scikit-learn →
0.19.1-2 →
armhf → 2017-12-11 17:32:24
sbuild (Debian sbuild) 0.71.0 (24 Aug 2016) on bm-wb-04
+==============================================================================+
| scikit-learn 0.19.1-2 (armhf) Mon, 11 Dec 2017 14:00:26 +0000 |
+==============================================================================+
Package: scikit-learn
Version: 0.19.1-2
Source Version: 0.19.1-2
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-65c4fa1b-9cdf-4e42-8af1-d992da0fc7ae' 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 [10.4 MB]
Get:3 http://172.17.0.1/private buster-staging/main armhf Packages [12.2 MB]
Fetched 22.7 MB in 25s (887 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 7078 kB of source archives.
Get:1 http://172.17.0.1/private buster-staging/main scikit-learn 0.19.1-2 (dsc) [2808 B]
Get:2 http://172.17.0.1/private buster-staging/main scikit-learn 0.19.1-2 (tar) [5781 kB]
Get:3 http://172.17.0.1/private buster-staging/main scikit-learn 0.19.1-2 (diff) [1294 kB]
Fetched 7078 kB in 0s (9755 kB/s)
Download complete and in download only mode
I: NOTICE: Log filtering will replace 'build/scikit-learn-u0qIr7/scikit-learn-0.19.1' with '<<PKGBUILDDIR>>'
I: NOTICE: Log filtering will replace 'build/scikit-learn-u0qIr7' 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-3mNfTu/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-3mNfTu/gpg/pubring.kbx' created
gpg: /<<BUILDDIR>>/resolver-3mNfTu/gpg/trustdb.gpg: trustdb created
gpg: key 35506D9A48F77B2E: 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 35506D9A48F77B2E: "Sbuild Signer (Sbuild Build Dependency Archive Key) <buildd-tools-devel@lists.alioth.debian.org>" not changed
gpg: key 35506D9A48F77B2E: 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-3mNfTu/apt_archive ./ InRelease
Get:2 copy:/<<BUILDDIR>>/resolver-3mNfTu/apt_archive ./ Release [957 B]
Get:3 copy:/<<BUILDDIR>>/resolver-3mNfTu/apt_archive ./ Release.gpg [370 B]
Get:4 copy:/<<BUILDDIR>>/resolver-3mNfTu/apt_archive ./ Sources [349 B]
Get:5 copy:/<<BUILDDIR>>/resolver-3mNfTu/apt_archive ./ Packages [431 B]
Fetched 2107 B in 0s (2556 B/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 NEW packages will be installed:
sbuild-build-depends-core-dummy
0 upgraded, 1 newly installed, 0 to remove and 53 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-3mNfTu/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 (20.1 kB/s)
Selecting previously unselected package sbuild-build-depends-core-dummy.
(Reading database ... 13057 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-3mNfTu/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-3mNfTu/apt_archive ./ InRelease
Get:2 copy:/<<BUILDDIR>>/resolver-3mNfTu/apt_archive ./ Release [963 B]
Get:3 copy:/<<BUILDDIR>>/resolver-3mNfTu/apt_archive ./ Release.gpg [370 B]
Get:4 copy:/<<BUILDDIR>>/resolver-3mNfTu/apt_archive ./ Sources [640 B]
Get:5 copy:/<<BUILDDIR>>/resolver-3mNfTu/apt_archive ./ Packages [723 B]
Fetched 2696 B in 0s (3636 B/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 additional packages will be installed:
autoconf automake autopoint autotools-dev bsdmainutils cpp-7 cython cython3
debhelper dh-autoreconf dh-python dh-strip-nondeterminism file fontconfig
fontconfig-config fonts-lyx g++-7 gcc-7 gcc-7-base gettext gettext-base
gnome-icon-theme groff-base gtk-update-icon-cache hicolor-icon-theme
intltool-debian libarchive-zip-perl libasan4 libatk1.0-0 libatk1.0-data
libatlas3-base libatomic1 libavahi-client3 libavahi-common-data
libavahi-common3 libblas3 libbsd0 libcairo2 libcc1-0 libcilkrts5 libcroco3
libcups2 libdatrie1 libexpat1 libexpat1-dev libfile-stripnondeterminism-perl
libfontconfig1 libfreetype6 libgcc-7-dev libgcc1 libgdk-pixbuf2.0-0
libgdk-pixbuf2.0-common libgfortran4 libglib2.0-0 libgomp1 libgraphite2-3
libgssapi-krb5-2 libgtk2.0-0 libgtk2.0-common libharfbuzz0b libicu57
libjbig0 libjpeg62-turbo libjs-jquery libjs-jquery-ui libk5crypto3
libkeyutils1 libkrb5-3 libkrb5support0 liblapack3 libmagic-mgc libmagic1
libmpdec2 libpango-1.0-0 libpangocairo-1.0-0 libpangoft2-1.0-0 libpipeline1
libpixman-1-0 libpython-all-dev libpython-dev libpython-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 librsvg2-2 librsvg2-common
libsigsegv2 libssl1.1 libstdc++-7-dev libstdc++6 libsvm-dev libsvm3
libthai-data libthai0 libtiff5 libtimedate-perl libtool libubsan0 libx11-6
libx11-data libxau6 libxcb-render0 libxcb-shm0 libxcb1 libxcomposite1
libxcursor1 libxdamage1 libxdmcp6 libxext6 libxfixes3 libxi6 libxinerama1
libxml2 libxrandr2 libxrender1 m4 man-db mime-support po-debconf python
python-all python-all-dev python-cycler python-dateutil python-decorator
python-dev python-functools32 python-joblib python-matplotlib
python-matplotlib-data python-minimal python-nose python-numpy
python-pkg-resources python-py python-pyparsing python-pytest python-scipy
python-setuptools python-six python-subprocess32 python-tz python2.7
python2.7-dev python2.7-minimal python3 python3-all python3-all-dev
python3-cycler python3-dateutil python3-decorator python3-dev python3-joblib
python3-matplotlib python3-minimal python3-nose python3-numpy
python3-pkg-resources python3-py python3-pyparsing python3-pytest
python3-scipy python3-setuptools python3-six python3-tz python3.6
python3.6-dev python3.6-minimal shared-mime-info ttf-bitstream-vera ucf
Suggested packages:
autoconf-archive gnu-standards autoconf-doc wamerican | wordlist whois
vacation gcc-7-locales cython-doc dh-make dwz gcc-7-doc libstdc++6-7-dbg
libgcc1-dbg libgomp1-dbg libitm1-dbg libatomic1-dbg libasan4-dbg
liblsan0-dbg libtsan0-dbg libubsan0-dbg libcilkrts5-dbg libmpx2-dbg
libquadmath0-dbg gettext-doc libasprintf-dev libgettextpo-dev groff
cups-common krb5-doc krb5-user gvfs libjs-jquery-ui-docs librsvg2-bin
libstdc++-7-doc libtool-doc gfortran | fortran95-compiler gcj-jdk m4-doc
less www-browser apparmor libmail-box-perl python-doc python-tk
python-cycler-doc dvipng ffmpeg gir1.2-gtk-3.0 ghostscript inkscape ipython
python-cairocffi python-configobj python-excelerator python-gobject
python-gtk2 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 python2.7-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-cur libarchive-cpio-perl libgdk-pixbuf2.0-bin
libglib2.0-data xdg-user-dirs libgail-common libgtk2.0-bin javascript-common
krb5-locales libltdl-dev libmail-sendmail-perl python-simplejson
python-glade2 python-imaging 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 file fontconfig
fontconfig-config fonts-lyx gettext gettext-base gnome-icon-theme groff-base
gtk-update-icon-cache hicolor-icon-theme intltool-debian libarchive-zip-perl
libatk1.0-0 libatk1.0-data libatlas3-base libavahi-client3
libavahi-common-data libavahi-common3 libblas3 libbsd0 libcairo2 libcroco3
libcups2 libdatrie1 libexpat1 libexpat1-dev libfile-stripnondeterminism-perl
libfontconfig1 libfreetype6 libgdk-pixbuf2.0-0 libgdk-pixbuf2.0-common
libgfortran4 libglib2.0-0 libgraphite2-3 libgssapi-krb5-2 libgtk2.0-0
libgtk2.0-common libharfbuzz0b libicu57 libjbig0 libjpeg62-turbo
libjs-jquery libjs-jquery-ui libk5crypto3 libkeyutils1 libkrb5-3
libkrb5support0 liblapack3 libmagic-mgc libmagic1 libmpdec2 libpango-1.0-0
libpangocairo-1.0-0 libpangoft2-1.0-0 libpipeline1 libpixman-1-0
libpython-all-dev libpython-dev libpython-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 librsvg2-2 librsvg2-common
libsigsegv2 libssl1.1 libsvm-dev libsvm3 libthai-data libthai0 libtiff5
libtimedate-perl libtool libx11-6 libx11-data libxau6 libxcb-render0
libxcb-shm0 libxcb1 libxcomposite1 libxcursor1 libxdamage1 libxdmcp6
libxext6 libxfixes3 libxi6 libxinerama1 libxml2 libxrandr2 libxrender1 m4
man-db mime-support po-debconf python python-all python-all-dev
python-cycler python-dateutil python-decorator python-dev python-functools32
python-joblib python-matplotlib python-matplotlib-data python-minimal
python-nose python-numpy python-pkg-resources python-py python-pyparsing
python-pytest python-scipy python-setuptools python-six python-subprocess32
python-tz python2.7 python2.7-dev python2.7-minimal python3 python3-all
python3-all-dev python3-cycler python3-dateutil python3-decorator
python3-dev python3-joblib python3-matplotlib python3-minimal python3-nose
python3-numpy python3-pkg-resources 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 shared-mime-info ttf-bitstream-vera
ucf
The following packages will be upgraded:
cpp-7 g++-7 gcc-7 gcc-7-base libasan4 libatomic1 libcc1-0 libcilkrts5
libgcc-7-dev libgcc1 libgomp1 libstdc++-7-dev libstdc++6 libubsan0
14 upgraded, 166 newly installed, 0 to remove and 39 not upgraded.
Need to get 142 MB of archives.
After this operation, 397 MB of additional disk space will be used.
Get:1 http://172.17.0.1/private buster-staging/main armhf libgomp1 armhf 7.2.0-16+rpi1 [63.4 kB]
Get:2 http://172.17.0.1/private buster-staging/main armhf gcc-7-base armhf 7.2.0-16+rpi1 [183 kB]
Get:3 copy:/<<BUILDDIR>>/resolver-3mNfTu/apt_archive ./ sbuild-build-depends-scikit-learn-dummy 0.invalid.0 [1004 B]
Get:4 http://172.17.0.1/private buster-staging/main armhf libgcc1 armhf 1:7.2.0-16+rpi1 [37.0 kB]
Get:5 http://172.17.0.1/private buster-staging/main armhf libatomic1 armhf 7.2.0-16+rpi1 [6768 B]
Get:6 http://172.17.0.1/private buster-staging/main armhf libasan4 armhf 7.2.0-16+rpi1 [301 kB]
Get:7 http://172.17.0.1/private buster-staging/main armhf libubsan0 armhf 7.2.0-16+rpi1 [106 kB]
Get:8 http://172.17.0.1/private buster-staging/main armhf libcilkrts5 armhf 7.2.0-16+rpi1 [35.2 kB]
Get:9 http://172.17.0.1/private buster-staging/main armhf cpp-7 armhf 7.2.0-16+rpi1 [5136 kB]
Get:10 http://172.17.0.1/private buster-staging/main armhf libcc1-0 armhf 7.2.0-16+rpi1 [30.3 kB]
Get:11 http://172.17.0.1/private buster-staging/main armhf g++-7 armhf 7.2.0-16+rpi1 [5583 kB]
Get:12 http://172.17.0.1/private buster-staging/main armhf gcc-7 armhf 7.2.0-16+rpi1 [5460 kB]
Get:13 http://172.17.0.1/private buster-staging/main armhf libgcc-7-dev armhf 7.2.0-16+rpi1 [670 kB]
Get:14 http://172.17.0.1/private buster-staging/main armhf libstdc++-7-dev armhf 7.2.0-16+rpi1 [1469 kB]
Get:15 http://172.17.0.1/private buster-staging/main armhf libstdc++6 armhf 7.2.0-16+rpi1 [327 kB]
Get:16 http://172.17.0.1/private buster-staging/main armhf groff-base armhf 1.22.3-9 [1005 kB]
Get:17 http://172.17.0.1/private buster-staging/main armhf libbsd0 armhf 0.8.6-3 [95.9 kB]
Get:18 http://172.17.0.1/private buster-staging/main armhf bsdmainutils armhf 9.0.14 [178 kB]
Get:19 http://172.17.0.1/private buster-staging/main armhf libpipeline1 armhf 1.5.0-1 [24.6 kB]
Get:20 http://172.17.0.1/private buster-staging/main armhf man-db armhf 2.7.6.1-4 [1012 kB]
Get:21 http://172.17.0.1/private buster-staging/main armhf libexpat1 armhf 2.2.3-2 [73.6 kB]
Get:22 http://172.17.0.1/private buster-staging/main armhf libfreetype6 armhf 2.8.1-0.1 [401 kB]
Get:23 http://172.17.0.1/private buster-staging/main armhf ucf all 3.0036 [70.2 kB]
Get:24 http://172.17.0.1/private buster-staging/main armhf ttf-bitstream-vera all 1.10-8 [352 kB]
Get:25 http://172.17.0.1/private buster-staging/main armhf fontconfig-config all 2.12.6-0.1 [304 kB]
Get:26 http://172.17.0.1/private buster-staging/main armhf libfontconfig1 armhf 2.12.6-0.1 [351 kB]
Get:27 http://172.17.0.1/private buster-staging/main armhf fontconfig armhf 2.12.6-0.1 [438 kB]
Get:28 http://172.17.0.1/private buster-staging/main armhf libpython2.7-minimal armhf 2.7.14-2 [393 kB]
Get:29 http://172.17.0.1/private buster-staging/main armhf python2.7-minimal armhf 2.7.14-2 [1091 kB]
Get:30 http://172.17.0.1/private buster-staging/main armhf python-minimal armhf 2.7.14-1 [40.7 kB]
Get:31 http://172.17.0.1/private buster-staging/main armhf mime-support all 3.60 [36.7 kB]
Get:32 http://172.17.0.1/private buster-staging/main armhf libssl1.1 armhf 1.1.0g-2 [1100 kB]
Get:33 http://172.17.0.1/private buster-staging/main armhf libpython2.7-stdlib armhf 2.7.14-2 [1854 kB]
Get:34 http://172.17.0.1/private buster-staging/main armhf python2.7 armhf 2.7.14-2 [292 kB]
Get:35 http://172.17.0.1/private buster-staging/main armhf libpython-stdlib armhf 2.7.14-1 [20.1 kB]
Get:36 http://172.17.0.1/private buster-staging/main armhf python armhf 2.7.14-1 [155 kB]
Get:37 http://172.17.0.1/private buster-staging/main armhf libpython3.6-minimal armhf 3.6.4~rc1-1 [564 kB]
Get:38 http://172.17.0.1/private buster-staging/main armhf python3.6-minimal armhf 3.6.4~rc1-1 [1232 kB]
Get:39 http://172.17.0.1/private buster-staging/main armhf python3-minimal armhf 3.6.3-2 [35.7 kB]
Get:40 http://172.17.0.1/private buster-staging/main armhf libmpdec2 armhf 2.4.2-1 [67.5 kB]
Get:41 http://172.17.0.1/private buster-staging/main armhf libpython3.6-stdlib armhf 3.6.4~rc1-1 [1833 kB]
Get:42 http://172.17.0.1/private buster-staging/main armhf python3.6 armhf 3.6.4~rc1-1 [224 kB]
Get:43 http://172.17.0.1/private buster-staging/main armhf libpython3-stdlib armhf 3.6.3-2 [19.1 kB]
Get:44 http://172.17.0.1/private buster-staging/main armhf dh-python all 2.20170125 [86.8 kB]
Get:45 http://172.17.0.1/private buster-staging/main armhf python3 armhf 3.6.3-2 [22.1 kB]
Get:46 http://172.17.0.1/private buster-staging/main armhf libmagic-mgc armhf 1:5.32-1 [225 kB]
Get:47 http://172.17.0.1/private buster-staging/main armhf libmagic1 armhf 1:5.32-1 [105 kB]
Get:48 http://172.17.0.1/private buster-staging/main armhf file armhf 1:5.32-1 [63.7 kB]
Get:49 http://172.17.0.1/private buster-staging/main armhf gettext-base armhf 0.19.8.1-4 [117 kB]
Get:50 http://172.17.0.1/private buster-staging/main armhf libkeyutils1 armhf 1.5.9-9.2 [12.1 kB]
Get:51 http://172.17.0.1/private buster-staging/main armhf libicu57 armhf 57.1-8 [7411 kB]
Get:52 http://172.17.0.1/private buster-staging/main armhf libxml2 armhf 2.9.4+dfsg1-5.1 [608 kB]
Get:53 http://172.17.0.1/private buster-staging/main armhf libsigsegv2 armhf 2.11-1 [29.3 kB]
Get:54 http://172.17.0.1/private buster-staging/main armhf m4 armhf 1.4.18-1 [185 kB]
Get:55 http://172.17.0.1/private buster-staging/main armhf autoconf all 2.69-11 [341 kB]
Get:56 http://172.17.0.1/private buster-staging/main armhf autotools-dev all 20161112.1+nmu1 [74.2 kB]
Get:57 http://172.17.0.1/private buster-staging/main armhf automake all 1:1.15.1-3 [736 kB]
Get:58 http://172.17.0.1/private buster-staging/main armhf autopoint all 0.19.8.1-4 [434 kB]
Get:59 http://172.17.0.1/private buster-staging/main armhf cython armhf 0.26.1-0.4 [1747 kB]
Get:60 http://172.17.0.1/private buster-staging/main armhf cython3 armhf 0.26.1-0.4 [1779 kB]
Get:61 http://172.17.0.1/private buster-staging/main armhf libtool all 2.4.6-2 [545 kB]
Get:62 http://172.17.0.1/private buster-staging/main armhf dh-autoreconf all 15 [16.2 kB]
Get:63 http://172.17.0.1/private buster-staging/main armhf libarchive-zip-perl all 1.59-1 [95.5 kB]
Get:64 http://172.17.0.1/private buster-staging/main armhf libfile-stripnondeterminism-perl all 0.040-1 [18.4 kB]
Get:65 http://172.17.0.1/private buster-staging/main armhf libtimedate-perl all 2.3000-2 [42.2 kB]
Get:66 http://172.17.0.1/private buster-staging/main armhf dh-strip-nondeterminism all 0.040-1 [11.8 kB]
Get:67 http://172.17.0.1/private buster-staging/main armhf libglib2.0-0 armhf 2.54.1-1 [2653 kB]
Get:68 http://172.17.0.1/private buster-staging/main armhf libcroco3 armhf 0.6.12-1 [132 kB]
Get:69 http://172.17.0.1/private buster-staging/main armhf gettext armhf 0.19.8.1-4 [1218 kB]
Get:70 http://172.17.0.1/private buster-staging/main armhf intltool-debian all 0.35.0+20060710.4 [26.3 kB]
Get:71 http://172.17.0.1/private buster-staging/main armhf po-debconf all 1.0.20 [247 kB]
Get:72 http://172.17.0.1/private buster-staging/main armhf debhelper all 10.10.9 [975 kB]
Get:73 http://172.17.0.1/private buster-staging/main armhf fonts-lyx all 2.2.3-2 [197 kB]
Get:74 http://172.17.0.1/private buster-staging/main armhf hicolor-icon-theme all 0.17-1 [11.5 kB]
Get:75 http://172.17.0.1/private buster-staging/main armhf libjpeg62-turbo armhf 1:1.5.2-2+b1 [110 kB]
Get:76 http://172.17.0.1/private buster-staging/main armhf libjbig0 armhf 2.1-3.1+b2 [27.6 kB]
Get:77 http://172.17.0.1/private buster-staging/main armhf libtiff5 armhf 4.0.8-6 [219 kB]
Get:78 http://172.17.0.1/private buster-staging/main armhf libxau6 armhf 1:1.0.8-1+b2 [19.1 kB]
Get:79 http://172.17.0.1/private buster-staging/main armhf libxdmcp6 armhf 1:1.1.2-3 [25.0 kB]
Get:80 http://172.17.0.1/private buster-staging/main armhf libxcb1 armhf 1.12-1 [129 kB]
Get:81 http://172.17.0.1/private buster-staging/main armhf libx11-data all 2:1.6.4-3 [290 kB]
Get:82 http://172.17.0.1/private buster-staging/main armhf libx11-6 armhf 2:1.6.4-3 [683 kB]
Get:83 http://172.17.0.1/private buster-staging/main armhf shared-mime-info armhf 1.9-2 [749 kB]
Get:84 http://172.17.0.1/private buster-staging/main armhf libgdk-pixbuf2.0-common all 2.36.11-1 [312 kB]
Get:85 http://172.17.0.1/private buster-staging/main armhf libgdk-pixbuf2.0-0 armhf 2.36.11-1 [153 kB]
Get:86 http://172.17.0.1/private buster-staging/main armhf gtk-update-icon-cache armhf 3.22.24-3+rpi1 [76.6 kB]
Get:87 http://172.17.0.1/private buster-staging/main armhf libpixman-1-0 armhf 0.34.0-1 [451 kB]
Get:88 http://172.17.0.1/private buster-staging/main armhf libxcb-render0 armhf 1.12-1 [104 kB]
Get:89 http://172.17.0.1/private buster-staging/main armhf libxcb-shm0 armhf 1.12-1 [95.9 kB]
Get:90 http://172.17.0.1/private buster-staging/main armhf libxext6 armhf 2:1.3.3-1+b2 [47.8 kB]
Get:91 http://172.17.0.1/private buster-staging/main armhf libxrender1 armhf 1:0.9.10-1 [29.9 kB]
Get:92 http://172.17.0.1/private buster-staging/main armhf libcairo2 armhf 1.15.8-2 [557 kB]
Get:93 http://172.17.0.1/private buster-staging/main armhf libthai-data all 0.1.27-1 [168 kB]
Get:94 http://172.17.0.1/private buster-staging/main armhf libdatrie1 armhf 0.2.10-5 [33.0 kB]
Get:95 http://172.17.0.1/private buster-staging/main armhf libthai0 armhf 0.1.27-1 [50.0 kB]
Get:96 http://172.17.0.1/private buster-staging/main armhf libpango-1.0-0 armhf 1.40.12-1 [179 kB]
Get:97 http://172.17.0.1/private buster-staging/main armhf libgraphite2-3 armhf 1.3.10-6 [71.5 kB]
Get:98 http://172.17.0.1/private buster-staging/main armhf libharfbuzz0b armhf 1.6.2-1 [683 kB]
Get:99 http://172.17.0.1/private buster-staging/main armhf libpangoft2-1.0-0 armhf 1.40.12-1 [72.0 kB]
Get:100 http://172.17.0.1/private buster-staging/main armhf libpangocairo-1.0-0 armhf 1.40.12-1 [61.2 kB]
Get:101 http://172.17.0.1/private buster-staging/main armhf librsvg2-2 armhf 2.40.18-2 [269 kB]
Get:102 http://172.17.0.1/private buster-staging/main armhf librsvg2-common armhf 2.40.18-2 [195 kB]
Get:103 http://172.17.0.1/private buster-staging/main armhf gnome-icon-theme all 3.12.0-2 [9890 kB]
Get:104 http://172.17.0.1/private buster-staging/main armhf libatk1.0-data all 2.26.0-2 [145 kB]
Get:105 http://172.17.0.1/private buster-staging/main armhf libatk1.0-0 armhf 2.26.0-2 [42.3 kB]
Get:106 http://172.17.0.1/private buster-staging/main armhf libgfortran4 armhf 7.2.0-16+rpi1 [191 kB]
Get:107 http://172.17.0.1/private buster-staging/main armhf libatlas3-base armhf 3.10.3-5+rpi1 [2418 kB]
Get:108 http://172.17.0.1/private buster-staging/main armhf libavahi-common-data armhf 0.7-3 [122 kB]
Get:109 http://172.17.0.1/private buster-staging/main armhf libavahi-common3 armhf 0.7-3 [50.6 kB]
Get:110 http://172.17.0.1/private buster-staging/main armhf libavahi-client3 armhf 0.7-3 [53.4 kB]
Get:111 http://172.17.0.1/private buster-staging/main armhf libblas3 armhf 3.7.1-4 [103 kB]
Get:112 http://172.17.0.1/private buster-staging/main armhf libkrb5support0 armhf 1.15.2-2 [58.6 kB]
Get:113 http://172.17.0.1/private buster-staging/main armhf libk5crypto3 armhf 1.15.2-2 [116 kB]
Get:114 http://172.17.0.1/private buster-staging/main armhf libkrb5-3 armhf 1.15.2-2 [263 kB]
Get:115 http://172.17.0.1/private buster-staging/main armhf libgssapi-krb5-2 armhf 1.15.2-2 [133 kB]
Get:116 http://172.17.0.1/private buster-staging/main armhf libcups2 armhf 2.2.6-2+rpi1 [282 kB]
Get:117 http://172.17.0.1/private buster-staging/main armhf libexpat1-dev armhf 2.2.3-2 [125 kB]
Get:118 http://172.17.0.1/private buster-staging/main armhf libgtk2.0-common all 2.24.31-2 [2693 kB]
Get:119 http://172.17.0.1/private buster-staging/main armhf libxcomposite1 armhf 1:0.4.4-2 [16.1 kB]
Get:120 http://172.17.0.1/private buster-staging/main armhf libxfixes3 armhf 1:5.0.3-1 [20.6 kB]
Get:121 http://172.17.0.1/private buster-staging/main armhf libxcursor1 armhf 1:1.1.14-3 [31.8 kB]
Get:122 http://172.17.0.1/private buster-staging/main armhf libxdamage1 armhf 1:1.1.4-3 [14.0 kB]
Get:123 http://172.17.0.1/private buster-staging/main armhf libxi6 armhf 2:1.7.9-1 [77.8 kB]
Get:124 http://172.17.0.1/private buster-staging/main armhf libxinerama1 armhf 2:1.1.3-1+b3 [16.3 kB]
Get:125 http://172.17.0.1/private buster-staging/main armhf libxrandr2 armhf 2:1.5.1-1 [34.5 kB]
Get:126 http://172.17.0.1/private buster-staging/main armhf libgtk2.0-0 armhf 2.24.31-2 [1505 kB]
Get:127 http://172.17.0.1/private buster-staging/main armhf libjs-jquery all 3.2.1-1 [154 kB]
Get:128 http://172.17.0.1/private buster-staging/main armhf libjs-jquery-ui all 1.12.1+dfsg-5 [232 kB]
Get:129 http://172.17.0.1/private buster-staging/main armhf liblapack3 armhf 3.7.1-4 [1508 kB]
Get:130 http://172.17.0.1/private buster-staging/main armhf libpython2.7 armhf 2.7.14-2 [904 kB]
Get:131 http://172.17.0.1/private buster-staging/main armhf libpython2.7-dev armhf 2.7.14-2 [27.6 MB]
Get:132 http://172.17.0.1/private buster-staging/main armhf libpython-dev armhf 2.7.14-1 [20.1 kB]
Get:133 http://172.17.0.1/private buster-staging/main armhf libpython-all-dev armhf 2.7.14-1 [958 B]
Get:134 http://172.17.0.1/private buster-staging/main armhf libpython3.6 armhf 3.6.4~rc1-1 [1227 kB]
Get:135 http://172.17.0.1/private buster-staging/main armhf libpython3.6-dev armhf 3.6.4~rc1-1 [2253 kB]
Get:136 http://172.17.0.1/private buster-staging/main armhf libpython3-dev armhf 3.6.3-2 [19.2 kB]
Get:137 http://172.17.0.1/private buster-staging/main armhf libpython3-all-dev armhf 3.6.3-2 [1048 B]
Get:138 http://172.17.0.1/private buster-staging/main armhf libsvm3 armhf 3.21+ds-1.1+b2 [36.6 kB]
Get:139 http://172.17.0.1/private buster-staging/main armhf libsvm-dev armhf 3.21+ds-1.1+b2 [42.0 kB]
Get:140 http://172.17.0.1/private buster-staging/main armhf python-all armhf 2.7.14-1 [942 B]
Get:141 http://172.17.0.1/private buster-staging/main armhf python2.7-dev armhf 2.7.14-2 [295 kB]
Get:142 http://172.17.0.1/private buster-staging/main armhf python-dev armhf 2.7.14-1 [1130 B]
Get:143 http://172.17.0.1/private buster-staging/main armhf python-all-dev armhf 2.7.14-1 [964 B]
Get:144 http://172.17.0.1/private buster-staging/main armhf python-six all 1.11.0-1 [14.9 kB]
Get:145 http://172.17.0.1/private buster-staging/main armhf python-cycler all 0.10.0-1 [7448 B]
Get:146 http://172.17.0.1/private buster-staging/main armhf python-dateutil all 2.6.1-1 [61.1 kB]
Get:147 http://172.17.0.1/private buster-staging/main armhf python-decorator all 4.1.2-1 [13.7 kB]
Get:148 http://172.17.0.1/private buster-staging/main armhf python-functools32 all 3.2.3.2-3 [11.0 kB]
Get:149 http://172.17.0.1/private buster-staging/main armhf python-joblib all 0.11-1 [120 kB]
Get:150 http://172.17.0.1/private buster-staging/main armhf python-matplotlib-data all 2.0.0+dfsg1-2 [4414 kB]
Get:151 http://172.17.0.1/private buster-staging/main armhf python-pyparsing all 2.1.10+dfsg1-1 [88.5 kB]
Get:152 http://172.17.0.1/private buster-staging/main armhf python-tz all 2017.2-2 [33.9 kB]
Get:153 http://172.17.0.1/private buster-staging/main armhf python-numpy armhf 1:1.13.3-2 [1727 kB]
Get:154 http://172.17.0.1/private buster-staging/main armhf python-subprocess32 armhf 3.2.7-2 [28.2 kB]
Get:155 http://172.17.0.1/private buster-staging/main armhf python-matplotlib armhf 2.0.0+dfsg1-2+b1 [1530 kB]
Get:156 http://172.17.0.1/private buster-staging/main armhf python-pkg-resources all 38.2.4-1 [171 kB]
Get:157 http://172.17.0.1/private buster-staging/main armhf python-nose all 1.3.7-3 [132 kB]
Get:158 http://172.17.0.1/private buster-staging/main armhf python-py all 1.4.34-3 [83.5 kB]
Get:159 http://172.17.0.1/private buster-staging/main armhf python-pytest all 3.2.1-2 [200 kB]
Get:160 http://172.17.0.1/private buster-staging/main armhf python-setuptools all 38.2.4-1 [311 kB]
Get:161 http://172.17.0.1/private buster-staging/main armhf python3-all armhf 3.6.3-2 [1024 B]
Get:162 http://172.17.0.1/private buster-staging/main armhf python3.6-dev armhf 3.6.4~rc1-1 [510 kB]
Get:163 http://172.17.0.1/private buster-staging/main armhf python3-dev armhf 3.6.3-2 [1236 B]
Get:164 http://172.17.0.1/private buster-staging/main armhf python3-all-dev armhf 3.6.3-2 [1048 B]
Get:165 http://172.17.0.1/private buster-staging/main armhf python3-six all 1.11.0-1 [15.0 kB]
Get:166 http://172.17.0.1/private buster-staging/main armhf python3-cycler all 0.10.0-1 [7556 B]
Get:167 http://172.17.0.1/private buster-staging/main armhf python3-dateutil all 2.6.1-1 [52.8 kB]
Get:168 http://172.17.0.1/private buster-staging/main armhf python3-decorator all 4.1.2-1 [13.7 kB]
Get:169 http://172.17.0.1/private buster-staging/main armhf python3-joblib all 0.11-1 [117 kB]
Get:170 http://172.17.0.1/private buster-staging/main armhf python3-pyparsing all 2.1.10+dfsg1-1 [88.6 kB]
Get:171 http://172.17.0.1/private buster-staging/main armhf python3-tz all 2017.2-2 [27.3 kB]
Get:172 http://172.17.0.1/private buster-staging/main armhf python3-numpy armhf 1:1.13.3-2 [1732 kB]
Get:173 http://172.17.0.1/private buster-staging/main armhf python3-matplotlib armhf 2.0.0+dfsg1-2+b1 [1529 kB]
Get:174 http://172.17.0.1/private buster-staging/main armhf python3-pkg-resources all 38.2.4-1 [142 kB]
Get:175 http://172.17.0.1/private buster-staging/main armhf python3-nose all 1.3.7-3 [132 kB]
Get:176 http://172.17.0.1/private buster-staging/main armhf python3-py all 1.4.34-3 [83.6 kB]
Get:177 http://172.17.0.1/private buster-staging/main armhf python3-pytest all 3.2.1-2 [200 kB]
Get:178 http://172.17.0.1/private buster-staging/main armhf python3-setuptools all 38.2.4-1 [229 kB]
Get:179 http://172.17.0.1/private buster-staging/main armhf python-scipy armhf 0.19.1-1+b1 [8546 kB]
Get:180 http://172.17.0.1/private buster-staging/main armhf python3-scipy armhf 0.19.1-1+b1 [8489 kB]
debconf: delaying package configuration, since apt-utils is not installed
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Setting up libgomp1:armhf (7.2.0-16+rpi1) ...
