying build/lib.linux-armv8l-2.7/sklearn/utils/_scipy_sparse_lsqr_backport.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils
copying build/lib.linux-armv8l-2.7/sklearn/utils/estimator_checks.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils
copying build/lib.linux-armv8l-2.7/sklearn/utils/graph_shortest_path.so -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils
copying build/lib.linux-armv8l-2.7/sklearn/utils/lgamma.so -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils
copying build/lib.linux-armv8l-2.7/sklearn/utils/graph.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils
copying build/lib.linux-armv8l-2.7/sklearn/utils/_random.so -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils
copying build/lib.linux-armv8l-2.7/sklearn/utils/deprecation.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils
copying build/lib.linux-armv8l-2.7/sklearn/utils/extmath.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils
copying build/lib.linux-armv8l-2.7/sklearn/utils/setup.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils
copying build/lib.linux-armv8l-2.7/sklearn/utils/validation.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils
copying build/lib.linux-armv8l-2.7/sklearn/utils/fixes.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils
copying build/lib.linux-armv8l-2.7/sklearn/utils/fast_dict.so -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils
copying build/lib.linux-armv8l-2.7/sklearn/utils/arpack.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils
copying build/lib.linux-armv8l-2.7/sklearn/utils/__init__.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils
copying build/lib.linux-armv8l-2.7/sklearn/utils/bench.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils
copying build/lib.linux-armv8l-2.7/sklearn/utils/sparsefuncs_fast.so -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils
copying build/lib.linux-armv8l-2.7/sklearn/utils/linear_assignment_.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils
copying build/lib.linux-armv8l-2.7/sklearn/utils/stats.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils
copying build/lib.linux-armv8l-2.7/sklearn/utils/metaestimators.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils
copying build/lib.linux-armv8l-2.7/sklearn/utils/arrayfuncs.so -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils
copying build/lib.linux-armv8l-2.7/sklearn/utils/weight_vector.so -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils
creating /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/sparsetools
creating /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/sparsetools/tests
copying build/lib.linux-armv8l-2.7/sklearn/utils/sparsetools/tests/__init__.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/sparsetools/tests
copying build/lib.linux-armv8l-2.7/sklearn/utils/sparsetools/setup.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/sparsetools
copying build/lib.linux-armv8l-2.7/sklearn/utils/sparsetools/__init__.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/sparsetools
copying build/lib.linux-armv8l-2.7/sklearn/utils/seq_dataset.so -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils
copying build/lib.linux-armv8l-2.7/sklearn/utils/sparsefuncs.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils
copying build/lib.linux-armv8l-2.7/sklearn/utils/mocking.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils
copying build/lib.linux-armv8l-2.7/sklearn/utils/optimize.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils
creating /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/datasets
copying build/lib.linux-armv8l-2.7/sklearn/datasets/california_housing.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/datasets
creating /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/datasets/tests
copying build/lib.linux-armv8l-2.7/sklearn/datasets/tests/test_20news.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/datasets/tests
copying build/lib.linux-armv8l-2.7/sklearn/datasets/tests/test_rcv1.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/datasets/tests
copying build/lib.linux-armv8l-2.7/sklearn/datasets/tests/__init__.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/datasets/tests
copying build/lib.linux-armv8l-2.7/sklearn/datasets/tests/test_base.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/datasets/tests
copying build/lib.linux-armv8l-2.7/sklearn/datasets/tests/test_svmlight_format.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/datasets/tests
copying build/lib.linux-armv8l-2.7/sklearn/datasets/tests/test_covtype.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/datasets/tests
copying build/lib.linux-armv8l-2.7/sklearn/datasets/tests/test_lfw.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/datasets/tests
copying build/lib.linux-armv8l-2.7/sklearn/datasets/tests/test_mldata.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/datasets/tests
copying build/lib.linux-armv8l-2.7/sklearn/datasets/tests/test_kddcup99.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/datasets/tests
copying build/lib.linux-armv8l-2.7/sklearn/datasets/tests/test_samples_generator.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/datasets/tests
copying build/lib.linux-armv8l-2.7/sklearn/datasets/samples_generator.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/datasets
copying build/lib.linux-armv8l-2.7/sklearn/datasets/kddcup99.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/datasets
copying build/lib.linux-armv8l-2.7/sklearn/datasets/base.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/datasets
copying build/lib.linux-armv8l-2.7/sklearn/datasets/species_distributions.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/datasets
copying build/lib.linux-armv8l-2.7/sklearn/datasets/svmlight_format.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/datasets
copying build/lib.linux-armv8l-2.7/sklearn/datasets/_svmlight_format.so -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/datasets
copying build/lib.linux-armv8l-2.7/sklearn/datasets/rcv1.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/datasets
copying build/lib.linux-armv8l-2.7/sklearn/datasets/mlcomp.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/datasets
copying build/lib.linux-armv8l-2.7/sklearn/datasets/twenty_newsgroups.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/datasets
copying build/lib.linux-armv8l-2.7/sklearn/datasets/setup.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/datasets
copying build/lib.linux-armv8l-2.7/sklearn/datasets/covtype.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/datasets
copying build/lib.linux-armv8l-2.7/sklearn/datasets/mldata.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/datasets
copying build/lib.linux-armv8l-2.7/sklearn/datasets/__init__.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/datasets
copying build/lib.linux-armv8l-2.7/sklearn/datasets/lfw.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/datasets
copying build/lib.linux-armv8l-2.7/sklearn/datasets/olivetti_faces.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/datasets
creating /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/__check_build
copying build/lib.linux-armv8l-2.7/sklearn/__check_build/setup.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/__check_build
copying build/lib.linux-armv8l-2.7/sklearn/__check_build/__init__.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/__check_build
copying build/lib.linux-armv8l-2.7/sklearn/__check_build/_check_build.so -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/__check_build
copying build/lib.linux-armv8l-2.7/sklearn/base.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn
creating /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/svm
creating /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/svm/tests
copying build/lib.linux-armv8l-2.7/sklearn/svm/tests/test_svm.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/svm/tests
copying build/lib.linux-armv8l-2.7/sklearn/svm/tests/test_bounds.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/svm/tests
copying build/lib.linux-armv8l-2.7/sklearn/svm/tests/__init__.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/svm/tests
copying build/lib.linux-armv8l-2.7/sklearn/svm/tests/test_sparse.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/svm/tests
copying build/lib.linux-armv8l-2.7/sklearn/svm/libsvm.so -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/svm
copying build/lib.linux-armv8l-2.7/sklearn/svm/base.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/svm
copying build/lib.linux-armv8l-2.7/sklearn/svm/libsvm_sparse.so -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/svm
copying build/lib.linux-armv8l-2.7/sklearn/svm/classes.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/svm
copying build/lib.linux-armv8l-2.7/sklearn/svm/setup.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/svm
copying build/lib.linux-armv8l-2.7/sklearn/svm/liblinear.so -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/svm
copying build/lib.linux-armv8l-2.7/sklearn/svm/__init__.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/svm
copying build/lib.linux-armv8l-2.7/sklearn/svm/bounds.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/svm
creating /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/semi_supervised
creating /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/semi_supervised/tests
copying build/lib.linux-armv8l-2.7/sklearn/semi_supervised/tests/test_label_propagation.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/semi_supervised/tests
copying build/lib.linux-armv8l-2.7/sklearn/semi_supervised/tests/__init__.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/semi_supervised/tests
copying build/lib.linux-armv8l-2.7/sklearn/semi_supervised/label_propagation.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/semi_supervised
copying build/lib.linux-armv8l-2.7/sklearn/semi_supervised/__init__.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/semi_supervised
creating /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/decomposition
creating /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/decomposition/tests
copying build/lib.linux-armv8l-2.7/sklearn/decomposition/tests/test_pca.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/decomposition/tests
copying build/lib.linux-armv8l-2.7/sklearn/decomposition/tests/test_kernel_pca.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/decomposition/tests
copying build/lib.linux-armv8l-2.7/sklearn/decomposition/tests/test_dict_learning.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/decomposition/tests
copying build/lib.linux-armv8l-2.7/sklearn/decomposition/tests/test_incremental_pca.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/decomposition/tests
copying build/lib.linux-armv8l-2.7/sklearn/decomposition/tests/test_online_lda.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/decomposition/tests
copying build/lib.linux-armv8l-2.7/sklearn/decomposition/tests/test_factor_analysis.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/decomposition/tests
copying build/lib.linux-armv8l-2.7/sklearn/decomposition/tests/test_sparse_pca.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/decomposition/tests
copying build/lib.linux-armv8l-2.7/sklearn/decomposition/tests/__init__.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/decomposition/tests
copying build/lib.linux-armv8l-2.7/sklearn/decomposition/tests/test_truncated_svd.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/decomposition/tests
copying build/lib.linux-armv8l-2.7/sklearn/decomposition/tests/test_fastica.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/decomposition/tests
copying build/lib.linux-armv8l-2.7/sklearn/decomposition/tests/test_nmf.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/decomposition/tests
copying build/lib.linux-armv8l-2.7/sklearn/decomposition/base.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/decomposition
copying build/lib.linux-armv8l-2.7/sklearn/decomposition/pca.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/decomposition
copying build/lib.linux-armv8l-2.7/sklearn/decomposition/truncated_svd.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/decomposition
copying build/lib.linux-armv8l-2.7/sklearn/decomposition/fastica_.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/decomposition
copying build/lib.linux-armv8l-2.7/sklearn/decomposition/setup.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/decomposition
copying build/lib.linux-armv8l-2.7/sklearn/decomposition/online_lda.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/decomposition
copying build/lib.linux-armv8l-2.7/sklearn/decomposition/dict_learning.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/decomposition
copying build/lib.linux-armv8l-2.7/sklearn/decomposition/factor_analysis.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/decomposition
copying build/lib.linux-armv8l-2.7/sklearn/decomposition/kernel_pca.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/decomposition
copying build/lib.linux-armv8l-2.7/sklearn/decomposition/nmf.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/decomposition
copying build/lib.linux-armv8l-2.7/sklearn/decomposition/__init__.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/decomposition
copying build/lib.linux-armv8l-2.7/sklearn/decomposition/cdnmf_fast.so -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/decomposition
copying build/lib.linux-armv8l-2.7/sklearn/decomposition/incremental_pca.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/decomposition
copying build/lib.linux-armv8l-2.7/sklearn/decomposition/sparse_pca.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/decomposition
copying build/lib.linux-armv8l-2.7/sklearn/decomposition/_online_lda.so -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/decomposition
creating /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/feature_selection
creating /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/feature_selection/tests
copying build/lib.linux-armv8l-2.7/sklearn/feature_selection/tests/test_variance_threshold.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/feature_selection/tests
copying build/lib.linux-armv8l-2.7/sklearn/feature_selection/tests/test_feature_select.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/feature_selection/tests
copying build/lib.linux-armv8l-2.7/sklearn/feature_selection/tests/test_from_model.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/feature_selection/tests
copying build/lib.linux-armv8l-2.7/sklearn/feature_selection/tests/test_mutual_info.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/feature_selection/tests
copying build/lib.linux-armv8l-2.7/sklearn/feature_selection/tests/test_chi2.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/feature_selection/tests
copying build/lib.linux-armv8l-2.7/sklearn/feature_selection/tests/__init__.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/feature_selection/tests
copying build/lib.linux-armv8l-2.7/sklearn/feature_selection/tests/test_base.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/feature_selection/tests
copying build/lib.linux-armv8l-2.7/sklearn/feature_selection/tests/test_rfe.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/feature_selection/tests
copying build/lib.linux-armv8l-2.7/sklearn/feature_selection/rfe.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/feature_selection
copying build/lib.linux-armv8l-2.7/sklearn/feature_selection/base.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/feature_selection
copying build/lib.linux-armv8l-2.7/sklearn/feature_selection/univariate_selection.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/feature_selection
copying build/lib.linux-armv8l-2.7/sklearn/feature_selection/__init__.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/feature_selection
copying build/lib.linux-armv8l-2.7/sklearn/feature_selection/from_model.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/feature_selection
copying build/lib.linux-armv8l-2.7/sklearn/feature_selection/variance_threshold.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/feature_selection
copying build/lib.linux-armv8l-2.7/sklearn/feature_selection/mutual_info_.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/feature_selection
copying build/lib.linux-armv8l-2.7/sklearn/cross_validation.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn
creating /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/_build_utils
copying build/lib.linux-armv8l-2.7/sklearn/_build_utils/__init__.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/_build_utils
copying build/lib.linux-armv8l-2.7/sklearn/naive_bayes.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn
creating /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/model_selection
creating /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/model_selection/tests
copying build/lib.linux-armv8l-2.7/sklearn/model_selection/tests/common.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/model_selection/tests
copying build/lib.linux-armv8l-2.7/sklearn/model_selection/tests/test_search.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/model_selection/tests
copying build/lib.linux-armv8l-2.7/sklearn/model_selection/tests/test_split.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/model_selection/tests
copying build/lib.linux-armv8l-2.7/sklearn/model_selection/tests/__init__.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/model_selection/tests
copying build/lib.linux-armv8l-2.7/sklearn/model_selection/tests/test_validation.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/model_selection/tests
copying build/lib.linux-armv8l-2.7/sklearn/model_selection/_search.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/model_selection
copying build/lib.linux-armv8l-2.7/sklearn/model_selection/_validation.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/model_selection
copying build/lib.linux-armv8l-2.7/sklearn/model_selection/__init__.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/model_selection
copying build/lib.linux-armv8l-2.7/sklearn/model_selection/_split.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/model_selection
creating /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/linear_model
creating /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/linear_model/tests
copying build/lib.linux-armv8l-2.7/sklearn/linear_model/tests/test_randomized_l1.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/linear_model/tests
copying build/lib.linux-armv8l-2.7/sklearn/linear_model/tests/test_sparse_coordinate_descent.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/linear_model/tests
copying build/lib.linux-armv8l-2.7/sklearn/linear_model/tests/test_huber.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/linear_model/tests
copying build/lib.linux-armv8l-2.7/sklearn/linear_model/tests/test_passive_aggressive.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/linear_model/tests
copying build/lib.linux-armv8l-2.7/sklearn/linear_model/tests/test_ransac.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/linear_model/tests
copying build/lib.linux-armv8l-2.7/sklearn/linear_model/tests/test_bayes.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/linear_model/tests
copying build/lib.linux-armv8l-2.7/sklearn/linear_model/tests/test_theil_sen.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/linear_model/tests
copying build/lib.linux-armv8l-2.7/sklearn/linear_model/tests/test_logistic.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/linear_model/tests
copying build/lib.linux-armv8l-2.7/sklearn/linear_model/tests/test_perceptron.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/linear_model/tests
copying build/lib.linux-armv8l-2.7/sklearn/linear_model/tests/test_omp.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/linear_model/tests
copying build/lib.linux-armv8l-2.7/sklearn/linear_model/tests/__init__.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/linear_model/tests
copying build/lib.linux-armv8l-2.7/sklearn/linear_model/tests/test_base.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/linear_model/tests
copying build/lib.linux-armv8l-2.7/sklearn/linear_model/tests/test_sag.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/linear_model/tests
copying build/lib.linux-armv8l-2.7/sklearn/linear_model/tests/test_sgd.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/linear_model/tests
copying build/lib.linux-armv8l-2.7/sklearn/linear_model/tests/test_ridge.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/linear_model/tests
copying build/lib.linux-armv8l-2.7/sklearn/linear_model/tests/test_least_angle.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/linear_model/tests
copying build/lib.linux-armv8l-2.7/sklearn/linear_model/tests/test_coordinate_descent.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/linear_model/tests
copying build/lib.linux-armv8l-2.7/sklearn/linear_model/logistic.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/linear_model
copying build/lib.linux-armv8l-2.7/sklearn/linear_model/bayes.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/linear_model
copying build/lib.linux-armv8l-2.7/sklearn/linear_model/omp.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/linear_model
copying build/lib.linux-armv8l-2.7/sklearn/linear_model/sag.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/linear_model
copying build/lib.linux-armv8l-2.7/sklearn/linear_model/perceptron.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/linear_model
copying build/lib.linux-armv8l-2.7/sklearn/linear_model/base.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/linear_model
copying build/lib.linux-armv8l-2.7/sklearn/linear_model/cd_fast.so -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/linear_model
copying build/lib.linux-armv8l-2.7/sklearn/linear_model/randomized_l1.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/linear_model
copying build/lib.linux-armv8l-2.7/sklearn/linear_model/ridge.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/linear_model
copying build/lib.linux-armv8l-2.7/sklearn/linear_model/ransac.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/linear_model
copying build/lib.linux-armv8l-2.7/sklearn/linear_model/setup.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/linear_model
copying build/lib.linux-armv8l-2.7/sklearn/linear_model/passive_aggressive.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/linear_model
copying build/lib.linux-armv8l-2.7/sklearn/linear_model/sgd_fast.so -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/linear_model
copying build/lib.linux-armv8l-2.7/sklearn/linear_model/coordinate_descent.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/linear_model
copying build/lib.linux-armv8l-2.7/sklearn/linear_model/stochastic_gradient.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/linear_model
copying build/lib.linux-armv8l-2.7/sklearn/linear_model/__init__.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/linear_model
copying build/lib.linux-armv8l-2.7/sklearn/linear_model/sag_fast.so -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/linear_model
copying build/lib.linux-armv8l-2.7/sklearn/linear_model/huber.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/linear_model
copying build/lib.linux-armv8l-2.7/sklearn/linear_model/theil_sen.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/linear_model
copying build/lib.linux-armv8l-2.7/sklearn/linear_model/least_angle.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/linear_model
creating /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/metrics
creating /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/metrics/tests
copying build/lib.linux-armv8l-2.7/sklearn/metrics/tests/test_common.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/metrics/tests
copying build/lib.linux-armv8l-2.7/sklearn/metrics/tests/test_regression.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/metrics/tests
copying build/lib.linux-armv8l-2.7/sklearn/metrics/tests/test_score_objects.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/metrics/tests
copying build/lib.linux-armv8l-2.7/sklearn/metrics/tests/test_ranking.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/metrics/tests
copying build/lib.linux-armv8l-2.7/sklearn/metrics/tests/test_classification.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/metrics/tests
copying build/lib.linux-armv8l-2.7/sklearn/metrics/tests/__init__.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/metrics/tests
copying build/lib.linux-armv8l-2.7/sklearn/metrics/tests/test_pairwise.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/metrics/tests
copying build/lib.linux-armv8l-2.7/sklearn/metrics/regression.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/metrics
copying build/lib.linux-armv8l-2.7/sklearn/metrics/base.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/metrics
copying build/lib.linux-armv8l-2.7/sklearn/metrics/pairwise.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/metrics
copying build/lib.linux-armv8l-2.7/sklearn/metrics/setup.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/metrics
copying build/lib.linux-armv8l-2.7/sklearn/metrics/ranking.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/metrics
creating /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/metrics/cluster
creating /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/metrics/cluster/tests
copying build/lib.linux-armv8l-2.7/sklearn/metrics/cluster/tests/test_supervised.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/metrics/cluster/tests
copying build/lib.linux-armv8l-2.7/sklearn/metrics/cluster/tests/__init__.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/metrics/cluster/tests
copying build/lib.linux-armv8l-2.7/sklearn/metrics/cluster/tests/test_unsupervised.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/metrics/cluster/tests
copying build/lib.linux-armv8l-2.7/sklearn/metrics/cluster/tests/test_bicluster.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/metrics/cluster/tests
copying build/lib.linux-armv8l-2.7/sklearn/metrics/cluster/unsupervised.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/metrics/cluster
copying build/lib.linux-armv8l-2.7/sklearn/metrics/cluster/expected_mutual_info_fast.so -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/metrics/cluster
copying build/lib.linux-armv8l-2.7/sklearn/metrics/cluster/setup.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/metrics/cluster
copying build/lib.linux-armv8l-2.7/sklearn/metrics/cluster/bicluster.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/metrics/cluster
copying build/lib.linux-armv8l-2.7/sklearn/metrics/cluster/__init__.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/metrics/cluster
copying build/lib.linux-armv8l-2.7/sklearn/metrics/cluster/supervised.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/metrics/cluster
copying build/lib.linux-armv8l-2.7/sklearn/metrics/scorer.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/metrics
copying build/lib.linux-armv8l-2.7/sklearn/metrics/__init__.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/metrics
copying build/lib.linux-armv8l-2.7/sklearn/metrics/classification.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/metrics
copying build/lib.linux-armv8l-2.7/sklearn/metrics/pairwise_fast.so -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/metrics
creating /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/neighbors
creating /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/neighbors/tests
copying build/lib.linux-armv8l-2.7/sklearn/neighbors/tests/test_kd_tree.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/neighbors/tests
copying build/lib.linux-armv8l-2.7/sklearn/neighbors/tests/test_kde.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/neighbors/tests
copying build/lib.linux-armv8l-2.7/sklearn/neighbors/tests/test_dist_metrics.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/neighbors/tests
copying build/lib.linux-armv8l-2.7/sklearn/neighbors/tests/test_neighbors.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/neighbors/tests
copying build/lib.linux-armv8l-2.7/sklearn/neighbors/tests/test_nearest_centroid.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/neighbors/tests
copying build/lib.linux-armv8l-2.7/sklearn/neighbors/tests/__init__.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/neighbors/tests
copying build/lib.linux-armv8l-2.7/sklearn/neighbors/tests/test_lof.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/neighbors/tests
copying build/lib.linux-armv8l-2.7/sklearn/neighbors/tests/test_quad_tree.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/neighbors/tests
copying build/lib.linux-armv8l-2.7/sklearn/neighbors/tests/test_ball_tree.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/neighbors/tests
copying build/lib.linux-armv8l-2.7/sklearn/neighbors/tests/test_approximate.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/neighbors/tests
copying build/lib.linux-armv8l-2.7/sklearn/neighbors/unsupervised.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/neighbors
copying build/lib.linux-armv8l-2.7/sklearn/neighbors/regression.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/neighbors
copying build/lib.linux-armv8l-2.7/sklearn/neighbors/base.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/neighbors
copying build/lib.linux-armv8l-2.7/sklearn/neighbors/kd_tree.so -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/neighbors
copying build/lib.linux-armv8l-2.7/sklearn/neighbors/typedefs.so -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/neighbors
copying build/lib.linux-armv8l-2.7/sklearn/neighbors/quad_tree.so -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/neighbors
copying build/lib.linux-armv8l-2.7/sklearn/neighbors/graph.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/neighbors
copying build/lib.linux-armv8l-2.7/sklearn/neighbors/kde.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/neighbors
copying build/lib.linux-armv8l-2.7/sklearn/neighbors/setup.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/neighbors
copying build/lib.linux-armv8l-2.7/sklearn/neighbors/nearest_centroid.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/neighbors
copying build/lib.linux-armv8l-2.7/sklearn/neighbors/lof.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/neighbors
copying build/lib.linux-armv8l-2.7/sklearn/neighbors/__init__.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/neighbors
copying build/lib.linux-armv8l-2.7/sklearn/neighbors/ball_tree.so -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/neighbors
copying build/lib.linux-armv8l-2.7/sklearn/neighbors/dist_metrics.so -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/neighbors
copying build/lib.linux-armv8l-2.7/sklearn/neighbors/approximate.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/neighbors
copying build/lib.linux-armv8l-2.7/sklearn/neighbors/classification.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/neighbors
copying build/lib.linux-armv8l-2.7/sklearn/setup.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn
copying build/lib.linux-armv8l-2.7/sklearn/random_projection.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn
creating /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/manifold
creating /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/manifold/tests
copying build/lib.linux-armv8l-2.7/sklearn/manifold/tests/test_spectral_embedding.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/manifold/tests
copying build/lib.linux-armv8l-2.7/sklearn/manifold/tests/test_mds.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/manifold/tests
copying build/lib.linux-armv8l-2.7/sklearn/manifold/tests/test_isomap.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/manifold/tests
copying build/lib.linux-armv8l-2.7/sklearn/manifold/tests/__init__.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/manifold/tests
copying build/lib.linux-armv8l-2.7/sklearn/manifold/tests/test_locally_linear.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/manifold/tests
copying build/lib.linux-armv8l-2.7/sklearn/manifold/tests/test_t_sne.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/manifold/tests
copying build/lib.linux-armv8l-2.7/sklearn/manifold/spectral_embedding_.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/manifold
copying build/lib.linux-armv8l-2.7/sklearn/manifold/isomap.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/manifold
copying build/lib.linux-armv8l-2.7/sklearn/manifold/locally_linear.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/manifold
copying build/lib.linux-armv8l-2.7/sklearn/manifold/_barnes_hut_tsne.so -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/manifold
copying build/lib.linux-armv8l-2.7/sklearn/manifold/setup.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/manifold
copying build/lib.linux-armv8l-2.7/sklearn/manifold/__init__.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/manifold
copying build/lib.linux-armv8l-2.7/sklearn/manifold/_utils.so -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/manifold
copying build/lib.linux-armv8l-2.7/sklearn/manifold/mds.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/manifold
copying build/lib.linux-armv8l-2.7/sklearn/manifold/t_sne.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/manifold
creating /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cross_decomposition
creating /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cross_decomposition/tests
copying build/lib.linux-armv8l-2.7/sklearn/cross_decomposition/tests/__init__.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cross_decomposition/tests
copying build/lib.linux-armv8l-2.7/sklearn/cross_decomposition/tests/test_pls.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cross_decomposition/tests
copying build/lib.linux-armv8l-2.7/sklearn/cross_decomposition/pls_.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cross_decomposition
copying build/lib.linux-armv8l-2.7/sklearn/cross_decomposition/__init__.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cross_decomposition
copying build/lib.linux-armv8l-2.7/sklearn/cross_decomposition/cca_.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cross_decomposition
creating /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster
creating /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/tests
copying build/lib.linux-armv8l-2.7/sklearn/cluster/tests/common.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/tests
copying build/lib.linux-armv8l-2.7/sklearn/cluster/tests/test_spectral.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/tests
copying build/lib.linux-armv8l-2.7/sklearn/cluster/tests/test_dbscan.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/tests
copying build/lib.linux-armv8l-2.7/sklearn/cluster/tests/test_hierarchical.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/tests
copying build/lib.linux-armv8l-2.7/sklearn/cluster/tests/__init__.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/tests
copying build/lib.linux-armv8l-2.7/sklearn/cluster/tests/test_affinity_propagation.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/tests
copying build/lib.linux-armv8l-2.7/sklearn/cluster/tests/test_bicluster.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/tests
copying build/lib.linux-armv8l-2.7/sklearn/cluster/tests/test_k_means.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/tests
copying build/lib.linux-armv8l-2.7/sklearn/cluster/tests/test_birch.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/tests
copying build/lib.linux-armv8l-2.7/sklearn/cluster/tests/test_mean_shift.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/tests
copying build/lib.linux-armv8l-2.7/sklearn/cluster/k_means_.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster
copying build/lib.linux-armv8l-2.7/sklearn/cluster/mean_shift_.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster
copying build/lib.linux-armv8l-2.7/sklearn/cluster/spectral.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster
copying build/lib.linux-armv8l-2.7/sklearn/cluster/dbscan_.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster
copying build/lib.linux-armv8l-2.7/sklearn/cluster/birch.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster
copying build/lib.linux-armv8l-2.7/sklearn/cluster/_dbscan_inner.so -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster
copying build/lib.linux-armv8l-2.7/sklearn/cluster/affinity_propagation_.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster
copying build/lib.linux-armv8l-2.7/sklearn/cluster/_hierarchical.so -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster
copying build/lib.linux-armv8l-2.7/sklearn/cluster/_k_means_elkan.so -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster
copying build/lib.linux-armv8l-2.7/sklearn/cluster/setup.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster
copying build/lib.linux-armv8l-2.7/sklearn/cluster/bicluster.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster
copying build/lib.linux-armv8l-2.7/sklearn/cluster/hierarchical.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster
copying build/lib.linux-armv8l-2.7/sklearn/cluster/__init__.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster
copying build/lib.linux-armv8l-2.7/sklearn/cluster/_k_means.so -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster
copying build/lib.linux-armv8l-2.7/sklearn/cluster/_feature_agglomeration.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster
copying build/lib.linux-armv8l-2.7/sklearn/multioutput.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn
copying build/lib.linux-armv8l-2.7/sklearn/kernel_ridge.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn
copying build/lib.linux-armv8l-2.7/sklearn/learning_curve.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn
creating /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/neural_network
creating /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/neural_network/tests
copying build/lib.linux-armv8l-2.7/sklearn/neural_network/tests/test_rbm.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/neural_network/tests
copying build/lib.linux-armv8l-2.7/sklearn/neural_network/tests/__init__.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/neural_network/tests
copying build/lib.linux-armv8l-2.7/sklearn/neural_network/tests/test_stochastic_optimizers.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/neural_network/tests
copying build/lib.linux-armv8l-2.7/sklearn/neural_network/tests/test_mlp.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/neural_network/tests
copying build/lib.linux-armv8l-2.7/sklearn/neural_network/_base.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/neural_network
copying build/lib.linux-armv8l-2.7/sklearn/neural_network/rbm.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/neural_network
copying build/lib.linux-armv8l-2.7/sklearn/neural_network/multilayer_perceptron.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/neural_network
copying build/lib.linux-armv8l-2.7/sklearn/neural_network/__init__.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/neural_network
copying build/lib.linux-armv8l-2.7/sklearn/neural_network/_stochastic_optimizers.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/neural_network
copying build/lib.linux-armv8l-2.7/sklearn/isotonic.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn
creating /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/feature_extraction
creating /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/feature_extraction/tests
copying build/lib.linux-armv8l-2.7/sklearn/feature_extraction/tests/test_feature_hasher.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/feature_extraction/tests
copying build/lib.linux-armv8l-2.7/sklearn/feature_extraction/tests/test_dict_vectorizer.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/feature_extraction/tests
copying build/lib.linux-armv8l-2.7/sklearn/feature_extraction/tests/__init__.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/feature_extraction/tests
copying build/lib.linux-armv8l-2.7/sklearn/feature_extraction/tests/test_text.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/feature_extraction/tests
copying build/lib.linux-armv8l-2.7/sklearn/feature_extraction/tests/test_image.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/feature_extraction/tests
copying build/lib.linux-armv8l-2.7/sklearn/feature_extraction/text.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/feature_extraction
copying build/lib.linux-armv8l-2.7/sklearn/feature_extraction/setup.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/feature_extraction
copying build/lib.linux-armv8l-2.7/sklearn/feature_extraction/dict_vectorizer.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/feature_extraction
copying build/lib.linux-armv8l-2.7/sklearn/feature_extraction/hashing.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/feature_extraction
copying build/lib.linux-armv8l-2.7/sklearn/feature_extraction/__init__.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/feature_extraction
copying build/lib.linux-armv8l-2.7/sklearn/feature_extraction/image.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/feature_extraction
copying build/lib.linux-armv8l-2.7/sklearn/feature_extraction/_hashing.so -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/feature_extraction
copying build/lib.linux-armv8l-2.7/sklearn/feature_extraction/stop_words.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/feature_extraction
creating /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tree
creating /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tree/tests
copying build/lib.linux-armv8l-2.7/sklearn/tree/tests/test_tree.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tree/tests
copying build/lib.linux-armv8l-2.7/sklearn/tree/tests/test_export.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tree/tests
copying build/lib.linux-armv8l-2.7/sklearn/tree/tests/__init__.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tree/tests
copying build/lib.linux-armv8l-2.7/sklearn/tree/_criterion.so -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tree
copying build/lib.linux-armv8l-2.7/sklearn/tree/tree.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tree
copying build/lib.linux-armv8l-2.7/sklearn/tree/setup.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tree
copying build/lib.linux-armv8l-2.7/sklearn/tree/_splitter.so -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tree
copying build/lib.linux-armv8l-2.7/sklearn/tree/export.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tree
copying build/lib.linux-armv8l-2.7/sklearn/tree/_tree.so -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tree
copying build/lib.linux-armv8l-2.7/sklearn/tree/__init__.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tree
copying build/lib.linux-armv8l-2.7/sklearn/tree/_utils.so -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tree
copying build/lib.linux-armv8l-2.7/sklearn/discriminant_analysis.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn
copying build/lib.linux-armv8l-2.7/sklearn/__init__.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn
creating /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/gaussian_process
creating /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/gaussian_process/tests
copying build/lib.linux-armv8l-2.7/sklearn/gaussian_process/tests/test_gaussian_process.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/gaussian_process/tests
copying build/lib.linux-armv8l-2.7/sklearn/gaussian_process/tests/test_kernels.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/gaussian_process/tests
copying build/lib.linux-armv8l-2.7/sklearn/gaussian_process/tests/test_gpr.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/gaussian_process/tests
copying build/lib.linux-armv8l-2.7/sklearn/gaussian_process/tests/__init__.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/gaussian_process/tests
copying build/lib.linux-armv8l-2.7/sklearn/gaussian_process/tests/test_gpc.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/gaussian_process/tests
copying build/lib.linux-armv8l-2.7/sklearn/gaussian_process/regression_models.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/gaussian_process
copying build/lib.linux-armv8l-2.7/sklearn/gaussian_process/gaussian_process.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/gaussian_process
copying build/lib.linux-armv8l-2.7/sklearn/gaussian_process/gpr.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/gaussian_process
copying build/lib.linux-armv8l-2.7/sklearn/gaussian_process/correlation_models.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/gaussian_process
copying build/lib.linux-armv8l-2.7/sklearn/gaussian_process/__init__.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/gaussian_process
copying build/lib.linux-armv8l-2.7/sklearn/gaussian_process/kernels.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/gaussian_process
copying build/lib.linux-armv8l-2.7/sklearn/gaussian_process/gpc.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/gaussian_process
copying build/lib.linux-armv8l-2.7/sklearn/pipeline.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn
creating /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/mixture
creating /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/mixture/tests
copying build/lib.linux-armv8l-2.7/sklearn/mixture/tests/test_bayesian_mixture.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/mixture/tests
copying build/lib.linux-armv8l-2.7/sklearn/mixture/tests/test_dpgmm.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/mixture/tests
copying build/lib.linux-armv8l-2.7/sklearn/mixture/tests/test_gaussian_mixture.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/mixture/tests
copying build/lib.linux-armv8l-2.7/sklearn/mixture/tests/__init__.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/mixture/tests
copying build/lib.linux-armv8l-2.7/sklearn/mixture/tests/test_gmm.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/mixture/tests
copying build/lib.linux-armv8l-2.7/sklearn/mixture/dpgmm.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/mixture
copying build/lib.linux-armv8l-2.7/sklearn/mixture/base.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/mixture
copying build/lib.linux-armv8l-2.7/sklearn/mixture/gaussian_mixture.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/mixture
copying build/lib.linux-armv8l-2.7/sklearn/mixture/__init__.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/mixture
copying build/lib.linux-armv8l-2.7/sklearn/mixture/gmm.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/mixture
copying build/lib.linux-armv8l-2.7/sklearn/mixture/bayesian_mixture.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/mixture
copying build/lib.linux-armv8l-2.7/sklearn/dummy.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn
creating /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/preprocessing
creating /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/preprocessing/tests
copying build/lib.linux-armv8l-2.7/sklearn/preprocessing/tests/test_imputation.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/preprocessing/tests
copying build/lib.linux-armv8l-2.7/sklearn/preprocessing/tests/test_data.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/preprocessing/tests
copying build/lib.linux-armv8l-2.7/sklearn/preprocessing/tests/test_function_transformer.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/preprocessing/tests
copying build/lib.linux-armv8l-2.7/sklearn/preprocessing/tests/__init__.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/preprocessing/tests
copying build/lib.linux-armv8l-2.7/sklearn/preprocessing/tests/test_label.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/preprocessing/tests
copying build/lib.linux-armv8l-2.7/sklearn/preprocessing/imputation.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/preprocessing
copying build/lib.linux-armv8l-2.7/sklearn/preprocessing/__init__.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/preprocessing
copying build/lib.linux-armv8l-2.7/sklearn/preprocessing/label.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/preprocessing
copying build/lib.linux-armv8l-2.7/sklearn/preprocessing/data.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/preprocessing
copying build/lib.linux-armv8l-2.7/sklearn/preprocessing/_function_transformer.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/preprocessing
copying build/lib.linux-armv8l-2.7/sklearn/kernel_approximation.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn
copying build/lib.linux-armv8l-2.7/sklearn/exceptions.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn
creating /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/covariance
creating /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/covariance/tests
copying build/lib.linux-armv8l-2.7/sklearn/covariance/tests/test_graph_lasso.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/covariance/tests
copying build/lib.linux-armv8l-2.7/sklearn/covariance/tests/test_covariance.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/covariance/tests
copying build/lib.linux-armv8l-2.7/sklearn/covariance/tests/__init__.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/covariance/tests
copying build/lib.linux-armv8l-2.7/sklearn/covariance/tests/test_robust_covariance.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/covariance/tests
copying build/lib.linux-armv8l-2.7/sklearn/covariance/outlier_detection.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/covariance
copying build/lib.linux-armv8l-2.7/sklearn/covariance/robust_covariance.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/covariance
copying build/lib.linux-armv8l-2.7/sklearn/covariance/shrunk_covariance_.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/covariance
copying build/lib.linux-armv8l-2.7/sklearn/covariance/empirical_covariance_.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/covariance
copying build/lib.linux-armv8l-2.7/sklearn/covariance/graph_lasso_.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/covariance
copying build/lib.linux-armv8l-2.7/sklearn/covariance/__init__.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/covariance
copying build/lib.linux-armv8l-2.7/sklearn/_isotonic.so -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn
copying build/lib.linux-armv8l-2.7/sklearn/grid_search.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn
creating /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/ensemble
creating /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/ensemble/tests
copying build/lib.linux-armv8l-2.7/sklearn/ensemble/tests/test_iforest.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/ensemble/tests
copying build/lib.linux-armv8l-2.7/sklearn/ensemble/tests/test_partial_dependence.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/ensemble/tests
copying build/lib.linux-armv8l-2.7/sklearn/ensemble/tests/test_forest.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/ensemble/tests
copying build/lib.linux-armv8l-2.7/sklearn/ensemble/tests/test_weight_boosting.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/ensemble/tests
copying build/lib.linux-armv8l-2.7/sklearn/ensemble/tests/test_gradient_boosting.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/ensemble/tests
copying build/lib.linux-armv8l-2.7/sklearn/ensemble/tests/__init__.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/ensemble/tests
copying build/lib.linux-armv8l-2.7/sklearn/ensemble/tests/test_base.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/ensemble/tests
copying build/lib.linux-armv8l-2.7/sklearn/ensemble/tests/test_gradient_boosting_loss_functions.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/ensemble/tests
copying build/lib.linux-armv8l-2.7/sklearn/ensemble/tests/test_voting_classifier.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/ensemble/tests
copying build/lib.linux-armv8l-2.7/sklearn/ensemble/tests/test_bagging.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/ensemble/tests
copying build/lib.linux-armv8l-2.7/sklearn/ensemble/voting_classifier.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/ensemble
copying build/lib.linux-armv8l-2.7/sklearn/ensemble/_gradient_boosting.so -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/ensemble
copying build/lib.linux-armv8l-2.7/sklearn/ensemble/base.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/ensemble
copying build/lib.linux-armv8l-2.7/sklearn/ensemble/weight_boosting.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/ensemble
copying build/lib.linux-armv8l-2.7/sklearn/ensemble/partial_dependence.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/ensemble
copying build/lib.linux-armv8l-2.7/sklearn/ensemble/bagging.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/ensemble
copying build/lib.linux-armv8l-2.7/sklearn/ensemble/gradient_boosting.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/ensemble
copying build/lib.linux-armv8l-2.7/sklearn/ensemble/setup.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/ensemble
copying build/lib.linux-armv8l-2.7/sklearn/ensemble/forest.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/ensemble
copying build/lib.linux-armv8l-2.7/sklearn/ensemble/__init__.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/ensemble
copying build/lib.linux-armv8l-2.7/sklearn/ensemble/iforest.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/ensemble
copying build/lib.linux-armv8l-2.7/sklearn/calibration.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_naive_bayes.py to test_naive_bayes.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_grid_search.py to test_grid_search.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_discriminant_analysis.py to test_discriminant_analysis.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py to test_common.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_init.py to test_init.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_isotonic.py to test_isotonic.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_multioutput.py to test_multioutput.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_kernel_ridge.py to test_kernel_ridge.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_config.py to test_config.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_docstring_parameters.py to test_docstring_parameters.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_multiclass.py to test_multiclass.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_dummy.py to test_dummy.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_calibration.py to test_calibration.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_random_projection.py to test_random_projection.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/__init__.py to __init__.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_base.py to test_base.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_cross_validation.py to test_cross_validation.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_kernel_approximation.py to test_kernel_approximation.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_metaestimators.py to test_metaestimators.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_pipeline.py to test_pipeline.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_check_build.py to test_check_build.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_learning_curve.py to test_learning_curve.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/externals/funcsigs.py to funcsigs.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/externals/test_externals_setup.py to test_externals_setup.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/externals/setup.py to setup.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/externals/__init__.py to __init__.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/externals/six.py to six.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/externals/joblib/__init__.py to __init__.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/multiclass.py to multiclass.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/tests/test_testing.py to test_testing.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/tests/test_optimize.py to test_optimize.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/tests/test_random.py to test_random.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/tests/test_class_weight.py to test_class_weight.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/tests/test_estimator_checks.py to test_estimator_checks.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/tests/test_multiclass.py to test_multiclass.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/tests/test_murmurhash.py to test_murmurhash.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/tests/test_fixes.py to test_fixes.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/tests/test_graph.py to test_graph.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/tests/test_utils.py to test_utils.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/tests/test_deprecation.py to test_deprecation.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/tests/test_stats.py to test_stats.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/tests/__init__.py to __init__.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/tests/test_seq_dataset.py to test_seq_dataset.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/tests/test_metaestimators.py to test_metaestimators.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/tests/test_bench.py to test_bench.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/tests/test_extmath.py to test_extmath.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/tests/test_sparsefuncs.py to test_sparsefuncs.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/tests/test_fast_dict.py to test_fast_dict.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/tests/test_shortest_path.py to test_shortest_path.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/tests/test_validation.py to test_validation.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/tests/test_linear_assignment.py to test_linear_assignment.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/random.py to random.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/multiclass.py to multiclass.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/testing.py to testing.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/class_weight.py to class_weight.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/_scipy_sparse_lsqr_backport.py to _scipy_sparse_lsqr_backport.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/estimator_checks.py to estimator_checks.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/graph.py to graph.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/deprecation.py to deprecation.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/extmath.py to extmath.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/setup.py to setup.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/validation.py to validation.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/fixes.py to fixes.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/arpack.py to arpack.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/__init__.py to __init__.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/bench.py to bench.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/linear_assignment_.py to linear_assignment_.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/stats.py to stats.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/metaestimators.py to metaestimators.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/sparsetools/tests/__init__.py to __init__.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/sparsetools/setup.py to setup.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/sparsetools/__init__.py to __init__.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/sparsefuncs.py to sparsefuncs.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/mocking.py to mocking.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/optimize.py to optimize.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/datasets/california_housing.py to california_housing.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/datasets/tests/test_20news.py to test_20news.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/datasets/tests/test_rcv1.py to test_rcv1.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/datasets/tests/__init__.py to __init__.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/datasets/tests/test_base.py to test_base.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/datasets/tests/test_svmlight_format.py to test_svmlight_format.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/datasets/tests/test_covtype.py to test_covtype.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/datasets/tests/test_lfw.py to test_lfw.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/datasets/tests/test_mldata.py to test_mldata.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/datasets/tests/test_kddcup99.py to test_kddcup99.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/datasets/tests/test_samples_generator.py to test_samples_generator.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/datasets/samples_generator.py to samples_generator.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/datasets/kddcup99.py to kddcup99.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/datasets/base.py to base.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/datasets/species_distributions.py to species_distributions.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/datasets/svmlight_format.py to svmlight_format.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/datasets/rcv1.py to rcv1.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/datasets/mlcomp.py to mlcomp.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/datasets/twenty_newsgroups.py to twenty_newsgroups.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/datasets/setup.py to setup.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/datasets/covtype.py to covtype.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/datasets/mldata.py to mldata.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/datasets/__init__.py to __init__.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/datasets/lfw.py to lfw.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/datasets/olivetti_faces.py to olivetti_faces.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/__check_build/setup.py to setup.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/__check_build/__init__.py to __init__.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/base.py to base.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/svm/tests/test_svm.py to test_svm.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/svm/tests/test_bounds.py to test_bounds.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/svm/tests/__init__.py to __init__.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/svm/tests/test_sparse.py to test_sparse.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/svm/base.py to base.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/svm/classes.py to classes.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/svm/setup.py to setup.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/svm/__init__.py to __init__.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/svm/bounds.py to bounds.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/semi_supervised/tests/test_label_propagation.py to test_label_propagation.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/semi_supervised/tests/__init__.py to __init__.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/semi_supervised/label_propagation.py to label_propagation.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/semi_supervised/__init__.py to __init__.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/decomposition/tests/test_pca.py to test_pca.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/decomposition/tests/test_kernel_pca.py to test_kernel_pca.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/decomposition/tests/test_dict_learning.py to test_dict_learning.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/decomposition/tests/test_incremental_pca.py to test_incremental_pca.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/decomposition/tests/test_online_lda.py to test_online_lda.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/decomposition/tests/test_factor_analysis.py to test_factor_analysis.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/decomposition/tests/test_sparse_pca.py to test_sparse_pca.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/decomposition/tests/__init__.py to __init__.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/decomposition/tests/test_truncated_svd.py to test_truncated_svd.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/decomposition/tests/test_fastica.py to test_fastica.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/decomposition/tests/test_nmf.py to test_nmf.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/decomposition/base.py to base.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/decomposition/pca.py to pca.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/decomposition/truncated_svd.py to truncated_svd.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/decomposition/fastica_.py to fastica_.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/decomposition/setup.py to setup.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/decomposition/online_lda.py to online_lda.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/decomposition/dict_learning.py to dict_learning.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/decomposition/factor_analysis.py to factor_analysis.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/decomposition/kernel_pca.py to kernel_pca.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/decomposition/nmf.py to nmf.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/decomposition/__init__.py to __init__.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/decomposition/incremental_pca.py to incremental_pca.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/decomposition/sparse_pca.py to sparse_pca.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/feature_selection/tests/test_variance_threshold.py to test_variance_threshold.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/feature_selection/tests/test_feature_select.py to test_feature_select.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/feature_selection/tests/test_from_model.py to test_from_model.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/feature_selection/tests/test_mutual_info.py to test_mutual_info.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/feature_selection/tests/test_chi2.py to test_chi2.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/feature_selection/tests/__init__.py to __init__.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/feature_selection/tests/test_base.py to test_base.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/feature_selection/tests/test_rfe.py to test_rfe.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/feature_selection/rfe.py to rfe.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/feature_selection/base.py to base.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/feature_selection/univariate_selection.py to univariate_selection.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/feature_selection/__init__.py to __init__.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/feature_selection/from_model.py to from_model.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/feature_selection/variance_threshold.py to variance_threshold.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/feature_selection/mutual_info_.py to mutual_info_.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cross_validation.py to cross_validation.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/_build_utils/__init__.py to __init__.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/naive_bayes.py to naive_bayes.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/model_selection/tests/common.py to common.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/model_selection/tests/test_search.py to test_search.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/model_selection/tests/test_split.py to test_split.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/model_selection/tests/__init__.py to __init__.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/model_selection/tests/test_validation.py to test_validation.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/model_selection/_search.py to _search.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/model_selection/_validation.py to _validation.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/model_selection/__init__.py to __init__.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/model_selection/_split.py to _split.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/linear_model/tests/test_randomized_l1.py to test_randomized_l1.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/linear_model/tests/test_sparse_coordinate_descent.py to test_sparse_coordinate_descent.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/linear_model/tests/test_huber.py to test_huber.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/linear_model/tests/test_passive_aggressive.py to test_passive_aggressive.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/linear_model/tests/test_ransac.py to test_ransac.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/linear_model/tests/test_bayes.py to test_bayes.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/linear_model/tests/test_theil_sen.py to test_theil_sen.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/linear_model/tests/test_logistic.py to test_logistic.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/linear_model/tests/test_perceptron.py to test_perceptron.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/linear_model/tests/test_omp.py to test_omp.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/linear_model/tests/__init__.py to __init__.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/linear_model/tests/test_base.py to test_base.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/linear_model/tests/test_sag.py to test_sag.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/linear_model/tests/test_sgd.py to test_sgd.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/linear_model/tests/test_ridge.py to test_ridge.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/linear_model/tests/test_least_angle.py to test_least_angle.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/linear_model/tests/test_coordinate_descent.py to test_coordinate_descent.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/linear_model/logistic.py to logistic.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/linear_model/bayes.py to bayes.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/linear_model/omp.py to omp.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/linear_model/sag.py to sag.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/linear_model/perceptron.py to perceptron.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/linear_model/base.py to base.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/linear_model/randomized_l1.py to randomized_l1.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/linear_model/ridge.py to ridge.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/linear_model/ransac.py to ransac.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/linear_model/setup.py to setup.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/linear_model/passive_aggressive.py to passive_aggressive.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/linear_model/coordinate_descent.py to coordinate_descent.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/linear_model/stochastic_gradient.py to stochastic_gradient.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/linear_model/__init__.py to __init__.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/linear_model/huber.py to huber.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/linear_model/theil_sen.py to theil_sen.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/linear_model/least_angle.py to least_angle.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/metrics/tests/test_common.py to test_common.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/metrics/tests/test_regression.py to test_regression.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/metrics/tests/test_score_objects.py to test_score_objects.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/metrics/tests/test_ranking.py to test_ranking.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/metrics/tests/test_classification.py to test_classification.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/metrics/tests/__init__.py to __init__.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/metrics/tests/test_pairwise.py to test_pairwise.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/metrics/regression.py to regression.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/metrics/base.py to base.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/metrics/pairwise.py to pairwise.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/metrics/setup.py to setup.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/metrics/ranking.py to ranking.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/metrics/cluster/tests/test_supervised.py to test_supervised.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/metrics/cluster/tests/__init__.py to __init__.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/metrics/cluster/tests/test_unsupervised.py to test_unsupervised.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/metrics/cluster/tests/test_bicluster.py to test_bicluster.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/metrics/cluster/unsupervised.py to unsupervised.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/metrics/cluster/setup.py to setup.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/metrics/cluster/bicluster.py to bicluster.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/metrics/cluster/__init__.py to __init__.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/metrics/cluster/supervised.py to supervised.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/metrics/scorer.py to scorer.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/metrics/__init__.py to __init__.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/metrics/classification.py to classification.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/neighbors/tests/test_kd_tree.py to test_kd_tree.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/neighbors/tests/test_kde.py to test_kde.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/neighbors/tests/test_dist_metrics.py to test_dist_metrics.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/neighbors/tests/test_neighbors.py to test_neighbors.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/neighbors/tests/test_nearest_centroid.py to test_nearest_centroid.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/neighbors/tests/__init__.py to __init__.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/neighbors/tests/test_lof.py to test_lof.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/neighbors/tests/test_quad_tree.py to test_quad_tree.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/neighbors/tests/test_ball_tree.py to test_ball_tree.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/neighbors/tests/test_approximate.py to test_approximate.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/neighbors/unsupervised.py to unsupervised.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/neighbors/regression.py to regression.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/neighbors/base.py to base.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/neighbors/graph.py to graph.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/neighbors/kde.py to kde.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/neighbors/setup.py to setup.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/neighbors/nearest_centroid.py to nearest_centroid.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/neighbors/lof.py to lof.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/neighbors/__init__.py to __init__.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/neighbors/approximate.py to approximate.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/neighbors/classification.py to classification.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/setup.py to setup.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/random_projection.py to random_projection.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/manifold/tests/test_spectral_embedding.py to test_spectral_embedding.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/manifold/tests/test_mds.py to test_mds.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/manifold/tests/test_isomap.py to test_isomap.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/manifold/tests/__init__.py to __init__.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/manifold/tests/test_locally_linear.py to test_locally_linear.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/manifold/tests/test_t_sne.py to test_t_sne.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/manifold/spectral_embedding_.py to spectral_embedding_.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/manifold/isomap.py to isomap.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/manifold/locally_linear.py to locally_linear.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/manifold/setup.py to setup.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/manifold/__init__.py to __init__.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/manifold/mds.py to mds.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/manifold/t_sne.py to t_sne.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cross_decomposition/tests/__init__.py to __init__.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cross_decomposition/tests/test_pls.py to test_pls.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cross_decomposition/pls_.py to pls_.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cross_decomposition/__init__.py to __init__.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cross_decomposition/cca_.py to cca_.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/tests/common.py to common.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/tests/test_spectral.py to test_spectral.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/tests/test_dbscan.py to test_dbscan.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/tests/test_hierarchical.py to test_hierarchical.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/tests/__init__.py to __init__.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/tests/test_affinity_propagation.py to test_affinity_propagation.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/tests/test_bicluster.py to test_bicluster.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/tests/test_k_means.py to test_k_means.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/tests/test_birch.py to test_birch.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/tests/test_mean_shift.py to test_mean_shift.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/k_means_.py to k_means_.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/mean_shift_.py to mean_shift_.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/spectral.py to spectral.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/dbscan_.py to dbscan_.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/birch.py to birch.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/affinity_propagation_.py to affinity_propagation_.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/setup.py to setup.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/bicluster.py to bicluster.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/hierarchical.py to hierarchical.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/__init__.py to __init__.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/_feature_agglomeration.py to _feature_agglomeration.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/multioutput.py to multioutput.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/kernel_ridge.py to kernel_ridge.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/learning_curve.py to learning_curve.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/neural_network/tests/test_rbm.py to test_rbm.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/neural_network/tests/__init__.py to __init__.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/neural_network/tests/test_stochastic_optimizers.py to test_stochastic_optimizers.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/neural_network/tests/test_mlp.py to test_mlp.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/neural_network/_base.py to _base.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/neural_network/rbm.py to rbm.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/neural_network/multilayer_perceptron.py to multilayer_perceptron.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/neural_network/__init__.py to __init__.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/neural_network/_stochastic_optimizers.py to _stochastic_optimizers.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/isotonic.py to isotonic.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/feature_extraction/tests/test_feature_hasher.py to test_feature_hasher.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/feature_extraction/tests/test_dict_vectorizer.py to test_dict_vectorizer.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/feature_extraction/tests/__init__.py to __init__.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/feature_extraction/tests/test_text.py to test_text.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/feature_extraction/tests/test_image.py to test_image.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/feature_extraction/text.py to text.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/feature_extraction/setup.py to setup.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/feature_extraction/dict_vectorizer.py to dict_vectorizer.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/feature_extraction/hashing.py to hashing.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/feature_extraction/__init__.py to __init__.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/feature_extraction/image.py to image.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/feature_extraction/stop_words.py to stop_words.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tree/tests/test_tree.py to test_tree.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tree/tests/test_export.py to test_export.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tree/tests/__init__.py to __init__.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tree/tree.py to tree.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tree/setup.py to setup.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tree/export.py to export.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tree/__init__.py to __init__.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/discriminant_analysis.py to discriminant_analysis.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/__init__.py to __init__.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/gaussian_process/tests/test_gaussian_process.py to test_gaussian_process.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/gaussian_process/tests/test_kernels.py to test_kernels.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/gaussian_process/tests/test_gpr.py to test_gpr.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/gaussian_process/tests/__init__.py to __init__.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/gaussian_process/tests/test_gpc.py to test_gpc.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/gaussian_process/regression_models.py to regression_models.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/gaussian_process/gaussian_process.py to gaussian_process.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/gaussian_process/gpr.py to gpr.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/gaussian_process/correlation_models.py to correlation_models.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/gaussian_process/__init__.py to __init__.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/gaussian_process/kernels.py to kernels.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/gaussian_process/gpc.py to gpc.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/pipeline.py to pipeline.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/mixture/tests/test_bayesian_mixture.py to test_bayesian_mixture.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/mixture/tests/test_dpgmm.py to test_dpgmm.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/mixture/tests/test_gaussian_mixture.py to test_gaussian_mixture.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/mixture/tests/__init__.py to __init__.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/mixture/tests/test_gmm.py to test_gmm.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/mixture/dpgmm.py to dpgmm.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/mixture/base.py to base.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/mixture/gaussian_mixture.py to gaussian_mixture.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/mixture/__init__.py to __init__.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/mixture/gmm.py to gmm.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/mixture/bayesian_mixture.py to bayesian_mixture.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/dummy.py to dummy.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/preprocessing/tests/test_imputation.py to test_imputation.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/preprocessing/tests/test_data.py to test_data.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/preprocessing/tests/test_function_transformer.py to test_function_transformer.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/preprocessing/tests/__init__.py to __init__.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/preprocessing/tests/test_label.py to test_label.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/preprocessing/imputation.py to imputation.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/preprocessing/__init__.py to __init__.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/preprocessing/label.py to label.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/preprocessing/data.py to data.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/preprocessing/_function_transformer.py to _function_transformer.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/kernel_approximation.py to kernel_approximation.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/exceptions.py to exceptions.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/covariance/tests/test_graph_lasso.py to test_graph_lasso.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/covariance/tests/test_covariance.py to test_covariance.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/covariance/tests/__init__.py to __init__.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/covariance/tests/test_robust_covariance.py to test_robust_covariance.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/covariance/outlier_detection.py to outlier_detection.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/covariance/robust_covariance.py to robust_covariance.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/covariance/shrunk_covariance_.py to shrunk_covariance_.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/covariance/empirical_covariance_.py to empirical_covariance_.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/covariance/graph_lasso_.py to graph_lasso_.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/covariance/__init__.py to __init__.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/grid_search.py to grid_search.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/ensemble/tests/test_iforest.py to test_iforest.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/ensemble/tests/test_partial_dependence.py to test_partial_dependence.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/ensemble/tests/test_forest.py to test_forest.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/ensemble/tests/test_weight_boosting.py to test_weight_boosting.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/ensemble/tests/test_gradient_boosting.py to test_gradient_boosting.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/ensemble/tests/__init__.py to __init__.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/ensemble/tests/test_base.py to test_base.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/ensemble/tests/test_gradient_boosting_loss_functions.py to test_gradient_boosting_loss_functions.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/ensemble/tests/test_voting_classifier.py to test_voting_classifier.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/ensemble/tests/test_bagging.py to test_bagging.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/ensemble/voting_classifier.py to voting_classifier.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/ensemble/base.py to base.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/ensemble/weight_boosting.py to weight_boosting.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/ensemble/partial_dependence.py to partial_dependence.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/ensemble/bagging.py to bagging.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/ensemble/gradient_boosting.py to gradient_boosting.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/ensemble/setup.py to setup.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/ensemble/forest.py to forest.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/ensemble/__init__.py to __init__.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/ensemble/iforest.py to iforest.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/calibration.py to calibration.pyc
running install_data
creating /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/datasets/tests/data
copying sklearn/datasets/tests/data/svmlight_invalid_order.txt -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/datasets/tests/data/
copying sklearn/datasets/tests/data/svmlight_classification.txt -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/datasets/tests/data/
copying sklearn/datasets/tests/data/svmlight_multilabel.txt -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/datasets/tests/data/
copying sklearn/datasets/tests/data/svmlight_invalid.txt -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/datasets/tests/data/
creating /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/datasets/data
copying sklearn/datasets/data/wine_data.csv -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/datasets/data/
copying sklearn/datasets/data/diabetes_target.csv.gz -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/datasets/data/
copying sklearn/datasets/data/boston_house_prices.csv -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/datasets/data/
copying sklearn/datasets/data/diabetes_data.csv.gz -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/datasets/data/
copying sklearn/datasets/data/linnerud_physiological.csv -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/datasets/data/
copying sklearn/datasets/data/digits.csv.gz -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/datasets/data/
copying sklearn/datasets/data/iris.csv -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/datasets/data/
copying sklearn/datasets/data/breast_cancer.csv -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/datasets/data/
copying sklearn/datasets/data/linnerud_exercise.csv -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/datasets/data/
creating /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/datasets/images
copying sklearn/datasets/images/flower.jpg -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/datasets/images/
copying sklearn/datasets/images/README.txt -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/datasets/images/
copying sklearn/datasets/images/china.jpg -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/datasets/images/
creating /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/datasets/descr
copying sklearn/datasets/descr/wine_data.rst -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/datasets/descr/
copying sklearn/datasets/descr/digits.rst -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/datasets/descr/
copying sklearn/datasets/descr/linnerud.rst -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/datasets/descr/
copying sklearn/datasets/descr/breast_cancer.rst -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/datasets/descr/
copying sklearn/datasets/descr/iris.rst -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/datasets/descr/
copying sklearn/datasets/descr/boston_house_prices.rst -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/datasets/descr/
copying sklearn/datasets/descr/diabetes.rst -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/datasets/descr/
running install_egg_info
Writing /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/scikit_learn-0.19.2.egg-info
running install_clib
echo "3.6" | grep -q '^3' && PY=3 || PY= ; \
CYTHONVER=$(dpkg -l cython$PY 2>/dev/null | awk '/^ii/{print $3;}' || echo 0); \
dpkg --compare-versions "$CYTHONVER" lt "0.24" && { \
echo "I: Using pre-Cython-ed files for Python 3.6"; \
touch PKG-INFO; \
cd debian/cythonized-files$PY/ ; \
find . -regex '.*\.c\(\|pp\)' | while read f; do cp $f ../../$f; done; } || :
dpkg: error: --compare-versions takes three arguments: <version> <relation> <version>
Type dpkg --help for help about installing and deinstalling packages [*];
Use 'apt' or 'aptitude' for user-friendly package management;
Type dpkg -Dhelp for a list of dpkg debug flag values;
Type dpkg --force-help for a list of forcing options;
Type dpkg-deb --help for help about manipulating *.deb files;
Options marked [*] produce a lot of output - pipe it through 'less' or 'more' !
python3.6 setup.py install --install-layout=deb --root=/<<PKGBUILDDIR>>/debian/tmp
dpkg: error: --compare-versions takes three arguments: <version> <relation> <version>
Type dpkg --help for help about installing and deinstalling packages [*];
Use 'apt' or 'aptitude' for user-friendly package management;
Type dpkg -Dhelp for a list of dpkg debug flag values;
Type dpkg --force-help for a list of forcing options;
Type dpkg-deb --help for help about manipulating *.deb files;
Options marked [*] produce a lot of output - pipe it through 'less' or 'more' !
blas_opt_info:
blas_mkl_info:
customize UnixCCompiler
libraries mkl_rt not found in ['/usr/local/lib', '/usr/lib', '/usr/lib/arm-linux-gnueabihf']
NOT AVAILABLE
blis_info:
customize UnixCCompiler
libraries blis not found in ['/usr/local/lib', '/usr/lib', '/usr/lib/arm-linux-gnueabihf']
NOT AVAILABLE
openblas_info:
customize UnixCCompiler
customize UnixCCompiler
libraries openblas not found in ['/usr/local/lib', '/usr/lib', '/usr/lib/arm-linux-gnueabihf']
NOT AVAILABLE
atlas_3_10_blas_threads_info:
Setting PTATLAS=ATLAS
customize UnixCCompiler
libraries tatlas not found in ['/usr/local/lib', '/usr/lib', '/usr/lib/arm-linux-gnueabihf/atlas', '/usr/lib/arm-linux-gnueabihf']
NOT AVAILABLE
atlas_3_10_blas_info:
customize UnixCCompiler
libraries satlas not found in ['/usr/local/lib', '/usr/lib', '/usr/lib/arm-linux-gnueabihf/atlas', '/usr/lib/arm-linux-gnueabihf']
NOT AVAILABLE
atlas_blas_threads_info:
Setting PTATLAS=ATLAS
customize UnixCCompiler
libraries ptf77blas,ptcblas,atlas not found in ['/usr/local/lib', '/usr/lib', '/usr/lib/arm-linux-gnueabihf/atlas', '/usr/lib/arm-linux-gnueabihf']
NOT AVAILABLE
atlas_blas_info:
customize UnixCCompiler
libraries f77blas,cblas,atlas not found in ['/usr/local/lib', '/usr/lib', '/usr/lib/arm-linux-gnueabihf/atlas', '/usr/lib/arm-linux-gnueabihf']
NOT AVAILABLE
blas_info:
customize UnixCCompiler
libraries blas not found in ['/usr/local/lib', '/usr/lib', '/usr/lib/arm-linux-gnueabihf']
NOT AVAILABLE
blas_src_info:
NOT AVAILABLE
NOT AVAILABLE
sklearn/manifold/_barnes_hut_tsne.pyx: cannot find cimported module 'sklearn.neighbors'
running install
running build
running config_cc
unifing config_cc, config, build_clib, build_ext, build commands --compiler options
running config_fc
unifing config_fc, config, build_clib, build_ext, build commands --fcompiler options
running build_src
build_src
building library "libsvm-skl" sources
building library "cblas" sources
building extension "sklearn.__check_build._check_build" sources
building extension "sklearn.cluster._dbscan_inner" sources
building extension "sklearn.cluster._hierarchical" sources
building extension "sklearn.cluster._k_means_elkan" sources
building extension "sklearn.cluster._k_means" sources
building extension "sklearn.datasets._svmlight_format" sources
building extension "sklearn.decomposition._online_lda" sources
building extension "sklearn.decomposition.cdnmf_fast" sources
building extension "sklearn.ensemble._gradient_boosting" sources
building extension "sklearn.feature_extraction._hashing" sources
building extension "sklearn.manifold._utils" sources
building extension "sklearn.manifold._barnes_hut_tsne" sources
building extension "sklearn.metrics.cluster.expected_mutual_info_fast" sources
building extension "sklearn.metrics.pairwise_fast" sources
building extension "sklearn.neighbors.ball_tree" sources
building extension "sklearn.neighbors.kd_tree" sources
building extension "sklearn.neighbors.dist_metrics" sources
building extension "sklearn.neighbors.typedefs" sources
building extension "sklearn.neighbors.quad_tree" sources
building extension "sklearn.tree._tree" sources
building extension "sklearn.tree._splitter" sources
building extension "sklearn.tree._criterion" sources
building extension "sklearn.tree._utils" sources
building extension "sklearn.svm.libsvm" sources
building extension "sklearn.svm.liblinear" sources
building extension "sklearn.svm.libsvm_sparse" sources
building extension "sklearn._isotonic" sources
building extension "sklearn.linear_model.cd_fast" sources
building extension "sklearn.linear_model.sgd_fast" sources
building extension "sklearn.linear_model.sag_fast" sources
building extension "sklearn.utils.sparsefuncs_fast" sources
building extension "sklearn.utils.arrayfuncs" sources
building extension "sklearn.utils.murmurhash" sources
building extension "sklearn.utils.lgamma" sources
building extension "sklearn.utils.graph_shortest_path" sources
building extension "sklearn.utils.fast_dict" sources
building extension "sklearn.utils.seq_dataset" sources
building extension "sklearn.utils.weight_vector" sources
building extension "sklearn.utils._random" sources
building extension "sklearn.utils._logistic_sigmoid" sources
building data_files sources
build_src: building npy-pkg config files
running build_py
creating build/lib.linux-armv8l-3.6
creating build/lib.linux-armv8l-3.6/sklearn
copying sklearn/multiclass.py -> build/lib.linux-armv8l-3.6/sklearn
copying sklearn/base.py -> build/lib.linux-armv8l-3.6/sklearn
copying sklearn/cross_validation.py -> build/lib.linux-armv8l-3.6/sklearn
copying sklearn/naive_bayes.py -> build/lib.linux-armv8l-3.6/sklearn
copying sklearn/setup.py -> build/lib.linux-armv8l-3.6/sklearn
copying sklearn/random_projection.py -> build/lib.linux-armv8l-3.6/sklearn
copying sklearn/multioutput.py -> build/lib.linux-armv8l-3.6/sklearn
copying sklearn/kernel_ridge.py -> build/lib.linux-armv8l-3.6/sklearn
copying sklearn/learning_curve.py -> build/lib.linux-armv8l-3.6/sklearn
copying sklearn/isotonic.py -> build/lib.linux-armv8l-3.6/sklearn
copying sklearn/discriminant_analysis.py -> build/lib.linux-armv8l-3.6/sklearn
copying sklearn/__init__.py -> build/lib.linux-armv8l-3.6/sklearn
copying sklearn/pipeline.py -> build/lib.linux-armv8l-3.6/sklearn
copying sklearn/dummy.py -> build/lib.linux-armv8l-3.6/sklearn
copying sklearn/kernel_approximation.py -> build/lib.linux-armv8l-3.6/sklearn
copying sklearn/exceptions.py -> build/lib.linux-armv8l-3.6/sklearn
copying sklearn/grid_search.py -> build/lib.linux-armv8l-3.6/sklearn
copying sklearn/calibration.py -> build/lib.linux-armv8l-3.6/sklearn
creating build/lib.linux-armv8l-3.6/sklearn/__check_build
copying sklearn/__check_build/setup.py -> build/lib.linux-armv8l-3.6/sklearn/__check_build
copying sklearn/__check_build/__init__.py -> build/lib.linux-armv8l-3.6/sklearn/__check_build
creating build/lib.linux-armv8l-3.6/sklearn/_build_utils
copying sklearn/_build_utils/__init__.py -> build/lib.linux-armv8l-3.6/sklearn/_build_utils
creating build/lib.linux-armv8l-3.6/sklearn/covariance
copying sklearn/covariance/outlier_detection.py -> build/lib.linux-armv8l-3.6/sklearn/covariance
copying sklearn/covariance/robust_covariance.py -> build/lib.linux-armv8l-3.6/sklearn/covariance
copying sklearn/covariance/shrunk_covariance_.py -> build/lib.linux-armv8l-3.6/sklearn/covariance
copying sklearn/covariance/empirical_covariance_.py -> build/lib.linux-armv8l-3.6/sklearn/covariance
copying sklearn/covariance/graph_lasso_.py -> build/lib.linux-armv8l-3.6/sklearn/covariance
copying sklearn/covariance/__init__.py -> build/lib.linux-armv8l-3.6/sklearn/covariance
creating build/lib.linux-armv8l-3.6/sklearn/covariance/tests
copying sklearn/covariance/tests/test_graph_lasso.py -> build/lib.linux-armv8l-3.6/sklearn/covariance/tests
copying sklearn/covariance/tests/test_covariance.py -> build/lib.linux-armv8l-3.6/sklearn/covariance/tests
copying sklearn/covariance/tests/__init__.py -> build/lib.linux-armv8l-3.6/sklearn/covariance/tests
copying sklearn/covariance/tests/test_robust_covariance.py -> build/lib.linux-armv8l-3.6/sklearn/covariance/tests
creating build/lib.linux-armv8l-3.6/sklearn/cross_decomposition
copying sklearn/cross_decomposition/pls_.py -> build/lib.linux-armv8l-3.6/sklearn/cross_decomposition
copying sklearn/cross_decomposition/__init__.py -> build/lib.linux-armv8l-3.6/sklearn/cross_decomposition
copying sklearn/cross_decomposition/cca_.py -> build/lib.linux-armv8l-3.6/sklearn/cross_decomposition
creating build/lib.linux-armv8l-3.6/sklearn/cross_decomposition/tests
copying sklearn/cross_decomposition/tests/__init__.py -> build/lib.linux-armv8l-3.6/sklearn/cross_decomposition/tests
copying sklearn/cross_decomposition/tests/test_pls.py -> build/lib.linux-armv8l-3.6/sklearn/cross_decomposition/tests
creating build/lib.linux-armv8l-3.6/sklearn/feature_selection
copying sklearn/feature_selection/rfe.py -> build/lib.linux-armv8l-3.6/sklearn/feature_selection
copying sklearn/feature_selection/base.py -> build/lib.linux-armv8l-3.6/sklearn/feature_selection
copying sklearn/feature_selection/univariate_selection.py -> build/lib.linux-armv8l-3.6/sklearn/feature_selection
copying sklearn/feature_selection/__init__.py -> build/lib.linux-armv8l-3.6/sklearn/feature_selection
copying sklearn/feature_selection/from_model.py -> build/lib.linux-armv8l-3.6/sklearn/feature_selection
copying sklearn/feature_selection/variance_threshold.py -> build/lib.linux-armv8l-3.6/sklearn/feature_selection
copying sklearn/feature_selection/mutual_info_.py -> build/lib.linux-armv8l-3.6/sklearn/feature_selection
creating build/lib.linux-armv8l-3.6/sklearn/feature_selection/tests
copying sklearn/feature_selection/tests/test_variance_threshold.py -> build/lib.linux-armv8l-3.6/sklearn/feature_selection/tests
copying sklearn/feature_selection/tests/test_feature_select.py -> build/lib.linux-armv8l-3.6/sklearn/feature_selection/tests
copying sklearn/feature_selection/tests/test_from_model.py -> build/lib.linux-armv8l-3.6/sklearn/feature_selection/tests
copying sklearn/feature_selection/tests/test_mutual_info.py -> build/lib.linux-armv8l-3.6/sklearn/feature_selection/tests
copying sklearn/feature_selection/tests/test_chi2.py -> build/lib.linux-armv8l-3.6/sklearn/feature_selection/tests
copying sklearn/feature_selection/tests/__init__.py -> build/lib.linux-armv8l-3.6/sklearn/feature_selection/tests
copying sklearn/feature_selection/tests/test_base.py -> build/lib.linux-armv8l-3.6/sklearn/feature_selection/tests
copying sklearn/feature_selection/tests/test_rfe.py -> build/lib.linux-armv8l-3.6/sklearn/feature_selection/tests
creating build/lib.linux-armv8l-3.6/sklearn/gaussian_process
copying sklearn/gaussian_process/regression_models.py -> build/lib.linux-armv8l-3.6/sklearn/gaussian_process
copying sklearn/gaussian_process/gaussian_process.py -> build/lib.linux-armv8l-3.6/sklearn/gaussian_process
copying sklearn/gaussian_process/gpr.py -> build/lib.linux-armv8l-3.6/sklearn/gaussian_process
copying sklearn/gaussian_process/correlation_models.py -> build/lib.linux-armv8l-3.6/sklearn/gaussian_process
copying sklearn/gaussian_process/__init__.py -> build/lib.linux-armv8l-3.6/sklearn/gaussian_process
copying sklearn/gaussian_process/kernels.py -> build/lib.linux-armv8l-3.6/sklearn/gaussian_process
copying sklearn/gaussian_process/gpc.py -> build/lib.linux-armv8l-3.6/sklearn/gaussian_process
creating build/lib.linux-armv8l-3.6/sklearn/gaussian_process/tests
copying sklearn/gaussian_process/tests/test_gaussian_process.py -> build/lib.linux-armv8l-3.6/sklearn/gaussian_process/tests
copying sklearn/gaussian_process/tests/test_kernels.py -> build/lib.linux-armv8l-3.6/sklearn/gaussian_process/tests
copying sklearn/gaussian_process/tests/test_gpr.py -> build/lib.linux-armv8l-3.6/sklearn/gaussian_process/tests
copying sklearn/gaussian_process/tests/__init__.py -> build/lib.linux-armv8l-3.6/sklearn/gaussian_process/tests
copying sklearn/gaussian_process/tests/test_gpc.py -> build/lib.linux-armv8l-3.6/sklearn/gaussian_process/tests
creating build/lib.linux-armv8l-3.6/sklearn/mixture
copying sklearn/mixture/dpgmm.py -> build/lib.linux-armv8l-3.6/sklearn/mixture
copying sklearn/mixture/base.py -> build/lib.linux-armv8l-3.6/sklearn/mixture
copying sklearn/mixture/gaussian_mixture.py -> build/lib.linux-armv8l-3.6/sklearn/mixture
copying sklearn/mixture/__init__.py -> build/lib.linux-armv8l-3.6/sklearn/mixture
copying sklearn/mixture/gmm.py -> build/lib.linux-armv8l-3.6/sklearn/mixture
copying sklearn/mixture/bayesian_mixture.py -> build/lib.linux-armv8l-3.6/sklearn/mixture
creating build/lib.linux-armv8l-3.6/sklearn/mixture/tests
copying sklearn/mixture/tests/test_bayesian_mixture.py -> build/lib.linux-armv8l-3.6/sklearn/mixture/tests
copying sklearn/mixture/tests/test_dpgmm.py -> build/lib.linux-armv8l-3.6/sklearn/mixture/tests
copying sklearn/mixture/tests/test_gaussian_mixture.py -> build/lib.linux-armv8l-3.6/sklearn/mixture/tests
copying sklearn/mixture/tests/__init__.py -> build/lib.linux-armv8l-3.6/sklearn/mixture/tests
copying sklearn/mixture/tests/test_gmm.py -> build/lib.linux-armv8l-3.6/sklearn/mixture/tests
creating build/lib.linux-armv8l-3.6/sklearn/model_selection
copying sklearn/model_selection/_search.py -> build/lib.linux-armv8l-3.6/sklearn/model_selection
copying sklearn/model_selection/_validation.py -> build/lib.linux-armv8l-3.6/sklearn/model_selection
copying sklearn/model_selection/__init__.py -> build/lib.linux-armv8l-3.6/sklearn/model_selection
copying sklearn/model_selection/_split.py -> build/lib.linux-armv8l-3.6/sklearn/model_selection
creating build/lib.linux-armv8l-3.6/sklearn/model_selection/tests
copying sklearn/model_selection/tests/common.py -> build/lib.linux-armv8l-3.6/sklearn/model_selection/tests
copying sklearn/model_selection/tests/test_search.py -> build/lib.linux-armv8l-3.6/sklearn/model_selection/tests
copying sklearn/model_selection/tests/test_split.py -> build/lib.linux-armv8l-3.6/sklearn/model_selection/tests
copying sklearn/model_selection/tests/__init__.py -> build/lib.linux-armv8l-3.6/sklearn/model_selection/tests
copying sklearn/model_selection/tests/test_validation.py -> build/lib.linux-armv8l-3.6/sklearn/model_selection/tests
creating build/lib.linux-armv8l-3.6/sklearn/neural_network
copying sklearn/neural_network/_base.py -> build/lib.linux-armv8l-3.6/sklearn/neural_network
copying sklearn/neural_network/rbm.py -> build/lib.linux-armv8l-3.6/sklearn/neural_network
copying sklearn/neural_network/multilayer_perceptron.py -> build/lib.linux-armv8l-3.6/sklearn/neural_network
copying sklearn/neural_network/__init__.py -> build/lib.linux-armv8l-3.6/sklearn/neural_network
copying sklearn/neural_network/_stochastic_optimizers.py -> build/lib.linux-armv8l-3.6/sklearn/neural_network
creating build/lib.linux-armv8l-3.6/sklearn/neural_network/tests
copying sklearn/neural_network/tests/test_rbm.py -> build/lib.linux-armv8l-3.6/sklearn/neural_network/tests
copying sklearn/neural_network/tests/__init__.py -> build/lib.linux-armv8l-3.6/sklearn/neural_network/tests
copying sklearn/neural_network/tests/test_stochastic_optimizers.py -> build/lib.linux-armv8l-3.6/sklearn/neural_network/tests
copying sklearn/neural_network/tests/test_mlp.py -> build/lib.linux-armv8l-3.6/sklearn/neural_network/tests
creating build/lib.linux-armv8l-3.6/sklearn/preprocessing
copying sklearn/preprocessing/imputation.py -> build/lib.linux-armv8l-3.6/sklearn/preprocessing
copying sklearn/preprocessing/__init__.py -> build/lib.linux-armv8l-3.6/sklearn/preprocessing
copying sklearn/preprocessing/label.py -> build/lib.linux-armv8l-3.6/sklearn/preprocessing
copying sklearn/preprocessing/data.py -> build/lib.linux-armv8l-3.6/sklearn/preprocessing
copying sklearn/preprocessing/_function_transformer.py -> build/lib.linux-armv8l-3.6/sklearn/preprocessing
creating build/lib.linux-armv8l-3.6/sklearn/preprocessing/tests
copying sklearn/preprocessing/tests/test_imputation.py -> build/lib.linux-armv8l-3.6/sklearn/preprocessing/tests
copying sklearn/preprocessing/tests/test_data.py -> build/lib.linux-armv8l-3.6/sklearn/preprocessing/tests
copying sklearn/preprocessing/tests/test_function_transformer.py -> build/lib.linux-armv8l-3.6/sklearn/preprocessing/tests
copying sklearn/preprocessing/tests/__init__.py -> build/lib.linux-armv8l-3.6/sklearn/preprocessing/tests
copying sklearn/preprocessing/tests/test_label.py -> build/lib.linux-armv8l-3.6/sklearn/preprocessing/tests
creating build/lib.linux-armv8l-3.6/sklearn/semi_supervised
copying sklearn/semi_supervised/label_propagation.py -> build/lib.linux-armv8l-3.6/sklearn/semi_supervised
copying sklearn/semi_supervised/__init__.py -> build/lib.linux-armv8l-3.6/sklearn/semi_supervised
creating build/lib.linux-armv8l-3.6/sklearn/semi_supervised/tests
copying sklearn/semi_supervised/tests/test_label_propagation.py -> build/lib.linux-armv8l-3.6/sklearn/semi_supervised/tests
copying sklearn/semi_supervised/tests/__init__.py -> build/lib.linux-armv8l-3.6/sklearn/semi_supervised/tests
creating build/lib.linux-armv8l-3.6/sklearn/cluster
copying sklearn/cluster/k_means_.py -> build/lib.linux-armv8l-3.6/sklearn/cluster
copying sklearn/cluster/mean_shift_.py -> build/lib.linux-armv8l-3.6/sklearn/cluster
copying sklearn/cluster/spectral.py -> build/lib.linux-armv8l-3.6/sklearn/cluster
copying sklearn/cluster/dbscan_.py -> build/lib.linux-armv8l-3.6/sklearn/cluster
copying sklearn/cluster/birch.py -> build/lib.linux-armv8l-3.6/sklearn/cluster
copying sklearn/cluster/affinity_propagation_.py -> build/lib.linux-armv8l-3.6/sklearn/cluster
copying sklearn/cluster/setup.py -> build/lib.linux-armv8l-3.6/sklearn/cluster
copying sklearn/cluster/bicluster.py -> build/lib.linux-armv8l-3.6/sklearn/cluster
copying sklearn/cluster/hierarchical.py -> build/lib.linux-armv8l-3.6/sklearn/cluster
copying sklearn/cluster/__init__.py -> build/lib.linux-armv8l-3.6/sklearn/cluster
copying sklearn/cluster/_feature_agglomeration.py -> build/lib.linux-armv8l-3.6/sklearn/cluster
creating build/lib.linux-armv8l-3.6/sklearn/cluster/tests
copying sklearn/cluster/tests/common.py -> build/lib.linux-armv8l-3.6/sklearn/cluster/tests
copying sklearn/cluster/tests/test_spectral.py -> build/lib.linux-armv8l-3.6/sklearn/cluster/tests
copying sklearn/cluster/tests/test_dbscan.py -> build/lib.linux-armv8l-3.6/sklearn/cluster/tests
copying sklearn/cluster/tests/test_hierarchical.py -> build/lib.linux-armv8l-3.6/sklearn/cluster/tests
copying sklearn/cluster/tests/__init__.py -> build/lib.linux-armv8l-3.6/sklearn/cluster/tests
copying sklearn/cluster/tests/test_affinity_propagation.py -> build/lib.linux-armv8l-3.6/sklearn/cluster/tests
copying sklearn/cluster/tests/test_bicluster.py -> build/lib.linux-armv8l-3.6/sklearn/cluster/tests
copying sklearn/cluster/tests/test_k_means.py -> build/lib.linux-armv8l-3.6/sklearn/cluster/tests
copying sklearn/cluster/tests/test_birch.py -> build/lib.linux-armv8l-3.6/sklearn/cluster/tests
copying sklearn/cluster/tests/test_mean_shift.py -> build/lib.linux-armv8l-3.6/sklearn/cluster/tests
creating build/lib.linux-armv8l-3.6/sklearn/datasets
copying sklearn/datasets/california_housing.py -> build/lib.linux-armv8l-3.6/sklearn/datasets
copying sklearn/datasets/samples_generator.py -> build/lib.linux-armv8l-3.6/sklearn/datasets
copying sklearn/datasets/kddcup99.py -> build/lib.linux-armv8l-3.6/sklearn/datasets
copying sklearn/datasets/base.py -> build/lib.linux-armv8l-3.6/sklearn/datasets
copying sklearn/datasets/species_distributions.py -> build/lib.linux-armv8l-3.6/sklearn/datasets
copying sklearn/datasets/svmlight_format.py -> build/lib.linux-armv8l-3.6/sklearn/datasets
copying sklearn/datasets/rcv1.py -> build/lib.linux-armv8l-3.6/sklearn/datasets
copying sklearn/datasets/mlcomp.py -> build/lib.linux-armv8l-3.6/sklearn/datasets
copying sklearn/datasets/twenty_newsgroups.py -> build/lib.linux-armv8l-3.6/sklearn/datasets
copying sklearn/datasets/setup.py -> build/lib.linux-armv8l-3.6/sklearn/datasets
copying sklearn/datasets/covtype.py -> build/lib.linux-armv8l-3.6/sklearn/datasets
copying sklearn/datasets/mldata.py -> build/lib.linux-armv8l-3.6/sklearn/datasets
copying sklearn/datasets/__init__.py -> build/lib.linux-armv8l-3.6/sklearn/datasets
copying sklearn/datasets/lfw.py -> build/lib.linux-armv8l-3.6/sklearn/datasets
copying sklearn/datasets/olivetti_faces.py -> build/lib.linux-armv8l-3.6/sklearn/datasets
creating build/lib.linux-armv8l-3.6/sklearn/datasets/tests
copying sklearn/datasets/tests/test_20news.py -> build/lib.linux-armv8l-3.6/sklearn/datasets/tests
copying sklearn/datasets/tests/test_rcv1.py -> build/lib.linux-armv8l-3.6/sklearn/datasets/tests
copying sklearn/datasets/tests/__init__.py -> build/lib.linux-armv8l-3.6/sklearn/datasets/tests
copying sklearn/datasets/tests/test_base.py -> build/lib.linux-armv8l-3.6/sklearn/datasets/tests
copying sklearn/datasets/tests/test_svmlight_format.py -> build/lib.linux-armv8l-3.6/sklearn/datasets/tests
copying sklearn/datasets/tests/test_covtype.py -> build/lib.linux-armv8l-3.6/sklearn/datasets/tests
copying sklearn/datasets/tests/test_lfw.py -> build/lib.linux-armv8l-3.6/sklearn/datasets/tests
copying sklearn/datasets/tests/test_mldata.py -> build/lib.linux-armv8l-3.6/sklearn/datasets/tests
copying sklearn/datasets/tests/test_kddcup99.py -> build/lib.linux-armv8l-3.6/sklearn/datasets/tests
copying sklearn/datasets/tests/test_samples_generator.py -> build/lib.linux-armv8l-3.6/sklearn/datasets/tests
creating build/lib.linux-armv8l-3.6/sklearn/decomposition
copying sklearn/decomposition/base.py -> build/lib.linux-armv8l-3.6/sklearn/decomposition
copying sklearn/decomposition/pca.py -> build/lib.linux-armv8l-3.6/sklearn/decomposition
copying sklearn/decomposition/truncated_svd.py -> build/lib.linux-armv8l-3.6/sklearn/decomposition
copying sklearn/decomposition/fastica_.py -> build/lib.linux-armv8l-3.6/sklearn/decomposition
copying sklearn/decomposition/setup.py -> build/lib.linux-armv8l-3.6/sklearn/decomposition
copying sklearn/decomposition/online_lda.py -> build/lib.linux-armv8l-3.6/sklearn/decomposition
copying sklearn/decomposition/dict_learning.py -> build/lib.linux-armv8l-3.6/sklearn/decomposition
copying sklearn/decomposition/factor_analysis.py -> build/lib.linux-armv8l-3.6/sklearn/decomposition
copying sklearn/decomposition/kernel_pca.py -> build/lib.linux-armv8l-3.6/sklearn/decomposition
copying sklearn/decomposition/nmf.py -> build/lib.linux-armv8l-3.6/sklearn/decomposition
copying sklearn/decomposition/__init__.py -> build/lib.linux-armv8l-3.6/sklearn/decomposition
copying sklearn/decomposition/incremental_pca.py -> build/lib.linux-armv8l-3.6/sklearn/decomposition
copying sklearn/decomposition/sparse_pca.py -> build/lib.linux-armv8l-3.6/sklearn/decomposition
creating build/lib.linux-armv8l-3.6/sklearn/decomposition/tests
copying sklearn/decomposition/tests/test_pca.py -> build/lib.linux-armv8l-3.6/sklearn/decomposition/tests
copying sklearn/decomposition/tests/test_kernel_pca.py -> build/lib.linux-armv8l-3.6/sklearn/decomposition/tests
copying sklearn/decomposition/tests/test_dict_learning.py -> build/lib.linux-armv8l-3.6/sklearn/decomposition/tests
copying sklearn/decomposition/tests/test_incremental_pca.py -> build/lib.linux-armv8l-3.6/sklearn/decomposition/tests
copying sklearn/decomposition/tests/test_online_lda.py -> build/lib.linux-armv8l-3.6/sklearn/decomposition/tests
copying sklearn/decomposition/tests/test_factor_analysis.py -> build/lib.linux-armv8l-3.6/sklearn/decomposition/tests
copying sklearn/decomposition/tests/test_sparse_pca.py -> build/lib.linux-armv8l-3.6/sklearn/decomposition/tests
copying sklearn/decomposition/tests/__init__.py -> build/lib.linux-armv8l-3.6/sklearn/decomposition/tests
copying sklearn/decomposition/tests/test_truncated_svd.py -> build/lib.linux-armv8l-3.6/sklearn/decomposition/tests
copying sklearn/decomposition/tests/test_fastica.py -> build/lib.linux-armv8l-3.6/sklearn/decomposition/tests
copying sklearn/decomposition/tests/test_nmf.py -> build/lib.linux-armv8l-3.6/sklearn/decomposition/tests
creating build/lib.linux-armv8l-3.6/sklearn/ensemble
copying sklearn/ensemble/voting_classifier.py -> build/lib.linux-armv8l-3.6/sklearn/ensemble
copying sklearn/ensemble/base.py -> build/lib.linux-armv8l-3.6/sklearn/ensemble
copying sklearn/ensemble/weight_boosting.py -> build/lib.linux-armv8l-3.6/sklearn/ensemble
copying sklearn/ensemble/partial_dependence.py -> build/lib.linux-armv8l-3.6/sklearn/ensemble
copying sklearn/ensemble/bagging.py -> build/lib.linux-armv8l-3.6/sklearn/ensemble
copying sklearn/ensemble/gradient_boosting.py -> build/lib.linux-armv8l-3.6/sklearn/ensemble
copying sklearn/ensemble/setup.py -> build/lib.linux-armv8l-3.6/sklearn/ensemble
copying sklearn/ensemble/forest.py -> build/lib.linux-armv8l-3.6/sklearn/ensemble
copying sklearn/ensemble/__init__.py -> build/lib.linux-armv8l-3.6/sklearn/ensemble
copying sklearn/ensemble/iforest.py -> build/lib.linux-armv8l-3.6/sklearn/ensemble
creating build/lib.linux-armv8l-3.6/sklearn/ensemble/tests
copying sklearn/ensemble/tests/test_iforest.py -> build/lib.linux-armv8l-3.6/sklearn/ensemble/tests
copying sklearn/ensemble/tests/test_partial_dependence.py -> build/lib.linux-armv8l-3.6/sklearn/ensemble/tests
copying sklearn/ensemble/tests/test_forest.py -> build/lib.linux-armv8l-3.6/sklearn/ensemble/tests
copying sklearn/ensemble/tests/test_weight_boosting.py -> build/lib.linux-armv8l-3.6/sklearn/ensemble/tests
copying sklearn/ensemble/tests/test_gradient_boosting.py -> build/lib.linux-armv8l-3.6/sklearn/ensemble/tests
copying sklearn/ensemble/tests/__init__.py -> build/lib.linux-armv8l-3.6/sklearn/ensemble/tests
copying sklearn/ensemble/tests/test_base.py -> build/lib.linux-armv8l-3.6/sklearn/ensemble/tests
copying sklearn/ensemble/tests/test_gradient_boosting_loss_functions.py -> build/lib.linux-armv8l-3.6/sklearn/ensemble/tests
copying sklearn/ensemble/tests/test_voting_classifier.py -> build/lib.linux-armv8l-3.6/sklearn/ensemble/tests
copying sklearn/ensemble/tests/test_bagging.py -> build/lib.linux-armv8l-3.6/sklearn/ensemble/tests
creating build/lib.linux-armv8l-3.6/sklearn/externals
copying sklearn/externals/funcsigs.py -> build/lib.linux-armv8l-3.6/sklearn/externals
copying sklearn/externals/test_externals_setup.py -> build/lib.linux-armv8l-3.6/sklearn/externals
copying sklearn/externals/setup.py -> build/lib.linux-armv8l-3.6/sklearn/externals
copying sklearn/externals/__init__.py -> build/lib.linux-armv8l-3.6/sklearn/externals
copying sklearn/externals/six.py -> build/lib.linux-armv8l-3.6/sklearn/externals
creating build/lib.linux-armv8l-3.6/sklearn/externals/joblib
copying sklearn/externals/joblib/__init__.py -> build/lib.linux-armv8l-3.6/sklearn/externals/joblib
creating build/lib.linux-armv8l-3.6/sklearn/feature_extraction
copying sklearn/feature_extraction/text.py -> build/lib.linux-armv8l-3.6/sklearn/feature_extraction
copying sklearn/feature_extraction/setup.py -> build/lib.linux-armv8l-3.6/sklearn/feature_extraction
copying sklearn/feature_extraction/dict_vectorizer.py -> build/lib.linux-armv8l-3.6/sklearn/feature_extraction
copying sklearn/feature_extraction/hashing.py -> build/lib.linux-armv8l-3.6/sklearn/feature_extraction
copying sklearn/feature_extraction/__init__.py -> build/lib.linux-armv8l-3.6/sklearn/feature_extraction
copying sklearn/feature_extraction/image.py -> build/lib.linux-armv8l-3.6/sklearn/feature_extraction
copying sklearn/feature_extraction/stop_words.py -> build/lib.linux-armv8l-3.6/sklearn/feature_extraction
creating build/lib.linux-armv8l-3.6/sklearn/feature_extraction/tests
copying sklearn/feature_extraction/tests/test_feature_hasher.py -> build/lib.linux-armv8l-3.6/sklearn/feature_extraction/tests
copying sklearn/feature_extraction/tests/test_dict_vectorizer.py -> build/lib.linux-armv8l-3.6/sklearn/feature_extraction/tests
copying sklearn/feature_extraction/tests/__init__.py -> build/lib.linux-armv8l-3.6/sklearn/feature_extraction/tests
copying sklearn/feature_extraction/tests/test_text.py -> build/lib.linux-armv8l-3.6/sklearn/feature_extraction/tests
copying sklearn/feature_extraction/tests/test_image.py -> build/lib.linux-armv8l-3.6/sklearn/feature_extraction/tests
creating build/lib.linux-armv8l-3.6/sklearn/manifold
copying sklearn/manifold/spectral_embedding_.py -> build/lib.linux-armv8l-3.6/sklearn/manifold
copying sklearn/manifold/isomap.py -> build/lib.linux-armv8l-3.6/sklearn/manifold
copying sklearn/manifold/locally_linear.py -> build/lib.linux-armv8l-3.6/sklearn/manifold
copying sklearn/manifold/setup.py -> build/lib.linux-armv8l-3.6/sklearn/manifold
copying sklearn/manifold/__init__.py -> build/lib.linux-armv8l-3.6/sklearn/manifold
copying sklearn/manifold/mds.py -> build/lib.linux-armv8l-3.6/sklearn/manifold
copying sklearn/manifold/t_sne.py -> build/lib.linux-armv8l-3.6/sklearn/manifold
creating build/lib.linux-armv8l-3.6/sklearn/manifold/tests
copying sklearn/manifold/tests/test_spectral_embedding.py -> build/lib.linux-armv8l-3.6/sklearn/manifold/tests
copying sklearn/manifold/tests/test_mds.py -> build/lib.linux-armv8l-3.6/sklearn/manifold/tests
copying sklearn/manifold/tests/test_isomap.py -> build/lib.linux-armv8l-3.6/sklearn/manifold/tests
copying sklearn/manifold/tests/__init__.py -> build/lib.linux-armv8l-3.6/sklearn/manifold/tests
copying sklearn/manifold/tests/test_locally_linear.py -> build/lib.linux-armv8l-3.6/sklearn/manifold/tests
copying sklearn/manifold/tests/test_t_sne.py -> build/lib.linux-armv8l-3.6/sklearn/manifold/tests
creating build/lib.linux-armv8l-3.6/sklearn/metrics
copying sklearn/metrics/regression.py -> build/lib.linux-armv8l-3.6/sklearn/metrics
copying sklearn/metrics/base.py -> build/lib.linux-armv8l-3.6/sklearn/metrics
copying sklearn/metrics/pairwise.py -> build/lib.linux-armv8l-3.6/sklearn/metrics
copying sklearn/metrics/setup.py -> build/lib.linux-armv8l-3.6/sklearn/metrics
copying sklearn/metrics/ranking.py -> build/lib.linux-armv8l-3.6/sklearn/metrics
copying sklearn/metrics/scorer.py -> build/lib.linux-armv8l-3.6/sklearn/metrics
copying sklearn/metrics/__init__.py -> build/lib.linux-armv8l-3.6/sklearn/metrics
copying sklearn/metrics/classification.py -> build/lib.linux-armv8l-3.6/sklearn/metrics
creating build/lib.linux-armv8l-3.6/sklearn/metrics/cluster
copying sklearn/metrics/cluster/unsupervised.py -> build/lib.linux-armv8l-3.6/sklearn/metrics/cluster
copying sklearn/metrics/cluster/setup.py -> build/lib.linux-armv8l-3.6/sklearn/metrics/cluster
copying sklearn/metrics/cluster/bicluster.py -> build/lib.linux-armv8l-3.6/sklearn/metrics/cluster
copying sklearn/metrics/cluster/__init__.py -> build/lib.linux-armv8l-3.6/sklearn/metrics/cluster
copying sklearn/metrics/cluster/supervised.py -> build/lib.linux-armv8l-3.6/sklearn/metrics/cluster
creating build/lib.linux-armv8l-3.6/sklearn/metrics/cluster/tests
copying sklearn/metrics/cluster/tests/test_supervised.py -> build/lib.linux-armv8l-3.6/sklearn/metrics/cluster/tests
copying sklearn/metrics/cluster/tests/__init__.py -> build/lib.linux-armv8l-3.6/sklearn/metrics/cluster/tests
copying sklearn/metrics/cluster/tests/test_unsupervised.py -> build/lib.linux-armv8l-3.6/sklearn/metrics/cluster/tests
copying sklearn/metrics/cluster/tests/test_bicluster.py -> build/lib.linux-armv8l-3.6/sklearn/metrics/cluster/tests
creating build/lib.linux-armv8l-3.6/sklearn/metrics/tests
copying sklearn/metrics/tests/test_common.py -> build/lib.linux-armv8l-3.6/sklearn/metrics/tests
copying sklearn/metrics/tests/test_regression.py -> build/lib.linux-armv8l-3.6/sklearn/metrics/tests
copying sklearn/metrics/tests/test_score_objects.py -> build/lib.linux-armv8l-3.6/sklearn/metrics/tests
copying sklearn/metrics/tests/test_ranking.py -> build/lib.linux-armv8l-3.6/sklearn/metrics/tests
copying sklearn/metrics/tests/test_classification.py -> build/lib.linux-armv8l-3.6/sklearn/metrics/tests
copying sklearn/metrics/tests/__init__.py -> build/lib.linux-armv8l-3.6/sklearn/metrics/tests
copying sklearn/metrics/tests/test_pairwise.py -> build/lib.linux-armv8l-3.6/sklearn/metrics/tests
creating build/lib.linux-armv8l-3.6/sklearn/neighbors
copying sklearn/neighbors/unsupervised.py -> build/lib.linux-armv8l-3.6/sklearn/neighbors
copying sklearn/neighbors/regression.py -> build/lib.linux-armv8l-3.6/sklearn/neighbors
copying sklearn/neighbors/base.py -> build/lib.linux-armv8l-3.6/sklearn/neighbors
copying sklearn/neighbors/graph.py -> build/lib.linux-armv8l-3.6/sklearn/neighbors
copying sklearn/neighbors/kde.py -> build/lib.linux-armv8l-3.6/sklearn/neighbors
copying sklearn/neighbors/setup.py -> build/lib.linux-armv8l-3.6/sklearn/neighbors
copying sklearn/neighbors/nearest_centroid.py -> build/lib.linux-armv8l-3.6/sklearn/neighbors
copying sklearn/neighbors/lof.py -> build/lib.linux-armv8l-3.6/sklearn/neighbors
copying sklearn/neighbors/__init__.py -> build/lib.linux-armv8l-3.6/sklearn/neighbors
copying sklearn/neighbors/approximate.py -> build/lib.linux-armv8l-3.6/sklearn/neighbors
copying sklearn/neighbors/classification.py -> build/lib.linux-armv8l-3.6/sklearn/neighbors
creating build/lib.linux-armv8l-3.6/sklearn/neighbors/tests
copying sklearn/neighbors/tests/test_kd_tree.py -> build/lib.linux-armv8l-3.6/sklearn/neighbors/tests
copying sklearn/neighbors/tests/test_kde.py -> build/lib.linux-armv8l-3.6/sklearn/neighbors/tests
copying sklearn/neighbors/tests/test_dist_metrics.py -> build/lib.linux-armv8l-3.6/sklearn/neighbors/tests
copying sklearn/neighbors/tests/test_neighbors.py -> build/lib.linux-armv8l-3.6/sklearn/neighbors/tests
copying sklearn/neighbors/tests/test_nearest_centroid.py -> build/lib.linux-armv8l-3.6/sklearn/neighbors/tests
copying sklearn/neighbors/tests/__init__.py -> build/lib.linux-armv8l-3.6/sklearn/neighbors/tests
copying sklearn/neighbors/tests/test_lof.py -> build/lib.linux-armv8l-3.6/sklearn/neighbors/tests
copying sklearn/neighbors/tests/test_quad_tree.py -> build/lib.linux-armv8l-3.6/sklearn/neighbors/tests
copying sklearn/neighbors/tests/test_ball_tree.py -> build/lib.linux-armv8l-3.6/sklearn/neighbors/tests
copying sklearn/neighbors/tests/test_approximate.py -> build/lib.linux-armv8l-3.6/sklearn/neighbors/tests
creating build/lib.linux-armv8l-3.6/sklearn/tree
copying sklearn/tree/tree.py -> build/lib.linux-armv8l-3.6/sklearn/tree
copying sklearn/tree/setup.py -> build/lib.linux-armv8l-3.6/sklearn/tree
copying sklearn/tree/export.py -> build/lib.linux-armv8l-3.6/sklearn/tree
copying sklearn/tree/__init__.py -> build/lib.linux-armv8l-3.6/sklearn/tree
creating build/lib.linux-armv8l-3.6/sklearn/tree/tests
copying sklearn/tree/tests/test_tree.py -> build/lib.linux-armv8l-3.6/sklearn/tree/tests
copying sklearn/tree/tests/test_export.py -> build/lib.linux-armv8l-3.6/sklearn/tree/tests
copying sklearn/tree/tests/__init__.py -> build/lib.linux-armv8l-3.6/sklearn/tree/tests
creating build/lib.linux-armv8l-3.6/sklearn/svm
copying sklearn/svm/base.py -> build/lib.linux-armv8l-3.6/sklearn/svm
copying sklearn/svm/classes.py -> build/lib.linux-armv8l-3.6/sklearn/svm
copying sklearn/svm/setup.py -> build/lib.linux-armv8l-3.6/sklearn/svm
copying sklearn/svm/__init__.py -> build/lib.linux-armv8l-3.6/sklearn/svm
copying sklearn/svm/bounds.py -> build/lib.linux-armv8l-3.6/sklearn/svm
creating build/lib.linux-armv8l-3.6/sklearn/svm/tests
copying sklearn/svm/tests/test_svm.py -> build/lib.linux-armv8l-3.6/sklearn/svm/tests
copying sklearn/svm/tests/test_bounds.py -> build/lib.linux-armv8l-3.6/sklearn/svm/tests
copying sklearn/svm/tests/__init__.py -> build/lib.linux-armv8l-3.6/sklearn/svm/tests
copying sklearn/svm/tests/test_sparse.py -> build/lib.linux-armv8l-3.6/sklearn/svm/tests
creating build/lib.linux-armv8l-3.6/sklearn/linear_model
copying sklearn/linear_model/logistic.py -> build/lib.linux-armv8l-3.6/sklearn/linear_model
copying sklearn/linear_model/bayes.py -> build/lib.linux-armv8l-3.6/sklearn/linear_model
copying sklearn/linear_model/omp.py -> build/lib.linux-armv8l-3.6/sklearn/linear_model
copying sklearn/linear_model/sag.py -> build/lib.linux-armv8l-3.6/sklearn/linear_model
copying sklearn/linear_model/perceptron.py -> build/lib.linux-armv8l-3.6/sklearn/linear_model
copying sklearn/linear_model/base.py -> build/lib.linux-armv8l-3.6/sklearn/linear_model
copying sklearn/linear_model/randomized_l1.py -> build/lib.linux-armv8l-3.6/sklearn/linear_model
copying sklearn/linear_model/ridge.py -> build/lib.linux-armv8l-3.6/sklearn/linear_model
copying sklearn/linear_model/ransac.py -> build/lib.linux-armv8l-3.6/sklearn/linear_model
copying sklearn/linear_model/setup.py -> build/lib.linux-armv8l-3.6/sklearn/linear_model
copying sklearn/linear_model/passive_aggressive.py -> build/lib.linux-armv8l-3.6/sklearn/linear_model
copying sklearn/linear_model/coordinate_descent.py -> build/lib.linux-armv8l-3.6/sklearn/linear_model
copying sklearn/linear_model/stochastic_gradient.py -> build/lib.linux-armv8l-3.6/sklearn/linear_model
copying sklearn/linear_model/__init__.py -> build/lib.linux-armv8l-3.6/sklearn/linear_model
copying sklearn/linear_model/huber.py -> build/lib.linux-armv8l-3.6/sklearn/linear_model
copying sklearn/linear_model/theil_sen.py -> build/lib.linux-armv8l-3.6/sklearn/linear_model
copying sklearn/linear_model/least_angle.py -> build/lib.linux-armv8l-3.6/sklearn/linear_model
creating build/lib.linux-armv8l-3.6/sklearn/linear_model/tests
copying sklearn/linear_model/tests/test_randomized_l1.py -> build/lib.linux-armv8l-3.6/sklearn/linear_model/tests
copying sklearn/linear_model/tests/test_sparse_coordinate_descent.py -> build/lib.linux-armv8l-3.6/sklearn/linear_model/tests
copying sklearn/linear_model/tests/test_huber.py -> build/lib.linux-armv8l-3.6/sklearn/linear_model/tests
copying sklearn/linear_model/tests/test_passive_aggressive.py -> build/lib.linux-armv8l-3.6/sklearn/linear_model/tests
copying sklearn/linear_model/tests/test_ransac.py -> build/lib.linux-armv8l-3.6/sklearn/linear_model/tests
copying sklearn/linear_model/tests/test_bayes.py -> build/lib.linux-armv8l-3.6/sklearn/linear_model/tests
copying sklearn/linear_model/tests/test_theil_sen.py -> build/lib.linux-armv8l-3.6/sklearn/linear_model/tests
copying sklearn/linear_model/tests/test_logistic.py -> build/lib.linux-armv8l-3.6/sklearn/linear_model/tests
copying sklearn/linear_model/tests/test_perceptron.py -> build/lib.linux-armv8l-3.6/sklearn/linear_model/tests
copying sklearn/linear_model/tests/test_omp.py -> build/lib.linux-armv8l-3.6/sklearn/linear_model/tests
copying sklearn/linear_model/tests/__init__.py -> build/lib.linux-armv8l-3.6/sklearn/linear_model/tests
copying sklearn/linear_model/tests/test_base.py -> build/lib.linux-armv8l-3.6/sklearn/linear_model/tests
copying sklearn/linear_model/tests/test_sag.py -> build/lib.linux-armv8l-3.6/sklearn/linear_model/tests
copying sklearn/linear_model/tests/test_sgd.py -> build/lib.linux-armv8l-3.6/sklearn/linear_model/tests
copying sklearn/linear_model/tests/test_ridge.py -> build/lib.linux-armv8l-3.6/sklearn/linear_model/tests
copying sklearn/linear_model/tests/test_least_angle.py -> build/lib.linux-armv8l-3.6/sklearn/linear_model/tests
copying sklearn/linear_model/tests/test_coordinate_descent.py -> build/lib.linux-armv8l-3.6/sklearn/linear_model/tests
creating build/lib.linux-armv8l-3.6/sklearn/utils
copying sklearn/utils/random.py -> build/lib.linux-armv8l-3.6/sklearn/utils
copying sklearn/utils/multiclass.py -> build/lib.linux-armv8l-3.6/sklearn/utils
copying sklearn/utils/testing.py -> build/lib.linux-armv8l-3.6/sklearn/utils
copying sklearn/utils/class_weight.py -> build/lib.linux-armv8l-3.6/sklearn/utils
copying sklearn/utils/_scipy_sparse_lsqr_backport.py -> build/lib.linux-armv8l-3.6/sklearn/utils
copying sklearn/utils/estimator_checks.py -> build/lib.linux-armv8l-3.6/sklearn/utils
copying sklearn/utils/graph.py -> build/lib.linux-armv8l-3.6/sklearn/utils
copying sklearn/utils/deprecation.py -> build/lib.linux-armv8l-3.6/sklearn/utils
copying sklearn/utils/extmath.py -> build/lib.linux-armv8l-3.6/sklearn/utils
copying sklearn/utils/setup.py -> build/lib.linux-armv8l-3.6/sklearn/utils
copying sklearn/utils/validation.py -> build/lib.linux-armv8l-3.6/sklearn/utils
copying sklearn/utils/fixes.py -> build/lib.linux-armv8l-3.6/sklearn/utils
copying sklearn/utils/arpack.py -> build/lib.linux-armv8l-3.6/sklearn/utils
copying sklearn/utils/__init__.py -> build/lib.linux-armv8l-3.6/sklearn/utils
copying sklearn/utils/bench.py -> build/lib.linux-armv8l-3.6/sklearn/utils
copying sklearn/utils/linear_assignment_.py -> build/lib.linux-armv8l-3.6/sklearn/utils
copying sklearn/utils/stats.py -> build/lib.linux-armv8l-3.6/sklearn/utils
copying sklearn/utils/metaestimators.py -> build/lib.linux-armv8l-3.6/sklearn/utils
copying sklearn/utils/sparsefuncs.py -> build/lib.linux-armv8l-3.6/sklearn/utils
copying sklearn/utils/mocking.py -> build/lib.linux-armv8l-3.6/sklearn/utils
copying sklearn/utils/optimize.py -> build/lib.linux-armv8l-3.6/sklearn/utils
creating build/lib.linux-armv8l-3.6/sklearn/utils/sparsetools
copying sklearn/utils/sparsetools/setup.py -> build/lib.linux-armv8l-3.6/sklearn/utils/sparsetools
copying sklearn/utils/sparsetools/__init__.py -> build/lib.linux-armv8l-3.6/sklearn/utils/sparsetools
creating build/lib.linux-armv8l-3.6/sklearn/utils/sparsetools/tests
copying sklearn/utils/sparsetools/tests/__init__.py -> build/lib.linux-armv8l-3.6/sklearn/utils/sparsetools/tests
creating build/lib.linux-armv8l-3.6/sklearn/utils/tests
copying sklearn/utils/tests/test_testing.py -> build/lib.linux-armv8l-3.6/sklearn/utils/tests
copying sklearn/utils/tests/test_optimize.py -> build/lib.linux-armv8l-3.6/sklearn/utils/tests
copying sklearn/utils/tests/test_random.py -> build/lib.linux-armv8l-3.6/sklearn/utils/tests
copying sklearn/utils/tests/test_class_weight.py -> build/lib.linux-armv8l-3.6/sklearn/utils/tests
copying sklearn/utils/tests/test_estimator_checks.py -> build/lib.linux-armv8l-3.6/sklearn/utils/tests
copying sklearn/utils/tests/test_multiclass.py -> build/lib.linux-armv8l-3.6/sklearn/utils/tests
copying sklearn/utils/tests/test_murmurhash.py -> build/lib.linux-armv8l-3.6/sklearn/utils/tests
copying sklearn/utils/tests/test_fixes.py -> build/lib.linux-armv8l-3.6/sklearn/utils/tests
copying sklearn/utils/tests/test_graph.py -> build/lib.linux-armv8l-3.6/sklearn/utils/tests
copying sklearn/utils/tests/test_utils.py -> build/lib.linux-armv8l-3.6/sklearn/utils/tests
copying sklearn/utils/tests/test_deprecation.py -> build/lib.linux-armv8l-3.6/sklearn/utils/tests
copying sklearn/utils/tests/test_stats.py -> build/lib.linux-armv8l-3.6/sklearn/utils/tests
copying sklearn/utils/tests/__init__.py -> build/lib.linux-armv8l-3.6/sklearn/utils/tests
copying sklearn/utils/tests/test_seq_dataset.py -> build/lib.linux-armv8l-3.6/sklearn/utils/tests
copying sklearn/utils/tests/test_metaestimators.py -> build/lib.linux-armv8l-3.6/sklearn/utils/tests
copying sklearn/utils/tests/test_bench.py -> build/lib.linux-armv8l-3.6/sklearn/utils/tests
copying sklearn/utils/tests/test_extmath.py -> build/lib.linux-armv8l-3.6/sklearn/utils/tests
copying sklearn/utils/tests/test_sparsefuncs.py -> build/lib.linux-armv8l-3.6/sklearn/utils/tests
copying sklearn/utils/tests/test_fast_dict.py -> build/lib.linux-armv8l-3.6/sklearn/utils/tests
copying sklearn/utils/tests/test_shortest_path.py -> build/lib.linux-armv8l-3.6/sklearn/utils/tests
copying sklearn/utils/tests/test_validation.py -> build/lib.linux-armv8l-3.6/sklearn/utils/tests
copying sklearn/utils/tests/test_linear_assignment.py -> build/lib.linux-armv8l-3.6/sklearn/utils/tests
creating build/lib.linux-armv8l-3.6/sklearn/tests
copying sklearn/tests/test_naive_bayes.py -> build/lib.linux-armv8l-3.6/sklearn/tests
copying sklearn/tests/test_grid_search.py -> build/lib.linux-armv8l-3.6/sklearn/tests
copying sklearn/tests/test_discriminant_analysis.py -> build/lib.linux-armv8l-3.6/sklearn/tests
copying sklearn/tests/test_common.py -> build/lib.linux-armv8l-3.6/sklearn/tests
copying sklearn/tests/test_init.py -> build/lib.linux-armv8l-3.6/sklearn/tests
copying sklearn/tests/test_isotonic.py -> build/lib.linux-armv8l-3.6/sklearn/tests
copying sklearn/tests/test_multioutput.py -> build/lib.linux-armv8l-3.6/sklearn/tests
copying sklearn/tests/test_kernel_ridge.py -> build/lib.linux-armv8l-3.6/sklearn/tests
copying sklearn/tests/test_config.py -> build/lib.linux-armv8l-3.6/sklearn/tests
copying sklearn/tests/test_docstring_parameters.py -> build/lib.linux-armv8l-3.6/sklearn/tests
copying sklearn/tests/test_multiclass.py -> build/lib.linux-armv8l-3.6/sklearn/tests
copying sklearn/tests/test_dummy.py -> build/lib.linux-armv8l-3.6/sklearn/tests
copying sklearn/tests/test_calibration.py -> build/lib.linux-armv8l-3.6/sklearn/tests
copying sklearn/tests/test_random_projection.py -> build/lib.linux-armv8l-3.6/sklearn/tests
copying sklearn/tests/__init__.py -> build/lib.linux-armv8l-3.6/sklearn/tests
copying sklearn/tests/test_base.py -> build/lib.linux-armv8l-3.6/sklearn/tests
copying sklearn/tests/test_cross_validation.py -> build/lib.linux-armv8l-3.6/sklearn/tests
copying sklearn/tests/test_kernel_approximation.py -> build/lib.linux-armv8l-3.6/sklearn/tests
copying sklearn/tests/test_metaestimators.py -> build/lib.linux-armv8l-3.6/sklearn/tests
copying sklearn/tests/test_pipeline.py -> build/lib.linux-armv8l-3.6/sklearn/tests
copying sklearn/tests/test_check_build.py -> build/lib.linux-armv8l-3.6/sklearn/tests
copying sklearn/tests/test_learning_curve.py -> build/lib.linux-armv8l-3.6/sklearn/tests
running build_clib
customize UnixCCompiler
customize UnixCCompiler using build_clib
building 'libsvm-skl' library
compiling C++ sources
C compiler: arm-linux-gnueabihf-g++ -pthread -DNDEBUG -g -fwrapv -O2 -Wall -g -O2 -fdebug-prefix-map=/<<PKGBUILDDIR>>=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC
creating build/temp.linux-armv8l-3.6
creating build/temp.linux-armv8l-3.6/sklearn
creating build/temp.linux-armv8l-3.6/sklearn/svm
creating build/temp.linux-armv8l-3.6/sklearn/svm/src
creating build/temp.linux-armv8l-3.6/sklearn/svm/src/libsvm
compile options: '-I/usr/lib/python3/dist-packages/numpy/core/include -c'
arm-linux-gnueabihf-g++: sklearn/svm/src/libsvm/libsvm_template.cpp
arm-linux-gnueabihf-gcc-ar: adding 1 object files to build/temp.linux-armv8l-3.6/liblibsvm-skl.a
building 'cblas' library
compiling C sources
C compiler: arm-linux-gnueabihf-gcc -pthread -DNDEBUG -g -fwrapv -O2 -Wall -g -O2 -fdebug-prefix-map=/<<PKGBUILDDIR>>=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC
creating build/temp.linux-armv8l-3.6/sklearn/src
creating build/temp.linux-armv8l-3.6/sklearn/src/cblas
compile options: '-I/usr/lib/python3/dist-packages/numpy/core/include -c'
arm-linux-gnueabihf-gcc: sklearn/src/cblas/cblas_sscal.c
arm-linux-gnueabihf-gcc: sklearn/src/cblas/cblas_dger.c
sklearn/src/cblas/cblas_dger.c: In function 'cblas_dger':
sklearn/src/cblas/cblas_dger.c:73:7: warning: implicit declaration of function 'cblas_xerbla'; did you mean 'cblas_zher2k'? [-Wimplicit-function-declaration]
cblas_xerbla(info, "cblas_dger", "");
^~~~~~~~~~~~
cblas_zher2k
In file included from sklearn/src/cblas/cblas_dger.c:32:0:
At top level:
sklearn/src/cblas/atlas_misc.h:409:14: warning: 'ATL_Align2Ptr' defined but not used [-Wunused-function]
static void *ATL_Align2Ptr(const void *pu, const void *pA)
^~~~~~~~~~~~~
sklearn/src/cblas/atlas_misc.h:393:12: warning: 'ATL_AlignOffset' defined but not used [-Wunused-function]
static int ATL_AlignOffset
^~~~~~~~~~~~~~~
arm-linux-gnueabihf-gcc: sklearn/src/cblas/ATL_srefnrm2.c
arm-linux-gnueabihf-gcc: sklearn/src/cblas/cblas_saxpy.c
arm-linux-gnueabihf-gcc: sklearn/src/cblas/cblas_drotg.c
In file included from sklearn/src/cblas/cblas_drotg.c:32:0:
sklearn/src/cblas/atlas_misc.h:409:14: warning: 'ATL_Align2Ptr' defined but not used [-Wunused-function]
static void *ATL_Align2Ptr(const void *pu, const void *pA)
^~~~~~~~~~~~~
sklearn/src/cblas/atlas_misc.h:393:12: warning: 'ATL_AlignOffset' defined but not used [-Wunused-function]
static int ATL_AlignOffset
^~~~~~~~~~~~~~~
arm-linux-gnueabihf-gcc: sklearn/src/cblas/ATL_srefgemvN.c
arm-linux-gnueabihf-gcc: sklearn/src/cblas/cblas_dasum.c
In file included from sklearn/src/cblas/cblas_dasum.c:32:0:
sklearn/src/cblas/atlas_misc.h:409:14: warning: 'ATL_Align2Ptr' defined but not used [-Wunused-function]
static void *ATL_Align2Ptr(const void *pu, const void *pA)
^~~~~~~~~~~~~
sklearn/src/cblas/atlas_misc.h:393:12: warning: 'ATL_AlignOffset' defined but not used [-Wunused-function]
static int ATL_AlignOffset
^~~~~~~~~~~~~~~
arm-linux-gnueabihf-gcc: sklearn/src/cblas/ATL_srefcopy.c
arm-linux-gnueabihf-gcc: sklearn/src/cblas/ATL_srefasum.c
arm-linux-gnueabihf-gcc: sklearn/src/cblas/cblas_srot.c
In file included from sklearn/src/cblas/cblas_srot.c:32:0:
sklearn/src/cblas/atlas_misc.h:409:14: warning: 'ATL_Align2Ptr' defined but not used [-Wunused-function]
static void *ATL_Align2Ptr(const void *pu, const void *pA)
^~~~~~~~~~~~~
sklearn/src/cblas/atlas_misc.h:393:12: warning: 'ATL_AlignOffset' defined but not used [-Wunused-function]
static int ATL_AlignOffset
^~~~~~~~~~~~~~~
arm-linux-gnueabihf-gcc: sklearn/src/cblas/cblas_dnrm2.c
arm-linux-gnueabihf-gcc: sklearn/src/cblas/cblas_ddot.c
arm-linux-gnueabihf-gcc: sklearn/src/cblas/cblas_dscal.c
arm-linux-gnueabihf-gcc: sklearn/src/cblas/cblas_snrm2.c
In file included from sklearn/src/cblas/cblas_snrm2.c:32:0:
sklearn/src/cblas/atlas_misc.h:409:14: warning: 'ATL_Align2Ptr' defined but not used [-Wunused-function]
static void *ATL_Align2Ptr(const void *pu, const void *pA)
^~~~~~~~~~~~~
sklearn/src/cblas/atlas_misc.h:393:12: warning: 'ATL_AlignOffset' defined but not used [-Wunused-function]
static int ATL_AlignOffset
^~~~~~~~~~~~~~~
arm-linux-gnueabihf-gcc: sklearn/src/cblas/ATL_srefger.c
arm-linux-gnueabihf-gcc: sklearn/src/cblas/cblas_sasum.c
In file included from sklearn/src/cblas/cblas_sasum.c:32:0:
sklearn/src/cblas/atlas_misc.h:409:14: warning: 'ATL_Align2Ptr' defined but not used [-Wunused-function]
static void *ATL_Align2Ptr(const void *pu, const void *pA)
^~~~~~~~~~~~~
sklearn/src/cblas/atlas_misc.h:393:12: warning: 'ATL_AlignOffset' defined but not used [-Wunused-function]
static int ATL_AlignOffset
^~~~~~~~~~~~~~~
arm-linux-gnueabihf-gcc: sklearn/src/cblas/ATL_drefrot.c
arm-linux-gnueabihf-gcc: sklearn/src/cblas/cblas_daxpy.c
arm-linux-gnueabihf-gcc: sklearn/src/cblas/cblas_xerbla.c
sklearn/src/cblas/cblas_xerbla.c: In function 'cblas_xerbla':
sklearn/src/cblas/cblas_xerbla.c:52:4: warning: implicit declaration of function 'exit' [-Wimplicit-function-declaration]
exit(-1);
^~~~
sklearn/src/cblas/cblas_xerbla.c:52:4: warning: incompatible implicit declaration of built-in function 'exit'
sklearn/src/cblas/cblas_xerbla.c:52:4: note: include '<stdlib.h>' or provide a declaration of 'exit'
arm-linux-gnueabihf-gcc: sklearn/src/cblas/cblas_scopy.c
In file included from sklearn/src/cblas/atlas_level1.h:37:0,
from sklearn/src/cblas/cblas_scopy.c:36:
sklearn/src/cblas/cblas_scopy.c: In function 'cblas_scopy':
sklearn/src/cblas/atlas_refalias1.h:12:24: warning: implicit declaration of function 'ATL_srefcopy'; did you mean 'ATL_sgecopy'? [-Wimplicit-function-declaration]
#define ATL_scopy ATL_srefcopy
^
sklearn/src/cblas/cblas_scopy.c:46:24: note: in expansion of macro 'ATL_scopy'
if (incY < 0) ATL_scopy(N, X, -incX, Y, -incY);
^~~~~~~~~
In file included from sklearn/src/cblas/cblas_scopy.c:32:0:
At top level:
sklearn/src/cblas/atlas_misc.h:409:14: warning: 'ATL_Align2Ptr' defined but not used [-Wunused-function]
static void *ATL_Align2Ptr(const void *pu, const void *pA)
^~~~~~~~~~~~~
sklearn/src/cblas/atlas_misc.h:393:12: warning: 'ATL_AlignOffset' defined but not used [-Wunused-function]
static int ATL_AlignOffset
^~~~~~~~~~~~~~~
arm-linux-gnueabihf-gcc: sklearn/src/cblas/cblas_dgemv.c
sklearn/src/cblas/cblas_dgemv.c: In function 'cblas_dgemv':
sklearn/src/cblas/cblas_dgemv.c:79:7: warning: implicit declaration of function 'cblas_xerbla'; did you mean 'cblas_zher2k'? [-Wimplicit-function-declaration]
cblas_xerbla(info, "cblas_dgemv", "");
^~~~~~~~~~~~
cblas_zher2k
In file included from sklearn/src/cblas/cblas_dgemv.c:32:0:
At top level:
sklearn/src/cblas/atlas_misc.h:409:14: warning: 'ATL_Align2Ptr' defined but not used [-Wunused-function]
static void *ATL_Align2Ptr(const void *pu, const void *pA)
^~~~~~~~~~~~~
sklearn/src/cblas/atlas_misc.h:393:12: warning: 'ATL_AlignOffset' defined but not used [-Wunused-function]
static int ATL_AlignOffset
^~~~~~~~~~~~~~~
arm-linux-gnueabihf-gcc: sklearn/src/cblas/cblas_drot.c
In file included from sklearn/src/cblas/cblas_drot.c:32:0:
sklearn/src/cblas/atlas_misc.h:409:14: warning: 'ATL_Align2Ptr' defined but not used [-Wunused-function]
static void *ATL_Align2Ptr(const void *pu, const void *pA)
^~~~~~~~~~~~~
sklearn/src/cblas/atlas_misc.h:393:12: warning: 'ATL_AlignOffset' defined but not used [-Wunused-function]
static int ATL_AlignOffset
^~~~~~~~~~~~~~~
arm-linux-gnueabihf-gcc: sklearn/src/cblas/ATL_dsrefdot.c
arm-linux-gnueabihf-gcc: sklearn/src/cblas/cblas_errprn.c
arm-linux-gnueabihf-gcc: sklearn/src/cblas/cblas_srotg.c
In file included from sklearn/src/cblas/cblas_srotg.c:32:0:
sklearn/src/cblas/atlas_misc.h:409:14: warning: 'ATL_Align2Ptr' defined but not used [-Wunused-function]
static void *ATL_Align2Ptr(const void *pu, const void *pA)
^~~~~~~~~~~~~
sklearn/src/cblas/atlas_misc.h:393:12: warning: 'ATL_AlignOffset' defined but not used [-Wunused-function]
static int ATL_AlignOffset
^~~~~~~~~~~~~~~
arm-linux-gnueabihf-gcc: sklearn/src/cblas/ATL_drefrotg.c
arm-linux-gnueabihf-gcc: sklearn/src/cblas/ATL_srefgemv.c
arm-linux-gnueabihf-gcc: sklearn/src/cblas/ATL_drefcopy.c
arm-linux-gnueabihf-gcc: sklearn/src/cblas/ATL_drefgemv.c
arm-linux-gnueabihf-gcc: sklearn/src/cblas/ATL_drefger.c
arm-linux-gnueabihf-gcc: sklearn/src/cblas/cblas_sgemv.c
sklearn/src/cblas/cblas_sgemv.c: In function 'cblas_sgemv':
sklearn/src/cblas/cblas_sgemv.c:79:7: warning: implicit declaration of function 'cblas_xerbla'; did you mean 'cblas_zher2k'? [-Wimplicit-function-declaration]
cblas_xerbla(info, "cblas_sgemv", "");
^~~~~~~~~~~~
cblas_zher2k
In file included from sklearn/src/cblas/cblas_sgemv.c:32:0:
At top level:
sklearn/src/cblas/atlas_misc.h:409:14: warning: 'ATL_Align2Ptr' defined but not used [-Wunused-function]
static void *ATL_Align2Ptr(const void *pu, const void *pA)
^~~~~~~~~~~~~
sklearn/src/cblas/atlas_misc.h:393:12: warning: 'ATL_AlignOffset' defined but not used [-Wunused-function]
static int ATL_AlignOffset
^~~~~~~~~~~~~~~
arm-linux-gnueabihf-gcc: sklearn/src/cblas/cblas_sger.c
sklearn/src/cblas/cblas_sger.c: In function 'cblas_sger':
sklearn/src/cblas/cblas_sger.c:73:7: warning: implicit declaration of function 'cblas_xerbla'; did you mean 'cblas_zher2k'? [-Wimplicit-function-declaration]
cblas_xerbla(info, "cblas_sger", "");
^~~~~~~~~~~~
cblas_zher2k
In file included from sklearn/src/cblas/cblas_sger.c:32:0:
At top level:
sklearn/src/cblas/atlas_misc.h:409:14: warning: 'ATL_Align2Ptr' defined but not used [-Wunused-function]
static void *ATL_Align2Ptr(const void *pu, const void *pA)
^~~~~~~~~~~~~
sklearn/src/cblas/atlas_misc.h:393:12: warning: 'ATL_AlignOffset' defined but not used [-Wunused-function]
static int ATL_AlignOffset
^~~~~~~~~~~~~~~
arm-linux-gnueabihf-gcc: sklearn/src/cblas/ATL_srefrotg.c
arm-linux-gnueabihf-gcc: sklearn/src/cblas/ATL_srefrot.c
arm-linux-gnueabihf-gcc: sklearn/src/cblas/ATL_drefasum.c
arm-linux-gnueabihf-gcc: sklearn/src/cblas/ATL_drefgemvT.c
arm-linux-gnueabihf-gcc: sklearn/src/cblas/ATL_srefgemvT.c
arm-linux-gnueabihf-gcc: sklearn/src/cblas/cblas_dcopy.c
In file included from sklearn/src/cblas/atlas_level1.h:37:0,
from sklearn/src/cblas/cblas_dcopy.c:36:
sklearn/src/cblas/cblas_dcopy.c: In function 'cblas_dcopy':
sklearn/src/cblas/atlas_refalias1.h:25:24: warning: implicit declaration of function 'ATL_drefcopy'; did you mean 'ATL_dgecopy'? [-Wimplicit-function-declaration]
#define ATL_dcopy ATL_drefcopy
^
sklearn/src/cblas/cblas_dcopy.c:46:24: note: in expansion of macro 'ATL_dcopy'
if (incY < 0) ATL_dcopy(N, X, -incX, Y, -incY);
^~~~~~~~~
In file included from sklearn/src/cblas/cblas_dcopy.c:32:0:
At top level:
sklearn/src/cblas/atlas_misc.h:409:14: warning: 'ATL_Align2Ptr' defined but not used [-Wunused-function]
static void *ATL_Align2Ptr(const void *pu, const void *pA)
^~~~~~~~~~~~~
sklearn/src/cblas/atlas_misc.h:393:12: warning: 'ATL_AlignOffset' defined but not used [-Wunused-function]
static int ATL_AlignOffset
^~~~~~~~~~~~~~~
arm-linux-gnueabihf-gcc: sklearn/src/cblas/cblas_sdot.c
arm-linux-gnueabihf-gcc: sklearn/src/cblas/ATL_drefgemvN.c
arm-linux-gnueabihf-gcc-ar: adding 40 object files to build/temp.linux-armv8l-3.6/libcblas.a
running build_ext
customize UnixCCompiler
customize UnixCCompiler using build_ext
customize UnixCCompiler
customize UnixCCompiler using build_ext
building 'sklearn.__check_build._check_build' extension
compiling C sources
C compiler: arm-linux-gnueabihf-gcc -pthread -DNDEBUG -g -fwrapv -O2 -Wall -g -O2 -fdebug-prefix-map=/<<PKGBUILDDIR>>=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC
creating build/temp.linux-armv8l-3.6/sklearn/__check_build
compile options: '-I/usr/lib/python3/dist-packages/numpy/core/include -I/usr/lib/python3/dist-packages/numpy/core/include -I/usr/include/python3.6m -c'
arm-linux-gnueabihf-gcc: sklearn/__check_build/_check_build.c
arm-linux-gnueabihf-gcc -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-z,relro -Wl,-z,relro -g -O2 -fdebug-prefix-map=/<<PKGBUILDDIR>>=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 build/temp.linux-armv8l-3.6/sklearn/__check_build/_check_build.o -Lbuild/temp.linux-armv8l-3.6 -o build/lib.linux-armv8l-3.6/sklearn/__check_build/_check_build.cpython-36m-arm-linux-gnueabihf.so
building 'sklearn.cluster._dbscan_inner' extension
compiling C++ sources
C compiler: arm-linux-gnueabihf-g++ -pthread -DNDEBUG -g -fwrapv -O2 -Wall -g -O2 -fdebug-prefix-map=/<<PKGBUILDDIR>>=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC
creating build/temp.linux-armv8l-3.6/sklearn/cluster
compile options: '-I/usr/lib/python3/dist-packages/numpy/core/include -I/usr/lib/python3/dist-packages/numpy/core/include -I/usr/include/python3.6m -c'
arm-linux-gnueabihf-g++: sklearn/cluster/_dbscan_inner.cpp
In file included from /usr/lib/python3/dist-packages/numpy/core/include/numpy/ndarraytypes.h:1816:0,
from /usr/lib/python3/dist-packages/numpy/core/include/numpy/ndarrayobject.h:18,
from /usr/lib/python3/dist-packages/numpy/core/include/numpy/arrayobject.h:4,
from sklearn/cluster/_dbscan_inner.cpp:606:
/usr/lib/python3/dist-packages/numpy/core/include/numpy/npy_1_7_deprecated_api.h:15:2: warning: #warning "Using deprecated NumPy API, disable it by " "#defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp]
#warning "Using deprecated NumPy API, disable it by " \
^~~~~~~
arm-linux-gnueabihf-g++ -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-z,relro -Wl,-z,relro -g -O2 -fdebug-prefix-map=/<<PKGBUILDDIR>>=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 build/temp.linux-armv8l-3.6/sklearn/cluster/_dbscan_inner.o -Lbuild/temp.linux-armv8l-3.6 -o build/lib.linux-armv8l-3.6/sklearn/cluster/_dbscan_inner.cpython-36m-arm-linux-gnueabihf.so
building 'sklearn.cluster._hierarchical' extension
compiling C++ sources
C compiler: arm-linux-gnueabihf-g++ -pthread -DNDEBUG -g -fwrapv -O2 -Wall -g -O2 -fdebug-prefix-map=/<<PKGBUILDDIR>>=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC
compile options: '-I/usr/lib/python3/dist-packages/numpy/core/include -I/usr/lib/python3/dist-packages/numpy/core/include -I/usr/include/python3.6m -c'
arm-linux-gnueabihf-g++: sklearn/cluster/_hierarchical.cpp
In file included from /usr/lib/python3/dist-packages/numpy/core/include/numpy/ndarraytypes.h:1816:0,
from /usr/lib/python3/dist-packages/numpy/core/include/numpy/ndarrayobject.h:18,
from /usr/lib/python3/dist-packages/numpy/core/include/numpy/arrayobject.h:4,
from sklearn/cluster/_hierarchical.cpp:604:
/usr/lib/python3/dist-packages/numpy/core/include/numpy/npy_1_7_deprecated_api.h:15:2: warning: #warning "Using deprecated NumPy API, disable it by " "#defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp]
#warning "Using deprecated NumPy API, disable it by " \
^~~~~~~
In file included from /usr/include/c++/7/map:60:0,
from sklearn/cluster/_hierarchical.cpp:611:
/usr/include/c++/7/bits/stl_tree.h: In function 'std::_Rb_tree<_Key, _Val, _KeyOfValue, _Compare, _Alloc>::iterator std::_Rb_tree<_Key, _Val, _KeyOfValue, _Compare, _Alloc>::_M_emplace_hint_unique(std::_Rb_tree<_Key, _Val, _KeyOfValue, _Compare, _Alloc>::const_iterator, _Args&& ...) [with _Args = {const std::piecewise_construct_t&, std::tuple<const int&>, std::tuple<>}; _Key = int; _Val = std::pair<const int, double>; _KeyOfValue = std::_Select1st<std::pair<const int, double> >; _Compare = std::less<int>; _Alloc = std::allocator<std::pair<const int, double> >]':
/usr/include/c++/7/bits/stl_tree.h:2395:7: note: parameter passing for argument of type 'std::_Rb_tree<int, std::pair<const int, double>, std::_Select1st<std::pair<const int, double> >, std::less<int>, std::allocator<std::pair<const int, double> > >::const_iterator {aka std::_Rb_tree_const_iterator<std::pair<const int, double> >}' changed in GCC 7.1
_Rb_tree<_Key, _Val, _KeyOfValue, _Compare, _Alloc>::
^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
In file included from /usr/include/c++/7/map:61:0,
from sklearn/cluster/_hierarchical.cpp:611:
/usr/include/c++/7/bits/stl_map.h: In function 'PyObject* __pyx_pw_7sklearn_7cluster_13_hierarchical_9max_merge(PyObject*, PyObject*, PyObject*)':
/usr/include/c++/7/bits/stl_map.h:493:4: note: parameter passing for argument of type 'std::_Rb_tree<int, std::pair<const int, double>, std::_Select1st<std::pair<const int, double> >, std::less<int>, std::allocator<std::pair<const int, double> > >::const_iterator {aka std::_Rb_tree_const_iterator<std::pair<const int, double> >}' changed in GCC 7.1
__i = _M_t._M_emplace_hint_unique(__i, std::piecewise_construct,
^~~
/usr/include/c++/7/bits/stl_map.h:493:4: note: parameter passing for argument of type 'std::_Rb_tree<int, std::pair<const int, double>, std::_Select1st<std::pair<const int, double> >, std::less<int>, std::allocator<std::pair<const int, double> > >::const_iterator {aka std::_Rb_tree_const_iterator<std::pair<const int, double> >}' changed in GCC 7.1
__i = _M_t._M_emplace_hint_unique(__i, std::piecewise_construct,
^~~
/usr/include/c++/7/bits/stl_map.h: In function 'PyObject* __pyx_pw_7sklearn_7cluster_13_hierarchical_11average_merge(PyObject*, PyObject*, PyObject*)':
/usr/include/c++/7/bits/stl_map.h:493:4: note: parameter passing for argument of type 'std::_Rb_tree<int, std::pair<const int, double>, std::_Select1st<std::pair<const int, double> >, std::less<int>, std::allocator<std::pair<const int, double> > >::const_iterator {aka std::_Rb_tree_const_iterator<std::pair<const int, double> >}' changed in GCC 7.1
__i = _M_t._M_emplace_hint_unique(__i, std::piecewise_construct,
^~~
/usr/include/c++/7/bits/stl_map.h:493:4: note: parameter passing for argument of type 'std::_Rb_tree<int, std::pair<const int, double>, std::_Select1st<std::pair<const int, double> >, std::less<int>, std::allocator<std::pair<const int, double> > >::const_iterator {aka std::_Rb_tree_const_iterator<std::pair<const int, double> >}' changed in GCC 7.1
__i = _M_t._M_emplace_hint_unique(__i, std::piecewise_construct,
^~~
arm-linux-gnueabihf-g++ -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-z,relro -Wl,-z,relro -g -O2 -fdebug-prefix-map=/<<PKGBUILDDIR>>=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 build/temp.linux-armv8l-3.6/sklearn/cluster/_hierarchical.o -Lbuild/temp.linux-armv8l-3.6 -lm -o build/lib.linux-armv8l-3.6/sklearn/cluster/_hierarchical.cpython-36m-arm-linux-gnueabihf.so
building 'sklearn.cluster._k_means_elkan' extension
compiling C sources
C compiler: arm-linux-gnueabihf-gcc -pthread -DNDEBUG -g -fwrapv -O2 -Wall -g -O2 -fdebug-prefix-map=/<<PKGBUILDDIR>>=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC
compile options: '-I/usr/lib/python3/dist-packages/numpy/core/include -I/usr/lib/python3/dist-packages/numpy/core/include -I/usr/include/python3.6m -c'
arm-linux-gnueabihf-gcc: sklearn/cluster/_k_means_elkan.c
In file included from /usr/lib/python3/dist-packages/numpy/core/include/numpy/ndarraytypes.h:1816:0,
from /usr/lib/python3/dist-packages/numpy/core/include/numpy/ndarrayobject.h:18,
from /usr/lib/python3/dist-packages/numpy/core/include/numpy/arrayobject.h:4,
from sklearn/cluster/_k_means_elkan.c:589:
/usr/lib/python3/dist-packages/numpy/core/include/numpy/npy_1_7_deprecated_api.h:15:2: warning: #warning "Using deprecated NumPy API, disable it by " "#defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp]
#warning "Using deprecated NumPy API, disable it by " \
^~~~~~~
arm-linux-gnueabihf-gcc -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-z,relro -Wl,-z,relro -g -O2 -fdebug-prefix-map=/<<PKGBUILDDIR>>=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 build/temp.linux-armv8l-3.6/sklearn/cluster/_k_means_elkan.o -Lbuild/temp.linux-armv8l-3.6 -lm -o build/lib.linux-armv8l-3.6/sklearn/cluster/_k_means_elkan.cpython-36m-arm-linux-gnueabihf.so
building 'sklearn.cluster._k_means' extension
compiling C sources
C compiler: arm-linux-gnueabihf-gcc -pthread -DNDEBUG -g -fwrapv -O2 -Wall -g -O2 -fdebug-prefix-map=/<<PKGBUILDDIR>>=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC
compile options: '-Isklearn/src/cblas -I/usr/lib/python3/dist-packages/numpy/core/include -I/usr/lib/python3/dist-packages/numpy/core/include -I/usr/include/python3.6m -c'
arm-linux-gnueabihf-gcc: sklearn/cluster/_k_means.c
In file included from /usr/lib/python3/dist-packages/numpy/core/include/numpy/ndarraytypes.h:1816:0,
from /usr/lib/python3/dist-packages/numpy/core/include/numpy/ndarrayobject.h:18,
from /usr/lib/python3/dist-packages/numpy/core/include/numpy/arrayobject.h:4,
from sklearn/cluster/_k_means.c:593:
/usr/lib/python3/dist-packages/numpy/core/include/numpy/npy_1_7_deprecated_api.h:15:2: warning: #warning "Using deprecated NumPy API, disable it by " "#defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp]
#warning "Using deprecated NumPy API, disable it by " \
^~~~~~~
sklearn/cluster/_k_means.c: In function '__pyx_fuse_0__pyx_f_7sklearn_7cluster_8_k_means__assign_labels_array':
sklearn/cluster/_k_means.c:3765:15: warning: assignment from incompatible pointer type [-Wincompatible-pointer-types]
__pyx_v_dot = cblas_sdot;
^
sklearn/cluster/_k_means.c: In function '__pyx_fuse_1__pyx_f_7sklearn_7cluster_8_k_means__assign_labels_array':
sklearn/cluster/_k_means.c:4519:15: warning: assignment from incompatible pointer type [-Wincompatible-pointer-types]
__pyx_v_dot = cblas_ddot;
^
sklearn/cluster/_k_means.c: In function '__pyx_fuse_0__pyx_f_7sklearn_7cluster_8_k_means__assign_labels_csr':
sklearn/cluster/_k_means.c:5856:15: warning: assignment from incompatible pointer type [-Wincompatible-pointer-types]
__pyx_v_dot = cblas_sdot;
^
sklearn/cluster/_k_means.c: In function '__pyx_fuse_1__pyx_f_7sklearn_7cluster_8_k_means__assign_labels_csr':
sklearn/cluster/_k_means.c:6669:15: warning: assignment from incompatible pointer type [-Wincompatible-pointer-types]
__pyx_v_dot = cblas_ddot;
^
arm-linux-gnueabihf-gcc -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-z,relro -Wl,-z,relro -g -O2 -fdebug-prefix-map=/<<PKGBUILDDIR>>=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 build/temp.linux-armv8l-3.6/sklearn/cluster/_k_means.o -Lbuild/temp.linux-armv8l-3.6 -lcblas -lm -o build/lib.linux-armv8l-3.6/sklearn/cluster/_k_means.cpython-36m-arm-linux-gnueabihf.so
building 'sklearn.datasets._svmlight_format' extension
compiling C sources
C compiler: arm-linux-gnueabihf-gcc -pthread -DNDEBUG -g -fwrapv -O2 -Wall -g -O2 -fdebug-prefix-map=/<<PKGBUILDDIR>>=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC
creating build/temp.linux-armv8l-3.6/sklearn/datasets
compile options: '-I/usr/lib/python3/dist-packages/numpy/core/include -I/usr/lib/python3/dist-packages/numpy/core/include -I/usr/include/python3.6m -c'
arm-linux-gnueabihf-gcc: sklearn/datasets/_svmlight_format.c
In file included from /usr/lib/python3/dist-packages/numpy/core/include/numpy/ndarraytypes.h:1816:0,
from /usr/lib/python3/dist-packages/numpy/core/include/numpy/ndarrayobject.h:18,
from /usr/lib/python3/dist-packages/numpy/core/include/numpy/arrayobject.h:4,
from sklearn/datasets/_svmlight_format.c:587:
/usr/lib/python3/dist-packages/numpy/core/include/numpy/npy_1_7_deprecated_api.h:15:2: warning: #warning "Using deprecated NumPy API, disable it by " "#defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp]
#warning "Using deprecated NumPy API, disable it by " \
^~~~~~~
arm-linux-gnueabihf-gcc -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-z,relro -Wl,-z,relro -g -O2 -fdebug-prefix-map=/<<PKGBUILDDIR>>=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 build/temp.linux-armv8l-3.6/sklearn/datasets/_svmlight_format.o -Lbuild/temp.linux-armv8l-3.6 -o build/lib.linux-armv8l-3.6/sklearn/datasets/_svmlight_format.cpython-36m-arm-linux-gnueabihf.so
building 'sklearn.decomposition._online_lda' extension
compiling C sources
C compiler: arm-linux-gnueabihf-gcc -pthread -DNDEBUG -g -fwrapv -O2 -Wall -g -O2 -fdebug-prefix-map=/<<PKGBUILDDIR>>=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC
creating build/temp.linux-armv8l-3.6/sklearn/decomposition
compile options: '-I/usr/lib/python3/dist-packages/numpy/core/include -I/usr/lib/python3/dist-packages/numpy/core/include -I/usr/include/python3.6m -c'
arm-linux-gnueabihf-gcc: sklearn/decomposition/_online_lda.c
In file included from /usr/lib/python3/dist-packages/numpy/core/include/numpy/ndarraytypes.h:1816:0,
from /usr/lib/python3/dist-packages/numpy/core/include/numpy/ndarrayobject.h:18,
from /usr/lib/python3/dist-packages/numpy/core/include/numpy/arrayobject.h:4,
from sklearn/decomposition/_online_lda.c:590:
/usr/lib/python3/dist-packages/numpy/core/include/numpy/npy_1_7_deprecated_api.h:15:2: warning: #warning "Using deprecated NumPy API, disable it by " "#defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp]
#warning "Using deprecated NumPy API, disable it by " \
^~~~~~~
arm-linux-gnueabihf-gcc -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-z,relro -Wl,-z,relro -g -O2 -fdebug-prefix-map=/<<PKGBUILDDIR>>=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 build/temp.linux-armv8l-3.6/sklearn/decomposition/_online_lda.o -Lbuild/temp.linux-armv8l-3.6 -lm -o build/lib.linux-armv8l-3.6/sklearn/decomposition/_online_lda.cpython-36m-arm-linux-gnueabihf.so
building 'sklearn.decomposition.cdnmf_fast' extension
compiling C sources
C compiler: arm-linux-gnueabihf-gcc -pthread -DNDEBUG -g -fwrapv -O2 -Wall -g -O2 -fdebug-prefix-map=/<<PKGBUILDDIR>>=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC
compile options: '-I/usr/lib/python3/dist-packages/numpy/core/include -I/usr/lib/python3/dist-packages/numpy/core/include -I/usr/include/python3.6m -c'
arm-linux-gnueabihf-gcc: sklearn/decomposition/cdnmf_fast.c
arm-linux-gnueabihf-gcc -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-z,relro -Wl,-z,relro -g -O2 -fdebug-prefix-map=/<<PKGBUILDDIR>>=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 build/temp.linux-armv8l-3.6/sklearn/decomposition/cdnmf_fast.o -Lbuild/temp.linux-armv8l-3.6 -lm -o build/lib.linux-armv8l-3.6/sklearn/decomposition/cdnmf_fast.cpython-36m-arm-linux-gnueabihf.so
building 'sklearn.ensemble._gradient_boosting' extension
compiling C sources
C compiler: arm-linux-gnueabihf-gcc -pthread -DNDEBUG -g -fwrapv -O2 -Wall -g -O2 -fdebug-prefix-map=/<<PKGBUILDDIR>>=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC
creating build/temp.linux-armv8l-3.6/sklearn/ensemble
compile options: '-I/usr/lib/python3/dist-packages/numpy/core/include -I/usr/lib/python3/dist-packages/numpy/core/include -I/usr/include/python3.6m -c'
arm-linux-gnueabihf-gcc: sklearn/ensemble/_gradient_boosting.c
In file included from /usr/lib/python3/dist-packages/numpy/core/include/numpy/ndarraytypes.h:1816:0,
from /usr/lib/python3/dist-packages/numpy/core/include/numpy/ndarrayobject.h:18,
from /usr/lib/python3/dist-packages/numpy/core/include/numpy/arrayobject.h:4,
from sklearn/ensemble/_gradient_boosting.c:587:
/usr/lib/python3/dist-packages/numpy/core/include/numpy/npy_1_7_deprecated_api.h:15:2: warning: #warning "Using deprecated NumPy API, disable it by " "#defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp]
#warning "Using deprecated NumPy API, disable it by " \
^~~~~~~
arm-linux-gnueabihf-gcc -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-z,relro -Wl,-z,relro -g -O2 -fdebug-prefix-map=/<<PKGBUILDDIR>>=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 build/temp.linux-armv8l-3.6/sklearn/ensemble/_gradient_boosting.o -Lbuild/temp.linux-armv8l-3.6 -o build/lib.linux-armv8l-3.6/sklearn/ensemble/_gradient_boosting.cpython-36m-arm-linux-gnueabihf.so
building 'sklearn.feature_extraction._hashing' extension
compiling C sources
C compiler: arm-linux-gnueabihf-gcc -pthread -DNDEBUG -g -fwrapv -O2 -Wall -g -O2 -fdebug-prefix-map=/<<PKGBUILDDIR>>=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC
creating build/temp.linux-armv8l-3.6/sklearn/feature_extraction
compile options: '-I/usr/lib/python3/dist-packages/numpy/core/include -I/usr/lib/python3/dist-packages/numpy/core/include -I/usr/include/python3.6m -c'
arm-linux-gnueabihf-gcc: sklearn/feature_extraction/_hashing.c
In file included from /usr/lib/python3/dist-packages/numpy/core/include/numpy/ndarraytypes.h:1816:0,
from /usr/lib/python3/dist-packages/numpy/core/include/numpy/ndarrayobject.h:18,
from /usr/lib/python3/dist-packages/numpy/core/include/numpy/arrayobject.h:4,
from sklearn/feature_extraction/_hashing.c:591:
/usr/lib/python3/dist-packages/numpy/core/include/numpy/npy_1_7_deprecated_api.h:15:2: warning: #warning "Using deprecated NumPy API, disable it by " "#defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp]
#warning "Using deprecated NumPy API, disable it by " \
^~~~~~~
arm-linux-gnueabihf-gcc -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-z,relro -Wl,-z,relro -g -O2 -fdebug-prefix-map=/<<PKGBUILDDIR>>=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 build/temp.linux-armv8l-3.6/sklearn/feature_extraction/_hashing.o -Lbuild/temp.linux-armv8l-3.6 -lm -o build/lib.linux-armv8l-3.6/sklearn/feature_extraction/_hashing.cpython-36m-arm-linux-gnueabihf.so
building 'sklearn.manifold._utils' extension
compiling C sources
C compiler: arm-linux-gnueabihf-gcc -pthread -DNDEBUG -g -fwrapv -O2 -Wall -g -O2 -fdebug-prefix-map=/<<PKGBUILDDIR>>=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC
creating build/temp.linux-armv8l-3.6/sklearn/manifold
compile options: '-I/usr/lib/python3/dist-packages/numpy/core/include -I/usr/lib/python3/dist-packages/numpy/core/include -I/usr/include/python3.6m -c'
extra options: '-O3'
arm-linux-gnueabihf-gcc: sklearn/manifold/_utils.c
In file included from /usr/lib/python3/dist-packages/numpy/core/include/numpy/ndarraytypes.h:1816:0,
from /usr/lib/python3/dist-packages/numpy/core/include/numpy/ndarrayobject.h:18,
from /usr/lib/python3/dist-packages/numpy/core/include/numpy/arrayobject.h:4,
from sklearn/manifold/_utils.c:594:
/usr/lib/python3/dist-packages/numpy/core/include/numpy/npy_1_7_deprecated_api.h:15:2: warning: #warning "Using deprecated NumPy API, disable it by " "#defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp]
#warning "Using deprecated NumPy API, disable it by " \
^~~~~~~
arm-linux-gnueabihf-gcc -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-z,relro -Wl,-z,relro -g -O2 -fdebug-prefix-map=/<<PKGBUILDDIR>>=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 build/temp.linux-armv8l-3.6/sklearn/manifold/_utils.o -Lbuild/temp.linux-armv8l-3.6 -lm -o build/lib.linux-armv8l-3.6/sklearn/manifold/_utils.cpython-36m-arm-linux-gnueabihf.so
building 'sklearn.manifold._barnes_hut_tsne' extension
compiling C sources
C compiler: arm-linux-gnueabihf-gcc -pthread -DNDEBUG -g -fwrapv -O2 -Wall -g -O2 -fdebug-prefix-map=/<<PKGBUILDDIR>>=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC
compile options: '-Isklearn/src/cblas -I/usr/lib/python3/dist-packages/numpy/core/include -I/usr/lib/python3/dist-packages/numpy/core/include -I/usr/include/python3.6m -c'
extra options: '-O4'
arm-linux-gnueabihf-gcc: sklearn/manifold/_barnes_hut_tsne.c
In file included from /usr/lib/python3/dist-packages/numpy/core/include/numpy/ndarraytypes.h:1816:0,
from /usr/lib/python3/dist-packages/numpy/core/include/numpy/ndarrayobject.h:18,
from /usr/lib/python3/dist-packages/numpy/core/include/numpy/arrayobject.h:4,
from sklearn/manifold/_barnes_hut_tsne.c:595:
/usr/lib/python3/dist-packages/numpy/core/include/numpy/npy_1_7_deprecated_api.h:15:2: warning: #warning "Using deprecated NumPy API, disable it by " "#defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp]
#warning "Using deprecated NumPy API, disable it by " \
^~~~~~~
sklearn/manifold/_barnes_hut_tsne.c: In function '__pyx_f_7sklearn_8manifold_16_barnes_hut_tsne_compute_gradient_negative':
sklearn/manifold/_barnes_hut_tsne.c:3364:9: warning: variable '__pyx_v_force' set but not used [-Wunused-but-set-variable]
float __pyx_v_force[3];
^~~~~~~~~~~~~
sklearn/manifold/_barnes_hut_tsne.c:3363:9: warning: variable '__pyx_v_iQ' set but not used [-Wunused-but-set-variable]
float __pyx_v_iQ[1];
^~~~~~~~~~
sklearn/manifold/_barnes_hut_tsne.c: In function '__pyx_pf_7sklearn_8manifold_16_barnes_hut_tsne_gradient':
sklearn/manifold/_barnes_hut_tsne.c:4197:55: warning: format '%li' expects argument of type 'long int', but argument 2 has type 'Py_ssize_t {aka int}' [-Wformat=]
(void)(printf(((char const *)"[t-SNE] Inserting %li points\n"), (__pyx_v_pos_output.shape[0])));
~~^ ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
%i
arm-linux-gnueabihf-gcc -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-z,relro -Wl,-z,relro -g -O2 -fdebug-prefix-map=/<<PKGBUILDDIR>>=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 build/temp.linux-armv8l-3.6/sklearn/manifold/_barnes_hut_tsne.o -Lbuild/temp.linux-armv8l-3.6 -lcblas -o build/lib.linux-armv8l-3.6/sklearn/manifold/_barnes_hut_tsne.cpython-36m-arm-linux-gnueabihf.so
building 'sklearn.metrics.cluster.expected_mutual_info_fast' extension
compiling C sources
C compiler: arm-linux-gnueabihf-gcc -pthread -DNDEBUG -g -fwrapv -O2 -Wall -g -O2 -fdebug-prefix-map=/<<PKGBUILDDIR>>=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC
creating build/temp.linux-armv8l-3.6/sklearn/metrics
creating build/temp.linux-armv8l-3.6/sklearn/metrics/cluster
compile options: '-I/usr/lib/python3/dist-packages/numpy/core/include -I/usr/lib/python3/dist-packages/numpy/core/include -I/usr/include/python3.6m -c'
arm-linux-gnueabihf-gcc: sklearn/metrics/cluster/expected_mutual_info_fast.c
In file included from /usr/lib/python3/dist-packages/numpy/core/include/numpy/ndarraytypes.h:1816:0,
from /usr/lib/python3/dist-packages/numpy/core/include/numpy/ndarrayobject.h:18,
from /usr/lib/python3/dist-packages/numpy/core/include/numpy/arrayobject.h:4,
from sklearn/metrics/cluster/expected_mutual_info_fast.c:590:
/usr/lib/python3/dist-packages/numpy/core/include/numpy/npy_1_7_deprecated_api.h:15:2: warning: #warning "Using deprecated NumPy API, disable it by " "#defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp]
#warning "Using deprecated NumPy API, disable it by " \
^~~~~~~
arm-linux-gnueabihf-gcc -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-z,relro -Wl,-z,relro -g -O2 -fdebug-prefix-map=/<<PKGBUILDDIR>>=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 build/temp.linux-armv8l-3.6/sklearn/metrics/cluster/expected_mutual_info_fast.o -Lbuild/temp.linux-armv8l-3.6 -lm -o build/lib.linux-armv8l-3.6/sklearn/metrics/cluster/expected_mutual_info_fast.cpython-36m-arm-linux-gnueabihf.so
building 'sklearn.metrics.pairwise_fast' extension
compiling C sources
C compiler: arm-linux-gnueabihf-gcc -pthread -DNDEBUG -g -fwrapv -O2 -Wall -g -O2 -fdebug-prefix-map=/<<PKGBUILDDIR>>=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC
compile options: '-Isklearn/src/cblas -I/usr/lib/python3/dist-packages/numpy/core/include -I/usr/lib/python3/dist-packages/numpy/core/include -I/usr/include/python3.6m -c'
arm-linux-gnueabihf-gcc: sklearn/metrics/pairwise_fast.c
In file included from /usr/lib/python3/dist-packages/numpy/core/include/numpy/ndarraytypes.h:1816:0,
from /usr/lib/python3/dist-packages/numpy/core/include/numpy/ndarrayobject.h:18,
from /usr/lib/python3/dist-packages/numpy/core/include/numpy/arrayobject.h:4,
from sklearn/metrics/pairwise_fast.c:592:
/usr/lib/python3/dist-packages/numpy/core/include/numpy/npy_1_7_deprecated_api.h:15:2: warning: #warning "Using deprecated NumPy API, disable it by " "#defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp]
#warning "Using deprecated NumPy API, disable it by " \
^~~~~~~
arm-linux-gnueabihf-gcc -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-z,relro -Wl,-z,relro -g -O2 -fdebug-prefix-map=/<<PKGBUILDDIR>>=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 build/temp.linux-armv8l-3.6/sklearn/metrics/pairwise_fast.o -Lbuild/temp.linux-armv8l-3.6 -lcblas -lm -o build/lib.linux-armv8l-3.6/sklearn/metrics/pairwise_fast.cpython-36m-arm-linux-gnueabihf.so
building 'sklearn.neighbors.ball_tree' extension
compiling C sources
C compiler: arm-linux-gnueabihf-gcc -pthread -DNDEBUG -g -fwrapv -O2 -Wall -g -O2 -fdebug-prefix-map=/<<PKGBUILDDIR>>=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC
creating build/temp.linux-armv8l-3.6/sklearn/neighbors
compile options: '-I/usr/lib/python3/dist-packages/numpy/core/include -I/usr/lib/python3/dist-packages/numpy/core/include -I/usr/include/python3.6m -c'
arm-linux-gnueabihf-gcc: sklearn/neighbors/ball_tree.c
In file included from /usr/lib/python3/dist-packages/numpy/core/include/numpy/ndarraytypes.h:1816:0,
from /usr/lib/python3/dist-packages/numpy/core/include/numpy/ndarrayobject.h:18,
from /usr/lib/python3/dist-packages/numpy/core/include/numpy/arrayobject.h:4,
from sklearn/neighbors/ball_tree.c:589:
/usr/lib/python3/dist-packages/numpy/core/include/numpy/npy_1_7_deprecated_api.h:15:2: warning: #warning "Using deprecated NumPy API, disable it by " "#defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp]
#warning "Using deprecated NumPy API, disable it by " \
^~~~~~~
arm-linux-gnueabihf-gcc -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-z,relro -Wl,-z,relro -g -O2 -fdebug-prefix-map=/<<PKGBUILDDIR>>=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 build/temp.linux-armv8l-3.6/sklearn/neighbors/ball_tree.o -Lbuild/temp.linux-armv8l-3.6 -lm -o build/lib.linux-armv8l-3.6/sklearn/neighbors/ball_tree.cpython-36m-arm-linux-gnueabihf.so
building 'sklearn.neighbors.kd_tree' extension
compiling C sources
C compiler: arm-linux-gnueabihf-gcc -pthread -DNDEBUG -g -fwrapv -O2 -Wall -g -O2 -fdebug-prefix-map=/<<PKGBUILDDIR>>=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC
compile options: '-I/usr/lib/python3/dist-packages/numpy/core/include -I/usr/lib/python3/dist-packages/numpy/core/include -I/usr/include/python3.6m -c'
arm-linux-gnueabihf-gcc: sklearn/neighbors/kd_tree.c
In file included from /usr/lib/python3/dist-packages/numpy/core/include/numpy/ndarraytypes.h:1816:0,
from /usr/lib/python3/dist-packages/numpy/core/include/numpy/ndarrayobject.h:18,
from /usr/lib/python3/dist-packages/numpy/core/include/numpy/arrayobject.h:4,
from sklearn/neighbors/kd_tree.c:589:
/usr/lib/python3/dist-packages/numpy/core/include/numpy/npy_1_7_deprecated_api.h:15:2: warning: #warning "Using deprecated NumPy API, disable it by " "#defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp]
#warning "Using deprecated NumPy API, disable it by " \
^~~~~~~
sklearn/neighbors/kd_tree.c: In function '__pyx_f_7sklearn_9neighbors_7kd_tree_10BinaryTree__recursive_build':
sklearn/neighbors/kd_tree.c:22325:49: warning: '__pyx_v_j' may be used uninitialized in this function [-Wmaybe-uninitialized]
__pyx_t_7sklearn_9neighbors_8typedefs_ITYPE_t __pyx_v_j;
^~~~~~~~~
arm-linux-gnueabihf-gcc -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-z,relro -Wl,-z,relro -g -O2 -fdebug-prefix-map=/<<PKGBUILDDIR>>=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 build/temp.linux-armv8l-3.6/sklearn/neighbors/kd_tree.o -Lbuild/temp.linux-armv8l-3.6 -lm -o build/lib.linux-armv8l-3.6/sklearn/neighbors/kd_tree.cpython-36m-arm-linux-gnueabihf.so
building 'sklearn.neighbors.dist_metrics' extension
compiling C sources
C compiler: arm-linux-gnueabihf-gcc -pthread -DNDEBUG -g -fwrapv -O2 -Wall -g -O2 -fdebug-prefix-map=/<<PKGBUILDDIR>>=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC
compile options: '-I/usr/lib/python3/dist-packages/numpy/core/include -I/usr/lib/python3/dist-packages/numpy/core/include/numpy -I/usr/lib/python3/dist-packages/numpy/core/include -I/usr/include/python3.6m -c'
arm-linux-gnueabihf-gcc: sklearn/neighbors/dist_metrics.c
In file included from /usr/lib/python3/dist-packages/numpy/core/include/numpy/ndarraytypes.h:1816:0,
from /usr/lib/python3/dist-packages/numpy/core/include/numpy/ndarrayobject.h:18,
from /usr/lib/python3/dist-packages/numpy/core/include/numpy/arrayobject.h:4,
from sklearn/neighbors/dist_metrics.c:590:
/usr/lib/python3/dist-packages/numpy/core/include/numpy/npy_1_7_deprecated_api.h:15:2: warning: #warning "Using deprecated NumPy API, disable it by " "#defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp]
#warning "Using deprecated NumPy API, disable it by " \
^~~~~~~
sklearn/neighbors/dist_metrics.c: In function '__pyx_f_7sklearn_9neighbors_12dist_metrics_18SEuclideanDistance_dist':
sklearn/neighbors/dist_metrics.c:7047:85: warning: passing argument 1 of '__pyx_f_7sklearn_9neighbors_12dist_metrics_18SEuclideanDistance_rdist' from incompatible pointer type [-Wincompatible-pointer-types]
__pyx_t_1 = __pyx_f_7sklearn_9neighbors_12dist_metrics_18SEuclideanDistance_rdist(((struct __pyx_obj_7sklearn_9neighbors_12dist_metrics_DistanceMetric *)__pyx_v_self), __pyx_v_x1, __pyx_v_x2, __pyx_v_size); if (unlikely(__pyx_t_1 == ((__pyx_t_7sklearn_9neighbors_8typedefs_DTYPE_t)-1.0))) __PYX_ERR(1, 464, __pyx_L1_error)
^
sklearn/neighbors/dist_metrics.c:6850:54: note: expected 'struct __pyx_obj_7sklearn_9neighbors_12dist_metrics_SEuclideanDistance *' but argument is of type 'struct __pyx_obj_7sklearn_9neighbors_12dist_metrics_DistanceMetric *'
static __pyx_t_7sklearn_9neighbors_8typedefs_DTYPE_t __pyx_f_7sklearn_9neighbors_12dist_metrics_18SEuclideanDistance_rdist(struct __pyx_obj_7sklearn_9neighbors_12dist_metrics_SEuclideanDistance *__pyx_v_self, __pyx_t_7sklearn_9neighbors_8typedefs_DTYPE_t *__pyx_v_x1, __pyx_t_7sklearn_9neighbors_8typedefs_DTYPE_t *__pyx_v_x2, __pyx_t_7sklearn_9neighbors_8typedefs_ITYPE_t __pyx_v_size) {
^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
sklearn/neighbors/dist_metrics.c: In function '__pyx_f_7sklearn_9neighbors_12dist_metrics_17MinkowskiDistance_dist':
sklearn/neighbors/dist_metrics.c:7868:84: warning: passing argument 1 of '__pyx_f_7sklearn_9neighbors_12dist_metrics_17MinkowskiDistance_rdist' from incompatible pointer type [-Wincompatible-pointer-types]
__pyx_t_1 = __pyx_f_7sklearn_9neighbors_12dist_metrics_17MinkowskiDistance_rdist(((struct __pyx_obj_7sklearn_9neighbors_12dist_metrics_DistanceMetric *)__pyx_v_self), __pyx_v_x1, __pyx_v_x2, __pyx_v_size); if (unlikely(__pyx_t_1 == ((__pyx_t_7sklearn_9neighbors_8typedefs_DTYPE_t)-1.0))) __PYX_ERR(1, 553, __pyx_L1_error)
^
sklearn/neighbors/dist_metrics.c:7787:54: note: expected 'struct __pyx_obj_7sklearn_9neighbors_12dist_metrics_MinkowskiDistance *' but argument is of type 'struct __pyx_obj_7sklearn_9neighbors_12dist_metrics_DistanceMetric *'
static __pyx_t_7sklearn_9neighbors_8typedefs_DTYPE_t __pyx_f_7sklearn_9neighbors_12dist_metrics_17MinkowskiDistance_rdist(struct __pyx_obj_7sklearn_9neighbors_12dist_metrics_MinkowskiDistance *__pyx_v_self, __pyx_t_7sklearn_9neighbors_8typedefs_DTYPE_t *__pyx_v_x1, __pyx_t_7sklearn_9neighbors_8typedefs_DTYPE_t *__pyx_v_x2, __pyx_t_7sklearn_9neighbors_8typedefs_ITYPE_t __pyx_v_size) {
^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
sklearn/neighbors/dist_metrics.c: In function '__pyx_f_7sklearn_9neighbors_12dist_metrics_18WMinkowskiDistance_dist':
sklearn/neighbors/dist_metrics.c:8576:85: warning: passing argument 1 of '__pyx_f_7sklearn_9neighbors_12dist_metrics_18WMinkowskiDistance_rdist' from incompatible pointer type [-Wincompatible-pointer-types]
__pyx_t_1 = __pyx_f_7sklearn_9neighbors_12dist_metrics_18WMinkowskiDistance_rdist(((struct __pyx_obj_7sklearn_9neighbors_12dist_metrics_DistanceMetric *)__pyx_v_self), __pyx_v_x1, __pyx_v_x2, __pyx_v_size); if (unlikely(__pyx_t_1 == ((__pyx_t_7sklearn_9neighbors_8typedefs_DTYPE_t)-1.0))) __PYX_ERR(1, 612, __pyx_L1_error)
^
sklearn/neighbors/dist_metrics.c:8389:54: note: expected 'struct __pyx_obj_7sklearn_9neighbors_12dist_metrics_WMinkowskiDistance *' but argument is of type 'struct __pyx_obj_7sklearn_9neighbors_12dist_metrics_DistanceMetric *'
static __pyx_t_7sklearn_9neighbors_8typedefs_DTYPE_t __pyx_f_7sklearn_9neighbors_12dist_metrics_18WMinkowskiDistance_rdist(struct __pyx_obj_7sklearn_9neighbors_12dist_metrics_WMinkowskiDistance *__pyx_v_self, __pyx_t_7sklearn_9neighbors_8typedefs_DTYPE_t *__pyx_v_x1, __pyx_t_7sklearn_9neighbors_8typedefs_DTYPE_t *__pyx_v_x2, __pyx_t_7sklearn_9neighbors_8typedefs_ITYPE_t __pyx_v_size) {
^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
sklearn/neighbors/dist_metrics.c: In function '__pyx_f_7sklearn_9neighbors_12dist_metrics_19MahalanobisDistance_dist':
sklearn/neighbors/dist_metrics.c:9447:86: warning: passing argument 1 of '__pyx_f_7sklearn_9neighbors_12dist_metrics_19MahalanobisDistance_rdist' from incompatible pointer type [-Wincompatible-pointer-types]
__pyx_t_1 = __pyx_f_7sklearn_9neighbors_12dist_metrics_19MahalanobisDistance_rdist(((struct __pyx_obj_7sklearn_9neighbors_12dist_metrics_DistanceMetric *)__pyx_v_self), __pyx_v_x1, __pyx_v_x2, __pyx_v_size); if (unlikely(__pyx_t_1 == ((__pyx_t_7sklearn_9neighbors_8typedefs_DTYPE_t)-1.0))) __PYX_ERR(1, 685, __pyx_L1_error)
^
sklearn/neighbors/dist_metrics.c:9202:54: note: expected 'struct __pyx_obj_7sklearn_9neighbors_12dist_metrics_MahalanobisDistance *' but argument is of type 'struct __pyx_obj_7sklearn_9neighbors_12dist_metrics_DistanceMetric *'
static __pyx_t_7sklearn_9neighbors_8typedefs_DTYPE_t __pyx_f_7sklearn_9neighbors_12dist_metrics_19MahalanobisDistance_rdist(struct __pyx_obj_7sklearn_9neighbors_12dist_metrics_MahalanobisDistance *__pyx_v_self, __pyx_t_7sklearn_9neighbors_8typedefs_DTYPE_t *__pyx_v_x1, __pyx_t_7sklearn_9neighbors_8typedefs_DTYPE_t *__pyx_v_x2, __pyx_t_7sklearn_9neighbors_8typedefs_ITYPE_t __pyx_v_size) {
^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
arm-linux-gnueabihf-gcc -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-z,relro -Wl,-z,relro -g -O2 -fdebug-prefix-map=/<<PKGBUILDDIR>>=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 build/temp.linux-armv8l-3.6/sklearn/neighbors/dist_metrics.o -Lbuild/temp.linux-armv8l-3.6 -lm -o build/lib.linux-armv8l-3.6/sklearn/neighbors/dist_metrics.cpython-36m-arm-linux-gnueabihf.so
building 'sklearn.neighbors.typedefs' extension
compiling C sources
C compiler: arm-linux-gnueabihf-gcc -pthread -DNDEBUG -g -fwrapv -O2 -Wall -g -O2 -fdebug-prefix-map=/<<PKGBUILDDIR>>=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC
compile options: '-I/usr/lib/python3/dist-packages/numpy/core/include -I/usr/lib/python3/dist-packages/numpy/core/include -I/usr/include/python3.6m -c'
arm-linux-gnueabihf-gcc: sklearn/neighbors/typedefs.c
In file included from /usr/lib/python3/dist-packages/numpy/core/include/numpy/ndarraytypes.h:1816:0,
from /usr/lib/python3/dist-packages/numpy/core/include/numpy/ndarrayobject.h:18,
from /usr/lib/python3/dist-packages/numpy/core/include/numpy/arrayobject.h:4,
from sklearn/neighbors/typedefs.c:589:
/usr/lib/python3/dist-packages/numpy/core/include/numpy/npy_1_7_deprecated_api.h:15:2: warning: #warning "Using deprecated NumPy API, disable it by " "#defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp]
#warning "Using deprecated NumPy API, disable it by " \
^~~~~~~
arm-linux-gnueabihf-gcc -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-z,relro -Wl,-z,relro -g -O2 -fdebug-prefix-map=/<<PKGBUILDDIR>>=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 build/temp.linux-armv8l-3.6/sklearn/neighbors/typedefs.o -Lbuild/temp.linux-armv8l-3.6 -lm -o build/lib.linux-armv8l-3.6/sklearn/neighbors/typedefs.cpython-36m-arm-linux-gnueabihf.so
building 'sklearn.neighbors.quad_tree' extension
compiling C sources
C compiler: arm-linux-gnueabihf-gcc -pthread -DNDEBUG -g -fwrapv -O2 -Wall -g -O2 -fdebug-prefix-map=/<<PKGBUILDDIR>>=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC
compile options: '-I/usr/lib/python3/dist-packages/numpy/core/include -I/usr/lib/python3/dist-packages/numpy/core/include -I/usr/include/python3.6m -c'
arm-linux-gnueabihf-gcc: sklearn/neighbors/quad_tree.c
In file included from /usr/lib/python3/dist-packages/numpy/core/include/numpy/ndarraytypes.h:1816:0,
from /usr/lib/python3/dist-packages/numpy/core/include/numpy/ndarrayobject.h:18,
from /usr/lib/python3/dist-packages/numpy/core/include/numpy/arrayobject.h:4,
from sklearn/neighbors/quad_tree.c:589:
/usr/lib/python3/dist-packages/numpy/core/include/numpy/npy_1_7_deprecated_api.h:15:2: warning: #warning "Using deprecated NumPy API, disable it by " "#defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp]
#warning "Using deprecated NumPy API, disable it by " \
^~~~~~~
sklearn/neighbors/quad_tree.c: In function '__pyx_f_7sklearn_9neighbors_9quad_tree_9_QuadTree_insert_point':
sklearn/neighbors/quad_tree.c:3719:64: warning: format '%li' expects argument of type 'long int', but argument 2 has type '__pyx_t_7sklearn_9neighbors_9quad_tree_SIZE_t {aka int}' [-Wformat=]
(void)(printf(((char const *)"[QuadTree] Inserting depth %li\n"), __pyx_v_cell->depth));
~~^ ~~~~~~~~~~~~~~~~~~~
%i
sklearn/neighbors/quad_tree.c:3833:65: warning: format '%li' expects argument of type 'long int', but argument 2 has type '__pyx_t_7sklearn_9neighbors_9quad_tree_SIZE_t {aka int}' [-Wformat=]
(void)(printf(((char const *)"[QuadTree] inserted point %li in cell %li\n"), __pyx_v_point_index, __pyx_v_cell_id));
~~^
%i
sklearn/neighbors/quad_tree.c:3833:77: warning: format '%li' expects argument of type 'long int', but argument 3 has type '__pyx_t_7sklearn_9neighbors_9quad_tree_SIZE_t {aka int}' [-Wformat=]
(void)(printf(((char const *)"[QuadTree] inserted point %li in cell %li\n"), __pyx_v_point_index, __pyx_v_cell_id));
~~^
%i
sklearn/neighbors/quad_tree.c:3930:65: warning: format '%li' expects argument of type 'long int', but argument 2 has type '__pyx_t_7sklearn_9neighbors_9quad_tree_SIZE_t {aka int}' [-Wformat=]
(void)(printf(((char const *)"[QuadTree] selected child %li\n"), __pyx_v_selected_child));
~~^
%i
sklearn/neighbors/quad_tree.c: In function '__pyx_f_7sklearn_9neighbors_9quad_tree_9_QuadTree__insert_point_in_new_child':
sklearn/neighbors/quad_tree.c:4512:63: warning: format '%li' expects argument of type 'long int', but argument 2 has type '__pyx_t_7sklearn_9neighbors_9quad_tree_SIZE_t {aka int}' [-Wformat=]
(void)(printf(((char const *)"[QuadTree] inserted point %li in new child %li\n"), __pyx_v_point_index, __pyx_v_cell_id));
~~^
%i
sklearn/neighbors/quad_tree.c:4512:80: warning: format '%li' expects argument of type 'long int', but argument 3 has type '__pyx_t_7sklearn_9neighbors_9quad_tree_SIZE_t {aka int}' [-Wformat=]
(void)(printf(((char const *)"[QuadTree] inserted point %li in new child %li\n"), __pyx_v_point_index, __pyx_v_cell_id));
~~^
%i
sklearn/neighbors/quad_tree.c: In function '__pyx_f_7sklearn_9neighbors_9quad_tree_9_QuadTree__check_point_in_cell':
sklearn/neighbors/quad_tree.c:5008:88: warning: format '%li' expects argument of type 'long int', but argument 5 has type '__pyx_t_7sklearn_9neighbors_9quad_tree_SIZE_t {aka int}' [-Wformat=]
(void)(printf(((char const *)"[QuadTree] Checking point (%f, %f, %f) in cell %li ([%f/%f, %f/%f, %f/%f], size %li)\n"), (__pyx_v_point[0]), (__pyx_v_point[1]), (__pyx_v_point[2]), __pyx_v_cell->cell_id, (__pyx_v_cell->min_bounds[0]), (__pyx_v_cell->max_bounds[0]), (__pyx_v_cell->min_bounds[1]), (__pyx_v_cell->max_bounds[1]), (__pyx_v_cell->min_bounds[2]), (__pyx_v_cell->max_bounds[2]), __pyx_v_cell->cumulative_size));
~~^ ~~~~~~~~~~~~~~~~~~~~~
%i
sklearn/neighbors/quad_tree.c:5008:121: warning: format '%li' expects argument of type 'long int', but argument 12 has type '__pyx_t_7sklearn_9neighbors_9quad_tree_SIZE_t {aka int}' [-Wformat=]
(void)(printf(((char const *)"[QuadTree] Checking point (%f, %f, %f) in cell %li ([%f/%f, %f/%f, %f/%f], size %li)\n"), (__pyx_v_point[0]), (__pyx_v_point[1]), (__pyx_v_point[2]), __pyx_v_cell->cell_id, (__pyx_v_cell->min_bounds[0]), (__pyx_v_cell->max_bounds[0]), (__pyx_v_cell->min_bounds[1]), (__pyx_v_cell->max_bounds[1]), (__pyx_v_cell->min_bounds[2]), (__pyx_v_cell->max_bounds[2]), __pyx_v_cell->cumulative_size));
~~^ ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
%i
sklearn/neighbors/quad_tree.c:5036:84: warning: format '%li' expects argument of type 'long int', but argument 4 has type '__pyx_t_7sklearn_9neighbors_9quad_tree_SIZE_t {aka int}' [-Wformat=]
(void)(printf(((char const *)"[QuadTree] Checking point (%f, %f) in cell %li ([%f/%f, %f/%f], size %li)\n"), (__pyx_v_point[0]), (__pyx_v_point[1]), __pyx_v_cell->cell_id, (__pyx_v_cell->min_bounds[0]), (__pyx_v_cell->max_bounds[0]), (__pyx_v_cell->min_bounds[1]), (__pyx_v_cell->max_bounds[1]), __pyx_v_cell->cumulative_size));
~~^ ~~~~~~~~~~~~~~~~~~~~~
%i
sklearn/neighbors/quad_tree.c:5036:110: warning: format '%li' expects argument of type 'long int', but argument 9 has type '__pyx_t_7sklearn_9neighbors_9quad_tree_SIZE_t {aka int}' [-Wformat=]
(void)(printf(((char const *)"[QuadTree] Checking point (%f, %f) in cell %li ([%f/%f, %f/%f], size %li)\n"), (__pyx_v_point[0]), (__pyx_v_point[1]), __pyx_v_cell->cell_id, (__pyx_v_cell->min_bounds[0]), (__pyx_v_cell->max_bounds[0]), (__pyx_v_cell->min_bounds[1]), (__pyx_v_cell->max_bounds[1]), __pyx_v_cell->cumulative_size));
~~^ ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
%i
sklearn/neighbors/quad_tree.c: In function '__pyx_f_7sklearn_9neighbors_9quad_tree_9_QuadTree__get_cell':
sklearn/neighbors/quad_tree.c:6248:75: warning: format '%li' expects argument of type 'long int', but argument 2 has type '__pyx_t_7sklearn_9neighbors_9quad_tree_SIZE_t {aka int}' [-Wformat=]
(void)(printf(((char const *)"[QuadTree] Found point in cell: %li\n"), __pyx_v_cell->cell_id));
~~^ ~~~~~~~~~~~~~~~~~~~~~
%i
sklearn/neighbors/quad_tree.c:6367:68: warning: format '%li' expects argument of type 'long int', but argument 2 has type '__pyx_t_7sklearn_9neighbors_9quad_tree_SIZE_t {aka int}' [-Wformat=]
(void)(printf(((char const *)"[QuadTree] Selected_child: %li\n"), __pyx_v_selected_child));
~~^
%i
sklearn/neighbors/quad_tree.c: In function '__pyx_f_7sklearn_9neighbors_9quad_tree_9_QuadTree__get_cell_ndarray':
sklearn/neighbors/quad_tree.c:7127:36: warning: passing argument 1 of '(PyObject * (*)(PyTypeObject *, PyArray_Descr *, int, npy_intp *, npy_intp *, void *, int, PyObject *))*(PyArray_API + 376)' from incompatible pointer type [-Wincompatible-pointer-types]
__pyx_t_2 = PyArray_NewFromDescr(((PyObject *)__pyx_ptype_5numpy_ndarray), ((PyArray_Descr *)__pyx_t_1), 1, __pyx_v_shape, __pyx_v_strides, ((void *)__pyx_v_self->cells), NPY_DEFAULT, Py_None); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 574, __pyx_L1_error)
^
sklearn/neighbors/quad_tree.c:7127:36: note: expected 'PyTypeObject * {aka struct _typeobject *}' but argument is of type 'PyObject * {aka struct _object *}'
arm-linux-gnueabihf-gcc -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-z,relro -Wl,-z,relro -g -O2 -fdebug-prefix-map=/<<PKGBUILDDIR>>=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 build/temp.linux-armv8l-3.6/sklearn/neighbors/quad_tree.o -Lbuild/temp.linux-armv8l-3.6 -lm -o build/lib.linux-armv8l-3.6/sklearn/neighbors/quad_tree.cpython-36m-arm-linux-gnueabihf.so
building 'sklearn.tree._tree' extension
compiling C sources
C compiler: arm-linux-gnueabihf-gcc -pthread -DNDEBUG -g -fwrapv -O2 -Wall -g -O2 -fdebug-prefix-map=/<<PKGBUILDDIR>>=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC
creating build/temp.linux-armv8l-3.6/sklearn/tree
compile options: '-I/usr/lib/python3/dist-packages/numpy/core/include -I/usr/lib/python3/dist-packages/numpy/core/include -I/usr/include/python3.6m -c'
extra options: '-O3'
arm-linux-gnueabihf-gcc: sklearn/tree/_tree.c
In file included from /usr/lib/python3/dist-packages/numpy/core/include/numpy/ndarraytypes.h:1816:0,
from /usr/lib/python3/dist-packages/numpy/core/include/numpy/ndarrayobject.h:18,
from /usr/lib/python3/dist-packages/numpy/core/include/numpy/arrayobject.h:4,
from sklearn/tree/_tree.c:592:
/usr/lib/python3/dist-packages/numpy/core/include/numpy/npy_1_7_deprecated_api.h:15:2: warning: #warning "Using deprecated NumPy API, disable it by " "#defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp]
#warning "Using deprecated NumPy API, disable it by " \
^~~~~~~
sklearn/tree/_tree.c: In function '__pyx_f_7sklearn_4tree_5_tree_4Tree__get_node_ndarray':
sklearn/tree/_tree.c:14912:36: warning: passing argument 1 of '(PyObject * (*)(PyTypeObject *, PyArray_Descr *, int, npy_intp *, npy_intp *, void *, int, PyObject *))*(PyArray_API + 376)' from incompatible pointer type [-Wincompatible-pointer-types]
__pyx_t_2 = PyArray_NewFromDescr(((PyObject *)__pyx_ptype_5numpy_ndarray), ((PyArray_Descr *)__pyx_t_1), 1, __pyx_v_shape, __pyx_v_strides, ((void *)__pyx_v_self->nodes), NPY_DEFAULT, Py_None); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 1123, __pyx_L1_error)
^
sklearn/tree/_tree.c:14912:36: note: expected 'PyTypeObject * {aka struct _typeobject *}' but argument is of type 'PyObject * {aka struct _object *}'
arm-linux-gnueabihf-gcc -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-z,relro -Wl,-z,relro -g -O2 -fdebug-prefix-map=/<<PKGBUILDDIR>>=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 build/temp.linux-armv8l-3.6/sklearn/tree/_tree.o -Lbuild/temp.linux-armv8l-3.6 -lm -o build/lib.linux-armv8l-3.6/sklearn/tree/_tree.cpython-36m-arm-linux-gnueabihf.so
building 'sklearn.tree._splitter' extension
compiling C sources
C compiler: arm-linux-gnueabihf-gcc -pthread -DNDEBUG -g -fwrapv -O2 -Wall -g -O2 -fdebug-prefix-map=/<<PKGBUILDDIR>>=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC
compile options: '-I/usr/lib/python3/dist-packages/numpy/core/include -I/usr/lib/python3/dist-packages/numpy/core/include -I/usr/include/python3.6m -c'
extra options: '-O3'
arm-linux-gnueabihf-gcc: sklearn/tree/_splitter.c
In file included from /usr/lib/python3/dist-packages/numpy/core/include/numpy/ndarraytypes.h:1816:0,
from /usr/lib/python3/dist-packages/numpy/core/include/numpy/ndarrayobject.h:18,
from /usr/lib/python3/dist-packages/numpy/core/include/numpy/arrayobject.h:4,
from sklearn/tree/_splitter.c:592:
/usr/lib/python3/dist-packages/numpy/core/include/numpy/npy_1_7_deprecated_api.h:15:2: warning: #warning "Using deprecated NumPy API, disable it by " "#defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp]
#warning "Using deprecated NumPy API, disable it by " \
^~~~~~~
arm-linux-gnueabihf-gcc -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-z,relro -Wl,-z,relro -g -O2 -fdebug-prefix-map=/<<PKGBUILDDIR>>=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 build/temp.linux-armv8l-3.6/sklearn/tree/_splitter.o -Lbuild/temp.linux-armv8l-3.6 -lm -o build/lib.linux-armv8l-3.6/sklearn/tree/_splitter.cpython-36m-arm-linux-gnueabihf.so
building 'sklearn.tree._criterion' extension
compiling C sources
C compiler: arm-linux-gnueabihf-gcc -pthread -DNDEBUG -g -fwrapv -O2 -Wall -g -O2 -fdebug-prefix-map=/<<PKGBUILDDIR>>=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC
compile options: '-I/usr/lib/python3/dist-packages/numpy/core/include -I/usr/lib/python3/dist-packages/numpy/core/include -I/usr/include/python3.6m -c'
extra options: '-O3'
arm-linux-gnueabihf-gcc: sklearn/tree/_criterion.c
In file included from /usr/lib/python3/dist-packages/numpy/core/include/numpy/ndarraytypes.h:1816:0,
from /usr/lib/python3/dist-packages/numpy/core/include/numpy/ndarrayobject.h:18,
from /usr/lib/python3/dist-packages/numpy/core/include/numpy/arrayobject.h:4,
from sklearn/tree/_criterion.c:592:
/usr/lib/python3/dist-packages/numpy/core/include/numpy/npy_1_7_deprecated_api.h:15:2: warning: #warning "Using deprecated NumPy API, disable it by " "#defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp]
#warning "Using deprecated NumPy API, disable it by " \
^~~~~~~
arm-linux-gnueabihf-gcc -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-z,relro -Wl,-z,relro -g -O2 -fdebug-prefix-map=/<<PKGBUILDDIR>>=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 build/temp.linux-armv8l-3.6/sklearn/tree/_criterion.o -Lbuild/temp.linux-armv8l-3.6 -lm -o build/lib.linux-armv8l-3.6/sklearn/tree/_criterion.cpython-36m-arm-linux-gnueabihf.so
building 'sklearn.tree._utils' extension
compiling C sources
C compiler: arm-linux-gnueabihf-gcc -pthread -DNDEBUG -g -fwrapv -O2 -Wall -g -O2 -fdebug-prefix-map=/<<PKGBUILDDIR>>=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC
compile options: '-I/usr/lib/python3/dist-packages/numpy/core/include -I/usr/lib/python3/dist-packages/numpy/core/include -I/usr/include/python3.6m -c'
extra options: '-O3'
arm-linux-gnueabihf-gcc: sklearn/tree/_utils.c
In file included from /usr/lib/python3/dist-packages/numpy/core/include/numpy/ndarraytypes.h:1816:0,
from /usr/lib/python3/dist-packages/numpy/core/include/numpy/ndarrayobject.h:18,
from /usr/lib/python3/dist-packages/numpy/core/include/numpy/arrayobject.h:4,
from sklearn/tree/_utils.c:592:
/usr/lib/python3/dist-packages/numpy/core/include/numpy/npy_1_7_deprecated_api.h:15:2: warning: #warning "Using deprecated NumPy API, disable it by " "#defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp]
#warning "Using deprecated NumPy API, disable it by " \
^~~~~~~
sklearn/tree/_utils.c: In function '__pyx_f_7sklearn_4tree_6_utils_24WeightedMedianCalculator_remove':
sklearn/tree/_utils.c:9136:3: warning: '__pyx_v_original_median' may be used uninitialized in this function [-Wmaybe-uninitialized]
(void)(((struct __pyx_vtabstruct_7sklearn_4tree_6_utils_WeightedMedianCalculator *)__pyx_v_self->__pyx_vtab)->update_median_parameters_post_remove(__pyx_v_self, __pyx_v_data, __pyx_v_weight, __pyx_v_original_median));
^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
sklearn/tree/_utils.c: In function '__pyx_f_7sklearn_4tree_6_utils_24WeightedMedianCalculator_pop':
sklearn/tree/_utils.c:9248:3: warning: '__pyx_v_original_median' may be used uninitialized in this function [-Wmaybe-uninitialized]
(void)(((struct __pyx_vtabstruct_7sklearn_4tree_6_utils_WeightedMedianCalculator *)__pyx_v_self->__pyx_vtab)->update_median_parameters_post_remove(__pyx_v_self, (__pyx_v_data[0]), (__pyx_v_weight[0]), __pyx_v_original_median));
^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
sklearn/tree/_utils.c: In function '__pyx_f_7sklearn_4tree_6_utils_24WeightedMedianCalculator_push':
sklearn/tree/_utils.c:8780:3: warning: '__pyx_v_original_median' may be used uninitialized in this function [-Wmaybe-uninitialized]
(void)(((struct __pyx_vtabstruct_7sklearn_4tree_6_utils_WeightedMedianCalculator *)__pyx_v_self->__pyx_vtab)->update_median_parameters_post_push(__pyx_v_self, __pyx_v_data, __pyx_v_weight, __pyx_v_original_median));
^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
arm-linux-gnueabihf-gcc -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-z,relro -Wl,-z,relro -g -O2 -fdebug-prefix-map=/<<PKGBUILDDIR>>=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 build/temp.linux-armv8l-3.6/sklearn/tree/_utils.o -Lbuild/temp.linux-armv8l-3.6 -lm -o build/lib.linux-armv8l-3.6/sklearn/tree/_utils.cpython-36m-arm-linux-gnueabihf.so
building 'sklearn.svm.libsvm' extension
compiling C sources
C compiler: arm-linux-gnueabihf-gcc -pthread -DNDEBUG -g -fwrapv -O2 -Wall -g -O2 -fdebug-prefix-map=/<<PKGBUILDDIR>>=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC
compile options: '-I/usr/lib/python3/dist-packages/numpy/core/include -Isklearn/svm/src/libsvm -I/usr/lib/python3/dist-packages/numpy/core/include -I/usr/include/python3.6m -c'
arm-linux-gnueabihf-gcc: sklearn/svm/libsvm.c
In file included from /usr/lib/python3/dist-packages/numpy/core/include/numpy/ndarraytypes.h:1816:0,
from /usr/lib/python3/dist-packages/numpy/core/include/numpy/ndarrayobject.h:18,
from /usr/lib/python3/dist-packages/numpy/core/include/numpy/arrayobject.h:4,
from sklearn/svm/libsvm.c:594:
/usr/lib/python3/dist-packages/numpy/core/include/numpy/npy_1_7_deprecated_api.h:15:2: warning: #warning "Using deprecated NumPy API, disable it by " "#defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp]
#warning "Using deprecated NumPy API, disable it by " \
^~~~~~~
arm-linux-gnueabihf-g++ -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-z,relro -Wl,-z,relro -g -O2 -fdebug-prefix-map=/<<PKGBUILDDIR>>=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 build/temp.linux-armv8l-3.6/sklearn/svm/libsvm.o -Lbuild/temp.linux-armv8l-3.6 -llibsvm-skl -o build/lib.linux-armv8l-3.6/sklearn/svm/libsvm.cpython-36m-arm-linux-gnueabihf.so
building 'sklearn.svm.liblinear' extension
compiling C sources
C compiler: arm-linux-gnueabihf-gcc -pthread -DNDEBUG -g -fwrapv -O2 -Wall -g -O2 -fdebug-prefix-map=/<<PKGBUILDDIR>>=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC
compile options: '-Isklearn/svm -I./sklearn/svm -Isklearn/src/cblas -I/usr/lib/python3/dist-packages/numpy/core/include -I/usr/lib/python3/dist-packages/numpy/core/include -I/usr/include/python3.6m -c'
arm-linux-gnueabihf-gcc: sklearn/svm/liblinear.c
In file included from /usr/lib/python3/dist-packages/numpy/core/include/numpy/ndarraytypes.h:1816:0,
from /usr/lib/python3/dist-packages/numpy/core/include/numpy/ndarrayobject.h:18,
from /usr/lib/python3/dist-packages/numpy/core/include/numpy/arrayobject.h:4,
from sklearn/svm/liblinear.c:598:
/usr/lib/python3/dist-packages/numpy/core/include/numpy/npy_1_7_deprecated_api.h:15:2: warning: #warning "Using deprecated NumPy API, disable it by " "#defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp]
#warning "Using deprecated NumPy API, disable it by " \
^~~~~~~
In file included from sklearn/svm/liblinear.c:601:0:
sklearn/svm/src/liblinear/liblinear_helper.c: In function 'set_problem':
sklearn/svm/src/liblinear/liblinear_helper.c:145:28: warning: assignment from incompatible pointer type [-Wincompatible-pointer-types]
problem->sample_weight = sample_weight;
^
sklearn/svm/src/liblinear/liblinear_helper.c: In function 'csr_set_problem':
sklearn/svm/src/liblinear/liblinear_helper.c:174:28: warning: assignment from incompatible pointer type [-Wincompatible-pointer-types]
problem->sample_weight = sample_weight;
^
compiling C++ sources
C compiler: arm-linux-gnueabihf-g++ -pthread -DNDEBUG -g -fwrapv -O2 -Wall -g -O2 -fdebug-prefix-map=/<<PKGBUILDDIR>>=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC
creating build/temp.linux-armv8l-3.6/sklearn/svm/src/liblinear
compile options: '-Isklearn/svm -I./sklearn/svm -Isklearn/src/cblas -I/usr/lib/python3/dist-packages/numpy/core/include -I/usr/lib/python3/dist-packages/numpy/core/include -I/usr/include/python3.6m -c'
arm-linux-gnueabihf-g++: sklearn/svm/src/liblinear/linear.cpp
sklearn/svm/src/liblinear/linear.cpp: In function 'model* train(const problem*, const parameter*)':
sklearn/svm/src/liblinear/linear.cpp:2370:6: warning: unused variable 'n_iter' [-Wunused-variable]
int n_iter;
^~~~~~
arm-linux-gnueabihf-g++: sklearn/svm/src/liblinear/tron.cpp
arm-linux-gnueabihf-g++ -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-z,relro -Wl,-z,relro -g -O2 -fdebug-prefix-map=/<<PKGBUILDDIR>>=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 build/temp.linux-armv8l-3.6/sklearn/svm/liblinear.o build/temp.linux-armv8l-3.6/sklearn/svm/src/liblinear/linear.o build/temp.linux-armv8l-3.6/sklearn/svm/src/liblinear/tron.o -Lbuild/temp.linux-armv8l-3.6 -lcblas -lm -o build/lib.linux-armv8l-3.6/sklearn/svm/liblinear.cpython-36m-arm-linux-gnueabihf.so
building 'sklearn.svm.libsvm_sparse' extension
compiling C sources
C compiler: arm-linux-gnueabihf-gcc -pthread -DNDEBUG -g -fwrapv -O2 -Wall -g -O2 -fdebug-prefix-map=/<<PKGBUILDDIR>>=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC
compile options: '-I/usr/lib/python3/dist-packages/numpy/core/include -Isklearn/svm/src/libsvm -I/usr/lib/python3/dist-packages/numpy/core/include -I/usr/include/python3.6m -c'
arm-linux-gnueabihf-gcc: sklearn/svm/libsvm_sparse.c
In file included from /usr/lib/python3/dist-packages/numpy/core/include/numpy/ndarraytypes.h:1816:0,
from /usr/lib/python3/dist-packages/numpy/core/include/numpy/ndarrayobject.h:18,
from /usr/lib/python3/dist-packages/numpy/core/include/numpy/arrayobject.h:4,
from sklearn/svm/libsvm_sparse.c:592:
/usr/lib/python3/dist-packages/numpy/core/include/numpy/npy_1_7_deprecated_api.h:15:2: warning: #warning "Using deprecated NumPy API, disable it by " "#defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp]
#warning "Using deprecated NumPy API, disable it by " \
^~~~~~~
arm-linux-gnueabihf-g++ -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-z,relro -Wl,-z,relro -g -O2 -fdebug-prefix-map=/<<PKGBUILDDIR>>=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 build/temp.linux-armv8l-3.6/sklearn/svm/libsvm_sparse.o -Lbuild/temp.linux-armv8l-3.6 -llibsvm-skl -o build/lib.linux-armv8l-3.6/sklearn/svm/libsvm_sparse.cpython-36m-arm-linux-gnueabihf.so
building 'sklearn._isotonic' extension
compiling C sources
C compiler: arm-linux-gnueabihf-gcc -pthread -DNDEBUG -g -fwrapv -O2 -Wall -g -O2 -fdebug-prefix-map=/<<PKGBUILDDIR>>=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC
compile options: '-I/usr/lib/python3/dist-packages/numpy/core/include -I/usr/lib/python3/dist-packages/numpy/core/include -I/usr/include/python3.6m -c'
arm-linux-gnueabihf-gcc: sklearn/_isotonic.c
In file included from /usr/lib/python3/dist-packages/numpy/core/include/numpy/ndarraytypes.h:1816:0,
from /usr/lib/python3/dist-packages/numpy/core/include/numpy/ndarrayobject.h:18,
from /usr/lib/python3/dist-packages/numpy/core/include/numpy/arrayobject.h:4,
from sklearn/_isotonic.c:589:
/usr/lib/python3/dist-packages/numpy/core/include/numpy/npy_1_7_deprecated_api.h:15:2: warning: #warning "Using deprecated NumPy API, disable it by " "#defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp]
#warning "Using deprecated NumPy API, disable it by " \
^~~~~~~
arm-linux-gnueabihf-gcc -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-z,relro -Wl,-z,relro -g -O2 -fdebug-prefix-map=/<<PKGBUILDDIR>>=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 build/temp.linux-armv8l-3.6/sklearn/_isotonic.o -Lbuild/temp.linux-armv8l-3.6 -lm -o build/lib.linux-armv8l-3.6/sklearn/_isotonic.cpython-36m-arm-linux-gnueabihf.so
building 'sklearn.linear_model.cd_fast' extension
compiling C sources
C compiler: arm-linux-gnueabihf-gcc -pthread -DNDEBUG -g -fwrapv -O2 -Wall -g -O2 -fdebug-prefix-map=/<<PKGBUILDDIR>>=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC
creating build/temp.linux-armv8l-3.6/sklearn/linear_model
compile options: '-Isklearn/src/cblas -I/usr/lib/python3/dist-packages/numpy/core/include -I/usr/lib/python3/dist-packages/numpy/core/include -I/usr/include/python3.6m -c'
arm-linux-gnueabihf-gcc: sklearn/linear_model/cd_fast.c
In file included from /usr/lib/python3/dist-packages/numpy/core/include/numpy/ndarraytypes.h:1816:0,
from /usr/lib/python3/dist-packages/numpy/core/include/numpy/ndarrayobject.h:18,
from /usr/lib/python3/dist-packages/numpy/core/include/numpy/arrayobject.h:4,
from sklearn/linear_model/cd_fast.c:593:
/usr/lib/python3/dist-packages/numpy/core/include/numpy/npy_1_7_deprecated_api.h:15:2: warning: #warning "Using deprecated NumPy API, disable it by " "#defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp]
#warning "Using deprecated NumPy API, disable it by " \
^~~~~~~
sklearn/linear_model/cd_fast.c: In function '__pyx_pf_7sklearn_12linear_model_7cd_fast_8enet_coordinate_descent':
sklearn/linear_model/cd_fast.c:4899:15: warning: assignment from incompatible pointer type [-Wincompatible-pointer-types]
__pyx_v_dot = cblas_sdot;
^
sklearn/linear_model/cd_fast.c:4908:16: warning: assignment from incompatible pointer type [-Wincompatible-pointer-types]
__pyx_v_axpy = cblas_saxpy;
^
sklearn/linear_model/cd_fast.c:4917:16: warning: assignment from incompatible pointer type [-Wincompatible-pointer-types]
__pyx_v_asum = cblas_sasum;
^
sklearn/linear_model/cd_fast.c: In function '__pyx_pf_7sklearn_12linear_model_7cd_fast_10enet_coordinate_descent':
sklearn/linear_model/cd_fast.c:6351:15: warning: assignment from incompatible pointer type [-Wincompatible-pointer-types]
__pyx_v_dot = cblas_ddot;
^
sklearn/linear_model/cd_fast.c:6360:16: warning: assignment from incompatible pointer type [-Wincompatible-pointer-types]
__pyx_v_axpy = cblas_daxpy;
^
sklearn/linear_model/cd_fast.c:6369:16: warning: assignment from incompatible pointer type [-Wincompatible-pointer-types]
__pyx_v_asum = cblas_dasum;
^
sklearn/linear_model/cd_fast.c: In function '__pyx_pf_7sklearn_12linear_model_7cd_fast_14sparse_enet_coordinate_descent':
sklearn/linear_model/cd_fast.c:8456:15: warning: assignment from incompatible pointer type [-Wincompatible-pointer-types]
__pyx_v_dot = cblas_sdot;
^
sklearn/linear_model/cd_fast.c:8465:16: warning: assignment from incompatible pointer type [-Wincompatible-pointer-types]
__pyx_v_asum = cblas_sasum;
^
sklearn/linear_model/cd_fast.c: In function '__pyx_pf_7sklearn_12linear_model_7cd_fast_16sparse_enet_coordinate_descent':
sklearn/linear_model/cd_fast.c:10450:15: warning: assignment from incompatible pointer type [-Wincompatible-pointer-types]
__pyx_v_dot = cblas_ddot;
^
sklearn/linear_model/cd_fast.c:10459:16: warning: assignment from incompatible pointer type [-Wincompatible-pointer-types]
__pyx_v_asum = cblas_dasum;
^
sklearn/linear_model/cd_fast.c: In function '__pyx_pf_7sklearn_12linear_model_7cd_fast_20enet_coordinate_descent_gram':
sklearn/linear_model/cd_fast.c:12805:15: warning: assignment from incompatible pointer type [-Wincompatible-pointer-types]
__pyx_v_dot = cblas_sdot;
^
sklearn/linear_model/cd_fast.c:12814:16: warning: assignment from incompatible pointer type [-Wincompatible-pointer-types]
__pyx_v_axpy = cblas_saxpy;
^
sklearn/linear_model/cd_fast.c:12823:16: warning: assignment from incompatible pointer type [-Wincompatible-pointer-types]
__pyx_v_asum = cblas_sasum;
^
sklearn/linear_model/cd_fast.c: In function '__pyx_pf_7sklearn_12linear_model_7cd_fast_22enet_coordinate_descent_gram':
sklearn/linear_model/cd_fast.c:14337:15: warning: assignment from incompatible pointer type [-Wincompatible-pointer-types]
__pyx_v_dot = cblas_ddot;
^
sklearn/linear_model/cd_fast.c:14346:16: warning: assignment from incompatible pointer type [-Wincompatible-pointer-types]
__pyx_v_axpy = cblas_daxpy;
^
sklearn/linear_model/cd_fast.c:14355:16: warning: assignment from incompatible pointer type [-Wincompatible-pointer-types]
__pyx_v_asum = cblas_dasum;
^
sklearn/linear_model/cd_fast.c: In function '__pyx_pf_7sklearn_12linear_model_7cd_fast_26enet_coordinate_descent_multi_task':
sklearn/linear_model/cd_fast.c:16352:15: warning: assignment from incompatible pointer type [-Wincompatible-pointer-types]
__pyx_v_dot = cblas_sdot;
^
sklearn/linear_model/cd_fast.c:16361:16: warning: assignment from incompatible pointer type [-Wincompatible-pointer-types]
__pyx_v_nrm2 = cblas_snrm2;
^
sklearn/linear_model/cd_fast.c:16370:16: warning: assignment from incompatible pointer type [-Wincompatible-pointer-types]
__pyx_v_asum = cblas_sasum;
^
sklearn/linear_model/cd_fast.c:16379:16: warning: assignment from incompatible pointer type [-Wincompatible-pointer-types]
__pyx_v_copy = cblas_scopy;
^
sklearn/linear_model/cd_fast.c:16397:15: warning: assignment from incompatible pointer type [-Wincompatible-pointer-types]
__pyx_v_ger = cblas_sger;
^
sklearn/linear_model/cd_fast.c:16406:16: warning: assignment from incompatible pointer type [-Wincompatible-pointer-types]
__pyx_v_gemv = cblas_sgemv;
^
sklearn/linear_model/cd_fast.c: In function '__pyx_pf_7sklearn_12linear_model_7cd_fast_28enet_coordinate_descent_multi_task':
sklearn/linear_model/cd_fast.c:18089:15: warning: assignment from incompatible pointer type [-Wincompatible-pointer-types]
__pyx_v_dot = cblas_ddot;
^
sklearn/linear_model/cd_fast.c:18098:16: warning: assignment from incompatible pointer type [-Wincompatible-pointer-types]
__pyx_v_nrm2 = cblas_dnrm2;
^
sklearn/linear_model/cd_fast.c:18107:16: warning: assignment from incompatible pointer type [-Wincompatible-pointer-types]
__pyx_v_asum = cblas_dasum;
^
sklearn/linear_model/cd_fast.c:18116:16: warning: assignment from incompatible pointer type [-Wincompatible-pointer-types]
__pyx_v_copy = cblas_dcopy;
^
sklearn/linear_model/cd_fast.c:18134:15: warning: assignment from incompatible pointer type [-Wincompatible-pointer-types]
__pyx_v_ger = cblas_dger;
^
sklearn/linear_model/cd_fast.c:18143:16: warning: assignment from incompatible pointer type [-Wincompatible-pointer-types]
__pyx_v_gemv = cblas_dgemv;
^
arm-linux-gnueabihf-gcc -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-z,relro -Wl,-z,relro -g -O2 -fdebug-prefix-map=/<<PKGBUILDDIR>>=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 build/temp.linux-armv8l-3.6/sklearn/linear_model/cd_fast.o -Lbuild/temp.linux-armv8l-3.6 -lcblas -lm -o build/lib.linux-armv8l-3.6/sklearn/linear_model/cd_fast.cpython-36m-arm-linux-gnueabihf.so
building 'sklearn.linear_model.sgd_fast' extension
compiling C sources
C compiler: arm-linux-gnueabihf-gcc -pthread -DNDEBUG -g -fwrapv -O2 -Wall -g -O2 -fdebug-prefix-map=/<<PKGBUILDDIR>>=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC
compile options: '-Isklearn/linear_model -Isklearn/src/cblas -I/usr/lib/python3/dist-packages/numpy/core/include -I/usr/lib/python3/dist-packages/numpy/core/include -I/usr/include/python3.6m -c'
arm-linux-gnueabihf-gcc: sklearn/linear_model/sgd_fast.c
In file included from /usr/lib/python3/dist-packages/numpy/core/include/numpy/ndarraytypes.h:1816:0,
from /usr/lib/python3/dist-packages/numpy/core/include/numpy/ndarrayobject.h:18,
from /usr/lib/python3/dist-packages/numpy/core/include/numpy/arrayobject.h:4,
from sklearn/linear_model/sgd_fast.c:595:
/usr/lib/python3/dist-packages/numpy/core/include/numpy/npy_1_7_deprecated_api.h:15:2: warning: #warning "Using deprecated NumPy API, disable it by " "#defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp]
#warning "Using deprecated NumPy API, disable it by " \
^~~~~~~
arm-linux-gnueabihf-gcc -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-z,relro -Wl,-z,relro -g -O2 -fdebug-prefix-map=/<<PKGBUILDDIR>>=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 build/temp.linux-armv8l-3.6/sklearn/linear_model/sgd_fast.o -Lbuild/temp.linux-armv8l-3.6 -lcblas -lm -o build/lib.linux-armv8l-3.6/sklearn/linear_model/sgd_fast.cpython-36m-arm-linux-gnueabihf.so
building 'sklearn.linear_model.sag_fast' extension
compiling C sources
C compiler: arm-linux-gnueabihf-gcc -pthread -DNDEBUG -g -fwrapv -O2 -Wall -g -O2 -fdebug-prefix-map=/<<PKGBUILDDIR>>=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC
compile options: '-Isklearn/linear_model -I/usr/lib/python3/dist-packages/numpy/core/include -I/usr/lib/python3/dist-packages/numpy/core/include -I/usr/include/python3.6m -c'
arm-linux-gnueabihf-gcc: sklearn/linear_model/sag_fast.c
In file included from /usr/lib/python3/dist-packages/numpy/core/include/numpy/ndarraytypes.h:1816:0,
from /usr/lib/python3/dist-packages/numpy/core/include/numpy/ndarrayobject.h:18,
from /usr/lib/python3/dist-packages/numpy/core/include/numpy/arrayobject.h:4,
from sklearn/linear_model/sag_fast.c:588:
/usr/lib/python3/dist-packages/numpy/core/include/numpy/npy_1_7_deprecated_api.h:15:2: warning: #warning "Using deprecated NumPy API, disable it by " "#defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp]
#warning "Using deprecated NumPy API, disable it by " \
^~~~~~~
arm-linux-gnueabihf-gcc -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-z,relro -Wl,-z,relro -g -O2 -fdebug-prefix-map=/<<PKGBUILDDIR>>=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 build/temp.linux-armv8l-3.6/sklearn/linear_model/sag_fast.o -Lbuild/temp.linux-armv8l-3.6 -o build/lib.linux-armv8l-3.6/sklearn/linear_model/sag_fast.cpython-36m-arm-linux-gnueabihf.so
building 'sklearn.utils.sparsefuncs_fast' extension
compiling C sources
C compiler: arm-linux-gnueabihf-gcc -pthread -DNDEBUG -g -fwrapv -O2 -Wall -g -O2 -fdebug-prefix-map=/<<PKGBUILDDIR>>=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC
creating build/temp.linux-armv8l-3.6/sklearn/utils
compile options: '-I/usr/lib/python3/dist-packages/numpy/core/include -I/usr/include/python3.6m -c'
arm-linux-gnueabihf-gcc: sklearn/utils/sparsefuncs_fast.c
In file included from /usr/lib/python3/dist-packages/numpy/core/include/numpy/ndarraytypes.h:1816:0,
from /usr/lib/python3/dist-packages/numpy/core/include/numpy/ndarrayobject.h:18,
from /usr/lib/python3/dist-packages/numpy/core/include/numpy/arrayobject.h:4,
from sklearn/utils/sparsefuncs_fast.c:584:
/usr/lib/python3/dist-packages/numpy/core/include/numpy/npy_1_7_deprecated_api.h:15:2: warning: #warning "Using deprecated NumPy API, disable it by " "#defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp]
#warning "Using deprecated NumPy API, disable it by " \
^~~~~~~
arm-linux-gnueabihf-gcc -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-z,relro -Wl,-z,relro -g -O2 -fdebug-prefix-map=/<<PKGBUILDDIR>>=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 build/temp.linux-armv8l-3.6/sklearn/utils/sparsefuncs_fast.o -Lbuild/temp.linux-armv8l-3.6 -lm -o build/lib.linux-armv8l-3.6/sklearn/utils/sparsefuncs_fast.cpython-36m-arm-linux-gnueabihf.so
building 'sklearn.utils.arrayfuncs' extension
compiling C sources