Setting up libjs-jquery (3.2.1-1) ...
Setting up libatomic1:armhf (7.2.0-16+rpi1) ...
Setting up libcc1-0:armhf (7.2.0-16+rpi1) ...
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Setting up libjpeg62-turbo:armhf (1:1.5.2-2+b1) ...
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Setting up libgfortran4:armhf (7.2.0-16+rpi1) ...
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Setting up libubsan0:armhf (7.2.0-16+rpi1) ...
Setting up groff-base (1.22.3-9) ...
Setting up libglib2.0-0:armhf (2.54.1-1) ...
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Setting up libdatrie1:armhf (0.2.10-5) ...
Setting up libtiff5:armhf (4.0.8-6) ...
Setting up gettext-base (0.19.8.1-4) ...
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Setting up libpixman-1-0:armhf (0.34.0-1) ...
Setting up libblas3:armhf (3.7.1-4) ...
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
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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
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update-alternatives: using /usr/bin/automake-1.15 to provide /usr/bin/automake (automake) in auto mode
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Not building database; man-db/auto-update is not 'true'.
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Setting up python-pkg-resources (38.2.4-1) ...
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Setting up python-numpy (1:1.13.3-2) ...
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Setting up python-nose (1.3.7-3) ...
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Regenerating fonts cache... done.
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Setting up python-setuptools (38.2.4-1) ...
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Setting up libgssapi-krb5-2:armhf (1.15.2-2) ...
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Setting up libxcursor1:armhf (1:1.1.14-3) ...
Setting up python-all-dev (2.7.14-1) ...
Setting up libpython3-all-dev:armhf (3.6.3-2) ...
Setting up libpango-1.0-0:armhf (1.40.12-1) ...
Setting up libxrandr2:armhf (2:1.5.1-1) ...
Setting up libcups2:armhf (2.2.6-2+rpi1) ...
Setting up libxi6:armhf (2:1.7.9-1) ...
Setting up libcairo2:armhf (1.15.8-2) ...
Setting up libxinerama1:armhf (2:1.1.3-1+b3) ...
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Setting up libpangoft2-1.0-0:armhf (1.40.12-1) ...
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Setting up librsvg2-2:armhf (2.40.18-2) ...
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Setting up gnome-icon-theme (3.12.0-2) ...
update-alternatives: using /usr/share/icons/gnome/scalable/places/debian-swirl.svg to provide /usr/share/icons/gnome/scalable/places/start-here.svg (start-here.svg) in auto mode
Setting up libgtk2.0-0:armhf (2.24.31-2) ...
Setting up python-matplotlib (2.0.0+dfsg1-2+b1) ...
Setting up dh-autoreconf (15) ...
Setting up python3 (3.6.3-2) ...
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Setting up python3-six (1.11.0-1) ...
Setting up python3-pyparsing (2.1.10+dfsg1-1) ...
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Setting up python3-dev (3.6.3-2) ...
Setting up python3-pkg-resources (38.2.4-1) ...
Setting up dh-strip-nondeterminism (0.040-1) ...
Setting up python3-nose (1.3.7-3) ...
Setting up python3-all (3.6.3-2) ...
Setting up cython3 (0.26.1-0.4) ...
Setting up python3-setuptools (38.2.4-1) ...
Setting up dh-python (2.20170125) ...
Setting up python3-decorator (4.1.2-1) ...
Setting up python3-tz (2017.2-2) ...
Setting up python3-joblib (0.11-1) ...
Setting up python3-dateutil (2.6.1-1) ...
Setting up debhelper (10.10.9) ...
Setting up python3-scipy (0.19.1-1+b1) ...
Setting up python3-py (1.4.34-3) ...
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Setting up python3-pytest (3.2.1-2) ...
Setting up python3-matplotlib (2.0.0+dfsg1-2+b1) ...
Setting up sbuild-build-depends-scikit-learn-dummy (0.invalid.0) ...
Processing triggers for libc-bin (2.25-2+rpi1) ...
Processing triggers for libgdk-pixbuf2.0-0:armhf (2.36.11-1) ...
W: No sandbox user '_apt' on the system, can not drop privileges
+------------------------------------------------------------------------------+
| Build environment |
+------------------------------------------------------------------------------+
Kernel: Linux 4.9.0-0.bpo.4-armmp armhf (armv7l)
Toolchain package versions: binutils_2.29.1-8+rpi1 dpkg-dev_1.19.0.4 g++-7_7.2.0-16+rpi1 gcc-7_7.2.0-16+rpi1 libc6-dev_2.25-2+rpi1 libstdc++-7-dev_7.2.0-16+rpi1 libstdc++6_7.2.0-16+rpi1 linux-libc-dev_4.9.51-1+rpi3+b1
Package versions: adduser_3.116 apt_1.6~alpha5 autoconf_2.69-11 automake_1:1.15.1-3 autopoint_0.19.8.1-4 autotools-dev_20161112.1+nmu1 base-files_10+rpi1 base-passwd_3.5.44 bash_4.4-5 binutils_2.29.1-8+rpi1 binutils-arm-linux-gnueabihf_2.29.1-8+rpi1 binutils-common_2.29.1-8+rpi1 bsdmainutils_9.0.14 bsdutils_1:2.30.2-0.1 build-essential_12.4 bzip2_1.0.6-8.1 coreutils_8.28-1 cpio_2.11+dfsg-6 cpp_4:7.2.0-1d1 cpp-7_7.2.0-16+rpi1 cython_0.26.1-0.4 cython3_0.26.1-0.4 dash_0.5.8-2.5 debconf_1.5.65 debhelper_10.10.9 debianutils_4.8.3 dh-autoreconf_15 dh-python_2.20170125 dh-strip-nondeterminism_0.040-1 diffutils_1:3.6-1 dirmngr_2.2.2-1+rpi1 dmsetup_2:1.02.145-4 dpkg_1.19.0.4 dpkg-dev_1.19.0.4 e2fslibs_1.43.7-1 e2fsprogs_1.43.7-1 fakeroot_1.22-2 fdisk_2.30.2-0.1 file_1:5.32-1 findutils_4.6.0+git+20170828-2 fontconfig_2.12.6-0.1 fontconfig-config_2.12.6-0.1 fonts-lyx_2.2.3-2 g++_4:7.2.0-1d1 g++-7_7.2.0-16+rpi1 gcc_4:7.2.0-1d1 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_4.9.3-14 gcc-5-base_5.4.1-4 gcc-6-base_6.4.0-10 gcc-7_7.2.0-16+rpi1 gcc-7-base_7.2.0-16+rpi1 gettext_0.19.8.1-4 gettext-base_0.19.8.1-4 gnome-icon-theme_3.12.0-2 gnupg_2.2.2-1+rpi1 gnupg-l10n_2.2.2-1+rpi1 gnupg-utils_2.2.2-1+rpi1 gpg_2.2.2-1+rpi1 gpg-agent_2.2.2-1+rpi1 gpg-wks-client_2.2.2-1+rpi1 gpg-wks-server_2.2.2-1+rpi1 gpgconf_2.2.2-1+rpi1 gpgsm_2.2.2-1+rpi1 gpgv_2.2.2-1+rpi1 grep_3.1-2 groff-base_1.22.3-9 gtk-update-icon-cache_3.22.24-3+rpi1 gzip_1.6-5 hicolor-icon-theme_0.17-1 hostname_3.18 init-system-helpers_1.51 initramfs-tools_0.130 initramfs-tools-core_0.130 intltool-debian_0.35.0+20060710.4 klibc-utils_2.0.4-9+rpi1 kmod_24-1 libacl1_2.2.52-3 libapparmor1_2.11.1-3 libapt-pkg5.0_1.6~alpha5 libarchive-zip-perl_1.59-1 libasan4_7.2.0-16+rpi1 libassuan0_2.4.4-1 libatk1.0-0_2.26.0-2 libatk1.0-data_2.26.0-2 libatlas3-base_3.10.3-5+rpi1 libatomic1_7.2.0-16+rpi1 libattr1_1:2.4.47-2 libaudit-common_1:2.8.1-2 libaudit1_1:2.8.1-2 libavahi-client3_0.7-3 libavahi-common-data_0.7-3 libavahi-common3_0.7-3 libbinutils_2.29.1-8+rpi1 libblas3_3.7.1-4 libblkid1_2.30.2-0.1 libbsd0_0.8.6-3 libbz2-1.0_1.0.6-8.1 libc-bin_2.25-2+rpi1 libc-dev-bin_2.25-2+rpi1 libc6_2.25-2+rpi1 libc6-dev_2.25-2+rpi1 libcairo2_1.15.8-2 libcap-ng0_0.7.7-3.1+b1 libcap2_1:2.25-1.1 libcc1-0_7.2.0-16+rpi1 libcilkrts5_7.2.0-16+rpi1 libcomerr2_1.43.7-1 libcroco3_0.6.12-1 libcryptsetup4_2:1.7.5-1 libcups2_2.2.6-2+rpi1 libdatrie1_0.2.10-5 libdb5.3_5.3.28-13.1 libdbus-1-3_1.12.2-1 libdebconfclient0_0.232 libdevmapper1.02.1_2:1.02.145-4 libdpkg-perl_1.19.0.4 libdrm-common_2.4.88-1+rpi1 libdrm2_2.4.88-1+rpi1 libexpat1_2.2.3-2 libexpat1-dev_2.2.3-2 libfakeroot_1.22-2 libfdisk1_2.30.2-0.1 libffi6_3.2.1-6 libfile-stripnondeterminism-perl_0.040-1 libfontconfig1_2.12.6-0.1 libfreetype6_2.8.1-0.1 libgcc-7-dev_7.2.0-16+rpi1 libgcc1_1:7.2.0-16+rpi1 libgcrypt20_1.8.1-4 libgdbm3_1.8.3-14 libgdk-pixbuf2.0-0_2.36.11-1 libgdk-pixbuf2.0-common_2.36.11-1 libgfortran4_7.2.0-16+rpi1 libglib2.0-0_2.54.1-1 libgmp10_2:6.1.2+dfsg-1.1 libgnutls30_3.5.16-1 libgomp1_7.2.0-16+rpi1 libgpg-error0_1.27-5 libgraphite2-3_1.3.10-6 libgssapi-krb5-2_1.15.2-2 libgtk2.0-0_2.24.31-2 libgtk2.0-common_2.24.31-2 libharfbuzz0b_1.6.2-1 libhogweed4_3.3-2 libicu57_57.1-8 libidn11_1.33-2 libidn2-0_2.0.4-1.1 libip4tc0_1.6.1-2+b1 libisl15_0.18-1 libjbig0_2.1-3.1+b2 libjpeg62-turbo_1:1.5.2-2+b1 libjs-jquery_3.2.1-1 libjs-jquery-ui_1.12.1+dfsg-5 libk5crypto3_1.15.2-2 libkeyutils1_1.5.9-9.2 libklibc_2.0.4-9+rpi1 libkmod2_24-1 libkrb5-3_1.15.2-2 libkrb5support0_1.15.2-2 libksba8_1.3.5-2 liblapack3_3.7.1-4 libldap-2.4-2_2.4.45+dfsg-1 libldap-common_2.4.45+dfsg-1 liblocale-gettext-perl_1.07-3+b2 liblz4-1_0.0~r131-2 liblzma5_5.2.2-1.3 libmagic-mgc_1:5.32-1 libmagic1_1:5.32-1 libmount1_2.30.2-0.1 libmpc3_1.0.3-2 libmpdec2_2.4.2-1 libmpfr4_3.1.6-1 libncurses5_6.0+20170902-1 libncursesw5_6.0+20170902-1 libnettle6_3.3-2 libnpth0_1.5-3 libp11-kit0_0.23.9-2 libpam-modules_1.1.8-3.6 libpam-modules-bin_1.1.8-3.6 libpam-runtime_1.1.8-3.6 libpam0g_1.1.8-3.6 libpango-1.0-0_1.40.12-1 libpangocairo-1.0-0_1.40.12-1 libpangoft2-1.0-0_1.40.12-1 libpcre3_2:8.39-4 libperl5.26_5.26.1-2 libpipeline1_1.5.0-1 libpixman-1-0_0.34.0-1 libplymouth4_0.9.3-1 libpng16-16_1.6.34-1 libprocps6_2:3.3.12-3 libpython-all-dev_2.7.14-1 libpython-dev_2.7.14-1 libpython-stdlib_2.7.14-1 libpython2.7_2.7.14-2 libpython2.7-dev_2.7.14-2 libpython2.7-minimal_2.7.14-2 libpython2.7-stdlib_2.7.14-2 libpython3-all-dev_3.6.3-2 libpython3-dev_3.6.3-2 libpython3-stdlib_3.6.3-2 libpython3.6_3.6.4~rc1-1 libpython3.6-dev_3.6.4~rc1-1 libpython3.6-minimal_3.6.4~rc1-1 libpython3.6-stdlib_3.6.4~rc1-1 libreadline7_7.0-3 librsvg2-2_2.40.18-2 librsvg2-common_2.40.18-2 libsasl2-2_2.1.27~101-g0780600+dfsg-3 libsasl2-modules-db_2.1.27~101-g0780600+dfsg-3 libseccomp2_2.3.1-2.1 libselinux1_2.7-2 libsemanage-common_2.7-2 libsemanage1_2.7-2 libsepol1_2.7-1 libsigsegv2_2.11-1 libsmartcols1_2.30.2-0.1 libsqlite3-0_3.21.0-1 libss2_1.43.7-1 libssl1.1_1.1.0g-2 libstdc++-7-dev_7.2.0-16+rpi1 libstdc++6_7.2.0-16+rpi1 libsvm-dev_3.21+ds-1.1+b2 libsvm3_3.21+ds-1.1+b2 libsystemd0_235-3 libtasn1-6_4.12-2.1 libtext-charwidth-perl_0.04-7.1 libtext-iconv-perl_1.7-5+b9 libtext-wrapi18n-perl_0.06-7.1 libthai-data_0.1.27-1 libthai0_0.1.27-1 libtiff5_4.0.8-6 libtimedate-perl_2.3000-2 libtinfo5_6.0+20170902-1 libtool_2.4.6-2 libubsan0_7.2.0-16+rpi1 libudev1_235-3 libunistring2_0.9.7-2 libuuid1_2.30.2-0.1 libx11-6_2:1.6.4-3 libx11-data_2:1.6.4-3 libxau6_1:1.0.8-1+b2 libxcb-render0_1.12-1 libxcb-shm0_1.12-1 libxcb1_1.12-1 libxcomposite1_1:0.4.4-2 libxcursor1_1:1.1.14-3 libxdamage1_1:1.1.4-3 libxdmcp6_1:1.1.2-3 libxext6_2:1.3.3-1+b2 libxfixes3_1:5.0.3-1 libxi6_2:1.7.9-1 libxinerama1_2:1.1.3-1+b3 libxml2_2.9.4+dfsg1-5.1 libxrandr2_2:1.5.1-1 libxrender1_1:0.9.10-1 linux-base_4.5 linux-libc-dev_4.9.51-1+rpi3+b1 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_2.7.6.1-4 mawk_1.3.3-17 mime-support_3.60 mount_2.30.2-0.1 multiarch-support_2.25-2+rpi1 ncurses-base_6.0+20170902-1 ncurses-bin_6.0+20170902-1 passwd_1:4.5-1 patch_2.7.5-1 perl_5.26.1-2 perl-base_5.26.1-2 perl-modules-5.26_5.26.1-2 pinentry-curses_1.0.0-3 plymouth_0.9.3-1 po-debconf_1.0.20 procps_2:3.3.12-3 python_2.7.14-1 python-all_2.7.14-1 python-all-dev_2.7.14-1 python-cycler_0.10.0-1 python-dateutil_2.6.1-1 python-decorator_4.1.2-1 python-dev_2.7.14-1 python-functools32_3.2.3.2-3 python-joblib_0.11-1 python-matplotlib_2.0.0+dfsg1-2+b1 python-matplotlib-data_2.0.0+dfsg1-2 python-minimal_2.7.14-1 python-nose_1.3.7-3 python-numpy_1:1.13.3-2 python-pkg-resources_38.2.4-1 python-py_1.4.34-3 python-pyparsing_2.1.10+dfsg1-1 python-pytest_3.2.1-2 python-scipy_0.19.1-1+b1 python-setuptools_38.2.4-1 python-six_1.11.0-1 python-subprocess32_3.2.7-2 python-tz_2017.2-2 python2.7_2.7.14-2 python2.7-dev_2.7.14-2 python2.7-minimal_2.7.14-2 python3_3.6.3-2 python3-all_3.6.3-2 python3-all-dev_3.6.3-2 python3-cycler_0.10.0-1 python3-dateutil_2.6.1-1 python3-decorator_4.1.2-1 python3-dev_3.6.3-2 python3-joblib_0.11-1 python3-matplotlib_2.0.0+dfsg1-2+b1 python3-minimal_3.6.3-2 python3-nose_1.3.7-3 python3-numpy_1:1.13.3-2 python3-pkg-resources_38.2.4-1 python3-py_1.4.34-3 python3-pyparsing_2.1.10+dfsg1-1 python3-pytest_3.2.1-2 python3-scipy_0.19.1-1+b1 python3-setuptools_38.2.4-1 python3-six_1.11.0-1 python3-tz_2017.2-2 python3.6_3.6.4~rc1-1 python3.6-dev_3.6.4~rc1-1 python3.6-minimal_3.6.4~rc1-1 raspbian-archive-keyring_20120528.2 readline-common_7.0-3 sbuild-build-depends-core-dummy_0.invalid.0 sbuild-build-depends-scikit-learn-dummy_0.invalid.0 sed_4.4-1 sensible-utils_0.0.11 shared-mime-info_1.9-2 systemd_235-3 sysvinit-utils_2.88dsf-59.10 tar_1.29b-2 ttf-bitstream-vera_1.10-8 tzdata_2017c-1 ucf_3.0036 udev_235-3 util-linux_2.30.2-0.1 xz-utils_5.2.2-1.3 zlib1g_1:1.2.8.dfsg-5
+------------------------------------------------------------------------------+
| Build |
+------------------------------------------------------------------------------+
Unpack source
-------------
gpgv: unknown type of key resource 'trustedkeys.kbx'
gpgv: keyblock resource '/sbuild-nonexistent/.gnupg/trustedkeys.kbx': General error
gpgv: Signature made Tue Dec 5 14:08:24 2017 UTC
gpgv: using RSA key C5B905F0E8D9FD9668FF366FA2DE235062DA33FA
gpgv: Can't check signature: No public key
dpkg-source: warning: failed to verify signature on ./scikit-learn_0.19.1-2.dsc
dpkg-source: info: extracting scikit-learn in /<<PKGBUILDDIR>>
dpkg-source: info: unpacking scikit-learn_0.19.1.orig.tar.gz
dpkg-source: info: unpacking scikit-learn_0.19.1-2.debian.tar.xz
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
Check disc 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=109
SCHROOT_GROUP=buildd
SCHROOT_SESSION_ID=buster-staging-armhf-sbuild-65c4fa1b-9cdf-4e42-8af1-d992da0fc7ae
SCHROOT_UID=104
SCHROOT_USER=buildd
SHELL=/bin/sh
TERM=linux
USER=buildd
dpkg-buildpackage
-----------------
dpkg-buildpackage: info: source package scikit-learn
dpkg-buildpackage: info: source version 0.19.1-2
dpkg-buildpackage: info: source distribution unstable
dpkg-source --before-build scikit-learn-0.19.1
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
python setup.py clean -a
Partial import of sklearn during the build process.
running clean
'build/lib.linux-armv7l-2.7' does not exist -- can't clean it
'build/bdist.linux-armv7l' 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' !
make[1]: Leaving directory '/<<PKGBUILDDIR>>'
dh_auto_build -a -O--buildsystem=python_distutils
python setup.py build --force
Partial import of sklearn during the build process.
blas_opt_info:
blas_mkl_info:
libraries mkl_rt not found in ['/usr/local/lib', '/usr/lib', '/usr/lib/arm-linux-gnueabihf']
NOT AVAILABLE
blis_info:
libraries blis not found in ['/usr/local/lib', '/usr/lib', '/usr/lib/arm-linux-gnueabihf']
NOT AVAILABLE
openblas_info:
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
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:
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
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:
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:572: 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:
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:572: 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:572: 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:72: 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'
Warning: Extension name 'sklearn.metrics/cluster.expected_mutual_info_fast' does not match fully qualified name 'sklearn.metrics.cluster.expected_mutual_info_fast' of 'sklearn/metrics/cluster/expected_mutual_info_fast.pyx'
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/pairwise_fast.pyx because it changed.
Compiling sklearn/metrics/cluster/expected_mutual_info_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.pairwise_fast" sources
building extension "sklearn.metrics/cluster.expected_mutual_info_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-armv7l-2.7
creating build/lib.linux-armv7l-2.7/sklearn
copying sklearn/__init__.py -> build/lib.linux-armv7l-2.7/sklearn
copying sklearn/base.py -> build/lib.linux-armv7l-2.7/sklearn
copying sklearn/calibration.py -> build/lib.linux-armv7l-2.7/sklearn
copying sklearn/cross_validation.py -> build/lib.linux-armv7l-2.7/sklearn
copying sklearn/discriminant_analysis.py -> build/lib.linux-armv7l-2.7/sklearn
copying sklearn/dummy.py -> build/lib.linux-armv7l-2.7/sklearn
copying sklearn/exceptions.py -> build/lib.linux-armv7l-2.7/sklearn
copying sklearn/grid_search.py -> build/lib.linux-armv7l-2.7/sklearn
copying sklearn/isotonic.py -> build/lib.linux-armv7l-2.7/sklearn
copying sklearn/kernel_approximation.py -> build/lib.linux-armv7l-2.7/sklearn
copying sklearn/kernel_ridge.py -> build/lib.linux-armv7l-2.7/sklearn
copying sklearn/learning_curve.py -> build/lib.linux-armv7l-2.7/sklearn
copying sklearn/multiclass.py -> build/lib.linux-armv7l-2.7/sklearn
copying sklearn/multioutput.py -> build/lib.linux-armv7l-2.7/sklearn
copying sklearn/naive_bayes.py -> build/lib.linux-armv7l-2.7/sklearn
copying sklearn/pipeline.py -> build/lib.linux-armv7l-2.7/sklearn
copying sklearn/random_projection.py -> build/lib.linux-armv7l-2.7/sklearn
copying sklearn/setup.py -> build/lib.linux-armv7l-2.7/sklearn
creating build/lib.linux-armv7l-2.7/sklearn/__check_build
copying sklearn/__check_build/__init__.py -> build/lib.linux-armv7l-2.7/sklearn/__check_build
copying sklearn/__check_build/setup.py -> build/lib.linux-armv7l-2.7/sklearn/__check_build
creating build/lib.linux-armv7l-2.7/sklearn/_build_utils
copying sklearn/_build_utils/__init__.py -> build/lib.linux-armv7l-2.7/sklearn/_build_utils
creating build/lib.linux-armv7l-2.7/sklearn/covariance
copying sklearn/covariance/__init__.py -> build/lib.linux-armv7l-2.7/sklearn/covariance
copying sklearn/covariance/empirical_covariance_.py -> build/lib.linux-armv7l-2.7/sklearn/covariance
copying sklearn/covariance/graph_lasso_.py -> build/lib.linux-armv7l-2.7/sklearn/covariance
copying sklearn/covariance/outlier_detection.py -> build/lib.linux-armv7l-2.7/sklearn/covariance
copying sklearn/covariance/robust_covariance.py -> build/lib.linux-armv7l-2.7/sklearn/covariance
copying sklearn/covariance/shrunk_covariance_.py -> build/lib.linux-armv7l-2.7/sklearn/covariance
creating build/lib.linux-armv7l-2.7/sklearn/covariance/tests
copying sklearn/covariance/tests/__init__.py -> build/lib.linux-armv7l-2.7/sklearn/covariance/tests
copying sklearn/covariance/tests/test_covariance.py -> build/lib.linux-armv7l-2.7/sklearn/covariance/tests
copying sklearn/covariance/tests/test_graph_lasso.py -> build/lib.linux-armv7l-2.7/sklearn/covariance/tests
copying sklearn/covariance/tests/test_robust_covariance.py -> build/lib.linux-armv7l-2.7/sklearn/covariance/tests
creating build/lib.linux-armv7l-2.7/sklearn/cross_decomposition
copying sklearn/cross_decomposition/__init__.py -> build/lib.linux-armv7l-2.7/sklearn/cross_decomposition
copying sklearn/cross_decomposition/cca_.py -> build/lib.linux-armv7l-2.7/sklearn/cross_decomposition
copying sklearn/cross_decomposition/pls_.py -> build/lib.linux-armv7l-2.7/sklearn/cross_decomposition
creating build/lib.linux-armv7l-2.7/sklearn/cross_decomposition/tests
copying sklearn/cross_decomposition/tests/__init__.py -> build/lib.linux-armv7l-2.7/sklearn/cross_decomposition/tests
copying sklearn/cross_decomposition/tests/test_pls.py -> build/lib.linux-armv7l-2.7/sklearn/cross_decomposition/tests
creating build/lib.linux-armv7l-2.7/sklearn/feature_selection
copying sklearn/feature_selection/__init__.py -> build/lib.linux-armv7l-2.7/sklearn/feature_selection
copying sklearn/feature_selection/base.py -> build/lib.linux-armv7l-2.7/sklearn/feature_selection
copying sklearn/feature_selection/from_model.py -> build/lib.linux-armv7l-2.7/sklearn/feature_selection
copying sklearn/feature_selection/mutual_info_.py -> build/lib.linux-armv7l-2.7/sklearn/feature_selection
copying sklearn/feature_selection/rfe.py -> build/lib.linux-armv7l-2.7/sklearn/feature_selection
copying sklearn/feature_selection/univariate_selection.py -> build/lib.linux-armv7l-2.7/sklearn/feature_selection
copying sklearn/feature_selection/variance_threshold.py -> build/lib.linux-armv7l-2.7/sklearn/feature_selection
creating build/lib.linux-armv7l-2.7/sklearn/feature_selection/tests
copying sklearn/feature_selection/tests/__init__.py -> build/lib.linux-armv7l-2.7/sklearn/feature_selection/tests
copying sklearn/feature_selection/tests/test_base.py -> build/lib.linux-armv7l-2.7/sklearn/feature_selection/tests
copying sklearn/feature_selection/tests/test_chi2.py -> build/lib.linux-armv7l-2.7/sklearn/feature_selection/tests
copying sklearn/feature_selection/tests/test_feature_select.py -> build/lib.linux-armv7l-2.7/sklearn/feature_selection/tests
copying sklearn/feature_selection/tests/test_from_model.py -> build/lib.linux-armv7l-2.7/sklearn/feature_selection/tests
copying sklearn/feature_selection/tests/test_mutual_info.py -> build/lib.linux-armv7l-2.7/sklearn/feature_selection/tests
copying sklearn/feature_selection/tests/test_rfe.py -> build/lib.linux-armv7l-2.7/sklearn/feature_selection/tests
copying sklearn/feature_selection/tests/test_variance_threshold.py -> build/lib.linux-armv7l-2.7/sklearn/feature_selection/tests
creating build/lib.linux-armv7l-2.7/sklearn/gaussian_process
copying sklearn/gaussian_process/__init__.py -> build/lib.linux-armv7l-2.7/sklearn/gaussian_process
copying sklearn/gaussian_process/correlation_models.py -> build/lib.linux-armv7l-2.7/sklearn/gaussian_process
copying sklearn/gaussian_process/gaussian_process.py -> build/lib.linux-armv7l-2.7/sklearn/gaussian_process
copying sklearn/gaussian_process/gpc.py -> build/lib.linux-armv7l-2.7/sklearn/gaussian_process
copying sklearn/gaussian_process/gpr.py -> build/lib.linux-armv7l-2.7/sklearn/gaussian_process
copying sklearn/gaussian_process/kernels.py -> build/lib.linux-armv7l-2.7/sklearn/gaussian_process
copying sklearn/gaussian_process/regression_models.py -> build/lib.linux-armv7l-2.7/sklearn/gaussian_process
creating build/lib.linux-armv7l-2.7/sklearn/gaussian_process/tests
copying sklearn/gaussian_process/tests/__init__.py -> build/lib.linux-armv7l-2.7/sklearn/gaussian_process/tests
copying sklearn/gaussian_process/tests/test_gaussian_process.py -> build/lib.linux-armv7l-2.7/sklearn/gaussian_process/tests
copying sklearn/gaussian_process/tests/test_gpc.py -> build/lib.linux-armv7l-2.7/sklearn/gaussian_process/tests
copying sklearn/gaussian_process/tests/test_gpr.py -> build/lib.linux-armv7l-2.7/sklearn/gaussian_process/tests
copying sklearn/gaussian_process/tests/test_kernels.py -> build/lib.linux-armv7l-2.7/sklearn/gaussian_process/tests
creating build/lib.linux-armv7l-2.7/sklearn/mixture
copying sklearn/mixture/__init__.py -> build/lib.linux-armv7l-2.7/sklearn/mixture
copying sklearn/mixture/base.py -> build/lib.linux-armv7l-2.7/sklearn/mixture
copying sklearn/mixture/bayesian_mixture.py -> build/lib.linux-armv7l-2.7/sklearn/mixture
copying sklearn/mixture/dpgmm.py -> build/lib.linux-armv7l-2.7/sklearn/mixture
copying sklearn/mixture/gaussian_mixture.py -> build/lib.linux-armv7l-2.7/sklearn/mixture
copying sklearn/mixture/gmm.py -> build/lib.linux-armv7l-2.7/sklearn/mixture
creating build/lib.linux-armv7l-2.7/sklearn/mixture/tests
copying sklearn/mixture/tests/__init__.py -> build/lib.linux-armv7l-2.7/sklearn/mixture/tests
copying sklearn/mixture/tests/test_bayesian_mixture.py -> build/lib.linux-armv7l-2.7/sklearn/mixture/tests
copying sklearn/mixture/tests/test_dpgmm.py -> build/lib.linux-armv7l-2.7/sklearn/mixture/tests
copying sklearn/mixture/tests/test_gaussian_mixture.py -> build/lib.linux-armv7l-2.7/sklearn/mixture/tests
copying sklearn/mixture/tests/test_gmm.py -> build/lib.linux-armv7l-2.7/sklearn/mixture/tests
creating build/lib.linux-armv7l-2.7/sklearn/model_selection
copying sklearn/model_selection/__init__.py -> build/lib.linux-armv7l-2.7/sklearn/model_selection
copying sklearn/model_selection/_search.py -> build/lib.linux-armv7l-2.7/sklearn/model_selection
copying sklearn/model_selection/_split.py -> build/lib.linux-armv7l-2.7/sklearn/model_selection
copying sklearn/model_selection/_validation.py -> build/lib.linux-armv7l-2.7/sklearn/model_selection
creating build/lib.linux-armv7l-2.7/sklearn/model_selection/tests
copying sklearn/model_selection/tests/__init__.py -> build/lib.linux-armv7l-2.7/sklearn/model_selection/tests
copying sklearn/model_selection/tests/common.py -> build/lib.linux-armv7l-2.7/sklearn/model_selection/tests
copying sklearn/model_selection/tests/test_split.py -> build/lib.linux-armv7l-2.7/sklearn/model_selection/tests
copying sklearn/model_selection/tests/test_validation.py -> build/lib.linux-armv7l-2.7/sklearn/model_selection/tests
copying sklearn/model_selection/tests/test_search.py -> build/lib.linux-armv7l-2.7/sklearn/model_selection/tests
creating build/lib.linux-armv7l-2.7/sklearn/neural_network
copying sklearn/neural_network/__init__.py -> build/lib.linux-armv7l-2.7/sklearn/neural_network
copying sklearn/neural_network/_base.py -> build/lib.linux-armv7l-2.7/sklearn/neural_network
copying sklearn/neural_network/_stochastic_optimizers.py -> build/lib.linux-armv7l-2.7/sklearn/neural_network
copying sklearn/neural_network/multilayer_perceptron.py -> build/lib.linux-armv7l-2.7/sklearn/neural_network
copying sklearn/neural_network/rbm.py -> build/lib.linux-armv7l-2.7/sklearn/neural_network
creating build/lib.linux-armv7l-2.7/sklearn/neural_network/tests
copying sklearn/neural_network/tests/__init__.py -> build/lib.linux-armv7l-2.7/sklearn/neural_network/tests
copying sklearn/neural_network/tests/test_mlp.py -> build/lib.linux-armv7l-2.7/sklearn/neural_network/tests
copying sklearn/neural_network/tests/test_rbm.py -> build/lib.linux-armv7l-2.7/sklearn/neural_network/tests
copying sklearn/neural_network/tests/test_stochastic_optimizers.py -> build/lib.linux-armv7l-2.7/sklearn/neural_network/tests
creating build/lib.linux-armv7l-2.7/sklearn/preprocessing
copying sklearn/preprocessing/__init__.py -> build/lib.linux-armv7l-2.7/sklearn/preprocessing
copying sklearn/preprocessing/_function_transformer.py -> build/lib.linux-armv7l-2.7/sklearn/preprocessing
copying sklearn/preprocessing/data.py -> build/lib.linux-armv7l-2.7/sklearn/preprocessing
copying sklearn/preprocessing/imputation.py -> build/lib.linux-armv7l-2.7/sklearn/preprocessing
copying sklearn/preprocessing/label.py -> build/lib.linux-armv7l-2.7/sklearn/preprocessing
creating build/lib.linux-armv7l-2.7/sklearn/preprocessing/tests
copying sklearn/preprocessing/tests/__init__.py -> build/lib.linux-armv7l-2.7/sklearn/preprocessing/tests
copying sklearn/preprocessing/tests/test_data.py -> build/lib.linux-armv7l-2.7/sklearn/preprocessing/tests
copying sklearn/preprocessing/tests/test_function_transformer.py -> build/lib.linux-armv7l-2.7/sklearn/preprocessing/tests
copying sklearn/preprocessing/tests/test_imputation.py -> build/lib.linux-armv7l-2.7/sklearn/preprocessing/tests
copying sklearn/preprocessing/tests/test_label.py -> build/lib.linux-armv7l-2.7/sklearn/preprocessing/tests
creating build/lib.linux-armv7l-2.7/sklearn/semi_supervised
copying sklearn/semi_supervised/__init__.py -> build/lib.linux-armv7l-2.7/sklearn/semi_supervised
copying sklearn/semi_supervised/label_propagation.py -> build/lib.linux-armv7l-2.7/sklearn/semi_supervised
creating build/lib.linux-armv7l-2.7/sklearn/semi_supervised/tests
copying sklearn/semi_supervised/tests/__init__.py -> build/lib.linux-armv7l-2.7/sklearn/semi_supervised/tests
copying sklearn/semi_supervised/tests/test_label_propagation.py -> build/lib.linux-armv7l-2.7/sklearn/semi_supervised/tests
creating build/lib.linux-armv7l-2.7/sklearn/cluster
copying sklearn/cluster/__init__.py -> build/lib.linux-armv7l-2.7/sklearn/cluster
copying sklearn/cluster/_feature_agglomeration.py -> build/lib.linux-armv7l-2.7/sklearn/cluster
copying sklearn/cluster/affinity_propagation_.py -> build/lib.linux-armv7l-2.7/sklearn/cluster
copying sklearn/cluster/bicluster.py -> build/lib.linux-armv7l-2.7/sklearn/cluster
copying sklearn/cluster/birch.py -> build/lib.linux-armv7l-2.7/sklearn/cluster
copying sklearn/cluster/dbscan_.py -> build/lib.linux-armv7l-2.7/sklearn/cluster
copying sklearn/cluster/hierarchical.py -> build/lib.linux-armv7l-2.7/sklearn/cluster
copying sklearn/cluster/k_means_.py -> build/lib.linux-armv7l-2.7/sklearn/cluster
copying sklearn/cluster/mean_shift_.py -> build/lib.linux-armv7l-2.7/sklearn/cluster
copying sklearn/cluster/setup.py -> build/lib.linux-armv7l-2.7/sklearn/cluster
copying sklearn/cluster/spectral.py -> build/lib.linux-armv7l-2.7/sklearn/cluster
creating build/lib.linux-armv7l-2.7/sklearn/cluster/tests
copying sklearn/cluster/tests/__init__.py -> build/lib.linux-armv7l-2.7/sklearn/cluster/tests
copying sklearn/cluster/tests/common.py -> build/lib.linux-armv7l-2.7/sklearn/cluster/tests
copying sklearn/cluster/tests/test_affinity_propagation.py -> build/lib.linux-armv7l-2.7/sklearn/cluster/tests
copying sklearn/cluster/tests/test_bicluster.py -> build/lib.linux-armv7l-2.7/sklearn/cluster/tests
copying sklearn/cluster/tests/test_birch.py -> build/lib.linux-armv7l-2.7/sklearn/cluster/tests
copying sklearn/cluster/tests/test_dbscan.py -> build/lib.linux-armv7l-2.7/sklearn/cluster/tests
copying sklearn/cluster/tests/test_hierarchical.py -> build/lib.linux-armv7l-2.7/sklearn/cluster/tests
copying sklearn/cluster/tests/test_k_means.py -> build/lib.linux-armv7l-2.7/sklearn/cluster/tests
copying sklearn/cluster/tests/test_mean_shift.py -> build/lib.linux-armv7l-2.7/sklearn/cluster/tests
copying sklearn/cluster/tests/test_spectral.py -> build/lib.linux-armv7l-2.7/sklearn/cluster/tests
creating build/lib.linux-armv7l-2.7/sklearn/datasets
copying sklearn/datasets/__init__.py -> build/lib.linux-armv7l-2.7/sklearn/datasets
copying sklearn/datasets/base.py -> build/lib.linux-armv7l-2.7/sklearn/datasets
copying sklearn/datasets/california_housing.py -> build/lib.linux-armv7l-2.7/sklearn/datasets
copying sklearn/datasets/covtype.py -> build/lib.linux-armv7l-2.7/sklearn/datasets
copying sklearn/datasets/kddcup99.py -> build/lib.linux-armv7l-2.7/sklearn/datasets
copying sklearn/datasets/mlcomp.py -> build/lib.linux-armv7l-2.7/sklearn/datasets
copying sklearn/datasets/mldata.py -> build/lib.linux-armv7l-2.7/sklearn/datasets
copying sklearn/datasets/olivetti_faces.py -> build/lib.linux-armv7l-2.7/sklearn/datasets
copying sklearn/datasets/rcv1.py -> build/lib.linux-armv7l-2.7/sklearn/datasets
copying sklearn/datasets/samples_generator.py -> build/lib.linux-armv7l-2.7/sklearn/datasets
copying sklearn/datasets/setup.py -> build/lib.linux-armv7l-2.7/sklearn/datasets
copying sklearn/datasets/species_distributions.py -> build/lib.linux-armv7l-2.7/sklearn/datasets
copying sklearn/datasets/svmlight_format.py -> build/lib.linux-armv7l-2.7/sklearn/datasets
copying sklearn/datasets/twenty_newsgroups.py -> build/lib.linux-armv7l-2.7/sklearn/datasets
copying sklearn/datasets/lfw.py -> build/lib.linux-armv7l-2.7/sklearn/datasets
creating build/lib.linux-armv7l-2.7/sklearn/datasets/tests
copying sklearn/datasets/tests/__init__.py -> build/lib.linux-armv7l-2.7/sklearn/datasets/tests
copying sklearn/datasets/tests/test_20news.py -> build/lib.linux-armv7l-2.7/sklearn/datasets/tests
copying sklearn/datasets/tests/test_base.py -> build/lib.linux-armv7l-2.7/sklearn/datasets/tests
copying sklearn/datasets/tests/test_covtype.py -> build/lib.linux-armv7l-2.7/sklearn/datasets/tests
copying sklearn/datasets/tests/test_kddcup99.py -> build/lib.linux-armv7l-2.7/sklearn/datasets/tests
copying sklearn/datasets/tests/test_lfw.py -> build/lib.linux-armv7l-2.7/sklearn/datasets/tests
copying sklearn/datasets/tests/test_mldata.py -> build/lib.linux-armv7l-2.7/sklearn/datasets/tests
copying sklearn/datasets/tests/test_rcv1.py -> build/lib.linux-armv7l-2.7/sklearn/datasets/tests
copying sklearn/datasets/tests/test_samples_generator.py -> build/lib.linux-armv7l-2.7/sklearn/datasets/tests
copying sklearn/datasets/tests/test_svmlight_format.py -> build/lib.linux-armv7l-2.7/sklearn/datasets/tests
creating build/lib.linux-armv7l-2.7/sklearn/decomposition
copying sklearn/decomposition/__init__.py -> build/lib.linux-armv7l-2.7/sklearn/decomposition
copying sklearn/decomposition/base.py -> build/lib.linux-armv7l-2.7/sklearn/decomposition
copying sklearn/decomposition/dict_learning.py -> build/lib.linux-armv7l-2.7/sklearn/decomposition
copying sklearn/decomposition/factor_analysis.py -> build/lib.linux-armv7l-2.7/sklearn/decomposition
copying sklearn/decomposition/fastica_.py -> build/lib.linux-armv7l-2.7/sklearn/decomposition
copying sklearn/decomposition/incremental_pca.py -> build/lib.linux-armv7l-2.7/sklearn/decomposition
copying sklearn/decomposition/kernel_pca.py -> build/lib.linux-armv7l-2.7/sklearn/decomposition
copying sklearn/decomposition/nmf.py -> build/lib.linux-armv7l-2.7/sklearn/decomposition
copying sklearn/decomposition/online_lda.py -> build/lib.linux-armv7l-2.7/sklearn/decomposition
copying sklearn/decomposition/pca.py -> build/lib.linux-armv7l-2.7/sklearn/decomposition
copying sklearn/decomposition/setup.py -> build/lib.linux-armv7l-2.7/sklearn/decomposition
copying sklearn/decomposition/sparse_pca.py -> build/lib.linux-armv7l-2.7/sklearn/decomposition
copying sklearn/decomposition/truncated_svd.py -> build/lib.linux-armv7l-2.7/sklearn/decomposition
creating build/lib.linux-armv7l-2.7/sklearn/decomposition/tests
copying sklearn/decomposition/tests/__init__.py -> build/lib.linux-armv7l-2.7/sklearn/decomposition/tests
copying sklearn/decomposition/tests/test_dict_learning.py -> build/lib.linux-armv7l-2.7/sklearn/decomposition/tests
copying sklearn/decomposition/tests/test_factor_analysis.py -> build/lib.linux-armv7l-2.7/sklearn/decomposition/tests
copying sklearn/decomposition/tests/test_fastica.py -> build/lib.linux-armv7l-2.7/sklearn/decomposition/tests
copying sklearn/decomposition/tests/test_incremental_pca.py -> build/lib.linux-armv7l-2.7/sklearn/decomposition/tests
copying sklearn/decomposition/tests/test_kernel_pca.py -> build/lib.linux-armv7l-2.7/sklearn/decomposition/tests
copying sklearn/decomposition/tests/test_nmf.py -> build/lib.linux-armv7l-2.7/sklearn/decomposition/tests
copying sklearn/decomposition/tests/test_online_lda.py -> build/lib.linux-armv7l-2.7/sklearn/decomposition/tests
copying sklearn/decomposition/tests/test_pca.py -> build/lib.linux-armv7l-2.7/sklearn/decomposition/tests
copying sklearn/decomposition/tests/test_sparse_pca.py -> build/lib.linux-armv7l-2.7/sklearn/decomposition/tests
copying sklearn/decomposition/tests/test_truncated_svd.py -> build/lib.linux-armv7l-2.7/sklearn/decomposition/tests
creating build/lib.linux-armv7l-2.7/sklearn/ensemble
copying sklearn/ensemble/__init__.py -> build/lib.linux-armv7l-2.7/sklearn/ensemble
copying sklearn/ensemble/bagging.py -> build/lib.linux-armv7l-2.7/sklearn/ensemble
copying sklearn/ensemble/base.py -> build/lib.linux-armv7l-2.7/sklearn/ensemble
copying sklearn/ensemble/forest.py -> build/lib.linux-armv7l-2.7/sklearn/ensemble
copying sklearn/ensemble/gradient_boosting.py -> build/lib.linux-armv7l-2.7/sklearn/ensemble
copying sklearn/ensemble/iforest.py -> build/lib.linux-armv7l-2.7/sklearn/ensemble
copying sklearn/ensemble/partial_dependence.py -> build/lib.linux-armv7l-2.7/sklearn/ensemble
copying sklearn/ensemble/setup.py -> build/lib.linux-armv7l-2.7/sklearn/ensemble
copying sklearn/ensemble/voting_classifier.py -> build/lib.linux-armv7l-2.7/sklearn/ensemble
copying sklearn/ensemble/weight_boosting.py -> build/lib.linux-armv7l-2.7/sklearn/ensemble
creating build/lib.linux-armv7l-2.7/sklearn/ensemble/tests
copying sklearn/ensemble/tests/__init__.py -> build/lib.linux-armv7l-2.7/sklearn/ensemble/tests
copying sklearn/ensemble/tests/test_bagging.py -> build/lib.linux-armv7l-2.7/sklearn/ensemble/tests
copying sklearn/ensemble/tests/test_base.py -> build/lib.linux-armv7l-2.7/sklearn/ensemble/tests
copying sklearn/ensemble/tests/test_forest.py -> build/lib.linux-armv7l-2.7/sklearn/ensemble/tests
copying sklearn/ensemble/tests/test_gradient_boosting.py -> build/lib.linux-armv7l-2.7/sklearn/ensemble/tests
copying sklearn/ensemble/tests/test_gradient_boosting_loss_functions.py -> build/lib.linux-armv7l-2.7/sklearn/ensemble/tests
copying sklearn/ensemble/tests/test_iforest.py -> build/lib.linux-armv7l-2.7/sklearn/ensemble/tests
copying sklearn/ensemble/tests/test_partial_dependence.py -> build/lib.linux-armv7l-2.7/sklearn/ensemble/tests
copying sklearn/ensemble/tests/test_voting_classifier.py -> build/lib.linux-armv7l-2.7/sklearn/ensemble/tests
copying sklearn/ensemble/tests/test_weight_boosting.py -> build/lib.linux-armv7l-2.7/sklearn/ensemble/tests
creating build/lib.linux-armv7l-2.7/sklearn/externals
copying sklearn/externals/__init__.py -> build/lib.linux-armv7l-2.7/sklearn/externals
copying sklearn/externals/funcsigs.py -> build/lib.linux-armv7l-2.7/sklearn/externals
copying sklearn/externals/setup.py -> build/lib.linux-armv7l-2.7/sklearn/externals
copying sklearn/externals/six.py -> build/lib.linux-armv7l-2.7/sklearn/externals
copying sklearn/externals/test_externals_setup.py -> build/lib.linux-armv7l-2.7/sklearn/externals
creating build/lib.linux-armv7l-2.7/sklearn/externals/joblib
copying sklearn/externals/joblib/__init__.py -> build/lib.linux-armv7l-2.7/sklearn/externals/joblib
creating build/lib.linux-armv7l-2.7/sklearn/feature_extraction
copying sklearn/feature_extraction/__init__.py -> build/lib.linux-armv7l-2.7/sklearn/feature_extraction
copying sklearn/feature_extraction/dict_vectorizer.py -> build/lib.linux-armv7l-2.7/sklearn/feature_extraction
copying sklearn/feature_extraction/hashing.py -> build/lib.linux-armv7l-2.7/sklearn/feature_extraction
copying sklearn/feature_extraction/image.py -> build/lib.linux-armv7l-2.7/sklearn/feature_extraction
copying sklearn/feature_extraction/setup.py -> build/lib.linux-armv7l-2.7/sklearn/feature_extraction
copying sklearn/feature_extraction/stop_words.py -> build/lib.linux-armv7l-2.7/sklearn/feature_extraction
copying sklearn/feature_extraction/text.py -> build/lib.linux-armv7l-2.7/sklearn/feature_extraction
creating build/lib.linux-armv7l-2.7/sklearn/feature_extraction/tests
copying sklearn/feature_extraction/tests/__init__.py -> build/lib.linux-armv7l-2.7/sklearn/feature_extraction/tests
copying sklearn/feature_extraction/tests/test_dict_vectorizer.py -> build/lib.linux-armv7l-2.7/sklearn/feature_extraction/tests
copying sklearn/feature_extraction/tests/test_feature_hasher.py -> build/lib.linux-armv7l-2.7/sklearn/feature_extraction/tests
copying sklearn/feature_extraction/tests/test_image.py -> build/lib.linux-armv7l-2.7/sklearn/feature_extraction/tests
copying sklearn/feature_extraction/tests/test_text.py -> build/lib.linux-armv7l-2.7/sklearn/feature_extraction/tests
creating build/lib.linux-armv7l-2.7/sklearn/manifold
copying sklearn/manifold/__init__.py -> build/lib.linux-armv7l-2.7/sklearn/manifold
copying sklearn/manifold/isomap.py -> build/lib.linux-armv7l-2.7/sklearn/manifold
copying sklearn/manifold/locally_linear.py -> build/lib.linux-armv7l-2.7/sklearn/manifold
copying sklearn/manifold/mds.py -> build/lib.linux-armv7l-2.7/sklearn/manifold
copying sklearn/manifold/setup.py -> build/lib.linux-armv7l-2.7/sklearn/manifold
copying sklearn/manifold/spectral_embedding_.py -> build/lib.linux-armv7l-2.7/sklearn/manifold
copying sklearn/manifold/t_sne.py -> build/lib.linux-armv7l-2.7/sklearn/manifold
creating build/lib.linux-armv7l-2.7/sklearn/manifold/tests
copying sklearn/manifold/tests/__init__.py -> build/lib.linux-armv7l-2.7/sklearn/manifold/tests
copying sklearn/manifold/tests/test_isomap.py -> build/lib.linux-armv7l-2.7/sklearn/manifold/tests
copying sklearn/manifold/tests/test_locally_linear.py -> build/lib.linux-armv7l-2.7/sklearn/manifold/tests
copying sklearn/manifold/tests/test_mds.py -> build/lib.linux-armv7l-2.7/sklearn/manifold/tests
copying sklearn/manifold/tests/test_spectral_embedding.py -> build/lib.linux-armv7l-2.7/sklearn/manifold/tests
copying sklearn/manifold/tests/test_t_sne.py -> build/lib.linux-armv7l-2.7/sklearn/manifold/tests
creating build/lib.linux-armv7l-2.7/sklearn/metrics
copying sklearn/metrics/__init__.py -> build/lib.linux-armv7l-2.7/sklearn/metrics
copying sklearn/metrics/base.py -> build/lib.linux-armv7l-2.7/sklearn/metrics
copying sklearn/metrics/classification.py -> build/lib.linux-armv7l-2.7/sklearn/metrics
copying sklearn/metrics/ranking.py -> build/lib.linux-armv7l-2.7/sklearn/metrics
copying sklearn/metrics/regression.py -> build/lib.linux-armv7l-2.7/sklearn/metrics
copying sklearn/metrics/scorer.py -> build/lib.linux-armv7l-2.7/sklearn/metrics
copying sklearn/metrics/setup.py -> build/lib.linux-armv7l-2.7/sklearn/metrics
copying sklearn/metrics/pairwise.py -> build/lib.linux-armv7l-2.7/sklearn/metrics
creating build/lib.linux-armv7l-2.7/sklearn/metrics/tests
copying sklearn/metrics/tests/__init__.py -> build/lib.linux-armv7l-2.7/sklearn/metrics/tests
copying sklearn/metrics/tests/test_classification.py -> build/lib.linux-armv7l-2.7/sklearn/metrics/tests
copying sklearn/metrics/tests/test_common.py -> build/lib.linux-armv7l-2.7/sklearn/metrics/tests
copying sklearn/metrics/tests/test_pairwise.py -> build/lib.linux-armv7l-2.7/sklearn/metrics/tests
copying sklearn/metrics/tests/test_regression.py -> build/lib.linux-armv7l-2.7/sklearn/metrics/tests
copying sklearn/metrics/tests/test_score_objects.py -> build/lib.linux-armv7l-2.7/sklearn/metrics/tests
copying sklearn/metrics/tests/test_ranking.py -> build/lib.linux-armv7l-2.7/sklearn/metrics/tests
creating build/lib.linux-armv7l-2.7/sklearn/metrics/cluster
copying sklearn/metrics/cluster/__init__.py -> build/lib.linux-armv7l-2.7/sklearn/metrics/cluster
copying sklearn/metrics/cluster/bicluster.py -> build/lib.linux-armv7l-2.7/sklearn/metrics/cluster
copying sklearn/metrics/cluster/setup.py -> build/lib.linux-armv7l-2.7/sklearn/metrics/cluster
copying sklearn/metrics/cluster/supervised.py -> build/lib.linux-armv7l-2.7/sklearn/metrics/cluster
copying sklearn/metrics/cluster/unsupervised.py -> build/lib.linux-armv7l-2.7/sklearn/metrics/cluster
creating build/lib.linux-armv7l-2.7/sklearn/metrics/cluster/tests
copying sklearn/metrics/cluster/tests/__init__.py -> build/lib.linux-armv7l-2.7/sklearn/metrics/cluster/tests
copying sklearn/metrics/cluster/tests/test_bicluster.py -> build/lib.linux-armv7l-2.7/sklearn/metrics/cluster/tests
copying sklearn/metrics/cluster/tests/test_supervised.py -> build/lib.linux-armv7l-2.7/sklearn/metrics/cluster/tests
copying sklearn/metrics/cluster/tests/test_unsupervised.py -> build/lib.linux-armv7l-2.7/sklearn/metrics/cluster/tests
creating build/lib.linux-armv7l-2.7/sklearn/neighbors
copying sklearn/neighbors/__init__.py -> build/lib.linux-armv7l-2.7/sklearn/neighbors
copying sklearn/neighbors/approximate.py -> build/lib.linux-armv7l-2.7/sklearn/neighbors
copying sklearn/neighbors/base.py -> build/lib.linux-armv7l-2.7/sklearn/neighbors
copying sklearn/neighbors/classification.py -> build/lib.linux-armv7l-2.7/sklearn/neighbors
copying sklearn/neighbors/graph.py -> build/lib.linux-armv7l-2.7/sklearn/neighbors
copying sklearn/neighbors/kde.py -> build/lib.linux-armv7l-2.7/sklearn/neighbors
copying sklearn/neighbors/lof.py -> build/lib.linux-armv7l-2.7/sklearn/neighbors
copying sklearn/neighbors/nearest_centroid.py -> build/lib.linux-armv7l-2.7/sklearn/neighbors
copying sklearn/neighbors/regression.py -> build/lib.linux-armv7l-2.7/sklearn/neighbors
copying sklearn/neighbors/setup.py -> build/lib.linux-armv7l-2.7/sklearn/neighbors
copying sklearn/neighbors/unsupervised.py -> build/lib.linux-armv7l-2.7/sklearn/neighbors
creating build/lib.linux-armv7l-2.7/sklearn/neighbors/tests
copying sklearn/neighbors/tests/__init__.py -> build/lib.linux-armv7l-2.7/sklearn/neighbors/tests
copying sklearn/neighbors/tests/test_ball_tree.py -> build/lib.linux-armv7l-2.7/sklearn/neighbors/tests
copying sklearn/neighbors/tests/test_dist_metrics.py -> build/lib.linux-armv7l-2.7/sklearn/neighbors/tests
copying sklearn/neighbors/tests/test_kd_tree.py -> build/lib.linux-armv7l-2.7/sklearn/neighbors/tests
copying sklearn/neighbors/tests/test_kde.py -> build/lib.linux-armv7l-2.7/sklearn/neighbors/tests
copying sklearn/neighbors/tests/test_lof.py -> build/lib.linux-armv7l-2.7/sklearn/neighbors/tests
copying sklearn/neighbors/tests/test_nearest_centroid.py -> build/lib.linux-armv7l-2.7/sklearn/neighbors/tests
copying sklearn/neighbors/tests/test_neighbors.py -> build/lib.linux-armv7l-2.7/sklearn/neighbors/tests
copying sklearn/neighbors/tests/test_quad_tree.py -> build/lib.linux-armv7l-2.7/sklearn/neighbors/tests
copying sklearn/neighbors/tests/test_approximate.py -> build/lib.linux-armv7l-2.7/sklearn/neighbors/tests
creating build/lib.linux-armv7l-2.7/sklearn/tree
copying sklearn/tree/__init__.py -> build/lib.linux-armv7l-2.7/sklearn/tree
copying sklearn/tree/export.py -> build/lib.linux-armv7l-2.7/sklearn/tree
copying sklearn/tree/setup.py -> build/lib.linux-armv7l-2.7/sklearn/tree
copying sklearn/tree/tree.py -> build/lib.linux-armv7l-2.7/sklearn/tree
creating build/lib.linux-armv7l-2.7/sklearn/tree/tests
copying sklearn/tree/tests/__init__.py -> build/lib.linux-armv7l-2.7/sklearn/tree/tests
copying sklearn/tree/tests/test_export.py -> build/lib.linux-armv7l-2.7/sklearn/tree/tests