C compiler: arm-linux-gnueabihf-gcc -pthread -DNDEBUG -g -fwrapv -O2 -Wall -g -O2 -fdebug-prefix-map=/<<PKGBUILDDIR>>=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC
compile options: '-Isklearn/utils -Isklearn/src/cblas -I/usr/lib/python3/dist-packages/numpy/core/include -I/usr/lib/python3/dist-packages/numpy/core/include -I/usr/include/python3.6m -c'
arm-linux-gnueabihf-gcc: sklearn/utils/arrayfuncs.c
In file included from /usr/lib/python3/dist-packages/numpy/core/include/numpy/ndarraytypes.h:1816:0,
from /usr/lib/python3/dist-packages/numpy/core/include/numpy/ndarrayobject.h:18,
from /usr/lib/python3/dist-packages/numpy/core/include/numpy/arrayobject.h:4,
from sklearn/utils/arrayfuncs.c:593:
/usr/lib/python3/dist-packages/numpy/core/include/numpy/npy_1_7_deprecated_api.h:15:2: warning: #warning "Using deprecated NumPy API, disable it by " "#defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp]
#warning "Using deprecated NumPy API, disable it by " \
^~~~~~~
arm-linux-gnueabihf-gcc -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-z,relro -Wl,-z,relro -g -O2 -fdebug-prefix-map=/<<PKGBUILDDIR>>=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 build/temp.linux-armv8l-3.6/sklearn/utils/arrayfuncs.o -Lbuild/temp.linux-armv8l-3.6 -lcblas -lm -o build/lib.linux-armv8l-3.6/sklearn/utils/arrayfuncs.cpython-36m-arm-linux-gnueabihf.so
building 'sklearn.utils.murmurhash' extension
compiling C sources
C compiler: arm-linux-gnueabihf-gcc -pthread -DNDEBUG -g -fwrapv -O2 -Wall -g -O2 -fdebug-prefix-map=/<<PKGBUILDDIR>>=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC
compile options: '-Isklearn/utils -Isklearn/utils/src -I/usr/lib/python3/dist-packages/numpy/core/include -I/usr/include/python3.6m -c'
arm-linux-gnueabihf-gcc: sklearn/utils/murmurhash.c
In file included from /usr/lib/python3/dist-packages/numpy/core/include/numpy/ndarraytypes.h:1816:0,
from /usr/lib/python3/dist-packages/numpy/core/include/numpy/ndarrayobject.h:18,
from /usr/lib/python3/dist-packages/numpy/core/include/numpy/arrayobject.h:4,
from sklearn/utils/murmurhash.c:587:
/usr/lib/python3/dist-packages/numpy/core/include/numpy/npy_1_7_deprecated_api.h:15:2: warning: #warning "Using deprecated NumPy API, disable it by " "#defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp]
#warning "Using deprecated NumPy API, disable it by " \
^~~~~~~
compiling C++ sources
C compiler: arm-linux-gnueabihf-g++ -pthread -DNDEBUG -g -fwrapv -O2 -Wall -g -O2 -fdebug-prefix-map=/<<PKGBUILDDIR>>=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC
creating build/temp.linux-armv8l-3.6/sklearn/utils/src
compile options: '-Isklearn/utils -Isklearn/utils/src -I/usr/lib/python3/dist-packages/numpy/core/include -I/usr/include/python3.6m -c'
arm-linux-gnueabihf-g++: sklearn/utils/src/MurmurHash3.cpp
arm-linux-gnueabihf-g++ -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-z,relro -Wl,-z,relro -g -O2 -fdebug-prefix-map=/<<PKGBUILDDIR>>=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 build/temp.linux-armv8l-3.6/sklearn/utils/murmurhash.o build/temp.linux-armv8l-3.6/sklearn/utils/src/MurmurHash3.o -Lbuild/temp.linux-armv8l-3.6 -o build/lib.linux-armv8l-3.6/sklearn/utils/murmurhash.cpython-36m-arm-linux-gnueabihf.so
building 'sklearn.utils.lgamma' extension
compiling C sources
C compiler: arm-linux-gnueabihf-gcc -pthread -DNDEBUG -g -fwrapv -O2 -Wall -g -O2 -fdebug-prefix-map=/<<PKGBUILDDIR>>=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC
compile options: '-Isklearn/utils -Isklearn/utils/src -I/usr/lib/python3/dist-packages/numpy/core/include -I/usr/include/python3.6m -c'
arm-linux-gnueabihf-gcc: sklearn/utils/lgamma.c
arm-linux-gnueabihf-gcc: sklearn/utils/src/gamma.c
arm-linux-gnueabihf-gcc -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-z,relro -Wl,-z,relro -g -O2 -fdebug-prefix-map=/<<PKGBUILDDIR>>=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 build/temp.linux-armv8l-3.6/sklearn/utils/lgamma.o build/temp.linux-armv8l-3.6/sklearn/utils/src/gamma.o -Lbuild/temp.linux-armv8l-3.6 -lm -o build/lib.linux-armv8l-3.6/sklearn/utils/lgamma.cpython-36m-arm-linux-gnueabihf.so
building 'sklearn.utils.graph_shortest_path' extension
compiling C sources
C compiler: arm-linux-gnueabihf-gcc -pthread -DNDEBUG -g -fwrapv -O2 -Wall -g -O2 -fdebug-prefix-map=/<<PKGBUILDDIR>>=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC
compile options: '-I/usr/lib/python3/dist-packages/numpy/core/include -I/usr/lib/python3/dist-packages/numpy/core/include -I/usr/include/python3.6m -c'
arm-linux-gnueabihf-gcc: sklearn/utils/graph_shortest_path.c
In file included from /usr/lib/python3/dist-packages/numpy/core/include/numpy/ndarraytypes.h:1816:0,
from /usr/lib/python3/dist-packages/numpy/core/include/numpy/ndarrayobject.h:18,
from /usr/lib/python3/dist-packages/numpy/core/include/numpy/arrayobject.h:4,
from sklearn/utils/graph_shortest_path.c:586:
/usr/lib/python3/dist-packages/numpy/core/include/numpy/npy_1_7_deprecated_api.h:15:2: warning: #warning "Using deprecated NumPy API, disable it by " "#defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp]
#warning "Using deprecated NumPy API, disable it by " \
^~~~~~~
arm-linux-gnueabihf-gcc -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-z,relro -Wl,-z,relro -g -O2 -fdebug-prefix-map=/<<PKGBUILDDIR>>=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 build/temp.linux-armv8l-3.6/sklearn/utils/graph_shortest_path.o -Lbuild/temp.linux-armv8l-3.6 -o build/lib.linux-armv8l-3.6/sklearn/utils/graph_shortest_path.cpython-36m-arm-linux-gnueabihf.so
building 'sklearn.utils.fast_dict' extension
compiling C++ sources
C compiler: arm-linux-gnueabihf-g++ -pthread -DNDEBUG -g -fwrapv -O2 -Wall -g -O2 -fdebug-prefix-map=/<<PKGBUILDDIR>>=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC
compile options: '-I/usr/lib/python3/dist-packages/numpy/core/include -I/usr/lib/python3/dist-packages/numpy/core/include -I/usr/include/python3.6m -c'
arm-linux-gnueabihf-g++: sklearn/utils/fast_dict.cpp
In file included from /usr/lib/python3/dist-packages/numpy/core/include/numpy/ndarraytypes.h:1816:0,
from /usr/lib/python3/dist-packages/numpy/core/include/numpy/ndarrayobject.h:18,
from /usr/lib/python3/dist-packages/numpy/core/include/numpy/arrayobject.h:4,
from sklearn/utils/fast_dict.cpp:610:
/usr/lib/python3/dist-packages/numpy/core/include/numpy/npy_1_7_deprecated_api.h:15:2: warning: #warning "Using deprecated NumPy API, disable it by " "#defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp]
#warning "Using deprecated NumPy API, disable it by " \
^~~~~~~
sklearn/utils/fast_dict.cpp: In function 'PyObject* __pyx_pw_7sklearn_5utils_9fast_dict_1argmin(PyObject*, PyObject*)':
sklearn/utils/fast_dict.cpp:25797:47: warning: '__pyx_v_min_key' may be used uninitialized in this function [-Wmaybe-uninitialized]
return PyInt_FromLong((long) value);
^
sklearn/utils/fast_dict.cpp:4495:46: note: '__pyx_v_min_key' was declared here
__pyx_t_7sklearn_5utils_9fast_dict_ITYPE_t __pyx_v_min_key;
^~~~~~~~~~~~~~~
In file included from /usr/include/c++/7/map:60:0,
from sklearn/utils/fast_dict.cpp:607:
/usr/include/c++/7/bits/stl_tree.h: In member function 'std::pair<std::_Rb_tree_node_base*, std::_Rb_tree_node_base*> std::_Rb_tree<_Key, _Val, _KeyOfValue, _Compare, _Alloc>::_M_get_insert_hint_unique_pos(std::_Rb_tree<_Key, _Val, _KeyOfValue, _Compare, _Alloc>::const_iterator, const key_type&) [with _Key = int; _Val = std::pair<const int, double>; _KeyOfValue = std::_Select1st<std::pair<const int, double> >; _Compare = std::less<int>; _Alloc = std::allocator<std::pair<const int, double> >]':
/usr/include/c++/7/bits/stl_tree.h:2130:5: note: parameter passing for argument of type 'std::_Rb_tree<int, std::pair<const int, double>, std::_Select1st<std::pair<const int, double> >, std::less<int>, std::allocator<std::pair<const int, double> > >::const_iterator {aka std::_Rb_tree_const_iterator<std::pair<const int, double> >}' changed in GCC 7.1
_Rb_tree<_Key, _Val, _KeyOfValue, _Compare, _Alloc>::
^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/include/c++/7/bits/stl_tree.h: In function 'std::_Rb_tree<_Key, _Val, _KeyOfValue, _Compare, _Alloc>::iterator std::_Rb_tree<_Key, _Val, _KeyOfValue, _Compare, _Alloc>::_M_emplace_hint_unique(std::_Rb_tree<_Key, _Val, _KeyOfValue, _Compare, _Alloc>::const_iterator, _Args&& ...) [with _Args = {const std::piecewise_construct_t&, std::tuple<const int&>, std::tuple<>}; _Key = int; _Val = std::pair<const int, double>; _KeyOfValue = std::_Select1st<std::pair<const int, double> >; _Compare = std::less<int>; _Alloc = std::allocator<std::pair<const int, double> >]':
/usr/include/c++/7/bits/stl_tree.h:2395:7: note: parameter passing for argument of type 'std::_Rb_tree<int, std::pair<const int, double>, std::_Select1st<std::pair<const int, double> >, std::less<int>, std::allocator<std::pair<const int, double> > >::const_iterator {aka std::_Rb_tree_const_iterator<std::pair<const int, double> >}' changed in GCC 7.1
_Rb_tree<_Key, _Val, _KeyOfValue, _Compare, _Alloc>::
^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
In file included from /usr/include/c++/7/map:61:0,
from sklearn/utils/fast_dict.cpp:607:
/usr/include/c++/7/bits/stl_map.h: In function 'int __pyx_pw_7sklearn_5utils_9fast_dict_12IntFloatDict_1__init__(PyObject*, PyObject*, PyObject*)':
/usr/include/c++/7/bits/stl_map.h:493:4: note: parameter passing for argument of type 'std::_Rb_tree<int, std::pair<const int, double>, std::_Select1st<std::pair<const int, double> >, std::less<int>, std::allocator<std::pair<const int, double> > >::const_iterator {aka std::_Rb_tree_const_iterator<std::pair<const int, double> >}' changed in GCC 7.1
__i = _M_t._M_emplace_hint_unique(__i, std::piecewise_construct,
^~~
/usr/include/c++/7/bits/stl_map.h: In function 'PyObject* __pyx_pw_7sklearn_5utils_9fast_dict_12IntFloatDict_14update(PyObject*, PyObject*)':
/usr/include/c++/7/bits/stl_map.h:493:4: note: parameter passing for argument of type 'std::_Rb_tree<int, std::pair<const int, double>, std::_Select1st<std::pair<const int, double> >, std::less<int>, std::allocator<std::pair<const int, double> > >::const_iterator {aka std::_Rb_tree_const_iterator<std::pair<const int, double> >}' changed in GCC 7.1
__i = _M_t._M_emplace_hint_unique(__i, std::piecewise_construct,
^~~
/usr/include/c++/7/bits/stl_map.h: In function 'int __pyx_mp_ass_subscript_7sklearn_5utils_9fast_dict_IntFloatDict(PyObject*, PyObject*, PyObject*)':
/usr/include/c++/7/bits/stl_map.h:493:4: note: parameter passing for argument of type 'std::_Rb_tree<int, std::pair<const int, double>, std::_Select1st<std::pair<const int, double> >, std::less<int>, std::allocator<std::pair<const int, double> > >::const_iterator {aka std::_Rb_tree_const_iterator<std::pair<const int, double> >}' changed in GCC 7.1
__i = _M_t._M_emplace_hint_unique(__i, std::piecewise_construct,
^~~
arm-linux-gnueabihf-g++ -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-z,relro -Wl,-z,relro -g -O2 -fdebug-prefix-map=/<<PKGBUILDDIR>>=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 build/temp.linux-armv8l-3.6/sklearn/utils/fast_dict.o -Lbuild/temp.linux-armv8l-3.6 -lm -o build/lib.linux-armv8l-3.6/sklearn/utils/fast_dict.cpython-36m-arm-linux-gnueabihf.so
building 'sklearn.utils.seq_dataset' extension
compiling C sources
C compiler: arm-linux-gnueabihf-gcc -pthread -DNDEBUG -g -fwrapv -O2 -Wall -g -O2 -fdebug-prefix-map=/<<PKGBUILDDIR>>=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC
compile options: '-I/usr/lib/python3/dist-packages/numpy/core/include -I/usr/lib/python3/dist-packages/numpy/core/include -I/usr/include/python3.6m -c'
arm-linux-gnueabihf-gcc: sklearn/utils/seq_dataset.c
In file included from /usr/lib/python3/dist-packages/numpy/core/include/numpy/ndarraytypes.h:1816:0,
from /usr/lib/python3/dist-packages/numpy/core/include/numpy/ndarrayobject.h:18,
from /usr/lib/python3/dist-packages/numpy/core/include/numpy/arrayobject.h:4,
from sklearn/utils/seq_dataset.c:586:
/usr/lib/python3/dist-packages/numpy/core/include/numpy/npy_1_7_deprecated_api.h:15:2: warning: #warning "Using deprecated NumPy API, disable it by " "#defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp]
#warning "Using deprecated NumPy API, disable it by " \
^~~~~~~
arm-linux-gnueabihf-gcc -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-z,relro -Wl,-z,relro -g -O2 -fdebug-prefix-map=/<<PKGBUILDDIR>>=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 build/temp.linux-armv8l-3.6/sklearn/utils/seq_dataset.o -Lbuild/temp.linux-armv8l-3.6 -o build/lib.linux-armv8l-3.6/sklearn/utils/seq_dataset.cpython-36m-arm-linux-gnueabihf.so
building 'sklearn.utils.weight_vector' extension
compiling C sources
C compiler: arm-linux-gnueabihf-gcc -pthread -DNDEBUG -g -fwrapv -O2 -Wall -g -O2 -fdebug-prefix-map=/<<PKGBUILDDIR>>=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC
compile options: '-Isklearn/src/cblas -I/usr/lib/python3/dist-packages/numpy/core/include -I/usr/lib/python3/dist-packages/numpy/core/include -I/usr/include/python3.6m -c'
arm-linux-gnueabihf-gcc: sklearn/utils/weight_vector.c
In file included from /usr/lib/python3/dist-packages/numpy/core/include/numpy/ndarraytypes.h:1816:0,
from /usr/lib/python3/dist-packages/numpy/core/include/numpy/ndarrayobject.h:18,
from /usr/lib/python3/dist-packages/numpy/core/include/numpy/arrayobject.h:4,
from sklearn/utils/weight_vector.c:592:
/usr/lib/python3/dist-packages/numpy/core/include/numpy/npy_1_7_deprecated_api.h:15:2: warning: #warning "Using deprecated NumPy API, disable it by " "#defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp]
#warning "Using deprecated NumPy API, disable it by " \
^~~~~~~
arm-linux-gnueabihf-gcc -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-z,relro -Wl,-z,relro -g -O2 -fdebug-prefix-map=/<<PKGBUILDDIR>>=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 build/temp.linux-armv8l-3.6/sklearn/utils/weight_vector.o -Lbuild/temp.linux-armv8l-3.6 -lcblas -lm -o build/lib.linux-armv8l-3.6/sklearn/utils/weight_vector.cpython-36m-arm-linux-gnueabihf.so
building 'sklearn.utils._random' extension
compiling C sources
C compiler: arm-linux-gnueabihf-gcc -pthread -DNDEBUG -g -fwrapv -O2 -Wall -g -O2 -fdebug-prefix-map=/<<PKGBUILDDIR>>=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC
compile options: '-I/usr/lib/python3/dist-packages/numpy/core/include -I/usr/lib/python3/dist-packages/numpy/core/include -I/usr/include/python3.6m -c'
arm-linux-gnueabihf-gcc: sklearn/utils/_random.c
In file included from /usr/lib/python3/dist-packages/numpy/core/include/numpy/ndarraytypes.h:1816:0,
from /usr/lib/python3/dist-packages/numpy/core/include/numpy/ndarrayobject.h:18,
from /usr/lib/python3/dist-packages/numpy/core/include/numpy/arrayobject.h:4,
from sklearn/utils/_random.c:589:
/usr/lib/python3/dist-packages/numpy/core/include/numpy/npy_1_7_deprecated_api.h:15:2: warning: #warning "Using deprecated NumPy API, disable it by " "#defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp]
#warning "Using deprecated NumPy API, disable it by " \
^~~~~~~
arm-linux-gnueabihf-gcc -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-z,relro -Wl,-z,relro -g -O2 -fdebug-prefix-map=/<<PKGBUILDDIR>>=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 build/temp.linux-armv8l-3.6/sklearn/utils/_random.o -Lbuild/temp.linux-armv8l-3.6 -lm -o build/lib.linux-armv8l-3.6/sklearn/utils/_random.cpython-36m-arm-linux-gnueabihf.so
building 'sklearn.utils._logistic_sigmoid' extension
compiling C sources
C compiler: arm-linux-gnueabihf-gcc -pthread -DNDEBUG -g -fwrapv -O2 -Wall -g -O2 -fdebug-prefix-map=/<<PKGBUILDDIR>>=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC
compile options: '-I/usr/lib/python3/dist-packages/numpy/core/include -I/usr/lib/python3/dist-packages/numpy/core/include -I/usr/include/python3.6m -c'
arm-linux-gnueabihf-gcc: sklearn/utils/_logistic_sigmoid.c
In file included from /usr/lib/python3/dist-packages/numpy/core/include/numpy/ndarraytypes.h:1816:0,
from /usr/lib/python3/dist-packages/numpy/core/include/numpy/ndarrayobject.h:18,
from /usr/lib/python3/dist-packages/numpy/core/include/numpy/arrayobject.h:4,
from sklearn/utils/_logistic_sigmoid.c:590:
/usr/lib/python3/dist-packages/numpy/core/include/numpy/npy_1_7_deprecated_api.h:15:2: warning: #warning "Using deprecated NumPy API, disable it by " "#defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp]
#warning "Using deprecated NumPy API, disable it by " \
^~~~~~~
arm-linux-gnueabihf-gcc -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-z,relro -Wl,-z,relro -g -O2 -fdebug-prefix-map=/<<PKGBUILDDIR>>=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 build/temp.linux-armv8l-3.6/sklearn/utils/_logistic_sigmoid.o -Lbuild/temp.linux-armv8l-3.6 -lm -o build/lib.linux-armv8l-3.6/sklearn/utils/_logistic_sigmoid.cpython-36m-arm-linux-gnueabihf.so
running install_lib
creating /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3
creating /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages
creating /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn
creating /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests
copying build/lib.linux-armv8l-3.6/sklearn/tests/test_naive_bayes.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests
copying build/lib.linux-armv8l-3.6/sklearn/tests/test_grid_search.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests
copying build/lib.linux-armv8l-3.6/sklearn/tests/test_discriminant_analysis.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests
copying build/lib.linux-armv8l-3.6/sklearn/tests/test_common.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests
copying build/lib.linux-armv8l-3.6/sklearn/tests/test_init.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests
copying build/lib.linux-armv8l-3.6/sklearn/tests/test_isotonic.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests
copying build/lib.linux-armv8l-3.6/sklearn/tests/test_multioutput.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests
copying build/lib.linux-armv8l-3.6/sklearn/tests/test_kernel_ridge.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests
copying build/lib.linux-armv8l-3.6/sklearn/tests/test_config.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests
copying build/lib.linux-armv8l-3.6/sklearn/tests/test_docstring_parameters.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests
copying build/lib.linux-armv8l-3.6/sklearn/tests/test_multiclass.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests
copying build/lib.linux-armv8l-3.6/sklearn/tests/test_dummy.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests
copying build/lib.linux-armv8l-3.6/sklearn/tests/test_calibration.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests
copying build/lib.linux-armv8l-3.6/sklearn/tests/test_random_projection.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests
copying build/lib.linux-armv8l-3.6/sklearn/tests/__init__.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests
copying build/lib.linux-armv8l-3.6/sklearn/tests/test_base.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests
copying build/lib.linux-armv8l-3.6/sklearn/tests/test_cross_validation.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests
copying build/lib.linux-armv8l-3.6/sklearn/tests/test_kernel_approximation.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests
copying build/lib.linux-armv8l-3.6/sklearn/tests/test_metaestimators.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests
copying build/lib.linux-armv8l-3.6/sklearn/tests/test_pipeline.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests
copying build/lib.linux-armv8l-3.6/sklearn/tests/test_check_build.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests
copying build/lib.linux-armv8l-3.6/sklearn/tests/test_learning_curve.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests
creating /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/externals
copying build/lib.linux-armv8l-3.6/sklearn/externals/funcsigs.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/externals
copying build/lib.linux-armv8l-3.6/sklearn/externals/test_externals_setup.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/externals
copying build/lib.linux-armv8l-3.6/sklearn/externals/setup.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/externals
copying build/lib.linux-armv8l-3.6/sklearn/externals/__init__.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/externals
copying build/lib.linux-armv8l-3.6/sklearn/externals/six.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/externals
creating /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/externals/joblib
copying build/lib.linux-armv8l-3.6/sklearn/externals/joblib/__init__.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/externals/joblib
copying build/lib.linux-armv8l-3.6/sklearn/multiclass.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn
creating /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils
creating /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/tests
copying build/lib.linux-armv8l-3.6/sklearn/utils/tests/test_testing.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/tests
copying build/lib.linux-armv8l-3.6/sklearn/utils/tests/test_optimize.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/tests
copying build/lib.linux-armv8l-3.6/sklearn/utils/tests/test_random.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/tests
copying build/lib.linux-armv8l-3.6/sklearn/utils/tests/test_class_weight.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/tests
copying build/lib.linux-armv8l-3.6/sklearn/utils/tests/test_estimator_checks.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/tests
copying build/lib.linux-armv8l-3.6/sklearn/utils/tests/test_multiclass.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/tests
copying build/lib.linux-armv8l-3.6/sklearn/utils/tests/test_murmurhash.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/tests
copying build/lib.linux-armv8l-3.6/sklearn/utils/tests/test_fixes.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/tests
copying build/lib.linux-armv8l-3.6/sklearn/utils/tests/test_graph.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/tests
copying build/lib.linux-armv8l-3.6/sklearn/utils/tests/test_utils.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/tests
copying build/lib.linux-armv8l-3.6/sklearn/utils/tests/test_deprecation.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/tests
copying build/lib.linux-armv8l-3.6/sklearn/utils/tests/test_stats.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/tests
copying build/lib.linux-armv8l-3.6/sklearn/utils/tests/__init__.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/tests
copying build/lib.linux-armv8l-3.6/sklearn/utils/tests/test_seq_dataset.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/tests
copying build/lib.linux-armv8l-3.6/sklearn/utils/tests/test_metaestimators.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/tests
copying build/lib.linux-armv8l-3.6/sklearn/utils/tests/test_bench.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/tests
copying build/lib.linux-armv8l-3.6/sklearn/utils/tests/test_extmath.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/tests
copying build/lib.linux-armv8l-3.6/sklearn/utils/tests/test_sparsefuncs.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/tests
copying build/lib.linux-armv8l-3.6/sklearn/utils/tests/test_fast_dict.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/tests
copying build/lib.linux-armv8l-3.6/sklearn/utils/tests/test_shortest_path.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/tests
copying build/lib.linux-armv8l-3.6/sklearn/utils/tests/test_validation.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/tests
copying build/lib.linux-armv8l-3.6/sklearn/utils/tests/test_linear_assignment.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/tests
copying build/lib.linux-armv8l-3.6/sklearn/utils/random.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils
copying build/lib.linux-armv8l-3.6/sklearn/utils/multiclass.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils
copying build/lib.linux-armv8l-3.6/sklearn/utils/fast_dict.cpython-36m-arm-linux-gnueabihf.so -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils
copying build/lib.linux-armv8l-3.6/sklearn/utils/sparsefuncs_fast.cpython-36m-arm-linux-gnueabihf.so -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils
copying build/lib.linux-armv8l-3.6/sklearn/utils/testing.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils
copying build/lib.linux-armv8l-3.6/sklearn/utils/graph_shortest_path.cpython-36m-arm-linux-gnueabihf.so -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils
copying build/lib.linux-armv8l-3.6/sklearn/utils/class_weight.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils
copying build/lib.linux-armv8l-3.6/sklearn/utils/_scipy_sparse_lsqr_backport.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils
copying build/lib.linux-armv8l-3.6/sklearn/utils/estimator_checks.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils
copying build/lib.linux-armv8l-3.6/sklearn/utils/lgamma.cpython-36m-arm-linux-gnueabihf.so -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils
copying build/lib.linux-armv8l-3.6/sklearn/utils/graph.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils
copying build/lib.linux-armv8l-3.6/sklearn/utils/arrayfuncs.cpython-36m-arm-linux-gnueabihf.so -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils
copying build/lib.linux-armv8l-3.6/sklearn/utils/deprecation.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils
copying build/lib.linux-armv8l-3.6/sklearn/utils/extmath.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils
copying build/lib.linux-armv8l-3.6/sklearn/utils/setup.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils
copying build/lib.linux-armv8l-3.6/sklearn/utils/validation.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils
copying build/lib.linux-armv8l-3.6/sklearn/utils/seq_dataset.cpython-36m-arm-linux-gnueabihf.so -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils
copying build/lib.linux-armv8l-3.6/sklearn/utils/fixes.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils
copying build/lib.linux-armv8l-3.6/sklearn/utils/arpack.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils
copying build/lib.linux-armv8l-3.6/sklearn/utils/__init__.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils
copying build/lib.linux-armv8l-3.6/sklearn/utils/bench.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils
copying build/lib.linux-armv8l-3.6/sklearn/utils/linear_assignment_.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils
copying build/lib.linux-armv8l-3.6/sklearn/utils/stats.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils
copying build/lib.linux-armv8l-3.6/sklearn/utils/metaestimators.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils
copying build/lib.linux-armv8l-3.6/sklearn/utils/_random.cpython-36m-arm-linux-gnueabihf.so -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils
copying build/lib.linux-armv8l-3.6/sklearn/utils/murmurhash.cpython-36m-arm-linux-gnueabihf.so -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils
creating /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/sparsetools
creating /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/sparsetools/tests
copying build/lib.linux-armv8l-3.6/sklearn/utils/sparsetools/tests/__init__.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/sparsetools/tests
copying build/lib.linux-armv8l-3.6/sklearn/utils/sparsetools/setup.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/sparsetools
copying build/lib.linux-armv8l-3.6/sklearn/utils/sparsetools/__init__.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/sparsetools
copying build/lib.linux-armv8l-3.6/sklearn/utils/sparsefuncs.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils
copying build/lib.linux-armv8l-3.6/sklearn/utils/_logistic_sigmoid.cpython-36m-arm-linux-gnueabihf.so -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils
copying build/lib.linux-armv8l-3.6/sklearn/utils/weight_vector.cpython-36m-arm-linux-gnueabihf.so -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils
copying build/lib.linux-armv8l-3.6/sklearn/utils/mocking.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils
copying build/lib.linux-armv8l-3.6/sklearn/utils/optimize.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils
creating /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/datasets
copying build/lib.linux-armv8l-3.6/sklearn/datasets/california_housing.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/datasets
creating /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/datasets/tests
copying build/lib.linux-armv8l-3.6/sklearn/datasets/tests/test_20news.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/datasets/tests
copying build/lib.linux-armv8l-3.6/sklearn/datasets/tests/test_rcv1.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/datasets/tests
copying build/lib.linux-armv8l-3.6/sklearn/datasets/tests/__init__.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/datasets/tests
copying build/lib.linux-armv8l-3.6/sklearn/datasets/tests/test_base.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/datasets/tests
copying build/lib.linux-armv8l-3.6/sklearn/datasets/tests/test_svmlight_format.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/datasets/tests
copying build/lib.linux-armv8l-3.6/sklearn/datasets/tests/test_covtype.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/datasets/tests
copying build/lib.linux-armv8l-3.6/sklearn/datasets/tests/test_lfw.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/datasets/tests
copying build/lib.linux-armv8l-3.6/sklearn/datasets/tests/test_mldata.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/datasets/tests
copying build/lib.linux-armv8l-3.6/sklearn/datasets/tests/test_kddcup99.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/datasets/tests
copying build/lib.linux-armv8l-3.6/sklearn/datasets/tests/test_samples_generator.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/datasets/tests
copying build/lib.linux-armv8l-3.6/sklearn/datasets/_svmlight_format.cpython-36m-arm-linux-gnueabihf.so -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/datasets
copying build/lib.linux-armv8l-3.6/sklearn/datasets/samples_generator.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/datasets
copying build/lib.linux-armv8l-3.6/sklearn/datasets/kddcup99.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/datasets
copying build/lib.linux-armv8l-3.6/sklearn/datasets/base.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/datasets
copying build/lib.linux-armv8l-3.6/sklearn/datasets/species_distributions.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/datasets
copying build/lib.linux-armv8l-3.6/sklearn/datasets/svmlight_format.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/datasets
copying build/lib.linux-armv8l-3.6/sklearn/datasets/rcv1.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/datasets
copying build/lib.linux-armv8l-3.6/sklearn/datasets/mlcomp.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/datasets
copying build/lib.linux-armv8l-3.6/sklearn/datasets/twenty_newsgroups.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/datasets
copying build/lib.linux-armv8l-3.6/sklearn/datasets/setup.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/datasets
copying build/lib.linux-armv8l-3.6/sklearn/datasets/covtype.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/datasets
copying build/lib.linux-armv8l-3.6/sklearn/datasets/mldata.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/datasets
copying build/lib.linux-armv8l-3.6/sklearn/datasets/__init__.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/datasets
copying build/lib.linux-armv8l-3.6/sklearn/datasets/lfw.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/datasets
copying build/lib.linux-armv8l-3.6/sklearn/datasets/olivetti_faces.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/datasets
creating /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/__check_build
copying build/lib.linux-armv8l-3.6/sklearn/__check_build/_check_build.cpython-36m-arm-linux-gnueabihf.so -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/__check_build
copying build/lib.linux-armv8l-3.6/sklearn/__check_build/setup.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/__check_build
copying build/lib.linux-armv8l-3.6/sklearn/__check_build/__init__.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/__check_build
copying build/lib.linux-armv8l-3.6/sklearn/base.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn
creating /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/svm
creating /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/svm/tests
copying build/lib.linux-armv8l-3.6/sklearn/svm/tests/test_svm.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/svm/tests
copying build/lib.linux-armv8l-3.6/sklearn/svm/tests/test_bounds.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/svm/tests
copying build/lib.linux-armv8l-3.6/sklearn/svm/tests/__init__.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/svm/tests
copying build/lib.linux-armv8l-3.6/sklearn/svm/tests/test_sparse.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/svm/tests
copying build/lib.linux-armv8l-3.6/sklearn/svm/base.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/svm
copying build/lib.linux-armv8l-3.6/sklearn/svm/libsvm_sparse.cpython-36m-arm-linux-gnueabihf.so -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/svm
copying build/lib.linux-armv8l-3.6/sklearn/svm/classes.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/svm
copying build/lib.linux-armv8l-3.6/sklearn/svm/setup.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/svm
copying build/lib.linux-armv8l-3.6/sklearn/svm/liblinear.cpython-36m-arm-linux-gnueabihf.so -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/svm
copying build/lib.linux-armv8l-3.6/sklearn/svm/libsvm.cpython-36m-arm-linux-gnueabihf.so -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/svm
copying build/lib.linux-armv8l-3.6/sklearn/svm/__init__.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/svm
copying build/lib.linux-armv8l-3.6/sklearn/svm/bounds.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/svm
creating /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/semi_supervised
creating /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/semi_supervised/tests
copying build/lib.linux-armv8l-3.6/sklearn/semi_supervised/tests/test_label_propagation.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/semi_supervised/tests
copying build/lib.linux-armv8l-3.6/sklearn/semi_supervised/tests/__init__.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/semi_supervised/tests
copying build/lib.linux-armv8l-3.6/sklearn/semi_supervised/label_propagation.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/semi_supervised
copying build/lib.linux-armv8l-3.6/sklearn/semi_supervised/__init__.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/semi_supervised
creating /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/decomposition
creating /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/decomposition/tests
copying build/lib.linux-armv8l-3.6/sklearn/decomposition/tests/test_pca.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/decomposition/tests
copying build/lib.linux-armv8l-3.6/sklearn/decomposition/tests/test_kernel_pca.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/decomposition/tests
copying build/lib.linux-armv8l-3.6/sklearn/decomposition/tests/test_dict_learning.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/decomposition/tests
copying build/lib.linux-armv8l-3.6/sklearn/decomposition/tests/test_incremental_pca.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/decomposition/tests
copying build/lib.linux-armv8l-3.6/sklearn/decomposition/tests/test_online_lda.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/decomposition/tests
copying build/lib.linux-armv8l-3.6/sklearn/decomposition/tests/test_factor_analysis.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/decomposition/tests
copying build/lib.linux-armv8l-3.6/sklearn/decomposition/tests/test_sparse_pca.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/decomposition/tests
copying build/lib.linux-armv8l-3.6/sklearn/decomposition/tests/__init__.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/decomposition/tests
copying build/lib.linux-armv8l-3.6/sklearn/decomposition/tests/test_truncated_svd.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/decomposition/tests
copying build/lib.linux-armv8l-3.6/sklearn/decomposition/tests/test_fastica.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/decomposition/tests
copying build/lib.linux-armv8l-3.6/sklearn/decomposition/tests/test_nmf.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/decomposition/tests
copying build/lib.linux-armv8l-3.6/sklearn/decomposition/base.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/decomposition
copying build/lib.linux-armv8l-3.6/sklearn/decomposition/pca.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/decomposition
copying build/lib.linux-armv8l-3.6/sklearn/decomposition/truncated_svd.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/decomposition
copying build/lib.linux-armv8l-3.6/sklearn/decomposition/fastica_.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/decomposition
copying build/lib.linux-armv8l-3.6/sklearn/decomposition/setup.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/decomposition
copying build/lib.linux-armv8l-3.6/sklearn/decomposition/online_lda.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/decomposition
copying build/lib.linux-armv8l-3.6/sklearn/decomposition/dict_learning.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/decomposition
copying build/lib.linux-armv8l-3.6/sklearn/decomposition/factor_analysis.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/decomposition
copying build/lib.linux-armv8l-3.6/sklearn/decomposition/kernel_pca.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/decomposition
copying build/lib.linux-armv8l-3.6/sklearn/decomposition/_online_lda.cpython-36m-arm-linux-gnueabihf.so -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/decomposition
copying build/lib.linux-armv8l-3.6/sklearn/decomposition/nmf.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/decomposition
copying build/lib.linux-armv8l-3.6/sklearn/decomposition/__init__.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/decomposition
copying build/lib.linux-armv8l-3.6/sklearn/decomposition/incremental_pca.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/decomposition
copying build/lib.linux-armv8l-3.6/sklearn/decomposition/sparse_pca.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/decomposition
copying build/lib.linux-armv8l-3.6/sklearn/decomposition/cdnmf_fast.cpython-36m-arm-linux-gnueabihf.so -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/decomposition
creating /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/feature_selection
creating /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/feature_selection/tests
copying build/lib.linux-armv8l-3.6/sklearn/feature_selection/tests/test_variance_threshold.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/feature_selection/tests
copying build/lib.linux-armv8l-3.6/sklearn/feature_selection/tests/test_feature_select.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/feature_selection/tests
copying build/lib.linux-armv8l-3.6/sklearn/feature_selection/tests/test_from_model.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/feature_selection/tests
copying build/lib.linux-armv8l-3.6/sklearn/feature_selection/tests/test_mutual_info.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/feature_selection/tests
copying build/lib.linux-armv8l-3.6/sklearn/feature_selection/tests/test_chi2.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/feature_selection/tests
copying build/lib.linux-armv8l-3.6/sklearn/feature_selection/tests/__init__.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/feature_selection/tests
copying build/lib.linux-armv8l-3.6/sklearn/feature_selection/tests/test_base.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/feature_selection/tests
copying build/lib.linux-armv8l-3.6/sklearn/feature_selection/tests/test_rfe.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/feature_selection/tests
copying build/lib.linux-armv8l-3.6/sklearn/feature_selection/rfe.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/feature_selection
copying build/lib.linux-armv8l-3.6/sklearn/feature_selection/base.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/feature_selection
copying build/lib.linux-armv8l-3.6/sklearn/feature_selection/univariate_selection.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/feature_selection
copying build/lib.linux-armv8l-3.6/sklearn/feature_selection/__init__.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/feature_selection
copying build/lib.linux-armv8l-3.6/sklearn/feature_selection/from_model.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/feature_selection
copying build/lib.linux-armv8l-3.6/sklearn/feature_selection/variance_threshold.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/feature_selection
copying build/lib.linux-armv8l-3.6/sklearn/feature_selection/mutual_info_.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/feature_selection
copying build/lib.linux-armv8l-3.6/sklearn/cross_validation.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn
creating /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/_build_utils
copying build/lib.linux-armv8l-3.6/sklearn/_build_utils/__init__.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/_build_utils
copying build/lib.linux-armv8l-3.6/sklearn/naive_bayes.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn
creating /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/model_selection
creating /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/model_selection/tests
copying build/lib.linux-armv8l-3.6/sklearn/model_selection/tests/common.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/model_selection/tests
copying build/lib.linux-armv8l-3.6/sklearn/model_selection/tests/test_search.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/model_selection/tests
copying build/lib.linux-armv8l-3.6/sklearn/model_selection/tests/test_split.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/model_selection/tests
copying build/lib.linux-armv8l-3.6/sklearn/model_selection/tests/__init__.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/model_selection/tests
copying build/lib.linux-armv8l-3.6/sklearn/model_selection/tests/test_validation.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/model_selection/tests
copying build/lib.linux-armv8l-3.6/sklearn/model_selection/_search.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/model_selection
copying build/lib.linux-armv8l-3.6/sklearn/model_selection/_validation.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/model_selection
copying build/lib.linux-armv8l-3.6/sklearn/model_selection/__init__.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/model_selection
copying build/lib.linux-armv8l-3.6/sklearn/model_selection/_split.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/model_selection
creating /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model
creating /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/tests
copying build/lib.linux-armv8l-3.6/sklearn/linear_model/tests/test_randomized_l1.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/tests
copying build/lib.linux-armv8l-3.6/sklearn/linear_model/tests/test_sparse_coordinate_descent.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/tests
copying build/lib.linux-armv8l-3.6/sklearn/linear_model/tests/test_huber.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/tests
copying build/lib.linux-armv8l-3.6/sklearn/linear_model/tests/test_passive_aggressive.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/tests
copying build/lib.linux-armv8l-3.6/sklearn/linear_model/tests/test_ransac.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/tests
copying build/lib.linux-armv8l-3.6/sklearn/linear_model/tests/test_bayes.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/tests
copying build/lib.linux-armv8l-3.6/sklearn/linear_model/tests/test_theil_sen.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/tests
copying build/lib.linux-armv8l-3.6/sklearn/linear_model/tests/test_logistic.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/tests
copying build/lib.linux-armv8l-3.6/sklearn/linear_model/tests/test_perceptron.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/tests
copying build/lib.linux-armv8l-3.6/sklearn/linear_model/tests/test_omp.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/tests
copying build/lib.linux-armv8l-3.6/sklearn/linear_model/tests/__init__.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/tests
copying build/lib.linux-armv8l-3.6/sklearn/linear_model/tests/test_base.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/tests
copying build/lib.linux-armv8l-3.6/sklearn/linear_model/tests/test_sag.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/tests
copying build/lib.linux-armv8l-3.6/sklearn/linear_model/tests/test_sgd.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/tests
copying build/lib.linux-armv8l-3.6/sklearn/linear_model/tests/test_ridge.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/tests
copying build/lib.linux-armv8l-3.6/sklearn/linear_model/tests/test_least_angle.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/tests
copying build/lib.linux-armv8l-3.6/sklearn/linear_model/tests/test_coordinate_descent.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/tests
copying build/lib.linux-armv8l-3.6/sklearn/linear_model/logistic.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model
copying build/lib.linux-armv8l-3.6/sklearn/linear_model/bayes.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model
copying build/lib.linux-armv8l-3.6/sklearn/linear_model/cd_fast.cpython-36m-arm-linux-gnueabihf.so -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model
copying build/lib.linux-armv8l-3.6/sklearn/linear_model/omp.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model
copying build/lib.linux-armv8l-3.6/sklearn/linear_model/sag.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model
copying build/lib.linux-armv8l-3.6/sklearn/linear_model/perceptron.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model
copying build/lib.linux-armv8l-3.6/sklearn/linear_model/base.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model
copying build/lib.linux-armv8l-3.6/sklearn/linear_model/randomized_l1.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model
copying build/lib.linux-armv8l-3.6/sklearn/linear_model/sag_fast.cpython-36m-arm-linux-gnueabihf.so -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model
copying build/lib.linux-armv8l-3.6/sklearn/linear_model/ridge.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model
copying build/lib.linux-armv8l-3.6/sklearn/linear_model/ransac.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model
copying build/lib.linux-armv8l-3.6/sklearn/linear_model/setup.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model
copying build/lib.linux-armv8l-3.6/sklearn/linear_model/sgd_fast.cpython-36m-arm-linux-gnueabihf.so -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model
copying build/lib.linux-armv8l-3.6/sklearn/linear_model/passive_aggressive.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model
copying build/lib.linux-armv8l-3.6/sklearn/linear_model/coordinate_descent.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model
copying build/lib.linux-armv8l-3.6/sklearn/linear_model/stochastic_gradient.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model
copying build/lib.linux-armv8l-3.6/sklearn/linear_model/__init__.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model
copying build/lib.linux-armv8l-3.6/sklearn/linear_model/huber.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model
copying build/lib.linux-armv8l-3.6/sklearn/linear_model/theil_sen.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model
copying build/lib.linux-armv8l-3.6/sklearn/linear_model/least_angle.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model
creating /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/metrics
creating /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/metrics/tests
copying build/lib.linux-armv8l-3.6/sklearn/metrics/tests/test_common.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/metrics/tests
copying build/lib.linux-armv8l-3.6/sklearn/metrics/tests/test_regression.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/metrics/tests
copying build/lib.linux-armv8l-3.6/sklearn/metrics/tests/test_score_objects.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/metrics/tests
copying build/lib.linux-armv8l-3.6/sklearn/metrics/tests/test_ranking.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/metrics/tests
copying build/lib.linux-armv8l-3.6/sklearn/metrics/tests/test_classification.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/metrics/tests
copying build/lib.linux-armv8l-3.6/sklearn/metrics/tests/__init__.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/metrics/tests
copying build/lib.linux-armv8l-3.6/sklearn/metrics/tests/test_pairwise.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/metrics/tests
copying build/lib.linux-armv8l-3.6/sklearn/metrics/regression.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/metrics
copying build/lib.linux-armv8l-3.6/sklearn/metrics/base.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/metrics
copying build/lib.linux-armv8l-3.6/sklearn/metrics/pairwise.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/metrics
copying build/lib.linux-armv8l-3.6/sklearn/metrics/setup.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/metrics
copying build/lib.linux-armv8l-3.6/sklearn/metrics/ranking.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/metrics
copying build/lib.linux-armv8l-3.6/sklearn/metrics/pairwise_fast.cpython-36m-arm-linux-gnueabihf.so -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/metrics
creating /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/metrics/cluster
creating /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/metrics/cluster/tests
copying build/lib.linux-armv8l-3.6/sklearn/metrics/cluster/tests/test_supervised.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/metrics/cluster/tests
copying build/lib.linux-armv8l-3.6/sklearn/metrics/cluster/tests/__init__.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/metrics/cluster/tests
copying build/lib.linux-armv8l-3.6/sklearn/metrics/cluster/tests/test_unsupervised.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/metrics/cluster/tests
copying build/lib.linux-armv8l-3.6/sklearn/metrics/cluster/tests/test_bicluster.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/metrics/cluster/tests
copying build/lib.linux-armv8l-3.6/sklearn/metrics/cluster/unsupervised.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/metrics/cluster
copying build/lib.linux-armv8l-3.6/sklearn/metrics/cluster/expected_mutual_info_fast.cpython-36m-arm-linux-gnueabihf.so -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/metrics/cluster
copying build/lib.linux-armv8l-3.6/sklearn/metrics/cluster/setup.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/metrics/cluster
copying build/lib.linux-armv8l-3.6/sklearn/metrics/cluster/bicluster.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/metrics/cluster
copying build/lib.linux-armv8l-3.6/sklearn/metrics/cluster/__init__.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/metrics/cluster
copying build/lib.linux-armv8l-3.6/sklearn/metrics/cluster/supervised.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/metrics/cluster
copying build/lib.linux-armv8l-3.6/sklearn/metrics/scorer.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/metrics
copying build/lib.linux-armv8l-3.6/sklearn/metrics/__init__.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/metrics
copying build/lib.linux-armv8l-3.6/sklearn/metrics/classification.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/metrics
creating /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/neighbors
creating /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/neighbors/tests
copying build/lib.linux-armv8l-3.6/sklearn/neighbors/tests/test_kd_tree.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/neighbors/tests
copying build/lib.linux-armv8l-3.6/sklearn/neighbors/tests/test_kde.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/neighbors/tests
copying build/lib.linux-armv8l-3.6/sklearn/neighbors/tests/test_dist_metrics.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/neighbors/tests
copying build/lib.linux-armv8l-3.6/sklearn/neighbors/tests/test_neighbors.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/neighbors/tests
copying build/lib.linux-armv8l-3.6/sklearn/neighbors/tests/test_nearest_centroid.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/neighbors/tests
copying build/lib.linux-armv8l-3.6/sklearn/neighbors/tests/__init__.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/neighbors/tests
copying build/lib.linux-armv8l-3.6/sklearn/neighbors/tests/test_lof.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/neighbors/tests
copying build/lib.linux-armv8l-3.6/sklearn/neighbors/tests/test_quad_tree.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/neighbors/tests
copying build/lib.linux-armv8l-3.6/sklearn/neighbors/tests/test_ball_tree.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/neighbors/tests
copying build/lib.linux-armv8l-3.6/sklearn/neighbors/tests/test_approximate.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/neighbors/tests
copying build/lib.linux-armv8l-3.6/sklearn/neighbors/unsupervised.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/neighbors
copying build/lib.linux-armv8l-3.6/sklearn/neighbors/typedefs.cpython-36m-arm-linux-gnueabihf.so -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/neighbors
copying build/lib.linux-armv8l-3.6/sklearn/neighbors/regression.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/neighbors
copying build/lib.linux-armv8l-3.6/sklearn/neighbors/base.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/neighbors
copying build/lib.linux-armv8l-3.6/sklearn/neighbors/dist_metrics.cpython-36m-arm-linux-gnueabihf.so -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/neighbors
copying build/lib.linux-armv8l-3.6/sklearn/neighbors/graph.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/neighbors
copying build/lib.linux-armv8l-3.6/sklearn/neighbors/kde.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/neighbors
copying build/lib.linux-armv8l-3.6/sklearn/neighbors/setup.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/neighbors
copying build/lib.linux-armv8l-3.6/sklearn/neighbors/nearest_centroid.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/neighbors
copying build/lib.linux-armv8l-3.6/sklearn/neighbors/lof.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/neighbors
copying build/lib.linux-armv8l-3.6/sklearn/neighbors/__init__.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/neighbors
copying build/lib.linux-armv8l-3.6/sklearn/neighbors/kd_tree.cpython-36m-arm-linux-gnueabihf.so -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/neighbors
copying build/lib.linux-armv8l-3.6/sklearn/neighbors/quad_tree.cpython-36m-arm-linux-gnueabihf.so -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/neighbors
copying build/lib.linux-armv8l-3.6/sklearn/neighbors/ball_tree.cpython-36m-arm-linux-gnueabihf.so -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/neighbors
copying build/lib.linux-armv8l-3.6/sklearn/neighbors/approximate.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/neighbors
copying build/lib.linux-armv8l-3.6/sklearn/neighbors/classification.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/neighbors
copying build/lib.linux-armv8l-3.6/sklearn/setup.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn
copying build/lib.linux-armv8l-3.6/sklearn/random_projection.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn
creating /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/manifold
creating /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/manifold/tests
copying build/lib.linux-armv8l-3.6/sklearn/manifold/tests/test_spectral_embedding.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/manifold/tests
copying build/lib.linux-armv8l-3.6/sklearn/manifold/tests/test_mds.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/manifold/tests
copying build/lib.linux-armv8l-3.6/sklearn/manifold/tests/test_isomap.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/manifold/tests
copying build/lib.linux-armv8l-3.6/sklearn/manifold/tests/__init__.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/manifold/tests
copying build/lib.linux-armv8l-3.6/sklearn/manifold/tests/test_locally_linear.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/manifold/tests
copying build/lib.linux-armv8l-3.6/sklearn/manifold/tests/test_t_sne.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/manifold/tests
copying build/lib.linux-armv8l-3.6/sklearn/manifold/spectral_embedding_.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/manifold
copying build/lib.linux-armv8l-3.6/sklearn/manifold/isomap.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/manifold
copying build/lib.linux-armv8l-3.6/sklearn/manifold/_utils.cpython-36m-arm-linux-gnueabihf.so -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/manifold
copying build/lib.linux-armv8l-3.6/sklearn/manifold/locally_linear.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/manifold
copying build/lib.linux-armv8l-3.6/sklearn/manifold/setup.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/manifold
copying build/lib.linux-armv8l-3.6/sklearn/manifold/__init__.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/manifold
copying build/lib.linux-armv8l-3.6/sklearn/manifold/_barnes_hut_tsne.cpython-36m-arm-linux-gnueabihf.so -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/manifold
copying build/lib.linux-armv8l-3.6/sklearn/manifold/mds.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/manifold
copying build/lib.linux-armv8l-3.6/sklearn/manifold/t_sne.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/manifold
creating /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cross_decomposition
creating /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cross_decomposition/tests
copying build/lib.linux-armv8l-3.6/sklearn/cross_decomposition/tests/__init__.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cross_decomposition/tests
copying build/lib.linux-armv8l-3.6/sklearn/cross_decomposition/tests/test_pls.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cross_decomposition/tests
copying build/lib.linux-armv8l-3.6/sklearn/cross_decomposition/pls_.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cross_decomposition
copying build/lib.linux-armv8l-3.6/sklearn/cross_decomposition/__init__.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cross_decomposition
copying build/lib.linux-armv8l-3.6/sklearn/cross_decomposition/cca_.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cross_decomposition
copying build/lib.linux-armv8l-3.6/sklearn/_isotonic.cpython-36m-arm-linux-gnueabihf.so -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn
creating /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster
creating /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/tests
copying build/lib.linux-armv8l-3.6/sklearn/cluster/tests/common.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/tests
copying build/lib.linux-armv8l-3.6/sklearn/cluster/tests/test_spectral.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/tests
copying build/lib.linux-armv8l-3.6/sklearn/cluster/tests/test_dbscan.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/tests
copying build/lib.linux-armv8l-3.6/sklearn/cluster/tests/test_hierarchical.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/tests
copying build/lib.linux-armv8l-3.6/sklearn/cluster/tests/__init__.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/tests
copying build/lib.linux-armv8l-3.6/sklearn/cluster/tests/test_affinity_propagation.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/tests
copying build/lib.linux-armv8l-3.6/sklearn/cluster/tests/test_bicluster.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/tests
copying build/lib.linux-armv8l-3.6/sklearn/cluster/tests/test_k_means.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/tests
copying build/lib.linux-armv8l-3.6/sklearn/cluster/tests/test_birch.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/tests
copying build/lib.linux-armv8l-3.6/sklearn/cluster/tests/test_mean_shift.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/tests
copying build/lib.linux-armv8l-3.6/sklearn/cluster/k_means_.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster
copying build/lib.linux-armv8l-3.6/sklearn/cluster/mean_shift_.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster
copying build/lib.linux-armv8l-3.6/sklearn/cluster/spectral.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster
copying build/lib.linux-armv8l-3.6/sklearn/cluster/dbscan_.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster
copying build/lib.linux-armv8l-3.6/sklearn/cluster/birch.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster
copying build/lib.linux-armv8l-3.6/sklearn/cluster/_k_means.cpython-36m-arm-linux-gnueabihf.so -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster
copying build/lib.linux-armv8l-3.6/sklearn/cluster/_dbscan_inner.cpython-36m-arm-linux-gnueabihf.so -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster
copying build/lib.linux-armv8l-3.6/sklearn/cluster/affinity_propagation_.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster
copying build/lib.linux-armv8l-3.6/sklearn/cluster/setup.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster
copying build/lib.linux-armv8l-3.6/sklearn/cluster/bicluster.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster
copying build/lib.linux-armv8l-3.6/sklearn/cluster/hierarchical.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster
copying build/lib.linux-armv8l-3.6/sklearn/cluster/_hierarchical.cpython-36m-arm-linux-gnueabihf.so -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster
copying build/lib.linux-armv8l-3.6/sklearn/cluster/__init__.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster
copying build/lib.linux-armv8l-3.6/sklearn/cluster/_k_means_elkan.cpython-36m-arm-linux-gnueabihf.so -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster
copying build/lib.linux-armv8l-3.6/sklearn/cluster/_feature_agglomeration.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster
copying build/lib.linux-armv8l-3.6/sklearn/multioutput.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn
copying build/lib.linux-armv8l-3.6/sklearn/kernel_ridge.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn
copying build/lib.linux-armv8l-3.6/sklearn/learning_curve.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn
creating /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/neural_network
creating /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/neural_network/tests
copying build/lib.linux-armv8l-3.6/sklearn/neural_network/tests/test_rbm.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/neural_network/tests
copying build/lib.linux-armv8l-3.6/sklearn/neural_network/tests/__init__.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/neural_network/tests
copying build/lib.linux-armv8l-3.6/sklearn/neural_network/tests/test_stochastic_optimizers.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/neural_network/tests
copying build/lib.linux-armv8l-3.6/sklearn/neural_network/tests/test_mlp.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/neural_network/tests
copying build/lib.linux-armv8l-3.6/sklearn/neural_network/_base.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/neural_network
copying build/lib.linux-armv8l-3.6/sklearn/neural_network/rbm.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/neural_network
copying build/lib.linux-armv8l-3.6/sklearn/neural_network/multilayer_perceptron.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/neural_network
copying build/lib.linux-armv8l-3.6/sklearn/neural_network/__init__.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/neural_network
copying build/lib.linux-armv8l-3.6/sklearn/neural_network/_stochastic_optimizers.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/neural_network
copying build/lib.linux-armv8l-3.6/sklearn/isotonic.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn
creating /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/feature_extraction
creating /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/feature_extraction/tests
copying build/lib.linux-armv8l-3.6/sklearn/feature_extraction/tests/test_feature_hasher.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/feature_extraction/tests
copying build/lib.linux-armv8l-3.6/sklearn/feature_extraction/tests/test_dict_vectorizer.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/feature_extraction/tests
copying build/lib.linux-armv8l-3.6/sklearn/feature_extraction/tests/__init__.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/feature_extraction/tests
copying build/lib.linux-armv8l-3.6/sklearn/feature_extraction/tests/test_text.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/feature_extraction/tests
copying build/lib.linux-armv8l-3.6/sklearn/feature_extraction/tests/test_image.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/feature_extraction/tests
copying build/lib.linux-armv8l-3.6/sklearn/feature_extraction/text.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/feature_extraction
copying build/lib.linux-armv8l-3.6/sklearn/feature_extraction/setup.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/feature_extraction
copying build/lib.linux-armv8l-3.6/sklearn/feature_extraction/dict_vectorizer.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/feature_extraction
copying build/lib.linux-armv8l-3.6/sklearn/feature_extraction/hashing.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/feature_extraction
copying build/lib.linux-armv8l-3.6/sklearn/feature_extraction/__init__.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/feature_extraction
copying build/lib.linux-armv8l-3.6/sklearn/feature_extraction/image.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/feature_extraction
copying build/lib.linux-armv8l-3.6/sklearn/feature_extraction/_hashing.cpython-36m-arm-linux-gnueabihf.so -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/feature_extraction
copying build/lib.linux-armv8l-3.6/sklearn/feature_extraction/stop_words.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/feature_extraction
creating /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tree
creating /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tree/tests
copying build/lib.linux-armv8l-3.6/sklearn/tree/tests/test_tree.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tree/tests
copying build/lib.linux-armv8l-3.6/sklearn/tree/tests/test_export.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tree/tests
copying build/lib.linux-armv8l-3.6/sklearn/tree/tests/__init__.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tree/tests
copying build/lib.linux-armv8l-3.6/sklearn/tree/_utils.cpython-36m-arm-linux-gnueabihf.so -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tree
copying build/lib.linux-armv8l-3.6/sklearn/tree/tree.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tree
copying build/lib.linux-armv8l-3.6/sklearn/tree/setup.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tree
copying build/lib.linux-armv8l-3.6/sklearn/tree/export.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tree
copying build/lib.linux-armv8l-3.6/sklearn/tree/__init__.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tree
copying build/lib.linux-armv8l-3.6/sklearn/tree/_splitter.cpython-36m-arm-linux-gnueabihf.so -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tree
copying build/lib.linux-armv8l-3.6/sklearn/tree/_criterion.cpython-36m-arm-linux-gnueabihf.so -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tree
copying build/lib.linux-armv8l-3.6/sklearn/tree/_tree.cpython-36m-arm-linux-gnueabihf.so -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tree
copying build/lib.linux-armv8l-3.6/sklearn/discriminant_analysis.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn
copying build/lib.linux-armv8l-3.6/sklearn/__init__.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn
creating /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/gaussian_process
creating /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/gaussian_process/tests
copying build/lib.linux-armv8l-3.6/sklearn/gaussian_process/tests/test_gaussian_process.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/gaussian_process/tests
copying build/lib.linux-armv8l-3.6/sklearn/gaussian_process/tests/test_kernels.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/gaussian_process/tests
copying build/lib.linux-armv8l-3.6/sklearn/gaussian_process/tests/test_gpr.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/gaussian_process/tests
copying build/lib.linux-armv8l-3.6/sklearn/gaussian_process/tests/__init__.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/gaussian_process/tests
copying build/lib.linux-armv8l-3.6/sklearn/gaussian_process/tests/test_gpc.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/gaussian_process/tests
copying build/lib.linux-armv8l-3.6/sklearn/gaussian_process/regression_models.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/gaussian_process
copying build/lib.linux-armv8l-3.6/sklearn/gaussian_process/gaussian_process.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/gaussian_process
copying build/lib.linux-armv8l-3.6/sklearn/gaussian_process/gpr.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/gaussian_process
copying build/lib.linux-armv8l-3.6/sklearn/gaussian_process/correlation_models.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/gaussian_process
copying build/lib.linux-armv8l-3.6/sklearn/gaussian_process/__init__.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/gaussian_process
copying build/lib.linux-armv8l-3.6/sklearn/gaussian_process/kernels.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/gaussian_process
copying build/lib.linux-armv8l-3.6/sklearn/gaussian_process/gpc.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/gaussian_process
copying build/lib.linux-armv8l-3.6/sklearn/pipeline.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn
creating /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/mixture
creating /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/mixture/tests
copying build/lib.linux-armv8l-3.6/sklearn/mixture/tests/test_bayesian_mixture.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/mixture/tests
copying build/lib.linux-armv8l-3.6/sklearn/mixture/tests/test_dpgmm.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/mixture/tests
copying build/lib.linux-armv8l-3.6/sklearn/mixture/tests/test_gaussian_mixture.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/mixture/tests
copying build/lib.linux-armv8l-3.6/sklearn/mixture/tests/__init__.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/mixture/tests
copying build/lib.linux-armv8l-3.6/sklearn/mixture/tests/test_gmm.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/mixture/tests
copying build/lib.linux-armv8l-3.6/sklearn/mixture/dpgmm.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/mixture
copying build/lib.linux-armv8l-3.6/sklearn/mixture/base.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/mixture
copying build/lib.linux-armv8l-3.6/sklearn/mixture/gaussian_mixture.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/mixture
copying build/lib.linux-armv8l-3.6/sklearn/mixture/__init__.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/mixture
copying build/lib.linux-armv8l-3.6/sklearn/mixture/gmm.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/mixture
copying build/lib.linux-armv8l-3.6/sklearn/mixture/bayesian_mixture.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/mixture
copying build/lib.linux-armv8l-3.6/sklearn/dummy.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn
creating /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/preprocessing
creating /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/preprocessing/tests
copying build/lib.linux-armv8l-3.6/sklearn/preprocessing/tests/test_imputation.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/preprocessing/tests
copying build/lib.linux-armv8l-3.6/sklearn/preprocessing/tests/test_data.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/preprocessing/tests
copying build/lib.linux-armv8l-3.6/sklearn/preprocessing/tests/test_function_transformer.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/preprocessing/tests
copying build/lib.linux-armv8l-3.6/sklearn/preprocessing/tests/__init__.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/preprocessing/tests
copying build/lib.linux-armv8l-3.6/sklearn/preprocessing/tests/test_label.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/preprocessing/tests
copying build/lib.linux-armv8l-3.6/sklearn/preprocessing/imputation.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/preprocessing
copying build/lib.linux-armv8l-3.6/sklearn/preprocessing/__init__.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/preprocessing
copying build/lib.linux-armv8l-3.6/sklearn/preprocessing/label.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/preprocessing
copying build/lib.linux-armv8l-3.6/sklearn/preprocessing/data.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/preprocessing
copying build/lib.linux-armv8l-3.6/sklearn/preprocessing/_function_transformer.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/preprocessing
copying build/lib.linux-armv8l-3.6/sklearn/kernel_approximation.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn
copying build/lib.linux-armv8l-3.6/sklearn/exceptions.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn
creating /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/covariance
creating /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/covariance/tests
copying build/lib.linux-armv8l-3.6/sklearn/covariance/tests/test_graph_lasso.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/covariance/tests
copying build/lib.linux-armv8l-3.6/sklearn/covariance/tests/test_covariance.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/covariance/tests
copying build/lib.linux-armv8l-3.6/sklearn/covariance/tests/__init__.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/covariance/tests
copying build/lib.linux-armv8l-3.6/sklearn/covariance/tests/test_robust_covariance.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/covariance/tests
copying build/lib.linux-armv8l-3.6/sklearn/covariance/outlier_detection.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/covariance
copying build/lib.linux-armv8l-3.6/sklearn/covariance/robust_covariance.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/covariance
copying build/lib.linux-armv8l-3.6/sklearn/covariance/shrunk_covariance_.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/covariance
copying build/lib.linux-armv8l-3.6/sklearn/covariance/empirical_covariance_.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/covariance
copying build/lib.linux-armv8l-3.6/sklearn/covariance/graph_lasso_.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/covariance
copying build/lib.linux-armv8l-3.6/sklearn/covariance/__init__.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/covariance
copying build/lib.linux-armv8l-3.6/sklearn/grid_search.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn
creating /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/ensemble
creating /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/ensemble/tests
copying build/lib.linux-armv8l-3.6/sklearn/ensemble/tests/test_iforest.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/ensemble/tests
copying build/lib.linux-armv8l-3.6/sklearn/ensemble/tests/test_partial_dependence.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/ensemble/tests
copying build/lib.linux-armv8l-3.6/sklearn/ensemble/tests/test_forest.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/ensemble/tests
copying build/lib.linux-armv8l-3.6/sklearn/ensemble/tests/test_weight_boosting.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/ensemble/tests
copying build/lib.linux-armv8l-3.6/sklearn/ensemble/tests/test_gradient_boosting.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/ensemble/tests
copying build/lib.linux-armv8l-3.6/sklearn/ensemble/tests/__init__.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/ensemble/tests
copying build/lib.linux-armv8l-3.6/sklearn/ensemble/tests/test_base.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/ensemble/tests
copying build/lib.linux-armv8l-3.6/sklearn/ensemble/tests/test_gradient_boosting_loss_functions.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/ensemble/tests
copying build/lib.linux-armv8l-3.6/sklearn/ensemble/tests/test_voting_classifier.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/ensemble/tests
copying build/lib.linux-armv8l-3.6/sklearn/ensemble/tests/test_bagging.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/ensemble/tests
copying build/lib.linux-armv8l-3.6/sklearn/ensemble/voting_classifier.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/ensemble
copying build/lib.linux-armv8l-3.6/sklearn/ensemble/base.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/ensemble
copying build/lib.linux-armv8l-3.6/sklearn/ensemble/weight_boosting.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/ensemble
copying build/lib.linux-armv8l-3.6/sklearn/ensemble/partial_dependence.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/ensemble
copying build/lib.linux-armv8l-3.6/sklearn/ensemble/bagging.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/ensemble
copying build/lib.linux-armv8l-3.6/sklearn/ensemble/gradient_boosting.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/ensemble
copying build/lib.linux-armv8l-3.6/sklearn/ensemble/setup.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/ensemble
copying build/lib.linux-armv8l-3.6/sklearn/ensemble/_gradient_boosting.cpython-36m-arm-linux-gnueabihf.so -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/ensemble
copying build/lib.linux-armv8l-3.6/sklearn/ensemble/forest.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/ensemble
copying build/lib.linux-armv8l-3.6/sklearn/ensemble/__init__.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/ensemble
copying build/lib.linux-armv8l-3.6/sklearn/ensemble/iforest.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/ensemble
copying build/lib.linux-armv8l-3.6/sklearn/calibration.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_naive_bayes.py to test_naive_bayes.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_grid_search.py to test_grid_search.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_discriminant_analysis.py to test_discriminant_analysis.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py to test_common.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_init.py to test_init.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_isotonic.py to test_isotonic.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_multioutput.py to test_multioutput.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_kernel_ridge.py to test_kernel_ridge.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_config.py to test_config.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_docstring_parameters.py to test_docstring_parameters.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_multiclass.py to test_multiclass.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_dummy.py to test_dummy.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_calibration.py to test_calibration.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_random_projection.py to test_random_projection.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/__init__.py to __init__.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_base.py to test_base.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_cross_validation.py to test_cross_validation.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_kernel_approximation.py to test_kernel_approximation.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_metaestimators.py to test_metaestimators.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_pipeline.py to test_pipeline.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_check_build.py to test_check_build.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_learning_curve.py to test_learning_curve.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/externals/funcsigs.py to funcsigs.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/externals/test_externals_setup.py to test_externals_setup.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/externals/setup.py to setup.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/externals/__init__.py to __init__.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/externals/six.py to six.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/externals/joblib/__init__.py to __init__.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/multiclass.py to multiclass.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/tests/test_testing.py to test_testing.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/tests/test_optimize.py to test_optimize.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/tests/test_random.py to test_random.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/tests/test_class_weight.py to test_class_weight.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/tests/test_estimator_checks.py to test_estimator_checks.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/tests/test_multiclass.py to test_multiclass.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/tests/test_murmurhash.py to test_murmurhash.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/tests/test_fixes.py to test_fixes.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/tests/test_graph.py to test_graph.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/tests/test_utils.py to test_utils.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/tests/test_deprecation.py to test_deprecation.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/tests/test_stats.py to test_stats.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/tests/__init__.py to __init__.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/tests/test_seq_dataset.py to test_seq_dataset.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/tests/test_metaestimators.py to test_metaestimators.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/tests/test_bench.py to test_bench.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/tests/test_extmath.py to test_extmath.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/tests/test_sparsefuncs.py to test_sparsefuncs.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/tests/test_fast_dict.py to test_fast_dict.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/tests/test_shortest_path.py to test_shortest_path.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/tests/test_validation.py to test_validation.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/tests/test_linear_assignment.py to test_linear_assignment.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/random.py to random.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/multiclass.py to multiclass.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/testing.py to testing.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/class_weight.py to class_weight.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/_scipy_sparse_lsqr_backport.py to _scipy_sparse_lsqr_backport.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/estimator_checks.py to estimator_checks.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/graph.py to graph.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/deprecation.py to deprecation.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/extmath.py to extmath.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/setup.py to setup.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/validation.py to validation.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/fixes.py to fixes.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/arpack.py to arpack.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/__init__.py to __init__.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/bench.py to bench.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/linear_assignment_.py to linear_assignment_.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/stats.py to stats.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/metaestimators.py to metaestimators.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/sparsetools/tests/__init__.py to __init__.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/sparsetools/setup.py to setup.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/sparsetools/__init__.py to __init__.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/sparsefuncs.py to sparsefuncs.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/mocking.py to mocking.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/optimize.py to optimize.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/datasets/california_housing.py to california_housing.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/datasets/tests/test_20news.py to test_20news.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/datasets/tests/test_rcv1.py to test_rcv1.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/datasets/tests/__init__.py to __init__.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/datasets/tests/test_base.py to test_base.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/datasets/tests/test_svmlight_format.py to test_svmlight_format.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/datasets/tests/test_covtype.py to test_covtype.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/datasets/tests/test_lfw.py to test_lfw.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/datasets/tests/test_mldata.py to test_mldata.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/datasets/tests/test_kddcup99.py to test_kddcup99.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/datasets/tests/test_samples_generator.py to test_samples_generator.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/datasets/samples_generator.py to samples_generator.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/datasets/kddcup99.py to kddcup99.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/datasets/base.py to base.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/datasets/species_distributions.py to species_distributions.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/datasets/svmlight_format.py to svmlight_format.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/datasets/rcv1.py to rcv1.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/datasets/mlcomp.py to mlcomp.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/datasets/twenty_newsgroups.py to twenty_newsgroups.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/datasets/setup.py to setup.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/datasets/covtype.py to covtype.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/datasets/mldata.py to mldata.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/datasets/__init__.py to __init__.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/datasets/lfw.py to lfw.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/datasets/olivetti_faces.py to olivetti_faces.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/__check_build/setup.py to setup.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/__check_build/__init__.py to __init__.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/base.py to base.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/svm/tests/test_svm.py to test_svm.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/svm/tests/test_bounds.py to test_bounds.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/svm/tests/__init__.py to __init__.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/svm/tests/test_sparse.py to test_sparse.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/svm/base.py to base.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/svm/classes.py to classes.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/svm/setup.py to setup.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/svm/__init__.py to __init__.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/svm/bounds.py to bounds.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/semi_supervised/tests/test_label_propagation.py to test_label_propagation.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/semi_supervised/tests/__init__.py to __init__.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/semi_supervised/label_propagation.py to label_propagation.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/semi_supervised/__init__.py to __init__.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/decomposition/tests/test_pca.py to test_pca.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/decomposition/tests/test_kernel_pca.py to test_kernel_pca.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/decomposition/tests/test_dict_learning.py to test_dict_learning.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/decomposition/tests/test_incremental_pca.py to test_incremental_pca.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/decomposition/tests/test_online_lda.py to test_online_lda.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/decomposition/tests/test_factor_analysis.py to test_factor_analysis.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/decomposition/tests/test_sparse_pca.py to test_sparse_pca.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/decomposition/tests/__init__.py to __init__.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/decomposition/tests/test_truncated_svd.py to test_truncated_svd.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/decomposition/tests/test_fastica.py to test_fastica.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/decomposition/tests/test_nmf.py to test_nmf.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/decomposition/base.py to base.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/decomposition/pca.py to pca.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/decomposition/truncated_svd.py to truncated_svd.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/decomposition/fastica_.py to fastica_.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/decomposition/setup.py to setup.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/decomposition/online_lda.py to online_lda.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/decomposition/dict_learning.py to dict_learning.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/decomposition/factor_analysis.py to factor_analysis.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/decomposition/kernel_pca.py to kernel_pca.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/decomposition/nmf.py to nmf.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/decomposition/__init__.py to __init__.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/decomposition/incremental_pca.py to incremental_pca.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/decomposition/sparse_pca.py to sparse_pca.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/feature_selection/tests/test_variance_threshold.py to test_variance_threshold.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/feature_selection/tests/test_feature_select.py to test_feature_select.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/feature_selection/tests/test_from_model.py to test_from_model.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/feature_selection/tests/test_mutual_info.py to test_mutual_info.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/feature_selection/tests/test_chi2.py to test_chi2.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/feature_selection/tests/__init__.py to __init__.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/feature_selection/tests/test_base.py to test_base.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/feature_selection/tests/test_rfe.py to test_rfe.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/feature_selection/rfe.py to rfe.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/feature_selection/base.py to base.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/feature_selection/univariate_selection.py to univariate_selection.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/feature_selection/__init__.py to __init__.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/feature_selection/from_model.py to from_model.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/feature_selection/variance_threshold.py to variance_threshold.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/feature_selection/mutual_info_.py to mutual_info_.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cross_validation.py to cross_validation.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/_build_utils/__init__.py to __init__.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/naive_bayes.py to naive_bayes.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/model_selection/tests/common.py to common.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/model_selection/tests/test_search.py to test_search.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/model_selection/tests/test_split.py to test_split.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/model_selection/tests/__init__.py to __init__.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/model_selection/tests/test_validation.py to test_validation.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/model_selection/_search.py to _search.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/model_selection/_validation.py to _validation.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/model_selection/__init__.py to __init__.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/model_selection/_split.py to _split.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/tests/test_randomized_l1.py to test_randomized_l1.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/tests/test_sparse_coordinate_descent.py to test_sparse_coordinate_descent.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/tests/test_huber.py to test_huber.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/tests/test_passive_aggressive.py to test_passive_aggressive.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/tests/test_ransac.py to test_ransac.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/tests/test_bayes.py to test_bayes.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/tests/test_theil_sen.py to test_theil_sen.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/tests/test_logistic.py to test_logistic.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/tests/test_perceptron.py to test_perceptron.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/tests/test_omp.py to test_omp.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/tests/__init__.py to __init__.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/tests/test_base.py to test_base.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/tests/test_sag.py to test_sag.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/tests/test_sgd.py to test_sgd.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/tests/test_ridge.py to test_ridge.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/tests/test_least_angle.py to test_least_angle.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/tests/test_coordinate_descent.py to test_coordinate_descent.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/logistic.py to logistic.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/bayes.py to bayes.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/omp.py to omp.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/sag.py to sag.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/perceptron.py to perceptron.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/base.py to base.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/randomized_l1.py to randomized_l1.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/ridge.py to ridge.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/ransac.py to ransac.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/setup.py to setup.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/passive_aggressive.py to passive_aggressive.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/coordinate_descent.py to coordinate_descent.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/stochastic_gradient.py to stochastic_gradient.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/__init__.py to __init__.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/huber.py to huber.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/theil_sen.py to theil_sen.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/least_angle.py to least_angle.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/metrics/tests/test_common.py to test_common.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/metrics/tests/test_regression.py to test_regression.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/metrics/tests/test_score_objects.py to test_score_objects.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/metrics/tests/test_ranking.py to test_ranking.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/metrics/tests/test_classification.py to test_classification.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/metrics/tests/__init__.py to __init__.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/metrics/tests/test_pairwise.py to test_pairwise.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/metrics/regression.py to regression.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/metrics/base.py to base.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/metrics/pairwise.py to pairwise.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/metrics/setup.py to setup.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/metrics/ranking.py to ranking.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/metrics/cluster/tests/test_supervised.py to test_supervised.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/metrics/cluster/tests/__init__.py to __init__.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/metrics/cluster/tests/test_unsupervised.py to test_unsupervised.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/metrics/cluster/tests/test_bicluster.py to test_bicluster.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/metrics/cluster/unsupervised.py to unsupervised.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/metrics/cluster/setup.py to setup.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/metrics/cluster/bicluster.py to bicluster.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/metrics/cluster/__init__.py to __init__.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/metrics/cluster/supervised.py to supervised.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/metrics/scorer.py to scorer.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/metrics/__init__.py to __init__.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/metrics/classification.py to classification.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/neighbors/tests/test_kd_tree.py to test_kd_tree.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/neighbors/tests/test_kde.py to test_kde.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/neighbors/tests/test_dist_metrics.py to test_dist_metrics.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/neighbors/tests/test_neighbors.py to test_neighbors.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/neighbors/tests/test_nearest_centroid.py to test_nearest_centroid.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/neighbors/tests/__init__.py to __init__.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/neighbors/tests/test_lof.py to test_lof.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/neighbors/tests/test_quad_tree.py to test_quad_tree.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/neighbors/tests/test_ball_tree.py to test_ball_tree.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/neighbors/tests/test_approximate.py to test_approximate.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/neighbors/unsupervised.py to unsupervised.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/neighbors/regression.py to regression.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/neighbors/base.py to base.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/neighbors/graph.py to graph.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/neighbors/kde.py to kde.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/neighbors/setup.py to setup.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/neighbors/nearest_centroid.py to nearest_centroid.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/neighbors/lof.py to lof.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/neighbors/__init__.py to __init__.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/neighbors/approximate.py to approximate.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/neighbors/classification.py to classification.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/setup.py to setup.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/random_projection.py to random_projection.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/manifold/tests/test_spectral_embedding.py to test_spectral_embedding.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/manifold/tests/test_mds.py to test_mds.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/manifold/tests/test_isomap.py to test_isomap.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/manifold/tests/__init__.py to __init__.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/manifold/tests/test_locally_linear.py to test_locally_linear.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/manifold/tests/test_t_sne.py to test_t_sne.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/manifold/spectral_embedding_.py to spectral_embedding_.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/manifold/isomap.py to isomap.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/manifold/locally_linear.py to locally_linear.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/manifold/setup.py to setup.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/manifold/__init__.py to __init__.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/manifold/mds.py to mds.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/manifold/t_sne.py to t_sne.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cross_decomposition/tests/__init__.py to __init__.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cross_decomposition/tests/test_pls.py to test_pls.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cross_decomposition/pls_.py to pls_.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cross_decomposition/__init__.py to __init__.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cross_decomposition/cca_.py to cca_.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/tests/common.py to common.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/tests/test_spectral.py to test_spectral.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/tests/test_dbscan.py to test_dbscan.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/tests/test_hierarchical.py to test_hierarchical.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/tests/__init__.py to __init__.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/tests/test_affinity_propagation.py to test_affinity_propagation.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/tests/test_bicluster.py to test_bicluster.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/tests/test_k_means.py to test_k_means.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/tests/test_birch.py to test_birch.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/tests/test_mean_shift.py to test_mean_shift.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py to k_means_.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/mean_shift_.py to mean_shift_.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/spectral.py to spectral.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/dbscan_.py to dbscan_.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/birch.py to birch.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/affinity_propagation_.py to affinity_propagation_.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/setup.py to setup.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/bicluster.py to bicluster.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/hierarchical.py to hierarchical.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/__init__.py to __init__.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/_feature_agglomeration.py to _feature_agglomeration.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/multioutput.py to multioutput.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/kernel_ridge.py to kernel_ridge.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/learning_curve.py to learning_curve.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/neural_network/tests/test_rbm.py to test_rbm.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/neural_network/tests/__init__.py to __init__.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/neural_network/tests/test_stochastic_optimizers.py to test_stochastic_optimizers.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/neural_network/tests/test_mlp.py to test_mlp.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/neural_network/_base.py to _base.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/neural_network/rbm.py to rbm.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/neural_network/multilayer_perceptron.py to multilayer_perceptron.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/neural_network/__init__.py to __init__.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/neural_network/_stochastic_optimizers.py to _stochastic_optimizers.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/isotonic.py to isotonic.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/feature_extraction/tests/test_feature_hasher.py to test_feature_hasher.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/feature_extraction/tests/test_dict_vectorizer.py to test_dict_vectorizer.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/feature_extraction/tests/__init__.py to __init__.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/feature_extraction/tests/test_text.py to test_text.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/feature_extraction/tests/test_image.py to test_image.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/feature_extraction/text.py to text.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/feature_extraction/setup.py to setup.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/feature_extraction/dict_vectorizer.py to dict_vectorizer.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/feature_extraction/hashing.py to hashing.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/feature_extraction/__init__.py to __init__.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/feature_extraction/image.py to image.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/feature_extraction/stop_words.py to stop_words.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tree/tests/test_tree.py to test_tree.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tree/tests/test_export.py to test_export.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tree/tests/__init__.py to __init__.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tree/tree.py to tree.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tree/setup.py to setup.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tree/export.py to export.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tree/__init__.py to __init__.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/discriminant_analysis.py to discriminant_analysis.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/__init__.py to __init__.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/gaussian_process/tests/test_gaussian_process.py to test_gaussian_process.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/gaussian_process/tests/test_kernels.py to test_kernels.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/gaussian_process/tests/test_gpr.py to test_gpr.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/gaussian_process/tests/__init__.py to __init__.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/gaussian_process/tests/test_gpc.py to test_gpc.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/gaussian_process/regression_models.py to regression_models.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/gaussian_process/gaussian_process.py to gaussian_process.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/gaussian_process/gpr.py to gpr.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/gaussian_process/correlation_models.py to correlation_models.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/gaussian_process/__init__.py to __init__.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/gaussian_process/kernels.py to kernels.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/gaussian_process/gpc.py to gpc.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/pipeline.py to pipeline.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/mixture/tests/test_bayesian_mixture.py to test_bayesian_mixture.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/mixture/tests/test_dpgmm.py to test_dpgmm.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/mixture/tests/test_gaussian_mixture.py to test_gaussian_mixture.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/mixture/tests/__init__.py to __init__.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/mixture/tests/test_gmm.py to test_gmm.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/mixture/dpgmm.py to dpgmm.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/mixture/base.py to base.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/mixture/gaussian_mixture.py to gaussian_mixture.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/mixture/__init__.py to __init__.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/mixture/gmm.py to gmm.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/mixture/bayesian_mixture.py to bayesian_mixture.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/dummy.py to dummy.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/preprocessing/tests/test_imputation.py to test_imputation.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/preprocessing/tests/test_data.py to test_data.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/preprocessing/tests/test_function_transformer.py to test_function_transformer.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/preprocessing/tests/__init__.py to __init__.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/preprocessing/tests/test_label.py to test_label.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/preprocessing/imputation.py to imputation.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/preprocessing/__init__.py to __init__.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/preprocessing/label.py to label.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/preprocessing/data.py to data.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/preprocessing/_function_transformer.py to _function_transformer.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/kernel_approximation.py to kernel_approximation.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/exceptions.py to exceptions.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/covariance/tests/test_graph_lasso.py to test_graph_lasso.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/covariance/tests/test_covariance.py to test_covariance.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/covariance/tests/__init__.py to __init__.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/covariance/tests/test_robust_covariance.py to test_robust_covariance.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/covariance/outlier_detection.py to outlier_detection.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/covariance/robust_covariance.py to robust_covariance.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/covariance/shrunk_covariance_.py to shrunk_covariance_.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/covariance/empirical_covariance_.py to empirical_covariance_.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/covariance/graph_lasso_.py to graph_lasso_.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/covariance/__init__.py to __init__.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/grid_search.py to grid_search.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/ensemble/tests/test_iforest.py to test_iforest.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/ensemble/tests/test_partial_dependence.py to test_partial_dependence.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/ensemble/tests/test_forest.py to test_forest.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/ensemble/tests/test_weight_boosting.py to test_weight_boosting.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/ensemble/tests/test_gradient_boosting.py to test_gradient_boosting.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/ensemble/tests/__init__.py to __init__.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/ensemble/tests/test_base.py to test_base.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/ensemble/tests/test_gradient_boosting_loss_functions.py to test_gradient_boosting_loss_functions.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/ensemble/tests/test_voting_classifier.py to test_voting_classifier.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/ensemble/tests/test_bagging.py to test_bagging.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/ensemble/voting_classifier.py to voting_classifier.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/ensemble/base.py to base.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/ensemble/weight_boosting.py to weight_boosting.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/ensemble/partial_dependence.py to partial_dependence.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/ensemble/bagging.py to bagging.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/ensemble/gradient_boosting.py to gradient_boosting.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/ensemble/setup.py to setup.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/ensemble/forest.py to forest.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/ensemble/__init__.py to __init__.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/ensemble/iforest.py to iforest.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/calibration.py to calibration.cpython-36.pyc
running install_data
creating /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/datasets/data
copying sklearn/datasets/data/linnerud_physiological.csv -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/datasets/data/
copying sklearn/datasets/data/diabetes_data.csv.gz -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/datasets/data/
copying sklearn/datasets/data/iris.csv -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/datasets/data/
copying sklearn/datasets/data/linnerud_exercise.csv -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/datasets/data/
copying sklearn/datasets/data/boston_house_prices.csv -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/datasets/data/
copying sklearn/datasets/data/wine_data.csv -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/datasets/data/
copying sklearn/datasets/data/diabetes_target.csv.gz -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/datasets/data/
copying sklearn/datasets/data/breast_cancer.csv -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/datasets/data/
copying sklearn/datasets/data/digits.csv.gz -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/datasets/data/
creating /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/datasets/descr
copying sklearn/datasets/descr/wine_data.rst -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/datasets/descr/
copying sklearn/datasets/descr/diabetes.rst -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/datasets/descr/
copying sklearn/datasets/descr/boston_house_prices.rst -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/datasets/descr/
copying sklearn/datasets/descr/iris.rst -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/datasets/descr/
copying sklearn/datasets/descr/linnerud.rst -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/datasets/descr/
copying sklearn/datasets/descr/digits.rst -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/datasets/descr/
copying sklearn/datasets/descr/breast_cancer.rst -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/datasets/descr/
creating /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/datasets/images
copying sklearn/datasets/images/china.jpg -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/datasets/images/
copying sklearn/datasets/images/flower.jpg -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/datasets/images/
copying sklearn/datasets/images/README.txt -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/datasets/images/
creating /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/datasets/tests/data
copying sklearn/datasets/tests/data/svmlight_classification.txt -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/datasets/tests/data/
copying sklearn/datasets/tests/data/svmlight_invalid.txt -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/datasets/tests/data/
copying sklearn/datasets/tests/data/svmlight_invalid_order.txt -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/datasets/tests/data/
copying sklearn/datasets/tests/data/svmlight_multilabel.txt -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/datasets/tests/data/
running install_egg_info
Writing /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/scikit_learn-0.19.2.egg-info
running install_clib
Partial import of sklearn during the build process.
/usr/lib/python3/dist-packages/numpy/distutils/system_info.py:624: UserWarning:
Atlas (http://math-atlas.sourceforge.net/) libraries not found.
Directories to search for the libraries can be specified in the
numpy/distutils/site.cfg file (section [atlas]) or by setting
the ATLAS environment variable.
self.calc_info()
/usr/lib/python3/dist-packages/numpy/distutils/system_info.py:624: UserWarning:
Blas (http://www.netlib.org/blas/) libraries not found.
Directories to search for the libraries can be specified in the
numpy/distutils/site.cfg file (section [blas]) or by setting
the BLAS environment variable.
self.calc_info()
/usr/lib/python3/dist-packages/numpy/distutils/system_info.py:624: UserWarning:
Blas (http://www.netlib.org/blas/) sources not found.
Directories to search for the sources can be specified in the
numpy/distutils/site.cfg file (section [blas_src]) or by setting
the BLAS_SRC environment variable.
self.calc_info()
sklearn/setup.py:71: UserWarning:
Blas (http://www.netlib.org/blas/) libraries not found.
Directories to search for the libraries can be specified in the
numpy/distutils/site.cfg file (section [blas]) or by setting
the BLAS environment variable.
warnings.warn(BlasNotFoundError.__doc__)
: # Run unittests here against installed scikits.learn
dpkg: error: --compare-versions takes three arguments: <version> <relation> <version>
Type dpkg --help for help about installing and deinstalling packages [*];
Use 'apt' or 'aptitude' for user-friendly package management;
Type dpkg -Dhelp for a list of dpkg debug flag values;
Type dpkg --force-help for a list of forcing options;
Type dpkg-deb --help for help about manipulating *.deb files;
Options marked [*] produce a lot of output - pipe it through 'less' or 'more' !
echo "2.7" | grep -q '^3' && PY=3 || PY=2.7; \
export PYTHONPATH=`/bin/ls -d $PWD/debian/tmp/usr/lib/python$PY/*/`; \
export MPLCONFIGDIR=/<<PKGBUILDDIR>>/build HOME=/<<PKGBUILDDIR>>/build; \
export JOBLIB_MULTIPROCESSING=2; \
cd build/; python2.7 /usr/bin/nosetests -s -v sklearn && \
{ python2.7 /usr/bin/nosetests -v --with-doctest --doctest-extension=rst ../doc/ || : ; } # doctests are failing ATM
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/learning_curve.py:22: DeprecationWarning: This module was deprecated in version 0.18 in favor of the model_selection module into which all the functions are moved. This module will be removed in 0.20
DeprecationWarning)
sklearn.cluster.tests.test_affinity_propagation.test_affinity_propagation ... ok
sklearn.cluster.tests.test_affinity_propagation.test_affinity_propagation_predict ... ok
sklearn.cluster.tests.test_affinity_propagation.test_affinity_propagation_predict_error ... ok
sklearn.cluster.tests.test_bicluster.test_get_submatrix ... ok
sklearn.cluster.tests.test_bicluster.test_spectral_coclustering ... ok
sklearn.cluster.tests.test_bicluster.test_spectral_biclustering ... ok
sklearn.cluster.tests.test_bicluster.test_scale_normalize ... ok
sklearn.cluster.tests.test_bicluster.test_bistochastic_normalize ... ok
sklearn.cluster.tests.test_bicluster.test_log_normalize ... ok
sklearn.cluster.tests.test_bicluster.test_fit_best_piecewise ... ok
sklearn.cluster.tests.test_bicluster.test_project_and_cluster ... ok
sklearn.cluster.tests.test_bicluster.test_perfect_checkerboard ... SKIP: This test is failing on the buildbot, but cannot reproduce. Temporarily disabling it until it can be reproduced and fixed.
sklearn.cluster.tests.test_bicluster.test_errors ... ok
sklearn.cluster.tests.test_birch.test_n_samples_leaves_roots ... ok
sklearn.cluster.tests.test_birch.test_partial_fit ... ok
sklearn.cluster.tests.test_birch.test_birch_predict ... ok
sklearn.cluster.tests.test_birch.test_n_clusters ... ok
sklearn.cluster.tests.test_birch.test_sparse_X ... ok
sklearn.cluster.tests.test_birch.test_branching_factor ... ok
sklearn.cluster.tests.test_birch.test_threshold ... ok
sklearn.cluster.tests.test_dbscan.test_dbscan_similarity ... ok
sklearn.cluster.tests.test_dbscan.test_dbscan_feature ... ok
sklearn.cluster.tests.test_dbscan.test_dbscan_sparse ... ok
sklearn.cluster.tests.test_dbscan.test_dbscan_sparse_precomputed ... ok
sklearn.cluster.tests.test_dbscan.test_dbscan_no_core_samples ... ok
sklearn.cluster.tests.test_dbscan.test_dbscan_callable ... ok
sklearn.cluster.tests.test_dbscan.test_dbscan_metric_params ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/dbscan_.py:141: SyntaxWarning: Parameter p is found in metric_params. The corresponding parameter from __init__ is ignored.
n_jobs=n_jobs)
ok
sklearn.cluster.tests.test_dbscan.test_dbscan_balltree ... ok
sklearn.cluster.tests.test_dbscan.test_input_validation ... ok
sklearn.cluster.tests.test_dbscan.test_dbscan_badargs ... ok
sklearn.cluster.tests.test_dbscan.test_pickle ... ok
sklearn.cluster.tests.test_dbscan.test_boundaries ... ok
sklearn.cluster.tests.test_dbscan.test_weighted_dbscan ... ok
sklearn.cluster.tests.test_dbscan.test_dbscan_core_samples_toy ... ok
sklearn.cluster.tests.test_dbscan.test_dbscan_precomputed_metric_with_degenerate_input_arrays ... ok
sklearn.cluster.tests.test_dbscan.test_dbscan_precomputed_metric_with_initial_rows_zero ... ok
sklearn.cluster.tests.test_hierarchical.test_deprecation_of_n_components_in_linkage_tree ... ok
sklearn.cluster.tests.test_hierarchical.test_linkage_misc ... ok
sklearn.cluster.tests.test_hierarchical.test_structured_linkage_tree ... ok
sklearn.cluster.tests.test_hierarchical.test_unstructured_linkage_tree ... ok
sklearn.cluster.tests.test_hierarchical.test_height_linkage_tree ... ok
sklearn.cluster.tests.test_hierarchical.test_agglomerative_clustering_wrong_arg_memory ... ok
sklearn.cluster.tests.test_hierarchical.test_agglomerative_clustering ... ok
sklearn.cluster.tests.test_hierarchical.test_ward_agglomeration ... ok
sklearn.cluster.tests.test_hierarchical.test_scikit_vs_scipy ... ok
sklearn.cluster.tests.test_hierarchical.test_connectivity_propagation ... ok
sklearn.cluster.tests.test_hierarchical.test_ward_tree_children_order ... ok
sklearn.cluster.tests.test_hierarchical.test_ward_linkage_tree_return_distance ... ok
sklearn.cluster.tests.test_hierarchical.test_connectivity_fixing_non_lil ... ok
sklearn.cluster.tests.test_hierarchical.test_int_float_dict ... ok
sklearn.cluster.tests.test_hierarchical.test_connectivity_callable ... ok
sklearn.cluster.tests.test_hierarchical.test_connectivity_ignores_diagonal ... ok
sklearn.cluster.tests.test_hierarchical.test_compute_full_tree ... ok
sklearn.cluster.tests.test_hierarchical.test_n_components ... ok
sklearn.cluster.tests.test_hierarchical.test_agg_n_clusters ... ok
sklearn.cluster.tests.test_hierarchical.test_affinity_passed_to_fix_connectivity ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/hierarchical.py:426: UserWarning: the number of connected components of the connectivity matrix is 2 > 1. Completing it to avoid stopping the tree early.
affinity=affinity)
ok
sklearn.cluster.tests.test_k_means.test_elkan_results ... ok
sklearn.cluster.tests.test_k_means.test_labels_assignment_and_inertia ... ok
sklearn.cluster.tests.test_k_means.test_minibatch_update_consistency ... ok
sklearn.cluster.tests.test_k_means.test_k_means_plus_plus_init ... ok
sklearn.cluster.tests.test_k_means.test_k_means_new_centers ... ok
sklearn.cluster.tests.test_k_means.test_k_means_precompute_distances_flag ... ok
sklearn.cluster.tests.test_k_means.test_k_means_plus_plus_init_sparse ... ok
sklearn.cluster.tests.test_k_means.test_k_means_random_init ... ok
sklearn.cluster.tests.test_k_means.test_k_means_random_init_sparse ... ok
sklearn.cluster.tests.test_k_means.test_k_means_plus_plus_init_not_precomputed ... ok
sklearn.cluster.tests.test_k_means.test_k_means_random_init_not_precomputed ... ok
sklearn.cluster.tests.test_k_means.test_k_means_perfect_init ... ok
sklearn.cluster.tests.test_k_means.test_k_means_n_init ... ok
sklearn.cluster.tests.test_k_means.test_k_means_explicit_init_shape ... ok
sklearn.cluster.tests.test_k_means.test_k_means_fortran_aligned_data ... ok
sklearn.cluster.tests.test_k_means.test_mb_k_means_plus_plus_init_dense_array ... ok
sklearn.cluster.tests.test_k_means.test_mb_kmeans_verbose ... ok
sklearn.cluster.tests.test_k_means.test_mb_k_means_plus_plus_init_sparse_matrix ... ok
sklearn.cluster.tests.test_k_means.test_minibatch_init_with_large_k ... ok
sklearn.cluster.tests.test_k_means.test_minibatch_k_means_random_init_dense_array ... ok
sklearn.cluster.tests.test_k_means.test_minibatch_k_means_random_init_sparse_csr ... ok
sklearn.cluster.tests.test_k_means.test_minibatch_k_means_perfect_init_dense_array ... ok
sklearn.cluster.tests.test_k_means.test_minibatch_k_means_init_multiple_runs_with_explicit_centers ... ok
sklearn.cluster.tests.test_k_means.test_minibatch_k_means_perfect_init_sparse_csr ... ok
sklearn.cluster.tests.test_k_means.test_minibatch_sensible_reassign_fit ... ok
sklearn.cluster.tests.test_k_means.test_minibatch_sensible_reassign_partial_fit ... ok
sklearn.cluster.tests.test_k_means.test_minibatch_reassign ... ok
sklearn.cluster.tests.test_k_means.test_minibatch_with_many_reassignments ... ok
sklearn.cluster.tests.test_k_means.test_sparse_mb_k_means_callable_init ... ok
sklearn.cluster.tests.test_k_means.test_mini_batch_k_means_random_init_partial_fit ... ok
sklearn.cluster.tests.test_k_means.test_minibatch_default_init_size ... ok
sklearn.cluster.tests.test_k_means.test_minibatch_tol ... ok
sklearn.cluster.tests.test_k_means.test_minibatch_set_init_size ... ok
sklearn.cluster.tests.test_k_means.test_k_means_invalid_init ... ok
sklearn.cluster.tests.test_k_means.test_mini_match_k_means_invalid_init ... ok
sklearn.cluster.tests.test_k_means.test_k_means_copyx ... ok
sklearn.cluster.tests.test_k_means.test_k_means_non_collapsed ... ok
sklearn.cluster.tests.test_k_means.test_predict ... ok
sklearn.cluster.tests.test_k_means.test_score ... ok
sklearn.cluster.tests.test_k_means.test_predict_minibatch_dense_input ... ok
sklearn.cluster.tests.test_k_means.test_predict_minibatch_kmeanspp_init_sparse_input ... ok
sklearn.cluster.tests.test_k_means.test_predict_minibatch_random_init_sparse_input ... ok
sklearn.cluster.tests.test_k_means.test_int_input ... ok
sklearn.cluster.tests.test_k_means.test_transform ... ok
sklearn.cluster.tests.test_k_means.test_fit_transform ... ok
sklearn.cluster.tests.test_k_means.test_predict_equal_labels ... ok
sklearn.cluster.tests.test_k_means.test_k_means_plus_plus_init_2_jobs ... SKIP: Possible multi-process bug with some BLAS under Python < 3.4
sklearn.cluster.tests.test_k_means.test_full_vs_elkan ... ok
sklearn.cluster.tests.test_k_means.test_n_init ... ok
sklearn.cluster.tests.test_k_means.test_k_means_function ... ok
Test that x_squared_norms can be None in _init_centroids ... ok
sklearn.cluster.tests.test_k_means.test_max_iter_error ... ok
sklearn.cluster.tests.test_k_means.test_float_precision ... ok
sklearn.cluster.tests.test_k_means.test_k_means_init_centers ... ok
sklearn.cluster.tests.test_k_means.test_sparse_k_means_init_centers ... ok
sklearn.cluster.tests.test_k_means.test_sparse_validate_centers ... ok
sklearn.cluster.tests.test_mean_shift.test_estimate_bandwidth ... ok
sklearn.cluster.tests.test_mean_shift.test_mean_shift ... ok
sklearn.cluster.tests.test_mean_shift.test_estimate_bandwidth_with_sparse_matrix ... ok
sklearn.cluster.tests.test_mean_shift.test_parallel ... I: Seeding RNGs with 1819239690
Converged after 58 iterations.
ok
sklearn.cluster.tests.test_mean_shift.test_meanshift_predict ... ok
sklearn.cluster.tests.test_mean_shift.test_meanshift_all_orphans ... ok
sklearn.cluster.tests.test_mean_shift.test_unfitted ... ok
sklearn.cluster.tests.test_mean_shift.test_bin_seeds ... ok
sklearn.cluster.tests.test_spectral.test_spectral_clustering ... ok
sklearn.cluster.tests.test_spectral.test_spectral_amg_mode ... ok
sklearn.cluster.tests.test_spectral.test_spectral_unknown_mode ... ok
sklearn.cluster.tests.test_spectral.test_spectral_unknown_assign_labels ... ok
sklearn.cluster.tests.test_spectral.test_spectral_clustering_sparse ... ok
sklearn.cluster.tests.test_spectral.test_affinities ... ok
sklearn.cluster.tests.test_spectral.test_discretize ... ok
sklearn.covariance.tests.test_covariance.test_covariance ... ok
sklearn.covariance.tests.test_covariance.test_shrunk_covariance ... ok
sklearn.covariance.tests.test_covariance.test_ledoit_wolf ... ok
sklearn.covariance.tests.test_covariance.test_ledoit_wolf_small ... ok
sklearn.covariance.tests.test_covariance.test_ledoit_wolf_large ... ok
sklearn.covariance.tests.test_covariance.test_oas ... ok
sklearn.covariance.tests.test_graph_lasso.test_graph_lasso ... ok
sklearn.covariance.tests.test_graph_lasso.test_graph_lasso_iris ... ok
sklearn.covariance.tests.test_graph_lasso.test_graph_lasso_iris_singular ... ok
sklearn.covariance.tests.test_graph_lasso.test_graph_lasso_cv ... ok
sklearn.covariance.tests.test_graph_lasso.test_deprecated_grid_scores ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/deprecation.py:77: DeprecationWarning: Function grid_scores is deprecated; Attribute grid_scores was deprecated in version 0.19 and will be removed in 0.21. Use ``grid_scores_`` instead
warnings.warn(msg, category=DeprecationWarning)
ok
sklearn.covariance.tests.test_robust_covariance.test_mcd ... ok
sklearn.covariance.tests.test_robust_covariance.test_fast_mcd_on_invalid_input ... ok
sklearn.covariance.tests.test_robust_covariance.test_mcd_class_on_invalid_input ... ok
sklearn.covariance.tests.test_robust_covariance.test_mcd_issue1127 ... ok
sklearn.covariance.tests.test_robust_covariance.test_mcd_issue3367 ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/covariance/robust_covariance.py:622: UserWarning: The covariance matrix associated to your dataset is not full rank
warnings.warn("The covariance matrix associated to your dataset "
ok
sklearn.covariance.tests.test_robust_covariance.test_outlier_detection ... ok
sklearn.cross_decomposition.tests.test_pls.test_pls ... ok
sklearn.cross_decomposition.tests.test_pls.test_PLSSVD ... ok
sklearn.cross_decomposition.tests.test_pls.test_univariate_pls_regression ... ok
sklearn.cross_decomposition.tests.test_pls.test_predict_transform_copy ... ok
sklearn.cross_decomposition.tests.test_pls.test_scale_and_stability ... ok
sklearn.cross_decomposition.tests.test_pls.test_pls_errors ... ok
sklearn.cross_decomposition.tests.test_pls.test_pls_scaling ... ok
sklearn.datasets.tests.test_20news.test_20news ... SKIP: Download 20 newsgroups to run this test
Checks the length consistencies within the bunch ... SKIP: Download 20 newsgroups to run this test
sklearn.datasets.tests.test_20news.test_20news_vectorized ... SKIP: Download 20 newsgroups to run this test
sklearn.datasets.tests.test_base.test_data_home ... ok
sklearn.datasets.tests.test_base.test_default_empty_load_files ... ok
sklearn.datasets.tests.test_base.test_default_load_files ... ok
sklearn.datasets.tests.test_base.test_load_files_w_categories_desc_and_encoding ... ok
sklearn.datasets.tests.test_base.test_load_files_wo_load_content ... ok
sklearn.datasets.tests.test_base.test_load_sample_images ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/datasets/tests/test_base.py:124: UserWarning: Could not load sample images, PIL is not available.
warnings.warn("Could not load sample images, PIL is not available.")
ok
sklearn.datasets.tests.test_base.test_load_digits ... ok
sklearn.datasets.tests.test_base.test_load_digits_n_class_lt_10 ... ok
sklearn.datasets.tests.test_base.test_load_sample_image ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/datasets/tests/test_base.py:152: UserWarning: Could not load sample images, PIL is not available.
warnings.warn("Could not load sample images, PIL is not available.")
ok
sklearn.datasets.tests.test_base.test_load_missing_sample_image_error ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/datasets/tests/test_base.py:168: UserWarning: Could not load sample images, PIL is not available.
warnings.warn("Could not load sample images, PIL is not available.")
ok
sklearn.datasets.tests.test_base.test_load_diabetes ... ok
sklearn.datasets.tests.test_base.test_load_linnerud ... ok
sklearn.datasets.tests.test_base.test_load_iris ... ok
sklearn.datasets.tests.test_base.test_load_wine ... ok
sklearn.datasets.tests.test_base.test_load_breast_cancer ... ok
sklearn.datasets.tests.test_base.test_load_boston ... ok
sklearn.datasets.tests.test_base.test_loads_dumps_bunch ... ok
sklearn.datasets.tests.test_base.test_bunch_pickle_generated_with_0_16_and_read_with_0_17 ... ok
sklearn.datasets.tests.test_base.test_bunch_dir ... ok
sklearn.datasets.tests.test_covtype.test_fetch ... SKIP: Covertype dataset can not be loaded.
sklearn.datasets.tests.test_kddcup99.test_percent10 ... SKIP: kddcup99 dataset can not be loaded.
SKIP: PIL not installed.
sklearn.datasets.tests.test_mldata.test_mldata_filename ... ok
Test that fetch_mldata is able to download and cache a data set. ... ok
sklearn.datasets.tests.test_mldata.test_fetch_one_column ... ok
sklearn.datasets.tests.test_mldata.test_fetch_multiple_column ... ok
sklearn.datasets.tests.test_rcv1.test_fetch_rcv1 ... SKIP: Download RCV1 dataset to run this test.
sklearn.datasets.tests.test_samples_generator.test_make_classification ... ok
Test the construction of informative features in make_classification ... ok
sklearn.datasets.tests.test_samples_generator.test_make_multilabel_classification_return_sequences ... ok
sklearn.datasets.tests.test_samples_generator.test_make_multilabel_classification_return_indicator ... ok
sklearn.datasets.tests.test_samples_generator.test_make_multilabel_classification_return_indicator_sparse ... ok
sklearn.datasets.tests.test_samples_generator.test_make_hastie_10_2 ... ok
sklearn.datasets.tests.test_samples_generator.test_make_regression ... ok
sklearn.datasets.tests.test_samples_generator.test_make_regression_multitarget ... ok
sklearn.datasets.tests.test_samples_generator.test_make_blobs ... ok
sklearn.datasets.tests.test_samples_generator.test_make_friedman1 ... ok
sklearn.datasets.tests.test_samples_generator.test_make_friedman2 ... ok
sklearn.datasets.tests.test_samples_generator.test_make_friedman3 ... ok
sklearn.datasets.tests.test_samples_generator.test_make_low_rank_matrix ... ok
sklearn.datasets.tests.test_samples_generator.test_make_sparse_coded_signal ... ok
sklearn.datasets.tests.test_samples_generator.test_make_sparse_uncorrelated ... ok
sklearn.datasets.tests.test_samples_generator.test_make_spd_matrix ... ok
sklearn.datasets.tests.test_samples_generator.test_make_swiss_roll ... ok
sklearn.datasets.tests.test_samples_generator.test_make_s_curve ... ok
sklearn.datasets.tests.test_samples_generator.test_make_biclusters ... ok
sklearn.datasets.tests.test_samples_generator.test_make_checkerboard ... ok
sklearn.datasets.tests.test_samples_generator.test_make_moons ... ok
sklearn.datasets.tests.test_svmlight_format.test_load_svmlight_file ... ok
sklearn.datasets.tests.test_svmlight_format.test_load_svmlight_file_fd ... ok
sklearn.datasets.tests.test_svmlight_format.test_load_svmlight_file_multilabel ... ok
sklearn.datasets.tests.test_svmlight_format.test_load_svmlight_files ... ok
sklearn.datasets.tests.test_svmlight_format.test_load_svmlight_file_n_features ... ok
sklearn.datasets.tests.test_svmlight_format.test_load_compressed ... ok
sklearn.datasets.tests.test_svmlight_format.test_load_invalid_file ... ok
sklearn.datasets.tests.test_svmlight_format.test_load_invalid_order_file ... ok
sklearn.datasets.tests.test_svmlight_format.test_load_zero_based ... ok
sklearn.datasets.tests.test_svmlight_format.test_load_zero_based_auto ... ok
sklearn.datasets.tests.test_svmlight_format.test_load_with_qid ... ok
sklearn.datasets.tests.test_svmlight_format.test_load_invalid_file2 ... ok
sklearn.datasets.tests.test_svmlight_format.test_not_a_filename ... ok
sklearn.datasets.tests.test_svmlight_format.test_invalid_filename ... ok
sklearn.datasets.tests.test_svmlight_format.test_dump ... ok
sklearn.datasets.tests.test_svmlight_format.test_dump_multilabel ... ok
sklearn.datasets.tests.test_svmlight_format.test_dump_concise ... ok
sklearn.datasets.tests.test_svmlight_format.test_dump_comment ... ok
sklearn.datasets.tests.test_svmlight_format.test_dump_invalid ... ok
sklearn.datasets.tests.test_svmlight_format.test_dump_query_id ... ok
sklearn.datasets.tests.test_svmlight_format.test_load_with_long_qid ... ok
sklearn.datasets.tests.test_svmlight_format.test_load_zeros ... ok
sklearn.datasets.tests.test_svmlight_format.test_load_with_offsets(0, 13, 2) ... ok
sklearn.datasets.tests.test_svmlight_format.test_load_with_offsets(0, 13, 7) ... ok
sklearn.datasets.tests.test_svmlight_format.test_load_with_offsets(0, 13, 41) ... ok
sklearn.datasets.tests.test_svmlight_format.test_load_with_offsets(0, 101, 2) ... ok
sklearn.datasets.tests.test_svmlight_format.test_load_with_offsets(0, 101, 7) ... ok
sklearn.datasets.tests.test_svmlight_format.test_load_with_offsets(0, 101, 41) ... ok
sklearn.datasets.tests.test_svmlight_format.test_load_with_offsets(0.1, 13, 2) ... ok
sklearn.datasets.tests.test_svmlight_format.test_load_with_offsets(0.1, 13, 7) ... ok
sklearn.datasets.tests.test_svmlight_format.test_load_with_offsets(0.1, 13, 41) ... ok
sklearn.datasets.tests.test_svmlight_format.test_load_with_offsets(0.1, 101, 2) ... ok
sklearn.datasets.tests.test_svmlight_format.test_load_with_offsets(0.1, 101, 7) ... ok
sklearn.datasets.tests.test_svmlight_format.test_load_with_offsets(0.1, 101, 41) ... ok
sklearn.datasets.tests.test_svmlight_format.test_load_with_offsets(0.5, 13, 2) ... ok
sklearn.datasets.tests.test_svmlight_format.test_load_with_offsets(0.5, 13, 7) ... ok
sklearn.datasets.tests.test_svmlight_format.test_load_with_offsets(0.5, 13, 41) ... ok
sklearn.datasets.tests.test_svmlight_format.test_load_with_offsets(0.5, 101, 2) ... ok
sklearn.datasets.tests.test_svmlight_format.test_load_with_offsets(0.5, 101, 7) ... ok
sklearn.datasets.tests.test_svmlight_format.test_load_with_offsets(0.5, 101, 41) ... ok
sklearn.datasets.tests.test_svmlight_format.test_load_with_offsets(0.99, 13, 2) ... ok
sklearn.datasets.tests.test_svmlight_format.test_load_with_offsets(0.99, 13, 7) ... ok
sklearn.datasets.tests.test_svmlight_format.test_load_with_offsets(0.99, 13, 41) ... ok
sklearn.datasets.tests.test_svmlight_format.test_load_with_offsets(0.99, 101, 2) ... ok
sklearn.datasets.tests.test_svmlight_format.test_load_with_offsets(0.99, 101, 7) ... ok
sklearn.datasets.tests.test_svmlight_format.test_load_with_offsets(0.99, 101, 41) ... ok
sklearn.datasets.tests.test_svmlight_format.test_load_with_offsets(1, 13, 2) ... ok
sklearn.datasets.tests.test_svmlight_format.test_load_with_offsets(1, 13, 7) ... ok
sklearn.datasets.tests.test_svmlight_format.test_load_with_offsets(1, 13, 41) ... ok
sklearn.datasets.tests.test_svmlight_format.test_load_with_offsets(1, 101, 2) ... ok
sklearn.datasets.tests.test_svmlight_format.test_load_with_offsets(1, 101, 7) ... ok
sklearn.datasets.tests.test_svmlight_format.test_load_with_offsets(1, 101, 41) ... ok
sklearn.datasets.tests.test_svmlight_format.test_load_offset_exhaustive_splits ... ok
sklearn.datasets.tests.test_svmlight_format.test_load_with_offsets_error ... ok
sklearn.decomposition.tests.test_dict_learning.test_sparse_encode_shapes_omp ... ok
sklearn.decomposition.tests.test_dict_learning.test_dict_learning_shapes ... ok
sklearn.decomposition.tests.test_dict_learning.test_dict_learning_overcomplete ... ok
sklearn.decomposition.tests.test_dict_learning.test_dict_learning_reconstruction ... ok
sklearn.decomposition.tests.test_dict_learning.test_dict_learning_reconstruction_parallel ... ok
sklearn.decomposition.tests.test_dict_learning.test_dict_learning_lassocd_readonly_data ... ok
sklearn.decomposition.tests.test_dict_learning.test_dict_learning_nonzero_coefs ... ok
sklearn.decomposition.tests.test_dict_learning.test_dict_learning_unknown_fit_algorithm ... ok
sklearn.decomposition.tests.test_dict_learning.test_dict_learning_split ... ok
sklearn.decomposition.tests.test_dict_learning.test_dict_learning_online_shapes ... ok
sklearn.decomposition.tests.test_dict_learning.test_dict_learning_online_verbosity ... ok
sklearn.decomposition.tests.test_dict_learning.test_dict_learning_online_estimator_shapes ... ok
sklearn.decomposition.tests.test_dict_learning.test_dict_learning_online_overcomplete ... ok
sklearn.decomposition.tests.test_dict_learning.test_dict_learning_online_initialization ... ok
sklearn.decomposition.tests.test_dict_learning.test_dict_learning_online_partial_fit ... ok
sklearn.decomposition.tests.test_dict_learning.test_sparse_encode_shapes ... ok
sklearn.decomposition.tests.test_dict_learning.test_sparse_encode_input ... ok
sklearn.decomposition.tests.test_dict_learning.test_sparse_encode_error ... ok
sklearn.decomposition.tests.test_dict_learning.test_sparse_encode_error_default_sparsity ... ok
sklearn.decomposition.tests.test_dict_learning.test_unknown_method ... ok
sklearn.decomposition.tests.test_dict_learning.test_sparse_coder_estimator ... ok
sklearn.decomposition.tests.test_factor_analysis.test_factor_analysis ... ok
sklearn.decomposition.tests.test_fastica.test_gs ... ok
sklearn.decomposition.tests.test_fastica.test_fastica_simple ... ok
sklearn.decomposition.tests.test_fastica.test_fastica_nowhiten ... ok
sklearn.decomposition.tests.test_fastica.test_non_square_fastica ... ok
sklearn.decomposition.tests.test_fastica.test_fit_transform ... ok
sklearn.decomposition.tests.test_fastica.test_inverse_transform ... ok
sklearn.decomposition.tests.test_incremental_pca.test_incremental_pca ... ok
sklearn.decomposition.tests.test_incremental_pca.test_incremental_pca_check_projection ... ok
sklearn.decomposition.tests.test_incremental_pca.test_incremental_pca_inverse ... ok
sklearn.decomposition.tests.test_incremental_pca.test_incremental_pca_validation ... ok
sklearn.decomposition.tests.test_incremental_pca.test_incremental_pca_set_params ... ok
sklearn.decomposition.tests.test_incremental_pca.test_incremental_pca_num_features_change ... ok
sklearn.decomposition.tests.test_incremental_pca.test_incremental_pca_batch_signs ... ok
sklearn.decomposition.tests.test_incremental_pca.test_incremental_pca_batch_values ... ok
sklearn.decomposition.tests.test_incremental_pca.test_incremental_pca_partial_fit ... ok
sklearn.decomposition.tests.test_incremental_pca.test_incremental_pca_against_pca_iris ... ok
sklearn.decomposition.tests.test_incremental_pca.test_incremental_pca_against_pca_random_data ... ok
sklearn.decomposition.tests.test_incremental_pca.test_explained_variances ... ok
sklearn.decomposition.tests.test_incremental_pca.test_singular_values ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/datasets/samples_generator.py:1046: RuntimeWarning: underflow encountered in exp
np.exp(-1.0 * (singular_ind / effective_rank) ** 2))
ok
sklearn.decomposition.tests.test_incremental_pca.test_whitening ... ok
sklearn.decomposition.tests.test_kernel_pca.test_kernel_pca ... ok
sklearn.decomposition.tests.test_kernel_pca.test_kernel_pca_invalid_parameters ... ok
sklearn.decomposition.tests.test_kernel_pca.test_kernel_pca_consistent_transform ... ok
sklearn.decomposition.tests.test_kernel_pca.test_kernel_pca_sparse ... ok
sklearn.decomposition.tests.test_kernel_pca.test_kernel_pca_linear_kernel ... ok
sklearn.decomposition.tests.test_kernel_pca.test_kernel_pca_n_components ... ok
sklearn.decomposition.tests.test_kernel_pca.test_remove_zero_eig ... ok
sklearn.decomposition.tests.test_kernel_pca.test_kernel_pca_precomputed ... ok
sklearn.decomposition.tests.test_kernel_pca.test_kernel_pca_invalid_kernel ... ok
sklearn.decomposition.tests.test_kernel_pca.test_gridsearch_pipeline ... ok
sklearn.decomposition.tests.test_kernel_pca.test_gridsearch_pipeline_precomputed ... ok
sklearn.decomposition.tests.test_kernel_pca.test_nested_circles ... ok
sklearn.decomposition.tests.test_nmf.test_initialize_nn_output ... ok
sklearn.decomposition.tests.test_nmf.test_parameter_checking ... ok
sklearn.decomposition.tests.test_nmf.test_initialize_close ... ok
sklearn.decomposition.tests.test_nmf.test_initialize_variants ... ok
sklearn.decomposition.tests.test_nmf.test_nmf_fit_close ... ok
sklearn.decomposition.tests.test_nmf.test_nmf_transform ... ok
sklearn.decomposition.tests.test_nmf.test_nmf_transform_custom_init ... ok
sklearn.decomposition.tests.test_nmf.test_nmf_inverse_transform ... ok
sklearn.decomposition.tests.test_nmf.test_n_components_greater_n_features ... ok
sklearn.decomposition.tests.test_nmf.test_nmf_sparse_input ... ok
sklearn.decomposition.tests.test_nmf.test_nmf_sparse_transform ... ok
sklearn.decomposition.tests.test_nmf.test_non_negative_factorization_consistency ... ok
sklearn.decomposition.tests.test_nmf.test_non_negative_factorization_checking ... ok
sklearn.decomposition.tests.test_nmf.test_beta_divergence ... ok
sklearn.decomposition.tests.test_nmf.test_nmf_decreasing ... ok
sklearn.decomposition.tests.test_nmf.test_nmf_fit_nn_output ... ok
sklearn.decomposition.tests.test_nmf.test_nmf_multiplicative_update_sparse ... ok
sklearn.decomposition.tests.test_nmf.test_special_sparse_dot ... ok
sklearn.decomposition.tests.test_nmf.test_nmf_negative_beta_loss ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/decomposition/nmf.py:788: RuntimeWarning: underflow encountered in multiply
H *= delta_H
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/decomposition/nmf.py:165: RuntimeWarning: underflow encountered in multiply
dot_vals = np.multiply(W[ii, :], H.T[jj, :]).sum(axis=1)
ok
sklearn.decomposition.tests.test_nmf.test_nmf_regularization ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/decomposition/nmf.py:778: RuntimeWarning: underflow encountered in multiply
W *= delta_W
ok
sklearn.decomposition.tests.test_online_lda.test_lda_default_prior_params ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/decomposition/online_lda.py:536: DeprecationWarning: The default value for 'learning_method' will be changed from 'online' to 'batch' in the release 0.20. This warning was introduced in 0.18.
DeprecationWarning)
ok
sklearn.decomposition.tests.test_online_lda.test_lda_fit_batch ... ok
sklearn.decomposition.tests.test_online_lda.test_lda_fit_online ... ok
sklearn.decomposition.tests.test_online_lda.test_lda_partial_fit ... ok
sklearn.decomposition.tests.test_online_lda.test_lda_dense_input ... ok
sklearn.decomposition.tests.test_online_lda.test_lda_transform ... ok
sklearn.decomposition.tests.test_online_lda.test_lda_fit_transform ... ok
sklearn.decomposition.tests.test_online_lda.test_lda_partial_fit_dim_mismatch ... ok
sklearn.decomposition.tests.test_online_lda.test_invalid_params ... ok
sklearn.decomposition.tests.test_online_lda.test_lda_negative_input ... ok
sklearn.decomposition.tests.test_online_lda.test_lda_no_component_error ... ok
sklearn.decomposition.tests.test_online_lda.test_lda_transform_mismatch ... ok
sklearn.decomposition.tests.test_online_lda.test_lda_preplexity_mismatch ... ok
sklearn.decomposition.tests.test_online_lda.test_lda_perplexity ... ok
sklearn.decomposition.tests.test_online_lda.test_lda_score ... ok
sklearn.decomposition.tests.test_online_lda.test_perplexity_input_format ... ok
sklearn.decomposition.tests.test_online_lda.test_lda_score_perplexity ... ok
sklearn.decomposition.tests.test_online_lda.test_lda_fit_perplexity ... ok
sklearn.decomposition.tests.test_online_lda.test_doc_topic_distr_deprecation ... ok
Test LDA on empty document (all-zero rows). ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/decomposition/online_lda.py:536: DeprecationWarning: The default value for 'learning_method' will be changed from 'online' to 'batch' in the release 0.20. This warning was introduced in 0.18.
DeprecationWarning)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/decomposition/online_lda.py:780: RuntimeWarning: divide by zero encountered in double_scalars
perword_bound = bound / word_cnt
ok
Test Cython version of Dirichlet expectation calculation. ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/decomposition/tests/test_online_lda.py:375: RuntimeWarning: underflow encountered in exp
assert_allclose(expectation, np.exp(psi(x) - psi(np.sum(x))),
/usr/lib/python2.7/dist-packages/numpy/core/numeric.py:2321: RuntimeWarning: underflow encountered in multiply
return less_equal(abs(x-y), atol + rtol * abs(y))
ok
sklearn.decomposition.tests.test_online_lda.test_verbosity(False, 1, 0, 0) ... ok
sklearn.decomposition.tests.test_online_lda.test_verbosity(False, 0, 0, 0) ... ok
sklearn.decomposition.tests.test_online_lda.test_verbosity(True, 0, 3, 0) ... ok
sklearn.decomposition.tests.test_online_lda.test_verbosity(True, 1, 3, 3) ... ok
sklearn.decomposition.tests.test_online_lda.test_verbosity(True, 2, 3, 1) ... ok
sklearn.decomposition.tests.test_online_lda.test_lda_n_topics_deprecation ... ok
sklearn.decomposition.tests.test_online_lda.test_lda_multi_jobs ... ok
sklearn.decomposition.tests.test_online_lda.test_lda_partial_fit_multi_jobs ... ok
sklearn.decomposition.tests.test_pca.test_pca ... ok
sklearn.decomposition.tests.test_pca.test_pca_arpack_solver ... ok
sklearn.decomposition.tests.test_pca.test_pca_randomized_solver ... ok
sklearn.decomposition.tests.test_pca.test_no_empty_slice_warning ... ok
sklearn.decomposition.tests.test_pca.test_whitening ... ok
sklearn.decomposition.tests.test_pca.test_singular_values ... ok
sklearn.decomposition.tests.test_pca.test_explained_variance ... ok
sklearn.decomposition.tests.test_pca.test_pca_check_projection ... ok
sklearn.decomposition.tests.test_pca.test_pca_inverse ... ok
sklearn.decomposition.tests.test_pca.test_pca_validation ... ok
sklearn.decomposition.tests.test_pca.test_randomized_pca_check_projection ... ok
sklearn.decomposition.tests.test_pca.test_randomized_pca_check_list ... ok
sklearn.decomposition.tests.test_pca.test_randomized_pca_inverse ... ok
sklearn.decomposition.tests.test_pca.test_pca_dim ... ok
sklearn.decomposition.tests.test_pca.test_infer_dim_1 ... ok
sklearn.decomposition.tests.test_pca.test_infer_dim_2 ... ok
sklearn.decomposition.tests.test_pca.test_infer_dim_3 ... ok
sklearn.decomposition.tests.test_pca.test_infer_dim_by_explained_variance ... ok
sklearn.decomposition.tests.test_pca.test_pca_score ... ok
sklearn.decomposition.tests.test_pca.test_pca_score2 ... ok
sklearn.decomposition.tests.test_pca.test_pca_score3 ... ok
sklearn.decomposition.tests.test_pca.test_pca_score_with_different_solvers ... ok
sklearn.decomposition.tests.test_pca.test_pca_zero_noise_variance_edge_cases ... ok
sklearn.decomposition.tests.test_pca.test_svd_solver_auto ... ok
sklearn.decomposition.tests.test_pca.test_deprecation_randomized_pca ... ok
sklearn.decomposition.tests.test_pca.test_pca_sparse_input ... ok
sklearn.decomposition.tests.test_pca.test_pca_bad_solver ... ok
sklearn.decomposition.tests.test_pca.test_pca_dtype_preservation('full',) ... ok
sklearn.decomposition.tests.test_pca.test_pca_dtype_preservation('full',) ... ok
sklearn.decomposition.tests.test_pca.test_pca_dtype_preservation('arpack',) ... ok
sklearn.decomposition.tests.test_pca.test_pca_dtype_preservation('arpack',) ... ok
sklearn.decomposition.tests.test_pca.test_pca_dtype_preservation('randomized',) ... ok
sklearn.decomposition.tests.test_pca.test_pca_dtype_preservation('randomized',) ... ok
sklearn.decomposition.tests.test_pca.test_pca_dtype_preservation('auto',) ... ok
sklearn.decomposition.tests.test_pca.test_pca_dtype_preservation('auto',) ... ok
sklearn.decomposition.tests.test_sparse_pca.test_correct_shapes ... ok
sklearn.decomposition.tests.test_sparse_pca.test_fit_transform ... ok
sklearn.decomposition.tests.test_sparse_pca.test_transform_nan ... ok
sklearn.decomposition.tests.test_sparse_pca.test_fit_transform_tall ... ok
sklearn.decomposition.tests.test_sparse_pca.test_initialization ... ok
sklearn.decomposition.tests.test_sparse_pca.test_mini_batch_correct_shapes ... ok
sklearn.decomposition.tests.test_sparse_pca.test_mini_batch_fit_transform ... SKIP: skipping mini_batch_fit_transform.
sklearn.decomposition.tests.test_sparse_pca.test_fit_transform_parallel ... ok
sklearn.decomposition.tests.test_truncated_svd.test_algorithms ... ok
sklearn.decomposition.tests.test_truncated_svd.test_attributes ... ok
sklearn.decomposition.tests.test_truncated_svd.test_too_many_components ... ok
sklearn.decomposition.tests.test_truncated_svd.test_sparse_formats ... ok
sklearn.decomposition.tests.test_truncated_svd.test_inverse_transform ... ok
sklearn.decomposition.tests.test_truncated_svd.test_integers ... ok
sklearn.decomposition.tests.test_truncated_svd.test_explained_variance ... ok
sklearn.decomposition.tests.test_truncated_svd.test_singular_values ... ok
sklearn.ensemble.tests.test_bagging.test_classification ... ok
sklearn.ensemble.tests.test_bagging.test_sparse_classification ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/ensemble/bagging.py:748: RuntimeWarning: divide by zero encountered in log
return np.log(self.predict_proba(X))
ok
sklearn.ensemble.tests.test_bagging.test_regression ... ok
sklearn.ensemble.tests.test_bagging.test_sparse_regression ... ok
sklearn.ensemble.tests.test_bagging.test_bootstrap_samples ... ok
sklearn.ensemble.tests.test_bagging.test_bootstrap_features ... ok
sklearn.ensemble.tests.test_bagging.test_probability ... ok
sklearn.ensemble.tests.test_bagging.test_oob_score_classification ... ok
sklearn.ensemble.tests.test_bagging.test_oob_score_regression ... ok
sklearn.ensemble.tests.test_bagging.test_single_estimator ... ok
sklearn.ensemble.tests.test_bagging.test_error ... ok
sklearn.ensemble.tests.test_bagging.test_parallel_classification ... ok
sklearn.ensemble.tests.test_bagging.test_parallel_regression ... ok
sklearn.ensemble.tests.test_bagging.test_gridsearch ... ok
sklearn.ensemble.tests.test_bagging.test_base_estimator ... ok
sklearn.ensemble.tests.test_bagging.test_bagging_with_pipeline ... ok
sklearn.ensemble.tests.test_bagging.test_bagging_sample_weight_unsupported_but_passed ... ok
sklearn.ensemble.tests.test_bagging.test_warm_start ... ok
sklearn.ensemble.tests.test_bagging.test_warm_start_smaller_n_estimators ... ok
sklearn.ensemble.tests.test_bagging.test_warm_start_equal_n_estimators ... ok
sklearn.ensemble.tests.test_bagging.test_warm_start_equivalence ... ok
sklearn.ensemble.tests.test_bagging.test_warm_start_with_oob_score_fails ... ok
sklearn.ensemble.tests.test_bagging.test_oob_score_removed_on_warm_start ... ok
sklearn.ensemble.tests.test_bagging.test_oob_score_consistency ... ok
sklearn.ensemble.tests.test_bagging.test_estimators_samples ... ok
sklearn.ensemble.tests.test_bagging.test_max_samples_consistency ... ok
sklearn.ensemble.tests.test_bagging.test_set_oob_score_label_encoding ... ok
sklearn.ensemble.tests.test_base.test_base ... ok
sklearn.ensemble.tests.test_base.test_base_zero_n_estimators ... ok
sklearn.ensemble.tests.test_base.test_base_not_int_n_estimators ... ok
sklearn.ensemble.tests.test_base.test_set_random_states ... ok
sklearn.ensemble.tests.test_forest.test_classification_toy('ExtraTreesClassifier',) ... ok
sklearn.ensemble.tests.test_forest.test_classification_toy('RandomForestClassifier',) ... ok
sklearn.ensemble.tests.test_forest.test_iris('ExtraTreesClassifier', 'gini') ... ok
sklearn.ensemble.tests.test_forest.test_iris('ExtraTreesClassifier', 'entropy') ... ok
sklearn.ensemble.tests.test_forest.test_iris('RandomForestClassifier', 'gini') ... ok
sklearn.ensemble.tests.test_forest.test_iris('RandomForestClassifier', 'entropy') ... ok
sklearn.ensemble.tests.test_forest.test_boston('ExtraTreesRegressor', 'mse') ... ok
sklearn.ensemble.tests.test_forest.test_boston('ExtraTreesRegressor', 'mae') ... ok
sklearn.ensemble.tests.test_forest.test_boston('ExtraTreesRegressor', 'friedman_mse') ... ok
sklearn.ensemble.tests.test_forest.test_boston('RandomForestRegressor', 'mse') ... ok
sklearn.ensemble.tests.test_forest.test_boston('RandomForestRegressor', 'mae') ... ok
sklearn.ensemble.tests.test_forest.test_boston('RandomForestRegressor', 'friedman_mse') ... ok
sklearn.ensemble.tests.test_forest.test_regressor_attributes('ExtraTreesRegressor',) ... ok
sklearn.ensemble.tests.test_forest.test_regressor_attributes('RandomForestRegressor',) ... ok
sklearn.ensemble.tests.test_forest.test_probability('ExtraTreesClassifier',) ... ok
sklearn.ensemble.tests.test_forest.test_probability('RandomForestClassifier',) ... ok
sklearn.ensemble.tests.test_forest.test_importances('ExtraTreesClassifier', 'gini', <type 'numpy.float64'>, 0.01) ... ok
sklearn.ensemble.tests.test_forest.test_importances('ExtraTreesClassifier', 'entropy', <type 'numpy.float64'>, 0.01) ... ok
sklearn.ensemble.tests.test_forest.test_importances('RandomForestClassifier', 'gini', <type 'numpy.float64'>, 0.01) ... ok
sklearn.ensemble.tests.test_forest.test_importances('RandomForestClassifier', 'entropy', <type 'numpy.float64'>, 0.01) ... ok
sklearn.ensemble.tests.test_forest.test_importances('ExtraTreesRegressor', 'mse', <type 'numpy.float64'>, 0.01) ... ok
sklearn.ensemble.tests.test_forest.test_importances('ExtraTreesRegressor', 'friedman_mse', <type 'numpy.float64'>, 0.01) ... ok
sklearn.ensemble.tests.test_forest.test_importances('ExtraTreesRegressor', 'mae', <type 'numpy.float64'>, 0.05) ... ok
sklearn.ensemble.tests.test_forest.test_importances('RandomForestRegressor', 'mse', <type 'numpy.float64'>, 0.01) ... ok
sklearn.ensemble.tests.test_forest.test_importances('RandomForestRegressor', 'friedman_mse', <type 'numpy.float64'>, 0.01) ... ok
sklearn.ensemble.tests.test_forest.test_importances('RandomForestRegressor', 'mae', <type 'numpy.float64'>, 0.05) ... ok
sklearn.ensemble.tests.test_forest.test_importances('ExtraTreesClassifier', 'gini', <type 'numpy.float32'>, 0.01) ... ok
sklearn.ensemble.tests.test_forest.test_importances('ExtraTreesClassifier', 'entropy', <type 'numpy.float32'>, 0.01) ... ok
sklearn.ensemble.tests.test_forest.test_importances('RandomForestClassifier', 'gini', <type 'numpy.float32'>, 0.01) ... ok
sklearn.ensemble.tests.test_forest.test_importances('RandomForestClassifier', 'entropy', <type 'numpy.float32'>, 0.01) ... ok
sklearn.ensemble.tests.test_forest.test_importances('ExtraTreesRegressor', 'mse', <type 'numpy.float32'>, 0.01) ... ok
sklearn.ensemble.tests.test_forest.test_importances('ExtraTreesRegressor', 'friedman_mse', <type 'numpy.float32'>, 0.01) ... ok
sklearn.ensemble.tests.test_forest.test_importances('ExtraTreesRegressor', 'mae', <type 'numpy.float32'>, 0.05) ... ok
sklearn.ensemble.tests.test_forest.test_importances('RandomForestRegressor', 'mse', <type 'numpy.float32'>, 0.01) ... ok
sklearn.ensemble.tests.test_forest.test_importances('RandomForestRegressor', 'friedman_mse', <type 'numpy.float32'>, 0.01) ... ok
sklearn.ensemble.tests.test_forest.test_importances('RandomForestRegressor', 'mae', <type 'numpy.float32'>, 0.05) ... ok
sklearn.ensemble.tests.test_forest.test_importances_asymptotic ... ok
sklearn.ensemble.tests.test_forest.test_1d_input ... ok
sklearn.ensemble.tests.test_forest.test_random_hasher ... ok
sklearn.ensemble.tests.test_forest.test_unfitted_feature_importances('ExtraTreesRegressor',) ... ok
sklearn.ensemble.tests.test_forest.test_unfitted_feature_importances('RandomForestRegressor',) ... ok
sklearn.ensemble.tests.test_forest.test_unfitted_feature_importances('RandomTreesEmbedding',) ... ok
sklearn.ensemble.tests.test_forest.test_unfitted_feature_importances('ExtraTreesClassifier',) ... ok
sklearn.ensemble.tests.test_forest.test_unfitted_feature_importances('RandomForestClassifier',) ... ok
sklearn.ensemble.tests.test_forest.test_oob_score('ExtraTreesClassifier', array([[5.8, 2.8, 5.1, 2.4], ... ok
sklearn.ensemble.tests.test_forest.test_oob_score('ExtraTreesClassifier', <150x4 sparse matrix of type '<type 'numpy.float64'>' ... ok
sklearn.ensemble.tests.test_forest.test_oob_score('ExtraTreesClassifier', array([[5.8, 2.8, 5.1, 2.4], ... ok
sklearn.ensemble.tests.test_forest.test_oob_score('RandomForestClassifier', array([[5.8, 2.8, 5.1, 2.4], ... ok
sklearn.ensemble.tests.test_forest.test_oob_score('RandomForestClassifier', <150x4 sparse matrix of type '<type 'numpy.float64'>' ... ok
sklearn.ensemble.tests.test_forest.test_oob_score('RandomForestClassifier', array([[5.8, 2.8, 5.1, 2.4], ... ok
sklearn.ensemble.tests.test_forest.test_oob_score('ExtraTreesRegressor', array([[3.16360e+00, 0.00000e+00, 1.81000e+01, ..., 2.02000e+01, ... ok
sklearn.ensemble.tests.test_forest.test_oob_score('ExtraTreesRegressor', <506x13 sparse matrix of type '<type 'numpy.float64'>' ... ok
sklearn.ensemble.tests.test_forest.test_oob_score('RandomForestRegressor', array([[3.16360e+00, 0.00000e+00, 1.81000e+01, ..., 2.02000e+01, ... ok
sklearn.ensemble.tests.test_forest.test_oob_score('RandomForestRegressor', <506x13 sparse matrix of type '<type 'numpy.float64'>' ... ok
sklearn.ensemble.tests.test_forest.test_oob_score_raise_error('ExtraTreesRegressor',) ... ok
sklearn.ensemble.tests.test_forest.test_oob_score_raise_error('RandomForestRegressor',) ... ok
sklearn.ensemble.tests.test_forest.test_oob_score_raise_error('RandomTreesEmbedding',) ... ok
sklearn.ensemble.tests.test_forest.test_oob_score_raise_error('ExtraTreesClassifier',) ... ok
sklearn.ensemble.tests.test_forest.test_oob_score_raise_error('RandomForestClassifier',) ... ok
sklearn.ensemble.tests.test_forest.test_gridsearch('ExtraTreesClassifier',) ... ok
sklearn.ensemble.tests.test_forest.test_gridsearch('RandomForestClassifier',) ... ok
sklearn.ensemble.tests.test_forest.test_parallel('ExtraTreesClassifier', array([[5.8, 2.8, 5.1, 2.4], ... ok
sklearn.ensemble.tests.test_forest.test_parallel('RandomForestClassifier', array([[5.8, 2.8, 5.1, 2.4], ... ok
sklearn.ensemble.tests.test_forest.test_parallel('ExtraTreesRegressor', array([[3.16360e+00, 0.00000e+00, 1.81000e+01, ..., 2.02000e+01, ... ok
sklearn.ensemble.tests.test_forest.test_parallel('RandomForestRegressor', array([[3.16360e+00, 0.00000e+00, 1.81000e+01, ..., 2.02000e+01, ... ok
sklearn.ensemble.tests.test_forest.test_pickle('ExtraTreesClassifier', array([[5.8, 2.8, 5.1, 2.4], ... ok
sklearn.ensemble.tests.test_forest.test_pickle('RandomForestClassifier', array([[5.8, 2.8, 5.1, 2.4], ... ok
sklearn.ensemble.tests.test_forest.test_pickle('ExtraTreesRegressor', array([[3.16360e+00, 0.00000e+00, 1.81000e+01, ..., 2.02000e+01, ... ok
sklearn.ensemble.tests.test_forest.test_pickle('RandomForestRegressor', array([[3.16360e+00, 0.00000e+00, 1.81000e+01, ..., 2.02000e+01, ... ok
sklearn.ensemble.tests.test_forest.test_multioutput('ExtraTreesClassifier',) ... ok
sklearn.ensemble.tests.test_forest.test_multioutput('RandomForestClassifier',) ... ok
sklearn.ensemble.tests.test_forest.test_multioutput('ExtraTreesRegressor',) ... ok
sklearn.ensemble.tests.test_forest.test_multioutput('RandomForestRegressor',) ... ok
sklearn.ensemble.tests.test_forest.test_classes_shape('ExtraTreesClassifier',) ... ok
sklearn.ensemble.tests.test_forest.test_classes_shape('RandomForestClassifier',) ... ok
sklearn.ensemble.tests.test_forest.test_random_trees_dense_type ... ok
sklearn.ensemble.tests.test_forest.test_random_trees_dense_equal ... ok
sklearn.ensemble.tests.test_forest.test_random_hasher_sparse_data ... ok
sklearn.ensemble.tests.test_forest.test_parallel_train ... ok
sklearn.ensemble.tests.test_forest.test_distribution ... ok
sklearn.ensemble.tests.test_forest.test_max_leaf_nodes_max_depth('ExtraTreesRegressor',) ... ok
sklearn.ensemble.tests.test_forest.test_max_leaf_nodes_max_depth('RandomForestRegressor',) ... ok
sklearn.ensemble.tests.test_forest.test_max_leaf_nodes_max_depth('RandomTreesEmbedding',) ... ok
sklearn.ensemble.tests.test_forest.test_max_leaf_nodes_max_depth('ExtraTreesClassifier',) ... ok
sklearn.ensemble.tests.test_forest.test_max_leaf_nodes_max_depth('RandomForestClassifier',) ... ok
sklearn.ensemble.tests.test_forest.test_min_samples_split('ExtraTreesRegressor',) ... ok
sklearn.ensemble.tests.test_forest.test_min_samples_split('RandomForestRegressor',) ... ok
sklearn.ensemble.tests.test_forest.test_min_samples_split('RandomTreesEmbedding',) ... ok
sklearn.ensemble.tests.test_forest.test_min_samples_split('ExtraTreesClassifier',) ... ok
sklearn.ensemble.tests.test_forest.test_min_samples_split('RandomForestClassifier',) ... ok
sklearn.ensemble.tests.test_forest.test_min_samples_leaf('ExtraTreesRegressor',) ... ok
sklearn.ensemble.tests.test_forest.test_min_samples_leaf('RandomForestRegressor',) ... ok
sklearn.ensemble.tests.test_forest.test_min_samples_leaf('RandomTreesEmbedding',) ... ok
sklearn.ensemble.tests.test_forest.test_min_samples_leaf('ExtraTreesClassifier',) ... ok
sklearn.ensemble.tests.test_forest.test_min_samples_leaf('RandomForestClassifier',) ... ok
sklearn.ensemble.tests.test_forest.test_min_weight_fraction_leaf('ExtraTreesRegressor',) ... ok
sklearn.ensemble.tests.test_forest.test_min_weight_fraction_leaf('RandomForestRegressor',) ... ok
sklearn.ensemble.tests.test_forest.test_min_weight_fraction_leaf('RandomTreesEmbedding',) ... ok
sklearn.ensemble.tests.test_forest.test_min_weight_fraction_leaf('ExtraTreesClassifier',) ... ok
sklearn.ensemble.tests.test_forest.test_min_weight_fraction_leaf('RandomForestClassifier',) ... ok
sklearn.ensemble.tests.test_forest.test_sparse_input('ExtraTreesRegressor', array([[ 3., 1., 4., 0., 3., 0., 7., 2., 1., 0., 5., 3., 4., ... ok
sklearn.ensemble.tests.test_forest.test_sparse_input('ExtraTreesRegressor', array([[ 3., 1., 4., 0., 3., 0., 7., 2., 1., 0., 5., 3., 4., ... ok
sklearn.ensemble.tests.test_forest.test_sparse_input('ExtraTreesRegressor', array([[ 3., 1., 4., 0., 3., 0., 7., 2., 1., 0., 5., 3., 4., ... ok
sklearn.ensemble.tests.test_forest.test_sparse_input('RandomForestRegressor', array([[ 3., 1., 4., 0., 3., 0., 7., 2., 1., 0., 5., 3., 4., ... ok
sklearn.ensemble.tests.test_forest.test_sparse_input('RandomForestRegressor', array([[ 3., 1., 4., 0., 3., 0., 7., 2., 1., 0., 5., 3., 4., ... ok
sklearn.ensemble.tests.test_forest.test_sparse_input('RandomForestRegressor', array([[ 3., 1., 4., 0., 3., 0., 7., 2., 1., 0., 5., 3., 4., ... ok
sklearn.ensemble.tests.test_forest.test_sparse_input('RandomTreesEmbedding', array([[ 3., 1., 4., 0., 3., 0., 7., 2., 1., 0., 5., 3., 4., ... ok
sklearn.ensemble.tests.test_forest.test_sparse_input('RandomTreesEmbedding', array([[ 3., 1., 4., 0., 3., 0., 7., 2., 1., 0., 5., 3., 4., ... ok
sklearn.ensemble.tests.test_forest.test_sparse_input('RandomTreesEmbedding', array([[ 3., 1., 4., 0., 3., 0., 7., 2., 1., 0., 5., 3., 4., ... ok
sklearn.ensemble.tests.test_forest.test_sparse_input('ExtraTreesClassifier', array([[ 3., 1., 4., 0., 3., 0., 7., 2., 1., 0., 5., 3., 4., ... ok
sklearn.ensemble.tests.test_forest.test_sparse_input('ExtraTreesClassifier', array([[ 3., 1., 4., 0., 3., 0., 7., 2., 1., 0., 5., 3., 4., ... ok
sklearn.ensemble.tests.test_forest.test_sparse_input('ExtraTreesClassifier', array([[ 3., 1., 4., 0., 3., 0., 7., 2., 1., 0., 5., 3., 4., ... ok
sklearn.ensemble.tests.test_forest.test_sparse_input('RandomForestClassifier', array([[ 3., 1., 4., 0., 3., 0., 7., 2., 1., 0., 5., 3., 4., ... ok
sklearn.ensemble.tests.test_forest.test_sparse_input('RandomForestClassifier', array([[ 3., 1., 4., 0., 3., 0., 7., 2., 1., 0., 5., 3., 4., ... ok
sklearn.ensemble.tests.test_forest.test_sparse_input('RandomForestClassifier', array([[ 3., 1., 4., 0., 3., 0., 7., 2., 1., 0., 5., 3., 4., ... ok
sklearn.ensemble.tests.test_forest.test_memory_layout('ExtraTreesClassifier', <type 'numpy.float64'>) ... ok
sklearn.ensemble.tests.test_forest.test_memory_layout('ExtraTreesClassifier', <type 'numpy.float32'>) ... ok
sklearn.ensemble.tests.test_forest.test_memory_layout('RandomForestClassifier', <type 'numpy.float64'>) ... ok
sklearn.ensemble.tests.test_forest.test_memory_layout('RandomForestClassifier', <type 'numpy.float32'>) ... ok
sklearn.ensemble.tests.test_forest.test_memory_layout('ExtraTreesRegressor', <type 'numpy.float64'>) ... ok
sklearn.ensemble.tests.test_forest.test_memory_layout('ExtraTreesRegressor', <type 'numpy.float32'>) ... ok
sklearn.ensemble.tests.test_forest.test_memory_layout('RandomForestRegressor', <type 'numpy.float64'>) ... ok
sklearn.ensemble.tests.test_forest.test_memory_layout('RandomForestRegressor', <type 'numpy.float32'>) ... ok
sklearn.ensemble.tests.test_forest.test_class_weights('ExtraTreesClassifier',) ... ok
sklearn.ensemble.tests.test_forest.test_class_weights('RandomForestClassifier',) ... ok
sklearn.ensemble.tests.test_forest.test_class_weight_balanced_and_bootstrap_multi_output('ExtraTreesClassifier',) ... ok
sklearn.ensemble.tests.test_forest.test_class_weight_balanced_and_bootstrap_multi_output('RandomForestClassifier',) ... ok
sklearn.ensemble.tests.test_forest.test_class_weight_errors('ExtraTreesClassifier',) ... ok
sklearn.ensemble.tests.test_forest.test_class_weight_errors('RandomForestClassifier',) ... ok
sklearn.ensemble.tests.test_forest.test_warm_start('ExtraTreesRegressor',) ... ok
sklearn.ensemble.tests.test_forest.test_warm_start('RandomForestRegressor',) ... ok
sklearn.ensemble.tests.test_forest.test_warm_start('RandomTreesEmbedding',) ... ok
sklearn.ensemble.tests.test_forest.test_warm_start('ExtraTreesClassifier',) ... ok
sklearn.ensemble.tests.test_forest.test_warm_start('RandomForestClassifier',) ... ok
sklearn.ensemble.tests.test_forest.test_warm_start_clear('ExtraTreesRegressor',) ... ok
sklearn.ensemble.tests.test_forest.test_warm_start_clear('RandomForestRegressor',) ... ok
sklearn.ensemble.tests.test_forest.test_warm_start_clear('RandomTreesEmbedding',) ... ok
sklearn.ensemble.tests.test_forest.test_warm_start_clear('ExtraTreesClassifier',) ... ok
sklearn.ensemble.tests.test_forest.test_warm_start_clear('RandomForestClassifier',) ... ok
sklearn.ensemble.tests.test_forest.test_warm_start_smaller_n_estimators('ExtraTreesRegressor',) ... ok
sklearn.ensemble.tests.test_forest.test_warm_start_smaller_n_estimators('RandomForestRegressor',) ... ok
sklearn.ensemble.tests.test_forest.test_warm_start_smaller_n_estimators('RandomTreesEmbedding',) ... ok
sklearn.ensemble.tests.test_forest.test_warm_start_smaller_n_estimators('ExtraTreesClassifier',) ... ok
sklearn.ensemble.tests.test_forest.test_warm_start_smaller_n_estimators('RandomForestClassifier',) ... ok
sklearn.ensemble.tests.test_forest.test_warm_start_equal_n_estimators('ExtraTreesRegressor',) ... ok
sklearn.ensemble.tests.test_forest.test_warm_start_equal_n_estimators('RandomForestRegressor',) ... ok
sklearn.ensemble.tests.test_forest.test_warm_start_equal_n_estimators('RandomTreesEmbedding',) ... ok
sklearn.ensemble.tests.test_forest.test_warm_start_equal_n_estimators('ExtraTreesClassifier',) ... ok
sklearn.ensemble.tests.test_forest.test_warm_start_equal_n_estimators('RandomForestClassifier',) ... ok
sklearn.ensemble.tests.test_forest.test_warm_start_oob('ExtraTreesClassifier',) ... ok
sklearn.ensemble.tests.test_forest.test_warm_start_oob('RandomForestClassifier',) ... ok
sklearn.ensemble.tests.test_forest.test_warm_start_oob('ExtraTreesRegressor',) ... ok
sklearn.ensemble.tests.test_forest.test_warm_start_oob('RandomForestRegressor',) ... ok
sklearn.ensemble.tests.test_forest.test_dtype_convert ... ok
sklearn.ensemble.tests.test_forest.test_decision_path('ExtraTreesClassifier',) ... ok
sklearn.ensemble.tests.test_forest.test_decision_path('RandomForestClassifier',) ... ok
sklearn.ensemble.tests.test_forest.test_decision_path('ExtraTreesRegressor',) ... ok
sklearn.ensemble.tests.test_forest.test_decision_path('RandomForestRegressor',) ... ok
sklearn.ensemble.tests.test_forest.test_min_impurity_split ... ok
sklearn.ensemble.tests.test_forest.test_min_impurity_decrease ... ok
sklearn.ensemble.tests.test_gradient_boosting.test_classification_toy('auto', 'deviance') ... ok
sklearn.ensemble.tests.test_gradient_boosting.test_classification_toy('auto', 'exponential') ... ok
sklearn.ensemble.tests.test_gradient_boosting.test_classification_toy(True, 'deviance') ... ok
sklearn.ensemble.tests.test_gradient_boosting.test_classification_toy(True, 'exponential') ... ok
sklearn.ensemble.tests.test_gradient_boosting.test_classification_toy(False, 'deviance') ... ok
sklearn.ensemble.tests.test_gradient_boosting.test_classification_toy(False, 'exponential') ... ok
sklearn.ensemble.tests.test_gradient_boosting.test_parameter_checks ... ok
sklearn.ensemble.tests.test_gradient_boosting.test_loss_function ... ok
sklearn.ensemble.tests.test_gradient_boosting.test_classification_synthetic('auto', 'deviance') ... ok
sklearn.ensemble.tests.test_gradient_boosting.test_classification_synthetic('auto', 'exponential') ... ok
sklearn.ensemble.tests.test_gradient_boosting.test_classification_synthetic(True, 'deviance') ... ok
sklearn.ensemble.tests.test_gradient_boosting.test_classification_synthetic(True, 'exponential') ... ok
sklearn.ensemble.tests.test_gradient_boosting.test_classification_synthetic(False, 'deviance') ... ok
sklearn.ensemble.tests.test_gradient_boosting.test_classification_synthetic(False, 'exponential') ... ok
sklearn.ensemble.tests.test_gradient_boosting.test_boston('auto', 'ls', 1.0) ... ok
sklearn.ensemble.tests.test_gradient_boosting.test_boston('auto', 'ls', 0.5) ... ok
sklearn.ensemble.tests.test_gradient_boosting.test_boston('auto', 'lad', 1.0) ... ok
sklearn.ensemble.tests.test_gradient_boosting.test_boston('auto', 'lad', 0.5) ... ok
sklearn.ensemble.tests.test_gradient_boosting.test_boston('auto', 'huber', 1.0) ... ok
sklearn.ensemble.tests.test_gradient_boosting.test_boston('auto', 'huber', 0.5) ... ok
sklearn.ensemble.tests.test_gradient_boosting.test_boston(True, 'ls', 1.0) ... ok
sklearn.ensemble.tests.test_gradient_boosting.test_boston(True, 'ls', 0.5) ... ok
sklearn.ensemble.tests.test_gradient_boosting.test_boston(True, 'lad', 1.0) ... ok
sklearn.ensemble.tests.test_gradient_boosting.test_boston(True, 'lad', 0.5) ... ok
sklearn.ensemble.tests.test_gradient_boosting.test_boston(True, 'huber', 1.0) ... ok
sklearn.ensemble.tests.test_gradient_boosting.test_boston(True, 'huber', 0.5) ... ok
sklearn.ensemble.tests.test_gradient_boosting.test_boston(False, 'ls', 1.0) ... ok
sklearn.ensemble.tests.test_gradient_boosting.test_boston(False, 'ls', 0.5) ... ok
sklearn.ensemble.tests.test_gradient_boosting.test_boston(False, 'lad', 1.0) ... ok
sklearn.ensemble.tests.test_gradient_boosting.test_boston(False, 'lad', 0.5) ... ok
sklearn.ensemble.tests.test_gradient_boosting.test_boston(False, 'huber', 1.0) ... ok
sklearn.ensemble.tests.test_gradient_boosting.test_boston(False, 'huber', 0.5) ... ok
sklearn.ensemble.tests.test_gradient_boosting.test_iris('auto', 1.0, None) ... ok
sklearn.ensemble.tests.test_gradient_boosting.test_iris('auto', 1.0, array([1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., ... ok
sklearn.ensemble.tests.test_gradient_boosting.test_iris('auto', 0.5, None) ... ok
sklearn.ensemble.tests.test_gradient_boosting.test_iris('auto', 0.5, array([1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., ... ok
sklearn.ensemble.tests.test_gradient_boosting.test_iris(True, 1.0, None) ... ok
sklearn.ensemble.tests.test_gradient_boosting.test_iris(True, 1.0, array([1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., ... ok
sklearn.ensemble.tests.test_gradient_boosting.test_iris(True, 0.5, None) ... ok
sklearn.ensemble.tests.test_gradient_boosting.test_iris(True, 0.5, array([1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., ... ok
sklearn.ensemble.tests.test_gradient_boosting.test_iris(False, 1.0, None) ... ok
sklearn.ensemble.tests.test_gradient_boosting.test_iris(False, 1.0, array([1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., ... ok
sklearn.ensemble.tests.test_gradient_boosting.test_iris(False, 0.5, None) ... ok
sklearn.ensemble.tests.test_gradient_boosting.test_iris(False, 0.5, array([1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., ... ok
sklearn.ensemble.tests.test_gradient_boosting.test_regression_synthetic ... ok
sklearn.ensemble.tests.test_gradient_boosting.test_feature_importances ... ok
sklearn.ensemble.tests.test_gradient_boosting.test_probability_log ... ok
sklearn.ensemble.tests.test_gradient_boosting.test_check_inputs ... ok
sklearn.ensemble.tests.test_gradient_boosting.test_check_inputs_predict ... ok
sklearn.ensemble.tests.test_gradient_boosting.test_check_max_features ... ok
sklearn.ensemble.tests.test_gradient_boosting.test_max_feature_regression ... ok
sklearn.ensemble.tests.test_gradient_boosting.test_max_feature_auto ... ok
sklearn.ensemble.tests.test_gradient_boosting.test_staged_predict ... ok
sklearn.ensemble.tests.test_gradient_boosting.test_staged_predict_proba ... ok
sklearn.ensemble.tests.test_gradient_boosting.test_staged_functions_defensive ... ok
sklearn.ensemble.tests.test_gradient_boosting.test_serialization ... ok
sklearn.ensemble.tests.test_gradient_boosting.test_degenerate_targets ... ok
sklearn.ensemble.tests.test_gradient_boosting.test_quantile_loss ... ok
sklearn.ensemble.tests.test_gradient_boosting.test_symbol_labels ... ok
sklearn.ensemble.tests.test_gradient_boosting.test_float_class_labels ... ok
sklearn.ensemble.tests.test_gradient_boosting.test_shape_y ... ok
sklearn.ensemble.tests.test_gradient_boosting.test_mem_layout ... ok
sklearn.ensemble.tests.test_gradient_boosting.test_oob_improvement ... ok
sklearn.ensemble.tests.test_gradient_boosting.test_oob_improvement_raise ... ok
sklearn.ensemble.tests.test_gradient_boosting.test_oob_multilcass_iris ... ok
sklearn.ensemble.tests.test_gradient_boosting.test_verbose_output ... ok
sklearn.ensemble.tests.test_gradient_boosting.test_sparse_input ... SKIP: Test skipped on 32bit platforms.
sklearn.ensemble.tests.test_gradient_boosting.test_more_verbose_output ... ok
sklearn.ensemble.tests.test_gradient_boosting.test_warm_start ... ok
sklearn.ensemble.tests.test_gradient_boosting.test_warm_start_n_estimators ... ok
sklearn.ensemble.tests.test_gradient_boosting.test_warm_start_max_depth ... ok
sklearn.ensemble.tests.test_gradient_boosting.test_warm_start_clear ... ok
sklearn.ensemble.tests.test_gradient_boosting.test_warm_start_zero_n_estimators ... ok
sklearn.ensemble.tests.test_gradient_boosting.test_warm_start_smaller_n_estimators ... ok
sklearn.ensemble.tests.test_gradient_boosting.test_warm_start_equal_n_estimators ... ok
sklearn.ensemble.tests.test_gradient_boosting.test_warm_start_oob_switch ... ok
sklearn.ensemble.tests.test_gradient_boosting.test_warm_start_oob ... ok
sklearn.ensemble.tests.test_gradient_boosting.test_monitor_early_stopping ... ok
sklearn.ensemble.tests.test_gradient_boosting.test_complete_classification ... ok
sklearn.ensemble.tests.test_gradient_boosting.test_complete_regression ... ok
sklearn.ensemble.tests.test_gradient_boosting.test_zero_estimator_reg ... ok
sklearn.ensemble.tests.test_gradient_boosting.test_zero_estimator_clf ... ok
sklearn.ensemble.tests.test_gradient_boosting.test_max_leaf_nodes_max_depth ... ok
sklearn.ensemble.tests.test_gradient_boosting.test_min_impurity_split ... ok
sklearn.ensemble.tests.test_gradient_boosting.test_min_impurity_decrease ... ok
sklearn.ensemble.tests.test_gradient_boosting.test_warm_start_wo_nestimators_change ... ok
sklearn.ensemble.tests.test_gradient_boosting.test_probability_exponential ... ok
sklearn.ensemble.tests.test_gradient_boosting.test_non_uniform_weights_toy_edge_case_reg ... ok
sklearn.ensemble.tests.test_gradient_boosting.test_non_uniform_weights_toy_edge_case_clf ... ok
sklearn.ensemble.tests.test_gradient_boosting_loss_functions.test_binomial_deviance ... ok
sklearn.ensemble.tests.test_gradient_boosting_loss_functions.test_log_odds_estimator ... ok
sklearn.ensemble.tests.test_gradient_boosting_loss_functions.test_sample_weight_smoke ... ok
sklearn.ensemble.tests.test_gradient_boosting_loss_functions.test_sample_weight_init_estimators ... ok
sklearn.ensemble.tests.test_gradient_boosting_loss_functions.test_weighted_percentile ... ok
sklearn.ensemble.tests.test_gradient_boosting_loss_functions.test_weighted_percentile_equal ... ok
sklearn.ensemble.tests.test_gradient_boosting_loss_functions.test_weighted_percentile_zero_weight ... ok
sklearn.ensemble.tests.test_gradient_boosting_loss_functions.test_quantile_loss_function ... ok
sklearn.ensemble.tests.test_gradient_boosting_loss_functions.test_sample_weight_deviance ... ok
Check Isolation Forest for various parameter settings. ... ok
Check IForest for various parameter settings on sparse input. ... ok
Test that it gives proper exception on deficient input. ... ok
Check max_depth recalculation when max_samples is reset to n_samples ... ok
sklearn.ensemble.tests.test_iforest.test_max_samples_attribute ... ok
Check parallel regression. ... ok
Test Isolation Forest performs well ... ok
sklearn.ensemble.tests.test_iforest.test_iforest_works ... ok
sklearn.ensemble.tests.test_iforest.test_max_samples_consistency ... ok
sklearn.ensemble.tests.test_iforest.test_iforest_subsampled_features ... ok
sklearn.ensemble.tests.test_iforest.test_iforest_average_path_length ... ok
sklearn.ensemble.tests.test_partial_dependence.test_partial_dependence_classifier ... ok
sklearn.ensemble.tests.test_partial_dependence.test_partial_dependence_multiclass ... ok
sklearn.ensemble.tests.test_partial_dependence.test_partial_dependence_regressor ... ok
sklearn.ensemble.tests.test_partial_dependence.test_partial_dependecy_input ... ok
sklearn.ensemble.tests.test_partial_dependence.test_plot_partial_dependence ... ok
sklearn.ensemble.tests.test_partial_dependence.test_plot_partial_dependence_input ... ok
sklearn.ensemble.tests.test_partial_dependence.test_plot_partial_dependence_multiclass ... ok
sklearn.ensemble.tests.test_voting_classifier.test_estimator_init ... ok
sklearn.ensemble.tests.test_voting_classifier.test_predictproba_hardvoting ... ok
sklearn.ensemble.tests.test_voting_classifier.test_notfitted ... ok
Check classification by majority label on dataset iris. ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/preprocessing/label.py:151: DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty.
if diff:
ok
Check voting classifier selects smaller class label in tie situation. ... ok
Check classification by average probabilities on dataset iris. ... ok
Manually check predicted class labels for toy dataset. ... ok
Calculate predicted probabilities on toy dataset. ... /usr/lib/python2.7/dist-packages/scipy/special/_logsumexp.py:112: RuntimeWarning: underflow encountered in exp
tmp = np.exp(a - a_max)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/naive_bayes.py:104: RuntimeWarning: underflow encountered in exp
return np.exp(self.predict_log_proba(X))
ok
Check if error is raised for multilabel classification. ... ok
Check GridSearch support. ... /usr/lib/python2.7/dist-packages/numpy/lib/function_base.py:1160: RuntimeWarning: underflow encountered in multiply
avg = np.multiply(a, wgt, dtype=result_dtype).sum(axis)/scl
ok
Check parallel backend of VotingClassifier on toy dataset. ... ok
Tests sample_weight parameter of VotingClassifier ... ok
Check that VotingClassifier passes sample_weight as kwargs ... ok
set_params should be able to set estimators ... ok
VotingClassifier set_params should be able to set estimators as None ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/ensemble/voting_classifier.py:290: DeprecationWarning: 'flatten_transform' default value will be changed to True in 0.21.To silence this warning you may explicitly set flatten_transform=False.
DeprecationWarning)
ok
sklearn.ensemble.tests.test_voting_classifier.test_estimator_weights_format ... ok
Check transform method of VotingClassifier on toy dataset. ... /usr/lib/python2.7/dist-packages/scipy/special/_logsumexp.py:112: RuntimeWarning: underflow encountered in exp
tmp = np.exp(a - a_max)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/naive_bayes.py:104: RuntimeWarning: underflow encountered in exp
return np.exp(self.predict_log_proba(X))
ok
sklearn.ensemble.tests.test_weight_boosting.test_samme_proba ... ok
sklearn.ensemble.tests.test_weight_boosting.test_oneclass_adaboost_proba ... ok
sklearn.ensemble.tests.test_weight_boosting.test_classification_toy ... ok
sklearn.ensemble.tests.test_weight_boosting.test_regression_toy ... ok
sklearn.ensemble.tests.test_weight_boosting.test_iris ... ok
sklearn.ensemble.tests.test_weight_boosting.test_boston ... ok
sklearn.ensemble.tests.test_weight_boosting.test_staged_predict ... ok
sklearn.ensemble.tests.test_weight_boosting.test_gridsearch ... ok
sklearn.ensemble.tests.test_weight_boosting.test_pickle ... ok
sklearn.ensemble.tests.test_weight_boosting.test_importances ... ok
sklearn.ensemble.tests.test_weight_boosting.test_error ... ok
sklearn.ensemble.tests.test_weight_boosting.test_base_estimator ... ok
sklearn.ensemble.tests.test_weight_boosting.test_sample_weight_missing ... ok
sklearn.ensemble.tests.test_weight_boosting.test_sparse_classification ... ok
sklearn.ensemble.tests.test_weight_boosting.test_sparse_regression ... ok
AdaBoostRegressor should work without sample_weights in the base estimator ... ok
sklearn.feature_extraction.tests.test_dict_vectorizer.test_dictvectorizer ... ok
sklearn.feature_extraction.tests.test_dict_vectorizer.test_feature_selection ... ok
sklearn.feature_extraction.tests.test_dict_vectorizer.test_one_of_k ... ok
sklearn.feature_extraction.tests.test_dict_vectorizer.test_unseen_or_no_features ... ok
sklearn.feature_extraction.tests.test_dict_vectorizer.test_deterministic_vocabulary ... ok
sklearn.feature_extraction.tests.test_feature_hasher.test_feature_hasher_dicts ... ok
sklearn.feature_extraction.tests.test_feature_hasher.test_feature_hasher_pairs ... ok
sklearn.feature_extraction.tests.test_feature_hasher.test_feature_hasher_pairs_with_string_values ... ok
sklearn.feature_extraction.tests.test_feature_hasher.test_hash_empty_input ... ok
sklearn.feature_extraction.tests.test_feature_hasher.test_hasher_invalid_input ... ok
sklearn.feature_extraction.tests.test_feature_hasher.test_hasher_set_params ... ok
sklearn.feature_extraction.tests.test_feature_hasher.test_hasher_zeros ... ok
sklearn.feature_extraction.tests.test_feature_hasher.test_feature_hasher_strings ... ok
sklearn.feature_extraction.tests.test_feature_hasher.test_hash_collisions ... ok
sklearn.feature_extraction.tests.test_feature_hasher.test_hasher_alternate_sign ... ok
sklearn.feature_extraction.tests.test_feature_hasher.test_hasher_negative ... ok
sklearn.feature_extraction.tests.test_image.test_img_to_graph ... ok
sklearn.feature_extraction.tests.test_image.test_grid_to_graph ... ok
sklearn.feature_extraction.tests.test_image.test_connect_regions ... ok
sklearn.feature_extraction.tests.test_image.test_connect_regions_with_grid ... ok
sklearn.feature_extraction.tests.test_image.test_extract_patches_all ... ok
sklearn.feature_extraction.tests.test_image.test_extract_patches_all_color ... ok
sklearn.feature_extraction.tests.test_image.test_extract_patches_all_rect ... ok
sklearn.feature_extraction.tests.test_image.test_extract_patches_max_patches ... ok
sklearn.feature_extraction.tests.test_image.test_reconstruct_patches_perfect ... ok
sklearn.feature_extraction.tests.test_image.test_reconstruct_patches_perfect_color ... ok
sklearn.feature_extraction.tests.test_image.test_patch_extractor_fit ... ok
sklearn.feature_extraction.tests.test_image.test_patch_extractor_max_patches ... ok
sklearn.feature_extraction.tests.test_image.test_patch_extractor_max_patches_default ... ok
sklearn.feature_extraction.tests.test_image.test_patch_extractor_all_patches ... ok
sklearn.feature_extraction.tests.test_image.test_patch_extractor_color ... ok
sklearn.feature_extraction.tests.test_image.test_extract_patches_strided ... ok
sklearn.feature_extraction.tests.test_image.test_extract_patches_square ... ok
sklearn.feature_extraction.tests.test_image.test_width_patch ... ok
sklearn.feature_extraction.tests.test_text.test_strip_accents ... ok
sklearn.feature_extraction.tests.test_text.test_to_ascii ... ok
sklearn.feature_extraction.tests.test_text.test_word_analyzer_unigrams ... ok
sklearn.feature_extraction.tests.test_text.test_word_analyzer_unigrams_and_bigrams ... ok
sklearn.feature_extraction.tests.test_text.test_unicode_decode_error ... ok
sklearn.feature_extraction.tests.test_text.test_char_ngram_analyzer ... ok
sklearn.feature_extraction.tests.test_text.test_char_wb_ngram_analyzer ... ok
sklearn.feature_extraction.tests.test_text.test_word_ngram_analyzer ... ok
sklearn.feature_extraction.tests.test_text.test_countvectorizer_custom_vocabulary ... ok
sklearn.feature_extraction.tests.test_text.test_countvectorizer_custom_vocabulary_pipeline ... ok
sklearn.feature_extraction.tests.test_text.test_countvectorizer_custom_vocabulary_repeated_indeces ... ok
sklearn.feature_extraction.tests.test_text.test_countvectorizer_custom_vocabulary_gap_index ... ok
sklearn.feature_extraction.tests.test_text.test_hashed_binary_occurrences ... ok
sklearn.feature_extraction.tests.test_text.test_hashing_vectorizer ... ok
sklearn.feature_extraction.tests.test_text.test_vectorizer_unicode ... ok
sklearn.feature_extraction.tests.test_text.test_countvectorizer_stop_words ... ok
sklearn.feature_extraction.tests.test_text.test_countvectorizer_empty_vocabulary ... ok
sklearn.feature_extraction.tests.test_text.test_fit_countvectorizer_twice ... ok
sklearn.feature_extraction.tests.test_text.test_tf_idf_smoothing ... ok
sklearn.feature_extraction.tests.test_text.test_tfidf_no_smoothing ... SKIP: no warning gets issued on armel
sklearn.feature_extraction.tests.test_text.test_sublinear_tf ... ok
sklearn.feature_extraction.tests.test_text.test_vectorizer ... ok
sklearn.feature_extraction.tests.test_text.test_tfidf_vectorizer_setters ... ok
sklearn.feature_extraction.tests.test_text.test_feature_names ... ok
sklearn.feature_extraction.tests.test_text.test_vectorizer_max_features ... ok
sklearn.feature_extraction.tests.test_text.test_count_vectorizer_max_features ... ok
sklearn.feature_extraction.tests.test_text.test_vectorizer_max_df ... ok
sklearn.feature_extraction.tests.test_text.test_vectorizer_min_df ... ok
sklearn.feature_extraction.tests.test_text.test_count_binary_occurrences ... ok
sklearn.feature_extraction.tests.test_text.test_vectorizer_inverse_transform ... ok
sklearn.feature_extraction.tests.test_text.test_count_vectorizer_pipeline_grid_selection ... ok
sklearn.feature_extraction.tests.test_text.test_vectorizer_pipeline_grid_selection ... ok
sklearn.feature_extraction.tests.test_text.test_vectorizer_pipeline_cross_validation ... ok
sklearn.feature_extraction.tests.test_text.test_tfidf_vectorizer_with_fixed_vocabulary ... ok
sklearn.feature_extraction.tests.test_text.test_pickling_vectorizer ... ok
sklearn.feature_extraction.tests.test_text.test_countvectorizer_vocab_sets_when_pickling ... ok
sklearn.feature_extraction.tests.test_text.test_countvectorizer_vocab_dicts_when_pickling ... ok
sklearn.feature_extraction.tests.test_text.test_stop_words_removal ... ok
sklearn.feature_extraction.tests.test_text.test_pickling_transformer ... ok
sklearn.feature_extraction.tests.test_text.test_non_unique_vocab ... ok
sklearn.feature_extraction.tests.test_text.test_hashingvectorizer_nan_in_docs ... ok
sklearn.feature_extraction.tests.test_text.test_tfidfvectorizer_binary ... ok
sklearn.feature_extraction.tests.test_text.test_tfidfvectorizer_export_idf ... ok
sklearn.feature_extraction.tests.test_text.test_vectorizer_vocab_clone ... ok
sklearn.feature_extraction.tests.test_text.test_vectorizer_string_object_as_input ... ok
sklearn.feature_selection.tests.test_base.test_transform_dense ... ok
sklearn.feature_selection.tests.test_base.test_transform_sparse ... ok
sklearn.feature_selection.tests.test_base.test_inverse_transform_dense ... ok
sklearn.feature_selection.tests.test_base.test_inverse_transform_sparse ... ok
sklearn.feature_selection.tests.test_base.test_get_support ... ok
sklearn.feature_selection.tests.test_chi2.test_chi2 ... ok
sklearn.feature_selection.tests.test_chi2.test_chi2_coo ... ok
sklearn.feature_selection.tests.test_chi2.test_chi2_negative ... ok
sklearn.feature_selection.tests.test_chi2.test_chi2_unused_feature ... ok
sklearn.feature_selection.tests.test_chi2.test_chisquare ... ok
sklearn.feature_selection.tests.test_feature_select.test_f_oneway_vs_scipy_stats ... ok
sklearn.feature_selection.tests.test_feature_select.test_f_oneway_ints ... ok
sklearn.feature_selection.tests.test_feature_select.test_f_classif ... ok
sklearn.feature_selection.tests.test_feature_select.test_f_regression ... ok
sklearn.feature_selection.tests.test_feature_select.test_f_regression_input_dtype ... ok
sklearn.feature_selection.tests.test_feature_select.test_f_regression_center ... ok
sklearn.feature_selection.tests.test_feature_select.test_f_classif_multi_class ... ok
sklearn.feature_selection.tests.test_feature_select.test_select_percentile_classif ... ok
sklearn.feature_selection.tests.test_feature_select.test_select_percentile_classif_sparse ... ok
sklearn.feature_selection.tests.test_feature_select.test_select_kbest_classif ... ok
sklearn.feature_selection.tests.test_feature_select.test_select_kbest_all ... ok
sklearn.feature_selection.tests.test_feature_select.test_select_kbest_zero ... ok
sklearn.feature_selection.tests.test_feature_select.test_select_heuristics_classif ... ok
sklearn.feature_selection.tests.test_feature_select.test_select_percentile_regression ... ok
sklearn.feature_selection.tests.test_feature_select.test_select_percentile_regression_full ... ok
sklearn.feature_selection.tests.test_feature_select.test_invalid_percentile ... ok
sklearn.feature_selection.tests.test_feature_select.test_select_kbest_regression ... ok
sklearn.feature_selection.tests.test_feature_select.test_select_heuristics_regression ... ok
sklearn.feature_selection.tests.test_feature_select.test_boundary_case_ch2 ... ok
sklearn.feature_selection.tests.test_feature_select.test_select_fdr_regression ... ok
sklearn.feature_selection.tests.test_feature_select.test_select_fwe_regression ... ok
sklearn.feature_selection.tests.test_feature_select.test_selectkbest_tiebreaking ... ok
sklearn.feature_selection.tests.test_feature_select.test_selectpercentile_tiebreaking ... ok
sklearn.feature_selection.tests.test_feature_select.test_tied_pvalues ... ok
sklearn.feature_selection.tests.test_feature_select.test_scorefunc_multilabel ... ok
sklearn.feature_selection.tests.test_feature_select.test_tied_scores ... ok
sklearn.feature_selection.tests.test_feature_select.test_nans ... ok
sklearn.feature_selection.tests.test_feature_select.test_score_func_error ... ok
sklearn.feature_selection.tests.test_feature_select.test_invalid_k ... ok
sklearn.feature_selection.tests.test_feature_select.test_f_classif_constant_feature ... ok
sklearn.feature_selection.tests.test_feature_select.test_no_feature_selected ... ok
sklearn.feature_selection.tests.test_feature_select.test_mutual_info_classif ... ok
sklearn.feature_selection.tests.test_feature_select.test_mutual_info_regression ... ok
sklearn.feature_selection.tests.test_from_model.test_invalid_input ... ok
sklearn.feature_selection.tests.test_from_model.test_input_estimator_unchanged ... ok
sklearn.feature_selection.tests.test_from_model.test_feature_importances ... ok
sklearn.feature_selection.tests.test_from_model.test_sample_weight ... ok
sklearn.feature_selection.tests.test_from_model.test_coef_default_threshold ... ok
sklearn.feature_selection.tests.test_from_model.test_partial_fit ... ok
sklearn.feature_selection.tests.test_from_model.test_calling_fit_reinitializes ... ok
sklearn.feature_selection.tests.test_from_model.test_prefit ... ok
sklearn.feature_selection.tests.test_from_model.test_threshold_string ... ok
sklearn.feature_selection.tests.test_from_model.test_threshold_without_refitting ... ok
sklearn.feature_selection.tests.test_from_model.test_2d_coef ... SKIP: Test skipped on 32bit platforms.
sklearn.feature_selection.tests.test_mutual_info.test_compute_mi_dd ... ok
sklearn.feature_selection.tests.test_mutual_info.test_compute_mi_cc ... ok
sklearn.feature_selection.tests.test_mutual_info.test_compute_mi_cd ... ok
sklearn.feature_selection.tests.test_mutual_info.test_compute_mi_cd_unique_label ... ok
sklearn.feature_selection.tests.test_mutual_info.test_mutual_info_classif_discrete ... ok
sklearn.feature_selection.tests.test_mutual_info.test_mutual_info_regression ... ok
sklearn.feature_selection.tests.test_mutual_info.test_mutual_info_classif_mixed ... ok
sklearn.feature_selection.tests.test_mutual_info.test_mutual_info_options ... ok
sklearn.feature_selection.tests.test_rfe.test_rfe_features_importance ... ok
sklearn.feature_selection.tests.test_rfe.test_rfe ... ok
sklearn.feature_selection.tests.test_rfe.test_rfe_mockclassifier ... ok
sklearn.feature_selection.tests.test_rfe.test_rfecv ... ok
sklearn.feature_selection.tests.test_rfe.test_rfecv_mockclassifier ... ok
sklearn.feature_selection.tests.test_rfe.test_rfecv_verbose_output ... ok
sklearn.feature_selection.tests.test_rfe.test_rfe_estimator_tags ... ok
sklearn.feature_selection.tests.test_rfe.test_rfe_min_step ... ok
sklearn.feature_selection.tests.test_rfe.test_number_of_subsets_of_features ... ok
sklearn.feature_selection.tests.test_rfe.test_rfe_cv_n_jobs ... ok
sklearn.feature_selection.tests.test_variance_threshold.test_zero_variance ... ok
sklearn.feature_selection.tests.test_variance_threshold.test_variance_threshold ... ok
sklearn.gaussian_process.tests.test_gaussian_process.test_1d ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/deprecation.py:58: DeprecationWarning: Class GaussianProcess is deprecated; GaussianProcess was deprecated in version 0.18 and will be removed in 0.20. Use the GaussianProcessRegressor instead.
warnings.warn(msg, category=DeprecationWarning)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/deprecation.py:77: DeprecationWarning: Function l1_cross_distances is deprecated; l1_cross_distances was deprecated in version 0.18 and will be removed in 0.20.
warnings.warn(msg, category=DeprecationWarning)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/deprecation.py:77: DeprecationWarning: Function constant is deprecated; The function constant of regression_models is deprecated in version 0.19.1 and will be removed in 0.22.
warnings.warn(msg, category=DeprecationWarning)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/deprecation.py:77: DeprecationWarning: Function squared_exponential is deprecated; The function squared_exponential of correlation_models is deprecated in version 0.19.1 and will be removed in 0.22.
warnings.warn(msg, category=DeprecationWarning)
ok
sklearn.gaussian_process.tests.test_gaussian_process.test_2d ... ok
sklearn.gaussian_process.tests.test_gaussian_process.test_2d_2d ... ok
sklearn.gaussian_process.tests.test_gaussian_process.test_wrong_number_of_outputs ... ok
sklearn.gaussian_process.tests.test_gaussian_process.test_more_builtin_correlation_models ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/deprecation.py:77: DeprecationWarning: Function absolute_exponential is deprecated; The function absolute_exponential of correlation_models is deprecated in version 0.19.1 and will be removed in 0.22.
warnings.warn(msg, category=DeprecationWarning)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/deprecation.py:77: DeprecationWarning: Function cubic is deprecated; The function cubic of correlation_models is deprecated in version 0.19.1 and will be removed in 0.22.
warnings.warn(msg, category=DeprecationWarning)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/deprecation.py:77: DeprecationWarning: Function linear is deprecated; The function linear of correlation_models is deprecated in version 0.19.1 and will be removed in 0.22.
warnings.warn(msg, category=DeprecationWarning)
ok
sklearn.gaussian_process.tests.test_gaussian_process.test_ordinary_kriging ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/deprecation.py:77: DeprecationWarning: Function linear is deprecated; The function linear of regression_models is deprecated in version 0.19.1 and will be removed in 0.22.
warnings.warn(msg, category=DeprecationWarning)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/deprecation.py:77: DeprecationWarning: Function quadratic is deprecated; The function quadratic of regression_models is deprecated in version 0.19.1 and will be removed in 0.22.
warnings.warn(msg, category=DeprecationWarning)
ok
sklearn.gaussian_process.tests.test_gaussian_process.test_no_normalize ... ok
sklearn.gaussian_process.tests.test_gaussian_process.test_batch_size ... ok
sklearn.gaussian_process.tests.test_gaussian_process.test_random_starts ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/gaussian_process/correlation_models.py:102: RuntimeWarning: underflow encountered in exp
return np.exp(-np.sum(theta.reshape(1, n_features) * d ** 2, axis=1))
ok
sklearn.gaussian_process.tests.test_gaussian_process.test_mse_solving ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/datasets/samples_generator.py:1046: RuntimeWarning: underflow encountered in exp
np.exp(-1.0 * (singular_ind / effective_rank) ** 2))
ok
sklearn.gaussian_process.tests.test_gpc.test_predict_consistent ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/gaussian_process/kernels.py:1206: RuntimeWarning: underflow encountered in exp
K = np.exp(-.5 * dists)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/gaussian_process/kernels.py:1224: RuntimeWarning: underflow encountered in multiply
(K * squareform(dists))[:, :, np.newaxis]
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/gaussian_process/gpc.py:396: RuntimeWarning: underflow encountered in multiply
W_sr_K = W_sr[:, np.newaxis] * K
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/gaussian_process/gpc.py:397: RuntimeWarning: underflow encountered in multiply
B = np.eye(W.shape[0]) + W_sr_K * W_sr
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/gaussian_process/gpc.py:354: RuntimeWarning: underflow encountered in multiply
C = solve(L, W_sr[:, np.newaxis] * K) # Line 8
ok
sklearn.gaussian_process.tests.test_gpc.test_lml_improving ... ok
sklearn.gaussian_process.tests.test_gpc.test_lml_precomputed ... ok
sklearn.gaussian_process.tests.test_gpc.test_converged_to_local_maximum ... ok
sklearn.gaussian_process.tests.test_gpc.test_lml_gradient ... ok
sklearn.gaussian_process.tests.test_gpc.test_random_starts ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/gaussian_process/kernels.py:1230: RuntimeWarning: underflow encountered in multiply
K_gradient *= K[..., np.newaxis]
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/gaussian_process/kernels.py:756: RuntimeWarning: underflow encountered in multiply
K2_gradient * K1[:, :, np.newaxis]))
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/gaussian_process/gpc.py:353: RuntimeWarning: underflow encountered in multiply
R = W_sr[:, np.newaxis] * cho_solve((L, True), np.diag(W_sr)) # Line 7
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/gaussian_process/kernels.py:755: RuntimeWarning: underflow encountered in multiply
return K1 * K2, np.dstack((K1_gradient * K2[:, :, np.newaxis],
ok
sklearn.gaussian_process.tests.test_gpc.test_custom_optimizer ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/gaussian_process/kernels.py:758: RuntimeWarning: underflow encountered in multiply
return self.k1(X, Y) * self.k2(X, Y)
ok
sklearn.gaussian_process.tests.test_gpc.test_multi_class ... ok
sklearn.gaussian_process.tests.test_gpc.test_multi_class_n_jobs ... ok
sklearn.gaussian_process.tests.test_gpr.test_gpr_interpolation ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/gaussian_process/kernels.py:1216: RuntimeWarning: underflow encountered in exp
K = np.exp(-.5 * dists)
ok
sklearn.gaussian_process.tests.test_gpr.test_lml_improving ... ok
sklearn.gaussian_process.tests.test_gpr.test_lml_precomputed ... ok
sklearn.gaussian_process.tests.test_gpr.test_converged_to_local_maximum ... ok
sklearn.gaussian_process.tests.test_gpr.test_solution_inside_bounds ... ok
sklearn.gaussian_process.tests.test_gpr.test_lml_gradient ... ok
sklearn.gaussian_process.tests.test_gpr.test_prior ... ok
sklearn.gaussian_process.tests.test_gpr.test_sample_statistics ... ok
sklearn.gaussian_process.tests.test_gpr.test_no_optimizer ... ok
sklearn.gaussian_process.tests.test_gpr.test_predict_cov_vs_std ... ok
sklearn.gaussian_process.tests.test_gpr.test_anisotropic_kernel ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/gaussian_process/gpr.py:457: UserWarning: fmin_l_bfgs_b terminated abnormally with the state: {'warnflag': 2, 'task': 'ABNORMAL_TERMINATION_IN_LNSRCH', 'grad': array([-0.00015173, 0.00011681]), 'nit': 10, 'funcalls': 74}
" state: %s" % convergence_dict)
ok
sklearn.gaussian_process.tests.test_gpr.test_random_starts ... ok
sklearn.gaussian_process.tests.test_gpr.test_y_normalization ... ok
sklearn.gaussian_process.tests.test_gpr.test_y_multioutput ... ok
sklearn.gaussian_process.tests.test_gpr.test_custom_optimizer ... ok
sklearn.gaussian_process.tests.test_gpr.test_gpr_correct_error_message ... ok
sklearn.gaussian_process.tests.test_gpr.test_duplicate_input ... ok
sklearn.gaussian_process.tests.test_gpr.test_no_fit_default_predict ... ok
sklearn.gaussian_process.tests.test_kernels.test_kernel_gradient ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/gaussian_process/kernels.py:1362: RuntimeWarning: invalid value encountered in divide
/ np.sqrt(D.sum(2))[:, :, np.newaxis]
ok
sklearn.gaussian_process.tests.test_kernels.test_kernel_theta ... ok
sklearn.gaussian_process.tests.test_kernels.test_auto_vs_cross ... ok
sklearn.gaussian_process.tests.test_kernels.test_kernel_diag ... ok
sklearn.gaussian_process.tests.test_kernels.test_kernel_operator_commutative ... ok
sklearn.gaussian_process.tests.test_kernels.test_kernel_anisotropic ... ok
sklearn.gaussian_process.tests.test_kernels.test_kernel_stationary ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/metrics/pairwise.py:844: RuntimeWarning: underflow encountered in exp
np.exp(K, K) # exponentiate K in-place
ok
sklearn.gaussian_process.tests.test_kernels.test_kernel_clone(RBF(length_scale=43), RBF(length_scale=43)) ... ok
sklearn.gaussian_process.tests.test_kernels.test_kernel_clone(RBF(length_scale=43), RBF(length_scale=43)) ... ok
sklearn.gaussian_process.tests.test_kernels.test_kernel_clone(6.56**2, 6.56**2) ... ok
sklearn.gaussian_process.tests.test_kernels.test_kernel_clone(1.41**2 * RBF(length_scale=0.33), 1.41**2 * RBF(length_scale=0.33)) ... ok
sklearn.gaussian_process.tests.test_kernels.test_kernel_clone(1.41**2 * RBF(length_scale=0.5), 1.41**2 * RBF(length_scale=0.5)) ... ok
sklearn.gaussian_process.tests.test_kernels.test_kernel_clone(RBF(length_scale=2) + WhiteKernel(noise_level=3), RBF(length_scale=2) + WhiteKernel(noise_level=3)) ... ok
sklearn.gaussian_process.tests.test_kernels.test_kernel_clone(1.41**2 * RBF(length_scale=[0.5, 2]), 1.41**2 * RBF(length_scale=[0.5, 2])) ... ok
sklearn.gaussian_process.tests.test_kernels.test_kernel_clone(1.41**2 * Matern(length_scale=0.33, nu=1.5), 1.41**2 * Matern(length_scale=0.33, nu=1.5)) ... ok
sklearn.gaussian_process.tests.test_kernels.test_kernel_clone(1.41**2 * Matern(length_scale=0.5, nu=0.5), 1.41**2 * Matern(length_scale=0.5, nu=0.5)) ... ok
sklearn.gaussian_process.tests.test_kernels.test_kernel_clone(1.41**2 * Matern(length_scale=1.5, nu=1.5), 1.41**2 * Matern(length_scale=1.5, nu=1.5)) ... ok
sklearn.gaussian_process.tests.test_kernels.test_kernel_clone(1.41**2 * Matern(length_scale=2.5, nu=2.5), 1.41**2 * Matern(length_scale=2.5, nu=2.5)) ... ok
sklearn.gaussian_process.tests.test_kernels.test_kernel_clone(1.41**2 * Matern(length_scale=[0.5, 2], nu=0.5), 1.41**2 * Matern(length_scale=[0.5, 2], nu=0.5)) ... ok
sklearn.gaussian_process.tests.test_kernels.test_kernel_clone(1.73**2 * Matern(length_scale=[2, 0.5], nu=1.5), 1.73**2 * Matern(length_scale=[2, 0.5], nu=1.5)) ... ok
sklearn.gaussian_process.tests.test_kernels.test_kernel_clone(2**2 * Matern(length_scale=[0.5, 0.5], nu=2.5), 2**2 * Matern(length_scale=[0.5, 0.5], nu=2.5)) ... ok
sklearn.gaussian_process.tests.test_kernels.test_kernel_clone(RationalQuadratic(alpha=42, length_scale=43), RationalQuadratic(alpha=42, length_scale=43)) ... ok
sklearn.gaussian_process.tests.test_kernels.test_kernel_clone(ExpSineSquared(length_scale=42, periodicity=43), ExpSineSquared(length_scale=42, periodicity=43)) ... ok
sklearn.gaussian_process.tests.test_kernels.test_kernel_clone(DotProduct(sigma_0=43), DotProduct(sigma_0=43)) ... ok
sklearn.gaussian_process.tests.test_kernels.test_kernel_clone(DotProduct(sigma_0=2) ** 2, DotProduct(sigma_0=2) ** 2) ... ok
sklearn.gaussian_process.tests.test_kernels.test_kernel_clone(RBF(length_scale=43), RBF(length_scale=43)) ... ok
sklearn.gaussian_process.tests.test_kernels.test_kernel_clone(Matern(length_scale=43, nu=1.5), Matern(length_scale=43, nu=1.5)) ... ok
sklearn.gaussian_process.tests.test_kernels.test_kernel_clone(PairwiseKernel(gamma=43, metric=polynomial), PairwiseKernel(gamma=43, metric=polynomial)) ... ok
sklearn.gaussian_process.tests.test_kernels.test_kernel_clone(PairwiseKernel(gamma=43, metric=cosine), PairwiseKernel(gamma=43, metric=cosine)) ... ok
sklearn.gaussian_process.tests.test_kernels.test_kernel_clone(PairwiseKernel(gamma=43, metric=laplacian), PairwiseKernel(gamma=43, metric=laplacian)) ... ok
sklearn.gaussian_process.tests.test_kernels.test_kernel_clone(PairwiseKernel(gamma=43, metric=linear), PairwiseKernel(gamma=43, metric=linear)) ... ok
sklearn.gaussian_process.tests.test_kernels.test_kernel_clone(PairwiseKernel(gamma=43, metric=sigmoid), PairwiseKernel(gamma=43, metric=sigmoid)) ... ok
sklearn.gaussian_process.tests.test_kernels.test_kernel_clone(PairwiseKernel(gamma=43, metric=rbf), PairwiseKernel(gamma=43, metric=rbf)) ... ok
sklearn.gaussian_process.tests.test_kernels.test_kernel_clone(PairwiseKernel(gamma=43, metric=poly), PairwiseKernel(gamma=43, metric=poly)) ... ok
sklearn.gaussian_process.tests.test_kernels.test_kernel_clone_after_set_params(RBF(length_scale=[43, 43]), RBF(length_scale=[43, 43])) ... ok
sklearn.gaussian_process.tests.test_kernels.test_kernel_clone_after_set_params(RBF(length_scale=[43, 43]), RBF(length_scale=[43, 43])) ... ok
sklearn.gaussian_process.tests.test_kernels.test_kernel_clone_after_set_params(RBF(length_scale=[43, 43]), RBF(length_scale=[43, 43])) ... ok
sklearn.gaussian_process.tests.test_kernels.test_kernel_clone_after_set_params(Matern(length_scale=[43, 43], nu=1.5), Matern(length_scale=[43, 43], nu=1.5)) ... ok
sklearn.gaussian_process.tests.test_kernels.test_matern_kernel ... ok
sklearn.gaussian_process.tests.test_kernels.test_kernel_versus_pairwise ... ok
sklearn.gaussian_process.tests.test_kernels.test_set_get_params ... ok
sklearn.gaussian_process.tests.test_kernels.test_repr_kernels ... ok
sklearn.linear_model.tests.test_base.test_linear_regression ... ok
sklearn.linear_model.tests.test_base.test_linear_regression_sample_weights ... ok
sklearn.linear_model.tests.test_base.test_raises_value_error_if_sample_weights_greater_than_1d ... ok
sklearn.linear_model.tests.test_base.test_fit_intercept ... ok
sklearn.linear_model.tests.test_base.test_linear_regression_sparse ... ok
sklearn.linear_model.tests.test_base.test_linear_regression_multiple_outcome ... ok
sklearn.linear_model.tests.test_base.test_linear_regression_sparse_multiple_outcome ... ok
sklearn.linear_model.tests.test_base.test_preprocess_data ... ok
sklearn.linear_model.tests.test_base.test_preprocess_data_multioutput ... ok
sklearn.linear_model.tests.test_base.test_preprocess_data_weighted ... ok
sklearn.linear_model.tests.test_base.test_sparse_preprocess_data_with_return_mean ... ok
sklearn.linear_model.tests.test_base.test_deprecation_center_data ... ok
sklearn.linear_model.tests.test_base.test_csr_preprocess_data ... ok
sklearn.linear_model.tests.test_base.test_dtype_preprocess_data ... ok
sklearn.linear_model.tests.test_base.test_rescale_data ... ok
sklearn.linear_model.tests.test_bayes.test_bayesian_on_diabetes ... SKIP: XFailed Test
sklearn.linear_model.tests.test_bayes.test_bayesian_ridge_parameter ... ok
sklearn.linear_model.tests.test_bayes.test_toy_bayesian_ridge_object ... ok
sklearn.linear_model.tests.test_bayes.test_toy_ard_object ... ok
sklearn.linear_model.tests.test_bayes.test_return_std ... ok
sklearn.linear_model.tests.test_coordinate_descent.test_lasso_zero ... ok
sklearn.linear_model.tests.test_coordinate_descent.test_lasso_toy ... ok
sklearn.linear_model.tests.test_coordinate_descent.test_enet_toy ... ok
sklearn.linear_model.tests.test_coordinate_descent.test_lasso_cv ... ok
sklearn.linear_model.tests.test_coordinate_descent.test_lasso_cv_with_some_model_selection ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/model_selection/_split.py:605: Warning: The least populated class in y has only 1 members, which is too few. The minimum number of members in any class cannot be less than n_splits=5.
% (min_groups, self.n_splits)), Warning)
ok
sklearn.linear_model.tests.test_coordinate_descent.test_lasso_cv_positive_constraint ... ok
sklearn.linear_model.tests.test_coordinate_descent.test_lasso_path_return_models_vs_new_return_gives_same_coefficients ... ok
sklearn.linear_model.tests.test_coordinate_descent.test_enet_path ... ok
sklearn.linear_model.tests.test_coordinate_descent.test_path_parameters ... ok
sklearn.linear_model.tests.test_coordinate_descent.test_warm_start ... ok
sklearn.linear_model.tests.test_coordinate_descent.test_lasso_alpha_warning ... ok
sklearn.linear_model.tests.test_coordinate_descent.test_lasso_positive_constraint ... ok
sklearn.linear_model.tests.test_coordinate_descent.test_enet_positive_constraint ... ok
sklearn.linear_model.tests.test_coordinate_descent.test_enet_cv_positive_constraint ... ok
sklearn.linear_model.tests.test_coordinate_descent.test_uniform_targets ... ok
sklearn.linear_model.tests.test_coordinate_descent.test_multi_task_lasso_and_enet ... ok
sklearn.linear_model.tests.test_coordinate_descent.test_lasso_readonly_data ... ok
sklearn.linear_model.tests.test_coordinate_descent.test_multi_task_lasso_readonly_data ... ok
sklearn.linear_model.tests.test_coordinate_descent.test_enet_multitarget ... ok
sklearn.linear_model.tests.test_coordinate_descent.test_multioutput_enetcv_error ... ok
sklearn.linear_model.tests.test_coordinate_descent.test_multitask_enet_and_lasso_cv ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/linear_model/coordinate_descent.py:1778: ConvergenceWarning: Objective did not converge, you might want to increase the number of iterations
ConvergenceWarning)
ok
sklearn.linear_model.tests.test_coordinate_descent.test_1d_multioutput_enet_and_multitask_enet_cv ... ok
sklearn.linear_model.tests.test_coordinate_descent.test_1d_multioutput_lasso_and_multitask_lasso_cv ... ok
sklearn.linear_model.tests.test_coordinate_descent.test_sparse_input_dtype_enet_and_lassocv ... ok
sklearn.linear_model.tests.test_coordinate_descent.test_precompute_invalid_argument ... ok
sklearn.linear_model.tests.test_coordinate_descent.test_warm_start_convergence ... ok
sklearn.linear_model.tests.test_coordinate_descent.test_warm_start_convergence_with_regularizer_decrement ... ok
sklearn.linear_model.tests.test_coordinate_descent.test_random_descent ... ok
sklearn.linear_model.tests.test_coordinate_descent.test_enet_path_positive ... ok
sklearn.linear_model.tests.test_coordinate_descent.test_sparse_dense_descent_paths ... ok
sklearn.linear_model.tests.test_coordinate_descent.test_check_input_false ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/linear_model/coordinate_descent.py:491: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
ConvergenceWarning)
ok
sklearn.linear_model.tests.test_coordinate_descent.test_overrided_gram_matrix ... ok
sklearn.linear_model.tests.test_coordinate_descent.test_lasso_non_float_y ... ok
sklearn.linear_model.tests.test_coordinate_descent.test_enet_float_precision ... ok
sklearn.linear_model.tests.test_coordinate_descent.test_enet_l1_ratio ... ok
sklearn.linear_model.tests.test_huber.test_huber_equals_lr_for_high_epsilon ... ok
sklearn.linear_model.tests.test_huber.test_huber_max_iter ... ok
sklearn.linear_model.tests.test_huber.test_huber_gradient ... ok
sklearn.linear_model.tests.test_huber.test_huber_sample_weights ... ok
sklearn.linear_model.tests.test_huber.test_huber_sparse ... ok
sklearn.linear_model.tests.test_huber.test_huber_scaling_invariant ... ok
sklearn.linear_model.tests.test_huber.test_huber_and_sgd_same_results ... ok
sklearn.linear_model.tests.test_huber.test_huber_warm_start ... ok
sklearn.linear_model.tests.test_huber.test_huber_better_r2_score ... ok
sklearn.linear_model.tests.test_least_angle.test_simple ... ok
sklearn.linear_model.tests.test_least_angle.test_simple_precomputed ... ok
sklearn.linear_model.tests.test_least_angle.test_all_precomputed ... ok
sklearn.linear_model.tests.test_least_angle.test_lars_lstsq ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/linear_model/tests/test_least_angle.py:95: FutureWarning: `rcond` parameter will change to the default of machine precision times ``max(M, N)`` where M and N are the input matrix dimensions.
To use the future default and silence this warning we advise to pass `rcond=None`, to keep using the old, explicitly pass `rcond=-1`.
coef_lstsq = np.linalg.lstsq(X1, y)[0]
ok
sklearn.linear_model.tests.test_least_angle.test_lasso_gives_lstsq_solution ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/linear_model/tests/test_least_angle.py:103: FutureWarning: `rcond` parameter will change to the default of machine precision times ``max(M, N)`` where M and N are the input matrix dimensions.
To use the future default and silence this warning we advise to pass `rcond=None`, to keep using the old, explicitly pass `rcond=-1`.
coef_lstsq = np.linalg.lstsq(X, y)[0]
ok
sklearn.linear_model.tests.test_least_angle.test_collinearity ... ok
sklearn.linear_model.tests.test_least_angle.test_no_path ... ok
sklearn.linear_model.tests.test_least_angle.test_no_path_precomputed ... ok
sklearn.linear_model.tests.test_least_angle.test_no_path_all_precomputed ... ok
sklearn.linear_model.tests.test_least_angle.test_lars_precompute ... ok
sklearn.linear_model.tests.test_least_angle.test_singular_matrix ... ok
sklearn.linear_model.tests.test_least_angle.test_rank_deficient_design ... ok
sklearn.linear_model.tests.test_least_angle.test_lasso_lars_vs_lasso_cd ... ok
sklearn.linear_model.tests.test_least_angle.test_lasso_lars_vs_lasso_cd_early_stopping ... ok
sklearn.linear_model.tests.test_least_angle.test_multitarget ... ok
sklearn.linear_model.tests.test_least_angle.test_lasso_lars_path_length ... ok
sklearn.linear_model.tests.test_least_angle.test_lasso_lars_vs_lasso_cd_ill_conditioned ... ok
sklearn.linear_model.tests.test_least_angle.test_lasso_lars_vs_lasso_cd_ill_conditioned2 ... ok
sklearn.linear_model.tests.test_least_angle.test_lars_add_features ... ok
sklearn.linear_model.tests.test_least_angle.test_lars_n_nonzero_coefs ... ok
sklearn.linear_model.tests.test_least_angle.test_lars_cv ... ok
sklearn.linear_model.tests.test_least_angle.test_lars_cv_max_iter ... ok
sklearn.linear_model.tests.test_least_angle.test_lasso_lars_ic ... ok
sklearn.linear_model.tests.test_least_angle.test_lars_path_readonly_data ... ok
sklearn.linear_model.tests.test_least_angle.test_lars_path_positive_constraint ... ok
sklearn.linear_model.tests.test_least_angle.test_estimatorclasses_positive_constraint ... ok
sklearn.linear_model.tests.test_least_angle.test_lasso_lars_vs_lasso_cd_positive ... ok
sklearn.linear_model.tests.test_least_angle.test_lasso_lars_vs_R_implementation ... ok
sklearn.linear_model.tests.test_logistic.test_predict_2_classes ... ok
sklearn.linear_model.tests.test_logistic.test_error ... ok
sklearn.linear_model.tests.test_logistic.test_lr_liblinear_warning ... ok
sklearn.linear_model.tests.test_logistic.test_predict_3_classes ... ok
sklearn.linear_model.tests.test_logistic.test_predict_iris ... ok
sklearn.linear_model.tests.test_logistic.test_multinomial_validation ... ok
sklearn.linear_model.tests.test_logistic.test_check_solver_option ... ok
sklearn.linear_model.tests.test_logistic.test_multinomial_binary ... ok
sklearn.linear_model.tests.test_logistic.test_sparsify ... ok
sklearn.linear_model.tests.test_logistic.test_inconsistent_input ... ok
sklearn.linear_model.tests.test_logistic.test_write_parameters ... ok
sklearn.linear_model.tests.test_logistic.test_nan ... ok
sklearn.linear_model.tests.test_logistic.test_consistency_path ... ok
sklearn.linear_model.tests.test_logistic.test_max_iter ... ok
sklearn.linear_model.tests.test_logistic.test_liblinear_dual_random_state ... ok
sklearn.linear_model.tests.test_logistic.test_logistic_loss_and_grad ... ok
sklearn.linear_model.tests.test_logistic.test_logistic_grad_hess ... ok
sklearn.linear_model.tests.test_logistic.test_logistic_cv ... ok
sklearn.linear_model.tests.test_logistic.test_multinomial_logistic_regression_string_inputs ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/preprocessing/label.py:151: DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty.
if diff:
ok
sklearn.linear_model.tests.test_logistic.test_logistic_cv_sparse ... ok
sklearn.linear_model.tests.test_logistic.test_intercept_logistic_helper ... ok
sklearn.linear_model.tests.test_logistic.test_ovr_multinomial_iris ... ok
sklearn.linear_model.tests.test_logistic.test_logistic_regression_solvers ... ok
sklearn.linear_model.tests.test_logistic.test_logistic_regression_solvers_multiclass ... ok
sklearn.linear_model.tests.test_logistic.test_logistic_regressioncv_class_weights ... ok
sklearn.linear_model.tests.test_logistic.test_logistic_regression_sample_weights ... ok
sklearn.linear_model.tests.test_logistic.test_logistic_regression_class_weights ... ok
sklearn.linear_model.tests.test_logistic.test_logistic_regression_convergence_warnings ... iter 1 act 8.747e+00 pre 7.841e+00 delta 1.521e+00 f 1.386e+01 |g| 1.607e+01 CG 3
iter 2 act 9.618e-01 pre 8.065e-01 delta 1.521e+00 f 5.116e+00 |g| 3.834e+00 CG 2
ok
sklearn.linear_model.tests.test_logistic.test_logistic_regression_multinomial ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/linear_model/sag.py:326: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
"the coef_ did not converge", ConvergenceWarning)
ok
sklearn.linear_model.tests.test_logistic.test_multinomial_grad_hess ... ok
sklearn.linear_model.tests.test_logistic.test_liblinear_decision_function_zero ... ok
sklearn.linear_model.tests.test_logistic.test_liblinear_logregcv_sparse ... ok
sklearn.linear_model.tests.test_logistic.test_saga_sparse ... ok
sklearn.linear_model.tests.test_logistic.test_logreg_intercept_scaling ... ok
sklearn.linear_model.tests.test_logistic.test_logreg_intercept_scaling_zero ... ok
sklearn.linear_model.tests.test_logistic.test_logreg_l1 ... ok
sklearn.linear_model.tests.test_logistic.test_logreg_l1_sparse_data ... ok
sklearn.linear_model.tests.test_logistic.test_logreg_cv_penalty ... ok
sklearn.linear_model.tests.test_logistic.test_logreg_predict_proba_multinomial ... ok
sklearn.linear_model.tests.test_logistic.test_n_iter ... ok
sklearn.linear_model.tests.test_logistic.test_warm_start ... ok
sklearn.linear_model.tests.test_logistic.test_saga_vs_liblinear ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/linear_model/sag.py:326: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
"the coef_ did not converge", ConvergenceWarning)
ok
sklearn.linear_model.tests.test_logistic.test_dtype_match ... SKIP
sklearn.linear_model.tests.test_omp.test_correct_shapes ... ok
sklearn.linear_model.tests.test_omp.test_correct_shapes_gram ... ok
sklearn.linear_model.tests.test_omp.test_n_nonzero_coefs ... ok
sklearn.linear_model.tests.test_omp.test_tol ... ok
sklearn.linear_model.tests.test_omp.test_with_without_gram ... ok
sklearn.linear_model.tests.test_omp.test_with_without_gram_tol ... ok
sklearn.linear_model.tests.test_omp.test_unreachable_accuracy ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/linear_model/omp.py:385: RuntimeWarning: Orthogonal matching pursuit ended prematurely due to linear
dependence in the dictionary. The requested precision might not have been met.
copy_X=copy_X, return_path=return_path)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/linear_model/omp.py:374: RuntimeWarning: Orthogonal matching pursuit ended prematurely due to linear
dependence in the dictionary. The requested precision might not have been met.
return_path=return_path)
ok
sklearn.linear_model.tests.test_omp.test_bad_input ... ok
sklearn.linear_model.tests.test_omp.test_perfect_signal_recovery ... ok
sklearn.linear_model.tests.test_omp.test_estimator ... ok
sklearn.linear_model.tests.test_omp.test_identical_regressors ... ok
sklearn.linear_model.tests.test_omp.test_swapped_regressors ... ok
sklearn.linear_model.tests.test_omp.test_no_atoms ... ok
sklearn.linear_model.tests.test_omp.test_omp_path ... ok
sklearn.linear_model.tests.test_omp.test_omp_return_path_prop_with_gram ... ok
sklearn.linear_model.tests.test_omp.test_omp_cv ... ok
sklearn.linear_model.tests.test_omp.test_omp_reaches_least_squares ... ok
sklearn.linear_model.tests.test_passive_aggressive.test_classifier_accuracy ... ok
sklearn.linear_model.tests.test_passive_aggressive.test_classifier_partial_fit ... ok
sklearn.linear_model.tests.test_passive_aggressive.test_classifier_refit ... ok
sklearn.linear_model.tests.test_passive_aggressive.test_classifier_correctness ... ok
sklearn.linear_model.tests.test_passive_aggressive.test_classifier_undefined_methods ... ok
sklearn.linear_model.tests.test_passive_aggressive.test_class_weights ... ok
sklearn.linear_model.tests.test_passive_aggressive.test_partial_fit_weight_class_balanced ... ok
sklearn.linear_model.tests.test_passive_aggressive.test_equal_class_weight ... ok
sklearn.linear_model.tests.test_passive_aggressive.test_wrong_class_weight_label ... ok
sklearn.linear_model.tests.test_passive_aggressive.test_wrong_class_weight_format ... ok
sklearn.linear_model.tests.test_passive_aggressive.test_regressor_mse ... ok
sklearn.linear_model.tests.test_passive_aggressive.test_regressor_partial_fit ... ok
sklearn.linear_model.tests.test_passive_aggressive.test_regressor_correctness ... ok
sklearn.linear_model.tests.test_passive_aggressive.test_regressor_undefined_methods ... ok
sklearn.linear_model.tests.test_perceptron.test_perceptron_accuracy ... ok
sklearn.linear_model.tests.test_perceptron.test_perceptron_correctness ... ok
sklearn.linear_model.tests.test_perceptron.test_undefined_methods ... ok
sklearn.linear_model.tests.test_randomized_l1.test_randomized_lasso_precompute ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/deprecation.py:58: DeprecationWarning: Class RandomizedLasso is deprecated; The class RandomizedLasso is deprecated in 0.19 and will be removed in 0.21.
warnings.warn(msg, category=DeprecationWarning)
ok
sklearn.linear_model.tests.test_randomized_l1.test_warning_raised ... ok
sklearn.linear_model.tests.test_randomized_l1.test_lasso_stability_path ... ok
sklearn.linear_model.tests.test_randomized_l1.test_randomized_lasso ... ok
sklearn.linear_model.tests.test_randomized_l1.test_randomized_lasso_error_memory ... ok
sklearn.linear_model.tests.test_randomized_l1.test_randomized_logistic ... ok
sklearn.linear_model.tests.test_randomized_l1.test_randomized_logistic_sparse ... ok
sklearn.linear_model.tests.test_ransac.test_ransac_inliers_outliers ... ok
sklearn.linear_model.tests.test_ransac.test_ransac_is_data_valid ... ok
sklearn.linear_model.tests.test_ransac.test_ransac_is_model_valid ... ok
sklearn.linear_model.tests.test_ransac.test_ransac_max_trials ... ok
sklearn.linear_model.tests.test_ransac.test_ransac_stop_n_inliers ... ok
sklearn.linear_model.tests.test_ransac.test_ransac_stop_score ... ok
sklearn.linear_model.tests.test_ransac.test_ransac_score ... ok
sklearn.linear_model.tests.test_ransac.test_ransac_predict ... ok
sklearn.linear_model.tests.test_ransac.test_ransac_resid_thresh_no_inliers ... ok
sklearn.linear_model.tests.test_ransac.test_ransac_no_valid_data ... ok
sklearn.linear_model.tests.test_ransac.test_ransac_no_valid_model ... ok
sklearn.linear_model.tests.test_ransac.test_ransac_exceed_max_skips ... ok
sklearn.linear_model.tests.test_ransac.test_ransac_warn_exceed_max_skips ... ok
sklearn.linear_model.tests.test_ransac.test_ransac_sparse_coo ... ok
sklearn.linear_model.tests.test_ransac.test_ransac_sparse_csr ... ok
sklearn.linear_model.tests.test_ransac.test_ransac_sparse_csc ... ok
sklearn.linear_model.tests.test_ransac.test_ransac_none_estimator ... ok
sklearn.linear_model.tests.test_ransac.test_ransac_min_n_samples ... ok
sklearn.linear_model.tests.test_ransac.test_ransac_multi_dimensional_targets ... ok
sklearn.linear_model.tests.test_ransac.test_ransac_residual_metric ... ok
sklearn.linear_model.tests.test_ransac.test_ransac_residual_loss ... ok
sklearn.linear_model.tests.test_ransac.test_ransac_default_residual_threshold ... ok
sklearn.linear_model.tests.test_ransac.test_ransac_dynamic_max_trials ... ok
sklearn.linear_model.tests.test_ransac.test_ransac_fit_sample_weight ... ok
sklearn.linear_model.tests.test_ridge.test_ridge ... <string>:2: DeprecationWarning: scipy.sparse.linalg.cg called without specifying `atol`. The default value will be changed in a future release. For compatibility, specify a value for `atol` explicitly, e.g., ``cg(..., atol=0)``, or to retain the old behavior ``cg(..., atol='legacy')``
ok
sklearn.linear_model.tests.test_ridge.test_primal_dual_relationship ... ok
sklearn.linear_model.tests.test_ridge.test_ridge_singular ... ok
sklearn.linear_model.tests.test_ridge.test_ridge_regression_sample_weights ... ok
sklearn.linear_model.tests.test_ridge.test_ridge_sample_weights ... ok
sklearn.linear_model.tests.test_ridge.test_ridge_shapes ... ok
sklearn.linear_model.tests.test_ridge.test_ridge_intercept ... ok
sklearn.linear_model.tests.test_ridge.test_toy_ridge_object ... ok
sklearn.linear_model.tests.test_ridge.test_ridge_vs_lstsq ... ok
sklearn.linear_model.tests.test_ridge.test_ridge_individual_penalties ... ok
sklearn.linear_model.tests.test_ridge.test_n_iter ... ok
sklearn.linear_model.tests.test_ridge.test_dense_sparse(<function _test_ridge_loo at 0xf2c674f0>,) ... ok
sklearn.linear_model.tests.test_ridge.test_dense_sparse(<function _test_ridge_cv at 0xf2c67570>,) ... ok
sklearn.linear_model.tests.test_ridge.test_dense_sparse(<function _test_ridge_cv_normalize at 0xf2c67530>,) ... ok
sklearn.linear_model.tests.test_ridge.test_dense_sparse(<function _test_ridge_diabetes at 0xf2c675b0>,) ... ok
sklearn.linear_model.tests.test_ridge.test_dense_sparse(<function _test_multi_ridge_diabetes at 0xf2c675f0>,) ... ok
sklearn.linear_model.tests.test_ridge.test_dense_sparse(<function _test_ridge_classifiers at 0xf2c67630>,) ... ok
sklearn.linear_model.tests.test_ridge.test_dense_sparse(<function _test_tolerance at 0xf2c67670>,) ... ok
sklearn.linear_model.tests.test_ridge.test_ridge_cv_sparse_svd ... ok
sklearn.linear_model.tests.test_ridge.test_ridge_sparse_svd ... ok
sklearn.linear_model.tests.test_ridge.test_class_weights ... ok
Check class_weights resemble sample_weights behavior. ... ok
sklearn.linear_model.tests.test_ridge.test_class_weights_cv ... ok
sklearn.linear_model.tests.test_ridge.test_ridgecv_store_cv_values ... ok
sklearn.linear_model.tests.test_ridge.test_ridgecv_sample_weight ... ok
sklearn.linear_model.tests.test_ridge.test_raises_value_error_if_sample_weights_greater_than_1d ... ok
sklearn.linear_model.tests.test_ridge.test_sparse_design_with_sample_weights ... ok
sklearn.linear_model.tests.test_ridge.test_raises_value_error_if_solver_not_supported ... ok
sklearn.linear_model.tests.test_ridge.test_sparse_cg_max_iter ... ok
sklearn.linear_model.tests.test_ridge.test_ridge_fit_intercept_sparse ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/linear_model/ridge.py:319: UserWarning: In Ridge, only 'sag' solver can currently fit the intercept when X is sparse. Solver has been automatically changed into 'sag'.
warnings.warn("In Ridge, only 'sag' solver can currently fit the "
ok
sklearn.linear_model.tests.test_ridge.test_errors_and_values_helper ... ok
sklearn.linear_model.tests.test_ridge.test_errors_and_values_svd_helper ... ok
sklearn.linear_model.tests.test_ridge.test_ridge_classifier_no_support_multilabel ... ok
sklearn.linear_model.tests.test_ridge.test_dtype_match ... ok
sklearn.linear_model.tests.test_ridge.test_dtype_match_cholesky ... ok
tests binary classifier with classweights for each class ... ok
sklearn.linear_model.tests.test_sag.test_classifier_matching ... ok
tests if classifier results match target ... ok
sklearn.linear_model.tests.test_sag.test_get_auto_step_size ... ok
tests multiclass with classweights for each class ... ok
sklearn.linear_model.tests.test_sag.test_regressor_matching ... ok
tests if the binary classifier is computed correctly ... ok
tests if the multiclass classifier is computed correctly ... ok
tests if the sag pobj matches log reg ... ok
tests if the sag pobj matches ridge reg ... ok
tests if the sag regressor performs well ... ok
tests if the sag regressor is computed correctly ... ok
tests if ValueError is thrown with only one class ... ok
sklearn.linear_model.tests.test_sag.test_step_size_alpha_error ... ok
sklearn.linear_model.tests.test_sag.test_multinomial_loss ... ok
sklearn.linear_model.tests.test_sag.test_multinomial_loss_ground_truth ... ok
test_argument_coef (sklearn.linear_model.tests.test_sgd.DenseSGDClassifierTestCase) ... ok
test_average_binary_computed_correctly (sklearn.linear_model.tests.test_sgd.DenseSGDClassifierTestCase) ... ok
test_balanced_weight (sklearn.linear_model.tests.test_sgd.DenseSGDClassifierTestCase) ... ok
test_class_weights (sklearn.linear_model.tests.test_sgd.DenseSGDClassifierTestCase) ... ok
test_clone (sklearn.linear_model.tests.test_sgd.DenseSGDClassifierTestCase) ... ok
test_equal_class_weight (sklearn.linear_model.tests.test_sgd.DenseSGDClassifierTestCase) ... ok
test_fit_then_partial_fit (sklearn.linear_model.tests.test_sgd.DenseSGDClassifierTestCase) ... ok
test_input_format (sklearn.linear_model.tests.test_sgd.DenseSGDClassifierTestCase) ... ok
test_late_onset_averaging_not_reached (sklearn.linear_model.tests.test_sgd.DenseSGDClassifierTestCase) ... ok
test_late_onset_averaging_reached (sklearn.linear_model.tests.test_sgd.DenseSGDClassifierTestCase) ... ok
test_multiple_fit (sklearn.linear_model.tests.test_sgd.DenseSGDClassifierTestCase) ... ok
test_partial_fit_binary (sklearn.linear_model.tests.test_sgd.DenseSGDClassifierTestCase) ... ok
test_partial_fit_equal_fit_constant (sklearn.linear_model.tests.test_sgd.DenseSGDClassifierTestCase) ... ok
test_partial_fit_equal_fit_invscaling (sklearn.linear_model.tests.test_sgd.DenseSGDClassifierTestCase) ... ok
test_partial_fit_equal_fit_optimal (sklearn.linear_model.tests.test_sgd.DenseSGDClassifierTestCase) ... ok
test_partial_fit_exception (sklearn.linear_model.tests.test_sgd.DenseSGDClassifierTestCase) ... ok
test_partial_fit_multiclass (sklearn.linear_model.tests.test_sgd.DenseSGDClassifierTestCase) ... ok
test_partial_fit_multiclass_average (sklearn.linear_model.tests.test_sgd.DenseSGDClassifierTestCase) ... ok
test_partial_fit_weight_class_balanced (sklearn.linear_model.tests.test_sgd.DenseSGDClassifierTestCase) ... ok
test_plain_has_no_average_attr (sklearn.linear_model.tests.test_sgd.DenseSGDClassifierTestCase) ... ok
test_provide_coef (sklearn.linear_model.tests.test_sgd.DenseSGDClassifierTestCase) ... ok
test_regression_losses (sklearn.linear_model.tests.test_sgd.DenseSGDClassifierTestCase) ... ok
test_sample_weights (sklearn.linear_model.tests.test_sgd.DenseSGDClassifierTestCase) ... ok
test_set_coef_multiclass (sklearn.linear_model.tests.test_sgd.DenseSGDClassifierTestCase) ... ok
test_set_intercept (sklearn.linear_model.tests.test_sgd.DenseSGDClassifierTestCase) ... ok
test_set_intercept_binary (sklearn.linear_model.tests.test_sgd.DenseSGDClassifierTestCase) ... ok
test_set_intercept_to_intercept (sklearn.linear_model.tests.test_sgd.DenseSGDClassifierTestCase) ... ok
test_sgd (sklearn.linear_model.tests.test_sgd.DenseSGDClassifierTestCase) ... ok
test_sgd_at_least_two_labels (sklearn.linear_model.tests.test_sgd.DenseSGDClassifierTestCase) ... ok
test_sgd_bad_alpha (sklearn.linear_model.tests.test_sgd.DenseSGDClassifierTestCase) ... ok
test_sgd_bad_alpha_for_optimal_learning_rate (sklearn.linear_model.tests.test_sgd.DenseSGDClassifierTestCase) ... ok
test_sgd_bad_eta0 (sklearn.linear_model.tests.test_sgd.DenseSGDClassifierTestCase) ... ok
test_sgd_bad_l1_ratio (sklearn.linear_model.tests.test_sgd.DenseSGDClassifierTestCase) ... ok
test_sgd_bad_learning_rate_schedule (sklearn.linear_model.tests.test_sgd.DenseSGDClassifierTestCase) ... ok
test_sgd_bad_loss (sklearn.linear_model.tests.test_sgd.DenseSGDClassifierTestCase) ... ok
test_sgd_bad_penalty (sklearn.linear_model.tests.test_sgd.DenseSGDClassifierTestCase) ... ok
test_sgd_l1 (sklearn.linear_model.tests.test_sgd.DenseSGDClassifierTestCase) ... ok
test_sgd_max_iter_param (sklearn.linear_model.tests.test_sgd.DenseSGDClassifierTestCase) ... ok
test_sgd_multiclass (sklearn.linear_model.tests.test_sgd.DenseSGDClassifierTestCase) ... ok
test_sgd_multiclass_average (sklearn.linear_model.tests.test_sgd.DenseSGDClassifierTestCase) ... ok
test_sgd_multiclass_njobs (sklearn.linear_model.tests.test_sgd.DenseSGDClassifierTestCase) ... ok
test_sgd_multiclass_with_init_coef (sklearn.linear_model.tests.test_sgd.DenseSGDClassifierTestCase) ... ok
test_sgd_proba (sklearn.linear_model.tests.test_sgd.DenseSGDClassifierTestCase) ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/linear_model/stochastic_gradient.py:904: RuntimeWarning: divide by zero encountered in log
return np.log(self.predict_proba(X))
ok
test_sgd_shuffle_param (sklearn.linear_model.tests.test_sgd.DenseSGDClassifierTestCase) ... ok
test_warm_start_constant (sklearn.linear_model.tests.test_sgd.DenseSGDClassifierTestCase) ... ok
test_warm_start_invscaling (sklearn.linear_model.tests.test_sgd.DenseSGDClassifierTestCase) ... ok
test_warm_start_multiclass (sklearn.linear_model.tests.test_sgd.DenseSGDClassifierTestCase) ... ok
test_warm_start_optimal (sklearn.linear_model.tests.test_sgd.DenseSGDClassifierTestCase) ... ok
test_weights_multiplied (sklearn.linear_model.tests.test_sgd.DenseSGDClassifierTestCase) ... ok
test_wrong_class_weight_format (sklearn.linear_model.tests.test_sgd.DenseSGDClassifierTestCase) ... ok
test_wrong_class_weight_label (sklearn.linear_model.tests.test_sgd.DenseSGDClassifierTestCase) ... ok
test_wrong_sample_weights (sklearn.linear_model.tests.test_sgd.DenseSGDClassifierTestCase) ... ok
test_average_sparse (sklearn.linear_model.tests.test_sgd.DenseSGDRegressorTestCase) ... ok
test_clone (sklearn.linear_model.tests.test_sgd.DenseSGDRegressorTestCase) ... ok
test_elasticnet_convergence (sklearn.linear_model.tests.test_sgd.DenseSGDRegressorTestCase) ... ok
test_input_format (sklearn.linear_model.tests.test_sgd.DenseSGDRegressorTestCase) ... ok
test_late_onset_averaging_not_reached (sklearn.linear_model.tests.test_sgd.DenseSGDRegressorTestCase) ... ok
test_late_onset_averaging_reached (sklearn.linear_model.tests.test_sgd.DenseSGDRegressorTestCase) ... ok
test_loss_function_epsilon (sklearn.linear_model.tests.test_sgd.DenseSGDRegressorTestCase) ... ok
test_partial_fit (sklearn.linear_model.tests.test_sgd.DenseSGDRegressorTestCase) ... ok
test_partial_fit_equal_fit_constant (sklearn.linear_model.tests.test_sgd.DenseSGDRegressorTestCase) ... ok
test_partial_fit_equal_fit_invscaling (sklearn.linear_model.tests.test_sgd.DenseSGDRegressorTestCase) ... ok
test_partial_fit_equal_fit_optimal (sklearn.linear_model.tests.test_sgd.DenseSGDRegressorTestCase) ... ok
test_plain_has_no_average_attr (sklearn.linear_model.tests.test_sgd.DenseSGDRegressorTestCase) ... ok
test_sgd (sklearn.linear_model.tests.test_sgd.DenseSGDRegressorTestCase) ... ok
test_sgd_averaged_computed_correctly (sklearn.linear_model.tests.test_sgd.DenseSGDRegressorTestCase) ... ok
test_sgd_averaged_partial_fit (sklearn.linear_model.tests.test_sgd.DenseSGDRegressorTestCase) ... ok
test_sgd_bad_alpha_for_optimal_learning_rate (sklearn.linear_model.tests.test_sgd.DenseSGDRegressorTestCase) ... ok
test_sgd_bad_loss (sklearn.linear_model.tests.test_sgd.DenseSGDRegressorTestCase) ... ok
test_sgd_bad_penalty (sklearn.linear_model.tests.test_sgd.DenseSGDRegressorTestCase) ... ok
test_sgd_epsilon_insensitive (sklearn.linear_model.tests.test_sgd.DenseSGDRegressorTestCase) ... ok
test_sgd_huber_fit (sklearn.linear_model.tests.test_sgd.DenseSGDRegressorTestCase) ... ok
test_sgd_least_squares_fit (sklearn.linear_model.tests.test_sgd.DenseSGDRegressorTestCase) ... ok
test_warm_start_constant (sklearn.linear_model.tests.test_sgd.DenseSGDRegressorTestCase) ... ok
test_warm_start_invscaling (sklearn.linear_model.tests.test_sgd.DenseSGDRegressorTestCase) ... ok
test_warm_start_optimal (sklearn.linear_model.tests.test_sgd.DenseSGDRegressorTestCase) ... ok
test_argument_coef (sklearn.linear_model.tests.test_sgd.SparseSGDClassifierTestCase) ... ok
test_average_binary_computed_correctly (sklearn.linear_model.tests.test_sgd.SparseSGDClassifierTestCase) ... ok
test_balanced_weight (sklearn.linear_model.tests.test_sgd.SparseSGDClassifierTestCase) ... ok
test_class_weights (sklearn.linear_model.tests.test_sgd.SparseSGDClassifierTestCase) ... ok
test_clone (sklearn.linear_model.tests.test_sgd.SparseSGDClassifierTestCase) ... ok
test_equal_class_weight (sklearn.linear_model.tests.test_sgd.SparseSGDClassifierTestCase) ... ok
test_fit_then_partial_fit (sklearn.linear_model.tests.test_sgd.SparseSGDClassifierTestCase) ... ok
test_input_format (sklearn.linear_model.tests.test_sgd.SparseSGDClassifierTestCase) ... ok
test_late_onset_averaging_not_reached (sklearn.linear_model.tests.test_sgd.SparseSGDClassifierTestCase) ... ok
test_late_onset_averaging_reached (sklearn.linear_model.tests.test_sgd.SparseSGDClassifierTestCase) ... ok
test_multiple_fit (sklearn.linear_model.tests.test_sgd.SparseSGDClassifierTestCase) ... ok
test_partial_fit_binary (sklearn.linear_model.tests.test_sgd.SparseSGDClassifierTestCase) ... ok
test_partial_fit_equal_fit_constant (sklearn.linear_model.tests.test_sgd.SparseSGDClassifierTestCase) ... ok
test_partial_fit_equal_fit_invscaling (sklearn.linear_model.tests.test_sgd.SparseSGDClassifierTestCase) ... ok
test_partial_fit_equal_fit_optimal (sklearn.linear_model.tests.test_sgd.SparseSGDClassifierTestCase) ... ok
test_partial_fit_exception (sklearn.linear_model.tests.test_sgd.SparseSGDClassifierTestCase) ... ok
test_partial_fit_multiclass (sklearn.linear_model.tests.test_sgd.SparseSGDClassifierTestCase) ... ok
test_partial_fit_multiclass_average (sklearn.linear_model.tests.test_sgd.SparseSGDClassifierTestCase) ... ok
test_partial_fit_weight_class_balanced (sklearn.linear_model.tests.test_sgd.SparseSGDClassifierTestCase) ... ok
test_plain_has_no_average_attr (sklearn.linear_model.tests.test_sgd.SparseSGDClassifierTestCase) ... ok
test_provide_coef (sklearn.linear_model.tests.test_sgd.SparseSGDClassifierTestCase) ... ok
test_regression_losses (sklearn.linear_model.tests.test_sgd.SparseSGDClassifierTestCase) ... ok
test_sample_weights (sklearn.linear_model.tests.test_sgd.SparseSGDClassifierTestCase) ... ok
test_set_coef_multiclass (sklearn.linear_model.tests.test_sgd.SparseSGDClassifierTestCase) ... ok
test_set_intercept (sklearn.linear_model.tests.test_sgd.SparseSGDClassifierTestCase) ... ok
test_set_intercept_binary (sklearn.linear_model.tests.test_sgd.SparseSGDClassifierTestCase) ... ok
test_set_intercept_to_intercept (sklearn.linear_model.tests.test_sgd.SparseSGDClassifierTestCase) ... ok
test_sgd (sklearn.linear_model.tests.test_sgd.SparseSGDClassifierTestCase) ... ok
test_sgd_at_least_two_labels (sklearn.linear_model.tests.test_sgd.SparseSGDClassifierTestCase) ... ok
test_sgd_bad_alpha (sklearn.linear_model.tests.test_sgd.SparseSGDClassifierTestCase) ... ok
test_sgd_bad_alpha_for_optimal_learning_rate (sklearn.linear_model.tests.test_sgd.SparseSGDClassifierTestCase) ... ok
test_sgd_bad_eta0 (sklearn.linear_model.tests.test_sgd.SparseSGDClassifierTestCase) ... ok
test_sgd_bad_l1_ratio (sklearn.linear_model.tests.test_sgd.SparseSGDClassifierTestCase) ... ok
test_sgd_bad_learning_rate_schedule (sklearn.linear_model.tests.test_sgd.SparseSGDClassifierTestCase) ... ok
test_sgd_bad_loss (sklearn.linear_model.tests.test_sgd.SparseSGDClassifierTestCase) ... ok
test_sgd_bad_penalty (sklearn.linear_model.tests.test_sgd.SparseSGDClassifierTestCase) ... ok
test_sgd_l1 (sklearn.linear_model.tests.test_sgd.SparseSGDClassifierTestCase) ... ok
test_sgd_max_iter_param (sklearn.linear_model.tests.test_sgd.SparseSGDClassifierTestCase) ... ok
test_sgd_multiclass (sklearn.linear_model.tests.test_sgd.SparseSGDClassifierTestCase) ... ok
test_sgd_multiclass_average (sklearn.linear_model.tests.test_sgd.SparseSGDClassifierTestCase) ... ok
test_sgd_multiclass_njobs (sklearn.linear_model.tests.test_sgd.SparseSGDClassifierTestCase) ... ok
test_sgd_multiclass_with_init_coef (sklearn.linear_model.tests.test_sgd.SparseSGDClassifierTestCase) ... ok
test_sgd_proba (sklearn.linear_model.tests.test_sgd.SparseSGDClassifierTestCase) ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/linear_model/stochastic_gradient.py:904: RuntimeWarning: divide by zero encountered in log
return np.log(self.predict_proba(X))
ok
test_sgd_shuffle_param (sklearn.linear_model.tests.test_sgd.SparseSGDClassifierTestCase) ... ok
test_warm_start_constant (sklearn.linear_model.tests.test_sgd.SparseSGDClassifierTestCase) ... ok
test_warm_start_invscaling (sklearn.linear_model.tests.test_sgd.SparseSGDClassifierTestCase) ... ok
test_warm_start_multiclass (sklearn.linear_model.tests.test_sgd.SparseSGDClassifierTestCase) ... ok
test_warm_start_optimal (sklearn.linear_model.tests.test_sgd.SparseSGDClassifierTestCase) ... ok
test_weights_multiplied (sklearn.linear_model.tests.test_sgd.SparseSGDClassifierTestCase) ... ok
test_wrong_class_weight_format (sklearn.linear_model.tests.test_sgd.SparseSGDClassifierTestCase) ... ok
test_wrong_class_weight_label (sklearn.linear_model.tests.test_sgd.SparseSGDClassifierTestCase) ... ok
test_wrong_sample_weights (sklearn.linear_model.tests.test_sgd.SparseSGDClassifierTestCase) ... ok
test_average_sparse (sklearn.linear_model.tests.test_sgd.SparseSGDRegressorTestCase) ... ok
test_clone (sklearn.linear_model.tests.test_sgd.SparseSGDRegressorTestCase) ... ok
test_elasticnet_convergence (sklearn.linear_model.tests.test_sgd.SparseSGDRegressorTestCase) ... ok
test_input_format (sklearn.linear_model.tests.test_sgd.SparseSGDRegressorTestCase) ... ok
test_late_onset_averaging_not_reached (sklearn.linear_model.tests.test_sgd.SparseSGDRegressorTestCase) ... ok
test_late_onset_averaging_reached (sklearn.linear_model.tests.test_sgd.SparseSGDRegressorTestCase) ... ok
test_loss_function_epsilon (sklearn.linear_model.tests.test_sgd.SparseSGDRegressorTestCase) ... ok
test_partial_fit (sklearn.linear_model.tests.test_sgd.SparseSGDRegressorTestCase) ... ok
test_partial_fit_equal_fit_constant (sklearn.linear_model.tests.test_sgd.SparseSGDRegressorTestCase) ... ok
test_partial_fit_equal_fit_invscaling (sklearn.linear_model.tests.test_sgd.SparseSGDRegressorTestCase) ... ok
test_partial_fit_equal_fit_optimal (sklearn.linear_model.tests.test_sgd.SparseSGDRegressorTestCase) ... ok
test_plain_has_no_average_attr (sklearn.linear_model.tests.test_sgd.SparseSGDRegressorTestCase) ... ok
test_sgd (sklearn.linear_model.tests.test_sgd.SparseSGDRegressorTestCase) ... ok
test_sgd_averaged_computed_correctly (sklearn.linear_model.tests.test_sgd.SparseSGDRegressorTestCase) ... ok
test_sgd_averaged_partial_fit (sklearn.linear_model.tests.test_sgd.SparseSGDRegressorTestCase) ... ok
test_sgd_bad_alpha_for_optimal_learning_rate (sklearn.linear_model.tests.test_sgd.SparseSGDRegressorTestCase) ... ok
test_sgd_bad_loss (sklearn.linear_model.tests.test_sgd.SparseSGDRegressorTestCase) ... ok
test_sgd_bad_penalty (sklearn.linear_model.tests.test_sgd.SparseSGDRegressorTestCase) ... ok
test_sgd_epsilon_insensitive (sklearn.linear_model.tests.test_sgd.SparseSGDRegressorTestCase) ... ok
test_sgd_huber_fit (sklearn.linear_model.tests.test_sgd.SparseSGDRegressorTestCase) ... ok
test_sgd_least_squares_fit (sklearn.linear_model.tests.test_sgd.SparseSGDRegressorTestCase) ... ok
test_warm_start_constant (sklearn.linear_model.tests.test_sgd.SparseSGDRegressorTestCase) ... ok
test_warm_start_invscaling (sklearn.linear_model.tests.test_sgd.SparseSGDRegressorTestCase) ... ok
test_warm_start_optimal (sklearn.linear_model.tests.test_sgd.SparseSGDRegressorTestCase) ... ok
sklearn.linear_model.tests.test_sgd.test_tol_and_max_iter_default_values ... ok
sklearn.linear_model.tests.test_sgd.test_l1_ratio ... ok
sklearn.linear_model.tests.test_sgd.test_underflow_or_overlow ... ok
sklearn.linear_model.tests.test_sgd.test_numerical_stability_large_gradient ... ok
sklearn.linear_model.tests.test_sgd.test_large_regularization ... ok
sklearn.linear_model.tests.test_sgd.test_tol_parameter ... ok
sklearn.linear_model.tests.test_sgd.test_future_and_deprecation_warnings ... ok
sklearn.linear_model.tests.test_sgd.test_gradient_hinge ... ok
sklearn.linear_model.tests.test_sgd.test_gradient_squared_hinge ... ok
sklearn.linear_model.tests.test_sgd.test_gradient_log ... ok
sklearn.linear_model.tests.test_sgd.test_gradient_squared_loss ... ok
sklearn.linear_model.tests.test_sgd.test_gradient_huber ... ok
sklearn.linear_model.tests.test_sgd.test_gradient_modified_huber ... ok
sklearn.linear_model.tests.test_sgd.test_gradient_epsilon_insensitive ... ok
sklearn.linear_model.tests.test_sgd.test_gradient_squared_epsilon_insensitive ... ok
sklearn.linear_model.tests.test_sparse_coordinate_descent.test_sparse_coef ... ok
sklearn.linear_model.tests.test_sparse_coordinate_descent.test_normalize_option ... ok
sklearn.linear_model.tests.test_sparse_coordinate_descent.test_lasso_zero ... ok
sklearn.linear_model.tests.test_sparse_coordinate_descent.test_enet_toy_list_input ... ok
sklearn.linear_model.tests.test_sparse_coordinate_descent.test_enet_toy_explicit_sparse_input ... ok
sklearn.linear_model.tests.test_sparse_coordinate_descent.test_sparse_enet_not_as_toy_dataset ... ok
sklearn.linear_model.tests.test_sparse_coordinate_descent.test_sparse_lasso_not_as_toy_dataset ... ok
sklearn.linear_model.tests.test_sparse_coordinate_descent.test_enet_multitarget ... ok
sklearn.linear_model.tests.test_sparse_coordinate_descent.test_path_parameters ... ok
sklearn.linear_model.tests.test_sparse_coordinate_descent.test_same_output_sparse_dense_lasso_and_enet_cv ... ok
sklearn.linear_model.tests.test_sparse_coordinate_descent.test_same_multiple_output_sparse_dense ... ok
sklearn.linear_model.tests.test_theil_sen.test_modweiszfeld_step_1d ... ok
sklearn.linear_model.tests.test_theil_sen.test_modweiszfeld_step_2d ... ok
sklearn.linear_model.tests.test_theil_sen.test_spatial_median_1d ... ok
sklearn.linear_model.tests.test_theil_sen.test_spatial_median_2d ... ok
sklearn.linear_model.tests.test_theil_sen.test_theil_sen_1d ... ok
sklearn.linear_model.tests.test_theil_sen.test_theil_sen_1d_no_intercept ... ok
sklearn.linear_model.tests.test_theil_sen.test_theil_sen_2d ... ok
sklearn.linear_model.tests.test_theil_sen.test_calc_breakdown_point ... ok
sklearn.linear_model.tests.test_theil_sen.test_checksubparams_negative_subpopulation ... ok
sklearn.linear_model.tests.test_theil_sen.test_checksubparams_too_few_subsamples ... ok
sklearn.linear_model.tests.test_theil_sen.test_checksubparams_too_many_subsamples ... ok
sklearn.linear_model.tests.test_theil_sen.test_checksubparams_n_subsamples_if_less_samples_than_features ... ok
sklearn.linear_model.tests.test_theil_sen.test_subpopulation ... ok
sklearn.linear_model.tests.test_theil_sen.test_subsamples ... ok
sklearn.linear_model.tests.test_theil_sen.test_verbosity ... ok
sklearn.linear_model.tests.test_theil_sen.test_theil_sen_parallel ... ok
sklearn.linear_model.tests.test_theil_sen.test_less_samples_than_features ... ok
sklearn.manifold.tests.test_isomap.test_isomap_simple_grid ... ok
sklearn.manifold.tests.test_isomap.test_isomap_reconstruction_error ... ok
sklearn.manifold.tests.test_isomap.test_transform ... ok
sklearn.manifold.tests.test_isomap.test_pipeline ... ok
sklearn.manifold.tests.test_isomap.test_isomap_clone_bug ... ok
sklearn.manifold.tests.test_locally_linear.test_barycenter_kneighbors_graph ... ok
sklearn.manifold.tests.test_locally_linear.test_lle_simple_grid ... ok
sklearn.manifold.tests.test_locally_linear.test_lle_manifold ... ok
sklearn.manifold.tests.test_locally_linear.test_lle_init_parameters ... ok
sklearn.manifold.tests.test_locally_linear.test_pipeline ... ok
sklearn.manifold.tests.test_locally_linear.test_singular_matrix ... ok
sklearn.manifold.tests.test_locally_linear.test_integer_input ... ok
sklearn.manifold.tests.test_mds.test_smacof ... ok
sklearn.manifold.tests.test_mds.test_smacof_error ... ok
sklearn.manifold.tests.test_mds.test_MDS ... ok
sklearn.manifold.tests.test_spectral_embedding.test_sparse_graph_connected_component ... ok
sklearn.manifold.tests.test_spectral_embedding.test_spectral_embedding_two_components ... ok
sklearn.manifold.tests.test_spectral_embedding.test_spectral_embedding_precomputed_affinity ... ok
sklearn.manifold.tests.test_spectral_embedding.test_spectral_embedding_callable_affinity ... ok
sklearn.manifold.tests.test_spectral_embedding.test_spectral_embedding_amg_solver ... SKIP: pyamg not available.
sklearn.manifold.tests.test_spectral_embedding.test_pipeline_spectral_clustering ... ok
sklearn.manifold.tests.test_spectral_embedding.test_spectral_embedding_unknown_eigensolver ... ok
sklearn.manifold.tests.test_spectral_embedding.test_spectral_embedding_unknown_affinity ... ok
sklearn.manifold.tests.test_spectral_embedding.test_connectivity ... ok
sklearn.manifold.tests.test_spectral_embedding.test_spectral_embedding_deterministic ... ok
sklearn.manifold.tests.test_spectral_embedding.test_spectral_embedding_unnormalized ... ok
sklearn.manifold.tests.test_t_sne.test_gradient_descent_stops ... ok
sklearn.manifold.tests.test_t_sne.test_binary_search ... ok
sklearn.manifold.tests.test_t_sne.test_binary_search_neighbors ... ok
sklearn.manifold.tests.test_t_sne.test_binary_perplexity_stability ... ok
sklearn.manifold.tests.test_t_sne.test_gradient ... ok
sklearn.manifold.tests.test_t_sne.test_trustworthiness ... ok
sklearn.manifold.tests.test_t_sne.test_preserve_trustworthiness_approximately ... ok
t-SNE should give a lower KL divergence with more iterations. ... ok
sklearn.manifold.tests.test_t_sne.test_fit_csr_matrix ... ok
sklearn.manifold.tests.test_t_sne.test_preserve_trustworthiness_approximately_with_precomputed_distances ... ok
sklearn.manifold.tests.test_t_sne.test_early_exaggeration_too_small ... ok
sklearn.manifold.tests.test_t_sne.test_too_few_iterations ... ok
sklearn.manifold.tests.test_t_sne.test_non_square_precomputed_distances ... ok
sklearn.manifold.tests.test_t_sne.test_non_positive_precomputed_distances ... ok
sklearn.manifold.tests.test_t_sne.test_non_positive_computed_distances ... ok
sklearn.manifold.tests.test_t_sne.test_init_not_available ... ok
sklearn.manifold.tests.test_t_sne.test_init_ndarray ... ok
sklearn.manifold.tests.test_t_sne.test_init_ndarray_precomputed ... ok
sklearn.manifold.tests.test_t_sne.test_distance_not_available ... ok
sklearn.manifold.tests.test_t_sne.test_method_not_available ... ok
sklearn.manifold.tests.test_t_sne.test_angle_out_of_range_checks ... ok
sklearn.manifold.tests.test_t_sne.test_pca_initialization_not_compatible_with_precomputed_kernel ... ok
sklearn.manifold.tests.test_t_sne.test_n_components_range ... ok
sklearn.manifold.tests.test_t_sne.test_early_exaggeration_used ... ok
sklearn.manifold.tests.test_t_sne.test_n_iter_used ... ok
sklearn.manifold.tests.test_t_sne.test_answer_gradient_two_points ... ok
sklearn.manifold.tests.test_t_sne.test_answer_gradient_four_points ... ok
sklearn.manifold.tests.test_t_sne.test_skip_num_points_gradient ... ok
sklearn.manifold.tests.test_t_sne.test_verbose ... ok
sklearn.manifold.tests.test_t_sne.test_chebyshev_metric ... ok
sklearn.manifold.tests.test_t_sne.test_reduction_to_one_component ... ok
sklearn.manifold.tests.test_t_sne.test_no_sparse_on_barnes_hut ... ok
sklearn.manifold.tests.test_t_sne.test_64bit ... ok
sklearn.manifold.tests.test_t_sne.test_barnes_hut_angle ... ok
sklearn.manifold.tests.test_t_sne.test_min_grad_norm ... ok
sklearn.manifold.tests.test_t_sne.test_n_iter_without_progress ... SKIP: Test skipped on 32bit platforms.
sklearn.manifold.tests.test_t_sne.test_accessible_kl_divergence ... ok
sklearn.manifold.tests.test_t_sne.test_uniform_grid('barnes_hut',) ... ok
sklearn.manifold.tests.test_t_sne.test_uniform_grid('exact',) ... ok
sklearn.manifold.tests.test_t_sne.test_bh_match_exact ... ok
Make sure that TSNE works for different distance metrics ... ok
sklearn.metrics.cluster.tests.test_bicluster.test_jaccard ... ok
sklearn.metrics.cluster.tests.test_bicluster.test_consensus_score ... ok
Different number of biclusters in A and B ... ok
sklearn.metrics.cluster.tests.test_supervised.test_error_messages_on_wrong_input ... ok
sklearn.metrics.cluster.tests.test_supervised.test_perfect_matches ... ok
sklearn.metrics.cluster.tests.test_supervised.test_homogeneous_but_not_complete_labeling ... ok
sklearn.metrics.cluster.tests.test_supervised.test_complete_but_not_homogeneous_labeling ... ok
sklearn.metrics.cluster.tests.test_supervised.test_not_complete_and_not_homogeneous_labeling ... ok
sklearn.metrics.cluster.tests.test_supervised.test_non_consicutive_labels ... ok
sklearn.metrics.cluster.tests.test_supervised.test_adjustment_for_chance ... ok
sklearn.metrics.cluster.tests.test_supervised.test_adjusted_mutual_info_score ... ok
sklearn.metrics.cluster.tests.test_supervised.test_expected_mutual_info_overflow ... ok
sklearn.metrics.cluster.tests.test_supervised.test_entropy ... ok
sklearn.metrics.cluster.tests.test_supervised.test_contingency_matrix ... ok
sklearn.metrics.cluster.tests.test_supervised.test_contingency_matrix_sparse ... ok
sklearn.metrics.cluster.tests.test_supervised.test_exactly_zero_info_score ... ok
sklearn.metrics.cluster.tests.test_supervised.test_v_measure_and_mutual_information ... ok
sklearn.metrics.cluster.tests.test_supervised.test_fowlkes_mallows_score ... ok
sklearn.metrics.cluster.tests.test_supervised.test_fowlkes_mallows_score_properties ... ok
sklearn.metrics.cluster.tests.test_unsupervised.test_silhouette ... ok
sklearn.metrics.cluster.tests.test_unsupervised.test_cluster_size_1 ... ok
sklearn.metrics.cluster.tests.test_unsupervised.test_correct_labelsize ... ok
sklearn.metrics.cluster.tests.test_unsupervised.test_non_encoded_labels ... ok
sklearn.metrics.cluster.tests.test_unsupervised.test_non_numpy_labels ... ok
sklearn.metrics.cluster.tests.test_unsupervised.test_calinski_harabaz_score ... ok
sklearn.metrics.tests.test_classification.test_multilabel_accuracy_score_subset_accuracy ... ok
sklearn.metrics.tests.test_classification.test_precision_recall_f1_score_binary ... ok
sklearn.metrics.tests.test_classification.test_precision_recall_f_binary_single_class ... ok
sklearn.metrics.tests.test_classification.test_average_precision_score_score_non_binary_class ... ok
sklearn.metrics.tests.test_classification.test_average_precision_score_duplicate_values ... ok
sklearn.metrics.tests.test_classification.test_average_precision_score_tied_values ... ok
sklearn.metrics.tests.test_classification.test_precision_recall_f_unused_pos_label ... ok
sklearn.metrics.tests.test_classification.test_matthews_corrcoef_nan ... ok
sklearn.metrics.tests.test_classification.test_precision_recall_f1_score_multilabel_1 ... ok
sklearn.metrics.tests.test_classification.test_precision_recall_f1_score_multilabel_2 ... ok
sklearn.metrics.tests.test_classification.test_precision_recall_f1_score_with_an_empty_prediction ... ok
sklearn.metrics.tests.test_classification.test_precision_recall_f_extra_labels ... ok
sklearn.metrics.tests.test_classification.test_precision_recall_f_ignored_labels ... ok
sklearn.metrics.tests.test_classification.test_precision_recall_fscore_support_errors ... ok
sklearn.metrics.tests.test_classification.test_confusion_matrix_binary ... ok
sklearn.metrics.tests.test_classification.test_cohen_kappa ... ok
sklearn.metrics.tests.test_classification.test_matthews_corrcoef_against_numpy_corrcoef ... ok
sklearn.metrics.tests.test_classification.test_matthews_corrcoef_against_jurman ... ok
sklearn.metrics.tests.test_classification.test_matthews_corrcoef ... ok
sklearn.metrics.tests.test_classification.test_matthews_corrcoef_multiclass ... ok
sklearn.metrics.tests.test_classification.test_matthews_corrcoef_overflow ... ok
sklearn.metrics.tests.test_classification.test_precision_recall_f1_score_multiclass ... ok
sklearn.metrics.tests.test_classification.test_precision_refcall_f1_score_multilabel_unordered_labels ... ok
sklearn.metrics.tests.test_classification.test_precision_recall_f1_score_binary_averaged ... ok
sklearn.metrics.tests.test_classification.test_zero_precision_recall ... ok
sklearn.metrics.tests.test_classification.test_confusion_matrix_multiclass ... ok
Test confusion matrix - case with sample_weight ... ok
sklearn.metrics.tests.test_classification.test_confusion_matrix_multiclass_subset_labels ... ok
sklearn.metrics.tests.test_classification.test_confusion_matrix_dtype ... ok
sklearn.metrics.tests.test_classification.test_classification_report_multiclass ... ok
sklearn.metrics.tests.test_classification.test_classification_report_multiclass_with_digits ... ok
sklearn.metrics.tests.test_classification.test_classification_report_multiclass_with_string_label ... ok
sklearn.metrics.tests.test_classification.test_classification_report_multiclass_with_unicode_label ... ok
sklearn.metrics.tests.test_classification.test_classification_report_multiclass_with_long_string_label ... ok
sklearn.metrics.tests.test_classification.test_classification_report_labels_target_names_unequal_length ... ok
sklearn.metrics.tests.test_classification.test_multilabel_classification_report ... ok
sklearn.metrics.tests.test_classification.test_multilabel_zero_one_loss_subset ... ok
sklearn.metrics.tests.test_classification.test_multilabel_hamming_loss ... ok
sklearn.metrics.tests.test_classification.test_multilabel_jaccard_similarity_score ... ok
sklearn.metrics.tests.test_classification.test_precision_recall_f1_no_labels ... ok
sklearn.metrics.tests.test_classification.test_prf_warnings ... ok
sklearn.metrics.tests.test_classification.test_recall_warnings ... ok
sklearn.metrics.tests.test_classification.test_precision_warnings ... ok
sklearn.metrics.tests.test_classification.test_fscore_warnings ... ok
sklearn.metrics.tests.test_classification.test_prf_average_binary_data_non_binary ... ok
sklearn.metrics.tests.test_classification.test__check_targets ... ok
sklearn.metrics.tests.test_classification.test__check_targets_multiclass_with_both_y_true_and_y_pred_binary ... ok
sklearn.metrics.tests.test_classification.test_hinge_loss_binary ... ok
sklearn.metrics.tests.test_classification.test_hinge_loss_multiclass ... ok
sklearn.metrics.tests.test_classification.test_hinge_loss_multiclass_missing_labels_with_labels_none ... ok
sklearn.metrics.tests.test_classification.test_hinge_loss_multiclass_with_missing_labels ... ok
sklearn.metrics.tests.test_classification.test_hinge_loss_multiclass_invariance_lists ... ok
sklearn.metrics.tests.test_classification.test_log_loss ... ok
sklearn.metrics.tests.test_classification.test_log_loss_pandas_input ... ok
sklearn.metrics.tests.test_classification.test_brier_score_loss ... ok
sklearn.metrics.tests.test_common.test_format_invariance_with_1d_vectors ... ok
sklearn.metrics.tests.test_common.test_invariance_string_vs_numbers_labels ... ok
sklearn.metrics.tests.test_common.test_multilabel_representation_invariance ... ok
sklearn.metrics.tests.test_common.test_no_averaging_labels ... ok
sklearn.metrics.tests.test_common.test_sample_order_invariance ... ok
sklearn.metrics.tests.test_common.test_sample_order_invariance_multilabel_and_multioutput ... ok
sklearn.metrics.tests.test_common.test_symmetry ... ok
sklearn.metrics.tests.test_common.test_inf_nan_input ... ok
sklearn.metrics.tests.test_common.test_single_sample('macro_f2_score',) ... ok
sklearn.metrics.tests.test_common.test_single_sample('weighted_f0.5_score',) ... ok
sklearn.metrics.tests.test_common.test_single_sample('jaccard_similarity_score',) ... ok
sklearn.metrics.tests.test_common.test_single_sample('macro_recall_score',) ... ok
sklearn.metrics.tests.test_common.test_single_sample('unnormalized_accuracy_score',) ... ok
sklearn.metrics.tests.test_common.test_single_sample('macro_f0.5_score',) ... ok
sklearn.metrics.tests.test_common.test_single_sample('explained_variance_score',) ... ok
sklearn.metrics.tests.test_common.test_single_sample('confusion_matrix',) ... ok
sklearn.metrics.tests.test_common.test_single_sample('mean_absolute_error',) ... ok
sklearn.metrics.tests.test_common.test_single_sample('weighted_precision_score',) ... ok
sklearn.metrics.tests.test_common.test_single_sample('micro_f0.5_score',) ... ok
sklearn.metrics.tests.test_common.test_single_sample('mean_squared_error',) ... ok
sklearn.metrics.tests.test_common.test_single_sample('unnormalized_zero_one_loss',) ... ok
sklearn.metrics.tests.test_common.test_single_sample('matthews_corrcoef_score',) ... ok
sklearn.metrics.tests.test_common.test_single_sample('unnormalized_jaccard_similarity_score',) ... ok
sklearn.metrics.tests.test_common.test_single_sample('weighted_recall_score',) ... ok
sklearn.metrics.tests.test_common.test_single_sample('median_absolute_error',) ... ok
sklearn.metrics.tests.test_common.test_single_sample('micro_f1_score',) ... ok
sklearn.metrics.tests.test_common.test_single_sample('weighted_f2_score',) ... ok
sklearn.metrics.tests.test_common.test_single_sample('micro_f2_score',) ... ok
sklearn.metrics.tests.test_common.test_single_sample('r2_score',) ... ok
sklearn.metrics.tests.test_common.test_single_sample('zero_one_loss',) ... ok
sklearn.metrics.tests.test_common.test_single_sample('weighted_f1_score',) ... ok
sklearn.metrics.tests.test_common.test_single_sample('micro_precision_score',) ... ok
sklearn.metrics.tests.test_common.test_single_sample('cohen_kappa_score',) ... ok
sklearn.metrics.tests.test_common.test_single_sample('accuracy_score',) ... ok
sklearn.metrics.tests.test_common.test_single_sample('macro_precision_score',) ... ok
sklearn.metrics.tests.test_common.test_single_sample('macro_f1_score',) ... ok
sklearn.metrics.tests.test_common.test_single_sample('micro_recall_score',) ... ok
sklearn.metrics.tests.test_common.test_single_sample('hamming_loss',) ... ok
sklearn.metrics.tests.test_common.test_single_sample('mean_absolute_error',) ... ok
sklearn.metrics.tests.test_common.test_single_sample('mean_squared_error',) ... ok
sklearn.metrics.tests.test_common.test_single_sample('r2_score',) ... ok
sklearn.metrics.tests.test_common.test_single_sample('explained_variance_score',) ... ok
sklearn.metrics.tests.test_common.test_single_sample('accuracy_score',) ... ok
sklearn.metrics.tests.test_common.test_single_sample('unnormalized_accuracy_score',) ... ok
sklearn.metrics.tests.test_common.test_single_sample('hamming_loss',) ... ok
sklearn.metrics.tests.test_common.test_single_sample('jaccard_similarity_score',) ... ok
sklearn.metrics.tests.test_common.test_single_sample('unnormalized_jaccard_similarity_score',) ... ok
sklearn.metrics.tests.test_common.test_single_sample('zero_one_loss',) ... ok
sklearn.metrics.tests.test_common.test_single_sample('unnormalized_zero_one_loss',) ... ok
sklearn.metrics.tests.test_common.test_single_sample('weighted_f0.5_score',) ... ok
sklearn.metrics.tests.test_common.test_single_sample('weighted_f1_score',) ... ok
sklearn.metrics.tests.test_common.test_single_sample('weighted_f2_score',) ... ok
sklearn.metrics.tests.test_common.test_single_sample('weighted_precision_score',) ... ok
sklearn.metrics.tests.test_common.test_single_sample('weighted_recall_score',) ... ok
sklearn.metrics.tests.test_common.test_single_sample('macro_f0.5_score',) ... ok
sklearn.metrics.tests.test_common.test_single_sample('macro_f1_score',) ... ok
sklearn.metrics.tests.test_common.test_single_sample('macro_f2_score',) ... ok
sklearn.metrics.tests.test_common.test_single_sample('macro_precision_score',) ... ok
sklearn.metrics.tests.test_common.test_single_sample('macro_recall_score',) ... ok
sklearn.metrics.tests.test_common.test_single_sample('micro_f0.5_score',) ... ok
sklearn.metrics.tests.test_common.test_single_sample('micro_f1_score',) ... ok
sklearn.metrics.tests.test_common.test_single_sample('micro_f2_score',) ... ok
sklearn.metrics.tests.test_common.test_single_sample('micro_precision_score',) ... ok
sklearn.metrics.tests.test_common.test_single_sample('micro_recall_score',) ... ok
sklearn.metrics.tests.test_common.test_single_sample('samples_f0.5_score',) ... ok
sklearn.metrics.tests.test_common.test_single_sample('samples_f1_score',) ... ok
sklearn.metrics.tests.test_common.test_single_sample('samples_f2_score',) ... ok
sklearn.metrics.tests.test_common.test_single_sample('samples_precision_score',) ... ok
sklearn.metrics.tests.test_common.test_single_sample('samples_recall_score',) ... ok
sklearn.metrics.tests.test_common.test_multioutput_number_of_output_differ ... ok
sklearn.metrics.tests.test_common.test_multioutput_regression_invariance_to_dimension_shuffling ... ok
sklearn.metrics.tests.test_common.test_raise_value_error_multilabel_sequences ... ok
sklearn.metrics.tests.test_common.test_normalize_option_binary_classification ... ok
sklearn.metrics.tests.test_common.test_normalize_option_multiclass_classification ... ok
sklearn.metrics.tests.test_common.test_normalize_option_multilabel_classification ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/metrics/tests/test_common.py.test_averaging_multiclass:check_averaging(precision_score) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/metrics/tests/test_common.py.test_averaging_multiclass:check_averaging(recall_score) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/metrics/tests/test_common.py.test_averaging_multiclass:check_averaging(f1_score) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/metrics/tests/test_common.py.test_averaging_multiclass:check_averaging(f2_score) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/metrics/tests/test_common.py.test_averaging_multiclass:check_averaging(f0.5_score) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/metrics/tests/test_common.py.test_averaging_multilabel:check_averaging(precision_score) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/metrics/tests/test_common.py.test_averaging_multilabel:check_averaging(recall_score) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/metrics/tests/test_common.py.test_averaging_multilabel:check_averaging(f1_score) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/metrics/tests/test_common.py.test_averaging_multilabel:check_averaging(f2_score) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/metrics/tests/test_common.py.test_averaging_multilabel:check_averaging(f0.5_score) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/metrics/tests/test_common.py.test_averaging_multilabel:check_averaging(roc_auc_score) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/metrics/tests/test_common.py.test_averaging_multilabel:check_averaging(average_precision_score) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/metrics/tests/test_common.py.test_averaging_multilabel_all_zeroes:check_averaging(precision_score) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/metrics/tests/test_common.py.test_averaging_multilabel_all_zeroes:check_averaging(recall_score) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/metrics/tests/test_common.py.test_averaging_multilabel_all_zeroes:check_averaging(f1_score) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/metrics/tests/test_common.py.test_averaging_multilabel_all_zeroes:check_averaging(f2_score) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/metrics/tests/test_common.py.test_averaging_multilabel_all_zeroes:check_averaging(f0.5_score) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/metrics/tests/test_common.py.test_averaging_multilabel_all_ones:check_averaging(precision_score) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/metrics/tests/test_common.py.test_averaging_multilabel_all_ones:check_averaging(recall_score) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/metrics/tests/test_common.py.test_averaging_multilabel_all_ones:check_averaging(f1_score) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/metrics/tests/test_common.py.test_averaging_multilabel_all_ones:check_averaging(f2_score) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/metrics/tests/test_common.py.test_averaging_multilabel_all_ones:check_averaging(f0.5_score) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/metrics/tests/test_common.py.test_sample_weight_invariance:check_sample_weight_invariance(explained_variance_score) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/metrics/tests/test_common.py.test_sample_weight_invariance:check_sample_weight_invariance(mean_absolute_error) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/metrics/tests/test_common.py.test_sample_weight_invariance:check_sample_weight_invariance(mean_squared_error) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/metrics/tests/test_common.py.test_sample_weight_invariance:check_sample_weight_invariance(r2_score) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/metrics/tests/test_common.py.test_sample_weight_invariance:check_sample_weight_invariance(f1_score) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/metrics/tests/test_common.py.test_sample_weight_invariance:check_sample_weight_invariance(precision_score) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/metrics/tests/test_common.py.test_sample_weight_invariance:check_sample_weight_invariance(f2_score) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/metrics/tests/test_common.py.test_sample_weight_invariance:check_sample_weight_invariance(macro_f2_score) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/metrics/tests/test_common.py.test_sample_weight_invariance:check_sample_weight_invariance(weighted_f0.5_score) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/metrics/tests/test_common.py.test_sample_weight_invariance:check_sample_weight_invariance(jaccard_similarity_score) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/metrics/tests/test_common.py.test_sample_weight_invariance:check_sample_weight_invariance(macro_recall_score) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/metrics/tests/test_common.py.test_sample_weight_invariance:check_sample_weight_invariance(unnormalized_accuracy_score) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/metrics/tests/test_common.py.test_sample_weight_invariance:check_sample_weight_invariance(macro_f0.5_score) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/metrics/tests/test_common.py.test_sample_weight_invariance:check_sample_weight_invariance(weighted_precision_score) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/metrics/tests/test_common.py.test_sample_weight_invariance:check_sample_weight_invariance(hinge_loss) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/metrics/tests/test_common.py.test_sample_weight_invariance:check_sample_weight_invariance(micro_f0.5_score) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/metrics/tests/test_common.py.test_sample_weight_invariance:check_sample_weight_invariance(unnormalized_zero_one_loss) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/metrics/tests/test_common.py.test_sample_weight_invariance:check_sample_weight_invariance(matthews_corrcoef_score) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/metrics/tests/test_common.py.test_sample_weight_invariance:check_sample_weight_invariance(unnormalized_jaccard_similarity_score) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/metrics/tests/test_common.py.test_sample_weight_invariance:check_sample_weight_invariance(weighted_recall_score) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/metrics/tests/test_common.py.test_sample_weight_invariance:check_sample_weight_invariance(micro_f1_score) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/metrics/tests/test_common.py.test_sample_weight_invariance:check_sample_weight_invariance(weighted_f2_score) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/metrics/tests/test_common.py.test_sample_weight_invariance:check_sample_weight_invariance(f0.5_score) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/metrics/tests/test_common.py.test_sample_weight_invariance:check_sample_weight_invariance(log_loss) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/metrics/tests/test_common.py.test_sample_weight_invariance:check_sample_weight_invariance(micro_f2_score) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/metrics/tests/test_common.py.test_sample_weight_invariance:check_sample_weight_invariance(unnormalized_log_loss) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/metrics/tests/test_common.py.test_sample_weight_invariance:check_sample_weight_invariance(zero_one_loss) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/metrics/tests/test_common.py.test_sample_weight_invariance:check_sample_weight_invariance(weighted_f1_score) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/metrics/tests/test_common.py.test_sample_weight_invariance:check_sample_weight_invariance(micro_precision_score) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/metrics/tests/test_common.py.test_sample_weight_invariance:check_sample_weight_invariance(cohen_kappa_score) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/metrics/tests/test_common.py.test_sample_weight_invariance:check_sample_weight_invariance(accuracy_score) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/metrics/tests/test_common.py.test_sample_weight_invariance:check_sample_weight_invariance(macro_precision_score) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/metrics/tests/test_common.py.test_sample_weight_invariance:check_sample_weight_invariance(recall_score) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/metrics/tests/test_common.py.test_sample_weight_invariance:check_sample_weight_invariance(macro_f1_score) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/metrics/tests/test_common.py.test_sample_weight_invariance:check_sample_weight_invariance(brier_score_loss) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/metrics/tests/test_common.py.test_sample_weight_invariance:check_sample_weight_invariance(micro_recall_score) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/metrics/tests/test_common.py.test_sample_weight_invariance:check_sample_weight_invariance(hamming_loss) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/metrics/tests/test_common.py.test_sample_weight_invariance:check_sample_weight_invariance(macro_f2_score) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/metrics/tests/test_common.py.test_sample_weight_invariance:check_sample_weight_invariance(weighted_f0.5_score) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/metrics/tests/test_common.py.test_sample_weight_invariance:check_sample_weight_invariance(jaccard_similarity_score) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/metrics/tests/test_common.py.test_sample_weight_invariance:check_sample_weight_invariance(macro_recall_score) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/metrics/tests/test_common.py.test_sample_weight_invariance:check_sample_weight_invariance(unnormalized_accuracy_score) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/metrics/tests/test_common.py.test_sample_weight_invariance:check_sample_weight_invariance(macro_f0.5_score) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/metrics/tests/test_common.py.test_sample_weight_invariance:check_sample_weight_invariance(weighted_precision_score) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/metrics/tests/test_common.py.test_sample_weight_invariance:check_sample_weight_invariance(hinge_loss) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/metrics/tests/test_common.py.test_sample_weight_invariance:check_sample_weight_invariance(micro_f0.5_score) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/metrics/tests/test_common.py.test_sample_weight_invariance:check_sample_weight_invariance(unnormalized_zero_one_loss) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/metrics/tests/test_common.py.test_sample_weight_invariance:check_sample_weight_invariance(matthews_corrcoef_score) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/metrics/tests/test_common.py.test_sample_weight_invariance:check_sample_weight_invariance(unnormalized_jaccard_similarity_score) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/metrics/tests/test_common.py.test_sample_weight_invariance:check_sample_weight_invariance(weighted_recall_score) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/metrics/tests/test_common.py.test_sample_weight_invariance:check_sample_weight_invariance(micro_f1_score) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/metrics/tests/test_common.py.test_sample_weight_invariance:check_sample_weight_invariance(weighted_f2_score) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/metrics/tests/test_common.py.test_sample_weight_invariance:check_sample_weight_invariance(log_loss) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/metrics/tests/test_common.py.test_sample_weight_invariance:check_sample_weight_invariance(micro_f2_score) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/metrics/tests/test_common.py.test_sample_weight_invariance:check_sample_weight_invariance(unnormalized_log_loss) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/metrics/tests/test_common.py.test_sample_weight_invariance:check_sample_weight_invariance(zero_one_loss) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/metrics/tests/test_common.py.test_sample_weight_invariance:check_sample_weight_invariance(weighted_f1_score) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/metrics/tests/test_common.py.test_sample_weight_invariance:check_sample_weight_invariance(micro_precision_score) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/metrics/tests/test_common.py.test_sample_weight_invariance:check_sample_weight_invariance(cohen_kappa_score) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/metrics/tests/test_common.py.test_sample_weight_invariance:check_sample_weight_invariance(accuracy_score) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/metrics/tests/test_common.py.test_sample_weight_invariance:check_sample_weight_invariance(macro_precision_score) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/metrics/tests/test_common.py.test_sample_weight_invariance:check_sample_weight_invariance(macro_f1_score) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/metrics/tests/test_common.py.test_sample_weight_invariance:check_sample_weight_invariance(micro_recall_score) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/metrics/tests/test_common.py.test_sample_weight_invariance:check_sample_weight_invariance(hamming_loss) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/metrics/tests/test_common.py.test_sample_weight_invariance:check_sample_weight_invariance(accuracy_score) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/metrics/tests/test_common.py.test_sample_weight_invariance:check_sample_weight_invariance(unnormalized_accuracy_score) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/metrics/tests/test_common.py.test_sample_weight_invariance:check_sample_weight_invariance(hamming_loss) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/metrics/tests/test_common.py.test_sample_weight_invariance:check_sample_weight_invariance(jaccard_similarity_score) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/metrics/tests/test_common.py.test_sample_weight_invariance:check_sample_weight_invariance(unnormalized_jaccard_similarity_score) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/metrics/tests/test_common.py.test_sample_weight_invariance:check_sample_weight_invariance(zero_one_loss) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/metrics/tests/test_common.py.test_sample_weight_invariance:check_sample_weight_invariance(unnormalized_zero_one_loss) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/metrics/tests/test_common.py.test_sample_weight_invariance:check_sample_weight_invariance(weighted_f0.5_score) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/metrics/tests/test_common.py.test_sample_weight_invariance:check_sample_weight_invariance(weighted_f1_score) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/metrics/tests/test_common.py.test_sample_weight_invariance:check_sample_weight_invariance(weighted_f2_score) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/metrics/tests/test_common.py.test_sample_weight_invariance:check_sample_weight_invariance(weighted_precision_score) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/metrics/tests/test_common.py.test_sample_weight_invariance:check_sample_weight_invariance(weighted_recall_score) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/metrics/tests/test_common.py.test_sample_weight_invariance:check_sample_weight_invariance(macro_f0.5_score) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/metrics/tests/test_common.py.test_sample_weight_invariance:check_sample_weight_invariance(macro_f1_score) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/metrics/tests/test_common.py.test_sample_weight_invariance:check_sample_weight_invariance(macro_f2_score) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/metrics/tests/test_common.py.test_sample_weight_invariance:check_sample_weight_invariance(macro_precision_score) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/metrics/tests/test_common.py.test_sample_weight_invariance:check_sample_weight_invariance(macro_recall_score) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/metrics/tests/test_common.py.test_sample_weight_invariance:check_sample_weight_invariance(micro_f0.5_score) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/metrics/tests/test_common.py.test_sample_weight_invariance:check_sample_weight_invariance(micro_f1_score) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/metrics/tests/test_common.py.test_sample_weight_invariance:check_sample_weight_invariance(micro_f2_score) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/metrics/tests/test_common.py.test_sample_weight_invariance:check_sample_weight_invariance(micro_precision_score) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/metrics/tests/test_common.py.test_sample_weight_invariance:check_sample_weight_invariance(micro_recall_score) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/metrics/tests/test_common.py.test_sample_weight_invariance:check_sample_weight_invariance(samples_f0.5_score) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/metrics/tests/test_common.py.test_sample_weight_invariance:check_sample_weight_invariance(samples_f1_score) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/metrics/tests/test_common.py.test_sample_weight_invariance:check_sample_weight_invariance(samples_f2_score) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/metrics/tests/test_common.py.test_sample_weight_invariance:check_sample_weight_invariance(samples_precision_score) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/metrics/tests/test_common.py.test_sample_weight_invariance:check_sample_weight_invariance(samples_recall_score) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/metrics/tests/test_common.py.test_sample_weight_invariance:check_sample_weight_invariance(log_loss) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/metrics/tests/test_common.py.test_sample_weight_invariance:check_sample_weight_invariance(unnormalized_log_loss) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/metrics/tests/test_common.py.test_sample_weight_invariance:check_sample_weight_invariance(roc_auc_score) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/metrics/tests/test_common.py.test_sample_weight_invariance:check_sample_weight_invariance(weighted_roc_auc) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/metrics/tests/test_common.py.test_sample_weight_invariance:check_sample_weight_invariance(samples_roc_auc) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/metrics/tests/test_common.py.test_sample_weight_invariance:check_sample_weight_invariance(micro_roc_auc) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/metrics/tests/test_common.py.test_sample_weight_invariance:check_sample_weight_invariance(macro_roc_auc) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/metrics/tests/test_common.py.test_sample_weight_invariance:check_sample_weight_invariance(average_precision_score) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/metrics/tests/test_common.py.test_sample_weight_invariance:check_sample_weight_invariance(weighted_average_precision_score) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/metrics/tests/test_common.py.test_sample_weight_invariance:check_sample_weight_invariance(samples_average_precision_score) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/metrics/tests/test_common.py.test_sample_weight_invariance:check_sample_weight_invariance(micro_average_precision_score) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/metrics/tests/test_common.py.test_sample_weight_invariance:check_sample_weight_invariance(macro_average_precision_score) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/metrics/tests/test_common.py.test_sample_weight_invariance:check_sample_weight_invariance(coverage_error) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/metrics/tests/test_common.py.test_sample_weight_invariance:check_sample_weight_invariance(label_ranking_loss) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/metrics/tests/test_common.py.test_sample_weight_invariance:check_sample_weight_invariance(mean_absolute_error) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/metrics/tests/test_common.py.test_sample_weight_invariance:check_sample_weight_invariance(mean_squared_error) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/metrics/tests/test_common.py.test_sample_weight_invariance:check_sample_weight_invariance(r2_score) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/metrics/tests/test_common.py.test_sample_weight_invariance:check_sample_weight_invariance(explained_variance_score) ... ok
sklearn.metrics.tests.test_pairwise.test_pairwise_distances ... ok
sklearn.metrics.tests.test_pairwise.test_pairwise_precomputed ... ok
sklearn.metrics.tests.test_pairwise.test_pairwise_parallel(<function pairwise_distances at 0xf3c3b6b0>, 'euclidean', {}) ... ok
sklearn.metrics.tests.test_pairwise.test_pairwise_parallel(<function pairwise_distances at 0xf3c3b6b0>, <function wminkowski at 0xf46beb70>, {'p': 1, 'w': array([1., 2., 3., 4.])}) ... ok
sklearn.metrics.tests.test_pairwise.test_pairwise_parallel(<function pairwise_distances at 0xf3c3b6b0>, 'wminkowski', {'p': 1, 'w': array([1., 2., 3., 4.])}) ... ok
sklearn.metrics.tests.test_pairwise.test_pairwise_parallel(<function pairwise_kernels at 0xf3c3b730>, 'polynomial', {'degree': 1}) ... ok
sklearn.metrics.tests.test_pairwise.test_pairwise_parallel(<function pairwise_kernels at 0xf3c3b730>, <function callable_rbf_kernel at 0xf2b720b0>, {'gamma': 0.1}) ... ok
sklearn.metrics.tests.test_pairwise.test_pairwise_callable_nonstrict_metric ... ok
sklearn.metrics.tests.test_pairwise.test_pairwise_kernels ... ok
sklearn.metrics.tests.test_pairwise.test_pairwise_kernels_filter_param ... ok
sklearn.metrics.tests.test_pairwise.test_paired_distances ... ok
sklearn.metrics.tests.test_pairwise.test_pairwise_boolean_distance ... ok
sklearn.metrics.tests.test_pairwise.test_pairwise_distances_argmin_min ... ok
sklearn.metrics.tests.test_pairwise.test_euclidean_distances ... ok
sklearn.metrics.tests.test_pairwise.test_cosine_distances ... ok
sklearn.metrics.tests.test_pairwise.test_paired_euclidean_distances ... ok
sklearn.metrics.tests.test_pairwise.test_paired_manhattan_distances ... ok
sklearn.metrics.tests.test_pairwise.test_chi_square_kernel ... ok
sklearn.metrics.tests.test_pairwise.test_kernel_symmetry ... ok
sklearn.metrics.tests.test_pairwise.test_kernel_sparse ... ok
sklearn.metrics.tests.test_pairwise.test_linear_kernel ... ok
sklearn.metrics.tests.test_pairwise.test_rbf_kernel ... ok
sklearn.metrics.tests.test_pairwise.test_laplacian_kernel ... ok
sklearn.metrics.tests.test_pairwise.test_cosine_similarity_sparse_output ... ok
sklearn.metrics.tests.test_pairwise.test_cosine_similarity ... ok
sklearn.metrics.tests.test_pairwise.test_check_dense_matrices ... ok
sklearn.metrics.tests.test_pairwise.test_check_XB_returned ... ok
sklearn.metrics.tests.test_pairwise.test_check_different_dimensions ... ok
sklearn.metrics.tests.test_pairwise.test_check_invalid_dimensions ... ok
sklearn.metrics.tests.test_pairwise.test_check_sparse_arrays ... ok
sklearn.metrics.tests.test_pairwise.test_check_tuple_input ... ok
sklearn.metrics.tests.test_pairwise.test_check_preserve_type ... ok
sklearn.metrics.tests.test_ranking.test_roc_curve ... ok
sklearn.metrics.tests.test_ranking.test_roc_curve_end_points ... ok
sklearn.metrics.tests.test_ranking.test_roc_returns_consistency ... ok
sklearn.metrics.tests.test_ranking.test_roc_curve_multi ... ok
sklearn.metrics.tests.test_ranking.test_roc_curve_confidence ... ok
sklearn.metrics.tests.test_ranking.test_roc_curve_hard ... ok
sklearn.metrics.tests.test_ranking.test_roc_curve_one_label ... ok
sklearn.metrics.tests.test_ranking.test_roc_curve_toydata ... ok
sklearn.metrics.tests.test_ranking.test_roc_curve_drop_intermediate ... ok
sklearn.metrics.tests.test_ranking.test_auc ... ok
sklearn.metrics.tests.test_ranking.test_auc_duplicate_values ... ok
sklearn.metrics.tests.test_ranking.test_auc_errors ... ok
sklearn.metrics.tests.test_ranking.test_auc_score_non_binary_class ... ok
sklearn.metrics.tests.test_ranking.test_binary_clf_curve ... ok
sklearn.metrics.tests.test_ranking.test_precision_recall_curve ... ok
sklearn.metrics.tests.test_ranking.test_precision_recall_curve_pos_label ... ok
sklearn.metrics.tests.test_ranking.test_precision_recall_curve_errors ... ok
sklearn.metrics.tests.test_ranking.test_precision_recall_curve_toydata ... SKIP: no precision-related exceptions get issued on armel
sklearn.metrics.tests.test_ranking.test_average_precision_constant_values ... ok
sklearn.metrics.tests.test_ranking.test_score_scale_invariance ... ok
sklearn.metrics.tests.test_ranking.test_label_ranking_avp(<function label_ranking_average_precision_score at 0xf3d73970>,) ... ok
sklearn.metrics.tests.test_ranking.test_label_ranking_avp(<function label_ranking_average_precision_score at 0xf3d73970>,) ... ok
sklearn.metrics.tests.test_ranking.test_label_ranking_avp(<function label_ranking_average_precision_score at 0xf3d73970>,) ... ok
sklearn.metrics.tests.test_ranking.test_label_ranking_avp(<function label_ranking_average_precision_score at 0xf3d73970>,) ... ok
sklearn.metrics.tests.test_ranking.test_label_ranking_avp(<function label_ranking_average_precision_score at 0xf3d73970>,) ... ok
sklearn.metrics.tests.test_ranking.test_label_ranking_avp(<function _my_lrap at 0xf2b794f0>,) ... ok
sklearn.metrics.tests.test_ranking.test_label_ranking_avp(<function _my_lrap at 0xf2b794f0>,) ... ok
sklearn.metrics.tests.test_ranking.test_label_ranking_avp(<function _my_lrap at 0xf2b794f0>,) ... ok
sklearn.metrics.tests.test_ranking.test_label_ranking_avp(<function _my_lrap at 0xf2b794f0>,) ... ok
sklearn.metrics.tests.test_ranking.test_label_ranking_avp(<function label_ranking_average_precision_score at 0xf3d73970>,) ... ok
sklearn.metrics.tests.test_ranking.test_label_ranking_avp(<function label_ranking_average_precision_score at 0xf3d73970>, 2, 1, 0) ... ok
sklearn.metrics.tests.test_ranking.test_label_ranking_avp(<function label_ranking_average_precision_score at 0xf3d73970>, 5, 1, 0) ... ok
sklearn.metrics.tests.test_ranking.test_label_ranking_avp(<function label_ranking_average_precision_score at 0xf3d73970>, 10, 1, 0) ... ok
sklearn.metrics.tests.test_ranking.test_label_ranking_avp(<function label_ranking_average_precision_score at 0xf3d73970>, 2, 2, 0) ... ok
sklearn.metrics.tests.test_ranking.test_label_ranking_avp(<function label_ranking_average_precision_score at 0xf3d73970>, 5, 2, 0) ... ok
sklearn.metrics.tests.test_ranking.test_label_ranking_avp(<function label_ranking_average_precision_score at 0xf3d73970>, 10, 2, 0) ... ok
sklearn.metrics.tests.test_ranking.test_label_ranking_avp(<function label_ranking_average_precision_score at 0xf3d73970>, 2, 8, 0) ... ok
sklearn.metrics.tests.test_ranking.test_label_ranking_avp(<function label_ranking_average_precision_score at 0xf3d73970>, 5, 8, 0) ... ok
sklearn.metrics.tests.test_ranking.test_label_ranking_avp(<function label_ranking_average_precision_score at 0xf3d73970>, 10, 8, 0) ... ok
sklearn.metrics.tests.test_ranking.test_label_ranking_avp(<function label_ranking_average_precision_score at 0xf3d73970>, 2, 20, 0) ... ok
sklearn.metrics.tests.test_ranking.test_label_ranking_avp(<function label_ranking_average_precision_score at 0xf3d73970>, 5, 20, 0) ... ok
sklearn.metrics.tests.test_ranking.test_label_ranking_avp(<function label_ranking_average_precision_score at 0xf3d73970>, 10, 20, 0) ... ok
sklearn.metrics.tests.test_ranking.test_coverage_error ... ok
sklearn.metrics.tests.test_ranking.test_coverage_tie_handling ... ok
sklearn.metrics.tests.test_ranking.test_label_ranking_loss ... ok
sklearn.metrics.tests.test_ranking.test_ranking_appropriate_input_shape ... ok
sklearn.metrics.tests.test_ranking.test_ranking_loss_ties_handling ... ok
sklearn.metrics.tests.test_regression.test_regression_metrics ... ok
sklearn.metrics.tests.test_regression.test_multioutput_regression ... ok
sklearn.metrics.tests.test_regression.test_regression_metrics_at_limits ... ok
sklearn.metrics.tests.test_regression.test__check_reg_targets ... ok
sklearn.metrics.tests.test_regression.test__check_reg_targets_exception ... ok
sklearn.metrics.tests.test_regression.test_regression_multioutput_array ... ok
sklearn.metrics.tests.test_regression.test_regression_custom_weights ... ok
sklearn.metrics.tests.test_score_objects.test_all_scorers_repr ... ok
sklearn.metrics.tests.test_score_objects.test_check_scoring_and_check_multimetric_scoring ... ok
sklearn.metrics.tests.test_score_objects.test_check_scoring_gridsearchcv ... ok
sklearn.metrics.tests.test_score_objects.test_make_scorer ... ok
sklearn.metrics.tests.test_score_objects.test_classification_scores ... ok
sklearn.metrics.tests.test_score_objects.test_raises_on_score_list ... ok
sklearn.metrics.tests.test_score_objects.test_scorer_sample_weight ... ok
sklearn.metrics.tests.test_score_objects.test_regression_scorers ... ok
sklearn.metrics.tests.test_score_objects.test_thresholded_scorers ... ok
sklearn.metrics.tests.test_score_objects.test_thresholded_scorers_multilabel_indicator_data ... ok
sklearn.metrics.tests.test_score_objects.test_supervised_cluster_scorers ... ok
sklearn.metrics.tests.test_score_objects.test_scorer_memmap_input('precision_samples',) ... ok
sklearn.metrics.tests.test_score_objects.test_scorer_memmap_input('f1_weighted',) ... ok
sklearn.metrics.tests.test_score_objects.test_scorer_memmap_input('f1_samples',) ... ok
sklearn.metrics.tests.test_score_objects.test_scorer_memmap_input('neg_median_absolute_error',) ... ok
sklearn.metrics.tests.test_score_objects.test_scorer_memmap_input('adjusted_mutual_info_score',) ... ok
sklearn.metrics.tests.test_score_objects.test_scorer_memmap_input('median_absolute_error',) ... ok
sklearn.metrics.tests.test_score_objects.test_scorer_memmap_input('precision',) ... ok
sklearn.metrics.tests.test_score_objects.test_scorer_memmap_input('normalized_mutual_info_score',) ... ok
sklearn.metrics.tests.test_score_objects.test_scorer_memmap_input('neg_log_loss',) ... ok
sklearn.metrics.tests.test_score_objects.test_scorer_memmap_input('log_loss',) ... ok
sklearn.metrics.tests.test_score_objects.test_scorer_memmap_input('precision_micro',) ... ok
sklearn.metrics.tests.test_score_objects.test_scorer_memmap_input('neg_mean_absolute_error',) ... ok
sklearn.metrics.tests.test_score_objects.test_scorer_memmap_input('recall_samples',) ... ok
sklearn.metrics.tests.test_score_objects.test_scorer_memmap_input('homogeneity_score',) ... ok
sklearn.metrics.tests.test_score_objects.test_scorer_memmap_input('precision_weighted',) ... ok
sklearn.metrics.tests.test_score_objects.test_scorer_memmap_input('average_precision',) ... ok
sklearn.metrics.tests.test_score_objects.test_scorer_memmap_input('fowlkes_mallows_score',) ... ok
sklearn.metrics.tests.test_score_objects.test_scorer_memmap_input('adjusted_rand_score',) ... ok
sklearn.metrics.tests.test_score_objects.test_scorer_memmap_input('recall_macro',) ... ok
sklearn.metrics.tests.test_score_objects.test_scorer_memmap_input('v_measure_score',) ... ok
sklearn.metrics.tests.test_score_objects.test_scorer_memmap_input('completeness_score',) ... ok
sklearn.metrics.tests.test_score_objects.test_scorer_memmap_input('r2',) ... ok
sklearn.metrics.tests.test_score_objects.test_scorer_memmap_input('recall_weighted',) ... ok
sklearn.metrics.tests.test_score_objects.test_scorer_memmap_input('recall',) ... ok
sklearn.metrics.tests.test_score_objects.test_scorer_memmap_input('precision_macro',) ... ok
sklearn.metrics.tests.test_score_objects.test_scorer_memmap_input('neg_mean_squared_error',) ... ok
sklearn.metrics.tests.test_score_objects.test_scorer_memmap_input('neg_mean_squared_log_error',) ... ok
sklearn.metrics.tests.test_score_objects.test_scorer_memmap_input('f1',) ... ok
sklearn.metrics.tests.test_score_objects.test_scorer_memmap_input('mutual_info_score',) ... ok
sklearn.metrics.tests.test_score_objects.test_scorer_memmap_input('f1_macro',) ... ok
sklearn.metrics.tests.test_score_objects.test_scorer_memmap_input('f1_micro',) ... ok
sklearn.metrics.tests.test_score_objects.test_scorer_memmap_input('mean_squared_error',) ... ok
sklearn.metrics.tests.test_score_objects.test_scorer_memmap_input('mean_absolute_error',) ... ok
sklearn.metrics.tests.test_score_objects.test_scorer_memmap_input('recall_micro',) ... ok
sklearn.metrics.tests.test_score_objects.test_scorer_memmap_input('roc_auc',) ... ok
sklearn.metrics.tests.test_score_objects.test_scorer_memmap_input('explained_variance',) ... ok
sklearn.metrics.tests.test_score_objects.test_scorer_memmap_input('accuracy',) ... ok
sklearn.metrics.tests.test_score_objects.test_deprecated_names ... ok
sklearn.metrics.tests.test_score_objects.test_scoring_is_not_metric ... ok
sklearn.mixture.tests.test_bayesian_mixture.test_log_dirichlet_norm ... ok
sklearn.mixture.tests.test_bayesian_mixture.test_log_wishart_norm ... ok
sklearn.mixture.tests.test_bayesian_mixture.test_bayesian_mixture_covariance_type ... ok
sklearn.mixture.tests.test_bayesian_mixture.test_bayesian_mixture_weight_concentration_prior_type ... ok
sklearn.mixture.tests.test_bayesian_mixture.test_bayesian_mixture_weights_prior_initialisation ... ok
sklearn.mixture.tests.test_bayesian_mixture.test_bayesian_mixture_means_prior_initialisation ... ok
sklearn.mixture.tests.test_bayesian_mixture.test_bayesian_mixture_precisions_prior_initialisation ... ok
sklearn.mixture.tests.test_bayesian_mixture.test_bayesian_mixture_check_is_fitted ... ok
sklearn.mixture.tests.test_bayesian_mixture.test_bayesian_mixture_weights ... ok
sklearn.mixture.tests.test_bayesian_mixture.test_check_covariance_precision ... ok
sklearn.mixture.tests.test_bayesian_mixture.test_invariant_translation ... ok
sklearn.mixture.tests.test_bayesian_mixture.test_monotonic_likelihood ... ok
sklearn.mixture.tests.test_bayesian_mixture.test_compare_covar_type ... ok
test_eval (sklearn.mixture.tests.test_dpgmm.TestDPGMMWithDiagCovars) ... ok
test_sample (sklearn.mixture.tests.test_dpgmm.TestDPGMMWithDiagCovars) ... ok
test_train (sklearn.mixture.tests.test_dpgmm.TestDPGMMWithDiagCovars) ... /usr/lib/python2.7/dist-packages/scipy/special/_logsumexp.py:112: RuntimeWarning: underflow encountered in exp
tmp = np.exp(a - a_max)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/mixture/dpgmm.py:55: RuntimeWarning: underflow encountered in exp
v = np.exp(v - out)
/usr/lib/python2.7/dist-packages/scipy/special/_logsumexp.py:112: RuntimeWarning: underflow encountered in exp
tmp = np.exp(a - a_max)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/mixture/dpgmm.py:55: RuntimeWarning: underflow encountered in exp
v = np.exp(v - out)
ok
test_train_1d (sklearn.mixture.tests.test_dpgmm.TestDPGMMWithDiagCovars) ... ok
test_train_degenerate (sklearn.mixture.tests.test_dpgmm.TestDPGMMWithDiagCovars) ... ok
test_eval (sklearn.mixture.tests.test_dpgmm.TestDPGMMWithFullCovars) ... ok
test_sample (sklearn.mixture.tests.test_dpgmm.TestDPGMMWithFullCovars) ... ok
test_train (sklearn.mixture.tests.test_dpgmm.TestDPGMMWithFullCovars) ... /usr/lib/python2.7/dist-packages/scipy/special/_logsumexp.py:112: RuntimeWarning: underflow encountered in exp
tmp = np.exp(a - a_max)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/mixture/dpgmm.py:55: RuntimeWarning: underflow encountered in exp
v = np.exp(v - out)
/usr/lib/python2.7/dist-packages/scipy/special/_logsumexp.py:112: RuntimeWarning: underflow encountered in exp
tmp = np.exp(a - a_max)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/mixture/dpgmm.py:55: RuntimeWarning: underflow encountered in exp
v = np.exp(v - out)
ok
test_train_1d (sklearn.mixture.tests.test_dpgmm.TestDPGMMWithFullCovars) ... ok
test_train_degenerate (sklearn.mixture.tests.test_dpgmm.TestDPGMMWithFullCovars) ... ok
test_eval (sklearn.mixture.tests.test_dpgmm.TestDPGMMWithSphericalCovars) ... ok
test_sample (sklearn.mixture.tests.test_dpgmm.TestDPGMMWithSphericalCovars) ... ok
test_train (sklearn.mixture.tests.test_dpgmm.TestDPGMMWithSphericalCovars) ... /usr/lib/python2.7/dist-packages/scipy/special/_logsumexp.py:112: RuntimeWarning: underflow encountered in exp
tmp = np.exp(a - a_max)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/mixture/dpgmm.py:55: RuntimeWarning: underflow encountered in exp
v = np.exp(v - out)
/usr/lib/python2.7/dist-packages/scipy/special/_logsumexp.py:112: RuntimeWarning: underflow encountered in exp
tmp = np.exp(a - a_max)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/mixture/dpgmm.py:55: RuntimeWarning: underflow encountered in exp
v = np.exp(v - out)
ok
test_train_1d (sklearn.mixture.tests.test_dpgmm.TestDPGMMWithSphericalCovars) ... ok
test_train_degenerate (sklearn.mixture.tests.test_dpgmm.TestDPGMMWithSphericalCovars) ... ok
test_eval (sklearn.mixture.tests.test_dpgmm.TestDPGMMWithTiedCovars) ... ok
test_sample (sklearn.mixture.tests.test_dpgmm.TestDPGMMWithTiedCovars) ... ok
test_train (sklearn.mixture.tests.test_dpgmm.TestDPGMMWithTiedCovars) ... /usr/lib/python2.7/dist-packages/scipy/special/_logsumexp.py:112: RuntimeWarning: underflow encountered in exp
tmp = np.exp(a - a_max)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/mixture/dpgmm.py:55: RuntimeWarning: underflow encountered in exp
v = np.exp(v - out)
ok
test_train_1d (sklearn.mixture.tests.test_dpgmm.TestDPGMMWithTiedCovars) ... ok
test_train_degenerate (sklearn.mixture.tests.test_dpgmm.TestDPGMMWithTiedCovars) ... ok
test_eval (sklearn.mixture.tests.test_dpgmm.TestVBGMMWithDiagCovars) ... ok
test_sample (sklearn.mixture.tests.test_dpgmm.TestVBGMMWithDiagCovars) ... ok
test_train (sklearn.mixture.tests.test_dpgmm.TestVBGMMWithDiagCovars) ... /usr/lib/python2.7/dist-packages/scipy/special/_logsumexp.py:112: RuntimeWarning: underflow encountered in exp
tmp = np.exp(a - a_max)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/mixture/dpgmm.py:55: RuntimeWarning: underflow encountered in exp
v = np.exp(v - out)
/usr/lib/python2.7/dist-packages/scipy/special/_logsumexp.py:112: RuntimeWarning: underflow encountered in exp
tmp = np.exp(a - a_max)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/mixture/dpgmm.py:55: RuntimeWarning: underflow encountered in exp
v = np.exp(v - out)
ok
test_train_1d (sklearn.mixture.tests.test_dpgmm.TestVBGMMWithDiagCovars) ... ok
test_train_degenerate (sklearn.mixture.tests.test_dpgmm.TestVBGMMWithDiagCovars) ... ok
test_eval (sklearn.mixture.tests.test_dpgmm.TestVBGMMWithFullCovars) ... ok
test_sample (sklearn.mixture.tests.test_dpgmm.TestVBGMMWithFullCovars) ... ok
test_train (sklearn.mixture.tests.test_dpgmm.TestVBGMMWithFullCovars) ... /usr/lib/python2.7/dist-packages/scipy/special/_logsumexp.py:112: RuntimeWarning: underflow encountered in exp
tmp = np.exp(a - a_max)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/mixture/dpgmm.py:55: RuntimeWarning: underflow encountered in exp
v = np.exp(v - out)
/usr/lib/python2.7/dist-packages/scipy/special/_logsumexp.py:112: RuntimeWarning: underflow encountered in exp
tmp = np.exp(a - a_max)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/mixture/dpgmm.py:55: RuntimeWarning: underflow encountered in exp
v = np.exp(v - out)
ok
test_train_1d (sklearn.mixture.tests.test_dpgmm.TestVBGMMWithFullCovars) ... ok
test_train_degenerate (sklearn.mixture.tests.test_dpgmm.TestVBGMMWithFullCovars) ... ok
test_eval (sklearn.mixture.tests.test_dpgmm.TestVBGMMWithSphericalCovars) ... ok
test_sample (sklearn.mixture.tests.test_dpgmm.TestVBGMMWithSphericalCovars) ... ok
test_train (sklearn.mixture.tests.test_dpgmm.TestVBGMMWithSphericalCovars) ... /usr/lib/python2.7/dist-packages/scipy/special/_logsumexp.py:112: RuntimeWarning: underflow encountered in exp
tmp = np.exp(a - a_max)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/mixture/dpgmm.py:55: RuntimeWarning: underflow encountered in exp
v = np.exp(v - out)
/usr/lib/python2.7/dist-packages/scipy/special/_logsumexp.py:112: RuntimeWarning: underflow encountered in exp
tmp = np.exp(a - a_max)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/mixture/dpgmm.py:55: RuntimeWarning: underflow encountered in exp
v = np.exp(v - out)
ok
test_train_1d (sklearn.mixture.tests.test_dpgmm.TestVBGMMWithSphericalCovars) ... ok
test_train_degenerate (sklearn.mixture.tests.test_dpgmm.TestVBGMMWithSphericalCovars) ... ok
test_eval (sklearn.mixture.tests.test_dpgmm.TestVBGMMWithTiedCovars) ... ok
test_sample (sklearn.mixture.tests.test_dpgmm.TestVBGMMWithTiedCovars) ... ok
test_train (sklearn.mixture.tests.test_dpgmm.TestVBGMMWithTiedCovars) ... /usr/lib/python2.7/dist-packages/scipy/special/_logsumexp.py:112: RuntimeWarning: underflow encountered in exp
tmp = np.exp(a - a_max)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/mixture/dpgmm.py:55: RuntimeWarning: underflow encountered in exp
v = np.exp(v - out)
ok
test_train_1d (sklearn.mixture.tests.test_dpgmm.TestVBGMMWithTiedCovars) ... ok
test_train_degenerate (sklearn.mixture.tests.test_dpgmm.TestVBGMMWithTiedCovars) ... ok
sklearn.mixture.tests.test_dpgmm.test_VBGMM_deprecation ... ok
sklearn.mixture.tests.test_dpgmm.test_vbgmm_no_modify_alpha ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/deprecation.py:58: DeprecationWarning: Class VBGMM is deprecated; The `VBGMM` class is not working correctly and it's better to use `sklearn.mixture.BayesianGaussianMixture` class with parameter `weight_concentration_prior_type='dirichlet_distribution'` instead. VBGMM is deprecated in 0.18 and will be removed in 0.20.
warnings.warn(msg, category=DeprecationWarning)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/deprecation.py:77: DeprecationWarning: Function digamma is deprecated; The function digamma is deprecated in 0.18 and will be removed in 0.20. Use scipy.special.digamma instead.
warnings.warn(msg, category=DeprecationWarning)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/deprecation.py:77: DeprecationWarning: Function log_normalize is deprecated; The function log_normalize is deprecated in 0.18 and will be removed in 0.20.
warnings.warn(msg, category=DeprecationWarning)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/deprecation.py:77: DeprecationWarning: Function gammaln is deprecated; The function gammaln is deprecated in 0.18 and will be removed in 0.20. Use scipy.special.gammaln instead.
warnings.warn(msg, category=DeprecationWarning)
ok
sklearn.mixture.tests.test_dpgmm.test_DPGMM_deprecation ... ok
sklearn.mixture.tests.test_dpgmm.test_class_weights ... ok
sklearn.mixture.tests.test_dpgmm.test_digamma ... ok
sklearn.mixture.tests.test_dpgmm.test_gammaln ... ok
sklearn.mixture.tests.test_dpgmm.test_log_normalize ... ok
sklearn.mixture.tests.test_dpgmm.test_verbose_boolean ... ok
sklearn.mixture.tests.test_dpgmm.test_verbose_first_level ... ok
sklearn.mixture.tests.test_dpgmm.test_verbose_second_level ... ok
sklearn.mixture.tests.test_dpgmm.test_wishart_log_det ... ok
sklearn.mixture.tests.test_dpgmm.test_wishart_logz ... ok
sklearn.mixture.tests.test_gaussian_mixture.test_gaussian_mixture_attributes ... ok
sklearn.mixture.tests.test_gaussian_mixture.test_check_X ... ok
sklearn.mixture.tests.test_gaussian_mixture.test_check_weights ... ok
sklearn.mixture.tests.test_gaussian_mixture.test_check_means ... ok
sklearn.mixture.tests.test_gaussian_mixture.test_check_precisions ... /usr/lib/python2.7/dist-packages/scipy/special/_logsumexp.py:112: RuntimeWarning: underflow encountered in exp
tmp = np.exp(a - a_max)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/mixture/gaussian_mixture.py:667: RuntimeWarning: underflow encountered in exp
_estimate_gaussian_parameters(X, np.exp(log_resp), self.reg_covar,
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/mixture/gaussian_mixture.py:167: RuntimeWarning: underflow encountered in multiply
covariances[k] = np.dot(resp[:, k] * diff.T, diff) / nk[k]
ok
sklearn.mixture.tests.test_gaussian_mixture.test_init ... ok
sklearn.mixture.tests.test_gaussian_mixture.test_suffstat_sk_full ... ok
sklearn.mixture.tests.test_gaussian_mixture.test_suffstat_sk_tied ... ok
sklearn.mixture.tests.test_gaussian_mixture.test_suffstat_sk_diag ... ok
sklearn.mixture.tests.test_gaussian_mixture.test_gaussian_suffstat_sk_spherical ... ok
sklearn.mixture.tests.test_gaussian_mixture.test_compute_log_det_cholesky ... ok
sklearn.mixture.tests.test_gaussian_mixture.test_gaussian_mixture_log_probabilities ... ok
sklearn.mixture.tests.test_gaussian_mixture.test_gaussian_mixture_estimate_log_prob_resp ... ok
sklearn.mixture.tests.test_gaussian_mixture.test_gaussian_mixture_predict_predict_proba ... ok
sklearn.mixture.tests.test_gaussian_mixture.test_gaussian_mixture_fit ... ok
sklearn.mixture.tests.test_gaussian_mixture.test_gaussian_mixture_fit_best_params ... ok
sklearn.mixture.tests.test_gaussian_mixture.test_gaussian_mixture_fit_convergence_warning ... ok
sklearn.mixture.tests.test_gaussian_mixture.test_multiple_init ... ok
sklearn.mixture.tests.test_gaussian_mixture.test_gaussian_mixture_n_parameters ... ok
sklearn.mixture.tests.test_gaussian_mixture.test_bic_1d_1component ... ok
sklearn.mixture.tests.test_gaussian_mixture.test_gaussian_mixture_aic_bic ... ok
sklearn.mixture.tests.test_gaussian_mixture.test_gaussian_mixture_verbose ... ok
sklearn.mixture.tests.test_gaussian_mixture.test_warm_start ... ok
sklearn.mixture.tests.test_gaussian_mixture.test_score ... ok
sklearn.mixture.tests.test_gaussian_mixture.test_score_samples ... ok
sklearn.mixture.tests.test_gaussian_mixture.test_monotonic_likelihood ... ok
sklearn.mixture.tests.test_gaussian_mixture.test_regularisation ... ok
sklearn.mixture.tests.test_gaussian_mixture.test_property ... ok
sklearn.mixture.tests.test_gaussian_mixture.test_sample ... ok
test_eval (sklearn.mixture.tests.test_gmm.TestGMMWithDiagonalCovars) ... /usr/lib/python2.7/dist-packages/scipy/special/_logsumexp.py:112: RuntimeWarning: underflow encountered in exp
tmp = np.exp(a - a_max)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/mixture/gmm.py:343: RuntimeWarning: underflow encountered in exp
responsibilities = np.exp(lpr - logprob[:, np.newaxis])
ok
test_sample (sklearn.mixture.tests.test_gmm.TestGMMWithDiagonalCovars) ... ok
test_train (sklearn.mixture.tests.test_gmm.TestGMMWithDiagonalCovars) ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/deprecation.py:77: DeprecationWarning: Function log_multivariate_normal_density is deprecated; The function log_multivariate_normal_density is deprecated in 0.18 and will be removed in 0.20.
warnings.warn(msg, category=DeprecationWarning)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/deprecation.py:77: DeprecationWarning: Function log_multivariate_normal_density is deprecated; The function log_multivariate_normal_density is deprecated in 0.18 and will be removed in 0.20.
warnings.warn(msg, category=DeprecationWarning)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/deprecation.py:77: DeprecationWarning: Function log_multivariate_normal_density is deprecated; The function log_multivariate_normal_density is deprecated in 0.18 and will be removed in 0.20.
warnings.warn(msg, category=DeprecationWarning)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/deprecation.py:77: DeprecationWarning: Function log_multivariate_normal_density is deprecated; The function log_multivariate_normal_density is deprecated in 0.18 and will be removed in 0.20.
warnings.warn(msg, category=DeprecationWarning)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/deprecation.py:77: DeprecationWarning: Function log_multivariate_normal_density is deprecated; The function log_multivariate_normal_density is deprecated in 0.18 and will be removed in 0.20.
warnings.warn(msg, category=DeprecationWarning)
/usr/lib/python2.7/dist-packages/scipy/special/_logsumexp.py:112: RuntimeWarning: underflow encountered in exp
tmp = np.exp(a - a_max)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/mixture/gmm.py:343: RuntimeWarning: underflow encountered in exp
responsibilities = np.exp(lpr - logprob[:, np.newaxis])
ok
test_train_1d (sklearn.mixture.tests.test_gmm.TestGMMWithDiagonalCovars) ... ok
test_train_degenerate (sklearn.mixture.tests.test_gmm.TestGMMWithDiagonalCovars) ... ok
test_eval (sklearn.mixture.tests.test_gmm.TestGMMWithFullCovars) ... /usr/lib/python2.7/dist-packages/scipy/special/_logsumexp.py:112: RuntimeWarning: underflow encountered in exp
tmp = np.exp(a - a_max)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/mixture/gmm.py:343: RuntimeWarning: underflow encountered in exp
responsibilities = np.exp(lpr - logprob[:, np.newaxis])
ok
test_sample (sklearn.mixture.tests.test_gmm.TestGMMWithFullCovars) ... ok
test_train (sklearn.mixture.tests.test_gmm.TestGMMWithFullCovars) ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/deprecation.py:77: DeprecationWarning: Function log_multivariate_normal_density is deprecated; The function log_multivariate_normal_density is deprecated in 0.18 and will be removed in 0.20.
warnings.warn(msg, category=DeprecationWarning)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/deprecation.py:77: DeprecationWarning: Function log_multivariate_normal_density is deprecated; The function log_multivariate_normal_density is deprecated in 0.18 and will be removed in 0.20.
warnings.warn(msg, category=DeprecationWarning)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/deprecation.py:77: DeprecationWarning: Function log_multivariate_normal_density is deprecated; The function log_multivariate_normal_density is deprecated in 0.18 and will be removed in 0.20.
warnings.warn(msg, category=DeprecationWarning)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/deprecation.py:77: DeprecationWarning: Function log_multivariate_normal_density is deprecated; The function log_multivariate_normal_density is deprecated in 0.18 and will be removed in 0.20.
warnings.warn(msg, category=DeprecationWarning)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/deprecation.py:77: DeprecationWarning: Function log_multivariate_normal_density is deprecated; The function log_multivariate_normal_density is deprecated in 0.18 and will be removed in 0.20.
warnings.warn(msg, category=DeprecationWarning)
/usr/lib/python2.7/dist-packages/scipy/special/_logsumexp.py:112: RuntimeWarning: underflow encountered in exp
tmp = np.exp(a - a_max)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/mixture/gmm.py:343: RuntimeWarning: underflow encountered in exp
responsibilities = np.exp(lpr - logprob[:, np.newaxis])
ok
test_train_1d (sklearn.mixture.tests.test_gmm.TestGMMWithFullCovars) ... ok
test_train_degenerate (sklearn.mixture.tests.test_gmm.TestGMMWithFullCovars) ... ok
test_eval (sklearn.mixture.tests.test_gmm.TestGMMWithSphericalCovars) ... /usr/lib/python2.7/dist-packages/scipy/special/_logsumexp.py:112: RuntimeWarning: underflow encountered in exp
tmp = np.exp(a - a_max)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/mixture/gmm.py:343: RuntimeWarning: underflow encountered in exp
responsibilities = np.exp(lpr - logprob[:, np.newaxis])
ok
test_sample (sklearn.mixture.tests.test_gmm.TestGMMWithSphericalCovars) ... ok
test_train (sklearn.mixture.tests.test_gmm.TestGMMWithSphericalCovars) ... /usr/lib/python2.7/dist-packages/scipy/special/_logsumexp.py:112: RuntimeWarning: underflow encountered in exp
tmp = np.exp(a - a_max)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/mixture/gmm.py:343: RuntimeWarning: underflow encountered in exp
responsibilities = np.exp(lpr - logprob[:, np.newaxis])
/usr/lib/python2.7/dist-packages/scipy/special/_logsumexp.py:112: RuntimeWarning: underflow encountered in exp
tmp = np.exp(a - a_max)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/mixture/gmm.py:343: RuntimeWarning: underflow encountered in exp
responsibilities = np.exp(lpr - logprob[:, np.newaxis])
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/deprecation.py:77: DeprecationWarning: Function log_multivariate_normal_density is deprecated; The function log_multivariate_normal_density is deprecated in 0.18 and will be removed in 0.20.
warnings.warn(msg, category=DeprecationWarning)
/usr/lib/python2.7/dist-packages/scipy/special/_logsumexp.py:112: RuntimeWarning: underflow encountered in exp
tmp = np.exp(a - a_max)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/mixture/gmm.py:343: RuntimeWarning: underflow encountered in exp
responsibilities = np.exp(lpr - logprob[:, np.newaxis])
/usr/lib/python2.7/dist-packages/scipy/special/_logsumexp.py:112: RuntimeWarning: underflow encountered in exp
tmp = np.exp(a - a_max)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/mixture/gmm.py:343: RuntimeWarning: underflow encountered in exp
responsibilities = np.exp(lpr - logprob[:, np.newaxis])
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/deprecation.py:77: DeprecationWarning: Function log_multivariate_normal_density is deprecated; The function log_multivariate_normal_density is deprecated in 0.18 and will be removed in 0.20.
warnings.warn(msg, category=DeprecationWarning)
/usr/lib/python2.7/dist-packages/scipy/special/_logsumexp.py:112: RuntimeWarning: underflow encountered in exp
tmp = np.exp(a - a_max)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/mixture/gmm.py:343: RuntimeWarning: underflow encountered in exp
responsibilities = np.exp(lpr - logprob[:, np.newaxis])
/usr/lib/python2.7/dist-packages/scipy/special/_logsumexp.py:112: RuntimeWarning: underflow encountered in exp
tmp = np.exp(a - a_max)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/mixture/gmm.py:343: RuntimeWarning: underflow encountered in exp
responsibilities = np.exp(lpr - logprob[:, np.newaxis])
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/deprecation.py:77: DeprecationWarning: Function log_multivariate_normal_density is deprecated; The function log_multivariate_normal_density is deprecated in 0.18 and will be removed in 0.20.
warnings.warn(msg, category=DeprecationWarning)
/usr/lib/python2.7/dist-packages/scipy/special/_logsumexp.py:112: RuntimeWarning: underflow encountered in exp
tmp = np.exp(a - a_max)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/mixture/gmm.py:343: RuntimeWarning: underflow encountered in exp
responsibilities = np.exp(lpr - logprob[:, np.newaxis])
/usr/lib/python2.7/dist-packages/scipy/special/_logsumexp.py:112: RuntimeWarning: underflow encountered in exp
tmp = np.exp(a - a_max)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/mixture/gmm.py:343: RuntimeWarning: underflow encountered in exp
responsibilities = np.exp(lpr - logprob[:, np.newaxis])
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/deprecation.py:77: DeprecationWarning: Function log_multivariate_normal_density is deprecated; The function log_multivariate_normal_density is deprecated in 0.18 and will be removed in 0.20.
warnings.warn(msg, category=DeprecationWarning)
/usr/lib/python2.7/dist-packages/scipy/special/_logsumexp.py:112: RuntimeWarning: underflow encountered in exp
tmp = np.exp(a - a_max)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/mixture/gmm.py:343: RuntimeWarning: underflow encountered in exp
responsibilities = np.exp(lpr - logprob[:, np.newaxis])
/usr/lib/python2.7/dist-packages/scipy/special/_logsumexp.py:112: RuntimeWarning: underflow encountered in exp
tmp = np.exp(a - a_max)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/mixture/gmm.py:343: RuntimeWarning: underflow encountered in exp
responsibilities = np.exp(lpr - logprob[:, np.newaxis])
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/deprecation.py:77: DeprecationWarning: Function log_multivariate_normal_density is deprecated; The function log_multivariate_normal_density is deprecated in 0.18 and will be removed in 0.20.
warnings.warn(msg, category=DeprecationWarning)
/usr/lib/python2.7/dist-packages/scipy/special/_logsumexp.py:112: RuntimeWarning: underflow encountered in exp
tmp = np.exp(a - a_max)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/mixture/gmm.py:343: RuntimeWarning: underflow encountered in exp
responsibilities = np.exp(lpr - logprob[:, np.newaxis])
ok
test_train_1d (sklearn.mixture.tests.test_gmm.TestGMMWithSphericalCovars) ... ok
test_train_degenerate (sklearn.mixture.tests.test_gmm.TestGMMWithSphericalCovars) ... ok
test_eval (sklearn.mixture.tests.test_gmm.TestGMMWithTiedCovars) ... /usr/lib/python2.7/dist-packages/scipy/special/_logsumexp.py:112: RuntimeWarning: underflow encountered in exp
tmp = np.exp(a - a_max)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/mixture/gmm.py:343: RuntimeWarning: underflow encountered in exp
responsibilities = np.exp(lpr - logprob[:, np.newaxis])
ok
test_sample (sklearn.mixture.tests.test_gmm.TestGMMWithTiedCovars) ... ok
test_train (sklearn.mixture.tests.test_gmm.TestGMMWithTiedCovars) ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/deprecation.py:77: DeprecationWarning: Function log_multivariate_normal_density is deprecated; The function log_multivariate_normal_density is deprecated in 0.18 and will be removed in 0.20.
warnings.warn(msg, category=DeprecationWarning)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/deprecation.py:77: DeprecationWarning: Function log_multivariate_normal_density is deprecated; The function log_multivariate_normal_density is deprecated in 0.18 and will be removed in 0.20.
warnings.warn(msg, category=DeprecationWarning)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/deprecation.py:77: DeprecationWarning: Function log_multivariate_normal_density is deprecated; The function log_multivariate_normal_density is deprecated in 0.18 and will be removed in 0.20.
warnings.warn(msg, category=DeprecationWarning)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/deprecation.py:77: DeprecationWarning: Function log_multivariate_normal_density is deprecated; The function log_multivariate_normal_density is deprecated in 0.18 and will be removed in 0.20.
warnings.warn(msg, category=DeprecationWarning)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/deprecation.py:77: DeprecationWarning: Function log_multivariate_normal_density is deprecated; The function log_multivariate_normal_density is deprecated in 0.18 and will be removed in 0.20.
warnings.warn(msg, category=DeprecationWarning)
ok
test_train_1d (sklearn.mixture.tests.test_gmm.TestGMMWithTiedCovars) ... ok
test_train_degenerate (sklearn.mixture.tests.test_gmm.TestGMMWithTiedCovars) ... ok
sklearn.mixture.tests.test_gmm.test_sample_gaussian ... ok
sklearn.mixture.tests.test_gmm.test_lmvnpdf_diag ... ok
sklearn.mixture.tests.test_gmm.test_lmvnpdf_spherical ... ok
sklearn.mixture.tests.test_gmm.test_lmvnpdf_full ... ok
sklearn.mixture.tests.test_gmm.test_lvmpdf_full_cv_non_positive_definite ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/deprecation.py:77: DeprecationWarning: Function log_multivariate_normal_density is deprecated; The function log_multivariate_normal_density is deprecated in 0.18 and will be removed in 0.20.
warnings.warn(msg, category=DeprecationWarning)
ok
sklearn.mixture.tests.test_gmm.test_1d_1component ... ok
sklearn.mixture.tests.test_gmm.test_GMM_attributes ... ok
sklearn.mixture.tests.test_gmm.test_aic ... ok
test that gmm.fit_predict is equivalent to gmm.fit + gmm.predict ... ok
sklearn.mixture.tests.test_gmm.test_multiple_init ... ok
sklearn.mixture.tests.test_gmm.test_n_parameters ... ok
sklearn.mixture.tests.test_gmm.test_verbose_first_level ... ok
sklearn.mixture.tests.test_gmm.test_verbose_second_level ... ok
sklearn.mixture.tests.test_gmm.test_positive_definite_covars('full',) ... ok
sklearn.mixture.tests.test_gmm.test_positive_definite_covars('tied',) ... ok
sklearn.mixture.tests.test_gmm.test_positive_definite_covars('diag',) ... ok
sklearn.mixture.tests.test_gmm.test_positive_definite_covars('spherical',) ... ok
sklearn.model_selection.tests.test_search.test_parameter_grid ... ok
sklearn.model_selection.tests.test_search.test_grid_search ... [Parallel(n_jobs=1)]: Done 1 out of 1 | elapsed: 0.0s remaining: 0.0s
[Parallel(n_jobs=1)]: Done 2 out of 2 | elapsed: 0.0s remaining: 0.0s
[Parallel(n_jobs=1)]: Done 9 out of 9 | elapsed: 0.0s finished
ok
sklearn.model_selection.tests.test_search.test_grid_search_with_fit_params ... ok
sklearn.model_selection.tests.test_search.test_random_search_with_fit_params ... ok
sklearn.model_selection.tests.test_search.test_grid_search_fit_params_deprecation ... ok
sklearn.model_selection.tests.test_search.test_grid_search_fit_params_two_places ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/model_selection/_search.py:585: DeprecationWarning: "fit_params" as a constructor argument was deprecated in version 0.19 and will be removed in version 0.21. Pass fit parameters to the "fit" method instead.
'"fit" method instead.', DeprecationWarning)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/model_selection/_search.py:589: RuntimeWarning: Ignoring fit_params passed as a constructor argument in favor of keyword arguments to the "fit" method.
'the "fit" method.', RuntimeWarning)
ok
sklearn.model_selection.tests.test_search.test_grid_search_no_score ... ok
sklearn.model_selection.tests.test_search.test_pandas_input ... ok
sklearn.model_selection.tests.test_search.test_refit ... ok
sklearn.model_selection.tests.test_search.test_search_cv_timing ... ok
sklearn.model_selection.tests.test_search.test_grid_search_score_method ... ok
sklearn.model_selection.tests.test_search.test_grid_search_groups ... ok
sklearn.model_selection.tests.test_search.test_return_train_score_warn ... ok
sklearn.model_selection.tests.test_search.test_classes__property ... ok
sklearn.model_selection.tests.test_search.test_trivial_cv_results_attr ... ok
sklearn.model_selection.tests.test_search.test_no_refit ... ok
sklearn.model_selection.tests.test_search.test_grid_search_error ... ok
sklearn.model_selection.tests.test_search.test_grid_search_one_grid_point ... ok
sklearn.model_selection.tests.test_search.test_grid_search_when_param_grid_includes_range ... ok
sklearn.model_selection.tests.test_search.test_grid_search_bad_param_grid ... ok
sklearn.model_selection.tests.test_search.test_grid_search_sparse ... ok
sklearn.model_selection.tests.test_search.test_grid_search_sparse_scoring ... ok
sklearn.model_selection.tests.test_search.test_grid_search_precomputed_kernel ... ok
sklearn.model_selection.tests.test_search.test_grid_search_precomputed_kernel_error_nonsquare ... ok
sklearn.model_selection.tests.test_search.test_gridsearch_nd ... ok
sklearn.model_selection.tests.test_search.test_X_as_list ... ok
sklearn.model_selection.tests.test_search.test_y_as_list ... ok
sklearn.model_selection.tests.test_search.test_unsupervised_grid_search ... ok
sklearn.model_selection.tests.test_search.test_gridsearch_no_predict ... ok
sklearn.model_selection.tests.test_search.test_param_sampler ... ok
sklearn.model_selection.tests.test_search.test_grid_search_cv_results ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/deprecation.py:122: FutureWarning: You are accessing a training score ('mean_train_score'), which will not be available by default any more in 0.21. If you need training scores, please set return_train_score=True
warnings.warn(*warn_args, **warn_kwargs)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/deprecation.py:122: FutureWarning: You are accessing a training score ('split0_train_score'), which will not be available by default any more in 0.21. If you need training scores, please set return_train_score=True
warnings.warn(*warn_args, **warn_kwargs)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/deprecation.py:122: FutureWarning: You are accessing a training score ('split1_train_score'), which will not be available by default any more in 0.21. If you need training scores, please set return_train_score=True
warnings.warn(*warn_args, **warn_kwargs)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/deprecation.py:122: FutureWarning: You are accessing a training score ('split2_train_score'), which will not be available by default any more in 0.21. If you need training scores, please set return_train_score=True
warnings.warn(*warn_args, **warn_kwargs)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/deprecation.py:122: FutureWarning: You are accessing a training score ('std_train_score'), which will not be available by default any more in 0.21. If you need training scores, please set return_train_score=True
warnings.warn(*warn_args, **warn_kwargs)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/deprecation.py:122: FutureWarning: You are accessing a training score ('mean_train_score'), which will not be available by default any more in 0.21. If you need training scores, please set return_train_score=True
warnings.warn(*warn_args, **warn_kwargs)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/deprecation.py:122: FutureWarning: You are accessing a training score ('split0_train_score'), which will not be available by default any more in 0.21. If you need training scores, please set return_train_score=True
warnings.warn(*warn_args, **warn_kwargs)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/deprecation.py:122: FutureWarning: You are accessing a training score ('split1_train_score'), which will not be available by default any more in 0.21. If you need training scores, please set return_train_score=True
warnings.warn(*warn_args, **warn_kwargs)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/deprecation.py:122: FutureWarning: You are accessing a training score ('split2_train_score'), which will not be available by default any more in 0.21. If you need training scores, please set return_train_score=True
warnings.warn(*warn_args, **warn_kwargs)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/deprecation.py:122: FutureWarning: You are accessing a training score ('std_train_score'), which will not be available by default any more in 0.21. If you need training scores, please set return_train_score=True
warnings.warn(*warn_args, **warn_kwargs)
ok
sklearn.model_selection.tests.test_search.test_random_search_cv_results ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/deprecation.py:122: FutureWarning: You are accessing a training score ('mean_train_score'), which will not be available by default any more in 0.21. If you need training scores, please set return_train_score=True
warnings.warn(*warn_args, **warn_kwargs)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/deprecation.py:122: FutureWarning: You are accessing a training score ('split0_train_score'), which will not be available by default any more in 0.21. If you need training scores, please set return_train_score=True
warnings.warn(*warn_args, **warn_kwargs)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/deprecation.py:122: FutureWarning: You are accessing a training score ('split1_train_score'), which will not be available by default any more in 0.21. If you need training scores, please set return_train_score=True
warnings.warn(*warn_args, **warn_kwargs)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/deprecation.py:122: FutureWarning: You are accessing a training score ('split2_train_score'), which will not be available by default any more in 0.21. If you need training scores, please set return_train_score=True
warnings.warn(*warn_args, **warn_kwargs)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/deprecation.py:122: FutureWarning: You are accessing a training score ('std_train_score'), which will not be available by default any more in 0.21. If you need training scores, please set return_train_score=True
warnings.warn(*warn_args, **warn_kwargs)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/deprecation.py:122: FutureWarning: You are accessing a training score ('mean_train_score'), which will not be available by default any more in 0.21. If you need training scores, please set return_train_score=True
warnings.warn(*warn_args, **warn_kwargs)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/deprecation.py:122: FutureWarning: You are accessing a training score ('split0_train_score'), which will not be available by default any more in 0.21. If you need training scores, please set return_train_score=True
warnings.warn(*warn_args, **warn_kwargs)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/deprecation.py:122: FutureWarning: You are accessing a training score ('split1_train_score'), which will not be available by default any more in 0.21. If you need training scores, please set return_train_score=True
warnings.warn(*warn_args, **warn_kwargs)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/deprecation.py:122: FutureWarning: You are accessing a training score ('split2_train_score'), which will not be available by default any more in 0.21. If you need training scores, please set return_train_score=True
warnings.warn(*warn_args, **warn_kwargs)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/deprecation.py:122: FutureWarning: You are accessing a training score ('std_train_score'), which will not be available by default any more in 0.21. If you need training scores, please set return_train_score=True
warnings.warn(*warn_args, **warn_kwargs)
ok
sklearn.model_selection.tests.test_search.test_search_iid_param ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/deprecation.py:122: FutureWarning: You are accessing a training score ('split0_train_score'), which will not be available by default any more in 0.21. If you need training scores, please set return_train_score=True
warnings.warn(*warn_args, **warn_kwargs)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/deprecation.py:122: FutureWarning: You are accessing a training score ('split1_train_score'), which will not be available by default any more in 0.21. If you need training scores, please set return_train_score=True
warnings.warn(*warn_args, **warn_kwargs)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/deprecation.py:122: FutureWarning: You are accessing a training score ('mean_train_score'), which will not be available by default any more in 0.21. If you need training scores, please set return_train_score=True
warnings.warn(*warn_args, **warn_kwargs)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/deprecation.py:122: FutureWarning: You are accessing a training score ('std_train_score'), which will not be available by default any more in 0.21. If you need training scores, please set return_train_score=True
warnings.warn(*warn_args, **warn_kwargs)
ok
sklearn.model_selection.tests.test_search.test_grid_search_cv_results_multimetric ... ok
sklearn.model_selection.tests.test_search.test_random_search_cv_results_multimetric ... ok
sklearn.model_selection.tests.test_search.test_search_cv_results_rank_tie_breaking ... ok
sklearn.model_selection.tests.test_search.test_search_cv_results_none_param ... ok
sklearn.model_selection.tests.test_search.test_grid_search_correct_score_results ... ok
sklearn.model_selection.tests.test_search.test_fit_grid_point ... ok
sklearn.model_selection.tests.test_search.test_pickle ... ok
sklearn.model_selection.tests.test_search.test_grid_search_with_multioutput_data ... ok
sklearn.model_selection.tests.test_search.test_predict_proba_disabled ... ok
sklearn.model_selection.tests.test_search.test_grid_search_allows_nans ... ok
sklearn.model_selection.tests.test_search.test_grid_search_failing_classifier ... ok
sklearn.model_selection.tests.test_search.test_grid_search_failing_classifier_raise ... ok
sklearn.model_selection.tests.test_search.test_parameters_sampler_replacement ... ok
sklearn.model_selection.tests.test_search.test_stochastic_gradient_loss_param ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/linear_model/base.py:340: RuntimeWarning: underflow encountered in exp
np.exp(prob, prob)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/linear_model/stochastic_gradient.py:904: RuntimeWarning: divide by zero encountered in log
return np.log(self.predict_proba(X))
ok
sklearn.model_selection.tests.test_search.test_search_train_scores_set_to_false ... ok
sklearn.model_selection.tests.test_search.test_grid_search_cv_splits_consistency ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/deprecation.py:122: FutureWarning: You are accessing a training score ('mean_train_score'), which will not be available by default any more in 0.21. If you need training scores, please set return_train_score=True
warnings.warn(*warn_args, **warn_kwargs)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/deprecation.py:122: FutureWarning: You are accessing a training score ('split0_train_score'), which will not be available by default any more in 0.21. If you need training scores, please set return_train_score=True
warnings.warn(*warn_args, **warn_kwargs)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/deprecation.py:122: FutureWarning: You are accessing a training score ('std_train_score'), which will not be available by default any more in 0.21. If you need training scores, please set return_train_score=True
warnings.warn(*warn_args, **warn_kwargs)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/deprecation.py:122: FutureWarning: You are accessing a training score ('split1_train_score'), which will not be available by default any more in 0.21. If you need training scores, please set return_train_score=True
warnings.warn(*warn_args, **warn_kwargs)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/deprecation.py:122: FutureWarning: You are accessing a training score ('split2_train_score'), which will not be available by default any more in 0.21. If you need training scores, please set return_train_score=True
warnings.warn(*warn_args, **warn_kwargs)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/deprecation.py:122: FutureWarning: You are accessing a training score ('split4_train_score'), which will not be available by default any more in 0.21. If you need training scores, please set return_train_score=True
warnings.warn(*warn_args, **warn_kwargs)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/deprecation.py:122: FutureWarning: You are accessing a training score ('split3_train_score'), which will not be available by default any more in 0.21. If you need training scores, please set return_train_score=True
warnings.warn(*warn_args, **warn_kwargs)
ok
sklearn.model_selection.tests.test_search.test_transform_inverse_transform_round_trip ... [Parallel(n_jobs=1)]: Done 1 out of 1 | elapsed: 0.0s remaining: 0.0s
[Parallel(n_jobs=1)]: Done 2 out of 2 | elapsed: 0.0s remaining: 0.0s
[Parallel(n_jobs=1)]: Done 9 out of 9 | elapsed: 0.0s finished
ok
sklearn.model_selection.tests.test_split.test_2d_y ... ok
sklearn.model_selection.tests.test_split.test_kfold_valueerrors ... ok
sklearn.model_selection.tests.test_split.test_cross_validator_with_default_params ... ok
sklearn.model_selection.tests.test_split.test_repeated_cv_value_errors ... ok
sklearn.model_selection.tests.test_split.test_shufflesplit_errors ... ok
sklearn.model_selection.tests.test_split.test_stratified_shuffle_split_init ... ok
sklearn.model_selection.tests.test_split.train_test_split_pandas ... ok
sklearn.model_selection.tests.test_split.test_kfold_indices ... ok
sklearn.model_selection.tests.test_split.test_kfold_no_shuffle ... ok
sklearn.model_selection.tests.test_split.test_stratified_kfold_no_shuffle ... ok
sklearn.model_selection.tests.test_split.test_stratified_kfold_ratios ... ok
sklearn.model_selection.tests.test_split.test_kfold_balance ... ok
sklearn.model_selection.tests.test_split.test_stratifiedkfold_balance ... ok
sklearn.model_selection.tests.test_split.test_shuffle_kfold ... ok
sklearn.model_selection.tests.test_split.test_shuffle_kfold_stratifiedkfold_reproducibility ... /usr/lib/python2.7/dist-packages/numpy/testing/nose_tools/utils.py:763: DeprecationWarning: elementwise == comparison failed; this will raise an error in the future.
val = comparison(x, y)
ok
sklearn.model_selection.tests.test_split.test_shuffle_stratifiedkfold ... ok
sklearn.model_selection.tests.test_split.test_kfold_can_detect_dependent_samples_on_digits ... ok
sklearn.model_selection.tests.test_split.test_shuffle_split ... ok
sklearn.model_selection.tests.test_split.test_stratified_shuffle_split_respects_test_size ... ok
sklearn.model_selection.tests.test_split.test_stratified_shuffle_split_iter ... ok
sklearn.model_selection.tests.test_split.test_stratified_shuffle_split_even ... ok
sklearn.model_selection.tests.test_split.test_stratified_shuffle_split_overlap_train_test_bug ... ok
sklearn.model_selection.tests.test_split.test_stratified_shuffle_split_multilabel ... ok
sklearn.model_selection.tests.test_split.test_stratified_shuffle_split_multilabel_many_labels ... ok
sklearn.model_selection.tests.test_split.test_predefinedsplit_with_kfold_split ... ok
sklearn.model_selection.tests.test_split.test_group_shuffle_split ... ok
sklearn.model_selection.tests.test_split.test_leave_one_p_group_out ... ok
sklearn.model_selection.tests.test_split.test_leave_group_out_changing_groups ... ok
sklearn.model_selection.tests.test_split.test_leave_one_p_group_out_error_on_fewer_number_of_groups ... ok
sklearn.model_selection.tests.test_split.test_repeated_kfold_determinstic_split ... ok
sklearn.model_selection.tests.test_split.test_get_n_splits_for_repeated_kfold ... ok
sklearn.model_selection.tests.test_split.test_get_n_splits_for_repeated_stratified_kfold ... ok
sklearn.model_selection.tests.test_split.test_repeated_stratified_kfold_determinstic_split ... ok
sklearn.model_selection.tests.test_split.test_train_test_split_errors ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/model_selection/_split.py:2026: FutureWarning: From version 0.21, test_size will always complement train_size unless both are specified.
FutureWarning)
ok
sklearn.model_selection.tests.test_split.test_train_test_split ... ok
sklearn.model_selection.tests.test_split.train_test_split_sparse ... ok
sklearn.model_selection.tests.test_split.train_test_split_mock_pandas ... ok
sklearn.model_selection.tests.test_split.train_test_split_list_input ... ok
sklearn.model_selection.tests.test_split.test_shufflesplit_reproducible ... ok
sklearn.model_selection.tests.test_split.test_stratifiedshufflesplit_list_input ... ok
sklearn.model_selection.tests.test_split.test_train_test_split_allow_nans ... ok
sklearn.model_selection.tests.test_split.test_check_cv ... ok
sklearn.model_selection.tests.test_split.test_cv_iterable_wrapper ... ok
sklearn.model_selection.tests.test_split.test_group_kfold ... ok
sklearn.model_selection.tests.test_split.test_time_series_cv ... ok
sklearn.model_selection.tests.test_split.test_time_series_max_train_size ... ok
sklearn.model_selection.tests.test_split.test_nested_cv ... ok
sklearn.model_selection.tests.test_split.test_train_test_default_warning ... ok
sklearn.model_selection.tests.test_split.test_build_repr ... ok
sklearn.model_selection.tests.test_validation.test_cross_val_score ... ok
sklearn.model_selection.tests.test_validation.test_cross_validate_invalid_scoring_param ... ok
sklearn.model_selection.tests.test_validation.test_cross_validate(Ridge(alpha=1.0, copy_X=True, fit_intercept=True, max_iter=None, ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/deprecation.py:122: FutureWarning: You are accessing a training score ('train_score'), which will not be available by default any more in 0.21. If you need training scores, please set return_train_score=True
warnings.warn(*warn_args, **warn_kwargs)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/deprecation.py:122: FutureWarning: You are accessing a training score ('train_r2'), which will not be available by default any more in 0.21. If you need training scores, please set return_train_score=True
warnings.warn(*warn_args, **warn_kwargs)
ok
sklearn.model_selection.tests.test_validation.test_cross_validate(Ridge(alpha=1.0, copy_X=True, fit_intercept=True, max_iter=None, ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/deprecation.py:122: FutureWarning: You are accessing a training score ('train_neg_mean_squared_error'), which will not be available by default any more in 0.21. If you need training scores, please set return_train_score=True
warnings.warn(*warn_args, **warn_kwargs)
ok
sklearn.model_selection.tests.test_validation.test_cross_validate(Ridge(alpha=1.0, copy_X=True, fit_intercept=True, max_iter=None, ... ok
sklearn.model_selection.tests.test_validation.test_cross_validate(Ridge(alpha=1.0, copy_X=True, fit_intercept=True, max_iter=None, ... ok
sklearn.model_selection.tests.test_validation.test_cross_validate_return_train_score_warn ... ok
sklearn.model_selection.tests.test_validation.test_cross_val_score_predict_groups ... ok
sklearn.model_selection.tests.test_validation.test_cross_val_score_pandas ... ok
sklearn.model_selection.tests.test_validation.test_cross_val_score_mask ... ok
sklearn.model_selection.tests.test_validation.test_cross_val_score_precomputed ... ok
sklearn.model_selection.tests.test_validation.test_cross_val_score_fit_params ... ok
sklearn.model_selection.tests.test_validation.test_cross_val_score_score_func ... ok
sklearn.model_selection.tests.test_validation.test_cross_val_score_errors ... ok
sklearn.model_selection.tests.test_validation.test_cross_val_score_with_score_func_classification ... ok
sklearn.model_selection.tests.test_validation.test_cross_val_score_with_score_func_regression ... ok
sklearn.model_selection.tests.test_validation.test_permutation_score ... ok
sklearn.model_selection.tests.test_validation.test_permutation_test_score_allow_nans ... ok
sklearn.model_selection.tests.test_validation.test_cross_val_score_allow_nans ... ok
sklearn.model_selection.tests.test_validation.test_cross_val_score_multilabel ... ok
sklearn.model_selection.tests.test_validation.test_cross_val_predict ... ok
sklearn.model_selection.tests.test_validation.test_cross_val_predict_decision_function_shape ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/model_selection/_validation.py:768: RuntimeWarning: Number of classes in training fold (1) does not match total number of classes (2). Results may not be appropriate for your use case. To fix this, use a cross-validation technique resulting in properly stratified folds
RuntimeWarning)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/model_selection/_validation.py:768: RuntimeWarning: Number of classes in training fold (7) does not match total number of classes (10). Results may not be appropriate for your use case. To fix this, use a cross-validation technique resulting in properly stratified folds
RuntimeWarning)
ok
sklearn.model_selection.tests.test_validation.test_cross_val_predict_predict_proba_shape ... ok
sklearn.model_selection.tests.test_validation.test_cross_val_predict_predict_log_proba_shape ... ok
sklearn.model_selection.tests.test_validation.test_cross_val_predict_input_types ... ok
sklearn.model_selection.tests.test_validation.test_cross_val_predict_pandas ... ok
sklearn.model_selection.tests.test_validation.test_cross_val_score_sparse_fit_params ... ok
sklearn.model_selection.tests.test_validation.test_learning_curve ... ok
sklearn.model_selection.tests.test_validation.test_learning_curve_unsupervised ... ok
sklearn.model_selection.tests.test_validation.test_learning_curve_verbose ... [Parallel(n_jobs=1)]: Done 15 out of 15 | elapsed: 0.0s finished
ok
sklearn.model_selection.tests.test_validation.test_learning_curve_incremental_learning_not_possible ... ok
sklearn.model_selection.tests.test_validation.test_learning_curve_incremental_learning ... ok
sklearn.model_selection.tests.test_validation.test_learning_curve_incremental_learning_unsupervised ... ok
sklearn.model_selection.tests.test_validation.test_learning_curve_batch_and_incremental_learning_are_equal ... ok
sklearn.model_selection.tests.test_validation.test_learning_curve_n_sample_range_out_of_bounds ... ok
sklearn.model_selection.tests.test_validation.test_learning_curve_remove_duplicate_sample_sizes ... ok
sklearn.model_selection.tests.test_validation.test_learning_curve_with_boolean_indices ... ok
sklearn.model_selection.tests.test_validation.test_learning_curve_with_shuffle ... ok
sklearn.model_selection.tests.test_validation.test_validation_curve ... ok
sklearn.model_selection.tests.test_validation.test_validation_curve_clone_estimator ... ok
sklearn.model_selection.tests.test_validation.test_validation_curve_cv_splits_consistency ... ok
sklearn.model_selection.tests.test_validation.test_check_is_permutation ... ok
sklearn.model_selection.tests.test_validation.test_cross_val_predict_sparse_prediction ... ok
sklearn.model_selection.tests.test_validation.test_cross_val_predict_with_method ... ok
sklearn.model_selection.tests.test_validation.test_cross_val_predict_method_checking ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/linear_model/stochastic_gradient.py:128: FutureWarning: max_iter and tol parameters have been added in <class 'sklearn.linear_model.stochastic_gradient.SGDClassifier'> in 0.19. If both are left unset, they default to max_iter=5 and tol=None. If tol is not None, max_iter defaults to max_iter=1000. From 0.21, default max_iter will be 1000, and default tol will be 1e-3.
"and default tol will be 1e-3." % type(self), FutureWarning)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/linear_model/base.py:340: RuntimeWarning: overflow encountered in exp
np.exp(prob, prob)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/linear_model/stochastic_gradient.py:904: RuntimeWarning: divide by zero encountered in log
return np.log(self.predict_proba(X))
ok
sklearn.model_selection.tests.test_validation.test_gridsearchcv_cross_val_predict_with_method ... ok
sklearn.model_selection.tests.test_validation.test_cross_val_predict_class_subset ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/model_selection/_validation.py:768: RuntimeWarning: Number of classes in training fold (7) does not match total number of classes (10). Results may not be appropriate for your use case. To fix this, use a cross-validation technique resulting in properly stratified folds
RuntimeWarning)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/model_selection/_validation.py:768: RuntimeWarning: Number of classes in training fold (8) does not match total number of classes (10). Results may not be appropriate for your use case. To fix this, use a cross-validation technique resulting in properly stratified folds
RuntimeWarning)
ok
sklearn.model_selection.tests.test_validation.test_score_memmap ... ok
sklearn.model_selection.tests.test_validation.test_permutation_test_score_pandas ... ok
sklearn.neighbors.tests.test_approximate.test_lsh_forest_deprecation ... ok
sklearn.neighbors.tests.test_approximate.test_neighbors_accuracy_with_n_candidates ... ok
sklearn.neighbors.tests.test_approximate.test_neighbors_accuracy_with_n_estimators ... ok
sklearn.neighbors.tests.test_approximate.test_radius_neighbors ... ok
sklearn.neighbors.tests.test_approximate.test_kneighbors ... ok
sklearn.neighbors.tests.test_approximate.test_radius_neighbors_boundary_handling ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/random_projection.py:378: DataDimensionalityWarning: The number of components is higher than the number of features: n_features < n_components (2 < 32).The dimensionality of the problem will not be reduced.
DataDimensionalityWarning)
ok
sklearn.neighbors.tests.test_approximate.test_distances ... ok
sklearn.neighbors.tests.test_approximate.test_fit ... ok
sklearn.neighbors.tests.test_approximate.test_partial_fit ... ok
sklearn.neighbors.tests.test_approximate.test_hash_functions ... ok
sklearn.neighbors.tests.test_approximate.test_candidates ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/neighbors/approximate.py:291: UserWarning: Number of candidates is not sufficient to retrieve 3 neighbors with min_hash_match = 32. Candidates are filled up uniformly from unselected indices.
" indices." % (n_neighbors, self.min_hash_match))
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/neighbors/approximate.py:291: UserWarning: Number of candidates is not sufficient to retrieve 5 neighbors with min_hash_match = 31. Candidates are filled up uniformly from unselected indices.
" indices." % (n_neighbors, self.min_hash_match))
ok
sklearn.neighbors.tests.test_approximate.test_graphs ... ok
sklearn.neighbors.tests.test_approximate.test_sparse_input ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_query(True, True, 1, 'chebyshev', {}) ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_query(True, False, 1, 'chebyshev', {}) ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_query(False, True, 1, 'chebyshev', {}) ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_query(False, False, 1, 'chebyshev', {}) ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_query(True, True, 3, 'chebyshev', {}) ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_query(True, False, 3, 'chebyshev', {}) ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_query(False, True, 3, 'chebyshev', {}) ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_query(False, False, 3, 'chebyshev', {}) ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_query(True, True, 5, 'chebyshev', {}) ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_query(True, False, 5, 'chebyshev', {}) ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_query(False, True, 5, 'chebyshev', {}) ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_query(False, False, 5, 'chebyshev', {}) ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_query(True, True, 1, 'minkowski', {'p': 3}) ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_query(True, False, 1, 'minkowski', {'p': 3}) ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_query(False, True, 1, 'minkowski', {'p': 3}) ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_query(False, False, 1, 'minkowski', {'p': 3}) ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_query(True, True, 3, 'minkowski', {'p': 3}) ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_query(True, False, 3, 'minkowski', {'p': 3}) ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_query(False, True, 3, 'minkowski', {'p': 3}) ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_query(False, False, 3, 'minkowski', {'p': 3}) ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_query(True, True, 5, 'minkowski', {'p': 3}) ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_query(True, False, 5, 'minkowski', {'p': 3}) ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_query(False, True, 5, 'minkowski', {'p': 3}) ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_query(False, False, 5, 'minkowski', {'p': 3}) ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_query(True, True, 1, 'seuclidean', {'V': array([0.08833981, 0.68535982, 0.95339335])}) ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_query(True, False, 1, 'seuclidean', {'V': array([0.08833981, 0.68535982, 0.95339335])}) ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_query(False, True, 1, 'seuclidean', {'V': array([0.08833981, 0.68535982, 0.95339335])}) ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_query(False, False, 1, 'seuclidean', {'V': array([0.08833981, 0.68535982, 0.95339335])}) ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_query(True, True, 3, 'seuclidean', {'V': array([0.08833981, 0.68535982, 0.95339335])}) ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_query(True, False, 3, 'seuclidean', {'V': array([0.08833981, 0.68535982, 0.95339335])}) ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_query(False, True, 3, 'seuclidean', {'V': array([0.08833981, 0.68535982, 0.95339335])}) ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_query(False, False, 3, 'seuclidean', {'V': array([0.08833981, 0.68535982, 0.95339335])}) ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_query(True, True, 5, 'seuclidean', {'V': array([0.08833981, 0.68535982, 0.95339335])}) ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_query(True, False, 5, 'seuclidean', {'V': array([0.08833981, 0.68535982, 0.95339335])}) ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_query(False, True, 5, 'seuclidean', {'V': array([0.08833981, 0.68535982, 0.95339335])}) ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_query(False, False, 5, 'seuclidean', {'V': array([0.08833981, 0.68535982, 0.95339335])}) ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_query(True, True, 1, 'mahalanobis', {'V': array([[0.99687626, 0.73035488, 0.27570925], ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_query(True, False, 1, 'mahalanobis', {'V': array([[0.99687626, 0.73035488, 0.27570925], ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_query(False, True, 1, 'mahalanobis', {'V': array([[0.99687626, 0.73035488, 0.27570925], ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_query(False, False, 1, 'mahalanobis', {'V': array([[0.99687626, 0.73035488, 0.27570925], ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_query(True, True, 3, 'mahalanobis', {'V': array([[0.99687626, 0.73035488, 0.27570925], ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_query(True, False, 3, 'mahalanobis', {'V': array([[0.99687626, 0.73035488, 0.27570925], ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_query(False, True, 3, 'mahalanobis', {'V': array([[0.99687626, 0.73035488, 0.27570925], ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_query(False, False, 3, 'mahalanobis', {'V': array([[0.99687626, 0.73035488, 0.27570925], ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_query(True, True, 5, 'mahalanobis', {'V': array([[0.99687626, 0.73035488, 0.27570925], ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_query(True, False, 5, 'mahalanobis', {'V': array([[0.99687626, 0.73035488, 0.27570925], ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_query(False, True, 5, 'mahalanobis', {'V': array([[0.99687626, 0.73035488, 0.27570925], ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_query(False, False, 5, 'mahalanobis', {'V': array([[0.99687626, 0.73035488, 0.27570925], ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_query(True, True, 1, 'euclidean', {}) ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_query(True, False, 1, 'euclidean', {}) ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_query(False, True, 1, 'euclidean', {}) ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_query(False, False, 1, 'euclidean', {}) ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_query(True, True, 3, 'euclidean', {}) ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_query(True, False, 3, 'euclidean', {}) ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_query(False, True, 3, 'euclidean', {}) ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_query(False, False, 3, 'euclidean', {}) ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_query(True, True, 5, 'euclidean', {}) ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_query(True, False, 5, 'euclidean', {}) ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_query(False, True, 5, 'euclidean', {}) ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_query(False, False, 5, 'euclidean', {}) ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_query(True, True, 1, 'wminkowski', {'p': 3, 'w': array([0.00394827, 0.51219226, 0.81262096])}) ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_query(True, False, 1, 'wminkowski', {'p': 3, 'w': array([0.00394827, 0.51219226, 0.81262096])}) ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_query(False, True, 1, 'wminkowski', {'p': 3, 'w': array([0.00394827, 0.51219226, 0.81262096])}) ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_query(False, False, 1, 'wminkowski', {'p': 3, 'w': array([0.00394827, 0.51219226, 0.81262096])}) ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_query(True, True, 3, 'wminkowski', {'p': 3, 'w': array([0.00394827, 0.51219226, 0.81262096])}) ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_query(True, False, 3, 'wminkowski', {'p': 3, 'w': array([0.00394827, 0.51219226, 0.81262096])}) ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_query(False, True, 3, 'wminkowski', {'p': 3, 'w': array([0.00394827, 0.51219226, 0.81262096])}) ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_query(False, False, 3, 'wminkowski', {'p': 3, 'w': array([0.00394827, 0.51219226, 0.81262096])}) ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_query(True, True, 5, 'wminkowski', {'p': 3, 'w': array([0.00394827, 0.51219226, 0.81262096])}) ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_query(True, False, 5, 'wminkowski', {'p': 3, 'w': array([0.00394827, 0.51219226, 0.81262096])}) ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_query(False, True, 5, 'wminkowski', {'p': 3, 'w': array([0.00394827, 0.51219226, 0.81262096])}) ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_query(False, False, 5, 'wminkowski', {'p': 3, 'w': array([0.00394827, 0.51219226, 0.81262096])}) ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_query(True, True, 1, 'manhattan', {}) ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_query(True, False, 1, 'manhattan', {}) ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_query(False, True, 1, 'manhattan', {}) ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_query(False, False, 1, 'manhattan', {}) ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_query(True, True, 3, 'manhattan', {}) ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_query(True, False, 3, 'manhattan', {}) ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_query(False, True, 3, 'manhattan', {}) ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_query(False, False, 3, 'manhattan', {}) ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_query(True, True, 5, 'manhattan', {}) ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_query(True, False, 5, 'manhattan', {}) ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_query(False, True, 5, 'manhattan', {}) ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_query(False, False, 5, 'manhattan', {}) ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_query_boolean_metrics('matching',) ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_query_boolean_metrics('jaccard',) ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_query_boolean_metrics('dice',) ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_query_boolean_metrics('kulsinski',) ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_query_boolean_metrics('rogerstanimoto',) ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_query_boolean_metrics('russellrao',) ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_query_boolean_metrics('sokalmichener',) ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_query_boolean_metrics('sokalsneath',) ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_query_discrete_metrics('hamming',) ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_query_discrete_metrics('canberra',) ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_query_discrete_metrics('braycurtis',) ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_query_radius ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_query_radius_distance ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/neighbors/tests/test_ball_tree.py:145: RuntimeWarning: underflow encountered in exp
return norm * np.exp(-0.5 * (d * d) / (h * h)).sum(-1)
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('gaussian', 0.01, 1e-06, 0, True, <sklearn.neighbors.ball_tree.BallTree object at 0xf0bc1dc0>, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('gaussian', 0.01, 1e-06, 0, False, <sklearn.neighbors.ball_tree.BallTree object at 0xf0bc1dc0>, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('gaussian', 0.01, 0.01, 0, True, <sklearn.neighbors.ball_tree.BallTree object at 0xf0bc1dc0>, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('gaussian', 0.01, 0.01, 0, False, <sklearn.neighbors.ball_tree.BallTree object at 0xf0bc1dc0>, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('gaussian', 0.01, 1e-06, 1e-05, True, <sklearn.neighbors.ball_tree.BallTree object at 0xf0bc1dc0>, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('gaussian', 0.01, 1e-06, 1e-05, False, <sklearn.neighbors.ball_tree.BallTree object at 0xf0bc1dc0>, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('gaussian', 0.01, 0.01, 1e-05, True, <sklearn.neighbors.ball_tree.BallTree object at 0xf0bc1dc0>, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('gaussian', 0.01, 0.01, 1e-05, False, <sklearn.neighbors.ball_tree.BallTree object at 0xf0bc1dc0>, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('gaussian', 0.1, 1e-06, 0, True, <sklearn.neighbors.ball_tree.BallTree object at 0xf0bc1dc0>, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('gaussian', 0.1, 1e-06, 0, False, <sklearn.neighbors.ball_tree.BallTree object at 0xf0bc1dc0>, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('gaussian', 0.1, 0.01, 0, True, <sklearn.neighbors.ball_tree.BallTree object at 0xf0bc1dc0>, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('gaussian', 0.1, 0.01, 0, False, <sklearn.neighbors.ball_tree.BallTree object at 0xf0bc1dc0>, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('gaussian', 0.1, 1e-06, 1e-05, True, <sklearn.neighbors.ball_tree.BallTree object at 0xf0bc1dc0>, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('gaussian', 0.1, 1e-06, 1e-05, False, <sklearn.neighbors.ball_tree.BallTree object at 0xf0bc1dc0>, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('gaussian', 0.1, 0.01, 1e-05, True, <sklearn.neighbors.ball_tree.BallTree object at 0xf0bc1dc0>, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('gaussian', 0.1, 0.01, 1e-05, False, <sklearn.neighbors.ball_tree.BallTree object at 0xf0bc1dc0>, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('gaussian', 1, 1e-06, 0, True, <sklearn.neighbors.ball_tree.BallTree object at 0xf0bc1dc0>, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('gaussian', 1, 1e-06, 0, False, <sklearn.neighbors.ball_tree.BallTree object at 0xf0bc1dc0>, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('gaussian', 1, 0.01, 0, True, <sklearn.neighbors.ball_tree.BallTree object at 0xf0bc1dc0>, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('gaussian', 1, 0.01, 0, False, <sklearn.neighbors.ball_tree.BallTree object at 0xf0bc1dc0>, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('gaussian', 1, 1e-06, 1e-05, True, <sklearn.neighbors.ball_tree.BallTree object at 0xf0bc1dc0>, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('gaussian', 1, 1e-06, 1e-05, False, <sklearn.neighbors.ball_tree.BallTree object at 0xf0bc1dc0>, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('gaussian', 1, 0.01, 1e-05, True, <sklearn.neighbors.ball_tree.BallTree object at 0xf0bc1dc0>, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('gaussian', 1, 0.01, 1e-05, False, <sklearn.neighbors.ball_tree.BallTree object at 0xf0bc1dc0>, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('tophat', 0.01, 1e-06, 0, True, <sklearn.neighbors.ball_tree.BallTree object at 0xf0bc1dc0>, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('tophat', 0.01, 1e-06, 0, False, <sklearn.neighbors.ball_tree.BallTree object at 0xf0bc1dc0>, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('tophat', 0.01, 0.01, 0, True, <sklearn.neighbors.ball_tree.BallTree object at 0xf0bc1dc0>, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('tophat', 0.01, 0.01, 0, False, <sklearn.neighbors.ball_tree.BallTree object at 0xf0bc1dc0>, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('tophat', 0.01, 1e-06, 1e-05, True, <sklearn.neighbors.ball_tree.BallTree object at 0xf0bc1dc0>, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('tophat', 0.01, 1e-06, 1e-05, False, <sklearn.neighbors.ball_tree.BallTree object at 0xf0bc1dc0>, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('tophat', 0.01, 0.01, 1e-05, True, <sklearn.neighbors.ball_tree.BallTree object at 0xf0bc1dc0>, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('tophat', 0.01, 0.01, 1e-05, False, <sklearn.neighbors.ball_tree.BallTree object at 0xf0bc1dc0>, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('tophat', 0.1, 1e-06, 0, True, <sklearn.neighbors.ball_tree.BallTree object at 0xf0bc1dc0>, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('tophat', 0.1, 1e-06, 0, False, <sklearn.neighbors.ball_tree.BallTree object at 0xf0bc1dc0>, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('tophat', 0.1, 0.01, 0, True, <sklearn.neighbors.ball_tree.BallTree object at 0xf0bc1dc0>, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('tophat', 0.1, 0.01, 0, False, <sklearn.neighbors.ball_tree.BallTree object at 0xf0bc1dc0>, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('tophat', 0.1, 1e-06, 1e-05, True, <sklearn.neighbors.ball_tree.BallTree object at 0xf0bc1dc0>, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('tophat', 0.1, 1e-06, 1e-05, False, <sklearn.neighbors.ball_tree.BallTree object at 0xf0bc1dc0>, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('tophat', 0.1, 0.01, 1e-05, True, <sklearn.neighbors.ball_tree.BallTree object at 0xf0bc1dc0>, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('tophat', 0.1, 0.01, 1e-05, False, <sklearn.neighbors.ball_tree.BallTree object at 0xf0bc1dc0>, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('tophat', 1, 1e-06, 0, True, <sklearn.neighbors.ball_tree.BallTree object at 0xf0bc1dc0>, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('tophat', 1, 1e-06, 0, False, <sklearn.neighbors.ball_tree.BallTree object at 0xf0bc1dc0>, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('tophat', 1, 0.01, 0, True, <sklearn.neighbors.ball_tree.BallTree object at 0xf0bc1dc0>, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('tophat', 1, 0.01, 0, False, <sklearn.neighbors.ball_tree.BallTree object at 0xf0bc1dc0>, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('tophat', 1, 1e-06, 1e-05, True, <sklearn.neighbors.ball_tree.BallTree object at 0xf0bc1dc0>, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('tophat', 1, 1e-06, 1e-05, False, <sklearn.neighbors.ball_tree.BallTree object at 0xf0bc1dc0>, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('tophat', 1, 0.01, 1e-05, True, <sklearn.neighbors.ball_tree.BallTree object at 0xf0bc1dc0>, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('tophat', 1, 0.01, 1e-05, False, <sklearn.neighbors.ball_tree.BallTree object at 0xf0bc1dc0>, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('epanechnikov', 0.01, 1e-06, 0, True, <sklearn.neighbors.ball_tree.BallTree object at 0xf0bc1dc0>, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('epanechnikov', 0.01, 1e-06, 0, False, <sklearn.neighbors.ball_tree.BallTree object at 0xf0bc1dc0>, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('epanechnikov', 0.01, 0.01, 0, True, <sklearn.neighbors.ball_tree.BallTree object at 0xf0bc1dc0>, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('epanechnikov', 0.01, 0.01, 0, False, <sklearn.neighbors.ball_tree.BallTree object at 0xf0bc1dc0>, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('epanechnikov', 0.01, 1e-06, 1e-05, True, <sklearn.neighbors.ball_tree.BallTree object at 0xf0bc1dc0>, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('epanechnikov', 0.01, 1e-06, 1e-05, False, <sklearn.neighbors.ball_tree.BallTree object at 0xf0bc1dc0>, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('epanechnikov', 0.01, 0.01, 1e-05, True, <sklearn.neighbors.ball_tree.BallTree object at 0xf0bc1dc0>, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('epanechnikov', 0.01, 0.01, 1e-05, False, <sklearn.neighbors.ball_tree.BallTree object at 0xf0bc1dc0>, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('epanechnikov', 0.1, 1e-06, 0, True, <sklearn.neighbors.ball_tree.BallTree object at 0xf0bc1dc0>, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('epanechnikov', 0.1, 1e-06, 0, False, <sklearn.neighbors.ball_tree.BallTree object at 0xf0bc1dc0>, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('epanechnikov', 0.1, 0.01, 0, True, <sklearn.neighbors.ball_tree.BallTree object at 0xf0bc1dc0>, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('epanechnikov', 0.1, 0.01, 0, False, <sklearn.neighbors.ball_tree.BallTree object at 0xf0bc1dc0>, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('epanechnikov', 0.1, 1e-06, 1e-05, True, <sklearn.neighbors.ball_tree.BallTree object at 0xf0bc1dc0>, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('epanechnikov', 0.1, 1e-06, 1e-05, False, <sklearn.neighbors.ball_tree.BallTree object at 0xf0bc1dc0>, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('epanechnikov', 0.1, 0.01, 1e-05, True, <sklearn.neighbors.ball_tree.BallTree object at 0xf0bc1dc0>, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('epanechnikov', 0.1, 0.01, 1e-05, False, <sklearn.neighbors.ball_tree.BallTree object at 0xf0bc1dc0>, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('epanechnikov', 1, 1e-06, 0, True, <sklearn.neighbors.ball_tree.BallTree object at 0xf0bc1dc0>, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('epanechnikov', 1, 1e-06, 0, False, <sklearn.neighbors.ball_tree.BallTree object at 0xf0bc1dc0>, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('epanechnikov', 1, 0.01, 0, True, <sklearn.neighbors.ball_tree.BallTree object at 0xf0bc1dc0>, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('epanechnikov', 1, 0.01, 0, False, <sklearn.neighbors.ball_tree.BallTree object at 0xf0bc1dc0>, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('epanechnikov', 1, 1e-06, 1e-05, True, <sklearn.neighbors.ball_tree.BallTree object at 0xf0bc1dc0>, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('epanechnikov', 1, 1e-06, 1e-05, False, <sklearn.neighbors.ball_tree.BallTree object at 0xf0bc1dc0>, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('epanechnikov', 1, 0.01, 1e-05, True, <sklearn.neighbors.ball_tree.BallTree object at 0xf0bc1dc0>, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('epanechnikov', 1, 0.01, 1e-05, False, <sklearn.neighbors.ball_tree.BallTree object at 0xf0bc1dc0>, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('exponential', 0.01, 1e-06, 0, True, <sklearn.neighbors.ball_tree.BallTree object at 0xf0bc1dc0>, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('exponential', 0.01, 1e-06, 0, False, <sklearn.neighbors.ball_tree.BallTree object at 0xf0bc1dc0>, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('exponential', 0.01, 0.01, 0, True, <sklearn.neighbors.ball_tree.BallTree object at 0xf0bc1dc0>, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('exponential', 0.01, 0.01, 0, False, <sklearn.neighbors.ball_tree.BallTree object at 0xf0bc1dc0>, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('exponential', 0.01, 1e-06, 1e-05, True, <sklearn.neighbors.ball_tree.BallTree object at 0xf0bc1dc0>, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('exponential', 0.01, 1e-06, 1e-05, False, <sklearn.neighbors.ball_tree.BallTree object at 0xf0bc1dc0>, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('exponential', 0.01, 0.01, 1e-05, True, <sklearn.neighbors.ball_tree.BallTree object at 0xf0bc1dc0>, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('exponential', 0.01, 0.01, 1e-05, False, <sklearn.neighbors.ball_tree.BallTree object at 0xf0bc1dc0>, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('exponential', 0.1, 1e-06, 0, True, <sklearn.neighbors.ball_tree.BallTree object at 0xf0bc1dc0>, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('exponential', 0.1, 1e-06, 0, False, <sklearn.neighbors.ball_tree.BallTree object at 0xf0bc1dc0>, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('exponential', 0.1, 0.01, 0, True, <sklearn.neighbors.ball_tree.BallTree object at 0xf0bc1dc0>, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('exponential', 0.1, 0.01, 0, False, <sklearn.neighbors.ball_tree.BallTree object at 0xf0bc1dc0>, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('exponential', 0.1, 1e-06, 1e-05, True, <sklearn.neighbors.ball_tree.BallTree object at 0xf0bc1dc0>, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('exponential', 0.1, 1e-06, 1e-05, False, <sklearn.neighbors.ball_tree.BallTree object at 0xf0bc1dc0>, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('exponential', 0.1, 0.01, 1e-05, True, <sklearn.neighbors.ball_tree.BallTree object at 0xf0bc1dc0>, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('exponential', 0.1, 0.01, 1e-05, False, <sklearn.neighbors.ball_tree.BallTree object at 0xf0bc1dc0>, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('exponential', 1, 1e-06, 0, True, <sklearn.neighbors.ball_tree.BallTree object at 0xf0bc1dc0>, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('exponential', 1, 1e-06, 0, False, <sklearn.neighbors.ball_tree.BallTree object at 0xf0bc1dc0>, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('exponential', 1, 0.01, 0, True, <sklearn.neighbors.ball_tree.BallTree object at 0xf0bc1dc0>, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('exponential', 1, 0.01, 0, False, <sklearn.neighbors.ball_tree.BallTree object at 0xf0bc1dc0>, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('exponential', 1, 1e-06, 1e-05, True, <sklearn.neighbors.ball_tree.BallTree object at 0xf0bc1dc0>, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('exponential', 1, 1e-06, 1e-05, False, <sklearn.neighbors.ball_tree.BallTree object at 0xf0bc1dc0>, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('exponential', 1, 0.01, 1e-05, True, <sklearn.neighbors.ball_tree.BallTree object at 0xf0bc1dc0>, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('exponential', 1, 0.01, 1e-05, False, <sklearn.neighbors.ball_tree.BallTree object at 0xf0bc1dc0>, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('linear', 0.01, 1e-06, 0, True, <sklearn.neighbors.ball_tree.BallTree object at 0xf0bc1dc0>, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('linear', 0.01, 1e-06, 0, False, <sklearn.neighbors.ball_tree.BallTree object at 0xf0bc1dc0>, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('linear', 0.01, 0.01, 0, True, <sklearn.neighbors.ball_tree.BallTree object at 0xf0bc1dc0>, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('linear', 0.01, 0.01, 0, False, <sklearn.neighbors.ball_tree.BallTree object at 0xf0bc1dc0>, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('linear', 0.01, 1e-06, 1e-05, True, <sklearn.neighbors.ball_tree.BallTree object at 0xf0bc1dc0>, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('linear', 0.01, 1e-06, 1e-05, False, <sklearn.neighbors.ball_tree.BallTree object at 0xf0bc1dc0>, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('linear', 0.01, 0.01, 1e-05, True, <sklearn.neighbors.ball_tree.BallTree object at 0xf0bc1dc0>, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('linear', 0.01, 0.01, 1e-05, False, <sklearn.neighbors.ball_tree.BallTree object at 0xf0bc1dc0>, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('linear', 0.1, 1e-06, 0, True, <sklearn.neighbors.ball_tree.BallTree object at 0xf0bc1dc0>, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('linear', 0.1, 1e-06, 0, False, <sklearn.neighbors.ball_tree.BallTree object at 0xf0bc1dc0>, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('linear', 0.1, 0.01, 0, True, <sklearn.neighbors.ball_tree.BallTree object at 0xf0bc1dc0>, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('linear', 0.1, 0.01, 0, False, <sklearn.neighbors.ball_tree.BallTree object at 0xf0bc1dc0>, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('linear', 0.1, 1e-06, 1e-05, True, <sklearn.neighbors.ball_tree.BallTree object at 0xf0bc1dc0>, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('linear', 0.1, 1e-06, 1e-05, False, <sklearn.neighbors.ball_tree.BallTree object at 0xf0bc1dc0>, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('linear', 0.1, 0.01, 1e-05, True, <sklearn.neighbors.ball_tree.BallTree object at 0xf0bc1dc0>, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('linear', 0.1, 0.01, 1e-05, False, <sklearn.neighbors.ball_tree.BallTree object at 0xf0bc1dc0>, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('linear', 1, 1e-06, 0, True, <sklearn.neighbors.ball_tree.BallTree object at 0xf0bc1dc0>, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('linear', 1, 1e-06, 0, False, <sklearn.neighbors.ball_tree.BallTree object at 0xf0bc1dc0>, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('linear', 1, 0.01, 0, True, <sklearn.neighbors.ball_tree.BallTree object at 0xf0bc1dc0>, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('linear', 1, 0.01, 0, False, <sklearn.neighbors.ball_tree.BallTree object at 0xf0bc1dc0>, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('linear', 1, 1e-06, 1e-05, True, <sklearn.neighbors.ball_tree.BallTree object at 0xf0bc1dc0>, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('linear', 1, 1e-06, 1e-05, False, <sklearn.neighbors.ball_tree.BallTree object at 0xf0bc1dc0>, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('linear', 1, 0.01, 1e-05, True, <sklearn.neighbors.ball_tree.BallTree object at 0xf0bc1dc0>, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('linear', 1, 0.01, 1e-05, False, <sklearn.neighbors.ball_tree.BallTree object at 0xf0bc1dc0>, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('cosine', 0.01, 1e-06, 0, True, <sklearn.neighbors.ball_tree.BallTree object at 0xf0bc1dc0>, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('cosine', 0.01, 1e-06, 0, False, <sklearn.neighbors.ball_tree.BallTree object at 0xf0bc1dc0>, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('cosine', 0.01, 0.01, 0, True, <sklearn.neighbors.ball_tree.BallTree object at 0xf0bc1dc0>, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('cosine', 0.01, 0.01, 0, False, <sklearn.neighbors.ball_tree.BallTree object at 0xf0bc1dc0>, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('cosine', 0.01, 1e-06, 1e-05, True, <sklearn.neighbors.ball_tree.BallTree object at 0xf0bc1dc0>, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('cosine', 0.01, 1e-06, 1e-05, False, <sklearn.neighbors.ball_tree.BallTree object at 0xf0bc1dc0>, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('cosine', 0.01, 0.01, 1e-05, True, <sklearn.neighbors.ball_tree.BallTree object at 0xf0bc1dc0>, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('cosine', 0.01, 0.01, 1e-05, False, <sklearn.neighbors.ball_tree.BallTree object at 0xf0bc1dc0>, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('cosine', 0.1, 1e-06, 0, True, <sklearn.neighbors.ball_tree.BallTree object at 0xf0bc1dc0>, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('cosine', 0.1, 1e-06, 0, False, <sklearn.neighbors.ball_tree.BallTree object at 0xf0bc1dc0>, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('cosine', 0.1, 0.01, 0, True, <sklearn.neighbors.ball_tree.BallTree object at 0xf0bc1dc0>, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('cosine', 0.1, 0.01, 0, False, <sklearn.neighbors.ball_tree.BallTree object at 0xf0bc1dc0>, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('cosine', 0.1, 1e-06, 1e-05, True, <sklearn.neighbors.ball_tree.BallTree object at 0xf0bc1dc0>, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('cosine', 0.1, 1e-06, 1e-05, False, <sklearn.neighbors.ball_tree.BallTree object at 0xf0bc1dc0>, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('cosine', 0.1, 0.01, 1e-05, True, <sklearn.neighbors.ball_tree.BallTree object at 0xf0bc1dc0>, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('cosine', 0.1, 0.01, 1e-05, False, <sklearn.neighbors.ball_tree.BallTree object at 0xf0bc1dc0>, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('cosine', 1, 1e-06, 0, True, <sklearn.neighbors.ball_tree.BallTree object at 0xf0bc1dc0>, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('cosine', 1, 1e-06, 0, False, <sklearn.neighbors.ball_tree.BallTree object at 0xf0bc1dc0>, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('cosine', 1, 0.01, 0, True, <sklearn.neighbors.ball_tree.BallTree object at 0xf0bc1dc0>, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('cosine', 1, 0.01, 0, False, <sklearn.neighbors.ball_tree.BallTree object at 0xf0bc1dc0>, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('cosine', 1, 1e-06, 1e-05, True, <sklearn.neighbors.ball_tree.BallTree object at 0xf0bc1dc0>, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('cosine', 1, 1e-06, 1e-05, False, <sklearn.neighbors.ball_tree.BallTree object at 0xf0bc1dc0>, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('cosine', 1, 0.01, 1e-05, True, <sklearn.neighbors.ball_tree.BallTree object at 0xf0bc1dc0>, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('cosine', 1, 0.01, 1e-05, False, <sklearn.neighbors.ball_tree.BallTree object at 0xf0bc1dc0>, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_ball_tree.test_gaussian_kde ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/neighbors/tests/test_ball_tree.py:201: RuntimeWarning: underflow encountered in exp
dens_bt = bt.kernel_density(x_out[:, None], h) / n_samples
/usr/lib/python2.7/dist-packages/scipy/stats/kde.py:222: RuntimeWarning: underflow encountered in exp
result[i] = sum(exp(-energy), axis=0)
ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_two_point(array([0. , 0.11111111, 0.22222222, 0.33333333, 0.44444444, ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_two_point(array([0. , 0.11111111, 0.22222222, 0.33333333, 0.44444444, ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_pickle(0,) ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_pickle(1,) ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_pickle(2,) ... ok
sklearn.neighbors.tests.test_ball_tree.test_neighbors_heap ... ok
sklearn.neighbors.tests.test_ball_tree.test_node_heap ... ok
sklearn.neighbors.tests.test_ball_tree.test_simultaneous_sort ... ok
sklearn.neighbors.tests.test_ball_tree.test_query_haversine ... ok
sklearn.neighbors.tests.test_dist_metrics.TestMetrics.test_cdist('chebyshev', {}, array([[0.53861588, 0.45094267, 0.28419442, 0.41701564, 0.69508182, ... ok
sklearn.neighbors.tests.test_dist_metrics.TestMetrics.test_cdist('euclidean', {}, array([[0.67507694, 0.64211239, 0.37730269, 0.63475751, 0.9096805 , ... ok
sklearn.neighbors.tests.test_dist_metrics.TestMetrics.test_cdist('wminkowski', {'p': 1, 'w': array([0.31179588, 0.69634349, 0.37775184, 0.17960368])}, array([[0.51149072, 0.42978945, 0.28691315, 0.31414856, 0.67822857, ... ok
sklearn.neighbors.tests.test_dist_metrics.TestMetrics.test_cdist('wminkowski', {'p': 1.5, 'w': array([0.31179588, 0.69634349, 0.37775184, 0.17960368])}, array([[0.35478506, 0.34649572, 0.21080154, 0.22142038, 0.53671639, ... ok
sklearn.neighbors.tests.test_dist_metrics.TestMetrics.test_cdist('wminkowski', {'p': 3, 'w': array([0.31179588, 0.69634349, 0.37775184, 0.17960368])}, array([[0.26214981, 0.3151016 , 0.16585854, 0.16045352, 0.48619498, ... ok
sklearn.neighbors.tests.test_dist_metrics.TestMetrics.test_cdist('canberra', {}, array([[1.45964409, 1.25116805, 0.56385105, 1.46151151, 2.11940325, ... ok
sklearn.neighbors.tests.test_dist_metrics.TestMetrics.test_cdist('hamming', {}, array([[1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., ... ok
sklearn.neighbors.tests.test_dist_metrics.TestMetrics.test_cdist('minkowski', {'p': 1}, array([[1.21796151, 0.99804582, 0.64796144, 1.09320258, 1.49914561, ... ok
sklearn.neighbors.tests.test_dist_metrics.TestMetrics.test_cdist('minkowski', {'p': 1.5}, array([[0.8092389 , 0.73433834, 0.44607985, 0.75978393, 1.06004733, ... ok
sklearn.neighbors.tests.test_dist_metrics.TestMetrics.test_cdist('minkowski', {'p': 2}, array([[0.67507694, 0.64211239, 0.37730269, 0.63475751, 0.9096805 , ... ok
sklearn.neighbors.tests.test_dist_metrics.TestMetrics.test_cdist('minkowski', {'p': 3}, array([[0.58384805, 0.56795898, 0.32594322, 0.53204405, 0.79637583, ... ok
sklearn.neighbors.tests.test_dist_metrics.TestMetrics.test_cdist('cityblock', {}, array([[1.21796151, 0.99804582, 0.64796144, 1.09320258, 1.49914561, ... ok
sklearn.neighbors.tests.test_dist_metrics.TestMetrics.test_cdist('seuclidean', {'V': array([0.22741463, 0.25435648, 0.05802916, 0.43441663])}, array([[2.37482514, 1.1721197 , 1.26879784, 1.66071271, 1.85983097, ... ok
sklearn.neighbors.tests.test_dist_metrics.TestMetrics.test_cdist('mahalanobis', {'VI': array([[0.80314541, 0.98494408, 0.59389881, 1.16113843], ... ok
sklearn.neighbors.tests.test_dist_metrics.TestMetrics.test_cdist('braycurtis', {}, array([[0.31225657, 0.25850558, 0.13215958, 0.29289755, 0.38919585, ... ok
sklearn.neighbors.tests.test_dist_metrics.TestMetrics.test_cdist('matching', array([[0.75, 0.5 , 0.25, 0.75, 0.5 , 0.25, 0.25, 0.5 , 0.5 , 0. , 0. , ... ok
sklearn.neighbors.tests.test_dist_metrics.TestMetrics.test_cdist('jaccard', array([[0.75 , 0.5 , 0.25 , 0.75 , 0.5 , ... ok
sklearn.neighbors.tests.test_dist_metrics.TestMetrics.test_cdist('dice', array([[0.6 , 0.33333333, 0.14285714, 0.6 , 0.33333333, ... ok
sklearn.neighbors.tests.test_dist_metrics.TestMetrics.test_cdist('kulsinski', array([[0.85714286, 0.66666667, 0.4 , 0.85714286, 0.66666667, ... ok
sklearn.neighbors.tests.test_dist_metrics.TestMetrics.test_cdist('rogerstanimoto', array([[0.85714286, 0.66666667, 0.4 , 0.85714286, 0.66666667, ... ok
sklearn.neighbors.tests.test_dist_metrics.TestMetrics.test_cdist('russellrao', array([[0.75, 0.5 , 0.25, 0.75, 0.5 , 0.25, 0.25, 0.5 , 0.5 , 0. , 0. , ... ok
sklearn.neighbors.tests.test_dist_metrics.TestMetrics.test_cdist('sokalmichener', array([[0.85714286, 0.66666667, 0.4 , 0.85714286, 0.66666667, ... ok
sklearn.neighbors.tests.test_dist_metrics.TestMetrics.test_cdist('sokalsneath', array([[0.85714286, 0.66666667, 0.4 , 0.85714286, 0.66666667, ... ok
sklearn.neighbors.tests.test_dist_metrics.TestMetrics.test_pdist('chebyshev', {}, array([[0. , 0.34688982, 0.41484926, 0.53172732, 0.52859511, ... ok
sklearn.neighbors.tests.test_dist_metrics.TestMetrics.test_pdist('euclidean', {}, array([[0. , 0.40997835, 0.5640201 , 0.73274389, 0.65549553, ... ok
sklearn.neighbors.tests.test_dist_metrics.TestMetrics.test_pdist('wminkowski', {'p': 1, 'w': array([0.31179588, 0.69634349, 0.37775184, 0.17960368])}, array([[0. , 0.21197555, 0.43461091, 0.43558715, 0.37123525, ... ok
sklearn.neighbors.tests.test_dist_metrics.TestMetrics.test_pdist('wminkowski', {'p': 1.5, 'w': array([0.31179588, 0.69634349, 0.37775184, 0.17960368])}, array([[0. , 0.13471566, 0.31498027, 0.30704769, 0.24525516, ... ok
sklearn.neighbors.tests.test_dist_metrics.TestMetrics.test_pdist('wminkowski', {'p': 3, 'w': array([0.31179588, 0.69634349, 0.37775184, 0.17960368])}, array([[0. , 0.08691326, 0.24582898, 0.2276954 , 0.1766636 , ... ok
sklearn.neighbors.tests.test_dist_metrics.TestMetrics.test_pdist('canberra', {}, array([[0. , 0.57984003, 0.72664541, 1.65888213, 1.36160847, ... ok
sklearn.neighbors.tests.test_dist_metrics.TestMetrics.test_pdist('hamming', {}, array([[0., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., ... ok
sklearn.neighbors.tests.test_dist_metrics.TestMetrics.test_pdist('minkowski', {'p': 1}, array([[0. , 0.70651994, 0.95154703, 1.21911953, 1.14654793, ... ok
sklearn.neighbors.tests.test_dist_metrics.TestMetrics.test_pdist('minkowski', {'p': 1.5}, array([[0. , 0.48135148, 0.66512238, 0.85934453, 0.77585798, ... ok
sklearn.neighbors.tests.test_dist_metrics.TestMetrics.test_pdist('minkowski', {'p': 2}, array([[0. , 0.40997835, 0.5640201 , 0.73274389, 0.65549553, ... ok
sklearn.neighbors.tests.test_dist_metrics.TestMetrics.test_pdist('minkowski', {'p': 3}, array([[0. , 0.36478684, 0.48581161, 0.63461015, 0.57396051, ... ok
sklearn.neighbors.tests.test_dist_metrics.TestMetrics.test_pdist('cityblock', {}, array([[0. , 0.70651994, 0.95154703, 1.21911953, 1.14654793, ... ok
sklearn.neighbors.tests.test_dist_metrics.TestMetrics.test_pdist('seuclidean', {'V': array([0.22741463, 0.25435648, 0.05802916, 0.43441663])}, array([[0. , 0.91374016, 1.34363768, 2.35165824, 1.43398969, ... ok
sklearn.neighbors.tests.test_dist_metrics.TestMetrics.test_pdist('mahalanobis', {'VI': array([[0.80314541, 0.98494408, 0.59389881, 1.16113843], ... ok
sklearn.neighbors.tests.test_dist_metrics.TestMetrics.test_pdist('braycurtis', {}, array([[0. , 0.14686859, 0.1873355 , 0.30002036, 0.23338654, ... ok
sklearn.neighbors.tests.test_dist_metrics.TestMetrics.test_pdist('matching', array([[0. , 0.5 , 0.25, 0.5 , 0.25, 0.25, 0.5 , 0.5 , 0.5 , 0. , 0.75, ... ok
sklearn.neighbors.tests.test_dist_metrics.TestMetrics.test_pdist('jaccard', array([[0. , 0.5 , 0.25 , 0.5 , 0.25 , ... ok
sklearn.neighbors.tests.test_dist_metrics.TestMetrics.test_pdist('dice', array([[0. , 0.33333333, 0.14285714, 0.33333333, 0.14285714, ... ok
sklearn.neighbors.tests.test_dist_metrics.TestMetrics.test_pdist('kulsinski', array([[0. , 0.66666667, 0.4 , 0.66666667, 0.4 , ... ok
sklearn.neighbors.tests.test_dist_metrics.TestMetrics.test_pdist('rogerstanimoto', array([[0. , 0.66666667, 0.4 , 0.66666667, 0.4 , ... ok
sklearn.neighbors.tests.test_dist_metrics.TestMetrics.test_pdist('russellrao', array([[0. , 0.5 , 0.25, 0.5 , 0.25, 0.25, 0.5 , 0.5 , 0.5 , 0. , 0.75, ... ok
sklearn.neighbors.tests.test_dist_metrics.TestMetrics.test_pdist('sokalmichener', array([[0. , 0.66666667, 0.4 , 0.66666667, 0.4 , ... ok
sklearn.neighbors.tests.test_dist_metrics.TestMetrics.test_pdist('sokalsneath', array([[0. , 0.66666667, 0.4 , 0.66666667, 0.4 , ... ok
sklearn.neighbors.tests.test_dist_metrics.TestMetrics.test_pickle('chebyshev', {}) ... ok
sklearn.neighbors.tests.test_dist_metrics.TestMetrics.test_pickle('euclidean', {}) ... ok
sklearn.neighbors.tests.test_dist_metrics.TestMetrics.test_pickle('wminkowski', {'p': 1, 'w': array([0.31179588, 0.69634349, 0.37775184, 0.17960368])}) ... ok
sklearn.neighbors.tests.test_dist_metrics.TestMetrics.test_pickle('wminkowski', {'p': 1.5, 'w': array([0.31179588, 0.69634349, 0.37775184, 0.17960368])}) ... ok
sklearn.neighbors.tests.test_dist_metrics.TestMetrics.test_pickle('wminkowski', {'p': 3, 'w': array([0.31179588, 0.69634349, 0.37775184, 0.17960368])}) ... ok
sklearn.neighbors.tests.test_dist_metrics.TestMetrics.test_pickle('canberra', {}) ... ok
sklearn.neighbors.tests.test_dist_metrics.TestMetrics.test_pickle('hamming', {}) ... ok
sklearn.neighbors.tests.test_dist_metrics.TestMetrics.test_pickle('minkowski', {'p': 1}) ... ok
sklearn.neighbors.tests.test_dist_metrics.TestMetrics.test_pickle('minkowski', {'p': 1.5}) ... ok
sklearn.neighbors.tests.test_dist_metrics.TestMetrics.test_pickle('minkowski', {'p': 2}) ... ok
sklearn.neighbors.tests.test_dist_metrics.TestMetrics.test_pickle('minkowski', {'p': 3}) ... ok
sklearn.neighbors.tests.test_dist_metrics.TestMetrics.test_pickle('cityblock', {}) ... ok
sklearn.neighbors.tests.test_dist_metrics.TestMetrics.test_pickle('seuclidean', {'V': array([0.22741463, 0.25435648, 0.05802916, 0.43441663])}) ... ok
sklearn.neighbors.tests.test_dist_metrics.TestMetrics.test_pickle('mahalanobis', {'VI': array([[0.80314541, 0.98494408, 0.59389881, 1.16113843], ... ok
sklearn.neighbors.tests.test_dist_metrics.TestMetrics.test_pickle('braycurtis', {}) ... ok
sklearn.neighbors.tests.test_dist_metrics.TestMetrics.test_pickle('matching',) ... ok
sklearn.neighbors.tests.test_dist_metrics.TestMetrics.test_pickle('jaccard',) ... ok
sklearn.neighbors.tests.test_dist_metrics.TestMetrics.test_pickle('dice',) ... ok
sklearn.neighbors.tests.test_dist_metrics.TestMetrics.test_pickle('kulsinski',) ... ok
sklearn.neighbors.tests.test_dist_metrics.TestMetrics.test_pickle('rogerstanimoto',) ... ok
sklearn.neighbors.tests.test_dist_metrics.TestMetrics.test_pickle('russellrao',) ... ok
sklearn.neighbors.tests.test_dist_metrics.TestMetrics.test_pickle('sokalmichener',) ... ok
sklearn.neighbors.tests.test_dist_metrics.TestMetrics.test_pickle('sokalsneath',) ... ok
sklearn.neighbors.tests.test_dist_metrics.test_haversine_metric ... ok
sklearn.neighbors.tests.test_dist_metrics.test_pyfunc_metric ... ok
sklearn.neighbors.tests.test_dist_metrics.test_bad_pyfunc_metric ... ok
sklearn.neighbors.tests.test_dist_metrics.test_input_data_size ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_query(True, True, 1, 'chebyshev', array([[0.5488135 , 0.71518937, 0.60276338], ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_query(True, False, 1, 'chebyshev', array([[0.5488135 , 0.71518937, 0.60276338], ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_query(False, True, 1, 'chebyshev', array([[0.5488135 , 0.71518937, 0.60276338], ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_query(False, False, 1, 'chebyshev', array([[0.5488135 , 0.71518937, 0.60276338], ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_query(True, True, 3, 'chebyshev', array([[0.5488135 , 0.71518937, 0.60276338], ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_query(True, False, 3, 'chebyshev', array([[0.5488135 , 0.71518937, 0.60276338], ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_query(False, True, 3, 'chebyshev', array([[0.5488135 , 0.71518937, 0.60276338], ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_query(False, False, 3, 'chebyshev', array([[0.5488135 , 0.71518937, 0.60276338], ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_query(True, True, 5, 'chebyshev', array([[0.5488135 , 0.71518937, 0.60276338], ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_query(True, False, 5, 'chebyshev', array([[0.5488135 , 0.71518937, 0.60276338], ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_query(False, True, 5, 'chebyshev', array([[0.5488135 , 0.71518937, 0.60276338], ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_query(False, False, 5, 'chebyshev', array([[0.5488135 , 0.71518937, 0.60276338], ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_query(True, True, 1, 'euclidean', array([[0.5488135 , 0.71518937, 0.60276338], ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_query(True, False, 1, 'euclidean', array([[0.5488135 , 0.71518937, 0.60276338], ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_query(False, True, 1, 'euclidean', array([[0.5488135 , 0.71518937, 0.60276338], ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_query(False, False, 1, 'euclidean', array([[0.5488135 , 0.71518937, 0.60276338], ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_query(True, True, 3, 'euclidean', array([[0.5488135 , 0.71518937, 0.60276338], ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_query(True, False, 3, 'euclidean', array([[0.5488135 , 0.71518937, 0.60276338], ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_query(False, True, 3, 'euclidean', array([[0.5488135 , 0.71518937, 0.60276338], ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_query(False, False, 3, 'euclidean', array([[0.5488135 , 0.71518937, 0.60276338], ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_query(True, True, 5, 'euclidean', array([[0.5488135 , 0.71518937, 0.60276338], ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_query(True, False, 5, 'euclidean', array([[0.5488135 , 0.71518937, 0.60276338], ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_query(False, True, 5, 'euclidean', array([[0.5488135 , 0.71518937, 0.60276338], ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_query(False, False, 5, 'euclidean', array([[0.5488135 , 0.71518937, 0.60276338], ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_query(True, True, 1, 'manhattan', array([[0.5488135 , 0.71518937, 0.60276338], ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_query(True, False, 1, 'manhattan', array([[0.5488135 , 0.71518937, 0.60276338], ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_query(False, True, 1, 'manhattan', array([[0.5488135 , 0.71518937, 0.60276338], ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_query(False, False, 1, 'manhattan', array([[0.5488135 , 0.71518937, 0.60276338], ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_query(True, True, 3, 'manhattan', array([[0.5488135 , 0.71518937, 0.60276338], ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_query(True, False, 3, 'manhattan', array([[0.5488135 , 0.71518937, 0.60276338], ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_query(False, True, 3, 'manhattan', array([[0.5488135 , 0.71518937, 0.60276338], ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_query(False, False, 3, 'manhattan', array([[0.5488135 , 0.71518937, 0.60276338], ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_query(True, True, 5, 'manhattan', array([[0.5488135 , 0.71518937, 0.60276338], ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_query(True, False, 5, 'manhattan', array([[0.5488135 , 0.71518937, 0.60276338], ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_query(False, True, 5, 'manhattan', array([[0.5488135 , 0.71518937, 0.60276338], ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_query(False, False, 5, 'manhattan', array([[0.5488135 , 0.71518937, 0.60276338], ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_query(True, True, 1, 'minkowski', array([[0.5488135 , 0.71518937, 0.60276338], ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_query(True, False, 1, 'minkowski', array([[0.5488135 , 0.71518937, 0.60276338], ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_query(False, True, 1, 'minkowski', array([[0.5488135 , 0.71518937, 0.60276338], ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_query(False, False, 1, 'minkowski', array([[0.5488135 , 0.71518937, 0.60276338], ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_query(True, True, 3, 'minkowski', array([[0.5488135 , 0.71518937, 0.60276338], ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_query(True, False, 3, 'minkowski', array([[0.5488135 , 0.71518937, 0.60276338], ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_query(False, True, 3, 'minkowski', array([[0.5488135 , 0.71518937, 0.60276338], ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_query(False, False, 3, 'minkowski', array([[0.5488135 , 0.71518937, 0.60276338], ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_query(True, True, 5, 'minkowski', array([[0.5488135 , 0.71518937, 0.60276338], ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_query(True, False, 5, 'minkowski', array([[0.5488135 , 0.71518937, 0.60276338], ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_query(False, True, 5, 'minkowski', array([[0.5488135 , 0.71518937, 0.60276338], ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_query(False, False, 5, 'minkowski', array([[0.5488135 , 0.71518937, 0.60276338], ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_query_radius ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_query_radius_distance ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/neighbors/tests/test_kd_tree.py:98: RuntimeWarning: underflow encountered in exp
return norm * np.exp(-0.5 * (d * d) / (h * h)).sum(-1)
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('gaussian', 0.01, 1e-06, 0, True, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('gaussian', 0.01, 1e-06, 0, False, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('gaussian', 0.01, 0.01, 0, True, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('gaussian', 0.01, 0.01, 0, False, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('gaussian', 0.01, 1e-06, 1e-05, True, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('gaussian', 0.01, 1e-06, 1e-05, False, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('gaussian', 0.01, 0.01, 1e-05, True, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('gaussian', 0.01, 0.01, 1e-05, False, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('gaussian', 0.1, 1e-06, 0, True, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('gaussian', 0.1, 1e-06, 0, False, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('gaussian', 0.1, 0.01, 0, True, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('gaussian', 0.1, 0.01, 0, False, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('gaussian', 0.1, 1e-06, 1e-05, True, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('gaussian', 0.1, 1e-06, 1e-05, False, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('gaussian', 0.1, 0.01, 1e-05, True, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('gaussian', 0.1, 0.01, 1e-05, False, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('gaussian', 1, 1e-06, 0, True, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('gaussian', 1, 1e-06, 0, False, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('gaussian', 1, 0.01, 0, True, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('gaussian', 1, 0.01, 0, False, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('gaussian', 1, 1e-06, 1e-05, True, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('gaussian', 1, 1e-06, 1e-05, False, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('gaussian', 1, 0.01, 1e-05, True, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('gaussian', 1, 0.01, 1e-05, False, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('tophat', 0.01, 1e-06, 0, True, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('tophat', 0.01, 1e-06, 0, False, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('tophat', 0.01, 0.01, 0, True, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('tophat', 0.01, 0.01, 0, False, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('tophat', 0.01, 1e-06, 1e-05, True, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('tophat', 0.01, 1e-06, 1e-05, False, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('tophat', 0.01, 0.01, 1e-05, True, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('tophat', 0.01, 0.01, 1e-05, False, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('tophat', 0.1, 1e-06, 0, True, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('tophat', 0.1, 1e-06, 0, False, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('tophat', 0.1, 0.01, 0, True, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('tophat', 0.1, 0.01, 0, False, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('tophat', 0.1, 1e-06, 1e-05, True, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('tophat', 0.1, 1e-06, 1e-05, False, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('tophat', 0.1, 0.01, 1e-05, True, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('tophat', 0.1, 0.01, 1e-05, False, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('tophat', 1, 1e-06, 0, True, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('tophat', 1, 1e-06, 0, False, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('tophat', 1, 0.01, 0, True, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('tophat', 1, 0.01, 0, False, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('tophat', 1, 1e-06, 1e-05, True, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('tophat', 1, 1e-06, 1e-05, False, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('tophat', 1, 0.01, 1e-05, True, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('tophat', 1, 0.01, 1e-05, False, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('epanechnikov', 0.01, 1e-06, 0, True, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('epanechnikov', 0.01, 1e-06, 0, False, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('epanechnikov', 0.01, 0.01, 0, True, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('epanechnikov', 0.01, 0.01, 0, False, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('epanechnikov', 0.01, 1e-06, 1e-05, True, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('epanechnikov', 0.01, 1e-06, 1e-05, False, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('epanechnikov', 0.01, 0.01, 1e-05, True, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('epanechnikov', 0.01, 0.01, 1e-05, False, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('epanechnikov', 0.1, 1e-06, 0, True, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('epanechnikov', 0.1, 1e-06, 0, False, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('epanechnikov', 0.1, 0.01, 0, True, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('epanechnikov', 0.1, 0.01, 0, False, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('epanechnikov', 0.1, 1e-06, 1e-05, True, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('epanechnikov', 0.1, 1e-06, 1e-05, False, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('epanechnikov', 0.1, 0.01, 1e-05, True, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('epanechnikov', 0.1, 0.01, 1e-05, False, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('epanechnikov', 1, 1e-06, 0, True, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('epanechnikov', 1, 1e-06, 0, False, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('epanechnikov', 1, 0.01, 0, True, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('epanechnikov', 1, 0.01, 0, False, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('epanechnikov', 1, 1e-06, 1e-05, True, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('epanechnikov', 1, 1e-06, 1e-05, False, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('epanechnikov', 1, 0.01, 1e-05, True, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('epanechnikov', 1, 0.01, 1e-05, False, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('exponential', 0.01, 1e-06, 0, True, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('exponential', 0.01, 1e-06, 0, False, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('exponential', 0.01, 0.01, 0, True, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('exponential', 0.01, 0.01, 0, False, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('exponential', 0.01, 1e-06, 1e-05, True, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('exponential', 0.01, 1e-06, 1e-05, False, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('exponential', 0.01, 0.01, 1e-05, True, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('exponential', 0.01, 0.01, 1e-05, False, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('exponential', 0.1, 1e-06, 0, True, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('exponential', 0.1, 1e-06, 0, False, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('exponential', 0.1, 0.01, 0, True, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('exponential', 0.1, 0.01, 0, False, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('exponential', 0.1, 1e-06, 1e-05, True, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('exponential', 0.1, 1e-06, 1e-05, False, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('exponential', 0.1, 0.01, 1e-05, True, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('exponential', 0.1, 0.01, 1e-05, False, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('exponential', 1, 1e-06, 0, True, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('exponential', 1, 1e-06, 0, False, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('exponential', 1, 0.01, 0, True, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('exponential', 1, 0.01, 0, False, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('exponential', 1, 1e-06, 1e-05, True, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('exponential', 1, 1e-06, 1e-05, False, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('exponential', 1, 0.01, 1e-05, True, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('exponential', 1, 0.01, 1e-05, False, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('linear', 0.01, 1e-06, 0, True, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('linear', 0.01, 1e-06, 0, False, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('linear', 0.01, 0.01, 0, True, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('linear', 0.01, 0.01, 0, False, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('linear', 0.01, 1e-06, 1e-05, True, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('linear', 0.01, 1e-06, 1e-05, False, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('linear', 0.01, 0.01, 1e-05, True, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('linear', 0.01, 0.01, 1e-05, False, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('linear', 0.1, 1e-06, 0, True, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('linear', 0.1, 1e-06, 0, False, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('linear', 0.1, 0.01, 0, True, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('linear', 0.1, 0.01, 0, False, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('linear', 0.1, 1e-06, 1e-05, True, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('linear', 0.1, 1e-06, 1e-05, False, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('linear', 0.1, 0.01, 1e-05, True, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('linear', 0.1, 0.01, 1e-05, False, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('linear', 1, 1e-06, 0, True, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('linear', 1, 1e-06, 0, False, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('linear', 1, 0.01, 0, True, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('linear', 1, 0.01, 0, False, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('linear', 1, 1e-06, 1e-05, True, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('linear', 1, 1e-06, 1e-05, False, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('linear', 1, 0.01, 1e-05, True, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('linear', 1, 0.01, 1e-05, False, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('cosine', 0.01, 1e-06, 0, True, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('cosine', 0.01, 1e-06, 0, False, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('cosine', 0.01, 0.01, 0, True, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('cosine', 0.01, 0.01, 0, False, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('cosine', 0.01, 1e-06, 1e-05, True, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('cosine', 0.01, 1e-06, 1e-05, False, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('cosine', 0.01, 0.01, 1e-05, True, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('cosine', 0.01, 0.01, 1e-05, False, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('cosine', 0.1, 1e-06, 0, True, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('cosine', 0.1, 1e-06, 0, False, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('cosine', 0.1, 0.01, 0, True, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('cosine', 0.1, 0.01, 0, False, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('cosine', 0.1, 1e-06, 1e-05, True, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('cosine', 0.1, 1e-06, 1e-05, False, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('cosine', 0.1, 0.01, 1e-05, True, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('cosine', 0.1, 0.01, 1e-05, False, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('cosine', 1, 1e-06, 0, True, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('cosine', 1, 1e-06, 0, False, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('cosine', 1, 0.01, 0, True, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('cosine', 1, 0.01, 0, False, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('cosine', 1, 1e-06, 1e-05, True, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('cosine', 1, 1e-06, 1e-05, False, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('cosine', 1, 0.01, 1e-05, True, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('cosine', 1, 0.01, 1e-05, False, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_kd_tree.test_gaussian_kde ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/neighbors/tests/test_kd_tree.py:153: RuntimeWarning: underflow encountered in exp
dens_kdt = kdt.kernel_density(x_out[:, None], h) / n_samples
ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_two_point(array([0. , 0.11111111, 0.22222222, 0.33333333, 0.44444444, ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_two_point(array([0. , 0.11111111, 0.22222222, 0.33333333, 0.44444444, ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_pickle(0,) ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_pickle(1,) ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_pickle(2,) ... ok
sklearn.neighbors.tests.test_kd_tree.test_neighbors_heap ... ok
sklearn.neighbors.tests.test_kd_tree.test_node_heap ... ok
sklearn.neighbors.tests.test_kd_tree.test_simultaneous_sort ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/neighbors/tests/test_kde.py:17: RuntimeWarning: underflow encountered in exp
return norm * np.exp(-0.5 * (d * d) / (h * h)).sum(-1)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/neighbors/tests/test_kde.py:17: RuntimeWarning: underflow encountered in multiply
return norm * np.exp(-0.5 * (d * d) / (h * h)).sum(-1)
sklearn.neighbors.tests.test_kde.test_kernel_density('gaussian', 0.01, 1e-06, 0, array([[ 1.76405235, 0.40015721, 0.97873798], ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/neighbors/tests/test_kde.py:36: RuntimeWarning: underflow encountered in exp
assert_allclose(np.exp(log_dens), dens_true,
/usr/lib/python2.7/dist-packages/numpy/core/numeric.py:2321: RuntimeWarning: underflow encountered in multiply
return less_equal(abs(x-y), atol + rtol * abs(y))
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/neighbors/tests/test_kde.py:38: RuntimeWarning: underflow encountered in exp
assert_allclose(np.exp(kde.score(Y)),
ok
sklearn.neighbors.tests.test_kde.test_kernel_density('gaussian', 0.01, 1e-06, 0, array([[ 1.76405235, 0.40015721, 0.97873798], ... ok
sklearn.neighbors.tests.test_kde.test_kernel_density('gaussian', 0.01, 0.01, 0, array([[ 1.76405235, 0.40015721, 0.97873798], ... ok
sklearn.neighbors.tests.test_kde.test_kernel_density('gaussian', 0.01, 0.01, 0, array([[ 1.76405235, 0.40015721, 0.97873798], ... ok
sklearn.neighbors.tests.test_kde.test_kernel_density('gaussian', 0.01, 1e-06, 1e-05, array([[ 1.76405235, 0.40015721, 0.97873798], ... ok
sklearn.neighbors.tests.test_kde.test_kernel_density('gaussian', 0.01, 1e-06, 1e-05, array([[ 1.76405235, 0.40015721, 0.97873798], ... ok
sklearn.neighbors.tests.test_kde.test_kernel_density('gaussian', 0.01, 0.01, 1e-05, array([[ 1.76405235, 0.40015721, 0.97873798], ... ok
sklearn.neighbors.tests.test_kde.test_kernel_density('gaussian', 0.01, 0.01, 1e-05, array([[ 1.76405235, 0.40015721, 0.97873798], ... ok
sklearn.neighbors.tests.test_kde.test_kernel_density('gaussian', 0.1, 1e-06, 0, array([[ 1.76405235, 0.40015721, 0.97873798], ... /usr/lib/python2.7/dist-packages/numpy/core/_methods.py:35: RuntimeWarning: underflow encountered in reduce
return umr_prod(a, axis, dtype, out, keepdims)
ok
sklearn.neighbors.tests.test_kde.test_kernel_density('gaussian', 0.1, 1e-06, 0, array([[ 1.76405235, 0.40015721, 0.97873798], ... ok
sklearn.neighbors.tests.test_kde.test_kernel_density('gaussian', 0.1, 0.01, 0, array([[ 1.76405235, 0.40015721, 0.97873798], ... ok
sklearn.neighbors.tests.test_kde.test_kernel_density('gaussian', 0.1, 0.01, 0, array([[ 1.76405235, 0.40015721, 0.97873798], ... ok
sklearn.neighbors.tests.test_kde.test_kernel_density('gaussian', 0.1, 1e-06, 1e-05, array([[ 1.76405235, 0.40015721, 0.97873798], ... ok
sklearn.neighbors.tests.test_kde.test_kernel_density('gaussian', 0.1, 1e-06, 1e-05, array([[ 1.76405235, 0.40015721, 0.97873798], ... ok
sklearn.neighbors.tests.test_kde.test_kernel_density('gaussian', 0.1, 0.01, 1e-05, array([[ 1.76405235, 0.40015721, 0.97873798], ... ok
sklearn.neighbors.tests.test_kde.test_kernel_density('gaussian', 0.1, 0.01, 1e-05, array([[ 1.76405235, 0.40015721, 0.97873798], ... ok
sklearn.neighbors.tests.test_kde.test_kernel_density('gaussian', 1, 1e-06, 0, array([[ 1.76405235, 0.40015721, 0.97873798], ... ok
sklearn.neighbors.tests.test_kde.test_kernel_density('gaussian', 1, 1e-06, 0, array([[ 1.76405235, 0.40015721, 0.97873798], ... ok
sklearn.neighbors.tests.test_kde.test_kernel_density('gaussian', 1, 0.01, 0, array([[ 1.76405235, 0.40015721, 0.97873798], ... ok
sklearn.neighbors.tests.test_kde.test_kernel_density('gaussian', 1, 0.01, 0, array([[ 1.76405235, 0.40015721, 0.97873798], ... ok
sklearn.neighbors.tests.test_kde.test_kernel_density('gaussian', 1, 1e-06, 1e-05, array([[ 1.76405235, 0.40015721, 0.97873798], ... ok
sklearn.neighbors.tests.test_kde.test_kernel_density('gaussian', 1, 1e-06, 1e-05, array([[ 1.76405235, 0.40015721, 0.97873798], ... ok
sklearn.neighbors.tests.test_kde.test_kernel_density('gaussian', 1, 0.01, 1e-05, array([[ 1.76405235, 0.40015721, 0.97873798], ... ok
sklearn.neighbors.tests.test_kde.test_kernel_density('gaussian', 1, 0.01, 1e-05, array([[ 1.76405235, 0.40015721, 0.97873798], ... ok
sklearn.neighbors.tests.test_kde.test_kernel_density('tophat', 0.01, 1e-06, 0, array([[ 1.76405235, 0.40015721, 0.97873798], ... ok
sklearn.neighbors.tests.test_kde.test_kernel_density('tophat', 0.01, 1e-06, 0, array([[ 1.76405235, 0.40015721, 0.97873798], ... ok
sklearn.neighbors.tests.test_kde.test_kernel_density('tophat', 0.01, 0.01, 0, array([[ 1.76405235, 0.40015721, 0.97873798], ... ok
sklearn.neighbors.tests.test_kde.test_kernel_density('tophat', 0.01, 0.01, 0, array([[ 1.76405235, 0.40015721, 0.97873798], ... ok
sklearn.neighbors.tests.test_kde.test_kernel_density('tophat', 0.01, 1e-06, 1e-05, array([[ 1.76405235, 0.40015721, 0.97873798], ... ok
sklearn.neighbors.tests.test_kde.test_kernel_density('tophat', 0.01, 1e-06, 1e-05, array([[ 1.76405235, 0.40015721, 0.97873798], ... ok
sklearn.neighbors.tests.test_kde.test_kernel_density('tophat', 0.01, 0.01, 1e-05, array([[ 1.76405235, 0.40015721, 0.97873798], ... ok
sklearn.neighbors.tests.test_kde.test_kernel_density('tophat', 0.01, 0.01, 1e-05, array([[ 1.76405235, 0.40015721, 0.97873798], ... ok
sklearn.neighbors.tests.test_kde.test_kernel_density('tophat', 0.1, 1e-06, 0, array([[ 1.76405235, 0.40015721, 0.97873798], ... ok
sklearn.neighbors.tests.test_kde.test_kernel_density('tophat', 0.1, 1e-06, 0, array([[ 1.76405235, 0.40015721, 0.97873798], ... ok
sklearn.neighbors.tests.test_kde.test_kernel_density('tophat', 0.1, 0.01, 0, array([[ 1.76405235, 0.40015721, 0.97873798], ... ok
sklearn.neighbors.tests.test_kde.test_kernel_density('tophat', 0.1, 0.01, 0, array([[ 1.76405235, 0.40015721, 0.97873798], ... ok
sklearn.neighbors.tests.test_kde.test_kernel_density('tophat', 0.1, 1e-06, 1e-05, array([[ 1.76405235, 0.40015721, 0.97873798], ... ok
sklearn.neighbors.tests.test_kde.test_kernel_density('tophat', 0.1, 1e-06, 1e-05, array([[ 1.76405235, 0.40015721, 0.97873798], ... ok
sklearn.neighbors.tests.test_kde.test_kernel_density('tophat', 0.1, 0.01, 1e-05, array([[ 1.76405235, 0.40015721, 0.97873798], ... ok
sklearn.neighbors.tests.test_kde.test_kernel_density('tophat', 0.1, 0.01, 1e-05, array([[ 1.76405235, 0.40015721, 0.97873798], ... ok
sklearn.neighbors.tests.test_kde.test_kernel_density('tophat', 1, 1e-06, 0, array([[ 1.76405235, 0.40015721, 0.97873798], ... ok
sklearn.neighbors.tests.test_kde.test_kernel_density('tophat', 1, 1e-06, 0, array([[ 1.76405235, 0.40015721, 0.97873798], ... ok
sklearn.neighbors.tests.test_kde.test_kernel_density('tophat', 1, 0.01, 0, array([[ 1.76405235, 0.40015721, 0.97873798], ... ok
sklearn.neighbors.tests.test_kde.test_kernel_density('tophat', 1, 0.01, 0, array([[ 1.76405235, 0.40015721, 0.97873798], ... ok
sklearn.neighbors.tests.test_kde.test_kernel_density('tophat', 1, 1e-06, 1e-05, array([[ 1.76405235, 0.40015721, 0.97873798], ... ok
sklearn.neighbors.tests.test_kde.test_kernel_density('tophat', 1, 1e-06, 1e-05, array([[ 1.76405235, 0.40015721, 0.97873798], ... ok
sklearn.neighbors.tests.test_kde.test_kernel_density('tophat', 1, 0.01, 1e-05, array([[ 1.76405235, 0.40015721, 0.97873798], ... ok
sklearn.neighbors.tests.test_kde.test_kernel_density('tophat', 1, 0.01, 1e-05, array([[ 1.76405235, 0.40015721, 0.97873798], ... ok
sklearn.neighbors.tests.test_kde.test_kernel_density('epanechnikov', 0.01, 1e-06, 0, array([[ 1.76405235, 0.40015721, 0.97873798], ... ok
sklearn.neighbors.tests.test_kde.test_kernel_density('epanechnikov', 0.01, 1e-06, 0, array([[ 1.76405235, 0.40015721, 0.97873798], ... ok
sklearn.neighbors.tests.test_kde.test_kernel_density('epanechnikov', 0.01, 0.01, 0, array([[ 1.76405235, 0.40015721, 0.97873798], ... ok
sklearn.neighbors.tests.test_kde.test_kernel_density('epanechnikov', 0.01, 0.01, 0, array([[ 1.76405235, 0.40015721, 0.97873798], ... ok
sklearn.neighbors.tests.test_kde.test_kernel_density('epanechnikov', 0.01, 1e-06, 1e-05, array([[ 1.76405235, 0.40015721, 0.97873798], ... ok
sklearn.neighbors.tests.test_kde.test_kernel_density('epanechnikov', 0.01, 1e-06, 1e-05, array([[ 1.76405235, 0.40015721, 0.97873798], ... ok
sklearn.neighbors.tests.test_kde.test_kernel_density('epanechnikov', 0.01, 0.01, 1e-05, array([[ 1.76405235, 0.40015721, 0.97873798], ... ok
sklearn.neighbors.tests.test_kde.test_kernel_density('epanechnikov', 0.01, 0.01, 1e-05, array([[ 1.76405235, 0.40015721, 0.97873798], ... ok
sklearn.neighbors.tests.test_kde.test_kernel_density('epanechnikov', 0.1, 1e-06, 0, array([[ 1.76405235, 0.40015721, 0.97873798], ... ok
sklearn.neighbors.tests.test_kde.test_kernel_density('epanechnikov', 0.1, 1e-06, 0, array([[ 1.76405235, 0.40015721, 0.97873798], ... ok
sklearn.neighbors.tests.test_kde.test_kernel_density('epanechnikov', 0.1, 0.01, 0, array([[ 1.76405235, 0.40015721, 0.97873798], ... ok
sklearn.neighbors.tests.test_kde.test_kernel_density('epanechnikov', 0.1, 0.01, 0, array([[ 1.76405235, 0.40015721, 0.97873798], ... ok
sklearn.neighbors.tests.test_kde.test_kernel_density('epanechnikov', 0.1, 1e-06, 1e-05, array([[ 1.76405235, 0.40015721, 0.97873798], ... ok
sklearn.neighbors.tests.test_kde.test_kernel_density('epanechnikov', 0.1, 1e-06, 1e-05, array([[ 1.76405235, 0.40015721, 0.97873798], ... ok
sklearn.neighbors.tests.test_kde.test_kernel_density('epanechnikov', 0.1, 0.01, 1e-05, array([[ 1.76405235, 0.40015721, 0.97873798], ... ok
sklearn.neighbors.tests.test_kde.test_kernel_density('epanechnikov', 0.1, 0.01, 1e-05, array([[ 1.76405235, 0.40015721, 0.97873798], ... ok
sklearn.neighbors.tests.test_kde.test_kernel_density('epanechnikov', 1, 1e-06, 0, array([[ 1.76405235, 0.40015721, 0.97873798], ... ok
sklearn.neighbors.tests.test_kde.test_kernel_density('epanechnikov', 1, 1e-06, 0, array([[ 1.76405235, 0.40015721, 0.97873798], ... ok
sklearn.neighbors.tests.test_kde.test_kernel_density('epanechnikov', 1, 0.01, 0, array([[ 1.76405235, 0.40015721, 0.97873798], ... ok
sklearn.neighbors.tests.test_kde.test_kernel_density('epanechnikov', 1, 0.01, 0, array([[ 1.76405235, 0.40015721, 0.97873798], ... ok
sklearn.neighbors.tests.test_kde.test_kernel_density('epanechnikov', 1, 1e-06, 1e-05, array([[ 1.76405235, 0.40015721, 0.97873798], ... ok
sklearn.neighbors.tests.test_kde.test_kernel_density('epanechnikov', 1, 1e-06, 1e-05, array([[ 1.76405235, 0.40015721, 0.97873798], ... ok
sklearn.neighbors.tests.test_kde.test_kernel_density('epanechnikov', 1, 0.01, 1e-05, array([[ 1.76405235, 0.40015721, 0.97873798], ... ok
sklearn.neighbors.tests.test_kde.test_kernel_density('epanechnikov', 1, 0.01, 1e-05, array([[ 1.76405235, 0.40015721, 0.97873798], ... ok
sklearn.neighbors.tests.test_kde.test_kernel_density('exponential', 0.01, 1e-06, 0, array([[ 1.76405235, 0.40015721, 0.97873798], ... ok
sklearn.neighbors.tests.test_kde.test_kernel_density('exponential', 0.01, 1e-06, 0, array([[ 1.76405235, 0.40015721, 0.97873798], ... ok
sklearn.neighbors.tests.test_kde.test_kernel_density('exponential', 0.01, 0.01, 0, array([[ 1.76405235, 0.40015721, 0.97873798], ... ok
sklearn.neighbors.tests.test_kde.test_kernel_density('exponential', 0.01, 0.01, 0, array([[ 1.76405235, 0.40015721, 0.97873798], ... ok
sklearn.neighbors.tests.test_kde.test_kernel_density('exponential', 0.01, 1e-06, 1e-05, array([[ 1.76405235, 0.40015721, 0.97873798], ... ok
sklearn.neighbors.tests.test_kde.test_kernel_density('exponential', 0.01, 1e-06, 1e-05, array([[ 1.76405235, 0.40015721, 0.97873798], ... ok
sklearn.neighbors.tests.test_kde.test_kernel_density('exponential', 0.01, 0.01, 1e-05, array([[ 1.76405235, 0.40015721, 0.97873798], ... ok
sklearn.neighbors.tests.test_kde.test_kernel_density('exponential', 0.01, 0.01, 1e-05, array([[ 1.76405235, 0.40015721, 0.97873798], ... ok
sklearn.neighbors.tests.test_kde.test_kernel_density('exponential', 0.1, 1e-06, 0, array([[ 1.76405235, 0.40015721, 0.97873798], ... ok
sklearn.neighbors.tests.test_kde.test_kernel_density('exponential', 0.1, 1e-06, 0, array([[ 1.76405235, 0.40015721, 0.97873798], ... ok
sklearn.neighbors.tests.test_kde.test_kernel_density('exponential', 0.1, 0.01, 0, array([[ 1.76405235, 0.40015721, 0.97873798], ... ok
sklearn.neighbors.tests.test_kde.test_kernel_density('exponential', 0.1, 0.01, 0, array([[ 1.76405235, 0.40015721, 0.97873798], ... ok
sklearn.neighbors.tests.test_kde.test_kernel_density('exponential', 0.1, 1e-06, 1e-05, array([[ 1.76405235, 0.40015721, 0.97873798], ... ok
sklearn.neighbors.tests.test_kde.test_kernel_density('exponential', 0.1, 1e-06, 1e-05, array([[ 1.76405235, 0.40015721, 0.97873798], ... ok
sklearn.neighbors.tests.test_kde.test_kernel_density('exponential', 0.1, 0.01, 1e-05, array([[ 1.76405235, 0.40015721, 0.97873798], ... ok
sklearn.neighbors.tests.test_kde.test_kernel_density('exponential', 0.1, 0.01, 1e-05, array([[ 1.76405235, 0.40015721, 0.97873798], ... ok
sklearn.neighbors.tests.test_kde.test_kernel_density('exponential', 1, 1e-06, 0, array([[ 1.76405235, 0.40015721, 0.97873798], ... ok
sklearn.neighbors.tests.test_kde.test_kernel_density('exponential', 1, 1e-06, 0, array([[ 1.76405235, 0.40015721, 0.97873798], ... ok
sklearn.neighbors.tests.test_kde.test_kernel_density('exponential', 1, 0.01, 0, array([[ 1.76405235, 0.40015721, 0.97873798], ... ok
sklearn.neighbors.tests.test_kde.test_kernel_density('exponential', 1, 0.01, 0, array([[ 1.76405235, 0.40015721, 0.97873798], ... ok
sklearn.neighbors.tests.test_kde.test_kernel_density('exponential', 1, 1e-06, 1e-05, array([[ 1.76405235, 0.40015721, 0.97873798], ... ok
sklearn.neighbors.tests.test_kde.test_kernel_density('exponential', 1, 1e-06, 1e-05, array([[ 1.76405235, 0.40015721, 0.97873798], ... ok
sklearn.neighbors.tests.test_kde.test_kernel_density('exponential', 1, 0.01, 1e-05, array([[ 1.76405235, 0.40015721, 0.97873798], ... ok
sklearn.neighbors.tests.test_kde.test_kernel_density('exponential', 1, 0.01, 1e-05, array([[ 1.76405235, 0.40015721, 0.97873798], ... ok
sklearn.neighbors.tests.test_kde.test_kernel_density('linear', 0.01, 1e-06, 0, array([[ 1.76405235, 0.40015721, 0.97873798], ... ok
sklearn.neighbors.tests.test_kde.test_kernel_density('linear', 0.01, 1e-06, 0, array([[ 1.76405235, 0.40015721, 0.97873798], ... ok
sklearn.neighbors.tests.test_kde.test_kernel_density('linear', 0.01, 0.01, 0, array([[ 1.76405235, 0.40015721, 0.97873798], ... ok
sklearn.neighbors.tests.test_kde.test_kernel_density('linear', 0.01, 0.01, 0, array([[ 1.76405235, 0.40015721, 0.97873798], ... ok
sklearn.neighbors.tests.test_kde.test_kernel_density('linear', 0.01, 1e-06, 1e-05, array([[ 1.76405235, 0.40015721, 0.97873798], ... ok
sklearn.neighbors.tests.test_kde.test_kernel_density('linear', 0.01, 1e-06, 1e-05, array([[ 1.76405235, 0.40015721, 0.97873798], ... ok
sklearn.neighbors.tests.test_kde.test_kernel_density('linear', 0.01, 0.01, 1e-05, array([[ 1.76405235, 0.40015721, 0.97873798], ... ok
sklearn.neighbors.tests.test_kde.test_kernel_density('linear', 0.01, 0.01, 1e-05, array([[ 1.76405235, 0.40015721, 0.97873798], ... ok
sklearn.neighbors.tests.test_kde.test_kernel_density('linear', 0.1, 1e-06, 0, array([[ 1.76405235, 0.40015721, 0.97873798], ... ok
sklearn.neighbors.tests.test_kde.test_kernel_density('linear', 0.1, 1e-06, 0, array([[ 1.76405235, 0.40015721, 0.97873798], ... ok
sklearn.neighbors.tests.test_kde.test_kernel_density('linear', 0.1, 0.01, 0, array([[ 1.76405235, 0.40015721, 0.97873798], ... ok
sklearn.neighbors.tests.test_kde.test_kernel_density('linear', 0.1, 0.01, 0, array([[ 1.76405235, 0.40015721, 0.97873798], ... ok
sklearn.neighbors.tests.test_kde.test_kernel_density('linear', 0.1, 1e-06, 1e-05, array([[ 1.76405235, 0.40015721, 0.97873798], ... ok
sklearn.neighbors.tests.test_kde.test_kernel_density('linear', 0.1, 1e-06, 1e-05, array([[ 1.76405235, 0.40015721, 0.97873798], ... ok
sklearn.neighbors.tests.test_kde.test_kernel_density('linear', 0.1, 0.01, 1e-05, array([[ 1.76405235, 0.40015721, 0.97873798], ... ok
sklearn.neighbors.tests.test_kde.test_kernel_density('linear', 0.1, 0.01, 1e-05, array([[ 1.76405235, 0.40015721, 0.97873798], ... ok
sklearn.neighbors.tests.test_kde.test_kernel_density('linear', 1, 1e-06, 0, array([[ 1.76405235, 0.40015721, 0.97873798], ... ok
sklearn.neighbors.tests.test_kde.test_kernel_density('linear', 1, 1e-06, 0, array([[ 1.76405235, 0.40015721, 0.97873798], ... ok
sklearn.neighbors.tests.test_kde.test_kernel_density('linear', 1, 0.01, 0, array([[ 1.76405235, 0.40015721, 0.97873798], ... ok
sklearn.neighbors.tests.test_kde.test_kernel_density('linear', 1, 0.01, 0, array([[ 1.76405235, 0.40015721, 0.97873798], ... ok
sklearn.neighbors.tests.test_kde.test_kernel_density('linear', 1, 1e-06, 1e-05, array([[ 1.76405235, 0.40015721, 0.97873798], ... ok
sklearn.neighbors.tests.test_kde.test_kernel_density('linear', 1, 1e-06, 1e-05, array([[ 1.76405235, 0.40015721, 0.97873798], ... ok
sklearn.neighbors.tests.test_kde.test_kernel_density('linear', 1, 0.01, 1e-05, array([[ 1.76405235, 0.40015721, 0.97873798], ... ok
sklearn.neighbors.tests.test_kde.test_kernel_density('linear', 1, 0.01, 1e-05, array([[ 1.76405235, 0.40015721, 0.97873798], ... ok
sklearn.neighbors.tests.test_kde.test_kernel_density('cosine', 0.01, 1e-06, 0, array([[ 1.76405235, 0.40015721, 0.97873798], ... ok
sklearn.neighbors.tests.test_kde.test_kernel_density('cosine', 0.01, 1e-06, 0, array([[ 1.76405235, 0.40015721, 0.97873798], ... ok
sklearn.neighbors.tests.test_kde.test_kernel_density('cosine', 0.01, 0.01, 0, array([[ 1.76405235, 0.40015721, 0.97873798], ... ok
sklearn.neighbors.tests.test_kde.test_kernel_density('cosine', 0.01, 0.01, 0, array([[ 1.76405235, 0.40015721, 0.97873798], ... ok
sklearn.neighbors.tests.test_kde.test_kernel_density('cosine', 0.01, 1e-06, 1e-05, array([[ 1.76405235, 0.40015721, 0.97873798], ... ok
sklearn.neighbors.tests.test_kde.test_kernel_density('cosine', 0.01, 1e-06, 1e-05, array([[ 1.76405235, 0.40015721, 0.97873798], ... ok
sklearn.neighbors.tests.test_kde.test_kernel_density('cosine', 0.01, 0.01, 1e-05, array([[ 1.76405235, 0.40015721, 0.97873798], ... ok
sklearn.neighbors.tests.test_kde.test_kernel_density('cosine', 0.01, 0.01, 1e-05, array([[ 1.76405235, 0.40015721, 0.97873798], ... ok
sklearn.neighbors.tests.test_kde.test_kernel_density('cosine', 0.1, 1e-06, 0, array([[ 1.76405235, 0.40015721, 0.97873798], ... ok
sklearn.neighbors.tests.test_kde.test_kernel_density('cosine', 0.1, 1e-06, 0, array([[ 1.76405235, 0.40015721, 0.97873798], ... ok
sklearn.neighbors.tests.test_kde.test_kernel_density('cosine', 0.1, 0.01, 0, array([[ 1.76405235, 0.40015721, 0.97873798], ... ok
sklearn.neighbors.tests.test_kde.test_kernel_density('cosine', 0.1, 0.01, 0, array([[ 1.76405235, 0.40015721, 0.97873798], ... ok
sklearn.neighbors.tests.test_kde.test_kernel_density('cosine', 0.1, 1e-06, 1e-05, array([[ 1.76405235, 0.40015721, 0.97873798], ... ok
sklearn.neighbors.tests.test_kde.test_kernel_density('cosine', 0.1, 1e-06, 1e-05, array([[ 1.76405235, 0.40015721, 0.97873798], ... ok
sklearn.neighbors.tests.test_kde.test_kernel_density('cosine', 0.1, 0.01, 1e-05, array([[ 1.76405235, 0.40015721, 0.97873798], ... ok
sklearn.neighbors.tests.test_kde.test_kernel_density('cosine', 0.1, 0.01, 1e-05, array([[ 1.76405235, 0.40015721, 0.97873798], ... ok
sklearn.neighbors.tests.test_kde.test_kernel_density('cosine', 1, 1e-06, 0, array([[ 1.76405235, 0.40015721, 0.97873798], ... ok
sklearn.neighbors.tests.test_kde.test_kernel_density('cosine', 1, 1e-06, 0, array([[ 1.76405235, 0.40015721, 0.97873798], ... ok
sklearn.neighbors.tests.test_kde.test_kernel_density('cosine', 1, 0.01, 0, array([[ 1.76405235, 0.40015721, 0.97873798], ... ok
sklearn.neighbors.tests.test_kde.test_kernel_density('cosine', 1, 0.01, 0, array([[ 1.76405235, 0.40015721, 0.97873798], ... ok
sklearn.neighbors.tests.test_kde.test_kernel_density('cosine', 1, 1e-06, 1e-05, array([[ 1.76405235, 0.40015721, 0.97873798], ... ok
sklearn.neighbors.tests.test_kde.test_kernel_density('cosine', 1, 1e-06, 1e-05, array([[ 1.76405235, 0.40015721, 0.97873798], ... ok
sklearn.neighbors.tests.test_kde.test_kernel_density('cosine', 1, 0.01, 1e-05, array([[ 1.76405235, 0.40015721, 0.97873798], ... ok
sklearn.neighbors.tests.test_kde.test_kernel_density('cosine', 1, 0.01, 1e-05, array([[ 1.76405235, 0.40015721, 0.97873798], ... ok
sklearn.neighbors.tests.test_kde.test_kernel_density_sampling ... ok
sklearn.neighbors.tests.test_kde.test_kde_algorithm_metric_choice ... ok
sklearn.neighbors.tests.test_kde.test_kde_score ... ok
sklearn.neighbors.tests.test_kde.test_kde_badargs ... ok
sklearn.neighbors.tests.test_kde.test_kde_pipeline_gridsearch ... ok
sklearn.neighbors.tests.test_lof.test_lof ... ok
sklearn.neighbors.tests.test_lof.test_lof_performance ... ok
sklearn.neighbors.tests.test_lof.test_lof_values ... ok
Tests LOF with a distance matrix. ... ok
sklearn.neighbors.tests.test_lof.test_n_neighbors_attribute ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/neighbors/lof.py:180: UserWarning: n_neighbors (500) is greater than the total number of samples (150). n_neighbors will be set to (n_samples - 1) for estimation.