copying sklearn/tree/tests/test_tree.py -> build/lib.linux-armv7l-2.7/sklearn/tree/tests
creating build/lib.linux-armv7l-2.7/sklearn/svm
copying sklearn/svm/__init__.py -> build/lib.linux-armv7l-2.7/sklearn/svm
copying sklearn/svm/base.py -> build/lib.linux-armv7l-2.7/sklearn/svm
copying sklearn/svm/bounds.py -> build/lib.linux-armv7l-2.7/sklearn/svm
copying sklearn/svm/classes.py -> build/lib.linux-armv7l-2.7/sklearn/svm
copying sklearn/svm/setup.py -> build/lib.linux-armv7l-2.7/sklearn/svm
creating build/lib.linux-armv7l-2.7/sklearn/svm/tests
copying sklearn/svm/tests/__init__.py -> build/lib.linux-armv7l-2.7/sklearn/svm/tests
copying sklearn/svm/tests/test_bounds.py -> build/lib.linux-armv7l-2.7/sklearn/svm/tests
copying sklearn/svm/tests/test_sparse.py -> build/lib.linux-armv7l-2.7/sklearn/svm/tests
copying sklearn/svm/tests/test_svm.py -> build/lib.linux-armv7l-2.7/sklearn/svm/tests
creating build/lib.linux-armv7l-2.7/sklearn/linear_model
copying sklearn/linear_model/__init__.py -> build/lib.linux-armv7l-2.7/sklearn/linear_model
copying sklearn/linear_model/base.py -> build/lib.linux-armv7l-2.7/sklearn/linear_model
copying sklearn/linear_model/bayes.py -> build/lib.linux-armv7l-2.7/sklearn/linear_model
copying sklearn/linear_model/coordinate_descent.py -> build/lib.linux-armv7l-2.7/sklearn/linear_model
copying sklearn/linear_model/huber.py -> build/lib.linux-armv7l-2.7/sklearn/linear_model
copying sklearn/linear_model/least_angle.py -> build/lib.linux-armv7l-2.7/sklearn/linear_model
copying sklearn/linear_model/logistic.py -> build/lib.linux-armv7l-2.7/sklearn/linear_model
copying sklearn/linear_model/omp.py -> build/lib.linux-armv7l-2.7/sklearn/linear_model
copying sklearn/linear_model/passive_aggressive.py -> build/lib.linux-armv7l-2.7/sklearn/linear_model
copying sklearn/linear_model/perceptron.py -> build/lib.linux-armv7l-2.7/sklearn/linear_model
copying sklearn/linear_model/randomized_l1.py -> build/lib.linux-armv7l-2.7/sklearn/linear_model
copying sklearn/linear_model/ransac.py -> build/lib.linux-armv7l-2.7/sklearn/linear_model
copying sklearn/linear_model/ridge.py -> build/lib.linux-armv7l-2.7/sklearn/linear_model
copying sklearn/linear_model/sag.py -> build/lib.linux-armv7l-2.7/sklearn/linear_model
copying sklearn/linear_model/setup.py -> build/lib.linux-armv7l-2.7/sklearn/linear_model
copying sklearn/linear_model/stochastic_gradient.py -> build/lib.linux-armv7l-2.7/sklearn/linear_model
copying sklearn/linear_model/theil_sen.py -> build/lib.linux-armv7l-2.7/sklearn/linear_model
creating build/lib.linux-armv7l-2.7/sklearn/linear_model/tests
copying sklearn/linear_model/tests/__init__.py -> build/lib.linux-armv7l-2.7/sklearn/linear_model/tests
copying sklearn/linear_model/tests/test_base.py -> build/lib.linux-armv7l-2.7/sklearn/linear_model/tests
copying sklearn/linear_model/tests/test_bayes.py -> build/lib.linux-armv7l-2.7/sklearn/linear_model/tests
copying sklearn/linear_model/tests/test_coordinate_descent.py -> build/lib.linux-armv7l-2.7/sklearn/linear_model/tests
copying sklearn/linear_model/tests/test_huber.py -> build/lib.linux-armv7l-2.7/sklearn/linear_model/tests
copying sklearn/linear_model/tests/test_least_angle.py -> build/lib.linux-armv7l-2.7/sklearn/linear_model/tests
copying sklearn/linear_model/tests/test_logistic.py -> build/lib.linux-armv7l-2.7/sklearn/linear_model/tests
copying sklearn/linear_model/tests/test_omp.py -> build/lib.linux-armv7l-2.7/sklearn/linear_model/tests
copying sklearn/linear_model/tests/test_passive_aggressive.py -> build/lib.linux-armv7l-2.7/sklearn/linear_model/tests
copying sklearn/linear_model/tests/test_perceptron.py -> build/lib.linux-armv7l-2.7/sklearn/linear_model/tests
copying sklearn/linear_model/tests/test_randomized_l1.py -> build/lib.linux-armv7l-2.7/sklearn/linear_model/tests
copying sklearn/linear_model/tests/test_ransac.py -> build/lib.linux-armv7l-2.7/sklearn/linear_model/tests
copying sklearn/linear_model/tests/test_ridge.py -> build/lib.linux-armv7l-2.7/sklearn/linear_model/tests
copying sklearn/linear_model/tests/test_sag.py -> build/lib.linux-armv7l-2.7/sklearn/linear_model/tests
copying sklearn/linear_model/tests/test_sgd.py -> build/lib.linux-armv7l-2.7/sklearn/linear_model/tests
copying sklearn/linear_model/tests/test_sparse_coordinate_descent.py -> build/lib.linux-armv7l-2.7/sklearn/linear_model/tests
copying sklearn/linear_model/tests/test_theil_sen.py -> build/lib.linux-armv7l-2.7/sklearn/linear_model/tests
creating build/lib.linux-armv7l-2.7/sklearn/utils
copying sklearn/utils/__init__.py -> build/lib.linux-armv7l-2.7/sklearn/utils
copying sklearn/utils/_scipy_sparse_lsqr_backport.py -> build/lib.linux-armv7l-2.7/sklearn/utils
copying sklearn/utils/arpack.py -> build/lib.linux-armv7l-2.7/sklearn/utils
copying sklearn/utils/bench.py -> build/lib.linux-armv7l-2.7/sklearn/utils
copying sklearn/utils/class_weight.py -> build/lib.linux-armv7l-2.7/sklearn/utils
copying sklearn/utils/deprecation.py -> build/lib.linux-armv7l-2.7/sklearn/utils
copying sklearn/utils/estimator_checks.py -> build/lib.linux-armv7l-2.7/sklearn/utils
copying sklearn/utils/extmath.py -> build/lib.linux-armv7l-2.7/sklearn/utils
copying sklearn/utils/fixes.py -> build/lib.linux-armv7l-2.7/sklearn/utils
copying sklearn/utils/graph.py -> build/lib.linux-armv7l-2.7/sklearn/utils
copying sklearn/utils/linear_assignment_.py -> build/lib.linux-armv7l-2.7/sklearn/utils
copying sklearn/utils/metaestimators.py -> build/lib.linux-armv7l-2.7/sklearn/utils
copying sklearn/utils/mocking.py -> build/lib.linux-armv7l-2.7/sklearn/utils
copying sklearn/utils/multiclass.py -> build/lib.linux-armv7l-2.7/sklearn/utils
copying sklearn/utils/optimize.py -> build/lib.linux-armv7l-2.7/sklearn/utils
copying sklearn/utils/random.py -> build/lib.linux-armv7l-2.7/sklearn/utils
copying sklearn/utils/setup.py -> build/lib.linux-armv7l-2.7/sklearn/utils
copying sklearn/utils/sparsefuncs.py -> build/lib.linux-armv7l-2.7/sklearn/utils
copying sklearn/utils/stats.py -> build/lib.linux-armv7l-2.7/sklearn/utils
copying sklearn/utils/testing.py -> build/lib.linux-armv7l-2.7/sklearn/utils
copying sklearn/utils/validation.py -> build/lib.linux-armv7l-2.7/sklearn/utils
creating build/lib.linux-armv7l-2.7/sklearn/utils/sparsetools
copying sklearn/utils/sparsetools/__init__.py -> build/lib.linux-armv7l-2.7/sklearn/utils/sparsetools
copying sklearn/utils/sparsetools/setup.py -> build/lib.linux-armv7l-2.7/sklearn/utils/sparsetools
creating build/lib.linux-armv7l-2.7/sklearn/utils/sparsetools/tests
copying sklearn/utils/sparsetools/tests/__init__.py -> build/lib.linux-armv7l-2.7/sklearn/utils/sparsetools/tests
creating build/lib.linux-armv7l-2.7/sklearn/utils/tests
copying sklearn/utils/tests/__init__.py -> build/lib.linux-armv7l-2.7/sklearn/utils/tests
copying sklearn/utils/tests/test_bench.py -> build/lib.linux-armv7l-2.7/sklearn/utils/tests
copying sklearn/utils/tests/test_class_weight.py -> build/lib.linux-armv7l-2.7/sklearn/utils/tests
copying sklearn/utils/tests/test_deprecation.py -> build/lib.linux-armv7l-2.7/sklearn/utils/tests
copying sklearn/utils/tests/test_estimator_checks.py -> build/lib.linux-armv7l-2.7/sklearn/utils/tests
copying sklearn/utils/tests/test_extmath.py -> build/lib.linux-armv7l-2.7/sklearn/utils/tests
copying sklearn/utils/tests/test_fast_dict.py -> build/lib.linux-armv7l-2.7/sklearn/utils/tests
copying sklearn/utils/tests/test_fixes.py -> build/lib.linux-armv7l-2.7/sklearn/utils/tests
copying sklearn/utils/tests/test_graph.py -> build/lib.linux-armv7l-2.7/sklearn/utils/tests
copying sklearn/utils/tests/test_linear_assignment.py -> build/lib.linux-armv7l-2.7/sklearn/utils/tests
copying sklearn/utils/tests/test_metaestimators.py -> build/lib.linux-armv7l-2.7/sklearn/utils/tests
copying sklearn/utils/tests/test_multiclass.py -> build/lib.linux-armv7l-2.7/sklearn/utils/tests
copying sklearn/utils/tests/test_murmurhash.py -> build/lib.linux-armv7l-2.7/sklearn/utils/tests
copying sklearn/utils/tests/test_optimize.py -> build/lib.linux-armv7l-2.7/sklearn/utils/tests
copying sklearn/utils/tests/test_random.py -> build/lib.linux-armv7l-2.7/sklearn/utils/tests
copying sklearn/utils/tests/test_seq_dataset.py -> build/lib.linux-armv7l-2.7/sklearn/utils/tests
copying sklearn/utils/tests/test_shortest_path.py -> build/lib.linux-armv7l-2.7/sklearn/utils/tests
copying sklearn/utils/tests/test_sparsefuncs.py -> build/lib.linux-armv7l-2.7/sklearn/utils/tests
copying sklearn/utils/tests/test_stats.py -> build/lib.linux-armv7l-2.7/sklearn/utils/tests
copying sklearn/utils/tests/test_testing.py -> build/lib.linux-armv7l-2.7/sklearn/utils/tests
copying sklearn/utils/tests/test_utils.py -> build/lib.linux-armv7l-2.7/sklearn/utils/tests
copying sklearn/utils/tests/test_validation.py -> build/lib.linux-armv7l-2.7/sklearn/utils/tests
creating build/lib.linux-armv7l-2.7/sklearn/tests
copying sklearn/tests/__init__.py -> build/lib.linux-armv7l-2.7/sklearn/tests
copying sklearn/tests/test_base.py -> build/lib.linux-armv7l-2.7/sklearn/tests
copying sklearn/tests/test_calibration.py -> build/lib.linux-armv7l-2.7/sklearn/tests
copying sklearn/tests/test_check_build.py -> build/lib.linux-armv7l-2.7/sklearn/tests
copying sklearn/tests/test_common.py -> build/lib.linux-armv7l-2.7/sklearn/tests
copying sklearn/tests/test_config.py -> build/lib.linux-armv7l-2.7/sklearn/tests
copying sklearn/tests/test_cross_validation.py -> build/lib.linux-armv7l-2.7/sklearn/tests
copying sklearn/tests/test_discriminant_analysis.py -> build/lib.linux-armv7l-2.7/sklearn/tests
copying sklearn/tests/test_docstring_parameters.py -> build/lib.linux-armv7l-2.7/sklearn/tests
copying sklearn/tests/test_dummy.py -> build/lib.linux-armv7l-2.7/sklearn/tests
copying sklearn/tests/test_grid_search.py -> build/lib.linux-armv7l-2.7/sklearn/tests
copying sklearn/tests/test_init.py -> build/lib.linux-armv7l-2.7/sklearn/tests
copying sklearn/tests/test_isotonic.py -> build/lib.linux-armv7l-2.7/sklearn/tests
copying sklearn/tests/test_kernel_approximation.py -> build/lib.linux-armv7l-2.7/sklearn/tests
copying sklearn/tests/test_kernel_ridge.py -> build/lib.linux-armv7l-2.7/sklearn/tests
copying sklearn/tests/test_learning_curve.py -> build/lib.linux-armv7l-2.7/sklearn/tests
copying sklearn/tests/test_metaestimators.py -> build/lib.linux-armv7l-2.7/sklearn/tests
copying sklearn/tests/test_multiclass.py -> build/lib.linux-armv7l-2.7/sklearn/tests
copying sklearn/tests/test_multioutput.py -> build/lib.linux-armv7l-2.7/sklearn/tests
copying sklearn/tests/test_naive_bayes.py -> build/lib.linux-armv7l-2.7/sklearn/tests
copying sklearn/tests/test_pipeline.py -> build/lib.linux-armv7l-2.7/sklearn/tests
copying sklearn/tests/test_random_projection.py -> build/lib.linux-armv7l-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-armv7l-2.7
creating build/temp.linux-armv7l-2.7/sklearn
creating build/temp.linux-armv7l-2.7/sklearn/svm
creating build/temp.linux-armv7l-2.7/sklearn/svm/src
creating build/temp.linux-armv7l-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-armv7l-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-armv7l-2.7/sklearn/src
creating build/temp.linux-armv7l-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_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_saxpy.c
arm-linux-gnueabihf-gcc: sklearn/src/cblas/ATL_srefnrm2.c
arm-linux-gnueabihf-gcc: sklearn/src/cblas/cblas_dscal.c
arm-linux-gnueabihf-gcc: sklearn/src/cblas/ATL_drefrot.c
arm-linux-gnueabihf-gcc: sklearn/src/cblas/ATL_drefgemvN.c
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_sscal.c
arm-linux-gnueabihf-gcc: sklearn/src/cblas/ATL_srefrotg.c
arm-linux-gnueabihf-gcc: sklearn/src/cblas/ATL_dsrefdot.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/cblas_dnrm2.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/ATL_srefcopy.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_drefgemvT.c
arm-linux-gnueabihf-gcc: sklearn/src/cblas/cblas_daxpy.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_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_drefgemv.c
arm-linux-gnueabihf-gcc: sklearn/src/cblas/ATL_srefrot.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/cblas_errprn.c
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/ATL_drefrotg.c
arm-linux-gnueabihf-gcc: sklearn/src/cblas/ATL_drefasum.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_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_drefger.c
arm-linux-gnueabihf-gcc: sklearn/src/cblas/cblas_ddot.c
arm-linux-gnueabihf-gcc: sklearn/src/cblas/ATL_srefgemvN.c
arm-linux-gnueabihf-gcc: sklearn/src/cblas/ATL_srefger.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_srefasum.c
arm-linux-gnueabihf-gcc: sklearn/src/cblas/ATL_drefcopy.c
arm-linux-gnueabihf-gcc: sklearn/src/cblas/cblas_sdot.c
arm-linux-gnueabihf-gcc: sklearn/src/cblas/ATL_srefgemv.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-ar: adding 40 object files to build/temp.linux-armv7l-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-armv7l-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-LSpDd8/python2.7-2.7.14=. -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-armv7l-2.7/sklearn/__check_build/_check_build.o -Lbuild/temp.linux-armv7l-2.7 -o build/lib.linux-armv7l-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-armv7l-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:1809:0,
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:524:
/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-LSpDd8/python2.7-2.7.14=. -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-armv7l-2.7/sklearn/cluster/_dbscan_inner.o -Lbuild/temp.linux-armv7l-2.7 -o build/lib.linux-armv7l-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:1809:0,
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:522:
/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:529:
/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:529:
/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-LSpDd8/python2.7-2.7.14=. -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-armv7l-2.7/sklearn/cluster/_hierarchical.o -Lbuild/temp.linux-armv7l-2.7 -lm -o build/lib.linux-armv7l-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:1809:0,
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:507:
/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-LSpDd8/python2.7-2.7.14=. -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-armv7l-2.7/sklearn/cluster/_k_means_elkan.o -Lbuild/temp.linux-armv7l-2.7 -lm -o build/lib.linux-armv7l-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:1809:0,
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:511:
/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:3858:15: 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:4606:15: 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:6155:15: 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:6960:15: 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-LSpDd8/python2.7-2.7.14=. -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-armv7l-2.7/sklearn/cluster/_k_means.o -Lbuild/temp.linux-armv7l-2.7 -lcblas -lm -o build/lib.linux-armv7l-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-armv7l-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:1809:0,
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:505:
/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/python2.7/Python.h:78:0,
from sklearn/datasets/_svmlight_format.c:23:
sklearn/datasets/_svmlight_format.c: In function 'newarrayobject':
/usr/include/python2.7/pymem.h:97:30: warning: '*' in boolean context, suggest '&&' instead [-Wint-in-bool-context]
( (type *) PyMem_MALLOC((n) * sizeof(type)) ) )
^
/usr/include/python2.7/pymem.h:75:15: note: in definition of macro 'PyMem_MALLOC'
: malloc((n) ? (n) : 1))
^
sklearn/datasets/_svmlight_format.c:1425:28: note: in expansion of macro 'PyMem_NEW'
op->data.ob_item = PyMem_NEW(char, nbytes);
^~~~~~~~~
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-LSpDd8/python2.7-2.7.14=. -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-armv7l-2.7/sklearn/datasets/_svmlight_format.o -Lbuild/temp.linux-armv7l-2.7 -o build/lib.linux-armv7l-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-armv7l-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:1809:0,
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:508:
/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-LSpDd8/python2.7-2.7.14=. -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-armv7l-2.7/sklearn/decomposition/_online_lda.o -Lbuild/temp.linux-armv7l-2.7 -lm -o build/lib.linux-armv7l-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-LSpDd8/python2.7-2.7.14=. -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-armv7l-2.7/sklearn/decomposition/cdnmf_fast.o -Lbuild/temp.linux-armv7l-2.7 -lm -o build/lib.linux-armv7l-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-armv7l-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:1809:0,
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:504:
/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-LSpDd8/python2.7-2.7.14=. -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-armv7l-2.7/sklearn/ensemble/_gradient_boosting.o -Lbuild/temp.linux-armv7l-2.7 -o build/lib.linux-armv7l-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-armv7l-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:1809:0,
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:508:
/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/python2.7/Python.h:78:0,
from sklearn/feature_extraction/_hashing.c:26:
sklearn/feature_extraction/_hashing.c: In function 'newarrayobject':
/usr/include/python2.7/pymem.h:97:30: warning: '*' in boolean context, suggest '&&' instead [-Wint-in-bool-context]
( (type *) PyMem_MALLOC((n) * sizeof(type)) ) )
^
/usr/include/python2.7/pymem.h:75:15: note: in definition of macro 'PyMem_MALLOC'
: malloc((n) ? (n) : 1))
^
sklearn/feature_extraction/_hashing.c:1319:28: note: in expansion of macro 'PyMem_NEW'
op->data.ob_item = PyMem_NEW(char, nbytes);
^~~~~~~~~
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-LSpDd8/python2.7-2.7.14=. -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-armv7l-2.7/sklearn/feature_extraction/_hashing.o -Lbuild/temp.linux-armv7l-2.7 -lm -o build/lib.linux-armv7l-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-armv7l-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:1809:0,
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:512:
/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-LSpDd8/python2.7-2.7.14=. -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-armv7l-2.7/sklearn/manifold/_utils.o -Lbuild/temp.linux-armv7l-2.7 -lm -o build/lib.linux-armv7l-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:1809:0,
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:512:
/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:3230:9: warning: variable '__pyx_v_force' set but not used [-Wunused-but-set-variable]
float __pyx_v_force[3];
^~~~~~~~~~~~~
sklearn/manifold/_barnes_hut_tsne.c:3229:9: 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:4055:48: warning: format '%li' expects argument of type 'long int', but argument 2 has type 'Py_ssize_t {aka int}' [-Wformat=]
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-LSpDd8/python2.7-2.7.14=. -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-armv7l-2.7/sklearn/manifold/_barnes_hut_tsne.o -Lbuild/temp.linux-armv7l-2.7 -lcblas -o build/lib.linux-armv7l-2.7/sklearn/manifold/_barnes_hut_tsne.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
creating build/temp.linux-armv7l-2.7/sklearn/metrics
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:1809:0,
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:510:
/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-LSpDd8/python2.7-2.7.14=. -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-armv7l-2.7/sklearn/metrics/pairwise_fast.o -Lbuild/temp.linux-armv7l-2.7 -lcblas -lm -o build/lib.linux-armv7l-2.7/sklearn/metrics/pairwise_fast.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-armv7l-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:1809:0,
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:508:
/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-LSpDd8/python2.7-2.7.14=. -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-armv7l-2.7/sklearn/metrics/cluster/expected_mutual_info_fast.o -Lbuild/temp.linux-armv7l-2.7 -lm -o build/lib.linux-armv7l-2.7/sklearn/metrics/cluster/expected_mutual_info_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-armv7l-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:1809:0,
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:507:
/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-LSpDd8/python2.7-2.7.14=. -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-armv7l-2.7/sklearn/neighbors/ball_tree.o -Lbuild/temp.linux-armv7l-2.7 -lm -o build/lib.linux-armv7l-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:1809:0,
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:507:
/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:22180:49: 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-LSpDd8/python2.7-2.7.14=. -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-armv7l-2.7/sklearn/neighbors/kd_tree.o -Lbuild/temp.linux-armv7l-2.7 -lm -o build/lib.linux-armv7l-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:1809:0,
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:508:
/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:6879:85: 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 == -1.0)) __PYX_ERR(1, 464, __pyx_L1_error)
^
sklearn/neighbors/dist_metrics.c:6684:54: 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:7694:84: 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 == -1.0)) __PYX_ERR(1, 553, __pyx_L1_error)
^
sklearn/neighbors/dist_metrics.c:7615:54: 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:8400:85: 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 == -1.0)) __PYX_ERR(1, 612, __pyx_L1_error)
^
sklearn/neighbors/dist_metrics.c:8215:54: 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:9266:86: 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 == -1.0)) __PYX_ERR(1, 685, __pyx_L1_error)
^
sklearn/neighbors/dist_metrics.c:9026:54: 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-LSpDd8/python2.7-2.7.14=. -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-armv7l-2.7/sklearn/neighbors/dist_metrics.o -Lbuild/temp.linux-armv7l-2.7 -lm -o build/lib.linux-armv7l-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:1809:0,
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:507:
/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-LSpDd8/python2.7-2.7.14=. -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-armv7l-2.7/sklearn/neighbors/typedefs.o -Lbuild/temp.linux-armv7l-2.7 -lm -o build/lib.linux-armv7l-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:1809:0,
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:507:
/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:2722:1: warning: function declaration isn't a prototype [-Wstrict-prototypes]
static PyObject *__pyx_pf_7sklearn_9neighbors_9quad_tree_9_QuadTree_16test_summarize(); /* proto */
^~~~~~
sklearn/neighbors/quad_tree.c: In function '__pyx_f_7sklearn_9neighbors_9quad_tree_9_QuadTree_insert_point':
sklearn/neighbors/quad_tree.c:3603:57: 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=]
printf(((char const *)"[QuadTree] Inserting depth %li\n"), __pyx_v_cell->depth);
~~^ ~~~~~~~~~~~~~~~~~~~
%i
sklearn/neighbors/quad_tree.c:3716:58: 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=]
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:3716:70: 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=]
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:3812:58: 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=]
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:4391:56: 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=]
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:4391:73: 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=]
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:4878:81: 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=]
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:4878:114: 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=]
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:4906:77: 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=]
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:4906:103: 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=]
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:6125:68: 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=]
printf(((char const *)"[QuadTree] Found point in cell: %li\n"), __pyx_v_cell->cell_id);
~~^ ~~~~~~~~~~~~~~~~~~~~~
%i
sklearn/neighbors/quad_tree.c:6244:61: 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=]
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:7009:36: 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:7009:36: note: expected 'PyTypeObject * {aka struct _typeobject *}' but argument is of type 'PyObject * {aka struct _object *}'
sklearn/neighbors/quad_tree.c: At top level:
sklearn/neighbors/quad_tree.c:7434:18: warning: function declaration isn't a prototype [-Wstrict-prototypes]
static PyObject *__pyx_pf_7sklearn_9neighbors_9quad_tree_9_QuadTree_16test_summarize() {
^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
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-LSpDd8/python2.7-2.7.14=. -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-armv7l-2.7/sklearn/neighbors/quad_tree.o -Lbuild/temp.linux-armv7l-2.7 -lm -o build/lib.linux-armv7l-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-armv7l-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:1809:0,
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:510:
/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:14839:36: 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:14839:36: 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-LSpDd8/python2.7-2.7.14=. -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-armv7l-2.7/sklearn/tree/_tree.o -Lbuild/temp.linux-armv7l-2.7 -lm -o build/lib.linux-armv7l-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:1809:0,
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:510:
/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-LSpDd8/python2.7-2.7.14=. -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-armv7l-2.7/sklearn/tree/_splitter.o -Lbuild/temp.linux-armv7l-2.7 -lm -o build/lib.linux-armv7l-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:1809:0,
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:510:
/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-LSpDd8/python2.7-2.7.14=. -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-armv7l-2.7/sklearn/tree/_criterion.o -Lbuild/temp.linux-armv7l-2.7 -lm -o build/lib.linux-armv7l-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:1809:0,
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:510:
/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:9131:4: warning: '__pyx_v_original_median' may be used uninitialized in this function [-Wmaybe-uninitialized]
((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:9243:4: warning: '__pyx_v_original_median' may be used uninitialized in this function [-Wmaybe-uninitialized]
((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:8775:4: warning: '__pyx_v_original_median' may be used uninitialized in this function [-Wmaybe-uninitialized]
((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-LSpDd8/python2.7-2.7.14=. -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-armv7l-2.7/sklearn/tree/_utils.o -Lbuild/temp.linux-armv7l-2.7 -lm -o build/lib.linux-armv7l-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:1809:0,
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:512:
/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-LSpDd8/python2.7-2.7.14=. -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-armv7l-2.7/sklearn/svm/libsvm.o -Lbuild/temp.linux-armv7l-2.7 -llibsvm-skl -o build/lib.linux-armv7l-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:1809:0,
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:516:
/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:519:0:
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-armv7l-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-LSpDd8/python2.7-2.7.14=. -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-armv7l-2.7/sklearn/svm/liblinear.o build/temp.linux-armv7l-2.7/sklearn/svm/src/liblinear/linear.o build/temp.linux-armv7l-2.7/sklearn/svm/src/liblinear/tron.o -Lbuild/temp.linux-armv7l-2.7 -lcblas -lm -o build/lib.linux-armv7l-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:1809:0,
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:510:
/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-LSpDd8/python2.7-2.7.14=. -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-armv7l-2.7/sklearn/svm/libsvm_sparse.o -Lbuild/temp.linux-armv7l-2.7 -llibsvm-skl -o build/lib.linux-armv7l-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:1809:0,
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:507:
/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-LSpDd8/python2.7-2.7.14=. -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-armv7l-2.7/sklearn/_isotonic.o -Lbuild/temp.linux-armv7l-2.7 -lm -o build/lib.linux-armv7l-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-armv7l-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:1809:0,