% (self.n_neighbors, n_samples))
ok
sklearn.neighbors.tests.test_nearest_centroid.test_classification_toy ... ok
sklearn.neighbors.tests.test_nearest_centroid.test_precomputed ... ok
sklearn.neighbors.tests.test_nearest_centroid.test_iris ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/neighbors/nearest_centroid.py:140: UserWarning: Averaging for metrics other than euclidean and manhattan not supported. The average is set to be the mean.
warnings.warn("Averaging for metrics other than "
ok
sklearn.neighbors.tests.test_nearest_centroid.test_iris_shrinkage ... ok
sklearn.neighbors.tests.test_nearest_centroid.test_pickle ... ok
sklearn.neighbors.tests.test_nearest_centroid.test_shrinkage_correct ... ok
sklearn.neighbors.tests.test_nearest_centroid.test_shrinkage_threshold_decoded_y ... ok
sklearn.neighbors.tests.test_nearest_centroid.test_predict_translated_data ... ok
sklearn.neighbors.tests.test_nearest_centroid.test_manhattan_metric ... ok
sklearn.neighbors.tests.test_neighbors.test_unsupervised_kneighbors ... ok
sklearn.neighbors.tests.test_neighbors.test_unsupervised_inputs ... ok
Tests unsupervised NearestNeighbors with a distance matrix. ... ok
sklearn.neighbors.tests.test_neighbors.test_precomputed_cross_validation ... ok
sklearn.neighbors.tests.test_neighbors.test_unsupervised_radius_neighbors ... ok
sklearn.neighbors.tests.test_neighbors.test_kneighbors_classifier ... ok
sklearn.neighbors.tests.test_neighbors.test_kneighbors_classifier_float_labels ... ok
sklearn.neighbors.tests.test_neighbors.test_kneighbors_classifier_predict_proba ... ok
sklearn.neighbors.tests.test_neighbors.test_pairwise_boolean_distance ... ok
sklearn.neighbors.tests.test_neighbors.test_radius_neighbors_classifier ... ok
sklearn.neighbors.tests.test_neighbors.test_radius_neighbors_classifier_when_no_neighbors ... ok
sklearn.neighbors.tests.test_neighbors.test_radius_neighbors_classifier_outlier_labeling ... ok
sklearn.neighbors.tests.test_neighbors.test_radius_neighbors_classifier_zero_distance ... ok
sklearn.neighbors.tests.test_neighbors.test_neighbors_regressors_zero_distance ... ok
Test whether points lying on boundary are handled consistently ... ok
sklearn.neighbors.tests.test_neighbors.test_RadiusNeighborsClassifier_multioutput ... ok
sklearn.neighbors.tests.test_neighbors.test_kneighbors_classifier_sparse ... ok
sklearn.neighbors.tests.test_neighbors.test_KNeighborsClassifier_multioutput ... ok
sklearn.neighbors.tests.test_neighbors.test_kneighbors_regressor ... ok
sklearn.neighbors.tests.test_neighbors.test_KNeighborsRegressor_multioutput_uniform_weight ... ok
sklearn.neighbors.tests.test_neighbors.test_kneighbors_regressor_multioutput ... ok
sklearn.neighbors.tests.test_neighbors.test_radius_neighbors_regressor ... ok
sklearn.neighbors.tests.test_neighbors.test_RadiusNeighborsRegressor_multioutput_with_uniform_weight ... ok
sklearn.neighbors.tests.test_neighbors.test_RadiusNeighborsRegressor_multioutput ... ok
sklearn.neighbors.tests.test_neighbors.test_kneighbors_regressor_sparse ... ok
sklearn.neighbors.tests.test_neighbors.test_neighbors_iris ... ok
sklearn.neighbors.tests.test_neighbors.test_neighbors_digits ... ok
sklearn.neighbors.tests.test_neighbors.test_kneighbors_graph ... ok
sklearn.neighbors.tests.test_neighbors.test_kneighbors_graph_sparse ... ok
sklearn.neighbors.tests.test_neighbors.test_radius_neighbors_graph ... ok
sklearn.neighbors.tests.test_neighbors.test_radius_neighbors_graph_sparse ... ok
sklearn.neighbors.tests.test_neighbors.test_neighbors_badargs ... ok
sklearn.neighbors.tests.test_neighbors.test_neighbors_metrics ... ok
sklearn.neighbors.tests.test_neighbors.test_callable_metric ... ok
sklearn.neighbors.tests.test_neighbors.test_valid_brute_metric_for_auto_algorithm ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/validation.py:475: DataConversionWarning: Data with input dtype float64 was converted to bool by check_pairwise_arrays.
warnings.warn(msg, DataConversionWarning)
ok
sklearn.neighbors.tests.test_neighbors.test_metric_params_interface ... ok
sklearn.neighbors.tests.test_neighbors.test_predict_sparse_ball_kd_tree ... ok
sklearn.neighbors.tests.test_neighbors.test_non_euclidean_kneighbors ... ok
sklearn.neighbors.tests.test_neighbors.test_k_and_radius_neighbors_train_is_not_query ... ok
sklearn.neighbors.tests.test_neighbors.test_k_and_radius_neighbors_X_None ... ok
sklearn.neighbors.tests.test_neighbors.test_k_and_radius_neighbors_duplicates ... ok
sklearn.neighbors.tests.test_neighbors.test_include_self_neighbors_graph ... ok
sklearn.neighbors.tests.test_neighbors.test_same_knn_parallel('ball_tree',) ... ok
sklearn.neighbors.tests.test_neighbors.test_same_knn_parallel('brute',) ... ok
sklearn.neighbors.tests.test_neighbors.test_same_knn_parallel('kd_tree',) ... ok
sklearn.neighbors.tests.test_neighbors.test_same_knn_parallel('auto',) ... ok
sklearn.neighbors.tests.test_neighbors.test_dtype_convert ... ok
sklearn.neighbors.tests.test_quad_tree.test_quadtree_boundary_computation ... ok
sklearn.neighbors.tests.test_quad_tree.test_quadtree_similar_point ... ok
sklearn.neighbors.tests.test_quad_tree.test_quad_tree_pickle(0,) ... ok
sklearn.neighbors.tests.test_quad_tree.test_quad_tree_pickle(1,) ... ok
sklearn.neighbors.tests.test_quad_tree.test_quad_tree_pickle(2,) ... ok
sklearn.neighbors.tests.test_quad_tree.test_quad_tree_pickle(0,) ... ok
sklearn.neighbors.tests.test_quad_tree.test_quad_tree_pickle(1,) ... ok
sklearn.neighbors.tests.test_quad_tree.test_quad_tree_pickle(2,) ... ok
sklearn.neighbors.tests.test_quad_tree.test_qt_insert_duplicate(2,) ... ok
sklearn.neighbors.tests.test_quad_tree.test_qt_insert_duplicate(3,) ... ok
sklearn.neighbors.tests.test_quad_tree.test_summarize ... ok
sklearn.neural_network.tests.test_mlp.test_alpha ... ok
sklearn.neural_network.tests.test_mlp.test_fit ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/neural_network/multilayer_perceptron.py:927: DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty.
if np.setdiff1d(classes, self.classes_, assume_unique=True):
ok
sklearn.neural_network.tests.test_mlp.test_gradient ... ok
sklearn.neural_network.tests.test_mlp.test_lbfgs_classification ... ok
sklearn.neural_network.tests.test_mlp.test_lbfgs_regression ... ok
sklearn.neural_network.tests.test_mlp.test_learning_rate_warmstart ... ok
sklearn.neural_network.tests.test_mlp.test_warm_start ... ok
sklearn.neural_network.tests.test_mlp.test_multilabel_classification ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/neural_network/multilayer_perceptron.py:927: DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty.
if np.setdiff1d(classes, self.classes_, assume_unique=True):
ok
sklearn.neural_network.tests.test_mlp.test_multioutput_regression ... ok
sklearn.neural_network.tests.test_mlp.test_partial_fit_classes_error ... ok
sklearn.neural_network.tests.test_mlp.test_partial_fit_classification ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/neural_network/multilayer_perceptron.py:927: DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty.
if np.setdiff1d(classes, self.classes_, assume_unique=True):
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/neural_network/multilayer_perceptron.py:927: DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty.
if np.setdiff1d(classes, self.classes_, assume_unique=True):
ok
sklearn.neural_network.tests.test_mlp.test_partial_fit_unseen_classes ... ok
sklearn.neural_network.tests.test_mlp.test_partial_fit_regression ... ok
sklearn.neural_network.tests.test_mlp.test_partial_fit_errors ... ok
sklearn.neural_network.tests.test_mlp.test_params_errors ... ok
sklearn.neural_network.tests.test_mlp.test_predict_proba_binary ... ok
sklearn.neural_network.tests.test_mlp.test_predict_proba_multiclass ... ok
sklearn.neural_network.tests.test_mlp.test_predict_proba_multilabel ... ok
sklearn.neural_network.tests.test_mlp.test_sparse_matrices ... ok
sklearn.neural_network.tests.test_mlp.test_tolerance ... ok
sklearn.neural_network.tests.test_mlp.test_verbose_sgd ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/neural_network/multilayer_perceptron.py:927: DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty.
if np.setdiff1d(classes, self.classes_, assume_unique=True):
ok
sklearn.neural_network.tests.test_mlp.test_early_stopping ... ok
sklearn.neural_network.tests.test_mlp.test_adaptive_learning_rate ... ok
sklearn.neural_network.tests.test_rbm.test_fit ... ok
sklearn.neural_network.tests.test_rbm.test_partial_fit ... ok
sklearn.neural_network.tests.test_rbm.test_transform ... ok
sklearn.neural_network.tests.test_rbm.test_small_sparse ... ok
sklearn.neural_network.tests.test_rbm.test_small_sparse_partial_fit ... ok
sklearn.neural_network.tests.test_rbm.test_sample_hiddens ... ok
sklearn.neural_network.tests.test_rbm.test_fit_gibbs ... ok
sklearn.neural_network.tests.test_rbm.test_fit_gibbs_sparse ... ok
sklearn.neural_network.tests.test_rbm.test_gibbs_smoke ... ok
sklearn.neural_network.tests.test_rbm.test_score_samples ... ok
sklearn.neural_network.tests.test_rbm.test_rbm_verbose ... ok
sklearn.neural_network.tests.test_rbm.test_sparse_and_verbose ... ok
sklearn.neural_network.tests.test_stochastic_optimizers.test_base_optimizer ... ok
sklearn.neural_network.tests.test_stochastic_optimizers.test_sgd_optimizer_no_momentum ... ok
sklearn.neural_network.tests.test_stochastic_optimizers.test_sgd_optimizer_momentum ... ok
sklearn.neural_network.tests.test_stochastic_optimizers.test_sgd_optimizer_trigger_stopping ... ok
sklearn.neural_network.tests.test_stochastic_optimizers.test_sgd_optimizer_nesterovs_momentum ... ok
sklearn.neural_network.tests.test_stochastic_optimizers.test_adam_optimizer ... ok
sklearn.preprocessing.tests.test_data.test_polynomial_features ... ok
sklearn.preprocessing.tests.test_data.test_polynomial_feature_names ... ok
sklearn.preprocessing.tests.test_data.test_standard_scaler_1d ... ok
sklearn.preprocessing.tests.test_data.test_scale_1d ... ok
sklearn.preprocessing.tests.test_data.test_scaler_2d_arrays ... ok
sklearn.preprocessing.tests.test_data.test_handle_zeros_in_scale ... ok
sklearn.preprocessing.tests.test_data.test_minmax_scaler_partial_fit ... ok
sklearn.preprocessing.tests.test_data.test_standard_scaler_partial_fit ... ok
sklearn.preprocessing.tests.test_data.test_standard_scaler_partial_fit_numerical_stability ... ok
sklearn.preprocessing.tests.test_data.test_partial_fit_sparse_input ... ok
sklearn.preprocessing.tests.test_data.test_standard_scaler_trasform_with_partial_fit ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/preprocessing/tests/test_data.py:484: RuntimeWarning: underflow encountered in nextafter
epsilon = np.nextafter(0, 1)
ok
sklearn.preprocessing.tests.test_data.test_min_max_scaler_iris ... ok
sklearn.preprocessing.tests.test_data.test_min_max_scaler_zero_variance_features ... ok
sklearn.preprocessing.tests.test_data.test_minmax_scale_axis1 ... ok
sklearn.preprocessing.tests.test_data.test_min_max_scaler_1d ... ok
sklearn.preprocessing.tests.test_data.test_scaler_without_centering ... ok
sklearn.preprocessing.tests.test_data.test_standard_scaler_numerical_stability ... SKIP: Test skipped on 32bit platforms.
sklearn.preprocessing.tests.test_data.test_scaler_int ... ok
sklearn.preprocessing.tests.test_data.test_scaler_without_copy ... ok
sklearn.preprocessing.tests.test_data.test_scale_sparse_with_mean_raise_exception ... ok
sklearn.preprocessing.tests.test_data.test_scale_input_finiteness_validation ... ok
sklearn.preprocessing.tests.test_data.test_robust_scaler_2d_arrays ... ok
sklearn.preprocessing.tests.test_data.test_robust_scaler_transform_one_row_csr ... ok
sklearn.preprocessing.tests.test_data.test_robust_scaler_iris ... ok
sklearn.preprocessing.tests.test_data.test_robust_scaler_iris_quantiles ... ok
sklearn.preprocessing.tests.test_data.test_quantile_transform_iris ... ok
sklearn.preprocessing.tests.test_data.test_quantile_transform_check_error ... ok
sklearn.preprocessing.tests.test_data.test_quantile_transform_sparse_ignore_zeros ... ok
sklearn.preprocessing.tests.test_data.test_quantile_transform_dense_toy ... ok
sklearn.preprocessing.tests.test_data.test_quantile_transform_subsampling ... ok
sklearn.preprocessing.tests.test_data.test_quantile_transform_sparse_toy ... ok
sklearn.preprocessing.tests.test_data.test_quantile_transform_axis1 ... ok
sklearn.preprocessing.tests.test_data.test_quantile_transform_bounds ... ok
sklearn.preprocessing.tests.test_data.test_quantile_transform_and_inverse ... ok
sklearn.preprocessing.tests.test_data.test_robust_scaler_invalid_range ... ok
sklearn.preprocessing.tests.test_data.test_scale_function_without_centering ... ok
sklearn.preprocessing.tests.test_data.test_robust_scale_axis1 ... ok
sklearn.preprocessing.tests.test_data.test_robust_scaler_zero_variance_features ... ok
sklearn.preprocessing.tests.test_data.test_maxabs_scaler_zero_variance_features ... ok
sklearn.preprocessing.tests.test_data.test_maxabs_scaler_large_negative_value ... ok
sklearn.preprocessing.tests.test_data.test_maxabs_scaler_transform_one_row_csr ... ok
sklearn.preprocessing.tests.test_data.test_warning_scaling_integers ... ok
sklearn.preprocessing.tests.test_data.test_maxabs_scaler_1d ... ok
sklearn.preprocessing.tests.test_data.test_maxabs_scaler_partial_fit ... ok
sklearn.preprocessing.tests.test_data.test_normalizer_l1 ... ok
sklearn.preprocessing.tests.test_data.test_normalizer_l2 ... ok
sklearn.preprocessing.tests.test_data.test_normalizer_max ... ok
sklearn.preprocessing.tests.test_data.test_normalize ... ok
sklearn.preprocessing.tests.test_data.test_binarizer ... ok
sklearn.preprocessing.tests.test_data.test_center_kernel ... ok
sklearn.preprocessing.tests.test_data.test_cv_pipeline_precomputed ... ok
sklearn.preprocessing.tests.test_data.test_fit_transform ... ok
sklearn.preprocessing.tests.test_data.test_add_dummy_feature ... ok
sklearn.preprocessing.tests.test_data.test_add_dummy_feature_coo ... ok
sklearn.preprocessing.tests.test_data.test_add_dummy_feature_csc ... ok
sklearn.preprocessing.tests.test_data.test_add_dummy_feature_csr ... ok
sklearn.preprocessing.tests.test_data.test_one_hot_encoder_sparse ... ok
sklearn.preprocessing.tests.test_data.test_one_hot_encoder_dense ... ok
sklearn.preprocessing.tests.test_data.test_transform_selected ... ok
sklearn.preprocessing.tests.test_data.test_transform_selected_copy_arg ... ok
sklearn.preprocessing.tests.test_data.test_one_hot_encoder_categorical_features ... ok
sklearn.preprocessing.tests.test_data.test_one_hot_encoder_unknown_transform ... ok
sklearn.preprocessing.tests.test_data.test_fit_cold_start ... ok
sklearn.preprocessing.tests.test_data.test_quantile_transform_valid_axis ... ok
sklearn.preprocessing.tests.test_function_transformer.test_delegate_to_func ... ok
sklearn.preprocessing.tests.test_function_transformer.test_np_log ... ok
sklearn.preprocessing.tests.test_function_transformer.test_kw_arg ... ok
sklearn.preprocessing.tests.test_function_transformer.test_kw_arg_update ... ok
sklearn.preprocessing.tests.test_function_transformer.test_kw_arg_reset ... ok
sklearn.preprocessing.tests.test_function_transformer.test_inverse_transform ... ok
sklearn.preprocessing.tests.test_imputation.test_imputation_shape ... ok
sklearn.preprocessing.tests.test_imputation.test_imputation_mean_median_only_zero ... /usr/lib/python2.7/dist-packages/numpy/lib/function_base.py:4033: RuntimeWarning: Invalid value encountered in median for 1 results
r = func(a, **kwargs)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/sparsefuncs.py:421: RuntimeWarning: invalid value encountered in less
n_negative = np.count_nonzero(data < 0)
ok
sklearn.preprocessing.tests.test_imputation.test_imputation_mean_median ... /usr/lib/python2.7/dist-packages/numpy/core/fromnumeric.py:2957: RuntimeWarning: Mean of empty slice.
out=out, **kwargs)
/usr/lib/python2.7/dist-packages/numpy/core/_methods.py:80: RuntimeWarning: invalid value encountered in double_scalars
ret = ret.dtype.type(ret / rcount)
ok
sklearn.preprocessing.tests.test_imputation.test_imputation_median_special_cases ... ok
sklearn.preprocessing.tests.test_imputation.test_imputation_most_frequent ... ok
sklearn.preprocessing.tests.test_imputation.test_imputation_pipeline_grid_search ... ok
sklearn.preprocessing.tests.test_imputation.test_imputation_pickle ... ok
sklearn.preprocessing.tests.test_imputation.test_imputation_copy ... ok
sklearn.preprocessing.tests.test_label.test_label_binarizer ... ok
sklearn.preprocessing.tests.test_label.test_label_binarizer_unseen_labels ... ok
sklearn.preprocessing.tests.test_label.test_label_binarizer_set_label_encoding ... ok
sklearn.preprocessing.tests.test_label.test_label_encoder ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/preprocessing/label.py:151: DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty.
if diff:
ok
sklearn.preprocessing.tests.test_label.test_label_encoder_fit_transform ... ok
sklearn.preprocessing.tests.test_label.test_label_encoder_errors ... ok
sklearn.preprocessing.tests.test_label.test_sparse_output_multilabel_binarizer ... ok
sklearn.preprocessing.tests.test_label.test_multilabel_binarizer ... ok
sklearn.preprocessing.tests.test_label.test_multilabel_binarizer_empty_sample ... ok
sklearn.preprocessing.tests.test_label.test_label_binarizer_errors ... ok
sklearn.preprocessing.tests.test_label.test_multilabel_binarizer_unknown_class ... ok
sklearn.preprocessing.tests.test_label.test_multilabel_binarizer_given_classes ... ok
sklearn.preprocessing.tests.test_label.test_multilabel_binarizer_same_length_sequence ... ok
sklearn.preprocessing.tests.test_label.test_multilabel_binarizer_non_integer_labels ... ok
sklearn.preprocessing.tests.test_label.test_multilabel_binarizer_non_unique ... ok
sklearn.preprocessing.tests.test_label.test_multilabel_binarizer_inverse_validation ... ok
sklearn.preprocessing.tests.test_label.test_label_binarize_with_class_order ... ok
sklearn.preprocessing.tests.test_label.test_label_binarize_binary([0, 1, 0], [0, 1], 2, -1, array([[-1], ... ok
sklearn.preprocessing.tests.test_label.test_label_binarize_binary([0, 1, 0], [0, 1], 3, 0, array([[0], ... ok
sklearn.preprocessing.tests.test_label.test_label_binarize_multiclass([0, 1, 2], [0, 1, 2], 2, 0, array([[2., 0., 0.], ... ok
sklearn.preprocessing.tests.test_label.test_label_binarize_multilabel(array([[0, 1, 0], ... ok
sklearn.preprocessing.tests.test_label.test_label_binarize_multilabel(<3x3 sparse matrix of type '<type 'numpy.int32'>' ... ok
sklearn.preprocessing.tests.test_label.test_label_binarize_multilabel(<3x3 sparse matrix of type '<type 'numpy.int32'>' ... ok
sklearn.preprocessing.tests.test_label.test_label_binarize_multilabel(<3x3 sparse matrix of type '<type 'numpy.int32'>' ... ok
sklearn.preprocessing.tests.test_label.test_label_binarize_multilabel(<3x3 sparse matrix of type '<type 'numpy.int32'>' ... ok
sklearn.preprocessing.tests.test_label.test_label_binarize_multilabel(<3x3 sparse matrix of type '<type 'numpy.int32'>' ... ok
sklearn.preprocessing.tests.test_label.test_invalid_input_label_binarize ... ok
sklearn.preprocessing.tests.test_label.test_inverse_binarize_multiclass ... ok
sklearn.semi_supervised.tests.test_label_propagation.test_fit_transduction ... ok
sklearn.semi_supervised.tests.test_label_propagation.test_distribution ... ok
sklearn.semi_supervised.tests.test_label_propagation.test_predict ... ok
sklearn.semi_supervised.tests.test_label_propagation.test_predict_proba ... ok
sklearn.semi_supervised.tests.test_label_propagation.test_alpha_deprecation ... ok
sklearn.semi_supervised.tests.test_label_propagation.test_label_spreading_closed_form ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/metrics/pairwise.py:844: RuntimeWarning: underflow encountered in exp
np.exp(K, K) # exponentiate K in-place
ok
sklearn.semi_supervised.tests.test_label_propagation.test_label_propagation_closed_form ... ok
sklearn.semi_supervised.tests.test_label_propagation.test_valid_alpha ... ok
sklearn.semi_supervised.tests.test_label_propagation.test_convergence_speed ... ok
sklearn.semi_supervised.tests.test_label_propagation.test_convergence_warning ... ok
Test l1_min_c loss='squared_hinge' dense multi-class no-intercept ... ok
Test l1_min_c loss='squared_hinge' dense multi-class fit-intercept ... ok
Test l1_min_c loss='squared_hinge' dense two-classes no-intercept ... ok
Test l1_min_c loss='squared_hinge' dense two-classes fit-intercept ... ok
Test l1_min_c loss='squared_hinge' sparse multi-class no-intercept ... ok
Test l1_min_c loss='squared_hinge' sparse multi-class fit-intercept ... ok
Test l1_min_c loss='squared_hinge' sparse two-classes no-intercept ... ok
Test l1_min_c loss='squared_hinge' sparse two-classes fit-intercept ... ok
Test l1_min_c loss='log' dense multi-class no-intercept ... ok
Test l1_min_c loss='log' dense multi-class fit-intercept ... ok
Test l1_min_c loss='log' dense two-classes no-intercept ... ok
Test l1_min_c loss='log' dense two-classes fit-intercept ... ok
Test l1_min_c loss='log' sparse multi-class no-intercept ... ok
Test l1_min_c loss='log' sparse multi-class fit-intercept ... ok
Test l1_min_c loss='log' sparse two-classes no-intercept ... ok
Test l1_min_c loss='log' sparse two-classes fit-intercept ... ok
sklearn.svm.tests.test_bounds.test_ill_posed_min_c ... ok
sklearn.svm.tests.test_bounds.test_unsupported_loss ... ok
Check that sparse SVC gives the same result as SVC ... ok
sklearn.svm.tests.test_sparse.test_unsorted_indices ... ok
sklearn.svm.tests.test_sparse.test_svc_with_custom_kernel ... ok
sklearn.svm.tests.test_sparse.test_svc_iris ... ok
sklearn.svm.tests.test_sparse.test_sparse_decision_function ... ok
sklearn.svm.tests.test_sparse.test_error ... ok
sklearn.svm.tests.test_sparse.test_linearsvc ... ok
sklearn.svm.tests.test_sparse.test_linearsvc_iris ... ok
sklearn.svm.tests.test_sparse.test_weight ... ok
sklearn.svm.tests.test_sparse.test_sample_weights ... ok
sklearn.svm.tests.test_sparse.test_sparse_liblinear_intercept_handling ... ok
Check that sparse OneClassSVM gives the same result as dense OneClassSVM ... ok
sklearn.svm.tests.test_sparse.test_sparse_realdata ... ok
sklearn.svm.tests.test_sparse.test_sparse_svc_clone_with_callable_kernel ... ok
sklearn.svm.tests.test_sparse.test_timeout ... ok
sklearn.svm.tests.test_sparse.test_consistent_proba ... ok
sklearn.svm.tests.test_svm.test_libsvm_parameters ... ok
sklearn.svm.tests.test_svm.test_libsvm_iris ... ok
sklearn.svm.tests.test_svm.test_precomputed ... ok
sklearn.svm.tests.test_svm.test_svr ... ok
sklearn.svm.tests.test_svm.test_linearsvr ... ok
sklearn.svm.tests.test_svm.test_linearsvr_fit_sampleweight ... ok
sklearn.svm.tests.test_svm.test_svr_errors ... ok
sklearn.svm.tests.test_svm.test_oneclass ... ok
sklearn.svm.tests.test_svm.test_oneclass_decision_function ... ok
sklearn.svm.tests.test_svm.test_tweak_params ... ok
sklearn.svm.tests.test_svm.test_consistent_proba ... ok
sklearn.svm.tests.test_svm.test_probability ... ok
sklearn.svm.tests.test_svm.test_decision_function ... ok
sklearn.svm.tests.test_svm.test_decision_function_shape ... ok
sklearn.svm.tests.test_svm.test_svr_predict ... ok
sklearn.svm.tests.test_svm.test_weight ... ok
sklearn.svm.tests.test_svm.test_sample_weights ... ok
sklearn.svm.tests.test_svm.test_auto_weight ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/metrics/classification.py:1135: UndefinedMetricWarning: F-score is ill-defined and being set to 0.0 in labels with no predicted samples.
'precision', 'predicted', average, warn_for)
ok
sklearn.svm.tests.test_svm.test_bad_input ... ok
sklearn.svm.tests.test_svm.test_unicode_kernel ... ok
sklearn.svm.tests.test_svm.test_sparse_precomputed ... ok
sklearn.svm.tests.test_svm.test_linearsvc_parameters ... ok
sklearn.svm.tests.test_svm.test_linearsvx_loss_penalty_deprecations ... ok
sklearn.svm.tests.test_svm.test_linear_svx_uppercase_loss_penality_raises_error ... ok
sklearn.svm.tests.test_svm.test_linearsvc ... ok
sklearn.svm.tests.test_svm.test_linearsvc_crammer_singer ... ok
sklearn.svm.tests.test_svm.test_linearsvc_fit_sampleweight ... ok
sklearn.svm.tests.test_svm.test_crammer_singer_binary ... ok
sklearn.svm.tests.test_svm.test_linearsvc_iris ... ok
sklearn.svm.tests.test_svm.test_dense_liblinear_intercept_handling ... ok
sklearn.svm.tests.test_svm.test_liblinear_set_coef ... ok
sklearn.svm.tests.test_svm.test_immutable_coef_property ... ok
sklearn.svm.tests.test_svm.test_linearsvc_verbose ... ok
sklearn.svm.tests.test_svm.test_svc_clone_with_callable_kernel ... ok
sklearn.svm.tests.test_svm.test_svc_bad_kernel ... ok
sklearn.svm.tests.test_svm.test_timeout ... ok
sklearn.svm.tests.test_svm.test_unfitted ... ok
sklearn.svm.tests.test_svm.test_linear_svc_convergence_warnings ...
optimization finished, #iter = 2
WARNING: reaching max number of iterations
Using -s 2 may be faster (also see FAQ)
Objective value = -0.222179
nSV = 2
ok
sklearn.svm.tests.test_svm.test_svr_coef_sign ... ok
sklearn.svm.tests.test_svm.test_linear_svc_intercept_scaling ... ok
sklearn.svm.tests.test_svm.test_lsvc_intercept_scaling_zero ... ok
sklearn.svm.tests.test_svm.test_hasattr_predict_proba ... ok
sklearn.svm.tests.test_svm.test_decision_function_shape_two_class ... ok
sklearn.svm.tests.test_svm.test_ovr_decision_function ... ok
sklearn.tree.tests.test_export.test_graphviz_toy ... ok
sklearn.tree.tests.test_export.test_graphviz_errors ... ok
sklearn.tree.tests.test_export.test_friedman_mse_in_graphviz ... ok
sklearn.tree.tests.test_export.test_precision ... ok
sklearn.tree.tests.test_tree.test_classification_toy ... ok
sklearn.tree.tests.test_tree.test_weighted_classification_toy ... ok
sklearn.tree.tests.test_tree.test_regression_toy ... ok
sklearn.tree.tests.test_tree.test_xor ... ok
sklearn.tree.tests.test_tree.test_iris ... ok
sklearn.tree.tests.test_tree.test_boston ... ok
sklearn.tree.tests.test_tree.test_1d_input ... ok
sklearn.tree.tests.test_tree.test_probability ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tree/tree.py:864: RuntimeWarning: divide by zero encountered in log
return np.log(proba)
ok
sklearn.tree.tests.test_tree.test_arrayrepr ... ok
sklearn.tree.tests.test_tree.test_pure_set ... ok
sklearn.tree.tests.test_tree.test_numerical_stability ... ok
sklearn.tree.tests.test_tree.test_importances ... ok
sklearn.tree.tests.test_tree.test_importances_raises ... ok
sklearn.tree.tests.test_tree.test_importances_gini_equal_mse ... ok
sklearn.tree.tests.test_tree.test_max_features ... ok
sklearn.tree.tests.test_tree.test_error ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tree/tree.py:282: DeprecationWarning: The min_impurity_split parameter is deprecated and will be removed in version 0.21. Use the min_impurity_decrease parameter instead.
DeprecationWarning)
ok
Test min_samples_split parameter ... ok
sklearn.tree.tests.test_tree.test_min_samples_leaf ... ok
sklearn.tree.tests.test_tree.test_min_weight_fraction_leaf('Presort-DecisionTreeRegressor', 'iris') ... ok
sklearn.tree.tests.test_tree.test_min_weight_fraction_leaf('ExtraTreeRegressor', 'iris') ... ok
sklearn.tree.tests.test_tree.test_min_weight_fraction_leaf('DecisionTreeRegressor', 'iris') ... ok
sklearn.tree.tests.test_tree.test_min_weight_fraction_leaf('ExtraTreeClassifier', 'iris') ... ok
sklearn.tree.tests.test_tree.test_min_weight_fraction_leaf('Presort-DecisionTreeClassifier', 'iris') ... ok
sklearn.tree.tests.test_tree.test_min_weight_fraction_leaf('DecisionTreeClassifier', 'iris') ... ok
sklearn.tree.tests.test_tree.test_min_weight_fraction_leaf('DecisionTreeClassifier', 'multilabel', True) ... ok
sklearn.tree.tests.test_tree.test_min_weight_fraction_leaf('DecisionTreeRegressor', 'multilabel', True) ... ok
sklearn.tree.tests.test_tree.test_min_weight_fraction_leaf('ExtraTreeClassifier', 'multilabel', True) ... ok
sklearn.tree.tests.test_tree.test_min_weight_fraction_leaf('ExtraTreeRegressor', 'multilabel', True) ... ok
sklearn.tree.tests.test_tree.test_min_weight_fraction_leaf_with_min_samples_leaf('Presort-DecisionTreeRegressor', 'iris') ... ok
sklearn.tree.tests.test_tree.test_min_weight_fraction_leaf_with_min_samples_leaf('ExtraTreeRegressor', 'iris') ... ok
sklearn.tree.tests.test_tree.test_min_weight_fraction_leaf_with_min_samples_leaf('DecisionTreeRegressor', 'iris') ... ok
sklearn.tree.tests.test_tree.test_min_weight_fraction_leaf_with_min_samples_leaf('ExtraTreeClassifier', 'iris') ... ok
sklearn.tree.tests.test_tree.test_min_weight_fraction_leaf_with_min_samples_leaf('Presort-DecisionTreeClassifier', 'iris') ... ok
sklearn.tree.tests.test_tree.test_min_weight_fraction_leaf_with_min_samples_leaf('DecisionTreeClassifier', 'iris') ... ok
sklearn.tree.tests.test_tree.test_min_weight_fraction_leaf_with_min_samples_leaf('DecisionTreeClassifier', 'multilabel', True) ... ok
sklearn.tree.tests.test_tree.test_min_weight_fraction_leaf_with_min_samples_leaf('DecisionTreeRegressor', 'multilabel', True) ... ok
sklearn.tree.tests.test_tree.test_min_weight_fraction_leaf_with_min_samples_leaf('ExtraTreeClassifier', 'multilabel', True) ... ok
sklearn.tree.tests.test_tree.test_min_weight_fraction_leaf_with_min_samples_leaf('ExtraTreeRegressor', 'multilabel', True) ... ok
sklearn.tree.tests.test_tree.test_min_impurity_split ... ok
sklearn.tree.tests.test_tree.test_min_impurity_decrease ... ok
sklearn.tree.tests.test_tree.test_multioutput ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tree/tree.py:868: RuntimeWarning: divide by zero encountered in log
proba[k] = np.log(proba[k])
ok
sklearn.tree.tests.test_tree.test_classes_shape ... ok
sklearn.tree.tests.test_tree.test_unbalanced_iris ... ok
sklearn.tree.tests.test_tree.test_memory_layout ... ok
sklearn.tree.tests.test_tree.test_sample_weight ... ok
sklearn.tree.tests.test_tree.test_sample_weight_invalid ... ok
sklearn.tree.tests.test_tree.test_class_weights('ExtraTreeClassifier',) ... ok
sklearn.tree.tests.test_tree.test_class_weights('Presort-DecisionTreeClassifier',) ... ok
sklearn.tree.tests.test_tree.test_class_weights('DecisionTreeClassifier',) ... ok
sklearn.tree.tests.test_tree.test_class_weight_errors('ExtraTreeClassifier',) ... ok
sklearn.tree.tests.test_tree.test_class_weight_errors('Presort-DecisionTreeClassifier',) ... ok
sklearn.tree.tests.test_tree.test_class_weight_errors('DecisionTreeClassifier',) ... ok
sklearn.tree.tests.test_tree.test_max_leaf_nodes ... ok
sklearn.tree.tests.test_tree.test_max_leaf_nodes_max_depth ... ok
sklearn.tree.tests.test_tree.test_arrays_persist ... ok
sklearn.tree.tests.test_tree.test_only_constant_features ... ok
sklearn.tree.tests.test_tree.test_behaviour_constant_feature_after_splits ... ok
sklearn.tree.tests.test_tree.test_with_only_one_non_constant_features ... ok
sklearn.tree.tests.test_tree.test_big_input ... ok
sklearn.tree.tests.test_tree.test_realloc ... ok
sklearn.tree.tests.test_tree.test_huge_allocations ... ok
sklearn.tree.tests.test_tree.test_sparse_input('DecisionTreeClassifier', 'clf_small', None) ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tree/tree.py:864: RuntimeWarning: divide by zero encountered in log
return np.log(proba)
ok
sklearn.tree.tests.test_tree.test_sparse_input('DecisionTreeClassifier', 'toy', None) ... ok
sklearn.tree.tests.test_tree.test_sparse_input('DecisionTreeClassifier', 'digits', 3) ... ok
sklearn.tree.tests.test_tree.test_sparse_input('DecisionTreeClassifier', 'multilabel', None) ... ok
sklearn.tree.tests.test_tree.test_sparse_input('DecisionTreeClassifier', 'sparse-pos', None) ... ok
sklearn.tree.tests.test_tree.test_sparse_input('DecisionTreeClassifier', 'sparse-neg', None) ... ok
sklearn.tree.tests.test_tree.test_sparse_input('DecisionTreeClassifier', 'sparse-mix', None) ... ok
sklearn.tree.tests.test_tree.test_sparse_input('DecisionTreeClassifier', 'zeros', None) ... ok
sklearn.tree.tests.test_tree.test_sparse_input('DecisionTreeRegressor', 'clf_small', None) ... ok
sklearn.tree.tests.test_tree.test_sparse_input('DecisionTreeRegressor', 'toy', None) ... ok
sklearn.tree.tests.test_tree.test_sparse_input('DecisionTreeRegressor', 'digits', 3) ... ok
sklearn.tree.tests.test_tree.test_sparse_input('DecisionTreeRegressor', 'multilabel', None) ... ok
sklearn.tree.tests.test_tree.test_sparse_input('DecisionTreeRegressor', 'sparse-pos', None) ... ok
sklearn.tree.tests.test_tree.test_sparse_input('DecisionTreeRegressor', 'sparse-neg', None) ... ok
sklearn.tree.tests.test_tree.test_sparse_input('DecisionTreeRegressor', 'sparse-mix', None) ... ok
sklearn.tree.tests.test_tree.test_sparse_input('DecisionTreeRegressor', 'zeros', None) ... ok
sklearn.tree.tests.test_tree.test_sparse_input('ExtraTreeClassifier', 'clf_small', None) ... ok
sklearn.tree.tests.test_tree.test_sparse_input('ExtraTreeClassifier', 'toy', None) ... ok
sklearn.tree.tests.test_tree.test_sparse_input('ExtraTreeClassifier', 'digits', 3) ... ok
sklearn.tree.tests.test_tree.test_sparse_input('ExtraTreeClassifier', 'multilabel', None) ... ok
sklearn.tree.tests.test_tree.test_sparse_input('ExtraTreeClassifier', 'sparse-pos', None) ... ok
sklearn.tree.tests.test_tree.test_sparse_input('ExtraTreeClassifier', 'sparse-neg', None) ... ok
sklearn.tree.tests.test_tree.test_sparse_input('ExtraTreeClassifier', 'sparse-mix', None) ... ok
sklearn.tree.tests.test_tree.test_sparse_input('ExtraTreeClassifier', 'zeros', None) ... ok
sklearn.tree.tests.test_tree.test_sparse_input('ExtraTreeRegressor', 'clf_small', None) ... ok
sklearn.tree.tests.test_tree.test_sparse_input('ExtraTreeRegressor', 'toy', None) ... ok
sklearn.tree.tests.test_tree.test_sparse_input('ExtraTreeRegressor', 'digits', 3) ... ok
sklearn.tree.tests.test_tree.test_sparse_input('ExtraTreeRegressor', 'multilabel', None) ... ok
sklearn.tree.tests.test_tree.test_sparse_input('ExtraTreeRegressor', 'sparse-pos', None) ... ok
sklearn.tree.tests.test_tree.test_sparse_input('ExtraTreeRegressor', 'sparse-neg', None) ... ok
sklearn.tree.tests.test_tree.test_sparse_input('ExtraTreeRegressor', 'sparse-mix', None) ... ok
sklearn.tree.tests.test_tree.test_sparse_input('ExtraTreeRegressor', 'zeros', None) ... ok
sklearn.tree.tests.test_tree.test_sparse_input('DecisionTreeRegressor', 'boston', 2) ... ok
sklearn.tree.tests.test_tree.test_sparse_input('DecisionTreeRegressor', 'reg_small', 2) ... ok
sklearn.tree.tests.test_tree.test_sparse_input('ExtraTreeRegressor', 'boston', 2) ... ok
sklearn.tree.tests.test_tree.test_sparse_input('ExtraTreeRegressor', 'reg_small', 2) ... ok
sklearn.tree.tests.test_tree.test_sparse_parameters('DecisionTreeClassifier', 'sparse-pos') ... ok
sklearn.tree.tests.test_tree.test_sparse_parameters('DecisionTreeClassifier', 'sparse-neg') ... ok
sklearn.tree.tests.test_tree.test_sparse_parameters('DecisionTreeClassifier', 'sparse-mix') ... ok
sklearn.tree.tests.test_tree.test_sparse_parameters('DecisionTreeClassifier', 'zeros') ... ok
sklearn.tree.tests.test_tree.test_sparse_parameters('DecisionTreeRegressor', 'sparse-pos') ... ok
sklearn.tree.tests.test_tree.test_sparse_parameters('DecisionTreeRegressor', 'sparse-neg') ... ok
sklearn.tree.tests.test_tree.test_sparse_parameters('DecisionTreeRegressor', 'sparse-mix') ... ok
sklearn.tree.tests.test_tree.test_sparse_parameters('DecisionTreeRegressor', 'zeros') ... ok
sklearn.tree.tests.test_tree.test_sparse_parameters('ExtraTreeClassifier', 'sparse-pos') ... ok
sklearn.tree.tests.test_tree.test_sparse_parameters('ExtraTreeClassifier', 'sparse-neg') ... ok
sklearn.tree.tests.test_tree.test_sparse_parameters('ExtraTreeClassifier', 'sparse-mix') ... ok
sklearn.tree.tests.test_tree.test_sparse_parameters('ExtraTreeClassifier', 'zeros') ... ok
sklearn.tree.tests.test_tree.test_sparse_parameters('ExtraTreeRegressor', 'sparse-pos') ... ok
sklearn.tree.tests.test_tree.test_sparse_parameters('ExtraTreeRegressor', 'sparse-neg') ... ok
sklearn.tree.tests.test_tree.test_sparse_parameters('ExtraTreeRegressor', 'sparse-mix') ... ok
sklearn.tree.tests.test_tree.test_sparse_parameters('ExtraTreeRegressor', 'zeros') ... ok
sklearn.tree.tests.test_tree.test_sparse_criterion('DecisionTreeClassifier', 'sparse-pos') ... ok
sklearn.tree.tests.test_tree.test_sparse_criterion('DecisionTreeClassifier', 'sparse-neg') ... ok
sklearn.tree.tests.test_tree.test_sparse_criterion('DecisionTreeClassifier', 'sparse-mix') ... ok
sklearn.tree.tests.test_tree.test_sparse_criterion('DecisionTreeClassifier', 'zeros') ... ok
sklearn.tree.tests.test_tree.test_sparse_criterion('DecisionTreeRegressor', 'sparse-pos') ... ok
sklearn.tree.tests.test_tree.test_sparse_criterion('DecisionTreeRegressor', 'sparse-neg') ... ok
sklearn.tree.tests.test_tree.test_sparse_criterion('DecisionTreeRegressor', 'sparse-mix') ... ok
sklearn.tree.tests.test_tree.test_sparse_criterion('DecisionTreeRegressor', 'zeros') ... ok
sklearn.tree.tests.test_tree.test_sparse_criterion('ExtraTreeClassifier', 'sparse-pos') ... ok
sklearn.tree.tests.test_tree.test_sparse_criterion('ExtraTreeClassifier', 'sparse-neg') ... ok
sklearn.tree.tests.test_tree.test_sparse_criterion('ExtraTreeClassifier', 'sparse-mix') ... ok
sklearn.tree.tests.test_tree.test_sparse_criterion('ExtraTreeClassifier', 'zeros') ... ok
sklearn.tree.tests.test_tree.test_sparse_criterion('ExtraTreeRegressor', 'sparse-pos') ... ok
sklearn.tree.tests.test_tree.test_sparse_criterion('ExtraTreeRegressor', 'sparse-neg') ... ok
sklearn.tree.tests.test_tree.test_sparse_criterion('ExtraTreeRegressor', 'sparse-mix') ... ok
sklearn.tree.tests.test_tree.test_sparse_criterion('ExtraTreeRegressor', 'zeros') ... ok
sklearn.tree.tests.test_tree.test_explicit_sparse_zeros('DecisionTreeClassifier',) ... ok
sklearn.tree.tests.test_tree.test_explicit_sparse_zeros('DecisionTreeRegressor',) ... ok
sklearn.tree.tests.test_tree.test_explicit_sparse_zeros('ExtraTreeClassifier',) ... ok
sklearn.tree.tests.test_tree.test_explicit_sparse_zeros('ExtraTreeRegressor',) ... ok
sklearn.tree.tests.test_tree.test_min_weight_leaf_split_level('Presort-DecisionTreeRegressor',) ... ok
sklearn.tree.tests.test_tree.test_min_weight_leaf_split_level('ExtraTreeRegressor',) ... ok
sklearn.tree.tests.test_tree.test_min_weight_leaf_split_level('DecisionTreeRegressor',) ... ok
sklearn.tree.tests.test_tree.test_min_weight_leaf_split_level('ExtraTreeClassifier',) ... ok
sklearn.tree.tests.test_tree.test_min_weight_leaf_split_level('Presort-DecisionTreeClassifier',) ... ok
sklearn.tree.tests.test_tree.test_min_weight_leaf_split_level('DecisionTreeClassifier',) ... ok
sklearn.tree.tests.test_tree.test_public_apply('Presort-DecisionTreeRegressor',) ... ok
sklearn.tree.tests.test_tree.test_public_apply('ExtraTreeRegressor',) ... ok
sklearn.tree.tests.test_tree.test_public_apply('DecisionTreeRegressor',) ... ok
sklearn.tree.tests.test_tree.test_public_apply('ExtraTreeClassifier',) ... ok
sklearn.tree.tests.test_tree.test_public_apply('Presort-DecisionTreeClassifier',) ... ok
sklearn.tree.tests.test_tree.test_public_apply('DecisionTreeClassifier',) ... ok
sklearn.tree.tests.test_tree.test_public_apply('DecisionTreeClassifier',) ... ok
sklearn.tree.tests.test_tree.test_public_apply('DecisionTreeRegressor',) ... ok
sklearn.tree.tests.test_tree.test_public_apply('ExtraTreeClassifier',) ... ok
sklearn.tree.tests.test_tree.test_public_apply('ExtraTreeRegressor',) ... ok
sklearn.tree.tests.test_tree.test_presort_sparse(DecisionTreeClassifier(class_weight=None, criterion='gini', max_depth=None, ... ok
sklearn.tree.tests.test_tree.test_presort_sparse(DecisionTreeClassifier(class_weight=None, criterion='gini', max_depth=None, ... ok
sklearn.tree.tests.test_tree.test_presort_sparse(DecisionTreeClassifier(class_weight=None, criterion='gini', max_depth=None, ... ok
sklearn.tree.tests.test_tree.test_presort_sparse(DecisionTreeRegressor(criterion='mse', max_depth=None, max_features=None, ... ok
sklearn.tree.tests.test_tree.test_presort_sparse(DecisionTreeRegressor(criterion='mse', max_depth=None, max_features=None, ... ok
sklearn.tree.tests.test_tree.test_presort_sparse(DecisionTreeRegressor(criterion='mse', max_depth=None, max_features=None, ... ok
sklearn.tree.tests.test_tree.test_decision_path_hardcoded ... ok
sklearn.tree.tests.test_tree.test_decision_path('Presort-DecisionTreeRegressor',) ... ok
sklearn.tree.tests.test_tree.test_decision_path('ExtraTreeRegressor',) ... ok
sklearn.tree.tests.test_tree.test_decision_path('DecisionTreeRegressor',) ... ok
sklearn.tree.tests.test_tree.test_decision_path('ExtraTreeClassifier',) ... ok
sklearn.tree.tests.test_tree.test_decision_path('Presort-DecisionTreeClassifier',) ... ok
sklearn.tree.tests.test_tree.test_decision_path('DecisionTreeClassifier',) ... ok
sklearn.tree.tests.test_tree.test_no_sparse_y_support('Presort-DecisionTreeRegressor',) ... ok
sklearn.tree.tests.test_tree.test_no_sparse_y_support('ExtraTreeRegressor',) ... ok
sklearn.tree.tests.test_tree.test_no_sparse_y_support('DecisionTreeRegressor',) ... ok
sklearn.tree.tests.test_tree.test_no_sparse_y_support('ExtraTreeClassifier',) ... ok
sklearn.tree.tests.test_tree.test_no_sparse_y_support('Presort-DecisionTreeClassifier',) ... ok
sklearn.tree.tests.test_tree.test_no_sparse_y_support('DecisionTreeClassifier',) ... ok
sklearn.tree.tests.test_tree.test_mae ... ok
sklearn.tree.tests.test_tree.test_criterion_copy ... ok
sklearn.utils.tests.test_bench.test_total_seconds ... ok
sklearn.utils.tests.test_class_weight.test_compute_class_weight ... ok
sklearn.utils.tests.test_class_weight.test_compute_class_weight_not_present ... ok
sklearn.utils.tests.test_class_weight.test_compute_class_weight_dict ... ok
sklearn.utils.tests.test_class_weight.test_compute_class_weight_invariance ... ok
sklearn.utils.tests.test_class_weight.test_compute_class_weight_balanced_negative ... ok
sklearn.utils.tests.test_class_weight.test_compute_class_weight_balanced_unordered ... ok
sklearn.utils.tests.test_class_weight.test_compute_sample_weight ... ok
sklearn.utils.tests.test_class_weight.test_compute_sample_weight_with_subsample ... ok
sklearn.utils.tests.test_class_weight.test_compute_sample_weight_errors ... ok
sklearn.utils.tests.test_deprecation.test_deprecated ... ok
sklearn.utils.tests.test_deprecation.test_is_deprecated ... SKIP: This test will run only on python3.5 and above
sklearn.utils.tests.test_deprecation.test_pickle ... ok
sklearn.utils.tests.test_deprecation.test_deprecationdict ... ok
sklearn.utils.tests.test_estimator_checks.test_check_estimator ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/estimator_checks.py:269: SkipTestWarning: pandas is not installed: not testing for input of type pandas.Series to class weight.
warnings.warn(message, SkipTestWarning)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/estimator_checks.py:269: SkipTestWarning: pandas is not installed: not testing for input of type pandas.Series to class weight.
warnings.warn(message, SkipTestWarning)
ok
sklearn.utils.tests.test_estimator_checks.test_check_estimator_clones ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/estimator_checks.py:269: SkipTestWarning: pandas is not installed: not testing for input of type pandas.Series to class weight.
warnings.warn(message, SkipTestWarning)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/estimator_checks.py:269: SkipTestWarning: pandas is not installed: not testing for input of type pandas.Series to class weight.
warnings.warn(message, SkipTestWarning)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/estimator_checks.py:269: SkipTestWarning: pandas is not installed: not testing for input of type pandas.Series to class weight.
warnings.warn(message, SkipTestWarning)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/estimator_checks.py:269: SkipTestWarning: pandas is not installed: not testing for input of type pandas.Series to class weight.
warnings.warn(message, SkipTestWarning)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/estimator_checks.py:269: SkipTestWarning: pandas is not installed: not testing for input of type pandas.Series to class weight.
warnings.warn(message, SkipTestWarning)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/linear_model/stochastic_gradient.py:128: FutureWarning: max_iter and tol parameters have been added in <class 'sklearn.linear_model.stochastic_gradient.SGDClassifier'> in 0.19. If both are left unset, they default to max_iter=5 and tol=None. If tol is not None, max_iter defaults to max_iter=1000. From 0.21, default max_iter will be 1000, and default tol will be 1e-3.
"and default tol will be 1e-3." % type(self), FutureWarning)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/estimator_checks.py:269: SkipTestWarning: pandas is not installed: not testing for input of type pandas.Series to class weight.
warnings.warn(message, SkipTestWarning)
ok
sklearn.utils.tests.test_estimator_checks.test_check_estimators_unfitted ... ok
sklearn.utils.tests.test_estimator_checks.test_check_no_fit_attributes_set_in_init ... ok
sklearn.utils.tests.test_extmath.test_density ... ok
sklearn.utils.tests.test_extmath.test_uniform_weights ... ok
sklearn.utils.tests.test_extmath.test_random_weights ... ok
sklearn.utils.tests.test_extmath.test_randomized_svd_low_rank_all_dtypes(<type 'numpy.int32'>,) ... ok
sklearn.utils.tests.test_extmath.test_randomized_svd_low_rank_all_dtypes(<type 'numpy.int64'>,) ... ok
sklearn.utils.tests.test_extmath.test_randomized_svd_low_rank_all_dtypes(<type 'numpy.float32'>,) ... ok
sklearn.utils.tests.test_extmath.test_randomized_svd_low_rank_all_dtypes(<type 'numpy.float64'>,) ... ok
sklearn.utils.tests.test_extmath.test_row_norms ... ok
sklearn.utils.tests.test_extmath.test_randomized_svd_low_rank_with_noise ... ok
sklearn.utils.tests.test_extmath.test_randomized_svd_infinite_rank ... ok
sklearn.utils.tests.test_extmath.test_logsumexp ... ok
sklearn.utils.tests.test_extmath.test_norm_squared_norm ... ok
sklearn.utils.tests.test_extmath.test_randomized_svd_transpose_consistency ... ok
sklearn.utils.tests.test_extmath.test_randomized_svd_power_iteration_normalizer ... ok
sklearn.utils.tests.test_extmath.test_svd_flip ... ok
sklearn.utils.tests.test_extmath.test_randomized_svd_sign_flip ... ok
sklearn.utils.tests.test_extmath.test_randomized_svd_sign_flip_with_transpose ... ok
sklearn.utils.tests.test_extmath.test_cartesian ... ok
sklearn.utils.tests.test_extmath.test_logistic_sigmoid ... ok
sklearn.utils.tests.test_extmath.test_incremental_variance_update_formulas ... ok
sklearn.utils.tests.test_extmath.test_incremental_variance_ddof ... ok
sklearn.utils.tests.test_extmath.test_vector_sign_flip ... ok
sklearn.utils.tests.test_extmath.test_softmax ... ok
sklearn.utils.tests.test_extmath.test_stable_cumsum ... ok
sklearn.utils.tests.test_extmath.test_incremental_variance_numerical_stability ... SKIP: Test skipped on 32bit platforms.
sklearn.utils.tests.test_fast_dict.test_int_float_dict ... ok
sklearn.utils.tests.test_fast_dict.test_int_float_dict_argmin ... ok
sklearn.utils.tests.test_fixes.test_divide ... ok
sklearn.utils.tests.test_fixes.test_masked_array_obj_dtype_pickleable ... ok
sklearn.utils.tests.test_graph.test_graph_laplacian ... ok
sklearn.utils.tests.test_linear_assignment.test_hungarian ... ok
sklearn.utils.tests.test_metaestimators.test_delegated_docstring ... ok
sklearn.utils.tests.test_metaestimators.test_if_delegate_has_method ... ok
sklearn.utils.tests.test_multiclass.test_unique_labels ... ok
sklearn.utils.tests.test_multiclass.test_unique_labels_non_specific ... ok
sklearn.utils.tests.test_multiclass.test_unique_labels_mixed_types ... ok
sklearn.utils.tests.test_multiclass.test_is_multilabel ... ok
sklearn.utils.tests.test_multiclass.test_check_classification_targets ... ok
sklearn.utils.tests.test_multiclass.test_type_of_target ... SKIP: Pandas not found
sklearn.utils.tests.test_multiclass.test_class_distribution ... ok
sklearn.utils.tests.test_multiclass.test_safe_split_with_precomputed_kernel ... ok
sklearn.utils.tests.test_murmurhash.test_mmhash3_int ... ok
sklearn.utils.tests.test_murmurhash.test_mmhash3_int_array ... ok
sklearn.utils.tests.test_murmurhash.test_mmhash3_bytes ... ok
sklearn.utils.tests.test_murmurhash.test_mmhash3_unicode ... ok
sklearn.utils.tests.test_murmurhash.test_no_collision_on_byte_range ... ok
sklearn.utils.tests.test_murmurhash.test_uniform_distribution ... ok
sklearn.utils.tests.test_optimize.test_newton_cg ... ok
sklearn.utils.tests.test_random.test_invalid_sample_without_replacement_algorithm ... ok
sklearn.utils.tests.test_random.test_sample_without_replacement_algorithms ... ok
sklearn.utils.tests.test_random.test_random_choice_csc ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/random.py:191: RuntimeWarning: invalid value encountered in true_divide
np.sum(class_probability_nz))
ok
sklearn.utils.tests.test_random.test_random_choice_csc_errors ... ok
sklearn.utils.tests.test_seq_dataset.test_seq_dataset ... ok
sklearn.utils.tests.test_seq_dataset.test_seq_dataset_shuffle ... ok
sklearn.utils.tests.test_shortest_path.test_floyd_warshall ... ok
sklearn.utils.tests.test_shortest_path.test_dijkstra ... ok
sklearn.utils.tests.test_shortest_path.test_shortest_path ... ok
sklearn.utils.tests.test_shortest_path.test_dijkstra_bug_fix ... ok
sklearn.utils.tests.test_sparsefuncs.test_mean_variance_axis0 ... ok
sklearn.utils.tests.test_sparsefuncs.test_mean_variance_axis1 ... ok
sklearn.utils.tests.test_sparsefuncs.test_incr_mean_variance_axis ... ok
sklearn.utils.tests.test_sparsefuncs.test_mean_variance_illegal_axis ... ok
sklearn.utils.tests.test_sparsefuncs.test_densify_rows ... ok
sklearn.utils.tests.test_sparsefuncs.test_inplace_column_scale ... ok
sklearn.utils.tests.test_sparsefuncs.test_inplace_row_scale ... ok
sklearn.utils.tests.test_sparsefuncs.test_inplace_swap_row ... ok
sklearn.utils.tests.test_sparsefuncs.test_inplace_swap_column ... ok
sklearn.utils.tests.test_sparsefuncs.test_min_max_axis0 ... ok
sklearn.utils.tests.test_sparsefuncs.test_min_max_axis1 ... ok
sklearn.utils.tests.test_sparsefuncs.test_min_max_axis_errors ... ok
sklearn.utils.tests.test_sparsefuncs.test_count_nonzero ... ok
sklearn.utils.tests.test_sparsefuncs.test_csc_row_median ... ok
sklearn.utils.tests.test_sparsefuncs.test_inplace_normalize ... ok
sklearn.utils.tests.test_stats.test_cases ... ok
test_warn (sklearn.utils.tests.test_testing.TestWarns) ... ok
test_warn_wrong_warning (sklearn.utils.tests.test_testing.TestWarns) ... ok
sklearn.utils.tests.test_testing.test_assert_less ... ok
sklearn.utils.tests.test_testing.test_assert_greater ... ok
sklearn.utils.tests.test_testing.test_assert_less_equal ... ok
sklearn.utils.tests.test_testing.test_assert_greater_equal ... ok
sklearn.utils.tests.test_testing.test_set_random_state ... ok
sklearn.utils.tests.test_testing.test_assert_allclose_dense_sparse ... ok
sklearn.utils.tests.test_testing.test_assert_raise_message ... ok
sklearn.utils.tests.test_testing.test_ignore_warning ... ok
sklearn.utils.tests.test_testing.test_check_docstring_parameters ... SKIP: numpydoc is required to test the docstrings
sklearn.utils.tests.test_utils.test_make_rng ... ok
sklearn.utils.tests.test_utils.test_deprecated ... ok
sklearn.utils.tests.test_utils.test_resample ... ok
sklearn.utils.tests.test_utils.test_safe_mask ... ok
sklearn.utils.tests.test_utils.test_column_or_1d ... ok
sklearn.utils.tests.test_utils.test_safe_indexing ... ok
sklearn.utils.tests.test_utils.test_safe_indexing_pandas ... SKIP: Pandas not found
sklearn.utils.tests.test_utils.test_safe_indexing_mock_pandas ... ok
sklearn.utils.tests.test_utils.test_shuffle_on_ndim_equals_three ... ok
sklearn.utils.tests.test_utils.test_shuffle_dont_convert_to_array ... ok
sklearn.utils.tests.test_utils.test_gen_even_slices ... ok
sklearn.utils.tests.test_utils.test_arpack_eigsh_initialization ... ok
sklearn.utils.tests.test_utils.test_pinvh_nonpositive ... ok
sklearn.utils.tests.test_utils.test_pinvh_simple_complex ... ok
sklearn.utils.tests.test_utils.test_pinvh_simple_real ... ok
sklearn.utils.tests.test_validation.test_as_float_array ... ok
sklearn.utils.tests.test_validation.test_np_matrix ... ok
sklearn.utils.tests.test_validation.test_memmap ... ok
sklearn.utils.tests.test_validation.test_ordering ... ok
sklearn.utils.tests.test_validation.test_check_array_pandas_dtype_object_conversion ... ok
sklearn.utils.tests.test_validation.test_check_array_on_mock_dataframe ... ok
sklearn.utils.tests.test_validation.test_check_array_dtype_stability ... ok
sklearn.utils.tests.test_validation.test_check_array_dtype_warning ... ok
sklearn.utils.tests.test_validation.test_check_array ... ok
sklearn.utils.tests.test_validation.test_check_array_accept_sparse_type_exception ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/validation.py:393: DeprecationWarning: Passing 'None' to parameter 'accept_sparse' in methods check_array and check_X_y is deprecated in version 0.19 and will be removed in 0.21. Use 'accept_sparse=False' instead.
" instead.", DeprecationWarning)
ok
sklearn.utils.tests.test_validation.test_check_array_accept_sparse_no_exception ... ok
sklearn.utils.tests.test_validation.test_check_array_min_samples_and_features_messages ... ok
sklearn.utils.tests.test_validation.test_has_fit_parameter ... ok
sklearn.utils.tests.test_validation.test_check_symmetric ... ok
sklearn.utils.tests.test_validation.test_check_is_fitted ... ok
sklearn.utils.tests.test_validation.test_check_consistent_length ... ok
sklearn.utils.tests.test_validation.test_check_dataframe_fit_attribute ... SKIP: Pandas not found
sklearn.utils.tests.test_validation.test_suppress_validation ... ok
sklearn.utils.tests.test_validation.test_check_memory ... ok
sklearn.tests.test_base.test_clone ... ok
sklearn.tests.test_base.test_clone_2 ... ok
sklearn.tests.test_base.test_clone_buggy ... ok
sklearn.tests.test_base.test_clone_empty_array ... ok
sklearn.tests.test_base.test_clone_nan ... ok
sklearn.tests.test_base.test_clone_copy_init_params ... ok
sklearn.tests.test_base.test_clone_sparse_matrices ... ok
sklearn.tests.test_base.test_repr ... ok
sklearn.tests.test_base.test_str ... ok
sklearn.tests.test_base.test_get_params ... ok
sklearn.tests.test_base.test_get_params_deprecated ... ok
sklearn.tests.test_base.test_is_classifier ... ok
sklearn.tests.test_base.test_set_params ... ok
sklearn.tests.test_base.test_set_params_passes_all_parameters ... ok
sklearn.tests.test_base.test_score_sample_weight ... ok
sklearn.tests.test_base.test_pickling_works_when_getstate_is_overwritten_in_the_child_class ... ok
sklearn.tests.test_base.test_clone_pandas_dataframe ... ok
sklearn.tests.test_base.test_pickle_version_warning_is_not_raised_with_matching_version ... ok
sklearn.tests.test_base.test_pickle_version_warning_is_issued_upon_different_version ... ok
sklearn.tests.test_base.test_pickle_version_warning_is_issued_when_no_version_info_in_pickle ... ok
sklearn.tests.test_base.test_pickle_version_no_warning_is_issued_with_non_sklearn_estimator ... ok
sklearn.tests.test_base.test_pickling_when_getstate_is_overwritten_by_mixin ... ok
sklearn.tests.test_base.test_pickling_when_getstate_is_overwritten_by_mixin_outside_of_sklearn ... ok
sklearn.tests.test_calibration.test_sample_weight ... ok
Test calibration for multiclass ... ok
Test calibration for prefitted classifiers ... ok
Test calibration values with Platt sigmoid model ... ok
Check calibration_curve function ... ok
Test that calibration can accept nan ... ok
sklearn.tests.test_calibration.test_calibration_prob_sum ... ok
Test calibration objects with isotonic and sigmoid ... ok
sklearn.tests.test_calibration.test_calibration_less_classes ... ok
sklearn.tests.test_check_build.test_raise_build_error ... ok
sklearn.tests.test_common.test_all_estimator_no_base_class ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(ARDRegression) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(AdaBoostClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(AdaBoostRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(AdditiveChi2Sampler) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(AffinityPropagation) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(AgglomerativeClustering) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(BaggingClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(BaggingRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(BayesianGaussianMixture) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(BayesianRidge) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(BernoulliNB) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(BernoulliRBM) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(Binarizer) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(Birch) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(CCA) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(CalibratedClassifierCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(ClassifierChain) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(DBSCAN) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(DPGMM) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(DecisionTreeClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(DecisionTreeRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(DictionaryLearning) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(ElasticNet) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(ElasticNetCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(EmpiricalCovariance) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(ExtraTreeClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(ExtraTreeRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(ExtraTreesClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(ExtraTreesRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(FactorAnalysis) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(FastICA) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(FeatureAgglomeration) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(FunctionTransformer) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(GMM) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(GaussianMixture) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(GaussianNB) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(GaussianProcess) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(GaussianProcessClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(GaussianProcessRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(GaussianRandomProjection) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(GenericUnivariateSelect) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(GradientBoostingClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(GradientBoostingRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(GraphLasso) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(GraphLassoCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(HuberRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(Imputer) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(IncrementalPCA) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(IsolationForest) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(Isomap) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(KMeans) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(KNeighborsClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(KNeighborsRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(KernelCenterer) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(KernelDensity) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(KernelPCA) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(KernelRidge) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(LSHForest) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(LabelPropagation) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(LabelSpreading) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(Lars) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(LarsCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(Lasso) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(LassoCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(LassoLars) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(LassoLarsCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(LassoLarsIC) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(LatentDirichletAllocation) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(LedoitWolf) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(LinearDiscriminantAnalysis) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(LinearRegression) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(LinearSVC) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(LinearSVR) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(LocalOutlierFactor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(LocallyLinearEmbedding) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(LogisticRegression) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(LogisticRegressionCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(MDS) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(MLPClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(MLPRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(MaxAbsScaler) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(MeanShift) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(MinCovDet) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(MinMaxScaler) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(MiniBatchDictionaryLearning) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(MiniBatchKMeans) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(MiniBatchSparsePCA) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(MultiOutputClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(MultiOutputRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(MultiTaskElasticNet) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(MultiTaskElasticNetCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(MultiTaskLasso) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(MultiTaskLassoCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(MultinomialNB) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(NMF) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(NearestCentroid) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(NearestNeighbors) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(Normalizer) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(NuSVC) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(NuSVR) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(Nystroem) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(OAS) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(OneClassSVM) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(OneVsOneClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(OneVsRestClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(OrthogonalMatchingPursuit) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(OrthogonalMatchingPursuitCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(OutputCodeClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(PCA) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(PLSCanonical) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(PLSRegression) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(PLSSVD) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(PassiveAggressiveClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(PassiveAggressiveRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(Perceptron) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(QuadraticDiscriminantAnalysis) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(QuantileTransformer) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(RANSACRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(RBFSampler) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(RFE) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(RFECV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(RadiusNeighborsClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(RadiusNeighborsRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(RandomForestClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(RandomForestRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(RandomizedLasso) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(RandomizedLogisticRegression) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(RandomizedPCA) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(Ridge) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(RidgeCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(RidgeClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(RidgeClassifierCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(RobustScaler) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(SGDClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(SGDRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(SVC) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(SVR) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(SelectFdr) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(SelectFpr) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(SelectFwe) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(SelectKBest) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(SelectPercentile) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(ShrunkCovariance) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(SkewedChi2Sampler) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(SparsePCA) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(SparseRandomProjection) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(SpectralBiclustering) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(SpectralClustering) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(SpectralCoclustering) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(SpectralEmbedding) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(StandardScaler) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(TSNE) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(TheilSenRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(VBGMM) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(VarianceThreshold) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(_BaseRidgeCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(_BinaryGaussianProcessClassifierLaplace) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(_ConstantPredictor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(_DPGMMBase) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(_GMMBase) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(_RidgeGCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_no_fit_attributes_set_in_init(ARDRegression) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_dtypes(ARDRegression) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit_score_takes_y(ARDRegression) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dtype_object(ARDRegression) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_pandas_series(ARDRegression) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_list(ARDRegression) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_fit_returns_self(ARDRegression) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_empty_data_messages(ARDRegression) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_pipeline_consistency(ARDRegression) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_nan_inf(ARDRegression) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_overwrite_params(ARDRegression) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimator_sparse_data(ARDRegression) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_pickle(ARDRegression) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressors_train(ARDRegression) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressor_data_not_an_array(ARDRegression) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_partial_fit_n_features(ARDRegression) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressors_no_decision_function(ARDRegression) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_supervised_y_2d(ARDRegression) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_supervised_y_no_nan(ARDRegression) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressors_int(ARDRegression) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_unfitted(ARDRegression) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_non_transformer_estimators_n_iter(ARDRegression) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_predict1d(ARDRegression) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1sample(ARDRegression) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1feature(ARDRegression) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1feature(ARDRegression) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1sample(ARDRegression) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_get_params_invariance(ARDRegression) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dict_unchanged(ARDRegression) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dont_overwrite_parameters(ARDRegression) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_no_fit_attributes_set_in_init(AdaBoostClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_dtypes(AdaBoostClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit_score_takes_y(AdaBoostClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dtype_object(AdaBoostClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_pandas_series(AdaBoostClassifier) ... SKIP: pandas is not installed: not testing for input of type pandas.Series to class weight.
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_list(AdaBoostClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_fit_returns_self(AdaBoostClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_empty_data_messages(AdaBoostClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_pipeline_consistency(AdaBoostClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_nan_inf(AdaBoostClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_overwrite_params(AdaBoostClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimator_sparse_data(AdaBoostClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_pickle(AdaBoostClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_classifier_data_not_an_array(AdaBoostClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_classifiers_one_label(AdaBoostClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_classifiers_classes(AdaBoostClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_partial_fit_n_features(AdaBoostClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_classifiers_train(AdaBoostClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_classifiers_regression_target(AdaBoostClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_supervised_y_2d(AdaBoostClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_unfitted(AdaBoostClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_non_transformer_estimators_n_iter(AdaBoostClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_decision_proba_consistency(AdaBoostClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_predict1d(AdaBoostClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1sample(AdaBoostClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1feature(AdaBoostClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1feature(AdaBoostClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1sample(AdaBoostClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_get_params_invariance(AdaBoostClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dict_unchanged(AdaBoostClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dont_overwrite_parameters(AdaBoostClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_no_fit_attributes_set_in_init(AdaBoostRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_dtypes(AdaBoostRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit_score_takes_y(AdaBoostRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dtype_object(AdaBoostRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_pandas_series(AdaBoostRegressor) ... SKIP: pandas is not installed: not testing for input of type pandas.Series to class weight.
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_list(AdaBoostRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_fit_returns_self(AdaBoostRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_empty_data_messages(AdaBoostRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_pipeline_consistency(AdaBoostRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_nan_inf(AdaBoostRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_overwrite_params(AdaBoostRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimator_sparse_data(AdaBoostRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_pickle(AdaBoostRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressors_train(AdaBoostRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressor_data_not_an_array(AdaBoostRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_partial_fit_n_features(AdaBoostRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressors_no_decision_function(AdaBoostRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_supervised_y_2d(AdaBoostRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_supervised_y_no_nan(AdaBoostRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressors_int(AdaBoostRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_unfitted(AdaBoostRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_non_transformer_estimators_n_iter(AdaBoostRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_predict1d(AdaBoostRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1sample(AdaBoostRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1feature(AdaBoostRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1feature(AdaBoostRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1sample(AdaBoostRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_get_params_invariance(AdaBoostRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dict_unchanged(AdaBoostRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dont_overwrite_parameters(AdaBoostRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_no_fit_attributes_set_in_init(AdditiveChi2Sampler) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_dtypes(AdditiveChi2Sampler) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit_score_takes_y(AdditiveChi2Sampler) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dtype_object(AdditiveChi2Sampler) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_pandas_series(AdditiveChi2Sampler) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_list(AdditiveChi2Sampler) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_fit_returns_self(AdditiveChi2Sampler) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_empty_data_messages(AdditiveChi2Sampler) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_pipeline_consistency(AdditiveChi2Sampler) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_nan_inf(AdditiveChi2Sampler) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_overwrite_params(AdditiveChi2Sampler) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimator_sparse_data(AdditiveChi2Sampler) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_pickle(AdditiveChi2Sampler) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformer_n_iter(AdditiveChi2Sampler) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_predict1d(AdditiveChi2Sampler) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1sample(AdditiveChi2Sampler) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1feature(AdditiveChi2Sampler) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1feature(AdditiveChi2Sampler) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1sample(AdditiveChi2Sampler) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_get_params_invariance(AdditiveChi2Sampler) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dict_unchanged(AdditiveChi2Sampler) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dont_overwrite_parameters(AdditiveChi2Sampler) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_no_fit_attributes_set_in_init(AffinityPropagation) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_dtypes(AffinityPropagation) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit_score_takes_y(AffinityPropagation) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dtype_object(AffinityPropagation) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_pandas_series(AffinityPropagation) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_list(AffinityPropagation) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_fit_returns_self(AffinityPropagation) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_empty_data_messages(AffinityPropagation) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_pipeline_consistency(AffinityPropagation) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_nan_inf(AffinityPropagation) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_overwrite_params(AffinityPropagation) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimator_sparse_data(AffinityPropagation) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_pickle(AffinityPropagation) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_clusterer_compute_labels_predict(AffinityPropagation) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_clustering(AffinityPropagation) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_partial_fit_n_features(AffinityPropagation) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_non_transformer_estimators_n_iter(AffinityPropagation) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_predict1d(AffinityPropagation) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1sample(AffinityPropagation) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1feature(AffinityPropagation) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1feature(AffinityPropagation) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1sample(AffinityPropagation) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_get_params_invariance(AffinityPropagation) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dict_unchanged(AffinityPropagation) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dont_overwrite_parameters(AffinityPropagation) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_no_fit_attributes_set_in_init(AgglomerativeClustering) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_dtypes(AgglomerativeClustering) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit_score_takes_y(AgglomerativeClustering) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dtype_object(AgglomerativeClustering) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_pandas_series(AgglomerativeClustering) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_list(AgglomerativeClustering) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_fit_returns_self(AgglomerativeClustering) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_empty_data_messages(AgglomerativeClustering) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_pipeline_consistency(AgglomerativeClustering) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_nan_inf(AgglomerativeClustering) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_overwrite_params(AgglomerativeClustering) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimator_sparse_data(AgglomerativeClustering) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_pickle(AgglomerativeClustering) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_clusterer_compute_labels_predict(AgglomerativeClustering) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_clustering(AgglomerativeClustering) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_partial_fit_n_features(AgglomerativeClustering) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_non_transformer_estimators_n_iter(AgglomerativeClustering) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_predict1d(AgglomerativeClustering) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1sample(AgglomerativeClustering) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1feature(AgglomerativeClustering) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1feature(AgglomerativeClustering) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1sample(AgglomerativeClustering) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_get_params_invariance(AgglomerativeClustering) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dict_unchanged(AgglomerativeClustering) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dont_overwrite_parameters(AgglomerativeClustering) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_no_fit_attributes_set_in_init(BaggingClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_dtypes(BaggingClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit_score_takes_y(BaggingClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dtype_object(BaggingClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_pandas_series(BaggingClassifier) ... SKIP: pandas is not installed: not testing for input of type pandas.Series to class weight.
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_list(BaggingClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_fit_returns_self(BaggingClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_empty_data_messages(BaggingClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_pipeline_consistency(BaggingClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_nan_inf(BaggingClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_overwrite_params(BaggingClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimator_sparse_data(BaggingClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_pickle(BaggingClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_classifier_data_not_an_array(BaggingClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_classifiers_one_label(BaggingClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_classifiers_classes(BaggingClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_partial_fit_n_features(BaggingClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_classifiers_train(BaggingClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_classifiers_regression_target(BaggingClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_supervised_y_2d(BaggingClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_unfitted(BaggingClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_non_transformer_estimators_n_iter(BaggingClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_decision_proba_consistency(BaggingClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_predict1d(BaggingClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1sample(BaggingClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1feature(BaggingClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1feature(BaggingClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1sample(BaggingClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_get_params_invariance(BaggingClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dict_unchanged(BaggingClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dont_overwrite_parameters(BaggingClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_no_fit_attributes_set_in_init(BaggingRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_dtypes(BaggingRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit_score_takes_y(BaggingRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dtype_object(BaggingRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_pandas_series(BaggingRegressor) ... SKIP: pandas is not installed: not testing for input of type pandas.Series to class weight.
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_list(BaggingRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_fit_returns_self(BaggingRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_empty_data_messages(BaggingRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_pipeline_consistency(BaggingRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_nan_inf(BaggingRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_overwrite_params(BaggingRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimator_sparse_data(BaggingRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_pickle(BaggingRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressors_train(BaggingRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressor_data_not_an_array(BaggingRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_partial_fit_n_features(BaggingRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressors_no_decision_function(BaggingRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_supervised_y_2d(BaggingRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_supervised_y_no_nan(BaggingRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressors_int(BaggingRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_unfitted(BaggingRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_non_transformer_estimators_n_iter(BaggingRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_predict1d(BaggingRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1sample(BaggingRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1feature(BaggingRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1feature(BaggingRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1sample(BaggingRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_get_params_invariance(BaggingRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dict_unchanged(BaggingRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dont_overwrite_parameters(BaggingRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_no_fit_attributes_set_in_init(BayesianGaussianMixture) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_dtypes(BayesianGaussianMixture) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit_score_takes_y(BayesianGaussianMixture) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dtype_object(BayesianGaussianMixture) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_pandas_series(BayesianGaussianMixture) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_list(BayesianGaussianMixture) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_fit_returns_self(BayesianGaussianMixture) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_empty_data_messages(BayesianGaussianMixture) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_pipeline_consistency(BayesianGaussianMixture) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_nan_inf(BayesianGaussianMixture) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_overwrite_params(BayesianGaussianMixture) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimator_sparse_data(BayesianGaussianMixture) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_pickle(BayesianGaussianMixture) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_predict1d(BayesianGaussianMixture) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1sample(BayesianGaussianMixture) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1feature(BayesianGaussianMixture) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1feature(BayesianGaussianMixture) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1sample(BayesianGaussianMixture) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_get_params_invariance(BayesianGaussianMixture) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dict_unchanged(BayesianGaussianMixture) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dont_overwrite_parameters(BayesianGaussianMixture) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_no_fit_attributes_set_in_init(BayesianRidge) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_dtypes(BayesianRidge) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit_score_takes_y(BayesianRidge) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dtype_object(BayesianRidge) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_pandas_series(BayesianRidge) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_list(BayesianRidge) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_fit_returns_self(BayesianRidge) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_empty_data_messages(BayesianRidge) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_pipeline_consistency(BayesianRidge) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_nan_inf(BayesianRidge) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_overwrite_params(BayesianRidge) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimator_sparse_data(BayesianRidge) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_pickle(BayesianRidge) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressors_train(BayesianRidge) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressor_data_not_an_array(BayesianRidge) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_partial_fit_n_features(BayesianRidge) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressors_no_decision_function(BayesianRidge) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_supervised_y_2d(BayesianRidge) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_supervised_y_no_nan(BayesianRidge) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressors_int(BayesianRidge) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_unfitted(BayesianRidge) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_non_transformer_estimators_n_iter(BayesianRidge) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_predict1d(BayesianRidge) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1sample(BayesianRidge) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1feature(BayesianRidge) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1feature(BayesianRidge) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1sample(BayesianRidge) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_get_params_invariance(BayesianRidge) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dict_unchanged(BayesianRidge) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dont_overwrite_parameters(BayesianRidge) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_no_fit_attributes_set_in_init(BernoulliNB) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_dtypes(BernoulliNB) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit_score_takes_y(BernoulliNB) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dtype_object(BernoulliNB) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_pandas_series(BernoulliNB) ... SKIP: pandas is not installed: not testing for input of type pandas.Series to class weight.
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_list(BernoulliNB) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_fit_returns_self(BernoulliNB) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_empty_data_messages(BernoulliNB) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_pipeline_consistency(BernoulliNB) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_nan_inf(BernoulliNB) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_overwrite_params(BernoulliNB) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimator_sparse_data(BernoulliNB) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_pickle(BernoulliNB) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_classifier_data_not_an_array(BernoulliNB) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_classifiers_one_label(BernoulliNB) ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/naive_bayes.py:461: RuntimeWarning: divide by zero encountered in log
self.class_log_prior_ = (np.log(self.class_count_) -
ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_classifiers_classes(BernoulliNB) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_partial_fit_n_features(BernoulliNB) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_classifiers_train(BernoulliNB) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_classifiers_regression_target(BernoulliNB) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_supervised_y_2d(BernoulliNB) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_unfitted(BernoulliNB) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_non_transformer_estimators_n_iter(BernoulliNB) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_decision_proba_consistency(BernoulliNB) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_predict1d(BernoulliNB) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1sample(BernoulliNB) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1feature(BernoulliNB) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1feature(BernoulliNB) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1sample(BernoulliNB) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_get_params_invariance(BernoulliNB) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dict_unchanged(BernoulliNB) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dont_overwrite_parameters(BernoulliNB) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_no_fit_attributes_set_in_init(BernoulliRBM) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_dtypes(BernoulliRBM) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit_score_takes_y(BernoulliRBM) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dtype_object(BernoulliRBM) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_pandas_series(BernoulliRBM) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_list(BernoulliRBM) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_fit_returns_self(BernoulliRBM) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_empty_data_messages(BernoulliRBM) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_pipeline_consistency(BernoulliRBM) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_nan_inf(BernoulliRBM) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_overwrite_params(BernoulliRBM) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimator_sparse_data(BernoulliRBM) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_pickle(BernoulliRBM) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformer_data_not_an_array(BernoulliRBM) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformer_general(BernoulliRBM) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformers_unfitted(BernoulliRBM) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformer_n_iter(BernoulliRBM) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_predict1d(BernoulliRBM) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1sample(BernoulliRBM) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1feature(BernoulliRBM) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1feature(BernoulliRBM) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1sample(BernoulliRBM) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_get_params_invariance(BernoulliRBM) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dict_unchanged(BernoulliRBM) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dont_overwrite_parameters(BernoulliRBM) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_no_fit_attributes_set_in_init(Binarizer) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_dtypes(Binarizer) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit_score_takes_y(Binarizer) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dtype_object(Binarizer) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_pandas_series(Binarizer) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_list(Binarizer) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_fit_returns_self(Binarizer) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_empty_data_messages(Binarizer) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_pipeline_consistency(Binarizer) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_nan_inf(Binarizer) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_overwrite_params(Binarizer) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimator_sparse_data(Binarizer) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_pickle(Binarizer) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformer_n_iter(Binarizer) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_predict1d(Binarizer) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1sample(Binarizer) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1feature(Binarizer) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1feature(Binarizer) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1sample(Binarizer) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_get_params_invariance(Binarizer) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dict_unchanged(Binarizer) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dont_overwrite_parameters(Binarizer) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_no_fit_attributes_set_in_init(Birch) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_dtypes(Birch) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit_score_takes_y(Birch) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dtype_object(Birch) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_pandas_series(Birch) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_list(Birch) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_fit_returns_self(Birch) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_empty_data_messages(Birch) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_pipeline_consistency(Birch) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_nan_inf(Birch) ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/birch.py:629: UserWarning: Number of subclusters found (1) by Birch is less than (3). Decrease the threshold.
% (len(centroids), self.n_clusters))
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/birch.py:629: UserWarning: Number of subclusters found (1) by Birch is less than (3). Decrease the threshold.
% (len(centroids), self.n_clusters))
ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_overwrite_params(Birch) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimator_sparse_data(Birch) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_pickle(Birch) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformer_data_not_an_array(Birch) ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/birch.py:629: UserWarning: Number of subclusters found (2) by Birch is less than (3). Decrease the threshold.
% (len(centroids), self.n_clusters))
ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformer_general(Birch) ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/birch.py:629: UserWarning: Number of subclusters found (2) by Birch is less than (3). Decrease the threshold.
% (len(centroids), self.n_clusters))
ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformers_unfitted(Birch) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformer_n_iter(Birch) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_clusterer_compute_labels_predict(Birch) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_clustering(Birch) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_partial_fit_n_features(Birch) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_non_transformer_estimators_n_iter(Birch) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_predict1d(Birch) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1sample(Birch) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1feature(Birch) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1feature(Birch) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1sample(Birch) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_get_params_invariance(Birch) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dict_unchanged(Birch) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dont_overwrite_parameters(Birch) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_no_fit_attributes_set_in_init(CCA) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_dtypes(CCA) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit_score_takes_y(CCA) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dtype_object(CCA) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_pandas_series(CCA) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_list(CCA) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_fit_returns_self(CCA) ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cross_decomposition/pls_.py:287: UserWarning: Y residual constant at iteration 1
warnings.warn('Y residual constant at iteration %s' % k)
ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_empty_data_messages(CCA) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_nan_inf(CCA) ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cross_decomposition/pls_.py:287: UserWarning: Y residual constant at iteration 1
warnings.warn('Y residual constant at iteration %s' % k)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cross_decomposition/pls_.py:287: UserWarning: Y residual constant at iteration 1
warnings.warn('Y residual constant at iteration %s' % k)
ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_overwrite_params(CCA) ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cross_decomposition/pls_.py:287: UserWarning: Y residual constant at iteration 1
warnings.warn('Y residual constant at iteration %s' % k)
ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimator_sparse_data(CCA) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_pickle(CCA) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressors_train(CCA) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressor_data_not_an_array(CCA) ... SKIP
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_partial_fit_n_features(CCA) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressors_no_decision_function(CCA) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_supervised_y_2d(CCA) ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cross_decomposition/pls_.py:287: UserWarning: Y residual constant at iteration 1
warnings.warn('Y residual constant at iteration %s' % k)
ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_supervised_y_no_nan(CCA) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_unfitted(CCA) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_non_transformer_estimators_n_iter(CCA) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformer_general(CCA) ... SKIP: CCA is non deterministic on 32bit Python
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformers_unfitted(CCA) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformer_n_iter(CCA) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_predict1d(CCA) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1sample(CCA) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1feature(CCA) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1feature(CCA) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1sample(CCA) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_get_params_invariance(CCA) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dict_unchanged(CCA) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dont_overwrite_parameters(CCA) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_no_fit_attributes_set_in_init(CalibratedClassifierCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_dtypes(CalibratedClassifierCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit_score_takes_y(CalibratedClassifierCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dtype_object(CalibratedClassifierCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_pandas_series(CalibratedClassifierCV) ... SKIP: pandas is not installed: not testing for input of type pandas.Series to class weight.
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_list(CalibratedClassifierCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_fit_returns_self(CalibratedClassifierCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_empty_data_messages(CalibratedClassifierCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_pipeline_consistency(CalibratedClassifierCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_nan_inf(CalibratedClassifierCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_overwrite_params(CalibratedClassifierCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimator_sparse_data(CalibratedClassifierCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_pickle(CalibratedClassifierCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_classifier_data_not_an_array(CalibratedClassifierCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_classifiers_one_label(CalibratedClassifierCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_classifiers_classes(CalibratedClassifierCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_partial_fit_n_features(CalibratedClassifierCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_classifiers_train(CalibratedClassifierCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_classifiers_regression_target(CalibratedClassifierCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_supervised_y_2d(CalibratedClassifierCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_unfitted(CalibratedClassifierCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_non_transformer_estimators_n_iter(CalibratedClassifierCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_decision_proba_consistency(CalibratedClassifierCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_predict1d(CalibratedClassifierCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1sample(CalibratedClassifierCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1feature(CalibratedClassifierCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1feature(CalibratedClassifierCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1sample(CalibratedClassifierCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_get_params_invariance(CalibratedClassifierCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dict_unchanged(CalibratedClassifierCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dont_overwrite_parameters(CalibratedClassifierCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_no_fit_attributes_set_in_init(DBSCAN) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_dtypes(DBSCAN) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit_score_takes_y(DBSCAN) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dtype_object(DBSCAN) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_pandas_series(DBSCAN) ... SKIP: pandas is not installed: not testing for input of type pandas.Series to class weight.
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_list(DBSCAN) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_fit_returns_self(DBSCAN) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_empty_data_messages(DBSCAN) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_pipeline_consistency(DBSCAN) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_nan_inf(DBSCAN) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_overwrite_params(DBSCAN) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimator_sparse_data(DBSCAN) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_pickle(DBSCAN) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_clusterer_compute_labels_predict(DBSCAN) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_clustering(DBSCAN) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_partial_fit_n_features(DBSCAN) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_non_transformer_estimators_n_iter(DBSCAN) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_predict1d(DBSCAN) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1sample(DBSCAN) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1feature(DBSCAN) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1feature(DBSCAN) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1sample(DBSCAN) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_get_params_invariance(DBSCAN) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dict_unchanged(DBSCAN) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dont_overwrite_parameters(DBSCAN) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/deprecation.py:58: DeprecationWarning: Class DPGMM is deprecated; The `DPGMM` class is not working correctly and it's better to use `sklearn.mixture.BayesianGaussianMixture` class with parameter `weight_concentration_prior_type='dirichlet_process'` instead. DPGMM is deprecated in 0.18 and will be removed in 0.20.
warnings.warn(msg, category=DeprecationWarning)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_no_fit_attributes_set_in_init(DPGMM) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_dtypes(DPGMM) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit_score_takes_y(DPGMM) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dtype_object(DPGMM) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_pandas_series(DPGMM) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_list(DPGMM) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_fit_returns_self(DPGMM) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_empty_data_messages(DPGMM) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_pipeline_consistency(DPGMM) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_nan_inf(DPGMM) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_overwrite_params(DPGMM) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimator_sparse_data(DPGMM) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_pickle(DPGMM) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_predict1d(DPGMM) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1sample(DPGMM) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1feature(DPGMM) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1feature(DPGMM) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1sample(DPGMM) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_get_params_invariance(DPGMM) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dict_unchanged(DPGMM) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dont_overwrite_parameters(DPGMM) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_no_fit_attributes_set_in_init(DecisionTreeClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_dtypes(DecisionTreeClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit_score_takes_y(DecisionTreeClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dtype_object(DecisionTreeClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_pandas_series(DecisionTreeClassifier) ... SKIP: pandas is not installed: not testing for input of type pandas.Series to class weight.
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_list(DecisionTreeClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_fit_returns_self(DecisionTreeClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_empty_data_messages(DecisionTreeClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_pipeline_consistency(DecisionTreeClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_nan_inf(DecisionTreeClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_overwrite_params(DecisionTreeClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimator_sparse_data(DecisionTreeClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_pickle(DecisionTreeClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_classifier_data_not_an_array(DecisionTreeClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_classifiers_one_label(DecisionTreeClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_classifiers_classes(DecisionTreeClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_partial_fit_n_features(DecisionTreeClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_classifiers_train(DecisionTreeClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_classifiers_regression_target(DecisionTreeClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_unfitted(DecisionTreeClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_class_weight_classifiers(DecisionTreeClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_non_transformer_estimators_n_iter(DecisionTreeClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_decision_proba_consistency(DecisionTreeClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_predict1d(DecisionTreeClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1sample(DecisionTreeClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1feature(DecisionTreeClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1feature(DecisionTreeClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1sample(DecisionTreeClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_get_params_invariance(DecisionTreeClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dict_unchanged(DecisionTreeClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dont_overwrite_parameters(DecisionTreeClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_no_fit_attributes_set_in_init(DecisionTreeRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_dtypes(DecisionTreeRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit_score_takes_y(DecisionTreeRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dtype_object(DecisionTreeRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_pandas_series(DecisionTreeRegressor) ... SKIP: pandas is not installed: not testing for input of type pandas.Series to class weight.
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_list(DecisionTreeRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_fit_returns_self(DecisionTreeRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_empty_data_messages(DecisionTreeRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_pipeline_consistency(DecisionTreeRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_nan_inf(DecisionTreeRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_overwrite_params(DecisionTreeRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimator_sparse_data(DecisionTreeRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_pickle(DecisionTreeRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressors_train(DecisionTreeRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressor_data_not_an_array(DecisionTreeRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_partial_fit_n_features(DecisionTreeRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressors_no_decision_function(DecisionTreeRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_supervised_y_2d(DecisionTreeRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_supervised_y_no_nan(DecisionTreeRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressors_int(DecisionTreeRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_unfitted(DecisionTreeRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_non_transformer_estimators_n_iter(DecisionTreeRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_predict1d(DecisionTreeRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1sample(DecisionTreeRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1feature(DecisionTreeRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1feature(DecisionTreeRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1sample(DecisionTreeRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_get_params_invariance(DecisionTreeRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dict_unchanged(DecisionTreeRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dont_overwrite_parameters(DecisionTreeRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_no_fit_attributes_set_in_init(DictionaryLearning) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_dtypes(DictionaryLearning) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit_score_takes_y(DictionaryLearning) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dtype_object(DictionaryLearning) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_pandas_series(DictionaryLearning) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_list(DictionaryLearning) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_fit_returns_self(DictionaryLearning) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_empty_data_messages(DictionaryLearning) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_pipeline_consistency(DictionaryLearning) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_nan_inf(DictionaryLearning) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_overwrite_params(DictionaryLearning) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimator_sparse_data(DictionaryLearning) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_pickle(DictionaryLearning) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformer_data_not_an_array(DictionaryLearning) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformer_general(DictionaryLearning) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformers_unfitted(DictionaryLearning) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformer_n_iter(DictionaryLearning) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_predict1d(DictionaryLearning) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1sample(DictionaryLearning) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1feature(DictionaryLearning) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1feature(DictionaryLearning) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1sample(DictionaryLearning) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_get_params_invariance(DictionaryLearning) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dict_unchanged(DictionaryLearning) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dont_overwrite_parameters(DictionaryLearning) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_no_fit_attributes_set_in_init(ElasticNet) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_dtypes(ElasticNet) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit_score_takes_y(ElasticNet) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dtype_object(ElasticNet) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_pandas_series(ElasticNet) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_list(ElasticNet) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_fit_returns_self(ElasticNet) ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/linear_model/coordinate_descent.py:491: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
ConvergenceWarning)
ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_empty_data_messages(ElasticNet) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_pipeline_consistency(ElasticNet) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_nan_inf(ElasticNet) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_overwrite_params(ElasticNet) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimator_sparse_data(ElasticNet) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_pickle(ElasticNet) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressors_train(ElasticNet) ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/linear_model/coordinate_descent.py:491: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
ConvergenceWarning)
ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressor_data_not_an_array(ElasticNet) ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/linear_model/coordinate_descent.py:491: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
ConvergenceWarning)
ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_partial_fit_n_features(ElasticNet) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressors_no_decision_function(ElasticNet) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_supervised_y_2d(ElasticNet) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_supervised_y_no_nan(ElasticNet) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressors_int(ElasticNet) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_unfitted(ElasticNet) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_non_transformer_estimators_n_iter(ElasticNet) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_predict1d(ElasticNet) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1sample(ElasticNet) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1feature(ElasticNet) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1feature(ElasticNet) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1sample(ElasticNet) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_get_params_invariance(ElasticNet) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dict_unchanged(ElasticNet) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dont_overwrite_parameters(ElasticNet) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_no_fit_attributes_set_in_init(ElasticNetCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_dtypes(ElasticNetCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit_score_takes_y(ElasticNetCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dtype_object(ElasticNetCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_pandas_series(ElasticNetCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_list(ElasticNetCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_fit_returns_self(ElasticNetCV) ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/linear_model/coordinate_descent.py:491: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
ConvergenceWarning)
ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_empty_data_messages(ElasticNetCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_pipeline_consistency(ElasticNetCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_nan_inf(ElasticNetCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_overwrite_params(ElasticNetCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimator_sparse_data(ElasticNetCV) ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/linear_model/coordinate_descent.py:491: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
ConvergenceWarning)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/linear_model/coordinate_descent.py:491: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
ConvergenceWarning)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/linear_model/coordinate_descent.py:491: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
ConvergenceWarning)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/linear_model/coordinate_descent.py:491: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
ConvergenceWarning)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/linear_model/coordinate_descent.py:491: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
ConvergenceWarning)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/linear_model/coordinate_descent.py:491: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
ConvergenceWarning)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/linear_model/coordinate_descent.py:491: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
ConvergenceWarning)
ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_pickle(ElasticNetCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressors_train(ElasticNetCV) ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/linear_model/coordinate_descent.py:491: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
ConvergenceWarning)
ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressor_data_not_an_array(ElasticNetCV) ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/linear_model/coordinate_descent.py:491: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
ConvergenceWarning)
ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_partial_fit_n_features(ElasticNetCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressors_no_decision_function(ElasticNetCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_supervised_y_2d(ElasticNetCV) ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/linear_model/coordinate_descent.py:491: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
ConvergenceWarning)
ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_supervised_y_no_nan(ElasticNetCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressors_int(ElasticNetCV) ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/linear_model/coordinate_descent.py:491: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
ConvergenceWarning)
ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_unfitted(ElasticNetCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_non_transformer_estimators_n_iter(ElasticNetCV) ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/linear_model/coordinate_descent.py:491: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
ConvergenceWarning)
ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_predict1d(ElasticNetCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1sample(ElasticNetCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1feature(ElasticNetCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1feature(ElasticNetCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1sample(ElasticNetCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_get_params_invariance(ElasticNetCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dict_unchanged(ElasticNetCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dont_overwrite_parameters(ElasticNetCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_no_fit_attributes_set_in_init(EmpiricalCovariance) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_dtypes(EmpiricalCovariance) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit_score_takes_y(EmpiricalCovariance) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dtype_object(EmpiricalCovariance) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_pandas_series(EmpiricalCovariance) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_list(EmpiricalCovariance) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_fit_returns_self(EmpiricalCovariance) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_empty_data_messages(EmpiricalCovariance) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_pipeline_consistency(EmpiricalCovariance) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_nan_inf(EmpiricalCovariance) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_overwrite_params(EmpiricalCovariance) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimator_sparse_data(EmpiricalCovariance) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_pickle(EmpiricalCovariance) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_predict1d(EmpiricalCovariance) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1sample(EmpiricalCovariance) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1feature(EmpiricalCovariance) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1feature(EmpiricalCovariance) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1sample(EmpiricalCovariance) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_get_params_invariance(EmpiricalCovariance) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dict_unchanged(EmpiricalCovariance) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dont_overwrite_parameters(EmpiricalCovariance) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_no_fit_attributes_set_in_init(ExtraTreeClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_dtypes(ExtraTreeClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit_score_takes_y(ExtraTreeClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dtype_object(ExtraTreeClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_pandas_series(ExtraTreeClassifier) ... SKIP: pandas is not installed: not testing for input of type pandas.Series to class weight.
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_list(ExtraTreeClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_fit_returns_self(ExtraTreeClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_empty_data_messages(ExtraTreeClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_pipeline_consistency(ExtraTreeClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_nan_inf(ExtraTreeClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_overwrite_params(ExtraTreeClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimator_sparse_data(ExtraTreeClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_pickle(ExtraTreeClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_classifier_data_not_an_array(ExtraTreeClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_classifiers_one_label(ExtraTreeClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_classifiers_classes(ExtraTreeClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_partial_fit_n_features(ExtraTreeClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_classifiers_train(ExtraTreeClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_classifiers_regression_target(ExtraTreeClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_unfitted(ExtraTreeClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_class_weight_classifiers(ExtraTreeClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_non_transformer_estimators_n_iter(ExtraTreeClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_decision_proba_consistency(ExtraTreeClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_predict1d(ExtraTreeClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1sample(ExtraTreeClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1feature(ExtraTreeClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1feature(ExtraTreeClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1sample(ExtraTreeClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_get_params_invariance(ExtraTreeClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dict_unchanged(ExtraTreeClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dont_overwrite_parameters(ExtraTreeClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_no_fit_attributes_set_in_init(ExtraTreeRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_dtypes(ExtraTreeRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit_score_takes_y(ExtraTreeRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dtype_object(ExtraTreeRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_pandas_series(ExtraTreeRegressor) ... SKIP: pandas is not installed: not testing for input of type pandas.Series to class weight.
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_list(ExtraTreeRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_fit_returns_self(ExtraTreeRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_empty_data_messages(ExtraTreeRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_pipeline_consistency(ExtraTreeRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_nan_inf(ExtraTreeRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_overwrite_params(ExtraTreeRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimator_sparse_data(ExtraTreeRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_pickle(ExtraTreeRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressors_train(ExtraTreeRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressor_data_not_an_array(ExtraTreeRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_partial_fit_n_features(ExtraTreeRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressors_no_decision_function(ExtraTreeRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_supervised_y_2d(ExtraTreeRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_supervised_y_no_nan(ExtraTreeRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressors_int(ExtraTreeRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_unfitted(ExtraTreeRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_non_transformer_estimators_n_iter(ExtraTreeRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_predict1d(ExtraTreeRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1sample(ExtraTreeRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1feature(ExtraTreeRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1feature(ExtraTreeRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1sample(ExtraTreeRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_get_params_invariance(ExtraTreeRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dict_unchanged(ExtraTreeRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dont_overwrite_parameters(ExtraTreeRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_no_fit_attributes_set_in_init(ExtraTreesClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_dtypes(ExtraTreesClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit_score_takes_y(ExtraTreesClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dtype_object(ExtraTreesClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_pandas_series(ExtraTreesClassifier) ... SKIP: pandas is not installed: not testing for input of type pandas.Series to class weight.
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_list(ExtraTreesClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_fit_returns_self(ExtraTreesClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_empty_data_messages(ExtraTreesClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_pipeline_consistency(ExtraTreesClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_nan_inf(ExtraTreesClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_overwrite_params(ExtraTreesClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimator_sparse_data(ExtraTreesClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_pickle(ExtraTreesClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_classifier_data_not_an_array(ExtraTreesClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_classifiers_one_label(ExtraTreesClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_classifiers_classes(ExtraTreesClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_partial_fit_n_features(ExtraTreesClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_classifiers_train(ExtraTreesClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_classifiers_regression_target(ExtraTreesClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_supervised_y_2d(ExtraTreesClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_unfitted(ExtraTreesClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_class_weight_classifiers(ExtraTreesClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_non_transformer_estimators_n_iter(ExtraTreesClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_decision_proba_consistency(ExtraTreesClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_predict1d(ExtraTreesClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1sample(ExtraTreesClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1feature(ExtraTreesClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1feature(ExtraTreesClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1sample(ExtraTreesClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_get_params_invariance(ExtraTreesClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dict_unchanged(ExtraTreesClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dont_overwrite_parameters(ExtraTreesClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_no_fit_attributes_set_in_init(ExtraTreesRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_dtypes(ExtraTreesRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit_score_takes_y(ExtraTreesRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dtype_object(ExtraTreesRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_pandas_series(ExtraTreesRegressor) ... SKIP: pandas is not installed: not testing for input of type pandas.Series to class weight.
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_list(ExtraTreesRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_fit_returns_self(ExtraTreesRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_empty_data_messages(ExtraTreesRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_pipeline_consistency(ExtraTreesRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_nan_inf(ExtraTreesRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_overwrite_params(ExtraTreesRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimator_sparse_data(ExtraTreesRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_pickle(ExtraTreesRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressors_train(ExtraTreesRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressor_data_not_an_array(ExtraTreesRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_partial_fit_n_features(ExtraTreesRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressors_no_decision_function(ExtraTreesRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_supervised_y_2d(ExtraTreesRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_supervised_y_no_nan(ExtraTreesRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressors_int(ExtraTreesRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_unfitted(ExtraTreesRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_non_transformer_estimators_n_iter(ExtraTreesRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_predict1d(ExtraTreesRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1sample(ExtraTreesRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1feature(ExtraTreesRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1feature(ExtraTreesRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1sample(ExtraTreesRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_get_params_invariance(ExtraTreesRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dict_unchanged(ExtraTreesRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dont_overwrite_parameters(ExtraTreesRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_no_fit_attributes_set_in_init(FactorAnalysis) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_dtypes(FactorAnalysis) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit_score_takes_y(FactorAnalysis) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dtype_object(FactorAnalysis) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_pandas_series(FactorAnalysis) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_list(FactorAnalysis) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_fit_returns_self(FactorAnalysis) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_empty_data_messages(FactorAnalysis) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_pipeline_consistency(FactorAnalysis) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_nan_inf(FactorAnalysis) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_overwrite_params(FactorAnalysis) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimator_sparse_data(FactorAnalysis) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_pickle(FactorAnalysis) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformer_data_not_an_array(FactorAnalysis) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformer_general(FactorAnalysis) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformers_unfitted(FactorAnalysis) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformer_n_iter(FactorAnalysis) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_predict1d(FactorAnalysis) ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/decomposition/factor_analysis.py:228: ConvergenceWarning: FactorAnalysis did not converge. You might want to increase the number of iterations.
ConvergenceWarning)
ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1sample(FactorAnalysis) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1feature(FactorAnalysis) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1feature(FactorAnalysis) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1sample(FactorAnalysis) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_get_params_invariance(FactorAnalysis) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dict_unchanged(FactorAnalysis) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dont_overwrite_parameters(FactorAnalysis) ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/decomposition/factor_analysis.py:228: ConvergenceWarning: FactorAnalysis did not converge. You might want to increase the number of iterations.
ConvergenceWarning)
ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_no_fit_attributes_set_in_init(FastICA) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_dtypes(FastICA) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit_score_takes_y(FastICA) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dtype_object(FastICA) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_pandas_series(FastICA) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_list(FastICA) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_fit_returns_self(FastICA) ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/decomposition/fastica_.py:118: UserWarning: FastICA did not converge. Consider increasing tolerance or the maximum number of iterations.
warnings.warn('FastICA did not converge. Consider increasing '
ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_empty_data_messages(FastICA) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_pipeline_consistency(FastICA) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_nan_inf(FastICA) ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/decomposition/fastica_.py:118: UserWarning: FastICA did not converge. Consider increasing tolerance or the maximum number of iterations.
warnings.warn('FastICA did not converge. Consider increasing '
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/decomposition/fastica_.py:118: UserWarning: FastICA did not converge. Consider increasing tolerance or the maximum number of iterations.
warnings.warn('FastICA did not converge. Consider increasing '
ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_overwrite_params(FastICA) ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/decomposition/fastica_.py:118: UserWarning: FastICA did not converge. Consider increasing tolerance or the maximum number of iterations.
warnings.warn('FastICA did not converge. Consider increasing '
ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimator_sparse_data(FastICA) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_pickle(FastICA) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformer_data_not_an_array(FastICA) ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/decomposition/fastica_.py:118: UserWarning: FastICA did not converge. Consider increasing tolerance or the maximum number of iterations.
warnings.warn('FastICA did not converge. Consider increasing '
ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformer_general(FastICA) ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/decomposition/fastica_.py:118: UserWarning: FastICA did not converge. Consider increasing tolerance or the maximum number of iterations.
warnings.warn('FastICA did not converge. Consider increasing '
ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformers_unfitted(FastICA) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformer_n_iter(FastICA) ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/decomposition/fastica_.py:118: UserWarning: FastICA did not converge. Consider increasing tolerance or the maximum number of iterations.
warnings.warn('FastICA did not converge. Consider increasing '
ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_predict1d(FastICA) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1sample(FastICA) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1feature(FastICA) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1feature(FastICA) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1sample(FastICA) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_get_params_invariance(FastICA) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dict_unchanged(FastICA) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dont_overwrite_parameters(FastICA) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_no_fit_attributes_set_in_init(FeatureAgglomeration) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_dtypes(FeatureAgglomeration) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit_score_takes_y(FeatureAgglomeration) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dtype_object(FeatureAgglomeration) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_pandas_series(FeatureAgglomeration) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_list(FeatureAgglomeration) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_fit_returns_self(FeatureAgglomeration) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_empty_data_messages(FeatureAgglomeration) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_pipeline_consistency(FeatureAgglomeration) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_nan_inf(FeatureAgglomeration) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_overwrite_params(FeatureAgglomeration) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimator_sparse_data(FeatureAgglomeration) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_pickle(FeatureAgglomeration) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformer_data_not_an_array(FeatureAgglomeration) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformer_general(FeatureAgglomeration) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformers_unfitted(FeatureAgglomeration) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformer_n_iter(FeatureAgglomeration) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_clusterer_compute_labels_predict(FeatureAgglomeration) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_non_transformer_estimators_n_iter(FeatureAgglomeration) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_predict1d(FeatureAgglomeration) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1sample(FeatureAgglomeration) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1feature(FeatureAgglomeration) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1feature(FeatureAgglomeration) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1sample(FeatureAgglomeration) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_get_params_invariance(FeatureAgglomeration) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dict_unchanged(FeatureAgglomeration) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dont_overwrite_parameters(FeatureAgglomeration) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_no_fit_attributes_set_in_init(FunctionTransformer) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_dtypes(FunctionTransformer) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit_score_takes_y(FunctionTransformer) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dtype_object(FunctionTransformer) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_pandas_series(FunctionTransformer) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_list(FunctionTransformer) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_fit_returns_self(FunctionTransformer) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_empty_data_messages(FunctionTransformer) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_pipeline_consistency(FunctionTransformer) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_nan_inf(FunctionTransformer) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_overwrite_params(FunctionTransformer) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimator_sparse_data(FunctionTransformer) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_pickle(FunctionTransformer) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformer_data_not_an_array(FunctionTransformer) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformer_n_iter(FunctionTransformer) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_predict1d(FunctionTransformer) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1sample(FunctionTransformer) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1feature(FunctionTransformer) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1feature(FunctionTransformer) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1sample(FunctionTransformer) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_get_params_invariance(FunctionTransformer) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dict_unchanged(FunctionTransformer) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dont_overwrite_parameters(FunctionTransformer) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/deprecation.py:58: DeprecationWarning: Class GMM is deprecated; The class GMM is deprecated in 0.18 and will be removed in 0.20. Use class GaussianMixture instead.
warnings.warn(msg, category=DeprecationWarning)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_no_fit_attributes_set_in_init(GMM) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_dtypes(GMM) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit_score_takes_y(GMM) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dtype_object(GMM) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_pandas_series(GMM) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_list(GMM) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_fit_returns_self(GMM) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_empty_data_messages(GMM) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_pipeline_consistency(GMM) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_nan_inf(GMM) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_overwrite_params(GMM) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimator_sparse_data(GMM) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_pickle(GMM) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_predict1d(GMM) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1sample(GMM) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1feature(GMM) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1feature(GMM) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1sample(GMM) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_get_params_invariance(GMM) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dict_unchanged(GMM) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dont_overwrite_parameters(GMM) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_no_fit_attributes_set_in_init(GaussianMixture) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_dtypes(GaussianMixture) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit_score_takes_y(GaussianMixture) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dtype_object(GaussianMixture) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_pandas_series(GaussianMixture) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_list(GaussianMixture) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_fit_returns_self(GaussianMixture) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_empty_data_messages(GaussianMixture) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_pipeline_consistency(GaussianMixture) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_nan_inf(GaussianMixture) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_overwrite_params(GaussianMixture) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimator_sparse_data(GaussianMixture) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_pickle(GaussianMixture) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_predict1d(GaussianMixture) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1sample(GaussianMixture) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1feature(GaussianMixture) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1feature(GaussianMixture) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1sample(GaussianMixture) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_get_params_invariance(GaussianMixture) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dict_unchanged(GaussianMixture) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dont_overwrite_parameters(GaussianMixture) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_no_fit_attributes_set_in_init(GaussianNB) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_dtypes(GaussianNB) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit_score_takes_y(GaussianNB) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dtype_object(GaussianNB) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_pandas_series(GaussianNB) ... SKIP: pandas is not installed: not testing for input of type pandas.Series to class weight.
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_list(GaussianNB) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_fit_returns_self(GaussianNB) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_empty_data_messages(GaussianNB) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_pipeline_consistency(GaussianNB) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_nan_inf(GaussianNB) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_overwrite_params(GaussianNB) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimator_sparse_data(GaussianNB) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_pickle(GaussianNB) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_classifier_data_not_an_array(GaussianNB) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_classifiers_one_label(GaussianNB) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_classifiers_classes(GaussianNB) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_partial_fit_n_features(GaussianNB) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_classifiers_train(GaussianNB) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_classifiers_regression_target(GaussianNB) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_supervised_y_2d(GaussianNB) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_unfitted(GaussianNB) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_non_transformer_estimators_n_iter(GaussianNB) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_decision_proba_consistency(GaussianNB) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_predict1d(GaussianNB) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1sample(GaussianNB) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1feature(GaussianNB) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1feature(GaussianNB) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1sample(GaussianNB) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_get_params_invariance(GaussianNB) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dict_unchanged(GaussianNB) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dont_overwrite_parameters(GaussianNB) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/deprecation.py:58: DeprecationWarning: Class GaussianProcess is deprecated; GaussianProcess was deprecated in version 0.18 and will be removed in 0.20. Use the GaussianProcessRegressor instead.
warnings.warn(msg, category=DeprecationWarning)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_no_fit_attributes_set_in_init(GaussianProcess) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_dtypes(GaussianProcess) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit_score_takes_y(GaussianProcess) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dtype_object(GaussianProcess) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_pandas_series(GaussianProcess) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_list(GaussianProcess) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_fit_returns_self(GaussianProcess) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_empty_data_messages(GaussianProcess) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_pipeline_consistency(GaussianProcess) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_nan_inf(GaussianProcess) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimator_sparse_data(GaussianProcess) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_pickle(GaussianProcess) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressors_train(GaussianProcess) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressor_data_not_an_array(GaussianProcess) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_partial_fit_n_features(GaussianProcess) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressors_no_decision_function(GaussianProcess) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_supervised_y_2d(GaussianProcess) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_supervised_y_no_nan(GaussianProcess) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressors_int(GaussianProcess) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_unfitted(GaussianProcess) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_non_transformer_estimators_n_iter(GaussianProcess) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_predict1d(GaussianProcess) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1sample(GaussianProcess) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1feature(GaussianProcess) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1feature(GaussianProcess) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1sample(GaussianProcess) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_get_params_invariance(GaussianProcess) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dict_unchanged(GaussianProcess) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dont_overwrite_parameters(GaussianProcess) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_no_fit_attributes_set_in_init(GaussianProcessClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_dtypes(GaussianProcessClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit_score_takes_y(GaussianProcessClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dtype_object(GaussianProcessClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_pandas_series(GaussianProcessClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_list(GaussianProcessClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_fit_returns_self(GaussianProcessClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_empty_data_messages(GaussianProcessClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_pipeline_consistency(GaussianProcessClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_nan_inf(GaussianProcessClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_overwrite_params(GaussianProcessClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimator_sparse_data(GaussianProcessClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_pickle(GaussianProcessClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_classifier_data_not_an_array(GaussianProcessClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_classifiers_one_label(GaussianProcessClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_classifiers_classes(GaussianProcessClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_partial_fit_n_features(GaussianProcessClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_classifiers_train(GaussianProcessClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_classifiers_regression_target(GaussianProcessClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_supervised_y_2d(GaussianProcessClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_unfitted(GaussianProcessClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_non_transformer_estimators_n_iter(GaussianProcessClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_decision_proba_consistency(GaussianProcessClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_predict1d(GaussianProcessClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1sample(GaussianProcessClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1feature(GaussianProcessClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1feature(GaussianProcessClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1sample(GaussianProcessClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_get_params_invariance(GaussianProcessClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dict_unchanged(GaussianProcessClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dont_overwrite_parameters(GaussianProcessClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_no_fit_attributes_set_in_init(GaussianProcessRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_dtypes(GaussianProcessRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit_score_takes_y(GaussianProcessRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dtype_object(GaussianProcessRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_pandas_series(GaussianProcessRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_list(GaussianProcessRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_fit_returns_self(GaussianProcessRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_empty_data_messages(GaussianProcessRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_pipeline_consistency(GaussianProcessRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_nan_inf(GaussianProcessRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_overwrite_params(GaussianProcessRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimator_sparse_data(GaussianProcessRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_pickle(GaussianProcessRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressors_train(GaussianProcessRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressor_data_not_an_array(GaussianProcessRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_partial_fit_n_features(GaussianProcessRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressors_no_decision_function(GaussianProcessRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_supervised_y_2d(GaussianProcessRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_supervised_y_no_nan(GaussianProcessRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressors_int(GaussianProcessRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_non_transformer_estimators_n_iter(GaussianProcessRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_predict1d(GaussianProcessRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1sample(GaussianProcessRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1feature(GaussianProcessRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1feature(GaussianProcessRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1sample(GaussianProcessRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_get_params_invariance(GaussianProcessRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dict_unchanged(GaussianProcessRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dont_overwrite_parameters(GaussianProcessRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_no_fit_attributes_set_in_init(GaussianRandomProjection) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_dtypes(GaussianRandomProjection) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit_score_takes_y(GaussianRandomProjection) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dtype_object(GaussianRandomProjection) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_pandas_series(GaussianRandomProjection) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_list(GaussianRandomProjection) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_fit_returns_self(GaussianRandomProjection) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_empty_data_messages(GaussianRandomProjection) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_pipeline_consistency(GaussianRandomProjection) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_nan_inf(GaussianRandomProjection) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_overwrite_params(GaussianRandomProjection) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimator_sparse_data(GaussianRandomProjection) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_pickle(GaussianRandomProjection) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformer_data_not_an_array(GaussianRandomProjection) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformer_general(GaussianRandomProjection) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformers_unfitted(GaussianRandomProjection) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformer_n_iter(GaussianRandomProjection) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_predict1d(GaussianRandomProjection) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1sample(GaussianRandomProjection) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1feature(GaussianRandomProjection) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1feature(GaussianRandomProjection) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1sample(GaussianRandomProjection) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_get_params_invariance(GaussianRandomProjection) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dict_unchanged(GaussianRandomProjection) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dont_overwrite_parameters(GaussianRandomProjection) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_no_fit_attributes_set_in_init(GenericUnivariateSelect) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_dtypes(GenericUnivariateSelect) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit_score_takes_y(GenericUnivariateSelect) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dtype_object(GenericUnivariateSelect) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_pandas_series(GenericUnivariateSelect) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_list(GenericUnivariateSelect) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_fit_returns_self(GenericUnivariateSelect) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_empty_data_messages(GenericUnivariateSelect) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_pipeline_consistency(GenericUnivariateSelect) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_nan_inf(GenericUnivariateSelect) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_overwrite_params(GenericUnivariateSelect) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimator_sparse_data(GenericUnivariateSelect) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_pickle(GenericUnivariateSelect) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformer_data_not_an_array(GenericUnivariateSelect) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformer_general(GenericUnivariateSelect) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformers_unfitted(GenericUnivariateSelect) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformer_n_iter(GenericUnivariateSelect) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_predict1d(GenericUnivariateSelect) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1sample(GenericUnivariateSelect) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1feature(GenericUnivariateSelect) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1feature(GenericUnivariateSelect) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1sample(GenericUnivariateSelect) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_get_params_invariance(GenericUnivariateSelect) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dict_unchanged(GenericUnivariateSelect) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dont_overwrite_parameters(GenericUnivariateSelect) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_no_fit_attributes_set_in_init(GradientBoostingClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_dtypes(GradientBoostingClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit_score_takes_y(GradientBoostingClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dtype_object(GradientBoostingClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_pandas_series(GradientBoostingClassifier) ... SKIP: pandas is not installed: not testing for input of type pandas.Series to class weight.
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_list(GradientBoostingClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_fit_returns_self(GradientBoostingClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_empty_data_messages(GradientBoostingClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_pipeline_consistency(GradientBoostingClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_nan_inf(GradientBoostingClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_overwrite_params(GradientBoostingClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimator_sparse_data(GradientBoostingClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_pickle(GradientBoostingClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_classifier_data_not_an_array(GradientBoostingClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_classifiers_one_label(GradientBoostingClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_classifiers_classes(GradientBoostingClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_partial_fit_n_features(GradientBoostingClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_classifiers_train(GradientBoostingClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_classifiers_regression_target(GradientBoostingClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_supervised_y_2d(GradientBoostingClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_unfitted(GradientBoostingClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_non_transformer_estimators_n_iter(GradientBoostingClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_decision_proba_consistency(GradientBoostingClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_predict1d(GradientBoostingClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1sample(GradientBoostingClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1feature(GradientBoostingClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1feature(GradientBoostingClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1sample(GradientBoostingClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_get_params_invariance(GradientBoostingClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dict_unchanged(GradientBoostingClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dont_overwrite_parameters(GradientBoostingClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_no_fit_attributes_set_in_init(GradientBoostingRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_dtypes(GradientBoostingRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit_score_takes_y(GradientBoostingRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dtype_object(GradientBoostingRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_pandas_series(GradientBoostingRegressor) ... SKIP: pandas is not installed: not testing for input of type pandas.Series to class weight.
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_list(GradientBoostingRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_fit_returns_self(GradientBoostingRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_empty_data_messages(GradientBoostingRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_pipeline_consistency(GradientBoostingRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_nan_inf(GradientBoostingRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_overwrite_params(GradientBoostingRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimator_sparse_data(GradientBoostingRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_pickle(GradientBoostingRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressors_train(GradientBoostingRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressor_data_not_an_array(GradientBoostingRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_partial_fit_n_features(GradientBoostingRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressors_no_decision_function(GradientBoostingRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_supervised_y_2d(GradientBoostingRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_supervised_y_no_nan(GradientBoostingRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressors_int(GradientBoostingRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_unfitted(GradientBoostingRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_non_transformer_estimators_n_iter(GradientBoostingRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_predict1d(GradientBoostingRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1sample(GradientBoostingRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1feature(GradientBoostingRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1feature(GradientBoostingRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1sample(GradientBoostingRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_get_params_invariance(GradientBoostingRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dict_unchanged(GradientBoostingRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dont_overwrite_parameters(GradientBoostingRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_no_fit_attributes_set_in_init(GraphLasso) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_dtypes(GraphLasso) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit_score_takes_y(GraphLasso) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dtype_object(GraphLasso) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_pandas_series(GraphLasso) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_list(GraphLasso) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_fit_returns_self(GraphLasso) ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/covariance/graph_lasso_.py:252: ConvergenceWarning: graph_lasso: did not converge after 5 iteration: dual gap: 2.346e+00
ConvergenceWarning)
ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_empty_data_messages(GraphLasso) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_pipeline_consistency(GraphLasso) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_nan_inf(GraphLasso) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_overwrite_params(GraphLasso) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimator_sparse_data(GraphLasso) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_pickle(GraphLasso) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_predict1d(GraphLasso) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1sample(GraphLasso) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1feature(GraphLasso) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1feature(GraphLasso) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1sample(GraphLasso) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_get_params_invariance(GraphLasso) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dict_unchanged(GraphLasso) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dont_overwrite_parameters(GraphLasso) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_no_fit_attributes_set_in_init(GraphLassoCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_dtypes(GraphLassoCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit_score_takes_y(GraphLassoCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dtype_object(GraphLassoCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_pandas_series(GraphLassoCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_list(GraphLassoCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_fit_returns_self(GraphLassoCV) ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/covariance/graph_lasso_.py:252: ConvergenceWarning: graph_lasso: did not converge after 5 iteration: dual gap: -5.139e-04
ConvergenceWarning)
ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_empty_data_messages(GraphLassoCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_pipeline_consistency(GraphLassoCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_nan_inf(GraphLassoCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_overwrite_params(GraphLassoCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimator_sparse_data(GraphLassoCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_pickle(GraphLassoCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_predict1d(GraphLassoCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1sample(GraphLassoCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1feature(GraphLassoCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1feature(GraphLassoCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1sample(GraphLassoCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_get_params_invariance(GraphLassoCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dict_unchanged(GraphLassoCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dont_overwrite_parameters(GraphLassoCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_no_fit_attributes_set_in_init(HuberRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_dtypes(HuberRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit_score_takes_y(HuberRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dtype_object(HuberRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_pandas_series(HuberRegressor) ... SKIP: pandas is not installed: not testing for input of type pandas.Series to class weight.
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_list(HuberRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_fit_returns_self(HuberRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_empty_data_messages(HuberRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_pipeline_consistency(HuberRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_nan_inf(HuberRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_overwrite_params(HuberRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimator_sparse_data(HuberRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_pickle(HuberRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressors_train(HuberRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressor_data_not_an_array(HuberRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_partial_fit_n_features(HuberRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressors_no_decision_function(HuberRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_supervised_y_2d(HuberRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_supervised_y_no_nan(HuberRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressors_int(HuberRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_unfitted(HuberRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_non_transformer_estimators_n_iter(HuberRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_predict1d(HuberRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1sample(HuberRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1feature(HuberRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1feature(HuberRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1sample(HuberRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_get_params_invariance(HuberRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dict_unchanged(HuberRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dont_overwrite_parameters(HuberRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_no_fit_attributes_set_in_init(Imputer) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_dtypes(Imputer) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit_score_takes_y(Imputer) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dtype_object(Imputer) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_pandas_series(Imputer) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_list(Imputer) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_fit_returns_self(Imputer) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_empty_data_messages(Imputer) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_pipeline_consistency(Imputer) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_overwrite_params(Imputer) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimator_sparse_data(Imputer) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_pickle(Imputer) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformer_data_not_an_array(Imputer) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformer_general(Imputer) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformers_unfitted(Imputer) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformer_n_iter(Imputer) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_predict1d(Imputer) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1sample(Imputer) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1feature(Imputer) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1feature(Imputer) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1sample(Imputer) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_get_params_invariance(Imputer) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dict_unchanged(Imputer) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dont_overwrite_parameters(Imputer) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_no_fit_attributes_set_in_init(IncrementalPCA) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_dtypes(IncrementalPCA) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit_score_takes_y(IncrementalPCA) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dtype_object(IncrementalPCA) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_pandas_series(IncrementalPCA) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_list(IncrementalPCA) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_fit_returns_self(IncrementalPCA) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_empty_data_messages(IncrementalPCA) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_pipeline_consistency(IncrementalPCA) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_nan_inf(IncrementalPCA) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_overwrite_params(IncrementalPCA) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimator_sparse_data(IncrementalPCA) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_pickle(IncrementalPCA) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformer_data_not_an_array(IncrementalPCA) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformer_general(IncrementalPCA) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformers_unfitted(IncrementalPCA) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformer_n_iter(IncrementalPCA) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_predict1d(IncrementalPCA) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1sample(IncrementalPCA) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1feature(IncrementalPCA) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1feature(IncrementalPCA) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1sample(IncrementalPCA) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_get_params_invariance(IncrementalPCA) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dict_unchanged(IncrementalPCA) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dont_overwrite_parameters(IncrementalPCA) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_no_fit_attributes_set_in_init(IsolationForest) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_dtypes(IsolationForest) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit_score_takes_y(IsolationForest) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dtype_object(IsolationForest) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_pandas_series(IsolationForest) ... SKIP: pandas is not installed: not testing for input of type pandas.Series to class weight.
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_list(IsolationForest) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_fit_returns_self(IsolationForest) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_empty_data_messages(IsolationForest) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_pipeline_consistency(IsolationForest) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_nan_inf(IsolationForest) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_overwrite_params(IsolationForest) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimator_sparse_data(IsolationForest) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_pickle(IsolationForest) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_predict1d(IsolationForest) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1sample(IsolationForest) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1feature(IsolationForest) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1feature(IsolationForest) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1sample(IsolationForest) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_get_params_invariance(IsolationForest) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dict_unchanged(IsolationForest) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dont_overwrite_parameters(IsolationForest) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_no_fit_attributes_set_in_init(Isomap) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_dtypes(Isomap) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit_score_takes_y(Isomap) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dtype_object(Isomap) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_pandas_series(Isomap) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_list(Isomap) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_fit_returns_self(Isomap) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_empty_data_messages(Isomap) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_pipeline_consistency(Isomap) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_nan_inf(Isomap) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_overwrite_params(Isomap) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimator_sparse_data(Isomap) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_pickle(Isomap) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformer_data_not_an_array(Isomap) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformer_general(Isomap) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformers_unfitted(Isomap) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_predict1d(Isomap) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1sample(Isomap) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1feature(Isomap) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1feature(Isomap) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1sample(Isomap) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_get_params_invariance(Isomap) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dict_unchanged(Isomap) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dont_overwrite_parameters(Isomap) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_no_fit_attributes_set_in_init(KMeans) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_dtypes(KMeans) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit_score_takes_y(KMeans) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dtype_object(KMeans) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_pandas_series(KMeans) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_list(KMeans) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_fit_returns_self(KMeans) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_empty_data_messages(KMeans) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_pipeline_consistency(KMeans) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_nan_inf(KMeans) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_overwrite_params(KMeans) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimator_sparse_data(KMeans) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_pickle(KMeans) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformer_data_not_an_array(KMeans) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformer_general(KMeans) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformers_unfitted(KMeans) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformer_n_iter(KMeans) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_clusterer_compute_labels_predict(KMeans) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_clustering(KMeans) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_partial_fit_n_features(KMeans) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_non_transformer_estimators_n_iter(KMeans) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_predict1d(KMeans) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1sample(KMeans) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1feature(KMeans) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1feature(KMeans) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1sample(KMeans) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_get_params_invariance(KMeans) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dict_unchanged(KMeans) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dont_overwrite_parameters(KMeans) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_no_fit_attributes_set_in_init(KNeighborsClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_dtypes(KNeighborsClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit_score_takes_y(KNeighborsClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dtype_object(KNeighborsClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_pandas_series(KNeighborsClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_list(KNeighborsClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_fit_returns_self(KNeighborsClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_empty_data_messages(KNeighborsClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_pipeline_consistency(KNeighborsClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_nan_inf(KNeighborsClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_overwrite_params(KNeighborsClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimator_sparse_data(KNeighborsClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_pickle(KNeighborsClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_classifier_data_not_an_array(KNeighborsClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_classifiers_one_label(KNeighborsClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_classifiers_classes(KNeighborsClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_partial_fit_n_features(KNeighborsClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_classifiers_train(KNeighborsClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_classifiers_regression_target(KNeighborsClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_supervised_y_2d(KNeighborsClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_unfitted(KNeighborsClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_non_transformer_estimators_n_iter(KNeighborsClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_decision_proba_consistency(KNeighborsClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_predict1d(KNeighborsClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1sample(KNeighborsClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1feature(KNeighborsClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1feature(KNeighborsClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1sample(KNeighborsClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_get_params_invariance(KNeighborsClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dict_unchanged(KNeighborsClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dont_overwrite_parameters(KNeighborsClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_no_fit_attributes_set_in_init(KNeighborsRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_dtypes(KNeighborsRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit_score_takes_y(KNeighborsRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dtype_object(KNeighborsRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_pandas_series(KNeighborsRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_list(KNeighborsRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_fit_returns_self(KNeighborsRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_empty_data_messages(KNeighborsRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_pipeline_consistency(KNeighborsRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_nan_inf(KNeighborsRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_overwrite_params(KNeighborsRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimator_sparse_data(KNeighborsRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_pickle(KNeighborsRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressors_train(KNeighborsRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressor_data_not_an_array(KNeighborsRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_partial_fit_n_features(KNeighborsRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressors_no_decision_function(KNeighborsRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_supervised_y_2d(KNeighborsRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_supervised_y_no_nan(KNeighborsRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressors_int(KNeighborsRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_unfitted(KNeighborsRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_non_transformer_estimators_n_iter(KNeighborsRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_predict1d(KNeighborsRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1sample(KNeighborsRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1feature(KNeighborsRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1feature(KNeighborsRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1sample(KNeighborsRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_get_params_invariance(KNeighborsRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dict_unchanged(KNeighborsRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dont_overwrite_parameters(KNeighborsRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_no_fit_attributes_set_in_init(KernelCenterer) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_dtypes(KernelCenterer) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit_score_takes_y(KernelCenterer) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dtype_object(KernelCenterer) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_pandas_series(KernelCenterer) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_list(KernelCenterer) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_fit_returns_self(KernelCenterer) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_empty_data_messages(KernelCenterer) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_pipeline_consistency(KernelCenterer) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_nan_inf(KernelCenterer) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_overwrite_params(KernelCenterer) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimator_sparse_data(KernelCenterer) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_pickle(KernelCenterer) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformer_data_not_an_array(KernelCenterer) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformer_general(KernelCenterer) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformers_unfitted(KernelCenterer) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformer_n_iter(KernelCenterer) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_predict1d(KernelCenterer) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1sample(KernelCenterer) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1feature(KernelCenterer) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1feature(KernelCenterer) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1sample(KernelCenterer) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_get_params_invariance(KernelCenterer) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dict_unchanged(KernelCenterer) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dont_overwrite_parameters(KernelCenterer) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_no_fit_attributes_set_in_init(KernelDensity) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_dtypes(KernelDensity) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit_score_takes_y(KernelDensity) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dtype_object(KernelDensity) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_pandas_series(KernelDensity) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_list(KernelDensity) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_fit_returns_self(KernelDensity) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_empty_data_messages(KernelDensity) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_pipeline_consistency(KernelDensity) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_nan_inf(KernelDensity) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_overwrite_params(KernelDensity) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimator_sparse_data(KernelDensity) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_pickle(KernelDensity) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_predict1d(KernelDensity) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1sample(KernelDensity) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1feature(KernelDensity) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1feature(KernelDensity) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1sample(KernelDensity) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_get_params_invariance(KernelDensity) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dict_unchanged(KernelDensity) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dont_overwrite_parameters(KernelDensity) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_no_fit_attributes_set_in_init(KernelPCA) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_dtypes(KernelPCA) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit_score_takes_y(KernelPCA) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dtype_object(KernelPCA) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_pandas_series(KernelPCA) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_list(KernelPCA) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_fit_returns_self(KernelPCA) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_empty_data_messages(KernelPCA) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_pipeline_consistency(KernelPCA) ... SKIP: KernelPCA is non deterministic on 32bit Python
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_nan_inf(KernelPCA) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_overwrite_params(KernelPCA) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimator_sparse_data(KernelPCA) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_pickle(KernelPCA) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformer_data_not_an_array(KernelPCA) ... SKIP: KernelPCA is non deterministic on 32bit Python
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformer_general(KernelPCA) ... SKIP: KernelPCA is non deterministic on 32bit Python
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformers_unfitted(KernelPCA) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_predict1d(KernelPCA) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1sample(KernelPCA) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1feature(KernelPCA) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1feature(KernelPCA) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1sample(KernelPCA) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_get_params_invariance(KernelPCA) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dict_unchanged(KernelPCA) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dont_overwrite_parameters(KernelPCA) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_no_fit_attributes_set_in_init(KernelRidge) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_dtypes(KernelRidge) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit_score_takes_y(KernelRidge) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dtype_object(KernelRidge) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_pandas_series(KernelRidge) ... SKIP: pandas is not installed: not testing for input of type pandas.Series to class weight.
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_list(KernelRidge) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_fit_returns_self(KernelRidge) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_empty_data_messages(KernelRidge) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_pipeline_consistency(KernelRidge) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_nan_inf(KernelRidge) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_overwrite_params(KernelRidge) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimator_sparse_data(KernelRidge) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_pickle(KernelRidge) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressors_train(KernelRidge) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressor_data_not_an_array(KernelRidge) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_partial_fit_n_features(KernelRidge) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressors_no_decision_function(KernelRidge) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_supervised_y_2d(KernelRidge) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_supervised_y_no_nan(KernelRidge) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressors_int(KernelRidge) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_unfitted(KernelRidge) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_non_transformer_estimators_n_iter(KernelRidge) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_predict1d(KernelRidge) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1sample(KernelRidge) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1feature(KernelRidge) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1feature(KernelRidge) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1sample(KernelRidge) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_get_params_invariance(KernelRidge) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dict_unchanged(KernelRidge) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dont_overwrite_parameters(KernelRidge) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/neighbors/approximate.py:220: DeprecationWarning: LSHForest has poor performance and has been deprecated in 0.19. It will be removed in version 0.21.
DeprecationWarning)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_no_fit_attributes_set_in_init(LSHForest) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_dtypes(LSHForest) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit_score_takes_y(LSHForest) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dtype_object(LSHForest) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_pandas_series(LSHForest) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_list(LSHForest) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_fit_returns_self(LSHForest) ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/random_projection.py:378: DataDimensionalityWarning: The number of components is higher than the number of features: n_features < n_components (4 < 32).The dimensionality of the problem will not be reduced.
DataDimensionalityWarning)
ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_empty_data_messages(LSHForest) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_pipeline_consistency(LSHForest) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_nan_inf(LSHForest) ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/random_projection.py:378: DataDimensionalityWarning: The number of components is higher than the number of features: n_features < n_components (3 < 32).The dimensionality of the problem will not be reduced.
DataDimensionalityWarning)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/random_projection.py:378: DataDimensionalityWarning: The number of components is higher than the number of features: n_features < n_components (3 < 32).The dimensionality of the problem will not be reduced.
DataDimensionalityWarning)
ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_overwrite_params(LSHForest) ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/random_projection.py:378: DataDimensionalityWarning: The number of components is higher than the number of features: n_features < n_components (2 < 32).The dimensionality of the problem will not be reduced.
DataDimensionalityWarning)
ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimator_sparse_data(LSHForest) ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/random_projection.py:378: DataDimensionalityWarning: The number of components is higher than the number of features: n_features < n_components (10 < 32).The dimensionality of the problem will not be reduced.
DataDimensionalityWarning)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/random_projection.py:378: DataDimensionalityWarning: The number of components is higher than the number of features: n_features < n_components (10 < 32).The dimensionality of the problem will not be reduced.
DataDimensionalityWarning)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/random_projection.py:378: DataDimensionalityWarning: The number of components is higher than the number of features: n_features < n_components (10 < 32).The dimensionality of the problem will not be reduced.
DataDimensionalityWarning)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/random_projection.py:378: DataDimensionalityWarning: The number of components is higher than the number of features: n_features < n_components (10 < 32).The dimensionality of the problem will not be reduced.
DataDimensionalityWarning)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/random_projection.py:378: DataDimensionalityWarning: The number of components is higher than the number of features: n_features < n_components (10 < 32).The dimensionality of the problem will not be reduced.
DataDimensionalityWarning)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/random_projection.py:378: DataDimensionalityWarning: The number of components is higher than the number of features: n_features < n_components (10 < 32).The dimensionality of the problem will not be reduced.
DataDimensionalityWarning)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/random_projection.py:378: DataDimensionalityWarning: The number of components is higher than the number of features: n_features < n_components (10 < 32).The dimensionality of the problem will not be reduced.
DataDimensionalityWarning)
ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_pickle(LSHForest) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_predict1d(LSHForest) ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/random_projection.py:378: DataDimensionalityWarning: The number of components is higher than the number of features: n_features < n_components (3 < 32).The dimensionality of the problem will not be reduced.
DataDimensionalityWarning)
ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1sample(LSHForest) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1feature(LSHForest) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1feature(LSHForest) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1sample(LSHForest) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_get_params_invariance(LSHForest) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dict_unchanged(LSHForest) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dont_overwrite_parameters(LSHForest) ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/random_projection.py:378: DataDimensionalityWarning: The number of components is higher than the number of features: n_features < n_components (3 < 32).The dimensionality of the problem will not be reduced.
DataDimensionalityWarning)
ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_no_fit_attributes_set_in_init(LabelPropagation) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_dtypes(LabelPropagation) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit_score_takes_y(LabelPropagation) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dtype_object(LabelPropagation) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_pandas_series(LabelPropagation) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_list(LabelPropagation) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_fit_returns_self(LabelPropagation) ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/metrics/pairwise.py:844: RuntimeWarning: underflow encountered in exp
np.exp(K, K) # exponentiate K in-place
ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_empty_data_messages(LabelPropagation) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_pipeline_consistency(LabelPropagation) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_nan_inf(LabelPropagation) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_overwrite_params(LabelPropagation) ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/metrics/pairwise.py:844: RuntimeWarning: underflow encountered in exp
np.exp(K, K) # exponentiate K in-place
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/semi_supervised/label_propagation.py:402: RuntimeWarning: underflow encountered in divide
affinity_matrix /= normalizer[:, np.newaxis]
ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimator_sparse_data(LabelPropagation) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_pickle(LabelPropagation) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_classifier_data_not_an_array(LabelPropagation) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_classifiers_one_label(LabelPropagation) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_classifiers_classes(LabelPropagation) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_partial_fit_n_features(LabelPropagation) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_classifiers_train(LabelPropagation) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_classifiers_regression_target(LabelPropagation) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_unfitted(LabelPropagation) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_non_transformer_estimators_n_iter(LabelPropagation) ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/metrics/pairwise.py:844: RuntimeWarning: underflow encountered in exp
np.exp(K, K) # exponentiate K in-place
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/semi_supervised/label_propagation.py:402: RuntimeWarning: underflow encountered in divide
affinity_matrix /= normalizer[:, np.newaxis]
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/semi_supervised/label_propagation.py:277: RuntimeWarning: underflow encountered in divide
self.label_distributions_ /= normalizer
ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_decision_proba_consistency(LabelPropagation) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_predict1d(LabelPropagation) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1sample(LabelPropagation) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1feature(LabelPropagation) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1feature(LabelPropagation) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1sample(LabelPropagation) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_get_params_invariance(LabelPropagation) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dict_unchanged(LabelPropagation) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dont_overwrite_parameters(LabelPropagation) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_no_fit_attributes_set_in_init(LabelSpreading) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_dtypes(LabelSpreading) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit_score_takes_y(LabelSpreading) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dtype_object(LabelSpreading) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_pandas_series(LabelSpreading) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_list(LabelSpreading) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_fit_returns_self(LabelSpreading) ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/metrics/pairwise.py:844: RuntimeWarning: underflow encountered in exp
np.exp(K, K) # exponentiate K in-place
ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_empty_data_messages(LabelSpreading) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_pipeline_consistency(LabelSpreading) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_nan_inf(LabelSpreading) ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/semi_supervised/label_propagation.py:288: ConvergenceWarning: max_iter=5 was reached without convergence.
category=ConvergenceWarning
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/semi_supervised/label_propagation.py:288: ConvergenceWarning: max_iter=5 was reached without convergence.
category=ConvergenceWarning
ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_overwrite_params(LabelSpreading) ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/metrics/pairwise.py:844: RuntimeWarning: underflow encountered in exp
np.exp(K, K) # exponentiate K in-place
/usr/lib/python2.7/dist-packages/scipy/sparse/csgraph/_laplacian.py:121: RuntimeWarning: underflow encountered in true_divide
m /= w
ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimator_sparse_data(LabelSpreading) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_pickle(LabelSpreading) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_classifier_data_not_an_array(LabelSpreading) ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/semi_supervised/label_propagation.py:288: ConvergenceWarning: max_iter=5 was reached without convergence.
category=ConvergenceWarning
ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_classifiers_one_label(LabelSpreading) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_classifiers_classes(LabelSpreading) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_partial_fit_n_features(LabelSpreading) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_classifiers_train(LabelSpreading) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_classifiers_regression_target(LabelSpreading) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_unfitted(LabelSpreading) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_non_transformer_estimators_n_iter(LabelSpreading) ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/metrics/pairwise.py:844: RuntimeWarning: underflow encountered in exp
np.exp(K, K) # exponentiate K in-place
/usr/lib/python2.7/dist-packages/scipy/sparse/csgraph/_laplacian.py:121: RuntimeWarning: underflow encountered in true_divide
m /= w
/usr/lib/python2.7/dist-packages/scipy/sparse/csgraph/_laplacian.py:122: RuntimeWarning: underflow encountered in true_divide
m /= w[:, np.newaxis]
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/semi_supervised/label_propagation.py:284: RuntimeWarning: underflow encountered in multiply
alpha, self.label_distributions_) + y_static
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/semi_supervised/label_propagation.py:288: ConvergenceWarning: max_iter=5 was reached without convergence.
category=ConvergenceWarning
ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_decision_proba_consistency(LabelSpreading) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_predict1d(LabelSpreading) ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/semi_supervised/label_propagation.py:288: ConvergenceWarning: max_iter=5 was reached without convergence.
category=ConvergenceWarning
ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1sample(LabelSpreading) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1feature(LabelSpreading) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1feature(LabelSpreading) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1sample(LabelSpreading) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_get_params_invariance(LabelSpreading) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dict_unchanged(LabelSpreading) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dont_overwrite_parameters(LabelSpreading) ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/semi_supervised/label_propagation.py:288: ConvergenceWarning: max_iter=5 was reached without convergence.
category=ConvergenceWarning
ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_no_fit_attributes_set_in_init(Lars) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_dtypes(Lars) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit_score_takes_y(Lars) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dtype_object(Lars) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_pandas_series(Lars) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_list(Lars) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_fit_returns_self(Lars) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_empty_data_messages(Lars) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_pipeline_consistency(Lars) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_nan_inf(Lars) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_overwrite_params(Lars) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimator_sparse_data(Lars) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_pickle(Lars) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressors_train(Lars) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressor_data_not_an_array(Lars) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_partial_fit_n_features(Lars) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressors_no_decision_function(Lars) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_supervised_y_2d(Lars) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_supervised_y_no_nan(Lars) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressors_int(Lars) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_unfitted(Lars) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_non_transformer_estimators_n_iter(Lars) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_predict1d(Lars) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1sample(Lars) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1feature(Lars) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1feature(Lars) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1sample(Lars) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_get_params_invariance(Lars) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dict_unchanged(Lars) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dont_overwrite_parameters(Lars) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_no_fit_attributes_set_in_init(LarsCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_dtypes(LarsCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit_score_takes_y(LarsCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dtype_object(LarsCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_pandas_series(LarsCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_list(LarsCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_fit_returns_self(LarsCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_empty_data_messages(LarsCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_pipeline_consistency(LarsCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_nan_inf(LarsCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_overwrite_params(LarsCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimator_sparse_data(LarsCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_pickle(LarsCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressors_train(LarsCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressor_data_not_an_array(LarsCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_partial_fit_n_features(LarsCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressors_no_decision_function(LarsCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_supervised_y_2d(LarsCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_supervised_y_no_nan(LarsCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressors_int(LarsCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_unfitted(LarsCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_non_transformer_estimators_n_iter(LarsCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_predict1d(LarsCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1sample(LarsCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1feature(LarsCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1feature(LarsCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1sample(LarsCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_get_params_invariance(LarsCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dict_unchanged(LarsCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dont_overwrite_parameters(LarsCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_no_fit_attributes_set_in_init(Lasso) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_dtypes(Lasso) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit_score_takes_y(Lasso) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dtype_object(Lasso) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_pandas_series(Lasso) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_list(Lasso) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_fit_returns_self(Lasso) ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/linear_model/coordinate_descent.py:491: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
ConvergenceWarning)
ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_empty_data_messages(Lasso) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_pipeline_consistency(Lasso) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_nan_inf(Lasso) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_overwrite_params(Lasso) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimator_sparse_data(Lasso) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_pickle(Lasso) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressors_train(Lasso) ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/linear_model/coordinate_descent.py:491: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
ConvergenceWarning)
ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressor_data_not_an_array(Lasso) ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/linear_model/coordinate_descent.py:491: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
ConvergenceWarning)
ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_partial_fit_n_features(Lasso) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressors_no_decision_function(Lasso) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_supervised_y_2d(Lasso) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_supervised_y_no_nan(Lasso) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressors_int(Lasso) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_unfitted(Lasso) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_non_transformer_estimators_n_iter(Lasso) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_predict1d(Lasso) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1sample(Lasso) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1feature(Lasso) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1feature(Lasso) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1sample(Lasso) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_get_params_invariance(Lasso) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dict_unchanged(Lasso) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dont_overwrite_parameters(Lasso) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_no_fit_attributes_set_in_init(LassoCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_dtypes(LassoCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit_score_takes_y(LassoCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dtype_object(LassoCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_pandas_series(LassoCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_list(LassoCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_fit_returns_self(LassoCV) ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/linear_model/coordinate_descent.py:491: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
ConvergenceWarning)
ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_empty_data_messages(LassoCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_pipeline_consistency(LassoCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_nan_inf(LassoCV) ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/linear_model/coordinate_descent.py:491: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
ConvergenceWarning)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/linear_model/coordinate_descent.py:491: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
ConvergenceWarning)
ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_overwrite_params(LassoCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimator_sparse_data(LassoCV) ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/linear_model/coordinate_descent.py:491: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
ConvergenceWarning)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/linear_model/coordinate_descent.py:491: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
ConvergenceWarning)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/linear_model/coordinate_descent.py:491: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
ConvergenceWarning)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/linear_model/coordinate_descent.py:491: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
ConvergenceWarning)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/linear_model/coordinate_descent.py:491: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
ConvergenceWarning)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/linear_model/coordinate_descent.py:491: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
ConvergenceWarning)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/linear_model/coordinate_descent.py:491: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
ConvergenceWarning)
ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_pickle(LassoCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressors_train(LassoCV) ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/linear_model/coordinate_descent.py:491: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
ConvergenceWarning)
ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressor_data_not_an_array(LassoCV) ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/linear_model/coordinate_descent.py:491: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
ConvergenceWarning)
ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_partial_fit_n_features(LassoCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressors_no_decision_function(LassoCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_supervised_y_2d(LassoCV) ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/linear_model/coordinate_descent.py:491: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
ConvergenceWarning)
ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_supervised_y_no_nan(LassoCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressors_int(LassoCV) ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/linear_model/coordinate_descent.py:491: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
ConvergenceWarning)
ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_unfitted(LassoCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_non_transformer_estimators_n_iter(LassoCV) ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/linear_model/coordinate_descent.py:491: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
ConvergenceWarning)
ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_predict1d(LassoCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1sample(LassoCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1feature(LassoCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1feature(LassoCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1sample(LassoCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_get_params_invariance(LassoCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dict_unchanged(LassoCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dont_overwrite_parameters(LassoCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_no_fit_attributes_set_in_init(LassoLars) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_dtypes(LassoLars) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit_score_takes_y(LassoLars) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dtype_object(LassoLars) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_pandas_series(LassoLars) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_list(LassoLars) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_fit_returns_self(LassoLars) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_empty_data_messages(LassoLars) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_pipeline_consistency(LassoLars) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_nan_inf(LassoLars) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_overwrite_params(LassoLars) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimator_sparse_data(LassoLars) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_pickle(LassoLars) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressors_train(LassoLars) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressor_data_not_an_array(LassoLars) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_partial_fit_n_features(LassoLars) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressors_no_decision_function(LassoLars) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_supervised_y_2d(LassoLars) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_supervised_y_no_nan(LassoLars) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressors_int(LassoLars) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_unfitted(LassoLars) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_non_transformer_estimators_n_iter(LassoLars) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_predict1d(LassoLars) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1sample(LassoLars) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1feature(LassoLars) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1feature(LassoLars) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1sample(LassoLars) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_get_params_invariance(LassoLars) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dict_unchanged(LassoLars) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dont_overwrite_parameters(LassoLars) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_no_fit_attributes_set_in_init(LassoLarsCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_dtypes(LassoLarsCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit_score_takes_y(LassoLarsCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dtype_object(LassoLarsCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_pandas_series(LassoLarsCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_list(LassoLarsCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_fit_returns_self(LassoLarsCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_empty_data_messages(LassoLarsCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_pipeline_consistency(LassoLarsCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_nan_inf(LassoLarsCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_overwrite_params(LassoLarsCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimator_sparse_data(LassoLarsCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_pickle(LassoLarsCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressors_train(LassoLarsCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressor_data_not_an_array(LassoLarsCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_partial_fit_n_features(LassoLarsCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressors_no_decision_function(LassoLarsCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_supervised_y_2d(LassoLarsCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_supervised_y_no_nan(LassoLarsCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressors_int(LassoLarsCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_unfitted(LassoLarsCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_non_transformer_estimators_n_iter(LassoLarsCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_predict1d(LassoLarsCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1sample(LassoLarsCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1feature(LassoLarsCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1feature(LassoLarsCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1sample(LassoLarsCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_get_params_invariance(LassoLarsCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dict_unchanged(LassoLarsCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dont_overwrite_parameters(LassoLarsCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_no_fit_attributes_set_in_init(LassoLarsIC) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_dtypes(LassoLarsIC) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit_score_takes_y(LassoLarsIC) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dtype_object(LassoLarsIC) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_pandas_series(LassoLarsIC) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_list(LassoLarsIC) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_fit_returns_self(LassoLarsIC) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_empty_data_messages(LassoLarsIC) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_pipeline_consistency(LassoLarsIC) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_nan_inf(LassoLarsIC) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_overwrite_params(LassoLarsIC) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimator_sparse_data(LassoLarsIC) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_pickle(LassoLarsIC) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressors_train(LassoLarsIC) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressor_data_not_an_array(LassoLarsIC) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_partial_fit_n_features(LassoLarsIC) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressors_no_decision_function(LassoLarsIC) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_supervised_y_2d(LassoLarsIC) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_supervised_y_no_nan(LassoLarsIC) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressors_int(LassoLarsIC) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_unfitted(LassoLarsIC) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_non_transformer_estimators_n_iter(LassoLarsIC) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_predict1d(LassoLarsIC) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1sample(LassoLarsIC) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1feature(LassoLarsIC) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1feature(LassoLarsIC) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1sample(LassoLarsIC) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_get_params_invariance(LassoLarsIC) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dict_unchanged(LassoLarsIC) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dont_overwrite_parameters(LassoLarsIC) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_no_fit_attributes_set_in_init(LatentDirichletAllocation) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_dtypes(LatentDirichletAllocation) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit_score_takes_y(LatentDirichletAllocation) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dtype_object(LatentDirichletAllocation) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_pandas_series(LatentDirichletAllocation) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_list(LatentDirichletAllocation) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_fit_returns_self(LatentDirichletAllocation) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_empty_data_messages(LatentDirichletAllocation) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_pipeline_consistency(LatentDirichletAllocation) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_nan_inf(LatentDirichletAllocation) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_overwrite_params(LatentDirichletAllocation) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimator_sparse_data(LatentDirichletAllocation) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_pickle(LatentDirichletAllocation) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformer_data_not_an_array(LatentDirichletAllocation) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformer_general(LatentDirichletAllocation) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformers_unfitted(LatentDirichletAllocation) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformer_n_iter(LatentDirichletAllocation) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_predict1d(LatentDirichletAllocation) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1sample(LatentDirichletAllocation) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1feature(LatentDirichletAllocation) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1feature(LatentDirichletAllocation) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1sample(LatentDirichletAllocation) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_get_params_invariance(LatentDirichletAllocation) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dict_unchanged(LatentDirichletAllocation) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dont_overwrite_parameters(LatentDirichletAllocation) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_no_fit_attributes_set_in_init(LedoitWolf) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_dtypes(LedoitWolf) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit_score_takes_y(LedoitWolf) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dtype_object(LedoitWolf) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_pandas_series(LedoitWolf) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_list(LedoitWolf) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_fit_returns_self(LedoitWolf) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_empty_data_messages(LedoitWolf) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_pipeline_consistency(LedoitWolf) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_nan_inf(LedoitWolf) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_overwrite_params(LedoitWolf) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimator_sparse_data(LedoitWolf) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_pickle(LedoitWolf) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_predict1d(LedoitWolf) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1sample(LedoitWolf) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1feature(LedoitWolf) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1feature(LedoitWolf) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1sample(LedoitWolf) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_get_params_invariance(LedoitWolf) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dict_unchanged(LedoitWolf) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dont_overwrite_parameters(LedoitWolf) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_no_fit_attributes_set_in_init(LinearDiscriminantAnalysis) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_dtypes(LinearDiscriminantAnalysis) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit_score_takes_y(LinearDiscriminantAnalysis) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dtype_object(LinearDiscriminantAnalysis) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_pandas_series(LinearDiscriminantAnalysis) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_list(LinearDiscriminantAnalysis) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_fit_returns_self(LinearDiscriminantAnalysis) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_empty_data_messages(LinearDiscriminantAnalysis) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_pipeline_consistency(LinearDiscriminantAnalysis) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_nan_inf(LinearDiscriminantAnalysis) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_overwrite_params(LinearDiscriminantAnalysis) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimator_sparse_data(LinearDiscriminantAnalysis) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_pickle(LinearDiscriminantAnalysis) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_classifier_data_not_an_array(LinearDiscriminantAnalysis) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_classifiers_one_label(LinearDiscriminantAnalysis) ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/discriminant_analysis.py:402: RuntimeWarning: invalid value encountered in divide
S**2))[:self._max_components]
ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_classifiers_classes(LinearDiscriminantAnalysis) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_partial_fit_n_features(LinearDiscriminantAnalysis) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_classifiers_train(LinearDiscriminantAnalysis) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_classifiers_regression_target(LinearDiscriminantAnalysis) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_supervised_y_2d(LinearDiscriminantAnalysis) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_unfitted(LinearDiscriminantAnalysis) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_non_transformer_estimators_n_iter(LinearDiscriminantAnalysis) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_decision_proba_consistency(LinearDiscriminantAnalysis) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformer_data_not_an_array(LinearDiscriminantAnalysis) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformer_general(LinearDiscriminantAnalysis) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformers_unfitted(LinearDiscriminantAnalysis) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformer_n_iter(LinearDiscriminantAnalysis) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_predict1d(LinearDiscriminantAnalysis) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1sample(LinearDiscriminantAnalysis) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1feature(LinearDiscriminantAnalysis) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1feature(LinearDiscriminantAnalysis) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1sample(LinearDiscriminantAnalysis) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_get_params_invariance(LinearDiscriminantAnalysis) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dict_unchanged(LinearDiscriminantAnalysis) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dont_overwrite_parameters(LinearDiscriminantAnalysis) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_no_fit_attributes_set_in_init(LinearRegression) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_dtypes(LinearRegression) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit_score_takes_y(LinearRegression) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dtype_object(LinearRegression) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_pandas_series(LinearRegression) ... SKIP: pandas is not installed: not testing for input of type pandas.Series to class weight.
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_list(LinearRegression) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_fit_returns_self(LinearRegression) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_empty_data_messages(LinearRegression) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_pipeline_consistency(LinearRegression) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_nan_inf(LinearRegression) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_overwrite_params(LinearRegression) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimator_sparse_data(LinearRegression) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_pickle(LinearRegression) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressors_train(LinearRegression) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressor_data_not_an_array(LinearRegression) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_partial_fit_n_features(LinearRegression) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressors_no_decision_function(LinearRegression) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_supervised_y_2d(LinearRegression) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_supervised_y_no_nan(LinearRegression) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressors_int(LinearRegression) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_unfitted(LinearRegression) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_non_transformer_estimators_n_iter(LinearRegression) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_predict1d(LinearRegression) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1sample(LinearRegression) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1feature(LinearRegression) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1feature(LinearRegression) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1sample(LinearRegression) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_get_params_invariance(LinearRegression) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dict_unchanged(LinearRegression) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dont_overwrite_parameters(LinearRegression) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_no_fit_attributes_set_in_init(LinearSVC) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_dtypes(LinearSVC) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit_score_takes_y(LinearSVC) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dtype_object(LinearSVC) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_pandas_series(LinearSVC) ... SKIP: pandas is not installed: not testing for input of type pandas.Series to class weight.
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_list(LinearSVC) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_fit_returns_self(LinearSVC) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_empty_data_messages(LinearSVC) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_pipeline_consistency(LinearSVC) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_nan_inf(LinearSVC) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_overwrite_params(LinearSVC) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sparsify_coefficients(LinearSVC) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimator_sparse_data(LinearSVC) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_pickle(LinearSVC) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_classifier_data_not_an_array(LinearSVC) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_classifiers_one_label(LinearSVC) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_classifiers_classes(LinearSVC) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_partial_fit_n_features(LinearSVC) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_classifiers_train(LinearSVC) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_classifiers_regression_target(LinearSVC) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_supervised_y_2d(LinearSVC) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_unfitted(LinearSVC) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_class_weight_classifiers(LinearSVC) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_non_transformer_estimators_n_iter(LinearSVC) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_decision_proba_consistency(LinearSVC) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_predict1d(LinearSVC) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1sample(LinearSVC) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1feature(LinearSVC) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1feature(LinearSVC) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1sample(LinearSVC) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_get_params_invariance(LinearSVC) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dict_unchanged(LinearSVC) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dont_overwrite_parameters(LinearSVC) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_no_fit_attributes_set_in_init(LinearSVR) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_dtypes(LinearSVR) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit_score_takes_y(LinearSVR) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dtype_object(LinearSVR) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_pandas_series(LinearSVR) ... SKIP: pandas is not installed: not testing for input of type pandas.Series to class weight.
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_list(LinearSVR) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_fit_returns_self(LinearSVR) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_empty_data_messages(LinearSVR) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_pipeline_consistency(LinearSVR) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_nan_inf(LinearSVR) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_overwrite_params(LinearSVR) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimator_sparse_data(LinearSVR) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_pickle(LinearSVR) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressors_train(LinearSVR) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressor_data_not_an_array(LinearSVR) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_partial_fit_n_features(LinearSVR) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressors_no_decision_function(LinearSVR) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_supervised_y_2d(LinearSVR) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_supervised_y_no_nan(LinearSVR) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressors_int(LinearSVR) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_unfitted(LinearSVR) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_non_transformer_estimators_n_iter(LinearSVR) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_predict1d(LinearSVR) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1sample(LinearSVR) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1feature(LinearSVR) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1feature(LinearSVR) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1sample(LinearSVR) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_get_params_invariance(LinearSVR) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dict_unchanged(LinearSVR) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dont_overwrite_parameters(LinearSVR) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_no_fit_attributes_set_in_init(LocalOutlierFactor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_dtypes(LocalOutlierFactor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit_score_takes_y(LocalOutlierFactor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dtype_object(LocalOutlierFactor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_pandas_series(LocalOutlierFactor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_list(LocalOutlierFactor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_fit_returns_self(LocalOutlierFactor) ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/neighbors/lof.py:180: UserWarning: n_neighbors (20) is greater than the total number of samples (9). n_neighbors will be set to (n_samples - 1) for estimation.
% (self.n_neighbors, n_samples))
ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_empty_data_messages(LocalOutlierFactor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_pipeline_consistency(LocalOutlierFactor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_nan_inf(LocalOutlierFactor) ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/neighbors/lof.py:180: UserWarning: n_neighbors (20) is greater than the total number of samples (10). n_neighbors will be set to (n_samples - 1) for estimation.
% (self.n_neighbors, n_samples))
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/neighbors/lof.py:180: UserWarning: n_neighbors (20) is greater than the total number of samples (10). n_neighbors will be set to (n_samples - 1) for estimation.
% (self.n_neighbors, n_samples))
ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_overwrite_params(LocalOutlierFactor) ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/neighbors/lof.py:180: UserWarning: n_neighbors (20) is greater than the total number of samples (9). n_neighbors will be set to (n_samples - 1) for estimation.
% (self.n_neighbors, n_samples))
ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimator_sparse_data(LocalOutlierFactor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_pickle(LocalOutlierFactor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_predict1d(LocalOutlierFactor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1sample(LocalOutlierFactor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1feature(LocalOutlierFactor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1feature(LocalOutlierFactor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1sample(LocalOutlierFactor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_get_params_invariance(LocalOutlierFactor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dict_unchanged(LocalOutlierFactor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dont_overwrite_parameters(LocalOutlierFactor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_no_fit_attributes_set_in_init(LocallyLinearEmbedding) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_dtypes(LocallyLinearEmbedding) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit_score_takes_y(LocallyLinearEmbedding) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dtype_object(LocallyLinearEmbedding) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_pandas_series(LocallyLinearEmbedding) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_list(LocallyLinearEmbedding) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_fit_returns_self(LocallyLinearEmbedding) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_empty_data_messages(LocallyLinearEmbedding) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_pipeline_consistency(LocallyLinearEmbedding) ... SKIP: LocallyLinearEmbedding is non deterministic on 32bit Python
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_nan_inf(LocallyLinearEmbedding) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_overwrite_params(LocallyLinearEmbedding) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimator_sparse_data(LocallyLinearEmbedding) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_pickle(LocallyLinearEmbedding) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformer_data_not_an_array(LocallyLinearEmbedding) ... SKIP: LocallyLinearEmbedding is non deterministic on 32bit Python
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformer_general(LocallyLinearEmbedding) ... SKIP: LocallyLinearEmbedding is non deterministic on 32bit Python
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformers_unfitted(LocallyLinearEmbedding) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_predict1d(LocallyLinearEmbedding) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1sample(LocallyLinearEmbedding) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1feature(LocallyLinearEmbedding) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1feature(LocallyLinearEmbedding) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1sample(LocallyLinearEmbedding) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_get_params_invariance(LocallyLinearEmbedding) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dict_unchanged(LocallyLinearEmbedding) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dont_overwrite_parameters(LocallyLinearEmbedding) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_no_fit_attributes_set_in_init(LogisticRegression) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_dtypes(LogisticRegression) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit_score_takes_y(LogisticRegression) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dtype_object(LogisticRegression) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_pandas_series(LogisticRegression) ... SKIP: pandas is not installed: not testing for input of type pandas.Series to class weight.
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_list(LogisticRegression) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_fit_returns_self(LogisticRegression) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_empty_data_messages(LogisticRegression) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_pipeline_consistency(LogisticRegression) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_nan_inf(LogisticRegression) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_overwrite_params(LogisticRegression) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sparsify_coefficients(LogisticRegression) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimator_sparse_data(LogisticRegression) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_pickle(LogisticRegression) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_classifier_data_not_an_array(LogisticRegression) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_classifiers_one_label(LogisticRegression) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_classifiers_classes(LogisticRegression) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_partial_fit_n_features(LogisticRegression) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_classifiers_train(LogisticRegression) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_classifiers_regression_target(LogisticRegression) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_supervised_y_2d(LogisticRegression) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_unfitted(LogisticRegression) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_class_weight_classifiers(LogisticRegression) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_non_transformer_estimators_n_iter(LogisticRegression) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_decision_proba_consistency(LogisticRegression) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_predict1d(LogisticRegression) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1sample(LogisticRegression) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1feature(LogisticRegression) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1feature(LogisticRegression) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1sample(LogisticRegression) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_get_params_invariance(LogisticRegression) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dict_unchanged(LogisticRegression) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dont_overwrite_parameters(LogisticRegression) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_no_fit_attributes_set_in_init(LogisticRegressionCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_dtypes(LogisticRegressionCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit_score_takes_y(LogisticRegressionCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dtype_object(LogisticRegressionCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_pandas_series(LogisticRegressionCV) ... SKIP: pandas is not installed: not testing for input of type pandas.Series to class weight.
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_list(LogisticRegressionCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_fit_returns_self(LogisticRegressionCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_empty_data_messages(LogisticRegressionCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_pipeline_consistency(LogisticRegressionCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_nan_inf(LogisticRegressionCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_overwrite_params(LogisticRegressionCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sparsify_coefficients(LogisticRegressionCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimator_sparse_data(LogisticRegressionCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_pickle(LogisticRegressionCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_classifier_data_not_an_array(LogisticRegressionCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_classifiers_one_label(LogisticRegressionCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_classifiers_classes(LogisticRegressionCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_partial_fit_n_features(LogisticRegressionCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_classifiers_train(LogisticRegressionCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_classifiers_regression_target(LogisticRegressionCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_supervised_y_2d(LogisticRegressionCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_unfitted(LogisticRegressionCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_class_weight_classifiers(LogisticRegressionCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_non_transformer_estimators_n_iter(LogisticRegressionCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_decision_proba_consistency(LogisticRegressionCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_predict1d(LogisticRegressionCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1sample(LogisticRegressionCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1feature(LogisticRegressionCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1feature(LogisticRegressionCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1sample(LogisticRegressionCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_get_params_invariance(LogisticRegressionCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dict_unchanged(LogisticRegressionCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dont_overwrite_parameters(LogisticRegressionCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_no_fit_attributes_set_in_init(MDS) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_dtypes(MDS) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit_score_takes_y(MDS) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dtype_object(MDS) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_pandas_series(MDS) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_list(MDS) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_fit_returns_self(MDS) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_empty_data_messages(MDS) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_pipeline_consistency(MDS) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_nan_inf(MDS) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_overwrite_params(MDS) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimator_sparse_data(MDS) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_pickle(MDS) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_predict1d(MDS) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1sample(MDS) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1feature(MDS) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1feature(MDS) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1sample(MDS) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_get_params_invariance(MDS) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dict_unchanged(MDS) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dont_overwrite_parameters(MDS) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_no_fit_attributes_set_in_init(MLPClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_dtypes(MLPClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit_score_takes_y(MLPClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dtype_object(MLPClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_pandas_series(MLPClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_list(MLPClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_fit_returns_self(MLPClassifier) ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/neural_network/multilayer_perceptron.py:564: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (100) reached and the optimization hasn't converged yet.
% self.max_iter, ConvergenceWarning)
ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_empty_data_messages(MLPClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_pipeline_consistency(MLPClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_nan_inf(MLPClassifier) ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/neural_network/multilayer_perceptron.py:564: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (100) reached and the optimization hasn't converged yet.
% self.max_iter, ConvergenceWarning)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/neural_network/multilayer_perceptron.py:564: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (100) reached and the optimization hasn't converged yet.
% self.max_iter, ConvergenceWarning)
ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_overwrite_params(MLPClassifier) ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/neural_network/multilayer_perceptron.py:564: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (100) reached and the optimization hasn't converged yet.
% self.max_iter, ConvergenceWarning)
ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimator_sparse_data(MLPClassifier) ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/neural_network/multilayer_perceptron.py:564: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (100) reached and the optimization hasn't converged yet.
% self.max_iter, ConvergenceWarning)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/neural_network/multilayer_perceptron.py:564: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (100) reached and the optimization hasn't converged yet.
% self.max_iter, ConvergenceWarning)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/neural_network/multilayer_perceptron.py:564: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (100) reached and the optimization hasn't converged yet.
% self.max_iter, ConvergenceWarning)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/neural_network/multilayer_perceptron.py:564: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (100) reached and the optimization hasn't converged yet.
% self.max_iter, ConvergenceWarning)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/neural_network/multilayer_perceptron.py:564: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (100) reached and the optimization hasn't converged yet.
% self.max_iter, ConvergenceWarning)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/neural_network/multilayer_perceptron.py:564: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (100) reached and the optimization hasn't converged yet.
% self.max_iter, ConvergenceWarning)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/neural_network/multilayer_perceptron.py:564: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (100) reached and the optimization hasn't converged yet.
% self.max_iter, ConvergenceWarning)
ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_pickle(MLPClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_classifier_data_not_an_array(MLPClassifier) ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/neural_network/multilayer_perceptron.py:564: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (100) reached and the optimization hasn't converged yet.
% self.max_iter, ConvergenceWarning)
ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_classifiers_one_label(MLPClassifier) ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/neural_network/multilayer_perceptron.py:564: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (100) reached and the optimization hasn't converged yet.
% self.max_iter, ConvergenceWarning)
ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_classifiers_classes(MLPClassifier) ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/neural_network/multilayer_perceptron.py:564: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (100) reached and the optimization hasn't converged yet.
% self.max_iter, ConvergenceWarning)
ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_partial_fit_n_features(MLPClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_classifiers_train(MLPClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_classifiers_regression_target(MLPClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_supervised_y_2d(MLPClassifier) ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/neural_network/multilayer_perceptron.py:564: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (100) reached and the optimization hasn't converged yet.
% self.max_iter, ConvergenceWarning)
ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_unfitted(MLPClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_non_transformer_estimators_n_iter(MLPClassifier) ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/neural_network/multilayer_perceptron.py:564: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (100) reached and the optimization hasn't converged yet.
% self.max_iter, ConvergenceWarning)
ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_decision_proba_consistency(MLPClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_predict1d(MLPClassifier) ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/neural_network/multilayer_perceptron.py:564: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (100) reached and the optimization hasn't converged yet.
% self.max_iter, ConvergenceWarning)
ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1sample(MLPClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1feature(MLPClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1feature(MLPClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1sample(MLPClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_get_params_invariance(MLPClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dict_unchanged(MLPClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dont_overwrite_parameters(MLPClassifier) ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/neural_network/multilayer_perceptron.py:564: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (100) reached and the optimization hasn't converged yet.
% self.max_iter, ConvergenceWarning)
ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_no_fit_attributes_set_in_init(MLPRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_dtypes(MLPRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit_score_takes_y(MLPRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dtype_object(MLPRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_pandas_series(MLPRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_list(MLPRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_fit_returns_self(MLPRegressor) ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/neural_network/multilayer_perceptron.py:564: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (100) reached and the optimization hasn't converged yet.
% self.max_iter, ConvergenceWarning)
ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_empty_data_messages(MLPRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_pipeline_consistency(MLPRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_nan_inf(MLPRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_overwrite_params(MLPRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimator_sparse_data(MLPRegressor) ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/neural_network/multilayer_perceptron.py:564: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (100) reached and the optimization hasn't converged yet.
% self.max_iter, ConvergenceWarning)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/neural_network/multilayer_perceptron.py:564: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (100) reached and the optimization hasn't converged yet.
% self.max_iter, ConvergenceWarning)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/neural_network/multilayer_perceptron.py:564: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (100) reached and the optimization hasn't converged yet.
% self.max_iter, ConvergenceWarning)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/neural_network/multilayer_perceptron.py:564: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (100) reached and the optimization hasn't converged yet.
% self.max_iter, ConvergenceWarning)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/neural_network/multilayer_perceptron.py:564: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (100) reached and the optimization hasn't converged yet.
% self.max_iter, ConvergenceWarning)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/neural_network/multilayer_perceptron.py:564: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (100) reached and the optimization hasn't converged yet.
% self.max_iter, ConvergenceWarning)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/neural_network/multilayer_perceptron.py:564: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (100) reached and the optimization hasn't converged yet.
% self.max_iter, ConvergenceWarning)
ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_pickle(MLPRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressors_train(MLPRegressor) ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/neural_network/multilayer_perceptron.py:564: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (100) reached and the optimization hasn't converged yet.
% self.max_iter, ConvergenceWarning)
ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressor_data_not_an_array(MLPRegressor) ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/neural_network/multilayer_perceptron.py:564: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (100) reached and the optimization hasn't converged yet.
% self.max_iter, ConvergenceWarning)
ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_partial_fit_n_features(MLPRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressors_no_decision_function(MLPRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_supervised_y_2d(MLPRegressor) ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/neural_network/multilayer_perceptron.py:564: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (100) reached and the optimization hasn't converged yet.
% self.max_iter, ConvergenceWarning)
ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_supervised_y_no_nan(MLPRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressors_int(MLPRegressor) ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/neural_network/multilayer_perceptron.py:564: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (100) reached and the optimization hasn't converged yet.
% self.max_iter, ConvergenceWarning)
ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_unfitted(MLPRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_non_transformer_estimators_n_iter(MLPRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_predict1d(MLPRegressor) ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/neural_network/multilayer_perceptron.py:564: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (100) reached and the optimization hasn't converged yet.
% self.max_iter, ConvergenceWarning)
ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1sample(MLPRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1feature(MLPRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1feature(MLPRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1sample(MLPRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_get_params_invariance(MLPRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dict_unchanged(MLPRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dont_overwrite_parameters(MLPRegressor) ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/neural_network/multilayer_perceptron.py:564: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (100) reached and the optimization hasn't converged yet.
% self.max_iter, ConvergenceWarning)
ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_no_fit_attributes_set_in_init(MaxAbsScaler) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_dtypes(MaxAbsScaler) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit_score_takes_y(MaxAbsScaler) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dtype_object(MaxAbsScaler) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_pandas_series(MaxAbsScaler) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_list(MaxAbsScaler) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_fit_returns_self(MaxAbsScaler) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_empty_data_messages(MaxAbsScaler) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_pipeline_consistency(MaxAbsScaler) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_nan_inf(MaxAbsScaler) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_overwrite_params(MaxAbsScaler) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimator_sparse_data(MaxAbsScaler) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_pickle(MaxAbsScaler) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformer_data_not_an_array(MaxAbsScaler) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformer_general(MaxAbsScaler) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformers_unfitted(MaxAbsScaler) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformer_n_iter(MaxAbsScaler) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_predict1d(MaxAbsScaler) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1sample(MaxAbsScaler) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1feature(MaxAbsScaler) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1feature(MaxAbsScaler) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1sample(MaxAbsScaler) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_get_params_invariance(MaxAbsScaler) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dict_unchanged(MaxAbsScaler) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dont_overwrite_parameters(MaxAbsScaler) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_no_fit_attributes_set_in_init(MeanShift) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_dtypes(MeanShift) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit_score_takes_y(MeanShift) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dtype_object(MeanShift) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_pandas_series(MeanShift) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_list(MeanShift) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_fit_returns_self(MeanShift) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_empty_data_messages(MeanShift) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_pipeline_consistency(MeanShift) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_nan_inf(MeanShift) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_overwrite_params(MeanShift) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimator_sparse_data(MeanShift) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_pickle(MeanShift) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_clusterer_compute_labels_predict(MeanShift) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_clustering(MeanShift) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_partial_fit_n_features(MeanShift) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_non_transformer_estimators_n_iter(MeanShift) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_predict1d(MeanShift) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1sample(MeanShift) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1feature(MeanShift) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1feature(MeanShift) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1sample(MeanShift) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_get_params_invariance(MeanShift) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dict_unchanged(MeanShift) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dont_overwrite_parameters(MeanShift) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_no_fit_attributes_set_in_init(MinCovDet) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_dtypes(MinCovDet) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit_score_takes_y(MinCovDet) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dtype_object(MinCovDet) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_pandas_series(MinCovDet) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_list(MinCovDet) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_fit_returns_self(MinCovDet) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_empty_data_messages(MinCovDet) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_pipeline_consistency(MinCovDet) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_nan_inf(MinCovDet) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_overwrite_params(MinCovDet) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimator_sparse_data(MinCovDet) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_pickle(MinCovDet) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_predict1d(MinCovDet) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1sample(MinCovDet) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1feature(MinCovDet) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1feature(MinCovDet) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1sample(MinCovDet) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_get_params_invariance(MinCovDet) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dict_unchanged(MinCovDet) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dont_overwrite_parameters(MinCovDet) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_no_fit_attributes_set_in_init(MinMaxScaler) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_dtypes(MinMaxScaler) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit_score_takes_y(MinMaxScaler) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dtype_object(MinMaxScaler) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_pandas_series(MinMaxScaler) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_list(MinMaxScaler) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_fit_returns_self(MinMaxScaler) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_empty_data_messages(MinMaxScaler) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_pipeline_consistency(MinMaxScaler) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_nan_inf(MinMaxScaler) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_overwrite_params(MinMaxScaler) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimator_sparse_data(MinMaxScaler) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_pickle(MinMaxScaler) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformer_data_not_an_array(MinMaxScaler) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformer_general(MinMaxScaler) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformers_unfitted(MinMaxScaler) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformer_n_iter(MinMaxScaler) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_predict1d(MinMaxScaler) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1sample(MinMaxScaler) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1feature(MinMaxScaler) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1feature(MinMaxScaler) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1sample(MinMaxScaler) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_get_params_invariance(MinMaxScaler) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dict_unchanged(MinMaxScaler) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dont_overwrite_parameters(MinMaxScaler) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_no_fit_attributes_set_in_init(MiniBatchDictionaryLearning) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_dtypes(MiniBatchDictionaryLearning) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit_score_takes_y(MiniBatchDictionaryLearning) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dtype_object(MiniBatchDictionaryLearning) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_pandas_series(MiniBatchDictionaryLearning) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_list(MiniBatchDictionaryLearning) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_fit_returns_self(MiniBatchDictionaryLearning) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_empty_data_messages(MiniBatchDictionaryLearning) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_pipeline_consistency(MiniBatchDictionaryLearning) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_nan_inf(MiniBatchDictionaryLearning) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_overwrite_params(MiniBatchDictionaryLearning) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimator_sparse_data(MiniBatchDictionaryLearning) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_pickle(MiniBatchDictionaryLearning) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformer_data_not_an_array(MiniBatchDictionaryLearning) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformer_general(MiniBatchDictionaryLearning) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformers_unfitted(MiniBatchDictionaryLearning) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformer_n_iter(MiniBatchDictionaryLearning) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_predict1d(MiniBatchDictionaryLearning) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1sample(MiniBatchDictionaryLearning) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1feature(MiniBatchDictionaryLearning) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1feature(MiniBatchDictionaryLearning) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1sample(MiniBatchDictionaryLearning) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_get_params_invariance(MiniBatchDictionaryLearning) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dict_unchanged(MiniBatchDictionaryLearning) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dont_overwrite_parameters(MiniBatchDictionaryLearning) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_no_fit_attributes_set_in_init(MiniBatchKMeans) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_dtypes(MiniBatchKMeans) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit_score_takes_y(MiniBatchKMeans) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dtype_object(MiniBatchKMeans) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_pandas_series(MiniBatchKMeans) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_list(MiniBatchKMeans) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_fit_returns_self(MiniBatchKMeans) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_empty_data_messages(MiniBatchKMeans) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_pipeline_consistency(MiniBatchKMeans) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_nan_inf(MiniBatchKMeans) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_overwrite_params(MiniBatchKMeans) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimator_sparse_data(MiniBatchKMeans) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_pickle(MiniBatchKMeans) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformer_data_not_an_array(MiniBatchKMeans) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformer_general(MiniBatchKMeans) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformers_unfitted(MiniBatchKMeans) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformer_n_iter(MiniBatchKMeans) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_clusterer_compute_labels_predict(MiniBatchKMeans) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_clustering(MiniBatchKMeans) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_partial_fit_n_features(MiniBatchKMeans) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_non_transformer_estimators_n_iter(MiniBatchKMeans) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_predict1d(MiniBatchKMeans) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1sample(MiniBatchKMeans) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1feature(MiniBatchKMeans) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1feature(MiniBatchKMeans) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1sample(MiniBatchKMeans) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_get_params_invariance(MiniBatchKMeans) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dict_unchanged(MiniBatchKMeans) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dont_overwrite_parameters(MiniBatchKMeans) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_no_fit_attributes_set_in_init(MiniBatchSparsePCA) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_dtypes(MiniBatchSparsePCA) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit_score_takes_y(MiniBatchSparsePCA) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dtype_object(MiniBatchSparsePCA) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_pandas_series(MiniBatchSparsePCA) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_list(MiniBatchSparsePCA) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_fit_returns_self(MiniBatchSparsePCA) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_empty_data_messages(MiniBatchSparsePCA) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_pipeline_consistency(MiniBatchSparsePCA) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_nan_inf(MiniBatchSparsePCA) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_overwrite_params(MiniBatchSparsePCA) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimator_sparse_data(MiniBatchSparsePCA) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_pickle(MiniBatchSparsePCA) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformer_data_not_an_array(MiniBatchSparsePCA) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformer_general(MiniBatchSparsePCA) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformers_unfitted(MiniBatchSparsePCA) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformer_n_iter(MiniBatchSparsePCA) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_predict1d(MiniBatchSparsePCA) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1sample(MiniBatchSparsePCA) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1feature(MiniBatchSparsePCA) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1feature(MiniBatchSparsePCA) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1sample(MiniBatchSparsePCA) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_get_params_invariance(MiniBatchSparsePCA) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dict_unchanged(MiniBatchSparsePCA) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dont_overwrite_parameters(MiniBatchSparsePCA) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_no_fit_attributes_set_in_init(MultiTaskElasticNet) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_dtypes(MultiTaskElasticNet) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit_score_takes_y(MultiTaskElasticNet) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dtype_object(MultiTaskElasticNet) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_pandas_series(MultiTaskElasticNet) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_list(MultiTaskElasticNet) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_fit_returns_self(MultiTaskElasticNet) ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/linear_model/coordinate_descent.py:1778: ConvergenceWarning: Objective did not converge, you might want to increase the number of iterations
ConvergenceWarning)
ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_empty_data_messages(MultiTaskElasticNet) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_pipeline_consistency(MultiTaskElasticNet) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_nan_inf(MultiTaskElasticNet) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_overwrite_params(MultiTaskElasticNet) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimator_sparse_data(MultiTaskElasticNet) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_pickle(MultiTaskElasticNet) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressors_train(MultiTaskElasticNet) ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/linear_model/coordinate_descent.py:1778: ConvergenceWarning: Objective did not converge, you might want to increase the number of iterations
ConvergenceWarning)
ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressor_data_not_an_array(MultiTaskElasticNet) ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/linear_model/coordinate_descent.py:1778: ConvergenceWarning: Objective did not converge, you might want to increase the number of iterations
ConvergenceWarning)
ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_partial_fit_n_features(MultiTaskElasticNet) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressors_no_decision_function(MultiTaskElasticNet) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_supervised_y_2d(MultiTaskElasticNet) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_supervised_y_no_nan(MultiTaskElasticNet) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressors_int(MultiTaskElasticNet) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_unfitted(MultiTaskElasticNet) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_non_transformer_estimators_n_iter(MultiTaskElasticNet) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_predict1d(MultiTaskElasticNet) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1sample(MultiTaskElasticNet) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1feature(MultiTaskElasticNet) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1feature(MultiTaskElasticNet) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1sample(MultiTaskElasticNet) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_get_params_invariance(MultiTaskElasticNet) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dict_unchanged(MultiTaskElasticNet) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dont_overwrite_parameters(MultiTaskElasticNet) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_no_fit_attributes_set_in_init(MultiTaskElasticNetCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_dtypes(MultiTaskElasticNetCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit_score_takes_y(MultiTaskElasticNetCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dtype_object(MultiTaskElasticNetCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_pandas_series(MultiTaskElasticNetCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_list(MultiTaskElasticNetCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_fit_returns_self(MultiTaskElasticNetCV) ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/linear_model/coordinate_descent.py:491: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
ConvergenceWarning)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/linear_model/coordinate_descent.py:1778: ConvergenceWarning: Objective did not converge, you might want to increase the number of iterations
ConvergenceWarning)
ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_empty_data_messages(MultiTaskElasticNetCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_pipeline_consistency(MultiTaskElasticNetCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_nan_inf(MultiTaskElasticNetCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_overwrite_params(MultiTaskElasticNetCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimator_sparse_data(MultiTaskElasticNetCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_pickle(MultiTaskElasticNetCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressors_train(MultiTaskElasticNetCV) ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/linear_model/coordinate_descent.py:491: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
ConvergenceWarning)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/linear_model/coordinate_descent.py:1778: ConvergenceWarning: Objective did not converge, you might want to increase the number of iterations
ConvergenceWarning)
ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressor_data_not_an_array(MultiTaskElasticNetCV) ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/linear_model/coordinate_descent.py:491: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
ConvergenceWarning)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/linear_model/coordinate_descent.py:1778: ConvergenceWarning: Objective did not converge, you might want to increase the number of iterations
ConvergenceWarning)
ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_partial_fit_n_features(MultiTaskElasticNetCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressors_no_decision_function(MultiTaskElasticNetCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_supervised_y_2d(MultiTaskElasticNetCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_supervised_y_no_nan(MultiTaskElasticNetCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressors_int(MultiTaskElasticNetCV) ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/linear_model/coordinate_descent.py:491: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
ConvergenceWarning)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/linear_model/coordinate_descent.py:1778: ConvergenceWarning: Objective did not converge, you might want to increase the number of iterations
ConvergenceWarning)
ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_unfitted(MultiTaskElasticNetCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_non_transformer_estimators_n_iter(MultiTaskElasticNetCV) ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/linear_model/coordinate_descent.py:491: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
ConvergenceWarning)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/linear_model/coordinate_descent.py:1778: ConvergenceWarning: Objective did not converge, you might want to increase the number of iterations
ConvergenceWarning)
ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_predict1d(MultiTaskElasticNetCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1sample(MultiTaskElasticNetCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1feature(MultiTaskElasticNetCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1feature(MultiTaskElasticNetCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1sample(MultiTaskElasticNetCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_get_params_invariance(MultiTaskElasticNetCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dict_unchanged(MultiTaskElasticNetCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dont_overwrite_parameters(MultiTaskElasticNetCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_no_fit_attributes_set_in_init(MultiTaskLasso) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_dtypes(MultiTaskLasso) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit_score_takes_y(MultiTaskLasso) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dtype_object(MultiTaskLasso) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_pandas_series(MultiTaskLasso) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_list(MultiTaskLasso) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_fit_returns_self(MultiTaskLasso) ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/linear_model/coordinate_descent.py:1778: ConvergenceWarning: Objective did not converge, you might want to increase the number of iterations
ConvergenceWarning)
ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_empty_data_messages(MultiTaskLasso) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_pipeline_consistency(MultiTaskLasso) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_nan_inf(MultiTaskLasso) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_overwrite_params(MultiTaskLasso) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimator_sparse_data(MultiTaskLasso) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_pickle(MultiTaskLasso) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressors_train(MultiTaskLasso) ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/linear_model/coordinate_descent.py:1778: ConvergenceWarning: Objective did not converge, you might want to increase the number of iterations
ConvergenceWarning)
ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressor_data_not_an_array(MultiTaskLasso) ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/linear_model/coordinate_descent.py:1778: ConvergenceWarning: Objective did not converge, you might want to increase the number of iterations
ConvergenceWarning)
ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_partial_fit_n_features(MultiTaskLasso) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressors_no_decision_function(MultiTaskLasso) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_supervised_y_2d(MultiTaskLasso) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_supervised_y_no_nan(MultiTaskLasso) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressors_int(MultiTaskLasso) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_unfitted(MultiTaskLasso) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_non_transformer_estimators_n_iter(MultiTaskLasso) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_predict1d(MultiTaskLasso) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1sample(MultiTaskLasso) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1feature(MultiTaskLasso) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1feature(MultiTaskLasso) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1sample(MultiTaskLasso) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_get_params_invariance(MultiTaskLasso) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dict_unchanged(MultiTaskLasso) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dont_overwrite_parameters(MultiTaskLasso) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_no_fit_attributes_set_in_init(MultiTaskLassoCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_dtypes(MultiTaskLassoCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit_score_takes_y(MultiTaskLassoCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dtype_object(MultiTaskLassoCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_pandas_series(MultiTaskLassoCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_list(MultiTaskLassoCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_fit_returns_self(MultiTaskLassoCV) ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/linear_model/coordinate_descent.py:491: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
ConvergenceWarning)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/linear_model/coordinate_descent.py:1778: ConvergenceWarning: Objective did not converge, you might want to increase the number of iterations
ConvergenceWarning)
ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_empty_data_messages(MultiTaskLassoCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_pipeline_consistency(MultiTaskLassoCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_nan_inf(MultiTaskLassoCV) ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/linear_model/coordinate_descent.py:491: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
ConvergenceWarning)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/linear_model/coordinate_descent.py:491: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
ConvergenceWarning)
ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_overwrite_params(MultiTaskLassoCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimator_sparse_data(MultiTaskLassoCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_pickle(MultiTaskLassoCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressors_train(MultiTaskLassoCV) ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/linear_model/coordinate_descent.py:491: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
ConvergenceWarning)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/linear_model/coordinate_descent.py:1778: ConvergenceWarning: Objective did not converge, you might want to increase the number of iterations
ConvergenceWarning)
ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressor_data_not_an_array(MultiTaskLassoCV) ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/linear_model/coordinate_descent.py:491: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
ConvergenceWarning)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/linear_model/coordinate_descent.py:1778: ConvergenceWarning: Objective did not converge, you might want to increase the number of iterations
ConvergenceWarning)
ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_partial_fit_n_features(MultiTaskLassoCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressors_no_decision_function(MultiTaskLassoCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_supervised_y_2d(MultiTaskLassoCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_supervised_y_no_nan(MultiTaskLassoCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressors_int(MultiTaskLassoCV) ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/linear_model/coordinate_descent.py:491: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
ConvergenceWarning)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/linear_model/coordinate_descent.py:1778: ConvergenceWarning: Objective did not converge, you might want to increase the number of iterations
ConvergenceWarning)
ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_unfitted(MultiTaskLassoCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_non_transformer_estimators_n_iter(MultiTaskLassoCV) ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/linear_model/coordinate_descent.py:491: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
ConvergenceWarning)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/linear_model/coordinate_descent.py:1778: ConvergenceWarning: Objective did not converge, you might want to increase the number of iterations
ConvergenceWarning)
ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_predict1d(MultiTaskLassoCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1sample(MultiTaskLassoCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1feature(MultiTaskLassoCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1feature(MultiTaskLassoCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1sample(MultiTaskLassoCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_get_params_invariance(MultiTaskLassoCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dict_unchanged(MultiTaskLassoCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dont_overwrite_parameters(MultiTaskLassoCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_no_fit_attributes_set_in_init(MultinomialNB) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_dtypes(MultinomialNB) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit_score_takes_y(MultinomialNB) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dtype_object(MultinomialNB) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_pandas_series(MultinomialNB) ... SKIP: pandas is not installed: not testing for input of type pandas.Series to class weight.
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_list(MultinomialNB) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_fit_returns_self(MultinomialNB) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_empty_data_messages(MultinomialNB) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_pipeline_consistency(MultinomialNB) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_nan_inf(MultinomialNB) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_overwrite_params(MultinomialNB) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimator_sparse_data(MultinomialNB) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_pickle(MultinomialNB) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_classifier_data_not_an_array(MultinomialNB) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_classifiers_one_label(MultinomialNB) ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/naive_bayes.py:461: RuntimeWarning: divide by zero encountered in log
self.class_log_prior_ = (np.log(self.class_count_) -
ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_classifiers_classes(MultinomialNB) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_partial_fit_n_features(MultinomialNB) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_classifiers_train(MultinomialNB) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_classifiers_regression_target(MultinomialNB) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_unfitted(MultinomialNB) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_non_transformer_estimators_n_iter(MultinomialNB) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_decision_proba_consistency(MultinomialNB) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_predict1d(MultinomialNB) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1sample(MultinomialNB) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1feature(MultinomialNB) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1feature(MultinomialNB) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1sample(MultinomialNB) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_get_params_invariance(MultinomialNB) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dict_unchanged(MultinomialNB) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dont_overwrite_parameters(MultinomialNB) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_no_fit_attributes_set_in_init(NMF) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_dtypes(NMF) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit_score_takes_y(NMF) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dtype_object(NMF) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_pandas_series(NMF) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_list(NMF) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_fit_returns_self(NMF) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_empty_data_messages(NMF) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_pipeline_consistency(NMF) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_nan_inf(NMF) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_overwrite_params(NMF) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimator_sparse_data(NMF) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_pickle(NMF) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformer_data_not_an_array(NMF) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformer_general(NMF) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformers_unfitted(NMF) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformer_n_iter(NMF) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_predict1d(NMF) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1sample(NMF) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1feature(NMF) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1feature(NMF) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1sample(NMF) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_get_params_invariance(NMF) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dict_unchanged(NMF) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dont_overwrite_parameters(NMF) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_no_fit_attributes_set_in_init(NearestCentroid) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_dtypes(NearestCentroid) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit_score_takes_y(NearestCentroid) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dtype_object(NearestCentroid) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_pandas_series(NearestCentroid) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_list(NearestCentroid) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_fit_returns_self(NearestCentroid) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_empty_data_messages(NearestCentroid) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_pipeline_consistency(NearestCentroid) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_nan_inf(NearestCentroid) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_overwrite_params(NearestCentroid) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimator_sparse_data(NearestCentroid) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_pickle(NearestCentroid) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_classifier_data_not_an_array(NearestCentroid) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_classifiers_one_label(NearestCentroid) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_classifiers_classes(NearestCentroid) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_partial_fit_n_features(NearestCentroid) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_classifiers_train(NearestCentroid) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_classifiers_regression_target(NearestCentroid) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_supervised_y_2d(NearestCentroid) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_unfitted(NearestCentroid) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_non_transformer_estimators_n_iter(NearestCentroid) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_decision_proba_consistency(NearestCentroid) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_predict1d(NearestCentroid) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1sample(NearestCentroid) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1feature(NearestCentroid) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1feature(NearestCentroid) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1sample(NearestCentroid) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_get_params_invariance(NearestCentroid) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dict_unchanged(NearestCentroid) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dont_overwrite_parameters(NearestCentroid) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_no_fit_attributes_set_in_init(NearestNeighbors) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_dtypes(NearestNeighbors) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit_score_takes_y(NearestNeighbors) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dtype_object(NearestNeighbors) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_pandas_series(NearestNeighbors) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_list(NearestNeighbors) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_fit_returns_self(NearestNeighbors) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_empty_data_messages(NearestNeighbors) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_pipeline_consistency(NearestNeighbors) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_nan_inf(NearestNeighbors) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_overwrite_params(NearestNeighbors) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimator_sparse_data(NearestNeighbors) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_pickle(NearestNeighbors) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_predict1d(NearestNeighbors) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1sample(NearestNeighbors) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1feature(NearestNeighbors) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1feature(NearestNeighbors) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1sample(NearestNeighbors) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_get_params_invariance(NearestNeighbors) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dict_unchanged(NearestNeighbors) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dont_overwrite_parameters(NearestNeighbors) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_no_fit_attributes_set_in_init(Normalizer) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_dtypes(Normalizer) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit_score_takes_y(Normalizer) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dtype_object(Normalizer) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_pandas_series(Normalizer) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_list(Normalizer) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_fit_returns_self(Normalizer) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_empty_data_messages(Normalizer) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_pipeline_consistency(Normalizer) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_nan_inf(Normalizer) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_overwrite_params(Normalizer) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimator_sparse_data(Normalizer) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_pickle(Normalizer) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformer_n_iter(Normalizer) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_predict1d(Normalizer) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1sample(Normalizer) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1feature(Normalizer) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1feature(Normalizer) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1sample(Normalizer) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_get_params_invariance(Normalizer) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dict_unchanged(Normalizer) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dont_overwrite_parameters(Normalizer) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_no_fit_attributes_set_in_init(NuSVC) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_dtypes(NuSVC) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit_score_takes_y(NuSVC) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dtype_object(NuSVC) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_pandas_series(NuSVC) ... SKIP: pandas is not installed: not testing for input of type pandas.Series to class weight.
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_list(NuSVC) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_fit_returns_self(NuSVC) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_empty_data_messages(NuSVC) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_pipeline_consistency(NuSVC) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_nan_inf(NuSVC) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_overwrite_params(NuSVC) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimator_sparse_data(NuSVC) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_pickle(NuSVC) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_classifier_data_not_an_array(NuSVC) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_classifiers_one_label(NuSVC) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_classifiers_classes(NuSVC) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_partial_fit_n_features(NuSVC) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_classifiers_train(NuSVC) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_classifiers_regression_target(NuSVC) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_supervised_y_2d(NuSVC) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_unfitted(NuSVC) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_class_weight_classifiers(NuSVC) ... SKIP
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_non_transformer_estimators_n_iter(NuSVC) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_decision_proba_consistency(NuSVC) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_predict1d(NuSVC) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1sample(NuSVC) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1feature(NuSVC) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1feature(NuSVC) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1sample(NuSVC) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_get_params_invariance(NuSVC) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dict_unchanged(NuSVC) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dont_overwrite_parameters(NuSVC) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_no_fit_attributes_set_in_init(NuSVR) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_dtypes(NuSVR) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit_score_takes_y(NuSVR) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dtype_object(NuSVR) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_pandas_series(NuSVR) ... SKIP: pandas is not installed: not testing for input of type pandas.Series to class weight.
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_list(NuSVR) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_fit_returns_self(NuSVR) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_empty_data_messages(NuSVR) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_pipeline_consistency(NuSVR) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_nan_inf(NuSVR) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_overwrite_params(NuSVR) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimator_sparse_data(NuSVR) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_pickle(NuSVR) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressors_train(NuSVR) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressor_data_not_an_array(NuSVR) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_partial_fit_n_features(NuSVR) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressors_no_decision_function(NuSVR) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_supervised_y_2d(NuSVR) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_supervised_y_no_nan(NuSVR) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressors_int(NuSVR) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_unfitted(NuSVR) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_non_transformer_estimators_n_iter(NuSVR) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_predict1d(NuSVR) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1sample(NuSVR) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1feature(NuSVR) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1feature(NuSVR) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1sample(NuSVR) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_get_params_invariance(NuSVR) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dict_unchanged(NuSVR) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dont_overwrite_parameters(NuSVR) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_no_fit_attributes_set_in_init(Nystroem) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_dtypes(Nystroem) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit_score_takes_y(Nystroem) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dtype_object(Nystroem) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_pandas_series(Nystroem) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_list(Nystroem) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_fit_returns_self(Nystroem) ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/kernel_approximation.py:470: UserWarning: n_components > n_samples. This is not possible.
n_components was set to n_samples, which results in inefficient evaluation of the full kernel.
warnings.warn("n_components > n_samples. This is not possible.\n"
ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_empty_data_messages(Nystroem) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_pipeline_consistency(Nystroem) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_nan_inf(Nystroem) ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/kernel_approximation.py:470: UserWarning: n_components > n_samples. This is not possible.
n_components was set to n_samples, which results in inefficient evaluation of the full kernel.
warnings.warn("n_components > n_samples. This is not possible.\n"
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/kernel_approximation.py:470: UserWarning: n_components > n_samples. This is not possible.
n_components was set to n_samples, which results in inefficient evaluation of the full kernel.
warnings.warn("n_components > n_samples. This is not possible.\n"
ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_overwrite_params(Nystroem) ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/kernel_approximation.py:470: UserWarning: n_components > n_samples. This is not possible.
n_components was set to n_samples, which results in inefficient evaluation of the full kernel.
warnings.warn("n_components > n_samples. This is not possible.\n"
ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimator_sparse_data(Nystroem) ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/kernel_approximation.py:470: UserWarning: n_components > n_samples. This is not possible.
n_components was set to n_samples, which results in inefficient evaluation of the full kernel.
warnings.warn("n_components > n_samples. This is not possible.\n"
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/kernel_approximation.py:470: UserWarning: n_components > n_samples. This is not possible.
n_components was set to n_samples, which results in inefficient evaluation of the full kernel.
warnings.warn("n_components > n_samples. This is not possible.\n"
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/kernel_approximation.py:470: UserWarning: n_components > n_samples. This is not possible.
n_components was set to n_samples, which results in inefficient evaluation of the full kernel.
warnings.warn("n_components > n_samples. This is not possible.\n"
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/kernel_approximation.py:470: UserWarning: n_components > n_samples. This is not possible.
n_components was set to n_samples, which results in inefficient evaluation of the full kernel.
warnings.warn("n_components > n_samples. This is not possible.\n"
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/kernel_approximation.py:470: UserWarning: n_components > n_samples. This is not possible.
n_components was set to n_samples, which results in inefficient evaluation of the full kernel.
warnings.warn("n_components > n_samples. This is not possible.\n"
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/kernel_approximation.py:470: UserWarning: n_components > n_samples. This is not possible.
n_components was set to n_samples, which results in inefficient evaluation of the full kernel.
warnings.warn("n_components > n_samples. This is not possible.\n"
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/kernel_approximation.py:470: UserWarning: n_components > n_samples. This is not possible.
n_components was set to n_samples, which results in inefficient evaluation of the full kernel.
warnings.warn("n_components > n_samples. This is not possible.\n"
ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_pickle(Nystroem) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformer_data_not_an_array(Nystroem) ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/kernel_approximation.py:470: UserWarning: n_components > n_samples. This is not possible.
n_components was set to n_samples, which results in inefficient evaluation of the full kernel.
warnings.warn("n_components > n_samples. This is not possible.\n"
ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformer_general(Nystroem) ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/kernel_approximation.py:470: UserWarning: n_components > n_samples. This is not possible.
n_components was set to n_samples, which results in inefficient evaluation of the full kernel.
warnings.warn("n_components > n_samples. This is not possible.\n"
ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformers_unfitted(Nystroem) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformer_n_iter(Nystroem) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_predict1d(Nystroem) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1sample(Nystroem) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1feature(Nystroem) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1feature(Nystroem) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1sample(Nystroem) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_get_params_invariance(Nystroem) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dict_unchanged(Nystroem) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dont_overwrite_parameters(Nystroem) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_no_fit_attributes_set_in_init(OAS) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_dtypes(OAS) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit_score_takes_y(OAS) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dtype_object(OAS) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_pandas_series(OAS) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_list(OAS) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_fit_returns_self(OAS) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_empty_data_messages(OAS) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_pipeline_consistency(OAS) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_nan_inf(OAS) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_overwrite_params(OAS) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimator_sparse_data(OAS) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_pickle(OAS) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_predict1d(OAS) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1sample(OAS) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1feature(OAS) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1feature(OAS) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1sample(OAS) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_get_params_invariance(OAS) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dict_unchanged(OAS) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dont_overwrite_parameters(OAS) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_no_fit_attributes_set_in_init(OneClassSVM) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_dtypes(OneClassSVM) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit_score_takes_y(OneClassSVM) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dtype_object(OneClassSVM) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_pandas_series(OneClassSVM) ... SKIP: pandas is not installed: not testing for input of type pandas.Series to class weight.
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_list(OneClassSVM) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_fit_returns_self(OneClassSVM) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_empty_data_messages(OneClassSVM) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_pipeline_consistency(OneClassSVM) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_nan_inf(OneClassSVM) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_overwrite_params(OneClassSVM) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimator_sparse_data(OneClassSVM) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_pickle(OneClassSVM) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_predict1d(OneClassSVM) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1sample(OneClassSVM) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1feature(OneClassSVM) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1feature(OneClassSVM) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1sample(OneClassSVM) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_get_params_invariance(OneClassSVM) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dict_unchanged(OneClassSVM) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dont_overwrite_parameters(OneClassSVM) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_no_fit_attributes_set_in_init(OrthogonalMatchingPursuit) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_dtypes(OrthogonalMatchingPursuit) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit_score_takes_y(OrthogonalMatchingPursuit) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dtype_object(OrthogonalMatchingPursuit) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_pandas_series(OrthogonalMatchingPursuit) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_list(OrthogonalMatchingPursuit) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_fit_returns_self(OrthogonalMatchingPursuit) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_empty_data_messages(OrthogonalMatchingPursuit) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_pipeline_consistency(OrthogonalMatchingPursuit) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_nan_inf(OrthogonalMatchingPursuit) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_overwrite_params(OrthogonalMatchingPursuit) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimator_sparse_data(OrthogonalMatchingPursuit) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_pickle(OrthogonalMatchingPursuit) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressors_train(OrthogonalMatchingPursuit) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressor_data_not_an_array(OrthogonalMatchingPursuit) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_partial_fit_n_features(OrthogonalMatchingPursuit) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressors_no_decision_function(OrthogonalMatchingPursuit) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_supervised_y_2d(OrthogonalMatchingPursuit) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_supervised_y_no_nan(OrthogonalMatchingPursuit) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressors_int(OrthogonalMatchingPursuit) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_unfitted(OrthogonalMatchingPursuit) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_non_transformer_estimators_n_iter(OrthogonalMatchingPursuit) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_predict1d(OrthogonalMatchingPursuit) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1sample(OrthogonalMatchingPursuit) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1feature(OrthogonalMatchingPursuit) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1feature(OrthogonalMatchingPursuit) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1sample(OrthogonalMatchingPursuit) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_get_params_invariance(OrthogonalMatchingPursuit) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dict_unchanged(OrthogonalMatchingPursuit) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dont_overwrite_parameters(OrthogonalMatchingPursuit) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_no_fit_attributes_set_in_init(OrthogonalMatchingPursuitCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_dtypes(OrthogonalMatchingPursuitCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit_score_takes_y(OrthogonalMatchingPursuitCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dtype_object(OrthogonalMatchingPursuitCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_pandas_series(OrthogonalMatchingPursuitCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_list(OrthogonalMatchingPursuitCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_fit_returns_self(OrthogonalMatchingPursuitCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_empty_data_messages(OrthogonalMatchingPursuitCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_pipeline_consistency(OrthogonalMatchingPursuitCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_nan_inf(OrthogonalMatchingPursuitCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_overwrite_params(OrthogonalMatchingPursuitCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimator_sparse_data(OrthogonalMatchingPursuitCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_pickle(OrthogonalMatchingPursuitCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressors_train(OrthogonalMatchingPursuitCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressor_data_not_an_array(OrthogonalMatchingPursuitCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_partial_fit_n_features(OrthogonalMatchingPursuitCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressors_no_decision_function(OrthogonalMatchingPursuitCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_supervised_y_2d(OrthogonalMatchingPursuitCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_supervised_y_no_nan(OrthogonalMatchingPursuitCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressors_int(OrthogonalMatchingPursuitCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_unfitted(OrthogonalMatchingPursuitCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_non_transformer_estimators_n_iter(OrthogonalMatchingPursuitCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_predict1d(OrthogonalMatchingPursuitCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1sample(OrthogonalMatchingPursuitCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1feature(OrthogonalMatchingPursuitCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1feature(OrthogonalMatchingPursuitCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1sample(OrthogonalMatchingPursuitCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_get_params_invariance(OrthogonalMatchingPursuitCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dict_unchanged(OrthogonalMatchingPursuitCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dont_overwrite_parameters(OrthogonalMatchingPursuitCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_no_fit_attributes_set_in_init(PCA) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_dtypes(PCA) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit_score_takes_y(PCA) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dtype_object(PCA) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_pandas_series(PCA) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_list(PCA) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_fit_returns_self(PCA) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_empty_data_messages(PCA) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_pipeline_consistency(PCA) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_nan_inf(PCA) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_overwrite_params(PCA) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimator_sparse_data(PCA) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_pickle(PCA) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformer_data_not_an_array(PCA) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformer_general(PCA) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformers_unfitted(PCA) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformer_n_iter(PCA) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_predict1d(PCA) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1sample(PCA) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1feature(PCA) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1feature(PCA) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1sample(PCA) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_get_params_invariance(PCA) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dict_unchanged(PCA) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dont_overwrite_parameters(PCA) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_no_fit_attributes_set_in_init(PLSCanonical) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_dtypes(PLSCanonical) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit_score_takes_y(PLSCanonical) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dtype_object(PLSCanonical) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_pandas_series(PLSCanonical) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_list(PLSCanonical) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_fit_returns_self(PLSCanonical) ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cross_decomposition/pls_.py:287: UserWarning: Y residual constant at iteration 1
warnings.warn('Y residual constant at iteration %s' % k)
ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_empty_data_messages(PLSCanonical) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_nan_inf(PLSCanonical) ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cross_decomposition/pls_.py:287: UserWarning: Y residual constant at iteration 1
warnings.warn('Y residual constant at iteration %s' % k)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cross_decomposition/pls_.py:287: UserWarning: Y residual constant at iteration 1
warnings.warn('Y residual constant at iteration %s' % k)
ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_overwrite_params(PLSCanonical) ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cross_decomposition/pls_.py:287: UserWarning: Y residual constant at iteration 1
warnings.warn('Y residual constant at iteration %s' % k)
ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimator_sparse_data(PLSCanonical) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_pickle(PLSCanonical) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressors_train(PLSCanonical) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressor_data_not_an_array(PLSCanonical) ... SKIP
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_partial_fit_n_features(PLSCanonical) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressors_no_decision_function(PLSCanonical) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_supervised_y_2d(PLSCanonical) ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cross_decomposition/pls_.py:287: UserWarning: Y residual constant at iteration 1
warnings.warn('Y residual constant at iteration %s' % k)
ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_supervised_y_no_nan(PLSCanonical) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressors_int(PLSCanonical) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_unfitted(PLSCanonical) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_non_transformer_estimators_n_iter(PLSCanonical) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformer_general(PLSCanonical) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformers_unfitted(PLSCanonical) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformer_n_iter(PLSCanonical) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_predict1d(PLSCanonical) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1sample(PLSCanonical) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1feature(PLSCanonical) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1feature(PLSCanonical) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1sample(PLSCanonical) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_get_params_invariance(PLSCanonical) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dict_unchanged(PLSCanonical) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dont_overwrite_parameters(PLSCanonical) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_no_fit_attributes_set_in_init(PLSRegression) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_dtypes(PLSRegression) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit_score_takes_y(PLSRegression) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dtype_object(PLSRegression) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_pandas_series(PLSRegression) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_list(PLSRegression) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_fit_returns_self(PLSRegression) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_empty_data_messages(PLSRegression) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_nan_inf(PLSRegression) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_overwrite_params(PLSRegression) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimator_sparse_data(PLSRegression) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_pickle(PLSRegression) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressors_train(PLSRegression) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressor_data_not_an_array(PLSRegression) ... SKIP
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_partial_fit_n_features(PLSRegression) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressors_no_decision_function(PLSRegression) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_supervised_y_2d(PLSRegression) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_supervised_y_no_nan(PLSRegression) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressors_int(PLSRegression) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_unfitted(PLSRegression) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_non_transformer_estimators_n_iter(PLSRegression) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformer_general(PLSRegression) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformers_unfitted(PLSRegression) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformer_n_iter(PLSRegression) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_predict1d(PLSRegression) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1sample(PLSRegression) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1feature(PLSRegression) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1feature(PLSRegression) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1sample(PLSRegression) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_get_params_invariance(PLSRegression) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dict_unchanged(PLSRegression) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dont_overwrite_parameters(PLSRegression) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_no_fit_attributes_set_in_init(PLSSVD) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_dtypes(PLSSVD) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit_score_takes_y(PLSSVD) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dtype_object(PLSSVD) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_pandas_series(PLSSVD) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_list(PLSSVD) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_fit_returns_self(PLSSVD) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_empty_data_messages(PLSSVD) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_nan_inf(PLSSVD) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_overwrite_params(PLSSVD) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimator_sparse_data(PLSSVD) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_pickle(PLSSVD) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformer_general(PLSSVD) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformers_unfitted(PLSSVD) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformer_n_iter(PLSSVD) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_predict1d(PLSSVD) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1sample(PLSSVD) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1feature(PLSSVD) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1feature(PLSSVD) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1sample(PLSSVD) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_get_params_invariance(PLSSVD) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dict_unchanged(PLSSVD) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dont_overwrite_parameters(PLSSVD) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_no_fit_attributes_set_in_init(PassiveAggressiveClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_dtypes(PassiveAggressiveClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit_score_takes_y(PassiveAggressiveClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dtype_object(PassiveAggressiveClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_pandas_series(PassiveAggressiveClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_list(PassiveAggressiveClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_fit_returns_self(PassiveAggressiveClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_empty_data_messages(PassiveAggressiveClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_pipeline_consistency(PassiveAggressiveClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_nan_inf(PassiveAggressiveClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_overwrite_params(PassiveAggressiveClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sparsify_coefficients(PassiveAggressiveClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimator_sparse_data(PassiveAggressiveClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_pickle(PassiveAggressiveClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_classifier_data_not_an_array(PassiveAggressiveClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_classifiers_one_label(PassiveAggressiveClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_classifiers_classes(PassiveAggressiveClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_partial_fit_n_features(PassiveAggressiveClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_classifiers_train(PassiveAggressiveClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_classifiers_regression_target(PassiveAggressiveClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_supervised_y_2d(PassiveAggressiveClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_unfitted(PassiveAggressiveClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_class_weight_classifiers(PassiveAggressiveClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_non_transformer_estimators_n_iter(PassiveAggressiveClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_decision_proba_consistency(PassiveAggressiveClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_predict1d(PassiveAggressiveClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1sample(PassiveAggressiveClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1feature(PassiveAggressiveClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1feature(PassiveAggressiveClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1sample(PassiveAggressiveClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_get_params_invariance(PassiveAggressiveClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dict_unchanged(PassiveAggressiveClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dont_overwrite_parameters(PassiveAggressiveClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_no_fit_attributes_set_in_init(PassiveAggressiveRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_dtypes(PassiveAggressiveRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit_score_takes_y(PassiveAggressiveRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dtype_object(PassiveAggressiveRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_pandas_series(PassiveAggressiveRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_list(PassiveAggressiveRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_fit_returns_self(PassiveAggressiveRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_empty_data_messages(PassiveAggressiveRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_pipeline_consistency(PassiveAggressiveRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_nan_inf(PassiveAggressiveRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_overwrite_params(PassiveAggressiveRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sparsify_coefficients(PassiveAggressiveRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimator_sparse_data(PassiveAggressiveRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_pickle(PassiveAggressiveRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressors_train(PassiveAggressiveRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressor_data_not_an_array(PassiveAggressiveRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_partial_fit_n_features(PassiveAggressiveRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressors_no_decision_function(PassiveAggressiveRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_supervised_y_2d(PassiveAggressiveRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_supervised_y_no_nan(PassiveAggressiveRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressors_int(PassiveAggressiveRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_unfitted(PassiveAggressiveRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_non_transformer_estimators_n_iter(PassiveAggressiveRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_predict1d(PassiveAggressiveRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1sample(PassiveAggressiveRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1feature(PassiveAggressiveRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1feature(PassiveAggressiveRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1sample(PassiveAggressiveRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_get_params_invariance(PassiveAggressiveRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dict_unchanged(PassiveAggressiveRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dont_overwrite_parameters(PassiveAggressiveRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_no_fit_attributes_set_in_init(Perceptron) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_dtypes(Perceptron) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit_score_takes_y(Perceptron) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dtype_object(Perceptron) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_pandas_series(Perceptron) ... SKIP: pandas is not installed: not testing for input of type pandas.Series to class weight.
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_list(Perceptron) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_fit_returns_self(Perceptron) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_empty_data_messages(Perceptron) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_pipeline_consistency(Perceptron) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_nan_inf(Perceptron) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_overwrite_params(Perceptron) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sparsify_coefficients(Perceptron) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimator_sparse_data(Perceptron) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_pickle(Perceptron) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_classifier_data_not_an_array(Perceptron) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_classifiers_one_label(Perceptron) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_classifiers_classes(Perceptron) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_partial_fit_n_features(Perceptron) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_classifiers_train(Perceptron) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_classifiers_regression_target(Perceptron) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_supervised_y_2d(Perceptron) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_unfitted(Perceptron) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_class_weight_classifiers(Perceptron) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_non_transformer_estimators_n_iter(Perceptron) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_decision_proba_consistency(Perceptron) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_predict1d(Perceptron) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1sample(Perceptron) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1feature(Perceptron) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1feature(Perceptron) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1sample(Perceptron) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_get_params_invariance(Perceptron) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dict_unchanged(Perceptron) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dont_overwrite_parameters(Perceptron) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_no_fit_attributes_set_in_init(QuadraticDiscriminantAnalysis) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_dtypes(QuadraticDiscriminantAnalysis) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit_score_takes_y(QuadraticDiscriminantAnalysis) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dtype_object(QuadraticDiscriminantAnalysis) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_pandas_series(QuadraticDiscriminantAnalysis) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_list(QuadraticDiscriminantAnalysis) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_fit_returns_self(QuadraticDiscriminantAnalysis) ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/discriminant_analysis.py:682: UserWarning: Variables are collinear
warnings.warn("Variables are collinear")
ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_empty_data_messages(QuadraticDiscriminantAnalysis) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_pipeline_consistency(QuadraticDiscriminantAnalysis) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_nan_inf(QuadraticDiscriminantAnalysis) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_overwrite_params(QuadraticDiscriminantAnalysis) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimator_sparse_data(QuadraticDiscriminantAnalysis) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_pickle(QuadraticDiscriminantAnalysis) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_classifier_data_not_an_array(QuadraticDiscriminantAnalysis) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_classifiers_one_label(QuadraticDiscriminantAnalysis) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_classifiers_classes(QuadraticDiscriminantAnalysis) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_partial_fit_n_features(QuadraticDiscriminantAnalysis) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_classifiers_train(QuadraticDiscriminantAnalysis) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_classifiers_regression_target(QuadraticDiscriminantAnalysis) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_supervised_y_2d(QuadraticDiscriminantAnalysis) ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/discriminant_analysis.py:682: UserWarning: Variables are collinear
warnings.warn("Variables are collinear")
ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_unfitted(QuadraticDiscriminantAnalysis) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_non_transformer_estimators_n_iter(QuadraticDiscriminantAnalysis) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_decision_proba_consistency(QuadraticDiscriminantAnalysis) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_predict1d(QuadraticDiscriminantAnalysis) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1sample(QuadraticDiscriminantAnalysis) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1feature(QuadraticDiscriminantAnalysis) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1feature(QuadraticDiscriminantAnalysis) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1sample(QuadraticDiscriminantAnalysis) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_get_params_invariance(QuadraticDiscriminantAnalysis) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dict_unchanged(QuadraticDiscriminantAnalysis) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dont_overwrite_parameters(QuadraticDiscriminantAnalysis) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_no_fit_attributes_set_in_init(QuantileTransformer) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_dtypes(QuantileTransformer) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit_score_takes_y(QuantileTransformer) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dtype_object(QuantileTransformer) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_pandas_series(QuantileTransformer) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_list(QuantileTransformer) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_fit_returns_self(QuantileTransformer) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_empty_data_messages(QuantileTransformer) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_pipeline_consistency(QuantileTransformer) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_nan_inf(QuantileTransformer) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_overwrite_params(QuantileTransformer) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimator_sparse_data(QuantileTransformer) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_pickle(QuantileTransformer) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformer_data_not_an_array(QuantileTransformer) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformer_general(QuantileTransformer) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformers_unfitted(QuantileTransformer) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformer_n_iter(QuantileTransformer) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_predict1d(QuantileTransformer) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1sample(QuantileTransformer) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1feature(QuantileTransformer) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1feature(QuantileTransformer) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1sample(QuantileTransformer) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_get_params_invariance(QuantileTransformer) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dict_unchanged(QuantileTransformer) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dont_overwrite_parameters(QuantileTransformer) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_no_fit_attributes_set_in_init(RANSACRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_dtypes(RANSACRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit_score_takes_y(RANSACRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dtype_object(RANSACRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_pandas_series(RANSACRegressor) ... SKIP: pandas is not installed: not testing for input of type pandas.Series to class weight.
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_list(RANSACRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_fit_returns_self(RANSACRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_empty_data_messages(RANSACRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_pipeline_consistency(RANSACRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_nan_inf(RANSACRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_overwrite_params(RANSACRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimator_sparse_data(RANSACRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_pickle(RANSACRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressors_train(RANSACRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressor_data_not_an_array(RANSACRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_partial_fit_n_features(RANSACRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressors_no_decision_function(RANSACRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_supervised_y_2d(RANSACRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_supervised_y_no_nan(RANSACRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressors_int(RANSACRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_unfitted(RANSACRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_non_transformer_estimators_n_iter(RANSACRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_predict1d(RANSACRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1sample(RANSACRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1feature(RANSACRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1feature(RANSACRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1sample(RANSACRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_get_params_invariance(RANSACRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dict_unchanged(RANSACRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dont_overwrite_parameters(RANSACRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_no_fit_attributes_set_in_init(RBFSampler) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_dtypes(RBFSampler) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit_score_takes_y(RBFSampler) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dtype_object(RBFSampler) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_pandas_series(RBFSampler) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_list(RBFSampler) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_fit_returns_self(RBFSampler) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_empty_data_messages(RBFSampler) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_pipeline_consistency(RBFSampler) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_nan_inf(RBFSampler) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_overwrite_params(RBFSampler) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimator_sparse_data(RBFSampler) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_pickle(RBFSampler) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformer_data_not_an_array(RBFSampler) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformer_general(RBFSampler) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformers_unfitted(RBFSampler) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformer_n_iter(RBFSampler) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_predict1d(RBFSampler) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1sample(RBFSampler) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1feature(RBFSampler) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1feature(RBFSampler) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1sample(RBFSampler) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_get_params_invariance(RBFSampler) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dict_unchanged(RBFSampler) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dont_overwrite_parameters(RBFSampler) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_no_fit_attributes_set_in_init(RadiusNeighborsClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_dtypes(RadiusNeighborsClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit_score_takes_y(RadiusNeighborsClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dtype_object(RadiusNeighborsClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_pandas_series(RadiusNeighborsClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_list(RadiusNeighborsClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_fit_returns_self(RadiusNeighborsClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_empty_data_messages(RadiusNeighborsClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_pipeline_consistency(RadiusNeighborsClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_nan_inf(RadiusNeighborsClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_overwrite_params(RadiusNeighborsClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimator_sparse_data(RadiusNeighborsClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_pickle(RadiusNeighborsClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_classifier_data_not_an_array(RadiusNeighborsClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_classifiers_one_label(RadiusNeighborsClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_classifiers_classes(RadiusNeighborsClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_partial_fit_n_features(RadiusNeighborsClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_classifiers_train(RadiusNeighborsClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_classifiers_regression_target(RadiusNeighborsClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_supervised_y_2d(RadiusNeighborsClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_unfitted(RadiusNeighborsClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_non_transformer_estimators_n_iter(RadiusNeighborsClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_decision_proba_consistency(RadiusNeighborsClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_predict1d(RadiusNeighborsClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1sample(RadiusNeighborsClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1feature(RadiusNeighborsClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1feature(RadiusNeighborsClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1sample(RadiusNeighborsClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_get_params_invariance(RadiusNeighborsClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dict_unchanged(RadiusNeighborsClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dont_overwrite_parameters(RadiusNeighborsClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_no_fit_attributes_set_in_init(RadiusNeighborsRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_dtypes(RadiusNeighborsRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit_score_takes_y(RadiusNeighborsRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dtype_object(RadiusNeighborsRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_pandas_series(RadiusNeighborsRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_list(RadiusNeighborsRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_fit_returns_self(RadiusNeighborsRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_empty_data_messages(RadiusNeighborsRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_pipeline_consistency(RadiusNeighborsRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_nan_inf(RadiusNeighborsRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_overwrite_params(RadiusNeighborsRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimator_sparse_data(RadiusNeighborsRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_pickle(RadiusNeighborsRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressors_train(RadiusNeighborsRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressor_data_not_an_array(RadiusNeighborsRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_partial_fit_n_features(RadiusNeighborsRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressors_no_decision_function(RadiusNeighborsRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_supervised_y_2d(RadiusNeighborsRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_supervised_y_no_nan(RadiusNeighborsRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressors_int(RadiusNeighborsRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_unfitted(RadiusNeighborsRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_non_transformer_estimators_n_iter(RadiusNeighborsRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_predict1d(RadiusNeighborsRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1sample(RadiusNeighborsRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1feature(RadiusNeighborsRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1feature(RadiusNeighborsRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1sample(RadiusNeighborsRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_get_params_invariance(RadiusNeighborsRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dict_unchanged(RadiusNeighborsRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dont_overwrite_parameters(RadiusNeighborsRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_no_fit_attributes_set_in_init(RandomForestClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_dtypes(RandomForestClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit_score_takes_y(RandomForestClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dtype_object(RandomForestClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_pandas_series(RandomForestClassifier) ... SKIP: pandas is not installed: not testing for input of type pandas.Series to class weight.
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_list(RandomForestClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_fit_returns_self(RandomForestClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_empty_data_messages(RandomForestClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_pipeline_consistency(RandomForestClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_nan_inf(RandomForestClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_overwrite_params(RandomForestClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimator_sparse_data(RandomForestClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_pickle(RandomForestClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_classifier_data_not_an_array(RandomForestClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_classifiers_one_label(RandomForestClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_classifiers_classes(RandomForestClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_partial_fit_n_features(RandomForestClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_classifiers_train(RandomForestClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_classifiers_regression_target(RandomForestClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_supervised_y_2d(RandomForestClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_unfitted(RandomForestClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_class_weight_classifiers(RandomForestClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_non_transformer_estimators_n_iter(RandomForestClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_decision_proba_consistency(RandomForestClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_predict1d(RandomForestClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1sample(RandomForestClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1feature(RandomForestClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1feature(RandomForestClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1sample(RandomForestClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_get_params_invariance(RandomForestClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dict_unchanged(RandomForestClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dont_overwrite_parameters(RandomForestClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_no_fit_attributes_set_in_init(RandomForestRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_dtypes(RandomForestRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit_score_takes_y(RandomForestRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dtype_object(RandomForestRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_pandas_series(RandomForestRegressor) ... SKIP: pandas is not installed: not testing for input of type pandas.Series to class weight.
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_list(RandomForestRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_fit_returns_self(RandomForestRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_empty_data_messages(RandomForestRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_pipeline_consistency(RandomForestRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_nan_inf(RandomForestRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_overwrite_params(RandomForestRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimator_sparse_data(RandomForestRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_pickle(RandomForestRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressors_train(RandomForestRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressor_data_not_an_array(RandomForestRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_partial_fit_n_features(RandomForestRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressors_no_decision_function(RandomForestRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_supervised_y_2d(RandomForestRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_supervised_y_no_nan(RandomForestRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressors_int(RandomForestRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_unfitted(RandomForestRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_non_transformer_estimators_n_iter(RandomForestRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_predict1d(RandomForestRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1sample(RandomForestRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1feature(RandomForestRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1feature(RandomForestRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1sample(RandomForestRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_get_params_invariance(RandomForestRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dict_unchanged(RandomForestRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dont_overwrite_parameters(RandomForestRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/deprecation.py:58: DeprecationWarning: Class RandomizedLasso is deprecated; The class RandomizedLasso is deprecated in 0.19 and will be removed in 0.21.
warnings.warn(msg, category=DeprecationWarning)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_no_fit_attributes_set_in_init(RandomizedLasso) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_dtypes(RandomizedLasso) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit_score_takes_y(RandomizedLasso) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dtype_object(RandomizedLasso) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_pandas_series(RandomizedLasso) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_list(RandomizedLasso) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_fit_returns_self(RandomizedLasso) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_empty_data_messages(RandomizedLasso) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_pipeline_consistency(RandomizedLasso) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_nan_inf(RandomizedLasso) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_overwrite_params(RandomizedLasso) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimator_sparse_data(RandomizedLasso) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_pickle(RandomizedLasso) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformer_data_not_an_array(RandomizedLasso) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformer_general(RandomizedLasso) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformers_unfitted(RandomizedLasso) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_predict1d(RandomizedLasso) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1sample(RandomizedLasso) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1feature(RandomizedLasso) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1feature(RandomizedLasso) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1sample(RandomizedLasso) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_get_params_invariance(RandomizedLasso) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dict_unchanged(RandomizedLasso) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dont_overwrite_parameters(RandomizedLasso) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/deprecation.py:58: DeprecationWarning: Class RandomizedLogisticRegression is deprecated; The class RandomizedLogisticRegression is deprecated in 0.19 and will be removed in 0.21.
warnings.warn(msg, category=DeprecationWarning)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_no_fit_attributes_set_in_init(RandomizedLogisticRegression) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_dtypes(RandomizedLogisticRegression) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit_score_takes_y(RandomizedLogisticRegression) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dtype_object(RandomizedLogisticRegression) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_pandas_series(RandomizedLogisticRegression) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_list(RandomizedLogisticRegression) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_fit_returns_self(RandomizedLogisticRegression) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_empty_data_messages(RandomizedLogisticRegression) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_pipeline_consistency(RandomizedLogisticRegression) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_nan_inf(RandomizedLogisticRegression) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_overwrite_params(RandomizedLogisticRegression) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimator_sparse_data(RandomizedLogisticRegression) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_pickle(RandomizedLogisticRegression) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformer_data_not_an_array(RandomizedLogisticRegression) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformer_general(RandomizedLogisticRegression) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformers_unfitted(RandomizedLogisticRegression) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformer_n_iter(RandomizedLogisticRegression) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_predict1d(RandomizedLogisticRegression) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1sample(RandomizedLogisticRegression) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1feature(RandomizedLogisticRegression) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1feature(RandomizedLogisticRegression) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1sample(RandomizedLogisticRegression) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_get_params_invariance(RandomizedLogisticRegression) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dict_unchanged(RandomizedLogisticRegression) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dont_overwrite_parameters(RandomizedLogisticRegression) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/deprecation.py:58: DeprecationWarning: Class RandomizedPCA is deprecated; RandomizedPCA was deprecated in 0.18 and will be removed in 0.20. Use PCA(svd_solver='randomized') instead. The new implementation DOES NOT store whiten ``components_``. Apply transform to get them.
warnings.warn(msg, category=DeprecationWarning)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_no_fit_attributes_set_in_init(RandomizedPCA) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_dtypes(RandomizedPCA) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit_score_takes_y(RandomizedPCA) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dtype_object(RandomizedPCA) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_pandas_series(RandomizedPCA) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_list(RandomizedPCA) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_fit_returns_self(RandomizedPCA) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_empty_data_messages(RandomizedPCA) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_pipeline_consistency(RandomizedPCA) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_nan_inf(RandomizedPCA) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_overwrite_params(RandomizedPCA) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimator_sparse_data(RandomizedPCA) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_pickle(RandomizedPCA) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformer_data_not_an_array(RandomizedPCA) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformer_general(RandomizedPCA) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformers_unfitted(RandomizedPCA) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformer_n_iter(RandomizedPCA) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_predict1d(RandomizedPCA) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1sample(RandomizedPCA) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1feature(RandomizedPCA) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1feature(RandomizedPCA) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1sample(RandomizedPCA) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_get_params_invariance(RandomizedPCA) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dict_unchanged(RandomizedPCA) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dont_overwrite_parameters(RandomizedPCA) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_no_fit_attributes_set_in_init(Ridge) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_dtypes(Ridge) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit_score_takes_y(Ridge) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dtype_object(Ridge) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_pandas_series(Ridge) ... SKIP: pandas is not installed: not testing for input of type pandas.Series to class weight.
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_list(Ridge) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_fit_returns_self(Ridge) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_empty_data_messages(Ridge) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_pipeline_consistency(Ridge) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_nan_inf(Ridge) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_overwrite_params(Ridge) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimator_sparse_data(Ridge) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_pickle(Ridge) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressors_train(Ridge) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressor_data_not_an_array(Ridge) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_partial_fit_n_features(Ridge) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressors_no_decision_function(Ridge) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_supervised_y_2d(Ridge) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_supervised_y_no_nan(Ridge) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressors_int(Ridge) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_unfitted(Ridge) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_non_transformer_estimators_n_iter(Ridge) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_predict1d(Ridge) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1sample(Ridge) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1feature(Ridge) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1feature(Ridge) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1sample(Ridge) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_get_params_invariance(Ridge) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dict_unchanged(Ridge) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dont_overwrite_parameters(Ridge) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_no_fit_attributes_set_in_init(RidgeCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_dtypes(RidgeCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit_score_takes_y(RidgeCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dtype_object(RidgeCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_pandas_series(RidgeCV) ... SKIP: pandas is not installed: not testing for input of type pandas.Series to class weight.
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_list(RidgeCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_fit_returns_self(RidgeCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_empty_data_messages(RidgeCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_pipeline_consistency(RidgeCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_nan_inf(RidgeCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_overwrite_params(RidgeCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimator_sparse_data(RidgeCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_pickle(RidgeCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressors_train(RidgeCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressor_data_not_an_array(RidgeCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_partial_fit_n_features(RidgeCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressors_no_decision_function(RidgeCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_supervised_y_2d(RidgeCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_supervised_y_no_nan(RidgeCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressors_int(RidgeCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_unfitted(RidgeCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_non_transformer_estimators_n_iter(RidgeCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_predict1d(RidgeCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1sample(RidgeCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1feature(RidgeCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1feature(RidgeCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1sample(RidgeCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_get_params_invariance(RidgeCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dict_unchanged(RidgeCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dont_overwrite_parameters(RidgeCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_no_fit_attributes_set_in_init(RidgeClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_dtypes(RidgeClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit_score_takes_y(RidgeClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dtype_object(RidgeClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_pandas_series(RidgeClassifier) ... SKIP: pandas is not installed: not testing for input of type pandas.Series to class weight.
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_list(RidgeClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_fit_returns_self(RidgeClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_empty_data_messages(RidgeClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_pipeline_consistency(RidgeClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_nan_inf(RidgeClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_overwrite_params(RidgeClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimator_sparse_data(RidgeClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_pickle(RidgeClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_classifier_data_not_an_array(RidgeClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_classifiers_one_label(RidgeClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_classifiers_classes(RidgeClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_partial_fit_n_features(RidgeClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_classifiers_train(RidgeClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_classifiers_regression_target(RidgeClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_supervised_y_2d(RidgeClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_unfitted(RidgeClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_class_weight_classifiers(RidgeClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_non_transformer_estimators_n_iter(RidgeClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_decision_proba_consistency(RidgeClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_predict1d(RidgeClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1sample(RidgeClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1feature(RidgeClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1feature(RidgeClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1sample(RidgeClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_get_params_invariance(RidgeClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dict_unchanged(RidgeClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dont_overwrite_parameters(RidgeClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_no_fit_attributes_set_in_init(RidgeClassifierCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_dtypes(RidgeClassifierCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit_score_takes_y(RidgeClassifierCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dtype_object(RidgeClassifierCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_pandas_series(RidgeClassifierCV) ... SKIP: pandas is not installed: not testing for input of type pandas.Series to class weight.
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_list(RidgeClassifierCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_fit_returns_self(RidgeClassifierCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_empty_data_messages(RidgeClassifierCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_pipeline_consistency(RidgeClassifierCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_nan_inf(RidgeClassifierCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_overwrite_params(RidgeClassifierCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimator_sparse_data(RidgeClassifierCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_pickle(RidgeClassifierCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_classifier_data_not_an_array(RidgeClassifierCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_classifiers_one_label(RidgeClassifierCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_classifiers_classes(RidgeClassifierCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_partial_fit_n_features(RidgeClassifierCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_classifiers_train(RidgeClassifierCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_classifiers_regression_target(RidgeClassifierCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_supervised_y_2d(RidgeClassifierCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_unfitted(RidgeClassifierCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_class_weight_classifiers(RidgeClassifierCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_non_transformer_estimators_n_iter(RidgeClassifierCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_decision_proba_consistency(RidgeClassifierCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_predict1d(RidgeClassifierCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1sample(RidgeClassifierCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1feature(RidgeClassifierCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1feature(RidgeClassifierCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1sample(RidgeClassifierCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_get_params_invariance(RidgeClassifierCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dict_unchanged(RidgeClassifierCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dont_overwrite_parameters(RidgeClassifierCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_no_fit_attributes_set_in_init(RobustScaler) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_dtypes(RobustScaler) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit_score_takes_y(RobustScaler) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dtype_object(RobustScaler) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_pandas_series(RobustScaler) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_list(RobustScaler) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_fit_returns_self(RobustScaler) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_empty_data_messages(RobustScaler) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_pipeline_consistency(RobustScaler) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_nan_inf(RobustScaler) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_overwrite_params(RobustScaler) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimator_sparse_data(RobustScaler) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_pickle(RobustScaler) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformer_data_not_an_array(RobustScaler) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformer_general(RobustScaler) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformers_unfitted(RobustScaler) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformer_n_iter(RobustScaler) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_predict1d(RobustScaler) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1sample(RobustScaler) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1feature(RobustScaler) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1feature(RobustScaler) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1sample(RobustScaler) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_get_params_invariance(RobustScaler) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dict_unchanged(RobustScaler) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dont_overwrite_parameters(RobustScaler) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_no_fit_attributes_set_in_init(SGDClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_dtypes(SGDClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit_score_takes_y(SGDClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dtype_object(SGDClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_pandas_series(SGDClassifier) ... SKIP: pandas is not installed: not testing for input of type pandas.Series to class weight.
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_list(SGDClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_fit_returns_self(SGDClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_empty_data_messages(SGDClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_pipeline_consistency(SGDClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_nan_inf(SGDClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_overwrite_params(SGDClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sparsify_coefficients(SGDClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimator_sparse_data(SGDClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_pickle(SGDClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_classifier_data_not_an_array(SGDClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_classifiers_one_label(SGDClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_classifiers_classes(SGDClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_partial_fit_n_features(SGDClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_classifiers_train(SGDClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_classifiers_regression_target(SGDClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_supervised_y_2d(SGDClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_unfitted(SGDClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_class_weight_classifiers(SGDClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_non_transformer_estimators_n_iter(SGDClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_decision_proba_consistency(SGDClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_predict1d(SGDClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1sample(SGDClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1feature(SGDClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1feature(SGDClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1sample(SGDClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_get_params_invariance(SGDClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dict_unchanged(SGDClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dont_overwrite_parameters(SGDClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_no_fit_attributes_set_in_init(SGDRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_dtypes(SGDRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit_score_takes_y(SGDRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dtype_object(SGDRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_pandas_series(SGDRegressor) ... SKIP: pandas is not installed: not testing for input of type pandas.Series to class weight.
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_list(SGDRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_fit_returns_self(SGDRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_empty_data_messages(SGDRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_pipeline_consistency(SGDRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_nan_inf(SGDRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_overwrite_params(SGDRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sparsify_coefficients(SGDRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimator_sparse_data(SGDRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_pickle(SGDRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressors_train(SGDRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressor_data_not_an_array(SGDRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_partial_fit_n_features(SGDRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressors_no_decision_function(SGDRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_supervised_y_2d(SGDRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_supervised_y_no_nan(SGDRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressors_int(SGDRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_unfitted(SGDRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_non_transformer_estimators_n_iter(SGDRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_predict1d(SGDRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1sample(SGDRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1feature(SGDRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1feature(SGDRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1sample(SGDRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_get_params_invariance(SGDRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dict_unchanged(SGDRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dont_overwrite_parameters(SGDRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_no_fit_attributes_set_in_init(SVC) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_dtypes(SVC) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit_score_takes_y(SVC) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dtype_object(SVC) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_pandas_series(SVC) ... SKIP: pandas is not installed: not testing for input of type pandas.Series to class weight.
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_list(SVC) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_fit_returns_self(SVC) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_empty_data_messages(SVC) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_pipeline_consistency(SVC) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_nan_inf(SVC) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_overwrite_params(SVC) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimator_sparse_data(SVC) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_pickle(SVC) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_classifier_data_not_an_array(SVC) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_classifiers_one_label(SVC) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_classifiers_classes(SVC) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_partial_fit_n_features(SVC) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_classifiers_train(SVC) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_classifiers_regression_target(SVC) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_supervised_y_2d(SVC) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_unfitted(SVC) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_class_weight_classifiers(SVC) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_non_transformer_estimators_n_iter(SVC) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_decision_proba_consistency(SVC) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_predict1d(SVC) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1sample(SVC) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1feature(SVC) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1feature(SVC) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1sample(SVC) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_get_params_invariance(SVC) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dict_unchanged(SVC) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dont_overwrite_parameters(SVC) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_no_fit_attributes_set_in_init(SVR) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_dtypes(SVR) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit_score_takes_y(SVR) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dtype_object(SVR) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_pandas_series(SVR) ... SKIP: pandas is not installed: not testing for input of type pandas.Series to class weight.
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_list(SVR) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_fit_returns_self(SVR) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_empty_data_messages(SVR) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_pipeline_consistency(SVR) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_nan_inf(SVR) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_overwrite_params(SVR) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimator_sparse_data(SVR) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_pickle(SVR) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressors_train(SVR) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressor_data_not_an_array(SVR) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_partial_fit_n_features(SVR) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressors_no_decision_function(SVR) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_supervised_y_2d(SVR) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_supervised_y_no_nan(SVR) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressors_int(SVR) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_unfitted(SVR) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_non_transformer_estimators_n_iter(SVR) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_predict1d(SVR) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1sample(SVR) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1feature(SVR) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1feature(SVR) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1sample(SVR) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_get_params_invariance(SVR) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dict_unchanged(SVR) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dont_overwrite_parameters(SVR) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_no_fit_attributes_set_in_init(SelectFdr) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_dtypes(SelectFdr) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit_score_takes_y(SelectFdr) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dtype_object(SelectFdr) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_pandas_series(SelectFdr) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_list(SelectFdr) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_fit_returns_self(SelectFdr) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_empty_data_messages(SelectFdr) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_pipeline_consistency(SelectFdr) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_nan_inf(SelectFdr) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_overwrite_params(SelectFdr) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimator_sparse_data(SelectFdr) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_pickle(SelectFdr) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformer_data_not_an_array(SelectFdr) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformer_general(SelectFdr) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformers_unfitted(SelectFdr) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformer_n_iter(SelectFdr) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_predict1d(SelectFdr) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1sample(SelectFdr) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1feature(SelectFdr) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1feature(SelectFdr) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1sample(SelectFdr) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_get_params_invariance(SelectFdr) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dict_unchanged(SelectFdr) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dont_overwrite_parameters(SelectFdr) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_no_fit_attributes_set_in_init(SelectFpr) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_dtypes(SelectFpr) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit_score_takes_y(SelectFpr) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dtype_object(SelectFpr) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_pandas_series(SelectFpr) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_list(SelectFpr) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_fit_returns_self(SelectFpr) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_empty_data_messages(SelectFpr) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_pipeline_consistency(SelectFpr) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_nan_inf(SelectFpr) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_overwrite_params(SelectFpr) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimator_sparse_data(SelectFpr) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_pickle(SelectFpr) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformer_data_not_an_array(SelectFpr) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformer_general(SelectFpr) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformers_unfitted(SelectFpr) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformer_n_iter(SelectFpr) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_predict1d(SelectFpr) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1sample(SelectFpr) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1feature(SelectFpr) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1feature(SelectFpr) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1sample(SelectFpr) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_get_params_invariance(SelectFpr) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dict_unchanged(SelectFpr) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dont_overwrite_parameters(SelectFpr) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_no_fit_attributes_set_in_init(SelectFwe) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_dtypes(SelectFwe) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit_score_takes_y(SelectFwe) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dtype_object(SelectFwe) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_pandas_series(SelectFwe) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_list(SelectFwe) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_fit_returns_self(SelectFwe) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_empty_data_messages(SelectFwe) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_pipeline_consistency(SelectFwe) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_nan_inf(SelectFwe) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_overwrite_params(SelectFwe) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimator_sparse_data(SelectFwe) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_pickle(SelectFwe) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformer_data_not_an_array(SelectFwe) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformer_general(SelectFwe) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformers_unfitted(SelectFwe) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformer_n_iter(SelectFwe) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_predict1d(SelectFwe) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1sample(SelectFwe) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1feature(SelectFwe) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1feature(SelectFwe) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1sample(SelectFwe) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_get_params_invariance(SelectFwe) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dict_unchanged(SelectFwe) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dont_overwrite_parameters(SelectFwe) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_no_fit_attributes_set_in_init(SelectKBest) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_dtypes(SelectKBest) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit_score_takes_y(SelectKBest) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dtype_object(SelectKBest) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_pandas_series(SelectKBest) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_list(SelectKBest) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_fit_returns_self(SelectKBest) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_empty_data_messages(SelectKBest) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_pipeline_consistency(SelectKBest) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_nan_inf(SelectKBest) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_overwrite_params(SelectKBest) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimator_sparse_data(SelectKBest) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_pickle(SelectKBest) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformer_data_not_an_array(SelectKBest) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformer_general(SelectKBest) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformers_unfitted(SelectKBest) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformer_n_iter(SelectKBest) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_predict1d(SelectKBest) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1sample(SelectKBest) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1feature(SelectKBest) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1feature(SelectKBest) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1sample(SelectKBest) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_get_params_invariance(SelectKBest) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dict_unchanged(SelectKBest) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dont_overwrite_parameters(SelectKBest) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_no_fit_attributes_set_in_init(SelectPercentile) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_dtypes(SelectPercentile) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit_score_takes_y(SelectPercentile) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dtype_object(SelectPercentile) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_pandas_series(SelectPercentile) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_list(SelectPercentile) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_fit_returns_self(SelectPercentile) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_empty_data_messages(SelectPercentile) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_pipeline_consistency(SelectPercentile) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_nan_inf(SelectPercentile) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_overwrite_params(SelectPercentile) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimator_sparse_data(SelectPercentile) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_pickle(SelectPercentile) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformer_data_not_an_array(SelectPercentile) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformer_general(SelectPercentile) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformers_unfitted(SelectPercentile) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformer_n_iter(SelectPercentile) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_predict1d(SelectPercentile) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1sample(SelectPercentile) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1feature(SelectPercentile) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1feature(SelectPercentile) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1sample(SelectPercentile) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_get_params_invariance(SelectPercentile) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dict_unchanged(SelectPercentile) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dont_overwrite_parameters(SelectPercentile) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_no_fit_attributes_set_in_init(ShrunkCovariance) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_dtypes(ShrunkCovariance) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit_score_takes_y(ShrunkCovariance) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dtype_object(ShrunkCovariance) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_pandas_series(ShrunkCovariance) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_list(ShrunkCovariance) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_fit_returns_self(ShrunkCovariance) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_empty_data_messages(ShrunkCovariance) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_pipeline_consistency(ShrunkCovariance) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_nan_inf(ShrunkCovariance) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_overwrite_params(ShrunkCovariance) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimator_sparse_data(ShrunkCovariance) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_pickle(ShrunkCovariance) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_predict1d(ShrunkCovariance) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1sample(ShrunkCovariance) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1feature(ShrunkCovariance) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1feature(ShrunkCovariance) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1sample(ShrunkCovariance) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_get_params_invariance(ShrunkCovariance) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dict_unchanged(ShrunkCovariance) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dont_overwrite_parameters(ShrunkCovariance) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_no_fit_attributes_set_in_init(SkewedChi2Sampler) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_dtypes(SkewedChi2Sampler) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit_score_takes_y(SkewedChi2Sampler) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dtype_object(SkewedChi2Sampler) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_pandas_series(SkewedChi2Sampler) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_list(SkewedChi2Sampler) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_fit_returns_self(SkewedChi2Sampler) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_empty_data_messages(SkewedChi2Sampler) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_pipeline_consistency(SkewedChi2Sampler) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_nan_inf(SkewedChi2Sampler) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_overwrite_params(SkewedChi2Sampler) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimator_sparse_data(SkewedChi2Sampler) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_pickle(SkewedChi2Sampler) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformer_data_not_an_array(SkewedChi2Sampler) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformer_general(SkewedChi2Sampler) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformers_unfitted(SkewedChi2Sampler) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformer_n_iter(SkewedChi2Sampler) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_predict1d(SkewedChi2Sampler) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1sample(SkewedChi2Sampler) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1feature(SkewedChi2Sampler) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1feature(SkewedChi2Sampler) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1sample(SkewedChi2Sampler) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_get_params_invariance(SkewedChi2Sampler) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dict_unchanged(SkewedChi2Sampler) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dont_overwrite_parameters(SkewedChi2Sampler) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_no_fit_attributes_set_in_init(SparsePCA) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_dtypes(SparsePCA) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit_score_takes_y(SparsePCA) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dtype_object(SparsePCA) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_pandas_series(SparsePCA) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_list(SparsePCA) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_fit_returns_self(SparsePCA) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_empty_data_messages(SparsePCA) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_pipeline_consistency(SparsePCA) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_nan_inf(SparsePCA) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_overwrite_params(SparsePCA) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimator_sparse_data(SparsePCA) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_pickle(SparsePCA) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformer_data_not_an_array(SparsePCA) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformer_general(SparsePCA) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformers_unfitted(SparsePCA) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformer_n_iter(SparsePCA) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_predict1d(SparsePCA) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1sample(SparsePCA) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1feature(SparsePCA) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1feature(SparsePCA) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1sample(SparsePCA) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_get_params_invariance(SparsePCA) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dict_unchanged(SparsePCA) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dont_overwrite_parameters(SparsePCA) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_no_fit_attributes_set_in_init(SparseRandomProjection) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_dtypes(SparseRandomProjection) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit_score_takes_y(SparseRandomProjection) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dtype_object(SparseRandomProjection) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_pandas_series(SparseRandomProjection) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_list(SparseRandomProjection) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_fit_returns_self(SparseRandomProjection) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_empty_data_messages(SparseRandomProjection) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_pipeline_consistency(SparseRandomProjection) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_nan_inf(SparseRandomProjection) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_overwrite_params(SparseRandomProjection) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimator_sparse_data(SparseRandomProjection) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_pickle(SparseRandomProjection) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformer_data_not_an_array(SparseRandomProjection) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformer_general(SparseRandomProjection) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformers_unfitted(SparseRandomProjection) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformer_n_iter(SparseRandomProjection) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_predict1d(SparseRandomProjection) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1sample(SparseRandomProjection) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1feature(SparseRandomProjection) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1feature(SparseRandomProjection) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1sample(SparseRandomProjection) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_get_params_invariance(SparseRandomProjection) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dict_unchanged(SparseRandomProjection) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dont_overwrite_parameters(SparseRandomProjection) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_no_fit_attributes_set_in_init(SpectralClustering) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_dtypes(SpectralClustering) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit_score_takes_y(SpectralClustering) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dtype_object(SpectralClustering) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_pandas_series(SpectralClustering) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_list(SpectralClustering) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_fit_returns_self(SpectralClustering) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_empty_data_messages(SpectralClustering) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_pipeline_consistency(SpectralClustering) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_nan_inf(SpectralClustering) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_overwrite_params(SpectralClustering) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimator_sparse_data(SpectralClustering) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_pickle(SpectralClustering) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_clusterer_compute_labels_predict(SpectralClustering) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_clustering(SpectralClustering) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_partial_fit_n_features(SpectralClustering) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_non_transformer_estimators_n_iter(SpectralClustering) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_predict1d(SpectralClustering) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1sample(SpectralClustering) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1feature(SpectralClustering) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1feature(SpectralClustering) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1sample(SpectralClustering) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_get_params_invariance(SpectralClustering) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dict_unchanged(SpectralClustering) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dont_overwrite_parameters(SpectralClustering) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_no_fit_attributes_set_in_init(SpectralEmbedding) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_dtypes(SpectralEmbedding) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit_score_takes_y(SpectralEmbedding) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dtype_object(SpectralEmbedding) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_pandas_series(SpectralEmbedding) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_list(SpectralEmbedding) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_fit_returns_self(SpectralEmbedding) ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/manifold/spectral_embedding_.py:234: UserWarning: Graph is not fully connected, spectral embedding may not work as expected.
warnings.warn("Graph is not fully connected, spectral embedding"
ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_empty_data_messages(SpectralEmbedding) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_nan_inf(SpectralEmbedding) ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/manifold/spectral_embedding_.py:234: UserWarning: Graph is not fully connected, spectral embedding may not work as expected.
warnings.warn("Graph is not fully connected, spectral embedding"
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/manifold/spectral_embedding_.py:234: UserWarning: Graph is not fully connected, spectral embedding may not work as expected.
warnings.warn("Graph is not fully connected, spectral embedding"
ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_overwrite_params(SpectralEmbedding) ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/manifold/spectral_embedding_.py:234: UserWarning: Graph is not fully connected, spectral embedding may not work as expected.
warnings.warn("Graph is not fully connected, spectral embedding"
ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimator_sparse_data(SpectralEmbedding) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_pickle(SpectralEmbedding) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_predict1d(SpectralEmbedding) ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/manifold/spectral_embedding_.py:234: UserWarning: Graph is not fully connected, spectral embedding may not work as expected.
warnings.warn("Graph is not fully connected, spectral embedding"
ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1sample(SpectralEmbedding) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1feature(SpectralEmbedding) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1feature(SpectralEmbedding) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1sample(SpectralEmbedding) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_get_params_invariance(SpectralEmbedding) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dict_unchanged(SpectralEmbedding) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dont_overwrite_parameters(SpectralEmbedding) ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/manifold/spectral_embedding_.py:234: UserWarning: Graph is not fully connected, spectral embedding may not work as expected.
warnings.warn("Graph is not fully connected, spectral embedding"
ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_no_fit_attributes_set_in_init(StandardScaler) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_dtypes(StandardScaler) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit_score_takes_y(StandardScaler) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dtype_object(StandardScaler) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_pandas_series(StandardScaler) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_list(StandardScaler) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_fit_returns_self(StandardScaler) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_empty_data_messages(StandardScaler) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_pipeline_consistency(StandardScaler) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_nan_inf(StandardScaler) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_overwrite_params(StandardScaler) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimator_sparse_data(StandardScaler) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_pickle(StandardScaler) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformer_data_not_an_array(StandardScaler) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformer_general(StandardScaler) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformers_unfitted(StandardScaler) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformer_n_iter(StandardScaler) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_predict1d(StandardScaler) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1sample(StandardScaler) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1feature(StandardScaler) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1feature(StandardScaler) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1sample(StandardScaler) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_get_params_invariance(StandardScaler) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dict_unchanged(StandardScaler) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dont_overwrite_parameters(StandardScaler) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_no_fit_attributes_set_in_init(TSNE) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_dtypes(TSNE) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit_score_takes_y(TSNE) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dtype_object(TSNE) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_pandas_series(TSNE) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_list(TSNE) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_fit_returns_self(TSNE) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_empty_data_messages(TSNE) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_pipeline_consistency(TSNE) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_nan_inf(TSNE) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_overwrite_params(TSNE) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimator_sparse_data(TSNE) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_pickle(TSNE) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_predict1d(TSNE) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1sample(TSNE) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1feature(TSNE) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1feature(TSNE) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1sample(TSNE) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_get_params_invariance(TSNE) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dict_unchanged(TSNE) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dont_overwrite_parameters(TSNE) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_no_fit_attributes_set_in_init(TheilSenRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_dtypes(TheilSenRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit_score_takes_y(TheilSenRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dtype_object(TheilSenRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_pandas_series(TheilSenRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_list(TheilSenRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_fit_returns_self(TheilSenRegressor) ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/linear_model/theil_sen.py:128: ConvergenceWarning: Maximum number of iterations 5 reached in spatial median for TheilSen regressor.
"".format(max_iter=max_iter), ConvergenceWarning)
ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_empty_data_messages(TheilSenRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_pipeline_consistency(TheilSenRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_nan_inf(TheilSenRegressor) ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/linear_model/theil_sen.py:128: ConvergenceWarning: Maximum number of iterations 5 reached in spatial median for TheilSen regressor.
"".format(max_iter=max_iter), ConvergenceWarning)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/linear_model/theil_sen.py:128: ConvergenceWarning: Maximum number of iterations 5 reached in spatial median for TheilSen regressor.
"".format(max_iter=max_iter), ConvergenceWarning)
ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_overwrite_params(TheilSenRegressor) ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/linear_model/theil_sen.py:128: ConvergenceWarning: Maximum number of iterations 5 reached in spatial median for TheilSen regressor.
"".format(max_iter=max_iter), ConvergenceWarning)
ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimator_sparse_data(TheilSenRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_pickle(TheilSenRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressors_train(TheilSenRegressor) ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/linear_model/theil_sen.py:128: ConvergenceWarning: Maximum number of iterations 5 reached in spatial median for TheilSen regressor.
"".format(max_iter=max_iter), ConvergenceWarning)
ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressor_data_not_an_array(TheilSenRegressor) ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/linear_model/theil_sen.py:128: ConvergenceWarning: Maximum number of iterations 5 reached in spatial median for TheilSen regressor.
"".format(max_iter=max_iter), ConvergenceWarning)
ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_partial_fit_n_features(TheilSenRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressors_no_decision_function(TheilSenRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_supervised_y_2d(TheilSenRegressor) ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/linear_model/theil_sen.py:128: ConvergenceWarning: Maximum number of iterations 5 reached in spatial median for TheilSen regressor.
"".format(max_iter=max_iter), ConvergenceWarning)
ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_supervised_y_no_nan(TheilSenRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressors_int(TheilSenRegressor) ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/linear_model/theil_sen.py:128: ConvergenceWarning: Maximum number of iterations 5 reached in spatial median for TheilSen regressor.
"".format(max_iter=max_iter), ConvergenceWarning)
ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_unfitted(TheilSenRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_non_transformer_estimators_n_iter(TheilSenRegressor) ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/linear_model/theil_sen.py:128: ConvergenceWarning: Maximum number of iterations 5 reached in spatial median for TheilSen regressor.
"".format(max_iter=max_iter), ConvergenceWarning)
ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_predict1d(TheilSenRegressor) ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/linear_model/theil_sen.py:128: ConvergenceWarning: Maximum number of iterations 5 reached in spatial median for TheilSen regressor.
"".format(max_iter=max_iter), ConvergenceWarning)
ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1sample(TheilSenRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1feature(TheilSenRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1feature(TheilSenRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1sample(TheilSenRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_get_params_invariance(TheilSenRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dict_unchanged(TheilSenRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dont_overwrite_parameters(TheilSenRegressor) ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/linear_model/theil_sen.py:128: ConvergenceWarning: Maximum number of iterations 5 reached in spatial median for TheilSen regressor.
"".format(max_iter=max_iter), ConvergenceWarning)
ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/deprecation.py:58: DeprecationWarning: Class VBGMM is deprecated; The `VBGMM` class is not working correctly and it's better to use `sklearn.mixture.BayesianGaussianMixture` class with parameter `weight_concentration_prior_type='dirichlet_distribution'` instead. VBGMM is deprecated in 0.18 and will be removed in 0.20.
warnings.warn(msg, category=DeprecationWarning)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_no_fit_attributes_set_in_init(VBGMM) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_dtypes(VBGMM) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit_score_takes_y(VBGMM) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dtype_object(VBGMM) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_pandas_series(VBGMM) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_list(VBGMM) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_fit_returns_self(VBGMM) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_empty_data_messages(VBGMM) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_pipeline_consistency(VBGMM) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_nan_inf(VBGMM) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_overwrite_params(VBGMM) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimator_sparse_data(VBGMM) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_pickle(VBGMM) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_predict1d(VBGMM) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1sample(VBGMM) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1feature(VBGMM) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1feature(VBGMM) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1sample(VBGMM) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_get_params_invariance(VBGMM) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dict_unchanged(VBGMM) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dont_overwrite_parameters(VBGMM) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_no_fit_attributes_set_in_init(VarianceThreshold) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_dtypes(VarianceThreshold) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit_score_takes_y(VarianceThreshold) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dtype_object(VarianceThreshold) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_pandas_series(VarianceThreshold) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_list(VarianceThreshold) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_fit_returns_self(VarianceThreshold) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_empty_data_messages(VarianceThreshold) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_pipeline_consistency(VarianceThreshold) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_nan_inf(VarianceThreshold) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_overwrite_params(VarianceThreshold) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimator_sparse_data(VarianceThreshold) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_pickle(VarianceThreshold) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformer_data_not_an_array(VarianceThreshold) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformer_general(VarianceThreshold) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformers_unfitted(VarianceThreshold) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformer_n_iter(VarianceThreshold) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_predict1d(VarianceThreshold) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1sample(VarianceThreshold) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1feature(VarianceThreshold) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1feature(VarianceThreshold) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1sample(VarianceThreshold) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_get_params_invariance(VarianceThreshold) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dict_unchanged(VarianceThreshold) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dont_overwrite_parameters(VarianceThreshold) ... ok
sklearn.tests.test_common.test_configure ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_class_weight_balanced_linear_classifiers:check_class_weight_balanced_linear_classifier(LinearSVC) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_class_weight_balanced_linear_classifiers:check_class_weight_balanced_linear_classifier(LogisticRegression) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_class_weight_balanced_linear_classifiers:check_class_weight_balanced_linear_classifier(LogisticRegressionCV) ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/model_selection/_split.py:605: Warning: The least populated class in y has only 2 members, which is too few. The minimum number of members in any class cannot be less than n_splits=3.
% (min_groups, self.n_splits)), Warning)
ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_class_weight_balanced_linear_classifiers:check_class_weight_balanced_linear_classifier(PassiveAggressiveClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_class_weight_balanced_linear_classifiers:check_class_weight_balanced_linear_classifier(Perceptron) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_class_weight_balanced_linear_classifiers:check_class_weight_balanced_linear_classifier(RidgeClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_class_weight_balanced_linear_classifiers:check_class_weight_balanced_linear_classifier(RidgeClassifierCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_common.py.test_class_weight_balanced_linear_classifiers:check_class_weight_balanced_linear_classifier(SGDClassifier) ... ok
sklearn.tests.test_common.test_root_import_all_completeness ... ok
sklearn.tests.test_common.test_all_tests_are_importable ... ok
sklearn.tests.test_common.test_import_all_consistency ... ok
sklearn.tests.test_config.test_config_context ... ok
sklearn.tests.test_config.test_config_context_exception ... ok
sklearn.tests.test_config.test_set_config ... ok
sklearn.tests.test_cross_validation.test_kfold_valueerrors ... ok
sklearn.tests.test_cross_validation.test_kfold_indices ... ok
sklearn.tests.test_cross_validation.test_kfold_no_shuffle ... ok
sklearn.tests.test_cross_validation.test_stratified_kfold_no_shuffle ... ok
sklearn.tests.test_cross_validation.test_stratified_kfold_ratios ... ok
sklearn.tests.test_cross_validation.test_kfold_balance ... ok
sklearn.tests.test_cross_validation.test_cross_val_generator_with_default_indices ... ok
sklearn.tests.test_cross_validation.test_stratifiedkfold_balance ... ok
sklearn.tests.test_cross_validation.test_shuffle_kfold ... ok
sklearn.tests.test_cross_validation.test_shuffle_stratifiedkfold ... ok
sklearn.tests.test_cross_validation.test_kfold_can_detect_dependent_samples_on_digits ... ok
sklearn.tests.test_cross_validation.test_label_kfold ... ok
sklearn.tests.test_cross_validation.test_shuffle_split ... ok
sklearn.tests.test_cross_validation.test_stratified_shuffle_split_init ... ok
sklearn.tests.test_cross_validation.test_stratified_shuffle_split_iter ... ok
sklearn.tests.test_cross_validation.test_stratified_shuffle_split_even ... ok
sklearn.tests.test_cross_validation.test_stratified_shuffle_split_overlap_train_test_bug ... ok
sklearn.tests.test_cross_validation.test_predefinedsplit_with_kfold_split ... ok
sklearn.tests.test_cross_validation.test_label_shuffle_split ... ok
sklearn.tests.test_cross_validation.test_leave_label_out_changing_labels ... ok
sklearn.tests.test_cross_validation.test_cross_val_score ... ok
sklearn.tests.test_cross_validation.test_cross_val_score_pandas ... ok
sklearn.tests.test_cross_validation.test_cross_val_score_mask ... ok
sklearn.tests.test_cross_validation.test_cross_val_score_precomputed ... ok
sklearn.tests.test_cross_validation.test_cross_val_score_fit_params ... ok
sklearn.tests.test_cross_validation.test_cross_val_score_score_func ... ok
sklearn.tests.test_cross_validation.test_cross_val_score_errors ... ok
sklearn.tests.test_cross_validation.test_train_test_split_errors ... ok
sklearn.tests.test_cross_validation.test_train_test_split ... ok
sklearn.tests.test_cross_validation.train_test_split_pandas ... ok
sklearn.tests.test_cross_validation.train_test_split_mock_pandas ... ok
sklearn.tests.test_cross_validation.test_cross_val_score_with_score_func_classification ... ok
sklearn.tests.test_cross_validation.test_cross_val_score_with_score_func_regression ... ok
sklearn.tests.test_cross_validation.test_permutation_score ... ok
sklearn.tests.test_cross_validation.test_cross_val_generator_with_indices ... ok
sklearn.tests.test_cross_validation.test_shufflesplit_errors ... ok
sklearn.tests.test_cross_validation.test_shufflesplit_reproducible ... ok
sklearn.tests.test_cross_validation.test_safe_split_with_precomputed_kernel ... ok
sklearn.tests.test_cross_validation.test_cross_val_score_allow_nans ... ok
sklearn.tests.test_cross_validation.test_train_test_split_allow_nans ... ok
sklearn.tests.test_cross_validation.test_permutation_test_score_allow_nans ... ok
sklearn.tests.test_cross_validation.test_check_cv_return_types ... ok
sklearn.tests.test_cross_validation.test_cross_val_score_multilabel ... ok
sklearn.tests.test_cross_validation.test_cross_val_predict ... ok
sklearn.tests.test_cross_validation.test_cross_val_predict_input_types ... ok
sklearn.tests.test_cross_validation.test_cross_val_predict_pandas ... ok
sklearn.tests.test_cross_validation.test_sparse_fit_params ... ok
sklearn.tests.test_cross_validation.test_check_is_partition ... ok
sklearn.tests.test_cross_validation.test_cross_val_predict_sparse_prediction ... ok
sklearn.tests.test_discriminant_analysis.test_lda_predict ... ok
sklearn.tests.test_discriminant_analysis.test_lda_priors ... ok
sklearn.tests.test_discriminant_analysis.test_lda_coefs ... ok
sklearn.tests.test_discriminant_analysis.test_lda_transform ... ok
sklearn.tests.test_discriminant_analysis.test_lda_explained_variance_ratio ... ok
sklearn.tests.test_discriminant_analysis.test_lda_orthogonality ... ok
sklearn.tests.test_discriminant_analysis.test_lda_scaling ... ok
sklearn.tests.test_discriminant_analysis.test_lda_store_covariance ... ok
sklearn.tests.test_discriminant_analysis.test_qda ... ok
sklearn.tests.test_discriminant_analysis.test_qda_priors ... ok
sklearn.tests.test_discriminant_analysis.test_qda_store_covariance ... ok
sklearn.tests.test_discriminant_analysis.test_qda_deprecation ... ok
sklearn.tests.test_discriminant_analysis.test_qda_regularization ... ok
sklearn.tests.test_discriminant_analysis.test_covariance ... ok
sklearn.tests.test_docstring_parameters.test_docstring_parameters ... SKIP: Not testing docstring parameter consistency
sklearn.tests.test_docstring_parameters.test_tabs ... ok
sklearn.tests.test_dummy.test_most_frequent_and_prior_strategy ... ok
sklearn.tests.test_dummy.test_most_frequent_and_prior_strategy_multioutput ... ok
sklearn.tests.test_dummy.test_stratified_strategy ... ok
sklearn.tests.test_dummy.test_stratified_strategy_multioutput ... ok
sklearn.tests.test_dummy.test_uniform_strategy ... ok
sklearn.tests.test_dummy.test_uniform_strategy_multioutput ... ok
sklearn.tests.test_dummy.test_string_labels ... ok
sklearn.tests.test_dummy.test_classifier_exceptions ... ok
sklearn.tests.test_dummy.test_mean_strategy_regressor ... ok
sklearn.tests.test_dummy.test_mean_strategy_multioutput_regressor ... ok
sklearn.tests.test_dummy.test_regressor_exceptions ... ok
sklearn.tests.test_dummy.test_median_strategy_regressor ... ok
sklearn.tests.test_dummy.test_median_strategy_multioutput_regressor ... ok
sklearn.tests.test_dummy.test_quantile_strategy_regressor ... ok
sklearn.tests.test_dummy.test_quantile_strategy_multioutput_regressor ... ok
sklearn.tests.test_dummy.test_quantile_invalid ... ok
sklearn.tests.test_dummy.test_quantile_strategy_empty_train ... ok
sklearn.tests.test_dummy.test_constant_strategy_regressor ... ok
sklearn.tests.test_dummy.test_constant_strategy_multioutput_regressor ... ok
sklearn.tests.test_dummy.test_y_mean_attribute_regressor ... ok
sklearn.tests.test_dummy.test_unknown_strategey_regressor ... ok
sklearn.tests.test_dummy.test_constants_not_specified_regressor ... ok
sklearn.tests.test_dummy.test_constant_size_multioutput_regressor ... ok
sklearn.tests.test_dummy.test_constant_strategy ... ok
sklearn.tests.test_dummy.test_constant_strategy_multioutput ... ok
sklearn.tests.test_dummy.test_constant_strategy_exceptions ... ok
sklearn.tests.test_dummy.test_classification_sample_weight ... ok
sklearn.tests.test_dummy.test_constant_strategy_sparse_target ... ok
sklearn.tests.test_dummy.test_uniform_strategy_sparse_target_warning ... ok
sklearn.tests.test_dummy.test_stratified_strategy_sparse_target ... ok
sklearn.tests.test_dummy.test_most_frequent_and_prior_strategy_sparse_target ... ok
sklearn.tests.test_dummy.test_dummy_regressor_sample_weight ... ok
sklearn.tests.test_dummy.test_dummy_classifier_on_nan_value ... ok
sklearn.tests.test_dummy.test_dummy_regressor_on_nan_value ... ok
sklearn.tests.test_grid_search.test_parameter_grid ... ok
sklearn.tests.test_grid_search.test_grid_search ... [Parallel(n_jobs=1)]: Done 1 out of 1 | elapsed: 0.0s remaining: 0.0s
[Parallel(n_jobs=1)]: Done 2 out of 2 | elapsed: 0.0s remaining: 0.0s
[Parallel(n_jobs=1)]: Done 9 out of 9 | elapsed: 0.0s finished
ok
sklearn.tests.test_grid_search.test_transform_inverse_transform_round_trip ... [Parallel(n_jobs=1)]: Done 1 out of 1 | elapsed: 0.0s remaining: 0.0s
[Parallel(n_jobs=1)]: Done 2 out of 2 | elapsed: 0.0s remaining: 0.0s
[Parallel(n_jobs=1)]: Done 9 out of 9 | elapsed: 0.0s finished
ok
sklearn.tests.test_grid_search.test_grid_search_score_method ... ok
sklearn.tests.test_grid_search.test_trivial_grid_scores ... ok
sklearn.tests.test_grid_search.test_no_refit ... ok
sklearn.tests.test_grid_search.test_grid_search_error ... ok
sklearn.tests.test_grid_search.test_grid_search_iid ... ok
sklearn.tests.test_grid_search.test_grid_search_no_score ... ok
sklearn.tests.test_grid_search.test_refit ... ok
sklearn.tests.test_grid_search.test_grid_search_one_grid_point ... ok
sklearn.tests.test_grid_search.test_grid_search_bad_param_grid ... ok
sklearn.tests.test_grid_search.test_grid_search_sparse ... ok
sklearn.tests.test_grid_search.test_grid_search_sparse_scoring ... ok
sklearn.tests.test_grid_search.test_grid_search_precomputed_kernel ... ok
sklearn.tests.test_grid_search.test_grid_search_precomputed_kernel_error_nonsquare ... ok
sklearn.tests.test_grid_search.test_grid_search_precomputed_kernel_error_kernel_function ... ok
sklearn.tests.test_grid_search.test_gridsearch_nd ... ok
sklearn.tests.test_grid_search.test_X_as_list ... ok
sklearn.tests.test_grid_search.test_y_as_list ... ok
sklearn.tests.test_grid_search.test_pandas_input ... ok
sklearn.tests.test_grid_search.test_unsupervised_grid_search ... ok
sklearn.tests.test_grid_search.test_gridsearch_no_predict ... ok
sklearn.tests.test_grid_search.test_param_sampler ... ok
sklearn.tests.test_grid_search.test_randomized_search_grid_scores ... ok
sklearn.tests.test_grid_search.test_grid_search_score_consistency ... ok
sklearn.tests.test_grid_search.test_pickle ... ok
sklearn.tests.test_grid_search.test_grid_search_with_multioutput_data ... ok
sklearn.tests.test_grid_search.test_predict_proba_disabled ... ok
sklearn.tests.test_grid_search.test_grid_search_allows_nans ... ok
sklearn.tests.test_grid_search.test_grid_search_failing_classifier ... ok
sklearn.tests.test_grid_search.test_grid_search_failing_classifier_raise ... ok
sklearn.tests.test_grid_search.test_parameters_sampler_replacement ... ok
sklearn.tests.test_grid_search.test_classes__property ... ok
sklearn.tests.test_init.test_import_skl ... ok
sklearn.tests.test_init.test_import_sklearn_no_warnings ... SKIP: soft-failed test_import_sklearn_no_warnings.
,
from .lbfgsb import _minimize_lbfgsb
from .qhull import *
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cross_validation.py:41: DeprecationWarning: This module was deprecated in version 0.18 in favor of the model_selection module into which all the refactored classes and functions are moved. Also note that the interface of the new CV iterators are different from that of this module. This module will be removed in 0.20.
"This module will be removed in 0.20.", DeprecationWarning)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/grid_search.py:42: DeprecationWarning: This module was deprecated in version 0.18 in favor of the model_selection module into which all the refactored classes and functions are moved. This module will be removed in 0.20.
DeprecationWarning)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/learning_curve.py:22: DeprecationWarning: This module was deprecated in version 0.18 in favor of the model_selection module into which all the functions are moved. This module will be removed in 0.20
DeprecationWarning)
sklearn.tests.test_isotonic.test_permutation_invariance ... ok
sklearn.tests.test_isotonic.test_check_increasing_small_number_of_samples ... ok
sklearn.tests.test_isotonic.test_check_increasing_up ... ok
sklearn.tests.test_isotonic.test_check_increasing_up_extreme ... ok
sklearn.tests.test_isotonic.test_check_increasing_down ... ok
sklearn.tests.test_isotonic.test_check_increasing_down_extreme ... ok
sklearn.tests.test_isotonic.test_check_ci_warn ... ok
sklearn.tests.test_isotonic.test_isotonic_regression ... ok
sklearn.tests.test_isotonic.test_isotonic_regression_ties_min ... ok
sklearn.tests.test_isotonic.test_isotonic_regression_ties_max ... ok
Test isotonic regression fit, transform and fit_transform ... ok
sklearn.tests.test_isotonic.test_isotonic_regression_reversed ... ok
sklearn.tests.test_isotonic.test_isotonic_regression_auto_decreasing ... ok
sklearn.tests.test_isotonic.test_isotonic_regression_auto_increasing ... ok
sklearn.tests.test_isotonic.test_assert_raises_exceptions ... ok
sklearn.tests.test_isotonic.test_isotonic_sample_weight_parameter_default_value ... ok
sklearn.tests.test_isotonic.test_isotonic_min_max_boundaries ... ok
sklearn.tests.test_isotonic.test_isotonic_sample_weight ... ok
sklearn.tests.test_isotonic.test_isotonic_regression_oob_raise ... ok
sklearn.tests.test_isotonic.test_isotonic_regression_oob_clip ... ok
sklearn.tests.test_isotonic.test_isotonic_regression_oob_nan ... ok
sklearn.tests.test_isotonic.test_isotonic_regression_oob_bad ... ok
sklearn.tests.test_isotonic.test_isotonic_regression_oob_bad_after ... ok
sklearn.tests.test_isotonic.test_isotonic_regression_pickle ... ok
sklearn.tests.test_isotonic.test_isotonic_duplicate_min_entry ... ok
sklearn.tests.test_isotonic.test_isotonic_ymin_ymax ... ok
sklearn.tests.test_isotonic.test_isotonic_zero_weight_loop ... ok
sklearn.tests.test_isotonic.test_fast_predict ... ok
sklearn.tests.test_isotonic.test_isotonic_copy_before_fit ... ok
sklearn.tests.test_kernel_approximation.test_additive_chi2_sampler ... ok
sklearn.tests.test_kernel_approximation.test_skewed_chi2_sampler ... ok
sklearn.tests.test_kernel_approximation.test_rbf_sampler ... ok
sklearn.tests.test_kernel_approximation.test_input_validation ... ok
sklearn.tests.test_kernel_approximation.test_nystroem_approximation ... ok
sklearn.tests.test_kernel_approximation.test_nystroem_default_parameters ... ok
sklearn.tests.test_kernel_approximation.test_nystroem_singular_kernel ... ok
sklearn.tests.test_kernel_approximation.test_nystroem_poly_kernel_params ... ok
sklearn.tests.test_kernel_approximation.test_nystroem_callable ... ok
sklearn.tests.test_kernel_ridge.test_kernel_ridge ... ok
sklearn.tests.test_kernel_ridge.test_kernel_ridge_csr ... ok
sklearn.tests.test_kernel_ridge.test_kernel_ridge_csc ... ok
sklearn.tests.test_kernel_ridge.test_kernel_ridge_singular_kernel ... ok
sklearn.tests.test_kernel_ridge.test_kernel_ridge_precomputed ... ok
sklearn.tests.test_kernel_ridge.test_kernel_ridge_precomputed_kernel_unchanged ... ok
sklearn.tests.test_kernel_ridge.test_kernel_ridge_sample_weights ... ok
sklearn.tests.test_kernel_ridge.test_kernel_ridge_multi_output ... ok
sklearn.tests.test_learning_curve.test_learning_curve ... ok
sklearn.tests.test_learning_curve.test_learning_curve_unsupervised ... ok
sklearn.tests.test_learning_curve.test_learning_curve_verbose ... [Parallel(n_jobs=1)]: Done 15 out of 15 | elapsed: 0.0s finished
ok
sklearn.tests.test_learning_curve.test_learning_curve_error_score ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cross_validation.py:1686: FitFailedWarning: Classifier fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
ValueError()
"Details: \n%r" % (error_score, e), FitFailedWarning)
ok
sklearn.tests.test_learning_curve.test_learning_curve_error_score_default_raise ... ok
sklearn.tests.test_learning_curve.test_learning_curve_incremental_learning_not_possible ... ok
sklearn.tests.test_learning_curve.test_learning_curve_incremental_learning ... ok
sklearn.tests.test_learning_curve.test_learning_curve_incremental_learning_unsupervised ... ok
sklearn.tests.test_learning_curve.test_learning_curve_batch_and_incremental_learning_are_equal ... ok
sklearn.tests.test_learning_curve.test_learning_curve_n_sample_range_out_of_bounds ... ok
sklearn.tests.test_learning_curve.test_learning_curve_remove_duplicate_sample_sizes ... ok
sklearn.tests.test_learning_curve.test_learning_curve_with_boolean_indices ... ok
sklearn.tests.test_learning_curve.test_validation_curve ... ok
sklearn.tests.test_learning_curve.test_validation_curve_clone_estimator ... ok
sklearn.tests.test_metaestimators.test_metaestimator_delegation ... ok
sklearn.tests.test_multiclass.test_ovr_exceptions ... ok
sklearn.tests.test_multiclass.test_check_classification_targets ... ok
sklearn.tests.test_multiclass.test_ovr_fit_predict ... ok
sklearn.tests.test_multiclass.test_ovr_partial_fit ... ok
sklearn.tests.test_multiclass.test_ovr_partial_fit_exceptions ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/naive_bayes.py:461: RuntimeWarning: divide by zero encountered in log
self.class_log_prior_ = (np.log(self.class_count_) -
ok
sklearn.tests.test_multiclass.test_ovr_ovo_regressor ... ok
sklearn.tests.test_multiclass.test_ovr_fit_predict_sparse ... ok
sklearn.tests.test_multiclass.test_ovr_always_present ... ok
sklearn.tests.test_multiclass.test_ovr_multiclass ... ok
sklearn.tests.test_multiclass.test_ovr_binary ... ok
sklearn.tests.test_multiclass.test_ovr_multilabel ... ok
sklearn.tests.test_multiclass.test_ovr_fit_predict_svc ... ok
sklearn.tests.test_multiclass.test_ovr_multilabel_dataset ... ok
sklearn.tests.test_multiclass.test_ovr_multilabel_predict_proba ... ok
sklearn.tests.test_multiclass.test_ovr_single_label_predict_proba ... ok
sklearn.tests.test_multiclass.test_ovr_multilabel_decision_function ... ok
sklearn.tests.test_multiclass.test_ovr_single_label_decision_function ... ok
sklearn.tests.test_multiclass.test_ovr_gridsearch ... ok
sklearn.tests.test_multiclass.test_ovr_pipeline ... ok
sklearn.tests.test_multiclass.test_ovr_coef_ ... ok
sklearn.tests.test_multiclass.test_ovr_coef_exceptions ... ok
sklearn.tests.test_multiclass.test_ovo_exceptions ... ok
sklearn.tests.test_multiclass.test_ovo_fit_on_list ... ok
sklearn.tests.test_multiclass.test_ovo_fit_predict ... ok
sklearn.tests.test_multiclass.test_ovo_partial_fit_predict ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/naive_bayes.py:461: RuntimeWarning: divide by zero encountered in log
self.class_log_prior_ = (np.log(self.class_count_) -
ok
sklearn.tests.test_multiclass.test_ovo_decision_function ... ok
sklearn.tests.test_multiclass.test_ovo_gridsearch ... ok
sklearn.tests.test_multiclass.test_ovo_ties ... ok
sklearn.tests.test_multiclass.test_ovo_ties2 ... ok
sklearn.tests.test_multiclass.test_ovo_string_y ... ok
sklearn.tests.test_multiclass.test_ovo_one_class ... ok
sklearn.tests.test_multiclass.test_ovo_float_y ... ok
sklearn.tests.test_multiclass.test_ecoc_exceptions ... ok
sklearn.tests.test_multiclass.test_ecoc_fit_predict ... ok
sklearn.tests.test_multiclass.test_ecoc_gridsearch ... ok
sklearn.tests.test_multiclass.test_ecoc_float_y ... ok
sklearn.tests.test_multiclass.test_pairwise_indices ... ok
sklearn.tests.test_multiclass.test_pairwise_attribute ... ok
sklearn.tests.test_multiclass.test_pairwise_cross_val_score ... ok
sklearn.tests.test_multioutput.test_multi_target_regression ... ok
sklearn.tests.test_multioutput.test_multi_target_regression_partial_fit ... ok
sklearn.tests.test_multioutput.test_multi_target_regression_one_target ... ok
sklearn.tests.test_multioutput.test_multi_target_sparse_regression ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/validation.py:304: UserWarning: Can't check dok sparse matrix for nan or inf.
% spmatrix.format)
ok
sklearn.tests.test_multioutput.test_multi_target_sample_weights_api ... ok
sklearn.tests.test_multioutput.test_multi_target_sample_weight_partial_fit ... ok
sklearn.tests.test_multioutput.test_multi_target_sample_weights ... ok
sklearn.tests.test_multioutput.test_multi_output_classification_partial_fit_parallelism ... ok
sklearn.tests.test_multioutput.test_multi_output_classification_partial_fit ... ok
sklearn.tests.test_multioutput.test_mutli_output_classifiation_partial_fit_no_first_classes_exception ... ok
sklearn.tests.test_multioutput.test_multi_output_classification ... ok
sklearn.tests.test_multioutput.test_multiclass_multioutput_estimator ... ok
sklearn.tests.test_multioutput.test_multiclass_multioutput_estimator_predict_proba ... ok
sklearn.tests.test_multioutput.test_multi_output_classification_sample_weights ... ok
sklearn.tests.test_multioutput.test_multi_output_classification_partial_fit_sample_weights ... ok
sklearn.tests.test_multioutput.test_multi_output_exceptions ... ok
sklearn.tests.test_multioutput.test_classifier_chain_fit_and_predict_with_logistic_regression ... ok
sklearn.tests.test_multioutput.test_classifier_chain_fit_and_predict_with_linear_svc ... ok
sklearn.tests.test_multioutput.test_classifier_chain_fit_and_predict_with_sparse_data ... ok
sklearn.tests.test_multioutput.test_classifier_chain_fit_and_predict_with_sparse_data_and_cv ... ok
sklearn.tests.test_multioutput.test_classifier_chain_random_order ... ok
sklearn.tests.test_multioutput.test_classifier_chain_crossval_fit_and_predict ... ok
sklearn.tests.test_multioutput.test_classifier_chain_vs_independent_models ... ok
sklearn.tests.test_naive_bayes.test_gnb ... ok
sklearn.tests.test_naive_bayes.test_gnb_prior ... ok
Test whether sample weights are properly used in GNB. ... ok
Test whether an error is raised in case of negative priors ... ok
Test whether the class prior override is properly used ... ok
Test whether an error is raised if the number of prior is different ... ok
Test if an error is raised if the sum of prior greater than one ... ok
Test if good prediction when class prior favor largely one class ... ok
Test when the partial fit is called without any data ... ok
Test whether an error is raised when the number of feature changes ... ok
sklearn.tests.test_naive_bayes.test_discrete_prior ... ok
sklearn.tests.test_naive_bayes.test_mnnb ... ok
sklearn.tests.test_naive_bayes.test_discretenb_partial_fit(<class 'sklearn.naive_bayes.MultinomialNB'>,) ... ok
sklearn.tests.test_naive_bayes.test_discretenb_partial_fit(<class 'sklearn.naive_bayes.BernoulliNB'>,) ... ok
sklearn.tests.test_naive_bayes.test_gnb_partial_fit ... ok
sklearn.tests.test_naive_bayes.test_discretenb_pickle ... ok
sklearn.tests.test_naive_bayes.test_input_check_fit ... ok
sklearn.tests.test_naive_bayes.test_input_check_partial_fit ... ok
sklearn.tests.test_naive_bayes.test_discretenb_predict_proba ... ok
sklearn.tests.test_naive_bayes.test_discretenb_uniform_prior ... ok
sklearn.tests.test_naive_bayes.test_discretenb_provide_prior ... ok
sklearn.tests.test_naive_bayes.test_discretenb_provide_prior_with_partial_fit ... ok
sklearn.tests.test_naive_bayes.test_sample_weight_multiclass(<class 'sklearn.naive_bayes.BernoulliNB'>,) ... ok
sklearn.tests.test_naive_bayes.test_sample_weight_multiclass(<class 'sklearn.naive_bayes.MultinomialNB'>,) ... ok
sklearn.tests.test_naive_bayes.test_sample_weight_mnb ... ok
sklearn.tests.test_naive_bayes.test_coef_intercept_shape ... ok
sklearn.tests.test_naive_bayes.test_check_accuracy_on_digits ... ok
sklearn.tests.test_naive_bayes.test_feature_log_prob_bnb ... ok
sklearn.tests.test_naive_bayes.test_bnb ... ok
sklearn.tests.test_naive_bayes.test_naive_bayes_scale_invariance ... ok
sklearn.tests.test_naive_bayes.test_alpha ... ok
sklearn.tests.test_pipeline.test_pipeline_init ... ok
sklearn.tests.test_pipeline.test_pipeline_init_tuple ... ok
sklearn.tests.test_pipeline.test_pipeline_methods_anova ... ok
sklearn.tests.test_pipeline.test_pipeline_fit_params ... ok
sklearn.tests.test_pipeline.test_pipeline_sample_weight_supported ... ok
sklearn.tests.test_pipeline.test_pipeline_sample_weight_unsupported ... ok
sklearn.tests.test_pipeline.test_pipeline_raise_set_params_error ... ok
sklearn.tests.test_pipeline.test_pipeline_methods_pca_svm ... ok
sklearn.tests.test_pipeline.test_pipeline_methods_preprocessing_svm ... ok
sklearn.tests.test_pipeline.test_fit_predict_on_pipeline ... ok
sklearn.tests.test_pipeline.test_fit_predict_on_pipeline_without_fit_predict ... ok
sklearn.tests.test_pipeline.test_fit_predict_with_intermediate_fit_params ... ok
sklearn.tests.test_pipeline.test_feature_union ... ok
sklearn.tests.test_pipeline.test_make_union ... ok
sklearn.tests.test_pipeline.test_make_union_kwargs ... ok
sklearn.tests.test_pipeline.test_pipeline_transform ... ok
sklearn.tests.test_pipeline.test_pipeline_fit_transform ... ok
sklearn.tests.test_pipeline.test_set_pipeline_steps ... ok
sklearn.tests.test_pipeline.test_pipeline_named_steps ... ok
sklearn.tests.test_pipeline.test_set_pipeline_step_none ... ok
sklearn.tests.test_pipeline.test_pipeline_ducktyping ... ok
sklearn.tests.test_pipeline.test_make_pipeline ... ok
sklearn.tests.test_pipeline.test_feature_union_weights ... ok
sklearn.tests.test_pipeline.test_feature_union_parallel ... ok
sklearn.tests.test_pipeline.test_feature_union_feature_names ... ok
sklearn.tests.test_pipeline.test_classes_property ... ok
sklearn.tests.test_pipeline.test_set_feature_union_steps ... ok
sklearn.tests.test_pipeline.test_set_feature_union_step_none ... ok
sklearn.tests.test_pipeline.test_step_name_validation ... ok
sklearn.tests.test_pipeline.test_set_params_nested_pipeline ... ok
sklearn.tests.test_pipeline.test_pipeline_wrong_memory ... ok
sklearn.tests.test_pipeline.test_pipeline_with_cache_attribute ... ok
sklearn.tests.test_pipeline.test_pipeline_memory ... ok
sklearn.tests.test_pipeline.test_make_pipeline_memory ... ok
sklearn.tests.test_random_projection.test_invalid_jl_domain ... ok
sklearn.tests.test_random_projection.test_input_size_jl_min_dim ... ok
sklearn.tests.test_random_projection.test_basic_property_of_random_matrix(<function sparse_random_matrix at 0xf3c64ab0>,) ... ok
sklearn.tests.test_random_projection.test_basic_property_of_random_matrix(<function sparse_random_matrix at 0xf3c64ab0>,) ... ok
sklearn.tests.test_random_projection.test_basic_property_of_random_matrix(<function sparse_random_matrix at 0xf3c64ab0>,) ... ok
sklearn.tests.test_random_projection.test_basic_property_of_random_matrix(<function gaussian_random_matrix at 0xf3c64a70>,) ... ok
sklearn.tests.test_random_projection.test_basic_property_of_random_matrix(<function gaussian_random_matrix at 0xf3c64a70>,) ... ok
sklearn.tests.test_random_projection.test_basic_property_of_random_matrix(<function gaussian_random_matrix at 0xf3c64a70>,) ... ok
sklearn.tests.test_random_projection.test_basic_property_of_random_matrix(<function sparse_random_matrix at 0xf3c64ab0>,) ... ok
sklearn.tests.test_random_projection.test_basic_property_of_random_matrix(<function <lambda> at 0xf03f5d30>,) ... ok
sklearn.tests.test_random_projection.test_gaussian_random_matrix ... ok
sklearn.tests.test_random_projection.test_sparse_random_matrix ... ok
sklearn.tests.test_random_projection.test_sparse_random_projection_transformer_invalid_density ... ok
sklearn.tests.test_random_projection.test_random_projection_transformer_invalid_input ... ok
sklearn.tests.test_random_projection.test_try_to_transform_before_fit ... ok
sklearn.tests.test_random_projection.test_too_many_samples_to_find_a_safe_embedding ... ok
sklearn.tests.test_random_projection.test_random_projection_embedding_quality ... ok
sklearn.tests.test_random_projection.test_SparseRandomProjection_output_representation ... ok
sklearn.tests.test_random_projection.test_correct_RandomProjection_dimensions_embedding ... ok
sklearn.tests.test_random_projection.test_warning_n_components_greater_than_n_features ... ok
sklearn.tests.test_random_projection.test_works_with_sparse_data ... ok
----------------------------------------------------------------------
Ran 8016 tests in 989.492s
OK (SKIP=78)
Failure: ImportError (No module named github_link) ... ERROR
Doctest: faq.rst ... ok
======================================================================
ERROR: Failure: ImportError (No module named github_link)
----------------------------------------------------------------------
Traceback (most recent call last):
File "/usr/lib/python2.7/dist-packages/nose/loader.py", line 418, in loadTestsFromName
addr.filename, addr.module)
File "/usr/lib/python2.7/dist-packages/nose/importer.py", line 47, in importFromPath
return self.importFromDir(dir_path, fqname)
File "/usr/lib/python2.7/dist-packages/nose/importer.py", line 94, in importFromDir
mod = load_module(part_fqname, fh, filename, desc)
File "/<<PKGBUILDDIR>>/doc/conf.py", line 26, in <module>
from github_link import make_linkcode_resolve
ImportError: No module named github_link
----------------------------------------------------------------------
Ran 2 tests in 0.733s
FAILED (errors=1)
: # Run unittests here against installed scikits.learn
dpkg: error: --compare-versions takes three arguments: <version> <relation> <version>
Type dpkg --help for help about installing and deinstalling packages [*];
Use 'apt' or 'aptitude' for user-friendly package management;
Type dpkg -Dhelp for a list of dpkg debug flag values;
Type dpkg --force-help for a list of forcing options;
Type dpkg-deb --help for help about manipulating *.deb files;
Options marked [*] produce a lot of output - pipe it through 'less' or 'more' !
echo "3.6" | grep -q '^3' && PY=3 || PY=3.6; \
export PYTHONPATH=`/bin/ls -d $PWD/debian/tmp/usr/lib/python$PY/*/`; \
export MPLCONFIGDIR=/<<PKGBUILDDIR>>/build HOME=/<<PKGBUILDDIR>>/build; \
export JOBLIB_MULTIPROCESSING=2; \
cd build/; python3.6 /usr/bin/nosetests -s -v sklearn && \
{ python3.6 /usr/bin/nosetests -v --with-doctest --doctest-extension=rst ../doc/ || : ; } # doctests are failing ATM
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/learning_curve.py:22: DeprecationWarning: This module was deprecated in version 0.18 in favor of the model_selection module into which all the functions are moved. This module will be removed in 0.20
DeprecationWarning)
sklearn.cluster.tests.test_affinity_propagation.test_affinity_propagation ... ok
sklearn.cluster.tests.test_affinity_propagation.test_affinity_propagation_predict ... ok
sklearn.cluster.tests.test_affinity_propagation.test_affinity_propagation_predict_error ... ok
sklearn.cluster.tests.test_bicluster.test_get_submatrix ... ok
sklearn.cluster.tests.test_bicluster.test_spectral_coclustering ... ok
sklearn.cluster.tests.test_bicluster.test_spectral_biclustering ... ok
sklearn.cluster.tests.test_bicluster.test_scale_normalize ... ok
sklearn.cluster.tests.test_bicluster.test_bistochastic_normalize ... ok
sklearn.cluster.tests.test_bicluster.test_log_normalize ... ok
sklearn.cluster.tests.test_bicluster.test_fit_best_piecewise ... ok
sklearn.cluster.tests.test_bicluster.test_project_and_cluster ... ok
sklearn.cluster.tests.test_bicluster.test_perfect_checkerboard ... SKIP: This test is failing on the buildbot, but cannot reproduce. Temporarily disabling it until it can be reproduced and fixed.
sklearn.cluster.tests.test_bicluster.test_errors ... ok
sklearn.cluster.tests.test_birch.test_n_samples_leaves_roots ... ok
sklearn.cluster.tests.test_birch.test_partial_fit ... ok
sklearn.cluster.tests.test_birch.test_birch_predict ... ok
sklearn.cluster.tests.test_birch.test_n_clusters ... ok
sklearn.cluster.tests.test_birch.test_sparse_X ... ok
sklearn.cluster.tests.test_birch.test_branching_factor ... ok
sklearn.cluster.tests.test_birch.test_threshold ... ok
sklearn.cluster.tests.test_dbscan.test_dbscan_similarity ... ok
sklearn.cluster.tests.test_dbscan.test_dbscan_feature ... ok
sklearn.cluster.tests.test_dbscan.test_dbscan_sparse ... ok
sklearn.cluster.tests.test_dbscan.test_dbscan_sparse_precomputed ... ok
sklearn.cluster.tests.test_dbscan.test_dbscan_no_core_samples ... ok
sklearn.cluster.tests.test_dbscan.test_dbscan_callable ... ok
sklearn.cluster.tests.test_dbscan.test_dbscan_metric_params ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/dbscan_.py:141: SyntaxWarning: Parameter p is found in metric_params. The corresponding parameter from __init__ is ignored.
n_jobs=n_jobs)
ok
sklearn.cluster.tests.test_dbscan.test_dbscan_balltree ... ok
sklearn.cluster.tests.test_dbscan.test_input_validation ... ok
sklearn.cluster.tests.test_dbscan.test_dbscan_badargs ... ok
sklearn.cluster.tests.test_dbscan.test_pickle ... ok
sklearn.cluster.tests.test_dbscan.test_boundaries ... ok
sklearn.cluster.tests.test_dbscan.test_weighted_dbscan ... ok
sklearn.cluster.tests.test_dbscan.test_dbscan_core_samples_toy ... ok
sklearn.cluster.tests.test_dbscan.test_dbscan_precomputed_metric_with_degenerate_input_arrays ... ok
sklearn.cluster.tests.test_dbscan.test_dbscan_precomputed_metric_with_initial_rows_zero ... ok
sklearn.cluster.tests.test_hierarchical.test_deprecation_of_n_components_in_linkage_tree ... ok
sklearn.cluster.tests.test_hierarchical.test_linkage_misc ... ok
sklearn.cluster.tests.test_hierarchical.test_structured_linkage_tree ... ok
sklearn.cluster.tests.test_hierarchical.test_unstructured_linkage_tree ... ok
sklearn.cluster.tests.test_hierarchical.test_height_linkage_tree ... ok
sklearn.cluster.tests.test_hierarchical.test_agglomerative_clustering_wrong_arg_memory ... ok
sklearn.cluster.tests.test_hierarchical.test_agglomerative_clustering ... ok
sklearn.cluster.tests.test_hierarchical.test_ward_agglomeration ... ok
sklearn.cluster.tests.test_hierarchical.test_scikit_vs_scipy ... ok
sklearn.cluster.tests.test_hierarchical.test_connectivity_propagation ... ok
sklearn.cluster.tests.test_hierarchical.test_ward_tree_children_order ... ok
sklearn.cluster.tests.test_hierarchical.test_ward_linkage_tree_return_distance ... ok
sklearn.cluster.tests.test_hierarchical.test_connectivity_fixing_non_lil ... ok
sklearn.cluster.tests.test_hierarchical.test_int_float_dict ... ok
sklearn.cluster.tests.test_hierarchical.test_connectivity_callable ... ok
sklearn.cluster.tests.test_hierarchical.test_connectivity_ignores_diagonal ... ok
sklearn.cluster.tests.test_hierarchical.test_compute_full_tree ... ok
sklearn.cluster.tests.test_hierarchical.test_n_components ... ok
sklearn.cluster.tests.test_hierarchical.test_agg_n_clusters ... ok
sklearn.cluster.tests.test_hierarchical.test_affinity_passed_to_fix_connectivity ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/hierarchical.py:426: UserWarning: the number of connected components of the connectivity matrix is 2 > 1. Completing it to avoid stopping the tree early.
affinity=affinity)
ok
sklearn.cluster.tests.test_k_means.test_elkan_results ... ok
sklearn.cluster.tests.test_k_means.test_labels_assignment_and_inertia ... ok
sklearn.cluster.tests.test_k_means.test_minibatch_update_consistency ... ok
sklearn.cluster.tests.test_k_means.test_k_means_plus_plus_init ... ok
sklearn.cluster.tests.test_k_means.test_k_means_new_centers ... ok
sklearn.cluster.tests.test_k_means.test_k_means_precompute_distances_flag ... ok
sklearn.cluster.tests.test_k_means.test_k_means_plus_plus_init_sparse ... ok
sklearn.cluster.tests.test_k_means.test_k_means_random_init ... ok
sklearn.cluster.tests.test_k_means.test_k_means_random_init_sparse ... ok
sklearn.cluster.tests.test_k_means.test_k_means_plus_plus_init_not_precomputed ... ok
sklearn.cluster.tests.test_k_means.test_k_means_random_init_not_precomputed ... ok
sklearn.cluster.tests.test_k_means.test_k_means_perfect_init ... ok
sklearn.cluster.tests.test_k_means.test_k_means_n_init ... ok
sklearn.cluster.tests.test_k_means.test_k_means_explicit_init_shape ... ok
sklearn.cluster.tests.test_k_means.test_k_means_fortran_aligned_data ... ok
sklearn.cluster.tests.test_k_means.test_mb_k_means_plus_plus_init_dense_array ... ok
sklearn.cluster.tests.test_k_means.test_mb_kmeans_verbose ... ok
sklearn.cluster.tests.test_k_means.test_mb_k_means_plus_plus_init_sparse_matrix ... ok
sklearn.cluster.tests.test_k_means.test_minibatch_init_with_large_k ... ok
sklearn.cluster.tests.test_k_means.test_minibatch_k_means_random_init_dense_array ... ok
sklearn.cluster.tests.test_k_means.test_minibatch_k_means_random_init_sparse_csr ... ok
sklearn.cluster.tests.test_k_means.test_minibatch_k_means_perfect_init_dense_array ... ok
sklearn.cluster.tests.test_k_means.test_minibatch_k_means_init_multiple_runs_with_explicit_centers ... ok
sklearn.cluster.tests.test_k_means.test_minibatch_k_means_perfect_init_sparse_csr ... ok
sklearn.cluster.tests.test_k_means.test_minibatch_sensible_reassign_fit ... ok
sklearn.cluster.tests.test_k_means.test_minibatch_sensible_reassign_partial_fit ... ok
sklearn.cluster.tests.test_k_means.test_minibatch_reassign ... ok
sklearn.cluster.tests.test_k_means.test_minibatch_with_many_reassignments ... ok
sklearn.cluster.tests.test_k_means.test_sparse_mb_k_means_callable_init ... ok
sklearn.cluster.tests.test_k_means.test_mini_batch_k_means_random_init_partial_fit ... ok
sklearn.cluster.tests.test_k_means.test_minibatch_default_init_size ... ok
sklearn.cluster.tests.test_k_means.test_minibatch_tol ... ok
sklearn.cluster.tests.test_k_means.test_minibatch_set_init_size ... ok
sklearn.cluster.tests.test_k_means.test_k_means_invalid_init ... ok
sklearn.cluster.tests.test_k_means.test_mini_match_k_means_invalid_init ... ok
sklearn.cluster.tests.test_k_means.test_k_means_copyx ... ok
sklearn.cluster.tests.test_k_means.test_k_means_non_collapsed ... ok
sklearn.cluster.tests.test_k_means.test_predict ... ok
sklearn.cluster.tests.test_k_means.test_score ... ok
sklearn.cluster.tests.test_k_means.test_predict_minibatch_dense_input ... ok
sklearn.cluster.tests.test_k_means.test_predict_minibatch_kmeanspp_init_sparse_input ... ok
sklearn.cluster.tests.test_k_means.test_predict_minibatch_random_init_sparse_input ... ok
sklearn.cluster.tests.test_k_means.test_int_input ... ok
sklearn.cluster.tests.test_k_means.test_transform ... ok
sklearn.cluster.tests.test_k_means.test_fit_transform ... ok
sklearn.cluster.tests.test_k_means.test_predict_equal_labels ... ok
sklearn.cluster.tests.test_k_means.test_k_means_plus_plus_init_2_jobs ... I: Seeding RNGs with 1143411571
Converged after 58 iterations.
ok
sklearn.cluster.tests.test_k_means.test_full_vs_elkan ... ok
sklearn.cluster.tests.test_k_means.test_n_init ... ok
sklearn.cluster.tests.test_k_means.test_k_means_function ... ok
Test that x_squared_norms can be None in _init_centroids ... ok
sklearn.cluster.tests.test_k_means.test_max_iter_error ... ok
sklearn.cluster.tests.test_k_means.test_float_precision ... ok
sklearn.cluster.tests.test_k_means.test_k_means_init_centers ... ok
sklearn.cluster.tests.test_k_means.test_sparse_k_means_init_centers ... ok
sklearn.cluster.tests.test_k_means.test_sparse_validate_centers ... ok
sklearn.cluster.tests.test_mean_shift.test_estimate_bandwidth ... ok
sklearn.cluster.tests.test_mean_shift.test_mean_shift ... ok
sklearn.cluster.tests.test_mean_shift.test_estimate_bandwidth_with_sparse_matrix ... ok
sklearn.cluster.tests.test_mean_shift.test_parallel ... ok
sklearn.cluster.tests.test_mean_shift.test_meanshift_predict ... ok
sklearn.cluster.tests.test_mean_shift.test_meanshift_all_orphans ... ok
sklearn.cluster.tests.test_mean_shift.test_unfitted ... ok
sklearn.cluster.tests.test_mean_shift.test_bin_seeds ... ok
sklearn.cluster.tests.test_spectral.test_spectral_clustering ... ok
sklearn.cluster.tests.test_spectral.test_spectral_amg_mode ... ok
sklearn.cluster.tests.test_spectral.test_spectral_unknown_mode ... ok
sklearn.cluster.tests.test_spectral.test_spectral_unknown_assign_labels ... ok
sklearn.cluster.tests.test_spectral.test_spectral_clustering_sparse ... ok
sklearn.cluster.tests.test_spectral.test_affinities ... ok
sklearn.cluster.tests.test_spectral.test_discretize ... ok
sklearn.covariance.tests.test_covariance.test_covariance ... ok
sklearn.covariance.tests.test_covariance.test_shrunk_covariance ... ok
sklearn.covariance.tests.test_covariance.test_ledoit_wolf ... ok
sklearn.covariance.tests.test_covariance.test_ledoit_wolf_small ... ok
sklearn.covariance.tests.test_covariance.test_ledoit_wolf_large ... ok
sklearn.covariance.tests.test_covariance.test_oas ... ok
sklearn.covariance.tests.test_graph_lasso.test_graph_lasso ... ok
sklearn.covariance.tests.test_graph_lasso.test_graph_lasso_iris ... ok
sklearn.covariance.tests.test_graph_lasso.test_graph_lasso_iris_singular ... ok
sklearn.covariance.tests.test_graph_lasso.test_graph_lasso_cv ... ok
sklearn.covariance.tests.test_graph_lasso.test_deprecated_grid_scores ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/deprecation.py:77: DeprecationWarning: Function grid_scores is deprecated; Attribute grid_scores was deprecated in version 0.19 and will be removed in 0.21. Use ``grid_scores_`` instead
warnings.warn(msg, category=DeprecationWarning)
ok
sklearn.covariance.tests.test_robust_covariance.test_mcd ... ok
sklearn.covariance.tests.test_robust_covariance.test_fast_mcd_on_invalid_input ... ok
sklearn.covariance.tests.test_robust_covariance.test_mcd_class_on_invalid_input ... ok
sklearn.covariance.tests.test_robust_covariance.test_mcd_issue1127 ... ok
sklearn.covariance.tests.test_robust_covariance.test_mcd_issue3367 ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/covariance/robust_covariance.py:622: UserWarning: The covariance matrix associated to your dataset is not full rank
warnings.warn("The covariance matrix associated to your dataset "
ok
sklearn.covariance.tests.test_robust_covariance.test_outlier_detection ... ok
sklearn.cross_decomposition.tests.test_pls.test_pls ... ok
sklearn.cross_decomposition.tests.test_pls.test_PLSSVD ... ok
sklearn.cross_decomposition.tests.test_pls.test_univariate_pls_regression ... ok
sklearn.cross_decomposition.tests.test_pls.test_predict_transform_copy ... ok
sklearn.cross_decomposition.tests.test_pls.test_scale_and_stability ... ok
sklearn.cross_decomposition.tests.test_pls.test_pls_errors ... ok
sklearn.cross_decomposition.tests.test_pls.test_pls_scaling ... ok
sklearn.datasets.tests.test_20news.test_20news ... SKIP: Download 20 newsgroups to run this test
Checks the length consistencies within the bunch ... SKIP: Download 20 newsgroups to run this test
sklearn.datasets.tests.test_20news.test_20news_vectorized ... SKIP: Download 20 newsgroups to run this test
sklearn.datasets.tests.test_base.test_data_home ... ok
sklearn.datasets.tests.test_base.test_default_empty_load_files ... ok
sklearn.datasets.tests.test_base.test_default_load_files ... ok
sklearn.datasets.tests.test_base.test_load_files_w_categories_desc_and_encoding ... ok
sklearn.datasets.tests.test_base.test_load_files_wo_load_content ... ok
sklearn.datasets.tests.test_base.test_load_sample_images ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/datasets/tests/test_base.py:124: UserWarning: Could not load sample images, PIL is not available.
warnings.warn("Could not load sample images, PIL is not available.")
ok
sklearn.datasets.tests.test_base.test_load_digits ... ok
sklearn.datasets.tests.test_base.test_load_digits_n_class_lt_10 ... ok
sklearn.datasets.tests.test_base.test_load_sample_image ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/datasets/tests/test_base.py:152: UserWarning: Could not load sample images, PIL is not available.
warnings.warn("Could not load sample images, PIL is not available.")
ok
sklearn.datasets.tests.test_base.test_load_missing_sample_image_error ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/datasets/tests/test_base.py:168: UserWarning: Could not load sample images, PIL is not available.
warnings.warn("Could not load sample images, PIL is not available.")
ok
sklearn.datasets.tests.test_base.test_load_diabetes ... ok
sklearn.datasets.tests.test_base.test_load_linnerud ... ok
sklearn.datasets.tests.test_base.test_load_iris ... ok
sklearn.datasets.tests.test_base.test_load_wine ... ok
sklearn.datasets.tests.test_base.test_load_breast_cancer ... ok
sklearn.datasets.tests.test_base.test_load_boston ... ok
sklearn.datasets.tests.test_base.test_loads_dumps_bunch ... ok
sklearn.datasets.tests.test_base.test_bunch_pickle_generated_with_0_16_and_read_with_0_17 ... ok
sklearn.datasets.tests.test_base.test_bunch_dir ... ok
/usr/lib/python3/dist-packages/nose/util.py:453: DeprecationWarning: inspect.getargspec() is deprecated, use inspect.signature() or inspect.getfullargspec()
inspect.getargspec(func)
sklearn.datasets.tests.test_covtype.test_fetch ... SKIP: Covertype dataset can not be loaded.
sklearn.datasets.tests.test_kddcup99.test_percent10 ... SKIP: kddcup99 dataset can not be loaded.
SKIP: PIL not installed.
sklearn.datasets.tests.test_mldata.test_mldata_filename ... ok
Test that fetch_mldata is able to download and cache a data set. ... ok
sklearn.datasets.tests.test_mldata.test_fetch_one_column ... ok
sklearn.datasets.tests.test_mldata.test_fetch_multiple_column ... ok
sklearn.datasets.tests.test_rcv1.test_fetch_rcv1 ... SKIP: Download RCV1 dataset to run this test.
sklearn.datasets.tests.test_samples_generator.test_make_classification ... ok
Test the construction of informative features in make_classification ... ok
sklearn.datasets.tests.test_samples_generator.test_make_multilabel_classification_return_sequences ... ok
sklearn.datasets.tests.test_samples_generator.test_make_multilabel_classification_return_indicator ... ok
sklearn.datasets.tests.test_samples_generator.test_make_multilabel_classification_return_indicator_sparse ... ok
sklearn.datasets.tests.test_samples_generator.test_make_hastie_10_2 ... ok
sklearn.datasets.tests.test_samples_generator.test_make_regression ... ok
sklearn.datasets.tests.test_samples_generator.test_make_regression_multitarget ... ok
sklearn.datasets.tests.test_samples_generator.test_make_blobs ... ok
sklearn.datasets.tests.test_samples_generator.test_make_friedman1 ... ok
sklearn.datasets.tests.test_samples_generator.test_make_friedman2 ... ok
sklearn.datasets.tests.test_samples_generator.test_make_friedman3 ... ok
sklearn.datasets.tests.test_samples_generator.test_make_low_rank_matrix ... ok
sklearn.datasets.tests.test_samples_generator.test_make_sparse_coded_signal ... ok
sklearn.datasets.tests.test_samples_generator.test_make_sparse_uncorrelated ... ok
sklearn.datasets.tests.test_samples_generator.test_make_spd_matrix ... ok
sklearn.datasets.tests.test_samples_generator.test_make_swiss_roll ... ok
sklearn.datasets.tests.test_samples_generator.test_make_s_curve ... ok
sklearn.datasets.tests.test_samples_generator.test_make_biclusters ... ok
sklearn.datasets.tests.test_samples_generator.test_make_checkerboard ... ok
sklearn.datasets.tests.test_samples_generator.test_make_moons ... ok
sklearn.datasets.tests.test_svmlight_format.test_load_svmlight_file ... ok
sklearn.datasets.tests.test_svmlight_format.test_load_svmlight_file_fd ... ok
sklearn.datasets.tests.test_svmlight_format.test_load_svmlight_file_multilabel ... ok
sklearn.datasets.tests.test_svmlight_format.test_load_svmlight_files ... ok
sklearn.datasets.tests.test_svmlight_format.test_load_svmlight_file_n_features ... ok
sklearn.datasets.tests.test_svmlight_format.test_load_compressed ... ok
sklearn.datasets.tests.test_svmlight_format.test_load_invalid_file ... ok
sklearn.datasets.tests.test_svmlight_format.test_load_invalid_order_file ... ok
sklearn.datasets.tests.test_svmlight_format.test_load_zero_based ... ok
sklearn.datasets.tests.test_svmlight_format.test_load_zero_based_auto ... ok
sklearn.datasets.tests.test_svmlight_format.test_load_with_qid ... ok
sklearn.datasets.tests.test_svmlight_format.test_load_invalid_file2 ... ok
sklearn.datasets.tests.test_svmlight_format.test_not_a_filename ... ok
sklearn.datasets.tests.test_svmlight_format.test_invalid_filename ... ok
sklearn.datasets.tests.test_svmlight_format.test_dump ... ok
sklearn.datasets.tests.test_svmlight_format.test_dump_multilabel ... ok
sklearn.datasets.tests.test_svmlight_format.test_dump_concise ... ok
sklearn.datasets.tests.test_svmlight_format.test_dump_comment ... ok
sklearn.datasets.tests.test_svmlight_format.test_dump_invalid ... ok
sklearn.datasets.tests.test_svmlight_format.test_dump_query_id ... ok
sklearn.datasets.tests.test_svmlight_format.test_load_with_long_qid ... ok
sklearn.datasets.tests.test_svmlight_format.test_load_zeros ... ok
sklearn.datasets.tests.test_svmlight_format.test_load_with_offsets(0, 13, 2) ... ok
sklearn.datasets.tests.test_svmlight_format.test_load_with_offsets(0, 13, 7) ... ok
sklearn.datasets.tests.test_svmlight_format.test_load_with_offsets(0, 13, 41) ... ok
sklearn.datasets.tests.test_svmlight_format.test_load_with_offsets(0, 101, 2) ... ok
sklearn.datasets.tests.test_svmlight_format.test_load_with_offsets(0, 101, 7) ... ok
sklearn.datasets.tests.test_svmlight_format.test_load_with_offsets(0, 101, 41) ... ok
sklearn.datasets.tests.test_svmlight_format.test_load_with_offsets(0.1, 13, 2) ... ok
sklearn.datasets.tests.test_svmlight_format.test_load_with_offsets(0.1, 13, 7) ... ok
sklearn.datasets.tests.test_svmlight_format.test_load_with_offsets(0.1, 13, 41) ... ok
sklearn.datasets.tests.test_svmlight_format.test_load_with_offsets(0.1, 101, 2) ... ok
sklearn.datasets.tests.test_svmlight_format.test_load_with_offsets(0.1, 101, 7) ... ok
sklearn.datasets.tests.test_svmlight_format.test_load_with_offsets(0.1, 101, 41) ... ok
sklearn.datasets.tests.test_svmlight_format.test_load_with_offsets(0.5, 13, 2) ... ok
sklearn.datasets.tests.test_svmlight_format.test_load_with_offsets(0.5, 13, 7) ... ok
sklearn.datasets.tests.test_svmlight_format.test_load_with_offsets(0.5, 13, 41) ... ok
sklearn.datasets.tests.test_svmlight_format.test_load_with_offsets(0.5, 101, 2) ... ok
sklearn.datasets.tests.test_svmlight_format.test_load_with_offsets(0.5, 101, 7) ... ok
sklearn.datasets.tests.test_svmlight_format.test_load_with_offsets(0.5, 101, 41) ... ok
sklearn.datasets.tests.test_svmlight_format.test_load_with_offsets(0.99, 13, 2) ... ok
sklearn.datasets.tests.test_svmlight_format.test_load_with_offsets(0.99, 13, 7) ... ok
sklearn.datasets.tests.test_svmlight_format.test_load_with_offsets(0.99, 13, 41) ... ok
sklearn.datasets.tests.test_svmlight_format.test_load_with_offsets(0.99, 101, 2) ... ok
sklearn.datasets.tests.test_svmlight_format.test_load_with_offsets(0.99, 101, 7) ... ok
sklearn.datasets.tests.test_svmlight_format.test_load_with_offsets(0.99, 101, 41) ... ok
sklearn.datasets.tests.test_svmlight_format.test_load_with_offsets(1, 13, 2) ... ok
sklearn.datasets.tests.test_svmlight_format.test_load_with_offsets(1, 13, 7) ... ok
sklearn.datasets.tests.test_svmlight_format.test_load_with_offsets(1, 13, 41) ... ok
sklearn.datasets.tests.test_svmlight_format.test_load_with_offsets(1, 101, 2) ... ok
sklearn.datasets.tests.test_svmlight_format.test_load_with_offsets(1, 101, 7) ... ok
sklearn.datasets.tests.test_svmlight_format.test_load_with_offsets(1, 101, 41) ... ok
sklearn.datasets.tests.test_svmlight_format.test_load_offset_exhaustive_splits ... ok
sklearn.datasets.tests.test_svmlight_format.test_load_with_offsets_error ... ok
sklearn.decomposition.tests.test_dict_learning.test_sparse_encode_shapes_omp ... ok
sklearn.decomposition.tests.test_dict_learning.test_dict_learning_shapes ... ok
sklearn.decomposition.tests.test_dict_learning.test_dict_learning_overcomplete ... ok
sklearn.decomposition.tests.test_dict_learning.test_dict_learning_reconstruction ... ok
sklearn.decomposition.tests.test_dict_learning.test_dict_learning_reconstruction_parallel ... ok
sklearn.decomposition.tests.test_dict_learning.test_dict_learning_lassocd_readonly_data ... ok
sklearn.decomposition.tests.test_dict_learning.test_dict_learning_nonzero_coefs ... ok
sklearn.decomposition.tests.test_dict_learning.test_dict_learning_unknown_fit_algorithm ... ok
sklearn.decomposition.tests.test_dict_learning.test_dict_learning_split ... ok
sklearn.decomposition.tests.test_dict_learning.test_dict_learning_online_shapes ... ok
sklearn.decomposition.tests.test_dict_learning.test_dict_learning_online_verbosity ... ok
sklearn.decomposition.tests.test_dict_learning.test_dict_learning_online_estimator_shapes ... ok
sklearn.decomposition.tests.test_dict_learning.test_dict_learning_online_overcomplete ... ok
sklearn.decomposition.tests.test_dict_learning.test_dict_learning_online_initialization ... ok
sklearn.decomposition.tests.test_dict_learning.test_dict_learning_online_partial_fit ... ok
sklearn.decomposition.tests.test_dict_learning.test_sparse_encode_shapes ... ok
sklearn.decomposition.tests.test_dict_learning.test_sparse_encode_input ... ok
sklearn.decomposition.tests.test_dict_learning.test_sparse_encode_error ... ok
sklearn.decomposition.tests.test_dict_learning.test_sparse_encode_error_default_sparsity ... ok
sklearn.decomposition.tests.test_dict_learning.test_unknown_method ... ok
sklearn.decomposition.tests.test_dict_learning.test_sparse_coder_estimator ... ok
sklearn.decomposition.tests.test_factor_analysis.test_factor_analysis ... ok
sklearn.decomposition.tests.test_fastica.test_gs ... ok
sklearn.decomposition.tests.test_fastica.test_fastica_simple ... ok
sklearn.decomposition.tests.test_fastica.test_fastica_nowhiten ... ok
sklearn.decomposition.tests.test_fastica.test_non_square_fastica ... ok
sklearn.decomposition.tests.test_fastica.test_fit_transform ... ok
sklearn.decomposition.tests.test_fastica.test_inverse_transform ... ok
sklearn.decomposition.tests.test_incremental_pca.test_incremental_pca ... ok
sklearn.decomposition.tests.test_incremental_pca.test_incremental_pca_check_projection ... ok
sklearn.decomposition.tests.test_incremental_pca.test_incremental_pca_inverse ... ok
sklearn.decomposition.tests.test_incremental_pca.test_incremental_pca_validation ... ok
sklearn.decomposition.tests.test_incremental_pca.test_incremental_pca_set_params ... ok
sklearn.decomposition.tests.test_incremental_pca.test_incremental_pca_num_features_change ... ok
sklearn.decomposition.tests.test_incremental_pca.test_incremental_pca_batch_signs ... ok
sklearn.decomposition.tests.test_incremental_pca.test_incremental_pca_batch_values ... ok
sklearn.decomposition.tests.test_incremental_pca.test_incremental_pca_partial_fit ... ok
sklearn.decomposition.tests.test_incremental_pca.test_incremental_pca_against_pca_iris ... ok
sklearn.decomposition.tests.test_incremental_pca.test_incremental_pca_against_pca_random_data ... ok
sklearn.decomposition.tests.test_incremental_pca.test_explained_variances ... ok
sklearn.decomposition.tests.test_incremental_pca.test_singular_values ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/datasets/samples_generator.py:1046: RuntimeWarning: underflow encountered in exp
np.exp(-1.0 * (singular_ind / effective_rank) ** 2))
ok
sklearn.decomposition.tests.test_incremental_pca.test_whitening ... ok
sklearn.decomposition.tests.test_kernel_pca.test_kernel_pca ... ok
sklearn.decomposition.tests.test_kernel_pca.test_kernel_pca_invalid_parameters ... ok
sklearn.decomposition.tests.test_kernel_pca.test_kernel_pca_consistent_transform ... ok
sklearn.decomposition.tests.test_kernel_pca.test_kernel_pca_sparse ... ok
sklearn.decomposition.tests.test_kernel_pca.test_kernel_pca_linear_kernel ... ok
sklearn.decomposition.tests.test_kernel_pca.test_kernel_pca_n_components ... ok
sklearn.decomposition.tests.test_kernel_pca.test_remove_zero_eig ... ok
sklearn.decomposition.tests.test_kernel_pca.test_kernel_pca_precomputed ... ok
sklearn.decomposition.tests.test_kernel_pca.test_kernel_pca_invalid_kernel ... ok
sklearn.decomposition.tests.test_kernel_pca.test_gridsearch_pipeline ... ok
sklearn.decomposition.tests.test_kernel_pca.test_gridsearch_pipeline_precomputed ... ok
sklearn.decomposition.tests.test_kernel_pca.test_nested_circles ... ok
sklearn.decomposition.tests.test_nmf.test_initialize_nn_output ... ok
sklearn.decomposition.tests.test_nmf.test_parameter_checking ... ok
sklearn.decomposition.tests.test_nmf.test_initialize_close ... ok
sklearn.decomposition.tests.test_nmf.test_initialize_variants ... ok
sklearn.decomposition.tests.test_nmf.test_nmf_fit_close ... ok
sklearn.decomposition.tests.test_nmf.test_nmf_transform ... ok
sklearn.decomposition.tests.test_nmf.test_nmf_transform_custom_init ... ok
sklearn.decomposition.tests.test_nmf.test_nmf_inverse_transform ... ok
sklearn.decomposition.tests.test_nmf.test_n_components_greater_n_features ... ok
sklearn.decomposition.tests.test_nmf.test_nmf_sparse_input ... ok
sklearn.decomposition.tests.test_nmf.test_nmf_sparse_transform ... ok
sklearn.decomposition.tests.test_nmf.test_non_negative_factorization_consistency ... ok
sklearn.decomposition.tests.test_nmf.test_non_negative_factorization_checking ... ok
sklearn.decomposition.tests.test_nmf.test_beta_divergence ... ok
sklearn.decomposition.tests.test_nmf.test_nmf_decreasing ... ok
sklearn.decomposition.tests.test_nmf.test_nmf_fit_nn_output ... ok
sklearn.decomposition.tests.test_nmf.test_nmf_multiplicative_update_sparse ... ok
sklearn.decomposition.tests.test_nmf.test_special_sparse_dot ... ok
sklearn.decomposition.tests.test_nmf.test_nmf_negative_beta_loss ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/decomposition/nmf.py:788: RuntimeWarning: underflow encountered in multiply
H *= delta_H
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/decomposition/nmf.py:165: RuntimeWarning: underflow encountered in multiply
dot_vals = np.multiply(W[ii, :], H.T[jj, :]).sum(axis=1)
ok
sklearn.decomposition.tests.test_nmf.test_nmf_regularization ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/decomposition/nmf.py:778: RuntimeWarning: underflow encountered in multiply
W *= delta_W
ok
sklearn.decomposition.tests.test_online_lda.test_lda_default_prior_params ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/decomposition/online_lda.py:536: DeprecationWarning: The default value for 'learning_method' will be changed from 'online' to 'batch' in the release 0.20. This warning was introduced in 0.18.
DeprecationWarning)
ok
sklearn.decomposition.tests.test_online_lda.test_lda_fit_batch ... ok
sklearn.decomposition.tests.test_online_lda.test_lda_fit_online ... ok
sklearn.decomposition.tests.test_online_lda.test_lda_partial_fit ... ok
sklearn.decomposition.tests.test_online_lda.test_lda_dense_input ... ok
sklearn.decomposition.tests.test_online_lda.test_lda_transform ... ok
sklearn.decomposition.tests.test_online_lda.test_lda_fit_transform ... ok
sklearn.decomposition.tests.test_online_lda.test_lda_partial_fit_dim_mismatch ... ok
sklearn.decomposition.tests.test_online_lda.test_invalid_params ... ok
sklearn.decomposition.tests.test_online_lda.test_lda_negative_input ... ok
sklearn.decomposition.tests.test_online_lda.test_lda_no_component_error ... ok
sklearn.decomposition.tests.test_online_lda.test_lda_transform_mismatch ... ok
sklearn.decomposition.tests.test_online_lda.test_lda_preplexity_mismatch ... ok
sklearn.decomposition.tests.test_online_lda.test_lda_perplexity ... ok
sklearn.decomposition.tests.test_online_lda.test_lda_score ... ok
sklearn.decomposition.tests.test_online_lda.test_perplexity_input_format ... ok
sklearn.decomposition.tests.test_online_lda.test_lda_score_perplexity ... ok
sklearn.decomposition.tests.test_online_lda.test_lda_fit_perplexity ... ok
sklearn.decomposition.tests.test_online_lda.test_doc_topic_distr_deprecation ... ok
Test LDA on empty document (all-zero rows). ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/decomposition/online_lda.py:536: DeprecationWarning: The default value for 'learning_method' will be changed from 'online' to 'batch' in the release 0.20. This warning was introduced in 0.18.
DeprecationWarning)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/decomposition/online_lda.py:780: RuntimeWarning: divide by zero encountered in double_scalars
perword_bound = bound / word_cnt
ok
Test Cython version of Dirichlet expectation calculation. ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/decomposition/tests/test_online_lda.py:375: RuntimeWarning: underflow encountered in exp
assert_allclose(expectation, np.exp(psi(x) - psi(np.sum(x))),
/usr/lib/python3/dist-packages/numpy/core/numeric.py:2321: RuntimeWarning: underflow encountered in multiply
return less_equal(abs(x-y), atol + rtol * abs(y))
ok
sklearn.decomposition.tests.test_online_lda.test_verbosity(False, 1, 0, 0) ... ok
sklearn.decomposition.tests.test_online_lda.test_verbosity(False, 0, 0, 0) ... ok
sklearn.decomposition.tests.test_online_lda.test_verbosity(True, 0, 3, 0) ... ok
sklearn.decomposition.tests.test_online_lda.test_verbosity(True, 1, 3, 3) ... ok
sklearn.decomposition.tests.test_online_lda.test_verbosity(True, 2, 3, 1) ... ok
sklearn.decomposition.tests.test_online_lda.test_lda_n_topics_deprecation ... ok
sklearn.decomposition.tests.test_online_lda.test_lda_multi_jobs ... ok
sklearn.decomposition.tests.test_online_lda.test_lda_partial_fit_multi_jobs ... ok
sklearn.decomposition.tests.test_pca.test_pca ... ok
sklearn.decomposition.tests.test_pca.test_pca_arpack_solver ... ok
sklearn.decomposition.tests.test_pca.test_pca_randomized_solver ... ok
sklearn.decomposition.tests.test_pca.test_no_empty_slice_warning ... ok
sklearn.decomposition.tests.test_pca.test_whitening ... ok
sklearn.decomposition.tests.test_pca.test_singular_values ... ok
sklearn.decomposition.tests.test_pca.test_explained_variance ... ok
sklearn.decomposition.tests.test_pca.test_pca_check_projection ... ok
sklearn.decomposition.tests.test_pca.test_pca_inverse ... ok
sklearn.decomposition.tests.test_pca.test_pca_validation ... ok
sklearn.decomposition.tests.test_pca.test_randomized_pca_check_projection ... ok
sklearn.decomposition.tests.test_pca.test_randomized_pca_check_list ... ok
sklearn.decomposition.tests.test_pca.test_randomized_pca_inverse ... ok
sklearn.decomposition.tests.test_pca.test_pca_dim ... ok
sklearn.decomposition.tests.test_pca.test_infer_dim_1 ... ok
sklearn.decomposition.tests.test_pca.test_infer_dim_2 ... ok
sklearn.decomposition.tests.test_pca.test_infer_dim_3 ... ok
sklearn.decomposition.tests.test_pca.test_infer_dim_by_explained_variance ... ok
sklearn.decomposition.tests.test_pca.test_pca_score ... ok
sklearn.decomposition.tests.test_pca.test_pca_score2 ... ok
sklearn.decomposition.tests.test_pca.test_pca_score3 ... ok
sklearn.decomposition.tests.test_pca.test_pca_score_with_different_solvers ... ok
sklearn.decomposition.tests.test_pca.test_pca_zero_noise_variance_edge_cases ... ok
sklearn.decomposition.tests.test_pca.test_svd_solver_auto ... ok
sklearn.decomposition.tests.test_pca.test_deprecation_randomized_pca ... ok
sklearn.decomposition.tests.test_pca.test_pca_sparse_input ... ok
sklearn.decomposition.tests.test_pca.test_pca_bad_solver ... ok
sklearn.decomposition.tests.test_pca.test_pca_dtype_preservation('full',) ... ok
sklearn.decomposition.tests.test_pca.test_pca_dtype_preservation('full',) ... ok
sklearn.decomposition.tests.test_pca.test_pca_dtype_preservation('arpack',) ... ok
sklearn.decomposition.tests.test_pca.test_pca_dtype_preservation('arpack',) ... ok
sklearn.decomposition.tests.test_pca.test_pca_dtype_preservation('randomized',) ... ok
sklearn.decomposition.tests.test_pca.test_pca_dtype_preservation('randomized',) ... ok
sklearn.decomposition.tests.test_pca.test_pca_dtype_preservation('auto',) ... ok
sklearn.decomposition.tests.test_pca.test_pca_dtype_preservation('auto',) ... ok
sklearn.decomposition.tests.test_sparse_pca.test_correct_shapes ... ok
sklearn.decomposition.tests.test_sparse_pca.test_fit_transform ... ok
sklearn.decomposition.tests.test_sparse_pca.test_transform_nan ... ok
sklearn.decomposition.tests.test_sparse_pca.test_fit_transform_tall ... ok
sklearn.decomposition.tests.test_sparse_pca.test_initialization ... ok
sklearn.decomposition.tests.test_sparse_pca.test_mini_batch_correct_shapes ... ok
sklearn.decomposition.tests.test_sparse_pca.test_mini_batch_fit_transform ... SKIP: skipping mini_batch_fit_transform.
sklearn.decomposition.tests.test_sparse_pca.test_fit_transform_parallel ... ok
sklearn.decomposition.tests.test_truncated_svd.test_algorithms ... ok
sklearn.decomposition.tests.test_truncated_svd.test_attributes ... ok
sklearn.decomposition.tests.test_truncated_svd.test_too_many_components ... ok
sklearn.decomposition.tests.test_truncated_svd.test_sparse_formats ... ok
sklearn.decomposition.tests.test_truncated_svd.test_inverse_transform ... ok
sklearn.decomposition.tests.test_truncated_svd.test_integers ... ok
sklearn.decomposition.tests.test_truncated_svd.test_explained_variance ... ok
sklearn.decomposition.tests.test_truncated_svd.test_singular_values ... ok
sklearn.ensemble.tests.test_bagging.test_classification ... ok
sklearn.ensemble.tests.test_bagging.test_sparse_classification ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/ensemble/bagging.py:748: RuntimeWarning: divide by zero encountered in log
return np.log(self.predict_proba(X))
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/ensemble/bagging.py:748: RuntimeWarning: divide by zero encountered in log
return np.log(self.predict_proba(X))
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/ensemble/bagging.py:748: RuntimeWarning: divide by zero encountered in log
return np.log(self.predict_proba(X))
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/ensemble/bagging.py:748: RuntimeWarning: divide by zero encountered in log
return np.log(self.predict_proba(X))
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/ensemble/bagging.py:748: RuntimeWarning: divide by zero encountered in log
return np.log(self.predict_proba(X))
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/ensemble/bagging.py:748: RuntimeWarning: divide by zero encountered in log
return np.log(self.predict_proba(X))
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/ensemble/bagging.py:748: RuntimeWarning: divide by zero encountered in log
return np.log(self.predict_proba(X))
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/ensemble/bagging.py:748: RuntimeWarning: divide by zero encountered in log
return np.log(self.predict_proba(X))
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/ensemble/bagging.py:748: RuntimeWarning: divide by zero encountered in log
return np.log(self.predict_proba(X))
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/ensemble/bagging.py:748: RuntimeWarning: divide by zero encountered in log
return np.log(self.predict_proba(X))
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/ensemble/bagging.py:748: RuntimeWarning: divide by zero encountered in log
return np.log(self.predict_proba(X))
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/ensemble/bagging.py:748: RuntimeWarning: divide by zero encountered in log
return np.log(self.predict_proba(X))
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/ensemble/bagging.py:748: RuntimeWarning: divide by zero encountered in log
return np.log(self.predict_proba(X))
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/ensemble/bagging.py:748: RuntimeWarning: divide by zero encountered in log
return np.log(self.predict_proba(X))
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/ensemble/bagging.py:748: RuntimeWarning: divide by zero encountered in log
return np.log(self.predict_proba(X))
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/ensemble/bagging.py:748: RuntimeWarning: divide by zero encountered in log
return np.log(self.predict_proba(X))
ok
sklearn.ensemble.tests.test_bagging.test_regression ... ok
sklearn.ensemble.tests.test_bagging.test_sparse_regression ... ok
sklearn.ensemble.tests.test_bagging.test_bootstrap_samples ... ok
sklearn.ensemble.tests.test_bagging.test_bootstrap_features ... ok
sklearn.ensemble.tests.test_bagging.test_probability ... ok
sklearn.ensemble.tests.test_bagging.test_oob_score_classification ... ok
sklearn.ensemble.tests.test_bagging.test_oob_score_regression ... ok
sklearn.ensemble.tests.test_bagging.test_single_estimator ... ok
sklearn.ensemble.tests.test_bagging.test_error ... ok
sklearn.ensemble.tests.test_bagging.test_parallel_classification ... ok
sklearn.ensemble.tests.test_bagging.test_parallel_regression ... ok
sklearn.ensemble.tests.test_bagging.test_gridsearch ... ok
sklearn.ensemble.tests.test_bagging.test_base_estimator ... ok
sklearn.ensemble.tests.test_bagging.test_bagging_with_pipeline ... ok
sklearn.ensemble.tests.test_bagging.test_bagging_sample_weight_unsupported_but_passed ... ok
sklearn.ensemble.tests.test_bagging.test_warm_start ... ok
sklearn.ensemble.tests.test_bagging.test_warm_start_smaller_n_estimators ... ok
sklearn.ensemble.tests.test_bagging.test_warm_start_equal_n_estimators ... ok
sklearn.ensemble.tests.test_bagging.test_warm_start_equivalence ... ok
sklearn.ensemble.tests.test_bagging.test_warm_start_with_oob_score_fails ... ok
sklearn.ensemble.tests.test_bagging.test_oob_score_removed_on_warm_start ... ok
sklearn.ensemble.tests.test_bagging.test_oob_score_consistency ... ok
sklearn.ensemble.tests.test_bagging.test_estimators_samples ... ok
sklearn.ensemble.tests.test_bagging.test_max_samples_consistency ... ok
sklearn.ensemble.tests.test_bagging.test_set_oob_score_label_encoding ... ok
sklearn.ensemble.tests.test_base.test_base ... ok
sklearn.ensemble.tests.test_base.test_base_zero_n_estimators ... ok
sklearn.ensemble.tests.test_base.test_base_not_int_n_estimators ... ok
sklearn.ensemble.tests.test_base.test_set_random_states ... ok
sklearn.ensemble.tests.test_forest.test_classification_toy('ExtraTreesClassifier',) ... ok
sklearn.ensemble.tests.test_forest.test_classification_toy('RandomForestClassifier',) ... ok
sklearn.ensemble.tests.test_forest.test_iris('ExtraTreesClassifier', 'gini') ... ok
sklearn.ensemble.tests.test_forest.test_iris('ExtraTreesClassifier', 'entropy') ... ok
sklearn.ensemble.tests.test_forest.test_iris('RandomForestClassifier', 'gini') ... ok
sklearn.ensemble.tests.test_forest.test_iris('RandomForestClassifier', 'entropy') ... ok
sklearn.ensemble.tests.test_forest.test_boston('ExtraTreesRegressor', 'mse') ... ok
sklearn.ensemble.tests.test_forest.test_boston('ExtraTreesRegressor', 'mae') ... ok
sklearn.ensemble.tests.test_forest.test_boston('ExtraTreesRegressor', 'friedman_mse') ... ok
sklearn.ensemble.tests.test_forest.test_boston('RandomForestRegressor', 'mse') ... ok
sklearn.ensemble.tests.test_forest.test_boston('RandomForestRegressor', 'mae') ... ok
sklearn.ensemble.tests.test_forest.test_boston('RandomForestRegressor', 'friedman_mse') ... ok
sklearn.ensemble.tests.test_forest.test_regressor_attributes('ExtraTreesRegressor',) ... ok
sklearn.ensemble.tests.test_forest.test_regressor_attributes('RandomForestRegressor',) ... ok
sklearn.ensemble.tests.test_forest.test_probability('ExtraTreesClassifier',) ... ok
sklearn.ensemble.tests.test_forest.test_probability('RandomForestClassifier',) ... ok
sklearn.ensemble.tests.test_forest.test_importances('ExtraTreesClassifier', 'gini', <class 'numpy.float64'>, 0.01) ... ok
sklearn.ensemble.tests.test_forest.test_importances('ExtraTreesClassifier', 'entropy', <class 'numpy.float64'>, 0.01) ... ok
sklearn.ensemble.tests.test_forest.test_importances('RandomForestClassifier', 'gini', <class 'numpy.float64'>, 0.01) ... ok
sklearn.ensemble.tests.test_forest.test_importances('RandomForestClassifier', 'entropy', <class 'numpy.float64'>, 0.01) ... ok
sklearn.ensemble.tests.test_forest.test_importances('ExtraTreesRegressor', 'mse', <class 'numpy.float64'>, 0.01) ... ok
sklearn.ensemble.tests.test_forest.test_importances('ExtraTreesRegressor', 'friedman_mse', <class 'numpy.float64'>, 0.01) ... ok
sklearn.ensemble.tests.test_forest.test_importances('ExtraTreesRegressor', 'mae', <class 'numpy.float64'>, 0.05) ... ok
sklearn.ensemble.tests.test_forest.test_importances('RandomForestRegressor', 'mse', <class 'numpy.float64'>, 0.01) ... ok
sklearn.ensemble.tests.test_forest.test_importances('RandomForestRegressor', 'friedman_mse', <class 'numpy.float64'>, 0.01) ... ok
sklearn.ensemble.tests.test_forest.test_importances('RandomForestRegressor', 'mae', <class 'numpy.float64'>, 0.05) ... ok
sklearn.ensemble.tests.test_forest.test_importances('ExtraTreesClassifier', 'gini', <class 'numpy.float32'>, 0.01) ... ok
sklearn.ensemble.tests.test_forest.test_importances('ExtraTreesClassifier', 'entropy', <class 'numpy.float32'>, 0.01) ... ok
sklearn.ensemble.tests.test_forest.test_importances('RandomForestClassifier', 'gini', <class 'numpy.float32'>, 0.01) ... ok
sklearn.ensemble.tests.test_forest.test_importances('RandomForestClassifier', 'entropy', <class 'numpy.float32'>, 0.01) ... ok
sklearn.ensemble.tests.test_forest.test_importances('ExtraTreesRegressor', 'mse', <class 'numpy.float32'>, 0.01) ... ok
sklearn.ensemble.tests.test_forest.test_importances('ExtraTreesRegressor', 'friedman_mse', <class 'numpy.float32'>, 0.01) ... ok
sklearn.ensemble.tests.test_forest.test_importances('ExtraTreesRegressor', 'mae', <class 'numpy.float32'>, 0.05) ... ok
sklearn.ensemble.tests.test_forest.test_importances('RandomForestRegressor', 'mse', <class 'numpy.float32'>, 0.01) ... ok
sklearn.ensemble.tests.test_forest.test_importances('RandomForestRegressor', 'friedman_mse', <class 'numpy.float32'>, 0.01) ... ok
sklearn.ensemble.tests.test_forest.test_importances('RandomForestRegressor', 'mae', <class 'numpy.float32'>, 0.05) ... ok
sklearn.ensemble.tests.test_forest.test_importances_asymptotic ... ok
sklearn.ensemble.tests.test_forest.test_1d_input ... ok
sklearn.ensemble.tests.test_forest.test_random_hasher ... ok
sklearn.ensemble.tests.test_forest.test_unfitted_feature_importances('ExtraTreesClassifier',) ... ok
sklearn.ensemble.tests.test_forest.test_unfitted_feature_importances('RandomForestClassifier',) ... ok
sklearn.ensemble.tests.test_forest.test_unfitted_feature_importances('ExtraTreesRegressor',) ... ok
sklearn.ensemble.tests.test_forest.test_unfitted_feature_importances('RandomForestRegressor',) ... ok
sklearn.ensemble.tests.test_forest.test_unfitted_feature_importances('RandomTreesEmbedding',) ... ok
sklearn.ensemble.tests.test_forest.test_oob_score('ExtraTreesClassifier', array([[5.8, 2.8, 5.1, 2.4], ... ok
sklearn.ensemble.tests.test_forest.test_oob_score('ExtraTreesClassifier', <150x4 sparse matrix of type '<class 'numpy.float64'>' ... ok
sklearn.ensemble.tests.test_forest.test_oob_score('ExtraTreesClassifier', array([[5.8, 2.8, 5.1, 2.4], ... ok
sklearn.ensemble.tests.test_forest.test_oob_score('RandomForestClassifier', array([[5.8, 2.8, 5.1, 2.4], ... ok
sklearn.ensemble.tests.test_forest.test_oob_score('RandomForestClassifier', <150x4 sparse matrix of type '<class 'numpy.float64'>' ... ok
sklearn.ensemble.tests.test_forest.test_oob_score('RandomForestClassifier', array([[5.8, 2.8, 5.1, 2.4], ... ok
sklearn.ensemble.tests.test_forest.test_oob_score('ExtraTreesRegressor', array([[3.16360e+00, 0.00000e+00, 1.81000e+01, ..., 2.02000e+01, ... ok
sklearn.ensemble.tests.test_forest.test_oob_score('ExtraTreesRegressor', <506x13 sparse matrix of type '<class 'numpy.float64'>' ... ok
sklearn.ensemble.tests.test_forest.test_oob_score('RandomForestRegressor', array([[3.16360e+00, 0.00000e+00, 1.81000e+01, ..., 2.02000e+01, ... ok
sklearn.ensemble.tests.test_forest.test_oob_score('RandomForestRegressor', <506x13 sparse matrix of type '<class 'numpy.float64'>' ... ok
sklearn.ensemble.tests.test_forest.test_oob_score_raise_error('ExtraTreesClassifier',) ... ok
sklearn.ensemble.tests.test_forest.test_oob_score_raise_error('RandomForestClassifier',) ... ok
sklearn.ensemble.tests.test_forest.test_oob_score_raise_error('ExtraTreesRegressor',) ... ok
sklearn.ensemble.tests.test_forest.test_oob_score_raise_error('RandomForestRegressor',) ... ok
sklearn.ensemble.tests.test_forest.test_oob_score_raise_error('RandomTreesEmbedding',) ... ok
sklearn.ensemble.tests.test_forest.test_gridsearch('ExtraTreesClassifier',) ... ok
sklearn.ensemble.tests.test_forest.test_gridsearch('RandomForestClassifier',) ... ok
sklearn.ensemble.tests.test_forest.test_parallel('ExtraTreesClassifier', array([[5.8, 2.8, 5.1, 2.4], ... ok
sklearn.ensemble.tests.test_forest.test_parallel('RandomForestClassifier', array([[5.8, 2.8, 5.1, 2.4], ... ok
sklearn.ensemble.tests.test_forest.test_parallel('ExtraTreesRegressor', array([[3.16360e+00, 0.00000e+00, 1.81000e+01, ..., 2.02000e+01, ... ok
sklearn.ensemble.tests.test_forest.test_parallel('RandomForestRegressor', array([[3.16360e+00, 0.00000e+00, 1.81000e+01, ..., 2.02000e+01, ... ok
sklearn.ensemble.tests.test_forest.test_pickle('ExtraTreesClassifier', array([[5.8, 2.8, 5.1, 2.4], ... ok
sklearn.ensemble.tests.test_forest.test_pickle('RandomForestClassifier', array([[5.8, 2.8, 5.1, 2.4], ... ok
sklearn.ensemble.tests.test_forest.test_pickle('ExtraTreesRegressor', array([[3.16360e+00, 0.00000e+00, 1.81000e+01, ..., 2.02000e+01, ... ok
sklearn.ensemble.tests.test_forest.test_pickle('RandomForestRegressor', array([[3.16360e+00, 0.00000e+00, 1.81000e+01, ..., 2.02000e+01, ... ok
sklearn.ensemble.tests.test_forest.test_multioutput('ExtraTreesClassifier',) ... ok
sklearn.ensemble.tests.test_forest.test_multioutput('RandomForestClassifier',) ... ok
sklearn.ensemble.tests.test_forest.test_multioutput('ExtraTreesRegressor',) ... ok
sklearn.ensemble.tests.test_forest.test_multioutput('RandomForestRegressor',) ... ok
sklearn.ensemble.tests.test_forest.test_classes_shape('ExtraTreesClassifier',) ... ok
sklearn.ensemble.tests.test_forest.test_classes_shape('RandomForestClassifier',) ... ok
sklearn.ensemble.tests.test_forest.test_random_trees_dense_type ... ok
sklearn.ensemble.tests.test_forest.test_random_trees_dense_equal ... ok
sklearn.ensemble.tests.test_forest.test_random_hasher_sparse_data ... ok
sklearn.ensemble.tests.test_forest.test_parallel_train ... ok
sklearn.ensemble.tests.test_forest.test_distribution ... ok
sklearn.ensemble.tests.test_forest.test_max_leaf_nodes_max_depth('ExtraTreesClassifier',) ... ok
sklearn.ensemble.tests.test_forest.test_max_leaf_nodes_max_depth('RandomForestClassifier',) ... ok
sklearn.ensemble.tests.test_forest.test_max_leaf_nodes_max_depth('ExtraTreesRegressor',) ... ok
sklearn.ensemble.tests.test_forest.test_max_leaf_nodes_max_depth('RandomForestRegressor',) ... ok
sklearn.ensemble.tests.test_forest.test_max_leaf_nodes_max_depth('RandomTreesEmbedding',) ... ok
sklearn.ensemble.tests.test_forest.test_min_samples_split('ExtraTreesClassifier',) ... ok
sklearn.ensemble.tests.test_forest.test_min_samples_split('RandomForestClassifier',) ... ok
sklearn.ensemble.tests.test_forest.test_min_samples_split('ExtraTreesRegressor',) ... ok
sklearn.ensemble.tests.test_forest.test_min_samples_split('RandomForestRegressor',) ... ok
sklearn.ensemble.tests.test_forest.test_min_samples_split('RandomTreesEmbedding',) ... ok
sklearn.ensemble.tests.test_forest.test_min_samples_leaf('ExtraTreesClassifier',) ... ok
sklearn.ensemble.tests.test_forest.test_min_samples_leaf('RandomForestClassifier',) ... ok
sklearn.ensemble.tests.test_forest.test_min_samples_leaf('ExtraTreesRegressor',) ... ok
sklearn.ensemble.tests.test_forest.test_min_samples_leaf('RandomForestRegressor',) ... ok
sklearn.ensemble.tests.test_forest.test_min_samples_leaf('RandomTreesEmbedding',) ... ok
sklearn.ensemble.tests.test_forest.test_min_weight_fraction_leaf('ExtraTreesClassifier',) ... ok
sklearn.ensemble.tests.test_forest.test_min_weight_fraction_leaf('RandomForestClassifier',) ... ok
sklearn.ensemble.tests.test_forest.test_min_weight_fraction_leaf('ExtraTreesRegressor',) ... ok
sklearn.ensemble.tests.test_forest.test_min_weight_fraction_leaf('RandomForestRegressor',) ... ok
sklearn.ensemble.tests.test_forest.test_min_weight_fraction_leaf('RandomTreesEmbedding',) ... ok
sklearn.ensemble.tests.test_forest.test_sparse_input('ExtraTreesClassifier', array([[ 3., 1., 4., 0., 3., 0., 7., 2., 1., 0., 5., 3., 4., ... ok
sklearn.ensemble.tests.test_forest.test_sparse_input('ExtraTreesClassifier', array([[ 3., 1., 4., 0., 3., 0., 7., 2., 1., 0., 5., 3., 4., ... ok
sklearn.ensemble.tests.test_forest.test_sparse_input('ExtraTreesClassifier', array([[ 3., 1., 4., 0., 3., 0., 7., 2., 1., 0., 5., 3., 4., ... ok
sklearn.ensemble.tests.test_forest.test_sparse_input('RandomForestClassifier', array([[ 3., 1., 4., 0., 3., 0., 7., 2., 1., 0., 5., 3., 4., ... ok
sklearn.ensemble.tests.test_forest.test_sparse_input('RandomForestClassifier', array([[ 3., 1., 4., 0., 3., 0., 7., 2., 1., 0., 5., 3., 4., ... ok
sklearn.ensemble.tests.test_forest.test_sparse_input('RandomForestClassifier', array([[ 3., 1., 4., 0., 3., 0., 7., 2., 1., 0., 5., 3., 4., ... ok
sklearn.ensemble.tests.test_forest.test_sparse_input('ExtraTreesRegressor', array([[ 3., 1., 4., 0., 3., 0., 7., 2., 1., 0., 5., 3., 4., ... ok
sklearn.ensemble.tests.test_forest.test_sparse_input('ExtraTreesRegressor', array([[ 3., 1., 4., 0., 3., 0., 7., 2., 1., 0., 5., 3., 4., ... ok
sklearn.ensemble.tests.test_forest.test_sparse_input('ExtraTreesRegressor', array([[ 3., 1., 4., 0., 3., 0., 7., 2., 1., 0., 5., 3., 4., ... ok
sklearn.ensemble.tests.test_forest.test_sparse_input('RandomForestRegressor', array([[ 3., 1., 4., 0., 3., 0., 7., 2., 1., 0., 5., 3., 4., ... ok
sklearn.ensemble.tests.test_forest.test_sparse_input('RandomForestRegressor', array([[ 3., 1., 4., 0., 3., 0., 7., 2., 1., 0., 5., 3., 4., ... ok
sklearn.ensemble.tests.test_forest.test_sparse_input('RandomForestRegressor', array([[ 3., 1., 4., 0., 3., 0., 7., 2., 1., 0., 5., 3., 4., ... ok
sklearn.ensemble.tests.test_forest.test_sparse_input('RandomTreesEmbedding', array([[ 3., 1., 4., 0., 3., 0., 7., 2., 1., 0., 5., 3., 4., ... ok
sklearn.ensemble.tests.test_forest.test_sparse_input('RandomTreesEmbedding', array([[ 3., 1., 4., 0., 3., 0., 7., 2., 1., 0., 5., 3., 4., ... ok
sklearn.ensemble.tests.test_forest.test_sparse_input('RandomTreesEmbedding', array([[ 3., 1., 4., 0., 3., 0., 7., 2., 1., 0., 5., 3., 4., ... ok
sklearn.ensemble.tests.test_forest.test_memory_layout('ExtraTreesClassifier', <class 'numpy.float64'>) ... ok
sklearn.ensemble.tests.test_forest.test_memory_layout('ExtraTreesClassifier', <class 'numpy.float32'>) ... ok
sklearn.ensemble.tests.test_forest.test_memory_layout('RandomForestClassifier', <class 'numpy.float64'>) ... ok
sklearn.ensemble.tests.test_forest.test_memory_layout('RandomForestClassifier', <class 'numpy.float32'>) ... ok
sklearn.ensemble.tests.test_forest.test_memory_layout('ExtraTreesRegressor', <class 'numpy.float64'>) ... ok
sklearn.ensemble.tests.test_forest.test_memory_layout('ExtraTreesRegressor', <class 'numpy.float32'>) ... ok
sklearn.ensemble.tests.test_forest.test_memory_layout('RandomForestRegressor', <class 'numpy.float64'>) ... ok
sklearn.ensemble.tests.test_forest.test_memory_layout('RandomForestRegressor', <class 'numpy.float32'>) ... ok
sklearn.ensemble.tests.test_forest.test_class_weights('ExtraTreesClassifier',) ... ok
sklearn.ensemble.tests.test_forest.test_class_weights('RandomForestClassifier',) ... ok
sklearn.ensemble.tests.test_forest.test_class_weight_balanced_and_bootstrap_multi_output('ExtraTreesClassifier',) ... ok
sklearn.ensemble.tests.test_forest.test_class_weight_balanced_and_bootstrap_multi_output('RandomForestClassifier',) ... ok
sklearn.ensemble.tests.test_forest.test_class_weight_errors('ExtraTreesClassifier',) ... ok
sklearn.ensemble.tests.test_forest.test_class_weight_errors('RandomForestClassifier',) ... ok
sklearn.ensemble.tests.test_forest.test_warm_start('ExtraTreesClassifier',) ... ok
sklearn.ensemble.tests.test_forest.test_warm_start('RandomForestClassifier',) ... ok
sklearn.ensemble.tests.test_forest.test_warm_start('ExtraTreesRegressor',) ... ok
sklearn.ensemble.tests.test_forest.test_warm_start('RandomForestRegressor',) ... ok
sklearn.ensemble.tests.test_forest.test_warm_start('RandomTreesEmbedding',) ... ok
sklearn.ensemble.tests.test_forest.test_warm_start_clear('ExtraTreesClassifier',) ... ok
sklearn.ensemble.tests.test_forest.test_warm_start_clear('RandomForestClassifier',) ... ok
sklearn.ensemble.tests.test_forest.test_warm_start_clear('ExtraTreesRegressor',) ... ok
sklearn.ensemble.tests.test_forest.test_warm_start_clear('RandomForestRegressor',) ... ok
sklearn.ensemble.tests.test_forest.test_warm_start_clear('RandomTreesEmbedding',) ... ok
sklearn.ensemble.tests.test_forest.test_warm_start_smaller_n_estimators('ExtraTreesClassifier',) ... ok
sklearn.ensemble.tests.test_forest.test_warm_start_smaller_n_estimators('RandomForestClassifier',) ... ok
sklearn.ensemble.tests.test_forest.test_warm_start_smaller_n_estimators('ExtraTreesRegressor',) ... ok
sklearn.ensemble.tests.test_forest.test_warm_start_smaller_n_estimators('RandomForestRegressor',) ... ok
sklearn.ensemble.tests.test_forest.test_warm_start_smaller_n_estimators('RandomTreesEmbedding',) ... ok
sklearn.ensemble.tests.test_forest.test_warm_start_equal_n_estimators('ExtraTreesClassifier',) ... ok
sklearn.ensemble.tests.test_forest.test_warm_start_equal_n_estimators('RandomForestClassifier',) ... ok
sklearn.ensemble.tests.test_forest.test_warm_start_equal_n_estimators('ExtraTreesRegressor',) ... ok
sklearn.ensemble.tests.test_forest.test_warm_start_equal_n_estimators('RandomForestRegressor',) ... ok
sklearn.ensemble.tests.test_forest.test_warm_start_equal_n_estimators('RandomTreesEmbedding',) ... ok
sklearn.ensemble.tests.test_forest.test_warm_start_oob('ExtraTreesClassifier',) ... ok
sklearn.ensemble.tests.test_forest.test_warm_start_oob('RandomForestClassifier',) ... ok
sklearn.ensemble.tests.test_forest.test_warm_start_oob('ExtraTreesRegressor',) ... ok
sklearn.ensemble.tests.test_forest.test_warm_start_oob('RandomForestRegressor',) ... ok
sklearn.ensemble.tests.test_forest.test_dtype_convert ... ok
sklearn.ensemble.tests.test_forest.test_decision_path('ExtraTreesClassifier',) ... ok
sklearn.ensemble.tests.test_forest.test_decision_path('RandomForestClassifier',) ... ok
sklearn.ensemble.tests.test_forest.test_decision_path('ExtraTreesRegressor',) ... ok
sklearn.ensemble.tests.test_forest.test_decision_path('RandomForestRegressor',) ... ok
sklearn.ensemble.tests.test_forest.test_min_impurity_split ... ok
sklearn.ensemble.tests.test_forest.test_min_impurity_decrease ... ok
sklearn.ensemble.tests.test_gradient_boosting.test_classification_toy('auto', 'deviance') ... ok
sklearn.ensemble.tests.test_gradient_boosting.test_classification_toy('auto', 'exponential') ... ok
sklearn.ensemble.tests.test_gradient_boosting.test_classification_toy(True, 'deviance') ... ok
sklearn.ensemble.tests.test_gradient_boosting.test_classification_toy(True, 'exponential') ... ok
sklearn.ensemble.tests.test_gradient_boosting.test_classification_toy(False, 'deviance') ... ok
sklearn.ensemble.tests.test_gradient_boosting.test_classification_toy(False, 'exponential') ... ok
sklearn.ensemble.tests.test_gradient_boosting.test_parameter_checks ... ok
sklearn.ensemble.tests.test_gradient_boosting.test_loss_function ... ok
sklearn.ensemble.tests.test_gradient_boosting.test_classification_synthetic('auto', 'deviance') ... ok
sklearn.ensemble.tests.test_gradient_boosting.test_classification_synthetic('auto', 'exponential') ... ok
sklearn.ensemble.tests.test_gradient_boosting.test_classification_synthetic(True, 'deviance') ... ok
sklearn.ensemble.tests.test_gradient_boosting.test_classification_synthetic(True, 'exponential') ... ok
sklearn.ensemble.tests.test_gradient_boosting.test_classification_synthetic(False, 'deviance') ... ok
sklearn.ensemble.tests.test_gradient_boosting.test_classification_synthetic(False, 'exponential') ... ok
sklearn.ensemble.tests.test_gradient_boosting.test_boston('auto', 'ls', 1.0) ... ok
sklearn.ensemble.tests.test_gradient_boosting.test_boston('auto', 'ls', 0.5) ... ok
sklearn.ensemble.tests.test_gradient_boosting.test_boston('auto', 'lad', 1.0) ... ok
sklearn.ensemble.tests.test_gradient_boosting.test_boston('auto', 'lad', 0.5) ... ok
sklearn.ensemble.tests.test_gradient_boosting.test_boston('auto', 'huber', 1.0) ... ok
sklearn.ensemble.tests.test_gradient_boosting.test_boston('auto', 'huber', 0.5) ... ok
sklearn.ensemble.tests.test_gradient_boosting.test_boston(True, 'ls', 1.0) ... ok
sklearn.ensemble.tests.test_gradient_boosting.test_boston(True, 'ls', 0.5) ... ok
sklearn.ensemble.tests.test_gradient_boosting.test_boston(True, 'lad', 1.0) ... ok
sklearn.ensemble.tests.test_gradient_boosting.test_boston(True, 'lad', 0.5) ... ok
sklearn.ensemble.tests.test_gradient_boosting.test_boston(True, 'huber', 1.0) ... ok
sklearn.ensemble.tests.test_gradient_boosting.test_boston(True, 'huber', 0.5) ... ok
sklearn.ensemble.tests.test_gradient_boosting.test_boston(False, 'ls', 1.0) ... ok
sklearn.ensemble.tests.test_gradient_boosting.test_boston(False, 'ls', 0.5) ... ok
sklearn.ensemble.tests.test_gradient_boosting.test_boston(False, 'lad', 1.0) ... ok
sklearn.ensemble.tests.test_gradient_boosting.test_boston(False, 'lad', 0.5) ... ok
sklearn.ensemble.tests.test_gradient_boosting.test_boston(False, 'huber', 1.0) ... ok
sklearn.ensemble.tests.test_gradient_boosting.test_boston(False, 'huber', 0.5) ... ok
sklearn.ensemble.tests.test_gradient_boosting.test_iris('auto', 1.0, None) ... ok
sklearn.ensemble.tests.test_gradient_boosting.test_iris('auto', 1.0, array([1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., ... ok
sklearn.ensemble.tests.test_gradient_boosting.test_iris('auto', 0.5, None) ... ok
sklearn.ensemble.tests.test_gradient_boosting.test_iris('auto', 0.5, array([1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., ... ok
sklearn.ensemble.tests.test_gradient_boosting.test_iris(True, 1.0, None) ... ok
sklearn.ensemble.tests.test_gradient_boosting.test_iris(True, 1.0, array([1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., ... ok
sklearn.ensemble.tests.test_gradient_boosting.test_iris(True, 0.5, None) ... ok
sklearn.ensemble.tests.test_gradient_boosting.test_iris(True, 0.5, array([1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., ... ok
sklearn.ensemble.tests.test_gradient_boosting.test_iris(False, 1.0, None) ... ok
sklearn.ensemble.tests.test_gradient_boosting.test_iris(False, 1.0, array([1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., ... ok
sklearn.ensemble.tests.test_gradient_boosting.test_iris(False, 0.5, None) ... ok
sklearn.ensemble.tests.test_gradient_boosting.test_iris(False, 0.5, array([1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., ... ok
sklearn.ensemble.tests.test_gradient_boosting.test_regression_synthetic ... ok
sklearn.ensemble.tests.test_gradient_boosting.test_feature_importances ... ok
sklearn.ensemble.tests.test_gradient_boosting.test_probability_log ... ok
sklearn.ensemble.tests.test_gradient_boosting.test_check_inputs ... ok
sklearn.ensemble.tests.test_gradient_boosting.test_check_inputs_predict ... ok
sklearn.ensemble.tests.test_gradient_boosting.test_check_max_features ... ok
sklearn.ensemble.tests.test_gradient_boosting.test_max_feature_regression ... ok
sklearn.ensemble.tests.test_gradient_boosting.test_max_feature_auto ... ok
sklearn.ensemble.tests.test_gradient_boosting.test_staged_predict ... ok
sklearn.ensemble.tests.test_gradient_boosting.test_staged_predict_proba ... ok
sklearn.ensemble.tests.test_gradient_boosting.test_staged_functions_defensive ... ok
sklearn.ensemble.tests.test_gradient_boosting.test_serialization ... ok
sklearn.ensemble.tests.test_gradient_boosting.test_degenerate_targets ... ok
sklearn.ensemble.tests.test_gradient_boosting.test_quantile_loss ... ok
sklearn.ensemble.tests.test_gradient_boosting.test_symbol_labels ... ok
sklearn.ensemble.tests.test_gradient_boosting.test_float_class_labels ... ok
sklearn.ensemble.tests.test_gradient_boosting.test_shape_y ... ok
sklearn.ensemble.tests.test_gradient_boosting.test_mem_layout ... ok
sklearn.ensemble.tests.test_gradient_boosting.test_oob_improvement ... ok
sklearn.ensemble.tests.test_gradient_boosting.test_oob_improvement_raise ... ok
sklearn.ensemble.tests.test_gradient_boosting.test_oob_multilcass_iris ... ok
sklearn.ensemble.tests.test_gradient_boosting.test_verbose_output ... ok
sklearn.ensemble.tests.test_gradient_boosting.test_sparse_input ... SKIP: Test skipped on 32bit platforms.
sklearn.ensemble.tests.test_gradient_boosting.test_more_verbose_output ... ok
sklearn.ensemble.tests.test_gradient_boosting.test_warm_start ... ok
sklearn.ensemble.tests.test_gradient_boosting.test_warm_start_n_estimators ... ok
sklearn.ensemble.tests.test_gradient_boosting.test_warm_start_max_depth ... ok
sklearn.ensemble.tests.test_gradient_boosting.test_warm_start_clear ... ok
sklearn.ensemble.tests.test_gradient_boosting.test_warm_start_zero_n_estimators ... ok
sklearn.ensemble.tests.test_gradient_boosting.test_warm_start_smaller_n_estimators ... ok
sklearn.ensemble.tests.test_gradient_boosting.test_warm_start_equal_n_estimators ... ok
sklearn.ensemble.tests.test_gradient_boosting.test_warm_start_oob_switch ... ok
sklearn.ensemble.tests.test_gradient_boosting.test_warm_start_oob ... ok
sklearn.ensemble.tests.test_gradient_boosting.test_monitor_early_stopping ... ok
sklearn.ensemble.tests.test_gradient_boosting.test_complete_classification ... ok
sklearn.ensemble.tests.test_gradient_boosting.test_complete_regression ... ok
sklearn.ensemble.tests.test_gradient_boosting.test_zero_estimator_reg ... ok
sklearn.ensemble.tests.test_gradient_boosting.test_zero_estimator_clf ... ok
sklearn.ensemble.tests.test_gradient_boosting.test_max_leaf_nodes_max_depth ... ok
sklearn.ensemble.tests.test_gradient_boosting.test_min_impurity_split ... ok
sklearn.ensemble.tests.test_gradient_boosting.test_min_impurity_decrease ... ok
sklearn.ensemble.tests.test_gradient_boosting.test_warm_start_wo_nestimators_change ... ok
sklearn.ensemble.tests.test_gradient_boosting.test_probability_exponential ... ok
sklearn.ensemble.tests.test_gradient_boosting.test_non_uniform_weights_toy_edge_case_reg ... ok
sklearn.ensemble.tests.test_gradient_boosting.test_non_uniform_weights_toy_edge_case_clf ... ok
sklearn.ensemble.tests.test_gradient_boosting_loss_functions.test_binomial_deviance ... ok
sklearn.ensemble.tests.test_gradient_boosting_loss_functions.test_log_odds_estimator ... ok
sklearn.ensemble.tests.test_gradient_boosting_loss_functions.test_sample_weight_smoke ... ok
sklearn.ensemble.tests.test_gradient_boosting_loss_functions.test_sample_weight_init_estimators ... ok
sklearn.ensemble.tests.test_gradient_boosting_loss_functions.test_weighted_percentile ... ok
sklearn.ensemble.tests.test_gradient_boosting_loss_functions.test_weighted_percentile_equal ... ok
sklearn.ensemble.tests.test_gradient_boosting_loss_functions.test_weighted_percentile_zero_weight ... ok
sklearn.ensemble.tests.test_gradient_boosting_loss_functions.test_quantile_loss_function ... ok
sklearn.ensemble.tests.test_gradient_boosting_loss_functions.test_sample_weight_deviance ... ok
Check Isolation Forest for various parameter settings. ... ok
Check IForest for various parameter settings on sparse input. ... ok
Test that it gives proper exception on deficient input. ... ok
Check max_depth recalculation when max_samples is reset to n_samples ... ok
sklearn.ensemble.tests.test_iforest.test_max_samples_attribute ... ok
Check parallel regression. ... ok
Test Isolation Forest performs well ... ok
sklearn.ensemble.tests.test_iforest.test_iforest_works ... ok
sklearn.ensemble.tests.test_iforest.test_max_samples_consistency ... ok
sklearn.ensemble.tests.test_iforest.test_iforest_subsampled_features ... ok
sklearn.ensemble.tests.test_iforest.test_iforest_average_path_length ... ok
sklearn.ensemble.tests.test_partial_dependence.test_partial_dependence_classifier ... ok
sklearn.ensemble.tests.test_partial_dependence.test_partial_dependence_multiclass ... ok
sklearn.ensemble.tests.test_partial_dependence.test_partial_dependence_regressor ... ok
sklearn.ensemble.tests.test_partial_dependence.test_partial_dependecy_input ... ok
sklearn.ensemble.tests.test_partial_dependence.test_plot_partial_dependence ... ok
sklearn.ensemble.tests.test_partial_dependence.test_plot_partial_dependence_input ... ok
sklearn.ensemble.tests.test_partial_dependence.test_plot_partial_dependence_multiclass ... ok
sklearn.ensemble.tests.test_voting_classifier.test_estimator_init ... ok
sklearn.ensemble.tests.test_voting_classifier.test_predictproba_hardvoting ... ok
sklearn.ensemble.tests.test_voting_classifier.test_notfitted ... ok
Check classification by majority label on dataset iris. ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/preprocessing/label.py:151: DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty.
if diff:
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/preprocessing/label.py:151: DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty.
if diff:
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/preprocessing/label.py:151: DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty.
if diff:
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/preprocessing/label.py:151: DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty.
if diff:
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/preprocessing/label.py:151: DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty.
if diff:
ok
Check voting classifier selects smaller class label in tie situation. ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/preprocessing/label.py:151: DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty.
if diff:
ok
Check classification by average probabilities on dataset iris. ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/preprocessing/label.py:151: DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty.
if diff:
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/preprocessing/label.py:151: DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty.
if diff:
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/preprocessing/label.py:151: DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty.
if diff:
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/preprocessing/label.py:151: DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty.
if diff:
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/preprocessing/label.py:151: DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty.
if diff:
ok
Manually check predicted class labels for toy dataset. ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/preprocessing/label.py:151: DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty.
if diff:
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/preprocessing/label.py:151: DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty.
if diff:
ok
Calculate predicted probabilities on toy dataset. ... /usr/lib/python3/dist-packages/scipy/special/_logsumexp.py:112: RuntimeWarning: underflow encountered in exp
tmp = np.exp(a - a_max)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/naive_bayes.py:104: RuntimeWarning: underflow encountered in exp
return np.exp(self.predict_log_proba(X))
ok
Check if error is raised for multilabel classification. ... ok
Check GridSearch support. ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/preprocessing/label.py:151: DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty.
if diff:
/usr/lib/python3/dist-packages/scipy/special/_logsumexp.py:112: RuntimeWarning: underflow encountered in exp
tmp = np.exp(a - a_max)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/naive_bayes.py:104: RuntimeWarning: underflow encountered in exp
return np.exp(self.predict_log_proba(X))
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/preprocessing/label.py:151: DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty.
if diff:
/usr/lib/python3/dist-packages/scipy/special/_logsumexp.py:112: RuntimeWarning: underflow encountered in exp
tmp = np.exp(a - a_max)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/naive_bayes.py:104: RuntimeWarning: underflow encountered in exp
return np.exp(self.predict_log_proba(X))
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/preprocessing/label.py:151: DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty.
if diff:
/usr/lib/python3/dist-packages/numpy/lib/function_base.py:1160: RuntimeWarning: underflow encountered in multiply
avg = np.multiply(a, wgt, dtype=result_dtype).sum(axis)/scl
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/preprocessing/label.py:151: DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty.
if diff:
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/preprocessing/label.py:151: DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty.
if diff:
/usr/lib/python3/dist-packages/scipy/special/_logsumexp.py:112: RuntimeWarning: underflow encountered in exp
tmp = np.exp(a - a_max)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/naive_bayes.py:104: RuntimeWarning: underflow encountered in exp
return np.exp(self.predict_log_proba(X))
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/preprocessing/label.py:151: DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty.
if diff:
/usr/lib/python3/dist-packages/scipy/special/_logsumexp.py:112: RuntimeWarning: underflow encountered in exp
tmp = np.exp(a - a_max)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/naive_bayes.py:104: RuntimeWarning: underflow encountered in exp
return np.exp(self.predict_log_proba(X))
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/preprocessing/label.py:151: DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty.
if diff:
/usr/lib/python3/dist-packages/scipy/special/_logsumexp.py:112: RuntimeWarning: underflow encountered in exp
tmp = np.exp(a - a_max)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/naive_bayes.py:104: RuntimeWarning: underflow encountered in exp
return np.exp(self.predict_log_proba(X))
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/preprocessing/label.py:151: DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty.
if diff:
/usr/lib/python3/dist-packages/numpy/lib/function_base.py:1160: RuntimeWarning: underflow encountered in multiply
avg = np.multiply(a, wgt, dtype=result_dtype).sum(axis)/scl
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/preprocessing/label.py:151: DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty.
if diff:
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/preprocessing/label.py:151: DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty.
if diff:
/usr/lib/python3/dist-packages/scipy/special/_logsumexp.py:112: RuntimeWarning: underflow encountered in exp
tmp = np.exp(a - a_max)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/naive_bayes.py:104: RuntimeWarning: underflow encountered in exp
return np.exp(self.predict_log_proba(X))
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/preprocessing/label.py:151: DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty.
if diff:
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/preprocessing/label.py:151: DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty.
if diff:
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/preprocessing/label.py:151: DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty.
if diff:
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/preprocessing/label.py:151: DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty.
if diff:
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/preprocessing/label.py:151: DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty.
if diff:
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/preprocessing/label.py:151: DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty.
if diff:
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/preprocessing/label.py:151: DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty.
if diff:
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/preprocessing/label.py:151: DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty.
if diff:
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/preprocessing/label.py:151: DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty.
if diff:
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/preprocessing/label.py:151: DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty.
if diff:
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/preprocessing/label.py:151: DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty.
if diff:
/usr/lib/python3/dist-packages/scipy/special/_logsumexp.py:112: RuntimeWarning: underflow encountered in exp
tmp = np.exp(a - a_max)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/naive_bayes.py:104: RuntimeWarning: underflow encountered in exp
return np.exp(self.predict_log_proba(X))
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/preprocessing/label.py:151: DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty.
if diff:
/usr/lib/python3/dist-packages/scipy/special/_logsumexp.py:112: RuntimeWarning: underflow encountered in exp
tmp = np.exp(a - a_max)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/naive_bayes.py:104: RuntimeWarning: underflow encountered in exp
return np.exp(self.predict_log_proba(X))
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/preprocessing/label.py:151: DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty.
if diff:
/usr/lib/python3/dist-packages/numpy/lib/function_base.py:1160: RuntimeWarning: underflow encountered in multiply
avg = np.multiply(a, wgt, dtype=result_dtype).sum(axis)/scl
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/preprocessing/label.py:151: DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty.
if diff:
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/preprocessing/label.py:151: DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty.
if diff:
/usr/lib/python3/dist-packages/scipy/special/_logsumexp.py:112: RuntimeWarning: underflow encountered in exp
tmp = np.exp(a - a_max)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/naive_bayes.py:104: RuntimeWarning: underflow encountered in exp
return np.exp(self.predict_log_proba(X))
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/preprocessing/label.py:151: DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty.
if diff:
/usr/lib/python3/dist-packages/scipy/special/_logsumexp.py:112: RuntimeWarning: underflow encountered in exp
tmp = np.exp(a - a_max)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/naive_bayes.py:104: RuntimeWarning: underflow encountered in exp
return np.exp(self.predict_log_proba(X))
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/preprocessing/label.py:151: DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty.
if diff:
/usr/lib/python3/dist-packages/scipy/special/_logsumexp.py:112: RuntimeWarning: underflow encountered in exp
tmp = np.exp(a - a_max)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/naive_bayes.py:104: RuntimeWarning: underflow encountered in exp
return np.exp(self.predict_log_proba(X))
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/preprocessing/label.py:151: DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty.
if diff:
/usr/lib/python3/dist-packages/numpy/lib/function_base.py:1160: RuntimeWarning: underflow encountered in multiply
avg = np.multiply(a, wgt, dtype=result_dtype).sum(axis)/scl
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/preprocessing/label.py:151: DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty.
if diff:
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/preprocessing/label.py:151: DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty.
if diff:
/usr/lib/python3/dist-packages/scipy/special/_logsumexp.py:112: RuntimeWarning: underflow encountered in exp
tmp = np.exp(a - a_max)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/naive_bayes.py:104: RuntimeWarning: underflow encountered in exp
return np.exp(self.predict_log_proba(X))
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/preprocessing/label.py:151: DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty.
if diff:
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/preprocessing/label.py:151: DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty.
if diff:
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/preprocessing/label.py:151: DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty.
if diff:
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/preprocessing/label.py:151: DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty.
if diff:
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/preprocessing/label.py:151: DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty.
if diff:
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/preprocessing/label.py:151: DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty.
if diff:
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/preprocessing/label.py:151: DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty.
if diff:
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/preprocessing/label.py:151: DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty.
if diff:
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/preprocessing/label.py:151: DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty.
if diff:
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/preprocessing/label.py:151: DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty.
if diff:
ok
Check parallel backend of VotingClassifier on toy dataset. ... /usr/lib/python3/dist-packages/scipy/special/_logsumexp.py:112: RuntimeWarning: underflow encountered in exp
tmp = np.exp(a - a_max)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/naive_bayes.py:104: RuntimeWarning: underflow encountered in exp
return np.exp(self.predict_log_proba(X))
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/preprocessing/label.py:151: DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty.
if diff:
ok
Tests sample_weight parameter of VotingClassifier ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/preprocessing/label.py:151: DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty.
if diff:
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/preprocessing/label.py:151: DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty.
if diff:
ok
Check that VotingClassifier passes sample_weight as kwargs ... ok
set_params should be able to set estimators ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/preprocessing/label.py:151: DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty.
if diff:
ok
VotingClassifier set_params should be able to set estimators as None ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/preprocessing/label.py:151: DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty.
if diff:
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/preprocessing/label.py:151: DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty.
if diff:
/usr/lib/python3/dist-packages/scipy/special/_logsumexp.py:112: RuntimeWarning: underflow encountered in exp
tmp = np.exp(a - a_max)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/naive_bayes.py:104: RuntimeWarning: underflow encountered in exp
return np.exp(self.predict_log_proba(X))
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/ensemble/voting_classifier.py:290: DeprecationWarning: 'flatten_transform' default value will be changed to True in 0.21.To silence this warning you may explicitly set flatten_transform=False.
DeprecationWarning)
ok
sklearn.ensemble.tests.test_voting_classifier.test_estimator_weights_format ... ok
Check transform method of VotingClassifier on toy dataset. ... /usr/lib/python3/dist-packages/scipy/special/_logsumexp.py:112: RuntimeWarning: underflow encountered in exp
tmp = np.exp(a - a_max)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/naive_bayes.py:104: RuntimeWarning: underflow encountered in exp
return np.exp(self.predict_log_proba(X))
ok
sklearn.ensemble.tests.test_weight_boosting.test_samme_proba ... ok
sklearn.ensemble.tests.test_weight_boosting.test_oneclass_adaboost_proba ... ok
sklearn.ensemble.tests.test_weight_boosting.test_classification_toy ... ok
sklearn.ensemble.tests.test_weight_boosting.test_regression_toy ... ok
sklearn.ensemble.tests.test_weight_boosting.test_iris ... ok
sklearn.ensemble.tests.test_weight_boosting.test_boston ... ok
sklearn.ensemble.tests.test_weight_boosting.test_staged_predict ... ok
sklearn.ensemble.tests.test_weight_boosting.test_gridsearch ... ok
sklearn.ensemble.tests.test_weight_boosting.test_pickle ... ok
sklearn.ensemble.tests.test_weight_boosting.test_importances ... ok
sklearn.ensemble.tests.test_weight_boosting.test_error ... ok
sklearn.ensemble.tests.test_weight_boosting.test_base_estimator ... ok
sklearn.ensemble.tests.test_weight_boosting.test_sample_weight_missing ... ok
sklearn.ensemble.tests.test_weight_boosting.test_sparse_classification ... ok
sklearn.ensemble.tests.test_weight_boosting.test_sparse_regression ... ok
AdaBoostRegressor should work without sample_weights in the base estimator ... ok
sklearn.feature_extraction.tests.test_dict_vectorizer.test_dictvectorizer ... ok
sklearn.feature_extraction.tests.test_dict_vectorizer.test_feature_selection ... ok
sklearn.feature_extraction.tests.test_dict_vectorizer.test_one_of_k ... ok
sklearn.feature_extraction.tests.test_dict_vectorizer.test_unseen_or_no_features ... ok
sklearn.feature_extraction.tests.test_dict_vectorizer.test_deterministic_vocabulary ... ok
sklearn.feature_extraction.tests.test_feature_hasher.test_feature_hasher_dicts ... ok
sklearn.feature_extraction.tests.test_feature_hasher.test_feature_hasher_pairs ... ok
sklearn.feature_extraction.tests.test_feature_hasher.test_feature_hasher_pairs_with_string_values ... ok
sklearn.feature_extraction.tests.test_feature_hasher.test_hash_empty_input ... ok
sklearn.feature_extraction.tests.test_feature_hasher.test_hasher_invalid_input ... ok
sklearn.feature_extraction.tests.test_feature_hasher.test_hasher_set_params ... ok
sklearn.feature_extraction.tests.test_feature_hasher.test_hasher_zeros ... ok
sklearn.feature_extraction.tests.test_feature_hasher.test_feature_hasher_strings ... ok
sklearn.feature_extraction.tests.test_feature_hasher.test_hash_collisions ... ok
sklearn.feature_extraction.tests.test_feature_hasher.test_hasher_alternate_sign ... ok
sklearn.feature_extraction.tests.test_feature_hasher.test_hasher_negative ... ok
sklearn.feature_extraction.tests.test_image.test_img_to_graph ... ok
sklearn.feature_extraction.tests.test_image.test_grid_to_graph ... ok
sklearn.feature_extraction.tests.test_image.test_connect_regions ... ok
sklearn.feature_extraction.tests.test_image.test_connect_regions_with_grid ... ok
sklearn.feature_extraction.tests.test_image.test_extract_patches_all ... ok
sklearn.feature_extraction.tests.test_image.test_extract_patches_all_color ... ok
sklearn.feature_extraction.tests.test_image.test_extract_patches_all_rect ... ok
sklearn.feature_extraction.tests.test_image.test_extract_patches_max_patches ... ok
sklearn.feature_extraction.tests.test_image.test_reconstruct_patches_perfect ... ok
sklearn.feature_extraction.tests.test_image.test_reconstruct_patches_perfect_color ... ok
sklearn.feature_extraction.tests.test_image.test_patch_extractor_fit ... ok
sklearn.feature_extraction.tests.test_image.test_patch_extractor_max_patches ... ok
sklearn.feature_extraction.tests.test_image.test_patch_extractor_max_patches_default ... ok
sklearn.feature_extraction.tests.test_image.test_patch_extractor_all_patches ... ok
sklearn.feature_extraction.tests.test_image.test_patch_extractor_color ... ok
sklearn.feature_extraction.tests.test_image.test_extract_patches_strided ... ok
sklearn.feature_extraction.tests.test_image.test_extract_patches_square ... ok
sklearn.feature_extraction.tests.test_image.test_width_patch ... ok
sklearn.feature_extraction.tests.test_text.test_strip_accents ... ok
sklearn.feature_extraction.tests.test_text.test_to_ascii ... ok
sklearn.feature_extraction.tests.test_text.test_word_analyzer_unigrams ... ok
sklearn.feature_extraction.tests.test_text.test_word_analyzer_unigrams_and_bigrams ... ok
sklearn.feature_extraction.tests.test_text.test_unicode_decode_error ... ok
sklearn.feature_extraction.tests.test_text.test_char_ngram_analyzer ... ok
sklearn.feature_extraction.tests.test_text.test_char_wb_ngram_analyzer ... ok
sklearn.feature_extraction.tests.test_text.test_word_ngram_analyzer ... ok
sklearn.feature_extraction.tests.test_text.test_countvectorizer_custom_vocabulary ... ok
sklearn.feature_extraction.tests.test_text.test_countvectorizer_custom_vocabulary_pipeline ... ok
sklearn.feature_extraction.tests.test_text.test_countvectorizer_custom_vocabulary_repeated_indeces ... ok
sklearn.feature_extraction.tests.test_text.test_countvectorizer_custom_vocabulary_gap_index ... ok
sklearn.feature_extraction.tests.test_text.test_hashed_binary_occurrences ... ok
sklearn.feature_extraction.tests.test_text.test_hashing_vectorizer ... ok
sklearn.feature_extraction.tests.test_text.test_vectorizer_unicode ... ok
sklearn.feature_extraction.tests.test_text.test_countvectorizer_stop_words ... ok
sklearn.feature_extraction.tests.test_text.test_countvectorizer_empty_vocabulary ... ok
sklearn.feature_extraction.tests.test_text.test_fit_countvectorizer_twice ... ok
sklearn.feature_extraction.tests.test_text.test_tf_idf_smoothing ... ok
sklearn.feature_extraction.tests.test_text.test_tfidf_no_smoothing ... SKIP: no warning gets issued on armel
sklearn.feature_extraction.tests.test_text.test_sublinear_tf ... ok
sklearn.feature_extraction.tests.test_text.test_vectorizer ... ok
sklearn.feature_extraction.tests.test_text.test_tfidf_vectorizer_setters ... ok
sklearn.feature_extraction.tests.test_text.test_feature_names ... ok
sklearn.feature_extraction.tests.test_text.test_vectorizer_max_features ... ok
sklearn.feature_extraction.tests.test_text.test_count_vectorizer_max_features ... ok
sklearn.feature_extraction.tests.test_text.test_vectorizer_max_df ... ok
sklearn.feature_extraction.tests.test_text.test_vectorizer_min_df ... ok
sklearn.feature_extraction.tests.test_text.test_count_binary_occurrences ... ok
sklearn.feature_extraction.tests.test_text.test_vectorizer_inverse_transform ... ok
sklearn.feature_extraction.tests.test_text.test_count_vectorizer_pipeline_grid_selection ... ok
sklearn.feature_extraction.tests.test_text.test_vectorizer_pipeline_grid_selection ... ok
sklearn.feature_extraction.tests.test_text.test_vectorizer_pipeline_cross_validation ... ok
sklearn.feature_extraction.tests.test_text.test_tfidf_vectorizer_with_fixed_vocabulary ... ok
sklearn.feature_extraction.tests.test_text.test_pickling_vectorizer ... ok
sklearn.feature_extraction.tests.test_text.test_countvectorizer_vocab_sets_when_pickling ... ok
sklearn.feature_extraction.tests.test_text.test_countvectorizer_vocab_dicts_when_pickling ... ok
sklearn.feature_extraction.tests.test_text.test_stop_words_removal ... ok
sklearn.feature_extraction.tests.test_text.test_pickling_transformer ... ok
sklearn.feature_extraction.tests.test_text.test_non_unique_vocab ... ok
sklearn.feature_extraction.tests.test_text.test_hashingvectorizer_nan_in_docs ... ok
sklearn.feature_extraction.tests.test_text.test_tfidfvectorizer_binary ... ok
sklearn.feature_extraction.tests.test_text.test_tfidfvectorizer_export_idf ... ok
sklearn.feature_extraction.tests.test_text.test_vectorizer_vocab_clone ... ok
sklearn.feature_extraction.tests.test_text.test_vectorizer_string_object_as_input ... ok
sklearn.feature_selection.tests.test_base.test_transform_dense ... ok
sklearn.feature_selection.tests.test_base.test_transform_sparse ... ok
sklearn.feature_selection.tests.test_base.test_inverse_transform_dense ... ok
sklearn.feature_selection.tests.test_base.test_inverse_transform_sparse ... ok
sklearn.feature_selection.tests.test_base.test_get_support ... ok
sklearn.feature_selection.tests.test_chi2.test_chi2 ... ok
sklearn.feature_selection.tests.test_chi2.test_chi2_coo ... ok
sklearn.feature_selection.tests.test_chi2.test_chi2_negative ... ok
sklearn.feature_selection.tests.test_chi2.test_chi2_unused_feature ... ok
sklearn.feature_selection.tests.test_chi2.test_chisquare ... ok
sklearn.feature_selection.tests.test_feature_select.test_f_oneway_vs_scipy_stats ... ok
sklearn.feature_selection.tests.test_feature_select.test_f_oneway_ints ... ok
sklearn.feature_selection.tests.test_feature_select.test_f_classif ... ok
sklearn.feature_selection.tests.test_feature_select.test_f_regression ... ok
sklearn.feature_selection.tests.test_feature_select.test_f_regression_input_dtype ... ok
sklearn.feature_selection.tests.test_feature_select.test_f_regression_center ... ok
sklearn.feature_selection.tests.test_feature_select.test_f_classif_multi_class ... ok
sklearn.feature_selection.tests.test_feature_select.test_select_percentile_classif ... ok
sklearn.feature_selection.tests.test_feature_select.test_select_percentile_classif_sparse ... ok
sklearn.feature_selection.tests.test_feature_select.test_select_kbest_classif ... ok
sklearn.feature_selection.tests.test_feature_select.test_select_kbest_all ... ok
sklearn.feature_selection.tests.test_feature_select.test_select_kbest_zero ... ok
sklearn.feature_selection.tests.test_feature_select.test_select_heuristics_classif ... ok
sklearn.feature_selection.tests.test_feature_select.test_select_percentile_regression ... ok
sklearn.feature_selection.tests.test_feature_select.test_select_percentile_regression_full ... ok
sklearn.feature_selection.tests.test_feature_select.test_invalid_percentile ... ok
sklearn.feature_selection.tests.test_feature_select.test_select_kbest_regression ... ok
sklearn.feature_selection.tests.test_feature_select.test_select_heuristics_regression ... ok
sklearn.feature_selection.tests.test_feature_select.test_boundary_case_ch2 ... ok
sklearn.feature_selection.tests.test_feature_select.test_select_fdr_regression ... ok
sklearn.feature_selection.tests.test_feature_select.test_select_fwe_regression ... ok
sklearn.feature_selection.tests.test_feature_select.test_selectkbest_tiebreaking ... ok
sklearn.feature_selection.tests.test_feature_select.test_selectpercentile_tiebreaking ... ok
sklearn.feature_selection.tests.test_feature_select.test_tied_pvalues ... ok
sklearn.feature_selection.tests.test_feature_select.test_scorefunc_multilabel ... ok
sklearn.feature_selection.tests.test_feature_select.test_tied_scores ... ok
sklearn.feature_selection.tests.test_feature_select.test_nans ... ok
sklearn.feature_selection.tests.test_feature_select.test_score_func_error ... ok
sklearn.feature_selection.tests.test_feature_select.test_invalid_k ... ok
sklearn.feature_selection.tests.test_feature_select.test_f_classif_constant_feature ... ok
sklearn.feature_selection.tests.test_feature_select.test_no_feature_selected ... ok
sklearn.feature_selection.tests.test_feature_select.test_mutual_info_classif ... ok
sklearn.feature_selection.tests.test_feature_select.test_mutual_info_regression ... ok
sklearn.feature_selection.tests.test_from_model.test_invalid_input ... ok
sklearn.feature_selection.tests.test_from_model.test_input_estimator_unchanged ... ok
sklearn.feature_selection.tests.test_from_model.test_feature_importances ... ok
sklearn.feature_selection.tests.test_from_model.test_sample_weight ... ok
sklearn.feature_selection.tests.test_from_model.test_coef_default_threshold ... ok
sklearn.feature_selection.tests.test_from_model.test_partial_fit ... ok
sklearn.feature_selection.tests.test_from_model.test_calling_fit_reinitializes ... ok
sklearn.feature_selection.tests.test_from_model.test_prefit ... ok
sklearn.feature_selection.tests.test_from_model.test_threshold_string ... ok
sklearn.feature_selection.tests.test_from_model.test_threshold_without_refitting ... ok
sklearn.feature_selection.tests.test_from_model.test_2d_coef ... SKIP: Test skipped on 32bit platforms.
sklearn.feature_selection.tests.test_mutual_info.test_compute_mi_dd ... ok
sklearn.feature_selection.tests.test_mutual_info.test_compute_mi_cc ... ok
sklearn.feature_selection.tests.test_mutual_info.test_compute_mi_cd ... ok
sklearn.feature_selection.tests.test_mutual_info.test_compute_mi_cd_unique_label ... ok
sklearn.feature_selection.tests.test_mutual_info.test_mutual_info_classif_discrete ... ok
sklearn.feature_selection.tests.test_mutual_info.test_mutual_info_regression ... ok
sklearn.feature_selection.tests.test_mutual_info.test_mutual_info_classif_mixed ... ok
sklearn.feature_selection.tests.test_mutual_info.test_mutual_info_options ... ok
sklearn.feature_selection.tests.test_rfe.test_rfe_features_importance ... ok
sklearn.feature_selection.tests.test_rfe.test_rfe ... ok
sklearn.feature_selection.tests.test_rfe.test_rfe_mockclassifier ... ok
sklearn.feature_selection.tests.test_rfe.test_rfecv ... ok
sklearn.feature_selection.tests.test_rfe.test_rfecv_mockclassifier ... ok
sklearn.feature_selection.tests.test_rfe.test_rfecv_verbose_output ... ok
sklearn.feature_selection.tests.test_rfe.test_rfe_estimator_tags ... ok
sklearn.feature_selection.tests.test_rfe.test_rfe_min_step ... ok
sklearn.feature_selection.tests.test_rfe.test_number_of_subsets_of_features ... ok
sklearn.feature_selection.tests.test_rfe.test_rfe_cv_n_jobs ... ok
sklearn.feature_selection.tests.test_variance_threshold.test_zero_variance ... ok
sklearn.feature_selection.tests.test_variance_threshold.test_variance_threshold ... ok
sklearn.gaussian_process.tests.test_gaussian_process.test_1d ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/deprecation.py:58: DeprecationWarning: Class GaussianProcess is deprecated; GaussianProcess was deprecated in version 0.18 and will be removed in 0.20. Use the GaussianProcessRegressor instead.
warnings.warn(msg, category=DeprecationWarning)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/deprecation.py:77: DeprecationWarning: Function l1_cross_distances is deprecated; l1_cross_distances was deprecated in version 0.18 and will be removed in 0.20.
warnings.warn(msg, category=DeprecationWarning)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/deprecation.py:77: DeprecationWarning: Function constant is deprecated; The function constant of regression_models is deprecated in version 0.19.1 and will be removed in 0.22.
warnings.warn(msg, category=DeprecationWarning)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/deprecation.py:77: DeprecationWarning: Function squared_exponential is deprecated; The function squared_exponential of correlation_models is deprecated in version 0.19.1 and will be removed in 0.22.
warnings.warn(msg, category=DeprecationWarning)
ok
sklearn.gaussian_process.tests.test_gaussian_process.test_2d ... ok
sklearn.gaussian_process.tests.test_gaussian_process.test_2d_2d ... ok
sklearn.gaussian_process.tests.test_gaussian_process.test_wrong_number_of_outputs ... ok
sklearn.gaussian_process.tests.test_gaussian_process.test_more_builtin_correlation_models ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/deprecation.py:77: DeprecationWarning: Function absolute_exponential is deprecated; The function absolute_exponential of correlation_models is deprecated in version 0.19.1 and will be removed in 0.22.
warnings.warn(msg, category=DeprecationWarning)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/deprecation.py:77: DeprecationWarning: Function cubic is deprecated; The function cubic of correlation_models is deprecated in version 0.19.1 and will be removed in 0.22.
warnings.warn(msg, category=DeprecationWarning)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/deprecation.py:77: DeprecationWarning: Function linear is deprecated; The function linear of correlation_models is deprecated in version 0.19.1 and will be removed in 0.22.
warnings.warn(msg, category=DeprecationWarning)
ok
sklearn.gaussian_process.tests.test_gaussian_process.test_ordinary_kriging ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/deprecation.py:77: DeprecationWarning: Function linear is deprecated; The function linear of regression_models is deprecated in version 0.19.1 and will be removed in 0.22.
warnings.warn(msg, category=DeprecationWarning)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/deprecation.py:77: DeprecationWarning: Function quadratic is deprecated; The function quadratic of regression_models is deprecated in version 0.19.1 and will be removed in 0.22.
warnings.warn(msg, category=DeprecationWarning)
ok
sklearn.gaussian_process.tests.test_gaussian_process.test_no_normalize ... ok
sklearn.gaussian_process.tests.test_gaussian_process.test_batch_size ... ok
sklearn.gaussian_process.tests.test_gaussian_process.test_random_starts ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/gaussian_process/correlation_models.py:102: RuntimeWarning: underflow encountered in exp
return np.exp(-np.sum(theta.reshape(1, n_features) * d ** 2, axis=1))
ok
sklearn.gaussian_process.tests.test_gaussian_process.test_mse_solving ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/datasets/samples_generator.py:1046: RuntimeWarning: underflow encountered in exp
np.exp(-1.0 * (singular_ind / effective_rank) ** 2))
ok
sklearn.gaussian_process.tests.test_gpc.test_predict_consistent ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/gaussian_process/kernels.py:1206: RuntimeWarning: underflow encountered in exp
K = np.exp(-.5 * dists)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/gaussian_process/kernels.py:1224: RuntimeWarning: underflow encountered in multiply
(K * squareform(dists))[:, :, np.newaxis]
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/gaussian_process/gpc.py:396: RuntimeWarning: underflow encountered in multiply
W_sr_K = W_sr[:, np.newaxis] * K
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/gaussian_process/gpc.py:397: RuntimeWarning: underflow encountered in multiply
B = np.eye(W.shape[0]) + W_sr_K * W_sr
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/gaussian_process/gpc.py:354: RuntimeWarning: underflow encountered in multiply
C = solve(L, W_sr[:, np.newaxis] * K) # Line 8
ok
sklearn.gaussian_process.tests.test_gpc.test_lml_improving ... ok
sklearn.gaussian_process.tests.test_gpc.test_lml_precomputed ... ok
sklearn.gaussian_process.tests.test_gpc.test_converged_to_local_maximum ... ok
sklearn.gaussian_process.tests.test_gpc.test_lml_gradient ... ok
sklearn.gaussian_process.tests.test_gpc.test_random_starts ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/gaussian_process/kernels.py:1230: RuntimeWarning: underflow encountered in multiply
K_gradient *= K[..., np.newaxis]
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/gaussian_process/kernels.py:756: RuntimeWarning: underflow encountered in multiply
K2_gradient * K1[:, :, np.newaxis]))
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/gaussian_process/gpc.py:353: RuntimeWarning: underflow encountered in multiply
R = W_sr[:, np.newaxis] * cho_solve((L, True), np.diag(W_sr)) # Line 7
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/gaussian_process/kernels.py:755: RuntimeWarning: underflow encountered in multiply
return K1 * K2, np.dstack((K1_gradient * K2[:, :, np.newaxis],
ok
sklearn.gaussian_process.tests.test_gpc.test_custom_optimizer ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/gaussian_process/kernels.py:1206: RuntimeWarning: underflow encountered in exp
K = np.exp(-.5 * dists)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/gaussian_process/gpc.py:396: RuntimeWarning: underflow encountered in multiply
W_sr_K = W_sr[:, np.newaxis] * K
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/gaussian_process/gpc.py:397: RuntimeWarning: underflow encountered in multiply
B = np.eye(W.shape[0]) + W_sr_K * W_sr
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/gaussian_process/kernels.py:1206: RuntimeWarning: underflow encountered in exp
K = np.exp(-.5 * dists)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/gaussian_process/gpc.py:396: RuntimeWarning: underflow encountered in multiply
W_sr_K = W_sr[:, np.newaxis] * K
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/gaussian_process/gpc.py:397: RuntimeWarning: underflow encountered in multiply
B = np.eye(W.shape[0]) + W_sr_K * W_sr
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/gaussian_process/kernels.py:1206: RuntimeWarning: underflow encountered in exp
K = np.exp(-.5 * dists)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/gaussian_process/gpc.py:396: RuntimeWarning: underflow encountered in multiply
W_sr_K = W_sr[:, np.newaxis] * K
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/gaussian_process/gpc.py:397: RuntimeWarning: underflow encountered in multiply
B = np.eye(W.shape[0]) + W_sr_K * W_sr
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/gaussian_process/kernels.py:1206: RuntimeWarning: underflow encountered in exp
K = np.exp(-.5 * dists)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/gaussian_process/gpc.py:397: RuntimeWarning: underflow encountered in multiply
B = np.eye(W.shape[0]) + W_sr_K * W_sr
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/gaussian_process/gpc.py:396: RuntimeWarning: underflow encountered in multiply
W_sr_K = W_sr[:, np.newaxis] * K
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/gaussian_process/kernels.py:1206: RuntimeWarning: underflow encountered in exp
K = np.exp(-.5 * dists)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/gaussian_process/gpc.py:397: RuntimeWarning: underflow encountered in multiply
B = np.eye(W.shape[0]) + W_sr_K * W_sr
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/gaussian_process/gpc.py:396: RuntimeWarning: underflow encountered in multiply
W_sr_K = W_sr[:, np.newaxis] * K
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/gaussian_process/kernels.py:1206: RuntimeWarning: underflow encountered in exp
K = np.exp(-.5 * dists)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/gaussian_process/gpc.py:397: RuntimeWarning: underflow encountered in multiply
B = np.eye(W.shape[0]) + W_sr_K * W_sr
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/gaussian_process/gpc.py:396: RuntimeWarning: underflow encountered in multiply
W_sr_K = W_sr[:, np.newaxis] * K
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/gaussian_process/kernels.py:1206: RuntimeWarning: underflow encountered in exp
K = np.exp(-.5 * dists)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/gaussian_process/kernels.py:758: RuntimeWarning: underflow encountered in multiply
return self.k1(X, Y) * self.k2(X, Y)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/gaussian_process/gpc.py:396: RuntimeWarning: underflow encountered in multiply
W_sr_K = W_sr[:, np.newaxis] * K
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/gaussian_process/gpc.py:397: RuntimeWarning: underflow encountered in multiply
B = np.eye(W.shape[0]) + W_sr_K * W_sr
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/gaussian_process/kernels.py:1206: RuntimeWarning: underflow encountered in exp
K = np.exp(-.5 * dists)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/gaussian_process/kernels.py:758: RuntimeWarning: underflow encountered in multiply
return self.k1(X, Y) * self.k2(X, Y)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/gaussian_process/gpc.py:396: RuntimeWarning: underflow encountered in multiply
W_sr_K = W_sr[:, np.newaxis] * K
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/gaussian_process/gpc.py:397: RuntimeWarning: underflow encountered in multiply
B = np.eye(W.shape[0]) + W_sr_K * W_sr
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/gaussian_process/kernels.py:1206: RuntimeWarning: underflow encountered in exp
K = np.exp(-.5 * dists)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/gaussian_process/kernels.py:758: RuntimeWarning: underflow encountered in multiply
return self.k1(X, Y) * self.k2(X, Y)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/gaussian_process/gpc.py:396: RuntimeWarning: underflow encountered in multiply
W_sr_K = W_sr[:, np.newaxis] * K
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/gaussian_process/gpc.py:397: RuntimeWarning: underflow encountered in multiply
B = np.eye(W.shape[0]) + W_sr_K * W_sr
ok
sklearn.gaussian_process.tests.test_gpc.test_multi_class ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/gaussian_process/kernels.py:1206: RuntimeWarning: underflow encountered in exp
K = np.exp(-.5 * dists)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/gaussian_process/kernels.py:1224: RuntimeWarning: underflow encountered in multiply
(K * squareform(dists))[:, :, np.newaxis]
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/gaussian_process/gpc.py:396: RuntimeWarning: underflow encountered in multiply
W_sr_K = W_sr[:, np.newaxis] * K
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/gaussian_process/gpc.py:397: RuntimeWarning: underflow encountered in multiply
B = np.eye(W.shape[0]) + W_sr_K * W_sr
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/gaussian_process/gpc.py:354: RuntimeWarning: underflow encountered in multiply
C = solve(L, W_sr[:, np.newaxis] * K) # Line 8
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/gaussian_process/kernels.py:1206: RuntimeWarning: underflow encountered in exp
K = np.exp(-.5 * dists)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/gaussian_process/kernels.py:1224: RuntimeWarning: underflow encountered in multiply
(K * squareform(dists))[:, :, np.newaxis]
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/gaussian_process/gpc.py:396: RuntimeWarning: underflow encountered in multiply
W_sr_K = W_sr[:, np.newaxis] * K
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/gaussian_process/gpc.py:397: RuntimeWarning: underflow encountered in multiply
B = np.eye(W.shape[0]) + W_sr_K * W_sr
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/gaussian_process/gpc.py:354: RuntimeWarning: underflow encountered in multiply
C = solve(L, W_sr[:, np.newaxis] * K) # Line 8
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/gaussian_process/kernels.py:1206: RuntimeWarning: underflow encountered in exp
K = np.exp(-.5 * dists)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/gaussian_process/kernels.py:1224: RuntimeWarning: underflow encountered in multiply
(K * squareform(dists))[:, :, np.newaxis]
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/gaussian_process/gpc.py:396: RuntimeWarning: underflow encountered in multiply
W_sr_K = W_sr[:, np.newaxis] * K
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/gaussian_process/gpc.py:397: RuntimeWarning: underflow encountered in multiply
B = np.eye(W.shape[0]) + W_sr_K * W_sr
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/gaussian_process/gpc.py:354: RuntimeWarning: underflow encountered in multiply
C = solve(L, W_sr[:, np.newaxis] * K) # Line 8
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/gaussian_process/kernels.py:1206: RuntimeWarning: underflow encountered in exp
K = np.exp(-.5 * dists)
ok
sklearn.gaussian_process.tests.test_gpc.test_multi_class_n_jobs ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/gaussian_process/kernels.py:1206: RuntimeWarning: underflow encountered in exp
K = np.exp(-.5 * dists)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/gaussian_process/kernels.py:1224: RuntimeWarning: underflow encountered in multiply
(K * squareform(dists))[:, :, np.newaxis]
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/gaussian_process/gpc.py:396: RuntimeWarning: underflow encountered in multiply
W_sr_K = W_sr[:, np.newaxis] * K
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/gaussian_process/gpc.py:397: RuntimeWarning: underflow encountered in multiply
B = np.eye(W.shape[0]) + W_sr_K * W_sr
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/gaussian_process/gpc.py:354: RuntimeWarning: underflow encountered in multiply
C = solve(L, W_sr[:, np.newaxis] * K) # Line 8
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/gaussian_process/kernels.py:1206: RuntimeWarning: underflow encountered in exp
K = np.exp(-.5 * dists)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/gaussian_process/kernels.py:1224: RuntimeWarning: underflow encountered in multiply
(K * squareform(dists))[:, :, np.newaxis]
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/gaussian_process/gpc.py:396: RuntimeWarning: underflow encountered in multiply
W_sr_K = W_sr[:, np.newaxis] * K
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/gaussian_process/gpc.py:397: RuntimeWarning: underflow encountered in multiply
B = np.eye(W.shape[0]) + W_sr_K * W_sr
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/gaussian_process/gpc.py:354: RuntimeWarning: underflow encountered in multiply
C = solve(L, W_sr[:, np.newaxis] * K) # Line 8
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/gaussian_process/kernels.py:1206: RuntimeWarning: underflow encountered in exp
K = np.exp(-.5 * dists)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/gaussian_process/kernels.py:1224: RuntimeWarning: underflow encountered in multiply
(K * squareform(dists))[:, :, np.newaxis]
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/gaussian_process/gpc.py:396: RuntimeWarning: underflow encountered in multiply
W_sr_K = W_sr[:, np.newaxis] * K
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/gaussian_process/gpc.py:397: RuntimeWarning: underflow encountered in multiply
B = np.eye(W.shape[0]) + W_sr_K * W_sr
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/gaussian_process/gpc.py:354: RuntimeWarning: underflow encountered in multiply
C = solve(L, W_sr[:, np.newaxis] * K) # Line 8
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/gaussian_process/kernels.py:1206: RuntimeWarning: underflow encountered in exp
K = np.exp(-.5 * dists)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/gaussian_process/kernels.py:1224: RuntimeWarning: underflow encountered in multiply
(K * squareform(dists))[:, :, np.newaxis]
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/gaussian_process/gpc.py:396: RuntimeWarning: underflow encountered in multiply
W_sr_K = W_sr[:, np.newaxis] * K
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/gaussian_process/gpc.py:397: RuntimeWarning: underflow encountered in multiply
B = np.eye(W.shape[0]) + W_sr_K * W_sr
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/gaussian_process/gpc.py:354: RuntimeWarning: underflow encountered in multiply
C = solve(L, W_sr[:, np.newaxis] * K) # Line 8
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/gaussian_process/kernels.py:1206: RuntimeWarning: underflow encountered in exp
K = np.exp(-.5 * dists)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/gaussian_process/kernels.py:1224: RuntimeWarning: underflow encountered in multiply
(K * squareform(dists))[:, :, np.newaxis]
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/gaussian_process/gpc.py:396: RuntimeWarning: underflow encountered in multiply
W_sr_K = W_sr[:, np.newaxis] * K
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/gaussian_process/gpc.py:397: RuntimeWarning: underflow encountered in multiply
B = np.eye(W.shape[0]) + W_sr_K * W_sr
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/gaussian_process/gpc.py:354: RuntimeWarning: underflow encountered in multiply
C = solve(L, W_sr[:, np.newaxis] * K) # Line 8
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/gaussian_process/kernels.py:1206: RuntimeWarning: underflow encountered in exp
K = np.exp(-.5 * dists)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/gaussian_process/kernels.py:1224: RuntimeWarning: underflow encountered in multiply
(K * squareform(dists))[:, :, np.newaxis]
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/gaussian_process/gpc.py:396: RuntimeWarning: underflow encountered in multiply
W_sr_K = W_sr[:, np.newaxis] * K
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/gaussian_process/gpc.py:397: RuntimeWarning: underflow encountered in multiply
B = np.eye(W.shape[0]) + W_sr_K * W_sr
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/gaussian_process/gpc.py:354: RuntimeWarning: underflow encountered in multiply
C = solve(L, W_sr[:, np.newaxis] * K) # Line 8
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/gaussian_process/kernels.py:1206: RuntimeWarning: underflow encountered in exp
K = np.exp(-.5 * dists)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/gaussian_process/kernels.py:1206: RuntimeWarning: underflow encountered in exp
K = np.exp(-.5 * dists)
ok
sklearn.gaussian_process.tests.test_gpr.test_gpr_interpolation ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/gaussian_process/kernels.py:1206: RuntimeWarning: underflow encountered in exp
K = np.exp(-.5 * dists)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/gaussian_process/kernels.py:1224: RuntimeWarning: underflow encountered in multiply
(K * squareform(dists))[:, :, np.newaxis]
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/gaussian_process/kernels.py:755: RuntimeWarning: underflow encountered in multiply
return K1 * K2, np.dstack((K1_gradient * K2[:, :, np.newaxis],
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/gaussian_process/kernels.py:756: RuntimeWarning: underflow encountered in multiply
K2_gradient * K1[:, :, np.newaxis]))
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/gaussian_process/kernels.py:1216: RuntimeWarning: underflow encountered in exp
K = np.exp(-.5 * dists)
ok
sklearn.gaussian_process.tests.test_gpr.test_lml_improving ... ok
sklearn.gaussian_process.tests.test_gpr.test_lml_precomputed ... ok
sklearn.gaussian_process.tests.test_gpr.test_converged_to_local_maximum ... ok
sklearn.gaussian_process.tests.test_gpr.test_solution_inside_bounds ... ok
sklearn.gaussian_process.tests.test_gpr.test_lml_gradient ... ok
sklearn.gaussian_process.tests.test_gpr.test_prior ... ok
sklearn.gaussian_process.tests.test_gpr.test_sample_statistics ... ok
sklearn.gaussian_process.tests.test_gpr.test_no_optimizer ... ok
sklearn.gaussian_process.tests.test_gpr.test_predict_cov_vs_std ... ok
sklearn.gaussian_process.tests.test_gpr.test_anisotropic_kernel ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/gaussian_process/gpr.py:457: UserWarning: fmin_l_bfgs_b terminated abnormally with the state: {'grad': array([-0.00015173, 0.00011681]), 'task': b'ABNORMAL_TERMINATION_IN_LNSRCH', 'funcalls': 74, 'nit': 10, 'warnflag': 2}
" state: %s" % convergence_dict)
ok
sklearn.gaussian_process.tests.test_gpr.test_random_starts ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/gaussian_process/kernels.py:1230: RuntimeWarning: underflow encountered in multiply
K_gradient *= K[..., np.newaxis]
ok
sklearn.gaussian_process.tests.test_gpr.test_y_normalization ... ok
sklearn.gaussian_process.tests.test_gpr.test_y_multioutput ... ok
sklearn.gaussian_process.tests.test_gpr.test_custom_optimizer ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/gaussian_process/kernels.py:758: RuntimeWarning: underflow encountered in multiply
return self.k1(X, Y) * self.k2(X, Y)
ok
sklearn.gaussian_process.tests.test_gpr.test_gpr_correct_error_message ... ok
sklearn.gaussian_process.tests.test_gpr.test_duplicate_input ... ok
sklearn.gaussian_process.tests.test_gpr.test_no_fit_default_predict ... ok
sklearn.gaussian_process.tests.test_kernels.test_kernel_gradient ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/gaussian_process/kernels.py:1362: RuntimeWarning: invalid value encountered in true_divide
/ np.sqrt(D.sum(2))[:, :, np.newaxis]
ok
sklearn.gaussian_process.tests.test_kernels.test_kernel_theta ... ok
sklearn.gaussian_process.tests.test_kernels.test_auto_vs_cross ... ok
sklearn.gaussian_process.tests.test_kernels.test_kernel_diag ... ok
sklearn.gaussian_process.tests.test_kernels.test_kernel_operator_commutative ... ok
sklearn.gaussian_process.tests.test_kernels.test_kernel_anisotropic ... ok
sklearn.gaussian_process.tests.test_kernels.test_kernel_stationary ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/metrics/pairwise.py:844: RuntimeWarning: underflow encountered in exp
np.exp(K, K) # exponentiate K in-place
ok
sklearn.gaussian_process.tests.test_kernels.test_kernel_clone(RBF(length_scale=43), RBF(length_scale=43)) ... ok
sklearn.gaussian_process.tests.test_kernels.test_kernel_clone(RBF(length_scale=43), RBF(length_scale=43)) ... ok
sklearn.gaussian_process.tests.test_kernels.test_kernel_clone(6.56**2, 6.56**2) ... ok
sklearn.gaussian_process.tests.test_kernels.test_kernel_clone(1.41**2 * RBF(length_scale=0.33), 1.41**2 * RBF(length_scale=0.33)) ... ok
sklearn.gaussian_process.tests.test_kernels.test_kernel_clone(1.41**2 * RBF(length_scale=0.5), 1.41**2 * RBF(length_scale=0.5)) ... ok
sklearn.gaussian_process.tests.test_kernels.test_kernel_clone(RBF(length_scale=2) + WhiteKernel(noise_level=3), RBF(length_scale=2) + WhiteKernel(noise_level=3)) ... ok
sklearn.gaussian_process.tests.test_kernels.test_kernel_clone(1.41**2 * RBF(length_scale=[0.5, 2]), 1.41**2 * RBF(length_scale=[0.5, 2])) ... ok
sklearn.gaussian_process.tests.test_kernels.test_kernel_clone(1.41**2 * Matern(length_scale=0.33, nu=1.5), 1.41**2 * Matern(length_scale=0.33, nu=1.5)) ... ok
sklearn.gaussian_process.tests.test_kernels.test_kernel_clone(1.41**2 * Matern(length_scale=0.5, nu=0.5), 1.41**2 * Matern(length_scale=0.5, nu=0.5)) ... ok
sklearn.gaussian_process.tests.test_kernels.test_kernel_clone(1.41**2 * Matern(length_scale=1.5, nu=1.5), 1.41**2 * Matern(length_scale=1.5, nu=1.5)) ... ok
sklearn.gaussian_process.tests.test_kernels.test_kernel_clone(1.41**2 * Matern(length_scale=2.5, nu=2.5), 1.41**2 * Matern(length_scale=2.5, nu=2.5)) ... ok
sklearn.gaussian_process.tests.test_kernels.test_kernel_clone(1.41**2 * Matern(length_scale=[0.5, 2], nu=0.5), 1.41**2 * Matern(length_scale=[0.5, 2], nu=0.5)) ... ok
sklearn.gaussian_process.tests.test_kernels.test_kernel_clone(1.73**2 * Matern(length_scale=[2, 0.5], nu=1.5), 1.73**2 * Matern(length_scale=[2, 0.5], nu=1.5)) ... ok
sklearn.gaussian_process.tests.test_kernels.test_kernel_clone(2**2 * Matern(length_scale=[0.5, 0.5], nu=2.5), 2**2 * Matern(length_scale=[0.5, 0.5], nu=2.5)) ... ok
sklearn.gaussian_process.tests.test_kernels.test_kernel_clone(RationalQuadratic(alpha=42, length_scale=43), RationalQuadratic(alpha=42, length_scale=43)) ... ok
sklearn.gaussian_process.tests.test_kernels.test_kernel_clone(ExpSineSquared(length_scale=42, periodicity=43), ExpSineSquared(length_scale=42, periodicity=43)) ... ok
sklearn.gaussian_process.tests.test_kernels.test_kernel_clone(DotProduct(sigma_0=43), DotProduct(sigma_0=43)) ... ok
sklearn.gaussian_process.tests.test_kernels.test_kernel_clone(DotProduct(sigma_0=2) ** 2, DotProduct(sigma_0=2) ** 2) ... ok
sklearn.gaussian_process.tests.test_kernels.test_kernel_clone(RBF(length_scale=43), RBF(length_scale=43)) ... ok
sklearn.gaussian_process.tests.test_kernels.test_kernel_clone(Matern(length_scale=43, nu=1.5), Matern(length_scale=43, nu=1.5)) ... ok
sklearn.gaussian_process.tests.test_kernels.test_kernel_clone(PairwiseKernel(gamma=43, metric=linear), PairwiseKernel(gamma=43, metric=linear)) ... ok
sklearn.gaussian_process.tests.test_kernels.test_kernel_clone(PairwiseKernel(gamma=43, metric=polynomial), PairwiseKernel(gamma=43, metric=polynomial)) ... ok
sklearn.gaussian_process.tests.test_kernels.test_kernel_clone(PairwiseKernel(gamma=43, metric=poly), PairwiseKernel(gamma=43, metric=poly)) ... ok
sklearn.gaussian_process.tests.test_kernels.test_kernel_clone(PairwiseKernel(gamma=43, metric=rbf), PairwiseKernel(gamma=43, metric=rbf)) ... ok
sklearn.gaussian_process.tests.test_kernels.test_kernel_clone(PairwiseKernel(gamma=43, metric=laplacian), PairwiseKernel(gamma=43, metric=laplacian)) ... ok
sklearn.gaussian_process.tests.test_kernels.test_kernel_clone(PairwiseKernel(gamma=43, metric=sigmoid), PairwiseKernel(gamma=43, metric=sigmoid)) ... ok
sklearn.gaussian_process.tests.test_kernels.test_kernel_clone(PairwiseKernel(gamma=43, metric=cosine), PairwiseKernel(gamma=43, metric=cosine)) ... ok
sklearn.gaussian_process.tests.test_kernels.test_kernel_clone_after_set_params(RBF(length_scale=[43, 43]), RBF(length_scale=[43, 43])) ... ok
sklearn.gaussian_process.tests.test_kernels.test_kernel_clone_after_set_params(RBF(length_scale=[43, 43]), RBF(length_scale=[43, 43])) ... ok
sklearn.gaussian_process.tests.test_kernels.test_kernel_clone_after_set_params(RBF(length_scale=[43, 43]), RBF(length_scale=[43, 43])) ... ok
sklearn.gaussian_process.tests.test_kernels.test_kernel_clone_after_set_params(Matern(length_scale=[43, 43], nu=1.5), Matern(length_scale=[43, 43], nu=1.5)) ... ok
sklearn.gaussian_process.tests.test_kernels.test_matern_kernel ... ok
sklearn.gaussian_process.tests.test_kernels.test_kernel_versus_pairwise ... ok
sklearn.gaussian_process.tests.test_kernels.test_set_get_params ... ok
sklearn.gaussian_process.tests.test_kernels.test_repr_kernels ... ok
sklearn.linear_model.tests.test_base.test_linear_regression ... ok
sklearn.linear_model.tests.test_base.test_linear_regression_sample_weights ... ok
sklearn.linear_model.tests.test_base.test_raises_value_error_if_sample_weights_greater_than_1d ... ok
sklearn.linear_model.tests.test_base.test_fit_intercept ... ok
sklearn.linear_model.tests.test_base.test_linear_regression_sparse ... ok
sklearn.linear_model.tests.test_base.test_linear_regression_multiple_outcome ... ok
sklearn.linear_model.tests.test_base.test_linear_regression_sparse_multiple_outcome ... ok
sklearn.linear_model.tests.test_base.test_preprocess_data ... ok
sklearn.linear_model.tests.test_base.test_preprocess_data_multioutput ... ok
sklearn.linear_model.tests.test_base.test_preprocess_data_weighted ... ok
sklearn.linear_model.tests.test_base.test_sparse_preprocess_data_with_return_mean ... ok
sklearn.linear_model.tests.test_base.test_deprecation_center_data ... ok
sklearn.linear_model.tests.test_base.test_csr_preprocess_data ... ok
sklearn.linear_model.tests.test_base.test_dtype_preprocess_data ... ok
sklearn.linear_model.tests.test_base.test_rescale_data ... ok
sklearn.linear_model.tests.test_bayes.test_bayesian_on_diabetes ... SKIP: XFailed Test
sklearn.linear_model.tests.test_bayes.test_bayesian_ridge_parameter ... ok
sklearn.linear_model.tests.test_bayes.test_toy_bayesian_ridge_object ... ok
sklearn.linear_model.tests.test_bayes.test_toy_ard_object ... ok
sklearn.linear_model.tests.test_bayes.test_return_std ... ok
sklearn.linear_model.tests.test_coordinate_descent.test_lasso_zero ... ok
sklearn.linear_model.tests.test_coordinate_descent.test_lasso_toy ... ok
sklearn.linear_model.tests.test_coordinate_descent.test_enet_toy ... ok
sklearn.linear_model.tests.test_coordinate_descent.test_lasso_cv ... ok
sklearn.linear_model.tests.test_coordinate_descent.test_lasso_cv_with_some_model_selection ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/model_selection/_split.py:605: Warning: The least populated class in y has only 1 members, which is too few. The minimum number of members in any class cannot be less than n_splits=5.
% (min_groups, self.n_splits)), Warning)
ok
sklearn.linear_model.tests.test_coordinate_descent.test_lasso_cv_positive_constraint ... ok
sklearn.linear_model.tests.test_coordinate_descent.test_lasso_path_return_models_vs_new_return_gives_same_coefficients ... ok
sklearn.linear_model.tests.test_coordinate_descent.test_enet_path ... ok
sklearn.linear_model.tests.test_coordinate_descent.test_path_parameters ... ok
sklearn.linear_model.tests.test_coordinate_descent.test_warm_start ... ok
sklearn.linear_model.tests.test_coordinate_descent.test_lasso_alpha_warning ... ok
sklearn.linear_model.tests.test_coordinate_descent.test_lasso_positive_constraint ... ok
sklearn.linear_model.tests.test_coordinate_descent.test_enet_positive_constraint ... ok
sklearn.linear_model.tests.test_coordinate_descent.test_enet_cv_positive_constraint ... ok
sklearn.linear_model.tests.test_coordinate_descent.test_uniform_targets ... ok
sklearn.linear_model.tests.test_coordinate_descent.test_multi_task_lasso_and_enet ... ok
sklearn.linear_model.tests.test_coordinate_descent.test_lasso_readonly_data ... ok
sklearn.linear_model.tests.test_coordinate_descent.test_multi_task_lasso_readonly_data ... ok
sklearn.linear_model.tests.test_coordinate_descent.test_enet_multitarget ... ok
sklearn.linear_model.tests.test_coordinate_descent.test_multioutput_enetcv_error ... ok
sklearn.linear_model.tests.test_coordinate_descent.test_multitask_enet_and_lasso_cv ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/coordinate_descent.py:1778: ConvergenceWarning: Objective did not converge, you might want to increase the number of iterations
ConvergenceWarning)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/coordinate_descent.py:1778: ConvergenceWarning: Objective did not converge, you might want to increase the number of iterations
ConvergenceWarning)
ok
sklearn.linear_model.tests.test_coordinate_descent.test_1d_multioutput_enet_and_multitask_enet_cv ... ok
sklearn.linear_model.tests.test_coordinate_descent.test_1d_multioutput_lasso_and_multitask_lasso_cv ... ok
sklearn.linear_model.tests.test_coordinate_descent.test_sparse_input_dtype_enet_and_lassocv ... ok
sklearn.linear_model.tests.test_coordinate_descent.test_precompute_invalid_argument ... ok
sklearn.linear_model.tests.test_coordinate_descent.test_warm_start_convergence ... ok
sklearn.linear_model.tests.test_coordinate_descent.test_warm_start_convergence_with_regularizer_decrement ... ok
sklearn.linear_model.tests.test_coordinate_descent.test_random_descent ... ok
sklearn.linear_model.tests.test_coordinate_descent.test_enet_path_positive ... ok
sklearn.linear_model.tests.test_coordinate_descent.test_sparse_dense_descent_paths ... ok
sklearn.linear_model.tests.test_coordinate_descent.test_check_input_false ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/coordinate_descent.py:491: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
ConvergenceWarning)
ok
sklearn.linear_model.tests.test_coordinate_descent.test_overrided_gram_matrix ... ok
sklearn.linear_model.tests.test_coordinate_descent.test_lasso_non_float_y ... ok
sklearn.linear_model.tests.test_coordinate_descent.test_enet_float_precision ... ok
sklearn.linear_model.tests.test_coordinate_descent.test_enet_l1_ratio ... ok
sklearn.linear_model.tests.test_huber.test_huber_equals_lr_for_high_epsilon ... ok
sklearn.linear_model.tests.test_huber.test_huber_max_iter ... ok
sklearn.linear_model.tests.test_huber.test_huber_gradient ... ok
sklearn.linear_model.tests.test_huber.test_huber_sample_weights ... ok
sklearn.linear_model.tests.test_huber.test_huber_sparse ... ok
sklearn.linear_model.tests.test_huber.test_huber_scaling_invariant ... ok
sklearn.linear_model.tests.test_huber.test_huber_and_sgd_same_results ... ok
sklearn.linear_model.tests.test_huber.test_huber_warm_start ... ok
sklearn.linear_model.tests.test_huber.test_huber_better_r2_score ... ok
sklearn.linear_model.tests.test_least_angle.test_simple ... ok
sklearn.linear_model.tests.test_least_angle.test_simple_precomputed ... ok
sklearn.linear_model.tests.test_least_angle.test_all_precomputed ... ok
sklearn.linear_model.tests.test_least_angle.test_lars_lstsq ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/tests/test_least_angle.py:95: FutureWarning: `rcond` parameter will change to the default of machine precision times ``max(M, N)`` where M and N are the input matrix dimensions.
To use the future default and silence this warning we advise to pass `rcond=None`, to keep using the old, explicitly pass `rcond=-1`.
coef_lstsq = np.linalg.lstsq(X1, y)[0]
ok
sklearn.linear_model.tests.test_least_angle.test_lasso_gives_lstsq_solution ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/tests/test_least_angle.py:103: FutureWarning: `rcond` parameter will change to the default of machine precision times ``max(M, N)`` where M and N are the input matrix dimensions.