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:511:
/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:4983:15: warning: assignment from incompatible pointer type [-Wincompatible-pointer-types]
__pyx_v_dot = cblas_sdot;
^
sklearn/linear_model/cd_fast.c:4992:16: warning: assignment from incompatible pointer type [-Wincompatible-pointer-types]
__pyx_v_axpy = cblas_saxpy;
^
sklearn/linear_model/cd_fast.c:5001:16: 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:6429:15: warning: assignment from incompatible pointer type [-Wincompatible-pointer-types]
__pyx_v_dot = cblas_ddot;
^
sklearn/linear_model/cd_fast.c:6438:16: warning: assignment from incompatible pointer type [-Wincompatible-pointer-types]
__pyx_v_axpy = cblas_daxpy;
^
sklearn/linear_model/cd_fast.c:6447:16: 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:8746:15: warning: assignment from incompatible pointer type [-Wincompatible-pointer-types]
__pyx_v_dot = cblas_sdot;
^
sklearn/linear_model/cd_fast.c:8755:16: 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:10725:15: warning: assignment from incompatible pointer type [-Wincompatible-pointer-types]
__pyx_v_dot = cblas_ddot;
^
sklearn/linear_model/cd_fast.c:10734:16: 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:13285:15: warning: assignment from incompatible pointer type [-Wincompatible-pointer-types]
__pyx_v_dot = cblas_sdot;
^
sklearn/linear_model/cd_fast.c:13294:16: warning: assignment from incompatible pointer type [-Wincompatible-pointer-types]
__pyx_v_axpy = cblas_saxpy;
^
sklearn/linear_model/cd_fast.c:13303:16: 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:14813:15: warning: assignment from incompatible pointer type [-Wincompatible-pointer-types]
__pyx_v_dot = cblas_ddot;
^
sklearn/linear_model/cd_fast.c:14822:16: warning: assignment from incompatible pointer type [-Wincompatible-pointer-types]
__pyx_v_axpy = cblas_daxpy;
^
sklearn/linear_model/cd_fast.c:14831:16: 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:17042:15: warning: assignment from incompatible pointer type [-Wincompatible-pointer-types]
__pyx_v_dot = cblas_sdot;
^
sklearn/linear_model/cd_fast.c:17051:16: warning: assignment from incompatible pointer type [-Wincompatible-pointer-types]
__pyx_v_nrm2 = cblas_snrm2;
^
sklearn/linear_model/cd_fast.c:17060:16: warning: assignment from incompatible pointer type [-Wincompatible-pointer-types]
__pyx_v_asum = cblas_sasum;
^
sklearn/linear_model/cd_fast.c:17069:16: warning: assignment from incompatible pointer type [-Wincompatible-pointer-types]
__pyx_v_copy = cblas_scopy;
^
sklearn/linear_model/cd_fast.c:17087:15: warning: assignment from incompatible pointer type [-Wincompatible-pointer-types]
__pyx_v_ger = cblas_sger;
^
sklearn/linear_model/cd_fast.c:17096:16: 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:18769:15: warning: assignment from incompatible pointer type [-Wincompatible-pointer-types]
__pyx_v_dot = cblas_ddot;
^
sklearn/linear_model/cd_fast.c:18778:16: warning: assignment from incompatible pointer type [-Wincompatible-pointer-types]
__pyx_v_nrm2 = cblas_dnrm2;
^
sklearn/linear_model/cd_fast.c:18787:16: warning: assignment from incompatible pointer type [-Wincompatible-pointer-types]
__pyx_v_asum = cblas_dasum;
^
sklearn/linear_model/cd_fast.c:18796:16: warning: assignment from incompatible pointer type [-Wincompatible-pointer-types]
__pyx_v_copy = cblas_dcopy;
^
sklearn/linear_model/cd_fast.c:18814:15: warning: assignment from incompatible pointer type [-Wincompatible-pointer-types]
__pyx_v_ger = cblas_dger;
^
sklearn/linear_model/cd_fast.c:18823:16: 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-LSpDd8/python2.7-2.7.14=. -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-armv7l-2.7/sklearn/linear_model/cd_fast.o -Lbuild/temp.linux-armv7l-2.7 -lcblas -lm -o build/lib.linux-armv7l-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:1809:0,
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:513:
/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-LSpDd8/python2.7-2.7.14=. -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-armv7l-2.7/sklearn/linear_model/sgd_fast.o -Lbuild/temp.linux-armv7l-2.7 -lcblas -lm -o build/lib.linux-armv7l-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:1809:0,
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:506:
/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-LSpDd8/python2.7-2.7.14=. -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-armv7l-2.7/sklearn/linear_model/sag_fast.o -Lbuild/temp.linux-armv7l-2.7 -o build/lib.linux-armv7l-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-armv7l-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:1809:0,
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:502:
/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-LSpDd8/python2.7-2.7.14=. -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-armv7l-2.7/sklearn/utils/sparsefuncs_fast.o -Lbuild/temp.linux-armv7l-2.7 -lm -o build/lib.linux-armv7l-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:1809:0,
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:511:
/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-LSpDd8/python2.7-2.7.14=. -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-armv7l-2.7/sklearn/utils/arrayfuncs.o -Lbuild/temp.linux-armv7l-2.7 -lcblas -lm -o build/lib.linux-armv7l-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:1809:0,
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:505:
/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-armv7l-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-LSpDd8/python2.7-2.7.14=. -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-armv7l-2.7/sklearn/utils/murmurhash.o build/temp.linux-armv7l-2.7/sklearn/utils/src/MurmurHash3.o -Lbuild/temp.linux-armv7l-2.7 -o build/lib.linux-armv7l-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/src/gamma.c
arm-linux-gnueabihf-gcc: sklearn/utils/lgamma.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-LSpDd8/python2.7-2.7.14=. -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-armv7l-2.7/sklearn/utils/lgamma.o build/temp.linux-armv7l-2.7/sklearn/utils/src/gamma.o -Lbuild/temp.linux-armv7l-2.7 -lm -o build/lib.linux-armv7l-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:1809:0,
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:504:
/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-LSpDd8/python2.7-2.7.14=. -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-armv7l-2.7/sklearn/utils/graph_shortest_path.o -Lbuild/temp.linux-armv7l-2.7 -o build/lib.linux-armv7l-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:1809:0,
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:528:
/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:25115:47: warning: '__pyx_v_min_key' may be used uninitialized in this function [-Wmaybe-uninitialized]
return PyInt_FromLong((long) value);
^
sklearn/utils/fast_dict.cpp:4336:46: 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:524:
/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:524:
/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-LSpDd8/python2.7-2.7.14=. -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-armv7l-2.7/sklearn/utils/fast_dict.o -Lbuild/temp.linux-armv7l-2.7 -lm -o build/lib.linux-armv7l-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:1809:0,
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:504:
/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-LSpDd8/python2.7-2.7.14=. -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-armv7l-2.7/sklearn/utils/seq_dataset.o -Lbuild/temp.linux-armv7l-2.7 -o build/lib.linux-armv7l-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:1809:0,
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:510:
/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-LSpDd8/python2.7-2.7.14=. -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-armv7l-2.7/sklearn/utils/weight_vector.o -Lbuild/temp.linux-armv7l-2.7 -lcblas -lm -o build/lib.linux-armv7l-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:1809:0,
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:507:
/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-LSpDd8/python2.7-2.7.14=. -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-armv7l-2.7/sklearn/utils/_random.o -Lbuild/temp.linux-armv7l-2.7 -lm -o build/lib.linux-armv7l-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:1809:0,
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:508:
/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-LSpDd8/python2.7-2.7.14=. -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-armv7l-2.7/sklearn/utils/_logistic_sigmoid.o -Lbuild/temp.linux-armv7l-2.7 -lm -o build/lib.linux-armv7l-2.7/sklearn/utils/_logistic_sigmoid.so
dh_auto_test -a -O--buildsystem=python_distutils
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:
libraries mkl_rt not found in ['/usr/local/lib', '/usr/lib', '/usr/lib/arm-linux-gnueabihf']
NOT AVAILABLE
blis_info:
libraries blis not found in ['/usr/local/lib', '/usr/lib', '/usr/lib/arm-linux-gnueabihf']
NOT AVAILABLE
openblas_info:
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
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:
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
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:
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:572: 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:
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:572: 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:572: 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:72: 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'
Warning: Extension name 'sklearn.metrics/cluster.expected_mutual_info_fast' does not match fully qualified name 'sklearn.metrics.cluster.expected_mutual_info_fast' of 'sklearn/metrics/cluster/expected_mutual_info_fast.pyx'
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.pairwise_fast" sources
building extension "sklearn.metrics/cluster.expected_mutual_info_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
copying build/lib.linux-armv7l-2.7/sklearn/__init__.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn
copying build/lib.linux-armv7l-2.7/sklearn/base.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn
copying build/lib.linux-armv7l-2.7/sklearn/calibration.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn
copying build/lib.linux-armv7l-2.7/sklearn/cross_validation.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn
copying build/lib.linux-armv7l-2.7/sklearn/discriminant_analysis.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn
copying build/lib.linux-armv7l-2.7/sklearn/dummy.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn
copying build/lib.linux-armv7l-2.7/sklearn/exceptions.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn
copying build/lib.linux-armv7l-2.7/sklearn/grid_search.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn
copying build/lib.linux-armv7l-2.7/sklearn/isotonic.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn
copying build/lib.linux-armv7l-2.7/sklearn/kernel_approximation.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn
copying build/lib.linux-armv7l-2.7/sklearn/kernel_ridge.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn
copying build/lib.linux-armv7l-2.7/sklearn/learning_curve.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn
copying build/lib.linux-armv7l-2.7/sklearn/multiclass.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn
copying build/lib.linux-armv7l-2.7/sklearn/multioutput.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn
copying build/lib.linux-armv7l-2.7/sklearn/naive_bayes.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn
copying build/lib.linux-armv7l-2.7/sklearn/pipeline.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn
copying build/lib.linux-armv7l-2.7/sklearn/random_projection.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn
copying build/lib.linux-armv7l-2.7/sklearn/setup.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn
creating /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/__check_build
copying build/lib.linux-armv7l-2.7/sklearn/__check_build/__init__.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/__check_build
copying build/lib.linux-armv7l-2.7/sklearn/__check_build/setup.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/__check_build
copying build/lib.linux-armv7l-2.7/sklearn/__check_build/_check_build.so -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/__check_build
creating /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/_build_utils
copying build/lib.linux-armv7l-2.7/sklearn/_build_utils/__init__.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/_build_utils
creating /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/covariance
copying build/lib.linux-armv7l-2.7/sklearn/covariance/__init__.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/covariance
copying build/lib.linux-armv7l-2.7/sklearn/covariance/empirical_covariance_.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/covariance
copying build/lib.linux-armv7l-2.7/sklearn/covariance/graph_lasso_.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/covariance
copying build/lib.linux-armv7l-2.7/sklearn/covariance/outlier_detection.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/covariance
copying build/lib.linux-armv7l-2.7/sklearn/covariance/robust_covariance.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/covariance
copying build/lib.linux-armv7l-2.7/sklearn/covariance/shrunk_covariance_.py -> /<<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-armv7l-2.7/sklearn/covariance/tests/__init__.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/covariance/tests
copying build/lib.linux-armv7l-2.7/sklearn/covariance/tests/test_covariance.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/covariance/tests
copying build/lib.linux-armv7l-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-armv7l-2.7/sklearn/covariance/tests/test_robust_covariance.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/covariance/tests
creating /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cross_decomposition
copying build/lib.linux-armv7l-2.7/sklearn/cross_decomposition/__init__.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cross_decomposition
copying build/lib.linux-armv7l-2.7/sklearn/cross_decomposition/cca_.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cross_decomposition
copying build/lib.linux-armv7l-2.7/sklearn/cross_decomposition/pls_.py -> /<<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-armv7l-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-armv7l-2.7/sklearn/cross_decomposition/tests/test_pls.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cross_decomposition/tests
creating /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/feature_selection
copying build/lib.linux-armv7l-2.7/sklearn/feature_selection/__init__.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/feature_selection
copying build/lib.linux-armv7l-2.7/sklearn/feature_selection/base.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/feature_selection
copying build/lib.linux-armv7l-2.7/sklearn/feature_selection/from_model.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/feature_selection
copying build/lib.linux-armv7l-2.7/sklearn/feature_selection/mutual_info_.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/feature_selection
copying build/lib.linux-armv7l-2.7/sklearn/feature_selection/rfe.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/feature_selection
copying build/lib.linux-armv7l-2.7/sklearn/feature_selection/univariate_selection.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/feature_selection
copying build/lib.linux-armv7l-2.7/sklearn/feature_selection/variance_threshold.py -> /<<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-armv7l-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-armv7l-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-armv7l-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-armv7l-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-armv7l-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-armv7l-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-armv7l-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-armv7l-2.7/sklearn/feature_selection/tests/test_variance_threshold.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/feature_selection/tests
creating /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/gaussian_process
copying build/lib.linux-armv7l-2.7/sklearn/gaussian_process/__init__.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/gaussian_process
copying build/lib.linux-armv7l-2.7/sklearn/gaussian_process/correlation_models.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/gaussian_process
copying build/lib.linux-armv7l-2.7/sklearn/gaussian_process/gaussian_process.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/gaussian_process
copying build/lib.linux-armv7l-2.7/sklearn/gaussian_process/gpc.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/gaussian_process
copying build/lib.linux-armv7l-2.7/sklearn/gaussian_process/gpr.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/gaussian_process
copying build/lib.linux-armv7l-2.7/sklearn/gaussian_process/kernels.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/gaussian_process
copying build/lib.linux-armv7l-2.7/sklearn/gaussian_process/regression_models.py -> /<<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-armv7l-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-armv7l-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-armv7l-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-armv7l-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-armv7l-2.7/sklearn/gaussian_process/tests/test_kernels.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/gaussian_process/tests
creating /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/mixture
copying build/lib.linux-armv7l-2.7/sklearn/mixture/__init__.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/mixture
copying build/lib.linux-armv7l-2.7/sklearn/mixture/base.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/mixture
copying build/lib.linux-armv7l-2.7/sklearn/mixture/bayesian_mixture.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/mixture
copying build/lib.linux-armv7l-2.7/sklearn/mixture/dpgmm.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/mixture
copying build/lib.linux-armv7l-2.7/sklearn/mixture/gaussian_mixture.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/mixture
copying build/lib.linux-armv7l-2.7/sklearn/mixture/gmm.py -> /<<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-armv7l-2.7/sklearn/mixture/tests/__init__.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/mixture/tests
copying build/lib.linux-armv7l-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-armv7l-2.7/sklearn/mixture/tests/test_dpgmm.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/mixture/tests
copying build/lib.linux-armv7l-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-armv7l-2.7/sklearn/mixture/tests/test_gmm.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/mixture/tests
creating /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/model_selection
copying build/lib.linux-armv7l-2.7/sklearn/model_selection/__init__.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/model_selection
copying build/lib.linux-armv7l-2.7/sklearn/model_selection/_search.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/model_selection
copying build/lib.linux-armv7l-2.7/sklearn/model_selection/_split.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/model_selection
copying build/lib.linux-armv7l-2.7/sklearn/model_selection/_validation.py -> /<<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-armv7l-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-armv7l-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-armv7l-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-armv7l-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-armv7l-2.7/sklearn/model_selection/tests/test_search.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/model_selection/tests
creating /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/neural_network
copying build/lib.linux-armv7l-2.7/sklearn/neural_network/__init__.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/neural_network
copying build/lib.linux-armv7l-2.7/sklearn/neural_network/_base.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/neural_network
copying build/lib.linux-armv7l-2.7/sklearn/neural_network/_stochastic_optimizers.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/neural_network
copying build/lib.linux-armv7l-2.7/sklearn/neural_network/multilayer_perceptron.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/neural_network
copying build/lib.linux-armv7l-2.7/sklearn/neural_network/rbm.py -> /<<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-armv7l-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-armv7l-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-armv7l-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-armv7l-2.7/sklearn/neural_network/tests/test_stochastic_optimizers.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/neural_network/tests
creating /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/preprocessing
copying build/lib.linux-armv7l-2.7/sklearn/preprocessing/__init__.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/preprocessing
copying build/lib.linux-armv7l-2.7/sklearn/preprocessing/_function_transformer.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/preprocessing
copying build/lib.linux-armv7l-2.7/sklearn/preprocessing/data.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/preprocessing
copying build/lib.linux-armv7l-2.7/sklearn/preprocessing/imputation.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/preprocessing
copying build/lib.linux-armv7l-2.7/sklearn/preprocessing/label.py -> /<<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-armv7l-2.7/sklearn/preprocessing/tests/__init__.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/preprocessing/tests
copying build/lib.linux-armv7l-2.7/sklearn/preprocessing/tests/test_data.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/preprocessing/tests
copying build/lib.linux-armv7l-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-armv7l-2.7/sklearn/preprocessing/tests/test_imputation.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/preprocessing/tests
copying build/lib.linux-armv7l-2.7/sklearn/preprocessing/tests/test_label.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/preprocessing/tests
creating /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/semi_supervised
copying build/lib.linux-armv7l-2.7/sklearn/semi_supervised/__init__.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/semi_supervised
copying build/lib.linux-armv7l-2.7/sklearn/semi_supervised/label_propagation.py -> /<<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-armv7l-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-armv7l-2.7/sklearn/semi_supervised/tests/test_label_propagation.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/semi_supervised/tests
creating /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster
copying build/lib.linux-armv7l-2.7/sklearn/cluster/__init__.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster
copying build/lib.linux-armv7l-2.7/sklearn/cluster/_feature_agglomeration.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster
copying build/lib.linux-armv7l-2.7/sklearn/cluster/affinity_propagation_.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster
copying build/lib.linux-armv7l-2.7/sklearn/cluster/bicluster.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster
copying build/lib.linux-armv7l-2.7/sklearn/cluster/birch.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster
copying build/lib.linux-armv7l-2.7/sklearn/cluster/dbscan_.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster
copying build/lib.linux-armv7l-2.7/sklearn/cluster/hierarchical.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster
copying build/lib.linux-armv7l-2.7/sklearn/cluster/k_means_.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster
copying build/lib.linux-armv7l-2.7/sklearn/cluster/mean_shift_.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster
copying build/lib.linux-armv7l-2.7/sklearn/cluster/setup.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster
copying build/lib.linux-armv7l-2.7/sklearn/cluster/spectral.py -> /<<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-armv7l-2.7/sklearn/cluster/tests/__init__.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/tests
copying build/lib.linux-armv7l-2.7/sklearn/cluster/tests/common.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/tests
copying build/lib.linux-armv7l-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-armv7l-2.7/sklearn/cluster/tests/test_bicluster.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/tests
copying build/lib.linux-armv7l-2.7/sklearn/cluster/tests/test_birch.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/tests
copying build/lib.linux-armv7l-2.7/sklearn/cluster/tests/test_dbscan.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/tests
copying build/lib.linux-armv7l-2.7/sklearn/cluster/tests/test_hierarchical.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/tests
copying build/lib.linux-armv7l-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-armv7l-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-armv7l-2.7/sklearn/cluster/tests/test_spectral.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/tests
copying build/lib.linux-armv7l-2.7/sklearn/cluster/_dbscan_inner.so -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster
copying build/lib.linux-armv7l-2.7/sklearn/cluster/_hierarchical.so -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster
copying build/lib.linux-armv7l-2.7/sklearn/cluster/_k_means_elkan.so -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster
copying build/lib.linux-armv7l-2.7/sklearn/cluster/_k_means.so -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster
creating /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/datasets
copying build/lib.linux-armv7l-2.7/sklearn/datasets/__init__.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/datasets
copying build/lib.linux-armv7l-2.7/sklearn/datasets/base.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/datasets
copying build/lib.linux-armv7l-2.7/sklearn/datasets/california_housing.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/datasets
copying build/lib.linux-armv7l-2.7/sklearn/datasets/covtype.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/datasets
copying build/lib.linux-armv7l-2.7/sklearn/datasets/kddcup99.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/datasets
copying build/lib.linux-armv7l-2.7/sklearn/datasets/mlcomp.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/datasets
copying build/lib.linux-armv7l-2.7/sklearn/datasets/mldata.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/datasets
copying build/lib.linux-armv7l-2.7/sklearn/datasets/olivetti_faces.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/datasets
copying build/lib.linux-armv7l-2.7/sklearn/datasets/rcv1.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/datasets
copying build/lib.linux-armv7l-2.7/sklearn/datasets/samples_generator.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/datasets
copying build/lib.linux-armv7l-2.7/sklearn/datasets/setup.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/datasets
copying build/lib.linux-armv7l-2.7/sklearn/datasets/species_distributions.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/datasets
copying build/lib.linux-armv7l-2.7/sklearn/datasets/svmlight_format.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/datasets
copying build/lib.linux-armv7l-2.7/sklearn/datasets/twenty_newsgroups.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/datasets
copying build/lib.linux-armv7l-2.7/sklearn/datasets/lfw.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-armv7l-2.7/sklearn/datasets/tests/__init__.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/datasets/tests
copying build/lib.linux-armv7l-2.7/sklearn/datasets/tests/test_20news.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/datasets/tests
copying build/lib.linux-armv7l-2.7/sklearn/datasets/tests/test_base.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/datasets/tests
copying build/lib.linux-armv7l-2.7/sklearn/datasets/tests/test_covtype.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/datasets/tests
copying build/lib.linux-armv7l-2.7/sklearn/datasets/tests/test_kddcup99.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/datasets/tests
copying build/lib.linux-armv7l-2.7/sklearn/datasets/tests/test_lfw.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/datasets/tests
copying build/lib.linux-armv7l-2.7/sklearn/datasets/tests/test_mldata.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/datasets/tests
copying build/lib.linux-armv7l-2.7/sklearn/datasets/tests/test_rcv1.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/datasets/tests
copying build/lib.linux-armv7l-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-armv7l-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-armv7l-2.7/sklearn/datasets/_svmlight_format.so -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/datasets
creating /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/decomposition