To use the future default and silence this warning we advise to pass `rcond=None`, to keep using the old, explicitly pass `rcond=-1`.
coef_lstsq = np.linalg.lstsq(X, y)[0]
ok
sklearn.linear_model.tests.test_least_angle.test_collinearity ... ok
sklearn.linear_model.tests.test_least_angle.test_no_path ... ok
sklearn.linear_model.tests.test_least_angle.test_no_path_precomputed ... ok
sklearn.linear_model.tests.test_least_angle.test_no_path_all_precomputed ... ok
sklearn.linear_model.tests.test_least_angle.test_lars_precompute ... ok
sklearn.linear_model.tests.test_least_angle.test_singular_matrix ... ok
sklearn.linear_model.tests.test_least_angle.test_rank_deficient_design ... ok
sklearn.linear_model.tests.test_least_angle.test_lasso_lars_vs_lasso_cd ... ok
sklearn.linear_model.tests.test_least_angle.test_lasso_lars_vs_lasso_cd_early_stopping ... ok
sklearn.linear_model.tests.test_least_angle.test_multitarget ... ok
sklearn.linear_model.tests.test_least_angle.test_lasso_lars_path_length ... ok
sklearn.linear_model.tests.test_least_angle.test_lasso_lars_vs_lasso_cd_ill_conditioned ... ok
sklearn.linear_model.tests.test_least_angle.test_lasso_lars_vs_lasso_cd_ill_conditioned2 ... ok
sklearn.linear_model.tests.test_least_angle.test_lars_add_features ... ok
sklearn.linear_model.tests.test_least_angle.test_lars_n_nonzero_coefs ... ok
sklearn.linear_model.tests.test_least_angle.test_lars_cv ... ok
sklearn.linear_model.tests.test_least_angle.test_lars_cv_max_iter ... ok
sklearn.linear_model.tests.test_least_angle.test_lasso_lars_ic ... ok
sklearn.linear_model.tests.test_least_angle.test_lars_path_readonly_data ... ok
sklearn.linear_model.tests.test_least_angle.test_lars_path_positive_constraint ... ok
sklearn.linear_model.tests.test_least_angle.test_estimatorclasses_positive_constraint ... ok
sklearn.linear_model.tests.test_least_angle.test_lasso_lars_vs_lasso_cd_positive ... ok
sklearn.linear_model.tests.test_least_angle.test_lasso_lars_vs_R_implementation ... ok
sklearn.linear_model.tests.test_logistic.test_predict_2_classes ... ok
sklearn.linear_model.tests.test_logistic.test_error ... ok
sklearn.linear_model.tests.test_logistic.test_lr_liblinear_warning ... ok
sklearn.linear_model.tests.test_logistic.test_predict_3_classes ... ok
sklearn.linear_model.tests.test_logistic.test_predict_iris ... ok
sklearn.linear_model.tests.test_logistic.test_multinomial_validation ... ok
sklearn.linear_model.tests.test_logistic.test_check_solver_option ... ok
sklearn.linear_model.tests.test_logistic.test_multinomial_binary ... ok
sklearn.linear_model.tests.test_logistic.test_sparsify ... ok
sklearn.linear_model.tests.test_logistic.test_inconsistent_input ... ok
sklearn.linear_model.tests.test_logistic.test_write_parameters ... ok
sklearn.linear_model.tests.test_logistic.test_nan ... ok
sklearn.linear_model.tests.test_logistic.test_consistency_path ... ok
sklearn.linear_model.tests.test_logistic.test_max_iter ... ok
sklearn.linear_model.tests.test_logistic.test_liblinear_dual_random_state ... ok
sklearn.linear_model.tests.test_logistic.test_logistic_loss_and_grad ... ok
sklearn.linear_model.tests.test_logistic.test_logistic_grad_hess ... ok
sklearn.linear_model.tests.test_logistic.test_logistic_cv ... ok
sklearn.linear_model.tests.test_logistic.test_multinomial_logistic_regression_string_inputs ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/preprocessing/label.py:151: DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty.
if diff:
ok
sklearn.linear_model.tests.test_logistic.test_logistic_cv_sparse ... ok
sklearn.linear_model.tests.test_logistic.test_intercept_logistic_helper ... ok
sklearn.linear_model.tests.test_logistic.test_ovr_multinomial_iris ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/sag.py:326: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
"the coef_ did not converge", ConvergenceWarning)
ok
sklearn.linear_model.tests.test_logistic.test_logistic_regression_solvers ... ok
sklearn.linear_model.tests.test_logistic.test_logistic_regression_solvers_multiclass ... ok
sklearn.linear_model.tests.test_logistic.test_logistic_regressioncv_class_weights ... ok
sklearn.linear_model.tests.test_logistic.test_logistic_regression_sample_weights ... ok
sklearn.linear_model.tests.test_logistic.test_logistic_regression_class_weights ... ok
sklearn.linear_model.tests.test_logistic.test_logistic_regression_convergence_warnings ... iter 1 act 8.747e+00 pre 7.841e+00 delta 1.521e+00 f 1.386e+01 |g| 1.607e+01 CG 3
iter 2 act 9.618e-01 pre 8.065e-01 delta 1.521e+00 f 5.116e+00 |g| 3.834e+00 CG 2
ok
sklearn.linear_model.tests.test_logistic.test_logistic_regression_multinomial ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/sag.py:326: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
"the coef_ did not converge", ConvergenceWarning)
ok
sklearn.linear_model.tests.test_logistic.test_multinomial_grad_hess ... ok
sklearn.linear_model.tests.test_logistic.test_liblinear_decision_function_zero ... ok
sklearn.linear_model.tests.test_logistic.test_liblinear_logregcv_sparse ... ok
sklearn.linear_model.tests.test_logistic.test_saga_sparse ... ok
sklearn.linear_model.tests.test_logistic.test_logreg_intercept_scaling ... ok
sklearn.linear_model.tests.test_logistic.test_logreg_intercept_scaling_zero ... ok
sklearn.linear_model.tests.test_logistic.test_logreg_l1 ... ok
sklearn.linear_model.tests.test_logistic.test_logreg_l1_sparse_data ... ok
sklearn.linear_model.tests.test_logistic.test_logreg_cv_penalty ... ok
sklearn.linear_model.tests.test_logistic.test_logreg_predict_proba_multinomial ... ok
sklearn.linear_model.tests.test_logistic.test_n_iter ... ok
sklearn.linear_model.tests.test_logistic.test_warm_start ... ok
sklearn.linear_model.tests.test_logistic.test_saga_vs_liblinear ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/sag.py:326: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
"the coef_ did not converge", ConvergenceWarning)
ok
sklearn.linear_model.tests.test_logistic.test_dtype_match ... SKIP
sklearn.linear_model.tests.test_omp.test_correct_shapes ... ok
sklearn.linear_model.tests.test_omp.test_correct_shapes_gram ... ok
sklearn.linear_model.tests.test_omp.test_n_nonzero_coefs ... ok
sklearn.linear_model.tests.test_omp.test_tol ... ok
sklearn.linear_model.tests.test_omp.test_with_without_gram ... ok
sklearn.linear_model.tests.test_omp.test_with_without_gram_tol ... ok
sklearn.linear_model.tests.test_omp.test_unreachable_accuracy ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/omp.py:385: RuntimeWarning: Orthogonal matching pursuit ended prematurely due to linear
dependence in the dictionary. The requested precision might not have been met.
copy_X=copy_X, return_path=return_path)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/omp.py:374: RuntimeWarning: Orthogonal matching pursuit ended prematurely due to linear
dependence in the dictionary. The requested precision might not have been met.
return_path=return_path)
ok
sklearn.linear_model.tests.test_omp.test_bad_input ... ok
sklearn.linear_model.tests.test_omp.test_perfect_signal_recovery ... ok
sklearn.linear_model.tests.test_omp.test_estimator ... ok
sklearn.linear_model.tests.test_omp.test_identical_regressors ... ok
sklearn.linear_model.tests.test_omp.test_swapped_regressors ... ok
sklearn.linear_model.tests.test_omp.test_no_atoms ... ok
sklearn.linear_model.tests.test_omp.test_omp_path ... ok
sklearn.linear_model.tests.test_omp.test_omp_return_path_prop_with_gram ... ok
sklearn.linear_model.tests.test_omp.test_omp_cv ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/omp.py:385: RuntimeWarning: Orthogonal matching pursuit ended prematurely due to linear
dependence in the dictionary. The requested precision might not have been met.
copy_X=copy_X, return_path=return_path)
ok
sklearn.linear_model.tests.test_omp.test_omp_reaches_least_squares ... ok
sklearn.linear_model.tests.test_passive_aggressive.test_classifier_accuracy ... ok
sklearn.linear_model.tests.test_passive_aggressive.test_classifier_partial_fit ... ok
sklearn.linear_model.tests.test_passive_aggressive.test_classifier_refit ... ok
sklearn.linear_model.tests.test_passive_aggressive.test_classifier_correctness ... ok
sklearn.linear_model.tests.test_passive_aggressive.test_classifier_undefined_methods ... ok
sklearn.linear_model.tests.test_passive_aggressive.test_class_weights ... ok
sklearn.linear_model.tests.test_passive_aggressive.test_partial_fit_weight_class_balanced ... ok
sklearn.linear_model.tests.test_passive_aggressive.test_equal_class_weight ... ok
sklearn.linear_model.tests.test_passive_aggressive.test_wrong_class_weight_label ... ok
sklearn.linear_model.tests.test_passive_aggressive.test_wrong_class_weight_format ... ok
sklearn.linear_model.tests.test_passive_aggressive.test_regressor_mse ... ok
sklearn.linear_model.tests.test_passive_aggressive.test_regressor_partial_fit ... ok
sklearn.linear_model.tests.test_passive_aggressive.test_regressor_correctness ... ok
sklearn.linear_model.tests.test_passive_aggressive.test_regressor_undefined_methods ... ok
sklearn.linear_model.tests.test_perceptron.test_perceptron_accuracy ... ok
sklearn.linear_model.tests.test_perceptron.test_perceptron_correctness ... ok
sklearn.linear_model.tests.test_perceptron.test_undefined_methods ... ok
sklearn.linear_model.tests.test_randomized_l1.test_randomized_lasso_precompute ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/deprecation.py:58: DeprecationWarning: Class RandomizedLasso is deprecated; The class RandomizedLasso is deprecated in 0.19 and will be removed in 0.21.
warnings.warn(msg, category=DeprecationWarning)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/deprecation.py:58: DeprecationWarning: Class RandomizedLasso is deprecated; The class RandomizedLasso is deprecated in 0.19 and will be removed in 0.21.
warnings.warn(msg, category=DeprecationWarning)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/deprecation.py:58: DeprecationWarning: Class RandomizedLasso is deprecated; The class RandomizedLasso is deprecated in 0.19 and will be removed in 0.21.
warnings.warn(msg, category=DeprecationWarning)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/deprecation.py:58: DeprecationWarning: Class RandomizedLasso is deprecated; The class RandomizedLasso is deprecated in 0.19 and will be removed in 0.21.
warnings.warn(msg, category=DeprecationWarning)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/deprecation.py:58: DeprecationWarning: Class RandomizedLasso is deprecated; The class RandomizedLasso is deprecated in 0.19 and will be removed in 0.21.
warnings.warn(msg, category=DeprecationWarning)
ok
sklearn.linear_model.tests.test_randomized_l1.test_warning_raised ... ok
sklearn.linear_model.tests.test_randomized_l1.test_lasso_stability_path ... ok
sklearn.linear_model.tests.test_randomized_l1.test_randomized_lasso ... ok
sklearn.linear_model.tests.test_randomized_l1.test_randomized_lasso_error_memory ... ok
sklearn.linear_model.tests.test_randomized_l1.test_randomized_logistic ... ok
sklearn.linear_model.tests.test_randomized_l1.test_randomized_logistic_sparse ... ok
sklearn.linear_model.tests.test_ransac.test_ransac_inliers_outliers ... ok
sklearn.linear_model.tests.test_ransac.test_ransac_is_data_valid ... ok
sklearn.linear_model.tests.test_ransac.test_ransac_is_model_valid ... ok
sklearn.linear_model.tests.test_ransac.test_ransac_max_trials ... ok
sklearn.linear_model.tests.test_ransac.test_ransac_stop_n_inliers ... ok
sklearn.linear_model.tests.test_ransac.test_ransac_stop_score ... ok
sklearn.linear_model.tests.test_ransac.test_ransac_score ... ok
sklearn.linear_model.tests.test_ransac.test_ransac_predict ... ok
sklearn.linear_model.tests.test_ransac.test_ransac_resid_thresh_no_inliers ... ok
sklearn.linear_model.tests.test_ransac.test_ransac_no_valid_data ... ok
sklearn.linear_model.tests.test_ransac.test_ransac_no_valid_model ... ok
sklearn.linear_model.tests.test_ransac.test_ransac_exceed_max_skips ... ok
sklearn.linear_model.tests.test_ransac.test_ransac_warn_exceed_max_skips ... ok
sklearn.linear_model.tests.test_ransac.test_ransac_sparse_coo ... ok
sklearn.linear_model.tests.test_ransac.test_ransac_sparse_csr ... ok
sklearn.linear_model.tests.test_ransac.test_ransac_sparse_csc ... ok
sklearn.linear_model.tests.test_ransac.test_ransac_none_estimator ... ok
sklearn.linear_model.tests.test_ransac.test_ransac_min_n_samples ... ok
sklearn.linear_model.tests.test_ransac.test_ransac_multi_dimensional_targets ... ok
sklearn.linear_model.tests.test_ransac.test_ransac_residual_metric ... ok
sklearn.linear_model.tests.test_ransac.test_ransac_residual_loss ... ok
sklearn.linear_model.tests.test_ransac.test_ransac_default_residual_threshold ... ok
sklearn.linear_model.tests.test_ransac.test_ransac_dynamic_max_trials ... ok
sklearn.linear_model.tests.test_ransac.test_ransac_fit_sample_weight ... ok
sklearn.linear_model.tests.test_ridge.test_ridge ... <string>:2: DeprecationWarning: scipy.sparse.linalg.cg called without specifying `atol`. The default value will be changed in a future release. For compatibility, specify a value for `atol` explicitly, e.g., ``cg(..., atol=0)``, or to retain the old behavior ``cg(..., atol='legacy')``
ok
sklearn.linear_model.tests.test_ridge.test_primal_dual_relationship ... ok
sklearn.linear_model.tests.test_ridge.test_ridge_singular ... ok
sklearn.linear_model.tests.test_ridge.test_ridge_regression_sample_weights ... ok
sklearn.linear_model.tests.test_ridge.test_ridge_sample_weights ... ok
sklearn.linear_model.tests.test_ridge.test_ridge_shapes ... ok
sklearn.linear_model.tests.test_ridge.test_ridge_intercept ... ok
sklearn.linear_model.tests.test_ridge.test_toy_ridge_object ... ok
sklearn.linear_model.tests.test_ridge.test_ridge_vs_lstsq ... ok
sklearn.linear_model.tests.test_ridge.test_ridge_individual_penalties ... ok
sklearn.linear_model.tests.test_ridge.test_n_iter ... ok
sklearn.linear_model.tests.test_ridge.test_dense_sparse(<function _test_ridge_loo at 0xf2ab7bb8>,) ... ok
sklearn.linear_model.tests.test_ridge.test_dense_sparse(<function _test_ridge_cv at 0xf2ab7c48>,) ... ok
sklearn.linear_model.tests.test_ridge.test_dense_sparse(<function _test_ridge_cv_normalize at 0xf2ab7c00>,) ... ok
sklearn.linear_model.tests.test_ridge.test_dense_sparse(<function _test_ridge_diabetes at 0xf2ab7c90>,) ... <string>:2: DeprecationWarning: scipy.sparse.linalg.cg called without specifying `atol`. The default value will be changed in a future release. For compatibility, specify a value for `atol` explicitly, e.g., ``cg(..., atol=0)``, or to retain the old behavior ``cg(..., atol='legacy')``
ok
sklearn.linear_model.tests.test_ridge.test_dense_sparse(<function _test_multi_ridge_diabetes at 0xf2ab7cd8>,) ... ok
sklearn.linear_model.tests.test_ridge.test_dense_sparse(<function _test_ridge_classifiers at 0xf2ab7d20>,) ... ok
sklearn.linear_model.tests.test_ridge.test_dense_sparse(<function _test_tolerance at 0xf2ab7d68>,) ... <string>:2: DeprecationWarning: scipy.sparse.linalg.cg called without specifying `atol`. The default value will be changed in a future release. For compatibility, specify a value for `atol` explicitly, e.g., ``cg(..., atol=0)``, or to retain the old behavior ``cg(..., atol='legacy')``
ok
sklearn.linear_model.tests.test_ridge.test_ridge_cv_sparse_svd ... ok
sklearn.linear_model.tests.test_ridge.test_ridge_sparse_svd ... ok
sklearn.linear_model.tests.test_ridge.test_class_weights ... ok
Check class_weights resemble sample_weights behavior. ... ok
sklearn.linear_model.tests.test_ridge.test_class_weights_cv ... ok
sklearn.linear_model.tests.test_ridge.test_ridgecv_store_cv_values ... ok
sklearn.linear_model.tests.test_ridge.test_ridgecv_sample_weight ... ok
sklearn.linear_model.tests.test_ridge.test_raises_value_error_if_sample_weights_greater_than_1d ... ok
sklearn.linear_model.tests.test_ridge.test_sparse_design_with_sample_weights ... ok
sklearn.linear_model.tests.test_ridge.test_raises_value_error_if_solver_not_supported ... ok
sklearn.linear_model.tests.test_ridge.test_sparse_cg_max_iter ... <string>:2: DeprecationWarning: scipy.sparse.linalg.cg called without specifying `atol`. The default value will be changed in a future release. For compatibility, specify a value for `atol` explicitly, e.g., ``cg(..., atol=0)``, or to retain the old behavior ``cg(..., atol='legacy')``
ok
sklearn.linear_model.tests.test_ridge.test_ridge_fit_intercept_sparse ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/ridge.py:319: UserWarning: In Ridge, only 'sag' solver can currently fit the intercept when X is sparse. Solver has been automatically changed into 'sag'.
warnings.warn("In Ridge, only 'sag' solver can currently fit the "
ok
sklearn.linear_model.tests.test_ridge.test_errors_and_values_helper ... ok
sklearn.linear_model.tests.test_ridge.test_errors_and_values_svd_helper ... ok
sklearn.linear_model.tests.test_ridge.test_ridge_classifier_no_support_multilabel ... ok
sklearn.linear_model.tests.test_ridge.test_dtype_match ... <string>:2: DeprecationWarning: scipy.sparse.linalg.cg called without specifying `atol`. The default value will be changed in a future release. For compatibility, specify a value for `atol` explicitly, e.g., ``cg(..., atol=0)``, or to retain the old behavior ``cg(..., atol='legacy')``
ok
sklearn.linear_model.tests.test_ridge.test_dtype_match_cholesky ... ok
tests binary classifier with classweights for each class ... ok
sklearn.linear_model.tests.test_sag.test_classifier_matching ... ok
tests if classifier results match target ... ok
sklearn.linear_model.tests.test_sag.test_get_auto_step_size ... ok
tests multiclass with classweights for each class ... ok
sklearn.linear_model.tests.test_sag.test_regressor_matching ... ok
tests if the binary classifier is computed correctly ... ok
tests if the multiclass classifier is computed correctly ... ok
tests if the sag pobj matches log reg ... ok
tests if the sag pobj matches ridge reg ... ok
tests if the sag regressor performs well ... ok
tests if the sag regressor is computed correctly ... ok
tests if ValueError is thrown with only one class ... ok
sklearn.linear_model.tests.test_sag.test_step_size_alpha_error ... ok
sklearn.linear_model.tests.test_sag.test_multinomial_loss ... ok
sklearn.linear_model.tests.test_sag.test_multinomial_loss_ground_truth ... ok
test_argument_coef (sklearn.linear_model.tests.test_sgd.DenseSGDClassifierTestCase) ... ok
test_average_binary_computed_correctly (sklearn.linear_model.tests.test_sgd.DenseSGDClassifierTestCase) ... ok
test_balanced_weight (sklearn.linear_model.tests.test_sgd.DenseSGDClassifierTestCase) ... ok
test_class_weights (sklearn.linear_model.tests.test_sgd.DenseSGDClassifierTestCase) ... ok
test_clone (sklearn.linear_model.tests.test_sgd.DenseSGDClassifierTestCase) ... ok
test_equal_class_weight (sklearn.linear_model.tests.test_sgd.DenseSGDClassifierTestCase) ... ok
test_fit_then_partial_fit (sklearn.linear_model.tests.test_sgd.DenseSGDClassifierTestCase) ... ok
test_input_format (sklearn.linear_model.tests.test_sgd.DenseSGDClassifierTestCase) ... ok
test_late_onset_averaging_not_reached (sklearn.linear_model.tests.test_sgd.DenseSGDClassifierTestCase) ... ok
test_late_onset_averaging_reached (sklearn.linear_model.tests.test_sgd.DenseSGDClassifierTestCase) ... ok
test_multiple_fit (sklearn.linear_model.tests.test_sgd.DenseSGDClassifierTestCase) ... ok
test_partial_fit_binary (sklearn.linear_model.tests.test_sgd.DenseSGDClassifierTestCase) ... ok
test_partial_fit_equal_fit_constant (sklearn.linear_model.tests.test_sgd.DenseSGDClassifierTestCase) ... ok
test_partial_fit_equal_fit_invscaling (sklearn.linear_model.tests.test_sgd.DenseSGDClassifierTestCase) ... ok
test_partial_fit_equal_fit_optimal (sklearn.linear_model.tests.test_sgd.DenseSGDClassifierTestCase) ... ok
test_partial_fit_exception (sklearn.linear_model.tests.test_sgd.DenseSGDClassifierTestCase) ... ok
test_partial_fit_multiclass (sklearn.linear_model.tests.test_sgd.DenseSGDClassifierTestCase) ... ok
test_partial_fit_multiclass_average (sklearn.linear_model.tests.test_sgd.DenseSGDClassifierTestCase) ... ok
test_partial_fit_weight_class_balanced (sklearn.linear_model.tests.test_sgd.DenseSGDClassifierTestCase) ... ok
test_plain_has_no_average_attr (sklearn.linear_model.tests.test_sgd.DenseSGDClassifierTestCase) ... ok
test_provide_coef (sklearn.linear_model.tests.test_sgd.DenseSGDClassifierTestCase) ... ok
test_regression_losses (sklearn.linear_model.tests.test_sgd.DenseSGDClassifierTestCase) ... ok
test_sample_weights (sklearn.linear_model.tests.test_sgd.DenseSGDClassifierTestCase) ... ok
test_set_coef_multiclass (sklearn.linear_model.tests.test_sgd.DenseSGDClassifierTestCase) ... ok
test_set_intercept (sklearn.linear_model.tests.test_sgd.DenseSGDClassifierTestCase) ... ok
test_set_intercept_binary (sklearn.linear_model.tests.test_sgd.DenseSGDClassifierTestCase) ... ok
test_set_intercept_to_intercept (sklearn.linear_model.tests.test_sgd.DenseSGDClassifierTestCase) ... ok
test_sgd (sklearn.linear_model.tests.test_sgd.DenseSGDClassifierTestCase) ... ok
test_sgd_at_least_two_labels (sklearn.linear_model.tests.test_sgd.DenseSGDClassifierTestCase) ... ok
test_sgd_bad_alpha (sklearn.linear_model.tests.test_sgd.DenseSGDClassifierTestCase) ... ok
test_sgd_bad_alpha_for_optimal_learning_rate (sklearn.linear_model.tests.test_sgd.DenseSGDClassifierTestCase) ... ok
test_sgd_bad_eta0 (sklearn.linear_model.tests.test_sgd.DenseSGDClassifierTestCase) ... ok
test_sgd_bad_l1_ratio (sklearn.linear_model.tests.test_sgd.DenseSGDClassifierTestCase) ... ok
test_sgd_bad_learning_rate_schedule (sklearn.linear_model.tests.test_sgd.DenseSGDClassifierTestCase) ... ok
test_sgd_bad_loss (sklearn.linear_model.tests.test_sgd.DenseSGDClassifierTestCase) ... ok
test_sgd_bad_penalty (sklearn.linear_model.tests.test_sgd.DenseSGDClassifierTestCase) ... ok
test_sgd_l1 (sklearn.linear_model.tests.test_sgd.DenseSGDClassifierTestCase) ... ok
test_sgd_max_iter_param (sklearn.linear_model.tests.test_sgd.DenseSGDClassifierTestCase) ... ok
test_sgd_multiclass (sklearn.linear_model.tests.test_sgd.DenseSGDClassifierTestCase) ... ok
test_sgd_multiclass_average (sklearn.linear_model.tests.test_sgd.DenseSGDClassifierTestCase) ... ok
test_sgd_multiclass_njobs (sklearn.linear_model.tests.test_sgd.DenseSGDClassifierTestCase) ... ok
test_sgd_multiclass_with_init_coef (sklearn.linear_model.tests.test_sgd.DenseSGDClassifierTestCase) ... ok
test_sgd_proba (sklearn.linear_model.tests.test_sgd.DenseSGDClassifierTestCase) ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/stochastic_gradient.py:904: RuntimeWarning: divide by zero encountered in log
return np.log(self.predict_proba(X))
ok
test_sgd_shuffle_param (sklearn.linear_model.tests.test_sgd.DenseSGDClassifierTestCase) ... ok
test_warm_start_constant (sklearn.linear_model.tests.test_sgd.DenseSGDClassifierTestCase) ... ok
test_warm_start_invscaling (sklearn.linear_model.tests.test_sgd.DenseSGDClassifierTestCase) ... ok
test_warm_start_multiclass (sklearn.linear_model.tests.test_sgd.DenseSGDClassifierTestCase) ... ok
test_warm_start_optimal (sklearn.linear_model.tests.test_sgd.DenseSGDClassifierTestCase) ... ok
test_weights_multiplied (sklearn.linear_model.tests.test_sgd.DenseSGDClassifierTestCase) ... ok
test_wrong_class_weight_format (sklearn.linear_model.tests.test_sgd.DenseSGDClassifierTestCase) ... ok
test_wrong_class_weight_label (sklearn.linear_model.tests.test_sgd.DenseSGDClassifierTestCase) ... ok
test_wrong_sample_weights (sklearn.linear_model.tests.test_sgd.DenseSGDClassifierTestCase) ... ok
test_average_sparse (sklearn.linear_model.tests.test_sgd.DenseSGDRegressorTestCase) ... ok
test_clone (sklearn.linear_model.tests.test_sgd.DenseSGDRegressorTestCase) ... ok
test_elasticnet_convergence (sklearn.linear_model.tests.test_sgd.DenseSGDRegressorTestCase) ... ok
test_input_format (sklearn.linear_model.tests.test_sgd.DenseSGDRegressorTestCase) ... ok
test_late_onset_averaging_not_reached (sklearn.linear_model.tests.test_sgd.DenseSGDRegressorTestCase) ... ok
test_late_onset_averaging_reached (sklearn.linear_model.tests.test_sgd.DenseSGDRegressorTestCase) ... ok
test_loss_function_epsilon (sklearn.linear_model.tests.test_sgd.DenseSGDRegressorTestCase) ... ok
test_partial_fit (sklearn.linear_model.tests.test_sgd.DenseSGDRegressorTestCase) ... ok
test_partial_fit_equal_fit_constant (sklearn.linear_model.tests.test_sgd.DenseSGDRegressorTestCase) ... ok
test_partial_fit_equal_fit_invscaling (sklearn.linear_model.tests.test_sgd.DenseSGDRegressorTestCase) ... ok
test_partial_fit_equal_fit_optimal (sklearn.linear_model.tests.test_sgd.DenseSGDRegressorTestCase) ... ok
test_plain_has_no_average_attr (sklearn.linear_model.tests.test_sgd.DenseSGDRegressorTestCase) ... ok
test_sgd (sklearn.linear_model.tests.test_sgd.DenseSGDRegressorTestCase) ... ok
test_sgd_averaged_computed_correctly (sklearn.linear_model.tests.test_sgd.DenseSGDRegressorTestCase) ... ok
test_sgd_averaged_partial_fit (sklearn.linear_model.tests.test_sgd.DenseSGDRegressorTestCase) ... ok
test_sgd_bad_alpha_for_optimal_learning_rate (sklearn.linear_model.tests.test_sgd.DenseSGDRegressorTestCase) ... ok
test_sgd_bad_loss (sklearn.linear_model.tests.test_sgd.DenseSGDRegressorTestCase) ... ok
test_sgd_bad_penalty (sklearn.linear_model.tests.test_sgd.DenseSGDRegressorTestCase) ... ok
test_sgd_epsilon_insensitive (sklearn.linear_model.tests.test_sgd.DenseSGDRegressorTestCase) ... ok
test_sgd_huber_fit (sklearn.linear_model.tests.test_sgd.DenseSGDRegressorTestCase) ... ok
test_sgd_least_squares_fit (sklearn.linear_model.tests.test_sgd.DenseSGDRegressorTestCase) ... ok
test_warm_start_constant (sklearn.linear_model.tests.test_sgd.DenseSGDRegressorTestCase) ... ok
test_warm_start_invscaling (sklearn.linear_model.tests.test_sgd.DenseSGDRegressorTestCase) ... ok
test_warm_start_optimal (sklearn.linear_model.tests.test_sgd.DenseSGDRegressorTestCase) ... ok
test_argument_coef (sklearn.linear_model.tests.test_sgd.SparseSGDClassifierTestCase) ... ok
test_average_binary_computed_correctly (sklearn.linear_model.tests.test_sgd.SparseSGDClassifierTestCase) ... ok
test_balanced_weight (sklearn.linear_model.tests.test_sgd.SparseSGDClassifierTestCase) ... ok
test_class_weights (sklearn.linear_model.tests.test_sgd.SparseSGDClassifierTestCase) ... ok
test_clone (sklearn.linear_model.tests.test_sgd.SparseSGDClassifierTestCase) ... ok
test_equal_class_weight (sklearn.linear_model.tests.test_sgd.SparseSGDClassifierTestCase) ... ok
test_fit_then_partial_fit (sklearn.linear_model.tests.test_sgd.SparseSGDClassifierTestCase) ... ok
test_input_format (sklearn.linear_model.tests.test_sgd.SparseSGDClassifierTestCase) ... ok
test_late_onset_averaging_not_reached (sklearn.linear_model.tests.test_sgd.SparseSGDClassifierTestCase) ... ok
test_late_onset_averaging_reached (sklearn.linear_model.tests.test_sgd.SparseSGDClassifierTestCase) ... ok
test_multiple_fit (sklearn.linear_model.tests.test_sgd.SparseSGDClassifierTestCase) ... ok
test_partial_fit_binary (sklearn.linear_model.tests.test_sgd.SparseSGDClassifierTestCase) ... ok
test_partial_fit_equal_fit_constant (sklearn.linear_model.tests.test_sgd.SparseSGDClassifierTestCase) ... ok
test_partial_fit_equal_fit_invscaling (sklearn.linear_model.tests.test_sgd.SparseSGDClassifierTestCase) ... ok
test_partial_fit_equal_fit_optimal (sklearn.linear_model.tests.test_sgd.SparseSGDClassifierTestCase) ... ok
test_partial_fit_exception (sklearn.linear_model.tests.test_sgd.SparseSGDClassifierTestCase) ... ok
test_partial_fit_multiclass (sklearn.linear_model.tests.test_sgd.SparseSGDClassifierTestCase) ... ok
test_partial_fit_multiclass_average (sklearn.linear_model.tests.test_sgd.SparseSGDClassifierTestCase) ... ok
test_partial_fit_weight_class_balanced (sklearn.linear_model.tests.test_sgd.SparseSGDClassifierTestCase) ... ok
test_plain_has_no_average_attr (sklearn.linear_model.tests.test_sgd.SparseSGDClassifierTestCase) ... ok
test_provide_coef (sklearn.linear_model.tests.test_sgd.SparseSGDClassifierTestCase) ... ok
test_regression_losses (sklearn.linear_model.tests.test_sgd.SparseSGDClassifierTestCase) ... ok
test_sample_weights (sklearn.linear_model.tests.test_sgd.SparseSGDClassifierTestCase) ... ok
test_set_coef_multiclass (sklearn.linear_model.tests.test_sgd.SparseSGDClassifierTestCase) ... ok
test_set_intercept (sklearn.linear_model.tests.test_sgd.SparseSGDClassifierTestCase) ... ok
test_set_intercept_binary (sklearn.linear_model.tests.test_sgd.SparseSGDClassifierTestCase) ... ok
test_set_intercept_to_intercept (sklearn.linear_model.tests.test_sgd.SparseSGDClassifierTestCase) ... ok
test_sgd (sklearn.linear_model.tests.test_sgd.SparseSGDClassifierTestCase) ... ok
test_sgd_at_least_two_labels (sklearn.linear_model.tests.test_sgd.SparseSGDClassifierTestCase) ... ok
test_sgd_bad_alpha (sklearn.linear_model.tests.test_sgd.SparseSGDClassifierTestCase) ... ok
test_sgd_bad_alpha_for_optimal_learning_rate (sklearn.linear_model.tests.test_sgd.SparseSGDClassifierTestCase) ... ok
test_sgd_bad_eta0 (sklearn.linear_model.tests.test_sgd.SparseSGDClassifierTestCase) ... ok
test_sgd_bad_l1_ratio (sklearn.linear_model.tests.test_sgd.SparseSGDClassifierTestCase) ... ok
test_sgd_bad_learning_rate_schedule (sklearn.linear_model.tests.test_sgd.SparseSGDClassifierTestCase) ... ok
test_sgd_bad_loss (sklearn.linear_model.tests.test_sgd.SparseSGDClassifierTestCase) ... ok
test_sgd_bad_penalty (sklearn.linear_model.tests.test_sgd.SparseSGDClassifierTestCase) ... ok
test_sgd_l1 (sklearn.linear_model.tests.test_sgd.SparseSGDClassifierTestCase) ... ok
test_sgd_max_iter_param (sklearn.linear_model.tests.test_sgd.SparseSGDClassifierTestCase) ... ok
test_sgd_multiclass (sklearn.linear_model.tests.test_sgd.SparseSGDClassifierTestCase) ... ok
test_sgd_multiclass_average (sklearn.linear_model.tests.test_sgd.SparseSGDClassifierTestCase) ... ok
test_sgd_multiclass_njobs (sklearn.linear_model.tests.test_sgd.SparseSGDClassifierTestCase) ... ok
test_sgd_multiclass_with_init_coef (sklearn.linear_model.tests.test_sgd.SparseSGDClassifierTestCase) ... ok
test_sgd_proba (sklearn.linear_model.tests.test_sgd.SparseSGDClassifierTestCase) ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/stochastic_gradient.py:904: RuntimeWarning: divide by zero encountered in log
return np.log(self.predict_proba(X))
ok
test_sgd_shuffle_param (sklearn.linear_model.tests.test_sgd.SparseSGDClassifierTestCase) ... ok
test_warm_start_constant (sklearn.linear_model.tests.test_sgd.SparseSGDClassifierTestCase) ... ok
test_warm_start_invscaling (sklearn.linear_model.tests.test_sgd.SparseSGDClassifierTestCase) ... ok
test_warm_start_multiclass (sklearn.linear_model.tests.test_sgd.SparseSGDClassifierTestCase) ... ok
test_warm_start_optimal (sklearn.linear_model.tests.test_sgd.SparseSGDClassifierTestCase) ... ok
test_weights_multiplied (sklearn.linear_model.tests.test_sgd.SparseSGDClassifierTestCase) ... ok
test_wrong_class_weight_format (sklearn.linear_model.tests.test_sgd.SparseSGDClassifierTestCase) ... ok
test_wrong_class_weight_label (sklearn.linear_model.tests.test_sgd.SparseSGDClassifierTestCase) ... ok
test_wrong_sample_weights (sklearn.linear_model.tests.test_sgd.SparseSGDClassifierTestCase) ... ok
test_average_sparse (sklearn.linear_model.tests.test_sgd.SparseSGDRegressorTestCase) ... ok
test_clone (sklearn.linear_model.tests.test_sgd.SparseSGDRegressorTestCase) ... ok
test_elasticnet_convergence (sklearn.linear_model.tests.test_sgd.SparseSGDRegressorTestCase) ... ok
test_input_format (sklearn.linear_model.tests.test_sgd.SparseSGDRegressorTestCase) ... ok
test_late_onset_averaging_not_reached (sklearn.linear_model.tests.test_sgd.SparseSGDRegressorTestCase) ... ok
test_late_onset_averaging_reached (sklearn.linear_model.tests.test_sgd.SparseSGDRegressorTestCase) ... ok
test_loss_function_epsilon (sklearn.linear_model.tests.test_sgd.SparseSGDRegressorTestCase) ... ok
test_partial_fit (sklearn.linear_model.tests.test_sgd.SparseSGDRegressorTestCase) ... ok
test_partial_fit_equal_fit_constant (sklearn.linear_model.tests.test_sgd.SparseSGDRegressorTestCase) ... ok
test_partial_fit_equal_fit_invscaling (sklearn.linear_model.tests.test_sgd.SparseSGDRegressorTestCase) ... ok
test_partial_fit_equal_fit_optimal (sklearn.linear_model.tests.test_sgd.SparseSGDRegressorTestCase) ... ok
test_plain_has_no_average_attr (sklearn.linear_model.tests.test_sgd.SparseSGDRegressorTestCase) ... ok
test_sgd (sklearn.linear_model.tests.test_sgd.SparseSGDRegressorTestCase) ... ok
test_sgd_averaged_computed_correctly (sklearn.linear_model.tests.test_sgd.SparseSGDRegressorTestCase) ... ok
test_sgd_averaged_partial_fit (sklearn.linear_model.tests.test_sgd.SparseSGDRegressorTestCase) ... ok
test_sgd_bad_alpha_for_optimal_learning_rate (sklearn.linear_model.tests.test_sgd.SparseSGDRegressorTestCase) ... ok
test_sgd_bad_loss (sklearn.linear_model.tests.test_sgd.SparseSGDRegressorTestCase) ... ok
test_sgd_bad_penalty (sklearn.linear_model.tests.test_sgd.SparseSGDRegressorTestCase) ... ok
test_sgd_epsilon_insensitive (sklearn.linear_model.tests.test_sgd.SparseSGDRegressorTestCase) ... ok
test_sgd_huber_fit (sklearn.linear_model.tests.test_sgd.SparseSGDRegressorTestCase) ... ok
test_sgd_least_squares_fit (sklearn.linear_model.tests.test_sgd.SparseSGDRegressorTestCase) ... ok
test_warm_start_constant (sklearn.linear_model.tests.test_sgd.SparseSGDRegressorTestCase) ... ok
test_warm_start_invscaling (sklearn.linear_model.tests.test_sgd.SparseSGDRegressorTestCase) ... ok
test_warm_start_optimal (sklearn.linear_model.tests.test_sgd.SparseSGDRegressorTestCase) ... ok
sklearn.linear_model.tests.test_sgd.test_tol_and_max_iter_default_values ... ok
sklearn.linear_model.tests.test_sgd.test_l1_ratio ... ok
sklearn.linear_model.tests.test_sgd.test_underflow_or_overlow ... ok
sklearn.linear_model.tests.test_sgd.test_numerical_stability_large_gradient ... ok
sklearn.linear_model.tests.test_sgd.test_large_regularization ... ok
sklearn.linear_model.tests.test_sgd.test_tol_parameter ... ok
sklearn.linear_model.tests.test_sgd.test_future_and_deprecation_warnings ... ok
sklearn.linear_model.tests.test_sgd.test_gradient_hinge ... ok
sklearn.linear_model.tests.test_sgd.test_gradient_squared_hinge ... ok
sklearn.linear_model.tests.test_sgd.test_gradient_log ... ok
sklearn.linear_model.tests.test_sgd.test_gradient_squared_loss ... ok
sklearn.linear_model.tests.test_sgd.test_gradient_huber ... ok
sklearn.linear_model.tests.test_sgd.test_gradient_modified_huber ... ok
sklearn.linear_model.tests.test_sgd.test_gradient_epsilon_insensitive ... ok
sklearn.linear_model.tests.test_sgd.test_gradient_squared_epsilon_insensitive ... ok
sklearn.linear_model.tests.test_sparse_coordinate_descent.test_sparse_coef ... ok
sklearn.linear_model.tests.test_sparse_coordinate_descent.test_normalize_option ... ok
sklearn.linear_model.tests.test_sparse_coordinate_descent.test_lasso_zero ... ok
sklearn.linear_model.tests.test_sparse_coordinate_descent.test_enet_toy_list_input ... ok
sklearn.linear_model.tests.test_sparse_coordinate_descent.test_enet_toy_explicit_sparse_input ... ok
sklearn.linear_model.tests.test_sparse_coordinate_descent.test_sparse_enet_not_as_toy_dataset ... ok
sklearn.linear_model.tests.test_sparse_coordinate_descent.test_sparse_lasso_not_as_toy_dataset ... ok
sklearn.linear_model.tests.test_sparse_coordinate_descent.test_enet_multitarget ... ok
sklearn.linear_model.tests.test_sparse_coordinate_descent.test_path_parameters ... ok
sklearn.linear_model.tests.test_sparse_coordinate_descent.test_same_output_sparse_dense_lasso_and_enet_cv ... ok
sklearn.linear_model.tests.test_sparse_coordinate_descent.test_same_multiple_output_sparse_dense ... ok
sklearn.linear_model.tests.test_theil_sen.test_modweiszfeld_step_1d ... ok
sklearn.linear_model.tests.test_theil_sen.test_modweiszfeld_step_2d ... ok
sklearn.linear_model.tests.test_theil_sen.test_spatial_median_1d ... ok
sklearn.linear_model.tests.test_theil_sen.test_spatial_median_2d ... ok
sklearn.linear_model.tests.test_theil_sen.test_theil_sen_1d ... ok
sklearn.linear_model.tests.test_theil_sen.test_theil_sen_1d_no_intercept ... ok
sklearn.linear_model.tests.test_theil_sen.test_theil_sen_2d ... ok
sklearn.linear_model.tests.test_theil_sen.test_calc_breakdown_point ... ok
sklearn.linear_model.tests.test_theil_sen.test_checksubparams_negative_subpopulation ... ok
sklearn.linear_model.tests.test_theil_sen.test_checksubparams_too_few_subsamples ... ok
sklearn.linear_model.tests.test_theil_sen.test_checksubparams_too_many_subsamples ... ok
sklearn.linear_model.tests.test_theil_sen.test_checksubparams_n_subsamples_if_less_samples_than_features ... ok
sklearn.linear_model.tests.test_theil_sen.test_subpopulation ... ok
sklearn.linear_model.tests.test_theil_sen.test_subsamples ... ok
sklearn.linear_model.tests.test_theil_sen.test_verbosity ... ok
sklearn.linear_model.tests.test_theil_sen.test_theil_sen_parallel ... ok
sklearn.linear_model.tests.test_theil_sen.test_less_samples_than_features ... ok
sklearn.manifold.tests.test_isomap.test_isomap_simple_grid ... ok
sklearn.manifold.tests.test_isomap.test_isomap_reconstruction_error ... ok
sklearn.manifold.tests.test_isomap.test_transform ... ok
sklearn.manifold.tests.test_isomap.test_pipeline ... ok
sklearn.manifold.tests.test_isomap.test_isomap_clone_bug ... ok
sklearn.manifold.tests.test_locally_linear.test_barycenter_kneighbors_graph ... ok
sklearn.manifold.tests.test_locally_linear.test_lle_simple_grid ... ok
sklearn.manifold.tests.test_locally_linear.test_lle_manifold ... ok
sklearn.manifold.tests.test_locally_linear.test_lle_init_parameters ... ok
sklearn.manifold.tests.test_locally_linear.test_pipeline ... ok
sklearn.manifold.tests.test_locally_linear.test_singular_matrix ... ok
sklearn.manifold.tests.test_locally_linear.test_integer_input ... ok
sklearn.manifold.tests.test_mds.test_smacof ... ok
sklearn.manifold.tests.test_mds.test_smacof_error ... ok
sklearn.manifold.tests.test_mds.test_MDS ... ok
sklearn.manifold.tests.test_spectral_embedding.test_sparse_graph_connected_component ... ok
sklearn.manifold.tests.test_spectral_embedding.test_spectral_embedding_two_components ... ok
sklearn.manifold.tests.test_spectral_embedding.test_spectral_embedding_precomputed_affinity ... ok
sklearn.manifold.tests.test_spectral_embedding.test_spectral_embedding_callable_affinity ... ok
sklearn.manifold.tests.test_spectral_embedding.test_spectral_embedding_amg_solver ... SKIP: pyamg not available.
sklearn.manifold.tests.test_spectral_embedding.test_pipeline_spectral_clustering ... ok
sklearn.manifold.tests.test_spectral_embedding.test_spectral_embedding_unknown_eigensolver ... ok
sklearn.manifold.tests.test_spectral_embedding.test_spectral_embedding_unknown_affinity ... ok
sklearn.manifold.tests.test_spectral_embedding.test_connectivity ... ok
sklearn.manifold.tests.test_spectral_embedding.test_spectral_embedding_deterministic ... ok
sklearn.manifold.tests.test_spectral_embedding.test_spectral_embedding_unnormalized ... ok
sklearn.manifold.tests.test_t_sne.test_gradient_descent_stops ... ok
sklearn.manifold.tests.test_t_sne.test_binary_search ... ok
sklearn.manifold.tests.test_t_sne.test_binary_search_neighbors ... ok
sklearn.manifold.tests.test_t_sne.test_binary_perplexity_stability ... ok
sklearn.manifold.tests.test_t_sne.test_gradient ... ok
sklearn.manifold.tests.test_t_sne.test_trustworthiness ... ok
sklearn.manifold.tests.test_t_sne.test_preserve_trustworthiness_approximately ... ok
t-SNE should give a lower KL divergence with more iterations. ... ok
sklearn.manifold.tests.test_t_sne.test_fit_csr_matrix ... ok
sklearn.manifold.tests.test_t_sne.test_preserve_trustworthiness_approximately_with_precomputed_distances ... ok
sklearn.manifold.tests.test_t_sne.test_early_exaggeration_too_small ... ok
sklearn.manifold.tests.test_t_sne.test_too_few_iterations ... ok
sklearn.manifold.tests.test_t_sne.test_non_square_precomputed_distances ... ok
sklearn.manifold.tests.test_t_sne.test_non_positive_precomputed_distances ... ok
sklearn.manifold.tests.test_t_sne.test_non_positive_computed_distances ... ok
sklearn.manifold.tests.test_t_sne.test_init_not_available ... ok
sklearn.manifold.tests.test_t_sne.test_init_ndarray ... ok
sklearn.manifold.tests.test_t_sne.test_init_ndarray_precomputed ... ok
sklearn.manifold.tests.test_t_sne.test_distance_not_available ... ok
sklearn.manifold.tests.test_t_sne.test_method_not_available ... ok
sklearn.manifold.tests.test_t_sne.test_angle_out_of_range_checks ... ok
sklearn.manifold.tests.test_t_sne.test_pca_initialization_not_compatible_with_precomputed_kernel ... ok
sklearn.manifold.tests.test_t_sne.test_n_components_range ... ok
sklearn.manifold.tests.test_t_sne.test_early_exaggeration_used ... ok
sklearn.manifold.tests.test_t_sne.test_n_iter_used ... ok
sklearn.manifold.tests.test_t_sne.test_answer_gradient_two_points ... ok
sklearn.manifold.tests.test_t_sne.test_answer_gradient_four_points ... ok
sklearn.manifold.tests.test_t_sne.test_skip_num_points_gradient ... ok
sklearn.manifold.tests.test_t_sne.test_verbose ... ok
sklearn.manifold.tests.test_t_sne.test_chebyshev_metric ... ok
sklearn.manifold.tests.test_t_sne.test_reduction_to_one_component ... ok
sklearn.manifold.tests.test_t_sne.test_no_sparse_on_barnes_hut ... ok
sklearn.manifold.tests.test_t_sne.test_64bit ... ok
sklearn.manifold.tests.test_t_sne.test_barnes_hut_angle ... ok
sklearn.manifold.tests.test_t_sne.test_min_grad_norm ... ok
sklearn.manifold.tests.test_t_sne.test_n_iter_without_progress ... SKIP: Test skipped on 32bit platforms.
sklearn.manifold.tests.test_t_sne.test_accessible_kl_divergence ... ok
sklearn.manifold.tests.test_t_sne.test_uniform_grid('barnes_hut',) ... ok
sklearn.manifold.tests.test_t_sne.test_uniform_grid('exact',) ... ok
sklearn.manifold.tests.test_t_sne.test_bh_match_exact ... ok
Make sure that TSNE works for different distance metrics ... ok
sklearn.metrics.cluster.tests.test_bicluster.test_jaccard ... ok
sklearn.metrics.cluster.tests.test_bicluster.test_consensus_score ... ok
Different number of biclusters in A and B ... ok
sklearn.metrics.cluster.tests.test_supervised.test_error_messages_on_wrong_input ... ok
sklearn.metrics.cluster.tests.test_supervised.test_perfect_matches ... ok
sklearn.metrics.cluster.tests.test_supervised.test_homogeneous_but_not_complete_labeling ... ok
sklearn.metrics.cluster.tests.test_supervised.test_complete_but_not_homogeneous_labeling ... ok
sklearn.metrics.cluster.tests.test_supervised.test_not_complete_and_not_homogeneous_labeling ... ok
sklearn.metrics.cluster.tests.test_supervised.test_non_consicutive_labels ... ok
sklearn.metrics.cluster.tests.test_supervised.test_adjustment_for_chance ... ok
sklearn.metrics.cluster.tests.test_supervised.test_adjusted_mutual_info_score ... ok
sklearn.metrics.cluster.tests.test_supervised.test_expected_mutual_info_overflow ... ok
sklearn.metrics.cluster.tests.test_supervised.test_entropy ... ok
sklearn.metrics.cluster.tests.test_supervised.test_contingency_matrix ... ok
sklearn.metrics.cluster.tests.test_supervised.test_contingency_matrix_sparse ... ok
sklearn.metrics.cluster.tests.test_supervised.test_exactly_zero_info_score ... ok
sklearn.metrics.cluster.tests.test_supervised.test_v_measure_and_mutual_information ... ok
sklearn.metrics.cluster.tests.test_supervised.test_fowlkes_mallows_score ... ok
sklearn.metrics.cluster.tests.test_supervised.test_fowlkes_mallows_score_properties ... ok
sklearn.metrics.cluster.tests.test_unsupervised.test_silhouette ... ok
sklearn.metrics.cluster.tests.test_unsupervised.test_cluster_size_1 ... ok
sklearn.metrics.cluster.tests.test_unsupervised.test_correct_labelsize ... ok
sklearn.metrics.cluster.tests.test_unsupervised.test_non_encoded_labels ... ok
sklearn.metrics.cluster.tests.test_unsupervised.test_non_numpy_labels ... ok
sklearn.metrics.cluster.tests.test_unsupervised.test_calinski_harabaz_score ... ok
sklearn.metrics.tests.test_classification.test_multilabel_accuracy_score_subset_accuracy ... ok
sklearn.metrics.tests.test_classification.test_precision_recall_f1_score_binary ... ok
sklearn.metrics.tests.test_classification.test_precision_recall_f_binary_single_class ... ok
sklearn.metrics.tests.test_classification.test_average_precision_score_score_non_binary_class ... ok
sklearn.metrics.tests.test_classification.test_average_precision_score_duplicate_values ... ok
sklearn.metrics.tests.test_classification.test_average_precision_score_tied_values ... ok
sklearn.metrics.tests.test_classification.test_precision_recall_f_unused_pos_label ... ok
sklearn.metrics.tests.test_classification.test_matthews_corrcoef_nan ... ok
sklearn.metrics.tests.test_classification.test_precision_recall_f1_score_multilabel_1 ... ok
sklearn.metrics.tests.test_classification.test_precision_recall_f1_score_multilabel_2 ... ok
sklearn.metrics.tests.test_classification.test_precision_recall_f1_score_with_an_empty_prediction ... ok
sklearn.metrics.tests.test_classification.test_precision_recall_f_extra_labels ... ok
sklearn.metrics.tests.test_classification.test_precision_recall_f_ignored_labels ... ok
sklearn.metrics.tests.test_classification.test_precision_recall_fscore_support_errors ... ok
sklearn.metrics.tests.test_classification.test_confusion_matrix_binary ... ok
sklearn.metrics.tests.test_classification.test_cohen_kappa ... ok
sklearn.metrics.tests.test_classification.test_matthews_corrcoef_against_numpy_corrcoef ... ok
sklearn.metrics.tests.test_classification.test_matthews_corrcoef_against_jurman ... ok
sklearn.metrics.tests.test_classification.test_matthews_corrcoef ... ok
sklearn.metrics.tests.test_classification.test_matthews_corrcoef_multiclass ... ok
sklearn.metrics.tests.test_classification.test_matthews_corrcoef_overflow ... ok
sklearn.metrics.tests.test_classification.test_precision_recall_f1_score_multiclass ... ok
sklearn.metrics.tests.test_classification.test_precision_refcall_f1_score_multilabel_unordered_labels ... ok
sklearn.metrics.tests.test_classification.test_precision_recall_f1_score_binary_averaged ... ok
sklearn.metrics.tests.test_classification.test_zero_precision_recall ... ok
sklearn.metrics.tests.test_classification.test_confusion_matrix_multiclass ... ok
Test confusion matrix - case with sample_weight ... ok
sklearn.metrics.tests.test_classification.test_confusion_matrix_multiclass_subset_labels ... ok
sklearn.metrics.tests.test_classification.test_confusion_matrix_dtype ... ok
sklearn.metrics.tests.test_classification.test_classification_report_multiclass ... ok
sklearn.metrics.tests.test_classification.test_classification_report_multiclass_with_digits ... ok
sklearn.metrics.tests.test_classification.test_classification_report_multiclass_with_string_label ... ok
sklearn.metrics.tests.test_classification.test_classification_report_multiclass_with_unicode_label ... ok
sklearn.metrics.tests.test_classification.test_classification_report_multiclass_with_long_string_label ... ok
sklearn.metrics.tests.test_classification.test_classification_report_labels_target_names_unequal_length ... ok
sklearn.metrics.tests.test_classification.test_multilabel_classification_report ... ok
sklearn.metrics.tests.test_classification.test_multilabel_zero_one_loss_subset ... ok
sklearn.metrics.tests.test_classification.test_multilabel_hamming_loss ... ok
sklearn.metrics.tests.test_classification.test_multilabel_jaccard_similarity_score ... ok
sklearn.metrics.tests.test_classification.test_precision_recall_f1_no_labels ... ok
sklearn.metrics.tests.test_classification.test_prf_warnings ... ok
sklearn.metrics.tests.test_classification.test_recall_warnings ... ok
sklearn.metrics.tests.test_classification.test_precision_warnings ... ok
sklearn.metrics.tests.test_classification.test_fscore_warnings ... ok
sklearn.metrics.tests.test_classification.test_prf_average_binary_data_non_binary ... ok
sklearn.metrics.tests.test_classification.test__check_targets ... ok
sklearn.metrics.tests.test_classification.test__check_targets_multiclass_with_both_y_true_and_y_pred_binary ... ok
sklearn.metrics.tests.test_classification.test_hinge_loss_binary ... ok
sklearn.metrics.tests.test_classification.test_hinge_loss_multiclass ... ok
sklearn.metrics.tests.test_classification.test_hinge_loss_multiclass_missing_labels_with_labels_none ... ok
sklearn.metrics.tests.test_classification.test_hinge_loss_multiclass_with_missing_labels ... ok
sklearn.metrics.tests.test_classification.test_hinge_loss_multiclass_invariance_lists ... ok
sklearn.metrics.tests.test_classification.test_log_loss ... ok
sklearn.metrics.tests.test_classification.test_log_loss_pandas_input ... ok
sklearn.metrics.tests.test_classification.test_brier_score_loss ... ok
sklearn.metrics.tests.test_common.test_format_invariance_with_1d_vectors ... ok
sklearn.metrics.tests.test_common.test_invariance_string_vs_numbers_labels ... ok
sklearn.metrics.tests.test_common.test_multilabel_representation_invariance ... ok
sklearn.metrics.tests.test_common.test_no_averaging_labels ... ok
sklearn.metrics.tests.test_common.test_sample_order_invariance ... ok
sklearn.metrics.tests.test_common.test_sample_order_invariance_multilabel_and_multioutput ... ok
sklearn.metrics.tests.test_common.test_symmetry ... ok
sklearn.metrics.tests.test_common.test_inf_nan_input ... ok
sklearn.metrics.tests.test_common.test_single_sample('accuracy_score',) ... ok
sklearn.metrics.tests.test_common.test_single_sample('unnormalized_accuracy_score',) ... ok
sklearn.metrics.tests.test_common.test_single_sample('confusion_matrix',) ... ok
sklearn.metrics.tests.test_common.test_single_sample('hamming_loss',) ... ok
sklearn.metrics.tests.test_common.test_single_sample('jaccard_similarity_score',) ... ok
sklearn.metrics.tests.test_common.test_single_sample('unnormalized_jaccard_similarity_score',) ... ok
sklearn.metrics.tests.test_common.test_single_sample('zero_one_loss',) ... ok
sklearn.metrics.tests.test_common.test_single_sample('unnormalized_zero_one_loss',) ... ok
sklearn.metrics.tests.test_common.test_single_sample('matthews_corrcoef_score',) ... ok
sklearn.metrics.tests.test_common.test_single_sample('weighted_f0.5_score',) ... ok
sklearn.metrics.tests.test_common.test_single_sample('weighted_f1_score',) ... ok
sklearn.metrics.tests.test_common.test_single_sample('weighted_f2_score',) ... ok
sklearn.metrics.tests.test_common.test_single_sample('weighted_precision_score',) ... ok
sklearn.metrics.tests.test_common.test_single_sample('weighted_recall_score',) ... ok
sklearn.metrics.tests.test_common.test_single_sample('micro_f0.5_score',) ... ok
sklearn.metrics.tests.test_common.test_single_sample('micro_f1_score',) ... ok
sklearn.metrics.tests.test_common.test_single_sample('micro_f2_score',) ... ok
sklearn.metrics.tests.test_common.test_single_sample('micro_precision_score',) ... ok
sklearn.metrics.tests.test_common.test_single_sample('micro_recall_score',) ... ok
sklearn.metrics.tests.test_common.test_single_sample('macro_f0.5_score',) ... ok
sklearn.metrics.tests.test_common.test_single_sample('macro_f1_score',) ... ok
sklearn.metrics.tests.test_common.test_single_sample('macro_f2_score',) ... ok
sklearn.metrics.tests.test_common.test_single_sample('macro_precision_score',) ... ok
sklearn.metrics.tests.test_common.test_single_sample('macro_recall_score',) ... ok
sklearn.metrics.tests.test_common.test_single_sample('cohen_kappa_score',) ... ok
sklearn.metrics.tests.test_common.test_single_sample('mean_absolute_error',) ... ok
sklearn.metrics.tests.test_common.test_single_sample('mean_squared_error',) ... ok
sklearn.metrics.tests.test_common.test_single_sample('median_absolute_error',) ... ok
sklearn.metrics.tests.test_common.test_single_sample('explained_variance_score',) ... ok
sklearn.metrics.tests.test_common.test_single_sample('r2_score',) ... ok
sklearn.metrics.tests.test_common.test_single_sample('mean_absolute_error',) ... ok
sklearn.metrics.tests.test_common.test_single_sample('mean_squared_error',) ... ok
sklearn.metrics.tests.test_common.test_single_sample('r2_score',) ... ok
sklearn.metrics.tests.test_common.test_single_sample('explained_variance_score',) ... ok
sklearn.metrics.tests.test_common.test_single_sample('accuracy_score',) ... ok
sklearn.metrics.tests.test_common.test_single_sample('unnormalized_accuracy_score',) ... ok
sklearn.metrics.tests.test_common.test_single_sample('hamming_loss',) ... ok
sklearn.metrics.tests.test_common.test_single_sample('jaccard_similarity_score',) ... ok
sklearn.metrics.tests.test_common.test_single_sample('unnormalized_jaccard_similarity_score',) ... ok
sklearn.metrics.tests.test_common.test_single_sample('zero_one_loss',) ... ok
sklearn.metrics.tests.test_common.test_single_sample('unnormalized_zero_one_loss',) ... ok
sklearn.metrics.tests.test_common.test_single_sample('weighted_f0.5_score',) ... ok
sklearn.metrics.tests.test_common.test_single_sample('weighted_f1_score',) ... ok
sklearn.metrics.tests.test_common.test_single_sample('weighted_f2_score',) ... ok
sklearn.metrics.tests.test_common.test_single_sample('weighted_precision_score',) ... ok
sklearn.metrics.tests.test_common.test_single_sample('weighted_recall_score',) ... ok
sklearn.metrics.tests.test_common.test_single_sample('macro_f0.5_score',) ... ok
sklearn.metrics.tests.test_common.test_single_sample('macro_f1_score',) ... ok
sklearn.metrics.tests.test_common.test_single_sample('macro_f2_score',) ... ok
sklearn.metrics.tests.test_common.test_single_sample('macro_precision_score',) ... ok
sklearn.metrics.tests.test_common.test_single_sample('macro_recall_score',) ... ok
sklearn.metrics.tests.test_common.test_single_sample('micro_f0.5_score',) ... ok
sklearn.metrics.tests.test_common.test_single_sample('micro_f1_score',) ... ok
sklearn.metrics.tests.test_common.test_single_sample('micro_f2_score',) ... ok
sklearn.metrics.tests.test_common.test_single_sample('micro_precision_score',) ... ok
sklearn.metrics.tests.test_common.test_single_sample('micro_recall_score',) ... ok
sklearn.metrics.tests.test_common.test_single_sample('samples_f0.5_score',) ... ok
sklearn.metrics.tests.test_common.test_single_sample('samples_f1_score',) ... ok
sklearn.metrics.tests.test_common.test_single_sample('samples_f2_score',) ... ok
sklearn.metrics.tests.test_common.test_single_sample('samples_precision_score',) ... ok
sklearn.metrics.tests.test_common.test_single_sample('samples_recall_score',) ... ok
sklearn.metrics.tests.test_common.test_multioutput_number_of_output_differ ... ok
sklearn.metrics.tests.test_common.test_multioutput_regression_invariance_to_dimension_shuffling ... ok
sklearn.metrics.tests.test_common.test_raise_value_error_multilabel_sequences ... ok
sklearn.metrics.tests.test_common.test_normalize_option_binary_classification ... ok
sklearn.metrics.tests.test_common.test_normalize_option_multiclass_classification ... ok
sklearn.metrics.tests.test_common.test_normalize_option_multilabel_classification ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/metrics/tests/test_common.py.test_averaging_multiclass:check_averaging(precision_score) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/metrics/tests/test_common.py.test_averaging_multiclass:check_averaging(recall_score) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/metrics/tests/test_common.py.test_averaging_multiclass:check_averaging(f1_score) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/metrics/tests/test_common.py.test_averaging_multiclass:check_averaging(f2_score) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/metrics/tests/test_common.py.test_averaging_multiclass:check_averaging(f0.5_score) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/metrics/tests/test_common.py.test_averaging_multilabel:check_averaging(precision_score) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/metrics/tests/test_common.py.test_averaging_multilabel:check_averaging(recall_score) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/metrics/tests/test_common.py.test_averaging_multilabel:check_averaging(f1_score) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/metrics/tests/test_common.py.test_averaging_multilabel:check_averaging(f2_score) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/metrics/tests/test_common.py.test_averaging_multilabel:check_averaging(f0.5_score) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/metrics/tests/test_common.py.test_averaging_multilabel:check_averaging(roc_auc_score) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/metrics/tests/test_common.py.test_averaging_multilabel:check_averaging(average_precision_score) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/metrics/tests/test_common.py.test_averaging_multilabel_all_zeroes:check_averaging(precision_score) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/metrics/tests/test_common.py.test_averaging_multilabel_all_zeroes:check_averaging(recall_score) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/metrics/tests/test_common.py.test_averaging_multilabel_all_zeroes:check_averaging(f1_score) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/metrics/tests/test_common.py.test_averaging_multilabel_all_zeroes:check_averaging(f2_score) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/metrics/tests/test_common.py.test_averaging_multilabel_all_zeroes:check_averaging(f0.5_score) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/metrics/tests/test_common.py.test_averaging_multilabel_all_ones:check_averaging(precision_score) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/metrics/tests/test_common.py.test_averaging_multilabel_all_ones:check_averaging(recall_score) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/metrics/tests/test_common.py.test_averaging_multilabel_all_ones:check_averaging(f1_score) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/metrics/tests/test_common.py.test_averaging_multilabel_all_ones:check_averaging(f2_score) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/metrics/tests/test_common.py.test_averaging_multilabel_all_ones:check_averaging(f0.5_score) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/metrics/tests/test_common.py.test_sample_weight_invariance:check_sample_weight_invariance(mean_absolute_error) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/metrics/tests/test_common.py.test_sample_weight_invariance:check_sample_weight_invariance(mean_squared_error) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/metrics/tests/test_common.py.test_sample_weight_invariance:check_sample_weight_invariance(explained_variance_score) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/metrics/tests/test_common.py.test_sample_weight_invariance:check_sample_weight_invariance(r2_score) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/metrics/tests/test_common.py.test_sample_weight_invariance:check_sample_weight_invariance(log_loss) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/metrics/tests/test_common.py.test_sample_weight_invariance:check_sample_weight_invariance(unnormalized_log_loss) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/metrics/tests/test_common.py.test_sample_weight_invariance:check_sample_weight_invariance(hinge_loss) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/metrics/tests/test_common.py.test_sample_weight_invariance:check_sample_weight_invariance(brier_score_loss) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/metrics/tests/test_common.py.test_sample_weight_invariance:check_sample_weight_invariance(accuracy_score) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/metrics/tests/test_common.py.test_sample_weight_invariance:check_sample_weight_invariance(unnormalized_accuracy_score) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/metrics/tests/test_common.py.test_sample_weight_invariance:check_sample_weight_invariance(hamming_loss) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/metrics/tests/test_common.py.test_sample_weight_invariance:check_sample_weight_invariance(jaccard_similarity_score) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/metrics/tests/test_common.py.test_sample_weight_invariance:check_sample_weight_invariance(unnormalized_jaccard_similarity_score) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/metrics/tests/test_common.py.test_sample_weight_invariance:check_sample_weight_invariance(zero_one_loss) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/metrics/tests/test_common.py.test_sample_weight_invariance:check_sample_weight_invariance(unnormalized_zero_one_loss) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/metrics/tests/test_common.py.test_sample_weight_invariance:check_sample_weight_invariance(precision_score) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/metrics/tests/test_common.py.test_sample_weight_invariance:check_sample_weight_invariance(recall_score) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/metrics/tests/test_common.py.test_sample_weight_invariance:check_sample_weight_invariance(f1_score) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/metrics/tests/test_common.py.test_sample_weight_invariance:check_sample_weight_invariance(f2_score) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/metrics/tests/test_common.py.test_sample_weight_invariance:check_sample_weight_invariance(f0.5_score) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/metrics/tests/test_common.py.test_sample_weight_invariance:check_sample_weight_invariance(matthews_corrcoef_score) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/metrics/tests/test_common.py.test_sample_weight_invariance:check_sample_weight_invariance(weighted_f0.5_score) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/metrics/tests/test_common.py.test_sample_weight_invariance:check_sample_weight_invariance(weighted_f1_score) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/metrics/tests/test_common.py.test_sample_weight_invariance:check_sample_weight_invariance(weighted_f2_score) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/metrics/tests/test_common.py.test_sample_weight_invariance:check_sample_weight_invariance(weighted_precision_score) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/metrics/tests/test_common.py.test_sample_weight_invariance:check_sample_weight_invariance(weighted_recall_score) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/metrics/tests/test_common.py.test_sample_weight_invariance:check_sample_weight_invariance(micro_f0.5_score) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/metrics/tests/test_common.py.test_sample_weight_invariance:check_sample_weight_invariance(micro_f1_score) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/metrics/tests/test_common.py.test_sample_weight_invariance:check_sample_weight_invariance(micro_f2_score) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/metrics/tests/test_common.py.test_sample_weight_invariance:check_sample_weight_invariance(micro_precision_score) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/metrics/tests/test_common.py.test_sample_weight_invariance:check_sample_weight_invariance(micro_recall_score) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/metrics/tests/test_common.py.test_sample_weight_invariance:check_sample_weight_invariance(macro_f0.5_score) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/metrics/tests/test_common.py.test_sample_weight_invariance:check_sample_weight_invariance(macro_f1_score) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/metrics/tests/test_common.py.test_sample_weight_invariance:check_sample_weight_invariance(macro_f2_score) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/metrics/tests/test_common.py.test_sample_weight_invariance:check_sample_weight_invariance(macro_precision_score) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/metrics/tests/test_common.py.test_sample_weight_invariance:check_sample_weight_invariance(macro_recall_score) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/metrics/tests/test_common.py.test_sample_weight_invariance:check_sample_weight_invariance(cohen_kappa_score) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/metrics/tests/test_common.py.test_sample_weight_invariance:check_sample_weight_invariance(log_loss) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/metrics/tests/test_common.py.test_sample_weight_invariance:check_sample_weight_invariance(unnormalized_log_loss) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/metrics/tests/test_common.py.test_sample_weight_invariance:check_sample_weight_invariance(hinge_loss) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/metrics/tests/test_common.py.test_sample_weight_invariance:check_sample_weight_invariance(accuracy_score) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/metrics/tests/test_common.py.test_sample_weight_invariance:check_sample_weight_invariance(unnormalized_accuracy_score) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/metrics/tests/test_common.py.test_sample_weight_invariance:check_sample_weight_invariance(hamming_loss) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/metrics/tests/test_common.py.test_sample_weight_invariance:check_sample_weight_invariance(jaccard_similarity_score) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/metrics/tests/test_common.py.test_sample_weight_invariance:check_sample_weight_invariance(unnormalized_jaccard_similarity_score) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/metrics/tests/test_common.py.test_sample_weight_invariance:check_sample_weight_invariance(zero_one_loss) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/metrics/tests/test_common.py.test_sample_weight_invariance:check_sample_weight_invariance(unnormalized_zero_one_loss) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/metrics/tests/test_common.py.test_sample_weight_invariance:check_sample_weight_invariance(matthews_corrcoef_score) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/metrics/tests/test_common.py.test_sample_weight_invariance:check_sample_weight_invariance(weighted_f0.5_score) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/metrics/tests/test_common.py.test_sample_weight_invariance:check_sample_weight_invariance(weighted_f1_score) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/metrics/tests/test_common.py.test_sample_weight_invariance:check_sample_weight_invariance(weighted_f2_score) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/metrics/tests/test_common.py.test_sample_weight_invariance:check_sample_weight_invariance(weighted_precision_score) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/metrics/tests/test_common.py.test_sample_weight_invariance:check_sample_weight_invariance(weighted_recall_score) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/metrics/tests/test_common.py.test_sample_weight_invariance:check_sample_weight_invariance(micro_f0.5_score) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/metrics/tests/test_common.py.test_sample_weight_invariance:check_sample_weight_invariance(micro_f1_score) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/metrics/tests/test_common.py.test_sample_weight_invariance:check_sample_weight_invariance(micro_f2_score) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/metrics/tests/test_common.py.test_sample_weight_invariance:check_sample_weight_invariance(micro_precision_score) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/metrics/tests/test_common.py.test_sample_weight_invariance:check_sample_weight_invariance(micro_recall_score) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/metrics/tests/test_common.py.test_sample_weight_invariance:check_sample_weight_invariance(macro_f0.5_score) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/metrics/tests/test_common.py.test_sample_weight_invariance:check_sample_weight_invariance(macro_f1_score) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/metrics/tests/test_common.py.test_sample_weight_invariance:check_sample_weight_invariance(macro_f2_score) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/metrics/tests/test_common.py.test_sample_weight_invariance:check_sample_weight_invariance(macro_precision_score) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/metrics/tests/test_common.py.test_sample_weight_invariance:check_sample_weight_invariance(macro_recall_score) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/metrics/tests/test_common.py.test_sample_weight_invariance:check_sample_weight_invariance(cohen_kappa_score) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/metrics/tests/test_common.py.test_sample_weight_invariance:check_sample_weight_invariance(accuracy_score) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/metrics/tests/test_common.py.test_sample_weight_invariance:check_sample_weight_invariance(unnormalized_accuracy_score) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/metrics/tests/test_common.py.test_sample_weight_invariance:check_sample_weight_invariance(hamming_loss) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/metrics/tests/test_common.py.test_sample_weight_invariance:check_sample_weight_invariance(jaccard_similarity_score) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/metrics/tests/test_common.py.test_sample_weight_invariance:check_sample_weight_invariance(unnormalized_jaccard_similarity_score) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/metrics/tests/test_common.py.test_sample_weight_invariance:check_sample_weight_invariance(zero_one_loss) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/metrics/tests/test_common.py.test_sample_weight_invariance:check_sample_weight_invariance(unnormalized_zero_one_loss) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/metrics/tests/test_common.py.test_sample_weight_invariance:check_sample_weight_invariance(weighted_f0.5_score) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/metrics/tests/test_common.py.test_sample_weight_invariance:check_sample_weight_invariance(weighted_f1_score) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/metrics/tests/test_common.py.test_sample_weight_invariance:check_sample_weight_invariance(weighted_f2_score) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/metrics/tests/test_common.py.test_sample_weight_invariance:check_sample_weight_invariance(weighted_precision_score) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/metrics/tests/test_common.py.test_sample_weight_invariance:check_sample_weight_invariance(weighted_recall_score) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/metrics/tests/test_common.py.test_sample_weight_invariance:check_sample_weight_invariance(macro_f0.5_score) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/metrics/tests/test_common.py.test_sample_weight_invariance:check_sample_weight_invariance(macro_f1_score) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/metrics/tests/test_common.py.test_sample_weight_invariance:check_sample_weight_invariance(macro_f2_score) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/metrics/tests/test_common.py.test_sample_weight_invariance:check_sample_weight_invariance(macro_precision_score) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/metrics/tests/test_common.py.test_sample_weight_invariance:check_sample_weight_invariance(macro_recall_score) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/metrics/tests/test_common.py.test_sample_weight_invariance:check_sample_weight_invariance(micro_f0.5_score) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/metrics/tests/test_common.py.test_sample_weight_invariance:check_sample_weight_invariance(micro_f1_score) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/metrics/tests/test_common.py.test_sample_weight_invariance:check_sample_weight_invariance(micro_f2_score) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/metrics/tests/test_common.py.test_sample_weight_invariance:check_sample_weight_invariance(micro_precision_score) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/metrics/tests/test_common.py.test_sample_weight_invariance:check_sample_weight_invariance(micro_recall_score) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/metrics/tests/test_common.py.test_sample_weight_invariance:check_sample_weight_invariance(samples_f0.5_score) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/metrics/tests/test_common.py.test_sample_weight_invariance:check_sample_weight_invariance(samples_f1_score) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/metrics/tests/test_common.py.test_sample_weight_invariance:check_sample_weight_invariance(samples_f2_score) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/metrics/tests/test_common.py.test_sample_weight_invariance:check_sample_weight_invariance(samples_precision_score) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/metrics/tests/test_common.py.test_sample_weight_invariance:check_sample_weight_invariance(samples_recall_score) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/metrics/tests/test_common.py.test_sample_weight_invariance:check_sample_weight_invariance(log_loss) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/metrics/tests/test_common.py.test_sample_weight_invariance:check_sample_weight_invariance(unnormalized_log_loss) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/metrics/tests/test_common.py.test_sample_weight_invariance:check_sample_weight_invariance(roc_auc_score) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/metrics/tests/test_common.py.test_sample_weight_invariance:check_sample_weight_invariance(weighted_roc_auc) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/metrics/tests/test_common.py.test_sample_weight_invariance:check_sample_weight_invariance(samples_roc_auc) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/metrics/tests/test_common.py.test_sample_weight_invariance:check_sample_weight_invariance(micro_roc_auc) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/metrics/tests/test_common.py.test_sample_weight_invariance:check_sample_weight_invariance(macro_roc_auc) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/metrics/tests/test_common.py.test_sample_weight_invariance:check_sample_weight_invariance(average_precision_score) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/metrics/tests/test_common.py.test_sample_weight_invariance:check_sample_weight_invariance(weighted_average_precision_score) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/metrics/tests/test_common.py.test_sample_weight_invariance:check_sample_weight_invariance(samples_average_precision_score) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/metrics/tests/test_common.py.test_sample_weight_invariance:check_sample_weight_invariance(micro_average_precision_score) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/metrics/tests/test_common.py.test_sample_weight_invariance:check_sample_weight_invariance(macro_average_precision_score) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/metrics/tests/test_common.py.test_sample_weight_invariance:check_sample_weight_invariance(coverage_error) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/metrics/tests/test_common.py.test_sample_weight_invariance:check_sample_weight_invariance(label_ranking_loss) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/metrics/tests/test_common.py.test_sample_weight_invariance:check_sample_weight_invariance(mean_absolute_error) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/metrics/tests/test_common.py.test_sample_weight_invariance:check_sample_weight_invariance(mean_squared_error) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/metrics/tests/test_common.py.test_sample_weight_invariance:check_sample_weight_invariance(r2_score) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/metrics/tests/test_common.py.test_sample_weight_invariance:check_sample_weight_invariance(explained_variance_score) ... ok
sklearn.metrics.tests.test_pairwise.test_pairwise_distances ... ok
sklearn.metrics.tests.test_pairwise.test_pairwise_precomputed ... ok
sklearn.metrics.tests.test_pairwise.test_pairwise_parallel(<function pairwise_distances at 0xf3b16f18>, 'euclidean', {}) ... ok
sklearn.metrics.tests.test_pairwise.test_pairwise_parallel(<function pairwise_distances at 0xf3b16f18>, <function wminkowski at 0xf446bf60>, {'w': array([1., 2., 3., 4.]), 'p': 1}) ... ok
sklearn.metrics.tests.test_pairwise.test_pairwise_parallel(<function pairwise_distances at 0xf3b16f18>, 'wminkowski', {'w': array([1., 2., 3., 4.]), 'p': 1}) ... ok
sklearn.metrics.tests.test_pairwise.test_pairwise_parallel(<function pairwise_kernels at 0xf3b16fa8>, 'polynomial', {'degree': 1}) ... ok
sklearn.metrics.tests.test_pairwise.test_pairwise_parallel(<function pairwise_kernels at 0xf3b16fa8>, <function callable_rbf_kernel at 0xf29df810>, {'gamma': 0.1}) ... ok
sklearn.metrics.tests.test_pairwise.test_pairwise_callable_nonstrict_metric ... ok
sklearn.metrics.tests.test_pairwise.test_pairwise_kernels ... ok
sklearn.metrics.tests.test_pairwise.test_pairwise_kernels_filter_param ... ok
sklearn.metrics.tests.test_pairwise.test_paired_distances ... ok
sklearn.metrics.tests.test_pairwise.test_pairwise_boolean_distance ... ok
sklearn.metrics.tests.test_pairwise.test_pairwise_distances_argmin_min ... ok
sklearn.metrics.tests.test_pairwise.test_euclidean_distances ... ok
sklearn.metrics.tests.test_pairwise.test_cosine_distances ... ok
sklearn.metrics.tests.test_pairwise.test_paired_euclidean_distances ... ok
sklearn.metrics.tests.test_pairwise.test_paired_manhattan_distances ... ok
sklearn.metrics.tests.test_pairwise.test_chi_square_kernel ... ok
sklearn.metrics.tests.test_pairwise.test_kernel_symmetry ... ok
sklearn.metrics.tests.test_pairwise.test_kernel_sparse ... ok
sklearn.metrics.tests.test_pairwise.test_linear_kernel ... ok
sklearn.metrics.tests.test_pairwise.test_rbf_kernel ... ok
sklearn.metrics.tests.test_pairwise.test_laplacian_kernel ... ok
sklearn.metrics.tests.test_pairwise.test_cosine_similarity_sparse_output ... ok
sklearn.metrics.tests.test_pairwise.test_cosine_similarity ... ok
sklearn.metrics.tests.test_pairwise.test_check_dense_matrices ... ok
sklearn.metrics.tests.test_pairwise.test_check_XB_returned ... ok
sklearn.metrics.tests.test_pairwise.test_check_different_dimensions ... ok
sklearn.metrics.tests.test_pairwise.test_check_invalid_dimensions ... ok
sklearn.metrics.tests.test_pairwise.test_check_sparse_arrays ... ok
sklearn.metrics.tests.test_pairwise.test_check_tuple_input ... ok
sklearn.metrics.tests.test_pairwise.test_check_preserve_type ... ok
sklearn.metrics.tests.test_ranking.test_roc_curve ... ok
sklearn.metrics.tests.test_ranking.test_roc_curve_end_points ... ok
sklearn.metrics.tests.test_ranking.test_roc_returns_consistency ... ok
sklearn.metrics.tests.test_ranking.test_roc_curve_multi ... ok
sklearn.metrics.tests.test_ranking.test_roc_curve_confidence ... ok
sklearn.metrics.tests.test_ranking.test_roc_curve_hard ... ok
sklearn.metrics.tests.test_ranking.test_roc_curve_one_label ... ok
sklearn.metrics.tests.test_ranking.test_roc_curve_toydata ... ok
sklearn.metrics.tests.test_ranking.test_roc_curve_drop_intermediate ... ok
sklearn.metrics.tests.test_ranking.test_auc ... ok
sklearn.metrics.tests.test_ranking.test_auc_duplicate_values ... ok
sklearn.metrics.tests.test_ranking.test_auc_errors ... ok
sklearn.metrics.tests.test_ranking.test_auc_score_non_binary_class ... ok
sklearn.metrics.tests.test_ranking.test_binary_clf_curve ... ok
sklearn.metrics.tests.test_ranking.test_precision_recall_curve ... ok
sklearn.metrics.tests.test_ranking.test_precision_recall_curve_pos_label ... ok
sklearn.metrics.tests.test_ranking.test_precision_recall_curve_errors ... ok
sklearn.metrics.tests.test_ranking.test_precision_recall_curve_toydata ... SKIP: no precision-related exceptions get issued on armel
sklearn.metrics.tests.test_ranking.test_average_precision_constant_values ... ok
sklearn.metrics.tests.test_ranking.test_score_scale_invariance ... ok
sklearn.metrics.tests.test_ranking.test_label_ranking_avp(<function label_ranking_average_precision_score at 0xf3b0b588>,) ... ok
sklearn.metrics.tests.test_ranking.test_label_ranking_avp(<function label_ranking_average_precision_score at 0xf3b0b588>,) ... ok
sklearn.metrics.tests.test_ranking.test_label_ranking_avp(<function label_ranking_average_precision_score at 0xf3b0b588>,) ... ok
sklearn.metrics.tests.test_ranking.test_label_ranking_avp(<function label_ranking_average_precision_score at 0xf3b0b588>,) ... ok
sklearn.metrics.tests.test_ranking.test_label_ranking_avp(<function label_ranking_average_precision_score at 0xf3b0b588>,) ... ok
sklearn.metrics.tests.test_ranking.test_label_ranking_avp(<function _my_lrap at 0xf29ed978>,) ... ok
sklearn.metrics.tests.test_ranking.test_label_ranking_avp(<function _my_lrap at 0xf29ed978>,) ... ok
sklearn.metrics.tests.test_ranking.test_label_ranking_avp(<function _my_lrap at 0xf29ed978>,) ... ok
sklearn.metrics.tests.test_ranking.test_label_ranking_avp(<function _my_lrap at 0xf29ed978>,) ... ok
sklearn.metrics.tests.test_ranking.test_label_ranking_avp(<function label_ranking_average_precision_score at 0xf3b0b588>,) ... ok
sklearn.metrics.tests.test_ranking.test_label_ranking_avp(<function label_ranking_average_precision_score at 0xf3b0b588>, 2, 1, 0) ... ok
sklearn.metrics.tests.test_ranking.test_label_ranking_avp(<function label_ranking_average_precision_score at 0xf3b0b588>, 5, 1, 0) ... ok
sklearn.metrics.tests.test_ranking.test_label_ranking_avp(<function label_ranking_average_precision_score at 0xf3b0b588>, 10, 1, 0) ... ok
sklearn.metrics.tests.test_ranking.test_label_ranking_avp(<function label_ranking_average_precision_score at 0xf3b0b588>, 2, 2, 0) ... ok
sklearn.metrics.tests.test_ranking.test_label_ranking_avp(<function label_ranking_average_precision_score at 0xf3b0b588>, 5, 2, 0) ... ok
sklearn.metrics.tests.test_ranking.test_label_ranking_avp(<function label_ranking_average_precision_score at 0xf3b0b588>, 10, 2, 0) ... ok
sklearn.metrics.tests.test_ranking.test_label_ranking_avp(<function label_ranking_average_precision_score at 0xf3b0b588>, 2, 8, 0) ... ok
sklearn.metrics.tests.test_ranking.test_label_ranking_avp(<function label_ranking_average_precision_score at 0xf3b0b588>, 5, 8, 0) ... ok
sklearn.metrics.tests.test_ranking.test_label_ranking_avp(<function label_ranking_average_precision_score at 0xf3b0b588>, 10, 8, 0) ... ok
sklearn.metrics.tests.test_ranking.test_label_ranking_avp(<function label_ranking_average_precision_score at 0xf3b0b588>, 2, 20, 0) ... ok
sklearn.metrics.tests.test_ranking.test_label_ranking_avp(<function label_ranking_average_precision_score at 0xf3b0b588>, 5, 20, 0) ... ok
sklearn.metrics.tests.test_ranking.test_label_ranking_avp(<function label_ranking_average_precision_score at 0xf3b0b588>, 10, 20, 0) ... ok
sklearn.metrics.tests.test_ranking.test_coverage_error ... ok
sklearn.metrics.tests.test_ranking.test_coverage_tie_handling ... ok
sklearn.metrics.tests.test_ranking.test_label_ranking_loss ... ok
sklearn.metrics.tests.test_ranking.test_ranking_appropriate_input_shape ... ok
sklearn.metrics.tests.test_ranking.test_ranking_loss_ties_handling ... ok
sklearn.metrics.tests.test_regression.test_regression_metrics ... ok
sklearn.metrics.tests.test_regression.test_multioutput_regression ... ok
sklearn.metrics.tests.test_regression.test_regression_metrics_at_limits ... ok
sklearn.metrics.tests.test_regression.test__check_reg_targets ... ok
sklearn.metrics.tests.test_regression.test__check_reg_targets_exception ... ok
sklearn.metrics.tests.test_regression.test_regression_multioutput_array ... ok
sklearn.metrics.tests.test_regression.test_regression_custom_weights ... ok
/usr/lib/python3/dist-packages/nose/util.py:453: DeprecationWarning: inspect.getargspec() is deprecated, use inspect.signature() or inspect.getfullargspec()
inspect.getargspec(func)
sklearn.metrics.tests.test_score_objects.test_all_scorers_repr ... ok
sklearn.metrics.tests.test_score_objects.test_check_scoring_and_check_multimetric_scoring ... ok
sklearn.metrics.tests.test_score_objects.test_check_scoring_gridsearchcv ... ok
sklearn.metrics.tests.test_score_objects.test_make_scorer ... ok
sklearn.metrics.tests.test_score_objects.test_classification_scores ... ok
sklearn.metrics.tests.test_score_objects.test_raises_on_score_list ... ok
sklearn.metrics.tests.test_score_objects.test_scorer_sample_weight ... ok
sklearn.metrics.tests.test_score_objects.test_regression_scorers ... ok
sklearn.metrics.tests.test_score_objects.test_thresholded_scorers ... ok
sklearn.metrics.tests.test_score_objects.test_thresholded_scorers_multilabel_indicator_data ... ok
sklearn.metrics.tests.test_score_objects.test_supervised_cluster_scorers ... ok
sklearn.metrics.tests.test_score_objects.test_scorer_memmap_input('explained_variance',) ... ok
sklearn.metrics.tests.test_score_objects.test_scorer_memmap_input('r2',) ... ok
sklearn.metrics.tests.test_score_objects.test_scorer_memmap_input('neg_median_absolute_error',) ... ok
sklearn.metrics.tests.test_score_objects.test_scorer_memmap_input('neg_mean_absolute_error',) ... ok
sklearn.metrics.tests.test_score_objects.test_scorer_memmap_input('neg_mean_squared_error',) ... ok
sklearn.metrics.tests.test_score_objects.test_scorer_memmap_input('neg_mean_squared_log_error',) ... ok
sklearn.metrics.tests.test_score_objects.test_scorer_memmap_input('median_absolute_error',) ... ok
sklearn.metrics.tests.test_score_objects.test_scorer_memmap_input('mean_absolute_error',) ... ok
sklearn.metrics.tests.test_score_objects.test_scorer_memmap_input('mean_squared_error',) ... ok
sklearn.metrics.tests.test_score_objects.test_scorer_memmap_input('accuracy',) ... ok
sklearn.metrics.tests.test_score_objects.test_scorer_memmap_input('roc_auc',) ... ok
sklearn.metrics.tests.test_score_objects.test_scorer_memmap_input('average_precision',) ... ok
sklearn.metrics.tests.test_score_objects.test_scorer_memmap_input('log_loss',) ... ok
sklearn.metrics.tests.test_score_objects.test_scorer_memmap_input('neg_log_loss',) ... ok
sklearn.metrics.tests.test_score_objects.test_scorer_memmap_input('adjusted_rand_score',) ... ok
sklearn.metrics.tests.test_score_objects.test_scorer_memmap_input('homogeneity_score',) ... ok
sklearn.metrics.tests.test_score_objects.test_scorer_memmap_input('completeness_score',) ... ok
sklearn.metrics.tests.test_score_objects.test_scorer_memmap_input('v_measure_score',) ... ok
sklearn.metrics.tests.test_score_objects.test_scorer_memmap_input('mutual_info_score',) ... ok
sklearn.metrics.tests.test_score_objects.test_scorer_memmap_input('adjusted_mutual_info_score',) ... ok
sklearn.metrics.tests.test_score_objects.test_scorer_memmap_input('normalized_mutual_info_score',) ... ok
sklearn.metrics.tests.test_score_objects.test_scorer_memmap_input('fowlkes_mallows_score',) ... ok
sklearn.metrics.tests.test_score_objects.test_scorer_memmap_input('precision',) ... ok
sklearn.metrics.tests.test_score_objects.test_scorer_memmap_input('precision_macro',) ... ok
sklearn.metrics.tests.test_score_objects.test_scorer_memmap_input('precision_micro',) ... ok
sklearn.metrics.tests.test_score_objects.test_scorer_memmap_input('precision_samples',) ... ok
sklearn.metrics.tests.test_score_objects.test_scorer_memmap_input('precision_weighted',) ... ok
sklearn.metrics.tests.test_score_objects.test_scorer_memmap_input('recall',) ... ok
sklearn.metrics.tests.test_score_objects.test_scorer_memmap_input('recall_macro',) ... ok
sklearn.metrics.tests.test_score_objects.test_scorer_memmap_input('recall_micro',) ... ok
sklearn.metrics.tests.test_score_objects.test_scorer_memmap_input('recall_samples',) ... ok
sklearn.metrics.tests.test_score_objects.test_scorer_memmap_input('recall_weighted',) ... ok
sklearn.metrics.tests.test_score_objects.test_scorer_memmap_input('f1',) ... ok
sklearn.metrics.tests.test_score_objects.test_scorer_memmap_input('f1_macro',) ... ok
sklearn.metrics.tests.test_score_objects.test_scorer_memmap_input('f1_micro',) ... ok
sklearn.metrics.tests.test_score_objects.test_scorer_memmap_input('f1_samples',) ... ok
sklearn.metrics.tests.test_score_objects.test_scorer_memmap_input('f1_weighted',) ... ok
sklearn.metrics.tests.test_score_objects.test_deprecated_names ... ok
sklearn.metrics.tests.test_score_objects.test_scoring_is_not_metric ... ok
/usr/lib/python3/dist-packages/nose/util.py:453: DeprecationWarning: inspect.getargspec() is deprecated, use inspect.signature() or inspect.getfullargspec()
inspect.getargspec(func)
sklearn.mixture.tests.test_bayesian_mixture.test_log_dirichlet_norm ... ok
sklearn.mixture.tests.test_bayesian_mixture.test_log_wishart_norm ... ok
sklearn.mixture.tests.test_bayesian_mixture.test_bayesian_mixture_covariance_type ... ok
sklearn.mixture.tests.test_bayesian_mixture.test_bayesian_mixture_weight_concentration_prior_type ... ok
sklearn.mixture.tests.test_bayesian_mixture.test_bayesian_mixture_weights_prior_initialisation ... ok
sklearn.mixture.tests.test_bayesian_mixture.test_bayesian_mixture_means_prior_initialisation ... ok
sklearn.mixture.tests.test_bayesian_mixture.test_bayesian_mixture_precisions_prior_initialisation ... ok
sklearn.mixture.tests.test_bayesian_mixture.test_bayesian_mixture_check_is_fitted ... ok
sklearn.mixture.tests.test_bayesian_mixture.test_bayesian_mixture_weights ... ok
sklearn.mixture.tests.test_bayesian_mixture.test_check_covariance_precision ... ok
sklearn.mixture.tests.test_bayesian_mixture.test_invariant_translation ... ok
sklearn.mixture.tests.test_bayesian_mixture.test_monotonic_likelihood ... ok
sklearn.mixture.tests.test_bayesian_mixture.test_compare_covar_type ... ok
test_eval (sklearn.mixture.tests.test_dpgmm.TestDPGMMWithDiagCovars) ... ok
test_sample (sklearn.mixture.tests.test_dpgmm.TestDPGMMWithDiagCovars) ... ok
test_train (sklearn.mixture.tests.test_dpgmm.TestDPGMMWithDiagCovars) ... /usr/lib/python3/dist-packages/scipy/special/_logsumexp.py:112: RuntimeWarning: underflow encountered in exp
tmp = np.exp(a - a_max)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/mixture/dpgmm.py:55: RuntimeWarning: underflow encountered in exp
v = np.exp(v - out)
/usr/lib/python3/dist-packages/scipy/special/_logsumexp.py:112: RuntimeWarning: underflow encountered in exp
tmp = np.exp(a - a_max)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/mixture/dpgmm.py:55: RuntimeWarning: underflow encountered in exp
v = np.exp(v - out)
ok
test_train_1d (sklearn.mixture.tests.test_dpgmm.TestDPGMMWithDiagCovars) ... ok
test_train_degenerate (sklearn.mixture.tests.test_dpgmm.TestDPGMMWithDiagCovars) ... ok
test_eval (sklearn.mixture.tests.test_dpgmm.TestDPGMMWithFullCovars) ... ok
test_sample (sklearn.mixture.tests.test_dpgmm.TestDPGMMWithFullCovars) ... ok
test_train (sklearn.mixture.tests.test_dpgmm.TestDPGMMWithFullCovars) ... /usr/lib/python3/dist-packages/scipy/special/_logsumexp.py:112: RuntimeWarning: underflow encountered in exp
tmp = np.exp(a - a_max)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/mixture/dpgmm.py:55: RuntimeWarning: underflow encountered in exp
v = np.exp(v - out)
/usr/lib/python3/dist-packages/scipy/special/_logsumexp.py:112: RuntimeWarning: underflow encountered in exp
tmp = np.exp(a - a_max)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/mixture/dpgmm.py:55: RuntimeWarning: underflow encountered in exp
v = np.exp(v - out)
ok
test_train_1d (sklearn.mixture.tests.test_dpgmm.TestDPGMMWithFullCovars) ... ok
test_train_degenerate (sklearn.mixture.tests.test_dpgmm.TestDPGMMWithFullCovars) ... ok
test_eval (sklearn.mixture.tests.test_dpgmm.TestDPGMMWithSphericalCovars) ... ok
test_sample (sklearn.mixture.tests.test_dpgmm.TestDPGMMWithSphericalCovars) ... ok
test_train (sklearn.mixture.tests.test_dpgmm.TestDPGMMWithSphericalCovars) ... /usr/lib/python3/dist-packages/scipy/special/_logsumexp.py:112: RuntimeWarning: underflow encountered in exp
tmp = np.exp(a - a_max)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/mixture/dpgmm.py:55: RuntimeWarning: underflow encountered in exp
v = np.exp(v - out)
/usr/lib/python3/dist-packages/scipy/special/_logsumexp.py:112: RuntimeWarning: underflow encountered in exp
tmp = np.exp(a - a_max)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/mixture/dpgmm.py:55: RuntimeWarning: underflow encountered in exp
v = np.exp(v - out)
ok
test_train_1d (sklearn.mixture.tests.test_dpgmm.TestDPGMMWithSphericalCovars) ... ok
test_train_degenerate (sklearn.mixture.tests.test_dpgmm.TestDPGMMWithSphericalCovars) ... ok
test_eval (sklearn.mixture.tests.test_dpgmm.TestDPGMMWithTiedCovars) ... ok
test_sample (sklearn.mixture.tests.test_dpgmm.TestDPGMMWithTiedCovars) ... ok
test_train (sklearn.mixture.tests.test_dpgmm.TestDPGMMWithTiedCovars) ... /usr/lib/python3/dist-packages/scipy/special/_logsumexp.py:112: RuntimeWarning: underflow encountered in exp
tmp = np.exp(a - a_max)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/mixture/dpgmm.py:55: RuntimeWarning: underflow encountered in exp
v = np.exp(v - out)
ok
test_train_1d (sklearn.mixture.tests.test_dpgmm.TestDPGMMWithTiedCovars) ... ok
test_train_degenerate (sklearn.mixture.tests.test_dpgmm.TestDPGMMWithTiedCovars) ... ok
test_eval (sklearn.mixture.tests.test_dpgmm.TestVBGMMWithDiagCovars) ... ok
test_sample (sklearn.mixture.tests.test_dpgmm.TestVBGMMWithDiagCovars) ... ok
test_train (sklearn.mixture.tests.test_dpgmm.TestVBGMMWithDiagCovars) ... /usr/lib/python3/dist-packages/scipy/special/_logsumexp.py:112: RuntimeWarning: underflow encountered in exp
tmp = np.exp(a - a_max)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/mixture/dpgmm.py:55: RuntimeWarning: underflow encountered in exp
v = np.exp(v - out)
/usr/lib/python3/dist-packages/scipy/special/_logsumexp.py:112: RuntimeWarning: underflow encountered in exp
tmp = np.exp(a - a_max)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/mixture/dpgmm.py:55: RuntimeWarning: underflow encountered in exp
v = np.exp(v - out)
ok
test_train_1d (sklearn.mixture.tests.test_dpgmm.TestVBGMMWithDiagCovars) ... ok
test_train_degenerate (sklearn.mixture.tests.test_dpgmm.TestVBGMMWithDiagCovars) ... ok
test_eval (sklearn.mixture.tests.test_dpgmm.TestVBGMMWithFullCovars) ... ok
test_sample (sklearn.mixture.tests.test_dpgmm.TestVBGMMWithFullCovars) ... ok
test_train (sklearn.mixture.tests.test_dpgmm.TestVBGMMWithFullCovars) ... /usr/lib/python3/dist-packages/scipy/special/_logsumexp.py:112: RuntimeWarning: underflow encountered in exp
tmp = np.exp(a - a_max)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/mixture/dpgmm.py:55: RuntimeWarning: underflow encountered in exp
v = np.exp(v - out)
/usr/lib/python3/dist-packages/scipy/special/_logsumexp.py:112: RuntimeWarning: underflow encountered in exp
tmp = np.exp(a - a_max)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/mixture/dpgmm.py:55: RuntimeWarning: underflow encountered in exp
v = np.exp(v - out)
ok
test_train_1d (sklearn.mixture.tests.test_dpgmm.TestVBGMMWithFullCovars) ... ok
test_train_degenerate (sklearn.mixture.tests.test_dpgmm.TestVBGMMWithFullCovars) ... ok
test_eval (sklearn.mixture.tests.test_dpgmm.TestVBGMMWithSphericalCovars) ... ok
test_sample (sklearn.mixture.tests.test_dpgmm.TestVBGMMWithSphericalCovars) ... ok
test_train (sklearn.mixture.tests.test_dpgmm.TestVBGMMWithSphericalCovars) ... /usr/lib/python3/dist-packages/scipy/special/_logsumexp.py:112: RuntimeWarning: underflow encountered in exp
tmp = np.exp(a - a_max)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/mixture/dpgmm.py:55: RuntimeWarning: underflow encountered in exp
v = np.exp(v - out)
/usr/lib/python3/dist-packages/scipy/special/_logsumexp.py:112: RuntimeWarning: underflow encountered in exp
tmp = np.exp(a - a_max)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/mixture/dpgmm.py:55: RuntimeWarning: underflow encountered in exp
v = np.exp(v - out)
ok
test_train_1d (sklearn.mixture.tests.test_dpgmm.TestVBGMMWithSphericalCovars) ... ok
test_train_degenerate (sklearn.mixture.tests.test_dpgmm.TestVBGMMWithSphericalCovars) ... ok
test_eval (sklearn.mixture.tests.test_dpgmm.TestVBGMMWithTiedCovars) ... ok
test_sample (sklearn.mixture.tests.test_dpgmm.TestVBGMMWithTiedCovars) ... ok
test_train (sklearn.mixture.tests.test_dpgmm.TestVBGMMWithTiedCovars) ... /usr/lib/python3/dist-packages/scipy/special/_logsumexp.py:112: RuntimeWarning: underflow encountered in exp
tmp = np.exp(a - a_max)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/mixture/dpgmm.py:55: RuntimeWarning: underflow encountered in exp
v = np.exp(v - out)
ok
test_train_1d (sklearn.mixture.tests.test_dpgmm.TestVBGMMWithTiedCovars) ... ok
test_train_degenerate (sklearn.mixture.tests.test_dpgmm.TestVBGMMWithTiedCovars) ... ok
sklearn.mixture.tests.test_dpgmm.test_VBGMM_deprecation ... ok
sklearn.mixture.tests.test_dpgmm.test_vbgmm_no_modify_alpha ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/deprecation.py:58: DeprecationWarning: Class VBGMM is deprecated; The `VBGMM` class is not working correctly and it's better to use `sklearn.mixture.BayesianGaussianMixture` class with parameter `weight_concentration_prior_type='dirichlet_distribution'` instead. VBGMM is deprecated in 0.18 and will be removed in 0.20.
warnings.warn(msg, category=DeprecationWarning)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/deprecation.py:77: DeprecationWarning: Function digamma is deprecated; The function digamma is deprecated in 0.18 and will be removed in 0.20. Use scipy.special.digamma instead.
warnings.warn(msg, category=DeprecationWarning)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/deprecation.py:77: DeprecationWarning: Function log_normalize is deprecated; The function log_normalize is deprecated in 0.18 and will be removed in 0.20.
warnings.warn(msg, category=DeprecationWarning)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/deprecation.py:77: DeprecationWarning: Function gammaln is deprecated; The function gammaln is deprecated in 0.18 and will be removed in 0.20. Use scipy.special.gammaln instead.
warnings.warn(msg, category=DeprecationWarning)
ok
sklearn.mixture.tests.test_dpgmm.test_DPGMM_deprecation ... ok
sklearn.mixture.tests.test_dpgmm.test_class_weights ... ok
sklearn.mixture.tests.test_dpgmm.test_digamma ... ok
sklearn.mixture.tests.test_dpgmm.test_gammaln ... ok
sklearn.mixture.tests.test_dpgmm.test_log_normalize ... ok
sklearn.mixture.tests.test_dpgmm.test_verbose_boolean ... ok
sklearn.mixture.tests.test_dpgmm.test_verbose_first_level ... ok
sklearn.mixture.tests.test_dpgmm.test_verbose_second_level ... ok
sklearn.mixture.tests.test_dpgmm.test_wishart_log_det ... ok
sklearn.mixture.tests.test_dpgmm.test_wishart_logz ... ok
sklearn.mixture.tests.test_gaussian_mixture.test_gaussian_mixture_attributes ... ok
sklearn.mixture.tests.test_gaussian_mixture.test_check_X ... ok
sklearn.mixture.tests.test_gaussian_mixture.test_check_weights ... ok
sklearn.mixture.tests.test_gaussian_mixture.test_check_means ... ok
sklearn.mixture.tests.test_gaussian_mixture.test_check_precisions ... /usr/lib/python3/dist-packages/scipy/special/_logsumexp.py:112: RuntimeWarning: underflow encountered in exp
tmp = np.exp(a - a_max)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/mixture/gaussian_mixture.py:667: RuntimeWarning: underflow encountered in exp
_estimate_gaussian_parameters(X, np.exp(log_resp), self.reg_covar,
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/mixture/gaussian_mixture.py:167: RuntimeWarning: underflow encountered in multiply
covariances[k] = np.dot(resp[:, k] * diff.T, diff) / nk[k]
ok
sklearn.mixture.tests.test_gaussian_mixture.test_init ... ok
sklearn.mixture.tests.test_gaussian_mixture.test_suffstat_sk_full ... ok
sklearn.mixture.tests.test_gaussian_mixture.test_suffstat_sk_tied ... ok
sklearn.mixture.tests.test_gaussian_mixture.test_suffstat_sk_diag ... ok
sklearn.mixture.tests.test_gaussian_mixture.test_gaussian_suffstat_sk_spherical ... ok
sklearn.mixture.tests.test_gaussian_mixture.test_compute_log_det_cholesky ... ok
sklearn.mixture.tests.test_gaussian_mixture.test_gaussian_mixture_log_probabilities ... ok
sklearn.mixture.tests.test_gaussian_mixture.test_gaussian_mixture_estimate_log_prob_resp ... ok
sklearn.mixture.tests.test_gaussian_mixture.test_gaussian_mixture_predict_predict_proba ... ok
sklearn.mixture.tests.test_gaussian_mixture.test_gaussian_mixture_fit ... ok
sklearn.mixture.tests.test_gaussian_mixture.test_gaussian_mixture_fit_best_params ... ok
sklearn.mixture.tests.test_gaussian_mixture.test_gaussian_mixture_fit_convergence_warning ... ok
sklearn.mixture.tests.test_gaussian_mixture.test_multiple_init ... ok
sklearn.mixture.tests.test_gaussian_mixture.test_gaussian_mixture_n_parameters ... ok
sklearn.mixture.tests.test_gaussian_mixture.test_bic_1d_1component ... ok
sklearn.mixture.tests.test_gaussian_mixture.test_gaussian_mixture_aic_bic ... ok
sklearn.mixture.tests.test_gaussian_mixture.test_gaussian_mixture_verbose ... ok
sklearn.mixture.tests.test_gaussian_mixture.test_warm_start ... ok
sklearn.mixture.tests.test_gaussian_mixture.test_score ... ok
sklearn.mixture.tests.test_gaussian_mixture.test_score_samples ... ok
sklearn.mixture.tests.test_gaussian_mixture.test_monotonic_likelihood ... ok
sklearn.mixture.tests.test_gaussian_mixture.test_regularisation ... ok
sklearn.mixture.tests.test_gaussian_mixture.test_property ... ok
sklearn.mixture.tests.test_gaussian_mixture.test_sample ... ok
test_eval (sklearn.mixture.tests.test_gmm.TestGMMWithDiagonalCovars) ... /usr/lib/python3/dist-packages/scipy/special/_logsumexp.py:112: RuntimeWarning: underflow encountered in exp
tmp = np.exp(a - a_max)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/mixture/gmm.py:343: RuntimeWarning: underflow encountered in exp
responsibilities = np.exp(lpr - logprob[:, np.newaxis])
ok
test_sample (sklearn.mixture.tests.test_gmm.TestGMMWithDiagonalCovars) ... ok
test_train (sklearn.mixture.tests.test_gmm.TestGMMWithDiagonalCovars) ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/deprecation.py:77: DeprecationWarning: Function log_multivariate_normal_density is deprecated; The function log_multivariate_normal_density is deprecated in 0.18 and will be removed in 0.20.
warnings.warn(msg, category=DeprecationWarning)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/deprecation.py:77: DeprecationWarning: Function log_multivariate_normal_density is deprecated; The function log_multivariate_normal_density is deprecated in 0.18 and will be removed in 0.20.
warnings.warn(msg, category=DeprecationWarning)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/deprecation.py:77: DeprecationWarning: Function log_multivariate_normal_density is deprecated; The function log_multivariate_normal_density is deprecated in 0.18 and will be removed in 0.20.
warnings.warn(msg, category=DeprecationWarning)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/deprecation.py:77: DeprecationWarning: Function log_multivariate_normal_density is deprecated; The function log_multivariate_normal_density is deprecated in 0.18 and will be removed in 0.20.
warnings.warn(msg, category=DeprecationWarning)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/deprecation.py:77: DeprecationWarning: Function log_multivariate_normal_density is deprecated; The function log_multivariate_normal_density is deprecated in 0.18 and will be removed in 0.20.
warnings.warn(msg, category=DeprecationWarning)
/usr/lib/python3/dist-packages/scipy/special/_logsumexp.py:112: RuntimeWarning: underflow encountered in exp
tmp = np.exp(a - a_max)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/mixture/gmm.py:343: RuntimeWarning: underflow encountered in exp
responsibilities = np.exp(lpr - logprob[:, np.newaxis])
ok
test_train_1d (sklearn.mixture.tests.test_gmm.TestGMMWithDiagonalCovars) ... ok
test_train_degenerate (sklearn.mixture.tests.test_gmm.TestGMMWithDiagonalCovars) ... ok
test_eval (sklearn.mixture.tests.test_gmm.TestGMMWithFullCovars) ... /usr/lib/python3/dist-packages/scipy/special/_logsumexp.py:112: RuntimeWarning: underflow encountered in exp
tmp = np.exp(a - a_max)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/mixture/gmm.py:343: RuntimeWarning: underflow encountered in exp
responsibilities = np.exp(lpr - logprob[:, np.newaxis])
ok
test_sample (sklearn.mixture.tests.test_gmm.TestGMMWithFullCovars) ... ok
test_train (sklearn.mixture.tests.test_gmm.TestGMMWithFullCovars) ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/deprecation.py:77: DeprecationWarning: Function log_multivariate_normal_density is deprecated; The function log_multivariate_normal_density is deprecated in 0.18 and will be removed in 0.20.
warnings.warn(msg, category=DeprecationWarning)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/deprecation.py:77: DeprecationWarning: Function log_multivariate_normal_density is deprecated; The function log_multivariate_normal_density is deprecated in 0.18 and will be removed in 0.20.
warnings.warn(msg, category=DeprecationWarning)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/deprecation.py:77: DeprecationWarning: Function log_multivariate_normal_density is deprecated; The function log_multivariate_normal_density is deprecated in 0.18 and will be removed in 0.20.
warnings.warn(msg, category=DeprecationWarning)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/deprecation.py:77: DeprecationWarning: Function log_multivariate_normal_density is deprecated; The function log_multivariate_normal_density is deprecated in 0.18 and will be removed in 0.20.
warnings.warn(msg, category=DeprecationWarning)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/deprecation.py:77: DeprecationWarning: Function log_multivariate_normal_density is deprecated; The function log_multivariate_normal_density is deprecated in 0.18 and will be removed in 0.20.
warnings.warn(msg, category=DeprecationWarning)
/usr/lib/python3/dist-packages/scipy/special/_logsumexp.py:112: RuntimeWarning: underflow encountered in exp
tmp = np.exp(a - a_max)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/mixture/gmm.py:343: RuntimeWarning: underflow encountered in exp
responsibilities = np.exp(lpr - logprob[:, np.newaxis])
ok
test_train_1d (sklearn.mixture.tests.test_gmm.TestGMMWithFullCovars) ... ok
test_train_degenerate (sklearn.mixture.tests.test_gmm.TestGMMWithFullCovars) ... ok
test_eval (sklearn.mixture.tests.test_gmm.TestGMMWithSphericalCovars) ... /usr/lib/python3/dist-packages/scipy/special/_logsumexp.py:112: RuntimeWarning: underflow encountered in exp
tmp = np.exp(a - a_max)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/mixture/gmm.py:343: RuntimeWarning: underflow encountered in exp
responsibilities = np.exp(lpr - logprob[:, np.newaxis])
ok
test_sample (sklearn.mixture.tests.test_gmm.TestGMMWithSphericalCovars) ... ok
test_train (sklearn.mixture.tests.test_gmm.TestGMMWithSphericalCovars) ... /usr/lib/python3/dist-packages/scipy/special/_logsumexp.py:112: RuntimeWarning: underflow encountered in exp
tmp = np.exp(a - a_max)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/mixture/gmm.py:343: RuntimeWarning: underflow encountered in exp
responsibilities = np.exp(lpr - logprob[:, np.newaxis])
/usr/lib/python3/dist-packages/scipy/special/_logsumexp.py:112: RuntimeWarning: underflow encountered in exp
tmp = np.exp(a - a_max)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/mixture/gmm.py:343: RuntimeWarning: underflow encountered in exp
responsibilities = np.exp(lpr - logprob[:, np.newaxis])
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/deprecation.py:77: DeprecationWarning: Function log_multivariate_normal_density is deprecated; The function log_multivariate_normal_density is deprecated in 0.18 and will be removed in 0.20.
warnings.warn(msg, category=DeprecationWarning)
/usr/lib/python3/dist-packages/scipy/special/_logsumexp.py:112: RuntimeWarning: underflow encountered in exp
tmp = np.exp(a - a_max)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/mixture/gmm.py:343: RuntimeWarning: underflow encountered in exp
responsibilities = np.exp(lpr - logprob[:, np.newaxis])
/usr/lib/python3/dist-packages/scipy/special/_logsumexp.py:112: RuntimeWarning: underflow encountered in exp
tmp = np.exp(a - a_max)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/mixture/gmm.py:343: RuntimeWarning: underflow encountered in exp
responsibilities = np.exp(lpr - logprob[:, np.newaxis])
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/deprecation.py:77: DeprecationWarning: Function log_multivariate_normal_density is deprecated; The function log_multivariate_normal_density is deprecated in 0.18 and will be removed in 0.20.
warnings.warn(msg, category=DeprecationWarning)
/usr/lib/python3/dist-packages/scipy/special/_logsumexp.py:112: RuntimeWarning: underflow encountered in exp
tmp = np.exp(a - a_max)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/mixture/gmm.py:343: RuntimeWarning: underflow encountered in exp
responsibilities = np.exp(lpr - logprob[:, np.newaxis])
/usr/lib/python3/dist-packages/scipy/special/_logsumexp.py:112: RuntimeWarning: underflow encountered in exp
tmp = np.exp(a - a_max)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/mixture/gmm.py:343: RuntimeWarning: underflow encountered in exp
responsibilities = np.exp(lpr - logprob[:, np.newaxis])
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/deprecation.py:77: DeprecationWarning: Function log_multivariate_normal_density is deprecated; The function log_multivariate_normal_density is deprecated in 0.18 and will be removed in 0.20.
warnings.warn(msg, category=DeprecationWarning)
/usr/lib/python3/dist-packages/scipy/special/_logsumexp.py:112: RuntimeWarning: underflow encountered in exp
tmp = np.exp(a - a_max)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/mixture/gmm.py:343: RuntimeWarning: underflow encountered in exp
responsibilities = np.exp(lpr - logprob[:, np.newaxis])
/usr/lib/python3/dist-packages/scipy/special/_logsumexp.py:112: RuntimeWarning: underflow encountered in exp
tmp = np.exp(a - a_max)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/mixture/gmm.py:343: RuntimeWarning: underflow encountered in exp
responsibilities = np.exp(lpr - logprob[:, np.newaxis])
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/deprecation.py:77: DeprecationWarning: Function log_multivariate_normal_density is deprecated; The function log_multivariate_normal_density is deprecated in 0.18 and will be removed in 0.20.
warnings.warn(msg, category=DeprecationWarning)
/usr/lib/python3/dist-packages/scipy/special/_logsumexp.py:112: RuntimeWarning: underflow encountered in exp
tmp = np.exp(a - a_max)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/mixture/gmm.py:343: RuntimeWarning: underflow encountered in exp
responsibilities = np.exp(lpr - logprob[:, np.newaxis])
/usr/lib/python3/dist-packages/scipy/special/_logsumexp.py:112: RuntimeWarning: underflow encountered in exp
tmp = np.exp(a - a_max)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/mixture/gmm.py:343: RuntimeWarning: underflow encountered in exp
responsibilities = np.exp(lpr - logprob[:, np.newaxis])
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/deprecation.py:77: DeprecationWarning: Function log_multivariate_normal_density is deprecated; The function log_multivariate_normal_density is deprecated in 0.18 and will be removed in 0.20.
warnings.warn(msg, category=DeprecationWarning)
/usr/lib/python3/dist-packages/scipy/special/_logsumexp.py:112: RuntimeWarning: underflow encountered in exp
tmp = np.exp(a - a_max)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/mixture/gmm.py:343: RuntimeWarning: underflow encountered in exp
responsibilities = np.exp(lpr - logprob[:, np.newaxis])
ok
test_train_1d (sklearn.mixture.tests.test_gmm.TestGMMWithSphericalCovars) ... ok
test_train_degenerate (sklearn.mixture.tests.test_gmm.TestGMMWithSphericalCovars) ... ok
test_eval (sklearn.mixture.tests.test_gmm.TestGMMWithTiedCovars) ... /usr/lib/python3/dist-packages/scipy/special/_logsumexp.py:112: RuntimeWarning: underflow encountered in exp
tmp = np.exp(a - a_max)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/mixture/gmm.py:343: RuntimeWarning: underflow encountered in exp
responsibilities = np.exp(lpr - logprob[:, np.newaxis])
ok
test_sample (sklearn.mixture.tests.test_gmm.TestGMMWithTiedCovars) ... ok
test_train (sklearn.mixture.tests.test_gmm.TestGMMWithTiedCovars) ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/deprecation.py:77: DeprecationWarning: Function log_multivariate_normal_density is deprecated; The function log_multivariate_normal_density is deprecated in 0.18 and will be removed in 0.20.
warnings.warn(msg, category=DeprecationWarning)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/deprecation.py:77: DeprecationWarning: Function log_multivariate_normal_density is deprecated; The function log_multivariate_normal_density is deprecated in 0.18 and will be removed in 0.20.
warnings.warn(msg, category=DeprecationWarning)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/deprecation.py:77: DeprecationWarning: Function log_multivariate_normal_density is deprecated; The function log_multivariate_normal_density is deprecated in 0.18 and will be removed in 0.20.
warnings.warn(msg, category=DeprecationWarning)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/deprecation.py:77: DeprecationWarning: Function log_multivariate_normal_density is deprecated; The function log_multivariate_normal_density is deprecated in 0.18 and will be removed in 0.20.
warnings.warn(msg, category=DeprecationWarning)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/deprecation.py:77: DeprecationWarning: Function log_multivariate_normal_density is deprecated; The function log_multivariate_normal_density is deprecated in 0.18 and will be removed in 0.20.
warnings.warn(msg, category=DeprecationWarning)
ok
test_train_1d (sklearn.mixture.tests.test_gmm.TestGMMWithTiedCovars) ... ok
test_train_degenerate (sklearn.mixture.tests.test_gmm.TestGMMWithTiedCovars) ... ok
sklearn.mixture.tests.test_gmm.test_sample_gaussian ... ok
sklearn.mixture.tests.test_gmm.test_lmvnpdf_diag ... ok
sklearn.mixture.tests.test_gmm.test_lmvnpdf_spherical ... ok
sklearn.mixture.tests.test_gmm.test_lmvnpdf_full ... ok
sklearn.mixture.tests.test_gmm.test_lvmpdf_full_cv_non_positive_definite ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/deprecation.py:77: DeprecationWarning: Function log_multivariate_normal_density is deprecated; The function log_multivariate_normal_density is deprecated in 0.18 and will be removed in 0.20.
warnings.warn(msg, category=DeprecationWarning)
ok
sklearn.mixture.tests.test_gmm.test_1d_1component ... ok
sklearn.mixture.tests.test_gmm.test_GMM_attributes ... ok
sklearn.mixture.tests.test_gmm.test_aic ... ok
test that gmm.fit_predict is equivalent to gmm.fit + gmm.predict ... ok
sklearn.mixture.tests.test_gmm.test_multiple_init ... ok
sklearn.mixture.tests.test_gmm.test_n_parameters ... ok
sklearn.mixture.tests.test_gmm.test_verbose_first_level ... ok
sklearn.mixture.tests.test_gmm.test_verbose_second_level ... ok
sklearn.mixture.tests.test_gmm.test_positive_definite_covars('full',) ... ok
sklearn.mixture.tests.test_gmm.test_positive_definite_covars('tied',) ... ok
sklearn.mixture.tests.test_gmm.test_positive_definite_covars('diag',) ... ok
sklearn.mixture.tests.test_gmm.test_positive_definite_covars('spherical',) ... ok
sklearn.model_selection.tests.test_search.test_parameter_grid ... ok
sklearn.model_selection.tests.test_search.test_grid_search ... [Parallel(n_jobs=1)]: Done 1 out of 1 | elapsed: 0.0s remaining: 0.0s
[Parallel(n_jobs=1)]: Done 2 out of 2 | elapsed: 0.0s remaining: 0.0s
[Parallel(n_jobs=1)]: Done 9 out of 9 | elapsed: 0.0s finished
ok
sklearn.model_selection.tests.test_search.test_grid_search_with_fit_params ... ok
sklearn.model_selection.tests.test_search.test_random_search_with_fit_params ... ok
sklearn.model_selection.tests.test_search.test_grid_search_fit_params_deprecation ... ok
sklearn.model_selection.tests.test_search.test_grid_search_fit_params_two_places ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/model_selection/_search.py:585: DeprecationWarning: "fit_params" as a constructor argument was deprecated in version 0.19 and will be removed in version 0.21. Pass fit parameters to the "fit" method instead.
'"fit" method instead.', DeprecationWarning)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/model_selection/_search.py:589: RuntimeWarning: Ignoring fit_params passed as a constructor argument in favor of keyword arguments to the "fit" method.
'the "fit" method.', RuntimeWarning)
ok
sklearn.model_selection.tests.test_search.test_grid_search_no_score ... ok
sklearn.model_selection.tests.test_search.test_pandas_input ... ok
sklearn.model_selection.tests.test_search.test_refit ... ok
sklearn.model_selection.tests.test_search.test_search_cv_timing ... ok
sklearn.model_selection.tests.test_search.test_grid_search_score_method ... ok
sklearn.model_selection.tests.test_search.test_grid_search_groups ... ok
sklearn.model_selection.tests.test_search.test_return_train_score_warn ... ok
sklearn.model_selection.tests.test_search.test_classes__property ... ok
sklearn.model_selection.tests.test_search.test_trivial_cv_results_attr ... ok
sklearn.model_selection.tests.test_search.test_no_refit ... ok
sklearn.model_selection.tests.test_search.test_grid_search_error ... ok
sklearn.model_selection.tests.test_search.test_grid_search_one_grid_point ... ok
sklearn.model_selection.tests.test_search.test_grid_search_when_param_grid_includes_range ... ok
sklearn.model_selection.tests.test_search.test_grid_search_bad_param_grid ... ok
sklearn.model_selection.tests.test_search.test_grid_search_sparse ... ok
sklearn.model_selection.tests.test_search.test_grid_search_sparse_scoring ... ok
sklearn.model_selection.tests.test_search.test_grid_search_precomputed_kernel ... ok
sklearn.model_selection.tests.test_search.test_grid_search_precomputed_kernel_error_nonsquare ... ok
sklearn.model_selection.tests.test_search.test_gridsearch_nd ... ok
sklearn.model_selection.tests.test_search.test_X_as_list ... ok
sklearn.model_selection.tests.test_search.test_y_as_list ... ok
sklearn.model_selection.tests.test_search.test_unsupervised_grid_search ... ok
sklearn.model_selection.tests.test_search.test_gridsearch_no_predict ... ok
sklearn.model_selection.tests.test_search.test_param_sampler ... ok
sklearn.model_selection.tests.test_search.test_grid_search_cv_results ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/deprecation.py:122: FutureWarning: You are accessing a training score ('mean_train_score'), which will not be available by default any more in 0.21. If you need training scores, please set return_train_score=True
warnings.warn(*warn_args, **warn_kwargs)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/deprecation.py:122: FutureWarning: You are accessing a training score ('split0_train_score'), which will not be available by default any more in 0.21. If you need training scores, please set return_train_score=True
warnings.warn(*warn_args, **warn_kwargs)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/deprecation.py:122: FutureWarning: You are accessing a training score ('split1_train_score'), which will not be available by default any more in 0.21. If you need training scores, please set return_train_score=True
warnings.warn(*warn_args, **warn_kwargs)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/deprecation.py:122: FutureWarning: You are accessing a training score ('split2_train_score'), which will not be available by default any more in 0.21. If you need training scores, please set return_train_score=True
warnings.warn(*warn_args, **warn_kwargs)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/deprecation.py:122: FutureWarning: You are accessing a training score ('std_train_score'), which will not be available by default any more in 0.21. If you need training scores, please set return_train_score=True
warnings.warn(*warn_args, **warn_kwargs)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/deprecation.py:122: FutureWarning: You are accessing a training score ('mean_train_score'), which will not be available by default any more in 0.21. If you need training scores, please set return_train_score=True
warnings.warn(*warn_args, **warn_kwargs)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/deprecation.py:122: FutureWarning: You are accessing a training score ('split0_train_score'), which will not be available by default any more in 0.21. If you need training scores, please set return_train_score=True
warnings.warn(*warn_args, **warn_kwargs)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/deprecation.py:122: FutureWarning: You are accessing a training score ('split1_train_score'), which will not be available by default any more in 0.21. If you need training scores, please set return_train_score=True
warnings.warn(*warn_args, **warn_kwargs)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/deprecation.py:122: FutureWarning: You are accessing a training score ('split2_train_score'), which will not be available by default any more in 0.21. If you need training scores, please set return_train_score=True
warnings.warn(*warn_args, **warn_kwargs)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/deprecation.py:122: FutureWarning: You are accessing a training score ('std_train_score'), which will not be available by default any more in 0.21. If you need training scores, please set return_train_score=True
warnings.warn(*warn_args, **warn_kwargs)
ok
sklearn.model_selection.tests.test_search.test_random_search_cv_results ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/deprecation.py:122: FutureWarning: You are accessing a training score ('mean_train_score'), which will not be available by default any more in 0.21. If you need training scores, please set return_train_score=True
warnings.warn(*warn_args, **warn_kwargs)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/deprecation.py:122: FutureWarning: You are accessing a training score ('split0_train_score'), which will not be available by default any more in 0.21. If you need training scores, please set return_train_score=True
warnings.warn(*warn_args, **warn_kwargs)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/deprecation.py:122: FutureWarning: You are accessing a training score ('split1_train_score'), which will not be available by default any more in 0.21. If you need training scores, please set return_train_score=True
warnings.warn(*warn_args, **warn_kwargs)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/deprecation.py:122: FutureWarning: You are accessing a training score ('split2_train_score'), which will not be available by default any more in 0.21. If you need training scores, please set return_train_score=True
warnings.warn(*warn_args, **warn_kwargs)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/deprecation.py:122: FutureWarning: You are accessing a training score ('std_train_score'), which will not be available by default any more in 0.21. If you need training scores, please set return_train_score=True
warnings.warn(*warn_args, **warn_kwargs)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/deprecation.py:122: FutureWarning: You are accessing a training score ('mean_train_score'), which will not be available by default any more in 0.21. If you need training scores, please set return_train_score=True
warnings.warn(*warn_args, **warn_kwargs)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/deprecation.py:122: FutureWarning: You are accessing a training score ('split0_train_score'), which will not be available by default any more in 0.21. If you need training scores, please set return_train_score=True
warnings.warn(*warn_args, **warn_kwargs)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/deprecation.py:122: FutureWarning: You are accessing a training score ('split1_train_score'), which will not be available by default any more in 0.21. If you need training scores, please set return_train_score=True
warnings.warn(*warn_args, **warn_kwargs)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/deprecation.py:122: FutureWarning: You are accessing a training score ('split2_train_score'), which will not be available by default any more in 0.21. If you need training scores, please set return_train_score=True
warnings.warn(*warn_args, **warn_kwargs)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/deprecation.py:122: FutureWarning: You are accessing a training score ('std_train_score'), which will not be available by default any more in 0.21. If you need training scores, please set return_train_score=True
warnings.warn(*warn_args, **warn_kwargs)
ok
sklearn.model_selection.tests.test_search.test_search_iid_param ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/deprecation.py:122: FutureWarning: You are accessing a training score ('split0_train_score'), which will not be available by default any more in 0.21. If you need training scores, please set return_train_score=True
warnings.warn(*warn_args, **warn_kwargs)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/deprecation.py:122: FutureWarning: You are accessing a training score ('split1_train_score'), which will not be available by default any more in 0.21. If you need training scores, please set return_train_score=True
warnings.warn(*warn_args, **warn_kwargs)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/deprecation.py:122: FutureWarning: You are accessing a training score ('mean_train_score'), which will not be available by default any more in 0.21. If you need training scores, please set return_train_score=True
warnings.warn(*warn_args, **warn_kwargs)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/deprecation.py:122: FutureWarning: You are accessing a training score ('std_train_score'), which will not be available by default any more in 0.21. If you need training scores, please set return_train_score=True
warnings.warn(*warn_args, **warn_kwargs)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/deprecation.py:122: FutureWarning: You are accessing a training score ('split0_train_score'), which will not be available by default any more in 0.21. If you need training scores, please set return_train_score=True
warnings.warn(*warn_args, **warn_kwargs)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/deprecation.py:122: FutureWarning: You are accessing a training score ('split1_train_score'), which will not be available by default any more in 0.21. If you need training scores, please set return_train_score=True
warnings.warn(*warn_args, **warn_kwargs)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/deprecation.py:122: FutureWarning: You are accessing a training score ('mean_train_score'), which will not be available by default any more in 0.21. If you need training scores, please set return_train_score=True
warnings.warn(*warn_args, **warn_kwargs)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/deprecation.py:122: FutureWarning: You are accessing a training score ('std_train_score'), which will not be available by default any more in 0.21. If you need training scores, please set return_train_score=True
warnings.warn(*warn_args, **warn_kwargs)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/deprecation.py:122: FutureWarning: You are accessing a training score ('split0_train_score'), which will not be available by default any more in 0.21. If you need training scores, please set return_train_score=True
warnings.warn(*warn_args, **warn_kwargs)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/deprecation.py:122: FutureWarning: You are accessing a training score ('split1_train_score'), which will not be available by default any more in 0.21. If you need training scores, please set return_train_score=True
warnings.warn(*warn_args, **warn_kwargs)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/deprecation.py:122: FutureWarning: You are accessing a training score ('mean_train_score'), which will not be available by default any more in 0.21. If you need training scores, please set return_train_score=True
warnings.warn(*warn_args, **warn_kwargs)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/deprecation.py:122: FutureWarning: You are accessing a training score ('std_train_score'), which will not be available by default any more in 0.21. If you need training scores, please set return_train_score=True
warnings.warn(*warn_args, **warn_kwargs)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/deprecation.py:122: FutureWarning: You are accessing a training score ('split0_train_score'), which will not be available by default any more in 0.21. If you need training scores, please set return_train_score=True
warnings.warn(*warn_args, **warn_kwargs)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/deprecation.py:122: FutureWarning: You are accessing a training score ('split1_train_score'), which will not be available by default any more in 0.21. If you need training scores, please set return_train_score=True
warnings.warn(*warn_args, **warn_kwargs)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/deprecation.py:122: FutureWarning: You are accessing a training score ('mean_train_score'), which will not be available by default any more in 0.21. If you need training scores, please set return_train_score=True
warnings.warn(*warn_args, **warn_kwargs)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/deprecation.py:122: FutureWarning: You are accessing a training score ('std_train_score'), which will not be available by default any more in 0.21. If you need training scores, please set return_train_score=True
warnings.warn(*warn_args, **warn_kwargs)
ok
sklearn.model_selection.tests.test_search.test_grid_search_cv_results_multimetric ... ok
sklearn.model_selection.tests.test_search.test_random_search_cv_results_multimetric ... ok
sklearn.model_selection.tests.test_search.test_search_cv_results_rank_tie_breaking ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/deprecation.py:122: FutureWarning: You are accessing a training score ('mean_train_score'), which will not be available by default any more in 0.21. If you need training scores, please set return_train_score=True
warnings.warn(*warn_args, **warn_kwargs)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/deprecation.py:122: FutureWarning: You are accessing a training score ('mean_train_score'), which will not be available by default any more in 0.21. If you need training scores, please set return_train_score=True
warnings.warn(*warn_args, **warn_kwargs)
ok
sklearn.model_selection.tests.test_search.test_search_cv_results_none_param ... ok
sklearn.model_selection.tests.test_search.test_grid_search_correct_score_results ... ok
sklearn.model_selection.tests.test_search.test_fit_grid_point ... ok
sklearn.model_selection.tests.test_search.test_pickle ... ok
sklearn.model_selection.tests.test_search.test_grid_search_with_multioutput_data ... ok
sklearn.model_selection.tests.test_search.test_predict_proba_disabled ... ok
sklearn.model_selection.tests.test_search.test_grid_search_allows_nans ... ok
sklearn.model_selection.tests.test_search.test_grid_search_failing_classifier ... ok
sklearn.model_selection.tests.test_search.test_grid_search_failing_classifier_raise ... ok
sklearn.model_selection.tests.test_search.test_parameters_sampler_replacement ... ok
sklearn.model_selection.tests.test_search.test_stochastic_gradient_loss_param ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/base.py:340: RuntimeWarning: underflow encountered in exp
np.exp(prob, prob)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/stochastic_gradient.py:904: RuntimeWarning: divide by zero encountered in log
return np.log(self.predict_proba(X))
ok
sklearn.model_selection.tests.test_search.test_search_train_scores_set_to_false ... ok
sklearn.model_selection.tests.test_search.test_grid_search_cv_splits_consistency ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/deprecation.py:122: FutureWarning: You are accessing a training score ('split0_train_score'), which will not be available by default any more in 0.21. If you need training scores, please set return_train_score=True
warnings.warn(*warn_args, **warn_kwargs)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/deprecation.py:122: FutureWarning: You are accessing a training score ('split1_train_score'), which will not be available by default any more in 0.21. If you need training scores, please set return_train_score=True
warnings.warn(*warn_args, **warn_kwargs)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/deprecation.py:122: FutureWarning: You are accessing a training score ('split2_train_score'), which will not be available by default any more in 0.21. If you need training scores, please set return_train_score=True
warnings.warn(*warn_args, **warn_kwargs)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/deprecation.py:122: FutureWarning: You are accessing a training score ('split3_train_score'), which will not be available by default any more in 0.21. If you need training scores, please set return_train_score=True
warnings.warn(*warn_args, **warn_kwargs)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/deprecation.py:122: FutureWarning: You are accessing a training score ('split4_train_score'), which will not be available by default any more in 0.21. If you need training scores, please set return_train_score=True
warnings.warn(*warn_args, **warn_kwargs)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/deprecation.py:122: FutureWarning: You are accessing a training score ('mean_train_score'), which will not be available by default any more in 0.21. If you need training scores, please set return_train_score=True
warnings.warn(*warn_args, **warn_kwargs)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/deprecation.py:122: FutureWarning: You are accessing a training score ('std_train_score'), which will not be available by default any more in 0.21. If you need training scores, please set return_train_score=True
warnings.warn(*warn_args, **warn_kwargs)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/deprecation.py:122: FutureWarning: You are accessing a training score ('split0_train_score'), which will not be available by default any more in 0.21. If you need training scores, please set return_train_score=True
warnings.warn(*warn_args, **warn_kwargs)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/deprecation.py:122: FutureWarning: You are accessing a training score ('split1_train_score'), which will not be available by default any more in 0.21. If you need training scores, please set return_train_score=True
warnings.warn(*warn_args, **warn_kwargs)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/deprecation.py:122: FutureWarning: You are accessing a training score ('split2_train_score'), which will not be available by default any more in 0.21. If you need training scores, please set return_train_score=True
warnings.warn(*warn_args, **warn_kwargs)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/deprecation.py:122: FutureWarning: You are accessing a training score ('split3_train_score'), which will not be available by default any more in 0.21. If you need training scores, please set return_train_score=True
warnings.warn(*warn_args, **warn_kwargs)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/deprecation.py:122: FutureWarning: You are accessing a training score ('split4_train_score'), which will not be available by default any more in 0.21. If you need training scores, please set return_train_score=True
warnings.warn(*warn_args, **warn_kwargs)
ok
sklearn.model_selection.tests.test_search.test_transform_inverse_transform_round_trip ... [Parallel(n_jobs=1)]: Done 1 out of 1 | elapsed: 0.0s remaining: 0.0s
[Parallel(n_jobs=1)]: Done 2 out of 2 | elapsed: 0.0s remaining: 0.0s
[Parallel(n_jobs=1)]: Done 9 out of 9 | elapsed: 0.0s finished
ok
sklearn.model_selection.tests.test_split.test_2d_y ... ok
sklearn.model_selection.tests.test_split.test_kfold_valueerrors ... ok
sklearn.model_selection.tests.test_split.test_cross_validator_with_default_params ... ok
sklearn.model_selection.tests.test_split.test_repeated_cv_value_errors ... ok
sklearn.model_selection.tests.test_split.test_shufflesplit_errors ... ok
sklearn.model_selection.tests.test_split.test_stratified_shuffle_split_init ... ok
sklearn.model_selection.tests.test_split.train_test_split_pandas ... ok
sklearn.model_selection.tests.test_split.test_kfold_indices ... ok
sklearn.model_selection.tests.test_split.test_kfold_no_shuffle ... ok
sklearn.model_selection.tests.test_split.test_stratified_kfold_no_shuffle ... ok
sklearn.model_selection.tests.test_split.test_stratified_kfold_ratios ... ok
sklearn.model_selection.tests.test_split.test_kfold_balance ... ok
sklearn.model_selection.tests.test_split.test_stratifiedkfold_balance ... ok
sklearn.model_selection.tests.test_split.test_shuffle_kfold ... ok
sklearn.model_selection.tests.test_split.test_shuffle_kfold_stratifiedkfold_reproducibility ... /usr/lib/python3/dist-packages/numpy/testing/nose_tools/utils.py:763: DeprecationWarning: elementwise == comparison failed; this will raise an error in the future.
val = comparison(x, y)
ok
sklearn.model_selection.tests.test_split.test_shuffle_stratifiedkfold ... ok
sklearn.model_selection.tests.test_split.test_kfold_can_detect_dependent_samples_on_digits ... ok
sklearn.model_selection.tests.test_split.test_shuffle_split ... ok
sklearn.model_selection.tests.test_split.test_stratified_shuffle_split_respects_test_size ... ok
sklearn.model_selection.tests.test_split.test_stratified_shuffle_split_iter ... ok
sklearn.model_selection.tests.test_split.test_stratified_shuffle_split_even ... ok
sklearn.model_selection.tests.test_split.test_stratified_shuffle_split_overlap_train_test_bug ... ok
sklearn.model_selection.tests.test_split.test_stratified_shuffle_split_multilabel ... ok
sklearn.model_selection.tests.test_split.test_stratified_shuffle_split_multilabel_many_labels ... ok
sklearn.model_selection.tests.test_split.test_predefinedsplit_with_kfold_split ... ok
sklearn.model_selection.tests.test_split.test_group_shuffle_split ... ok
sklearn.model_selection.tests.test_split.test_leave_one_p_group_out ... ok
sklearn.model_selection.tests.test_split.test_leave_group_out_changing_groups ... ok
sklearn.model_selection.tests.test_split.test_leave_one_p_group_out_error_on_fewer_number_of_groups ... ok
sklearn.model_selection.tests.test_split.test_repeated_kfold_determinstic_split ... ok
sklearn.model_selection.tests.test_split.test_get_n_splits_for_repeated_kfold ... ok
sklearn.model_selection.tests.test_split.test_get_n_splits_for_repeated_stratified_kfold ... ok
sklearn.model_selection.tests.test_split.test_repeated_stratified_kfold_determinstic_split ... ok
sklearn.model_selection.tests.test_split.test_train_test_split_errors ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/model_selection/_split.py:2026: FutureWarning: From version 0.21, test_size will always complement train_size unless both are specified.
FutureWarning)
ok
sklearn.model_selection.tests.test_split.test_train_test_split ... ok
sklearn.model_selection.tests.test_split.train_test_split_sparse ... ok
sklearn.model_selection.tests.test_split.train_test_split_mock_pandas ... ok
sklearn.model_selection.tests.test_split.train_test_split_list_input ... ok
sklearn.model_selection.tests.test_split.test_shufflesplit_reproducible ... ok
sklearn.model_selection.tests.test_split.test_stratifiedshufflesplit_list_input ... ok
sklearn.model_selection.tests.test_split.test_train_test_split_allow_nans ... ok
sklearn.model_selection.tests.test_split.test_check_cv ... ok
sklearn.model_selection.tests.test_split.test_cv_iterable_wrapper ... ok
sklearn.model_selection.tests.test_split.test_group_kfold ... ok
sklearn.model_selection.tests.test_split.test_time_series_cv ... ok
sklearn.model_selection.tests.test_split.test_time_series_max_train_size ... ok
sklearn.model_selection.tests.test_split.test_nested_cv ... ok
sklearn.model_selection.tests.test_split.test_train_test_default_warning ... ok
sklearn.model_selection.tests.test_split.test_build_repr ... ok
sklearn.model_selection.tests.test_validation.test_cross_val_score ... ok
sklearn.model_selection.tests.test_validation.test_cross_validate_invalid_scoring_param ... ok
sklearn.model_selection.tests.test_validation.test_cross_validate(Ridge(alpha=1.0, copy_X=True, fit_intercept=True, max_iter=None, ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/deprecation.py:122: FutureWarning: You are accessing a training score ('train_score'), which will not be available by default any more in 0.21. If you need training scores, please set return_train_score=True
warnings.warn(*warn_args, **warn_kwargs)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/deprecation.py:122: FutureWarning: You are accessing a training score ('train_r2'), which will not be available by default any more in 0.21. If you need training scores, please set return_train_score=True
warnings.warn(*warn_args, **warn_kwargs)
ok
sklearn.model_selection.tests.test_validation.test_cross_validate(Ridge(alpha=1.0, copy_X=True, fit_intercept=True, max_iter=None, ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/deprecation.py:122: FutureWarning: You are accessing a training score ('train_r2'), which will not be available by default any more in 0.21. If you need training scores, please set return_train_score=True
warnings.warn(*warn_args, **warn_kwargs)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/deprecation.py:122: FutureWarning: You are accessing a training score ('train_neg_mean_squared_error'), which will not be available by default any more in 0.21. If you need training scores, please set return_train_score=True
warnings.warn(*warn_args, **warn_kwargs)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/deprecation.py:122: FutureWarning: You are accessing a training score ('train_r2'), which will not be available by default any more in 0.21. If you need training scores, please set return_train_score=True
warnings.warn(*warn_args, **warn_kwargs)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/deprecation.py:122: FutureWarning: You are accessing a training score ('train_neg_mean_squared_error'), which will not be available by default any more in 0.21. If you need training scores, please set return_train_score=True
warnings.warn(*warn_args, **warn_kwargs)
ok
sklearn.model_selection.tests.test_validation.test_cross_validate(Ridge(alpha=1.0, copy_X=True, fit_intercept=True, max_iter=None, ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/deprecation.py:122: FutureWarning: You are accessing a training score ('train_score'), which will not be available by default any more in 0.21. If you need training scores, please set return_train_score=True
warnings.warn(*warn_args, **warn_kwargs)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/deprecation.py:122: FutureWarning: You are accessing a training score ('train_r2'), which will not be available by default any more in 0.21. If you need training scores, please set return_train_score=True
warnings.warn(*warn_args, **warn_kwargs)
ok
sklearn.model_selection.tests.test_validation.test_cross_validate(Ridge(alpha=1.0, copy_X=True, fit_intercept=True, max_iter=None, ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/deprecation.py:122: FutureWarning: You are accessing a training score ('train_r2'), which will not be available by default any more in 0.21. If you need training scores, please set return_train_score=True
warnings.warn(*warn_args, **warn_kwargs)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/deprecation.py:122: FutureWarning: You are accessing a training score ('train_neg_mean_squared_error'), which will not be available by default any more in 0.21. If you need training scores, please set return_train_score=True
warnings.warn(*warn_args, **warn_kwargs)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/deprecation.py:122: FutureWarning: You are accessing a training score ('train_r2'), which will not be available by default any more in 0.21. If you need training scores, please set return_train_score=True
warnings.warn(*warn_args, **warn_kwargs)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/deprecation.py:122: FutureWarning: You are accessing a training score ('train_neg_mean_squared_error'), which will not be available by default any more in 0.21. If you need training scores, please set return_train_score=True
warnings.warn(*warn_args, **warn_kwargs)
ok
sklearn.model_selection.tests.test_validation.test_cross_validate_return_train_score_warn ... ok
sklearn.model_selection.tests.test_validation.test_cross_val_score_predict_groups ... ok
sklearn.model_selection.tests.test_validation.test_cross_val_score_pandas ... ok
sklearn.model_selection.tests.test_validation.test_cross_val_score_mask ... ok
sklearn.model_selection.tests.test_validation.test_cross_val_score_precomputed ... ok
sklearn.model_selection.tests.test_validation.test_cross_val_score_fit_params ... ok
sklearn.model_selection.tests.test_validation.test_cross_val_score_score_func ... ok
sklearn.model_selection.tests.test_validation.test_cross_val_score_errors ... ok
sklearn.model_selection.tests.test_validation.test_cross_val_score_with_score_func_classification ... ok
sklearn.model_selection.tests.test_validation.test_cross_val_score_with_score_func_regression ... ok
sklearn.model_selection.tests.test_validation.test_permutation_score ... ok
sklearn.model_selection.tests.test_validation.test_permutation_test_score_allow_nans ... ok
sklearn.model_selection.tests.test_validation.test_cross_val_score_allow_nans ... ok
sklearn.model_selection.tests.test_validation.test_cross_val_score_multilabel ... ok
sklearn.model_selection.tests.test_validation.test_cross_val_predict ... ok
sklearn.model_selection.tests.test_validation.test_cross_val_predict_decision_function_shape ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/model_selection/_validation.py:768: RuntimeWarning: Number of classes in training fold (1) does not match total number of classes (2). Results may not be appropriate for your use case. To fix this, use a cross-validation technique resulting in properly stratified folds
RuntimeWarning)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/model_selection/_validation.py:768: RuntimeWarning: Number of classes in training fold (7) does not match total number of classes (10). Results may not be appropriate for your use case. To fix this, use a cross-validation technique resulting in properly stratified folds
RuntimeWarning)
ok
sklearn.model_selection.tests.test_validation.test_cross_val_predict_predict_proba_shape ... ok
sklearn.model_selection.tests.test_validation.test_cross_val_predict_predict_log_proba_shape ... ok
sklearn.model_selection.tests.test_validation.test_cross_val_predict_input_types ... <string>:2: DeprecationWarning: scipy.sparse.linalg.cg called without specifying `atol`. The default value will be changed in a future release. For compatibility, specify a value for `atol` explicitly, e.g., ``cg(..., atol=0)``, or to retain the old behavior ``cg(..., atol='legacy')``
<string>:2: DeprecationWarning: scipy.sparse.linalg.cg called without specifying `atol`. The default value will be changed in a future release. For compatibility, specify a value for `atol` explicitly, e.g., ``cg(..., atol=0)``, or to retain the old behavior ``cg(..., atol='legacy')``
<string>:2: DeprecationWarning: scipy.sparse.linalg.cg called without specifying `atol`. The default value will be changed in a future release. For compatibility, specify a value for `atol` explicitly, e.g., ``cg(..., atol=0)``, or to retain the old behavior ``cg(..., atol='legacy')``
<string>:2: DeprecationWarning: scipy.sparse.linalg.cg called without specifying `atol`. The default value will be changed in a future release. For compatibility, specify a value for `atol` explicitly, e.g., ``cg(..., atol=0)``, or to retain the old behavior ``cg(..., atol='legacy')``
<string>:2: DeprecationWarning: scipy.sparse.linalg.cg called without specifying `atol`. The default value will be changed in a future release. For compatibility, specify a value for `atol` explicitly, e.g., ``cg(..., atol=0)``, or to retain the old behavior ``cg(..., atol='legacy')``
<string>:2: DeprecationWarning: scipy.sparse.linalg.cg called without specifying `atol`. The default value will be changed in a future release. For compatibility, specify a value for `atol` explicitly, e.g., ``cg(..., atol=0)``, or to retain the old behavior ``cg(..., atol='legacy')``
<string>:2: DeprecationWarning: scipy.sparse.linalg.cg called without specifying `atol`. The default value will be changed in a future release. For compatibility, specify a value for `atol` explicitly, e.g., ``cg(..., atol=0)``, or to retain the old behavior ``cg(..., atol='legacy')``
<string>:2: DeprecationWarning: scipy.sparse.linalg.cg called without specifying `atol`. The default value will be changed in a future release. For compatibility, specify a value for `atol` explicitly, e.g., ``cg(..., atol=0)``, or to retain the old behavior ``cg(..., atol='legacy')``
<string>:2: DeprecationWarning: scipy.sparse.linalg.cg called without specifying `atol`. The default value will be changed in a future release. For compatibility, specify a value for `atol` explicitly, e.g., ``cg(..., atol=0)``, or to retain the old behavior ``cg(..., atol='legacy')``
ok
sklearn.model_selection.tests.test_validation.test_cross_val_predict_pandas ... ok
sklearn.model_selection.tests.test_validation.test_cross_val_score_sparse_fit_params ... ok
sklearn.model_selection.tests.test_validation.test_learning_curve ... ok
sklearn.model_selection.tests.test_validation.test_learning_curve_unsupervised ... ok
sklearn.model_selection.tests.test_validation.test_learning_curve_verbose ... [Parallel(n_jobs=1)]: Done 15 out of 15 | elapsed: 0.0s finished
ok
sklearn.model_selection.tests.test_validation.test_learning_curve_incremental_learning_not_possible ... ok
sklearn.model_selection.tests.test_validation.test_learning_curve_incremental_learning ... ok
sklearn.model_selection.tests.test_validation.test_learning_curve_incremental_learning_unsupervised ... ok
sklearn.model_selection.tests.test_validation.test_learning_curve_batch_and_incremental_learning_are_equal ... ok
sklearn.model_selection.tests.test_validation.test_learning_curve_n_sample_range_out_of_bounds ... ok
sklearn.model_selection.tests.test_validation.test_learning_curve_remove_duplicate_sample_sizes ... ok
sklearn.model_selection.tests.test_validation.test_learning_curve_with_boolean_indices ... ok
sklearn.model_selection.tests.test_validation.test_learning_curve_with_shuffle ... ok
sklearn.model_selection.tests.test_validation.test_validation_curve ... ok
sklearn.model_selection.tests.test_validation.test_validation_curve_clone_estimator ... ok
sklearn.model_selection.tests.test_validation.test_validation_curve_cv_splits_consistency ... ok
sklearn.model_selection.tests.test_validation.test_check_is_permutation ... ok
sklearn.model_selection.tests.test_validation.test_cross_val_predict_sparse_prediction ... ok
sklearn.model_selection.tests.test_validation.test_cross_val_predict_with_method ... ok
sklearn.model_selection.tests.test_validation.test_cross_val_predict_method_checking ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/stochastic_gradient.py:128: FutureWarning: max_iter and tol parameters have been added in <class 'sklearn.linear_model.stochastic_gradient.SGDClassifier'> in 0.19. If both are left unset, they default to max_iter=5 and tol=None. If tol is not None, max_iter defaults to max_iter=1000. From 0.21, default max_iter will be 1000, and default tol will be 1e-3.
"and default tol will be 1e-3." % type(self), FutureWarning)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/stochastic_gradient.py:128: FutureWarning: max_iter and tol parameters have been added in <class 'sklearn.linear_model.stochastic_gradient.SGDClassifier'> in 0.19. If both are left unset, they default to max_iter=5 and tol=None. If tol is not None, max_iter defaults to max_iter=1000. From 0.21, default max_iter will be 1000, and default tol will be 1e-3.
"and default tol will be 1e-3." % type(self), FutureWarning)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/stochastic_gradient.py:128: FutureWarning: max_iter and tol parameters have been added in <class 'sklearn.linear_model.stochastic_gradient.SGDClassifier'> in 0.19. If both are left unset, they default to max_iter=5 and tol=None. If tol is not None, max_iter defaults to max_iter=1000. From 0.21, default max_iter will be 1000, and default tol will be 1e-3.
"and default tol will be 1e-3." % type(self), FutureWarning)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/stochastic_gradient.py:128: FutureWarning: max_iter and tol parameters have been added in <class 'sklearn.linear_model.stochastic_gradient.SGDClassifier'> in 0.19. If both are left unset, they default to max_iter=5 and tol=None. If tol is not None, max_iter defaults to max_iter=1000. From 0.21, default max_iter will be 1000, and default tol will be 1e-3.
"and default tol will be 1e-3." % type(self), FutureWarning)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/stochastic_gradient.py:128: FutureWarning: max_iter and tol parameters have been added in <class 'sklearn.linear_model.stochastic_gradient.SGDClassifier'> in 0.19. If both are left unset, they default to max_iter=5 and tol=None. If tol is not None, max_iter defaults to max_iter=1000. From 0.21, default max_iter will be 1000, and default tol will be 1e-3.
"and default tol will be 1e-3." % type(self), FutureWarning)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/stochastic_gradient.py:128: FutureWarning: max_iter and tol parameters have been added in <class 'sklearn.linear_model.stochastic_gradient.SGDClassifier'> in 0.19. If both are left unset, they default to max_iter=5 and tol=None. If tol is not None, max_iter defaults to max_iter=1000. From 0.21, default max_iter will be 1000, and default tol will be 1e-3.
"and default tol will be 1e-3." % type(self), FutureWarning)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/stochastic_gradient.py:128: FutureWarning: max_iter and tol parameters have been added in <class 'sklearn.linear_model.stochastic_gradient.SGDClassifier'> in 0.19. If both are left unset, they default to max_iter=5 and tol=None. If tol is not None, max_iter defaults to max_iter=1000. From 0.21, default max_iter will be 1000, and default tol will be 1e-3.
"and default tol will be 1e-3." % type(self), FutureWarning)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/stochastic_gradient.py:128: FutureWarning: max_iter and tol parameters have been added in <class 'sklearn.linear_model.stochastic_gradient.SGDClassifier'> in 0.19. If both are left unset, they default to max_iter=5 and tol=None. If tol is not None, max_iter defaults to max_iter=1000. From 0.21, default max_iter will be 1000, and default tol will be 1e-3.
"and default tol will be 1e-3." % type(self), FutureWarning)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/stochastic_gradient.py:128: FutureWarning: max_iter and tol parameters have been added in <class 'sklearn.linear_model.stochastic_gradient.SGDClassifier'> in 0.19. If both are left unset, they default to max_iter=5 and tol=None. If tol is not None, max_iter defaults to max_iter=1000. From 0.21, default max_iter will be 1000, and default tol will be 1e-3.
"and default tol will be 1e-3." % type(self), FutureWarning)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/stochastic_gradient.py:128: FutureWarning: max_iter and tol parameters have been added in <class 'sklearn.linear_model.stochastic_gradient.SGDClassifier'> in 0.19. If both are left unset, they default to max_iter=5 and tol=None. If tol is not None, max_iter defaults to max_iter=1000. From 0.21, default max_iter will be 1000, and default tol will be 1e-3.
"and default tol will be 1e-3." % type(self), FutureWarning)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/stochastic_gradient.py:128: FutureWarning: max_iter and tol parameters have been added in <class 'sklearn.linear_model.stochastic_gradient.SGDClassifier'> in 0.19. If both are left unset, they default to max_iter=5 and tol=None. If tol is not None, max_iter defaults to max_iter=1000. From 0.21, default max_iter will be 1000, and default tol will be 1e-3.
"and default tol will be 1e-3." % type(self), FutureWarning)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/stochastic_gradient.py:128: FutureWarning: max_iter and tol parameters have been added in <class 'sklearn.linear_model.stochastic_gradient.SGDClassifier'> in 0.19. If both are left unset, they default to max_iter=5 and tol=None. If tol is not None, max_iter defaults to max_iter=1000. From 0.21, default max_iter will be 1000, and default tol will be 1e-3.
"and default tol will be 1e-3." % type(self), FutureWarning)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/stochastic_gradient.py:128: FutureWarning: max_iter and tol parameters have been added in <class 'sklearn.linear_model.stochastic_gradient.SGDClassifier'> in 0.19. If both are left unset, they default to max_iter=5 and tol=None. If tol is not None, max_iter defaults to max_iter=1000. From 0.21, default max_iter will be 1000, and default tol will be 1e-3.
"and default tol will be 1e-3." % type(self), FutureWarning)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/stochastic_gradient.py:128: FutureWarning: max_iter and tol parameters have been added in <class 'sklearn.linear_model.stochastic_gradient.SGDClassifier'> in 0.19. If both are left unset, they default to max_iter=5 and tol=None. If tol is not None, max_iter defaults to max_iter=1000. From 0.21, default max_iter will be 1000, and default tol will be 1e-3.
"and default tol will be 1e-3." % type(self), FutureWarning)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/stochastic_gradient.py:128: FutureWarning: max_iter and tol parameters have been added in <class 'sklearn.linear_model.stochastic_gradient.SGDClassifier'> in 0.19. If both are left unset, they default to max_iter=5 and tol=None. If tol is not None, max_iter defaults to max_iter=1000. From 0.21, default max_iter will be 1000, and default tol will be 1e-3.
"and default tol will be 1e-3." % type(self), FutureWarning)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/stochastic_gradient.py:128: FutureWarning: max_iter and tol parameters have been added in <class 'sklearn.linear_model.stochastic_gradient.SGDClassifier'> in 0.19. If both are left unset, they default to max_iter=5 and tol=None. If tol is not None, max_iter defaults to max_iter=1000. From 0.21, default max_iter will be 1000, and default tol will be 1e-3.
"and default tol will be 1e-3." % type(self), FutureWarning)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/base.py:340: RuntimeWarning: overflow encountered in exp
np.exp(prob, prob)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/stochastic_gradient.py:128: FutureWarning: max_iter and tol parameters have been added in <class 'sklearn.linear_model.stochastic_gradient.SGDClassifier'> in 0.19. If both are left unset, they default to max_iter=5 and tol=None. If tol is not None, max_iter defaults to max_iter=1000. From 0.21, default max_iter will be 1000, and default tol will be 1e-3.
"and default tol will be 1e-3." % type(self), FutureWarning)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/base.py:340: RuntimeWarning: overflow encountered in exp
np.exp(prob, prob)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/stochastic_gradient.py:128: FutureWarning: max_iter and tol parameters have been added in <class 'sklearn.linear_model.stochastic_gradient.SGDClassifier'> in 0.19. If both are left unset, they default to max_iter=5 and tol=None. If tol is not None, max_iter defaults to max_iter=1000. From 0.21, default max_iter will be 1000, and default tol will be 1e-3.
"and default tol will be 1e-3." % type(self), FutureWarning)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/base.py:340: RuntimeWarning: overflow encountered in exp
np.exp(prob, prob)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/stochastic_gradient.py:128: FutureWarning: max_iter and tol parameters have been added in <class 'sklearn.linear_model.stochastic_gradient.SGDClassifier'> in 0.19. If both are left unset, they default to max_iter=5 and tol=None. If tol is not None, max_iter defaults to max_iter=1000. From 0.21, default max_iter will be 1000, and default tol will be 1e-3.
"and default tol will be 1e-3." % type(self), FutureWarning)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/base.py:340: RuntimeWarning: overflow encountered in exp
np.exp(prob, prob)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/stochastic_gradient.py:128: FutureWarning: max_iter and tol parameters have been added in <class 'sklearn.linear_model.stochastic_gradient.SGDClassifier'> in 0.19. If both are left unset, they default to max_iter=5 and tol=None. If tol is not None, max_iter defaults to max_iter=1000. From 0.21, default max_iter will be 1000, and default tol will be 1e-3.
"and default tol will be 1e-3." % type(self), FutureWarning)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/base.py:340: RuntimeWarning: overflow encountered in exp
np.exp(prob, prob)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/stochastic_gradient.py:128: FutureWarning: max_iter and tol parameters have been added in <class 'sklearn.linear_model.stochastic_gradient.SGDClassifier'> in 0.19. If both are left unset, they default to max_iter=5 and tol=None. If tol is not None, max_iter defaults to max_iter=1000. From 0.21, default max_iter will be 1000, and default tol will be 1e-3.
"and default tol will be 1e-3." % type(self), FutureWarning)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/base.py:340: RuntimeWarning: overflow encountered in exp
np.exp(prob, prob)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/stochastic_gradient.py:128: FutureWarning: max_iter and tol parameters have been added in <class 'sklearn.linear_model.stochastic_gradient.SGDClassifier'> in 0.19. If both are left unset, they default to max_iter=5 and tol=None. If tol is not None, max_iter defaults to max_iter=1000. From 0.21, default max_iter will be 1000, and default tol will be 1e-3.
"and default tol will be 1e-3." % type(self), FutureWarning)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/base.py:340: RuntimeWarning: overflow encountered in exp
np.exp(prob, prob)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/stochastic_gradient.py:128: FutureWarning: max_iter and tol parameters have been added in <class 'sklearn.linear_model.stochastic_gradient.SGDClassifier'> in 0.19. If both are left unset, they default to max_iter=5 and tol=None. If tol is not None, max_iter defaults to max_iter=1000. From 0.21, default max_iter will be 1000, and default tol will be 1e-3.
"and default tol will be 1e-3." % type(self), FutureWarning)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/base.py:340: RuntimeWarning: overflow encountered in exp
np.exp(prob, prob)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/stochastic_gradient.py:128: FutureWarning: max_iter and tol parameters have been added in <class 'sklearn.linear_model.stochastic_gradient.SGDClassifier'> in 0.19. If both are left unset, they default to max_iter=5 and tol=None. If tol is not None, max_iter defaults to max_iter=1000. From 0.21, default max_iter will be 1000, and default tol will be 1e-3.
"and default tol will be 1e-3." % type(self), FutureWarning)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/base.py:340: RuntimeWarning: overflow encountered in exp
np.exp(prob, prob)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/stochastic_gradient.py:128: FutureWarning: max_iter and tol parameters have been added in <class 'sklearn.linear_model.stochastic_gradient.SGDClassifier'> in 0.19. If both are left unset, they default to max_iter=5 and tol=None. If tol is not None, max_iter defaults to max_iter=1000. From 0.21, default max_iter will be 1000, and default tol will be 1e-3.
"and default tol will be 1e-3." % type(self), FutureWarning)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/base.py:340: RuntimeWarning: overflow encountered in exp
np.exp(prob, prob)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/stochastic_gradient.py:128: FutureWarning: max_iter and tol parameters have been added in <class 'sklearn.linear_model.stochastic_gradient.SGDClassifier'> in 0.19. If both are left unset, they default to max_iter=5 and tol=None. If tol is not None, max_iter defaults to max_iter=1000. From 0.21, default max_iter will be 1000, and default tol will be 1e-3.
"and default tol will be 1e-3." % type(self), FutureWarning)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/base.py:340: RuntimeWarning: overflow encountered in exp
np.exp(prob, prob)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/stochastic_gradient.py:128: FutureWarning: max_iter and tol parameters have been added in <class 'sklearn.linear_model.stochastic_gradient.SGDClassifier'> in 0.19. If both are left unset, they default to max_iter=5 and tol=None. If tol is not None, max_iter defaults to max_iter=1000. From 0.21, default max_iter will be 1000, and default tol will be 1e-3.
"and default tol will be 1e-3." % type(self), FutureWarning)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/base.py:340: RuntimeWarning: overflow encountered in exp
np.exp(prob, prob)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/stochastic_gradient.py:128: FutureWarning: max_iter and tol parameters have been added in <class 'sklearn.linear_model.stochastic_gradient.SGDClassifier'> in 0.19. If both are left unset, they default to max_iter=5 and tol=None. If tol is not None, max_iter defaults to max_iter=1000. From 0.21, default max_iter will be 1000, and default tol will be 1e-3.
"and default tol will be 1e-3." % type(self), FutureWarning)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/base.py:340: RuntimeWarning: overflow encountered in exp
np.exp(prob, prob)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/stochastic_gradient.py:128: FutureWarning: max_iter and tol parameters have been added in <class 'sklearn.linear_model.stochastic_gradient.SGDClassifier'> in 0.19. If both are left unset, they default to max_iter=5 and tol=None. If tol is not None, max_iter defaults to max_iter=1000. From 0.21, default max_iter will be 1000, and default tol will be 1e-3.
"and default tol will be 1e-3." % type(self), FutureWarning)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/base.py:340: RuntimeWarning: overflow encountered in exp
np.exp(prob, prob)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/stochastic_gradient.py:128: FutureWarning: max_iter and tol parameters have been added in <class 'sklearn.linear_model.stochastic_gradient.SGDClassifier'> in 0.19. If both are left unset, they default to max_iter=5 and tol=None. If tol is not None, max_iter defaults to max_iter=1000. From 0.21, default max_iter will be 1000, and default tol will be 1e-3.
"and default tol will be 1e-3." % type(self), FutureWarning)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/base.py:340: RuntimeWarning: overflow encountered in exp
np.exp(prob, prob)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/stochastic_gradient.py:128: FutureWarning: max_iter and tol parameters have been added in <class 'sklearn.linear_model.stochastic_gradient.SGDClassifier'> in 0.19. If both are left unset, they default to max_iter=5 and tol=None. If tol is not None, max_iter defaults to max_iter=1000. From 0.21, default max_iter will be 1000, and default tol will be 1e-3.
"and default tol will be 1e-3." % type(self), FutureWarning)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/base.py:340: RuntimeWarning: overflow encountered in exp
np.exp(prob, prob)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/stochastic_gradient.py:904: RuntimeWarning: divide by zero encountered in log
return np.log(self.predict_proba(X))
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/stochastic_gradient.py:128: FutureWarning: max_iter and tol parameters have been added in <class 'sklearn.linear_model.stochastic_gradient.SGDClassifier'> in 0.19. If both are left unset, they default to max_iter=5 and tol=None. If tol is not None, max_iter defaults to max_iter=1000. From 0.21, default max_iter will be 1000, and default tol will be 1e-3.
"and default tol will be 1e-3." % type(self), FutureWarning)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/base.py:340: RuntimeWarning: overflow encountered in exp
np.exp(prob, prob)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/stochastic_gradient.py:904: RuntimeWarning: divide by zero encountered in log
return np.log(self.predict_proba(X))
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/stochastic_gradient.py:128: FutureWarning: max_iter and tol parameters have been added in <class 'sklearn.linear_model.stochastic_gradient.SGDClassifier'> in 0.19. If both are left unset, they default to max_iter=5 and tol=None. If tol is not None, max_iter defaults to max_iter=1000. From 0.21, default max_iter will be 1000, and default tol will be 1e-3.
"and default tol will be 1e-3." % type(self), FutureWarning)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/base.py:340: RuntimeWarning: overflow encountered in exp
np.exp(prob, prob)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/stochastic_gradient.py:904: RuntimeWarning: divide by zero encountered in log
return np.log(self.predict_proba(X))
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/stochastic_gradient.py:128: FutureWarning: max_iter and tol parameters have been added in <class 'sklearn.linear_model.stochastic_gradient.SGDClassifier'> in 0.19. If both are left unset, they default to max_iter=5 and tol=None. If tol is not None, max_iter defaults to max_iter=1000. From 0.21, default max_iter will be 1000, and default tol will be 1e-3.
"and default tol will be 1e-3." % type(self), FutureWarning)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/base.py:340: RuntimeWarning: overflow encountered in exp
np.exp(prob, prob)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/stochastic_gradient.py:904: RuntimeWarning: divide by zero encountered in log
return np.log(self.predict_proba(X))
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/stochastic_gradient.py:128: FutureWarning: max_iter and tol parameters have been added in <class 'sklearn.linear_model.stochastic_gradient.SGDClassifier'> in 0.19. If both are left unset, they default to max_iter=5 and tol=None. If tol is not None, max_iter defaults to max_iter=1000. From 0.21, default max_iter will be 1000, and default tol will be 1e-3.
"and default tol will be 1e-3." % type(self), FutureWarning)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/base.py:340: RuntimeWarning: overflow encountered in exp
np.exp(prob, prob)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/stochastic_gradient.py:904: RuntimeWarning: divide by zero encountered in log
return np.log(self.predict_proba(X))
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/stochastic_gradient.py:128: FutureWarning: max_iter and tol parameters have been added in <class 'sklearn.linear_model.stochastic_gradient.SGDClassifier'> in 0.19. If both are left unset, they default to max_iter=5 and tol=None. If tol is not None, max_iter defaults to max_iter=1000. From 0.21, default max_iter will be 1000, and default tol will be 1e-3.
"and default tol will be 1e-3." % type(self), FutureWarning)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/base.py:340: RuntimeWarning: overflow encountered in exp
np.exp(prob, prob)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/stochastic_gradient.py:904: RuntimeWarning: divide by zero encountered in log
return np.log(self.predict_proba(X))
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/stochastic_gradient.py:128: FutureWarning: max_iter and tol parameters have been added in <class 'sklearn.linear_model.stochastic_gradient.SGDClassifier'> in 0.19. If both are left unset, they default to max_iter=5 and tol=None. If tol is not None, max_iter defaults to max_iter=1000. From 0.21, default max_iter will be 1000, and default tol will be 1e-3.
"and default tol will be 1e-3." % type(self), FutureWarning)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/base.py:340: RuntimeWarning: overflow encountered in exp
np.exp(prob, prob)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/stochastic_gradient.py:904: RuntimeWarning: divide by zero encountered in log
return np.log(self.predict_proba(X))
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/stochastic_gradient.py:128: FutureWarning: max_iter and tol parameters have been added in <class 'sklearn.linear_model.stochastic_gradient.SGDClassifier'> in 0.19. If both are left unset, they default to max_iter=5 and tol=None. If tol is not None, max_iter defaults to max_iter=1000. From 0.21, default max_iter will be 1000, and default tol will be 1e-3.
"and default tol will be 1e-3." % type(self), FutureWarning)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/base.py:340: RuntimeWarning: overflow encountered in exp
np.exp(prob, prob)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/stochastic_gradient.py:904: RuntimeWarning: divide by zero encountered in log
return np.log(self.predict_proba(X))
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/stochastic_gradient.py:128: FutureWarning: max_iter and tol parameters have been added in <class 'sklearn.linear_model.stochastic_gradient.SGDClassifier'> in 0.19. If both are left unset, they default to max_iter=5 and tol=None. If tol is not None, max_iter defaults to max_iter=1000. From 0.21, default max_iter will be 1000, and default tol will be 1e-3.
"and default tol will be 1e-3." % type(self), FutureWarning)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/base.py:340: RuntimeWarning: overflow encountered in exp
np.exp(prob, prob)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/stochastic_gradient.py:904: RuntimeWarning: divide by zero encountered in log
return np.log(self.predict_proba(X))
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/stochastic_gradient.py:128: FutureWarning: max_iter and tol parameters have been added in <class 'sklearn.linear_model.stochastic_gradient.SGDClassifier'> in 0.19. If both are left unset, they default to max_iter=5 and tol=None. If tol is not None, max_iter defaults to max_iter=1000. From 0.21, default max_iter will be 1000, and default tol will be 1e-3.
"and default tol will be 1e-3." % type(self), FutureWarning)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/base.py:340: RuntimeWarning: overflow encountered in exp
np.exp(prob, prob)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/stochastic_gradient.py:904: RuntimeWarning: divide by zero encountered in log
return np.log(self.predict_proba(X))
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/stochastic_gradient.py:128: FutureWarning: max_iter and tol parameters have been added in <class 'sklearn.linear_model.stochastic_gradient.SGDClassifier'> in 0.19. If both are left unset, they default to max_iter=5 and tol=None. If tol is not None, max_iter defaults to max_iter=1000. From 0.21, default max_iter will be 1000, and default tol will be 1e-3.
"and default tol will be 1e-3." % type(self), FutureWarning)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/base.py:340: RuntimeWarning: overflow encountered in exp
np.exp(prob, prob)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/stochastic_gradient.py:904: RuntimeWarning: divide by zero encountered in log
return np.log(self.predict_proba(X))
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/stochastic_gradient.py:128: FutureWarning: max_iter and tol parameters have been added in <class 'sklearn.linear_model.stochastic_gradient.SGDClassifier'> in 0.19. If both are left unset, they default to max_iter=5 and tol=None. If tol is not None, max_iter defaults to max_iter=1000. From 0.21, default max_iter will be 1000, and default tol will be 1e-3.
"and default tol will be 1e-3." % type(self), FutureWarning)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/base.py:340: RuntimeWarning: overflow encountered in exp
np.exp(prob, prob)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/stochastic_gradient.py:904: RuntimeWarning: divide by zero encountered in log
return np.log(self.predict_proba(X))
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/stochastic_gradient.py:128: FutureWarning: max_iter and tol parameters have been added in <class 'sklearn.linear_model.stochastic_gradient.SGDClassifier'> in 0.19. If both are left unset, they default to max_iter=5 and tol=None. If tol is not None, max_iter defaults to max_iter=1000. From 0.21, default max_iter will be 1000, and default tol will be 1e-3.
"and default tol will be 1e-3." % type(self), FutureWarning)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/base.py:340: RuntimeWarning: overflow encountered in exp
np.exp(prob, prob)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/stochastic_gradient.py:904: RuntimeWarning: divide by zero encountered in log
return np.log(self.predict_proba(X))
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/stochastic_gradient.py:128: FutureWarning: max_iter and tol parameters have been added in <class 'sklearn.linear_model.stochastic_gradient.SGDClassifier'> in 0.19. If both are left unset, they default to max_iter=5 and tol=None. If tol is not None, max_iter defaults to max_iter=1000. From 0.21, default max_iter will be 1000, and default tol will be 1e-3.
"and default tol will be 1e-3." % type(self), FutureWarning)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/base.py:340: RuntimeWarning: overflow encountered in exp
np.exp(prob, prob)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/stochastic_gradient.py:904: RuntimeWarning: divide by zero encountered in log
return np.log(self.predict_proba(X))
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/stochastic_gradient.py:128: FutureWarning: max_iter and tol parameters have been added in <class 'sklearn.linear_model.stochastic_gradient.SGDClassifier'> in 0.19. If both are left unset, they default to max_iter=5 and tol=None. If tol is not None, max_iter defaults to max_iter=1000. From 0.21, default max_iter will be 1000, and default tol will be 1e-3.
"and default tol will be 1e-3." % type(self), FutureWarning)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/base.py:340: RuntimeWarning: overflow encountered in exp
np.exp(prob, prob)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/stochastic_gradient.py:904: RuntimeWarning: divide by zero encountered in log
return np.log(self.predict_proba(X))
ok
sklearn.model_selection.tests.test_validation.test_gridsearchcv_cross_val_predict_with_method ... ok
sklearn.model_selection.tests.test_validation.test_cross_val_predict_class_subset ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/model_selection/_validation.py:768: RuntimeWarning: Number of classes in training fold (7) does not match total number of classes (10). Results may not be appropriate for your use case. To fix this, use a cross-validation technique resulting in properly stratified folds
RuntimeWarning)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/model_selection/_validation.py:768: RuntimeWarning: Number of classes in training fold (8) does not match total number of classes (10). Results may not be appropriate for your use case. To fix this, use a cross-validation technique resulting in properly stratified folds
RuntimeWarning)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/model_selection/_validation.py:768: RuntimeWarning: Number of classes in training fold (7) does not match total number of classes (10). Results may not be appropriate for your use case. To fix this, use a cross-validation technique resulting in properly stratified folds
RuntimeWarning)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/model_selection/_validation.py:768: RuntimeWarning: Number of classes in training fold (8) does not match total number of classes (10). Results may not be appropriate for your use case. To fix this, use a cross-validation technique resulting in properly stratified folds
RuntimeWarning)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/model_selection/_validation.py:768: RuntimeWarning: Number of classes in training fold (8) does not match total number of classes (10). Results may not be appropriate for your use case. To fix this, use a cross-validation technique resulting in properly stratified folds
RuntimeWarning)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/model_selection/_validation.py:768: RuntimeWarning: Number of classes in training fold (8) does not match total number of classes (10). Results may not be appropriate for your use case. To fix this, use a cross-validation technique resulting in properly stratified folds
RuntimeWarning)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/model_selection/_validation.py:768: RuntimeWarning: Number of classes in training fold (8) does not match total number of classes (10). Results may not be appropriate for your use case. To fix this, use a cross-validation technique resulting in properly stratified folds
RuntimeWarning)
ok
sklearn.model_selection.tests.test_validation.test_score_memmap ... ok
sklearn.model_selection.tests.test_validation.test_permutation_test_score_pandas ... ok
sklearn.neighbors.tests.test_approximate.test_lsh_forest_deprecation ... ok
sklearn.neighbors.tests.test_approximate.test_neighbors_accuracy_with_n_candidates ... ok
sklearn.neighbors.tests.test_approximate.test_neighbors_accuracy_with_n_estimators ... ok
sklearn.neighbors.tests.test_approximate.test_radius_neighbors ... ok
sklearn.neighbors.tests.test_approximate.test_kneighbors ... ok
sklearn.neighbors.tests.test_approximate.test_radius_neighbors_boundary_handling ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/random_projection.py:378: DataDimensionalityWarning: The number of components is higher than the number of features: n_features < n_components (2 < 32).The dimensionality of the problem will not be reduced.
DataDimensionalityWarning)
ok
sklearn.neighbors.tests.test_approximate.test_distances ... ok
sklearn.neighbors.tests.test_approximate.test_fit ... ok
sklearn.neighbors.tests.test_approximate.test_partial_fit ... ok
sklearn.neighbors.tests.test_approximate.test_hash_functions ... ok
sklearn.neighbors.tests.test_approximate.test_candidates ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/neighbors/approximate.py:291: UserWarning: Number of candidates is not sufficient to retrieve 3 neighbors with min_hash_match = 32. Candidates are filled up uniformly from unselected indices.
" indices." % (n_neighbors, self.min_hash_match))
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/neighbors/approximate.py:291: UserWarning: Number of candidates is not sufficient to retrieve 5 neighbors with min_hash_match = 31. Candidates are filled up uniformly from unselected indices.
" indices." % (n_neighbors, self.min_hash_match))
ok
sklearn.neighbors.tests.test_approximate.test_graphs ... ok
sklearn.neighbors.tests.test_approximate.test_sparse_input ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_query(True, True, 1, 'euclidean', {}) ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_query(True, False, 1, 'euclidean', {}) ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_query(False, True, 1, 'euclidean', {}) ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_query(False, False, 1, 'euclidean', {}) ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_query(True, True, 3, 'euclidean', {}) ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_query(True, False, 3, 'euclidean', {}) ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_query(False, True, 3, 'euclidean', {}) ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_query(False, False, 3, 'euclidean', {}) ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_query(True, True, 5, 'euclidean', {}) ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_query(True, False, 5, 'euclidean', {}) ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_query(False, True, 5, 'euclidean', {}) ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_query(False, False, 5, 'euclidean', {}) ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_query(True, True, 1, 'manhattan', {}) ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_query(True, False, 1, 'manhattan', {}) ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_query(False, True, 1, 'manhattan', {}) ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_query(False, False, 1, 'manhattan', {}) ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_query(True, True, 3, 'manhattan', {}) ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_query(True, False, 3, 'manhattan', {}) ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_query(False, True, 3, 'manhattan', {}) ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_query(False, False, 3, 'manhattan', {}) ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_query(True, True, 5, 'manhattan', {}) ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_query(True, False, 5, 'manhattan', {}) ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_query(False, True, 5, 'manhattan', {}) ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_query(False, False, 5, 'manhattan', {}) ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_query(True, True, 1, 'minkowski', {'p': 3}) ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_query(True, False, 1, 'minkowski', {'p': 3}) ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_query(False, True, 1, 'minkowski', {'p': 3}) ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_query(False, False, 1, 'minkowski', {'p': 3}) ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_query(True, True, 3, 'minkowski', {'p': 3}) ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_query(True, False, 3, 'minkowski', {'p': 3}) ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_query(False, True, 3, 'minkowski', {'p': 3}) ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_query(False, False, 3, 'minkowski', {'p': 3}) ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_query(True, True, 5, 'minkowski', {'p': 3}) ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_query(True, False, 5, 'minkowski', {'p': 3}) ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_query(False, True, 5, 'minkowski', {'p': 3}) ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_query(False, False, 5, 'minkowski', {'p': 3}) ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_query(True, True, 1, 'chebyshev', {}) ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_query(True, False, 1, 'chebyshev', {}) ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_query(False, True, 1, 'chebyshev', {}) ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_query(False, False, 1, 'chebyshev', {}) ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_query(True, True, 3, 'chebyshev', {}) ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_query(True, False, 3, 'chebyshev', {}) ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_query(False, True, 3, 'chebyshev', {}) ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_query(False, False, 3, 'chebyshev', {}) ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_query(True, True, 5, 'chebyshev', {}) ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_query(True, False, 5, 'chebyshev', {}) ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_query(False, True, 5, 'chebyshev', {}) ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_query(False, False, 5, 'chebyshev', {}) ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_query(True, True, 1, 'seuclidean', {'V': array([0.08833981, 0.68535982, 0.95339335])}) ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_query(True, False, 1, 'seuclidean', {'V': array([0.08833981, 0.68535982, 0.95339335])}) ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_query(False, True, 1, 'seuclidean', {'V': array([0.08833981, 0.68535982, 0.95339335])}) ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_query(False, False, 1, 'seuclidean', {'V': array([0.08833981, 0.68535982, 0.95339335])}) ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_query(True, True, 3, 'seuclidean', {'V': array([0.08833981, 0.68535982, 0.95339335])}) ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_query(True, False, 3, 'seuclidean', {'V': array([0.08833981, 0.68535982, 0.95339335])}) ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_query(False, True, 3, 'seuclidean', {'V': array([0.08833981, 0.68535982, 0.95339335])}) ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_query(False, False, 3, 'seuclidean', {'V': array([0.08833981, 0.68535982, 0.95339335])}) ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_query(True, True, 5, 'seuclidean', {'V': array([0.08833981, 0.68535982, 0.95339335])}) ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_query(True, False, 5, 'seuclidean', {'V': array([0.08833981, 0.68535982, 0.95339335])}) ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_query(False, True, 5, 'seuclidean', {'V': array([0.08833981, 0.68535982, 0.95339335])}) ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_query(False, False, 5, 'seuclidean', {'V': array([0.08833981, 0.68535982, 0.95339335])}) ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_query(True, True, 1, 'wminkowski', {'p': 3, 'w': array([0.00394827, 0.51219226, 0.81262096])}) ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_query(True, False, 1, 'wminkowski', {'p': 3, 'w': array([0.00394827, 0.51219226, 0.81262096])}) ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_query(False, True, 1, 'wminkowski', {'p': 3, 'w': array([0.00394827, 0.51219226, 0.81262096])}) ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_query(False, False, 1, 'wminkowski', {'p': 3, 'w': array([0.00394827, 0.51219226, 0.81262096])}) ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_query(True, True, 3, 'wminkowski', {'p': 3, 'w': array([0.00394827, 0.51219226, 0.81262096])}) ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_query(True, False, 3, 'wminkowski', {'p': 3, 'w': array([0.00394827, 0.51219226, 0.81262096])}) ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_query(False, True, 3, 'wminkowski', {'p': 3, 'w': array([0.00394827, 0.51219226, 0.81262096])}) ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_query(False, False, 3, 'wminkowski', {'p': 3, 'w': array([0.00394827, 0.51219226, 0.81262096])}) ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_query(True, True, 5, 'wminkowski', {'p': 3, 'w': array([0.00394827, 0.51219226, 0.81262096])}) ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_query(True, False, 5, 'wminkowski', {'p': 3, 'w': array([0.00394827, 0.51219226, 0.81262096])}) ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_query(False, True, 5, 'wminkowski', {'p': 3, 'w': array([0.00394827, 0.51219226, 0.81262096])}) ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_query(False, False, 5, 'wminkowski', {'p': 3, 'w': array([0.00394827, 0.51219226, 0.81262096])}) ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_query(True, True, 1, 'mahalanobis', {'V': array([[0.99687626, 0.73035488, 0.27570925], ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_query(True, False, 1, 'mahalanobis', {'V': array([[0.99687626, 0.73035488, 0.27570925], ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_query(False, True, 1, 'mahalanobis', {'V': array([[0.99687626, 0.73035488, 0.27570925], ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_query(False, False, 1, 'mahalanobis', {'V': array([[0.99687626, 0.73035488, 0.27570925], ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_query(True, True, 3, 'mahalanobis', {'V': array([[0.99687626, 0.73035488, 0.27570925], ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_query(True, False, 3, 'mahalanobis', {'V': array([[0.99687626, 0.73035488, 0.27570925], ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_query(False, True, 3, 'mahalanobis', {'V': array([[0.99687626, 0.73035488, 0.27570925], ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_query(False, False, 3, 'mahalanobis', {'V': array([[0.99687626, 0.73035488, 0.27570925], ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_query(True, True, 5, 'mahalanobis', {'V': array([[0.99687626, 0.73035488, 0.27570925], ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_query(True, False, 5, 'mahalanobis', {'V': array([[0.99687626, 0.73035488, 0.27570925], ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_query(False, True, 5, 'mahalanobis', {'V': array([[0.99687626, 0.73035488, 0.27570925], ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_query(False, False, 5, 'mahalanobis', {'V': array([[0.99687626, 0.73035488, 0.27570925], ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_query_boolean_metrics('matching',) ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_query_boolean_metrics('jaccard',) ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_query_boolean_metrics('dice',) ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_query_boolean_metrics('kulsinski',) ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_query_boolean_metrics('rogerstanimoto',) ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_query_boolean_metrics('russellrao',) ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_query_boolean_metrics('sokalmichener',) ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_query_boolean_metrics('sokalsneath',) ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_query_discrete_metrics('hamming',) ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_query_discrete_metrics('canberra',) ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_query_discrete_metrics('braycurtis',) ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_query_radius ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_query_radius_distance ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/neighbors/tests/test_ball_tree.py:145: RuntimeWarning: underflow encountered in exp
return norm * np.exp(-0.5 * (d * d) / (h * h)).sum(-1)
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('gaussian', 0.01, 1e-06, 0, True, <sklearn.neighbors.ball_tree.BallTree object at 0xf0ddb030>, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('gaussian', 0.01, 1e-06, 0, False, <sklearn.neighbors.ball_tree.BallTree object at 0xf0ddb030>, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('gaussian', 0.01, 0.01, 0, True, <sklearn.neighbors.ball_tree.BallTree object at 0xf0ddb030>, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('gaussian', 0.01, 0.01, 0, False, <sklearn.neighbors.ball_tree.BallTree object at 0xf0ddb030>, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('gaussian', 0.01, 1e-06, 1e-05, True, <sklearn.neighbors.ball_tree.BallTree object at 0xf0ddb030>, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('gaussian', 0.01, 1e-06, 1e-05, False, <sklearn.neighbors.ball_tree.BallTree object at 0xf0ddb030>, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('gaussian', 0.01, 0.01, 1e-05, True, <sklearn.neighbors.ball_tree.BallTree object at 0xf0ddb030>, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('gaussian', 0.01, 0.01, 1e-05, False, <sklearn.neighbors.ball_tree.BallTree object at 0xf0ddb030>, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('gaussian', 0.1, 1e-06, 0, True, <sklearn.neighbors.ball_tree.BallTree object at 0xf0ddb030>, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('gaussian', 0.1, 1e-06, 0, False, <sklearn.neighbors.ball_tree.BallTree object at 0xf0ddb030>, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('gaussian', 0.1, 0.01, 0, True, <sklearn.neighbors.ball_tree.BallTree object at 0xf0ddb030>, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('gaussian', 0.1, 0.01, 0, False, <sklearn.neighbors.ball_tree.BallTree object at 0xf0ddb030>, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('gaussian', 0.1, 1e-06, 1e-05, True, <sklearn.neighbors.ball_tree.BallTree object at 0xf0ddb030>, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('gaussian', 0.1, 1e-06, 1e-05, False, <sklearn.neighbors.ball_tree.BallTree object at 0xf0ddb030>, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('gaussian', 0.1, 0.01, 1e-05, True, <sklearn.neighbors.ball_tree.BallTree object at 0xf0ddb030>, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('gaussian', 0.1, 0.01, 1e-05, False, <sklearn.neighbors.ball_tree.BallTree object at 0xf0ddb030>, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('gaussian', 1, 1e-06, 0, True, <sklearn.neighbors.ball_tree.BallTree object at 0xf0ddb030>, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('gaussian', 1, 1e-06, 0, False, <sklearn.neighbors.ball_tree.BallTree object at 0xf0ddb030>, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('gaussian', 1, 0.01, 0, True, <sklearn.neighbors.ball_tree.BallTree object at 0xf0ddb030>, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('gaussian', 1, 0.01, 0, False, <sklearn.neighbors.ball_tree.BallTree object at 0xf0ddb030>, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('gaussian', 1, 1e-06, 1e-05, True, <sklearn.neighbors.ball_tree.BallTree object at 0xf0ddb030>, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('gaussian', 1, 1e-06, 1e-05, False, <sklearn.neighbors.ball_tree.BallTree object at 0xf0ddb030>, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('gaussian', 1, 0.01, 1e-05, True, <sklearn.neighbors.ball_tree.BallTree object at 0xf0ddb030>, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('gaussian', 1, 0.01, 1e-05, False, <sklearn.neighbors.ball_tree.BallTree object at 0xf0ddb030>, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('tophat', 0.01, 1e-06, 0, True, <sklearn.neighbors.ball_tree.BallTree object at 0xf0ddb030>, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('tophat', 0.01, 1e-06, 0, False, <sklearn.neighbors.ball_tree.BallTree object at 0xf0ddb030>, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('tophat', 0.01, 0.01, 0, True, <sklearn.neighbors.ball_tree.BallTree object at 0xf0ddb030>, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('tophat', 0.01, 0.01, 0, False, <sklearn.neighbors.ball_tree.BallTree object at 0xf0ddb030>, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('tophat', 0.01, 1e-06, 1e-05, True, <sklearn.neighbors.ball_tree.BallTree object at 0xf0ddb030>, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('tophat', 0.01, 1e-06, 1e-05, False, <sklearn.neighbors.ball_tree.BallTree object at 0xf0ddb030>, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('tophat', 0.01, 0.01, 1e-05, True, <sklearn.neighbors.ball_tree.BallTree object at 0xf0ddb030>, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('tophat', 0.01, 0.01, 1e-05, False, <sklearn.neighbors.ball_tree.BallTree object at 0xf0ddb030>, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('tophat', 0.1, 1e-06, 0, True, <sklearn.neighbors.ball_tree.BallTree object at 0xf0ddb030>, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('tophat', 0.1, 1e-06, 0, False, <sklearn.neighbors.ball_tree.BallTree object at 0xf0ddb030>, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('tophat', 0.1, 0.01, 0, True, <sklearn.neighbors.ball_tree.BallTree object at 0xf0ddb030>, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('tophat', 0.1, 0.01, 0, False, <sklearn.neighbors.ball_tree.BallTree object at 0xf0ddb030>, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('tophat', 0.1, 1e-06, 1e-05, True, <sklearn.neighbors.ball_tree.BallTree object at 0xf0ddb030>, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('tophat', 0.1, 1e-06, 1e-05, False, <sklearn.neighbors.ball_tree.BallTree object at 0xf0ddb030>, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('tophat', 0.1, 0.01, 1e-05, True, <sklearn.neighbors.ball_tree.BallTree object at 0xf0ddb030>, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('tophat', 0.1, 0.01, 1e-05, False, <sklearn.neighbors.ball_tree.BallTree object at 0xf0ddb030>, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('tophat', 1, 1e-06, 0, True, <sklearn.neighbors.ball_tree.BallTree object at 0xf0ddb030>, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('tophat', 1, 1e-06, 0, False, <sklearn.neighbors.ball_tree.BallTree object at 0xf0ddb030>, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('tophat', 1, 0.01, 0, True, <sklearn.neighbors.ball_tree.BallTree object at 0xf0ddb030>, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('tophat', 1, 0.01, 0, False, <sklearn.neighbors.ball_tree.BallTree object at 0xf0ddb030>, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('tophat', 1, 1e-06, 1e-05, True, <sklearn.neighbors.ball_tree.BallTree object at 0xf0ddb030>, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('tophat', 1, 1e-06, 1e-05, False, <sklearn.neighbors.ball_tree.BallTree object at 0xf0ddb030>, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('tophat', 1, 0.01, 1e-05, True, <sklearn.neighbors.ball_tree.BallTree object at 0xf0ddb030>, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('tophat', 1, 0.01, 1e-05, False, <sklearn.neighbors.ball_tree.BallTree object at 0xf0ddb030>, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('epanechnikov', 0.01, 1e-06, 0, True, <sklearn.neighbors.ball_tree.BallTree object at 0xf0ddb030>, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('epanechnikov', 0.01, 1e-06, 0, False, <sklearn.neighbors.ball_tree.BallTree object at 0xf0ddb030>, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('epanechnikov', 0.01, 0.01, 0, True, <sklearn.neighbors.ball_tree.BallTree object at 0xf0ddb030>, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('epanechnikov', 0.01, 0.01, 0, False, <sklearn.neighbors.ball_tree.BallTree object at 0xf0ddb030>, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('epanechnikov', 0.01, 1e-06, 1e-05, True, <sklearn.neighbors.ball_tree.BallTree object at 0xf0ddb030>, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('epanechnikov', 0.01, 1e-06, 1e-05, False, <sklearn.neighbors.ball_tree.BallTree object at 0xf0ddb030>, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('epanechnikov', 0.01, 0.01, 1e-05, True, <sklearn.neighbors.ball_tree.BallTree object at 0xf0ddb030>, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('epanechnikov', 0.01, 0.01, 1e-05, False, <sklearn.neighbors.ball_tree.BallTree object at 0xf0ddb030>, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('epanechnikov', 0.1, 1e-06, 0, True, <sklearn.neighbors.ball_tree.BallTree object at 0xf0ddb030>, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('epanechnikov', 0.1, 1e-06, 0, False, <sklearn.neighbors.ball_tree.BallTree object at 0xf0ddb030>, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('epanechnikov', 0.1, 0.01, 0, True, <sklearn.neighbors.ball_tree.BallTree object at 0xf0ddb030>, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('epanechnikov', 0.1, 0.01, 0, False, <sklearn.neighbors.ball_tree.BallTree object at 0xf0ddb030>, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('epanechnikov', 0.1, 1e-06, 1e-05, True, <sklearn.neighbors.ball_tree.BallTree object at 0xf0ddb030>, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('epanechnikov', 0.1, 1e-06, 1e-05, False, <sklearn.neighbors.ball_tree.BallTree object at 0xf0ddb030>, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('epanechnikov', 0.1, 0.01, 1e-05, True, <sklearn.neighbors.ball_tree.BallTree object at 0xf0ddb030>, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('epanechnikov', 0.1, 0.01, 1e-05, False, <sklearn.neighbors.ball_tree.BallTree object at 0xf0ddb030>, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('epanechnikov', 1, 1e-06, 0, True, <sklearn.neighbors.ball_tree.BallTree object at 0xf0ddb030>, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('epanechnikov', 1, 1e-06, 0, False, <sklearn.neighbors.ball_tree.BallTree object at 0xf0ddb030>, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('epanechnikov', 1, 0.01, 0, True, <sklearn.neighbors.ball_tree.BallTree object at 0xf0ddb030>, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('epanechnikov', 1, 0.01, 0, False, <sklearn.neighbors.ball_tree.BallTree object at 0xf0ddb030>, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('epanechnikov', 1, 1e-06, 1e-05, True, <sklearn.neighbors.ball_tree.BallTree object at 0xf0ddb030>, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('epanechnikov', 1, 1e-06, 1e-05, False, <sklearn.neighbors.ball_tree.BallTree object at 0xf0ddb030>, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('epanechnikov', 1, 0.01, 1e-05, True, <sklearn.neighbors.ball_tree.BallTree object at 0xf0ddb030>, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('epanechnikov', 1, 0.01, 1e-05, False, <sklearn.neighbors.ball_tree.BallTree object at 0xf0ddb030>, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('exponential', 0.01, 1e-06, 0, True, <sklearn.neighbors.ball_tree.BallTree object at 0xf0ddb030>, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('exponential', 0.01, 1e-06, 0, False, <sklearn.neighbors.ball_tree.BallTree object at 0xf0ddb030>, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('exponential', 0.01, 0.01, 0, True, <sklearn.neighbors.ball_tree.BallTree object at 0xf0ddb030>, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('exponential', 0.01, 0.01, 0, False, <sklearn.neighbors.ball_tree.BallTree object at 0xf0ddb030>, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('exponential', 0.01, 1e-06, 1e-05, True, <sklearn.neighbors.ball_tree.BallTree object at 0xf0ddb030>, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('exponential', 0.01, 1e-06, 1e-05, False, <sklearn.neighbors.ball_tree.BallTree object at 0xf0ddb030>, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('exponential', 0.01, 0.01, 1e-05, True, <sklearn.neighbors.ball_tree.BallTree object at 0xf0ddb030>, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('exponential', 0.01, 0.01, 1e-05, False, <sklearn.neighbors.ball_tree.BallTree object at 0xf0ddb030>, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('exponential', 0.1, 1e-06, 0, True, <sklearn.neighbors.ball_tree.BallTree object at 0xf0ddb030>, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('exponential', 0.1, 1e-06, 0, False, <sklearn.neighbors.ball_tree.BallTree object at 0xf0ddb030>, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('exponential', 0.1, 0.01, 0, True, <sklearn.neighbors.ball_tree.BallTree object at 0xf0ddb030>, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('exponential', 0.1, 0.01, 0, False, <sklearn.neighbors.ball_tree.BallTree object at 0xf0ddb030>, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('exponential', 0.1, 1e-06, 1e-05, True, <sklearn.neighbors.ball_tree.BallTree object at 0xf0ddb030>, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('exponential', 0.1, 1e-06, 1e-05, False, <sklearn.neighbors.ball_tree.BallTree object at 0xf0ddb030>, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('exponential', 0.1, 0.01, 1e-05, True, <sklearn.neighbors.ball_tree.BallTree object at 0xf0ddb030>, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('exponential', 0.1, 0.01, 1e-05, False, <sklearn.neighbors.ball_tree.BallTree object at 0xf0ddb030>, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('exponential', 1, 1e-06, 0, True, <sklearn.neighbors.ball_tree.BallTree object at 0xf0ddb030>, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('exponential', 1, 1e-06, 0, False, <sklearn.neighbors.ball_tree.BallTree object at 0xf0ddb030>, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('exponential', 1, 0.01, 0, True, <sklearn.neighbors.ball_tree.BallTree object at 0xf0ddb030>, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('exponential', 1, 0.01, 0, False, <sklearn.neighbors.ball_tree.BallTree object at 0xf0ddb030>, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('exponential', 1, 1e-06, 1e-05, True, <sklearn.neighbors.ball_tree.BallTree object at 0xf0ddb030>, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('exponential', 1, 1e-06, 1e-05, False, <sklearn.neighbors.ball_tree.BallTree object at 0xf0ddb030>, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('exponential', 1, 0.01, 1e-05, True, <sklearn.neighbors.ball_tree.BallTree object at 0xf0ddb030>, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('exponential', 1, 0.01, 1e-05, False, <sklearn.neighbors.ball_tree.BallTree object at 0xf0ddb030>, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('linear', 0.01, 1e-06, 0, True, <sklearn.neighbors.ball_tree.BallTree object at 0xf0ddb030>, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('linear', 0.01, 1e-06, 0, False, <sklearn.neighbors.ball_tree.BallTree object at 0xf0ddb030>, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('linear', 0.01, 0.01, 0, True, <sklearn.neighbors.ball_tree.BallTree object at 0xf0ddb030>, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('linear', 0.01, 0.01, 0, False, <sklearn.neighbors.ball_tree.BallTree object at 0xf0ddb030>, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('linear', 0.01, 1e-06, 1e-05, True, <sklearn.neighbors.ball_tree.BallTree object at 0xf0ddb030>, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('linear', 0.01, 1e-06, 1e-05, False, <sklearn.neighbors.ball_tree.BallTree object at 0xf0ddb030>, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('linear', 0.01, 0.01, 1e-05, True, <sklearn.neighbors.ball_tree.BallTree object at 0xf0ddb030>, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('linear', 0.01, 0.01, 1e-05, False, <sklearn.neighbors.ball_tree.BallTree object at 0xf0ddb030>, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('linear', 0.1, 1e-06, 0, True, <sklearn.neighbors.ball_tree.BallTree object at 0xf0ddb030>, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('linear', 0.1, 1e-06, 0, False, <sklearn.neighbors.ball_tree.BallTree object at 0xf0ddb030>, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('linear', 0.1, 0.01, 0, True, <sklearn.neighbors.ball_tree.BallTree object at 0xf0ddb030>, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('linear', 0.1, 0.01, 0, False, <sklearn.neighbors.ball_tree.BallTree object at 0xf0ddb030>, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('linear', 0.1, 1e-06, 1e-05, True, <sklearn.neighbors.ball_tree.BallTree object at 0xf0ddb030>, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('linear', 0.1, 1e-06, 1e-05, False, <sklearn.neighbors.ball_tree.BallTree object at 0xf0ddb030>, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('linear', 0.1, 0.01, 1e-05, True, <sklearn.neighbors.ball_tree.BallTree object at 0xf0ddb030>, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('linear', 0.1, 0.01, 1e-05, False, <sklearn.neighbors.ball_tree.BallTree object at 0xf0ddb030>, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('linear', 1, 1e-06, 0, True, <sklearn.neighbors.ball_tree.BallTree object at 0xf0ddb030>, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('linear', 1, 1e-06, 0, False, <sklearn.neighbors.ball_tree.BallTree object at 0xf0ddb030>, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('linear', 1, 0.01, 0, True, <sklearn.neighbors.ball_tree.BallTree object at 0xf0ddb030>, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('linear', 1, 0.01, 0, False, <sklearn.neighbors.ball_tree.BallTree object at 0xf0ddb030>, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('linear', 1, 1e-06, 1e-05, True, <sklearn.neighbors.ball_tree.BallTree object at 0xf0ddb030>, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('linear', 1, 1e-06, 1e-05, False, <sklearn.neighbors.ball_tree.BallTree object at 0xf0ddb030>, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('linear', 1, 0.01, 1e-05, True, <sklearn.neighbors.ball_tree.BallTree object at 0xf0ddb030>, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('linear', 1, 0.01, 1e-05, False, <sklearn.neighbors.ball_tree.BallTree object at 0xf0ddb030>, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('cosine', 0.01, 1e-06, 0, True, <sklearn.neighbors.ball_tree.BallTree object at 0xf0ddb030>, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('cosine', 0.01, 1e-06, 0, False, <sklearn.neighbors.ball_tree.BallTree object at 0xf0ddb030>, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('cosine', 0.01, 0.01, 0, True, <sklearn.neighbors.ball_tree.BallTree object at 0xf0ddb030>, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('cosine', 0.01, 0.01, 0, False, <sklearn.neighbors.ball_tree.BallTree object at 0xf0ddb030>, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('cosine', 0.01, 1e-06, 1e-05, True, <sklearn.neighbors.ball_tree.BallTree object at 0xf0ddb030>, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('cosine', 0.01, 1e-06, 1e-05, False, <sklearn.neighbors.ball_tree.BallTree object at 0xf0ddb030>, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('cosine', 0.01, 0.01, 1e-05, True, <sklearn.neighbors.ball_tree.BallTree object at 0xf0ddb030>, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('cosine', 0.01, 0.01, 1e-05, False, <sklearn.neighbors.ball_tree.BallTree object at 0xf0ddb030>, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('cosine', 0.1, 1e-06, 0, True, <sklearn.neighbors.ball_tree.BallTree object at 0xf0ddb030>, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('cosine', 0.1, 1e-06, 0, False, <sklearn.neighbors.ball_tree.BallTree object at 0xf0ddb030>, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('cosine', 0.1, 0.01, 0, True, <sklearn.neighbors.ball_tree.BallTree object at 0xf0ddb030>, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('cosine', 0.1, 0.01, 0, False, <sklearn.neighbors.ball_tree.BallTree object at 0xf0ddb030>, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('cosine', 0.1, 1e-06, 1e-05, True, <sklearn.neighbors.ball_tree.BallTree object at 0xf0ddb030>, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('cosine', 0.1, 1e-06, 1e-05, False, <sklearn.neighbors.ball_tree.BallTree object at 0xf0ddb030>, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('cosine', 0.1, 0.01, 1e-05, True, <sklearn.neighbors.ball_tree.BallTree object at 0xf0ddb030>, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('cosine', 0.1, 0.01, 1e-05, False, <sklearn.neighbors.ball_tree.BallTree object at 0xf0ddb030>, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('cosine', 1, 1e-06, 0, True, <sklearn.neighbors.ball_tree.BallTree object at 0xf0ddb030>, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('cosine', 1, 1e-06, 0, False, <sklearn.neighbors.ball_tree.BallTree object at 0xf0ddb030>, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('cosine', 1, 0.01, 0, True, <sklearn.neighbors.ball_tree.BallTree object at 0xf0ddb030>, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('cosine', 1, 0.01, 0, False, <sklearn.neighbors.ball_tree.BallTree object at 0xf0ddb030>, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('cosine', 1, 1e-06, 1e-05, True, <sklearn.neighbors.ball_tree.BallTree object at 0xf0ddb030>, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('cosine', 1, 1e-06, 1e-05, False, <sklearn.neighbors.ball_tree.BallTree object at 0xf0ddb030>, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('cosine', 1, 0.01, 1e-05, True, <sklearn.neighbors.ball_tree.BallTree object at 0xf0ddb030>, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_kde('cosine', 1, 0.01, 1e-05, False, <sklearn.neighbors.ball_tree.BallTree object at 0xf0ddb030>, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_ball_tree.test_gaussian_kde ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/neighbors/tests/test_ball_tree.py:201: RuntimeWarning: underflow encountered in exp
dens_bt = bt.kernel_density(x_out[:, None], h) / n_samples
/usr/lib/python3/dist-packages/scipy/stats/kde.py:222: RuntimeWarning: underflow encountered in exp
result[i] = sum(exp(-energy), axis=0)
ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_two_point(array([0. , 0.11111111, 0.22222222, 0.33333333, 0.44444444, ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_two_point(array([0. , 0.11111111, 0.22222222, 0.33333333, 0.44444444, ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_pickle(0,) ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_pickle(1,) ... ok
sklearn.neighbors.tests.test_ball_tree.test_ball_tree_pickle(2,) ... ok
sklearn.neighbors.tests.test_ball_tree.test_neighbors_heap ... ok
sklearn.neighbors.tests.test_ball_tree.test_node_heap ... ok
sklearn.neighbors.tests.test_ball_tree.test_simultaneous_sort ... ok
sklearn.neighbors.tests.test_ball_tree.test_query_haversine ... ok
sklearn.neighbors.tests.test_dist_metrics.TestMetrics.test_cdist('euclidean', {}, array([[0.67507694, 0.64211239, 0.37730269, 0.63475751, 0.9096805 , ... ok
sklearn.neighbors.tests.test_dist_metrics.TestMetrics.test_cdist('cityblock', {}, array([[1.21796151, 0.99804582, 0.64796144, 1.09320258, 1.49914561, ... ok
sklearn.neighbors.tests.test_dist_metrics.TestMetrics.test_cdist('minkowski', {'p': 1}, array([[1.21796151, 0.99804582, 0.64796144, 1.09320258, 1.49914561, ... ok
sklearn.neighbors.tests.test_dist_metrics.TestMetrics.test_cdist('minkowski', {'p': 1.5}, array([[0.8092389 , 0.73433834, 0.44607985, 0.75978393, 1.06004733, ... ok
sklearn.neighbors.tests.test_dist_metrics.TestMetrics.test_cdist('minkowski', {'p': 2}, array([[0.67507694, 0.64211239, 0.37730269, 0.63475751, 0.9096805 , ... ok
sklearn.neighbors.tests.test_dist_metrics.TestMetrics.test_cdist('minkowski', {'p': 3}, array([[0.58384805, 0.56795898, 0.32594322, 0.53204405, 0.79637583, ... ok
sklearn.neighbors.tests.test_dist_metrics.TestMetrics.test_cdist('chebyshev', {}, array([[0.53861588, 0.45094267, 0.28419442, 0.41701564, 0.69508182, ... ok
sklearn.neighbors.tests.test_dist_metrics.TestMetrics.test_cdist('seuclidean', {'V': array([0.22741463, 0.25435648, 0.05802916, 0.43441663])}, array([[2.37482514, 1.1721197 , 1.26879784, 1.66071271, 1.85983097, ... ok
sklearn.neighbors.tests.test_dist_metrics.TestMetrics.test_cdist('wminkowski', {'p': 1, 'w': array([0.31179588, 0.69634349, 0.37775184, 0.17960368])}, array([[0.51149072, 0.42978945, 0.28691315, 0.31414856, 0.67822857, ... ok
sklearn.neighbors.tests.test_dist_metrics.TestMetrics.test_cdist('wminkowski', {'p': 1.5, 'w': array([0.31179588, 0.69634349, 0.37775184, 0.17960368])}, array([[0.35478506, 0.34649572, 0.21080154, 0.22142038, 0.53671639, ... ok
sklearn.neighbors.tests.test_dist_metrics.TestMetrics.test_cdist('wminkowski', {'p': 3, 'w': array([0.31179588, 0.69634349, 0.37775184, 0.17960368])}, array([[0.26214981, 0.3151016 , 0.16585854, 0.16045352, 0.48619498, ... ok
sklearn.neighbors.tests.test_dist_metrics.TestMetrics.test_cdist('mahalanobis', {'VI': array([[0.80314541, 0.98494408, 0.59389881, 1.16113843], ... ok
sklearn.neighbors.tests.test_dist_metrics.TestMetrics.test_cdist('hamming', {}, array([[1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., ... ok
sklearn.neighbors.tests.test_dist_metrics.TestMetrics.test_cdist('canberra', {}, array([[1.45964409, 1.25116805, 0.56385105, 1.46151151, 2.11940325, ... ok
sklearn.neighbors.tests.test_dist_metrics.TestMetrics.test_cdist('braycurtis', {}, array([[0.31225657, 0.25850558, 0.13215958, 0.29289755, 0.38919585, ... ok
sklearn.neighbors.tests.test_dist_metrics.TestMetrics.test_cdist('matching', array([[0.75, 0.5 , 0.25, 0.75, 0.5 , 0.25, 0.25, 0.5 , 0.5 , 0. , 0. , ... ok
sklearn.neighbors.tests.test_dist_metrics.TestMetrics.test_cdist('jaccard', array([[0.75 , 0.5 , 0.25 , 0.75 , 0.5 , ... ok
sklearn.neighbors.tests.test_dist_metrics.TestMetrics.test_cdist('dice', array([[0.6 , 0.33333333, 0.14285714, 0.6 , 0.33333333, ... ok
sklearn.neighbors.tests.test_dist_metrics.TestMetrics.test_cdist('kulsinski', array([[0.85714286, 0.66666667, 0.4 , 0.85714286, 0.66666667, ... ok
sklearn.neighbors.tests.test_dist_metrics.TestMetrics.test_cdist('rogerstanimoto', array([[0.85714286, 0.66666667, 0.4 , 0.85714286, 0.66666667, ... ok
sklearn.neighbors.tests.test_dist_metrics.TestMetrics.test_cdist('russellrao', array([[0.75, 0.5 , 0.25, 0.75, 0.5 , 0.25, 0.25, 0.5 , 0.5 , 0. , 0. , ... ok
sklearn.neighbors.tests.test_dist_metrics.TestMetrics.test_cdist('sokalmichener', array([[0.85714286, 0.66666667, 0.4 , 0.85714286, 0.66666667, ... ok
sklearn.neighbors.tests.test_dist_metrics.TestMetrics.test_cdist('sokalsneath', array([[0.85714286, 0.66666667, 0.4 , 0.85714286, 0.66666667, ... ok
sklearn.neighbors.tests.test_dist_metrics.TestMetrics.test_pdist('euclidean', {}, array([[0. , 0.40997835, 0.5640201 , 0.73274389, 0.65549553, ... ok
sklearn.neighbors.tests.test_dist_metrics.TestMetrics.test_pdist('cityblock', {}, array([[0. , 0.70651994, 0.95154703, 1.21911953, 1.14654793, ... ok
sklearn.neighbors.tests.test_dist_metrics.TestMetrics.test_pdist('minkowski', {'p': 1}, array([[0. , 0.70651994, 0.95154703, 1.21911953, 1.14654793, ... ok
sklearn.neighbors.tests.test_dist_metrics.TestMetrics.test_pdist('minkowski', {'p': 1.5}, array([[0. , 0.48135148, 0.66512238, 0.85934453, 0.77585798, ... ok
sklearn.neighbors.tests.test_dist_metrics.TestMetrics.test_pdist('minkowski', {'p': 2}, array([[0. , 0.40997835, 0.5640201 , 0.73274389, 0.65549553, ... ok
sklearn.neighbors.tests.test_dist_metrics.TestMetrics.test_pdist('minkowski', {'p': 3}, array([[0. , 0.36478684, 0.48581161, 0.63461015, 0.57396051, ... ok
sklearn.neighbors.tests.test_dist_metrics.TestMetrics.test_pdist('chebyshev', {}, array([[0. , 0.34688982, 0.41484926, 0.53172732, 0.52859511, ... ok
sklearn.neighbors.tests.test_dist_metrics.TestMetrics.test_pdist('seuclidean', {'V': array([0.22741463, 0.25435648, 0.05802916, 0.43441663])}, array([[0. , 0.91374016, 1.34363768, 2.35165824, 1.43398969, ... ok
sklearn.neighbors.tests.test_dist_metrics.TestMetrics.test_pdist('wminkowski', {'p': 1, 'w': array([0.31179588, 0.69634349, 0.37775184, 0.17960368])}, array([[0. , 0.21197555, 0.43461091, 0.43558715, 0.37123525, ... ok
sklearn.neighbors.tests.test_dist_metrics.TestMetrics.test_pdist('wminkowski', {'p': 1.5, 'w': array([0.31179588, 0.69634349, 0.37775184, 0.17960368])}, array([[0. , 0.13471566, 0.31498027, 0.30704769, 0.24525516, ... ok
sklearn.neighbors.tests.test_dist_metrics.TestMetrics.test_pdist('wminkowski', {'p': 3, 'w': array([0.31179588, 0.69634349, 0.37775184, 0.17960368])}, array([[0. , 0.08691326, 0.24582898, 0.2276954 , 0.1766636 , ... ok
sklearn.neighbors.tests.test_dist_metrics.TestMetrics.test_pdist('mahalanobis', {'VI': array([[0.80314541, 0.98494408, 0.59389881, 1.16113843], ... ok
sklearn.neighbors.tests.test_dist_metrics.TestMetrics.test_pdist('hamming', {}, array([[0., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., ... ok
sklearn.neighbors.tests.test_dist_metrics.TestMetrics.test_pdist('canberra', {}, array([[0. , 0.57984003, 0.72664541, 1.65888213, 1.36160847, ... ok
sklearn.neighbors.tests.test_dist_metrics.TestMetrics.test_pdist('braycurtis', {}, array([[0. , 0.14686859, 0.1873355 , 0.30002036, 0.23338654, ... ok
sklearn.neighbors.tests.test_dist_metrics.TestMetrics.test_pdist('matching', array([[0. , 0.5 , 0.25, 0.5 , 0.25, 0.25, 0.5 , 0.5 , 0.5 , 0. , 0.75, ... ok
sklearn.neighbors.tests.test_dist_metrics.TestMetrics.test_pdist('jaccard', array([[0. , 0.5 , 0.25 , 0.5 , 0.25 , ... ok
sklearn.neighbors.tests.test_dist_metrics.TestMetrics.test_pdist('dice', array([[0. , 0.33333333, 0.14285714, 0.33333333, 0.14285714, ... ok
sklearn.neighbors.tests.test_dist_metrics.TestMetrics.test_pdist('kulsinski', array([[0. , 0.66666667, 0.4 , 0.66666667, 0.4 , ... ok
sklearn.neighbors.tests.test_dist_metrics.TestMetrics.test_pdist('rogerstanimoto', array([[0. , 0.66666667, 0.4 , 0.66666667, 0.4 , ... ok
sklearn.neighbors.tests.test_dist_metrics.TestMetrics.test_pdist('russellrao', array([[0. , 0.5 , 0.25, 0.5 , 0.25, 0.25, 0.5 , 0.5 , 0.5 , 0. , 0.75, ... ok
sklearn.neighbors.tests.test_dist_metrics.TestMetrics.test_pdist('sokalmichener', array([[0. , 0.66666667, 0.4 , 0.66666667, 0.4 , ... ok
sklearn.neighbors.tests.test_dist_metrics.TestMetrics.test_pdist('sokalsneath', array([[0. , 0.66666667, 0.4 , 0.66666667, 0.4 , ... ok
sklearn.neighbors.tests.test_dist_metrics.TestMetrics.test_pickle('euclidean', {}) ... ok
sklearn.neighbors.tests.test_dist_metrics.TestMetrics.test_pickle('cityblock', {}) ... ok
sklearn.neighbors.tests.test_dist_metrics.TestMetrics.test_pickle('minkowski', {'p': 1}) ... ok
sklearn.neighbors.tests.test_dist_metrics.TestMetrics.test_pickle('minkowski', {'p': 1.5}) ... ok
sklearn.neighbors.tests.test_dist_metrics.TestMetrics.test_pickle('minkowski', {'p': 2}) ... ok
sklearn.neighbors.tests.test_dist_metrics.TestMetrics.test_pickle('minkowski', {'p': 3}) ... ok
sklearn.neighbors.tests.test_dist_metrics.TestMetrics.test_pickle('chebyshev', {}) ... ok
sklearn.neighbors.tests.test_dist_metrics.TestMetrics.test_pickle('seuclidean', {'V': array([0.22741463, 0.25435648, 0.05802916, 0.43441663])}) ... ok
sklearn.neighbors.tests.test_dist_metrics.TestMetrics.test_pickle('wminkowski', {'p': 1, 'w': array([0.31179588, 0.69634349, 0.37775184, 0.17960368])}) ... ok
sklearn.neighbors.tests.test_dist_metrics.TestMetrics.test_pickle('wminkowski', {'p': 1.5, 'w': array([0.31179588, 0.69634349, 0.37775184, 0.17960368])}) ... ok
sklearn.neighbors.tests.test_dist_metrics.TestMetrics.test_pickle('wminkowski', {'p': 3, 'w': array([0.31179588, 0.69634349, 0.37775184, 0.17960368])}) ... ok
sklearn.neighbors.tests.test_dist_metrics.TestMetrics.test_pickle('mahalanobis', {'VI': array([[0.80314541, 0.98494408, 0.59389881, 1.16113843], ... ok
sklearn.neighbors.tests.test_dist_metrics.TestMetrics.test_pickle('hamming', {}) ... ok
sklearn.neighbors.tests.test_dist_metrics.TestMetrics.test_pickle('canberra', {}) ... ok
sklearn.neighbors.tests.test_dist_metrics.TestMetrics.test_pickle('braycurtis', {}) ... ok
sklearn.neighbors.tests.test_dist_metrics.TestMetrics.test_pickle('matching',) ... ok
sklearn.neighbors.tests.test_dist_metrics.TestMetrics.test_pickle('jaccard',) ... ok
sklearn.neighbors.tests.test_dist_metrics.TestMetrics.test_pickle('dice',) ... ok
sklearn.neighbors.tests.test_dist_metrics.TestMetrics.test_pickle('kulsinski',) ... ok
sklearn.neighbors.tests.test_dist_metrics.TestMetrics.test_pickle('rogerstanimoto',) ... ok
sklearn.neighbors.tests.test_dist_metrics.TestMetrics.test_pickle('russellrao',) ... ok
sklearn.neighbors.tests.test_dist_metrics.TestMetrics.test_pickle('sokalmichener',) ... ok
sklearn.neighbors.tests.test_dist_metrics.TestMetrics.test_pickle('sokalsneath',) ... ok
sklearn.neighbors.tests.test_dist_metrics.test_haversine_metric ... ok
sklearn.neighbors.tests.test_dist_metrics.test_pyfunc_metric ... ok
sklearn.neighbors.tests.test_dist_metrics.test_bad_pyfunc_metric ... ok
sklearn.neighbors.tests.test_dist_metrics.test_input_data_size ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_query(True, True, 1, 'euclidean', array([[0.5488135 , 0.71518937, 0.60276338], ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_query(True, False, 1, 'euclidean', array([[0.5488135 , 0.71518937, 0.60276338], ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_query(False, True, 1, 'euclidean', array([[0.5488135 , 0.71518937, 0.60276338], ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_query(False, False, 1, 'euclidean', array([[0.5488135 , 0.71518937, 0.60276338], ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_query(True, True, 3, 'euclidean', array([[0.5488135 , 0.71518937, 0.60276338], ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_query(True, False, 3, 'euclidean', array([[0.5488135 , 0.71518937, 0.60276338], ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_query(False, True, 3, 'euclidean', array([[0.5488135 , 0.71518937, 0.60276338], ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_query(False, False, 3, 'euclidean', array([[0.5488135 , 0.71518937, 0.60276338], ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_query(True, True, 5, 'euclidean', array([[0.5488135 , 0.71518937, 0.60276338], ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_query(True, False, 5, 'euclidean', array([[0.5488135 , 0.71518937, 0.60276338], ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_query(False, True, 5, 'euclidean', array([[0.5488135 , 0.71518937, 0.60276338], ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_query(False, False, 5, 'euclidean', array([[0.5488135 , 0.71518937, 0.60276338], ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_query(True, True, 1, 'manhattan', array([[0.5488135 , 0.71518937, 0.60276338], ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_query(True, False, 1, 'manhattan', array([[0.5488135 , 0.71518937, 0.60276338], ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_query(False, True, 1, 'manhattan', array([[0.5488135 , 0.71518937, 0.60276338], ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_query(False, False, 1, 'manhattan', array([[0.5488135 , 0.71518937, 0.60276338], ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_query(True, True, 3, 'manhattan', array([[0.5488135 , 0.71518937, 0.60276338], ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_query(True, False, 3, 'manhattan', array([[0.5488135 , 0.71518937, 0.60276338], ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_query(False, True, 3, 'manhattan', array([[0.5488135 , 0.71518937, 0.60276338], ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_query(False, False, 3, 'manhattan', array([[0.5488135 , 0.71518937, 0.60276338], ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_query(True, True, 5, 'manhattan', array([[0.5488135 , 0.71518937, 0.60276338], ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_query(True, False, 5, 'manhattan', array([[0.5488135 , 0.71518937, 0.60276338], ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_query(False, True, 5, 'manhattan', array([[0.5488135 , 0.71518937, 0.60276338], ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_query(False, False, 5, 'manhattan', array([[0.5488135 , 0.71518937, 0.60276338], ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_query(True, True, 1, 'chebyshev', array([[0.5488135 , 0.71518937, 0.60276338], ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_query(True, False, 1, 'chebyshev', array([[0.5488135 , 0.71518937, 0.60276338], ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_query(False, True, 1, 'chebyshev', array([[0.5488135 , 0.71518937, 0.60276338], ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_query(False, False, 1, 'chebyshev', array([[0.5488135 , 0.71518937, 0.60276338], ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_query(True, True, 3, 'chebyshev', array([[0.5488135 , 0.71518937, 0.60276338], ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_query(True, False, 3, 'chebyshev', array([[0.5488135 , 0.71518937, 0.60276338], ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_query(False, True, 3, 'chebyshev', array([[0.5488135 , 0.71518937, 0.60276338], ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_query(False, False, 3, 'chebyshev', array([[0.5488135 , 0.71518937, 0.60276338], ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_query(True, True, 5, 'chebyshev', array([[0.5488135 , 0.71518937, 0.60276338], ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_query(True, False, 5, 'chebyshev', array([[0.5488135 , 0.71518937, 0.60276338], ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_query(False, True, 5, 'chebyshev', array([[0.5488135 , 0.71518937, 0.60276338], ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_query(False, False, 5, 'chebyshev', array([[0.5488135 , 0.71518937, 0.60276338], ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_query(True, True, 1, 'minkowski', array([[0.5488135 , 0.71518937, 0.60276338], ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_query(True, False, 1, 'minkowski', array([[0.5488135 , 0.71518937, 0.60276338], ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_query(False, True, 1, 'minkowski', array([[0.5488135 , 0.71518937, 0.60276338], ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_query(False, False, 1, 'minkowski', array([[0.5488135 , 0.71518937, 0.60276338], ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_query(True, True, 3, 'minkowski', array([[0.5488135 , 0.71518937, 0.60276338], ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_query(True, False, 3, 'minkowski', array([[0.5488135 , 0.71518937, 0.60276338], ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_query(False, True, 3, 'minkowski', array([[0.5488135 , 0.71518937, 0.60276338], ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_query(False, False, 3, 'minkowski', array([[0.5488135 , 0.71518937, 0.60276338], ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_query(True, True, 5, 'minkowski', array([[0.5488135 , 0.71518937, 0.60276338], ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_query(True, False, 5, 'minkowski', array([[0.5488135 , 0.71518937, 0.60276338], ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_query(False, True, 5, 'minkowski', array([[0.5488135 , 0.71518937, 0.60276338], ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_query(False, False, 5, 'minkowski', array([[0.5488135 , 0.71518937, 0.60276338], ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_query_radius ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_query_radius_distance ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/neighbors/tests/test_kd_tree.py:98: RuntimeWarning: underflow encountered in exp
return norm * np.exp(-0.5 * (d * d) / (h * h)).sum(-1)
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('gaussian', 0.01, 1e-06, 0, True, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('gaussian', 0.01, 1e-06, 0, False, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('gaussian', 0.01, 0.01, 0, True, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('gaussian', 0.01, 0.01, 0, False, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('gaussian', 0.01, 1e-06, 1e-05, True, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('gaussian', 0.01, 1e-06, 1e-05, False, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('gaussian', 0.01, 0.01, 1e-05, True, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('gaussian', 0.01, 0.01, 1e-05, False, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('gaussian', 0.1, 1e-06, 0, True, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('gaussian', 0.1, 1e-06, 0, False, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('gaussian', 0.1, 0.01, 0, True, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('gaussian', 0.1, 0.01, 0, False, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('gaussian', 0.1, 1e-06, 1e-05, True, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('gaussian', 0.1, 1e-06, 1e-05, False, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('gaussian', 0.1, 0.01, 1e-05, True, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('gaussian', 0.1, 0.01, 1e-05, False, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('gaussian', 1, 1e-06, 0, True, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('gaussian', 1, 1e-06, 0, False, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('gaussian', 1, 0.01, 0, True, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('gaussian', 1, 0.01, 0, False, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('gaussian', 1, 1e-06, 1e-05, True, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('gaussian', 1, 1e-06, 1e-05, False, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('gaussian', 1, 0.01, 1e-05, True, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('gaussian', 1, 0.01, 1e-05, False, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('tophat', 0.01, 1e-06, 0, True, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('tophat', 0.01, 1e-06, 0, False, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('tophat', 0.01, 0.01, 0, True, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('tophat', 0.01, 0.01, 0, False, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('tophat', 0.01, 1e-06, 1e-05, True, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('tophat', 0.01, 1e-06, 1e-05, False, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('tophat', 0.01, 0.01, 1e-05, True, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('tophat', 0.01, 0.01, 1e-05, False, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('tophat', 0.1, 1e-06, 0, True, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('tophat', 0.1, 1e-06, 0, False, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('tophat', 0.1, 0.01, 0, True, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('tophat', 0.1, 0.01, 0, False, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('tophat', 0.1, 1e-06, 1e-05, True, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('tophat', 0.1, 1e-06, 1e-05, False, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('tophat', 0.1, 0.01, 1e-05, True, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('tophat', 0.1, 0.01, 1e-05, False, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('tophat', 1, 1e-06, 0, True, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('tophat', 1, 1e-06, 0, False, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('tophat', 1, 0.01, 0, True, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('tophat', 1, 0.01, 0, False, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('tophat', 1, 1e-06, 1e-05, True, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('tophat', 1, 1e-06, 1e-05, False, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('tophat', 1, 0.01, 1e-05, True, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('tophat', 1, 0.01, 1e-05, False, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('epanechnikov', 0.01, 1e-06, 0, True, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('epanechnikov', 0.01, 1e-06, 0, False, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('epanechnikov', 0.01, 0.01, 0, True, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('epanechnikov', 0.01, 0.01, 0, False, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('epanechnikov', 0.01, 1e-06, 1e-05, True, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('epanechnikov', 0.01, 1e-06, 1e-05, False, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('epanechnikov', 0.01, 0.01, 1e-05, True, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('epanechnikov', 0.01, 0.01, 1e-05, False, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('epanechnikov', 0.1, 1e-06, 0, True, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('epanechnikov', 0.1, 1e-06, 0, False, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('epanechnikov', 0.1, 0.01, 0, True, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('epanechnikov', 0.1, 0.01, 0, False, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('epanechnikov', 0.1, 1e-06, 1e-05, True, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('epanechnikov', 0.1, 1e-06, 1e-05, False, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('epanechnikov', 0.1, 0.01, 1e-05, True, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('epanechnikov', 0.1, 0.01, 1e-05, False, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('epanechnikov', 1, 1e-06, 0, True, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('epanechnikov', 1, 1e-06, 0, False, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('epanechnikov', 1, 0.01, 0, True, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('epanechnikov', 1, 0.01, 0, False, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('epanechnikov', 1, 1e-06, 1e-05, True, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('epanechnikov', 1, 1e-06, 1e-05, False, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('epanechnikov', 1, 0.01, 1e-05, True, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('epanechnikov', 1, 0.01, 1e-05, False, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('exponential', 0.01, 1e-06, 0, True, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('exponential', 0.01, 1e-06, 0, False, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('exponential', 0.01, 0.01, 0, True, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('exponential', 0.01, 0.01, 0, False, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('exponential', 0.01, 1e-06, 1e-05, True, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('exponential', 0.01, 1e-06, 1e-05, False, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('exponential', 0.01, 0.01, 1e-05, True, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('exponential', 0.01, 0.01, 1e-05, False, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('exponential', 0.1, 1e-06, 0, True, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('exponential', 0.1, 1e-06, 0, False, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('exponential', 0.1, 0.01, 0, True, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('exponential', 0.1, 0.01, 0, False, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('exponential', 0.1, 1e-06, 1e-05, True, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('exponential', 0.1, 1e-06, 1e-05, False, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('exponential', 0.1, 0.01, 1e-05, True, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('exponential', 0.1, 0.01, 1e-05, False, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('exponential', 1, 1e-06, 0, True, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('exponential', 1, 1e-06, 0, False, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('exponential', 1, 0.01, 0, True, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('exponential', 1, 0.01, 0, False, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('exponential', 1, 1e-06, 1e-05, True, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('exponential', 1, 1e-06, 1e-05, False, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('exponential', 1, 0.01, 1e-05, True, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('exponential', 1, 0.01, 1e-05, False, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('linear', 0.01, 1e-06, 0, True, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('linear', 0.01, 1e-06, 0, False, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('linear', 0.01, 0.01, 0, True, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('linear', 0.01, 0.01, 0, False, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('linear', 0.01, 1e-06, 1e-05, True, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('linear', 0.01, 1e-06, 1e-05, False, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('linear', 0.01, 0.01, 1e-05, True, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('linear', 0.01, 0.01, 1e-05, False, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('linear', 0.1, 1e-06, 0, True, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('linear', 0.1, 1e-06, 0, False, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('linear', 0.1, 0.01, 0, True, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('linear', 0.1, 0.01, 0, False, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('linear', 0.1, 1e-06, 1e-05, True, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('linear', 0.1, 1e-06, 1e-05, False, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('linear', 0.1, 0.01, 1e-05, True, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('linear', 0.1, 0.01, 1e-05, False, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('linear', 1, 1e-06, 0, True, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('linear', 1, 1e-06, 0, False, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('linear', 1, 0.01, 0, True, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('linear', 1, 0.01, 0, False, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('linear', 1, 1e-06, 1e-05, True, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('linear', 1, 1e-06, 1e-05, False, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('linear', 1, 0.01, 1e-05, True, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('linear', 1, 0.01, 1e-05, False, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('cosine', 0.01, 1e-06, 0, True, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('cosine', 0.01, 1e-06, 0, False, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('cosine', 0.01, 0.01, 0, True, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('cosine', 0.01, 0.01, 0, False, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('cosine', 0.01, 1e-06, 1e-05, True, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('cosine', 0.01, 1e-06, 1e-05, False, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('cosine', 0.01, 0.01, 1e-05, True, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('cosine', 0.01, 0.01, 1e-05, False, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('cosine', 0.1, 1e-06, 0, True, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('cosine', 0.1, 1e-06, 0, False, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('cosine', 0.1, 0.01, 0, True, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('cosine', 0.1, 0.01, 0, False, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('cosine', 0.1, 1e-06, 1e-05, True, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('cosine', 0.1, 1e-06, 1e-05, False, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('cosine', 0.1, 0.01, 1e-05, True, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('cosine', 0.1, 0.01, 1e-05, False, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('cosine', 1, 1e-06, 0, True, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('cosine', 1, 1e-06, 0, False, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('cosine', 1, 0.01, 0, True, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('cosine', 1, 0.01, 0, False, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('cosine', 1, 1e-06, 1e-05, True, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('cosine', 1, 1e-06, 1e-05, False, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('cosine', 1, 0.01, 1e-05, True, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_kde('cosine', 1, 0.01, 1e-05, False, array([[0.9065555 , 0.77404733, 0.33314515], ... ok
sklearn.neighbors.tests.test_kd_tree.test_gaussian_kde ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/neighbors/tests/test_kd_tree.py:153: RuntimeWarning: underflow encountered in exp
dens_kdt = kdt.kernel_density(x_out[:, None], h) / n_samples
ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_two_point(array([0. , 0.11111111, 0.22222222, 0.33333333, 0.44444444, ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_two_point(array([0. , 0.11111111, 0.22222222, 0.33333333, 0.44444444, ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_pickle(0,) ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_pickle(1,) ... ok
sklearn.neighbors.tests.test_kd_tree.test_kd_tree_pickle(2,) ... ok
sklearn.neighbors.tests.test_kd_tree.test_neighbors_heap ... ok
sklearn.neighbors.tests.test_kd_tree.test_node_heap ... ok
sklearn.neighbors.tests.test_kd_tree.test_simultaneous_sort ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/neighbors/tests/test_kde.py:17: RuntimeWarning: underflow encountered in exp
return norm * np.exp(-0.5 * (d * d) / (h * h)).sum(-1)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/neighbors/tests/test_kde.py:17: RuntimeWarning: underflow encountered in multiply
return norm * np.exp(-0.5 * (d * d) / (h * h)).sum(-1)
sklearn.neighbors.tests.test_kde.test_kernel_density('gaussian', 0.01, 1e-06, 0, array([[ 1.76405235, 0.40015721, 0.97873798], ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/neighbors/tests/test_kde.py:36: RuntimeWarning: underflow encountered in exp
assert_allclose(np.exp(log_dens), dens_true,
/usr/lib/python3/dist-packages/numpy/core/numeric.py:2321: RuntimeWarning: underflow encountered in multiply
return less_equal(abs(x-y), atol + rtol * abs(y))
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/neighbors/tests/test_kde.py:38: RuntimeWarning: underflow encountered in exp
assert_allclose(np.exp(kde.score(Y)),
ok
sklearn.neighbors.tests.test_kde.test_kernel_density('gaussian', 0.01, 1e-06, 0, array([[ 1.76405235, 0.40015721, 0.97873798], ... ok
sklearn.neighbors.tests.test_kde.test_kernel_density('gaussian', 0.01, 0.01, 0, array([[ 1.76405235, 0.40015721, 0.97873798], ... ok
sklearn.neighbors.tests.test_kde.test_kernel_density('gaussian', 0.01, 0.01, 0, array([[ 1.76405235, 0.40015721, 0.97873798], ... ok
sklearn.neighbors.tests.test_kde.test_kernel_density('gaussian', 0.01, 1e-06, 1e-05, array([[ 1.76405235, 0.40015721, 0.97873798], ... ok
sklearn.neighbors.tests.test_kde.test_kernel_density('gaussian', 0.01, 1e-06, 1e-05, array([[ 1.76405235, 0.40015721, 0.97873798], ... ok
sklearn.neighbors.tests.test_kde.test_kernel_density('gaussian', 0.01, 0.01, 1e-05, array([[ 1.76405235, 0.40015721, 0.97873798], ... ok
sklearn.neighbors.tests.test_kde.test_kernel_density('gaussian', 0.01, 0.01, 1e-05, array([[ 1.76405235, 0.40015721, 0.97873798], ... ok
sklearn.neighbors.tests.test_kde.test_kernel_density('gaussian', 0.1, 1e-06, 0, array([[ 1.76405235, 0.40015721, 0.97873798], ... /usr/lib/python3/dist-packages/numpy/core/_methods.py:35: RuntimeWarning: underflow encountered in reduce
return umr_prod(a, axis, dtype, out, keepdims)
ok
sklearn.neighbors.tests.test_kde.test_kernel_density('gaussian', 0.1, 1e-06, 0, array([[ 1.76405235, 0.40015721, 0.97873798], ... ok
sklearn.neighbors.tests.test_kde.test_kernel_density('gaussian', 0.1, 0.01, 0, array([[ 1.76405235, 0.40015721, 0.97873798], ... ok
sklearn.neighbors.tests.test_kde.test_kernel_density('gaussian', 0.1, 0.01, 0, array([[ 1.76405235, 0.40015721, 0.97873798], ... ok
sklearn.neighbors.tests.test_kde.test_kernel_density('gaussian', 0.1, 1e-06, 1e-05, array([[ 1.76405235, 0.40015721, 0.97873798], ... ok
sklearn.neighbors.tests.test_kde.test_kernel_density('gaussian', 0.1, 1e-06, 1e-05, array([[ 1.76405235, 0.40015721, 0.97873798], ... ok
sklearn.neighbors.tests.test_kde.test_kernel_density('gaussian', 0.1, 0.01, 1e-05, array([[ 1.76405235, 0.40015721, 0.97873798], ... ok
sklearn.neighbors.tests.test_kde.test_kernel_density('gaussian', 0.1, 0.01, 1e-05, array([[ 1.76405235, 0.40015721, 0.97873798], ... ok
sklearn.neighbors.tests.test_kde.test_kernel_density('gaussian', 1, 1e-06, 0, array([[ 1.76405235, 0.40015721, 0.97873798], ... ok
sklearn.neighbors.tests.test_kde.test_kernel_density('gaussian', 1, 1e-06, 0, array([[ 1.76405235, 0.40015721, 0.97873798], ... ok
sklearn.neighbors.tests.test_kde.test_kernel_density('gaussian', 1, 0.01, 0, array([[ 1.76405235, 0.40015721, 0.97873798], ... ok
sklearn.neighbors.tests.test_kde.test_kernel_density('gaussian', 1, 0.01, 0, array([[ 1.76405235, 0.40015721, 0.97873798], ... ok
sklearn.neighbors.tests.test_kde.test_kernel_density('gaussian', 1, 1e-06, 1e-05, array([[ 1.76405235, 0.40015721, 0.97873798], ... ok
sklearn.neighbors.tests.test_kde.test_kernel_density('gaussian', 1, 1e-06, 1e-05, array([[ 1.76405235, 0.40015721, 0.97873798], ... ok
sklearn.neighbors.tests.test_kde.test_kernel_density('gaussian', 1, 0.01, 1e-05, array([[ 1.76405235, 0.40015721, 0.97873798], ... ok
sklearn.neighbors.tests.test_kde.test_kernel_density('gaussian', 1, 0.01, 1e-05, array([[ 1.76405235, 0.40015721, 0.97873798], ... ok
sklearn.neighbors.tests.test_kde.test_kernel_density('tophat', 0.01, 1e-06, 0, array([[ 1.76405235, 0.40015721, 0.97873798], ... ok
sklearn.neighbors.tests.test_kde.test_kernel_density('tophat', 0.01, 1e-06, 0, array([[ 1.76405235, 0.40015721, 0.97873798], ... ok
sklearn.neighbors.tests.test_kde.test_kernel_density('tophat', 0.01, 0.01, 0, array([[ 1.76405235, 0.40015721, 0.97873798], ... ok
sklearn.neighbors.tests.test_kde.test_kernel_density('tophat', 0.01, 0.01, 0, array([[ 1.76405235, 0.40015721, 0.97873798], ... ok
sklearn.neighbors.tests.test_kde.test_kernel_density('tophat', 0.01, 1e-06, 1e-05, array([[ 1.76405235, 0.40015721, 0.97873798], ... ok
sklearn.neighbors.tests.test_kde.test_kernel_density('tophat', 0.01, 1e-06, 1e-05, array([[ 1.76405235, 0.40015721, 0.97873798], ... ok
sklearn.neighbors.tests.test_kde.test_kernel_density('tophat', 0.01, 0.01, 1e-05, array([[ 1.76405235, 0.40015721, 0.97873798], ... ok
sklearn.neighbors.tests.test_kde.test_kernel_density('tophat', 0.01, 0.01, 1e-05, array([[ 1.76405235, 0.40015721, 0.97873798], ... ok
sklearn.neighbors.tests.test_kde.test_kernel_density('tophat', 0.1, 1e-06, 0, array([[ 1.76405235, 0.40015721, 0.97873798], ... ok
sklearn.neighbors.tests.test_kde.test_kernel_density('tophat', 0.1, 1e-06, 0, array([[ 1.76405235, 0.40015721, 0.97873798], ... ok
sklearn.neighbors.tests.test_kde.test_kernel_density('tophat', 0.1, 0.01, 0, array([[ 1.76405235, 0.40015721, 0.97873798], ... ok
sklearn.neighbors.tests.test_kde.test_kernel_density('tophat', 0.1, 0.01, 0, array([[ 1.76405235, 0.40015721, 0.97873798], ... ok
sklearn.neighbors.tests.test_kde.test_kernel_density('tophat', 0.1, 1e-06, 1e-05, array([[ 1.76405235, 0.40015721, 0.97873798], ... ok
sklearn.neighbors.tests.test_kde.test_kernel_density('tophat', 0.1, 1e-06, 1e-05, array([[ 1.76405235, 0.40015721, 0.97873798], ... ok
sklearn.neighbors.tests.test_kde.test_kernel_density('tophat', 0.1, 0.01, 1e-05, array([[ 1.76405235, 0.40015721, 0.97873798], ... ok
sklearn.neighbors.tests.test_kde.test_kernel_density('tophat', 0.1, 0.01, 1e-05, array([[ 1.76405235, 0.40015721, 0.97873798], ... ok
sklearn.neighbors.tests.test_kde.test_kernel_density('tophat', 1, 1e-06, 0, array([[ 1.76405235, 0.40015721, 0.97873798], ... ok
sklearn.neighbors.tests.test_kde.test_kernel_density('tophat', 1, 1e-06, 0, array([[ 1.76405235, 0.40015721, 0.97873798], ... ok
sklearn.neighbors.tests.test_kde.test_kernel_density('tophat', 1, 0.01, 0, array([[ 1.76405235, 0.40015721, 0.97873798], ... ok
sklearn.neighbors.tests.test_kde.test_kernel_density('tophat', 1, 0.01, 0, array([[ 1.76405235, 0.40015721, 0.97873798], ... ok
sklearn.neighbors.tests.test_kde.test_kernel_density('tophat', 1, 1e-06, 1e-05, array([[ 1.76405235, 0.40015721, 0.97873798], ... ok
sklearn.neighbors.tests.test_kde.test_kernel_density('tophat', 1, 1e-06, 1e-05, array([[ 1.76405235, 0.40015721, 0.97873798], ... ok
sklearn.neighbors.tests.test_kde.test_kernel_density('tophat', 1, 0.01, 1e-05, array([[ 1.76405235, 0.40015721, 0.97873798], ... ok
sklearn.neighbors.tests.test_kde.test_kernel_density('tophat', 1, 0.01, 1e-05, array([[ 1.76405235, 0.40015721, 0.97873798], ... ok
sklearn.neighbors.tests.test_kde.test_kernel_density('epanechnikov', 0.01, 1e-06, 0, array([[ 1.76405235, 0.40015721, 0.97873798], ... ok
sklearn.neighbors.tests.test_kde.test_kernel_density('epanechnikov', 0.01, 1e-06, 0, array([[ 1.76405235, 0.40015721, 0.97873798], ... ok
sklearn.neighbors.tests.test_kde.test_kernel_density('epanechnikov', 0.01, 0.01, 0, array([[ 1.76405235, 0.40015721, 0.97873798], ... ok
sklearn.neighbors.tests.test_kde.test_kernel_density('epanechnikov', 0.01, 0.01, 0, array([[ 1.76405235, 0.40015721, 0.97873798], ... ok
sklearn.neighbors.tests.test_kde.test_kernel_density('epanechnikov', 0.01, 1e-06, 1e-05, array([[ 1.76405235, 0.40015721, 0.97873798], ... ok
sklearn.neighbors.tests.test_kde.test_kernel_density('epanechnikov', 0.01, 1e-06, 1e-05, array([[ 1.76405235, 0.40015721, 0.97873798], ... ok
sklearn.neighbors.tests.test_kde.test_kernel_density('epanechnikov', 0.01, 0.01, 1e-05, array([[ 1.76405235, 0.40015721, 0.97873798], ... ok
sklearn.neighbors.tests.test_kde.test_kernel_density('epanechnikov', 0.01, 0.01, 1e-05, array([[ 1.76405235, 0.40015721, 0.97873798], ... ok
sklearn.neighbors.tests.test_kde.test_kernel_density('epanechnikov', 0.1, 1e-06, 0, array([[ 1.76405235, 0.40015721, 0.97873798], ... ok
sklearn.neighbors.tests.test_kde.test_kernel_density('epanechnikov', 0.1, 1e-06, 0, array([[ 1.76405235, 0.40015721, 0.97873798], ... ok
sklearn.neighbors.tests.test_kde.test_kernel_density('epanechnikov', 0.1, 0.01, 0, array([[ 1.76405235, 0.40015721, 0.97873798], ... ok
sklearn.neighbors.tests.test_kde.test_kernel_density('epanechnikov', 0.1, 0.01, 0, array([[ 1.76405235, 0.40015721, 0.97873798], ... ok
sklearn.neighbors.tests.test_kde.test_kernel_density('epanechnikov', 0.1, 1e-06, 1e-05, array([[ 1.76405235, 0.40015721, 0.97873798], ... ok
sklearn.neighbors.tests.test_kde.test_kernel_density('epanechnikov', 0.1, 1e-06, 1e-05, array([[ 1.76405235, 0.40015721, 0.97873798], ... ok
sklearn.neighbors.tests.test_kde.test_kernel_density('epanechnikov', 0.1, 0.01, 1e-05, array([[ 1.76405235, 0.40015721, 0.97873798], ... ok
sklearn.neighbors.tests.test_kde.test_kernel_density('epanechnikov', 0.1, 0.01, 1e-05, array([[ 1.76405235, 0.40015721, 0.97873798], ... ok
sklearn.neighbors.tests.test_kde.test_kernel_density('epanechnikov', 1, 1e-06, 0, array([[ 1.76405235, 0.40015721, 0.97873798], ... ok
sklearn.neighbors.tests.test_kde.test_kernel_density('epanechnikov', 1, 1e-06, 0, array([[ 1.76405235, 0.40015721, 0.97873798], ... ok
sklearn.neighbors.tests.test_kde.test_kernel_density('epanechnikov', 1, 0.01, 0, array([[ 1.76405235, 0.40015721, 0.97873798], ... ok
sklearn.neighbors.tests.test_kde.test_kernel_density('epanechnikov', 1, 0.01, 0, array([[ 1.76405235, 0.40015721, 0.97873798], ... ok
sklearn.neighbors.tests.test_kde.test_kernel_density('epanechnikov', 1, 1e-06, 1e-05, array([[ 1.76405235, 0.40015721, 0.97873798], ... ok
sklearn.neighbors.tests.test_kde.test_kernel_density('epanechnikov', 1, 1e-06, 1e-05, array([[ 1.76405235, 0.40015721, 0.97873798], ... ok
sklearn.neighbors.tests.test_kde.test_kernel_density('epanechnikov', 1, 0.01, 1e-05, array([[ 1.76405235, 0.40015721, 0.97873798], ... ok
sklearn.neighbors.tests.test_kde.test_kernel_density('epanechnikov', 1, 0.01, 1e-05, array([[ 1.76405235, 0.40015721, 0.97873798], ... ok
sklearn.neighbors.tests.test_kde.test_kernel_density('exponential', 0.01, 1e-06, 0, array([[ 1.76405235, 0.40015721, 0.97873798], ... ok
sklearn.neighbors.tests.test_kde.test_kernel_density('exponential', 0.01, 1e-06, 0, array([[ 1.76405235, 0.40015721, 0.97873798], ... ok
sklearn.neighbors.tests.test_kde.test_kernel_density('exponential', 0.01, 0.01, 0, array([[ 1.76405235, 0.40015721, 0.97873798], ... ok
sklearn.neighbors.tests.test_kde.test_kernel_density('exponential', 0.01, 0.01, 0, array([[ 1.76405235, 0.40015721, 0.97873798], ... ok
sklearn.neighbors.tests.test_kde.test_kernel_density('exponential', 0.01, 1e-06, 1e-05, array([[ 1.76405235, 0.40015721, 0.97873798], ... ok
sklearn.neighbors.tests.test_kde.test_kernel_density('exponential', 0.01, 1e-06, 1e-05, array([[ 1.76405235, 0.40015721, 0.97873798], ... ok
sklearn.neighbors.tests.test_kde.test_kernel_density('exponential', 0.01, 0.01, 1e-05, array([[ 1.76405235, 0.40015721, 0.97873798], ... ok
sklearn.neighbors.tests.test_kde.test_kernel_density('exponential', 0.01, 0.01, 1e-05, array([[ 1.76405235, 0.40015721, 0.97873798], ... ok
sklearn.neighbors.tests.test_kde.test_kernel_density('exponential', 0.1, 1e-06, 0, array([[ 1.76405235, 0.40015721, 0.97873798], ... ok
sklearn.neighbors.tests.test_kde.test_kernel_density('exponential', 0.1, 1e-06, 0, array([[ 1.76405235, 0.40015721, 0.97873798], ... ok
sklearn.neighbors.tests.test_kde.test_kernel_density('exponential', 0.1, 0.01, 0, array([[ 1.76405235, 0.40015721, 0.97873798], ... ok
sklearn.neighbors.tests.test_kde.test_kernel_density('exponential', 0.1, 0.01, 0, array([[ 1.76405235, 0.40015721, 0.97873798], ... ok
sklearn.neighbors.tests.test_kde.test_kernel_density('exponential', 0.1, 1e-06, 1e-05, array([[ 1.76405235, 0.40015721, 0.97873798], ... ok
sklearn.neighbors.tests.test_kde.test_kernel_density('exponential', 0.1, 1e-06, 1e-05, array([[ 1.76405235, 0.40015721, 0.97873798], ... ok
sklearn.neighbors.tests.test_kde.test_kernel_density('exponential', 0.1, 0.01, 1e-05, array([[ 1.76405235, 0.40015721, 0.97873798], ... ok
sklearn.neighbors.tests.test_kde.test_kernel_density('exponential', 0.1, 0.01, 1e-05, array([[ 1.76405235, 0.40015721, 0.97873798], ... ok
sklearn.neighbors.tests.test_kde.test_kernel_density('exponential', 1, 1e-06, 0, array([[ 1.76405235, 0.40015721, 0.97873798], ... ok
sklearn.neighbors.tests.test_kde.test_kernel_density('exponential', 1, 1e-06, 0, array([[ 1.76405235, 0.40015721, 0.97873798], ... ok
sklearn.neighbors.tests.test_kde.test_kernel_density('exponential', 1, 0.01, 0, array([[ 1.76405235, 0.40015721, 0.97873798], ... ok
sklearn.neighbors.tests.test_kde.test_kernel_density('exponential', 1, 0.01, 0, array([[ 1.76405235, 0.40015721, 0.97873798], ... ok
sklearn.neighbors.tests.test_kde.test_kernel_density('exponential', 1, 1e-06, 1e-05, array([[ 1.76405235, 0.40015721, 0.97873798], ... ok
sklearn.neighbors.tests.test_kde.test_kernel_density('exponential', 1, 1e-06, 1e-05, array([[ 1.76405235, 0.40015721, 0.97873798], ... ok
sklearn.neighbors.tests.test_kde.test_kernel_density('exponential', 1, 0.01, 1e-05, array([[ 1.76405235, 0.40015721, 0.97873798], ... ok
sklearn.neighbors.tests.test_kde.test_kernel_density('exponential', 1, 0.01, 1e-05, array([[ 1.76405235, 0.40015721, 0.97873798], ... ok
sklearn.neighbors.tests.test_kde.test_kernel_density('linear', 0.01, 1e-06, 0, array([[ 1.76405235, 0.40015721, 0.97873798], ... ok
sklearn.neighbors.tests.test_kde.test_kernel_density('linear', 0.01, 1e-06, 0, array([[ 1.76405235, 0.40015721, 0.97873798], ... ok
sklearn.neighbors.tests.test_kde.test_kernel_density('linear', 0.01, 0.01, 0, array([[ 1.76405235, 0.40015721, 0.97873798], ... ok
sklearn.neighbors.tests.test_kde.test_kernel_density('linear', 0.01, 0.01, 0, array([[ 1.76405235, 0.40015721, 0.97873798], ... ok
sklearn.neighbors.tests.test_kde.test_kernel_density('linear', 0.01, 1e-06, 1e-05, array([[ 1.76405235, 0.40015721, 0.97873798], ... ok
sklearn.neighbors.tests.test_kde.test_kernel_density('linear', 0.01, 1e-06, 1e-05, array([[ 1.76405235, 0.40015721, 0.97873798], ... ok
sklearn.neighbors.tests.test_kde.test_kernel_density('linear', 0.01, 0.01, 1e-05, array([[ 1.76405235, 0.40015721, 0.97873798], ... ok
sklearn.neighbors.tests.test_kde.test_kernel_density('linear', 0.01, 0.01, 1e-05, array([[ 1.76405235, 0.40015721, 0.97873798], ... ok
sklearn.neighbors.tests.test_kde.test_kernel_density('linear', 0.1, 1e-06, 0, array([[ 1.76405235, 0.40015721, 0.97873798], ... ok
sklearn.neighbors.tests.test_kde.test_kernel_density('linear', 0.1, 1e-06, 0, array([[ 1.76405235, 0.40015721, 0.97873798], ... ok
sklearn.neighbors.tests.test_kde.test_kernel_density('linear', 0.1, 0.01, 0, array([[ 1.76405235, 0.40015721, 0.97873798], ... ok
sklearn.neighbors.tests.test_kde.test_kernel_density('linear', 0.1, 0.01, 0, array([[ 1.76405235, 0.40015721, 0.97873798], ... ok
sklearn.neighbors.tests.test_kde.test_kernel_density('linear', 0.1, 1e-06, 1e-05, array([[ 1.76405235, 0.40015721, 0.97873798], ... ok
sklearn.neighbors.tests.test_kde.test_kernel_density('linear', 0.1, 1e-06, 1e-05, array([[ 1.76405235, 0.40015721, 0.97873798], ... ok
sklearn.neighbors.tests.test_kde.test_kernel_density('linear', 0.1, 0.01, 1e-05, array([[ 1.76405235, 0.40015721, 0.97873798], ... ok
sklearn.neighbors.tests.test_kde.test_kernel_density('linear', 0.1, 0.01, 1e-05, array([[ 1.76405235, 0.40015721, 0.97873798], ... ok
sklearn.neighbors.tests.test_kde.test_kernel_density('linear', 1, 1e-06, 0, array([[ 1.76405235, 0.40015721, 0.97873798], ... ok
sklearn.neighbors.tests.test_kde.test_kernel_density('linear', 1, 1e-06, 0, array([[ 1.76405235, 0.40015721, 0.97873798], ... ok
sklearn.neighbors.tests.test_kde.test_kernel_density('linear', 1, 0.01, 0, array([[ 1.76405235, 0.40015721, 0.97873798], ... ok
sklearn.neighbors.tests.test_kde.test_kernel_density('linear', 1, 0.01, 0, array([[ 1.76405235, 0.40015721, 0.97873798], ... ok
sklearn.neighbors.tests.test_kde.test_kernel_density('linear', 1, 1e-06, 1e-05, array([[ 1.76405235, 0.40015721, 0.97873798], ... ok
sklearn.neighbors.tests.test_kde.test_kernel_density('linear', 1, 1e-06, 1e-05, array([[ 1.76405235, 0.40015721, 0.97873798], ... ok
sklearn.neighbors.tests.test_kde.test_kernel_density('linear', 1, 0.01, 1e-05, array([[ 1.76405235, 0.40015721, 0.97873798], ... ok
sklearn.neighbors.tests.test_kde.test_kernel_density('linear', 1, 0.01, 1e-05, array([[ 1.76405235, 0.40015721, 0.97873798], ... ok
sklearn.neighbors.tests.test_kde.test_kernel_density('cosine', 0.01, 1e-06, 0, array([[ 1.76405235, 0.40015721, 0.97873798], ... ok
sklearn.neighbors.tests.test_kde.test_kernel_density('cosine', 0.01, 1e-06, 0, array([[ 1.76405235, 0.40015721, 0.97873798], ... ok
sklearn.neighbors.tests.test_kde.test_kernel_density('cosine', 0.01, 0.01, 0, array([[ 1.76405235, 0.40015721, 0.97873798], ... ok
sklearn.neighbors.tests.test_kde.test_kernel_density('cosine', 0.01, 0.01, 0, array([[ 1.76405235, 0.40015721, 0.97873798], ... ok
sklearn.neighbors.tests.test_kde.test_kernel_density('cosine', 0.01, 1e-06, 1e-05, array([[ 1.76405235, 0.40015721, 0.97873798], ... ok
sklearn.neighbors.tests.test_kde.test_kernel_density('cosine', 0.01, 1e-06, 1e-05, array([[ 1.76405235, 0.40015721, 0.97873798], ... ok
sklearn.neighbors.tests.test_kde.test_kernel_density('cosine', 0.01, 0.01, 1e-05, array([[ 1.76405235, 0.40015721, 0.97873798], ... ok
sklearn.neighbors.tests.test_kde.test_kernel_density('cosine', 0.01, 0.01, 1e-05, array([[ 1.76405235, 0.40015721, 0.97873798], ... ok
sklearn.neighbors.tests.test_kde.test_kernel_density('cosine', 0.1, 1e-06, 0, array([[ 1.76405235, 0.40015721, 0.97873798], ... ok
sklearn.neighbors.tests.test_kde.test_kernel_density('cosine', 0.1, 1e-06, 0, array([[ 1.76405235, 0.40015721, 0.97873798], ... ok
sklearn.neighbors.tests.test_kde.test_kernel_density('cosine', 0.1, 0.01, 0, array([[ 1.76405235, 0.40015721, 0.97873798], ... ok
sklearn.neighbors.tests.test_kde.test_kernel_density('cosine', 0.1, 0.01, 0, array([[ 1.76405235, 0.40015721, 0.97873798], ... ok
sklearn.neighbors.tests.test_kde.test_kernel_density('cosine', 0.1, 1e-06, 1e-05, array([[ 1.76405235, 0.40015721, 0.97873798], ... ok
sklearn.neighbors.tests.test_kde.test_kernel_density('cosine', 0.1, 1e-06, 1e-05, array([[ 1.76405235, 0.40015721, 0.97873798], ... ok
sklearn.neighbors.tests.test_kde.test_kernel_density('cosine', 0.1, 0.01, 1e-05, array([[ 1.76405235, 0.40015721, 0.97873798], ... ok
sklearn.neighbors.tests.test_kde.test_kernel_density('cosine', 0.1, 0.01, 1e-05, array([[ 1.76405235, 0.40015721, 0.97873798], ... ok
sklearn.neighbors.tests.test_kde.test_kernel_density('cosine', 1, 1e-06, 0, array([[ 1.76405235, 0.40015721, 0.97873798], ... ok
sklearn.neighbors.tests.test_kde.test_kernel_density('cosine', 1, 1e-06, 0, array([[ 1.76405235, 0.40015721, 0.97873798], ... ok
sklearn.neighbors.tests.test_kde.test_kernel_density('cosine', 1, 0.01, 0, array([[ 1.76405235, 0.40015721, 0.97873798], ... ok
sklearn.neighbors.tests.test_kde.test_kernel_density('cosine', 1, 0.01, 0, array([[ 1.76405235, 0.40015721, 0.97873798], ... ok
sklearn.neighbors.tests.test_kde.test_kernel_density('cosine', 1, 1e-06, 1e-05, array([[ 1.76405235, 0.40015721, 0.97873798], ... ok
sklearn.neighbors.tests.test_kde.test_kernel_density('cosine', 1, 1e-06, 1e-05, array([[ 1.76405235, 0.40015721, 0.97873798], ... ok
sklearn.neighbors.tests.test_kde.test_kernel_density('cosine', 1, 0.01, 1e-05, array([[ 1.76405235, 0.40015721, 0.97873798], ... ok
sklearn.neighbors.tests.test_kde.test_kernel_density('cosine', 1, 0.01, 1e-05, array([[ 1.76405235, 0.40015721, 0.97873798], ... ok
sklearn.neighbors.tests.test_kde.test_kernel_density_sampling ... ok
sklearn.neighbors.tests.test_kde.test_kde_algorithm_metric_choice ... ok
sklearn.neighbors.tests.test_kde.test_kde_score ... ok
sklearn.neighbors.tests.test_kde.test_kde_badargs ... ok
sklearn.neighbors.tests.test_kde.test_kde_pipeline_gridsearch ... ok
sklearn.neighbors.tests.test_lof.test_lof ... ok
sklearn.neighbors.tests.test_lof.test_lof_performance ... ok
sklearn.neighbors.tests.test_lof.test_lof_values ... ok
Tests LOF with a distance matrix. ... ok
sklearn.neighbors.tests.test_lof.test_n_neighbors_attribute ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/neighbors/lof.py:180: UserWarning: n_neighbors (500) is greater than the total number of samples (150). n_neighbors will be set to (n_samples - 1) for estimation.
% (self.n_neighbors, n_samples))
ok
sklearn.neighbors.tests.test_nearest_centroid.test_classification_toy ... ok
sklearn.neighbors.tests.test_nearest_centroid.test_precomputed ... ok
sklearn.neighbors.tests.test_nearest_centroid.test_iris ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/neighbors/nearest_centroid.py:140: UserWarning: Averaging for metrics other than euclidean and manhattan not supported. The average is set to be the mean.
warnings.warn("Averaging for metrics other than "
ok
sklearn.neighbors.tests.test_nearest_centroid.test_iris_shrinkage ... ok
sklearn.neighbors.tests.test_nearest_centroid.test_pickle ... ok
sklearn.neighbors.tests.test_nearest_centroid.test_shrinkage_correct ... ok
sklearn.neighbors.tests.test_nearest_centroid.test_shrinkage_threshold_decoded_y ... ok
sklearn.neighbors.tests.test_nearest_centroid.test_predict_translated_data ... ok
sklearn.neighbors.tests.test_nearest_centroid.test_manhattan_metric ... ok
sklearn.neighbors.tests.test_neighbors.test_unsupervised_kneighbors ... ok
sklearn.neighbors.tests.test_neighbors.test_unsupervised_inputs ... ok
Tests unsupervised NearestNeighbors with a distance matrix. ... ok
sklearn.neighbors.tests.test_neighbors.test_precomputed_cross_validation ... ok
sklearn.neighbors.tests.test_neighbors.test_unsupervised_radius_neighbors ... ok
sklearn.neighbors.tests.test_neighbors.test_kneighbors_classifier ... ok
sklearn.neighbors.tests.test_neighbors.test_kneighbors_classifier_float_labels ... ok
sklearn.neighbors.tests.test_neighbors.test_kneighbors_classifier_predict_proba ... ok
sklearn.neighbors.tests.test_neighbors.test_pairwise_boolean_distance ... ok
sklearn.neighbors.tests.test_neighbors.test_radius_neighbors_classifier ... ok
sklearn.neighbors.tests.test_neighbors.test_radius_neighbors_classifier_when_no_neighbors ... ok
sklearn.neighbors.tests.test_neighbors.test_radius_neighbors_classifier_outlier_labeling ... ok
sklearn.neighbors.tests.test_neighbors.test_radius_neighbors_classifier_zero_distance ... ok
sklearn.neighbors.tests.test_neighbors.test_neighbors_regressors_zero_distance ... ok
Test whether points lying on boundary are handled consistently ... ok
sklearn.neighbors.tests.test_neighbors.test_RadiusNeighborsClassifier_multioutput ... ok
sklearn.neighbors.tests.test_neighbors.test_kneighbors_classifier_sparse ... ok
sklearn.neighbors.tests.test_neighbors.test_KNeighborsClassifier_multioutput ... ok
sklearn.neighbors.tests.test_neighbors.test_kneighbors_regressor ... ok
sklearn.neighbors.tests.test_neighbors.test_KNeighborsRegressor_multioutput_uniform_weight ... ok
sklearn.neighbors.tests.test_neighbors.test_kneighbors_regressor_multioutput ... ok
sklearn.neighbors.tests.test_neighbors.test_radius_neighbors_regressor ... ok
sklearn.neighbors.tests.test_neighbors.test_RadiusNeighborsRegressor_multioutput_with_uniform_weight ... ok
sklearn.neighbors.tests.test_neighbors.test_RadiusNeighborsRegressor_multioutput ... ok
sklearn.neighbors.tests.test_neighbors.test_kneighbors_regressor_sparse ... ok
sklearn.neighbors.tests.test_neighbors.test_neighbors_iris ... ok
sklearn.neighbors.tests.test_neighbors.test_neighbors_digits ... ok
sklearn.neighbors.tests.test_neighbors.test_kneighbors_graph ... ok
sklearn.neighbors.tests.test_neighbors.test_kneighbors_graph_sparse ... ok
sklearn.neighbors.tests.test_neighbors.test_radius_neighbors_graph ... ok
sklearn.neighbors.tests.test_neighbors.test_radius_neighbors_graph_sparse ... ok
sklearn.neighbors.tests.test_neighbors.test_neighbors_badargs ... ok
sklearn.neighbors.tests.test_neighbors.test_neighbors_metrics ... ok
sklearn.neighbors.tests.test_neighbors.test_callable_metric ... ok
sklearn.neighbors.tests.test_neighbors.test_valid_brute_metric_for_auto_algorithm ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/validation.py:475: DataConversionWarning: Data with input dtype float64 was converted to bool by check_pairwise_arrays.
warnings.warn(msg, DataConversionWarning)
ok
sklearn.neighbors.tests.test_neighbors.test_metric_params_interface ... ok
sklearn.neighbors.tests.test_neighbors.test_predict_sparse_ball_kd_tree ... ok
sklearn.neighbors.tests.test_neighbors.test_non_euclidean_kneighbors ... ok
sklearn.neighbors.tests.test_neighbors.test_k_and_radius_neighbors_train_is_not_query ... ok
sklearn.neighbors.tests.test_neighbors.test_k_and_radius_neighbors_X_None ... ok
sklearn.neighbors.tests.test_neighbors.test_k_and_radius_neighbors_duplicates ... ok
sklearn.neighbors.tests.test_neighbors.test_include_self_neighbors_graph ... ok
sklearn.neighbors.tests.test_neighbors.test_same_knn_parallel('ball_tree',) ... ok
sklearn.neighbors.tests.test_neighbors.test_same_knn_parallel('brute',) ... ok
sklearn.neighbors.tests.test_neighbors.test_same_knn_parallel('kd_tree',) ... ok
sklearn.neighbors.tests.test_neighbors.test_same_knn_parallel('auto',) ... ok
sklearn.neighbors.tests.test_neighbors.test_dtype_convert ... ok
sklearn.neighbors.tests.test_quad_tree.test_quadtree_boundary_computation ... ok
sklearn.neighbors.tests.test_quad_tree.test_quadtree_similar_point ... ok
sklearn.neighbors.tests.test_quad_tree.test_quad_tree_pickle(0,) ... ok
sklearn.neighbors.tests.test_quad_tree.test_quad_tree_pickle(1,) ... ok
sklearn.neighbors.tests.test_quad_tree.test_quad_tree_pickle(2,) ... ok
sklearn.neighbors.tests.test_quad_tree.test_quad_tree_pickle(0,) ... ok
sklearn.neighbors.tests.test_quad_tree.test_quad_tree_pickle(1,) ... ok
sklearn.neighbors.tests.test_quad_tree.test_quad_tree_pickle(2,) ... ok
sklearn.neighbors.tests.test_quad_tree.test_qt_insert_duplicate(2,) ... ok
sklearn.neighbors.tests.test_quad_tree.test_qt_insert_duplicate(3,) ... ok
sklearn.neighbors.tests.test_quad_tree.test_summarize ... ok
sklearn.neural_network.tests.test_mlp.test_alpha ... ok
sklearn.neural_network.tests.test_mlp.test_fit ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/neural_network/multilayer_perceptron.py:927: DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty.
if np.setdiff1d(classes, self.classes_, assume_unique=True):
ok
sklearn.neural_network.tests.test_mlp.test_gradient ... ok
sklearn.neural_network.tests.test_mlp.test_lbfgs_classification ... ok
sklearn.neural_network.tests.test_mlp.test_lbfgs_regression ... ok
sklearn.neural_network.tests.test_mlp.test_learning_rate_warmstart ... ok
sklearn.neural_network.tests.test_mlp.test_warm_start ... ok
sklearn.neural_network.tests.test_mlp.test_multilabel_classification ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/neural_network/multilayer_perceptron.py:927: DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty.
if np.setdiff1d(classes, self.classes_, assume_unique=True):
ok
sklearn.neural_network.tests.test_mlp.test_multioutput_regression ... ok
sklearn.neural_network.tests.test_mlp.test_partial_fit_classes_error ... ok
sklearn.neural_network.tests.test_mlp.test_partial_fit_classification ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/neural_network/multilayer_perceptron.py:927: DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty.
if np.setdiff1d(classes, self.classes_, assume_unique=True):
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/neural_network/multilayer_perceptron.py:927: DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty.
if np.setdiff1d(classes, self.classes_, assume_unique=True):
ok
sklearn.neural_network.tests.test_mlp.test_partial_fit_unseen_classes ... ok
sklearn.neural_network.tests.test_mlp.test_partial_fit_regression ... ok
sklearn.neural_network.tests.test_mlp.test_partial_fit_errors ... ok
sklearn.neural_network.tests.test_mlp.test_params_errors ... ok
sklearn.neural_network.tests.test_mlp.test_predict_proba_binary ... ok
sklearn.neural_network.tests.test_mlp.test_predict_proba_multiclass ... ok
sklearn.neural_network.tests.test_mlp.test_predict_proba_multilabel ... ok
sklearn.neural_network.tests.test_mlp.test_sparse_matrices ... ok
sklearn.neural_network.tests.test_mlp.test_tolerance ... ok
sklearn.neural_network.tests.test_mlp.test_verbose_sgd ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/neural_network/multilayer_perceptron.py:927: DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty.
if np.setdiff1d(classes, self.classes_, assume_unique=True):
ok
sklearn.neural_network.tests.test_mlp.test_early_stopping ... ok
sklearn.neural_network.tests.test_mlp.test_adaptive_learning_rate ... ok
sklearn.neural_network.tests.test_rbm.test_fit ... ok
sklearn.neural_network.tests.test_rbm.test_partial_fit ... ok
sklearn.neural_network.tests.test_rbm.test_transform ... ok
sklearn.neural_network.tests.test_rbm.test_small_sparse ... ok
sklearn.neural_network.tests.test_rbm.test_small_sparse_partial_fit ... ok
sklearn.neural_network.tests.test_rbm.test_sample_hiddens ... ok
sklearn.neural_network.tests.test_rbm.test_fit_gibbs ... ok
sklearn.neural_network.tests.test_rbm.test_fit_gibbs_sparse ... ok
sklearn.neural_network.tests.test_rbm.test_gibbs_smoke ... ok
sklearn.neural_network.tests.test_rbm.test_score_samples ... ok
sklearn.neural_network.tests.test_rbm.test_rbm_verbose ... ok
sklearn.neural_network.tests.test_rbm.test_sparse_and_verbose ... ok
sklearn.neural_network.tests.test_stochastic_optimizers.test_base_optimizer ... ok
sklearn.neural_network.tests.test_stochastic_optimizers.test_sgd_optimizer_no_momentum ... ok
sklearn.neural_network.tests.test_stochastic_optimizers.test_sgd_optimizer_momentum ... ok
sklearn.neural_network.tests.test_stochastic_optimizers.test_sgd_optimizer_trigger_stopping ... ok
sklearn.neural_network.tests.test_stochastic_optimizers.test_sgd_optimizer_nesterovs_momentum ... ok
sklearn.neural_network.tests.test_stochastic_optimizers.test_adam_optimizer ... ok
sklearn.preprocessing.tests.test_data.test_polynomial_features ... ok
sklearn.preprocessing.tests.test_data.test_polynomial_feature_names ... ok
sklearn.preprocessing.tests.test_data.test_standard_scaler_1d ... ok
sklearn.preprocessing.tests.test_data.test_scale_1d ... ok
sklearn.preprocessing.tests.test_data.test_scaler_2d_arrays ... ok
sklearn.preprocessing.tests.test_data.test_handle_zeros_in_scale ... ok
sklearn.preprocessing.tests.test_data.test_minmax_scaler_partial_fit ... ok
sklearn.preprocessing.tests.test_data.test_standard_scaler_partial_fit ... ok
sklearn.preprocessing.tests.test_data.test_standard_scaler_partial_fit_numerical_stability ... ok
sklearn.preprocessing.tests.test_data.test_partial_fit_sparse_input ... ok
sklearn.preprocessing.tests.test_data.test_standard_scaler_trasform_with_partial_fit ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/preprocessing/tests/test_data.py:484: RuntimeWarning: underflow encountered in nextafter
epsilon = np.nextafter(0, 1)
ok
sklearn.preprocessing.tests.test_data.test_min_max_scaler_iris ... ok
sklearn.preprocessing.tests.test_data.test_min_max_scaler_zero_variance_features ... ok
sklearn.preprocessing.tests.test_data.test_minmax_scale_axis1 ... ok
sklearn.preprocessing.tests.test_data.test_min_max_scaler_1d ... ok
sklearn.preprocessing.tests.test_data.test_scaler_without_centering ... ok
sklearn.preprocessing.tests.test_data.test_standard_scaler_numerical_stability ... SKIP: Test skipped on 32bit platforms.
sklearn.preprocessing.tests.test_data.test_scaler_int ... ok
sklearn.preprocessing.tests.test_data.test_scaler_without_copy ... ok
sklearn.preprocessing.tests.test_data.test_scale_sparse_with_mean_raise_exception ... ok
sklearn.preprocessing.tests.test_data.test_scale_input_finiteness_validation ... ok
sklearn.preprocessing.tests.test_data.test_robust_scaler_2d_arrays ... ok
sklearn.preprocessing.tests.test_data.test_robust_scaler_transform_one_row_csr ... ok
sklearn.preprocessing.tests.test_data.test_robust_scaler_iris ... ok
sklearn.preprocessing.tests.test_data.test_robust_scaler_iris_quantiles ... ok
sklearn.preprocessing.tests.test_data.test_quantile_transform_iris ... ok
sklearn.preprocessing.tests.test_data.test_quantile_transform_check_error ... ok
sklearn.preprocessing.tests.test_data.test_quantile_transform_sparse_ignore_zeros ... ok
sklearn.preprocessing.tests.test_data.test_quantile_transform_dense_toy ... ok
sklearn.preprocessing.tests.test_data.test_quantile_transform_subsampling ... ok
sklearn.preprocessing.tests.test_data.test_quantile_transform_sparse_toy ... ok
sklearn.preprocessing.tests.test_data.test_quantile_transform_axis1 ... ok
sklearn.preprocessing.tests.test_data.test_quantile_transform_bounds ... ok
sklearn.preprocessing.tests.test_data.test_quantile_transform_and_inverse ... ok
sklearn.preprocessing.tests.test_data.test_robust_scaler_invalid_range ... ok
sklearn.preprocessing.tests.test_data.test_scale_function_without_centering ... ok
sklearn.preprocessing.tests.test_data.test_robust_scale_axis1 ... ok
sklearn.preprocessing.tests.test_data.test_robust_scaler_zero_variance_features ... ok
sklearn.preprocessing.tests.test_data.test_maxabs_scaler_zero_variance_features ... ok
sklearn.preprocessing.tests.test_data.test_maxabs_scaler_large_negative_value ... ok
sklearn.preprocessing.tests.test_data.test_maxabs_scaler_transform_one_row_csr ... ok
sklearn.preprocessing.tests.test_data.test_warning_scaling_integers ... ok
sklearn.preprocessing.tests.test_data.test_maxabs_scaler_1d ... ok
sklearn.preprocessing.tests.test_data.test_maxabs_scaler_partial_fit ... ok
sklearn.preprocessing.tests.test_data.test_normalizer_l1 ... ok
sklearn.preprocessing.tests.test_data.test_normalizer_l2 ... ok
sklearn.preprocessing.tests.test_data.test_normalizer_max ... ok
sklearn.preprocessing.tests.test_data.test_normalize ... ok
sklearn.preprocessing.tests.test_data.test_binarizer ... ok
sklearn.preprocessing.tests.test_data.test_center_kernel ... ok
sklearn.preprocessing.tests.test_data.test_cv_pipeline_precomputed ... ok
sklearn.preprocessing.tests.test_data.test_fit_transform ... ok
sklearn.preprocessing.tests.test_data.test_add_dummy_feature ... ok
sklearn.preprocessing.tests.test_data.test_add_dummy_feature_coo ... ok
sklearn.preprocessing.tests.test_data.test_add_dummy_feature_csc ... ok
sklearn.preprocessing.tests.test_data.test_add_dummy_feature_csr ... ok
sklearn.preprocessing.tests.test_data.test_one_hot_encoder_sparse ... ok
sklearn.preprocessing.tests.test_data.test_one_hot_encoder_dense ... ok
sklearn.preprocessing.tests.test_data.test_transform_selected ... ok
sklearn.preprocessing.tests.test_data.test_transform_selected_copy_arg ... ok
sklearn.preprocessing.tests.test_data.test_one_hot_encoder_categorical_features ... ok
sklearn.preprocessing.tests.test_data.test_one_hot_encoder_unknown_transform ... ok
sklearn.preprocessing.tests.test_data.test_fit_cold_start ... ok
sklearn.preprocessing.tests.test_data.test_quantile_transform_valid_axis ... ok
sklearn.preprocessing.tests.test_function_transformer.test_delegate_to_func ... ok
sklearn.preprocessing.tests.test_function_transformer.test_np_log ... ok
sklearn.preprocessing.tests.test_function_transformer.test_kw_arg ... ok
sklearn.preprocessing.tests.test_function_transformer.test_kw_arg_update ... ok
sklearn.preprocessing.tests.test_function_transformer.test_kw_arg_reset ... ok
sklearn.preprocessing.tests.test_function_transformer.test_inverse_transform ... ok
sklearn.preprocessing.tests.test_imputation.test_imputation_shape ... ok
sklearn.preprocessing.tests.test_imputation.test_imputation_mean_median_only_zero ... /usr/lib/python3/dist-packages/numpy/lib/function_base.py:4033: RuntimeWarning: Invalid value encountered in median for 1 results
r = func(a, **kwargs)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/sparsefuncs.py:421: RuntimeWarning: invalid value encountered in less
n_negative = np.count_nonzero(data < 0)
ok
sklearn.preprocessing.tests.test_imputation.test_imputation_mean_median ... /usr/lib/python3/dist-packages/numpy/core/fromnumeric.py:2957: RuntimeWarning: Mean of empty slice.
out=out, **kwargs)
/usr/lib/python3/dist-packages/numpy/core/_methods.py:80: RuntimeWarning: invalid value encountered in double_scalars
ret = ret.dtype.type(ret / rcount)
ok
sklearn.preprocessing.tests.test_imputation.test_imputation_median_special_cases ... ok
sklearn.preprocessing.tests.test_imputation.test_imputation_most_frequent ... ok
sklearn.preprocessing.tests.test_imputation.test_imputation_pipeline_grid_search ... ok
sklearn.preprocessing.tests.test_imputation.test_imputation_pickle ... ok
sklearn.preprocessing.tests.test_imputation.test_imputation_copy ... ok
sklearn.preprocessing.tests.test_label.test_label_binarizer ... ok
sklearn.preprocessing.tests.test_label.test_label_binarizer_unseen_labels ... ok
sklearn.preprocessing.tests.test_label.test_label_binarizer_set_label_encoding ... ok
sklearn.preprocessing.tests.test_label.test_label_encoder ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/preprocessing/label.py:151: DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty.
if diff:
ok
sklearn.preprocessing.tests.test_label.test_label_encoder_fit_transform ... ok
sklearn.preprocessing.tests.test_label.test_label_encoder_errors ... ok
sklearn.preprocessing.tests.test_label.test_sparse_output_multilabel_binarizer ... ok
sklearn.preprocessing.tests.test_label.test_multilabel_binarizer ... ok
sklearn.preprocessing.tests.test_label.test_multilabel_binarizer_empty_sample ... ok
sklearn.preprocessing.tests.test_label.test_label_binarizer_errors ... ok
sklearn.preprocessing.tests.test_label.test_multilabel_binarizer_unknown_class ... ok
sklearn.preprocessing.tests.test_label.test_multilabel_binarizer_given_classes ... ok
sklearn.preprocessing.tests.test_label.test_multilabel_binarizer_same_length_sequence ... ok
sklearn.preprocessing.tests.test_label.test_multilabel_binarizer_non_integer_labels ... ok
sklearn.preprocessing.tests.test_label.test_multilabel_binarizer_non_unique ... ok
sklearn.preprocessing.tests.test_label.test_multilabel_binarizer_inverse_validation ... ok
sklearn.preprocessing.tests.test_label.test_label_binarize_with_class_order ... ok
sklearn.preprocessing.tests.test_label.test_label_binarize_binary([0, 1, 0], [0, 1], 2, -1, array([[-1], ... ok
sklearn.preprocessing.tests.test_label.test_label_binarize_binary([0, 1, 0], [0, 1], 3, 0, array([[0], ... ok
sklearn.preprocessing.tests.test_label.test_label_binarize_multiclass([0, 1, 2], [0, 1, 2], 2, 0, array([[2., 0., 0.], ... ok
sklearn.preprocessing.tests.test_label.test_label_binarize_multilabel(array([[0, 1, 0], ... ok
sklearn.preprocessing.tests.test_label.test_label_binarize_multilabel(<3x3 sparse matrix of type '<class 'numpy.int32'>' ... ok
sklearn.preprocessing.tests.test_label.test_label_binarize_multilabel(<3x3 sparse matrix of type '<class 'numpy.int32'>' ... ok
sklearn.preprocessing.tests.test_label.test_label_binarize_multilabel(<3x3 sparse matrix of type '<class 'numpy.int32'>' ... ok
sklearn.preprocessing.tests.test_label.test_label_binarize_multilabel(<3x3 sparse matrix of type '<class 'numpy.int32'>' ... ok
sklearn.preprocessing.tests.test_label.test_label_binarize_multilabel(<3x3 sparse matrix of type '<class 'numpy.int32'>' ... ok
sklearn.preprocessing.tests.test_label.test_invalid_input_label_binarize ... ok
sklearn.preprocessing.tests.test_label.test_inverse_binarize_multiclass ... ok
sklearn.semi_supervised.tests.test_label_propagation.test_fit_transduction ... ok
sklearn.semi_supervised.tests.test_label_propagation.test_distribution ... ok
sklearn.semi_supervised.tests.test_label_propagation.test_predict ... ok
sklearn.semi_supervised.tests.test_label_propagation.test_predict_proba ... ok
sklearn.semi_supervised.tests.test_label_propagation.test_alpha_deprecation ... ok
sklearn.semi_supervised.tests.test_label_propagation.test_label_spreading_closed_form ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/metrics/pairwise.py:844: RuntimeWarning: underflow encountered in exp
np.exp(K, K) # exponentiate K in-place
ok
sklearn.semi_supervised.tests.test_label_propagation.test_label_propagation_closed_form ... ok
sklearn.semi_supervised.tests.test_label_propagation.test_valid_alpha ... ok
sklearn.semi_supervised.tests.test_label_propagation.test_convergence_speed ... ok
sklearn.semi_supervised.tests.test_label_propagation.test_convergence_warning ... ok
Test l1_min_c loss='squared_hinge' sparse two-classes no-intercept ... ok
Test l1_min_c loss='squared_hinge' sparse two-classes fit-intercept ... ok
Test l1_min_c loss='squared_hinge' sparse multi-class no-intercept ... ok
Test l1_min_c loss='squared_hinge' sparse multi-class fit-intercept ... ok
Test l1_min_c loss='squared_hinge' dense two-classes no-intercept ... ok
Test l1_min_c loss='squared_hinge' dense two-classes fit-intercept ... ok
Test l1_min_c loss='squared_hinge' dense multi-class no-intercept ... ok
Test l1_min_c loss='squared_hinge' dense multi-class fit-intercept ... ok
Test l1_min_c loss='log' sparse two-classes no-intercept ... ok
Test l1_min_c loss='log' sparse two-classes fit-intercept ... ok
Test l1_min_c loss='log' sparse multi-class no-intercept ... ok
Test l1_min_c loss='log' sparse multi-class fit-intercept ... ok
Test l1_min_c loss='log' dense two-classes no-intercept ... ok
Test l1_min_c loss='log' dense two-classes fit-intercept ... ok
Test l1_min_c loss='log' dense multi-class no-intercept ... ok
Test l1_min_c loss='log' dense multi-class fit-intercept ... ok
sklearn.svm.tests.test_bounds.test_ill_posed_min_c ... ok
sklearn.svm.tests.test_bounds.test_unsupported_loss ... ok
Check that sparse SVC gives the same result as SVC ... ok
sklearn.svm.tests.test_sparse.test_unsorted_indices ... ok
sklearn.svm.tests.test_sparse.test_svc_with_custom_kernel ... ok
sklearn.svm.tests.test_sparse.test_svc_iris ... ok
sklearn.svm.tests.test_sparse.test_sparse_decision_function ... ok
sklearn.svm.tests.test_sparse.test_error ... ok
sklearn.svm.tests.test_sparse.test_linearsvc ... ok
sklearn.svm.tests.test_sparse.test_linearsvc_iris ... ok
sklearn.svm.tests.test_sparse.test_weight ... ok
sklearn.svm.tests.test_sparse.test_sample_weights ... ok
sklearn.svm.tests.test_sparse.test_sparse_liblinear_intercept_handling ... ok
Check that sparse OneClassSVM gives the same result as dense OneClassSVM ... ok
sklearn.svm.tests.test_sparse.test_sparse_realdata ... ok
sklearn.svm.tests.test_sparse.test_sparse_svc_clone_with_callable_kernel ... ok
sklearn.svm.tests.test_sparse.test_timeout ... ok
sklearn.svm.tests.test_sparse.test_consistent_proba ... ok
sklearn.svm.tests.test_svm.test_libsvm_parameters ... ok
sklearn.svm.tests.test_svm.test_libsvm_iris ... ok
sklearn.svm.tests.test_svm.test_precomputed ... ok
sklearn.svm.tests.test_svm.test_svr ... ok
sklearn.svm.tests.test_svm.test_linearsvr ... ok
sklearn.svm.tests.test_svm.test_linearsvr_fit_sampleweight ... ok
sklearn.svm.tests.test_svm.test_svr_errors ... ok
sklearn.svm.tests.test_svm.test_oneclass ... ok
sklearn.svm.tests.test_svm.test_oneclass_decision_function ... ok
sklearn.svm.tests.test_svm.test_tweak_params ... ok
sklearn.svm.tests.test_svm.test_consistent_proba ... ok
sklearn.svm.tests.test_svm.test_probability ... ok
sklearn.svm.tests.test_svm.test_decision_function ... ok
sklearn.svm.tests.test_svm.test_decision_function_shape ... ok
sklearn.svm.tests.test_svm.test_svr_predict ... ok
sklearn.svm.tests.test_svm.test_weight ... ok
sklearn.svm.tests.test_svm.test_sample_weights ... ok
sklearn.svm.tests.test_svm.test_auto_weight ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/metrics/classification.py:1135: UndefinedMetricWarning: F-score is ill-defined and being set to 0.0 in labels with no predicted samples.
'precision', 'predicted', average, warn_for)
ok
sklearn.svm.tests.test_svm.test_bad_input ... ok
sklearn.svm.tests.test_svm.test_unicode_kernel ... ok
sklearn.svm.tests.test_svm.test_sparse_precomputed ... ok
sklearn.svm.tests.test_svm.test_linearsvc_parameters ... ok
sklearn.svm.tests.test_svm.test_linearsvx_loss_penalty_deprecations ... ok
sklearn.svm.tests.test_svm.test_linear_svx_uppercase_loss_penality_raises_error ... ok
sklearn.svm.tests.test_svm.test_linearsvc ... ok
sklearn.svm.tests.test_svm.test_linearsvc_crammer_singer ... ok
sklearn.svm.tests.test_svm.test_linearsvc_fit_sampleweight ... ok
sklearn.svm.tests.test_svm.test_crammer_singer_binary ... ok
sklearn.svm.tests.test_svm.test_linearsvc_iris ... ok
sklearn.svm.tests.test_svm.test_dense_liblinear_intercept_handling ... ok
sklearn.svm.tests.test_svm.test_liblinear_set_coef ... ok
sklearn.svm.tests.test_svm.test_immutable_coef_property ... ok
sklearn.svm.tests.test_svm.test_linearsvc_verbose ... ok
sklearn.svm.tests.test_svm.test_svc_clone_with_callable_kernel ... ok
sklearn.svm.tests.test_svm.test_svc_bad_kernel ... ok
sklearn.svm.tests.test_svm.test_timeout ... ok
sklearn.svm.tests.test_svm.test_unfitted ... ok
sklearn.svm.tests.test_svm.test_linear_svc_convergence_warnings ...
optimization finished, #iter = 2
WARNING: reaching max number of iterations
Using -s 2 may be faster (also see FAQ)
Objective value = -0.222179
nSV = 2
ok
sklearn.svm.tests.test_svm.test_svr_coef_sign ... ok
sklearn.svm.tests.test_svm.test_linear_svc_intercept_scaling ... ok
sklearn.svm.tests.test_svm.test_lsvc_intercept_scaling_zero ... ok
sklearn.svm.tests.test_svm.test_hasattr_predict_proba ... ok
sklearn.svm.tests.test_svm.test_decision_function_shape_two_class ... ok
sklearn.svm.tests.test_svm.test_ovr_decision_function ... ok
sklearn.tree.tests.test_export.test_graphviz_toy ... ok
sklearn.tree.tests.test_export.test_graphviz_errors ... ok
sklearn.tree.tests.test_export.test_friedman_mse_in_graphviz ... ok
sklearn.tree.tests.test_export.test_precision ... ok
sklearn.tree.tests.test_tree.test_classification_toy ... ok
sklearn.tree.tests.test_tree.test_weighted_classification_toy ... ok
sklearn.tree.tests.test_tree.test_regression_toy ... ok
sklearn.tree.tests.test_tree.test_xor ... ok
sklearn.tree.tests.test_tree.test_iris ... ok
sklearn.tree.tests.test_tree.test_boston ... ok
sklearn.tree.tests.test_tree.test_1d_input ... ok
sklearn.tree.tests.test_tree.test_probability ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tree/tree.py:864: RuntimeWarning: divide by zero encountered in log
return np.log(proba)
ok
sklearn.tree.tests.test_tree.test_arrayrepr ... ok
sklearn.tree.tests.test_tree.test_pure_set ... ok
sklearn.tree.tests.test_tree.test_numerical_stability ... ok
sklearn.tree.tests.test_tree.test_importances ... ok
sklearn.tree.tests.test_tree.test_importances_raises ... ok
sklearn.tree.tests.test_tree.test_importances_gini_equal_mse ... ok
sklearn.tree.tests.test_tree.test_max_features ... ok
sklearn.tree.tests.test_tree.test_error ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tree/tree.py:282: DeprecationWarning: The min_impurity_split parameter is deprecated and will be removed in version 0.21. Use the min_impurity_decrease parameter instead.
DeprecationWarning)
ok
Test min_samples_split parameter ... ok
sklearn.tree.tests.test_tree.test_min_samples_leaf ... ok
sklearn.tree.tests.test_tree.test_min_weight_fraction_leaf('DecisionTreeClassifier', 'iris') ... ok
sklearn.tree.tests.test_tree.test_min_weight_fraction_leaf('Presort-DecisionTreeClassifier', 'iris') ... ok
sklearn.tree.tests.test_tree.test_min_weight_fraction_leaf('ExtraTreeClassifier', 'iris') ... ok
sklearn.tree.tests.test_tree.test_min_weight_fraction_leaf('DecisionTreeRegressor', 'iris') ... ok
sklearn.tree.tests.test_tree.test_min_weight_fraction_leaf('Presort-DecisionTreeRegressor', 'iris') ... ok
sklearn.tree.tests.test_tree.test_min_weight_fraction_leaf('ExtraTreeRegressor', 'iris') ... ok
sklearn.tree.tests.test_tree.test_min_weight_fraction_leaf('DecisionTreeClassifier', 'multilabel', True) ... ok
sklearn.tree.tests.test_tree.test_min_weight_fraction_leaf('DecisionTreeRegressor', 'multilabel', True) ... ok
sklearn.tree.tests.test_tree.test_min_weight_fraction_leaf('ExtraTreeClassifier', 'multilabel', True) ... ok
sklearn.tree.tests.test_tree.test_min_weight_fraction_leaf('ExtraTreeRegressor', 'multilabel', True) ... ok
sklearn.tree.tests.test_tree.test_min_weight_fraction_leaf_with_min_samples_leaf('DecisionTreeClassifier', 'iris') ... ok
sklearn.tree.tests.test_tree.test_min_weight_fraction_leaf_with_min_samples_leaf('Presort-DecisionTreeClassifier', 'iris') ... ok
sklearn.tree.tests.test_tree.test_min_weight_fraction_leaf_with_min_samples_leaf('ExtraTreeClassifier', 'iris') ... ok
sklearn.tree.tests.test_tree.test_min_weight_fraction_leaf_with_min_samples_leaf('DecisionTreeRegressor', 'iris') ... ok
sklearn.tree.tests.test_tree.test_min_weight_fraction_leaf_with_min_samples_leaf('Presort-DecisionTreeRegressor', 'iris') ... ok
sklearn.tree.tests.test_tree.test_min_weight_fraction_leaf_with_min_samples_leaf('ExtraTreeRegressor', 'iris') ... ok
sklearn.tree.tests.test_tree.test_min_weight_fraction_leaf_with_min_samples_leaf('DecisionTreeClassifier', 'multilabel', True) ... ok
sklearn.tree.tests.test_tree.test_min_weight_fraction_leaf_with_min_samples_leaf('DecisionTreeRegressor', 'multilabel', True) ... ok
sklearn.tree.tests.test_tree.test_min_weight_fraction_leaf_with_min_samples_leaf('ExtraTreeClassifier', 'multilabel', True) ... ok
sklearn.tree.tests.test_tree.test_min_weight_fraction_leaf_with_min_samples_leaf('ExtraTreeRegressor', 'multilabel', True) ... ok
sklearn.tree.tests.test_tree.test_min_impurity_split ... ok
sklearn.tree.tests.test_tree.test_min_impurity_decrease ... ok
sklearn.tree.tests.test_tree.test_multioutput ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tree/tree.py:868: RuntimeWarning: divide by zero encountered in log
proba[k] = np.log(proba[k])
ok
sklearn.tree.tests.test_tree.test_classes_shape ... ok
sklearn.tree.tests.test_tree.test_unbalanced_iris ... ok
sklearn.tree.tests.test_tree.test_memory_layout ... ok
sklearn.tree.tests.test_tree.test_sample_weight ... ok
sklearn.tree.tests.test_tree.test_sample_weight_invalid ... ok
sklearn.tree.tests.test_tree.test_class_weights('DecisionTreeClassifier',) ... ok
sklearn.tree.tests.test_tree.test_class_weights('Presort-DecisionTreeClassifier',) ... ok
sklearn.tree.tests.test_tree.test_class_weights('ExtraTreeClassifier',) ... ok
sklearn.tree.tests.test_tree.test_class_weight_errors('DecisionTreeClassifier',) ... ok
sklearn.tree.tests.test_tree.test_class_weight_errors('Presort-DecisionTreeClassifier',) ... ok
sklearn.tree.tests.test_tree.test_class_weight_errors('ExtraTreeClassifier',) ... ok
sklearn.tree.tests.test_tree.test_max_leaf_nodes ... ok
sklearn.tree.tests.test_tree.test_max_leaf_nodes_max_depth ... ok
sklearn.tree.tests.test_tree.test_arrays_persist ... ok
sklearn.tree.tests.test_tree.test_only_constant_features ... ok
sklearn.tree.tests.test_tree.test_behaviour_constant_feature_after_splits ... ok
sklearn.tree.tests.test_tree.test_with_only_one_non_constant_features ... ok
sklearn.tree.tests.test_tree.test_big_input ... ok
sklearn.tree.tests.test_tree.test_realloc ... ok
sklearn.tree.tests.test_tree.test_huge_allocations ... ok
sklearn.tree.tests.test_tree.test_sparse_input('DecisionTreeClassifier', 'clf_small', None) ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tree/tree.py:864: RuntimeWarning: divide by zero encountered in log
return np.log(proba)
ok
sklearn.tree.tests.test_tree.test_sparse_input('DecisionTreeClassifier', 'toy', None) ... ok
sklearn.tree.tests.test_tree.test_sparse_input('DecisionTreeClassifier', 'digits', 3) ... ok
sklearn.tree.tests.test_tree.test_sparse_input('DecisionTreeClassifier', 'multilabel', None) ... ok
sklearn.tree.tests.test_tree.test_sparse_input('DecisionTreeClassifier', 'sparse-pos', None) ... ok
sklearn.tree.tests.test_tree.test_sparse_input('DecisionTreeClassifier', 'sparse-neg', None) ... ok
sklearn.tree.tests.test_tree.test_sparse_input('DecisionTreeClassifier', 'sparse-mix', None) ... ok
sklearn.tree.tests.test_tree.test_sparse_input('DecisionTreeClassifier', 'zeros', None) ... ok
sklearn.tree.tests.test_tree.test_sparse_input('DecisionTreeRegressor', 'clf_small', None) ... ok
sklearn.tree.tests.test_tree.test_sparse_input('DecisionTreeRegressor', 'toy', None) ... ok
sklearn.tree.tests.test_tree.test_sparse_input('DecisionTreeRegressor', 'digits', 3) ... ok
sklearn.tree.tests.test_tree.test_sparse_input('DecisionTreeRegressor', 'multilabel', None) ... ok
sklearn.tree.tests.test_tree.test_sparse_input('DecisionTreeRegressor', 'sparse-pos', None) ... ok
sklearn.tree.tests.test_tree.test_sparse_input('DecisionTreeRegressor', 'sparse-neg', None) ... ok
sklearn.tree.tests.test_tree.test_sparse_input('DecisionTreeRegressor', 'sparse-mix', None) ... ok
sklearn.tree.tests.test_tree.test_sparse_input('DecisionTreeRegressor', 'zeros', None) ... ok
sklearn.tree.tests.test_tree.test_sparse_input('ExtraTreeClassifier', 'clf_small', None) ... ok
sklearn.tree.tests.test_tree.test_sparse_input('ExtraTreeClassifier', 'toy', None) ... ok
sklearn.tree.tests.test_tree.test_sparse_input('ExtraTreeClassifier', 'digits', 3) ... ok
sklearn.tree.tests.test_tree.test_sparse_input('ExtraTreeClassifier', 'multilabel', None) ... ok
sklearn.tree.tests.test_tree.test_sparse_input('ExtraTreeClassifier', 'sparse-pos', None) ... ok
sklearn.tree.tests.test_tree.test_sparse_input('ExtraTreeClassifier', 'sparse-neg', None) ... ok
sklearn.tree.tests.test_tree.test_sparse_input('ExtraTreeClassifier', 'sparse-mix', None) ... ok
sklearn.tree.tests.test_tree.test_sparse_input('ExtraTreeClassifier', 'zeros', None) ... ok
sklearn.tree.tests.test_tree.test_sparse_input('ExtraTreeRegressor', 'clf_small', None) ... ok
sklearn.tree.tests.test_tree.test_sparse_input('ExtraTreeRegressor', 'toy', None) ... ok
sklearn.tree.tests.test_tree.test_sparse_input('ExtraTreeRegressor', 'digits', 3) ... ok
sklearn.tree.tests.test_tree.test_sparse_input('ExtraTreeRegressor', 'multilabel', None) ... ok
sklearn.tree.tests.test_tree.test_sparse_input('ExtraTreeRegressor', 'sparse-pos', None) ... ok
sklearn.tree.tests.test_tree.test_sparse_input('ExtraTreeRegressor', 'sparse-neg', None) ... ok
sklearn.tree.tests.test_tree.test_sparse_input('ExtraTreeRegressor', 'sparse-mix', None) ... ok
sklearn.tree.tests.test_tree.test_sparse_input('ExtraTreeRegressor', 'zeros', None) ... ok
sklearn.tree.tests.test_tree.test_sparse_input('DecisionTreeRegressor', 'boston', 2) ... ok
sklearn.tree.tests.test_tree.test_sparse_input('DecisionTreeRegressor', 'reg_small', 2) ... ok
sklearn.tree.tests.test_tree.test_sparse_input('ExtraTreeRegressor', 'boston', 2) ... ok
sklearn.tree.tests.test_tree.test_sparse_input('ExtraTreeRegressor', 'reg_small', 2) ... ok
sklearn.tree.tests.test_tree.test_sparse_parameters('DecisionTreeClassifier', 'sparse-pos') ... ok
sklearn.tree.tests.test_tree.test_sparse_parameters('DecisionTreeClassifier', 'sparse-neg') ... ok
sklearn.tree.tests.test_tree.test_sparse_parameters('DecisionTreeClassifier', 'sparse-mix') ... ok
sklearn.tree.tests.test_tree.test_sparse_parameters('DecisionTreeClassifier', 'zeros') ... ok
sklearn.tree.tests.test_tree.test_sparse_parameters('DecisionTreeRegressor', 'sparse-pos') ... ok
sklearn.tree.tests.test_tree.test_sparse_parameters('DecisionTreeRegressor', 'sparse-neg') ... ok
sklearn.tree.tests.test_tree.test_sparse_parameters('DecisionTreeRegressor', 'sparse-mix') ... ok
sklearn.tree.tests.test_tree.test_sparse_parameters('DecisionTreeRegressor', 'zeros') ... ok
sklearn.tree.tests.test_tree.test_sparse_parameters('ExtraTreeClassifier', 'sparse-pos') ... ok
sklearn.tree.tests.test_tree.test_sparse_parameters('ExtraTreeClassifier', 'sparse-neg') ... ok
sklearn.tree.tests.test_tree.test_sparse_parameters('ExtraTreeClassifier', 'sparse-mix') ... ok
sklearn.tree.tests.test_tree.test_sparse_parameters('ExtraTreeClassifier', 'zeros') ... ok
sklearn.tree.tests.test_tree.test_sparse_parameters('ExtraTreeRegressor', 'sparse-pos') ... ok
sklearn.tree.tests.test_tree.test_sparse_parameters('ExtraTreeRegressor', 'sparse-neg') ... ok
sklearn.tree.tests.test_tree.test_sparse_parameters('ExtraTreeRegressor', 'sparse-mix') ... ok
sklearn.tree.tests.test_tree.test_sparse_parameters('ExtraTreeRegressor', 'zeros') ... ok
sklearn.tree.tests.test_tree.test_sparse_criterion('DecisionTreeClassifier', 'sparse-pos') ... ok
sklearn.tree.tests.test_tree.test_sparse_criterion('DecisionTreeClassifier', 'sparse-neg') ... ok
sklearn.tree.tests.test_tree.test_sparse_criterion('DecisionTreeClassifier', 'sparse-mix') ... ok
sklearn.tree.tests.test_tree.test_sparse_criterion('DecisionTreeClassifier', 'zeros') ... ok
sklearn.tree.tests.test_tree.test_sparse_criterion('DecisionTreeRegressor', 'sparse-pos') ... ok
sklearn.tree.tests.test_tree.test_sparse_criterion('DecisionTreeRegressor', 'sparse-neg') ... ok
sklearn.tree.tests.test_tree.test_sparse_criterion('DecisionTreeRegressor', 'sparse-mix') ... ok
sklearn.tree.tests.test_tree.test_sparse_criterion('DecisionTreeRegressor', 'zeros') ... ok
sklearn.tree.tests.test_tree.test_sparse_criterion('ExtraTreeClassifier', 'sparse-pos') ... ok
sklearn.tree.tests.test_tree.test_sparse_criterion('ExtraTreeClassifier', 'sparse-neg') ... ok
sklearn.tree.tests.test_tree.test_sparse_criterion('ExtraTreeClassifier', 'sparse-mix') ... ok
sklearn.tree.tests.test_tree.test_sparse_criterion('ExtraTreeClassifier', 'zeros') ... ok
sklearn.tree.tests.test_tree.test_sparse_criterion('ExtraTreeRegressor', 'sparse-pos') ... ok
sklearn.tree.tests.test_tree.test_sparse_criterion('ExtraTreeRegressor', 'sparse-neg') ... ok
sklearn.tree.tests.test_tree.test_sparse_criterion('ExtraTreeRegressor', 'sparse-mix') ... ok
sklearn.tree.tests.test_tree.test_sparse_criterion('ExtraTreeRegressor', 'zeros') ... ok
sklearn.tree.tests.test_tree.test_explicit_sparse_zeros('DecisionTreeClassifier',) ... ok
sklearn.tree.tests.test_tree.test_explicit_sparse_zeros('DecisionTreeRegressor',) ... ok
sklearn.tree.tests.test_tree.test_explicit_sparse_zeros('ExtraTreeClassifier',) ... ok
sklearn.tree.tests.test_tree.test_explicit_sparse_zeros('ExtraTreeRegressor',) ... ok
sklearn.tree.tests.test_tree.test_min_weight_leaf_split_level('DecisionTreeClassifier',) ... ok
sklearn.tree.tests.test_tree.test_min_weight_leaf_split_level('Presort-DecisionTreeClassifier',) ... ok
sklearn.tree.tests.test_tree.test_min_weight_leaf_split_level('ExtraTreeClassifier',) ... ok
sklearn.tree.tests.test_tree.test_min_weight_leaf_split_level('DecisionTreeRegressor',) ... ok
sklearn.tree.tests.test_tree.test_min_weight_leaf_split_level('Presort-DecisionTreeRegressor',) ... ok
sklearn.tree.tests.test_tree.test_min_weight_leaf_split_level('ExtraTreeRegressor',) ... ok
sklearn.tree.tests.test_tree.test_public_apply('DecisionTreeClassifier',) ... ok
sklearn.tree.tests.test_tree.test_public_apply('Presort-DecisionTreeClassifier',) ... ok
sklearn.tree.tests.test_tree.test_public_apply('ExtraTreeClassifier',) ... ok
sklearn.tree.tests.test_tree.test_public_apply('DecisionTreeRegressor',) ... ok
sklearn.tree.tests.test_tree.test_public_apply('Presort-DecisionTreeRegressor',) ... ok
sklearn.tree.tests.test_tree.test_public_apply('ExtraTreeRegressor',) ... ok
sklearn.tree.tests.test_tree.test_public_apply('DecisionTreeClassifier',) ... ok
sklearn.tree.tests.test_tree.test_public_apply('DecisionTreeRegressor',) ... ok
sklearn.tree.tests.test_tree.test_public_apply('ExtraTreeClassifier',) ... ok
sklearn.tree.tests.test_tree.test_public_apply('ExtraTreeRegressor',) ... ok
sklearn.tree.tests.test_tree.test_presort_sparse(DecisionTreeClassifier(class_weight=None, criterion='gini', max_depth=None, ... ok
sklearn.tree.tests.test_tree.test_presort_sparse(DecisionTreeClassifier(class_weight=None, criterion='gini', max_depth=None, ... ok
sklearn.tree.tests.test_tree.test_presort_sparse(DecisionTreeClassifier(class_weight=None, criterion='gini', max_depth=None, ... ok
sklearn.tree.tests.test_tree.test_presort_sparse(DecisionTreeRegressor(criterion='mse', max_depth=None, max_features=None, ... ok
sklearn.tree.tests.test_tree.test_presort_sparse(DecisionTreeRegressor(criterion='mse', max_depth=None, max_features=None, ... ok
sklearn.tree.tests.test_tree.test_presort_sparse(DecisionTreeRegressor(criterion='mse', max_depth=None, max_features=None, ... ok
sklearn.tree.tests.test_tree.test_decision_path_hardcoded ... ok
sklearn.tree.tests.test_tree.test_decision_path('DecisionTreeClassifier',) ... ok
sklearn.tree.tests.test_tree.test_decision_path('Presort-DecisionTreeClassifier',) ... ok
sklearn.tree.tests.test_tree.test_decision_path('ExtraTreeClassifier',) ... ok
sklearn.tree.tests.test_tree.test_decision_path('DecisionTreeRegressor',) ... ok
sklearn.tree.tests.test_tree.test_decision_path('Presort-DecisionTreeRegressor',) ... ok
sklearn.tree.tests.test_tree.test_decision_path('ExtraTreeRegressor',) ... ok
sklearn.tree.tests.test_tree.test_no_sparse_y_support('DecisionTreeClassifier',) ... ok
sklearn.tree.tests.test_tree.test_no_sparse_y_support('Presort-DecisionTreeClassifier',) ... ok
sklearn.tree.tests.test_tree.test_no_sparse_y_support('ExtraTreeClassifier',) ... ok
sklearn.tree.tests.test_tree.test_no_sparse_y_support('DecisionTreeRegressor',) ... ok
sklearn.tree.tests.test_tree.test_no_sparse_y_support('Presort-DecisionTreeRegressor',) ... ok
sklearn.tree.tests.test_tree.test_no_sparse_y_support('ExtraTreeRegressor',) ... ok
sklearn.tree.tests.test_tree.test_mae ... ok
sklearn.tree.tests.test_tree.test_criterion_copy ... ok
sklearn.utils.tests.test_bench.test_total_seconds ... ok
sklearn.utils.tests.test_class_weight.test_compute_class_weight ... ok
sklearn.utils.tests.test_class_weight.test_compute_class_weight_not_present ... ok
sklearn.utils.tests.test_class_weight.test_compute_class_weight_dict ... ok
sklearn.utils.tests.test_class_weight.test_compute_class_weight_invariance ... ok
sklearn.utils.tests.test_class_weight.test_compute_class_weight_balanced_negative ... ok
sklearn.utils.tests.test_class_weight.test_compute_class_weight_balanced_unordered ... ok
sklearn.utils.tests.test_class_weight.test_compute_sample_weight ... ok
sklearn.utils.tests.test_class_weight.test_compute_sample_weight_with_subsample ... ok
sklearn.utils.tests.test_class_weight.test_compute_sample_weight_errors ... ok
sklearn.utils.tests.test_deprecation.test_deprecated ... ok
sklearn.utils.tests.test_deprecation.test_is_deprecated ... ok
sklearn.utils.tests.test_deprecation.test_pickle ... ok
sklearn.utils.tests.test_deprecation.test_deprecationdict ... ok
sklearn.utils.tests.test_estimator_checks.test_check_estimator ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/estimator_checks.py:269: SkipTestWarning: pandas is not installed: not testing for input of type pandas.Series to class weight.
warnings.warn(message, SkipTestWarning)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/estimator_checks.py:269: SkipTestWarning: pandas is not installed: not testing for input of type pandas.Series to class weight.
warnings.warn(message, SkipTestWarning)
ok
sklearn.utils.tests.test_estimator_checks.test_check_estimator_clones ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/estimator_checks.py:269: SkipTestWarning: pandas is not installed: not testing for input of type pandas.Series to class weight.
warnings.warn(message, SkipTestWarning)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/estimator_checks.py:269: SkipTestWarning: pandas is not installed: not testing for input of type pandas.Series to class weight.
warnings.warn(message, SkipTestWarning)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/estimator_checks.py:269: SkipTestWarning: pandas is not installed: not testing for input of type pandas.Series to class weight.
warnings.warn(message, SkipTestWarning)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/estimator_checks.py:269: SkipTestWarning: pandas is not installed: not testing for input of type pandas.Series to class weight.
warnings.warn(message, SkipTestWarning)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/estimator_checks.py:269: SkipTestWarning: pandas is not installed: not testing for input of type pandas.Series to class weight.
warnings.warn(message, SkipTestWarning)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/stochastic_gradient.py:128: FutureWarning: max_iter and tol parameters have been added in <class 'sklearn.linear_model.stochastic_gradient.SGDClassifier'> in 0.19. If both are left unset, they default to max_iter=5 and tol=None. If tol is not None, max_iter defaults to max_iter=1000. From 0.21, default max_iter will be 1000, and default tol will be 1e-3.
"and default tol will be 1e-3." % type(self), FutureWarning)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/estimator_checks.py:269: SkipTestWarning: pandas is not installed: not testing for input of type pandas.Series to class weight.
warnings.warn(message, SkipTestWarning)
ok
sklearn.utils.tests.test_estimator_checks.test_check_estimators_unfitted ... ok
sklearn.utils.tests.test_estimator_checks.test_check_no_fit_attributes_set_in_init ... ok
sklearn.utils.tests.test_extmath.test_density ... ok
sklearn.utils.tests.test_extmath.test_uniform_weights ... ok
sklearn.utils.tests.test_extmath.test_random_weights ... ok
sklearn.utils.tests.test_extmath.test_randomized_svd_low_rank_all_dtypes(<class 'numpy.int32'>,) ... ok
sklearn.utils.tests.test_extmath.test_randomized_svd_low_rank_all_dtypes(<class 'numpy.int64'>,) ... ok
sklearn.utils.tests.test_extmath.test_randomized_svd_low_rank_all_dtypes(<class 'numpy.float32'>,) ... ok
sklearn.utils.tests.test_extmath.test_randomized_svd_low_rank_all_dtypes(<class 'numpy.float64'>,) ... ok
sklearn.utils.tests.test_extmath.test_row_norms ... ok
sklearn.utils.tests.test_extmath.test_randomized_svd_low_rank_with_noise ... ok
sklearn.utils.tests.test_extmath.test_randomized_svd_infinite_rank ... ok
sklearn.utils.tests.test_extmath.test_logsumexp ... ok
sklearn.utils.tests.test_extmath.test_norm_squared_norm ... ok
sklearn.utils.tests.test_extmath.test_randomized_svd_transpose_consistency ... ok
sklearn.utils.tests.test_extmath.test_randomized_svd_power_iteration_normalizer ... ok
sklearn.utils.tests.test_extmath.test_svd_flip ... ok
sklearn.utils.tests.test_extmath.test_randomized_svd_sign_flip ... ok
sklearn.utils.tests.test_extmath.test_randomized_svd_sign_flip_with_transpose ... ok
sklearn.utils.tests.test_extmath.test_cartesian ... ok
sklearn.utils.tests.test_extmath.test_logistic_sigmoid ... ok
sklearn.utils.tests.test_extmath.test_incremental_variance_update_formulas ... ok
sklearn.utils.tests.test_extmath.test_incremental_variance_ddof ... ok
sklearn.utils.tests.test_extmath.test_vector_sign_flip ... ok
sklearn.utils.tests.test_extmath.test_softmax ... ok
sklearn.utils.tests.test_extmath.test_stable_cumsum ... ok
sklearn.utils.tests.test_extmath.test_incremental_variance_numerical_stability ... SKIP: Test skipped on 32bit platforms.
sklearn.utils.tests.test_fast_dict.test_int_float_dict ... ok
sklearn.utils.tests.test_fast_dict.test_int_float_dict_argmin ... ok
sklearn.utils.tests.test_fixes.test_divide ... ok
sklearn.utils.tests.test_fixes.test_masked_array_obj_dtype_pickleable ... ok
sklearn.utils.tests.test_graph.test_graph_laplacian ... ok
sklearn.utils.tests.test_linear_assignment.test_hungarian ... ok
sklearn.utils.tests.test_metaestimators.test_delegated_docstring ... ok
sklearn.utils.tests.test_metaestimators.test_if_delegate_has_method ... ok
sklearn.utils.tests.test_multiclass.test_unique_labels ... ok
sklearn.utils.tests.test_multiclass.test_unique_labels_non_specific ... ok
sklearn.utils.tests.test_multiclass.test_unique_labels_mixed_types ... ok
sklearn.utils.tests.test_multiclass.test_is_multilabel ... ok
sklearn.utils.tests.test_multiclass.test_check_classification_targets ... ok
sklearn.utils.tests.test_multiclass.test_type_of_target ... SKIP: Pandas not found
sklearn.utils.tests.test_multiclass.test_class_distribution ... ok
sklearn.utils.tests.test_multiclass.test_safe_split_with_precomputed_kernel ... ok
sklearn.utils.tests.test_murmurhash.test_mmhash3_int ... ok
sklearn.utils.tests.test_murmurhash.test_mmhash3_int_array ... ok
sklearn.utils.tests.test_murmurhash.test_mmhash3_bytes ... ok
sklearn.utils.tests.test_murmurhash.test_mmhash3_unicode ... ok
sklearn.utils.tests.test_murmurhash.test_no_collision_on_byte_range ... ok
sklearn.utils.tests.test_murmurhash.test_uniform_distribution ... ok
sklearn.utils.tests.test_optimize.test_newton_cg ... ok
sklearn.utils.tests.test_random.test_invalid_sample_without_replacement_algorithm ... ok
sklearn.utils.tests.test_random.test_sample_without_replacement_algorithms ... ok
sklearn.utils.tests.test_random.test_random_choice_csc ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/random.py:191: RuntimeWarning: invalid value encountered in true_divide
np.sum(class_probability_nz))
ok
sklearn.utils.tests.test_random.test_random_choice_csc_errors ... ok
sklearn.utils.tests.test_seq_dataset.test_seq_dataset ... ok
sklearn.utils.tests.test_seq_dataset.test_seq_dataset_shuffle ... ok
sklearn.utils.tests.test_shortest_path.test_floyd_warshall ... ok
sklearn.utils.tests.test_shortest_path.test_dijkstra ... ok
sklearn.utils.tests.test_shortest_path.test_shortest_path ... ok
sklearn.utils.tests.test_shortest_path.test_dijkstra_bug_fix ... ok
sklearn.utils.tests.test_sparsefuncs.test_mean_variance_axis0 ... ok
sklearn.utils.tests.test_sparsefuncs.test_mean_variance_axis1 ... ok
sklearn.utils.tests.test_sparsefuncs.test_incr_mean_variance_axis ... ok
sklearn.utils.tests.test_sparsefuncs.test_mean_variance_illegal_axis ... ok
sklearn.utils.tests.test_sparsefuncs.test_densify_rows ... ok
sklearn.utils.tests.test_sparsefuncs.test_inplace_column_scale ... ok
sklearn.utils.tests.test_sparsefuncs.test_inplace_row_scale ... ok
sklearn.utils.tests.test_sparsefuncs.test_inplace_swap_row ... ok
sklearn.utils.tests.test_sparsefuncs.test_inplace_swap_column ... ok
sklearn.utils.tests.test_sparsefuncs.test_min_max_axis0 ... ok
sklearn.utils.tests.test_sparsefuncs.test_min_max_axis1 ... ok
sklearn.utils.tests.test_sparsefuncs.test_min_max_axis_errors ... ok
sklearn.utils.tests.test_sparsefuncs.test_count_nonzero ... ok
sklearn.utils.tests.test_sparsefuncs.test_csc_row_median ... ok
sklearn.utils.tests.test_sparsefuncs.test_inplace_normalize ... ok
sklearn.utils.tests.test_stats.test_cases ... ok
test_warn (sklearn.utils.tests.test_testing.TestWarns) ... ok
test_warn_wrong_warning (sklearn.utils.tests.test_testing.TestWarns) ... ok
sklearn.utils.tests.test_testing.test_assert_less ... ok
sklearn.utils.tests.test_testing.test_assert_greater ... ok
sklearn.utils.tests.test_testing.test_assert_less_equal ... ok
sklearn.utils.tests.test_testing.test_assert_greater_equal ... ok
sklearn.utils.tests.test_testing.test_set_random_state ... ok
sklearn.utils.tests.test_testing.test_assert_allclose_dense_sparse ... ok
sklearn.utils.tests.test_testing.test_assert_raise_message ... ok
sklearn.utils.tests.test_testing.test_ignore_warning ... ok
sklearn.utils.tests.test_testing.test_check_docstring_parameters ... SKIP: numpydoc is required to test the docstrings
sklearn.utils.tests.test_utils.test_make_rng ... ok
sklearn.utils.tests.test_utils.test_deprecated ... ok
sklearn.utils.tests.test_utils.test_resample ... ok
sklearn.utils.tests.test_utils.test_safe_mask ... ok
sklearn.utils.tests.test_utils.test_column_or_1d ... ok
sklearn.utils.tests.test_utils.test_safe_indexing ... ok
sklearn.utils.tests.test_utils.test_safe_indexing_pandas ... SKIP: Pandas not found
sklearn.utils.tests.test_utils.test_safe_indexing_mock_pandas ... ok
sklearn.utils.tests.test_utils.test_shuffle_on_ndim_equals_three ... ok
sklearn.utils.tests.test_utils.test_shuffle_dont_convert_to_array ... ok
sklearn.utils.tests.test_utils.test_gen_even_slices ... ok
sklearn.utils.tests.test_utils.test_arpack_eigsh_initialization ... ok
sklearn.utils.tests.test_utils.test_pinvh_nonpositive ... ok
sklearn.utils.tests.test_utils.test_pinvh_simple_complex ... ok
sklearn.utils.tests.test_utils.test_pinvh_simple_real ... ok
sklearn.utils.tests.test_validation.test_as_float_array ... ok
sklearn.utils.tests.test_validation.test_np_matrix ... ok
sklearn.utils.tests.test_validation.test_memmap ... ok
sklearn.utils.tests.test_validation.test_ordering ... ok
sklearn.utils.tests.test_validation.test_check_array_pandas_dtype_object_conversion ... ok
sklearn.utils.tests.test_validation.test_check_array_on_mock_dataframe ... ok
sklearn.utils.tests.test_validation.test_check_array_dtype_stability ... ok
sklearn.utils.tests.test_validation.test_check_array_dtype_warning ... ok
sklearn.utils.tests.test_validation.test_check_array ... ok
sklearn.utils.tests.test_validation.test_check_array_accept_sparse_type_exception ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/validation.py:393: DeprecationWarning: Passing 'None' to parameter 'accept_sparse' in methods check_array and check_X_y is deprecated in version 0.19 and will be removed in 0.21. Use 'accept_sparse=False' instead.
" instead.", DeprecationWarning)
ok
sklearn.utils.tests.test_validation.test_check_array_accept_sparse_no_exception ... ok
sklearn.utils.tests.test_validation.test_check_array_min_samples_and_features_messages ... ok
sklearn.utils.tests.test_validation.test_has_fit_parameter ... ok
sklearn.utils.tests.test_validation.test_check_symmetric ... ok
sklearn.utils.tests.test_validation.test_check_is_fitted ... ok
sklearn.utils.tests.test_validation.test_check_consistent_length ... ok
sklearn.utils.tests.test_validation.test_check_dataframe_fit_attribute ... SKIP: Pandas not found
sklearn.utils.tests.test_validation.test_suppress_validation ... ok
sklearn.utils.tests.test_validation.test_check_memory ... ok
sklearn.tests.test_base.test_clone ... ok
sklearn.tests.test_base.test_clone_2 ... ok
sklearn.tests.test_base.test_clone_buggy ... ok
sklearn.tests.test_base.test_clone_empty_array ... ok
sklearn.tests.test_base.test_clone_nan ... ok
sklearn.tests.test_base.test_clone_copy_init_params ... ok
sklearn.tests.test_base.test_clone_sparse_matrices ... ok
sklearn.tests.test_base.test_repr ... ok
sklearn.tests.test_base.test_str ... ok
sklearn.tests.test_base.test_get_params ... ok
sklearn.tests.test_base.test_get_params_deprecated ... ok
sklearn.tests.test_base.test_is_classifier ... ok
sklearn.tests.test_base.test_set_params ... ok
sklearn.tests.test_base.test_set_params_passes_all_parameters ... ok
sklearn.tests.test_base.test_score_sample_weight ... ok
sklearn.tests.test_base.test_pickling_works_when_getstate_is_overwritten_in_the_child_class ... ok
sklearn.tests.test_base.test_clone_pandas_dataframe ... ok
sklearn.tests.test_base.test_pickle_version_warning_is_not_raised_with_matching_version ... ok
sklearn.tests.test_base.test_pickle_version_warning_is_issued_upon_different_version ... ok
sklearn.tests.test_base.test_pickle_version_warning_is_issued_when_no_version_info_in_pickle ... ok
sklearn.tests.test_base.test_pickle_version_no_warning_is_issued_with_non_sklearn_estimator ... ok
sklearn.tests.test_base.test_pickling_when_getstate_is_overwritten_by_mixin ... ok
sklearn.tests.test_base.test_pickling_when_getstate_is_overwritten_by_mixin_outside_of_sklearn ... ok
sklearn.tests.test_calibration.test_sample_weight ... ok
Test calibration for multiclass ... ok
Test calibration for prefitted classifiers ... ok
Test calibration values with Platt sigmoid model ... ok
Check calibration_curve function ... ok
Test that calibration can accept nan ... ok
sklearn.tests.test_calibration.test_calibration_prob_sum ... ok
Test calibration objects with isotonic and sigmoid ... ok
sklearn.tests.test_calibration.test_calibration_less_classes ... ok
sklearn.tests.test_check_build.test_raise_build_error ... ok
sklearn.tests.test_common.test_all_estimator_no_base_class ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(ARDRegression) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(AdaBoostClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(AdaBoostRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(AdditiveChi2Sampler) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(AffinityPropagation) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(AgglomerativeClustering) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(BaggingClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(BaggingRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(BayesianGaussianMixture) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(BayesianRidge) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(BernoulliNB) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(BernoulliRBM) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(Binarizer) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(Birch) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(CCA) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(CalibratedClassifierCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(ClassifierChain) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(DBSCAN) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(DPGMM) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(DecisionTreeClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(DecisionTreeRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(DictionaryLearning) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(ElasticNet) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(ElasticNetCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(EmpiricalCovariance) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(ExtraTreeClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(ExtraTreeRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(ExtraTreesClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(ExtraTreesRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(FactorAnalysis) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(FastICA) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(FeatureAgglomeration) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(FunctionTransformer) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(GMM) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(GaussianMixture) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(GaussianNB) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(GaussianProcess) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(GaussianProcessClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(GaussianProcessRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(GaussianRandomProjection) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(GenericUnivariateSelect) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(GradientBoostingClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(GradientBoostingRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(GraphLasso) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(GraphLassoCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(HuberRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(Imputer) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(IncrementalPCA) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(IsolationForest) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(Isomap) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(KMeans) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(KNeighborsClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(KNeighborsRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(KernelCenterer) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(KernelDensity) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(KernelPCA) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(KernelRidge) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(LSHForest) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(LabelPropagation) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(LabelSpreading) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(Lars) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(LarsCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(Lasso) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(LassoCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(LassoLars) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(LassoLarsCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(LassoLarsIC) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(LatentDirichletAllocation) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(LedoitWolf) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(LinearDiscriminantAnalysis) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(LinearRegression) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(LinearSVC) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(LinearSVR) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(LocalOutlierFactor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(LocallyLinearEmbedding) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(LogisticRegression) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(LogisticRegressionCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(MDS) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(MLPClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(MLPRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(MaxAbsScaler) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(MeanShift) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(MinCovDet) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(MinMaxScaler) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(MiniBatchDictionaryLearning) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(MiniBatchKMeans) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(MiniBatchSparsePCA) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(MultiOutputClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(MultiOutputRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(MultiTaskElasticNet) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(MultiTaskElasticNetCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(MultiTaskLasso) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(MultiTaskLassoCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(MultinomialNB) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(NMF) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(NearestCentroid) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(NearestNeighbors) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(Normalizer) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(NuSVC) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(NuSVR) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(Nystroem) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(OAS) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(OneClassSVM) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(OneVsOneClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(OneVsRestClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(OrthogonalMatchingPursuit) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(OrthogonalMatchingPursuitCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(OutputCodeClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(PCA) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(PLSCanonical) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(PLSRegression) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(PLSSVD) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(PassiveAggressiveClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(PassiveAggressiveRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(Perceptron) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(QuadraticDiscriminantAnalysis) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(QuantileTransformer) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(RANSACRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(RBFSampler) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(RFE) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(RFECV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(RadiusNeighborsClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(RadiusNeighborsRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(RandomForestClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(RandomForestRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(RandomizedLasso) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(RandomizedLogisticRegression) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(RandomizedPCA) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(Ridge) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(RidgeCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(RidgeClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(RidgeClassifierCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(RobustScaler) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(SGDClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(SGDRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(SVC) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(SVR) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(SelectFdr) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(SelectFpr) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(SelectFwe) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(SelectKBest) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(SelectPercentile) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(ShrunkCovariance) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(SkewedChi2Sampler) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(SparsePCA) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(SparseRandomProjection) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(SpectralBiclustering) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(SpectralClustering) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(SpectralCoclustering) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(SpectralEmbedding) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(StandardScaler) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(TSNE) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(TheilSenRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(VBGMM) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(VarianceThreshold) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(_BaseRidgeCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(_BinaryGaussianProcessClassifierLaplace) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(_ConstantPredictor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(_DPGMMBase) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(_GMMBase) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_all_estimators:check_parameters_default_constructible(_RidgeGCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_no_fit_attributes_set_in_init(ARDRegression) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_dtypes(ARDRegression) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit_score_takes_y(ARDRegression) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dtype_object(ARDRegression) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_pandas_series(ARDRegression) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_list(ARDRegression) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_fit_returns_self(ARDRegression) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_empty_data_messages(ARDRegression) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_pipeline_consistency(ARDRegression) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_nan_inf(ARDRegression) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_overwrite_params(ARDRegression) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimator_sparse_data(ARDRegression) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_pickle(ARDRegression) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressors_train(ARDRegression) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressor_data_not_an_array(ARDRegression) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_partial_fit_n_features(ARDRegression) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressors_no_decision_function(ARDRegression) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_supervised_y_2d(ARDRegression) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_supervised_y_no_nan(ARDRegression) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressors_int(ARDRegression) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_unfitted(ARDRegression) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_non_transformer_estimators_n_iter(ARDRegression) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_predict1d(ARDRegression) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1sample(ARDRegression) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1feature(ARDRegression) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1feature(ARDRegression) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1sample(ARDRegression) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_get_params_invariance(ARDRegression) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dict_unchanged(ARDRegression) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dont_overwrite_parameters(ARDRegression) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_no_fit_attributes_set_in_init(AdaBoostClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_dtypes(AdaBoostClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit_score_takes_y(AdaBoostClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dtype_object(AdaBoostClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_pandas_series(AdaBoostClassifier) ... SKIP: pandas is not installed: not testing for input of type pandas.Series to class weight.
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_list(AdaBoostClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_fit_returns_self(AdaBoostClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_empty_data_messages(AdaBoostClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_pipeline_consistency(AdaBoostClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_nan_inf(AdaBoostClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_overwrite_params(AdaBoostClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimator_sparse_data(AdaBoostClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_pickle(AdaBoostClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_classifier_data_not_an_array(AdaBoostClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_classifiers_one_label(AdaBoostClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_classifiers_classes(AdaBoostClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_partial_fit_n_features(AdaBoostClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_classifiers_train(AdaBoostClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_classifiers_regression_target(AdaBoostClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_supervised_y_2d(AdaBoostClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_unfitted(AdaBoostClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_non_transformer_estimators_n_iter(AdaBoostClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_decision_proba_consistency(AdaBoostClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_predict1d(AdaBoostClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1sample(AdaBoostClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1feature(AdaBoostClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1feature(AdaBoostClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1sample(AdaBoostClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_get_params_invariance(AdaBoostClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dict_unchanged(AdaBoostClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dont_overwrite_parameters(AdaBoostClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_no_fit_attributes_set_in_init(AdaBoostRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_dtypes(AdaBoostRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit_score_takes_y(AdaBoostRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dtype_object(AdaBoostRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_pandas_series(AdaBoostRegressor) ... SKIP: pandas is not installed: not testing for input of type pandas.Series to class weight.
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_list(AdaBoostRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_fit_returns_self(AdaBoostRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_empty_data_messages(AdaBoostRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_pipeline_consistency(AdaBoostRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_nan_inf(AdaBoostRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_overwrite_params(AdaBoostRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimator_sparse_data(AdaBoostRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_pickle(AdaBoostRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressors_train(AdaBoostRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressor_data_not_an_array(AdaBoostRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_partial_fit_n_features(AdaBoostRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressors_no_decision_function(AdaBoostRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_supervised_y_2d(AdaBoostRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_supervised_y_no_nan(AdaBoostRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressors_int(AdaBoostRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_unfitted(AdaBoostRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_non_transformer_estimators_n_iter(AdaBoostRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_predict1d(AdaBoostRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1sample(AdaBoostRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1feature(AdaBoostRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1feature(AdaBoostRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1sample(AdaBoostRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_get_params_invariance(AdaBoostRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dict_unchanged(AdaBoostRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dont_overwrite_parameters(AdaBoostRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_no_fit_attributes_set_in_init(AdditiveChi2Sampler) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_dtypes(AdditiveChi2Sampler) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit_score_takes_y(AdditiveChi2Sampler) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dtype_object(AdditiveChi2Sampler) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_pandas_series(AdditiveChi2Sampler) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_list(AdditiveChi2Sampler) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_fit_returns_self(AdditiveChi2Sampler) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_empty_data_messages(AdditiveChi2Sampler) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_pipeline_consistency(AdditiveChi2Sampler) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_nan_inf(AdditiveChi2Sampler) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_overwrite_params(AdditiveChi2Sampler) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimator_sparse_data(AdditiveChi2Sampler) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_pickle(AdditiveChi2Sampler) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformer_n_iter(AdditiveChi2Sampler) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_predict1d(AdditiveChi2Sampler) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1sample(AdditiveChi2Sampler) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1feature(AdditiveChi2Sampler) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1feature(AdditiveChi2Sampler) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1sample(AdditiveChi2Sampler) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_get_params_invariance(AdditiveChi2Sampler) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dict_unchanged(AdditiveChi2Sampler) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dont_overwrite_parameters(AdditiveChi2Sampler) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_no_fit_attributes_set_in_init(AffinityPropagation) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_dtypes(AffinityPropagation) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit_score_takes_y(AffinityPropagation) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dtype_object(AffinityPropagation) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_pandas_series(AffinityPropagation) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_list(AffinityPropagation) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_fit_returns_self(AffinityPropagation) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_empty_data_messages(AffinityPropagation) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_pipeline_consistency(AffinityPropagation) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_nan_inf(AffinityPropagation) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_overwrite_params(AffinityPropagation) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimator_sparse_data(AffinityPropagation) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_pickle(AffinityPropagation) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_clusterer_compute_labels_predict(AffinityPropagation) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_clustering(AffinityPropagation) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_partial_fit_n_features(AffinityPropagation) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_non_transformer_estimators_n_iter(AffinityPropagation) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_predict1d(AffinityPropagation) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1sample(AffinityPropagation) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1feature(AffinityPropagation) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1feature(AffinityPropagation) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1sample(AffinityPropagation) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_get_params_invariance(AffinityPropagation) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dict_unchanged(AffinityPropagation) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dont_overwrite_parameters(AffinityPropagation) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_no_fit_attributes_set_in_init(AgglomerativeClustering) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_dtypes(AgglomerativeClustering) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit_score_takes_y(AgglomerativeClustering) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dtype_object(AgglomerativeClustering) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_pandas_series(AgglomerativeClustering) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_list(AgglomerativeClustering) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_fit_returns_self(AgglomerativeClustering) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_empty_data_messages(AgglomerativeClustering) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_pipeline_consistency(AgglomerativeClustering) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_nan_inf(AgglomerativeClustering) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_overwrite_params(AgglomerativeClustering) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimator_sparse_data(AgglomerativeClustering) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_pickle(AgglomerativeClustering) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_clusterer_compute_labels_predict(AgglomerativeClustering) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_clustering(AgglomerativeClustering) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_partial_fit_n_features(AgglomerativeClustering) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_non_transformer_estimators_n_iter(AgglomerativeClustering) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_predict1d(AgglomerativeClustering) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1sample(AgglomerativeClustering) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1feature(AgglomerativeClustering) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1feature(AgglomerativeClustering) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1sample(AgglomerativeClustering) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_get_params_invariance(AgglomerativeClustering) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dict_unchanged(AgglomerativeClustering) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dont_overwrite_parameters(AgglomerativeClustering) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_no_fit_attributes_set_in_init(BaggingClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_dtypes(BaggingClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit_score_takes_y(BaggingClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dtype_object(BaggingClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_pandas_series(BaggingClassifier) ... SKIP: pandas is not installed: not testing for input of type pandas.Series to class weight.
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_list(BaggingClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_fit_returns_self(BaggingClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_empty_data_messages(BaggingClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_pipeline_consistency(BaggingClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_nan_inf(BaggingClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_overwrite_params(BaggingClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimator_sparse_data(BaggingClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_pickle(BaggingClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_classifier_data_not_an_array(BaggingClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_classifiers_one_label(BaggingClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_classifiers_classes(BaggingClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_partial_fit_n_features(BaggingClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_classifiers_train(BaggingClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_classifiers_regression_target(BaggingClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_supervised_y_2d(BaggingClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_unfitted(BaggingClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_non_transformer_estimators_n_iter(BaggingClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_decision_proba_consistency(BaggingClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_predict1d(BaggingClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1sample(BaggingClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1feature(BaggingClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1feature(BaggingClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1sample(BaggingClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_get_params_invariance(BaggingClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dict_unchanged(BaggingClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dont_overwrite_parameters(BaggingClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_no_fit_attributes_set_in_init(BaggingRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_dtypes(BaggingRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit_score_takes_y(BaggingRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dtype_object(BaggingRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_pandas_series(BaggingRegressor) ... SKIP: pandas is not installed: not testing for input of type pandas.Series to class weight.
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_list(BaggingRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_fit_returns_self(BaggingRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_empty_data_messages(BaggingRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_pipeline_consistency(BaggingRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_nan_inf(BaggingRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_overwrite_params(BaggingRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimator_sparse_data(BaggingRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_pickle(BaggingRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressors_train(BaggingRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressor_data_not_an_array(BaggingRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_partial_fit_n_features(BaggingRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressors_no_decision_function(BaggingRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_supervised_y_2d(BaggingRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_supervised_y_no_nan(BaggingRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressors_int(BaggingRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_unfitted(BaggingRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_non_transformer_estimators_n_iter(BaggingRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_predict1d(BaggingRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1sample(BaggingRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1feature(BaggingRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1feature(BaggingRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1sample(BaggingRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_get_params_invariance(BaggingRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dict_unchanged(BaggingRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dont_overwrite_parameters(BaggingRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_no_fit_attributes_set_in_init(BayesianGaussianMixture) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_dtypes(BayesianGaussianMixture) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit_score_takes_y(BayesianGaussianMixture) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dtype_object(BayesianGaussianMixture) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_pandas_series(BayesianGaussianMixture) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_list(BayesianGaussianMixture) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_fit_returns_self(BayesianGaussianMixture) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_empty_data_messages(BayesianGaussianMixture) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_pipeline_consistency(BayesianGaussianMixture) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_nan_inf(BayesianGaussianMixture) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_overwrite_params(BayesianGaussianMixture) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimator_sparse_data(BayesianGaussianMixture) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_pickle(BayesianGaussianMixture) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_predict1d(BayesianGaussianMixture) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1sample(BayesianGaussianMixture) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1feature(BayesianGaussianMixture) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1feature(BayesianGaussianMixture) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1sample(BayesianGaussianMixture) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_get_params_invariance(BayesianGaussianMixture) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dict_unchanged(BayesianGaussianMixture) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dont_overwrite_parameters(BayesianGaussianMixture) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_no_fit_attributes_set_in_init(BayesianRidge) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_dtypes(BayesianRidge) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit_score_takes_y(BayesianRidge) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dtype_object(BayesianRidge) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_pandas_series(BayesianRidge) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_list(BayesianRidge) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_fit_returns_self(BayesianRidge) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_empty_data_messages(BayesianRidge) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_pipeline_consistency(BayesianRidge) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_nan_inf(BayesianRidge) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_overwrite_params(BayesianRidge) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimator_sparse_data(BayesianRidge) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_pickle(BayesianRidge) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressors_train(BayesianRidge) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressor_data_not_an_array(BayesianRidge) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_partial_fit_n_features(BayesianRidge) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressors_no_decision_function(BayesianRidge) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_supervised_y_2d(BayesianRidge) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_supervised_y_no_nan(BayesianRidge) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressors_int(BayesianRidge) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_unfitted(BayesianRidge) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_non_transformer_estimators_n_iter(BayesianRidge) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_predict1d(BayesianRidge) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1sample(BayesianRidge) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1feature(BayesianRidge) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1feature(BayesianRidge) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1sample(BayesianRidge) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_get_params_invariance(BayesianRidge) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dict_unchanged(BayesianRidge) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dont_overwrite_parameters(BayesianRidge) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_no_fit_attributes_set_in_init(BernoulliNB) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_dtypes(BernoulliNB) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit_score_takes_y(BernoulliNB) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dtype_object(BernoulliNB) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_pandas_series(BernoulliNB) ... SKIP: pandas is not installed: not testing for input of type pandas.Series to class weight.
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_list(BernoulliNB) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_fit_returns_self(BernoulliNB) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_empty_data_messages(BernoulliNB) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_pipeline_consistency(BernoulliNB) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_nan_inf(BernoulliNB) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_overwrite_params(BernoulliNB) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimator_sparse_data(BernoulliNB) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_pickle(BernoulliNB) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_classifier_data_not_an_array(BernoulliNB) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_classifiers_one_label(BernoulliNB) ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/naive_bayes.py:461: RuntimeWarning: divide by zero encountered in log
self.class_log_prior_ = (np.log(self.class_count_) -
ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_classifiers_classes(BernoulliNB) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_partial_fit_n_features(BernoulliNB) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_classifiers_train(BernoulliNB) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_classifiers_regression_target(BernoulliNB) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_supervised_y_2d(BernoulliNB) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_unfitted(BernoulliNB) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_non_transformer_estimators_n_iter(BernoulliNB) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_decision_proba_consistency(BernoulliNB) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_predict1d(BernoulliNB) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1sample(BernoulliNB) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1feature(BernoulliNB) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1feature(BernoulliNB) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1sample(BernoulliNB) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_get_params_invariance(BernoulliNB) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dict_unchanged(BernoulliNB) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dont_overwrite_parameters(BernoulliNB) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_no_fit_attributes_set_in_init(BernoulliRBM) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_dtypes(BernoulliRBM) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit_score_takes_y(BernoulliRBM) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dtype_object(BernoulliRBM) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_pandas_series(BernoulliRBM) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_list(BernoulliRBM) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_fit_returns_self(BernoulliRBM) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_empty_data_messages(BernoulliRBM) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_pipeline_consistency(BernoulliRBM) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_nan_inf(BernoulliRBM) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_overwrite_params(BernoulliRBM) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimator_sparse_data(BernoulliRBM) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_pickle(BernoulliRBM) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformer_data_not_an_array(BernoulliRBM) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformer_general(BernoulliRBM) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformers_unfitted(BernoulliRBM) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformer_n_iter(BernoulliRBM) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_predict1d(BernoulliRBM) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1sample(BernoulliRBM) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1feature(BernoulliRBM) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1feature(BernoulliRBM) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1sample(BernoulliRBM) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_get_params_invariance(BernoulliRBM) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dict_unchanged(BernoulliRBM) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dont_overwrite_parameters(BernoulliRBM) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_no_fit_attributes_set_in_init(Binarizer) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_dtypes(Binarizer) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit_score_takes_y(Binarizer) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dtype_object(Binarizer) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_pandas_series(Binarizer) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_list(Binarizer) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_fit_returns_self(Binarizer) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_empty_data_messages(Binarizer) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_pipeline_consistency(Binarizer) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_nan_inf(Binarizer) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_overwrite_params(Binarizer) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimator_sparse_data(Binarizer) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_pickle(Binarizer) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformer_n_iter(Binarizer) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_predict1d(Binarizer) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1sample(Binarizer) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1feature(Binarizer) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1feature(Binarizer) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1sample(Binarizer) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_get_params_invariance(Binarizer) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dict_unchanged(Binarizer) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dont_overwrite_parameters(Binarizer) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_no_fit_attributes_set_in_init(Birch) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_dtypes(Birch) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit_score_takes_y(Birch) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dtype_object(Birch) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_pandas_series(Birch) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_list(Birch) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_fit_returns_self(Birch) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_empty_data_messages(Birch) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_pipeline_consistency(Birch) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_nan_inf(Birch) ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/birch.py:629: UserWarning: Number of subclusters found (1) by Birch is less than (3). Decrease the threshold.
% (len(centroids), self.n_clusters))
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/birch.py:629: UserWarning: Number of subclusters found (1) by Birch is less than (3). Decrease the threshold.
% (len(centroids), self.n_clusters))
ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_overwrite_params(Birch) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimator_sparse_data(Birch) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_pickle(Birch) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformer_data_not_an_array(Birch) ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/birch.py:629: UserWarning: Number of subclusters found (2) by Birch is less than (3). Decrease the threshold.
% (len(centroids), self.n_clusters))
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/birch.py:629: UserWarning: Number of subclusters found (2) by Birch is less than (3). Decrease the threshold.
% (len(centroids), self.n_clusters))
ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformer_general(Birch) ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/birch.py:629: UserWarning: Number of subclusters found (2) by Birch is less than (3). Decrease the threshold.
% (len(centroids), self.n_clusters))
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/birch.py:629: UserWarning: Number of subclusters found (2) by Birch is less than (3). Decrease the threshold.
% (len(centroids), self.n_clusters))
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/birch.py:629: UserWarning: Number of subclusters found (2) by Birch is less than (3). Decrease the threshold.
% (len(centroids), self.n_clusters))
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/birch.py:629: UserWarning: Number of subclusters found (2) by Birch is less than (3). Decrease the threshold.
% (len(centroids), self.n_clusters))
ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformers_unfitted(Birch) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformer_n_iter(Birch) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_clusterer_compute_labels_predict(Birch) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_clustering(Birch) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_partial_fit_n_features(Birch) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_non_transformer_estimators_n_iter(Birch) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_predict1d(Birch) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1sample(Birch) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1feature(Birch) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1feature(Birch) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1sample(Birch) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_get_params_invariance(Birch) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dict_unchanged(Birch) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dont_overwrite_parameters(Birch) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_no_fit_attributes_set_in_init(CCA) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_dtypes(CCA) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit_score_takes_y(CCA) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dtype_object(CCA) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_pandas_series(CCA) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_list(CCA) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_fit_returns_self(CCA) ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cross_decomposition/pls_.py:287: UserWarning: Y residual constant at iteration 1
warnings.warn('Y residual constant at iteration %s' % k)
ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_empty_data_messages(CCA) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_nan_inf(CCA) ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cross_decomposition/pls_.py:287: UserWarning: Y residual constant at iteration 1
warnings.warn('Y residual constant at iteration %s' % k)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cross_decomposition/pls_.py:287: UserWarning: Y residual constant at iteration 1
warnings.warn('Y residual constant at iteration %s' % k)
ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_overwrite_params(CCA) ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cross_decomposition/pls_.py:287: UserWarning: Y residual constant at iteration 1
warnings.warn('Y residual constant at iteration %s' % k)
ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimator_sparse_data(CCA) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_pickle(CCA) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressors_train(CCA) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressor_data_not_an_array(CCA) ... SKIP
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_partial_fit_n_features(CCA) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressors_no_decision_function(CCA) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_supervised_y_2d(CCA) ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cross_decomposition/pls_.py:287: UserWarning: Y residual constant at iteration 1
warnings.warn('Y residual constant at iteration %s' % k)
ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_supervised_y_no_nan(CCA) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_unfitted(CCA) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_non_transformer_estimators_n_iter(CCA) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformer_general(CCA) ... SKIP: CCA is non deterministic on 32bit Python
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformers_unfitted(CCA) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformer_n_iter(CCA) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_predict1d(CCA) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1sample(CCA) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1feature(CCA) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1feature(CCA) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1sample(CCA) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_get_params_invariance(CCA) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dict_unchanged(CCA) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dont_overwrite_parameters(CCA) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_no_fit_attributes_set_in_init(CalibratedClassifierCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_dtypes(CalibratedClassifierCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit_score_takes_y(CalibratedClassifierCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dtype_object(CalibratedClassifierCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_pandas_series(CalibratedClassifierCV) ... SKIP: pandas is not installed: not testing for input of type pandas.Series to class weight.
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_list(CalibratedClassifierCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_fit_returns_self(CalibratedClassifierCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_empty_data_messages(CalibratedClassifierCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_pipeline_consistency(CalibratedClassifierCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_nan_inf(CalibratedClassifierCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_overwrite_params(CalibratedClassifierCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimator_sparse_data(CalibratedClassifierCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_pickle(CalibratedClassifierCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_classifier_data_not_an_array(CalibratedClassifierCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_classifiers_one_label(CalibratedClassifierCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_classifiers_classes(CalibratedClassifierCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_partial_fit_n_features(CalibratedClassifierCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_classifiers_train(CalibratedClassifierCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_classifiers_regression_target(CalibratedClassifierCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_supervised_y_2d(CalibratedClassifierCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_unfitted(CalibratedClassifierCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_non_transformer_estimators_n_iter(CalibratedClassifierCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_decision_proba_consistency(CalibratedClassifierCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_predict1d(CalibratedClassifierCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1sample(CalibratedClassifierCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1feature(CalibratedClassifierCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1feature(CalibratedClassifierCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1sample(CalibratedClassifierCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_get_params_invariance(CalibratedClassifierCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dict_unchanged(CalibratedClassifierCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dont_overwrite_parameters(CalibratedClassifierCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_no_fit_attributes_set_in_init(DBSCAN) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_dtypes(DBSCAN) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit_score_takes_y(DBSCAN) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dtype_object(DBSCAN) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_pandas_series(DBSCAN) ... SKIP: pandas is not installed: not testing for input of type pandas.Series to class weight.
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_list(DBSCAN) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_fit_returns_self(DBSCAN) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_empty_data_messages(DBSCAN) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_pipeline_consistency(DBSCAN) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_nan_inf(DBSCAN) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_overwrite_params(DBSCAN) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimator_sparse_data(DBSCAN) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_pickle(DBSCAN) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_clusterer_compute_labels_predict(DBSCAN) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_clustering(DBSCAN) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_partial_fit_n_features(DBSCAN) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_non_transformer_estimators_n_iter(DBSCAN) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_predict1d(DBSCAN) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1sample(DBSCAN) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1feature(DBSCAN) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1feature(DBSCAN) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1sample(DBSCAN) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_get_params_invariance(DBSCAN) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dict_unchanged(DBSCAN) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dont_overwrite_parameters(DBSCAN) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/deprecation.py:58: DeprecationWarning: Class DPGMM is deprecated; The `DPGMM` class is not working correctly and it's better to use `sklearn.mixture.BayesianGaussianMixture` class with parameter `weight_concentration_prior_type='dirichlet_process'` instead. DPGMM is deprecated in 0.18 and will be removed in 0.20.
warnings.warn(msg, category=DeprecationWarning)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_no_fit_attributes_set_in_init(DPGMM) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_dtypes(DPGMM) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit_score_takes_y(DPGMM) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dtype_object(DPGMM) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_pandas_series(DPGMM) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_list(DPGMM) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_fit_returns_self(DPGMM) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_empty_data_messages(DPGMM) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_pipeline_consistency(DPGMM) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_nan_inf(DPGMM) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_overwrite_params(DPGMM) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimator_sparse_data(DPGMM) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_pickle(DPGMM) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_predict1d(DPGMM) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1sample(DPGMM) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1feature(DPGMM) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1feature(DPGMM) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1sample(DPGMM) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_get_params_invariance(DPGMM) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dict_unchanged(DPGMM) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dont_overwrite_parameters(DPGMM) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_no_fit_attributes_set_in_init(DecisionTreeClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_dtypes(DecisionTreeClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit_score_takes_y(DecisionTreeClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dtype_object(DecisionTreeClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_pandas_series(DecisionTreeClassifier) ... SKIP: pandas is not installed: not testing for input of type pandas.Series to class weight.
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_list(DecisionTreeClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_fit_returns_self(DecisionTreeClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_empty_data_messages(DecisionTreeClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_pipeline_consistency(DecisionTreeClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_nan_inf(DecisionTreeClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_overwrite_params(DecisionTreeClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimator_sparse_data(DecisionTreeClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_pickle(DecisionTreeClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_classifier_data_not_an_array(DecisionTreeClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_classifiers_one_label(DecisionTreeClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_classifiers_classes(DecisionTreeClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_partial_fit_n_features(DecisionTreeClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_classifiers_train(DecisionTreeClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_classifiers_regression_target(DecisionTreeClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_unfitted(DecisionTreeClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_class_weight_classifiers(DecisionTreeClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_non_transformer_estimators_n_iter(DecisionTreeClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_decision_proba_consistency(DecisionTreeClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_predict1d(DecisionTreeClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1sample(DecisionTreeClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1feature(DecisionTreeClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1feature(DecisionTreeClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1sample(DecisionTreeClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_get_params_invariance(DecisionTreeClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dict_unchanged(DecisionTreeClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dont_overwrite_parameters(DecisionTreeClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_no_fit_attributes_set_in_init(DecisionTreeRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_dtypes(DecisionTreeRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit_score_takes_y(DecisionTreeRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dtype_object(DecisionTreeRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_pandas_series(DecisionTreeRegressor) ... SKIP: pandas is not installed: not testing for input of type pandas.Series to class weight.
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_list(DecisionTreeRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_fit_returns_self(DecisionTreeRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_empty_data_messages(DecisionTreeRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_pipeline_consistency(DecisionTreeRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_nan_inf(DecisionTreeRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_overwrite_params(DecisionTreeRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimator_sparse_data(DecisionTreeRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_pickle(DecisionTreeRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressors_train(DecisionTreeRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressor_data_not_an_array(DecisionTreeRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_partial_fit_n_features(DecisionTreeRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressors_no_decision_function(DecisionTreeRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_supervised_y_2d(DecisionTreeRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_supervised_y_no_nan(DecisionTreeRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressors_int(DecisionTreeRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_unfitted(DecisionTreeRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_non_transformer_estimators_n_iter(DecisionTreeRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_predict1d(DecisionTreeRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1sample(DecisionTreeRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1feature(DecisionTreeRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1feature(DecisionTreeRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1sample(DecisionTreeRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_get_params_invariance(DecisionTreeRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dict_unchanged(DecisionTreeRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dont_overwrite_parameters(DecisionTreeRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_no_fit_attributes_set_in_init(DictionaryLearning) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_dtypes(DictionaryLearning) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit_score_takes_y(DictionaryLearning) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dtype_object(DictionaryLearning) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_pandas_series(DictionaryLearning) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_list(DictionaryLearning) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_fit_returns_self(DictionaryLearning) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_empty_data_messages(DictionaryLearning) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_pipeline_consistency(DictionaryLearning) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_nan_inf(DictionaryLearning) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_overwrite_params(DictionaryLearning) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimator_sparse_data(DictionaryLearning) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_pickle(DictionaryLearning) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformer_data_not_an_array(DictionaryLearning) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformer_general(DictionaryLearning) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformers_unfitted(DictionaryLearning) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformer_n_iter(DictionaryLearning) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_predict1d(DictionaryLearning) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1sample(DictionaryLearning) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1feature(DictionaryLearning) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1feature(DictionaryLearning) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1sample(DictionaryLearning) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_get_params_invariance(DictionaryLearning) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dict_unchanged(DictionaryLearning) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dont_overwrite_parameters(DictionaryLearning) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_no_fit_attributes_set_in_init(ElasticNet) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_dtypes(ElasticNet) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit_score_takes_y(ElasticNet) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dtype_object(ElasticNet) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_pandas_series(ElasticNet) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_list(ElasticNet) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_fit_returns_self(ElasticNet) ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/coordinate_descent.py:491: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
ConvergenceWarning)
ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_empty_data_messages(ElasticNet) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_pipeline_consistency(ElasticNet) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_nan_inf(ElasticNet) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_overwrite_params(ElasticNet) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimator_sparse_data(ElasticNet) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_pickle(ElasticNet) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressors_train(ElasticNet) ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/coordinate_descent.py:491: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
ConvergenceWarning)
ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressor_data_not_an_array(ElasticNet) ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/coordinate_descent.py:491: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
ConvergenceWarning)
ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_partial_fit_n_features(ElasticNet) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressors_no_decision_function(ElasticNet) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_supervised_y_2d(ElasticNet) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_supervised_y_no_nan(ElasticNet) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressors_int(ElasticNet) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_unfitted(ElasticNet) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_non_transformer_estimators_n_iter(ElasticNet) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_predict1d(ElasticNet) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1sample(ElasticNet) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1feature(ElasticNet) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1feature(ElasticNet) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1sample(ElasticNet) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_get_params_invariance(ElasticNet) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dict_unchanged(ElasticNet) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dont_overwrite_parameters(ElasticNet) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_no_fit_attributes_set_in_init(ElasticNetCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_dtypes(ElasticNetCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit_score_takes_y(ElasticNetCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dtype_object(ElasticNetCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_pandas_series(ElasticNetCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_list(ElasticNetCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_fit_returns_self(ElasticNetCV) ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/coordinate_descent.py:491: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
ConvergenceWarning)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/coordinate_descent.py:491: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
ConvergenceWarning)
ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_empty_data_messages(ElasticNetCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_pipeline_consistency(ElasticNetCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_nan_inf(ElasticNetCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_overwrite_params(ElasticNetCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimator_sparse_data(ElasticNetCV) ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/coordinate_descent.py:491: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
ConvergenceWarning)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/coordinate_descent.py:491: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
ConvergenceWarning)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/coordinate_descent.py:491: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
ConvergenceWarning)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/coordinate_descent.py:491: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
ConvergenceWarning)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/coordinate_descent.py:491: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
ConvergenceWarning)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/coordinate_descent.py:491: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
ConvergenceWarning)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/coordinate_descent.py:491: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
ConvergenceWarning)
ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_pickle(ElasticNetCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressors_train(ElasticNetCV) ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/coordinate_descent.py:491: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
ConvergenceWarning)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/coordinate_descent.py:491: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
ConvergenceWarning)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/coordinate_descent.py:491: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
ConvergenceWarning)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/coordinate_descent.py:491: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
ConvergenceWarning)
ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressor_data_not_an_array(ElasticNetCV) ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/coordinate_descent.py:491: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
ConvergenceWarning)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/coordinate_descent.py:491: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
ConvergenceWarning)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/coordinate_descent.py:491: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
ConvergenceWarning)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/coordinate_descent.py:491: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
ConvergenceWarning)
ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_partial_fit_n_features(ElasticNetCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressors_no_decision_function(ElasticNetCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_supervised_y_2d(ElasticNetCV) ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/coordinate_descent.py:491: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
ConvergenceWarning)
ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_supervised_y_no_nan(ElasticNetCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressors_int(ElasticNetCV) ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/coordinate_descent.py:491: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
ConvergenceWarning)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/coordinate_descent.py:491: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
ConvergenceWarning)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/coordinate_descent.py:491: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
ConvergenceWarning)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/coordinate_descent.py:491: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
ConvergenceWarning)
ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_unfitted(ElasticNetCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_non_transformer_estimators_n_iter(ElasticNetCV) ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/coordinate_descent.py:491: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
ConvergenceWarning)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/coordinate_descent.py:491: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
ConvergenceWarning)
ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_predict1d(ElasticNetCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1sample(ElasticNetCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1feature(ElasticNetCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1feature(ElasticNetCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1sample(ElasticNetCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_get_params_invariance(ElasticNetCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dict_unchanged(ElasticNetCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dont_overwrite_parameters(ElasticNetCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_no_fit_attributes_set_in_init(EmpiricalCovariance) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_dtypes(EmpiricalCovariance) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit_score_takes_y(EmpiricalCovariance) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dtype_object(EmpiricalCovariance) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_pandas_series(EmpiricalCovariance) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_list(EmpiricalCovariance) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_fit_returns_self(EmpiricalCovariance) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_empty_data_messages(EmpiricalCovariance) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_pipeline_consistency(EmpiricalCovariance) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_nan_inf(EmpiricalCovariance) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_overwrite_params(EmpiricalCovariance) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimator_sparse_data(EmpiricalCovariance) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_pickle(EmpiricalCovariance) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_predict1d(EmpiricalCovariance) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1sample(EmpiricalCovariance) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1feature(EmpiricalCovariance) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1feature(EmpiricalCovariance) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1sample(EmpiricalCovariance) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_get_params_invariance(EmpiricalCovariance) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dict_unchanged(EmpiricalCovariance) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dont_overwrite_parameters(EmpiricalCovariance) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_no_fit_attributes_set_in_init(ExtraTreeClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_dtypes(ExtraTreeClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit_score_takes_y(ExtraTreeClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dtype_object(ExtraTreeClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_pandas_series(ExtraTreeClassifier) ... SKIP: pandas is not installed: not testing for input of type pandas.Series to class weight.
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_list(ExtraTreeClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_fit_returns_self(ExtraTreeClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_empty_data_messages(ExtraTreeClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_pipeline_consistency(ExtraTreeClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_nan_inf(ExtraTreeClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_overwrite_params(ExtraTreeClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimator_sparse_data(ExtraTreeClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_pickle(ExtraTreeClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_classifier_data_not_an_array(ExtraTreeClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_classifiers_one_label(ExtraTreeClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_classifiers_classes(ExtraTreeClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_partial_fit_n_features(ExtraTreeClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_classifiers_train(ExtraTreeClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_classifiers_regression_target(ExtraTreeClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_unfitted(ExtraTreeClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_class_weight_classifiers(ExtraTreeClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_non_transformer_estimators_n_iter(ExtraTreeClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_decision_proba_consistency(ExtraTreeClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_predict1d(ExtraTreeClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1sample(ExtraTreeClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1feature(ExtraTreeClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1feature(ExtraTreeClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1sample(ExtraTreeClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_get_params_invariance(ExtraTreeClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dict_unchanged(ExtraTreeClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dont_overwrite_parameters(ExtraTreeClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_no_fit_attributes_set_in_init(ExtraTreeRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_dtypes(ExtraTreeRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit_score_takes_y(ExtraTreeRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dtype_object(ExtraTreeRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_pandas_series(ExtraTreeRegressor) ... SKIP: pandas is not installed: not testing for input of type pandas.Series to class weight.
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_list(ExtraTreeRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_fit_returns_self(ExtraTreeRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_empty_data_messages(ExtraTreeRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_pipeline_consistency(ExtraTreeRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_nan_inf(ExtraTreeRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_overwrite_params(ExtraTreeRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimator_sparse_data(ExtraTreeRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_pickle(ExtraTreeRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressors_train(ExtraTreeRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressor_data_not_an_array(ExtraTreeRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_partial_fit_n_features(ExtraTreeRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressors_no_decision_function(ExtraTreeRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_supervised_y_2d(ExtraTreeRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_supervised_y_no_nan(ExtraTreeRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressors_int(ExtraTreeRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_unfitted(ExtraTreeRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_non_transformer_estimators_n_iter(ExtraTreeRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_predict1d(ExtraTreeRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1sample(ExtraTreeRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1feature(ExtraTreeRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1feature(ExtraTreeRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1sample(ExtraTreeRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_get_params_invariance(ExtraTreeRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dict_unchanged(ExtraTreeRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dont_overwrite_parameters(ExtraTreeRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_no_fit_attributes_set_in_init(ExtraTreesClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_dtypes(ExtraTreesClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit_score_takes_y(ExtraTreesClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dtype_object(ExtraTreesClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_pandas_series(ExtraTreesClassifier) ... SKIP: pandas is not installed: not testing for input of type pandas.Series to class weight.
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_list(ExtraTreesClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_fit_returns_self(ExtraTreesClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_empty_data_messages(ExtraTreesClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_pipeline_consistency(ExtraTreesClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_nan_inf(ExtraTreesClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_overwrite_params(ExtraTreesClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimator_sparse_data(ExtraTreesClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_pickle(ExtraTreesClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_classifier_data_not_an_array(ExtraTreesClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_classifiers_one_label(ExtraTreesClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_classifiers_classes(ExtraTreesClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_partial_fit_n_features(ExtraTreesClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_classifiers_train(ExtraTreesClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_classifiers_regression_target(ExtraTreesClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_supervised_y_2d(ExtraTreesClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_unfitted(ExtraTreesClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_class_weight_classifiers(ExtraTreesClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_non_transformer_estimators_n_iter(ExtraTreesClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_decision_proba_consistency(ExtraTreesClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_predict1d(ExtraTreesClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1sample(ExtraTreesClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1feature(ExtraTreesClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1feature(ExtraTreesClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1sample(ExtraTreesClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_get_params_invariance(ExtraTreesClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dict_unchanged(ExtraTreesClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dont_overwrite_parameters(ExtraTreesClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_no_fit_attributes_set_in_init(ExtraTreesRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_dtypes(ExtraTreesRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit_score_takes_y(ExtraTreesRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dtype_object(ExtraTreesRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_pandas_series(ExtraTreesRegressor) ... SKIP: pandas is not installed: not testing for input of type pandas.Series to class weight.
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_list(ExtraTreesRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_fit_returns_self(ExtraTreesRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_empty_data_messages(ExtraTreesRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_pipeline_consistency(ExtraTreesRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_nan_inf(ExtraTreesRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_overwrite_params(ExtraTreesRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimator_sparse_data(ExtraTreesRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_pickle(ExtraTreesRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressors_train(ExtraTreesRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressor_data_not_an_array(ExtraTreesRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_partial_fit_n_features(ExtraTreesRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressors_no_decision_function(ExtraTreesRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_supervised_y_2d(ExtraTreesRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_supervised_y_no_nan(ExtraTreesRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressors_int(ExtraTreesRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_unfitted(ExtraTreesRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_non_transformer_estimators_n_iter(ExtraTreesRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_predict1d(ExtraTreesRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1sample(ExtraTreesRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1feature(ExtraTreesRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1feature(ExtraTreesRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1sample(ExtraTreesRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_get_params_invariance(ExtraTreesRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dict_unchanged(ExtraTreesRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dont_overwrite_parameters(ExtraTreesRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_no_fit_attributes_set_in_init(FactorAnalysis) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_dtypes(FactorAnalysis) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit_score_takes_y(FactorAnalysis) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dtype_object(FactorAnalysis) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_pandas_series(FactorAnalysis) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_list(FactorAnalysis) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_fit_returns_self(FactorAnalysis) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_empty_data_messages(FactorAnalysis) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_pipeline_consistency(FactorAnalysis) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_nan_inf(FactorAnalysis) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_overwrite_params(FactorAnalysis) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimator_sparse_data(FactorAnalysis) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_pickle(FactorAnalysis) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformer_data_not_an_array(FactorAnalysis) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformer_general(FactorAnalysis) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformers_unfitted(FactorAnalysis) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformer_n_iter(FactorAnalysis) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_predict1d(FactorAnalysis) ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/decomposition/factor_analysis.py:228: ConvergenceWarning: FactorAnalysis did not converge. You might want to increase the number of iterations.
ConvergenceWarning)
ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1sample(FactorAnalysis) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1feature(FactorAnalysis) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1feature(FactorAnalysis) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1sample(FactorAnalysis) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_get_params_invariance(FactorAnalysis) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dict_unchanged(FactorAnalysis) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dont_overwrite_parameters(FactorAnalysis) ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/decomposition/factor_analysis.py:228: ConvergenceWarning: FactorAnalysis did not converge. You might want to increase the number of iterations.
ConvergenceWarning)
ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_no_fit_attributes_set_in_init(FastICA) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_dtypes(FastICA) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit_score_takes_y(FastICA) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dtype_object(FastICA) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_pandas_series(FastICA) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_list(FastICA) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_fit_returns_self(FastICA) ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/decomposition/fastica_.py:118: UserWarning: FastICA did not converge. Consider increasing tolerance or the maximum number of iterations.
warnings.warn('FastICA did not converge. Consider increasing '
ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_empty_data_messages(FastICA) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_pipeline_consistency(FastICA) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_nan_inf(FastICA) ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/decomposition/fastica_.py:118: UserWarning: FastICA did not converge. Consider increasing tolerance or the maximum number of iterations.
warnings.warn('FastICA did not converge. Consider increasing '
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/decomposition/fastica_.py:118: UserWarning: FastICA did not converge. Consider increasing tolerance or the maximum number of iterations.
warnings.warn('FastICA did not converge. Consider increasing '
ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_overwrite_params(FastICA) ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/decomposition/fastica_.py:118: UserWarning: FastICA did not converge. Consider increasing tolerance or the maximum number of iterations.
warnings.warn('FastICA did not converge. Consider increasing '
ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimator_sparse_data(FastICA) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_pickle(FastICA) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformer_data_not_an_array(FastICA) ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/decomposition/fastica_.py:118: UserWarning: FastICA did not converge. Consider increasing tolerance or the maximum number of iterations.
warnings.warn('FastICA did not converge. Consider increasing '
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/decomposition/fastica_.py:118: UserWarning: FastICA did not converge. Consider increasing tolerance or the maximum number of iterations.
warnings.warn('FastICA did not converge. Consider increasing '
ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformer_general(FastICA) ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/decomposition/fastica_.py:118: UserWarning: FastICA did not converge. Consider increasing tolerance or the maximum number of iterations.
warnings.warn('FastICA did not converge. Consider increasing '
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/decomposition/fastica_.py:118: UserWarning: FastICA did not converge. Consider increasing tolerance or the maximum number of iterations.
warnings.warn('FastICA did not converge. Consider increasing '
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/decomposition/fastica_.py:118: UserWarning: FastICA did not converge. Consider increasing tolerance or the maximum number of iterations.
warnings.warn('FastICA did not converge. Consider increasing '
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/decomposition/fastica_.py:118: UserWarning: FastICA did not converge. Consider increasing tolerance or the maximum number of iterations.
warnings.warn('FastICA did not converge. Consider increasing '
ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformers_unfitted(FastICA) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformer_n_iter(FastICA) ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/decomposition/fastica_.py:118: UserWarning: FastICA did not converge. Consider increasing tolerance or the maximum number of iterations.
warnings.warn('FastICA did not converge. Consider increasing '
ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_predict1d(FastICA) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1sample(FastICA) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1feature(FastICA) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1feature(FastICA) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1sample(FastICA) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_get_params_invariance(FastICA) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dict_unchanged(FastICA) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dont_overwrite_parameters(FastICA) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_no_fit_attributes_set_in_init(FeatureAgglomeration) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_dtypes(FeatureAgglomeration) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit_score_takes_y(FeatureAgglomeration) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dtype_object(FeatureAgglomeration) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_pandas_series(FeatureAgglomeration) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_list(FeatureAgglomeration) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_fit_returns_self(FeatureAgglomeration) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_empty_data_messages(FeatureAgglomeration) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_pipeline_consistency(FeatureAgglomeration) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_nan_inf(FeatureAgglomeration) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_overwrite_params(FeatureAgglomeration) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimator_sparse_data(FeatureAgglomeration) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_pickle(FeatureAgglomeration) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformer_data_not_an_array(FeatureAgglomeration) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformer_general(FeatureAgglomeration) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformers_unfitted(FeatureAgglomeration) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformer_n_iter(FeatureAgglomeration) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_clusterer_compute_labels_predict(FeatureAgglomeration) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_non_transformer_estimators_n_iter(FeatureAgglomeration) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_predict1d(FeatureAgglomeration) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1sample(FeatureAgglomeration) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1feature(FeatureAgglomeration) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1feature(FeatureAgglomeration) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1sample(FeatureAgglomeration) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_get_params_invariance(FeatureAgglomeration) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dict_unchanged(FeatureAgglomeration) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dont_overwrite_parameters(FeatureAgglomeration) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_no_fit_attributes_set_in_init(FunctionTransformer) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_dtypes(FunctionTransformer) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit_score_takes_y(FunctionTransformer) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dtype_object(FunctionTransformer) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_pandas_series(FunctionTransformer) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_list(FunctionTransformer) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_fit_returns_self(FunctionTransformer) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_empty_data_messages(FunctionTransformer) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_pipeline_consistency(FunctionTransformer) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_nan_inf(FunctionTransformer) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_overwrite_params(FunctionTransformer) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimator_sparse_data(FunctionTransformer) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_pickle(FunctionTransformer) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformer_data_not_an_array(FunctionTransformer) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformer_n_iter(FunctionTransformer) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_predict1d(FunctionTransformer) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1sample(FunctionTransformer) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1feature(FunctionTransformer) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1feature(FunctionTransformer) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1sample(FunctionTransformer) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_get_params_invariance(FunctionTransformer) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dict_unchanged(FunctionTransformer) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dont_overwrite_parameters(FunctionTransformer) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/deprecation.py:58: DeprecationWarning: Class GMM is deprecated; The class GMM is deprecated in 0.18 and will be removed in 0.20. Use class GaussianMixture instead.
warnings.warn(msg, category=DeprecationWarning)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_no_fit_attributes_set_in_init(GMM) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_dtypes(GMM) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit_score_takes_y(GMM) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dtype_object(GMM) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_pandas_series(GMM) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_list(GMM) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_fit_returns_self(GMM) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_empty_data_messages(GMM) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_pipeline_consistency(GMM) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_nan_inf(GMM) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_overwrite_params(GMM) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimator_sparse_data(GMM) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_pickle(GMM) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_predict1d(GMM) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1sample(GMM) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1feature(GMM) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1feature(GMM) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1sample(GMM) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_get_params_invariance(GMM) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dict_unchanged(GMM) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dont_overwrite_parameters(GMM) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_no_fit_attributes_set_in_init(GaussianMixture) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_dtypes(GaussianMixture) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit_score_takes_y(GaussianMixture) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dtype_object(GaussianMixture) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_pandas_series(GaussianMixture) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_list(GaussianMixture) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_fit_returns_self(GaussianMixture) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_empty_data_messages(GaussianMixture) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_pipeline_consistency(GaussianMixture) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_nan_inf(GaussianMixture) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_overwrite_params(GaussianMixture) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimator_sparse_data(GaussianMixture) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_pickle(GaussianMixture) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_predict1d(GaussianMixture) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1sample(GaussianMixture) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1feature(GaussianMixture) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1feature(GaussianMixture) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1sample(GaussianMixture) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_get_params_invariance(GaussianMixture) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dict_unchanged(GaussianMixture) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dont_overwrite_parameters(GaussianMixture) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_no_fit_attributes_set_in_init(GaussianNB) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_dtypes(GaussianNB) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit_score_takes_y(GaussianNB) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dtype_object(GaussianNB) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_pandas_series(GaussianNB) ... SKIP: pandas is not installed: not testing for input of type pandas.Series to class weight.
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_list(GaussianNB) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_fit_returns_self(GaussianNB) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_empty_data_messages(GaussianNB) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_pipeline_consistency(GaussianNB) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_nan_inf(GaussianNB) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_overwrite_params(GaussianNB) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimator_sparse_data(GaussianNB) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_pickle(GaussianNB) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_classifier_data_not_an_array(GaussianNB) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_classifiers_one_label(GaussianNB) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_classifiers_classes(GaussianNB) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_partial_fit_n_features(GaussianNB) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_classifiers_train(GaussianNB) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_classifiers_regression_target(GaussianNB) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_supervised_y_2d(GaussianNB) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_unfitted(GaussianNB) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_non_transformer_estimators_n_iter(GaussianNB) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_decision_proba_consistency(GaussianNB) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_predict1d(GaussianNB) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1sample(GaussianNB) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1feature(GaussianNB) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1feature(GaussianNB) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1sample(GaussianNB) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_get_params_invariance(GaussianNB) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dict_unchanged(GaussianNB) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dont_overwrite_parameters(GaussianNB) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/deprecation.py:58: DeprecationWarning: Class GaussianProcess is deprecated; GaussianProcess was deprecated in version 0.18 and will be removed in 0.20. Use the GaussianProcessRegressor instead.
warnings.warn(msg, category=DeprecationWarning)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_no_fit_attributes_set_in_init(GaussianProcess) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_dtypes(GaussianProcess) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit_score_takes_y(GaussianProcess) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dtype_object(GaussianProcess) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_pandas_series(GaussianProcess) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_list(GaussianProcess) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_fit_returns_self(GaussianProcess) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_empty_data_messages(GaussianProcess) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_pipeline_consistency(GaussianProcess) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_nan_inf(GaussianProcess) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimator_sparse_data(GaussianProcess) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_pickle(GaussianProcess) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressors_train(GaussianProcess) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressor_data_not_an_array(GaussianProcess) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_partial_fit_n_features(GaussianProcess) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressors_no_decision_function(GaussianProcess) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_supervised_y_2d(GaussianProcess) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_supervised_y_no_nan(GaussianProcess) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressors_int(GaussianProcess) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_unfitted(GaussianProcess) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_non_transformer_estimators_n_iter(GaussianProcess) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_predict1d(GaussianProcess) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1sample(GaussianProcess) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1feature(GaussianProcess) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1feature(GaussianProcess) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1sample(GaussianProcess) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_get_params_invariance(GaussianProcess) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dict_unchanged(GaussianProcess) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dont_overwrite_parameters(GaussianProcess) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_no_fit_attributes_set_in_init(GaussianProcessClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_dtypes(GaussianProcessClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit_score_takes_y(GaussianProcessClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dtype_object(GaussianProcessClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_pandas_series(GaussianProcessClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_list(GaussianProcessClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_fit_returns_self(GaussianProcessClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_empty_data_messages(GaussianProcessClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_pipeline_consistency(GaussianProcessClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_nan_inf(GaussianProcessClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_overwrite_params(GaussianProcessClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimator_sparse_data(GaussianProcessClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_pickle(GaussianProcessClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_classifier_data_not_an_array(GaussianProcessClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_classifiers_one_label(GaussianProcessClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_classifiers_classes(GaussianProcessClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_partial_fit_n_features(GaussianProcessClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_classifiers_train(GaussianProcessClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_classifiers_regression_target(GaussianProcessClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_supervised_y_2d(GaussianProcessClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_unfitted(GaussianProcessClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_non_transformer_estimators_n_iter(GaussianProcessClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_decision_proba_consistency(GaussianProcessClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_predict1d(GaussianProcessClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1sample(GaussianProcessClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1feature(GaussianProcessClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1feature(GaussianProcessClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1sample(GaussianProcessClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_get_params_invariance(GaussianProcessClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dict_unchanged(GaussianProcessClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dont_overwrite_parameters(GaussianProcessClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_no_fit_attributes_set_in_init(GaussianProcessRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_dtypes(GaussianProcessRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit_score_takes_y(GaussianProcessRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dtype_object(GaussianProcessRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_pandas_series(GaussianProcessRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_list(GaussianProcessRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_fit_returns_self(GaussianProcessRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_empty_data_messages(GaussianProcessRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_pipeline_consistency(GaussianProcessRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_nan_inf(GaussianProcessRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_overwrite_params(GaussianProcessRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimator_sparse_data(GaussianProcessRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_pickle(GaussianProcessRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressors_train(GaussianProcessRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressor_data_not_an_array(GaussianProcessRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_partial_fit_n_features(GaussianProcessRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressors_no_decision_function(GaussianProcessRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_supervised_y_2d(GaussianProcessRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_supervised_y_no_nan(GaussianProcessRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressors_int(GaussianProcessRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_non_transformer_estimators_n_iter(GaussianProcessRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_predict1d(GaussianProcessRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1sample(GaussianProcessRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1feature(GaussianProcessRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1feature(GaussianProcessRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1sample(GaussianProcessRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_get_params_invariance(GaussianProcessRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dict_unchanged(GaussianProcessRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dont_overwrite_parameters(GaussianProcessRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_no_fit_attributes_set_in_init(GaussianRandomProjection) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_dtypes(GaussianRandomProjection) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit_score_takes_y(GaussianRandomProjection) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dtype_object(GaussianRandomProjection) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_pandas_series(GaussianRandomProjection) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_list(GaussianRandomProjection) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_fit_returns_self(GaussianRandomProjection) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_empty_data_messages(GaussianRandomProjection) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_pipeline_consistency(GaussianRandomProjection) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_nan_inf(GaussianRandomProjection) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_overwrite_params(GaussianRandomProjection) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimator_sparse_data(GaussianRandomProjection) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_pickle(GaussianRandomProjection) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformer_data_not_an_array(GaussianRandomProjection) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformer_general(GaussianRandomProjection) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformers_unfitted(GaussianRandomProjection) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformer_n_iter(GaussianRandomProjection) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_predict1d(GaussianRandomProjection) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1sample(GaussianRandomProjection) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1feature(GaussianRandomProjection) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1feature(GaussianRandomProjection) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1sample(GaussianRandomProjection) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_get_params_invariance(GaussianRandomProjection) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dict_unchanged(GaussianRandomProjection) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dont_overwrite_parameters(GaussianRandomProjection) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_no_fit_attributes_set_in_init(GenericUnivariateSelect) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_dtypes(GenericUnivariateSelect) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit_score_takes_y(GenericUnivariateSelect) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dtype_object(GenericUnivariateSelect) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_pandas_series(GenericUnivariateSelect) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_list(GenericUnivariateSelect) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_fit_returns_self(GenericUnivariateSelect) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_empty_data_messages(GenericUnivariateSelect) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_pipeline_consistency(GenericUnivariateSelect) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_nan_inf(GenericUnivariateSelect) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_overwrite_params(GenericUnivariateSelect) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimator_sparse_data(GenericUnivariateSelect) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_pickle(GenericUnivariateSelect) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformer_data_not_an_array(GenericUnivariateSelect) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformer_general(GenericUnivariateSelect) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformers_unfitted(GenericUnivariateSelect) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformer_n_iter(GenericUnivariateSelect) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_predict1d(GenericUnivariateSelect) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1sample(GenericUnivariateSelect) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1feature(GenericUnivariateSelect) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1feature(GenericUnivariateSelect) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1sample(GenericUnivariateSelect) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_get_params_invariance(GenericUnivariateSelect) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dict_unchanged(GenericUnivariateSelect) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dont_overwrite_parameters(GenericUnivariateSelect) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_no_fit_attributes_set_in_init(GradientBoostingClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_dtypes(GradientBoostingClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit_score_takes_y(GradientBoostingClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dtype_object(GradientBoostingClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_pandas_series(GradientBoostingClassifier) ... SKIP: pandas is not installed: not testing for input of type pandas.Series to class weight.
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_list(GradientBoostingClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_fit_returns_self(GradientBoostingClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_empty_data_messages(GradientBoostingClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_pipeline_consistency(GradientBoostingClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_nan_inf(GradientBoostingClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_overwrite_params(GradientBoostingClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimator_sparse_data(GradientBoostingClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_pickle(GradientBoostingClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_classifier_data_not_an_array(GradientBoostingClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_classifiers_one_label(GradientBoostingClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_classifiers_classes(GradientBoostingClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_partial_fit_n_features(GradientBoostingClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_classifiers_train(GradientBoostingClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_classifiers_regression_target(GradientBoostingClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_supervised_y_2d(GradientBoostingClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_unfitted(GradientBoostingClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_non_transformer_estimators_n_iter(GradientBoostingClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_decision_proba_consistency(GradientBoostingClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_predict1d(GradientBoostingClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1sample(GradientBoostingClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1feature(GradientBoostingClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1feature(GradientBoostingClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1sample(GradientBoostingClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_get_params_invariance(GradientBoostingClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dict_unchanged(GradientBoostingClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dont_overwrite_parameters(GradientBoostingClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_no_fit_attributes_set_in_init(GradientBoostingRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_dtypes(GradientBoostingRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit_score_takes_y(GradientBoostingRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dtype_object(GradientBoostingRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_pandas_series(GradientBoostingRegressor) ... SKIP: pandas is not installed: not testing for input of type pandas.Series to class weight.
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_list(GradientBoostingRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_fit_returns_self(GradientBoostingRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_empty_data_messages(GradientBoostingRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_pipeline_consistency(GradientBoostingRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_nan_inf(GradientBoostingRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_overwrite_params(GradientBoostingRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimator_sparse_data(GradientBoostingRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_pickle(GradientBoostingRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressors_train(GradientBoostingRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressor_data_not_an_array(GradientBoostingRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_partial_fit_n_features(GradientBoostingRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressors_no_decision_function(GradientBoostingRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_supervised_y_2d(GradientBoostingRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_supervised_y_no_nan(GradientBoostingRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressors_int(GradientBoostingRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_unfitted(GradientBoostingRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_non_transformer_estimators_n_iter(GradientBoostingRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_predict1d(GradientBoostingRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1sample(GradientBoostingRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1feature(GradientBoostingRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1feature(GradientBoostingRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1sample(GradientBoostingRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_get_params_invariance(GradientBoostingRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dict_unchanged(GradientBoostingRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dont_overwrite_parameters(GradientBoostingRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_no_fit_attributes_set_in_init(GraphLasso) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_dtypes(GraphLasso) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit_score_takes_y(GraphLasso) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dtype_object(GraphLasso) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_pandas_series(GraphLasso) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_list(GraphLasso) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_fit_returns_self(GraphLasso) ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/covariance/graph_lasso_.py:252: ConvergenceWarning: graph_lasso: did not converge after 5 iteration: dual gap: 2.346e+00
ConvergenceWarning)
ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_empty_data_messages(GraphLasso) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_pipeline_consistency(GraphLasso) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_nan_inf(GraphLasso) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_overwrite_params(GraphLasso) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimator_sparse_data(GraphLasso) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_pickle(GraphLasso) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_predict1d(GraphLasso) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1sample(GraphLasso) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1feature(GraphLasso) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1feature(GraphLasso) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1sample(GraphLasso) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_get_params_invariance(GraphLasso) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dict_unchanged(GraphLasso) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dont_overwrite_parameters(GraphLasso) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_no_fit_attributes_set_in_init(GraphLassoCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_dtypes(GraphLassoCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit_score_takes_y(GraphLassoCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dtype_object(GraphLassoCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_pandas_series(GraphLassoCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_list(GraphLassoCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_fit_returns_self(GraphLassoCV) ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/covariance/graph_lasso_.py:252: ConvergenceWarning: graph_lasso: did not converge after 5 iteration: dual gap: -5.139e-04
ConvergenceWarning)
ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_empty_data_messages(GraphLassoCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_pipeline_consistency(GraphLassoCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_nan_inf(GraphLassoCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_overwrite_params(GraphLassoCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimator_sparse_data(GraphLassoCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_pickle(GraphLassoCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_predict1d(GraphLassoCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1sample(GraphLassoCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1feature(GraphLassoCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1feature(GraphLassoCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1sample(GraphLassoCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_get_params_invariance(GraphLassoCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dict_unchanged(GraphLassoCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dont_overwrite_parameters(GraphLassoCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_no_fit_attributes_set_in_init(HuberRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_dtypes(HuberRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit_score_takes_y(HuberRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dtype_object(HuberRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_pandas_series(HuberRegressor) ... SKIP: pandas is not installed: not testing for input of type pandas.Series to class weight.
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_list(HuberRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_fit_returns_self(HuberRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_empty_data_messages(HuberRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_pipeline_consistency(HuberRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_nan_inf(HuberRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_overwrite_params(HuberRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimator_sparse_data(HuberRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_pickle(HuberRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressors_train(HuberRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressor_data_not_an_array(HuberRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_partial_fit_n_features(HuberRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressors_no_decision_function(HuberRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_supervised_y_2d(HuberRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_supervised_y_no_nan(HuberRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressors_int(HuberRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_unfitted(HuberRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_non_transformer_estimators_n_iter(HuberRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_predict1d(HuberRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1sample(HuberRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1feature(HuberRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1feature(HuberRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1sample(HuberRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_get_params_invariance(HuberRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dict_unchanged(HuberRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dont_overwrite_parameters(HuberRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_no_fit_attributes_set_in_init(Imputer) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_dtypes(Imputer) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit_score_takes_y(Imputer) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dtype_object(Imputer) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_pandas_series(Imputer) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_list(Imputer) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_fit_returns_self(Imputer) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_empty_data_messages(Imputer) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_pipeline_consistency(Imputer) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_overwrite_params(Imputer) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimator_sparse_data(Imputer) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_pickle(Imputer) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformer_data_not_an_array(Imputer) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformer_general(Imputer) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformers_unfitted(Imputer) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformer_n_iter(Imputer) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_predict1d(Imputer) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1sample(Imputer) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1feature(Imputer) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1feature(Imputer) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1sample(Imputer) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_get_params_invariance(Imputer) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dict_unchanged(Imputer) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dont_overwrite_parameters(Imputer) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_no_fit_attributes_set_in_init(IncrementalPCA) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_dtypes(IncrementalPCA) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit_score_takes_y(IncrementalPCA) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dtype_object(IncrementalPCA) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_pandas_series(IncrementalPCA) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_list(IncrementalPCA) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_fit_returns_self(IncrementalPCA) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_empty_data_messages(IncrementalPCA) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_pipeline_consistency(IncrementalPCA) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_nan_inf(IncrementalPCA) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_overwrite_params(IncrementalPCA) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimator_sparse_data(IncrementalPCA) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_pickle(IncrementalPCA) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformer_data_not_an_array(IncrementalPCA) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformer_general(IncrementalPCA) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformers_unfitted(IncrementalPCA) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformer_n_iter(IncrementalPCA) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_predict1d(IncrementalPCA) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1sample(IncrementalPCA) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1feature(IncrementalPCA) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1feature(IncrementalPCA) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1sample(IncrementalPCA) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_get_params_invariance(IncrementalPCA) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dict_unchanged(IncrementalPCA) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dont_overwrite_parameters(IncrementalPCA) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_no_fit_attributes_set_in_init(IsolationForest) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_dtypes(IsolationForest) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit_score_takes_y(IsolationForest) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dtype_object(IsolationForest) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_pandas_series(IsolationForest) ... SKIP: pandas is not installed: not testing for input of type pandas.Series to class weight.
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_list(IsolationForest) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_fit_returns_self(IsolationForest) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_empty_data_messages(IsolationForest) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_pipeline_consistency(IsolationForest) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_nan_inf(IsolationForest) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_overwrite_params(IsolationForest) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimator_sparse_data(IsolationForest) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_pickle(IsolationForest) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_predict1d(IsolationForest) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1sample(IsolationForest) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1feature(IsolationForest) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1feature(IsolationForest) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1sample(IsolationForest) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_get_params_invariance(IsolationForest) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dict_unchanged(IsolationForest) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dont_overwrite_parameters(IsolationForest) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_no_fit_attributes_set_in_init(Isomap) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_dtypes(Isomap) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit_score_takes_y(Isomap) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dtype_object(Isomap) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_pandas_series(Isomap) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_list(Isomap) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_fit_returns_self(Isomap) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_empty_data_messages(Isomap) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_pipeline_consistency(Isomap) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_nan_inf(Isomap) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_overwrite_params(Isomap) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimator_sparse_data(Isomap) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_pickle(Isomap) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformer_data_not_an_array(Isomap) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformer_general(Isomap) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformers_unfitted(Isomap) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_predict1d(Isomap) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1sample(Isomap) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1feature(Isomap) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1feature(Isomap) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1sample(Isomap) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_get_params_invariance(Isomap) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dict_unchanged(Isomap) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dont_overwrite_parameters(Isomap) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_no_fit_attributes_set_in_init(KMeans) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_dtypes(KMeans) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit_score_takes_y(KMeans) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dtype_object(KMeans) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_pandas_series(KMeans) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_list(KMeans) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_fit_returns_self(KMeans) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_empty_data_messages(KMeans) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_pipeline_consistency(KMeans) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_nan_inf(KMeans) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_overwrite_params(KMeans) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimator_sparse_data(KMeans) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_pickle(KMeans) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformer_data_not_an_array(KMeans) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformer_general(KMeans) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformers_unfitted(KMeans) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformer_n_iter(KMeans) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_clusterer_compute_labels_predict(KMeans) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_clustering(KMeans) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_partial_fit_n_features(KMeans) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_non_transformer_estimators_n_iter(KMeans) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_predict1d(KMeans) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1sample(KMeans) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1feature(KMeans) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1feature(KMeans) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1sample(KMeans) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_get_params_invariance(KMeans) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dict_unchanged(KMeans) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dont_overwrite_parameters(KMeans) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_no_fit_attributes_set_in_init(KNeighborsClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_dtypes(KNeighborsClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit_score_takes_y(KNeighborsClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dtype_object(KNeighborsClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_pandas_series(KNeighborsClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_list(KNeighborsClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_fit_returns_self(KNeighborsClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_empty_data_messages(KNeighborsClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_pipeline_consistency(KNeighborsClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_nan_inf(KNeighborsClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_overwrite_params(KNeighborsClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimator_sparse_data(KNeighborsClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_pickle(KNeighborsClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_classifier_data_not_an_array(KNeighborsClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_classifiers_one_label(KNeighborsClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_classifiers_classes(KNeighborsClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_partial_fit_n_features(KNeighborsClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_classifiers_train(KNeighborsClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_classifiers_regression_target(KNeighborsClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_supervised_y_2d(KNeighborsClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_unfitted(KNeighborsClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_non_transformer_estimators_n_iter(KNeighborsClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_decision_proba_consistency(KNeighborsClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_predict1d(KNeighborsClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1sample(KNeighborsClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1feature(KNeighborsClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1feature(KNeighborsClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1sample(KNeighborsClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_get_params_invariance(KNeighborsClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dict_unchanged(KNeighborsClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dont_overwrite_parameters(KNeighborsClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_no_fit_attributes_set_in_init(KNeighborsRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_dtypes(KNeighborsRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit_score_takes_y(KNeighborsRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dtype_object(KNeighborsRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_pandas_series(KNeighborsRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_list(KNeighborsRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_fit_returns_self(KNeighborsRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_empty_data_messages(KNeighborsRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_pipeline_consistency(KNeighborsRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_nan_inf(KNeighborsRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_overwrite_params(KNeighborsRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimator_sparse_data(KNeighborsRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_pickle(KNeighborsRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressors_train(KNeighborsRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressor_data_not_an_array(KNeighborsRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_partial_fit_n_features(KNeighborsRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressors_no_decision_function(KNeighborsRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_supervised_y_2d(KNeighborsRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_supervised_y_no_nan(KNeighborsRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressors_int(KNeighborsRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_unfitted(KNeighborsRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_non_transformer_estimators_n_iter(KNeighborsRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_predict1d(KNeighborsRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1sample(KNeighborsRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1feature(KNeighborsRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1feature(KNeighborsRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1sample(KNeighborsRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_get_params_invariance(KNeighborsRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dict_unchanged(KNeighborsRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dont_overwrite_parameters(KNeighborsRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_no_fit_attributes_set_in_init(KernelCenterer) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_dtypes(KernelCenterer) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit_score_takes_y(KernelCenterer) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dtype_object(KernelCenterer) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_pandas_series(KernelCenterer) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_list(KernelCenterer) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_fit_returns_self(KernelCenterer) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_empty_data_messages(KernelCenterer) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_pipeline_consistency(KernelCenterer) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_nan_inf(KernelCenterer) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_overwrite_params(KernelCenterer) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimator_sparse_data(KernelCenterer) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_pickle(KernelCenterer) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformer_data_not_an_array(KernelCenterer) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformer_general(KernelCenterer) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformers_unfitted(KernelCenterer) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformer_n_iter(KernelCenterer) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_predict1d(KernelCenterer) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1sample(KernelCenterer) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1feature(KernelCenterer) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1feature(KernelCenterer) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1sample(KernelCenterer) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_get_params_invariance(KernelCenterer) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dict_unchanged(KernelCenterer) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dont_overwrite_parameters(KernelCenterer) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_no_fit_attributes_set_in_init(KernelDensity) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_dtypes(KernelDensity) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit_score_takes_y(KernelDensity) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dtype_object(KernelDensity) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_pandas_series(KernelDensity) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_list(KernelDensity) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_fit_returns_self(KernelDensity) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_empty_data_messages(KernelDensity) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_pipeline_consistency(KernelDensity) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_nan_inf(KernelDensity) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_overwrite_params(KernelDensity) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimator_sparse_data(KernelDensity) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_pickle(KernelDensity) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_predict1d(KernelDensity) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1sample(KernelDensity) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1feature(KernelDensity) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1feature(KernelDensity) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1sample(KernelDensity) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_get_params_invariance(KernelDensity) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dict_unchanged(KernelDensity) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dont_overwrite_parameters(KernelDensity) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_no_fit_attributes_set_in_init(KernelPCA) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_dtypes(KernelPCA) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit_score_takes_y(KernelPCA) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dtype_object(KernelPCA) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_pandas_series(KernelPCA) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_list(KernelPCA) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_fit_returns_self(KernelPCA) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_empty_data_messages(KernelPCA) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_pipeline_consistency(KernelPCA) ... SKIP: KernelPCA is non deterministic on 32bit Python
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_nan_inf(KernelPCA) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_overwrite_params(KernelPCA) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimator_sparse_data(KernelPCA) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_pickle(KernelPCA) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformer_data_not_an_array(KernelPCA) ... SKIP: KernelPCA is non deterministic on 32bit Python
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformer_general(KernelPCA) ... SKIP: KernelPCA is non deterministic on 32bit Python
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformers_unfitted(KernelPCA) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_predict1d(KernelPCA) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1sample(KernelPCA) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1feature(KernelPCA) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1feature(KernelPCA) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1sample(KernelPCA) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_get_params_invariance(KernelPCA) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dict_unchanged(KernelPCA) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dont_overwrite_parameters(KernelPCA) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_no_fit_attributes_set_in_init(KernelRidge) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_dtypes(KernelRidge) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit_score_takes_y(KernelRidge) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dtype_object(KernelRidge) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_pandas_series(KernelRidge) ... SKIP: pandas is not installed: not testing for input of type pandas.Series to class weight.
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_list(KernelRidge) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_fit_returns_self(KernelRidge) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_empty_data_messages(KernelRidge) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_pipeline_consistency(KernelRidge) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_nan_inf(KernelRidge) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_overwrite_params(KernelRidge) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimator_sparse_data(KernelRidge) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_pickle(KernelRidge) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressors_train(KernelRidge) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressor_data_not_an_array(KernelRidge) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_partial_fit_n_features(KernelRidge) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressors_no_decision_function(KernelRidge) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_supervised_y_2d(KernelRidge) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_supervised_y_no_nan(KernelRidge) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressors_int(KernelRidge) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_unfitted(KernelRidge) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_non_transformer_estimators_n_iter(KernelRidge) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_predict1d(KernelRidge) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1sample(KernelRidge) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1feature(KernelRidge) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1feature(KernelRidge) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1sample(KernelRidge) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_get_params_invariance(KernelRidge) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dict_unchanged(KernelRidge) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dont_overwrite_parameters(KernelRidge) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/neighbors/approximate.py:220: DeprecationWarning: LSHForest has poor performance and has been deprecated in 0.19. It will be removed in version 0.21.
DeprecationWarning)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_no_fit_attributes_set_in_init(LSHForest) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_dtypes(LSHForest) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit_score_takes_y(LSHForest) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dtype_object(LSHForest) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_pandas_series(LSHForest) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_list(LSHForest) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_fit_returns_self(LSHForest) ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/random_projection.py:378: DataDimensionalityWarning: The number of components is higher than the number of features: n_features < n_components (4 < 32).The dimensionality of the problem will not be reduced.
DataDimensionalityWarning)
ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_empty_data_messages(LSHForest) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_pipeline_consistency(LSHForest) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_nan_inf(LSHForest) ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/random_projection.py:378: DataDimensionalityWarning: The number of components is higher than the number of features: n_features < n_components (3 < 32).The dimensionality of the problem will not be reduced.
DataDimensionalityWarning)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/random_projection.py:378: DataDimensionalityWarning: The number of components is higher than the number of features: n_features < n_components (3 < 32).The dimensionality of the problem will not be reduced.
DataDimensionalityWarning)
ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_overwrite_params(LSHForest) ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/random_projection.py:378: DataDimensionalityWarning: The number of components is higher than the number of features: n_features < n_components (2 < 32).The dimensionality of the problem will not be reduced.
DataDimensionalityWarning)
ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimator_sparse_data(LSHForest) ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/random_projection.py:378: DataDimensionalityWarning: The number of components is higher than the number of features: n_features < n_components (10 < 32).The dimensionality of the problem will not be reduced.
DataDimensionalityWarning)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/random_projection.py:378: DataDimensionalityWarning: The number of components is higher than the number of features: n_features < n_components (10 < 32).The dimensionality of the problem will not be reduced.
DataDimensionalityWarning)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/random_projection.py:378: DataDimensionalityWarning: The number of components is higher than the number of features: n_features < n_components (10 < 32).The dimensionality of the problem will not be reduced.
DataDimensionalityWarning)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/random_projection.py:378: DataDimensionalityWarning: The number of components is higher than the number of features: n_features < n_components (10 < 32).The dimensionality of the problem will not be reduced.
DataDimensionalityWarning)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/random_projection.py:378: DataDimensionalityWarning: The number of components is higher than the number of features: n_features < n_components (10 < 32).The dimensionality of the problem will not be reduced.
DataDimensionalityWarning)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/random_projection.py:378: DataDimensionalityWarning: The number of components is higher than the number of features: n_features < n_components (10 < 32).The dimensionality of the problem will not be reduced.
DataDimensionalityWarning)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/random_projection.py:378: DataDimensionalityWarning: The number of components is higher than the number of features: n_features < n_components (10 < 32).The dimensionality of the problem will not be reduced.
DataDimensionalityWarning)
ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_pickle(LSHForest) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_predict1d(LSHForest) ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/random_projection.py:378: DataDimensionalityWarning: The number of components is higher than the number of features: n_features < n_components (3 < 32).The dimensionality of the problem will not be reduced.
DataDimensionalityWarning)
ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1sample(LSHForest) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1feature(LSHForest) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1feature(LSHForest) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1sample(LSHForest) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_get_params_invariance(LSHForest) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dict_unchanged(LSHForest) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dont_overwrite_parameters(LSHForest) ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/random_projection.py:378: DataDimensionalityWarning: The number of components is higher than the number of features: n_features < n_components (3 < 32).The dimensionality of the problem will not be reduced.
DataDimensionalityWarning)
ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_no_fit_attributes_set_in_init(LabelPropagation) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_dtypes(LabelPropagation) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit_score_takes_y(LabelPropagation) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dtype_object(LabelPropagation) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_pandas_series(LabelPropagation) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_list(LabelPropagation) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_fit_returns_self(LabelPropagation) ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/metrics/pairwise.py:844: RuntimeWarning: underflow encountered in exp
np.exp(K, K) # exponentiate K in-place
ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_empty_data_messages(LabelPropagation) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_pipeline_consistency(LabelPropagation) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_nan_inf(LabelPropagation) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_overwrite_params(LabelPropagation) ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/metrics/pairwise.py:844: RuntimeWarning: underflow encountered in exp
np.exp(K, K) # exponentiate K in-place
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/semi_supervised/label_propagation.py:402: RuntimeWarning: underflow encountered in true_divide
affinity_matrix /= normalizer[:, np.newaxis]
ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimator_sparse_data(LabelPropagation) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_pickle(LabelPropagation) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_classifier_data_not_an_array(LabelPropagation) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_classifiers_one_label(LabelPropagation) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_classifiers_classes(LabelPropagation) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_partial_fit_n_features(LabelPropagation) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_classifiers_train(LabelPropagation) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_classifiers_regression_target(LabelPropagation) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_unfitted(LabelPropagation) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_non_transformer_estimators_n_iter(LabelPropagation) ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/metrics/pairwise.py:844: RuntimeWarning: underflow encountered in exp
np.exp(K, K) # exponentiate K in-place
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/semi_supervised/label_propagation.py:402: RuntimeWarning: underflow encountered in true_divide
affinity_matrix /= normalizer[:, np.newaxis]
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/semi_supervised/label_propagation.py:277: RuntimeWarning: underflow encountered in true_divide
self.label_distributions_ /= normalizer
ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_decision_proba_consistency(LabelPropagation) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_predict1d(LabelPropagation) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1sample(LabelPropagation) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1feature(LabelPropagation) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1feature(LabelPropagation) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1sample(LabelPropagation) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_get_params_invariance(LabelPropagation) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dict_unchanged(LabelPropagation) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dont_overwrite_parameters(LabelPropagation) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_no_fit_attributes_set_in_init(LabelSpreading) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_dtypes(LabelSpreading) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit_score_takes_y(LabelSpreading) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dtype_object(LabelSpreading) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_pandas_series(LabelSpreading) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_list(LabelSpreading) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_fit_returns_self(LabelSpreading) ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/metrics/pairwise.py:844: RuntimeWarning: underflow encountered in exp
np.exp(K, K) # exponentiate K in-place
ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_empty_data_messages(LabelSpreading) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_pipeline_consistency(LabelSpreading) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_nan_inf(LabelSpreading) ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/semi_supervised/label_propagation.py:288: ConvergenceWarning: max_iter=5 was reached without convergence.
category=ConvergenceWarning
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/semi_supervised/label_propagation.py:288: ConvergenceWarning: max_iter=5 was reached without convergence.
category=ConvergenceWarning
ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_overwrite_params(LabelSpreading) ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/metrics/pairwise.py:844: RuntimeWarning: underflow encountered in exp
np.exp(K, K) # exponentiate K in-place
/usr/lib/python3/dist-packages/scipy/sparse/csgraph/_laplacian.py:121: RuntimeWarning: underflow encountered in true_divide
m /= w
ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimator_sparse_data(LabelSpreading) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_pickle(LabelSpreading) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_classifier_data_not_an_array(LabelSpreading) ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/semi_supervised/label_propagation.py:288: ConvergenceWarning: max_iter=5 was reached without convergence.
category=ConvergenceWarning
ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_classifiers_one_label(LabelSpreading) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_classifiers_classes(LabelSpreading) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_partial_fit_n_features(LabelSpreading) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_classifiers_train(LabelSpreading) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_classifiers_regression_target(LabelSpreading) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_unfitted(LabelSpreading) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_non_transformer_estimators_n_iter(LabelSpreading) ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/metrics/pairwise.py:844: RuntimeWarning: underflow encountered in exp
np.exp(K, K) # exponentiate K in-place
/usr/lib/python3/dist-packages/scipy/sparse/csgraph/_laplacian.py:121: RuntimeWarning: underflow encountered in true_divide
m /= w
/usr/lib/python3/dist-packages/scipy/sparse/csgraph/_laplacian.py:122: RuntimeWarning: underflow encountered in true_divide
m /= w[:, np.newaxis]
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/semi_supervised/label_propagation.py:284: RuntimeWarning: underflow encountered in multiply
alpha, self.label_distributions_) + y_static
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/semi_supervised/label_propagation.py:288: ConvergenceWarning: max_iter=5 was reached without convergence.
category=ConvergenceWarning
ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_decision_proba_consistency(LabelSpreading) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_predict1d(LabelSpreading) ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/semi_supervised/label_propagation.py:288: ConvergenceWarning: max_iter=5 was reached without convergence.
category=ConvergenceWarning
ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1sample(LabelSpreading) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1feature(LabelSpreading) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1feature(LabelSpreading) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1sample(LabelSpreading) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_get_params_invariance(LabelSpreading) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dict_unchanged(LabelSpreading) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dont_overwrite_parameters(LabelSpreading) ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/semi_supervised/label_propagation.py:288: ConvergenceWarning: max_iter=5 was reached without convergence.
category=ConvergenceWarning
ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_no_fit_attributes_set_in_init(Lars) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_dtypes(Lars) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit_score_takes_y(Lars) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dtype_object(Lars) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_pandas_series(Lars) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_list(Lars) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_fit_returns_self(Lars) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_empty_data_messages(Lars) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_pipeline_consistency(Lars) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_nan_inf(Lars) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_overwrite_params(Lars) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimator_sparse_data(Lars) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_pickle(Lars) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressors_train(Lars) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressor_data_not_an_array(Lars) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_partial_fit_n_features(Lars) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressors_no_decision_function(Lars) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_supervised_y_2d(Lars) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_supervised_y_no_nan(Lars) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressors_int(Lars) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_unfitted(Lars) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_non_transformer_estimators_n_iter(Lars) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_predict1d(Lars) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1sample(Lars) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1feature(Lars) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1feature(Lars) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1sample(Lars) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_get_params_invariance(Lars) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dict_unchanged(Lars) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dont_overwrite_parameters(Lars) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_no_fit_attributes_set_in_init(LarsCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_dtypes(LarsCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit_score_takes_y(LarsCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dtype_object(LarsCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_pandas_series(LarsCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_list(LarsCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_fit_returns_self(LarsCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_empty_data_messages(LarsCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_pipeline_consistency(LarsCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_nan_inf(LarsCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_overwrite_params(LarsCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimator_sparse_data(LarsCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_pickle(LarsCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressors_train(LarsCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressor_data_not_an_array(LarsCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_partial_fit_n_features(LarsCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressors_no_decision_function(LarsCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_supervised_y_2d(LarsCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_supervised_y_no_nan(LarsCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressors_int(LarsCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_unfitted(LarsCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_non_transformer_estimators_n_iter(LarsCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_predict1d(LarsCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1sample(LarsCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1feature(LarsCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1feature(LarsCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1sample(LarsCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_get_params_invariance(LarsCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dict_unchanged(LarsCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dont_overwrite_parameters(LarsCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_no_fit_attributes_set_in_init(Lasso) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_dtypes(Lasso) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit_score_takes_y(Lasso) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dtype_object(Lasso) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_pandas_series(Lasso) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_list(Lasso) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_fit_returns_self(Lasso) ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/coordinate_descent.py:491: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
ConvergenceWarning)
ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_empty_data_messages(Lasso) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_pipeline_consistency(Lasso) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_nan_inf(Lasso) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_overwrite_params(Lasso) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimator_sparse_data(Lasso) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_pickle(Lasso) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressors_train(Lasso) ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/coordinate_descent.py:491: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
ConvergenceWarning)
ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressor_data_not_an_array(Lasso) ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/coordinate_descent.py:491: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
ConvergenceWarning)
ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_partial_fit_n_features(Lasso) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressors_no_decision_function(Lasso) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_supervised_y_2d(Lasso) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_supervised_y_no_nan(Lasso) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressors_int(Lasso) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_unfitted(Lasso) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_non_transformer_estimators_n_iter(Lasso) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_predict1d(Lasso) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1sample(Lasso) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1feature(Lasso) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1feature(Lasso) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1sample(Lasso) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_get_params_invariance(Lasso) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dict_unchanged(Lasso) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dont_overwrite_parameters(Lasso) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_no_fit_attributes_set_in_init(LassoCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_dtypes(LassoCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit_score_takes_y(LassoCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dtype_object(LassoCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_pandas_series(LassoCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_list(LassoCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_fit_returns_self(LassoCV) ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/coordinate_descent.py:491: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
ConvergenceWarning)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/coordinate_descent.py:491: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
ConvergenceWarning)
ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_empty_data_messages(LassoCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_pipeline_consistency(LassoCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_nan_inf(LassoCV) ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/coordinate_descent.py:491: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
ConvergenceWarning)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/coordinate_descent.py:491: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
ConvergenceWarning)
ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_overwrite_params(LassoCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimator_sparse_data(LassoCV) ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/coordinate_descent.py:491: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
ConvergenceWarning)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/coordinate_descent.py:491: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
ConvergenceWarning)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/coordinate_descent.py:491: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
ConvergenceWarning)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/coordinate_descent.py:491: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
ConvergenceWarning)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/coordinate_descent.py:491: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
ConvergenceWarning)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/coordinate_descent.py:491: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
ConvergenceWarning)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/coordinate_descent.py:491: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
ConvergenceWarning)
ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_pickle(LassoCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressors_train(LassoCV) ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/coordinate_descent.py:491: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
ConvergenceWarning)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/coordinate_descent.py:491: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
ConvergenceWarning)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/coordinate_descent.py:491: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
ConvergenceWarning)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/coordinate_descent.py:491: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
ConvergenceWarning)
ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressor_data_not_an_array(LassoCV) ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/coordinate_descent.py:491: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
ConvergenceWarning)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/coordinate_descent.py:491: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
ConvergenceWarning)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/coordinate_descent.py:491: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
ConvergenceWarning)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/coordinate_descent.py:491: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
ConvergenceWarning)
ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_partial_fit_n_features(LassoCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressors_no_decision_function(LassoCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_supervised_y_2d(LassoCV) ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/coordinate_descent.py:491: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
ConvergenceWarning)
ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_supervised_y_no_nan(LassoCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressors_int(LassoCV) ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/coordinate_descent.py:491: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
ConvergenceWarning)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/coordinate_descent.py:491: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
ConvergenceWarning)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/coordinate_descent.py:491: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
ConvergenceWarning)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/coordinate_descent.py:491: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
ConvergenceWarning)
ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_unfitted(LassoCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_non_transformer_estimators_n_iter(LassoCV) ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/coordinate_descent.py:491: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
ConvergenceWarning)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/coordinate_descent.py:491: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
ConvergenceWarning)
ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_predict1d(LassoCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1sample(LassoCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1feature(LassoCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1feature(LassoCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1sample(LassoCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_get_params_invariance(LassoCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dict_unchanged(LassoCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dont_overwrite_parameters(LassoCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_no_fit_attributes_set_in_init(LassoLars) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_dtypes(LassoLars) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit_score_takes_y(LassoLars) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dtype_object(LassoLars) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_pandas_series(LassoLars) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_list(LassoLars) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_fit_returns_self(LassoLars) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_empty_data_messages(LassoLars) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_pipeline_consistency(LassoLars) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_nan_inf(LassoLars) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_overwrite_params(LassoLars) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimator_sparse_data(LassoLars) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_pickle(LassoLars) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressors_train(LassoLars) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressor_data_not_an_array(LassoLars) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_partial_fit_n_features(LassoLars) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressors_no_decision_function(LassoLars) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_supervised_y_2d(LassoLars) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_supervised_y_no_nan(LassoLars) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressors_int(LassoLars) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_unfitted(LassoLars) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_non_transformer_estimators_n_iter(LassoLars) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_predict1d(LassoLars) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1sample(LassoLars) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1feature(LassoLars) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1feature(LassoLars) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1sample(LassoLars) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_get_params_invariance(LassoLars) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dict_unchanged(LassoLars) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dont_overwrite_parameters(LassoLars) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_no_fit_attributes_set_in_init(LassoLarsCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_dtypes(LassoLarsCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit_score_takes_y(LassoLarsCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dtype_object(LassoLarsCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_pandas_series(LassoLarsCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_list(LassoLarsCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_fit_returns_self(LassoLarsCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_empty_data_messages(LassoLarsCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_pipeline_consistency(LassoLarsCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_nan_inf(LassoLarsCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_overwrite_params(LassoLarsCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimator_sparse_data(LassoLarsCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_pickle(LassoLarsCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressors_train(LassoLarsCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressor_data_not_an_array(LassoLarsCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_partial_fit_n_features(LassoLarsCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressors_no_decision_function(LassoLarsCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_supervised_y_2d(LassoLarsCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_supervised_y_no_nan(LassoLarsCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressors_int(LassoLarsCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_unfitted(LassoLarsCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_non_transformer_estimators_n_iter(LassoLarsCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_predict1d(LassoLarsCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1sample(LassoLarsCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1feature(LassoLarsCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1feature(LassoLarsCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1sample(LassoLarsCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_get_params_invariance(LassoLarsCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dict_unchanged(LassoLarsCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dont_overwrite_parameters(LassoLarsCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_no_fit_attributes_set_in_init(LassoLarsIC) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_dtypes(LassoLarsIC) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit_score_takes_y(LassoLarsIC) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dtype_object(LassoLarsIC) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_pandas_series(LassoLarsIC) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_list(LassoLarsIC) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_fit_returns_self(LassoLarsIC) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_empty_data_messages(LassoLarsIC) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_pipeline_consistency(LassoLarsIC) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_nan_inf(LassoLarsIC) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_overwrite_params(LassoLarsIC) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimator_sparse_data(LassoLarsIC) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_pickle(LassoLarsIC) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressors_train(LassoLarsIC) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressor_data_not_an_array(LassoLarsIC) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_partial_fit_n_features(LassoLarsIC) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressors_no_decision_function(LassoLarsIC) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_supervised_y_2d(LassoLarsIC) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_supervised_y_no_nan(LassoLarsIC) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressors_int(LassoLarsIC) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_unfitted(LassoLarsIC) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_non_transformer_estimators_n_iter(LassoLarsIC) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_predict1d(LassoLarsIC) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1sample(LassoLarsIC) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1feature(LassoLarsIC) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1feature(LassoLarsIC) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1sample(LassoLarsIC) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_get_params_invariance(LassoLarsIC) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dict_unchanged(LassoLarsIC) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dont_overwrite_parameters(LassoLarsIC) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_no_fit_attributes_set_in_init(LatentDirichletAllocation) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_dtypes(LatentDirichletAllocation) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit_score_takes_y(LatentDirichletAllocation) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dtype_object(LatentDirichletAllocation) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_pandas_series(LatentDirichletAllocation) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_list(LatentDirichletAllocation) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_fit_returns_self(LatentDirichletAllocation) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_empty_data_messages(LatentDirichletAllocation) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_pipeline_consistency(LatentDirichletAllocation) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_nan_inf(LatentDirichletAllocation) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_overwrite_params(LatentDirichletAllocation) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimator_sparse_data(LatentDirichletAllocation) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_pickle(LatentDirichletAllocation) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformer_data_not_an_array(LatentDirichletAllocation) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformer_general(LatentDirichletAllocation) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformers_unfitted(LatentDirichletAllocation) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformer_n_iter(LatentDirichletAllocation) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_predict1d(LatentDirichletAllocation) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1sample(LatentDirichletAllocation) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1feature(LatentDirichletAllocation) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1feature(LatentDirichletAllocation) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1sample(LatentDirichletAllocation) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_get_params_invariance(LatentDirichletAllocation) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dict_unchanged(LatentDirichletAllocation) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dont_overwrite_parameters(LatentDirichletAllocation) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_no_fit_attributes_set_in_init(LedoitWolf) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_dtypes(LedoitWolf) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit_score_takes_y(LedoitWolf) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dtype_object(LedoitWolf) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_pandas_series(LedoitWolf) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_list(LedoitWolf) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_fit_returns_self(LedoitWolf) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_empty_data_messages(LedoitWolf) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_pipeline_consistency(LedoitWolf) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_nan_inf(LedoitWolf) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_overwrite_params(LedoitWolf) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimator_sparse_data(LedoitWolf) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_pickle(LedoitWolf) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_predict1d(LedoitWolf) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1sample(LedoitWolf) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1feature(LedoitWolf) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1feature(LedoitWolf) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1sample(LedoitWolf) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_get_params_invariance(LedoitWolf) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dict_unchanged(LedoitWolf) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dont_overwrite_parameters(LedoitWolf) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_no_fit_attributes_set_in_init(LinearDiscriminantAnalysis) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_dtypes(LinearDiscriminantAnalysis) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit_score_takes_y(LinearDiscriminantAnalysis) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dtype_object(LinearDiscriminantAnalysis) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_pandas_series(LinearDiscriminantAnalysis) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_list(LinearDiscriminantAnalysis) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_fit_returns_self(LinearDiscriminantAnalysis) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_empty_data_messages(LinearDiscriminantAnalysis) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_pipeline_consistency(LinearDiscriminantAnalysis) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_nan_inf(LinearDiscriminantAnalysis) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_overwrite_params(LinearDiscriminantAnalysis) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimator_sparse_data(LinearDiscriminantAnalysis) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_pickle(LinearDiscriminantAnalysis) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_classifier_data_not_an_array(LinearDiscriminantAnalysis) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_classifiers_one_label(LinearDiscriminantAnalysis) ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/discriminant_analysis.py:402: RuntimeWarning: invalid value encountered in true_divide
S**2))[:self._max_components]
ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_classifiers_classes(LinearDiscriminantAnalysis) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_partial_fit_n_features(LinearDiscriminantAnalysis) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_classifiers_train(LinearDiscriminantAnalysis) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_classifiers_regression_target(LinearDiscriminantAnalysis) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_supervised_y_2d(LinearDiscriminantAnalysis) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_unfitted(LinearDiscriminantAnalysis) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_non_transformer_estimators_n_iter(LinearDiscriminantAnalysis) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_decision_proba_consistency(LinearDiscriminantAnalysis) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformer_data_not_an_array(LinearDiscriminantAnalysis) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformer_general(LinearDiscriminantAnalysis) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformers_unfitted(LinearDiscriminantAnalysis) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformer_n_iter(LinearDiscriminantAnalysis) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_predict1d(LinearDiscriminantAnalysis) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1sample(LinearDiscriminantAnalysis) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1feature(LinearDiscriminantAnalysis) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1feature(LinearDiscriminantAnalysis) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1sample(LinearDiscriminantAnalysis) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_get_params_invariance(LinearDiscriminantAnalysis) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dict_unchanged(LinearDiscriminantAnalysis) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dont_overwrite_parameters(LinearDiscriminantAnalysis) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_no_fit_attributes_set_in_init(LinearRegression) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_dtypes(LinearRegression) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit_score_takes_y(LinearRegression) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dtype_object(LinearRegression) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_pandas_series(LinearRegression) ... SKIP: pandas is not installed: not testing for input of type pandas.Series to class weight.
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_list(LinearRegression) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_fit_returns_self(LinearRegression) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_empty_data_messages(LinearRegression) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_pipeline_consistency(LinearRegression) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_nan_inf(LinearRegression) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_overwrite_params(LinearRegression) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimator_sparse_data(LinearRegression) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_pickle(LinearRegression) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressors_train(LinearRegression) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressor_data_not_an_array(LinearRegression) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_partial_fit_n_features(LinearRegression) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressors_no_decision_function(LinearRegression) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_supervised_y_2d(LinearRegression) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_supervised_y_no_nan(LinearRegression) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressors_int(LinearRegression) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_unfitted(LinearRegression) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_non_transformer_estimators_n_iter(LinearRegression) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_predict1d(LinearRegression) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1sample(LinearRegression) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1feature(LinearRegression) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1feature(LinearRegression) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1sample(LinearRegression) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_get_params_invariance(LinearRegression) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dict_unchanged(LinearRegression) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dont_overwrite_parameters(LinearRegression) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_no_fit_attributes_set_in_init(LinearSVC) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_dtypes(LinearSVC) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit_score_takes_y(LinearSVC) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dtype_object(LinearSVC) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_pandas_series(LinearSVC) ... SKIP: pandas is not installed: not testing for input of type pandas.Series to class weight.
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_list(LinearSVC) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_fit_returns_self(LinearSVC) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_empty_data_messages(LinearSVC) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_pipeline_consistency(LinearSVC) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_nan_inf(LinearSVC) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_overwrite_params(LinearSVC) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sparsify_coefficients(LinearSVC) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimator_sparse_data(LinearSVC) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_pickle(LinearSVC) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_classifier_data_not_an_array(LinearSVC) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_classifiers_one_label(LinearSVC) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_classifiers_classes(LinearSVC) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_partial_fit_n_features(LinearSVC) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_classifiers_train(LinearSVC) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_classifiers_regression_target(LinearSVC) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_supervised_y_2d(LinearSVC) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_unfitted(LinearSVC) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_class_weight_classifiers(LinearSVC) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_non_transformer_estimators_n_iter(LinearSVC) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_decision_proba_consistency(LinearSVC) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_predict1d(LinearSVC) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1sample(LinearSVC) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1feature(LinearSVC) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1feature(LinearSVC) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1sample(LinearSVC) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_get_params_invariance(LinearSVC) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dict_unchanged(LinearSVC) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dont_overwrite_parameters(LinearSVC) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_no_fit_attributes_set_in_init(LinearSVR) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_dtypes(LinearSVR) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit_score_takes_y(LinearSVR) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dtype_object(LinearSVR) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_pandas_series(LinearSVR) ... SKIP: pandas is not installed: not testing for input of type pandas.Series to class weight.
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_list(LinearSVR) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_fit_returns_self(LinearSVR) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_empty_data_messages(LinearSVR) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_pipeline_consistency(LinearSVR) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_nan_inf(LinearSVR) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_overwrite_params(LinearSVR) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimator_sparse_data(LinearSVR) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_pickle(LinearSVR) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressors_train(LinearSVR) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressor_data_not_an_array(LinearSVR) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_partial_fit_n_features(LinearSVR) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressors_no_decision_function(LinearSVR) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_supervised_y_2d(LinearSVR) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_supervised_y_no_nan(LinearSVR) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressors_int(LinearSVR) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_unfitted(LinearSVR) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_non_transformer_estimators_n_iter(LinearSVR) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_predict1d(LinearSVR) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1sample(LinearSVR) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1feature(LinearSVR) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1feature(LinearSVR) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1sample(LinearSVR) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_get_params_invariance(LinearSVR) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dict_unchanged(LinearSVR) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dont_overwrite_parameters(LinearSVR) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_no_fit_attributes_set_in_init(LocalOutlierFactor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_dtypes(LocalOutlierFactor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit_score_takes_y(LocalOutlierFactor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dtype_object(LocalOutlierFactor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_pandas_series(LocalOutlierFactor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_list(LocalOutlierFactor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_fit_returns_self(LocalOutlierFactor) ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/neighbors/lof.py:180: UserWarning: n_neighbors (20) is greater than the total number of samples (9). n_neighbors will be set to (n_samples - 1) for estimation.
% (self.n_neighbors, n_samples))
ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_empty_data_messages(LocalOutlierFactor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_pipeline_consistency(LocalOutlierFactor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_nan_inf(LocalOutlierFactor) ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/neighbors/lof.py:180: UserWarning: n_neighbors (20) is greater than the total number of samples (10). n_neighbors will be set to (n_samples - 1) for estimation.
% (self.n_neighbors, n_samples))
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/neighbors/lof.py:180: UserWarning: n_neighbors (20) is greater than the total number of samples (10). n_neighbors will be set to (n_samples - 1) for estimation.
% (self.n_neighbors, n_samples))
ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_overwrite_params(LocalOutlierFactor) ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/neighbors/lof.py:180: UserWarning: n_neighbors (20) is greater than the total number of samples (9). n_neighbors will be set to (n_samples - 1) for estimation.
% (self.n_neighbors, n_samples))
ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimator_sparse_data(LocalOutlierFactor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_pickle(LocalOutlierFactor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_predict1d(LocalOutlierFactor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1sample(LocalOutlierFactor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1feature(LocalOutlierFactor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1feature(LocalOutlierFactor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1sample(LocalOutlierFactor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_get_params_invariance(LocalOutlierFactor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dict_unchanged(LocalOutlierFactor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dont_overwrite_parameters(LocalOutlierFactor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_no_fit_attributes_set_in_init(LocallyLinearEmbedding) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_dtypes(LocallyLinearEmbedding) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit_score_takes_y(LocallyLinearEmbedding) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dtype_object(LocallyLinearEmbedding) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_pandas_series(LocallyLinearEmbedding) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_list(LocallyLinearEmbedding) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_fit_returns_self(LocallyLinearEmbedding) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_empty_data_messages(LocallyLinearEmbedding) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_pipeline_consistency(LocallyLinearEmbedding) ... SKIP: LocallyLinearEmbedding is non deterministic on 32bit Python
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_nan_inf(LocallyLinearEmbedding) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_overwrite_params(LocallyLinearEmbedding) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimator_sparse_data(LocallyLinearEmbedding) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_pickle(LocallyLinearEmbedding) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformer_data_not_an_array(LocallyLinearEmbedding) ... SKIP: LocallyLinearEmbedding is non deterministic on 32bit Python
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformer_general(LocallyLinearEmbedding) ... SKIP: LocallyLinearEmbedding is non deterministic on 32bit Python
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformers_unfitted(LocallyLinearEmbedding) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_predict1d(LocallyLinearEmbedding) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1sample(LocallyLinearEmbedding) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1feature(LocallyLinearEmbedding) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1feature(LocallyLinearEmbedding) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1sample(LocallyLinearEmbedding) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_get_params_invariance(LocallyLinearEmbedding) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dict_unchanged(LocallyLinearEmbedding) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dont_overwrite_parameters(LocallyLinearEmbedding) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_no_fit_attributes_set_in_init(LogisticRegression) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_dtypes(LogisticRegression) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit_score_takes_y(LogisticRegression) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dtype_object(LogisticRegression) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_pandas_series(LogisticRegression) ... SKIP: pandas is not installed: not testing for input of type pandas.Series to class weight.
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_list(LogisticRegression) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_fit_returns_self(LogisticRegression) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_empty_data_messages(LogisticRegression) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_pipeline_consistency(LogisticRegression) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_nan_inf(LogisticRegression) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_overwrite_params(LogisticRegression) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sparsify_coefficients(LogisticRegression) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimator_sparse_data(LogisticRegression) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_pickle(LogisticRegression) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_classifier_data_not_an_array(LogisticRegression) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_classifiers_one_label(LogisticRegression) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_classifiers_classes(LogisticRegression) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_partial_fit_n_features(LogisticRegression) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_classifiers_train(LogisticRegression) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_classifiers_regression_target(LogisticRegression) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_supervised_y_2d(LogisticRegression) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_unfitted(LogisticRegression) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_class_weight_classifiers(LogisticRegression) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_non_transformer_estimators_n_iter(LogisticRegression) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_decision_proba_consistency(LogisticRegression) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_predict1d(LogisticRegression) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1sample(LogisticRegression) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1feature(LogisticRegression) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1feature(LogisticRegression) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1sample(LogisticRegression) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_get_params_invariance(LogisticRegression) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dict_unchanged(LogisticRegression) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dont_overwrite_parameters(LogisticRegression) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_no_fit_attributes_set_in_init(LogisticRegressionCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_dtypes(LogisticRegressionCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit_score_takes_y(LogisticRegressionCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dtype_object(LogisticRegressionCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_pandas_series(LogisticRegressionCV) ... SKIP: pandas is not installed: not testing for input of type pandas.Series to class weight.