copying build/lib.linux-armv7l-2.7/sklearn/decomposition/__init__.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/decomposition
copying build/lib.linux-armv7l-2.7/sklearn/decomposition/base.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/decomposition
copying build/lib.linux-armv7l-2.7/sklearn/decomposition/dict_learning.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/decomposition
copying build/lib.linux-armv7l-2.7/sklearn/decomposition/factor_analysis.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/decomposition
copying build/lib.linux-armv7l-2.7/sklearn/decomposition/fastica_.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/decomposition
copying build/lib.linux-armv7l-2.7/sklearn/decomposition/incremental_pca.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/decomposition
copying build/lib.linux-armv7l-2.7/sklearn/decomposition/kernel_pca.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/decomposition
copying build/lib.linux-armv7l-2.7/sklearn/decomposition/nmf.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/decomposition
copying build/lib.linux-armv7l-2.7/sklearn/decomposition/online_lda.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/decomposition
copying build/lib.linux-armv7l-2.7/sklearn/decomposition/pca.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/decomposition
copying build/lib.linux-armv7l-2.7/sklearn/decomposition/setup.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/decomposition
copying build/lib.linux-armv7l-2.7/sklearn/decomposition/sparse_pca.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/decomposition
copying build/lib.linux-armv7l-2.7/sklearn/decomposition/truncated_svd.py -> /<<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-armv7l-2.7/sklearn/decomposition/tests/__init__.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/decomposition/tests
copying build/lib.linux-armv7l-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-armv7l-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-armv7l-2.7/sklearn/decomposition/tests/test_fastica.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/decomposition/tests
copying build/lib.linux-armv7l-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-armv7l-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-armv7l-2.7/sklearn/decomposition/tests/test_nmf.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/decomposition/tests
copying build/lib.linux-armv7l-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-armv7l-2.7/sklearn/decomposition/tests/test_pca.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/decomposition/tests
copying build/lib.linux-armv7l-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-armv7l-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-armv7l-2.7/sklearn/decomposition/_online_lda.so -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/decomposition
copying build/lib.linux-armv7l-2.7/sklearn/decomposition/cdnmf_fast.so -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/decomposition
creating /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/ensemble
copying build/lib.linux-armv7l-2.7/sklearn/ensemble/__init__.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/ensemble
copying build/lib.linux-armv7l-2.7/sklearn/ensemble/bagging.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/ensemble
copying build/lib.linux-armv7l-2.7/sklearn/ensemble/base.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/ensemble
copying build/lib.linux-armv7l-2.7/sklearn/ensemble/forest.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/ensemble
copying build/lib.linux-armv7l-2.7/sklearn/ensemble/gradient_boosting.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/ensemble
copying build/lib.linux-armv7l-2.7/sklearn/ensemble/iforest.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/ensemble
copying build/lib.linux-armv7l-2.7/sklearn/ensemble/partial_dependence.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/ensemble
copying build/lib.linux-armv7l-2.7/sklearn/ensemble/setup.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/ensemble
copying build/lib.linux-armv7l-2.7/sklearn/ensemble/voting_classifier.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/ensemble
copying build/lib.linux-armv7l-2.7/sklearn/ensemble/weight_boosting.py -> /<<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-armv7l-2.7/sklearn/ensemble/tests/__init__.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/ensemble/tests
copying build/lib.linux-armv7l-2.7/sklearn/ensemble/tests/test_bagging.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/ensemble/tests
copying build/lib.linux-armv7l-2.7/sklearn/ensemble/tests/test_base.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/ensemble/tests
copying build/lib.linux-armv7l-2.7/sklearn/ensemble/tests/test_forest.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/ensemble/tests
copying build/lib.linux-armv7l-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-armv7l-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-armv7l-2.7/sklearn/ensemble/tests/test_iforest.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/ensemble/tests
copying build/lib.linux-armv7l-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-armv7l-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-armv7l-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-armv7l-2.7/sklearn/ensemble/_gradient_boosting.so -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/ensemble
creating /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/externals
copying build/lib.linux-armv7l-2.7/sklearn/externals/__init__.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/externals
copying build/lib.linux-armv7l-2.7/sklearn/externals/funcsigs.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/externals
copying build/lib.linux-armv7l-2.7/sklearn/externals/setup.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/externals
copying build/lib.linux-armv7l-2.7/sklearn/externals/six.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/externals
copying build/lib.linux-armv7l-2.7/sklearn/externals/test_externals_setup.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-armv7l-2.7/sklearn/externals/joblib/__init__.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/externals/joblib
creating /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/feature_extraction
copying build/lib.linux-armv7l-2.7/sklearn/feature_extraction/__init__.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/feature_extraction
copying build/lib.linux-armv7l-2.7/sklearn/feature_extraction/dict_vectorizer.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/feature_extraction
copying build/lib.linux-armv7l-2.7/sklearn/feature_extraction/hashing.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/feature_extraction
copying build/lib.linux-armv7l-2.7/sklearn/feature_extraction/image.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/feature_extraction
copying build/lib.linux-armv7l-2.7/sklearn/feature_extraction/setup.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/feature_extraction
copying build/lib.linux-armv7l-2.7/sklearn/feature_extraction/stop_words.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/feature_extraction
copying build/lib.linux-armv7l-2.7/sklearn/feature_extraction/text.py -> /<<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-armv7l-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-armv7l-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-armv7l-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-armv7l-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-armv7l-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-armv7l-2.7/sklearn/feature_extraction/_hashing.so -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/feature_extraction
creating /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/manifold
copying build/lib.linux-armv7l-2.7/sklearn/manifold/__init__.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/manifold
copying build/lib.linux-armv7l-2.7/sklearn/manifold/isomap.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/manifold
copying build/lib.linux-armv7l-2.7/sklearn/manifold/locally_linear.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/manifold
copying build/lib.linux-armv7l-2.7/sklearn/manifold/mds.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/manifold
copying build/lib.linux-armv7l-2.7/sklearn/manifold/setup.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/manifold
copying build/lib.linux-armv7l-2.7/sklearn/manifold/spectral_embedding_.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/manifold
copying build/lib.linux-armv7l-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/manifold/tests
copying build/lib.linux-armv7l-2.7/sklearn/manifold/tests/__init__.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/manifold/tests
copying build/lib.linux-armv7l-2.7/sklearn/manifold/tests/test_isomap.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/manifold/tests
copying build/lib.linux-armv7l-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-armv7l-2.7/sklearn/manifold/tests/test_mds.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/manifold/tests
copying build/lib.linux-armv7l-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-armv7l-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-armv7l-2.7/sklearn/manifold/_utils.so -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/manifold
copying build/lib.linux-armv7l-2.7/sklearn/manifold/_barnes_hut_tsne.so -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/manifold
creating /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/metrics
copying build/lib.linux-armv7l-2.7/sklearn/metrics/__init__.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/metrics
copying build/lib.linux-armv7l-2.7/sklearn/metrics/base.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/metrics
copying build/lib.linux-armv7l-2.7/sklearn/metrics/classification.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/metrics
copying build/lib.linux-armv7l-2.7/sklearn/metrics/ranking.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/metrics
copying build/lib.linux-armv7l-2.7/sklearn/metrics/regression.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/metrics
copying build/lib.linux-armv7l-2.7/sklearn/metrics/scorer.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/metrics
copying build/lib.linux-armv7l-2.7/sklearn/metrics/setup.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/metrics
copying build/lib.linux-armv7l-2.7/sklearn/metrics/pairwise.py -> /<<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-armv7l-2.7/sklearn/metrics/tests/__init__.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/metrics/tests
copying build/lib.linux-armv7l-2.7/sklearn/metrics/tests/test_classification.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/metrics/tests
copying build/lib.linux-armv7l-2.7/sklearn/metrics/tests/test_common.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/metrics/tests
copying build/lib.linux-armv7l-2.7/sklearn/metrics/tests/test_pairwise.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/metrics/tests
copying build/lib.linux-armv7l-2.7/sklearn/metrics/tests/test_regression.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/metrics/tests
copying build/lib.linux-armv7l-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-armv7l-2.7/sklearn/metrics/tests/test_ranking.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/metrics/tests
creating /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/metrics/cluster
copying build/lib.linux-armv7l-2.7/sklearn/metrics/cluster/__init__.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/metrics/cluster
copying build/lib.linux-armv7l-2.7/sklearn/metrics/cluster/bicluster.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/metrics/cluster
copying build/lib.linux-armv7l-2.7/sklearn/metrics/cluster/setup.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/metrics/cluster
copying build/lib.linux-armv7l-2.7/sklearn/metrics/cluster/supervised.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/metrics/cluster
copying build/lib.linux-armv7l-2.7/sklearn/metrics/cluster/unsupervised.py -> /<<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-armv7l-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-armv7l-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-armv7l-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-armv7l-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-armv7l-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-armv7l-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
copying build/lib.linux-armv7l-2.7/sklearn/neighbors/__init__.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/neighbors
copying build/lib.linux-armv7l-2.7/sklearn/neighbors/approximate.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/neighbors
copying build/lib.linux-armv7l-2.7/sklearn/neighbors/base.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/neighbors
copying build/lib.linux-armv7l-2.7/sklearn/neighbors/classification.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/neighbors
copying build/lib.linux-armv7l-2.7/sklearn/neighbors/graph.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/neighbors
copying build/lib.linux-armv7l-2.7/sklearn/neighbors/kde.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/neighbors
copying build/lib.linux-armv7l-2.7/sklearn/neighbors/lof.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/neighbors
copying build/lib.linux-armv7l-2.7/sklearn/neighbors/nearest_centroid.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/neighbors
copying build/lib.linux-armv7l-2.7/sklearn/neighbors/regression.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/neighbors
copying build/lib.linux-armv7l-2.7/sklearn/neighbors/setup.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/neighbors
copying build/lib.linux-armv7l-2.7/sklearn/neighbors/unsupervised.py -> /<<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-armv7l-2.7/sklearn/neighbors/tests/__init__.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/neighbors/tests
copying build/lib.linux-armv7l-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-armv7l-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-armv7l-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-armv7l-2.7/sklearn/neighbors/tests/test_kde.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/neighbors/tests
copying build/lib.linux-armv7l-2.7/sklearn/neighbors/tests/test_lof.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/neighbors/tests
copying build/lib.linux-armv7l-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-armv7l-2.7/sklearn/neighbors/tests/test_neighbors.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/neighbors/tests
copying build/lib.linux-armv7l-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-armv7l-2.7/sklearn/neighbors/tests/test_approximate.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/neighbors/tests
copying build/lib.linux-armv7l-2.7/sklearn/neighbors/ball_tree.so -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/neighbors
copying build/lib.linux-armv7l-2.7/sklearn/neighbors/kd_tree.so -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/neighbors
copying build/lib.linux-armv7l-2.7/sklearn/neighbors/dist_metrics.so -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/neighbors
copying build/lib.linux-armv7l-2.7/sklearn/neighbors/typedefs.so -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/neighbors
copying build/lib.linux-armv7l-2.7/sklearn/neighbors/quad_tree.so -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/neighbors
creating /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tree
copying build/lib.linux-armv7l-2.7/sklearn/tree/__init__.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tree
copying build/lib.linux-armv7l-2.7/sklearn/tree/export.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tree
copying build/lib.linux-armv7l-2.7/sklearn/tree/setup.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tree
copying build/lib.linux-armv7l-2.7/sklearn/tree/tree.py -> /<<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-armv7l-2.7/sklearn/tree/tests/__init__.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tree/tests
copying build/lib.linux-armv7l-2.7/sklearn/tree/tests/test_export.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tree/tests
copying build/lib.linux-armv7l-2.7/sklearn/tree/tests/test_tree.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tree/tests
copying build/lib.linux-armv7l-2.7/sklearn/tree/_tree.so -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tree
copying build/lib.linux-armv7l-2.7/sklearn/tree/_splitter.so -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tree
copying build/lib.linux-armv7l-2.7/sklearn/tree/_criterion.so -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tree
copying build/lib.linux-armv7l-2.7/sklearn/tree/_utils.so -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tree
creating /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/svm
copying build/lib.linux-armv7l-2.7/sklearn/svm/__init__.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/svm
copying build/lib.linux-armv7l-2.7/sklearn/svm/base.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/svm
copying build/lib.linux-armv7l-2.7/sklearn/svm/bounds.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/svm
copying build/lib.linux-armv7l-2.7/sklearn/svm/classes.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/svm
copying build/lib.linux-armv7l-2.7/sklearn/svm/setup.py -> /<<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-armv7l-2.7/sklearn/svm/tests/__init__.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/svm/tests
copying build/lib.linux-armv7l-2.7/sklearn/svm/tests/test_bounds.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/svm/tests
copying build/lib.linux-armv7l-2.7/sklearn/svm/tests/test_sparse.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/svm/tests
copying build/lib.linux-armv7l-2.7/sklearn/svm/tests/test_svm.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/svm/tests
copying build/lib.linux-armv7l-2.7/sklearn/svm/libsvm.so -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/svm
copying build/lib.linux-armv7l-2.7/sklearn/svm/liblinear.so -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/svm
copying build/lib.linux-armv7l-2.7/sklearn/svm/libsvm_sparse.so -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/svm
creating /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/linear_model
copying build/lib.linux-armv7l-2.7/sklearn/linear_model/__init__.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/linear_model
copying build/lib.linux-armv7l-2.7/sklearn/linear_model/base.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/linear_model
copying build/lib.linux-armv7l-2.7/sklearn/linear_model/bayes.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/linear_model
copying build/lib.linux-armv7l-2.7/sklearn/linear_model/coordinate_descent.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/linear_model
copying build/lib.linux-armv7l-2.7/sklearn/linear_model/huber.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/linear_model
copying build/lib.linux-armv7l-2.7/sklearn/linear_model/least_angle.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/linear_model
copying build/lib.linux-armv7l-2.7/sklearn/linear_model/logistic.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/linear_model
copying build/lib.linux-armv7l-2.7/sklearn/linear_model/omp.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/linear_model
copying build/lib.linux-armv7l-2.7/sklearn/linear_model/passive_aggressive.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/linear_model
copying build/lib.linux-armv7l-2.7/sklearn/linear_model/perceptron.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/linear_model
copying build/lib.linux-armv7l-2.7/sklearn/linear_model/randomized_l1.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/linear_model
copying build/lib.linux-armv7l-2.7/sklearn/linear_model/ransac.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/linear_model
copying build/lib.linux-armv7l-2.7/sklearn/linear_model/ridge.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/linear_model
copying build/lib.linux-armv7l-2.7/sklearn/linear_model/sag.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/linear_model
copying build/lib.linux-armv7l-2.7/sklearn/linear_model/setup.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/linear_model
copying build/lib.linux-armv7l-2.7/sklearn/linear_model/stochastic_gradient.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/linear_model
copying build/lib.linux-armv7l-2.7/sklearn/linear_model/theil_sen.py -> /<<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-armv7l-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-armv7l-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-armv7l-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-armv7l-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-armv7l-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-armv7l-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-armv7l-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-armv7l-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-armv7l-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-armv7l-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-armv7l-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-armv7l-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-armv7l-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-armv7l-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-armv7l-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-armv7l-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-armv7l-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-armv7l-2.7/sklearn/linear_model/cd_fast.so -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/linear_model
copying build/lib.linux-armv7l-2.7/sklearn/linear_model/sgd_fast.so -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/linear_model
copying build/lib.linux-armv7l-2.7/sklearn/linear_model/sag_fast.so -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/linear_model
creating /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils
copying build/lib.linux-armv7l-2.7/sklearn/utils/__init__.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils
copying build/lib.linux-armv7l-2.7/sklearn/utils/_scipy_sparse_lsqr_backport.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils
copying build/lib.linux-armv7l-2.7/sklearn/utils/arpack.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils
copying build/lib.linux-armv7l-2.7/sklearn/utils/bench.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils
copying build/lib.linux-armv7l-2.7/sklearn/utils/class_weight.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils
copying build/lib.linux-armv7l-2.7/sklearn/utils/deprecation.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils
copying build/lib.linux-armv7l-2.7/sklearn/utils/estimator_checks.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils
copying build/lib.linux-armv7l-2.7/sklearn/utils/extmath.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils
copying build/lib.linux-armv7l-2.7/sklearn/utils/fixes.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils
copying build/lib.linux-armv7l-2.7/sklearn/utils/graph.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils
copying build/lib.linux-armv7l-2.7/sklearn/utils/linear_assignment_.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils
copying build/lib.linux-armv7l-2.7/sklearn/utils/metaestimators.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils
copying build/lib.linux-armv7l-2.7/sklearn/utils/mocking.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils
copying build/lib.linux-armv7l-2.7/sklearn/utils/multiclass.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils
copying build/lib.linux-armv7l-2.7/sklearn/utils/optimize.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils
copying build/lib.linux-armv7l-2.7/sklearn/utils/random.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils
copying build/lib.linux-armv7l-2.7/sklearn/utils/setup.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils
copying build/lib.linux-armv7l-2.7/sklearn/utils/sparsefuncs.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils
copying build/lib.linux-armv7l-2.7/sklearn/utils/stats.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils
copying build/lib.linux-armv7l-2.7/sklearn/utils/testing.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils
copying build/lib.linux-armv7l-2.7/sklearn/utils/validation.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils
creating /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/sparsetools
copying build/lib.linux-armv7l-2.7/sklearn/utils/sparsetools/__init__.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/sparsetools
copying build/lib.linux-armv7l-2.7/sklearn/utils/sparsetools/setup.py -> /<<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-armv7l-2.7/sklearn/utils/sparsetools/tests/__init__.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/sparsetools/tests
creating /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/tests
copying build/lib.linux-armv7l-2.7/sklearn/utils/tests/__init__.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/tests
copying build/lib.linux-armv7l-2.7/sklearn/utils/tests/test_bench.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/tests
copying build/lib.linux-armv7l-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-armv7l-2.7/sklearn/utils/tests/test_deprecation.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/tests
copying build/lib.linux-armv7l-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-armv7l-2.7/sklearn/utils/tests/test_extmath.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/tests
copying build/lib.linux-armv7l-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-armv7l-2.7/sklearn/utils/tests/test_fixes.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/tests
copying build/lib.linux-armv7l-2.7/sklearn/utils/tests/test_graph.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/tests
copying build/lib.linux-armv7l-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-armv7l-2.7/sklearn/utils/tests/test_metaestimators.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/tests
copying build/lib.linux-armv7l-2.7/sklearn/utils/tests/test_multiclass.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/tests
copying build/lib.linux-armv7l-2.7/sklearn/utils/tests/test_murmurhash.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/tests
copying build/lib.linux-armv7l-2.7/sklearn/utils/tests/test_optimize.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/tests
copying build/lib.linux-armv7l-2.7/sklearn/utils/tests/test_random.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/tests
copying build/lib.linux-armv7l-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-armv7l-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-armv7l-2.7/sklearn/utils/tests/test_sparsefuncs.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/tests
copying build/lib.linux-armv7l-2.7/sklearn/utils/tests/test_stats.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/tests
copying build/lib.linux-armv7l-2.7/sklearn/utils/tests/test_testing.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/tests
copying build/lib.linux-armv7l-2.7/sklearn/utils/tests/test_utils.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/tests
copying build/lib.linux-armv7l-2.7/sklearn/utils/tests/test_validation.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/tests
copying build/lib.linux-armv7l-2.7/sklearn/utils/sparsefuncs_fast.so -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils
copying build/lib.linux-armv7l-2.7/sklearn/utils/arrayfuncs.so -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils
copying build/lib.linux-armv7l-2.7/sklearn/utils/murmurhash.so -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils
copying build/lib.linux-armv7l-2.7/sklearn/utils/lgamma.so -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils
copying build/lib.linux-armv7l-2.7/sklearn/utils/graph_shortest_path.so -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils
copying build/lib.linux-armv7l-2.7/sklearn/utils/fast_dict.so -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils
copying build/lib.linux-armv7l-2.7/sklearn/utils/seq_dataset.so -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils
copying build/lib.linux-armv7l-2.7/sklearn/utils/weight_vector.so -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils
copying build/lib.linux-armv7l-2.7/sklearn/utils/_random.so -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils
copying build/lib.linux-armv7l-2.7/sklearn/utils/_logistic_sigmoid.so -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils
creating /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests
copying build/lib.linux-armv7l-2.7/sklearn/tests/__init__.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests
copying build/lib.linux-armv7l-2.7/sklearn/tests/test_base.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests
copying build/lib.linux-armv7l-2.7/sklearn/tests/test_calibration.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests
copying build/lib.linux-armv7l-2.7/sklearn/tests/test_check_build.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests
copying build/lib.linux-armv7l-2.7/sklearn/tests/test_common.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests