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_list(LogisticRegressionCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_fit_returns_self(LogisticRegressionCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_empty_data_messages(LogisticRegressionCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_pipeline_consistency(LogisticRegressionCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_nan_inf(LogisticRegressionCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_overwrite_params(LogisticRegressionCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sparsify_coefficients(LogisticRegressionCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimator_sparse_data(LogisticRegressionCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_pickle(LogisticRegressionCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_classifier_data_not_an_array(LogisticRegressionCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_classifiers_one_label(LogisticRegressionCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_classifiers_classes(LogisticRegressionCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_partial_fit_n_features(LogisticRegressionCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_classifiers_train(LogisticRegressionCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_classifiers_regression_target(LogisticRegressionCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_supervised_y_2d(LogisticRegressionCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_unfitted(LogisticRegressionCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_class_weight_classifiers(LogisticRegressionCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_non_transformer_estimators_n_iter(LogisticRegressionCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_decision_proba_consistency(LogisticRegressionCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_predict1d(LogisticRegressionCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1sample(LogisticRegressionCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1feature(LogisticRegressionCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1feature(LogisticRegressionCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1sample(LogisticRegressionCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_get_params_invariance(LogisticRegressionCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dict_unchanged(LogisticRegressionCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dont_overwrite_parameters(LogisticRegressionCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_no_fit_attributes_set_in_init(MDS) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_dtypes(MDS) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit_score_takes_y(MDS) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dtype_object(MDS) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_pandas_series(MDS) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_list(MDS) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_fit_returns_self(MDS) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_empty_data_messages(MDS) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_pipeline_consistency(MDS) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_nan_inf(MDS) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_overwrite_params(MDS) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimator_sparse_data(MDS) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_pickle(MDS) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_predict1d(MDS) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1sample(MDS) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1feature(MDS) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1feature(MDS) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1sample(MDS) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_get_params_invariance(MDS) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dict_unchanged(MDS) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dont_overwrite_parameters(MDS) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_no_fit_attributes_set_in_init(MLPClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_dtypes(MLPClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit_score_takes_y(MLPClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dtype_object(MLPClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_pandas_series(MLPClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_list(MLPClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_fit_returns_self(MLPClassifier) ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/neural_network/multilayer_perceptron.py:564: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (100) reached and the optimization hasn't converged yet.
% self.max_iter, ConvergenceWarning)
ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_empty_data_messages(MLPClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_pipeline_consistency(MLPClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_nan_inf(MLPClassifier) ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/neural_network/multilayer_perceptron.py:564: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (100) reached and the optimization hasn't converged yet.
% self.max_iter, ConvergenceWarning)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/neural_network/multilayer_perceptron.py:564: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (100) reached and the optimization hasn't converged yet.
% self.max_iter, ConvergenceWarning)
ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_overwrite_params(MLPClassifier) ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/neural_network/multilayer_perceptron.py:564: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (100) reached and the optimization hasn't converged yet.
% self.max_iter, ConvergenceWarning)
ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimator_sparse_data(MLPClassifier) ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/neural_network/multilayer_perceptron.py:564: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (100) reached and the optimization hasn't converged yet.
% self.max_iter, ConvergenceWarning)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/neural_network/multilayer_perceptron.py:564: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (100) reached and the optimization hasn't converged yet.
% self.max_iter, ConvergenceWarning)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/neural_network/multilayer_perceptron.py:564: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (100) reached and the optimization hasn't converged yet.
% self.max_iter, ConvergenceWarning)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/neural_network/multilayer_perceptron.py:564: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (100) reached and the optimization hasn't converged yet.
% self.max_iter, ConvergenceWarning)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/neural_network/multilayer_perceptron.py:564: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (100) reached and the optimization hasn't converged yet.
% self.max_iter, ConvergenceWarning)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/neural_network/multilayer_perceptron.py:564: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (100) reached and the optimization hasn't converged yet.
% self.max_iter, ConvergenceWarning)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/neural_network/multilayer_perceptron.py:564: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (100) reached and the optimization hasn't converged yet.
% self.max_iter, ConvergenceWarning)
ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_pickle(MLPClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_classifier_data_not_an_array(MLPClassifier) ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/neural_network/multilayer_perceptron.py:564: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (100) reached and the optimization hasn't converged yet.
% self.max_iter, ConvergenceWarning)
ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_classifiers_one_label(MLPClassifier) ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/neural_network/multilayer_perceptron.py:564: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (100) reached and the optimization hasn't converged yet.
% self.max_iter, ConvergenceWarning)
ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_classifiers_classes(MLPClassifier) ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/neural_network/multilayer_perceptron.py:564: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (100) reached and the optimization hasn't converged yet.
% self.max_iter, ConvergenceWarning)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/neural_network/multilayer_perceptron.py:564: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (100) reached and the optimization hasn't converged yet.
% self.max_iter, ConvergenceWarning)
ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_partial_fit_n_features(MLPClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_classifiers_train(MLPClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_classifiers_regression_target(MLPClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_supervised_y_2d(MLPClassifier) ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/neural_network/multilayer_perceptron.py:564: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (100) reached and the optimization hasn't converged yet.
% self.max_iter, ConvergenceWarning)
ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_unfitted(MLPClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_non_transformer_estimators_n_iter(MLPClassifier) ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/neural_network/multilayer_perceptron.py:564: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (100) reached and the optimization hasn't converged yet.
% self.max_iter, ConvergenceWarning)
ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_decision_proba_consistency(MLPClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_predict1d(MLPClassifier) ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/neural_network/multilayer_perceptron.py:564: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (100) reached and the optimization hasn't converged yet.
% self.max_iter, ConvergenceWarning)
ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1sample(MLPClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1feature(MLPClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1feature(MLPClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1sample(MLPClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_get_params_invariance(MLPClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dict_unchanged(MLPClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dont_overwrite_parameters(MLPClassifier) ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/neural_network/multilayer_perceptron.py:564: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (100) reached and the optimization hasn't converged yet.
% self.max_iter, ConvergenceWarning)
ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_no_fit_attributes_set_in_init(MLPRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_dtypes(MLPRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit_score_takes_y(MLPRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dtype_object(MLPRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_pandas_series(MLPRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_list(MLPRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_fit_returns_self(MLPRegressor) ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/neural_network/multilayer_perceptron.py:564: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (100) reached and the optimization hasn't converged yet.
% self.max_iter, ConvergenceWarning)
ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_empty_data_messages(MLPRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_pipeline_consistency(MLPRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_nan_inf(MLPRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_overwrite_params(MLPRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimator_sparse_data(MLPRegressor) ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/neural_network/multilayer_perceptron.py:564: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (100) reached and the optimization hasn't converged yet.
% self.max_iter, ConvergenceWarning)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/neural_network/multilayer_perceptron.py:564: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (100) reached and the optimization hasn't converged yet.
% self.max_iter, ConvergenceWarning)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/neural_network/multilayer_perceptron.py:564: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (100) reached and the optimization hasn't converged yet.
% self.max_iter, ConvergenceWarning)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/neural_network/multilayer_perceptron.py:564: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (100) reached and the optimization hasn't converged yet.
% self.max_iter, ConvergenceWarning)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/neural_network/multilayer_perceptron.py:564: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (100) reached and the optimization hasn't converged yet.
% self.max_iter, ConvergenceWarning)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/neural_network/multilayer_perceptron.py:564: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (100) reached and the optimization hasn't converged yet.
% self.max_iter, ConvergenceWarning)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/neural_network/multilayer_perceptron.py:564: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (100) reached and the optimization hasn't converged yet.
% self.max_iter, ConvergenceWarning)
ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_pickle(MLPRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressors_train(MLPRegressor) ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/neural_network/multilayer_perceptron.py:564: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (100) reached and the optimization hasn't converged yet.
% self.max_iter, ConvergenceWarning)
ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressor_data_not_an_array(MLPRegressor) ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/neural_network/multilayer_perceptron.py:564: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (100) reached and the optimization hasn't converged yet.
% self.max_iter, ConvergenceWarning)
ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_partial_fit_n_features(MLPRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressors_no_decision_function(MLPRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_supervised_y_2d(MLPRegressor) ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/neural_network/multilayer_perceptron.py:564: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (100) reached and the optimization hasn't converged yet.
% self.max_iter, ConvergenceWarning)
ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_supervised_y_no_nan(MLPRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressors_int(MLPRegressor) ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/neural_network/multilayer_perceptron.py:564: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (100) reached and the optimization hasn't converged yet.
% self.max_iter, ConvergenceWarning)
ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_unfitted(MLPRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_non_transformer_estimators_n_iter(MLPRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_predict1d(MLPRegressor) ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/neural_network/multilayer_perceptron.py:564: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (100) reached and the optimization hasn't converged yet.
% self.max_iter, ConvergenceWarning)
ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1sample(MLPRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1feature(MLPRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1feature(MLPRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1sample(MLPRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_get_params_invariance(MLPRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dict_unchanged(MLPRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dont_overwrite_parameters(MLPRegressor) ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/neural_network/multilayer_perceptron.py:564: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (100) reached and the optimization hasn't converged yet.
% self.max_iter, ConvergenceWarning)
ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_no_fit_attributes_set_in_init(MaxAbsScaler) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_dtypes(MaxAbsScaler) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit_score_takes_y(MaxAbsScaler) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dtype_object(MaxAbsScaler) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_pandas_series(MaxAbsScaler) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_list(MaxAbsScaler) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_fit_returns_self(MaxAbsScaler) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_empty_data_messages(MaxAbsScaler) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_pipeline_consistency(MaxAbsScaler) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_nan_inf(MaxAbsScaler) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_overwrite_params(MaxAbsScaler) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimator_sparse_data(MaxAbsScaler) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_pickle(MaxAbsScaler) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformer_data_not_an_array(MaxAbsScaler) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformer_general(MaxAbsScaler) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformers_unfitted(MaxAbsScaler) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformer_n_iter(MaxAbsScaler) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_predict1d(MaxAbsScaler) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1sample(MaxAbsScaler) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1feature(MaxAbsScaler) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1feature(MaxAbsScaler) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1sample(MaxAbsScaler) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_get_params_invariance(MaxAbsScaler) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dict_unchanged(MaxAbsScaler) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dont_overwrite_parameters(MaxAbsScaler) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_no_fit_attributes_set_in_init(MeanShift) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_dtypes(MeanShift) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit_score_takes_y(MeanShift) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dtype_object(MeanShift) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_pandas_series(MeanShift) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_list(MeanShift) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_fit_returns_self(MeanShift) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_empty_data_messages(MeanShift) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_pipeline_consistency(MeanShift) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_nan_inf(MeanShift) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_overwrite_params(MeanShift) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimator_sparse_data(MeanShift) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_pickle(MeanShift) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_clusterer_compute_labels_predict(MeanShift) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_clustering(MeanShift) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_partial_fit_n_features(MeanShift) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_non_transformer_estimators_n_iter(MeanShift) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_predict1d(MeanShift) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1sample(MeanShift) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1feature(MeanShift) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1feature(MeanShift) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1sample(MeanShift) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_get_params_invariance(MeanShift) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dict_unchanged(MeanShift) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dont_overwrite_parameters(MeanShift) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_no_fit_attributes_set_in_init(MinCovDet) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_dtypes(MinCovDet) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit_score_takes_y(MinCovDet) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dtype_object(MinCovDet) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_pandas_series(MinCovDet) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_list(MinCovDet) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_fit_returns_self(MinCovDet) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_empty_data_messages(MinCovDet) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_pipeline_consistency(MinCovDet) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_nan_inf(MinCovDet) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_overwrite_params(MinCovDet) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimator_sparse_data(MinCovDet) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_pickle(MinCovDet) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_predict1d(MinCovDet) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1sample(MinCovDet) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1feature(MinCovDet) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1feature(MinCovDet) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1sample(MinCovDet) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_get_params_invariance(MinCovDet) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dict_unchanged(MinCovDet) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dont_overwrite_parameters(MinCovDet) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_no_fit_attributes_set_in_init(MinMaxScaler) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_dtypes(MinMaxScaler) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit_score_takes_y(MinMaxScaler) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dtype_object(MinMaxScaler) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_pandas_series(MinMaxScaler) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_list(MinMaxScaler) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_fit_returns_self(MinMaxScaler) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_empty_data_messages(MinMaxScaler) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_pipeline_consistency(MinMaxScaler) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_nan_inf(MinMaxScaler) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_overwrite_params(MinMaxScaler) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimator_sparse_data(MinMaxScaler) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_pickle(MinMaxScaler) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformer_data_not_an_array(MinMaxScaler) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformer_general(MinMaxScaler) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformers_unfitted(MinMaxScaler) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformer_n_iter(MinMaxScaler) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_predict1d(MinMaxScaler) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1sample(MinMaxScaler) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1feature(MinMaxScaler) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1feature(MinMaxScaler) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1sample(MinMaxScaler) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_get_params_invariance(MinMaxScaler) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dict_unchanged(MinMaxScaler) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dont_overwrite_parameters(MinMaxScaler) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_no_fit_attributes_set_in_init(MiniBatchDictionaryLearning) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_dtypes(MiniBatchDictionaryLearning) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit_score_takes_y(MiniBatchDictionaryLearning) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dtype_object(MiniBatchDictionaryLearning) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_pandas_series(MiniBatchDictionaryLearning) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_list(MiniBatchDictionaryLearning) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_fit_returns_self(MiniBatchDictionaryLearning) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_empty_data_messages(MiniBatchDictionaryLearning) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_pipeline_consistency(MiniBatchDictionaryLearning) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_nan_inf(MiniBatchDictionaryLearning) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_overwrite_params(MiniBatchDictionaryLearning) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimator_sparse_data(MiniBatchDictionaryLearning) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_pickle(MiniBatchDictionaryLearning) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformer_data_not_an_array(MiniBatchDictionaryLearning) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformer_general(MiniBatchDictionaryLearning) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformers_unfitted(MiniBatchDictionaryLearning) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformer_n_iter(MiniBatchDictionaryLearning) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_predict1d(MiniBatchDictionaryLearning) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1sample(MiniBatchDictionaryLearning) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1feature(MiniBatchDictionaryLearning) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1feature(MiniBatchDictionaryLearning) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1sample(MiniBatchDictionaryLearning) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_get_params_invariance(MiniBatchDictionaryLearning) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dict_unchanged(MiniBatchDictionaryLearning) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dont_overwrite_parameters(MiniBatchDictionaryLearning) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_no_fit_attributes_set_in_init(MiniBatchKMeans) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_dtypes(MiniBatchKMeans) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit_score_takes_y(MiniBatchKMeans) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dtype_object(MiniBatchKMeans) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_pandas_series(MiniBatchKMeans) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_list(MiniBatchKMeans) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_fit_returns_self(MiniBatchKMeans) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_empty_data_messages(MiniBatchKMeans) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_pipeline_consistency(MiniBatchKMeans) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_nan_inf(MiniBatchKMeans) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_overwrite_params(MiniBatchKMeans) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimator_sparse_data(MiniBatchKMeans) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_pickle(MiniBatchKMeans) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformer_data_not_an_array(MiniBatchKMeans) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformer_general(MiniBatchKMeans) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformers_unfitted(MiniBatchKMeans) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformer_n_iter(MiniBatchKMeans) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_clusterer_compute_labels_predict(MiniBatchKMeans) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_clustering(MiniBatchKMeans) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_partial_fit_n_features(MiniBatchKMeans) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_non_transformer_estimators_n_iter(MiniBatchKMeans) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_predict1d(MiniBatchKMeans) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1sample(MiniBatchKMeans) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1feature(MiniBatchKMeans) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1feature(MiniBatchKMeans) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1sample(MiniBatchKMeans) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_get_params_invariance(MiniBatchKMeans) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dict_unchanged(MiniBatchKMeans) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dont_overwrite_parameters(MiniBatchKMeans) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_no_fit_attributes_set_in_init(MiniBatchSparsePCA) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_dtypes(MiniBatchSparsePCA) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit_score_takes_y(MiniBatchSparsePCA) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dtype_object(MiniBatchSparsePCA) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_pandas_series(MiniBatchSparsePCA) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_list(MiniBatchSparsePCA) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_fit_returns_self(MiniBatchSparsePCA) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_empty_data_messages(MiniBatchSparsePCA) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_pipeline_consistency(MiniBatchSparsePCA) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_nan_inf(MiniBatchSparsePCA) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_overwrite_params(MiniBatchSparsePCA) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimator_sparse_data(MiniBatchSparsePCA) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_pickle(MiniBatchSparsePCA) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformer_data_not_an_array(MiniBatchSparsePCA) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformer_general(MiniBatchSparsePCA) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformers_unfitted(MiniBatchSparsePCA) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformer_n_iter(MiniBatchSparsePCA) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_predict1d(MiniBatchSparsePCA) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1sample(MiniBatchSparsePCA) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1feature(MiniBatchSparsePCA) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1feature(MiniBatchSparsePCA) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1sample(MiniBatchSparsePCA) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_get_params_invariance(MiniBatchSparsePCA) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dict_unchanged(MiniBatchSparsePCA) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dont_overwrite_parameters(MiniBatchSparsePCA) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_no_fit_attributes_set_in_init(MultiTaskElasticNet) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_dtypes(MultiTaskElasticNet) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit_score_takes_y(MultiTaskElasticNet) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dtype_object(MultiTaskElasticNet) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_pandas_series(MultiTaskElasticNet) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_list(MultiTaskElasticNet) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_fit_returns_self(MultiTaskElasticNet) ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/coordinate_descent.py:1778: ConvergenceWarning: Objective did not converge, you might want to increase the number of iterations
ConvergenceWarning)
ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_empty_data_messages(MultiTaskElasticNet) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_pipeline_consistency(MultiTaskElasticNet) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_nan_inf(MultiTaskElasticNet) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_overwrite_params(MultiTaskElasticNet) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimator_sparse_data(MultiTaskElasticNet) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_pickle(MultiTaskElasticNet) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressors_train(MultiTaskElasticNet) ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/coordinate_descent.py:1778: ConvergenceWarning: Objective did not converge, you might want to increase the number of iterations
ConvergenceWarning)
ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressor_data_not_an_array(MultiTaskElasticNet) ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/coordinate_descent.py:1778: ConvergenceWarning: Objective did not converge, you might want to increase the number of iterations
ConvergenceWarning)
ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_partial_fit_n_features(MultiTaskElasticNet) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressors_no_decision_function(MultiTaskElasticNet) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_supervised_y_2d(MultiTaskElasticNet) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_supervised_y_no_nan(MultiTaskElasticNet) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressors_int(MultiTaskElasticNet) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_unfitted(MultiTaskElasticNet) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_non_transformer_estimators_n_iter(MultiTaskElasticNet) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_predict1d(MultiTaskElasticNet) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1sample(MultiTaskElasticNet) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1feature(MultiTaskElasticNet) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1feature(MultiTaskElasticNet) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1sample(MultiTaskElasticNet) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_get_params_invariance(MultiTaskElasticNet) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dict_unchanged(MultiTaskElasticNet) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dont_overwrite_parameters(MultiTaskElasticNet) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_no_fit_attributes_set_in_init(MultiTaskElasticNetCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_dtypes(MultiTaskElasticNetCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit_score_takes_y(MultiTaskElasticNetCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dtype_object(MultiTaskElasticNetCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_pandas_series(MultiTaskElasticNetCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_list(MultiTaskElasticNetCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_fit_returns_self(MultiTaskElasticNetCV) ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/coordinate_descent.py:491: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
ConvergenceWarning)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/coordinate_descent.py:1778: ConvergenceWarning: Objective did not converge, you might want to increase the number of iterations
ConvergenceWarning)
ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_empty_data_messages(MultiTaskElasticNetCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_pipeline_consistency(MultiTaskElasticNetCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_nan_inf(MultiTaskElasticNetCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_overwrite_params(MultiTaskElasticNetCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimator_sparse_data(MultiTaskElasticNetCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_pickle(MultiTaskElasticNetCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressors_train(MultiTaskElasticNetCV) ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/coordinate_descent.py:491: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
ConvergenceWarning)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/coordinate_descent.py:1778: ConvergenceWarning: Objective did not converge, you might want to increase the number of iterations
ConvergenceWarning)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/coordinate_descent.py:491: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
ConvergenceWarning)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/coordinate_descent.py:1778: ConvergenceWarning: Objective did not converge, you might want to increase the number of iterations
ConvergenceWarning)
ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressor_data_not_an_array(MultiTaskElasticNetCV) ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/coordinate_descent.py:491: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
ConvergenceWarning)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/coordinate_descent.py:1778: ConvergenceWarning: Objective did not converge, you might want to increase the number of iterations
ConvergenceWarning)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/coordinate_descent.py:491: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
ConvergenceWarning)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/coordinate_descent.py:1778: ConvergenceWarning: Objective did not converge, you might want to increase the number of iterations
ConvergenceWarning)
ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_partial_fit_n_features(MultiTaskElasticNetCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressors_no_decision_function(MultiTaskElasticNetCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_supervised_y_2d(MultiTaskElasticNetCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_supervised_y_no_nan(MultiTaskElasticNetCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressors_int(MultiTaskElasticNetCV) ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/coordinate_descent.py:491: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
ConvergenceWarning)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/coordinate_descent.py:1778: ConvergenceWarning: Objective did not converge, you might want to increase the number of iterations
ConvergenceWarning)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/coordinate_descent.py:491: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
ConvergenceWarning)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/coordinate_descent.py:1778: ConvergenceWarning: Objective did not converge, you might want to increase the number of iterations
ConvergenceWarning)
ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_unfitted(MultiTaskElasticNetCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_non_transformer_estimators_n_iter(MultiTaskElasticNetCV) ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/coordinate_descent.py:491: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
ConvergenceWarning)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/coordinate_descent.py:1778: ConvergenceWarning: Objective did not converge, you might want to increase the number of iterations
ConvergenceWarning)
ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_predict1d(MultiTaskElasticNetCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1sample(MultiTaskElasticNetCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1feature(MultiTaskElasticNetCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1feature(MultiTaskElasticNetCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1sample(MultiTaskElasticNetCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_get_params_invariance(MultiTaskElasticNetCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dict_unchanged(MultiTaskElasticNetCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dont_overwrite_parameters(MultiTaskElasticNetCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_no_fit_attributes_set_in_init(MultiTaskLasso) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_dtypes(MultiTaskLasso) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit_score_takes_y(MultiTaskLasso) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dtype_object(MultiTaskLasso) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_pandas_series(MultiTaskLasso) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_list(MultiTaskLasso) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_fit_returns_self(MultiTaskLasso) ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/coordinate_descent.py:1778: ConvergenceWarning: Objective did not converge, you might want to increase the number of iterations
ConvergenceWarning)
ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_empty_data_messages(MultiTaskLasso) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_pipeline_consistency(MultiTaskLasso) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_nan_inf(MultiTaskLasso) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_overwrite_params(MultiTaskLasso) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimator_sparse_data(MultiTaskLasso) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_pickle(MultiTaskLasso) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressors_train(MultiTaskLasso) ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/coordinate_descent.py:1778: ConvergenceWarning: Objective did not converge, you might want to increase the number of iterations
ConvergenceWarning)
ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressor_data_not_an_array(MultiTaskLasso) ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/coordinate_descent.py:1778: ConvergenceWarning: Objective did not converge, you might want to increase the number of iterations
ConvergenceWarning)
ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_partial_fit_n_features(MultiTaskLasso) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressors_no_decision_function(MultiTaskLasso) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_supervised_y_2d(MultiTaskLasso) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_supervised_y_no_nan(MultiTaskLasso) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressors_int(MultiTaskLasso) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_unfitted(MultiTaskLasso) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_non_transformer_estimators_n_iter(MultiTaskLasso) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_predict1d(MultiTaskLasso) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1sample(MultiTaskLasso) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1feature(MultiTaskLasso) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1feature(MultiTaskLasso) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1sample(MultiTaskLasso) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_get_params_invariance(MultiTaskLasso) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dict_unchanged(MultiTaskLasso) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dont_overwrite_parameters(MultiTaskLasso) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_no_fit_attributes_set_in_init(MultiTaskLassoCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_dtypes(MultiTaskLassoCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit_score_takes_y(MultiTaskLassoCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dtype_object(MultiTaskLassoCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_pandas_series(MultiTaskLassoCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_list(MultiTaskLassoCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_fit_returns_self(MultiTaskLassoCV) ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/coordinate_descent.py:491: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
ConvergenceWarning)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/coordinate_descent.py:1778: ConvergenceWarning: Objective did not converge, you might want to increase the number of iterations
ConvergenceWarning)
ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_empty_data_messages(MultiTaskLassoCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_pipeline_consistency(MultiTaskLassoCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_nan_inf(MultiTaskLassoCV) ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/coordinate_descent.py:491: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
ConvergenceWarning)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/coordinate_descent.py:491: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
ConvergenceWarning)
ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_overwrite_params(MultiTaskLassoCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimator_sparse_data(MultiTaskLassoCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_pickle(MultiTaskLassoCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressors_train(MultiTaskLassoCV) ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/coordinate_descent.py:491: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
ConvergenceWarning)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/coordinate_descent.py:1778: ConvergenceWarning: Objective did not converge, you might want to increase the number of iterations
ConvergenceWarning)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/coordinate_descent.py:491: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
ConvergenceWarning)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/coordinate_descent.py:1778: ConvergenceWarning: Objective did not converge, you might want to increase the number of iterations
ConvergenceWarning)
ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressor_data_not_an_array(MultiTaskLassoCV) ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/coordinate_descent.py:491: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
ConvergenceWarning)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/coordinate_descent.py:1778: ConvergenceWarning: Objective did not converge, you might want to increase the number of iterations
ConvergenceWarning)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/coordinate_descent.py:491: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
ConvergenceWarning)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/coordinate_descent.py:1778: ConvergenceWarning: Objective did not converge, you might want to increase the number of iterations
ConvergenceWarning)
ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_partial_fit_n_features(MultiTaskLassoCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressors_no_decision_function(MultiTaskLassoCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_supervised_y_2d(MultiTaskLassoCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_supervised_y_no_nan(MultiTaskLassoCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressors_int(MultiTaskLassoCV) ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/coordinate_descent.py:491: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
ConvergenceWarning)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/coordinate_descent.py:1778: ConvergenceWarning: Objective did not converge, you might want to increase the number of iterations
ConvergenceWarning)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/coordinate_descent.py:491: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
ConvergenceWarning)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/coordinate_descent.py:1778: ConvergenceWarning: Objective did not converge, you might want to increase the number of iterations
ConvergenceWarning)
ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_unfitted(MultiTaskLassoCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_non_transformer_estimators_n_iter(MultiTaskLassoCV) ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/coordinate_descent.py:491: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Fitting data with very small alpha may cause precision problems.
ConvergenceWarning)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/coordinate_descent.py:1778: ConvergenceWarning: Objective did not converge, you might want to increase the number of iterations
ConvergenceWarning)
ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_predict1d(MultiTaskLassoCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1sample(MultiTaskLassoCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1feature(MultiTaskLassoCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1feature(MultiTaskLassoCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1sample(MultiTaskLassoCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_get_params_invariance(MultiTaskLassoCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dict_unchanged(MultiTaskLassoCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dont_overwrite_parameters(MultiTaskLassoCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_no_fit_attributes_set_in_init(MultinomialNB) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_dtypes(MultinomialNB) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit_score_takes_y(MultinomialNB) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dtype_object(MultinomialNB) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_pandas_series(MultinomialNB) ... SKIP: pandas is not installed: not testing for input of type pandas.Series to class weight.
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_list(MultinomialNB) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_fit_returns_self(MultinomialNB) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_empty_data_messages(MultinomialNB) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_pipeline_consistency(MultinomialNB) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_nan_inf(MultinomialNB) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_overwrite_params(MultinomialNB) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimator_sparse_data(MultinomialNB) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_pickle(MultinomialNB) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_classifier_data_not_an_array(MultinomialNB) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_classifiers_one_label(MultinomialNB) ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/naive_bayes.py:461: RuntimeWarning: divide by zero encountered in log
self.class_log_prior_ = (np.log(self.class_count_) -
ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_classifiers_classes(MultinomialNB) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_partial_fit_n_features(MultinomialNB) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_classifiers_train(MultinomialNB) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_classifiers_regression_target(MultinomialNB) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_unfitted(MultinomialNB) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_non_transformer_estimators_n_iter(MultinomialNB) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_decision_proba_consistency(MultinomialNB) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_predict1d(MultinomialNB) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1sample(MultinomialNB) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1feature(MultinomialNB) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1feature(MultinomialNB) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1sample(MultinomialNB) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_get_params_invariance(MultinomialNB) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dict_unchanged(MultinomialNB) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dont_overwrite_parameters(MultinomialNB) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_no_fit_attributes_set_in_init(NMF) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_dtypes(NMF) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit_score_takes_y(NMF) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dtype_object(NMF) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_pandas_series(NMF) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_list(NMF) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_fit_returns_self(NMF) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_empty_data_messages(NMF) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_pipeline_consistency(NMF) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_nan_inf(NMF) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_overwrite_params(NMF) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimator_sparse_data(NMF) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_pickle(NMF) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformer_data_not_an_array(NMF) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformer_general(NMF) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformers_unfitted(NMF) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformer_n_iter(NMF) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_predict1d(NMF) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1sample(NMF) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1feature(NMF) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1feature(NMF) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1sample(NMF) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_get_params_invariance(NMF) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dict_unchanged(NMF) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dont_overwrite_parameters(NMF) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_no_fit_attributes_set_in_init(NearestCentroid) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_dtypes(NearestCentroid) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit_score_takes_y(NearestCentroid) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dtype_object(NearestCentroid) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_pandas_series(NearestCentroid) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_list(NearestCentroid) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_fit_returns_self(NearestCentroid) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_empty_data_messages(NearestCentroid) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_pipeline_consistency(NearestCentroid) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_nan_inf(NearestCentroid) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_overwrite_params(NearestCentroid) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimator_sparse_data(NearestCentroid) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_pickle(NearestCentroid) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_classifier_data_not_an_array(NearestCentroid) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_classifiers_one_label(NearestCentroid) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_classifiers_classes(NearestCentroid) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_partial_fit_n_features(NearestCentroid) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_classifiers_train(NearestCentroid) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_classifiers_regression_target(NearestCentroid) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_supervised_y_2d(NearestCentroid) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_unfitted(NearestCentroid) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_non_transformer_estimators_n_iter(NearestCentroid) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_decision_proba_consistency(NearestCentroid) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_predict1d(NearestCentroid) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1sample(NearestCentroid) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1feature(NearestCentroid) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1feature(NearestCentroid) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1sample(NearestCentroid) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_get_params_invariance(NearestCentroid) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dict_unchanged(NearestCentroid) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dont_overwrite_parameters(NearestCentroid) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_no_fit_attributes_set_in_init(NearestNeighbors) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_dtypes(NearestNeighbors) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit_score_takes_y(NearestNeighbors) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dtype_object(NearestNeighbors) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_pandas_series(NearestNeighbors) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_list(NearestNeighbors) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_fit_returns_self(NearestNeighbors) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_empty_data_messages(NearestNeighbors) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_pipeline_consistency(NearestNeighbors) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_nan_inf(NearestNeighbors) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_overwrite_params(NearestNeighbors) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimator_sparse_data(NearestNeighbors) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_pickle(NearestNeighbors) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_predict1d(NearestNeighbors) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1sample(NearestNeighbors) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1feature(NearestNeighbors) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1feature(NearestNeighbors) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1sample(NearestNeighbors) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_get_params_invariance(NearestNeighbors) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dict_unchanged(NearestNeighbors) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dont_overwrite_parameters(NearestNeighbors) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_no_fit_attributes_set_in_init(Normalizer) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_dtypes(Normalizer) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit_score_takes_y(Normalizer) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dtype_object(Normalizer) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_pandas_series(Normalizer) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_list(Normalizer) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_fit_returns_self(Normalizer) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_empty_data_messages(Normalizer) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_pipeline_consistency(Normalizer) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_nan_inf(Normalizer) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_overwrite_params(Normalizer) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimator_sparse_data(Normalizer) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_pickle(Normalizer) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformer_n_iter(Normalizer) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_predict1d(Normalizer) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1sample(Normalizer) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1feature(Normalizer) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1feature(Normalizer) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1sample(Normalizer) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_get_params_invariance(Normalizer) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dict_unchanged(Normalizer) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dont_overwrite_parameters(Normalizer) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_no_fit_attributes_set_in_init(NuSVC) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_dtypes(NuSVC) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit_score_takes_y(NuSVC) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dtype_object(NuSVC) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_pandas_series(NuSVC) ... SKIP: pandas is not installed: not testing for input of type pandas.Series to class weight.
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_list(NuSVC) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_fit_returns_self(NuSVC) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_empty_data_messages(NuSVC) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_pipeline_consistency(NuSVC) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_nan_inf(NuSVC) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_overwrite_params(NuSVC) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimator_sparse_data(NuSVC) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_pickle(NuSVC) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_classifier_data_not_an_array(NuSVC) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_classifiers_one_label(NuSVC) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_classifiers_classes(NuSVC) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_partial_fit_n_features(NuSVC) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_classifiers_train(NuSVC) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_classifiers_regression_target(NuSVC) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_supervised_y_2d(NuSVC) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_unfitted(NuSVC) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_class_weight_classifiers(NuSVC) ... SKIP
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_non_transformer_estimators_n_iter(NuSVC) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_decision_proba_consistency(NuSVC) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_predict1d(NuSVC) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1sample(NuSVC) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1feature(NuSVC) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1feature(NuSVC) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1sample(NuSVC) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_get_params_invariance(NuSVC) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dict_unchanged(NuSVC) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dont_overwrite_parameters(NuSVC) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_no_fit_attributes_set_in_init(NuSVR) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_dtypes(NuSVR) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit_score_takes_y(NuSVR) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dtype_object(NuSVR) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_pandas_series(NuSVR) ... SKIP: pandas is not installed: not testing for input of type pandas.Series to class weight.
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_list(NuSVR) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_fit_returns_self(NuSVR) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_empty_data_messages(NuSVR) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_pipeline_consistency(NuSVR) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_nan_inf(NuSVR) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_overwrite_params(NuSVR) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimator_sparse_data(NuSVR) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_pickle(NuSVR) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressors_train(NuSVR) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressor_data_not_an_array(NuSVR) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_partial_fit_n_features(NuSVR) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressors_no_decision_function(NuSVR) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_supervised_y_2d(NuSVR) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_supervised_y_no_nan(NuSVR) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressors_int(NuSVR) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_unfitted(NuSVR) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_non_transformer_estimators_n_iter(NuSVR) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_predict1d(NuSVR) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1sample(NuSVR) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1feature(NuSVR) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1feature(NuSVR) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1sample(NuSVR) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_get_params_invariance(NuSVR) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dict_unchanged(NuSVR) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dont_overwrite_parameters(NuSVR) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_no_fit_attributes_set_in_init(Nystroem) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_dtypes(Nystroem) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit_score_takes_y(Nystroem) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dtype_object(Nystroem) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_pandas_series(Nystroem) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_list(Nystroem) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_fit_returns_self(Nystroem) ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/kernel_approximation.py:470: UserWarning: n_components > n_samples. This is not possible.
n_components was set to n_samples, which results in inefficient evaluation of the full kernel.
warnings.warn("n_components > n_samples. This is not possible.\n"
ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_empty_data_messages(Nystroem) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_pipeline_consistency(Nystroem) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_nan_inf(Nystroem) ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/kernel_approximation.py:470: UserWarning: n_components > n_samples. This is not possible.
n_components was set to n_samples, which results in inefficient evaluation of the full kernel.
warnings.warn("n_components > n_samples. This is not possible.\n"
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/kernel_approximation.py:470: UserWarning: n_components > n_samples. This is not possible.
n_components was set to n_samples, which results in inefficient evaluation of the full kernel.
warnings.warn("n_components > n_samples. This is not possible.\n"
ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_overwrite_params(Nystroem) ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/kernel_approximation.py:470: UserWarning: n_components > n_samples. This is not possible.
n_components was set to n_samples, which results in inefficient evaluation of the full kernel.
warnings.warn("n_components > n_samples. This is not possible.\n"
ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimator_sparse_data(Nystroem) ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/kernel_approximation.py:470: UserWarning: n_components > n_samples. This is not possible.
n_components was set to n_samples, which results in inefficient evaluation of the full kernel.
warnings.warn("n_components > n_samples. This is not possible.\n"
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/kernel_approximation.py:470: UserWarning: n_components > n_samples. This is not possible.
n_components was set to n_samples, which results in inefficient evaluation of the full kernel.
warnings.warn("n_components > n_samples. This is not possible.\n"
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/kernel_approximation.py:470: UserWarning: n_components > n_samples. This is not possible.
n_components was set to n_samples, which results in inefficient evaluation of the full kernel.
warnings.warn("n_components > n_samples. This is not possible.\n"
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/kernel_approximation.py:470: UserWarning: n_components > n_samples. This is not possible.
n_components was set to n_samples, which results in inefficient evaluation of the full kernel.
warnings.warn("n_components > n_samples. This is not possible.\n"
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/kernel_approximation.py:470: UserWarning: n_components > n_samples. This is not possible.
n_components was set to n_samples, which results in inefficient evaluation of the full kernel.
warnings.warn("n_components > n_samples. This is not possible.\n"
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/kernel_approximation.py:470: UserWarning: n_components > n_samples. This is not possible.
n_components was set to n_samples, which results in inefficient evaluation of the full kernel.
warnings.warn("n_components > n_samples. This is not possible.\n"
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/kernel_approximation.py:470: UserWarning: n_components > n_samples. This is not possible.
n_components was set to n_samples, which results in inefficient evaluation of the full kernel.
warnings.warn("n_components > n_samples. This is not possible.\n"
ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_pickle(Nystroem) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformer_data_not_an_array(Nystroem) ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/kernel_approximation.py:470: UserWarning: n_components > n_samples. This is not possible.
n_components was set to n_samples, which results in inefficient evaluation of the full kernel.
warnings.warn("n_components > n_samples. This is not possible.\n"
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/kernel_approximation.py:470: UserWarning: n_components > n_samples. This is not possible.
n_components was set to n_samples, which results in inefficient evaluation of the full kernel.
warnings.warn("n_components > n_samples. This is not possible.\n"
ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformer_general(Nystroem) ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/kernel_approximation.py:470: UserWarning: n_components > n_samples. This is not possible.
n_components was set to n_samples, which results in inefficient evaluation of the full kernel.
warnings.warn("n_components > n_samples. This is not possible.\n"
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/kernel_approximation.py:470: UserWarning: n_components > n_samples. This is not possible.
n_components was set to n_samples, which results in inefficient evaluation of the full kernel.
warnings.warn("n_components > n_samples. This is not possible.\n"
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/kernel_approximation.py:470: UserWarning: n_components > n_samples. This is not possible.
n_components was set to n_samples, which results in inefficient evaluation of the full kernel.
warnings.warn("n_components > n_samples. This is not possible.\n"
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/kernel_approximation.py:470: UserWarning: n_components > n_samples. This is not possible.
n_components was set to n_samples, which results in inefficient evaluation of the full kernel.
warnings.warn("n_components > n_samples. This is not possible.\n"
ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformers_unfitted(Nystroem) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformer_n_iter(Nystroem) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_predict1d(Nystroem) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1sample(Nystroem) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1feature(Nystroem) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1feature(Nystroem) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1sample(Nystroem) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_get_params_invariance(Nystroem) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dict_unchanged(Nystroem) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dont_overwrite_parameters(Nystroem) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_no_fit_attributes_set_in_init(OAS) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_dtypes(OAS) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit_score_takes_y(OAS) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dtype_object(OAS) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_pandas_series(OAS) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_list(OAS) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_fit_returns_self(OAS) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_empty_data_messages(OAS) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_pipeline_consistency(OAS) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_nan_inf(OAS) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_overwrite_params(OAS) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimator_sparse_data(OAS) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_pickle(OAS) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_predict1d(OAS) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1sample(OAS) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1feature(OAS) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1feature(OAS) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1sample(OAS) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_get_params_invariance(OAS) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dict_unchanged(OAS) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dont_overwrite_parameters(OAS) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_no_fit_attributes_set_in_init(OneClassSVM) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_dtypes(OneClassSVM) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit_score_takes_y(OneClassSVM) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dtype_object(OneClassSVM) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_pandas_series(OneClassSVM) ... SKIP: pandas is not installed: not testing for input of type pandas.Series to class weight.
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_list(OneClassSVM) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_fit_returns_self(OneClassSVM) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_empty_data_messages(OneClassSVM) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_pipeline_consistency(OneClassSVM) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_nan_inf(OneClassSVM) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_overwrite_params(OneClassSVM) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimator_sparse_data(OneClassSVM) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_pickle(OneClassSVM) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_predict1d(OneClassSVM) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1sample(OneClassSVM) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1feature(OneClassSVM) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1feature(OneClassSVM) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1sample(OneClassSVM) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_get_params_invariance(OneClassSVM) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dict_unchanged(OneClassSVM) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dont_overwrite_parameters(OneClassSVM) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_no_fit_attributes_set_in_init(OrthogonalMatchingPursuit) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_dtypes(OrthogonalMatchingPursuit) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit_score_takes_y(OrthogonalMatchingPursuit) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dtype_object(OrthogonalMatchingPursuit) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_pandas_series(OrthogonalMatchingPursuit) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_list(OrthogonalMatchingPursuit) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_fit_returns_self(OrthogonalMatchingPursuit) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_empty_data_messages(OrthogonalMatchingPursuit) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_pipeline_consistency(OrthogonalMatchingPursuit) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_nan_inf(OrthogonalMatchingPursuit) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_overwrite_params(OrthogonalMatchingPursuit) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimator_sparse_data(OrthogonalMatchingPursuit) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_pickle(OrthogonalMatchingPursuit) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressors_train(OrthogonalMatchingPursuit) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressor_data_not_an_array(OrthogonalMatchingPursuit) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_partial_fit_n_features(OrthogonalMatchingPursuit) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressors_no_decision_function(OrthogonalMatchingPursuit) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_supervised_y_2d(OrthogonalMatchingPursuit) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_supervised_y_no_nan(OrthogonalMatchingPursuit) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressors_int(OrthogonalMatchingPursuit) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_unfitted(OrthogonalMatchingPursuit) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_non_transformer_estimators_n_iter(OrthogonalMatchingPursuit) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_predict1d(OrthogonalMatchingPursuit) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1sample(OrthogonalMatchingPursuit) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1feature(OrthogonalMatchingPursuit) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1feature(OrthogonalMatchingPursuit) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1sample(OrthogonalMatchingPursuit) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_get_params_invariance(OrthogonalMatchingPursuit) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dict_unchanged(OrthogonalMatchingPursuit) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dont_overwrite_parameters(OrthogonalMatchingPursuit) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_no_fit_attributes_set_in_init(OrthogonalMatchingPursuitCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_dtypes(OrthogonalMatchingPursuitCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit_score_takes_y(OrthogonalMatchingPursuitCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dtype_object(OrthogonalMatchingPursuitCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_pandas_series(OrthogonalMatchingPursuitCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_list(OrthogonalMatchingPursuitCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_fit_returns_self(OrthogonalMatchingPursuitCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_empty_data_messages(OrthogonalMatchingPursuitCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_pipeline_consistency(OrthogonalMatchingPursuitCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_nan_inf(OrthogonalMatchingPursuitCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_overwrite_params(OrthogonalMatchingPursuitCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimator_sparse_data(OrthogonalMatchingPursuitCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_pickle(OrthogonalMatchingPursuitCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressors_train(OrthogonalMatchingPursuitCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressor_data_not_an_array(OrthogonalMatchingPursuitCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_partial_fit_n_features(OrthogonalMatchingPursuitCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressors_no_decision_function(OrthogonalMatchingPursuitCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_supervised_y_2d(OrthogonalMatchingPursuitCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_supervised_y_no_nan(OrthogonalMatchingPursuitCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressors_int(OrthogonalMatchingPursuitCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_unfitted(OrthogonalMatchingPursuitCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_non_transformer_estimators_n_iter(OrthogonalMatchingPursuitCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_predict1d(OrthogonalMatchingPursuitCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1sample(OrthogonalMatchingPursuitCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1feature(OrthogonalMatchingPursuitCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1feature(OrthogonalMatchingPursuitCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1sample(OrthogonalMatchingPursuitCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_get_params_invariance(OrthogonalMatchingPursuitCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dict_unchanged(OrthogonalMatchingPursuitCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dont_overwrite_parameters(OrthogonalMatchingPursuitCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_no_fit_attributes_set_in_init(PCA) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_dtypes(PCA) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit_score_takes_y(PCA) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dtype_object(PCA) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_pandas_series(PCA) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_list(PCA) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_fit_returns_self(PCA) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_empty_data_messages(PCA) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_pipeline_consistency(PCA) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_nan_inf(PCA) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_overwrite_params(PCA) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimator_sparse_data(PCA) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_pickle(PCA) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformer_data_not_an_array(PCA) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformer_general(PCA) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformers_unfitted(PCA) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformer_n_iter(PCA) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_predict1d(PCA) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1sample(PCA) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1feature(PCA) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1feature(PCA) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1sample(PCA) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_get_params_invariance(PCA) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dict_unchanged(PCA) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dont_overwrite_parameters(PCA) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_no_fit_attributes_set_in_init(PLSCanonical) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_dtypes(PLSCanonical) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit_score_takes_y(PLSCanonical) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dtype_object(PLSCanonical) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_pandas_series(PLSCanonical) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_list(PLSCanonical) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_fit_returns_self(PLSCanonical) ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cross_decomposition/pls_.py:287: UserWarning: Y residual constant at iteration 1
warnings.warn('Y residual constant at iteration %s' % k)
ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_empty_data_messages(PLSCanonical) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_nan_inf(PLSCanonical) ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cross_decomposition/pls_.py:287: UserWarning: Y residual constant at iteration 1
warnings.warn('Y residual constant at iteration %s' % k)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cross_decomposition/pls_.py:287: UserWarning: Y residual constant at iteration 1
warnings.warn('Y residual constant at iteration %s' % k)
ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_overwrite_params(PLSCanonical) ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cross_decomposition/pls_.py:287: UserWarning: Y residual constant at iteration 1
warnings.warn('Y residual constant at iteration %s' % k)
ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimator_sparse_data(PLSCanonical) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_pickle(PLSCanonical) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressors_train(PLSCanonical) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressor_data_not_an_array(PLSCanonical) ... SKIP
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_partial_fit_n_features(PLSCanonical) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressors_no_decision_function(PLSCanonical) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_supervised_y_2d(PLSCanonical) ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cross_decomposition/pls_.py:287: UserWarning: Y residual constant at iteration 1
warnings.warn('Y residual constant at iteration %s' % k)
ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_supervised_y_no_nan(PLSCanonical) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressors_int(PLSCanonical) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_unfitted(PLSCanonical) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_non_transformer_estimators_n_iter(PLSCanonical) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformer_general(PLSCanonical) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformers_unfitted(PLSCanonical) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformer_n_iter(PLSCanonical) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_predict1d(PLSCanonical) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1sample(PLSCanonical) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1feature(PLSCanonical) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1feature(PLSCanonical) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1sample(PLSCanonical) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_get_params_invariance(PLSCanonical) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dict_unchanged(PLSCanonical) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dont_overwrite_parameters(PLSCanonical) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_no_fit_attributes_set_in_init(PLSRegression) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_dtypes(PLSRegression) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit_score_takes_y(PLSRegression) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dtype_object(PLSRegression) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_pandas_series(PLSRegression) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_list(PLSRegression) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_fit_returns_self(PLSRegression) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_empty_data_messages(PLSRegression) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_nan_inf(PLSRegression) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_overwrite_params(PLSRegression) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimator_sparse_data(PLSRegression) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_pickle(PLSRegression) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressors_train(PLSRegression) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressor_data_not_an_array(PLSRegression) ... SKIP
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_partial_fit_n_features(PLSRegression) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressors_no_decision_function(PLSRegression) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_supervised_y_2d(PLSRegression) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_supervised_y_no_nan(PLSRegression) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressors_int(PLSRegression) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_unfitted(PLSRegression) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_non_transformer_estimators_n_iter(PLSRegression) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformer_general(PLSRegression) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformers_unfitted(PLSRegression) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformer_n_iter(PLSRegression) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_predict1d(PLSRegression) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1sample(PLSRegression) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1feature(PLSRegression) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1feature(PLSRegression) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1sample(PLSRegression) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_get_params_invariance(PLSRegression) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dict_unchanged(PLSRegression) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dont_overwrite_parameters(PLSRegression) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_no_fit_attributes_set_in_init(PLSSVD) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_dtypes(PLSSVD) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit_score_takes_y(PLSSVD) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dtype_object(PLSSVD) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_pandas_series(PLSSVD) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_list(PLSSVD) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_fit_returns_self(PLSSVD) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_empty_data_messages(PLSSVD) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_nan_inf(PLSSVD) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_overwrite_params(PLSSVD) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimator_sparse_data(PLSSVD) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_pickle(PLSSVD) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformer_general(PLSSVD) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformers_unfitted(PLSSVD) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformer_n_iter(PLSSVD) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_predict1d(PLSSVD) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1sample(PLSSVD) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1feature(PLSSVD) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1feature(PLSSVD) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1sample(PLSSVD) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_get_params_invariance(PLSSVD) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dict_unchanged(PLSSVD) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dont_overwrite_parameters(PLSSVD) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_no_fit_attributes_set_in_init(PassiveAggressiveClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_dtypes(PassiveAggressiveClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit_score_takes_y(PassiveAggressiveClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dtype_object(PassiveAggressiveClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_pandas_series(PassiveAggressiveClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_list(PassiveAggressiveClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_fit_returns_self(PassiveAggressiveClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_empty_data_messages(PassiveAggressiveClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_pipeline_consistency(PassiveAggressiveClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_nan_inf(PassiveAggressiveClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_overwrite_params(PassiveAggressiveClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sparsify_coefficients(PassiveAggressiveClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimator_sparse_data(PassiveAggressiveClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_pickle(PassiveAggressiveClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_classifier_data_not_an_array(PassiveAggressiveClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_classifiers_one_label(PassiveAggressiveClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_classifiers_classes(PassiveAggressiveClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_partial_fit_n_features(PassiveAggressiveClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_classifiers_train(PassiveAggressiveClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_classifiers_regression_target(PassiveAggressiveClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_supervised_y_2d(PassiveAggressiveClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_unfitted(PassiveAggressiveClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_class_weight_classifiers(PassiveAggressiveClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_non_transformer_estimators_n_iter(PassiveAggressiveClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_decision_proba_consistency(PassiveAggressiveClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_predict1d(PassiveAggressiveClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1sample(PassiveAggressiveClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1feature(PassiveAggressiveClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1feature(PassiveAggressiveClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1sample(PassiveAggressiveClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_get_params_invariance(PassiveAggressiveClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dict_unchanged(PassiveAggressiveClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dont_overwrite_parameters(PassiveAggressiveClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_no_fit_attributes_set_in_init(PassiveAggressiveRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_dtypes(PassiveAggressiveRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit_score_takes_y(PassiveAggressiveRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dtype_object(PassiveAggressiveRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_pandas_series(PassiveAggressiveRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_list(PassiveAggressiveRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_fit_returns_self(PassiveAggressiveRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_empty_data_messages(PassiveAggressiveRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_pipeline_consistency(PassiveAggressiveRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_nan_inf(PassiveAggressiveRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_overwrite_params(PassiveAggressiveRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sparsify_coefficients(PassiveAggressiveRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimator_sparse_data(PassiveAggressiveRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_pickle(PassiveAggressiveRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressors_train(PassiveAggressiveRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressor_data_not_an_array(PassiveAggressiveRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_partial_fit_n_features(PassiveAggressiveRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressors_no_decision_function(PassiveAggressiveRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_supervised_y_2d(PassiveAggressiveRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_supervised_y_no_nan(PassiveAggressiveRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressors_int(PassiveAggressiveRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_unfitted(PassiveAggressiveRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_non_transformer_estimators_n_iter(PassiveAggressiveRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_predict1d(PassiveAggressiveRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1sample(PassiveAggressiveRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1feature(PassiveAggressiveRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1feature(PassiveAggressiveRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1sample(PassiveAggressiveRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_get_params_invariance(PassiveAggressiveRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dict_unchanged(PassiveAggressiveRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dont_overwrite_parameters(PassiveAggressiveRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_no_fit_attributes_set_in_init(Perceptron) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_dtypes(Perceptron) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit_score_takes_y(Perceptron) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dtype_object(Perceptron) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_pandas_series(Perceptron) ... SKIP: pandas is not installed: not testing for input of type pandas.Series to class weight.
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_list(Perceptron) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_fit_returns_self(Perceptron) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_empty_data_messages(Perceptron) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_pipeline_consistency(Perceptron) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_nan_inf(Perceptron) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_overwrite_params(Perceptron) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sparsify_coefficients(Perceptron) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimator_sparse_data(Perceptron) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_pickle(Perceptron) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_classifier_data_not_an_array(Perceptron) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_classifiers_one_label(Perceptron) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_classifiers_classes(Perceptron) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_partial_fit_n_features(Perceptron) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_classifiers_train(Perceptron) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_classifiers_regression_target(Perceptron) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_supervised_y_2d(Perceptron) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_unfitted(Perceptron) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_class_weight_classifiers(Perceptron) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_non_transformer_estimators_n_iter(Perceptron) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_decision_proba_consistency(Perceptron) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_predict1d(Perceptron) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1sample(Perceptron) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1feature(Perceptron) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1feature(Perceptron) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1sample(Perceptron) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_get_params_invariance(Perceptron) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dict_unchanged(Perceptron) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dont_overwrite_parameters(Perceptron) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_no_fit_attributes_set_in_init(QuadraticDiscriminantAnalysis) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_dtypes(QuadraticDiscriminantAnalysis) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit_score_takes_y(QuadraticDiscriminantAnalysis) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dtype_object(QuadraticDiscriminantAnalysis) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_pandas_series(QuadraticDiscriminantAnalysis) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_list(QuadraticDiscriminantAnalysis) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_fit_returns_self(QuadraticDiscriminantAnalysis) ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/discriminant_analysis.py:682: UserWarning: Variables are collinear
warnings.warn("Variables are collinear")
ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_empty_data_messages(QuadraticDiscriminantAnalysis) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_pipeline_consistency(QuadraticDiscriminantAnalysis) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_nan_inf(QuadraticDiscriminantAnalysis) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_overwrite_params(QuadraticDiscriminantAnalysis) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimator_sparse_data(QuadraticDiscriminantAnalysis) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_pickle(QuadraticDiscriminantAnalysis) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_classifier_data_not_an_array(QuadraticDiscriminantAnalysis) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_classifiers_one_label(QuadraticDiscriminantAnalysis) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_classifiers_classes(QuadraticDiscriminantAnalysis) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_partial_fit_n_features(QuadraticDiscriminantAnalysis) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_classifiers_train(QuadraticDiscriminantAnalysis) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_classifiers_regression_target(QuadraticDiscriminantAnalysis) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_supervised_y_2d(QuadraticDiscriminantAnalysis) ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/discriminant_analysis.py:682: UserWarning: Variables are collinear
warnings.warn("Variables are collinear")
ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_unfitted(QuadraticDiscriminantAnalysis) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_non_transformer_estimators_n_iter(QuadraticDiscriminantAnalysis) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_decision_proba_consistency(QuadraticDiscriminantAnalysis) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_predict1d(QuadraticDiscriminantAnalysis) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1sample(QuadraticDiscriminantAnalysis) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1feature(QuadraticDiscriminantAnalysis) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1feature(QuadraticDiscriminantAnalysis) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1sample(QuadraticDiscriminantAnalysis) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_get_params_invariance(QuadraticDiscriminantAnalysis) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dict_unchanged(QuadraticDiscriminantAnalysis) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dont_overwrite_parameters(QuadraticDiscriminantAnalysis) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_no_fit_attributes_set_in_init(QuantileTransformer) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_dtypes(QuantileTransformer) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit_score_takes_y(QuantileTransformer) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dtype_object(QuantileTransformer) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_pandas_series(QuantileTransformer) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_list(QuantileTransformer) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_fit_returns_self(QuantileTransformer) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_empty_data_messages(QuantileTransformer) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_pipeline_consistency(QuantileTransformer) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_nan_inf(QuantileTransformer) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_overwrite_params(QuantileTransformer) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimator_sparse_data(QuantileTransformer) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_pickle(QuantileTransformer) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformer_data_not_an_array(QuantileTransformer) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformer_general(QuantileTransformer) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformers_unfitted(QuantileTransformer) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformer_n_iter(QuantileTransformer) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_predict1d(QuantileTransformer) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1sample(QuantileTransformer) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1feature(QuantileTransformer) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1feature(QuantileTransformer) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1sample(QuantileTransformer) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_get_params_invariance(QuantileTransformer) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dict_unchanged(QuantileTransformer) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dont_overwrite_parameters(QuantileTransformer) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_no_fit_attributes_set_in_init(RANSACRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_dtypes(RANSACRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit_score_takes_y(RANSACRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dtype_object(RANSACRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_pandas_series(RANSACRegressor) ... SKIP: pandas is not installed: not testing for input of type pandas.Series to class weight.
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_list(RANSACRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_fit_returns_self(RANSACRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_empty_data_messages(RANSACRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_pipeline_consistency(RANSACRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_nan_inf(RANSACRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_overwrite_params(RANSACRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimator_sparse_data(RANSACRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_pickle(RANSACRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressors_train(RANSACRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressor_data_not_an_array(RANSACRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_partial_fit_n_features(RANSACRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressors_no_decision_function(RANSACRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_supervised_y_2d(RANSACRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_supervised_y_no_nan(RANSACRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressors_int(RANSACRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_unfitted(RANSACRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_non_transformer_estimators_n_iter(RANSACRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_predict1d(RANSACRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1sample(RANSACRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1feature(RANSACRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1feature(RANSACRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1sample(RANSACRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_get_params_invariance(RANSACRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dict_unchanged(RANSACRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dont_overwrite_parameters(RANSACRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_no_fit_attributes_set_in_init(RBFSampler) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_dtypes(RBFSampler) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit_score_takes_y(RBFSampler) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dtype_object(RBFSampler) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_pandas_series(RBFSampler) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_list(RBFSampler) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_fit_returns_self(RBFSampler) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_empty_data_messages(RBFSampler) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_pipeline_consistency(RBFSampler) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_nan_inf(RBFSampler) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_overwrite_params(RBFSampler) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimator_sparse_data(RBFSampler) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_pickle(RBFSampler) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformer_data_not_an_array(RBFSampler) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformer_general(RBFSampler) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformers_unfitted(RBFSampler) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformer_n_iter(RBFSampler) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_predict1d(RBFSampler) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1sample(RBFSampler) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1feature(RBFSampler) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1feature(RBFSampler) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1sample(RBFSampler) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_get_params_invariance(RBFSampler) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dict_unchanged(RBFSampler) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dont_overwrite_parameters(RBFSampler) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_no_fit_attributes_set_in_init(RadiusNeighborsClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_dtypes(RadiusNeighborsClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit_score_takes_y(RadiusNeighborsClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dtype_object(RadiusNeighborsClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_pandas_series(RadiusNeighborsClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_list(RadiusNeighborsClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_fit_returns_self(RadiusNeighborsClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_empty_data_messages(RadiusNeighborsClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_pipeline_consistency(RadiusNeighborsClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_nan_inf(RadiusNeighborsClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_overwrite_params(RadiusNeighborsClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimator_sparse_data(RadiusNeighborsClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_pickle(RadiusNeighborsClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_classifier_data_not_an_array(RadiusNeighborsClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_classifiers_one_label(RadiusNeighborsClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_classifiers_classes(RadiusNeighborsClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_partial_fit_n_features(RadiusNeighborsClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_classifiers_train(RadiusNeighborsClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_classifiers_regression_target(RadiusNeighborsClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_supervised_y_2d(RadiusNeighborsClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_unfitted(RadiusNeighborsClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_non_transformer_estimators_n_iter(RadiusNeighborsClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_decision_proba_consistency(RadiusNeighborsClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_predict1d(RadiusNeighborsClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1sample(RadiusNeighborsClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1feature(RadiusNeighborsClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1feature(RadiusNeighborsClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1sample(RadiusNeighborsClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_get_params_invariance(RadiusNeighborsClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dict_unchanged(RadiusNeighborsClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dont_overwrite_parameters(RadiusNeighborsClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_no_fit_attributes_set_in_init(RadiusNeighborsRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_dtypes(RadiusNeighborsRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit_score_takes_y(RadiusNeighborsRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dtype_object(RadiusNeighborsRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_pandas_series(RadiusNeighborsRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_list(RadiusNeighborsRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_fit_returns_self(RadiusNeighborsRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_empty_data_messages(RadiusNeighborsRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_pipeline_consistency(RadiusNeighborsRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_nan_inf(RadiusNeighborsRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_overwrite_params(RadiusNeighborsRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimator_sparse_data(RadiusNeighborsRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_pickle(RadiusNeighborsRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressors_train(RadiusNeighborsRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressor_data_not_an_array(RadiusNeighborsRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_partial_fit_n_features(RadiusNeighborsRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressors_no_decision_function(RadiusNeighborsRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_supervised_y_2d(RadiusNeighborsRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_supervised_y_no_nan(RadiusNeighborsRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressors_int(RadiusNeighborsRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_unfitted(RadiusNeighborsRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_non_transformer_estimators_n_iter(RadiusNeighborsRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_predict1d(RadiusNeighborsRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1sample(RadiusNeighborsRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1feature(RadiusNeighborsRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1feature(RadiusNeighborsRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1sample(RadiusNeighborsRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_get_params_invariance(RadiusNeighborsRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dict_unchanged(RadiusNeighborsRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dont_overwrite_parameters(RadiusNeighborsRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_no_fit_attributes_set_in_init(RandomForestClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_dtypes(RandomForestClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit_score_takes_y(RandomForestClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dtype_object(RandomForestClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_pandas_series(RandomForestClassifier) ... SKIP: pandas is not installed: not testing for input of type pandas.Series to class weight.
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_list(RandomForestClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_fit_returns_self(RandomForestClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_empty_data_messages(RandomForestClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_pipeline_consistency(RandomForestClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_nan_inf(RandomForestClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_overwrite_params(RandomForestClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimator_sparse_data(RandomForestClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_pickle(RandomForestClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_classifier_data_not_an_array(RandomForestClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_classifiers_one_label(RandomForestClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_classifiers_classes(RandomForestClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_partial_fit_n_features(RandomForestClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_classifiers_train(RandomForestClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_classifiers_regression_target(RandomForestClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_supervised_y_2d(RandomForestClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_unfitted(RandomForestClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_class_weight_classifiers(RandomForestClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_non_transformer_estimators_n_iter(RandomForestClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_decision_proba_consistency(RandomForestClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_predict1d(RandomForestClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1sample(RandomForestClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1feature(RandomForestClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1feature(RandomForestClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1sample(RandomForestClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_get_params_invariance(RandomForestClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dict_unchanged(RandomForestClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dont_overwrite_parameters(RandomForestClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_no_fit_attributes_set_in_init(RandomForestRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_dtypes(RandomForestRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit_score_takes_y(RandomForestRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dtype_object(RandomForestRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_pandas_series(RandomForestRegressor) ... SKIP: pandas is not installed: not testing for input of type pandas.Series to class weight.
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_list(RandomForestRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_fit_returns_self(RandomForestRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_empty_data_messages(RandomForestRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_pipeline_consistency(RandomForestRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_nan_inf(RandomForestRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_overwrite_params(RandomForestRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimator_sparse_data(RandomForestRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_pickle(RandomForestRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressors_train(RandomForestRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressor_data_not_an_array(RandomForestRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_partial_fit_n_features(RandomForestRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressors_no_decision_function(RandomForestRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_supervised_y_2d(RandomForestRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_supervised_y_no_nan(RandomForestRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressors_int(RandomForestRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_unfitted(RandomForestRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_non_transformer_estimators_n_iter(RandomForestRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_predict1d(RandomForestRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1sample(RandomForestRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1feature(RandomForestRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1feature(RandomForestRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1sample(RandomForestRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_get_params_invariance(RandomForestRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dict_unchanged(RandomForestRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dont_overwrite_parameters(RandomForestRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/deprecation.py:58: DeprecationWarning: Class RandomizedLasso is deprecated; The class RandomizedLasso is deprecated in 0.19 and will be removed in 0.21.
warnings.warn(msg, category=DeprecationWarning)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_no_fit_attributes_set_in_init(RandomizedLasso) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_dtypes(RandomizedLasso) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit_score_takes_y(RandomizedLasso) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dtype_object(RandomizedLasso) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_pandas_series(RandomizedLasso) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_list(RandomizedLasso) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_fit_returns_self(RandomizedLasso) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_empty_data_messages(RandomizedLasso) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_pipeline_consistency(RandomizedLasso) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_nan_inf(RandomizedLasso) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_overwrite_params(RandomizedLasso) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimator_sparse_data(RandomizedLasso) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_pickle(RandomizedLasso) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformer_data_not_an_array(RandomizedLasso) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformer_general(RandomizedLasso) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformers_unfitted(RandomizedLasso) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_predict1d(RandomizedLasso) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1sample(RandomizedLasso) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1feature(RandomizedLasso) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1feature(RandomizedLasso) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1sample(RandomizedLasso) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_get_params_invariance(RandomizedLasso) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dict_unchanged(RandomizedLasso) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dont_overwrite_parameters(RandomizedLasso) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/deprecation.py:58: DeprecationWarning: Class RandomizedLogisticRegression is deprecated; The class RandomizedLogisticRegression is deprecated in 0.19 and will be removed in 0.21.
warnings.warn(msg, category=DeprecationWarning)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_no_fit_attributes_set_in_init(RandomizedLogisticRegression) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_dtypes(RandomizedLogisticRegression) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit_score_takes_y(RandomizedLogisticRegression) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dtype_object(RandomizedLogisticRegression) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_pandas_series(RandomizedLogisticRegression) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_list(RandomizedLogisticRegression) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_fit_returns_self(RandomizedLogisticRegression) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_empty_data_messages(RandomizedLogisticRegression) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_pipeline_consistency(RandomizedLogisticRegression) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_nan_inf(RandomizedLogisticRegression) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_overwrite_params(RandomizedLogisticRegression) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimator_sparse_data(RandomizedLogisticRegression) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_pickle(RandomizedLogisticRegression) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformer_data_not_an_array(RandomizedLogisticRegression) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformer_general(RandomizedLogisticRegression) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformers_unfitted(RandomizedLogisticRegression) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformer_n_iter(RandomizedLogisticRegression) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_predict1d(RandomizedLogisticRegression) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1sample(RandomizedLogisticRegression) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1feature(RandomizedLogisticRegression) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1feature(RandomizedLogisticRegression) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1sample(RandomizedLogisticRegression) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_get_params_invariance(RandomizedLogisticRegression) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dict_unchanged(RandomizedLogisticRegression) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dont_overwrite_parameters(RandomizedLogisticRegression) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/deprecation.py:58: DeprecationWarning: Class RandomizedPCA is deprecated; RandomizedPCA was deprecated in 0.18 and will be removed in 0.20. Use PCA(svd_solver='randomized') instead. The new implementation DOES NOT store whiten ``components_``. Apply transform to get them.
warnings.warn(msg, category=DeprecationWarning)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_no_fit_attributes_set_in_init(RandomizedPCA) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_dtypes(RandomizedPCA) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit_score_takes_y(RandomizedPCA) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dtype_object(RandomizedPCA) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_pandas_series(RandomizedPCA) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_list(RandomizedPCA) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_fit_returns_self(RandomizedPCA) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_empty_data_messages(RandomizedPCA) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_pipeline_consistency(RandomizedPCA) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_nan_inf(RandomizedPCA) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_overwrite_params(RandomizedPCA) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimator_sparse_data(RandomizedPCA) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_pickle(RandomizedPCA) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformer_data_not_an_array(RandomizedPCA) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformer_general(RandomizedPCA) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformers_unfitted(RandomizedPCA) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformer_n_iter(RandomizedPCA) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_predict1d(RandomizedPCA) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1sample(RandomizedPCA) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1feature(RandomizedPCA) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1feature(RandomizedPCA) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1sample(RandomizedPCA) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_get_params_invariance(RandomizedPCA) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dict_unchanged(RandomizedPCA) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dont_overwrite_parameters(RandomizedPCA) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_no_fit_attributes_set_in_init(Ridge) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_dtypes(Ridge) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit_score_takes_y(Ridge) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dtype_object(Ridge) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_pandas_series(Ridge) ... SKIP: pandas is not installed: not testing for input of type pandas.Series to class weight.
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_list(Ridge) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_fit_returns_self(Ridge) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_empty_data_messages(Ridge) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_pipeline_consistency(Ridge) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_nan_inf(Ridge) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_overwrite_params(Ridge) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimator_sparse_data(Ridge) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_pickle(Ridge) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressors_train(Ridge) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressor_data_not_an_array(Ridge) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_partial_fit_n_features(Ridge) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressors_no_decision_function(Ridge) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_supervised_y_2d(Ridge) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_supervised_y_no_nan(Ridge) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressors_int(Ridge) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_unfitted(Ridge) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_non_transformer_estimators_n_iter(Ridge) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_predict1d(Ridge) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1sample(Ridge) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1feature(Ridge) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1feature(Ridge) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1sample(Ridge) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_get_params_invariance(Ridge) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dict_unchanged(Ridge) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dont_overwrite_parameters(Ridge) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_no_fit_attributes_set_in_init(RidgeCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_dtypes(RidgeCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit_score_takes_y(RidgeCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dtype_object(RidgeCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_pandas_series(RidgeCV) ... SKIP: pandas is not installed: not testing for input of type pandas.Series to class weight.
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_list(RidgeCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_fit_returns_self(RidgeCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_empty_data_messages(RidgeCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_pipeline_consistency(RidgeCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_nan_inf(RidgeCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_overwrite_params(RidgeCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimator_sparse_data(RidgeCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_pickle(RidgeCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressors_train(RidgeCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressor_data_not_an_array(RidgeCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_partial_fit_n_features(RidgeCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressors_no_decision_function(RidgeCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_supervised_y_2d(RidgeCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_supervised_y_no_nan(RidgeCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressors_int(RidgeCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_unfitted(RidgeCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_non_transformer_estimators_n_iter(RidgeCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_predict1d(RidgeCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1sample(RidgeCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1feature(RidgeCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1feature(RidgeCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1sample(RidgeCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_get_params_invariance(RidgeCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dict_unchanged(RidgeCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dont_overwrite_parameters(RidgeCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_no_fit_attributes_set_in_init(RidgeClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_dtypes(RidgeClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit_score_takes_y(RidgeClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dtype_object(RidgeClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_pandas_series(RidgeClassifier) ... SKIP: pandas is not installed: not testing for input of type pandas.Series to class weight.
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_list(RidgeClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_fit_returns_self(RidgeClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_empty_data_messages(RidgeClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_pipeline_consistency(RidgeClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_nan_inf(RidgeClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_overwrite_params(RidgeClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimator_sparse_data(RidgeClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_pickle(RidgeClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_classifier_data_not_an_array(RidgeClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_classifiers_one_label(RidgeClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_classifiers_classes(RidgeClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_partial_fit_n_features(RidgeClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_classifiers_train(RidgeClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_classifiers_regression_target(RidgeClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_supervised_y_2d(RidgeClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_unfitted(RidgeClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_class_weight_classifiers(RidgeClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_non_transformer_estimators_n_iter(RidgeClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_decision_proba_consistency(RidgeClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_predict1d(RidgeClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1sample(RidgeClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1feature(RidgeClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1feature(RidgeClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1sample(RidgeClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_get_params_invariance(RidgeClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dict_unchanged(RidgeClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dont_overwrite_parameters(RidgeClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_no_fit_attributes_set_in_init(RidgeClassifierCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_dtypes(RidgeClassifierCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit_score_takes_y(RidgeClassifierCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dtype_object(RidgeClassifierCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_pandas_series(RidgeClassifierCV) ... SKIP: pandas is not installed: not testing for input of type pandas.Series to class weight.
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_list(RidgeClassifierCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_fit_returns_self(RidgeClassifierCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_empty_data_messages(RidgeClassifierCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_pipeline_consistency(RidgeClassifierCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_nan_inf(RidgeClassifierCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_overwrite_params(RidgeClassifierCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimator_sparse_data(RidgeClassifierCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_pickle(RidgeClassifierCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_classifier_data_not_an_array(RidgeClassifierCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_classifiers_one_label(RidgeClassifierCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_classifiers_classes(RidgeClassifierCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_partial_fit_n_features(RidgeClassifierCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_classifiers_train(RidgeClassifierCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_classifiers_regression_target(RidgeClassifierCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_supervised_y_2d(RidgeClassifierCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_unfitted(RidgeClassifierCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_class_weight_classifiers(RidgeClassifierCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_non_transformer_estimators_n_iter(RidgeClassifierCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_decision_proba_consistency(RidgeClassifierCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_predict1d(RidgeClassifierCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1sample(RidgeClassifierCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1feature(RidgeClassifierCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1feature(RidgeClassifierCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1sample(RidgeClassifierCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_get_params_invariance(RidgeClassifierCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dict_unchanged(RidgeClassifierCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dont_overwrite_parameters(RidgeClassifierCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_no_fit_attributes_set_in_init(RobustScaler) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_dtypes(RobustScaler) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit_score_takes_y(RobustScaler) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dtype_object(RobustScaler) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_pandas_series(RobustScaler) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_list(RobustScaler) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_fit_returns_self(RobustScaler) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_empty_data_messages(RobustScaler) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_pipeline_consistency(RobustScaler) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_nan_inf(RobustScaler) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_overwrite_params(RobustScaler) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimator_sparse_data(RobustScaler) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_pickle(RobustScaler) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformer_data_not_an_array(RobustScaler) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformer_general(RobustScaler) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformers_unfitted(RobustScaler) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformer_n_iter(RobustScaler) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_predict1d(RobustScaler) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1sample(RobustScaler) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1feature(RobustScaler) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1feature(RobustScaler) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1sample(RobustScaler) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_get_params_invariance(RobustScaler) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dict_unchanged(RobustScaler) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dont_overwrite_parameters(RobustScaler) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_no_fit_attributes_set_in_init(SGDClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_dtypes(SGDClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit_score_takes_y(SGDClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dtype_object(SGDClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_pandas_series(SGDClassifier) ... SKIP: pandas is not installed: not testing for input of type pandas.Series to class weight.
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_list(SGDClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_fit_returns_self(SGDClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_empty_data_messages(SGDClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_pipeline_consistency(SGDClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_nan_inf(SGDClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_overwrite_params(SGDClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sparsify_coefficients(SGDClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimator_sparse_data(SGDClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_pickle(SGDClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_classifier_data_not_an_array(SGDClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_classifiers_one_label(SGDClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_classifiers_classes(SGDClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_partial_fit_n_features(SGDClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_classifiers_train(SGDClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_classifiers_regression_target(SGDClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_supervised_y_2d(SGDClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_unfitted(SGDClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_class_weight_classifiers(SGDClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_non_transformer_estimators_n_iter(SGDClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_decision_proba_consistency(SGDClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_predict1d(SGDClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1sample(SGDClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1feature(SGDClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1feature(SGDClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1sample(SGDClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_get_params_invariance(SGDClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dict_unchanged(SGDClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dont_overwrite_parameters(SGDClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_no_fit_attributes_set_in_init(SGDRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_dtypes(SGDRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit_score_takes_y(SGDRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dtype_object(SGDRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_pandas_series(SGDRegressor) ... SKIP: pandas is not installed: not testing for input of type pandas.Series to class weight.
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_list(SGDRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_fit_returns_self(SGDRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_empty_data_messages(SGDRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_pipeline_consistency(SGDRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_nan_inf(SGDRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_overwrite_params(SGDRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sparsify_coefficients(SGDRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimator_sparse_data(SGDRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_pickle(SGDRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressors_train(SGDRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressor_data_not_an_array(SGDRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_partial_fit_n_features(SGDRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressors_no_decision_function(SGDRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_supervised_y_2d(SGDRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_supervised_y_no_nan(SGDRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressors_int(SGDRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_unfitted(SGDRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_non_transformer_estimators_n_iter(SGDRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_predict1d(SGDRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1sample(SGDRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1feature(SGDRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1feature(SGDRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1sample(SGDRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_get_params_invariance(SGDRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dict_unchanged(SGDRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dont_overwrite_parameters(SGDRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_no_fit_attributes_set_in_init(SVC) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_dtypes(SVC) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit_score_takes_y(SVC) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dtype_object(SVC) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_pandas_series(SVC) ... SKIP: pandas is not installed: not testing for input of type pandas.Series to class weight.
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_list(SVC) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_fit_returns_self(SVC) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_empty_data_messages(SVC) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_pipeline_consistency(SVC) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_nan_inf(SVC) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_overwrite_params(SVC) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimator_sparse_data(SVC) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_pickle(SVC) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_classifier_data_not_an_array(SVC) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_classifiers_one_label(SVC) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_classifiers_classes(SVC) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_partial_fit_n_features(SVC) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_classifiers_train(SVC) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_classifiers_regression_target(SVC) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_supervised_y_2d(SVC) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_unfitted(SVC) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_class_weight_classifiers(SVC) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_non_transformer_estimators_n_iter(SVC) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_decision_proba_consistency(SVC) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_predict1d(SVC) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1sample(SVC) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1feature(SVC) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1feature(SVC) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1sample(SVC) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_get_params_invariance(SVC) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dict_unchanged(SVC) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dont_overwrite_parameters(SVC) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_no_fit_attributes_set_in_init(SVR) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_dtypes(SVR) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit_score_takes_y(SVR) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dtype_object(SVR) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_pandas_series(SVR) ... SKIP: pandas is not installed: not testing for input of type pandas.Series to class weight.
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_list(SVR) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_fit_returns_self(SVR) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_empty_data_messages(SVR) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_pipeline_consistency(SVR) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_nan_inf(SVR) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_overwrite_params(SVR) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimator_sparse_data(SVR) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_pickle(SVR) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressors_train(SVR) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressor_data_not_an_array(SVR) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_partial_fit_n_features(SVR) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressors_no_decision_function(SVR) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_supervised_y_2d(SVR) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_supervised_y_no_nan(SVR) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressors_int(SVR) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_unfitted(SVR) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_non_transformer_estimators_n_iter(SVR) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_predict1d(SVR) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1sample(SVR) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1feature(SVR) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1feature(SVR) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1sample(SVR) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_get_params_invariance(SVR) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dict_unchanged(SVR) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dont_overwrite_parameters(SVR) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_no_fit_attributes_set_in_init(SelectFdr) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_dtypes(SelectFdr) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit_score_takes_y(SelectFdr) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dtype_object(SelectFdr) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_pandas_series(SelectFdr) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_list(SelectFdr) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_fit_returns_self(SelectFdr) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_empty_data_messages(SelectFdr) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_pipeline_consistency(SelectFdr) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_nan_inf(SelectFdr) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_overwrite_params(SelectFdr) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimator_sparse_data(SelectFdr) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_pickle(SelectFdr) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformer_data_not_an_array(SelectFdr) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformer_general(SelectFdr) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformers_unfitted(SelectFdr) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformer_n_iter(SelectFdr) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_predict1d(SelectFdr) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1sample(SelectFdr) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1feature(SelectFdr) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1feature(SelectFdr) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1sample(SelectFdr) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_get_params_invariance(SelectFdr) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dict_unchanged(SelectFdr) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dont_overwrite_parameters(SelectFdr) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_no_fit_attributes_set_in_init(SelectFpr) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_dtypes(SelectFpr) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit_score_takes_y(SelectFpr) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dtype_object(SelectFpr) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_pandas_series(SelectFpr) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_list(SelectFpr) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_fit_returns_self(SelectFpr) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_empty_data_messages(SelectFpr) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_pipeline_consistency(SelectFpr) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_nan_inf(SelectFpr) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_overwrite_params(SelectFpr) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimator_sparse_data(SelectFpr) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_pickle(SelectFpr) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformer_data_not_an_array(SelectFpr) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformer_general(SelectFpr) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformers_unfitted(SelectFpr) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformer_n_iter(SelectFpr) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_predict1d(SelectFpr) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1sample(SelectFpr) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1feature(SelectFpr) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1feature(SelectFpr) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1sample(SelectFpr) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_get_params_invariance(SelectFpr) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dict_unchanged(SelectFpr) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dont_overwrite_parameters(SelectFpr) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_no_fit_attributes_set_in_init(SelectFwe) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_dtypes(SelectFwe) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit_score_takes_y(SelectFwe) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dtype_object(SelectFwe) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_pandas_series(SelectFwe) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_list(SelectFwe) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_fit_returns_self(SelectFwe) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_empty_data_messages(SelectFwe) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_pipeline_consistency(SelectFwe) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_nan_inf(SelectFwe) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_overwrite_params(SelectFwe) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimator_sparse_data(SelectFwe) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_pickle(SelectFwe) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformer_data_not_an_array(SelectFwe) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformer_general(SelectFwe) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformers_unfitted(SelectFwe) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformer_n_iter(SelectFwe) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_predict1d(SelectFwe) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1sample(SelectFwe) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1feature(SelectFwe) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1feature(SelectFwe) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1sample(SelectFwe) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_get_params_invariance(SelectFwe) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dict_unchanged(SelectFwe) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dont_overwrite_parameters(SelectFwe) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_no_fit_attributes_set_in_init(SelectKBest) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_dtypes(SelectKBest) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit_score_takes_y(SelectKBest) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dtype_object(SelectKBest) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_pandas_series(SelectKBest) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_list(SelectKBest) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_fit_returns_self(SelectKBest) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_empty_data_messages(SelectKBest) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_pipeline_consistency(SelectKBest) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_nan_inf(SelectKBest) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_overwrite_params(SelectKBest) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimator_sparse_data(SelectKBest) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_pickle(SelectKBest) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformer_data_not_an_array(SelectKBest) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformer_general(SelectKBest) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformers_unfitted(SelectKBest) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformer_n_iter(SelectKBest) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_predict1d(SelectKBest) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1sample(SelectKBest) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1feature(SelectKBest) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1feature(SelectKBest) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1sample(SelectKBest) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_get_params_invariance(SelectKBest) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dict_unchanged(SelectKBest) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dont_overwrite_parameters(SelectKBest) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_no_fit_attributes_set_in_init(SelectPercentile) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_dtypes(SelectPercentile) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit_score_takes_y(SelectPercentile) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dtype_object(SelectPercentile) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_pandas_series(SelectPercentile) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_list(SelectPercentile) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_fit_returns_self(SelectPercentile) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_empty_data_messages(SelectPercentile) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_pipeline_consistency(SelectPercentile) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_nan_inf(SelectPercentile) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_overwrite_params(SelectPercentile) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimator_sparse_data(SelectPercentile) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_pickle(SelectPercentile) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformer_data_not_an_array(SelectPercentile) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformer_general(SelectPercentile) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformers_unfitted(SelectPercentile) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformer_n_iter(SelectPercentile) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_predict1d(SelectPercentile) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1sample(SelectPercentile) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1feature(SelectPercentile) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1feature(SelectPercentile) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1sample(SelectPercentile) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_get_params_invariance(SelectPercentile) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dict_unchanged(SelectPercentile) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dont_overwrite_parameters(SelectPercentile) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_no_fit_attributes_set_in_init(ShrunkCovariance) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_dtypes(ShrunkCovariance) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit_score_takes_y(ShrunkCovariance) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dtype_object(ShrunkCovariance) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_pandas_series(ShrunkCovariance) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_list(ShrunkCovariance) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_fit_returns_self(ShrunkCovariance) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_empty_data_messages(ShrunkCovariance) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_pipeline_consistency(ShrunkCovariance) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_nan_inf(ShrunkCovariance) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_overwrite_params(ShrunkCovariance) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimator_sparse_data(ShrunkCovariance) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_pickle(ShrunkCovariance) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_predict1d(ShrunkCovariance) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1sample(ShrunkCovariance) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1feature(ShrunkCovariance) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1feature(ShrunkCovariance) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1sample(ShrunkCovariance) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_get_params_invariance(ShrunkCovariance) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dict_unchanged(ShrunkCovariance) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dont_overwrite_parameters(ShrunkCovariance) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_no_fit_attributes_set_in_init(SkewedChi2Sampler) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_dtypes(SkewedChi2Sampler) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit_score_takes_y(SkewedChi2Sampler) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dtype_object(SkewedChi2Sampler) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_pandas_series(SkewedChi2Sampler) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_list(SkewedChi2Sampler) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_fit_returns_self(SkewedChi2Sampler) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_empty_data_messages(SkewedChi2Sampler) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_pipeline_consistency(SkewedChi2Sampler) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_nan_inf(SkewedChi2Sampler) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_overwrite_params(SkewedChi2Sampler) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimator_sparse_data(SkewedChi2Sampler) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_pickle(SkewedChi2Sampler) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformer_data_not_an_array(SkewedChi2Sampler) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformer_general(SkewedChi2Sampler) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformers_unfitted(SkewedChi2Sampler) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformer_n_iter(SkewedChi2Sampler) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_predict1d(SkewedChi2Sampler) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1sample(SkewedChi2Sampler) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1feature(SkewedChi2Sampler) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1feature(SkewedChi2Sampler) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1sample(SkewedChi2Sampler) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_get_params_invariance(SkewedChi2Sampler) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dict_unchanged(SkewedChi2Sampler) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dont_overwrite_parameters(SkewedChi2Sampler) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_no_fit_attributes_set_in_init(SparsePCA) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_dtypes(SparsePCA) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit_score_takes_y(SparsePCA) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dtype_object(SparsePCA) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_pandas_series(SparsePCA) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_list(SparsePCA) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_fit_returns_self(SparsePCA) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_empty_data_messages(SparsePCA) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_pipeline_consistency(SparsePCA) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_nan_inf(SparsePCA) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_overwrite_params(SparsePCA) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimator_sparse_data(SparsePCA) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_pickle(SparsePCA) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformer_data_not_an_array(SparsePCA) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformer_general(SparsePCA) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformers_unfitted(SparsePCA) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformer_n_iter(SparsePCA) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_predict1d(SparsePCA) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1sample(SparsePCA) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1feature(SparsePCA) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1feature(SparsePCA) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1sample(SparsePCA) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_get_params_invariance(SparsePCA) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dict_unchanged(SparsePCA) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dont_overwrite_parameters(SparsePCA) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_no_fit_attributes_set_in_init(SparseRandomProjection) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_dtypes(SparseRandomProjection) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit_score_takes_y(SparseRandomProjection) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dtype_object(SparseRandomProjection) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_pandas_series(SparseRandomProjection) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_list(SparseRandomProjection) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_fit_returns_self(SparseRandomProjection) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_empty_data_messages(SparseRandomProjection) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_pipeline_consistency(SparseRandomProjection) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_nan_inf(SparseRandomProjection) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_overwrite_params(SparseRandomProjection) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimator_sparse_data(SparseRandomProjection) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_pickle(SparseRandomProjection) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformer_data_not_an_array(SparseRandomProjection) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformer_general(SparseRandomProjection) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformers_unfitted(SparseRandomProjection) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformer_n_iter(SparseRandomProjection) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_predict1d(SparseRandomProjection) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1sample(SparseRandomProjection) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1feature(SparseRandomProjection) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1feature(SparseRandomProjection) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1sample(SparseRandomProjection) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_get_params_invariance(SparseRandomProjection) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dict_unchanged(SparseRandomProjection) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dont_overwrite_parameters(SparseRandomProjection) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_no_fit_attributes_set_in_init(SpectralClustering) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_dtypes(SpectralClustering) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit_score_takes_y(SpectralClustering) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dtype_object(SpectralClustering) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_pandas_series(SpectralClustering) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_list(SpectralClustering) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_fit_returns_self(SpectralClustering) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_empty_data_messages(SpectralClustering) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_pipeline_consistency(SpectralClustering) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_nan_inf(SpectralClustering) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_overwrite_params(SpectralClustering) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimator_sparse_data(SpectralClustering) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_pickle(SpectralClustering) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_clusterer_compute_labels_predict(SpectralClustering) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_clustering(SpectralClustering) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_partial_fit_n_features(SpectralClustering) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_non_transformer_estimators_n_iter(SpectralClustering) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_predict1d(SpectralClustering) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1sample(SpectralClustering) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1feature(SpectralClustering) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1feature(SpectralClustering) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1sample(SpectralClustering) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_get_params_invariance(SpectralClustering) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dict_unchanged(SpectralClustering) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dont_overwrite_parameters(SpectralClustering) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_no_fit_attributes_set_in_init(SpectralEmbedding) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_dtypes(SpectralEmbedding) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit_score_takes_y(SpectralEmbedding) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dtype_object(SpectralEmbedding) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_pandas_series(SpectralEmbedding) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_list(SpectralEmbedding) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_fit_returns_self(SpectralEmbedding) ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/manifold/spectral_embedding_.py:234: UserWarning: Graph is not fully connected, spectral embedding may not work as expected.
warnings.warn("Graph is not fully connected, spectral embedding"
ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_empty_data_messages(SpectralEmbedding) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_nan_inf(SpectralEmbedding) ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/manifold/spectral_embedding_.py:234: UserWarning: Graph is not fully connected, spectral embedding may not work as expected.
warnings.warn("Graph is not fully connected, spectral embedding"
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/manifold/spectral_embedding_.py:234: UserWarning: Graph is not fully connected, spectral embedding may not work as expected.
warnings.warn("Graph is not fully connected, spectral embedding"
ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_overwrite_params(SpectralEmbedding) ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/manifold/spectral_embedding_.py:234: UserWarning: Graph is not fully connected, spectral embedding may not work as expected.
warnings.warn("Graph is not fully connected, spectral embedding"
ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimator_sparse_data(SpectralEmbedding) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_pickle(SpectralEmbedding) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_predict1d(SpectralEmbedding) ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/manifold/spectral_embedding_.py:234: UserWarning: Graph is not fully connected, spectral embedding may not work as expected.
warnings.warn("Graph is not fully connected, spectral embedding"
ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1sample(SpectralEmbedding) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1feature(SpectralEmbedding) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1feature(SpectralEmbedding) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1sample(SpectralEmbedding) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_get_params_invariance(SpectralEmbedding) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dict_unchanged(SpectralEmbedding) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dont_overwrite_parameters(SpectralEmbedding) ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/manifold/spectral_embedding_.py:234: UserWarning: Graph is not fully connected, spectral embedding may not work as expected.
warnings.warn("Graph is not fully connected, spectral embedding"
ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_no_fit_attributes_set_in_init(StandardScaler) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_dtypes(StandardScaler) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit_score_takes_y(StandardScaler) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dtype_object(StandardScaler) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_pandas_series(StandardScaler) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_list(StandardScaler) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_fit_returns_self(StandardScaler) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_empty_data_messages(StandardScaler) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_pipeline_consistency(StandardScaler) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_nan_inf(StandardScaler) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_overwrite_params(StandardScaler) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimator_sparse_data(StandardScaler) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_pickle(StandardScaler) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformer_data_not_an_array(StandardScaler) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformer_general(StandardScaler) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformers_unfitted(StandardScaler) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformer_n_iter(StandardScaler) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_predict1d(StandardScaler) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1sample(StandardScaler) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1feature(StandardScaler) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1feature(StandardScaler) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1sample(StandardScaler) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_get_params_invariance(StandardScaler) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dict_unchanged(StandardScaler) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dont_overwrite_parameters(StandardScaler) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_no_fit_attributes_set_in_init(TSNE) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_dtypes(TSNE) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit_score_takes_y(TSNE) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dtype_object(TSNE) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_pandas_series(TSNE) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_list(TSNE) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_fit_returns_self(TSNE) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_empty_data_messages(TSNE) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_pipeline_consistency(TSNE) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_nan_inf(TSNE) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_overwrite_params(TSNE) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimator_sparse_data(TSNE) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_pickle(TSNE) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_predict1d(TSNE) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1sample(TSNE) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1feature(TSNE) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1feature(TSNE) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1sample(TSNE) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_get_params_invariance(TSNE) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dict_unchanged(TSNE) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dont_overwrite_parameters(TSNE) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_no_fit_attributes_set_in_init(TheilSenRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_dtypes(TheilSenRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit_score_takes_y(TheilSenRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dtype_object(TheilSenRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_pandas_series(TheilSenRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_list(TheilSenRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_fit_returns_self(TheilSenRegressor) ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/theil_sen.py:128: ConvergenceWarning: Maximum number of iterations 5 reached in spatial median for TheilSen regressor.
"".format(max_iter=max_iter), ConvergenceWarning)
ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_empty_data_messages(TheilSenRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_pipeline_consistency(TheilSenRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_nan_inf(TheilSenRegressor) ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/theil_sen.py:128: ConvergenceWarning: Maximum number of iterations 5 reached in spatial median for TheilSen regressor.
"".format(max_iter=max_iter), ConvergenceWarning)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/theil_sen.py:128: ConvergenceWarning: Maximum number of iterations 5 reached in spatial median for TheilSen regressor.
"".format(max_iter=max_iter), ConvergenceWarning)
ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_overwrite_params(TheilSenRegressor) ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/theil_sen.py:128: ConvergenceWarning: Maximum number of iterations 5 reached in spatial median for TheilSen regressor.
"".format(max_iter=max_iter), ConvergenceWarning)
ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimator_sparse_data(TheilSenRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_pickle(TheilSenRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressors_train(TheilSenRegressor) ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/theil_sen.py:128: ConvergenceWarning: Maximum number of iterations 5 reached in spatial median for TheilSen regressor.
"".format(max_iter=max_iter), ConvergenceWarning)
ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressor_data_not_an_array(TheilSenRegressor) ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/theil_sen.py:128: ConvergenceWarning: Maximum number of iterations 5 reached in spatial median for TheilSen regressor.
"".format(max_iter=max_iter), ConvergenceWarning)
ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_partial_fit_n_features(TheilSenRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressors_no_decision_function(TheilSenRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_supervised_y_2d(TheilSenRegressor) ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/theil_sen.py:128: ConvergenceWarning: Maximum number of iterations 5 reached in spatial median for TheilSen regressor.
"".format(max_iter=max_iter), ConvergenceWarning)
ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_supervised_y_no_nan(TheilSenRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_regressors_int(TheilSenRegressor) ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/theil_sen.py:128: ConvergenceWarning: Maximum number of iterations 5 reached in spatial median for TheilSen regressor.
"".format(max_iter=max_iter), ConvergenceWarning)
ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_unfitted(TheilSenRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_non_transformer_estimators_n_iter(TheilSenRegressor) ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/theil_sen.py:128: ConvergenceWarning: Maximum number of iterations 5 reached in spatial median for TheilSen regressor.
"".format(max_iter=max_iter), ConvergenceWarning)
ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_predict1d(TheilSenRegressor) ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/theil_sen.py:128: ConvergenceWarning: Maximum number of iterations 5 reached in spatial median for TheilSen regressor.
"".format(max_iter=max_iter), ConvergenceWarning)
ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1sample(TheilSenRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1feature(TheilSenRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1feature(TheilSenRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1sample(TheilSenRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_get_params_invariance(TheilSenRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dict_unchanged(TheilSenRegressor) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dont_overwrite_parameters(TheilSenRegressor) ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/theil_sen.py:128: ConvergenceWarning: Maximum number of iterations 5 reached in spatial median for TheilSen regressor.
"".format(max_iter=max_iter), ConvergenceWarning)
ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/deprecation.py:58: DeprecationWarning: Class VBGMM is deprecated; The `VBGMM` class is not working correctly and it's better to use `sklearn.mixture.BayesianGaussianMixture` class with parameter `weight_concentration_prior_type='dirichlet_distribution'` instead. VBGMM is deprecated in 0.18 and will be removed in 0.20.
warnings.warn(msg, category=DeprecationWarning)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_no_fit_attributes_set_in_init(VBGMM) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_dtypes(VBGMM) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit_score_takes_y(VBGMM) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dtype_object(VBGMM) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_pandas_series(VBGMM) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_list(VBGMM) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_fit_returns_self(VBGMM) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_empty_data_messages(VBGMM) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_pipeline_consistency(VBGMM) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_nan_inf(VBGMM) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_overwrite_params(VBGMM) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimator_sparse_data(VBGMM) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_pickle(VBGMM) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_predict1d(VBGMM) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1sample(VBGMM) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1feature(VBGMM) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1feature(VBGMM) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1sample(VBGMM) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_get_params_invariance(VBGMM) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dict_unchanged(VBGMM) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dont_overwrite_parameters(VBGMM) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_no_fit_attributes_set_in_init(VarianceThreshold) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_dtypes(VarianceThreshold) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit_score_takes_y(VarianceThreshold) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dtype_object(VarianceThreshold) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_pandas_series(VarianceThreshold) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_sample_weights_list(VarianceThreshold) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_fit_returns_self(VarianceThreshold) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_empty_data_messages(VarianceThreshold) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_pipeline_consistency(VarianceThreshold) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_nan_inf(VarianceThreshold) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_overwrite_params(VarianceThreshold) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimator_sparse_data(VarianceThreshold) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_estimators_pickle(VarianceThreshold) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformer_data_not_an_array(VarianceThreshold) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformer_general(VarianceThreshold) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformers_unfitted(VarianceThreshold) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_transformer_n_iter(VarianceThreshold) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_predict1d(VarianceThreshold) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1sample(VarianceThreshold) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit2d_1feature(VarianceThreshold) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1feature(VarianceThreshold) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_fit1d_1sample(VarianceThreshold) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_get_params_invariance(VarianceThreshold) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dict_unchanged(VarianceThreshold) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_non_meta_estimators:check_dont_overwrite_parameters(VarianceThreshold) ... ok
sklearn.tests.test_common.test_configure ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_class_weight_balanced_linear_classifiers:check_class_weight_balanced_linear_classifier(LinearSVC) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_class_weight_balanced_linear_classifiers:check_class_weight_balanced_linear_classifier(LogisticRegression) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_class_weight_balanced_linear_classifiers:check_class_weight_balanced_linear_classifier(LogisticRegressionCV) ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/model_selection/_split.py:605: Warning: The least populated class in y has only 2 members, which is too few. The minimum number of members in any class cannot be less than n_splits=3.
% (min_groups, self.n_splits)), Warning)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/model_selection/_split.py:605: Warning: The least populated class in y has only 2 members, which is too few. The minimum number of members in any class cannot be less than n_splits=3.
% (min_groups, self.n_splits)), Warning)
ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_class_weight_balanced_linear_classifiers:check_class_weight_balanced_linear_classifier(PassiveAggressiveClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_class_weight_balanced_linear_classifiers:check_class_weight_balanced_linear_classifier(Perceptron) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_class_weight_balanced_linear_classifiers:check_class_weight_balanced_linear_classifier(RidgeClassifier) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_class_weight_balanced_linear_classifiers:check_class_weight_balanced_linear_classifier(RidgeClassifierCV) ... ok
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py.test_class_weight_balanced_linear_classifiers:check_class_weight_balanced_linear_classifier(SGDClassifier) ... ok
sklearn.tests.test_common.test_root_import_all_completeness ... ok
sklearn.tests.test_common.test_all_tests_are_importable ... ok
sklearn.tests.test_common.test_import_all_consistency ... ok
sklearn.tests.test_config.test_config_context ... ok
sklearn.tests.test_config.test_config_context_exception ... ok
sklearn.tests.test_config.test_set_config ... ok
sklearn.tests.test_cross_validation.test_kfold_valueerrors ... ok
sklearn.tests.test_cross_validation.test_kfold_indices ... ok
sklearn.tests.test_cross_validation.test_kfold_no_shuffle ... ok
sklearn.tests.test_cross_validation.test_stratified_kfold_no_shuffle ... ok
sklearn.tests.test_cross_validation.test_stratified_kfold_ratios ... ok
sklearn.tests.test_cross_validation.test_kfold_balance ... ok
sklearn.tests.test_cross_validation.test_cross_val_generator_with_default_indices ... ok
sklearn.tests.test_cross_validation.test_stratifiedkfold_balance ... ok
sklearn.tests.test_cross_validation.test_shuffle_kfold ... ok
sklearn.tests.test_cross_validation.test_shuffle_stratifiedkfold ... ok
sklearn.tests.test_cross_validation.test_kfold_can_detect_dependent_samples_on_digits ... ok
sklearn.tests.test_cross_validation.test_label_kfold ... ok
sklearn.tests.test_cross_validation.test_shuffle_split ... ok
sklearn.tests.test_cross_validation.test_stratified_shuffle_split_init ... ok
sklearn.tests.test_cross_validation.test_stratified_shuffle_split_iter ... ok
sklearn.tests.test_cross_validation.test_stratified_shuffle_split_even ... ok
sklearn.tests.test_cross_validation.test_stratified_shuffle_split_overlap_train_test_bug ... ok
sklearn.tests.test_cross_validation.test_predefinedsplit_with_kfold_split ... ok
sklearn.tests.test_cross_validation.test_label_shuffle_split ... ok
sklearn.tests.test_cross_validation.test_leave_label_out_changing_labels ... ok
sklearn.tests.test_cross_validation.test_cross_val_score ... ok
sklearn.tests.test_cross_validation.test_cross_val_score_pandas ... ok
sklearn.tests.test_cross_validation.test_cross_val_score_mask ... ok
sklearn.tests.test_cross_validation.test_cross_val_score_precomputed ... ok
sklearn.tests.test_cross_validation.test_cross_val_score_fit_params ... ok
sklearn.tests.test_cross_validation.test_cross_val_score_score_func ... ok
sklearn.tests.test_cross_validation.test_cross_val_score_errors ... ok
sklearn.tests.test_cross_validation.test_train_test_split_errors ... ok
sklearn.tests.test_cross_validation.test_train_test_split ... ok
sklearn.tests.test_cross_validation.train_test_split_pandas ... ok
sklearn.tests.test_cross_validation.train_test_split_mock_pandas ... ok
sklearn.tests.test_cross_validation.test_cross_val_score_with_score_func_classification ... ok
sklearn.tests.test_cross_validation.test_cross_val_score_with_score_func_regression ... ok
sklearn.tests.test_cross_validation.test_permutation_score ... ok
sklearn.tests.test_cross_validation.test_cross_val_generator_with_indices ... ok
sklearn.tests.test_cross_validation.test_shufflesplit_errors ... ok
sklearn.tests.test_cross_validation.test_shufflesplit_reproducible ... ok
sklearn.tests.test_cross_validation.test_safe_split_with_precomputed_kernel ... ok
sklearn.tests.test_cross_validation.test_cross_val_score_allow_nans ... ok
sklearn.tests.test_cross_validation.test_train_test_split_allow_nans ... ok
sklearn.tests.test_cross_validation.test_permutation_test_score_allow_nans ... ok
sklearn.tests.test_cross_validation.test_check_cv_return_types ... ok
sklearn.tests.test_cross_validation.test_cross_val_score_multilabel ... ok
sklearn.tests.test_cross_validation.test_cross_val_predict ... ok
sklearn.tests.test_cross_validation.test_cross_val_predict_input_types ... ok
sklearn.tests.test_cross_validation.test_cross_val_predict_pandas ... ok
sklearn.tests.test_cross_validation.test_sparse_fit_params ... ok
sklearn.tests.test_cross_validation.test_check_is_partition ... ok
sklearn.tests.test_cross_validation.test_cross_val_predict_sparse_prediction ... ok
sklearn.tests.test_discriminant_analysis.test_lda_predict ... ok
sklearn.tests.test_discriminant_analysis.test_lda_priors ... ok
sklearn.tests.test_discriminant_analysis.test_lda_coefs ... ok
sklearn.tests.test_discriminant_analysis.test_lda_transform ... ok
sklearn.tests.test_discriminant_analysis.test_lda_explained_variance_ratio ... ok
sklearn.tests.test_discriminant_analysis.test_lda_orthogonality ... ok
sklearn.tests.test_discriminant_analysis.test_lda_scaling ... ok
sklearn.tests.test_discriminant_analysis.test_lda_store_covariance ... ok
sklearn.tests.test_discriminant_analysis.test_qda ... ok
sklearn.tests.test_discriminant_analysis.test_qda_priors ... ok
sklearn.tests.test_discriminant_analysis.test_qda_store_covariance ... ok
sklearn.tests.test_discriminant_analysis.test_qda_deprecation ... ok
sklearn.tests.test_discriminant_analysis.test_qda_regularization ... ok
sklearn.tests.test_discriminant_analysis.test_covariance ... ok
sklearn.tests.test_docstring_parameters.test_docstring_parameters ... SKIP: Not testing docstring parameter consistency
sklearn.tests.test_docstring_parameters.test_tabs ... ok
sklearn.tests.test_dummy.test_most_frequent_and_prior_strategy ... ok
sklearn.tests.test_dummy.test_most_frequent_and_prior_strategy_multioutput ... ok
sklearn.tests.test_dummy.test_stratified_strategy ... ok
sklearn.tests.test_dummy.test_stratified_strategy_multioutput ... ok
sklearn.tests.test_dummy.test_uniform_strategy ... ok
sklearn.tests.test_dummy.test_uniform_strategy_multioutput ... ok
sklearn.tests.test_dummy.test_string_labels ... ok
sklearn.tests.test_dummy.test_classifier_exceptions ... ok
sklearn.tests.test_dummy.test_mean_strategy_regressor ... ok
sklearn.tests.test_dummy.test_mean_strategy_multioutput_regressor ... ok
sklearn.tests.test_dummy.test_regressor_exceptions ... ok
sklearn.tests.test_dummy.test_median_strategy_regressor ... ok
sklearn.tests.test_dummy.test_median_strategy_multioutput_regressor ... ok
sklearn.tests.test_dummy.test_quantile_strategy_regressor ... ok
sklearn.tests.test_dummy.test_quantile_strategy_multioutput_regressor ... ok
sklearn.tests.test_dummy.test_quantile_invalid ... ok
sklearn.tests.test_dummy.test_quantile_strategy_empty_train ... ok
sklearn.tests.test_dummy.test_constant_strategy_regressor ... ok
sklearn.tests.test_dummy.test_constant_strategy_multioutput_regressor ... ok
sklearn.tests.test_dummy.test_y_mean_attribute_regressor ... ok
sklearn.tests.test_dummy.test_unknown_strategey_regressor ... ok
sklearn.tests.test_dummy.test_constants_not_specified_regressor ... ok
sklearn.tests.test_dummy.test_constant_size_multioutput_regressor ... ok
sklearn.tests.test_dummy.test_constant_strategy ... ok
sklearn.tests.test_dummy.test_constant_strategy_multioutput ... ok
sklearn.tests.test_dummy.test_constant_strategy_exceptions ... ok
sklearn.tests.test_dummy.test_classification_sample_weight ... ok
sklearn.tests.test_dummy.test_constant_strategy_sparse_target ... ok
sklearn.tests.test_dummy.test_uniform_strategy_sparse_target_warning ... ok
sklearn.tests.test_dummy.test_stratified_strategy_sparse_target ... ok
sklearn.tests.test_dummy.test_most_frequent_and_prior_strategy_sparse_target ... ok
sklearn.tests.test_dummy.test_dummy_regressor_sample_weight ... ok
sklearn.tests.test_dummy.test_dummy_classifier_on_nan_value ... ok
sklearn.tests.test_dummy.test_dummy_regressor_on_nan_value ... ok
sklearn.tests.test_grid_search.test_parameter_grid ... ok
sklearn.tests.test_grid_search.test_grid_search ... [Parallel(n_jobs=1)]: Done 1 out of 1 | elapsed: 0.0s remaining: 0.0s
[Parallel(n_jobs=1)]: Done 2 out of 2 | elapsed: 0.0s remaining: 0.0s
[Parallel(n_jobs=1)]: Done 9 out of 9 | elapsed: 0.0s finished
ok
sklearn.tests.test_grid_search.test_transform_inverse_transform_round_trip ... [Parallel(n_jobs=1)]: Done 1 out of 1 | elapsed: 0.0s remaining: 0.0s
[Parallel(n_jobs=1)]: Done 2 out of 2 | elapsed: 0.0s remaining: 0.0s
[Parallel(n_jobs=1)]: Done 9 out of 9 | elapsed: 0.0s finished
ok
sklearn.tests.test_grid_search.test_grid_search_score_method ... ok
sklearn.tests.test_grid_search.test_trivial_grid_scores ... ok
sklearn.tests.test_grid_search.test_no_refit ... ok
sklearn.tests.test_grid_search.test_grid_search_error ... ok
sklearn.tests.test_grid_search.test_grid_search_iid ... ok
sklearn.tests.test_grid_search.test_grid_search_no_score ... ok
sklearn.tests.test_grid_search.test_refit ... ok
sklearn.tests.test_grid_search.test_grid_search_one_grid_point ... ok
sklearn.tests.test_grid_search.test_grid_search_bad_param_grid ... ok
sklearn.tests.test_grid_search.test_grid_search_sparse ... ok
sklearn.tests.test_grid_search.test_grid_search_sparse_scoring ... ok
sklearn.tests.test_grid_search.test_grid_search_precomputed_kernel ... ok
sklearn.tests.test_grid_search.test_grid_search_precomputed_kernel_error_nonsquare ... ok
sklearn.tests.test_grid_search.test_grid_search_precomputed_kernel_error_kernel_function ... ok
sklearn.tests.test_grid_search.test_gridsearch_nd ... ok
sklearn.tests.test_grid_search.test_X_as_list ... ok
sklearn.tests.test_grid_search.test_y_as_list ... ok
sklearn.tests.test_grid_search.test_pandas_input ... ok
sklearn.tests.test_grid_search.test_unsupervised_grid_search ... ok
sklearn.tests.test_grid_search.test_gridsearch_no_predict ... ok
sklearn.tests.test_grid_search.test_param_sampler ... ok
sklearn.tests.test_grid_search.test_randomized_search_grid_scores ... ok
sklearn.tests.test_grid_search.test_grid_search_score_consistency ... ok
sklearn.tests.test_grid_search.test_pickle ... ok
sklearn.tests.test_grid_search.test_grid_search_with_multioutput_data ... ok
sklearn.tests.test_grid_search.test_predict_proba_disabled ... ok
sklearn.tests.test_grid_search.test_grid_search_allows_nans ... ok
sklearn.tests.test_grid_search.test_grid_search_failing_classifier ... ok
sklearn.tests.test_grid_search.test_grid_search_failing_classifier_raise ... ok
sklearn.tests.test_grid_search.test_parameters_sampler_replacement ... ok
sklearn.tests.test_grid_search.test_classes__property ... ok
sklearn.tests.test_init.test_import_skl ... ok
sklearn.tests.test_init.test_import_sklearn_no_warnings ... SKIP: soft-failed test_import_sklearn_no_warnings.
Command '['python', '-Wdefault', '-c', 'import sklearn.__check_build; import sklearn._build_utils; import sklearn._isotonic; import sklearn.base; import sklearn.calibration; import sklearn.cluster; import sklearn.covariance; import sklearn.cross_decomposition; import sklearn.cross_validation; import sklearn.datasets; import sklearn.decomposition; import sklearn.discriminant_analysis; import sklearn.dummy; import sklearn.ensemble; import sklearn.exceptions; import sklearn.externals; import sklearn.feature_extraction; import sklearn.feature_selection; import sklearn.gaussian_process; import sklearn.grid_search; import sklearn.isotonic; import sklearn.kernel_approximation; import sklearn.kernel_ridge; import sklearn.learning_curve; import sklearn.linear_model; import sklearn.manifold; import sklearn.metrics; import sklearn.mixture; import sklearn.model_selection; import sklearn.multiclass; import sklearn.multioutput; import sklearn.naive_bayes; import sklearn.neighbors; import sklearn.neural_network; import sklearn.pipeline; import sklearn.preprocessing; import sklearn.random_projection; import sklearn.semi_supervised; import sklearn.setup; import sklearn.svm; import sklearn.tests; import sklearn.tree; import sklearn.utils']' returned non-zero exit status 1.,
No message yet
sklearn.tests.test_isotonic.test_permutation_invariance ... ok
sklearn.tests.test_isotonic.test_check_increasing_small_number_of_samples ... ok
sklearn.tests.test_isotonic.test_check_increasing_up ... ok
sklearn.tests.test_isotonic.test_check_increasing_up_extreme ... ok
sklearn.tests.test_isotonic.test_check_increasing_down ... ok
sklearn.tests.test_isotonic.test_check_increasing_down_extreme ... ok
sklearn.tests.test_isotonic.test_check_ci_warn ... ok
sklearn.tests.test_isotonic.test_isotonic_regression ... ok
sklearn.tests.test_isotonic.test_isotonic_regression_ties_min ... ok
sklearn.tests.test_isotonic.test_isotonic_regression_ties_max ... ok
Test isotonic regression fit, transform and fit_transform ... ok
sklearn.tests.test_isotonic.test_isotonic_regression_reversed ... ok
sklearn.tests.test_isotonic.test_isotonic_regression_auto_decreasing ... ok
sklearn.tests.test_isotonic.test_isotonic_regression_auto_increasing ... ok
sklearn.tests.test_isotonic.test_assert_raises_exceptions ... ok
sklearn.tests.test_isotonic.test_isotonic_sample_weight_parameter_default_value ... ok
sklearn.tests.test_isotonic.test_isotonic_min_max_boundaries ... ok
sklearn.tests.test_isotonic.test_isotonic_sample_weight ... ok
sklearn.tests.test_isotonic.test_isotonic_regression_oob_raise ... ok
sklearn.tests.test_isotonic.test_isotonic_regression_oob_clip ... ok
sklearn.tests.test_isotonic.test_isotonic_regression_oob_nan ... ok
sklearn.tests.test_isotonic.test_isotonic_regression_oob_bad ... ok
sklearn.tests.test_isotonic.test_isotonic_regression_oob_bad_after ... ok
sklearn.tests.test_isotonic.test_isotonic_regression_pickle ... ok
sklearn.tests.test_isotonic.test_isotonic_duplicate_min_entry ... ok
sklearn.tests.test_isotonic.test_isotonic_ymin_ymax ... ok
sklearn.tests.test_isotonic.test_isotonic_zero_weight_loop ... ok
sklearn.tests.test_isotonic.test_fast_predict ... ok
sklearn.tests.test_isotonic.test_isotonic_copy_before_fit ... ok
sklearn.tests.test_kernel_approximation.test_additive_chi2_sampler ... ok
sklearn.tests.test_kernel_approximation.test_skewed_chi2_sampler ... ok
sklearn.tests.test_kernel_approximation.test_rbf_sampler ... ok
sklearn.tests.test_kernel_approximation.test_input_validation ... ok
sklearn.tests.test_kernel_approximation.test_nystroem_approximation ... ok
sklearn.tests.test_kernel_approximation.test_nystroem_default_parameters ... ok
sklearn.tests.test_kernel_approximation.test_nystroem_singular_kernel ... ok
sklearn.tests.test_kernel_approximation.test_nystroem_poly_kernel_params ... ok
sklearn.tests.test_kernel_approximation.test_nystroem_callable ... ok
sklearn.tests.test_kernel_ridge.test_kernel_ridge ... ok
sklearn.tests.test_kernel_ridge.test_kernel_ridge_csr ... ok
sklearn.tests.test_kernel_ridge.test_kernel_ridge_csc ... ok
sklearn.tests.test_kernel_ridge.test_kernel_ridge_singular_kernel ... ok
sklearn.tests.test_kernel_ridge.test_kernel_ridge_precomputed ... ok
sklearn.tests.test_kernel_ridge.test_kernel_ridge_precomputed_kernel_unchanged ... ok
sklearn.tests.test_kernel_ridge.test_kernel_ridge_sample_weights ... ok
sklearn.tests.test_kernel_ridge.test_kernel_ridge_multi_output ... ok
sklearn.tests.test_learning_curve.test_learning_curve ... ok
sklearn.tests.test_learning_curve.test_learning_curve_unsupervised ... ok
sklearn.tests.test_learning_curve.test_learning_curve_verbose ... [Parallel(n_jobs=1)]: Done 15 out of 15 | elapsed: 0.0s finished
ok
sklearn.tests.test_learning_curve.test_learning_curve_error_score ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cross_validation.py:1686: FitFailedWarning: Classifier fit failed. The score on this train-test partition for these parameters will be set to 0.000000. Details:
ValueError()
"Details: \n%r" % (error_score, e), FitFailedWarning)
ok
sklearn.tests.test_learning_curve.test_learning_curve_error_score_default_raise ... ok
sklearn.tests.test_learning_curve.test_learning_curve_incremental_learning_not_possible ... ok
sklearn.tests.test_learning_curve.test_learning_curve_incremental_learning ... ok
sklearn.tests.test_learning_curve.test_learning_curve_incremental_learning_unsupervised ... ok
sklearn.tests.test_learning_curve.test_learning_curve_batch_and_incremental_learning_are_equal ... ok
sklearn.tests.test_learning_curve.test_learning_curve_n_sample_range_out_of_bounds ... ok
sklearn.tests.test_learning_curve.test_learning_curve_remove_duplicate_sample_sizes ... ok
sklearn.tests.test_learning_curve.test_learning_curve_with_boolean_indices ... ok
sklearn.tests.test_learning_curve.test_validation_curve ... ok
sklearn.tests.test_learning_curve.test_validation_curve_clone_estimator ... ok
sklearn.tests.test_metaestimators.test_metaestimator_delegation ... ok
sklearn.tests.test_multiclass.test_ovr_exceptions ... ok
sklearn.tests.test_multiclass.test_check_classification_targets ... ok
sklearn.tests.test_multiclass.test_ovr_fit_predict ... ok
sklearn.tests.test_multiclass.test_ovr_partial_fit ... ok
sklearn.tests.test_multiclass.test_ovr_partial_fit_exceptions ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/naive_bayes.py:461: RuntimeWarning: divide by zero encountered in log
self.class_log_prior_ = (np.log(self.class_count_) -
ok
sklearn.tests.test_multiclass.test_ovr_ovo_regressor ... ok
sklearn.tests.test_multiclass.test_ovr_fit_predict_sparse ... ok
sklearn.tests.test_multiclass.test_ovr_always_present ... ok
sklearn.tests.test_multiclass.test_ovr_multiclass ... ok
sklearn.tests.test_multiclass.test_ovr_binary ... ok
sklearn.tests.test_multiclass.test_ovr_multilabel ... ok
sklearn.tests.test_multiclass.test_ovr_fit_predict_svc ... ok
sklearn.tests.test_multiclass.test_ovr_multilabel_dataset ... ok
sklearn.tests.test_multiclass.test_ovr_multilabel_predict_proba ... ok
sklearn.tests.test_multiclass.test_ovr_single_label_predict_proba ... ok
sklearn.tests.test_multiclass.test_ovr_multilabel_decision_function ... ok
sklearn.tests.test_multiclass.test_ovr_single_label_decision_function ... ok
sklearn.tests.test_multiclass.test_ovr_gridsearch ... ok
sklearn.tests.test_multiclass.test_ovr_pipeline ... ok
sklearn.tests.test_multiclass.test_ovr_coef_ ... ok
sklearn.tests.test_multiclass.test_ovr_coef_exceptions ... ok
sklearn.tests.test_multiclass.test_ovo_exceptions ... ok
sklearn.tests.test_multiclass.test_ovo_fit_on_list ... ok
sklearn.tests.test_multiclass.test_ovo_fit_predict ... ok
sklearn.tests.test_multiclass.test_ovo_partial_fit_predict ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/naive_bayes.py:461: RuntimeWarning: divide by zero encountered in log
self.class_log_prior_ = (np.log(self.class_count_) -
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/naive_bayes.py:461: RuntimeWarning: divide by zero encountered in log
self.class_log_prior_ = (np.log(self.class_count_) -
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/naive_bayes.py:461: RuntimeWarning: divide by zero encountered in log
self.class_log_prior_ = (np.log(self.class_count_) -
ok
sklearn.tests.test_multiclass.test_ovo_decision_function ... ok
sklearn.tests.test_multiclass.test_ovo_gridsearch ... ok
sklearn.tests.test_multiclass.test_ovo_ties ... ok
sklearn.tests.test_multiclass.test_ovo_ties2 ... ok
sklearn.tests.test_multiclass.test_ovo_string_y ... ok
sklearn.tests.test_multiclass.test_ovo_one_class ... ok
sklearn.tests.test_multiclass.test_ovo_float_y ... ok
sklearn.tests.test_multiclass.test_ecoc_exceptions ... ok
sklearn.tests.test_multiclass.test_ecoc_fit_predict ... ok
sklearn.tests.test_multiclass.test_ecoc_gridsearch ... ok
sklearn.tests.test_multiclass.test_ecoc_float_y ... ok
sklearn.tests.test_multiclass.test_pairwise_indices ... ok
sklearn.tests.test_multiclass.test_pairwise_attribute ... ok
sklearn.tests.test_multiclass.test_pairwise_cross_val_score ... ok
sklearn.tests.test_multioutput.test_multi_target_regression ... ok
sklearn.tests.test_multioutput.test_multi_target_regression_partial_fit ... ok
sklearn.tests.test_multioutput.test_multi_target_regression_one_target ... ok
sklearn.tests.test_multioutput.test_multi_target_sparse_regression ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/validation.py:304: UserWarning: Can't check dok sparse matrix for nan or inf.
% spmatrix.format)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/validation.py:304: UserWarning: Can't check dok sparse matrix for nan or inf.
% spmatrix.format)
ok
sklearn.tests.test_multioutput.test_multi_target_sample_weights_api ... ok
sklearn.tests.test_multioutput.test_multi_target_sample_weight_partial_fit ... ok
sklearn.tests.test_multioutput.test_multi_target_sample_weights ... ok
sklearn.tests.test_multioutput.test_multi_output_classification_partial_fit_parallelism ... ok
sklearn.tests.test_multioutput.test_multi_output_classification_partial_fit ... ok
sklearn.tests.test_multioutput.test_mutli_output_classifiation_partial_fit_no_first_classes_exception ... ok
sklearn.tests.test_multioutput.test_multi_output_classification ... ok
sklearn.tests.test_multioutput.test_multiclass_multioutput_estimator ... ok
sklearn.tests.test_multioutput.test_multiclass_multioutput_estimator_predict_proba ... ok
sklearn.tests.test_multioutput.test_multi_output_classification_sample_weights ... ok
sklearn.tests.test_multioutput.test_multi_output_classification_partial_fit_sample_weights ... ok
sklearn.tests.test_multioutput.test_multi_output_exceptions ... ok
sklearn.tests.test_multioutput.test_classifier_chain_fit_and_predict_with_logistic_regression ... ok
sklearn.tests.test_multioutput.test_classifier_chain_fit_and_predict_with_linear_svc ... ok
sklearn.tests.test_multioutput.test_classifier_chain_fit_and_predict_with_sparse_data ... ok
sklearn.tests.test_multioutput.test_classifier_chain_fit_and_predict_with_sparse_data_and_cv ... ok
sklearn.tests.test_multioutput.test_classifier_chain_random_order ... ok
sklearn.tests.test_multioutput.test_classifier_chain_crossval_fit_and_predict ... ok
sklearn.tests.test_multioutput.test_classifier_chain_vs_independent_models ... ok
sklearn.tests.test_naive_bayes.test_gnb ... ok
sklearn.tests.test_naive_bayes.test_gnb_prior ... ok
Test whether sample weights are properly used in GNB. ... ok
Test whether an error is raised in case of negative priors ... ok
Test whether the class prior override is properly used ... ok
Test whether an error is raised if the number of prior is different ... ok
Test if an error is raised if the sum of prior greater than one ... ok
Test if good prediction when class prior favor largely one class ... ok
Test when the partial fit is called without any data ... ok
Test whether an error is raised when the number of feature changes ... ok
sklearn.tests.test_naive_bayes.test_discrete_prior ... ok
sklearn.tests.test_naive_bayes.test_mnnb ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/naive_bayes.py:461: RuntimeWarning: divide by zero encountered in log
self.class_log_prior_ = (np.log(self.class_count_) -
ok
sklearn.tests.test_naive_bayes.test_discretenb_partial_fit(<class 'sklearn.naive_bayes.MultinomialNB'>,) ... ok
sklearn.tests.test_naive_bayes.test_discretenb_partial_fit(<class 'sklearn.naive_bayes.BernoulliNB'>,) ... ok
sklearn.tests.test_naive_bayes.test_gnb_partial_fit ... ok
sklearn.tests.test_naive_bayes.test_discretenb_pickle ... ok
sklearn.tests.test_naive_bayes.test_input_check_fit ... ok
sklearn.tests.test_naive_bayes.test_input_check_partial_fit ... ok
sklearn.tests.test_naive_bayes.test_discretenb_predict_proba ... ok
sklearn.tests.test_naive_bayes.test_discretenb_uniform_prior ... ok
sklearn.tests.test_naive_bayes.test_discretenb_provide_prior ... ok
sklearn.tests.test_naive_bayes.test_discretenb_provide_prior_with_partial_fit ... ok
sklearn.tests.test_naive_bayes.test_sample_weight_multiclass(<class 'sklearn.naive_bayes.BernoulliNB'>,) ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/naive_bayes.py:461: RuntimeWarning: divide by zero encountered in log
self.class_log_prior_ = (np.log(self.class_count_) -
ok
sklearn.tests.test_naive_bayes.test_sample_weight_multiclass(<class 'sklearn.naive_bayes.MultinomialNB'>,) ... ok
sklearn.tests.test_naive_bayes.test_sample_weight_mnb ... ok
sklearn.tests.test_naive_bayes.test_coef_intercept_shape ... ok
sklearn.tests.test_naive_bayes.test_check_accuracy_on_digits ... ok
sklearn.tests.test_naive_bayes.test_feature_log_prob_bnb ... ok
sklearn.tests.test_naive_bayes.test_bnb ... ok
sklearn.tests.test_naive_bayes.test_naive_bayes_scale_invariance ... ok
sklearn.tests.test_naive_bayes.test_alpha ... ok
sklearn.tests.test_pipeline.test_pipeline_init ... ok
sklearn.tests.test_pipeline.test_pipeline_init_tuple ... ok
sklearn.tests.test_pipeline.test_pipeline_methods_anova ... ok
sklearn.tests.test_pipeline.test_pipeline_fit_params ... ok
sklearn.tests.test_pipeline.test_pipeline_sample_weight_supported ... ok
sklearn.tests.test_pipeline.test_pipeline_sample_weight_unsupported ... ok
sklearn.tests.test_pipeline.test_pipeline_raise_set_params_error ... ok
sklearn.tests.test_pipeline.test_pipeline_methods_pca_svm ... ok
sklearn.tests.test_pipeline.test_pipeline_methods_preprocessing_svm ... ok
sklearn.tests.test_pipeline.test_fit_predict_on_pipeline ... ok
sklearn.tests.test_pipeline.test_fit_predict_on_pipeline_without_fit_predict ... ok
sklearn.tests.test_pipeline.test_fit_predict_with_intermediate_fit_params ... ok
sklearn.tests.test_pipeline.test_feature_union ... ok
sklearn.tests.test_pipeline.test_make_union ... ok
sklearn.tests.test_pipeline.test_make_union_kwargs ... ok
sklearn.tests.test_pipeline.test_pipeline_transform ... ok
sklearn.tests.test_pipeline.test_pipeline_fit_transform ... ok
sklearn.tests.test_pipeline.test_set_pipeline_steps ... ok
sklearn.tests.test_pipeline.test_pipeline_named_steps ... ok
sklearn.tests.test_pipeline.test_set_pipeline_step_none ... ok
sklearn.tests.test_pipeline.test_pipeline_ducktyping ... ok
sklearn.tests.test_pipeline.test_make_pipeline ... ok
sklearn.tests.test_pipeline.test_feature_union_weights ... ok
sklearn.tests.test_pipeline.test_feature_union_parallel ... ok
sklearn.tests.test_pipeline.test_feature_union_feature_names ... ok
sklearn.tests.test_pipeline.test_classes_property ... ok
sklearn.tests.test_pipeline.test_set_feature_union_steps ... ok
sklearn.tests.test_pipeline.test_set_feature_union_step_none ... ok
sklearn.tests.test_pipeline.test_step_name_validation ... ok
sklearn.tests.test_pipeline.test_set_params_nested_pipeline ... ok
sklearn.tests.test_pipeline.test_pipeline_wrong_memory ... ok
sklearn.tests.test_pipeline.test_pipeline_with_cache_attribute ... ok
sklearn.tests.test_pipeline.test_pipeline_memory ... ok
sklearn.tests.test_pipeline.test_make_pipeline_memory ... ok
sklearn.tests.test_random_projection.test_invalid_jl_domain ... ok
sklearn.tests.test_random_projection.test_input_size_jl_min_dim ... ok
sklearn.tests.test_random_projection.test_basic_property_of_random_matrix(<function gaussian_random_matrix at 0xf3909d20>,) ... ok
sklearn.tests.test_random_projection.test_basic_property_of_random_matrix(<function gaussian_random_matrix at 0xf3909d20>,) ... ok
sklearn.tests.test_random_projection.test_basic_property_of_random_matrix(<function gaussian_random_matrix at 0xf3909d20>,) ... ok
sklearn.tests.test_random_projection.test_basic_property_of_random_matrix(<function sparse_random_matrix at 0xf3909d68>,) ... ok
sklearn.tests.test_random_projection.test_basic_property_of_random_matrix(<function sparse_random_matrix at 0xf3909d68>,) ... ok
sklearn.tests.test_random_projection.test_basic_property_of_random_matrix(<function sparse_random_matrix at 0xf3909d68>,) ... ok
sklearn.tests.test_random_projection.test_basic_property_of_random_matrix(<function sparse_random_matrix at 0xf3909d68>,) ... ok
sklearn.tests.test_random_projection.test_basic_property_of_random_matrix(<function test_basic_property_of_random_matrix.<locals>.<lambda> at 0xedd529c0>,) ... ok
sklearn.tests.test_random_projection.test_gaussian_random_matrix ... ok
sklearn.tests.test_random_projection.test_sparse_random_matrix ... ok
sklearn.tests.test_random_projection.test_sparse_random_projection_transformer_invalid_density ... ok
sklearn.tests.test_random_projection.test_random_projection_transformer_invalid_input ... ok
sklearn.tests.test_random_projection.test_try_to_transform_before_fit ... ok
sklearn.tests.test_random_projection.test_too_many_samples_to_find_a_safe_embedding ... ok
sklearn.tests.test_random_projection.test_random_projection_embedding_quality ... ok
sklearn.tests.test_random_projection.test_SparseRandomProjection_output_representation ... ok
sklearn.tests.test_random_projection.test_correct_RandomProjection_dimensions_embedding ... ok
sklearn.tests.test_random_projection.test_warning_n_components_greater_than_n_features ... ok
sklearn.tests.test_random_projection.test_works_with_sparse_data ... ok
----------------------------------------------------------------------
Ran 8016 tests in 882.262s
OK (SKIP=76)
Failure: UnicodeDecodeError ('ascii' codec can't decode byte 0xc3 in position 3279: ordinal not in range(128)) ... ERROR
Failure: ModuleNotFoundError (No module named 'github_link') ... ERROR
Doctest: faq.rst ... ok
Failure: UnicodeDecodeError ('ascii' codec can't decode byte 0xc3 in position 11649: ordinal not in range(128)) ... ERROR
Failure: UnicodeDecodeError ('ascii' codec can't decode byte 0xc3 in position 3266: ordinal not in range(128)) ... ERROR
Failure: UnicodeDecodeError ('ascii' codec can't decode byte 0xc3 in position 1266: ordinal not in range(128)) ... ERROR
======================================================================
ERROR: Failure: UnicodeDecodeError ('ascii' codec can't decode byte 0xc3 in position 3279: ordinal not in range(128))
----------------------------------------------------------------------
Traceback (most recent call last):
File "/usr/lib/python3/dist-packages/nose/failure.py", line 39, in runTest
raise self.exc_val.with_traceback(self.tb)
File "/usr/lib/python3/dist-packages/nose/plugins/manager.py", line 154, in generate
for r in result:
File "/usr/lib/python3/dist-packages/nose/plugins/doctests.py", line 264, in loadTestsFromFile
doc = dh.read()
File "/usr/lib/python3.6/encodings/ascii.py", line 26, in decode
return codecs.ascii_decode(input, self.errors)[0]
UnicodeDecodeError: 'ascii' codec can't decode byte 0xc3 in position 3279: ordinal not in range(128)
======================================================================
ERROR: Failure: ModuleNotFoundError (No module named 'github_link')
----------------------------------------------------------------------
Traceback (most recent call last):
File "/usr/lib/python3/dist-packages/nose/failure.py", line 39, in runTest
raise self.exc_val.with_traceback(self.tb)
File "/usr/lib/python3/dist-packages/nose/loader.py", line 417, in loadTestsFromName
addr.filename, addr.module)
File "/usr/lib/python3/dist-packages/nose/importer.py", line 47, in importFromPath
return self.importFromDir(dir_path, fqname)
File "/usr/lib/python3/dist-packages/nose/importer.py", line 94, in importFromDir
mod = load_module(part_fqname, fh, filename, desc)
File "/usr/lib/python3.6/imp.py", line 235, in load_module
return load_source(name, filename, file)
File "/usr/lib/python3.6/imp.py", line 172, in load_source
module = _load(spec)
File "<frozen importlib._bootstrap>", line 684, in _load
File "<frozen importlib._bootstrap>", line 665, in _load_unlocked
File "<frozen importlib._bootstrap_external>", line 678, in exec_module
File "<frozen importlib._bootstrap>", line 219, in _call_with_frames_removed
File "/<<PKGBUILDDIR>>/doc/conf.py", line 26, in <module>
from github_link import make_linkcode_resolve
ModuleNotFoundError: No module named 'github_link'
======================================================================
ERROR: Failure: UnicodeDecodeError ('ascii' codec can't decode byte 0xc3 in position 11649: ordinal not in range(128))
----------------------------------------------------------------------
Traceback (most recent call last):
File "/usr/lib/python3/dist-packages/nose/failure.py", line 39, in runTest
raise self.exc_val.with_traceback(self.tb)
File "/usr/lib/python3/dist-packages/nose/plugins/manager.py", line 154, in generate
for r in result:
File "/usr/lib/python3/dist-packages/nose/plugins/doctests.py", line 264, in loadTestsFromFile
doc = dh.read()
File "/usr/lib/python3.6/encodings/ascii.py", line 26, in decode
return codecs.ascii_decode(input, self.errors)[0]
UnicodeDecodeError: 'ascii' codec can't decode byte 0xc3 in position 11649: ordinal not in range(128)
======================================================================
ERROR: Failure: UnicodeDecodeError ('ascii' codec can't decode byte 0xc3 in position 3266: ordinal not in range(128))
----------------------------------------------------------------------
Traceback (most recent call last):
File "/usr/lib/python3/dist-packages/nose/failure.py", line 39, in runTest
raise self.exc_val.with_traceback(self.tb)
File "/usr/lib/python3/dist-packages/nose/plugins/manager.py", line 154, in generate
for r in result:
File "/usr/lib/python3/dist-packages/nose/plugins/doctests.py", line 264, in loadTestsFromFile
doc = dh.read()
File "/usr/lib/python3.6/encodings/ascii.py", line 26, in decode
return codecs.ascii_decode(input, self.errors)[0]
UnicodeDecodeError: 'ascii' codec can't decode byte 0xc3 in position 3266: ordinal not in range(128)
======================================================================
ERROR: Failure: UnicodeDecodeError ('ascii' codec can't decode byte 0xc3 in position 1266: ordinal not in range(128))
----------------------------------------------------------------------
Traceback (most recent call last):
File "/usr/lib/python3/dist-packages/nose/failure.py", line 39, in runTest
raise self.exc_val.with_traceback(self.tb)
File "/usr/lib/python3/dist-packages/nose/plugins/manager.py", line 154, in generate
for r in result:
File "/usr/lib/python3/dist-packages/nose/plugins/doctests.py", line 264, in loadTestsFromFile
doc = dh.read()
File "/usr/lib/python3.6/encodings/ascii.py", line 26, in decode
return codecs.ascii_decode(input, self.errors)[0]
UnicodeDecodeError: 'ascii' codec can't decode byte 0xc3 in position 1266: ordinal not in range(128)
----------------------------------------------------------------------
Ran 6 tests in 0.983s
FAILED (errors=5)
: # Explicit build system to avoid use of all-in-1 Makefile
dpkg: error: --compare-versions takes three arguments: <version> <relation> <version>
Type dpkg --help for help about installing and deinstalling packages [*];
Use 'apt' or 'aptitude' for user-friendly package management;
Type dpkg -Dhelp for a list of dpkg debug flag values;
Type dpkg --force-help for a list of forcing options;
Type dpkg-deb --help for help about manipulating *.deb files;
Options marked [*] produce a lot of output - pipe it through 'less' or 'more' !
dh override_dh_auto_install --buildsystem=python_distutils --with python2,python3,autoreconf
make[1]: Leaving directory '/<<PKGBUILDDIR>>'
dh_install -a -O--buildsystem=python_distutils
debian/rules override_dh_installdocs
make[1]: Entering directory '/<<PKGBUILDDIR>>'
Traceback (most recent call last):
File "<string>", line 1, in <module>
ImportError: No module named sphinx
py3versions: no X-Python3-Version in control file, using supported versions
py3versions: no X-Python3-Version in control file, using supported versions
dpkg: error: --compare-versions takes three arguments: <version> <relation> <version>
Type dpkg --help for help about installing and deinstalling packages [*];
Use 'apt' or 'aptitude' for user-friendly package management;
Type dpkg -Dhelp for a list of dpkg debug flag values;
Type dpkg --force-help for a list of forcing options;
Type dpkg-deb --help for help about manipulating *.deb files;
Options marked [*] produce a lot of output - pipe it through 'less' or 'more' !
dpkg: error: --compare-versions takes three arguments: <version> <relation> <version>
Type dpkg --help for help about installing and deinstalling packages [*];
Use 'apt' or 'aptitude' for user-friendly package management;
Type dpkg -Dhelp for a list of dpkg debug flag values;
Type dpkg --force-help for a list of forcing options;
Type dpkg-deb --help for help about manipulating *.deb files;
Options marked [*] produce a lot of output - pipe it through 'less' or 'more' !
: # Build Documentation using installed scikits.learn
dpkg: error: --compare-versions takes three arguments: <version> <relation> <version>
Type dpkg --help for help about installing and deinstalling packages [*];
Use 'apt' or 'aptitude' for user-friendly package management;
Type dpkg -Dhelp for a list of dpkg debug flag values;
Type dpkg --force-help for a list of forcing options;
Type dpkg-deb --help for help about manipulating *.deb files;
Options marked [*] produce a lot of output - pipe it through 'less' or 'more' !
: # not building documentation in -a
: # Use jquery from Debian package, so prune shipped one
rm doc/_build/html/stable/_static/jquery.js
rm: cannot remove 'doc/_build/html/stable/_static/jquery.js': No such file or directory
debian/rules:101: recipe for target 'override_dh_installdocs' failed
make[1]: [override_dh_installdocs] Error 1 (ignored)
rm doc/_build/html/stable/_static/underscore.js
rm: cannot remove 'doc/_build/html/stable/_static/underscore.js': No such file or directory
debian/rules:101: recipe for target 'override_dh_installdocs' failed
make[1]: [override_dh_installdocs] Error 1 (ignored)
dh_installdocs -A AUTHORS.rst README*.rst
make[1]: Leaving directory '/<<PKGBUILDDIR>>'
debian/rules override_dh_installchangelogs
make[1]: Entering directory '/<<PKGBUILDDIR>>'
Traceback (most recent call last):
File "<string>", line 1, in <module>
ImportError: No module named sphinx
py3versions: no X-Python3-Version in control file, using supported versions
py3versions: no X-Python3-Version in control file, using supported versions
dpkg: error: --compare-versions takes three arguments: <version> <relation> <version>
Type dpkg --help for help about installing and deinstalling packages [*];
Use 'apt' or 'aptitude' for user-friendly package management;
Type dpkg -Dhelp for a list of dpkg debug flag values;
Type dpkg --force-help for a list of forcing options;
Type dpkg-deb --help for help about manipulating *.deb files;
Options marked [*] produce a lot of output - pipe it through 'less' or 'more' !
dpkg: error: --compare-versions takes three arguments: <version> <relation> <version>
Type dpkg --help for help about installing and deinstalling packages [*];
Use 'apt' or 'aptitude' for user-friendly package management;
Type dpkg -Dhelp for a list of dpkg debug flag values;
Type dpkg --force-help for a list of forcing options;
Type dpkg-deb --help for help about manipulating *.deb files;
Options marked [*] produce a lot of output - pipe it through 'less' or 'more' !
dh_installchangelogs doc/whats_new.rst
dpkg: error: --compare-versions takes three arguments: <version> <relation> <version>
Type dpkg --help for help about installing and deinstalling packages [*];
Use 'apt' or 'aptitude' for user-friendly package management;
Type dpkg -Dhelp for a list of dpkg debug flag values;
Type dpkg --force-help for a list of forcing options;
Type dpkg-deb --help for help about manipulating *.deb files;
Options marked [*] produce a lot of output - pipe it through 'less' or 'more' !
make[1]: Leaving directory '/<<PKGBUILDDIR>>'
dh_installexamples -a -O--buildsystem=python_distutils
debian/rules override_dh_python2
make[1]: Entering directory '/<<PKGBUILDDIR>>'
Traceback (most recent call last):
File "<string>", line 1, in <module>
ImportError: No module named sphinx
py3versions: no X-Python3-Version in control file, using supported versions
py3versions: no X-Python3-Version in control file, using supported versions
dpkg: error: --compare-versions takes three arguments: <version> <relation> <version>
Type dpkg --help for help about installing and deinstalling packages [*];
Use 'apt' or 'aptitude' for user-friendly package management;
Type dpkg -Dhelp for a list of dpkg debug flag values;
Type dpkg --force-help for a list of forcing options;
Type dpkg-deb --help for help about manipulating *.deb files;
Options marked [*] produce a lot of output - pipe it through 'less' or 'more' !
dpkg: error: --compare-versions takes three arguments: <version> <relation> <version>
Type dpkg --help for help about installing and deinstalling packages [*];
Use 'apt' or 'aptitude' for user-friendly package management;
Type dpkg -Dhelp for a list of dpkg debug flag values;
Type dpkg --force-help for a list of forcing options;
Type dpkg-deb --help for help about manipulating *.deb files;
Options marked [*] produce a lot of output - pipe it through 'less' or 'more' !
[ ! -e debian/python-sklearn ] \
|| find debian/python-sklearn/usr/lib -name "*.so" -delete;
dpkg: error: --compare-versions takes three arguments: <version> <relation> <version>
Type dpkg --help for help about installing and deinstalling packages [*];
Use 'apt' or 'aptitude' for user-friendly package management;
Type dpkg -Dhelp for a list of dpkg debug flag values;
Type dpkg --force-help for a list of forcing options;
Type dpkg-deb --help for help about manipulating *.deb files;
Options marked [*] produce a lot of output - pipe it through 'less' or 'more' !
[ -e /usr/bin/dh_numpy ] && dh_numpy -ppython-sklearn-lib || :
: # Prune scikits/__init__.py to avoid conflicts
find debian -wholename \*scikits/__init__.py -delete
: # Move scikits. space into a compatibility package
if [ 2 -eq 2 ]; then \
set -e; \
find debian -wholename \*scikits -type d | while read skd; do \
skbd=$(dirname $skd); \
skbd_=$(echo $skbd | sed -e 's/sklearn/scikits-learn/g'); \
mkdir -p $skbd_; \
mv $skd $skbd_; \
done; \
fi
dh_python2
I: dh_python2 fs:329: renaming _isotonic.so to _isotonic.arm-linux-gnueabihf.so
I: dh_python2 fs:329: renaming _logistic_sigmoid.so to _logistic_sigmoid.arm-linux-gnueabihf.so
I: dh_python2 fs:329: renaming _random.so to _random.arm-linux-gnueabihf.so
I: dh_python2 fs:329: renaming arrayfuncs.so to arrayfuncs.arm-linux-gnueabihf.so
I: dh_python2 fs:329: renaming fast_dict.so to fast_dict.arm-linux-gnueabihf.so
I: dh_python2 fs:329: renaming graph_shortest_path.so to graph_shortest_path.arm-linux-gnueabihf.so
I: dh_python2 fs:329: renaming lgamma.so to lgamma.arm-linux-gnueabihf.so
I: dh_python2 fs:329: renaming murmurhash.so to murmurhash.arm-linux-gnueabihf.so
I: dh_python2 fs:329: renaming seq_dataset.so to seq_dataset.arm-linux-gnueabihf.so
I: dh_python2 fs:329: renaming sparsefuncs_fast.so to sparsefuncs_fast.arm-linux-gnueabihf.so
I: dh_python2 fs:329: renaming weight_vector.so to weight_vector.arm-linux-gnueabihf.so
I: dh_python2 fs:329: renaming _svmlight_format.so to _svmlight_format.arm-linux-gnueabihf.so
I: dh_python2 fs:329: renaming _check_build.so to _check_build.arm-linux-gnueabihf.so
I: dh_python2 fs:329: renaming liblinear.so to liblinear.arm-linux-gnueabihf.so
I: dh_python2 fs:329: renaming libsvm.so to libsvm.arm-linux-gnueabihf.so
I: dh_python2 fs:329: renaming libsvm_sparse.so to libsvm_sparse.arm-linux-gnueabihf.so
I: dh_python2 fs:329: renaming _online_lda.so to _online_lda.arm-linux-gnueabihf.so
I: dh_python2 fs:329: renaming cdnmf_fast.so to cdnmf_fast.arm-linux-gnueabihf.so
I: dh_python2 fs:329: renaming cd_fast.so to cd_fast.arm-linux-gnueabihf.so
I: dh_python2 fs:329: renaming sag_fast.so to sag_fast.arm-linux-gnueabihf.so
I: dh_python2 fs:329: renaming sgd_fast.so to sgd_fast.arm-linux-gnueabihf.so
I: dh_python2 fs:329: renaming pairwise_fast.so to pairwise_fast.arm-linux-gnueabihf.so
I: dh_python2 fs:329: renaming expected_mutual_info_fast.so to expected_mutual_info_fast.arm-linux-gnueabihf.so
I: dh_python2 fs:329: renaming ball_tree.so to ball_tree.arm-linux-gnueabihf.so
I: dh_python2 fs:329: renaming dist_metrics.so to dist_metrics.arm-linux-gnueabihf.so
I: dh_python2 fs:329: renaming kd_tree.so to kd_tree.arm-linux-gnueabihf.so
I: dh_python2 fs:329: renaming quad_tree.so to quad_tree.arm-linux-gnueabihf.so
I: dh_python2 fs:329: renaming typedefs.so to typedefs.arm-linux-gnueabihf.so
I: dh_python2 fs:329: renaming _barnes_hut_tsne.so to _barnes_hut_tsne.arm-linux-gnueabihf.so
I: dh_python2 fs:329: renaming _utils.so to _utils.arm-linux-gnueabihf.so
I: dh_python2 fs:329: renaming _dbscan_inner.so to _dbscan_inner.arm-linux-gnueabihf.so
I: dh_python2 fs:329: renaming _hierarchical.so to _hierarchical.arm-linux-gnueabihf.so
I: dh_python2 fs:329: renaming _k_means.so to _k_means.arm-linux-gnueabihf.so
I: dh_python2 fs:329: renaming _k_means_elkan.so to _k_means_elkan.arm-linux-gnueabihf.so
I: dh_python2 fs:329: renaming _hashing.so to _hashing.arm-linux-gnueabihf.so
I: dh_python2 fs:329: renaming _criterion.so to _criterion.arm-linux-gnueabihf.so
I: dh_python2 fs:329: renaming _splitter.so to _splitter.arm-linux-gnueabihf.so
I: dh_python2 fs:329: renaming _tree.so to _tree.arm-linux-gnueabihf.so
I: dh_python2 fs:329: renaming _utils.so to _utils.arm-linux-gnueabihf.so
I: dh_python2 fs:329: renaming _gradient_boosting.so to _gradient_boosting.arm-linux-gnueabihf.so
: # Explicit build system to avoid use of all-in-1 Makefile
dpkg: error: --compare-versions takes three arguments: <version> <relation> <version>
Type dpkg --help for help about installing and deinstalling packages [*];
Use 'apt' or 'aptitude' for user-friendly package management;
Type dpkg -Dhelp for a list of dpkg debug flag values;
Type dpkg --force-help for a list of forcing options;
Type dpkg-deb --help for help about manipulating *.deb files;
Options marked [*] produce a lot of output - pipe it through 'less' or 'more' !
dh override_dh_python2 --buildsystem=python_distutils --with python2,python3,autoreconf
make[1]: Leaving directory '/<<PKGBUILDDIR>>'
debian/rules override_dh_python3
make[1]: Entering directory '/<<PKGBUILDDIR>>'
Traceback (most recent call last):
File "<string>", line 1, in <module>
ImportError: No module named sphinx
py3versions: no X-Python3-Version in control file, using supported versions
py3versions: no X-Python3-Version in control file, using supported versions
dpkg: error: --compare-versions takes three arguments: <version> <relation> <version>
Type dpkg --help for help about installing and deinstalling packages [*];
Use 'apt' or 'aptitude' for user-friendly package management;
Type dpkg -Dhelp for a list of dpkg debug flag values;
Type dpkg --force-help for a list of forcing options;
Type dpkg-deb --help for help about manipulating *.deb files;
Options marked [*] produce a lot of output - pipe it through 'less' or 'more' !
dpkg: error: --compare-versions takes three arguments: <version> <relation> <version>
Type dpkg --help for help about installing and deinstalling packages [*];
Use 'apt' or 'aptitude' for user-friendly package management;
Type dpkg -Dhelp for a list of dpkg debug flag values;
Type dpkg --force-help for a list of forcing options;
Type dpkg-deb --help for help about manipulating *.deb files;
Options marked [*] produce a lot of output - pipe it through 'less' or 'more' !
[ ! -e debian/python3-sklearn ] \
|| find debian/python3-sklearn/usr/lib -name "*.so" -delete;
dpkg: error: --compare-versions takes three arguments: <version> <relation> <version>
Type dpkg --help for help about installing and deinstalling packages [*];
Use 'apt' or 'aptitude' for user-friendly package management;
Type dpkg -Dhelp for a list of dpkg debug flag values;
Type dpkg --force-help for a list of forcing options;
Type dpkg-deb --help for help about manipulating *.deb files;
Options marked [*] produce a lot of output - pipe it through 'less' or 'more' !
[ -e /usr/bin/dh_numpy3 ] && dh_numpy3 -ppython3-sklearn-lib || :
: # Prune scikits/__init__.py to avoid conflicts
find debian -wholename \*scikits/__init__.py -delete
: # Move scikits. space into a compatibility package
if [ 3 -eq 2 ]; then \
set -e; \
find debian -wholename \*scikits -type d | while read skd; do \
skbd=$(dirname $skd); \
skbd_=$(echo $skbd | sed -e 's/sklearn/scikits-learn/g'); \
mkdir -p $skbd_; \
mv $skd $skbd_; \
done; \
fi
dh_python3
: # Explicit build system to avoid use of all-in-1 Makefile
dpkg: error: --compare-versions takes three arguments: <version> <relation> <version>
Type dpkg --help for help about installing and deinstalling packages [*];
Use 'apt' or 'aptitude' for user-friendly package management;
Type dpkg -Dhelp for a list of dpkg debug flag values;
Type dpkg --force-help for a list of forcing options;
Type dpkg-deb --help for help about manipulating *.deb files;
Options marked [*] produce a lot of output - pipe it through 'less' or 'more' !
dh override_dh_python3 --buildsystem=python_distutils --with python2,python3,autoreconf
make[1]: Leaving directory '/<<PKGBUILDDIR>>'
dh_perl -a -O--buildsystem=python_distutils
dh_link -a -O--buildsystem=python_distutils
dh_strip_nondeterminism -a -O--buildsystem=python_distutils
debian/rules override_dh_compress
make[1]: Entering directory '/<<PKGBUILDDIR>>'
Traceback (most recent call last):
File "<string>", line 1, in <module>
ImportError: No module named sphinx
py3versions: no X-Python3-Version in control file, using supported versions
py3versions: no X-Python3-Version in control file, using supported versions
dpkg: error: --compare-versions takes three arguments: <version> <relation> <version>
Type dpkg --help for help about installing and deinstalling packages [*];
Use 'apt' or 'aptitude' for user-friendly package management;
Type dpkg -Dhelp for a list of dpkg debug flag values;
Type dpkg --force-help for a list of forcing options;
Type dpkg-deb --help for help about manipulating *.deb files;
Options marked [*] produce a lot of output - pipe it through 'less' or 'more' !
dpkg: error: --compare-versions takes three arguments: <version> <relation> <version>
Type dpkg --help for help about installing and deinstalling packages [*];
Use 'apt' or 'aptitude' for user-friendly package management;
Type dpkg -Dhelp for a list of dpkg debug flag values;
Type dpkg --force-help for a list of forcing options;
Type dpkg-deb --help for help about manipulating *.deb files;
Options marked [*] produce a lot of output - pipe it through 'less' or 'more' !
dh_compress -X.py -X.html -X.pdf -X.css -X.jpg -X.txt -X.js -X.json -X.rtc -Xobjects.inv
dpkg: error: --compare-versions takes three arguments: <version> <relation> <version>
Type dpkg --help for help about installing and deinstalling packages [*];
Use 'apt' or 'aptitude' for user-friendly package management;
Type dpkg -Dhelp for a list of dpkg debug flag values;
Type dpkg --force-help for a list of forcing options;
Type dpkg-deb --help for help about manipulating *.deb files;
Options marked [*] produce a lot of output - pipe it through 'less' or 'more' !
make[1]: Leaving directory '/<<PKGBUILDDIR>>'
dh_fixperms -a -O--buildsystem=python_distutils
dh_missing -a -O--buildsystem=python_distutils
dh_strip -a -O--buildsystem=python_distutils
dh_makeshlibs -a -O--buildsystem=python_distutils
dh_shlibdeps -a -O--buildsystem=python_distutils
dh_installdeb -a -O--buildsystem=python_distutils
dh_gencontrol -a -O--buildsystem=python_distutils
dpkg-gencontrol: warning: Provides field of package python3-sklearn-lib: unknown substitution variable ${python:Provides}
dpkg-gencontrol: warning: package python3-sklearn-lib: unused substitution variable ${python3:Provides}
dpkg-gencontrol: warning: package python3-sklearn-lib: unused substitution variable ${python3:Versions}
dpkg-gencontrol: warning: package python-sklearn-lib: unused substitution variable ${python:Versions}
dpkg-gencontrol: warning: Provides field of package python3-sklearn-lib: unknown substitution variable ${python:Provides}
dpkg-gencontrol: warning: package python3-sklearn-lib: unused substitution variable ${python3:Provides}
dpkg-gencontrol: warning: package python3-sklearn-lib: unused substitution variable ${python3:Versions}
dpkg-gencontrol: warning: package python-sklearn-lib: unused substitution variable ${python:Versions}
dh_md5sums -a -O--buildsystem=python_distutils
dh_builddeb -a -O--buildsystem=python_distutils
dpkg-deb: building package 'python-sklearn-lib-dbgsym' in '../python-sklearn-lib-dbgsym_0.19.2-1_armhf.deb'.
dpkg-deb: building package 'python3-sklearn-lib-dbgsym' in '../python3-sklearn-lib-dbgsym_0.19.2-1_armhf.deb'.
dpkg-deb: building package 'python3-sklearn-lib' in '../python3-sklearn-lib_0.19.2-1_armhf.deb'.
dpkg-deb: building package 'python-sklearn-lib' in '../python-sklearn-lib_0.19.2-1_armhf.deb'.
dpkg-genbuildinfo --build=any
dpkg-genchanges --build=any -mRaspbian mythic lxc autobuilder 1 <root@raspbian.org> >../scikit-learn_0.19.2-1_armhf.changes
dpkg-genchanges: info: binary-only arch-specific upload (source code and arch-indep packages not included)
dpkg-source --after-build scikit-learn-0.19.2
dpkg-buildpackage: info: binary-only upload (no source included)
--------------------------------------------------------------------------------
Build finished at 2018-08-02T07:55:27Z
Finished
--------
I: Built successfully
+------------------------------------------------------------------------------+
| Post Build Chroot |
+------------------------------------------------------------------------------+
+------------------------------------------------------------------------------+
| Changes |
+------------------------------------------------------------------------------+
scikit-learn_0.19.2-1_armhf.changes:
------------------------------------
Format: 1.8
Date: Thu, 26 Jul 2018 10:12:10 -0400
Source: scikit-learn
Binary: python-sklearn python-sklearn-lib python3-sklearn python3-sklearn-lib python-sklearn-doc
Architecture: armhf
Version: 0.19.2-1
Distribution: buster-staging
Urgency: medium
Maintainer: Raspbian mythic lxc autobuilder 1 <root@raspbian.org>
Changed-By: Yaroslav Halchenko <debian@onerussian.com>
Description:
python-sklearn - Python modules for machine learning and data mining
python-sklearn-doc - documentation and examples for scikit-learn
python-sklearn-lib - low-level implementations and bindings for scikit-learn
python3-sklearn - Python modules for machine learning and data mining
python3-sklearn-lib - low-level implementations and bindings for scikit-learn - Python
Closes: 878863 904636
Changes:
scikit-learn (0.19.2-1) unstable; urgency=medium
.
* Fresh upstream bugfix release (Closes: #904636)
- supports Python 3.7
* debian/control
- removed transitional python-scikits-learn (Closes: #878863)
Checksums-Sha1:
87e952e67969ff5efd585f476ffbae2af682888d 5733604 python-sklearn-lib-dbgsym_0.19.2-1_armhf.deb
1daab3677466a410dea94637cb12acbfd94e8bf0 1294256 python-sklearn-lib_0.19.2-1_armhf.deb
7be039fe38e8c5e49eaa57d4bffdc8f814bb3aba 6086084 python3-sklearn-lib-dbgsym_0.19.2-1_armhf.deb
121f3a9732d23c0d4fc36113df79c28995d26202 1214148 python3-sklearn-lib_0.19.2-1_armhf.deb
cb658baff63c3623a4c140bfac1fc0d2ef004da6 8387 scikit-learn_0.19.2-1_armhf.buildinfo
Checksums-Sha256:
847578fb34e677eeb89b9eaedff9a82210f1c892f7cbb56b0a9ba7e15ac4eff7 5733604 python-sklearn-lib-dbgsym_0.19.2-1_armhf.deb
bff3e4ae9d61dece33496e46b8209b2800e321c0f7422b6ff9d697233a7028e3 1294256 python-sklearn-lib_0.19.2-1_armhf.deb
e2289bf07b051691447c951f0d2802194a424cff047849a706bb1188476d004c 6086084 python3-sklearn-lib-dbgsym_0.19.2-1_armhf.deb
84ef914e272945a232932f9e255d2ab08b390ea694437dfb3f5aaf6e3351eb04 1214148 python3-sklearn-lib_0.19.2-1_armhf.deb
97f6b67699a7342300162f658e9d45a35ea7488bd5d691055f1b4ca17b83ea93 8387 scikit-learn_0.19.2-1_armhf.buildinfo
Files:
9fe7b449b7b688b2eded2b12b6848e1d 5733604 debug optional python-sklearn-lib-dbgsym_0.19.2-1_armhf.deb
67db0d9f68d591fc50c494671bbdf62e 1294256 python optional python-sklearn-lib_0.19.2-1_armhf.deb
9023e1f034af34afa6abe605f8ecca5b 6086084 debug optional python3-sklearn-lib-dbgsym_0.19.2-1_armhf.deb
b630457e9be4f74fb358ec462cfda077 1214148 python optional python3-sklearn-lib_0.19.2-1_armhf.deb
1b4e986fe62391f3b37b4d09562c1a88 8387 python optional scikit-learn_0.19.2-1_armhf.buildinfo
+------------------------------------------------------------------------------+
| Package contents |
+------------------------------------------------------------------------------+
python-sklearn-lib-dbgsym_0.19.2-1_armhf.deb
--------------------------------------------
new Debian package, version 2.0.
size 5733604 bytes: control archive=2352 bytes.
1978 bytes, 12 lines control
4240 bytes, 40 lines md5sums
Package: python-sklearn-lib-dbgsym
Source: scikit-learn
Version: 0.19.2-1
Auto-Built-Package: debug-symbols
Architecture: armhf
Maintainer: NeuroDebian Team <team@neuro.debian.net>
Installed-Size: 6667
Depends: python-sklearn-lib (= 0.19.2-1)
Section: debug
Priority: optional
Description: debug symbols for python-sklearn-lib
Build-Ids: 01914c9e5fa562c7359b3451985ded42421c3a0f 153be98d3604949c55bc2df045dc6bff374c2893 18dbb80e5e7c953376fe08592ced78c1bd173e7b 2d1f4134448ed0ae169e5fb5072433478ab01661 320432f77a68e017888c6c6d1b2105f24de7dd78 3dff53602716ddafee84c7e2d9847187a9e1d378 408f130c64fcf4b9f9992accafe20024d357279a 48b74de52ed4129bab7fe1f103af5c72feed37bf 4d3688d0e49afb0b94eac635592f9f0de3b38458 5638b180b290cbd857a7e3affbab56f5fdc7375a 5744c396d7f6ec47c6ef29d6b03a8a289560abd6 5a6cbd56f031ba3a73bd658397841574d89e6dd1 5a9ebdc4cdabf995179b5df699acad7af36d8252 5b6f8ec79a6fb1380125f9f863187d3b475101a5 655e4d0ec3d2a3024a9ea399018e2b1be4f0128f 679e15a163547dc840fc4faceef171ab26576e1e 6a48c430ec0a5ef02b56bb661e2ced57a4ed183d 726fee06f2e05924f42444f2eab3c7ca02d72156 81ab8fb6608e6e7dab44ccb98dea49764fa7bd7a 886a4b10bb9139b4f02b46130e33d990e14e24b2 8b9265a3bfcfa708857b627f61692ef43bbca2ae 8e4431b88cd46ff0248340e99057beb4b3436150 9081c237224928e1c1b5a66b8295c7f1f637d006 9cc1febe0b28e6e255813e0907649cd2280c5ab0 a0089500cadc2299649ce477dae9c54c0300299b a35366b33f70757694beb1eaf8cf378f83247b02 a59714ccd35f9a23d72c146d538c92ef5e5e778d ad68c798dc67990414a8f419ab5b289c866f48de b15de9dd5c1bc11af6873303c80f60cd44d22f28 b19fcaee87b4b2ff287e686280bebbfe8e190d27 b658881bb5eb9cfe34f500da16a66163e1115d8f b9718822afecc4d1379ef61be591a08b3d6e2bec d06eed8232cbd1ab46c327d7df2cb36642833a4f d5f30555ce6d1a350278ccf34dd5d3488584dec0 db43c60585b24964d5251c8db348f6c1b930c89e ea65d051eb71ddfcbffef9cfba657cbdeab3c1bd ec59ddfb87b66fee93b4fc09e8a50304a15f31e5 f0baa9ac4db46f2d2983aeedc3ed3eb1963c2f59 f5215004008777878521e595e41ae0fa0333c608 fac231031ffa87ab0f10e680bc3e6f763e5e02a3
drwxr-xr-x root/root 0 2018-07-26 14:12 ./
drwxr-xr-x root/root 0 2018-07-26 14:12 ./usr/
drwxr-xr-x root/root 0 2018-07-26 14:12 ./usr/lib/
drwxr-xr-x root/root 0 2018-07-26 14:12 ./usr/lib/debug/
drwxr-xr-x root/root 0 2018-07-26 14:12 ./usr/lib/debug/.build-id/
drwxr-xr-x root/root 0 2018-07-26 14:12 ./usr/lib/debug/.build-id/01/
-rw-r--r-- root/root 213980 2018-07-26 14:12 ./usr/lib/debug/.build-id/01/914c9e5fa562c7359b3451985ded42421c3a0f.debug
drwxr-xr-x root/root 0 2018-07-26 14:12 ./usr/lib/debug/.build-id/15/
-rw-r--r-- root/root 110960 2018-07-26 14:12 ./usr/lib/debug/.build-id/15/3be98d3604949c55bc2df045dc6bff374c2893.debug
drwxr-xr-x root/root 0 2018-07-26 14:12 ./usr/lib/debug/.build-id/18/
-rw-r--r-- root/root 56076 2018-07-26 14:12 ./usr/lib/debug/.build-id/18/dbb80e5e7c953376fe08592ced78c1bd173e7b.debug
drwxr-xr-x root/root 0 2018-07-26 14:12 ./usr/lib/debug/.build-id/2d/
-rw-r--r-- root/root 259148 2018-07-26 14:12 ./usr/lib/debug/.build-id/2d/1f4134448ed0ae169e5fb5072433478ab01661.debug
drwxr-xr-x root/root 0 2018-07-26 14:12 ./usr/lib/debug/.build-id/32/
-rw-r--r-- root/root 69628 2018-07-26 14:12 ./usr/lib/debug/.build-id/32/0432f77a68e017888c6c6d1b2105f24de7dd78.debug
drwxr-xr-x root/root 0 2018-07-26 14:12 ./usr/lib/debug/.build-id/3d/
-rw-r--r-- root/root 66972 2018-07-26 14:12 ./usr/lib/debug/.build-id/3d/ff53602716ddafee84c7e2d9847187a9e1d378.debug
drwxr-xr-x root/root 0 2018-07-26 14:12 ./usr/lib/debug/.build-id/40/
-rw-r--r-- root/root 70740 2018-07-26 14:12 ./usr/lib/debug/.build-id/40/8f130c64fcf4b9f9992accafe20024d357279a.debug
drwxr-xr-x root/root 0 2018-07-26 14:12 ./usr/lib/debug/.build-id/48/
-rw-r--r-- root/root 58624 2018-07-26 14:12 ./usr/lib/debug/.build-id/48/b74de52ed4129bab7fe1f103af5c72feed37bf.debug
drwxr-xr-x root/root 0 2018-07-26 14:12 ./usr/lib/debug/.build-id/4d/
-rw-r--r-- root/root 19084 2018-07-26 14:12 ./usr/lib/debug/.build-id/4d/3688d0e49afb0b94eac635592f9f0de3b38458.debug
drwxr-xr-x root/root 0 2018-07-26 14:12 ./usr/lib/debug/.build-id/56/
-rw-r--r-- root/root 400716 2018-07-26 14:12 ./usr/lib/debug/.build-id/56/38b180b290cbd857a7e3affbab56f5fdc7375a.debug
drwxr-xr-x root/root 0 2018-07-26 14:12 ./usr/lib/debug/.build-id/57/
-rw-r--r-- root/root 299220 2018-07-26 14:12 ./usr/lib/debug/.build-id/57/44c396d7f6ec47c6ef29d6b03a8a289560abd6.debug
drwxr-xr-x root/root 0 2018-07-26 14:12 ./usr/lib/debug/.build-id/5a/
-rw-r--r-- root/root 270568 2018-07-26 14:12 ./usr/lib/debug/.build-id/5a/6cbd56f031ba3a73bd658397841574d89e6dd1.debug
-rw-r--r-- root/root 79160 2018-07-26 14:12 ./usr/lib/debug/.build-id/5a/9ebdc4cdabf995179b5df699acad7af36d8252.debug
drwxr-xr-x root/root 0 2018-07-26 14:12 ./usr/lib/debug/.build-id/5b/
-rw-r--r-- root/root 25148 2018-07-26 14:12 ./usr/lib/debug/.build-id/5b/6f8ec79a6fb1380125f9f863187d3b475101a5.debug
drwxr-xr-x root/root 0 2018-07-26 14:12 ./usr/lib/debug/.build-id/65/
-rw-r--r-- root/root 96716 2018-07-26 14:12 ./usr/lib/debug/.build-id/65/5e4d0ec3d2a3024a9ea399018e2b1be4f0128f.debug
drwxr-xr-x root/root 0 2018-07-26 14:12 ./usr/lib/debug/.build-id/67/
-rw-r--r-- root/root 110180 2018-07-26 14:12 ./usr/lib/debug/.build-id/67/9e15a163547dc840fc4faceef171ab26576e1e.debug
drwxr-xr-x root/root 0 2018-07-26 14:12 ./usr/lib/debug/.build-id/6a/
-rw-r--r-- root/root 93012 2018-07-26 14:12 ./usr/lib/debug/.build-id/6a/48c430ec0a5ef02b56bb661e2ced57a4ed183d.debug
drwxr-xr-x root/root 0 2018-07-26 14:12 ./usr/lib/debug/.build-id/72/
-rw-r--r-- root/root 162360 2018-07-26 14:12 ./usr/lib/debug/.build-id/72/6fee06f2e05924f42444f2eab3c7ca02d72156.debug
drwxr-xr-x root/root 0 2018-07-26 14:12 ./usr/lib/debug/.build-id/81/
-rw-r--r-- root/root 378428 2018-07-26 14:12 ./usr/lib/debug/.build-id/81/ab8fb6608e6e7dab44ccb98dea49764fa7bd7a.debug
drwxr-xr-x root/root 0 2018-07-26 14:12 ./usr/lib/debug/.build-id/88/
-rw-r--r-- root/root 226140 2018-07-26 14:12 ./usr/lib/debug/.build-id/88/6a4b10bb9139b4f02b46130e33d990e14e24b2.debug
drwxr-xr-x root/root 0 2018-07-26 14:12 ./usr/lib/debug/.build-id/8b/
-rw-r--r-- root/root 391192 2018-07-26 14:12 ./usr/lib/debug/.build-id/8b/9265a3bfcfa708857b627f61692ef43bbca2ae.debug
drwxr-xr-x root/root 0 2018-07-26 14:12 ./usr/lib/debug/.build-id/8e/
-rw-r--r-- root/root 57636 2018-07-26 14:12 ./usr/lib/debug/.build-id/8e/4431b88cd46ff0248340e99057beb4b3436150.debug
drwxr-xr-x root/root 0 2018-07-26 14:12 ./usr/lib/debug/.build-id/90/
-rw-r--r-- root/root 401968 2018-07-26 14:12 ./usr/lib/debug/.build-id/90/81c237224928e1c1b5a66b8295c7f1f637d006.debug
drwxr-xr-x root/root 0 2018-07-26 14:12 ./usr/lib/debug/.build-id/9c/
-rw-r--r-- root/root 231068 2018-07-26 14:12 ./usr/lib/debug/.build-id/9c/c1febe0b28e6e255813e0907649cd2280c5ab0.debug
drwxr-xr-x root/root 0 2018-07-26 14:12 ./usr/lib/debug/.build-id/a0/
-rw-r--r-- root/root 95668 2018-07-26 14:12 ./usr/lib/debug/.build-id/a0/089500cadc2299649ce477dae9c54c0300299b.debug
drwxr-xr-x root/root 0 2018-07-26 14:12 ./usr/lib/debug/.build-id/a3/
-rw-r--r-- root/root 25120 2018-07-26 14:12 ./usr/lib/debug/.build-id/a3/5366b33f70757694beb1eaf8cf378f83247b02.debug
drwxr-xr-x root/root 0 2018-07-26 14:12 ./usr/lib/debug/.build-id/a5/
-rw-r--r-- root/root 204976 2018-07-26 14:12 ./usr/lib/debug/.build-id/a5/9714ccd35f9a23d72c146d538c92ef5e5e778d.debug
drwxr-xr-x root/root 0 2018-07-26 14:12 ./usr/lib/debug/.build-id/ad/
-rw-r--r-- root/root 132276 2018-07-26 14:12 ./usr/lib/debug/.build-id/ad/68c798dc67990414a8f419ab5b289c866f48de.debug
drwxr-xr-x root/root 0 2018-07-26 14:12 ./usr/lib/debug/.build-id/b1/
-rw-r--r-- root/root 182812 2018-07-26 14:12 ./usr/lib/debug/.build-id/b1/5de9dd5c1bc11af6873303c80f60cd44d22f28.debug
-rw-r--r-- root/root 94944 2018-07-26 14:12 ./usr/lib/debug/.build-id/b1/9fcaee87b4b2ff287e686280bebbfe8e190d27.debug
drwxr-xr-x root/root 0 2018-07-26 14:12 ./usr/lib/debug/.build-id/b6/
-rw-r--r-- root/root 395440 2018-07-26 14:12 ./usr/lib/debug/.build-id/b6/58881bb5eb9cfe34f500da16a66163e1115d8f.debug
drwxr-xr-x root/root 0 2018-07-26 14:12 ./usr/lib/debug/.build-id/b9/
-rw-r--r-- root/root 99152 2018-07-26 14:12 ./usr/lib/debug/.build-id/b9/718822afecc4d1379ef61be591a08b3d6e2bec.debug
drwxr-xr-x root/root 0 2018-07-26 14:12 ./usr/lib/debug/.build-id/d0/
-rw-r--r-- root/root 285912 2018-07-26 14:12 ./usr/lib/debug/.build-id/d0/6eed8232cbd1ab46c327d7df2cb36642833a4f.debug
drwxr-xr-x root/root 0 2018-07-26 14:12 ./usr/lib/debug/.build-id/d5/
-rw-r--r-- root/root 81428 2018-07-26 14:12 ./usr/lib/debug/.build-id/d5/f30555ce6d1a350278ccf34dd5d3488584dec0.debug
drwxr-xr-x root/root 0 2018-07-26 14:12 ./usr/lib/debug/.build-id/db/
-rw-r--r-- root/root 234176 2018-07-26 14:12 ./usr/lib/debug/.build-id/db/43c60585b24964d5251c8db348f6c1b930c89e.debug
drwxr-xr-x root/root 0 2018-07-26 14:12 ./usr/lib/debug/.build-id/ea/
-rw-r--r-- root/root 109416 2018-07-26 14:12 ./usr/lib/debug/.build-id/ea/65d051eb71ddfcbffef9cfba657cbdeab3c1bd.debug
drwxr-xr-x root/root 0 2018-07-26 14:12 ./usr/lib/debug/.build-id/ec/
-rw-r--r-- root/root 209180 2018-07-26 14:12 ./usr/lib/debug/.build-id/ec/59ddfb87b66fee93b4fc09e8a50304a15f31e5.debug
drwxr-xr-x root/root 0 2018-07-26 14:12 ./usr/lib/debug/.build-id/f0/
-rw-r--r-- root/root 125480 2018-07-26 14:12 ./usr/lib/debug/.build-id/f0/baa9ac4db46f2d2983aeedc3ed3eb1963c2f59.debug
drwxr-xr-x root/root 0 2018-07-26 14:12 ./usr/lib/debug/.build-id/f5/
-rw-r--r-- root/root 195084 2018-07-26 14:12 ./usr/lib/debug/.build-id/f5/215004008777878521e595e41ae0fa0333c608.debug
drwxr-xr-x root/root 0 2018-07-26 14:12 ./usr/lib/debug/.build-id/fa/
-rw-r--r-- root/root 137232 2018-07-26 14:12 ./usr/lib/debug/.build-id/fa/c231031ffa87ab0f10e680bc3e6f763e5e02a3.debug
drwxr-xr-x root/root 0 2018-07-26 14:12 ./usr/share/
drwxr-xr-x root/root 0 2018-07-26 14:12 ./usr/share/doc/
lrwxrwxrwx root/root 0 2018-07-26 14:12 ./usr/share/doc/python-sklearn-lib-dbgsym -> python-sklearn-lib
python-sklearn-lib_0.19.2-1_armhf.deb
-------------------------------------
new Debian package, version 2.0.
size 1294256 bytes: control archive=2108 bytes.
742 bytes, 17 lines control
5094 bytes, 45 lines md5sums
Package: python-sklearn-lib
Source: scikit-learn
Version: 0.19.2-1
Architecture: armhf
Maintainer: NeuroDebian Team <team@neuro.debian.net>
Installed-Size: 6260
Depends: libc6 (>= 2.4), libgcc1 (>= 1:3.5), libstdc++6 (>= 5.2), python-numpy (>= 1:1.14.3), python-numpy-abi9, python (<< 2.8), python (>= 2.7~), python:any (<< 2.8), python:any (>= 2.7~)
Conflicts: python-scikits-learn-lib
Replaces: python-scikits-learn-lib
Provides: python2.7-sklearn-lib
Section: python
Priority: optional
Homepage: http://scikit-learn.sourceforge.net
Description: low-level implementations and bindings for scikit-learn
This is an add-on package for python-sklearn. It provides
low-level implementations and custom Python bindings for the LIBSVM
library.
drwxr-xr-x root/root 0 2018-07-26 14:12 ./
drwxr-xr-x root/root 0 2018-07-26 14:12 ./usr/
drwxr-xr-x root/root 0 2018-07-26 14:12 ./usr/lib/
drwxr-xr-x root/root 0 2018-07-26 14:12 ./usr/lib/python2.7/
drwxr-xr-x root/root 0 2018-07-26 14:12 ./usr/lib/python2.7/dist-packages/
drwxr-xr-x root/root 0 2018-07-26 14:12 ./usr/lib/python2.7/dist-packages/sklearn/
drwxr-xr-x root/root 0 2018-07-26 14:12 ./usr/lib/python2.7/dist-packages/sklearn/__check_build/
-rw-r--r-- root/root 9788 2018-07-26 14:12 ./usr/lib/python2.7/dist-packages/sklearn/__check_build/_check_build.arm-linux-gnueabihf.so
-rw-r--r-- root/root 170508 2018-07-26 14:12 ./usr/lib/python2.7/dist-packages/sklearn/_isotonic.arm-linux-gnueabihf.so
drwxr-xr-x root/root 0 2018-07-26 14:12 ./usr/lib/python2.7/dist-packages/sklearn/cluster/
-rw-r--r-- root/root 51832 2018-07-26 14:12 ./usr/lib/python2.7/dist-packages/sklearn/cluster/_dbscan_inner.arm-linux-gnueabihf.so
-rw-r--r-- root/root 202936 2018-07-26 14:12 ./usr/lib/python2.7/dist-packages/sklearn/cluster/_hierarchical.arm-linux-gnueabihf.so
-rw-r--r-- root/root 379864 2018-07-26 14:12 ./usr/lib/python2.7/dist-packages/sklearn/cluster/_k_means.arm-linux-gnueabihf.so
-rw-r--r-- root/root 283416 2018-07-26 14:12 ./usr/lib/python2.7/dist-packages/sklearn/cluster/_k_means_elkan.arm-linux-gnueabihf.so
drwxr-xr-x root/root 0 2018-07-26 14:12 ./usr/lib/python2.7/dist-packages/sklearn/datasets/
-rw-r--r-- root/root 72984 2018-07-26 14:12 ./usr/lib/python2.7/dist-packages/sklearn/datasets/_svmlight_format.arm-linux-gnueabihf.so
drwxr-xr-x root/root 0 2018-07-26 14:12 ./usr/lib/python2.7/dist-packages/sklearn/decomposition/
-rw-r--r-- root/root 60756 2018-07-26 14:12 ./usr/lib/python2.7/dist-packages/sklearn/decomposition/_online_lda.arm-linux-gnueabihf.so
-rw-r--r-- root/root 140900 2018-07-26 14:12 ./usr/lib/python2.7/dist-packages/sklearn/decomposition/cdnmf_fast.arm-linux-gnueabihf.so
drwxr-xr-x root/root 0 2018-07-26 14:12 ./usr/lib/python2.7/dist-packages/sklearn/ensemble/
-rw-r--r-- root/root 202332 2018-07-26 14:12 ./usr/lib/python2.7/dist-packages/sklearn/ensemble/_gradient_boosting.arm-linux-gnueabihf.so
drwxr-xr-x root/root 0 2018-07-26 14:12 ./usr/lib/python2.7/dist-packages/sklearn/feature_extraction/
-rw-r--r-- root/root 47980 2018-07-26 14:12 ./usr/lib/python2.7/dist-packages/sklearn/feature_extraction/_hashing.arm-linux-gnueabihf.so
drwxr-xr-x root/root 0 2018-07-26 14:12 ./usr/lib/python2.7/dist-packages/sklearn/linear_model/
-rw-r--r-- root/root 358836 2018-07-26 14:12 ./usr/lib/python2.7/dist-packages/sklearn/linear_model/cd_fast.arm-linux-gnueabihf.so
-rw-r--r-- root/root 99320 2018-07-26 14:12 ./usr/lib/python2.7/dist-packages/sklearn/linear_model/sag_fast.arm-linux-gnueabihf.so
-rw-r--r-- root/root 176560 2018-07-26 14:12 ./usr/lib/python2.7/dist-packages/sklearn/linear_model/sgd_fast.arm-linux-gnueabihf.so
drwxr-xr-x root/root 0 2018-07-26 14:12 ./usr/lib/python2.7/dist-packages/sklearn/manifold/
-rw-r--r-- root/root 186496 2018-07-26 14:12 ./usr/lib/python2.7/dist-packages/sklearn/manifold/_barnes_hut_tsne.arm-linux-gnueabihf.so
-rw-r--r-- root/root 60820 2018-07-26 14:12 ./usr/lib/python2.7/dist-packages/sklearn/manifold/_utils.arm-linux-gnueabihf.so
drwxr-xr-x root/root 0 2018-07-26 14:12 ./usr/lib/python2.7/dist-packages/sklearn/metrics/
drwxr-xr-x root/root 0 2018-07-26 14:12 ./usr/lib/python2.7/dist-packages/sklearn/metrics/cluster/
-rw-r--r-- root/root 109940 2018-07-26 14:12 ./usr/lib/python2.7/dist-packages/sklearn/metrics/cluster/expected_mutual_info_fast.arm-linux-gnueabihf.so
-rw-r--r-- root/root 208768 2018-07-26 14:12 ./usr/lib/python2.7/dist-packages/sklearn/metrics/pairwise_fast.arm-linux-gnueabihf.so
drwxr-xr-x root/root 0 2018-07-26 14:12 ./usr/lib/python2.7/dist-packages/sklearn/neighbors/
-rw-r--r-- root/root 421512 2018-07-26 14:12 ./usr/lib/python2.7/dist-packages/sklearn/neighbors/ball_tree.arm-linux-gnueabihf.so
-rw-r--r-- root/root 272184 2018-07-26 14:12 ./usr/lib/python2.7/dist-packages/sklearn/neighbors/dist_metrics.arm-linux-gnueabihf.so
-rw-r--r-- root/root 421196 2018-07-26 14:12 ./usr/lib/python2.7/dist-packages/sklearn/neighbors/kd_tree.arm-linux-gnueabihf.so
-rw-r--r-- root/root 111336 2018-07-26 14:12 ./usr/lib/python2.7/dist-packages/sklearn/neighbors/quad_tree.arm-linux-gnueabihf.so
-rw-r--r-- root/root 14276 2018-07-26 14:12 ./usr/lib/python2.7/dist-packages/sklearn/neighbors/typedefs.arm-linux-gnueabihf.so
drwxr-xr-x root/root 0 2018-07-26 14:12 ./usr/lib/python2.7/dist-packages/sklearn/svm/
-rw-r--r-- root/root 109936 2018-07-26 14:12 ./usr/lib/python2.7/dist-packages/sklearn/svm/liblinear.arm-linux-gnueabihf.so
-rw-r--r-- root/root 251464 2018-07-26 14:12 ./usr/lib/python2.7/dist-packages/sklearn/svm/libsvm.arm-linux-gnueabihf.so
-rw-r--r-- root/root 226896 2018-07-26 14:12 ./usr/lib/python2.7/dist-packages/sklearn/svm/libsvm_sparse.arm-linux-gnueabihf.so
drwxr-xr-x root/root 0 2018-07-26 14:12 ./usr/lib/python2.7/dist-packages/sklearn/tree/
-rw-r--r-- root/root 94464 2018-07-26 14:12 ./usr/lib/python2.7/dist-packages/sklearn/tree/_criterion.arm-linux-gnueabihf.so
-rw-r--r-- root/root 115392 2018-07-26 14:12 ./usr/lib/python2.7/dist-packages/sklearn/tree/_splitter.arm-linux-gnueabihf.so
-rw-r--r-- root/root 211640 2018-07-26 14:12 ./usr/lib/python2.7/dist-packages/sklearn/tree/_tree.arm-linux-gnueabihf.so
-rw-r--r-- root/root 85492 2018-07-26 14:12 ./usr/lib/python2.7/dist-packages/sklearn/tree/_utils.arm-linux-gnueabihf.so
drwxr-xr-x root/root 0 2018-07-26 14:12 ./usr/lib/python2.7/dist-packages/sklearn/utils/
-rw-r--r-- root/root 47388 2018-07-26 14:12 ./usr/lib/python2.7/dist-packages/sklearn/utils/_logistic_sigmoid.arm-linux-gnueabihf.so
-rw-r--r-- root/root 90028 2018-07-26 14:12 ./usr/lib/python2.7/dist-packages/sklearn/utils/_random.arm-linux-gnueabihf.so
-rw-r--r-- root/root 39432 2018-07-26 14:12 ./usr/lib/python2.7/dist-packages/sklearn/utils/arrayfuncs.arm-linux-gnueabihf.so
-rw-r--r-- root/root 208540 2018-07-26 14:12 ./usr/lib/python2.7/dist-packages/sklearn/utils/fast_dict.arm-linux-gnueabihf.so
-rw-r--r-- root/root 90744 2018-07-26 14:12 ./usr/lib/python2.7/dist-packages/sklearn/utils/graph_shortest_path.arm-linux-gnueabihf.so
-rw-r--r-- root/root 13952 2018-07-26 14:12 ./usr/lib/python2.7/dist-packages/sklearn/utils/lgamma.arm-linux-gnueabihf.so
-rw-r--r-- root/root 85856 2018-07-26 14:12 ./usr/lib/python2.7/dist-packages/sklearn/utils/murmurhash.arm-linux-gnueabihf.so
-rw-r--r-- root/root 89828 2018-07-26 14:12 ./usr/lib/python2.7/dist-packages/sklearn/utils/seq_dataset.arm-linux-gnueabihf.so
-rw-r--r-- root/root 392744 2018-07-26 14:12 ./usr/lib/python2.7/dist-packages/sklearn/utils/sparsefuncs_fast.arm-linux-gnueabihf.so
-rw-r--r-- root/root 60048 2018-07-26 14:12 ./usr/lib/python2.7/dist-packages/sklearn/utils/weight_vector.arm-linux-gnueabihf.so
drwxr-xr-x root/root 0 2018-07-26 14:12 ./usr/share/
drwxr-xr-x root/root 0 2018-07-26 14:12 ./usr/share/doc/
drwxr-xr-x root/root 0 2018-07-26 14:12 ./usr/share/doc/python-sklearn-lib/
-rw-r--r-- root/root 2703 2018-07-26 14:11 ./usr/share/doc/python-sklearn-lib/AUTHORS.rst
-rw-r--r-- root/root 2187 2018-07-26 14:11 ./usr/share/doc/python-sklearn-lib/README.rst.gz
-rw-r--r-- root/root 6412 2018-07-26 14:12 ./usr/share/doc/python-sklearn-lib/changelog.Debian.gz
-rw-r--r-- root/root 71472 2018-07-26 14:11 ./usr/share/doc/python-sklearn-lib/changelog.gz
-rw-r--r-- root/root 5016 2018-07-26 14:12 ./usr/share/doc/python-sklearn-lib/copyright
python3-sklearn-lib-dbgsym_0.19.2-1_armhf.deb
---------------------------------------------
new Debian package, version 2.0.
size 6086084 bytes: control archive=2352 bytes.
1981 bytes, 12 lines control
4240 bytes, 40 lines md5sums
Package: python3-sklearn-lib-dbgsym
Source: scikit-learn
Version: 0.19.2-1
Auto-Built-Package: debug-symbols
Architecture: armhf
Maintainer: NeuroDebian Team <team@neuro.debian.net>
Installed-Size: 6985
Depends: python3-sklearn-lib (= 0.19.2-1)
Section: debug
Priority: optional
Description: debug symbols for python3-sklearn-lib
Build-Ids: 079e134567e1298cd284cd61600d709a6cad1177 18fa04748685153e442dc3022c3f5eff722e2d5c 19ac3b5d6f02eea9e3a0563edb243aa36a42c786 220e4ff82064d0bd731148a792742ecdbde4bbed 2277b303175a891a5fffee3cd4a8a4ef97eaa94d 23b706d707dd2af0cf80fc7fbd563575e67ef213 26f488fb89be5dff8a26e3ade33cbd71380a53a5 2fc0ff2b332037292350600be49ee8ffad61d475 36072e4dc09e1c423aa6576aa2ee96c1b589268d 39508325cb0e52519d31e61e190812de66473445 3fd621ffbf13866c1bccf6d578d653def87c5d63 4318451853c88ec4905fc025ba51b16e641e0756 4773046bc57778ef3f4e79f6daae3009e245302d 5576512ab4d3fe73e96c59c769a1ddd2ef1222d7 5b410bdf63ce6dccd872992ad5bcf43664c35f64 60c9df75c4179ad0306f3dec49ee906f983f86ad 685dda2b86c8307e10d7ee592818c0d6215b4980 696d9fb77f7989d71be986e7040bedadea6504a5 6a22bd542765559bd3277f78479308da987ece20 6f265700821f1a85312de3eaae4bda25da2be8eb 812a464969c14ec9717697f6db584ceeb706ff53 88a37252a77350ff9187d00520b4ca8d074cc2dc 928cb384a3f32b03da948bb1a40b435e40df615c a1b9af36215685333c8db015bae1a482159209a4 a2e672077a8aaeb3202f2d3c4a3fa4cf2677fa0b a8d8d47ba5e50075dc8a53b7a1a47d699e06a775 a9df18223403b22518d0417d6c5b41ccc76deaa8 ba6bc8c965ebd04744a35202cce1e5d859bf09e9 be7cb0e8bb5e8cfbbed8bedfa991c1cd42d5e475 ca4fcb8c329dc0871689d18d80a244ec18142d75 ccc4176e42def22b74fd881dc6f763d23185d56a cfb9cb60bf76517298213f086adb26cd2c6d2a8c d9e2810136c00d19867c5c4d071e701d35f0b6a3 dfe61159226415f39593302c6378167e2a4ad4c1 e0212ff1980763bb7fcef06a07ffd207539cfb65 e352a0a8d25be05e2aa8117fd82c1a5feed04770 e904c5f1e2fd1ed8d6c819b5c63302e8e5437ad9 ec57a966ec8c160b9005bf416e4f6032cef729b3 ed64cad601a5e26a1c761bd3f1779ad77fddf097 ffe2e168894689af39463336d552bf6c3d78dac6
drwxr-xr-x root/root 0 2018-07-26 14:12 ./
drwxr-xr-x root/root 0 2018-07-26 14:12 ./usr/
drwxr-xr-x root/root 0 2018-07-26 14:12 ./usr/lib/
drwxr-xr-x root/root 0 2018-07-26 14:12 ./usr/lib/debug/
drwxr-xr-x root/root 0 2018-07-26 14:12 ./usr/lib/debug/.build-id/
drwxr-xr-x root/root 0 2018-07-26 14:12 ./usr/lib/debug/.build-id/07/
-rw-r--r-- root/root 111888 2018-07-26 14:12 ./usr/lib/debug/.build-id/07/9e134567e1298cd284cd61600d709a6cad1177.debug
drwxr-xr-x root/root 0 2018-07-26 14:12 ./usr/lib/debug/.build-id/18/
-rw-r--r-- root/root 127140 2018-07-26 14:12 ./usr/lib/debug/.build-id/18/fa04748685153e442dc3022c3f5eff722e2d5c.debug
drwxr-xr-x root/root 0 2018-07-26 14:12 ./usr/lib/debug/.build-id/19/
-rw-r--r-- root/root 439196 2018-07-26 14:12 ./usr/lib/debug/.build-id/19/ac3b5d6f02eea9e3a0563edb243aa36a42c786.debug
drwxr-xr-x root/root 0 2018-07-26 14:12 ./usr/lib/debug/.build-id/22/
-rw-r--r-- root/root 238980 2018-07-26 14:12 ./usr/lib/debug/.build-id/22/0e4ff82064d0bd731148a792742ecdbde4bbed.debug
-rw-r--r-- root/root 225204 2018-07-26 14:12 ./usr/lib/debug/.build-id/22/77b303175a891a5fffee3cd4a8a4ef97eaa94d.debug
drwxr-xr-x root/root 0 2018-07-26 14:12 ./usr/lib/debug/.build-id/23/
-rw-r--r-- root/root 61388 2018-07-26 14:12 ./usr/lib/debug/.build-id/23/b706d707dd2af0cf80fc7fbd563575e67ef213.debug
drwxr-xr-x root/root 0 2018-07-26 14:12 ./usr/lib/debug/.build-id/26/
-rw-r--r-- root/root 64796 2018-07-26 14:12 ./usr/lib/debug/.build-id/26/f488fb89be5dff8a26e3ade33cbd71380a53a5.debug
drwxr-xr-x root/root 0 2018-07-26 14:12 ./usr/lib/debug/.build-id/2f/
-rw-r--r-- root/root 105648 2018-07-26 14:12 ./usr/lib/debug/.build-id/2f/c0ff2b332037292350600be49ee8ffad61d475.debug
drwxr-xr-x root/root 0 2018-07-26 14:12 ./usr/lib/debug/.build-id/36/
-rw-r--r-- root/root 99060 2018-07-26 14:12 ./usr/lib/debug/.build-id/36/072e4dc09e1c423aa6576aa2ee96c1b589268d.debug
drwxr-xr-x root/root 0 2018-07-26 14:12 ./usr/lib/debug/.build-id/39/
-rw-r--r-- root/root 21088 2018-07-26 14:12 ./usr/lib/debug/.build-id/39/508325cb0e52519d31e61e190812de66473445.debug
drwxr-xr-x root/root 0 2018-07-26 14:12 ./usr/lib/debug/.build-id/3f/
-rw-r--r-- root/root 58264 2018-07-26 14:12 ./usr/lib/debug/.build-id/3f/d621ffbf13866c1bccf6d578d653def87c5d63.debug
drwxr-xr-x root/root 0 2018-07-26 14:12 ./usr/lib/debug/.build-id/43/
-rw-r--r-- root/root 127608 2018-07-26 14:12 ./usr/lib/debug/.build-id/43/18451853c88ec4905fc025ba51b16e641e0756.debug
drwxr-xr-x root/root 0 2018-07-26 14:12 ./usr/lib/debug/.build-id/47/
-rw-r--r-- root/root 27892 2018-07-26 14:12 ./usr/lib/debug/.build-id/47/73046bc57778ef3f4e79f6daae3009e245302d.debug
drwxr-xr-x root/root 0 2018-07-26 14:12 ./usr/lib/debug/.build-id/55/
-rw-r--r-- root/root 98068 2018-07-26 14:12 ./usr/lib/debug/.build-id/55/76512ab4d3fe73e96c59c769a1ddd2ef1222d7.debug
drwxr-xr-x root/root 0 2018-07-26 14:12 ./usr/lib/debug/.build-id/5b/
-rw-r--r-- root/root 44008 2018-07-26 14:12 ./usr/lib/debug/.build-id/5b/410bdf63ce6dccd872992ad5bcf43664c35f64.debug
drwxr-xr-x root/root 0 2018-07-26 14:12 ./usr/lib/debug/.build-id/60/
-rw-r--r-- root/root 286724 2018-07-26 14:12 ./usr/lib/debug/.build-id/60/c9df75c4179ad0306f3dec49ee906f983f86ad.debug
drwxr-xr-x root/root 0 2018-07-26 14:12 ./usr/lib/debug/.build-id/68/
-rw-r--r-- root/root 426124 2018-07-26 14:12 ./usr/lib/debug/.build-id/68/5dda2b86c8307e10d7ee592818c0d6215b4980.debug
drwxr-xr-x root/root 0 2018-07-26 14:12 ./usr/lib/debug/.build-id/69/
-rw-r--r-- root/root 422468 2018-07-26 14:12 ./usr/lib/debug/.build-id/69/6d9fb77f7989d71be986e7040bedadea6504a5.debug
drwxr-xr-x root/root 0 2018-07-26 14:12 ./usr/lib/debug/.build-id/6a/
-rw-r--r-- root/root 202592 2018-07-26 14:12 ./usr/lib/debug/.build-id/6a/22bd542765559bd3277f78479308da987ece20.debug
drwxr-xr-x root/root 0 2018-07-26 14:12 ./usr/lib/debug/.build-id/6f/
-rw-r--r-- root/root 113464 2018-07-26 14:12 ./usr/lib/debug/.build-id/6f/265700821f1a85312de3eaae4bda25da2be8eb.debug
drwxr-xr-x root/root 0 2018-07-26 14:12 ./usr/lib/debug/.build-id/81/
-rw-r--r-- root/root 236900 2018-07-26 14:12 ./usr/lib/debug/.build-id/81/2a464969c14ec9717697f6db584ceeb706ff53.debug
drwxr-xr-x root/root 0 2018-07-26 14:12 ./usr/lib/debug/.build-id/88/
-rw-r--r-- root/root 271364 2018-07-26 14:12 ./usr/lib/debug/.build-id/88/a37252a77350ff9187d00520b4ca8d074cc2dc.debug
drwxr-xr-x root/root 0 2018-07-26 14:12 ./usr/lib/debug/.build-id/92/
-rw-r--r-- root/root 320820 2018-07-26 14:12 ./usr/lib/debug/.build-id/92/8cb384a3f32b03da948bb1a40b435e40df615c.debug
drwxr-xr-x root/root 0 2018-07-26 14:12 ./usr/lib/debug/.build-id/a1/
-rw-r--r-- root/root 212944 2018-07-26 14:12 ./usr/lib/debug/.build-id/a1/b9af36215685333c8db015bae1a482159209a4.debug
drwxr-xr-x root/root 0 2018-07-26 14:12 ./usr/lib/debug/.build-id/a2/
-rw-r--r-- root/root 213012 2018-07-26 14:12 ./usr/lib/debug/.build-id/a2/e672077a8aaeb3202f2d3c4a3fa4cf2677fa0b.debug
drwxr-xr-x root/root 0 2018-07-26 14:12 ./usr/lib/debug/.build-id/a8/
-rw-r--r-- root/root 55964 2018-07-26 14:12 ./usr/lib/debug/.build-id/a8/d8d47ba5e50075dc8a53b7a1a47d699e06a775.debug
drwxr-xr-x root/root 0 2018-07-26 14:12 ./usr/lib/debug/.build-id/a9/
-rw-r--r-- root/root 62280 2018-07-26 14:12 ./usr/lib/debug/.build-id/a9/df18223403b22518d0417d6c5b41ccc76deaa8.debug
drwxr-xr-x root/root 0 2018-07-26 14:12 ./usr/lib/debug/.build-id/ba/
-rw-r--r-- root/root 141964 2018-07-26 14:12 ./usr/lib/debug/.build-id/ba/6bc8c965ebd04744a35202cce1e5d859bf09e9.debug
drwxr-xr-x root/root 0 2018-07-26 14:12 ./usr/lib/debug/.build-id/be/
-rw-r--r-- root/root 422268 2018-07-26 14:12 ./usr/lib/debug/.build-id/be/7cb0e8bb5e8cfbbed8bedfa991c1cd42d5e475.debug
drwxr-xr-x root/root 0 2018-07-26 14:12 ./usr/lib/debug/.build-id/ca/
-rw-r--r-- root/root 96900 2018-07-26 14:12 ./usr/lib/debug/.build-id/ca/4fcb8c329dc0871689d18d80a244ec18142d75.debug
drwxr-xr-x root/root 0 2018-07-26 14:12 ./usr/lib/debug/.build-id/cc/
-rw-r--r-- root/root 308236 2018-07-26 14:12 ./usr/lib/debug/.build-id/cc/c4176e42def22b74fd881dc6f763d23185d56a.debug
drwxr-xr-x root/root 0 2018-07-26 14:12 ./usr/lib/debug/.build-id/cf/
-rw-r--r-- root/root 27420 2018-07-26 14:12 ./usr/lib/debug/.build-id/cf/b9cb60bf76517298213f086adb26cd2c6d2a8c.debug
drwxr-xr-x root/root 0 2018-07-26 14:12 ./usr/lib/debug/.build-id/d9/
-rw-r--r-- root/root 180632 2018-07-26 14:12 ./usr/lib/debug/.build-id/d9/e2810136c00d19867c5c4d071e701d35f0b6a3.debug
drwxr-xr-x root/root 0 2018-07-26 14:12 ./usr/lib/debug/.build-id/df/
-rw-r--r-- root/root 441192 2018-07-26 14:12 ./usr/lib/debug/.build-id/df/e61159226415f39593302c6378167e2a4ad4c1.debug
drwxr-xr-x root/root 0 2018-07-26 14:12 ./usr/lib/debug/.build-id/e0/
-rw-r--r-- root/root 94712 2018-07-26 14:12 ./usr/lib/debug/.build-id/e0/212ff1980763bb7fcef06a07ffd207539cfb65.debug
drwxr-xr-x root/root 0 2018-07-26 14:12 ./usr/lib/debug/.build-id/e3/
-rw-r--r-- root/root 242584 2018-07-26 14:12 ./usr/lib/debug/.build-id/e3/52a0a8d25be05e2aa8117fd82c1a5feed04770.debug
drwxr-xr-x root/root 0 2018-07-26 14:12 ./usr/lib/debug/.build-id/e9/
-rw-r--r-- root/root 99156 2018-07-26 14:12 ./usr/lib/debug/.build-id/e9/04c5f1e2fd1ed8d6c819b5c63302e8e5437ad9.debug
drwxr-xr-x root/root 0 2018-07-26 14:12 ./usr/lib/debug/.build-id/ec/
-rw-r--r-- root/root 108612 2018-07-26 14:12 ./usr/lib/debug/.build-id/ec/57a966ec8c160b9005bf416e4f6032cef729b3.debug
drwxr-xr-x root/root 0 2018-07-26 14:12 ./usr/lib/debug/.build-id/ed/
-rw-r--r-- root/root 57412 2018-07-26 14:12 ./usr/lib/debug/.build-id/ed/64cad601a5e26a1c761bd3f1779ad77fddf097.debug
drwxr-xr-x root/root 0 2018-07-26 14:12 ./usr/lib/debug/.build-id/ff/
-rw-r--r-- root/root 188384 2018-07-26 14:12 ./usr/lib/debug/.build-id/ff/e2e168894689af39463336d552bf6c3d78dac6.debug
drwxr-xr-x root/root 0 2018-07-26 14:12 ./usr/share/
drwxr-xr-x root/root 0 2018-07-26 14:12 ./usr/share/doc/
lrwxrwxrwx root/root 0 2018-07-26 14:12 ./usr/share/doc/python3-sklearn-lib-dbgsym -> python3-sklearn-lib
python3-sklearn-lib_0.19.2-1_armhf.deb
--------------------------------------
new Debian package, version 2.0.
size 1214148 bytes: control archive=2104 bytes.
660 bytes, 16 lines control
5499 bytes, 45 lines md5sums
Package: python3-sklearn-lib
Source: scikit-learn
Version: 0.19.2-1
Architecture: armhf
Maintainer: NeuroDebian Team <team@neuro.debian.net>
Installed-Size: 5859
Depends: libc6 (>= 2.4), libgcc1 (>= 1:3.5), libstdc++6 (>= 5.2), python3-numpy (>= 1:1.14.3), python3-numpy-abi9, python3 (<< 3.7), python3 (>= 3.6~)
Section: python
Priority: optional
Homepage: http://scikit-learn.sourceforge.net
Description: low-level implementations and bindings for scikit-learn - Python 3
This is an add-on package for python-sklearn. It provides
low-level implementations and custom Python bindings for the LIBSVM
library.
.
This package contains the Python 3 version.
drwxr-xr-x root/root 0 2018-07-26 14:12 ./
drwxr-xr-x root/root 0 2018-07-26 14:12 ./usr/
drwxr-xr-x root/root 0 2018-07-26 14:12 ./usr/lib/
drwxr-xr-x root/root 0 2018-07-26 14:12 ./usr/lib/python3/
drwxr-xr-x root/root 0 2018-07-26 14:12 ./usr/lib/python3/dist-packages/
drwxr-xr-x root/root 0 2018-07-26 14:12 ./usr/lib/python3/dist-packages/sklearn/
drwxr-xr-x root/root 0 2018-07-26 14:12 ./usr/lib/python3/dist-packages/sklearn/__check_build/
-rw-r--r-- root/root 9852 2018-07-26 14:12 ./usr/lib/python3/dist-packages/sklearn/__check_build/_check_build.cpython-36m-arm-linux-gnueabihf.so
-rw-r--r-- root/root 158244 2018-07-26 14:12 ./usr/lib/python3/dist-packages/sklearn/_isotonic.cpython-36m-arm-linux-gnueabihf.so
drwxr-xr-x root/root 0 2018-07-26 14:12 ./usr/lib/python3/dist-packages/sklearn/cluster/
-rw-r--r-- root/root 35424 2018-07-26 14:12 ./usr/lib/python3/dist-packages/sklearn/cluster/_dbscan_inner.cpython-36m-arm-linux-gnueabihf.so
-rw-r--r-- root/root 190680 2018-07-26 14:12 ./usr/lib/python3/dist-packages/sklearn/cluster/_hierarchical.cpython-36m-arm-linux-gnueabihf.so
-rw-r--r-- root/root 367620 2018-07-26 14:12 ./usr/lib/python3/dist-packages/sklearn/cluster/_k_means.cpython-36m-arm-linux-gnueabihf.so
-rw-r--r-- root/root 271156 2018-07-26 14:12 ./usr/lib/python3/dist-packages/sklearn/cluster/_k_means_elkan.cpython-36m-arm-linux-gnueabihf.so
drwxr-xr-x root/root 0 2018-07-26 14:12 ./usr/lib/python3/dist-packages/sklearn/datasets/
-rw-r--r-- root/root 73044 2018-07-26 14:12 ./usr/lib/python3/dist-packages/sklearn/datasets/_svmlight_format.cpython-36m-arm-linux-gnueabihf.so
drwxr-xr-x root/root 0 2018-07-26 14:12 ./usr/lib/python3/dist-packages/sklearn/decomposition/
-rw-r--r-- root/root 44376 2018-07-26 14:12 ./usr/lib/python3/dist-packages/sklearn/decomposition/_online_lda.cpython-36m-arm-linux-gnueabihf.so
-rw-r--r-- root/root 140932 2018-07-26 14:12 ./usr/lib/python3/dist-packages/sklearn/decomposition/cdnmf_fast.cpython-36m-arm-linux-gnueabihf.so
drwxr-xr-x root/root 0 2018-07-26 14:12 ./usr/lib/python3/dist-packages/sklearn/ensemble/
-rw-r--r-- root/root 190060 2018-07-26 14:12 ./usr/lib/python3/dist-packages/sklearn/ensemble/_gradient_boosting.cpython-36m-arm-linux-gnueabihf.so
drwxr-xr-x root/root 0 2018-07-26 14:12 ./usr/lib/python3/dist-packages/sklearn/feature_extraction/
-rw-r--r-- root/root 48012 2018-07-26 14:12 ./usr/lib/python3/dist-packages/sklearn/feature_extraction/_hashing.cpython-36m-arm-linux-gnueabihf.so
drwxr-xr-x root/root 0 2018-07-26 14:12 ./usr/lib/python3/dist-packages/sklearn/linear_model/
-rw-r--r-- root/root 346592 2018-07-26 14:12 ./usr/lib/python3/dist-packages/sklearn/linear_model/cd_fast.cpython-36m-arm-linux-gnueabihf.so
-rw-r--r-- root/root 87064 2018-07-26 14:12 ./usr/lib/python3/dist-packages/sklearn/linear_model/sag_fast.cpython-36m-arm-linux-gnueabihf.so
-rw-r--r-- root/root 164336 2018-07-26 14:12 ./usr/lib/python3/dist-packages/sklearn/linear_model/sgd_fast.cpython-36m-arm-linux-gnueabihf.so
drwxr-xr-x root/root 0 2018-07-26 14:12 ./usr/lib/python3/dist-packages/sklearn/manifold/
-rw-r--r-- root/root 170128 2018-07-26 14:12 ./usr/lib/python3/dist-packages/sklearn/manifold/_barnes_hut_tsne.cpython-36m-arm-linux-gnueabihf.so
-rw-r--r-- root/root 44440 2018-07-26 14:12 ./usr/lib/python3/dist-packages/sklearn/manifold/_utils.cpython-36m-arm-linux-gnueabihf.so
drwxr-xr-x root/root 0 2018-07-26 14:12 ./usr/lib/python3/dist-packages/sklearn/metrics/
drwxr-xr-x root/root 0 2018-07-26 14:12 ./usr/lib/python3/dist-packages/sklearn/metrics/cluster/
-rw-r--r-- root/root 93572 2018-07-26 14:12 ./usr/lib/python3/dist-packages/sklearn/metrics/cluster/expected_mutual_info_fast.cpython-36m-arm-linux-gnueabihf.so
-rw-r--r-- root/root 192424 2018-07-26 14:12 ./usr/lib/python3/dist-packages/sklearn/metrics/pairwise_fast.cpython-36m-arm-linux-gnueabihf.so
drwxr-xr-x root/root 0 2018-07-26 14:12 ./usr/lib/python3/dist-packages/sklearn/neighbors/
-rw-r--r-- root/root 409280 2018-07-26 14:12 ./usr/lib/python3/dist-packages/sklearn/neighbors/ball_tree.cpython-36m-arm-linux-gnueabihf.so
-rw-r--r-- root/root 259996 2018-07-26 14:12 ./usr/lib/python3/dist-packages/sklearn/neighbors/dist_metrics.cpython-36m-arm-linux-gnueabihf.so
-rw-r--r-- root/root 413060 2018-07-26 14:12 ./usr/lib/python3/dist-packages/sklearn/neighbors/kd_tree.cpython-36m-arm-linux-gnueabihf.so
-rw-r--r-- root/root 111392 2018-07-26 14:12 ./usr/lib/python3/dist-packages/sklearn/neighbors/quad_tree.cpython-36m-arm-linux-gnueabihf.so
-rw-r--r-- root/root 14344 2018-07-26 14:12 ./usr/lib/python3/dist-packages/sklearn/neighbors/typedefs.cpython-36m-arm-linux-gnueabihf.so
drwxr-xr-x root/root 0 2018-07-26 14:12 ./usr/lib/python3/dist-packages/sklearn/svm/
-rw-r--r-- root/root 93592 2018-07-26 14:12 ./usr/lib/python3/dist-packages/sklearn/svm/liblinear.cpython-36m-arm-linux-gnueabihf.so
-rw-r--r-- root/root 235104 2018-07-26 14:12 ./usr/lib/python3/dist-packages/sklearn/svm/libsvm.cpython-36m-arm-linux-gnueabihf.so
-rw-r--r-- root/root 210532 2018-07-26 14:12 ./usr/lib/python3/dist-packages/sklearn/svm/libsvm_sparse.cpython-36m-arm-linux-gnueabihf.so
drwxr-xr-x root/root 0 2018-07-26 14:12 ./usr/lib/python3/dist-packages/sklearn/tree/
-rw-r--r-- root/root 86328 2018-07-26 14:12 ./usr/lib/python3/dist-packages/sklearn/tree/_criterion.cpython-36m-arm-linux-gnueabihf.so
-rw-r--r-- root/root 99064 2018-07-26 14:12 ./usr/lib/python3/dist-packages/sklearn/tree/_splitter.cpython-36m-arm-linux-gnueabihf.so
-rw-r--r-- root/root 199400 2018-07-26 14:12 ./usr/lib/python3/dist-packages/sklearn/tree/_tree.cpython-36m-arm-linux-gnueabihf.so
-rw-r--r-- root/root 81464 2018-07-26 14:12 ./usr/lib/python3/dist-packages/sklearn/tree/_utils.cpython-36m-arm-linux-gnueabihf.so
drwxr-xr-x root/root 0 2018-07-26 14:12 ./usr/lib/python3/dist-packages/sklearn/utils/
-rw-r--r-- root/root 30992 2018-07-26 14:12 ./usr/lib/python3/dist-packages/sklearn/utils/_logistic_sigmoid.cpython-36m-arm-linux-gnueabihf.so
-rw-r--r-- root/root 85968 2018-07-26 14:12 ./usr/lib/python3/dist-packages/sklearn/utils/_random.cpython-36m-arm-linux-gnueabihf.so
-rw-r--r-- root/root 39484 2018-07-26 14:12 ./usr/lib/python3/dist-packages/sklearn/utils/arrayfuncs.cpython-36m-arm-linux-gnueabihf.so
-rw-r--r-- root/root 196312 2018-07-26 14:12 ./usr/lib/python3/dist-packages/sklearn/utils/fast_dict.cpython-36m-arm-linux-gnueabihf.so
-rw-r--r-- root/root 82600 2018-07-26 14:12 ./usr/lib/python3/dist-packages/sklearn/utils/graph_shortest_path.cpython-36m-arm-linux-gnueabihf.so
-rw-r--r-- root/root 14004 2018-07-26 14:12 ./usr/lib/python3/dist-packages/sklearn/utils/lgamma.cpython-36m-arm-linux-gnueabihf.so
-rw-r--r-- root/root 77696 2018-07-26 14:12 ./usr/lib/python3/dist-packages/sklearn/utils/murmurhash.cpython-36m-arm-linux-gnueabihf.so
-rw-r--r-- root/root 77580 2018-07-26 14:12 ./usr/lib/python3/dist-packages/sklearn/utils/seq_dataset.cpython-36m-arm-linux-gnueabihf.so
-rw-r--r-- root/root 380504 2018-07-26 14:12 ./usr/lib/python3/dist-packages/sklearn/utils/sparsefuncs_fast.cpython-36m-arm-linux-gnueabihf.so
-rw-r--r-- root/root 39564 2018-07-26 14:12 ./usr/lib/python3/dist-packages/sklearn/utils/weight_vector.cpython-36m-arm-linux-gnueabihf.so
drwxr-xr-x root/root 0 2018-07-26 14:12 ./usr/share/
drwxr-xr-x root/root 0 2018-07-26 14:12 ./usr/share/doc/
drwxr-xr-x root/root 0 2018-07-26 14:12 ./usr/share/doc/python3-sklearn-lib/
-rw-r--r-- root/root 2703 2018-07-26 14:11 ./usr/share/doc/python3-sklearn-lib/AUTHORS.rst
-rw-r--r-- root/root 2187 2018-07-26 14:11 ./usr/share/doc/python3-sklearn-lib/README.rst.gz
-rw-r--r-- root/root 6412 2018-07-26 14:12 ./usr/share/doc/python3-sklearn-lib/changelog.Debian.gz
-rw-r--r-- root/root 71472 2018-07-26 14:11 ./usr/share/doc/python3-sklearn-lib/changelog.gz
-rw-r--r-- root/root 5016 2018-07-26 14:12 ./usr/share/doc/python3-sklearn-lib/copyright
+------------------------------------------------------------------------------+
| Post Build |
+------------------------------------------------------------------------------+
+------------------------------------------------------------------------------+
| Cleanup |
+------------------------------------------------------------------------------+
Purging /<<BUILDDIR>>
Not cleaning session: cloned chroot in use
+------------------------------------------------------------------------------+
| Summary |
+------------------------------------------------------------------------------+
Build Architecture: armhf
Build-Space: 343912
Build-Time: 3044
Distribution: buster-staging
Host Architecture: armhf
Install-Time: 444
Job: scikit-learn_0.19.2-1
Machine Architecture: armhf
Package: scikit-learn
Package-Time: 3506
Source-Version: 0.19.2-1
Space: 343912
Status: successful
Version: 0.19.2-1
--------------------------------------------------------------------------------
Finished at 2018-08-02T07:55:27Z
Build needed 00:58:26, 343912k disk space