copying build/lib.linux-armv7l-2.7/sklearn/tests/test_config.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests
copying build/lib.linux-armv7l-2.7/sklearn/tests/test_cross_validation.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests
copying build/lib.linux-armv7l-2.7/sklearn/tests/test_discriminant_analysis.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests
copying build/lib.linux-armv7l-2.7/sklearn/tests/test_docstring_parameters.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests
copying build/lib.linux-armv7l-2.7/sklearn/tests/test_dummy.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests
copying build/lib.linux-armv7l-2.7/sklearn/tests/test_grid_search.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests
copying build/lib.linux-armv7l-2.7/sklearn/tests/test_init.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests
copying build/lib.linux-armv7l-2.7/sklearn/tests/test_isotonic.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests
copying build/lib.linux-armv7l-2.7/sklearn/tests/test_kernel_approximation.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests
copying build/lib.linux-armv7l-2.7/sklearn/tests/test_kernel_ridge.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests
copying build/lib.linux-armv7l-2.7/sklearn/tests/test_learning_curve.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests
copying build/lib.linux-armv7l-2.7/sklearn/tests/test_metaestimators.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests
copying build/lib.linux-armv7l-2.7/sklearn/tests/test_multiclass.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests
copying build/lib.linux-armv7l-2.7/sklearn/tests/test_multioutput.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests
copying build/lib.linux-armv7l-2.7/sklearn/tests/test_naive_bayes.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests
copying build/lib.linux-armv7l-2.7/sklearn/tests/test_pipeline.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests
copying build/lib.linux-armv7l-2.7/sklearn/tests/test_random_projection.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests
copying build/lib.linux-armv7l-2.7/sklearn/_isotonic.so -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn
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/base.py to base.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/calibration.py to calibration.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/discriminant_analysis.py to discriminant_analysis.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/exceptions.py to exceptions.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/isotonic.py to isotonic.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/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/multiclass.py to multiclass.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/naive_bayes.py to naive_bayes.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/random_projection.py to random_projection.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/__check_build/__init__.py to __init__.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/_build_utils/__init__.py to __init__.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/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/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/tests/__init__.py to __init__.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/test_graph_lasso.py to test_graph_lasso.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/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/cross_decomposition/pls_.py to pls_.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/feature_selection/__init__.py to __init__.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/from_model.py to from_model.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/feature_selection/rfe.py to rfe.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/variance_threshold.py to variance_threshold.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_chi2.py to test_chi2.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_rfe.py to test_rfe.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/gaussian_process/__init__.py to __init__.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/gaussian_process.py to gaussian_process.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/gaussian_process/gpr.py to gpr.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/regression_models.py to regression_models.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_gaussian_process.py to test_gaussian_process.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/tests/test_gpr.py to test_gpr.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/mixture/__init__.py to __init__.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/bayesian_mixture.py to bayesian_mixture.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/gaussian_mixture.py to gaussian_mixture.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/tests/__init__.py to __init__.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/test_gmm.py to test_gmm.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/_search.py to _search.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/model_selection/_validation.py to _validation.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/common.py to common.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/test_validation.py to test_validation.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/neural_network/__init__.py to __init__.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/_stochastic_optimizers.py to _stochastic_optimizers.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/rbm.py to 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_mlp.py to test_mlp.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/test_stochastic_optimizers.py to test_stochastic_optimizers.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/_function_transformer.py to _function_transformer.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/imputation.py to imputation.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/tests/__init__.py to __init__.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/test_imputation.py to test_imputation.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/semi_supervised/__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/tests/__init__.py to __init__.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/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/cluster/affinity_propagation_.py to affinity_propagation_.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/birch.py to birch.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/hierarchical.py to hierarchical.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/setup.py to setup.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/tests/__init__.py to __init__.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_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_birch.py to test_birch.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/test_k_means.py to test_k_means.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/tests/test_spectral.py to test_spectral.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/base.py to base.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/covtype.py to covtype.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/mlcomp.py to mlcomp.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/olivetti_faces.py to olivetti_faces.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/samples_generator.py to samples_generator.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/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/twenty_newsgroups.py to twenty_newsgroups.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/tests/__init__.py to __init__.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_base.py to test_base.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_kddcup99.py to test_kddcup99.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_rcv1.py to test_rcv1.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/tests/test_svmlight_format.py to test_svmlight_format.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/base.py to base.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/fastica_.py to fastica_.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/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/online_lda.py to online_lda.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/setup.py to setup.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/decomposition/truncated_svd.py to truncated_svd.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_dict_learning.py to test_dict_learning.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_fastica.py to test_fastica.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_kernel_pca.py to test_kernel_pca.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/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_pca.py to test_pca.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/test_truncated_svd.py to test_truncated_svd.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/bagging.py to bagging.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/forest.py to forest.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/iforest.py to iforest.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/setup.py to setup.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/weight_boosting.py to weight_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_bagging.py to test_bagging.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_forest.py to test_forest.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/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_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_voting_classifier.py to test_voting_classifier.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/externals/__init__.py to __init__.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/setup.py to setup.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/test_externals_setup.py to test_externals_setup.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/feature_extraction/__init__.py to __init__.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/image.py to image.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/stop_words.py to stop_words.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/tests/__init__.py to __init__.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/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_image.py to test_image.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/manifold/__init__.py to __init__.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/mds.py to mds.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/spectral_embedding_.py to spectral_embedding_.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/manifold/tests/__init__.py to __init__.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/test_locally_linear.py to test_locally_linear.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_spectral_embedding.py to test_spectral_embedding.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/metrics/__init__.py to __init__.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/classification.py to classification.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/regression.py to regression.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/setup.py to setup.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/tests/__init__.py to __init__.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/test_common.py to test_common.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/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/cluster/__init__.py to __init__.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/setup.py to setup.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/cluster/unsupervised.py to unsupervised.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_bicluster.py to test_bicluster.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/test_unsupervised.py to test_unsupervised.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/base.py to base.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/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/lof.py to lof.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/regression.py to regression.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/unsupervised.py to unsupervised.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_ball_tree.py to test_ball_tree.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_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_lof.py to test_lof.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/test_neighbors.py to test_neighbors.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_approximate.py to test_approximate.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/tree/export.py to export.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/tree.py to tree.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/tests/test_export.py to test_export.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/svm/__init__.py to __init__.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/bounds.py to bounds.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/tests/__init__.py to __init__.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/test_sparse.py to test_sparse.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/linear_model/__init__.py to __init__.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/bayes.py to bayes.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/huber.py to huber.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/linear_model/logistic.py to logistic.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/passive_aggressive.py to passive_aggressive.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/randomized_l1.py to randomized_l1.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/ridge.py to ridge.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/setup.py to setup.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/theil_sen.py to theil_sen.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_bayes.py to test_bayes.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/tests/test_huber.py to test_huber.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_logistic.py to test_logistic.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/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_perceptron.py to test_perceptron.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_ransac.py to test_ransac.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_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_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_theil_sen.py to test_theil_sen.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/_scipy_sparse_lsqr_backport.py to _scipy_sparse_lsqr_backport.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/bench.py to bench.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/deprecation.py to deprecation.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/extmath.py to extmath.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/graph.py to graph.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/metaestimators.py to metaestimators.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/multiclass.py to multiclass.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/utils/random.py to random.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/sparsefuncs.py to sparsefuncs.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/testing.py to testing.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/sparsetools/__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/tests/__init__.py to __init__.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_bench.py to test_bench.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_deprecation.py to test_deprecation.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_extmath.py to test_extmath.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_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_linear_assignment.py to test_linear_assignment.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_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_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_seq_dataset.py to test_seq_dataset.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_sparsefuncs.py to test_sparsefuncs.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/test_testing.py to test_testing.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_validation.py to test_validation.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_calibration.py to test_calibration.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_common.py to test_common.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_cross_validation.py to test_cross_validation.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_docstring_parameters.py to test_docstring_parameters.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_grid_search.py to test_grid_search.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_kernel_approximation.py to test_kernel_approximation.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_learning_curve.py to test_learning_curve.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_multiclass.py to test_multiclass.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_naive_bayes.py to test_naive_bayes.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_random_projection.py to test_random_projection.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_invalid.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/
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/iris.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/linnerud_physiological.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-0.19.1.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:
libraries mkl_rt not found in ['/usr/local/lib', '/usr/lib', '/usr/lib/arm-linux-gnueabihf']
NOT AVAILABLE
blis_info:
libraries blis not found in ['/usr/local/lib', '/usr/lib', '/usr/lib/arm-linux-gnueabihf']
NOT AVAILABLE
openblas_info:
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
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:
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
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:
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:
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'
Warning: Extension name 'sklearn.metrics/cluster.expected_mutual_info_fast' does not match fully qualified name 'sklearn.metrics.cluster.expected_mutual_info_fast' of 'sklearn/metrics/cluster/expected_mutual_info_fast.pyx'
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.pairwise_fast" sources
building extension "sklearn.metrics/cluster.expected_mutual_info_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-armv7l-3.6
creating build/lib.linux-armv7l-3.6/sklearn
copying sklearn/__init__.py -> build/lib.linux-armv7l-3.6/sklearn
copying sklearn/base.py -> build/lib.linux-armv7l-3.6/sklearn
copying sklearn/calibration.py -> build/lib.linux-armv7l-3.6/sklearn
copying sklearn/cross_validation.py -> build/lib.linux-armv7l-3.6/sklearn
copying sklearn/discriminant_analysis.py -> build/lib.linux-armv7l-3.6/sklearn
copying sklearn/dummy.py -> build/lib.linux-armv7l-3.6/sklearn
copying sklearn/exceptions.py -> build/lib.linux-armv7l-3.6/sklearn
copying sklearn/grid_search.py -> build/lib.linux-armv7l-3.6/sklearn
copying sklearn/isotonic.py -> build/lib.linux-armv7l-3.6/sklearn
copying sklearn/kernel_approximation.py -> build/lib.linux-armv7l-3.6/sklearn
copying sklearn/kernel_ridge.py -> build/lib.linux-armv7l-3.6/sklearn
copying sklearn/learning_curve.py -> build/lib.linux-armv7l-3.6/sklearn
copying sklearn/multiclass.py -> build/lib.linux-armv7l-3.6/sklearn
copying sklearn/multioutput.py -> build/lib.linux-armv7l-3.6/sklearn
copying sklearn/naive_bayes.py -> build/lib.linux-armv7l-3.6/sklearn
copying sklearn/pipeline.py -> build/lib.linux-armv7l-3.6/sklearn
copying sklearn/random_projection.py -> build/lib.linux-armv7l-3.6/sklearn
copying sklearn/setup.py -> build/lib.linux-armv7l-3.6/sklearn
creating build/lib.linux-armv7l-3.6/sklearn/__check_build
copying sklearn/__check_build/__init__.py -> build/lib.linux-armv7l-3.6/sklearn/__check_build
copying sklearn/__check_build/setup.py -> build/lib.linux-armv7l-3.6/sklearn/__check_build
creating build/lib.linux-armv7l-3.6/sklearn/_build_utils
copying sklearn/_build_utils/__init__.py -> build/lib.linux-armv7l-3.6/sklearn/_build_utils
creating build/lib.linux-armv7l-3.6/sklearn/covariance
copying sklearn/covariance/__init__.py -> build/lib.linux-armv7l-3.6/sklearn/covariance
copying sklearn/covariance/empirical_covariance_.py -> build/lib.linux-armv7l-3.6/sklearn/covariance
copying sklearn/covariance/graph_lasso_.py -> build/lib.linux-armv7l-3.6/sklearn/covariance
copying sklearn/covariance/outlier_detection.py -> build/lib.linux-armv7l-3.6/sklearn/covariance
copying sklearn/covariance/robust_covariance.py -> build/lib.linux-armv7l-3.6/sklearn/covariance
copying sklearn/covariance/shrunk_covariance_.py -> build/lib.linux-armv7l-3.6/sklearn/covariance
creating build/lib.linux-armv7l-3.6/sklearn/covariance/tests
copying sklearn/covariance/tests/__init__.py -> build/lib.linux-armv7l-3.6/sklearn/covariance/tests
copying sklearn/covariance/tests/test_covariance.py -> build/lib.linux-armv7l-3.6/sklearn/covariance/tests
copying sklearn/covariance/tests/test_graph_lasso.py -> build/lib.linux-armv7l-3.6/sklearn/covariance/tests
copying sklearn/covariance/tests/test_robust_covariance.py -> build/lib.linux-armv7l-3.6/sklearn/covariance/tests
creating build/lib.linux-armv7l-3.6/sklearn/cross_decomposition
copying sklearn/cross_decomposition/__init__.py -> build/lib.linux-armv7l-3.6/sklearn/cross_decomposition
copying sklearn/cross_decomposition/cca_.py -> build/lib.linux-armv7l-3.6/sklearn/cross_decomposition
copying sklearn/cross_decomposition/pls_.py -> build/lib.linux-armv7l-3.6/sklearn/cross_decomposition
creating build/lib.linux-armv7l-3.6/sklearn/cross_decomposition/tests
copying sklearn/cross_decomposition/tests/__init__.py -> build/lib.linux-armv7l-3.6/sklearn/cross_decomposition/tests
copying sklearn/cross_decomposition/tests/test_pls.py -> build/lib.linux-armv7l-3.6/sklearn/cross_decomposition/tests
creating build/lib.linux-armv7l-3.6/sklearn/feature_selection
copying sklearn/feature_selection/__init__.py -> build/lib.linux-armv7l-3.6/sklearn/feature_selection
copying sklearn/feature_selection/base.py -> build/lib.linux-armv7l-3.6/sklearn/feature_selection
copying sklearn/feature_selection/from_model.py -> build/lib.linux-armv7l-3.6/sklearn/feature_selection
copying sklearn/feature_selection/mutual_info_.py -> build/lib.linux-armv7l-3.6/sklearn/feature_selection
copying sklearn/feature_selection/rfe.py -> build/lib.linux-armv7l-3.6/sklearn/feature_selection
copying sklearn/feature_selection/univariate_selection.py -> build/lib.linux-armv7l-3.6/sklearn/feature_selection
copying sklearn/feature_selection/variance_threshold.py -> build/lib.linux-armv7l-3.6/sklearn/feature_selection
creating build/lib.linux-armv7l-3.6/sklearn/feature_selection/tests
copying sklearn/feature_selection/tests/__init__.py -> build/lib.linux-armv7l-3.6/sklearn/feature_selection/tests
copying sklearn/feature_selection/tests/test_base.py -> build/lib.linux-armv7l-3.6/sklearn/feature_selection/tests
copying sklearn/feature_selection/tests/test_chi2.py -> build/lib.linux-armv7l-3.6/sklearn/feature_selection/tests
copying sklearn/feature_selection/tests/test_feature_select.py -> build/lib.linux-armv7l-3.6/sklearn/feature_selection/tests
copying sklearn/feature_selection/tests/test_from_model.py -> build/lib.linux-armv7l-3.6/sklearn/feature_selection/tests
copying sklearn/feature_selection/tests/test_mutual_info.py -> build/lib.linux-armv7l-3.6/sklearn/feature_selection/tests
copying sklearn/feature_selection/tests/test_rfe.py -> build/lib.linux-armv7l-3.6/sklearn/feature_selection/tests
copying sklearn/feature_selection/tests/test_variance_threshold.py -> build/lib.linux-armv7l-3.6/sklearn/feature_selection/tests
creating build/lib.linux-armv7l-3.6/sklearn/gaussian_process
copying sklearn/gaussian_process/__init__.py -> build/lib.linux-armv7l-3.6/sklearn/gaussian_process
copying sklearn/gaussian_process/correlation_models.py -> build/lib.linux-armv7l-3.6/sklearn/gaussian_process
copying sklearn/gaussian_process/gaussian_process.py -> build/lib.linux-armv7l-3.6/sklearn/gaussian_process
copying sklearn/gaussian_process/gpc.py -> build/lib.linux-armv7l-3.6/sklearn/gaussian_process
copying sklearn/gaussian_process/gpr.py -> build/lib.linux-armv7l-3.6/sklearn/gaussian_process
copying sklearn/gaussian_process/kernels.py -> build/lib.linux-armv7l-3.6/sklearn/gaussian_process
copying sklearn/gaussian_process/regression_models.py -> build/lib.linux-armv7l-3.6/sklearn/gaussian_process
creating build/lib.linux-armv7l-3.6/sklearn/gaussian_process/tests
copying sklearn/gaussian_process/tests/__init__.py -> build/lib.linux-armv7l-3.6/sklearn/gaussian_process/tests
copying sklearn/gaussian_process/tests/test_gaussian_process.py -> build/lib.linux-armv7l-3.6/sklearn/gaussian_process/tests
copying sklearn/gaussian_process/tests/test_gpc.py -> build/lib.linux-armv7l-3.6/sklearn/gaussian_process/tests
copying sklearn/gaussian_process/tests/test_gpr.py -> build/lib.linux-armv7l-3.6/sklearn/gaussian_process/tests
copying sklearn/gaussian_process/tests/test_kernels.py -> build/lib.linux-armv7l-3.6/sklearn/gaussian_process/tests
creating build/lib.linux-armv7l-3.6/sklearn/mixture
copying sklearn/mixture/__init__.py -> build/lib.linux-armv7l-3.6/sklearn/mixture
copying sklearn/mixture/base.py -> build/lib.linux-armv7l-3.6/sklearn/mixture
copying sklearn/mixture/bayesian_mixture.py -> build/lib.linux-armv7l-3.6/sklearn/mixture
copying sklearn/mixture/dpgmm.py -> build/lib.linux-armv7l-3.6/sklearn/mixture
copying sklearn/mixture/gaussian_mixture.py -> build/lib.linux-armv7l-3.6/sklearn/mixture
copying sklearn/mixture/gmm.py -> build/lib.linux-armv7l-3.6/sklearn/mixture
creating build/lib.linux-armv7l-3.6/sklearn/mixture/tests
copying sklearn/mixture/tests/__init__.py -> build/lib.linux-armv7l-3.6/sklearn/mixture/tests
copying sklearn/mixture/tests/test_bayesian_mixture.py -> build/lib.linux-armv7l-3.6/sklearn/mixture/tests
copying sklearn/mixture/tests/test_dpgmm.py -> build/lib.linux-armv7l-3.6/sklearn/mixture/tests
copying sklearn/mixture/tests/test_gaussian_mixture.py -> build/lib.linux-armv7l-3.6/sklearn/mixture/tests
copying sklearn/mixture/tests/test_gmm.py -> build/lib.linux-armv7l-3.6/sklearn/mixture/tests
creating build/lib.linux-armv7l-3.6/sklearn/model_selection
copying sklearn/model_selection/__init__.py -> build/lib.linux-armv7l-3.6/sklearn/model_selection
copying sklearn/model_selection/_search.py -> build/lib.linux-armv7l-3.6/sklearn/model_selection
copying sklearn/model_selection/_split.py -> build/lib.linux-armv7l-3.6/sklearn/model_selection
copying sklearn/model_selection/_validation.py -> build/lib.linux-armv7l-3.6/sklearn/model_selection
creating build/lib.linux-armv7l-3.6/sklearn/model_selection/tests
copying sklearn/model_selection/tests/__init__.py -> build/lib.linux-armv7l-3.6/sklearn/model_selection/tests
copying sklearn/model_selection/tests/common.py -> build/lib.linux-armv7l-3.6/sklearn/model_selection/tests
copying sklearn/model_selection/tests/test_split.py -> build/lib.linux-armv7l-3.6/sklearn/model_selection/tests
copying sklearn/model_selection/tests/test_validation.py -> build/lib.linux-armv7l-3.6/sklearn/model_selection/tests
copying sklearn/model_selection/tests/test_search.py -> build/lib.linux-armv7l-3.6/sklearn/model_selection/tests
creating build/lib.linux-armv7l-3.6/sklearn/neural_network
copying sklearn/neural_network/__init__.py -> build/lib.linux-armv7l-3.6/sklearn/neural_network
copying sklearn/neural_network/_base.py -> build/lib.linux-armv7l-3.6/sklearn/neural_network
copying sklearn/neural_network/_stochastic_optimizers.py -> build/lib.linux-armv7l-3.6/sklearn/neural_network
copying sklearn/neural_network/multilayer_perceptron.py -> build/lib.linux-armv7l-3.6/sklearn/neural_network
copying sklearn/neural_network/rbm.py -> build/lib.linux-armv7l-3.6/sklearn/neural_network
creating build/lib.linux-armv7l-3.6/sklearn/neural_network/tests
copying sklearn/neural_network/tests/__init__.py -> build/lib.linux-armv7l-3.6/sklearn/neural_network/tests
copying sklearn/neural_network/tests/test_mlp.py -> build/lib.linux-armv7l-3.6/sklearn/neural_network/tests
copying sklearn/neural_network/tests/test_rbm.py -> build/lib.linux-armv7l-3.6/sklearn/neural_network/tests
copying sklearn/neural_network/tests/test_stochastic_optimizers.py -> build/lib.linux-armv7l-3.6/sklearn/neural_network/tests
creating build/lib.linux-armv7l-3.6/sklearn/preprocessing
copying sklearn/preprocessing/__init__.py -> build/lib.linux-armv7l-3.6/sklearn/preprocessing
copying sklearn/preprocessing/_function_transformer.py -> build/lib.linux-armv7l-3.6/sklearn/preprocessing
copying sklearn/preprocessing/data.py -> build/lib.linux-armv7l-3.6/sklearn/preprocessing
copying sklearn/preprocessing/imputation.py -> build/lib.linux-armv7l-3.6/sklearn/preprocessing
copying sklearn/preprocessing/label.py -> build/lib.linux-armv7l-3.6/sklearn/preprocessing
creating build/lib.linux-armv7l-3.6/sklearn/preprocessing/tests
copying sklearn/preprocessing/tests/__init__.py -> build/lib.linux-armv7l-3.6/sklearn/preprocessing/tests
copying sklearn/preprocessing/tests/test_data.py -> build/lib.linux-armv7l-3.6/sklearn/preprocessing/tests
copying sklearn/preprocessing/tests/test_function_transformer.py -> build/lib.linux-armv7l-3.6/sklearn/preprocessing/tests
copying sklearn/preprocessing/tests/test_imputation.py -> build/lib.linux-armv7l-3.6/sklearn/preprocessing/tests
copying sklearn/preprocessing/tests/test_label.py -> build/lib.linux-armv7l-3.6/sklearn/preprocessing/tests
creating build/lib.linux-armv7l-3.6/sklearn/semi_supervised
copying sklearn/semi_supervised/__init__.py -> build/lib.linux-armv7l-3.6/sklearn/semi_supervised
copying sklearn/semi_supervised/label_propagation.py -> build/lib.linux-armv7l-3.6/sklearn/semi_supervised
creating build/lib.linux-armv7l-3.6/sklearn/semi_supervised/tests
copying sklearn/semi_supervised/tests/__init__.py -> build/lib.linux-armv7l-3.6/sklearn/semi_supervised/tests
copying sklearn/semi_supervised/tests/test_label_propagation.py -> build/lib.linux-armv7l-3.6/sklearn/semi_supervised/tests
creating build/lib.linux-armv7l-3.6/sklearn/cluster
copying sklearn/cluster/__init__.py -> build/lib.linux-armv7l-3.6/sklearn/cluster
copying sklearn/cluster/_feature_agglomeration.py -> build/lib.linux-armv7l-3.6/sklearn/cluster
copying sklearn/cluster/affinity_propagation_.py -> build/lib.linux-armv7l-3.6/sklearn/cluster
copying sklearn/cluster/bicluster.py -> build/lib.linux-armv7l-3.6/sklearn/cluster
copying sklearn/cluster/birch.py -> build/lib.linux-armv7l-3.6/sklearn/cluster
copying sklearn/cluster/dbscan_.py -> build/lib.linux-armv7l-3.6/sklearn/cluster
copying sklearn/cluster/hierarchical.py -> build/lib.linux-armv7l-3.6/sklearn/cluster
copying sklearn/cluster/k_means_.py -> build/lib.linux-armv7l-3.6/sklearn/cluster
copying sklearn/cluster/mean_shift_.py -> build/lib.linux-armv7l-3.6/sklearn/cluster
copying sklearn/cluster/setup.py -> build/lib.linux-armv7l-3.6/sklearn/cluster
copying sklearn/cluster/spectral.py -> build/lib.linux-armv7l-3.6/sklearn/cluster
creating build/lib.linux-armv7l-3.6/sklearn/cluster/tests
copying sklearn/cluster/tests/__init__.py -> build/lib.linux-armv7l-3.6/sklearn/cluster/tests
copying sklearn/cluster/tests/common.py -> build/lib.linux-armv7l-3.6/sklearn/cluster/tests
copying sklearn/cluster/tests/test_affinity_propagation.py -> build/lib.linux-armv7l-3.6/sklearn/cluster/tests
copying sklearn/cluster/tests/test_bicluster.py -> build/lib.linux-armv7l-3.6/sklearn/cluster/tests
copying sklearn/cluster/tests/test_birch.py -> build/lib.linux-armv7l-3.6/sklearn/cluster/tests
copying sklearn/cluster/tests/test_dbscan.py -> build/lib.linux-armv7l-3.6/sklearn/cluster/tests
copying sklearn/cluster/tests/test_hierarchical.py -> build/lib.linux-armv7l-3.6/sklearn/cluster/tests
copying sklearn/cluster/tests/test_k_means.py -> build/lib.linux-armv7l-3.6/sklearn/cluster/tests
copying sklearn/cluster/tests/test_mean_shift.py -> build/lib.linux-armv7l-3.6/sklearn/cluster/tests
copying sklearn/cluster/tests/test_spectral.py -> build/lib.linux-armv7l-3.6/sklearn/cluster/tests
creating build/lib.linux-armv7l-3.6/sklearn/datasets
copying sklearn/datasets/__init__.py -> build/lib.linux-armv7l-3.6/sklearn/datasets
copying sklearn/datasets/base.py -> build/lib.linux-armv7l-3.6/sklearn/datasets
copying sklearn/datasets/california_housing.py -> build/lib.linux-armv7l-3.6/sklearn/datasets
copying sklearn/datasets/covtype.py -> build/lib.linux-armv7l-3.6/sklearn/datasets
copying sklearn/datasets/kddcup99.py -> build/lib.linux-armv7l-3.6/sklearn/datasets
copying sklearn/datasets/mlcomp.py -> build/lib.linux-armv7l-3.6/sklearn/datasets
copying sklearn/datasets/mldata.py -> build/lib.linux-armv7l-3.6/sklearn/datasets
copying sklearn/datasets/olivetti_faces.py -> build/lib.linux-armv7l-3.6/sklearn/datasets
copying sklearn/datasets/rcv1.py -> build/lib.linux-armv7l-3.6/sklearn/datasets
copying sklearn/datasets/samples_generator.py -> build/lib.linux-armv7l-3.6/sklearn/datasets
copying sklearn/datasets/setup.py -> build/lib.linux-armv7l-3.6/sklearn/datasets
copying sklearn/datasets/species_distributions.py -> build/lib.linux-armv7l-3.6/sklearn/datasets
copying sklearn/datasets/svmlight_format.py -> build/lib.linux-armv7l-3.6/sklearn/datasets
copying sklearn/datasets/twenty_newsgroups.py -> build/lib.linux-armv7l-3.6/sklearn/datasets
copying sklearn/datasets/lfw.py -> build/lib.linux-armv7l-3.6/sklearn/datasets
creating build/lib.linux-armv7l-3.6/sklearn/datasets/tests
copying sklearn/datasets/tests/__init__.py -> build/lib.linux-armv7l-3.6/sklearn/datasets/tests
copying sklearn/datasets/tests/test_20news.py -> build/lib.linux-armv7l-3.6/sklearn/datasets/tests
copying sklearn/datasets/tests/test_base.py -> build/lib.linux-armv7l-3.6/sklearn/datasets/tests
copying sklearn/datasets/tests/test_covtype.py -> build/lib.linux-armv7l-3.6/sklearn/datasets/tests
copying sklearn/datasets/tests/test_kddcup99.py -> build/lib.linux-armv7l-3.6/sklearn/datasets/tests
copying sklearn/datasets/tests/test_lfw.py -> build/lib.linux-armv7l-3.6/sklearn/datasets/tests
copying sklearn/datasets/tests/test_mldata.py -> build/lib.linux-armv7l-3.6/sklearn/datasets/tests
copying sklearn/datasets/tests/test_rcv1.py -> build/lib.linux-armv7l-3.6/sklearn/datasets/tests
copying sklearn/datasets/tests/test_samples_generator.py -> build/lib.linux-armv7l-3.6/sklearn/datasets/tests
copying sklearn/datasets/tests/test_svmlight_format.py -> build/lib.linux-armv7l-3.6/sklearn/datasets/tests
creating build/lib.linux-armv7l-3.6/sklearn/decomposition
copying sklearn/decomposition/__init__.py -> build/lib.linux-armv7l-3.6/sklearn/decomposition
copying sklearn/decomposition/base.py -> build/lib.linux-armv7l-3.6/sklearn/decomposition
copying sklearn/decomposition/dict_learning.py -> build/lib.linux-armv7l-3.6/sklearn/decomposition
copying sklearn/decomposition/factor_analysis.py -> build/lib.linux-armv7l-3.6/sklearn/decomposition
copying sklearn/decomposition/fastica_.py -> build/lib.linux-armv7l-3.6/sklearn/decomposition
copying sklearn/decomposition/incremental_pca.py -> build/lib.linux-armv7l-3.6/sklearn/decomposition
copying sklearn/decomposition/kernel_pca.py -> build/lib.linux-armv7l-3.6/sklearn/decomposition
copying sklearn/decomposition/nmf.py -> build/lib.linux-armv7l-3.6/sklearn/decomposition
copying sklearn/decomposition/online_lda.py -> build/lib.linux-armv7l-3.6/sklearn/decomposition
copying sklearn/decomposition/pca.py -> build/lib.linux-armv7l-3.6/sklearn/decomposition
copying sklearn/decomposition/setup.py -> build/lib.linux-armv7l-3.6/sklearn/decomposition
copying sklearn/decomposition/sparse_pca.py -> build/lib.linux-armv7l-3.6/sklearn/decomposition
copying sklearn/decomposition/truncated_svd.py -> build/lib.linux-armv7l-3.6/sklearn/decomposition
creating build/lib.linux-armv7l-3.6/sklearn/decomposition/tests
copying sklearn/decomposition/tests/__init__.py -> build/lib.linux-armv7l-3.6/sklearn/decomposition/tests
copying sklearn/decomposition/tests/test_dict_learning.py -> build/lib.linux-armv7l-3.6/sklearn/decomposition/tests
copying sklearn/decomposition/tests/test_factor_analysis.py -> build/lib.linux-armv7l-3.6/sklearn/decomposition/tests
copying sklearn/decomposition/tests/test_fastica.py -> build/lib.linux-armv7l-3.6/sklearn/decomposition/tests
copying sklearn/decomposition/tests/test_incremental_pca.py -> build/lib.linux-armv7l-3.6/sklearn/decomposition/tests
copying sklearn/decomposition/tests/test_kernel_pca.py -> build/lib.linux-armv7l-3.6/sklearn/decomposition/tests
copying sklearn/decomposition/tests/test_nmf.py -> build/lib.linux-armv7l-3.6/sklearn/decomposition/tests
copying sklearn/decomposition/tests/test_online_lda.py -> build/lib.linux-armv7l-3.6/sklearn/decomposition/tests
copying sklearn/decomposition/tests/test_pca.py -> build/lib.linux-armv7l-3.6/sklearn/decomposition/tests
copying sklearn/decomposition/tests/test_sparse_pca.py -> build/lib.linux-armv7l-3.6/sklearn/decomposition/tests
copying sklearn/decomposition/tests/test_truncated_svd.py -> build/lib.linux-armv7l-3.6/sklearn/decomposition/tests
creating build/lib.linux-armv7l-3.6/sklearn/ensemble
copying sklearn/ensemble/__init__.py -> build/lib.linux-armv7l-3.6/sklearn/ensemble
copying sklearn/ensemble/bagging.py -> build/lib.linux-armv7l-3.6/sklearn/ensemble
copying sklearn/ensemble/base.py -> build/lib.linux-armv7l-3.6/sklearn/ensemble
copying sklearn/ensemble/forest.py -> build/lib.linux-armv7l-3.6/sklearn/ensemble
copying sklearn/ensemble/gradient_boosting.py -> build/lib.linux-armv7l-3.6/sklearn/ensemble
copying sklearn/ensemble/iforest.py -> build/lib.linux-armv7l-3.6/sklearn/ensemble
copying sklearn/ensemble/partial_dependence.py -> build/lib.linux-armv7l-3.6/sklearn/ensemble
copying sklearn/ensemble/setup.py -> build/lib.linux-armv7l-3.6/sklearn/ensemble
copying sklearn/ensemble/voting_classifier.py -> build/lib.linux-armv7l-3.6/sklearn/ensemble
copying sklearn/ensemble/weight_boosting.py -> build/lib.linux-armv7l-3.6/sklearn/ensemble
creating build/lib.linux-armv7l-3.6/sklearn/ensemble/tests
copying sklearn/ensemble/tests/__init__.py -> build/lib.linux-armv7l-3.6/sklearn/ensemble/tests
copying sklearn/ensemble/tests/test_bagging.py -> build/lib.linux-armv7l-3.6/sklearn/ensemble/tests
copying sklearn/ensemble/tests/test_base.py -> build/lib.linux-armv7l-3.6/sklearn/ensemble/tests
copying sklearn/ensemble/tests/test_forest.py -> build/lib.linux-armv7l-3.6/sklearn/ensemble/tests
copying sklearn/ensemble/tests/test_gradient_boosting.py -> build/lib.linux-armv7l-3.6/sklearn/ensemble/tests
copying sklearn/ensemble/tests/test_gradient_boosting_loss_functions.py -> build/lib.linux-armv7l-3.6/sklearn/ensemble/tests
copying sklearn/ensemble/tests/test_iforest.py -> build/lib.linux-armv7l-3.6/sklearn/ensemble/tests
copying sklearn/ensemble/tests/test_partial_dependence.py -> build/lib.linux-armv7l-3.6/sklearn/ensemble/tests
copying sklearn/ensemble/tests/test_voting_classifier.py -> build/lib.linux-armv7l-3.6/sklearn/ensemble/tests
copying sklearn/ensemble/tests/test_weight_boosting.py -> build/lib.linux-armv7l-3.6/sklearn/ensemble/tests
creating build/lib.linux-armv7l-3.6/sklearn/externals
copying sklearn/externals/__init__.py -> build/lib.linux-armv7l-3.6/sklearn/externals
copying sklearn/externals/funcsigs.py -> build/lib.linux-armv7l-3.6/sklearn/externals
copying sklearn/externals/setup.py -> build/lib.linux-armv7l-3.6/sklearn/externals
copying sklearn/externals/six.py -> build/lib.linux-armv7l-3.6/sklearn/externals
copying sklearn/externals/test_externals_setup.py -> build/lib.linux-armv7l-3.6/sklearn/externals
creating build/lib.linux-armv7l-3.6/sklearn/externals/joblib
copying sklearn/externals/joblib/__init__.py -> build/lib.linux-armv7l-3.6/sklearn/externals/joblib
creating build/lib.linux-armv7l-3.6/sklearn/feature_extraction
copying sklearn/feature_extraction/__init__.py -> build/lib.linux-armv7l-3.6/sklearn/feature_extraction
copying sklearn/feature_extraction/dict_vectorizer.py -> build/lib.linux-armv7l-3.6/sklearn/feature_extraction
copying sklearn/feature_extraction/hashing.py -> build/lib.linux-armv7l-3.6/sklearn/feature_extraction
copying sklearn/feature_extraction/image.py -> build/lib.linux-armv7l-3.6/sklearn/feature_extraction
copying sklearn/feature_extraction/setup.py -> build/lib.linux-armv7l-3.6/sklearn/feature_extraction
copying sklearn/feature_extraction/stop_words.py -> build/lib.linux-armv7l-3.6/sklearn/feature_extraction
copying sklearn/feature_extraction/text.py -> build/lib.linux-armv7l-3.6/sklearn/feature_extraction
creating build/lib.linux-armv7l-3.6/sklearn/feature_extraction/tests
copying sklearn/feature_extraction/tests/__init__.py -> build/lib.linux-armv7l-3.6/sklearn/feature_extraction/tests
copying sklearn/feature_extraction/tests/test_dict_vectorizer.py -> build/lib.linux-armv7l-3.6/sklearn/feature_extraction/tests
copying sklearn/feature_extraction/tests/test_feature_hasher.py -> build/lib.linux-armv7l-3.6/sklearn/feature_extraction/tests
copying sklearn/feature_extraction/tests/test_image.py -> build/lib.linux-armv7l-3.6/sklearn/feature_extraction/tests
copying sklearn/feature_extraction/tests/test_text.py -> build/lib.linux-armv7l-3.6/sklearn/feature_extraction/tests
creating build/lib.linux-armv7l-3.6/sklearn/manifold
copying sklearn/manifold/__init__.py -> build/lib.linux-armv7l-3.6/sklearn/manifold
copying sklearn/manifold/isomap.py -> build/lib.linux-armv7l-3.6/sklearn/manifold
copying sklearn/manifold/locally_linear.py -> build/lib.linux-armv7l-3.6/sklearn/manifold
copying sklearn/manifold/mds.py -> build/lib.linux-armv7l-3.6/sklearn/manifold
copying sklearn/manifold/setup.py -> build/lib.linux-armv7l-3.6/sklearn/manifold
copying sklearn/manifold/spectral_embedding_.py -> build/lib.linux-armv7l-3.6/sklearn/manifold
copying sklearn/manifold/t_sne.py -> build/lib.linux-armv7l-3.6/sklearn/manifold
creating build/lib.linux-armv7l-3.6/sklearn/manifold/tests
copying sklearn/manifold/tests/__init__.py -> build/lib.linux-armv7l-3.6/sklearn/manifold/tests
copying sklearn/manifold/tests/test_isomap.py -> build/lib.linux-armv7l-3.6/sklearn/manifold/tests
copying sklearn/manifold/tests/test_locally_linear.py -> build/lib.linux-armv7l-3.6/sklearn/manifold/tests
copying sklearn/manifold/tests/test_mds.py -> build/lib.linux-armv7l-3.6/sklearn/manifold/tests
copying sklearn/manifold/tests/test_spectral_embedding.py -> build/lib.linux-armv7l-3.6/sklearn/manifold/tests
copying sklearn/manifold/tests/test_t_sne.py -> build/lib.linux-armv7l-3.6/sklearn/manifold/tests
creating build/lib.linux-armv7l-3.6/sklearn/metrics
copying sklearn/metrics/__init__.py -> build/lib.linux-armv7l-3.6/sklearn/metrics
copying sklearn/metrics/base.py -> build/lib.linux-armv7l-3.6/sklearn/metrics
copying sklearn/metrics/classification.py -> build/lib.linux-armv7l-3.6/sklearn/metrics
copying sklearn/metrics/ranking.py -> build/lib.linux-armv7l-3.6/sklearn/metrics
copying sklearn/metrics/regression.py -> build/lib.linux-armv7l-3.6/sklearn/metrics
copying sklearn/metrics/scorer.py -> build/lib.linux-armv7l-3.6/sklearn/metrics
copying sklearn/metrics/setup.py -> build/lib.linux-armv7l-3.6/sklearn/metrics
copying sklearn/metrics/pairwise.py -> build/lib.linux-armv7l-3.6/sklearn/metrics
creating build/lib.linux-armv7l-3.6/sklearn/metrics/tests
copying sklearn/metrics/tests/__init__.py -> build/lib.linux-armv7l-3.6/sklearn/metrics/tests
copying sklearn/metrics/tests/test_classification.py -> build/lib.linux-armv7l-3.6/sklearn/metrics/tests
copying sklearn/metrics/tests/test_common.py -> build/lib.linux-armv7l-3.6/sklearn/metrics/tests
copying sklearn/metrics/tests/test_pairwise.py -> build/lib.linux-armv7l-3.6/sklearn/metrics/tests
copying sklearn/metrics/tests/test_regression.py -> build/lib.linux-armv7l-3.6/sklearn/metrics/tests
copying sklearn/metrics/tests/test_score_objects.py -> build/lib.linux-armv7l-3.6/sklearn/metrics/tests
copying sklearn/metrics/tests/test_ranking.py -> build/lib.linux-armv7l-3.6/sklearn/metrics/tests
creating build/lib.linux-armv7l-3.6/sklearn/metrics/cluster
copying sklearn/metrics/cluster/__init__.py -> build/lib.linux-armv7l-3.6/sklearn/metrics/cluster
copying sklearn/metrics/cluster/bicluster.py -> build/lib.linux-armv7l-3.6/sklearn/metrics/cluster
copying sklearn/metrics/cluster/setup.py -> build/lib.linux-armv7l-3.6/sklearn/metrics/cluster
copying sklearn/metrics/cluster/supervised.py -> build/lib.linux-armv7l-3.6/sklearn/metrics/cluster
copying sklearn/metrics/cluster/unsupervised.py -> build/lib.linux-armv7l-3.6/sklearn/metrics/cluster
creating build/lib.linux-armv7l-3.6/sklearn/metrics/cluster/tests
copying sklearn/metrics/cluster/tests/__init__.py -> build/lib.linux-armv7l-3.6/sklearn/metrics/cluster/tests
copying sklearn/metrics/cluster/tests/test_bicluster.py -> build/lib.linux-armv7l-3.6/sklearn/metrics/cluster/tests
copying sklearn/metrics/cluster/tests/test_supervised.py -> build/lib.linux-armv7l-3.6/sklearn/metrics/cluster/tests
copying sklearn/metrics/cluster/tests/test_unsupervised.py -> build/lib.linux-armv7l-3.6/sklearn/metrics/cluster/tests
creating build/lib.linux-armv7l-3.6/sklearn/neighbors
copying sklearn/neighbors/__init__.py -> build/lib.linux-armv7l-3.6/sklearn/neighbors
copying sklearn/neighbors/approximate.py -> build/lib.linux-armv7l-3.6/sklearn/neighbors
copying sklearn/neighbors/base.py -> build/lib.linux-armv7l-3.6/sklearn/neighbors
copying sklearn/neighbors/classification.py -> build/lib.linux-armv7l-3.6/sklearn/neighbors
copying sklearn/neighbors/graph.py -> build/lib.linux-armv7l-3.6/sklearn/neighbors
copying sklearn/neighbors/kde.py -> build/lib.linux-armv7l-3.6/sklearn/neighbors
copying sklearn/neighbors/lof.py -> build/lib.linux-armv7l-3.6/sklearn/neighbors
copying sklearn/neighbors/nearest_centroid.py -> build/lib.linux-armv7l-3.6/sklearn/neighbors
copying sklearn/neighbors/regression.py -> build/lib.linux-armv7l-3.6/sklearn/neighbors
copying sklearn/neighbors/setup.py -> build/lib.linux-armv7l-3.6/sklearn/neighbors
copying sklearn/neighbors/unsupervised.py -> build/lib.linux-armv7l-3.6/sklearn/neighbors
creating build/lib.linux-armv7l-3.6/sklearn/neighbors/tests
copying sklearn/neighbors/tests/__init__.py -> build/lib.linux-armv7l-3.6/sklearn/neighbors/tests
copying sklearn/neighbors/tests/test_ball_tree.py -> build/lib.linux-armv7l-3.6/sklearn/neighbors/tests
copying sklearn/neighbors/tests/test_dist_metrics.py -> build/lib.linux-armv7l-3.6/sklearn/neighbors/tests
copying sklearn/neighbors/tests/test_kd_tree.py -> build/lib.linux-armv7l-3.6/sklearn/neighbors/tests
copying sklearn/neighbors/tests/test_kde.py -> build/lib.linux-armv7l-3.6/sklearn/neighbors/tests
copying sklearn/neighbors/tests/test_lof.py -> build/lib.linux-armv7l-3.6/sklearn/neighbors/tests
copying sklearn/neighbors/tests/test_nearest_centroid.py -> build/lib.linux-armv7l-3.6/sklearn/neighbors/tests
copying sklearn/neighbors/tests/test_neighbors.py -> build/lib.linux-armv7l-3.6/sklearn/neighbors/tests
copying sklearn/neighbors/tests/test_quad_tree.py -> build/lib.linux-armv7l-3.6/sklearn/neighbors/tests
copying sklearn/neighbors/tests/test_approximate.py -> build/lib.linux-armv7l-3.6/sklearn/neighbors/tests
creating build/lib.linux-armv7l-3.6/sklearn/tree
copying sklearn/tree/__init__.py -> build/lib.linux-armv7l-3.6/sklearn/tree
copying sklearn/tree/export.py -> build/lib.linux-armv7l-3.6/sklearn/tree
copying sklearn/tree/setup.py -> build/lib.linux-armv7l-3.6/sklearn/tree
copying sklearn/tree/tree.py -> build/lib.linux-armv7l-3.6/sklearn/tree
creating build/lib.linux-armv7l-3.6/sklearn/tree/tests
copying sklearn/tree/tests/__init__.py -> build/lib.linux-armv7l-3.6/sklearn/tree/tests
copying sklearn/tree/tests/test_export.py -> build/lib.linux-armv7l-3.6/sklearn/tree/tests
copying sklearn/tree/tests/test_tree.py -> build/lib.linux-armv7l-3.6/sklearn/tree/tests
creating build/lib.linux-armv7l-3.6/sklearn/svm
copying sklearn/svm/__init__.py -> build/lib.linux-armv7l-3.6/sklearn/svm
copying sklearn/svm/base.py -> build/lib.linux-armv7l-3.6/sklearn/svm
copying sklearn/svm/bounds.py -> build/lib.linux-armv7l-3.6/sklearn/svm
copying sklearn/svm/classes.py -> build/lib.linux-armv7l-3.6/sklearn/svm
copying sklearn/svm/setup.py -> build/lib.linux-armv7l-3.6/sklearn/svm
creating build/lib.linux-armv7l-3.6/sklearn/svm/tests
copying sklearn/svm/tests/__init__.py -> build/lib.linux-armv7l-3.6/sklearn/svm/tests
copying sklearn/svm/tests/test_bounds.py -> build/lib.linux-armv7l-3.6/sklearn/svm/tests
copying sklearn/svm/tests/test_sparse.py -> build/lib.linux-armv7l-3.6/sklearn/svm/tests
copying sklearn/svm/tests/test_svm.py -> build/lib.linux-armv7l-3.6/sklearn/svm/tests
creating build/lib.linux-armv7l-3.6/sklearn/linear_model
copying sklearn/linear_model/__init__.py -> build/lib.linux-armv7l-3.6/sklearn/linear_model
copying sklearn/linear_model/base.py -> build/lib.linux-armv7l-3.6/sklearn/linear_model
copying sklearn/linear_model/bayes.py -> build/lib.linux-armv7l-3.6/sklearn/linear_model
copying sklearn/linear_model/coordinate_descent.py -> build/lib.linux-armv7l-3.6/sklearn/linear_model
copying sklearn/linear_model/huber.py -> build/lib.linux-armv7l-3.6/sklearn/linear_model
copying sklearn/linear_model/least_angle.py -> build/lib.linux-armv7l-3.6/sklearn/linear_model
copying sklearn/linear_model/logistic.py -> build/lib.linux-armv7l-3.6/sklearn/linear_model
copying sklearn/linear_model/omp.py -> build/lib.linux-armv7l-3.6/sklearn/linear_model
copying sklearn/linear_model/passive_aggressive.py -> build/lib.linux-armv7l-3.6/sklearn/linear_model
copying sklearn/linear_model/perceptron.py -> build/lib.linux-armv7l-3.6/sklearn/linear_model
copying sklearn/linear_model/randomized_l1.py -> build/lib.linux-armv7l-3.6/sklearn/linear_model
copying sklearn/linear_model/ransac.py -> build/lib.linux-armv7l-3.6/sklearn/linear_model
copying sklearn/linear_model/ridge.py -> build/lib.linux-armv7l-3.6/sklearn/linear_model
copying sklearn/linear_model/sag.py -> build/lib.linux-armv7l-3.6/sklearn/linear_model
copying sklearn/linear_model/setup.py -> build/lib.linux-armv7l-3.6/sklearn/linear_model
copying sklearn/linear_model/stochastic_gradient.py -> build/lib.linux-armv7l-3.6/sklearn/linear_model
copying sklearn/linear_model/theil_sen.py -> build/lib.linux-armv7l-3.6/sklearn/linear_model
creating build/lib.linux-armv7l-3.6/sklearn/linear_model/tests
copying sklearn/linear_model/tests/__init__.py -> build/lib.linux-armv7l-3.6/sklearn/linear_model/tests
copying sklearn/linear_model/tests/test_base.py -> build/lib.linux-armv7l-3.6/sklearn/linear_model/tests
copying sklearn/linear_model/tests/test_bayes.py -> build/lib.linux-armv7l-3.6/sklearn/linear_model/tests
copying sklearn/linear_model/tests/test_coordinate_descent.py -> build/lib.linux-armv7l-3.6/sklearn/linear_model/tests
copying sklearn/linear_model/tests/test_huber.py -> build/lib.linux-armv7l-3.6/sklearn/linear_model/tests
copying sklearn/linear_model/tests/test_least_angle.py -> build/lib.linux-armv7l-3.6/sklearn/linear_model/tests
copying sklearn/linear_model/tests/test_logistic.py -> build/lib.linux-armv7l-3.6/sklearn/linear_model/tests
copying sklearn/linear_model/tests/test_omp.py -> build/lib.linux-armv7l-3.6/sklearn/linear_model/tests
copying sklearn/linear_model/tests/test_passive_aggressive.py -> build/lib.linux-armv7l-3.6/sklearn/linear_model/tests
copying sklearn/linear_model/tests/test_perceptron.py -> build/lib.linux-armv7l-3.6/sklearn/linear_model/tests
copying sklearn/linear_model/tests/test_randomized_l1.py -> build/lib.linux-armv7l-3.6/sklearn/linear_model/tests
copying sklearn/linear_model/tests/test_ransac.py -> build/lib.linux-armv7l-3.6/sklearn/linear_model/tests
copying sklearn/linear_model/tests/test_ridge.py -> build/lib.linux-armv7l-3.6/sklearn/linear_model/tests
copying sklearn/linear_model/tests/test_sag.py -> build/lib.linux-armv7l-3.6/sklearn/linear_model/tests
copying sklearn/linear_model/tests/test_sgd.py -> build/lib.linux-armv7l-3.6/sklearn/linear_model/tests
copying sklearn/linear_model/tests/test_sparse_coordinate_descent.py -> build/lib.linux-armv7l-3.6/sklearn/linear_model/tests
copying sklearn/linear_model/tests/test_theil_sen.py -> build/lib.linux-armv7l-3.6/sklearn/linear_model/tests
creating build/lib.linux-armv7l-3.6/sklearn/utils
copying sklearn/utils/__init__.py -> build/lib.linux-armv7l-3.6/sklearn/utils
copying sklearn/utils/_scipy_sparse_lsqr_backport.py -> build/lib.linux-armv7l-3.6/sklearn/utils
copying sklearn/utils/arpack.py -> build/lib.linux-armv7l-3.6/sklearn/utils
copying sklearn/utils/bench.py -> build/lib.linux-armv7l-3.6/sklearn/utils
copying sklearn/utils/class_weight.py -> build/lib.linux-armv7l-3.6/sklearn/utils
copying sklearn/utils/deprecation.py -> build/lib.linux-armv7l-3.6/sklearn/utils
copying sklearn/utils/estimator_checks.py -> build/lib.linux-armv7l-3.6/sklearn/utils
copying sklearn/utils/extmath.py -> build/lib.linux-armv7l-3.6/sklearn/utils
copying sklearn/utils/fixes.py -> build/lib.linux-armv7l-3.6/sklearn/utils
copying sklearn/utils/graph.py -> build/lib.linux-armv7l-3.6/sklearn/utils
copying sklearn/utils/linear_assignment_.py -> build/lib.linux-armv7l-3.6/sklearn/utils
copying sklearn/utils/metaestimators.py -> build/lib.linux-armv7l-3.6/sklearn/utils
copying sklearn/utils/mocking.py -> build/lib.linux-armv7l-3.6/sklearn/utils
copying sklearn/utils/multiclass.py -> build/lib.linux-armv7l-3.6/sklearn/utils
copying sklearn/utils/optimize.py -> build/lib.linux-armv7l-3.6/sklearn/utils
copying sklearn/utils/random.py -> build/lib.linux-armv7l-3.6/sklearn/utils
copying sklearn/utils/setup.py -> build/lib.linux-armv7l-3.6/sklearn/utils
copying sklearn/utils/sparsefuncs.py -> build/lib.linux-armv7l-3.6/sklearn/utils
copying sklearn/utils/stats.py -> build/lib.linux-armv7l-3.6/sklearn/utils
copying sklearn/utils/testing.py -> build/lib.linux-armv7l-3.6/sklearn/utils
copying sklearn/utils/validation.py -> build/lib.linux-armv7l-3.6/sklearn/utils
creating build/lib.linux-armv7l-3.6/sklearn/utils/sparsetools
copying sklearn/utils/sparsetools/__init__.py -> build/lib.linux-armv7l-3.6/sklearn/utils/sparsetools
copying sklearn/utils/sparsetools/setup.py -> build/lib.linux-armv7l-3.6/sklearn/utils/sparsetools
creating build/lib.linux-armv7l-3.6/sklearn/utils/sparsetools/tests
copying sklearn/utils/sparsetools/tests/__init__.py -> build/lib.linux-armv7l-3.6/sklearn/utils/sparsetools/tests
creating build/lib.linux-armv7l-3.6/sklearn/utils/tests
copying sklearn/utils/tests/__init__.py -> build/lib.linux-armv7l-3.6/sklearn/utils/tests
copying sklearn/utils/tests/test_bench.py -> build/lib.linux-armv7l-3.6/sklearn/utils/tests
copying sklearn/utils/tests/test_class_weight.py -> build/lib.linux-armv7l-3.6/sklearn/utils/tests
copying sklearn/utils/tests/test_deprecation.py -> build/lib.linux-armv7l-3.6/sklearn/utils/tests
copying sklearn/utils/tests/test_estimator_checks.py -> build/lib.linux-armv7l-3.6/sklearn/utils/tests
copying sklearn/utils/tests/test_extmath.py -> build/lib.linux-armv7l-3.6/sklearn/utils/tests
copying sklearn/utils/tests/test_fast_dict.py -> build/lib.linux-armv7l-3.6/sklearn/utils/tests
copying sklearn/utils/tests/test_fixes.py -> build/lib.linux-armv7l-3.6/sklearn/utils/tests
copying sklearn/utils/tests/test_graph.py -> build/lib.linux-armv7l-3.6/sklearn/utils/tests
copying sklearn/utils/tests/test_linear_assignment.py -> build/lib.linux-armv7l-3.6/sklearn/utils/tests
copying sklearn/utils/tests/test_metaestimators.py -> build/lib.linux-armv7l-3.6/sklearn/utils/tests
copying sklearn/utils/tests/test_multiclass.py -> build/lib.linux-armv7l-3.6/sklearn/utils/tests
copying sklearn/utils/tests/test_murmurhash.py -> build/lib.linux-armv7l-3.6/sklearn/utils/tests
copying sklearn/utils/tests/test_optimize.py -> build/lib.linux-armv7l-3.6/sklearn/utils/tests
copying sklearn/utils/tests/test_random.py -> build/lib.linux-armv7l-3.6/sklearn/utils/tests
copying sklearn/utils/tests/test_seq_dataset.py -> build/lib.linux-armv7l-3.6/sklearn/utils/tests
copying sklearn/utils/tests/test_shortest_path.py -> build/lib.linux-armv7l-3.6/sklearn/utils/tests
copying sklearn/utils/tests/test_sparsefuncs.py -> build/lib.linux-armv7l-3.6/sklearn/utils/tests
copying sklearn/utils/tests/test_stats.py -> build/lib.linux-armv7l-3.6/sklearn/utils/tests
copying sklearn/utils/tests/test_testing.py -> build/lib.linux-armv7l-3.6/sklearn/utils/tests
copying sklearn/utils/tests/test_utils.py -> build/lib.linux-armv7l-3.6/sklearn/utils/tests
copying sklearn/utils/tests/test_validation.py -> build/lib.linux-armv7l-3.6/sklearn/utils/tests
creating build/lib.linux-armv7l-3.6/sklearn/tests
copying sklearn/tests/__init__.py -> build/lib.linux-armv7l-3.6/sklearn/tests
copying sklearn/tests/test_base.py -> build/lib.linux-armv7l-3.6/sklearn/tests
copying sklearn/tests/test_calibration.py -> build/lib.linux-armv7l-3.6/sklearn/tests
copying sklearn/tests/test_check_build.py -> build/lib.linux-armv7l-3.6/sklearn/tests
copying sklearn/tests/test_common.py -> build/lib.linux-armv7l-3.6/sklearn/tests
copying sklearn/tests/test_config.py -> build/lib.linux-armv7l-3.6/sklearn/tests
copying sklearn/tests/test_cross_validation.py -> build/lib.linux-armv7l-3.6/sklearn/tests
copying sklearn/tests/test_discriminant_analysis.py -> build/lib.linux-armv7l-3.6/sklearn/tests
copying sklearn/tests/test_docstring_parameters.py -> build/lib.linux-armv7l-3.6/sklearn/tests
copying sklearn/tests/test_dummy.py -> build/lib.linux-armv7l-3.6/sklearn/tests
copying sklearn/tests/test_grid_search.py -> build/lib.linux-armv7l-3.6/sklearn/tests
copying sklearn/tests/test_init.py -> build/lib.linux-armv7l-3.6/sklearn/tests
copying sklearn/tests/test_isotonic.py -> build/lib.linux-armv7l-3.6/sklearn/tests
copying sklearn/tests/test_kernel_approximation.py -> build/lib.linux-armv7l-3.6/sklearn/tests
copying sklearn/tests/test_kernel_ridge.py -> build/lib.linux-armv7l-3.6/sklearn/tests
copying sklearn/tests/test_learning_curve.py -> build/lib.linux-armv7l-3.6/sklearn/tests
copying sklearn/tests/test_metaestimators.py -> build/lib.linux-armv7l-3.6/sklearn/tests
copying sklearn/tests/test_multiclass.py -> build/lib.linux-armv7l-3.6/sklearn/tests
copying sklearn/tests/test_multioutput.py -> build/lib.linux-armv7l-3.6/sklearn/tests
copying sklearn/tests/test_naive_bayes.py -> build/lib.linux-armv7l-3.6/sklearn/tests
copying sklearn/tests/test_pipeline.py -> build/lib.linux-armv7l-3.6/sklearn/tests
copying sklearn/tests/test_random_projection.py -> build/lib.linux-armv7l-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-armv7l-3.6
creating build/temp.linux-armv7l-3.6/sklearn
creating build/temp.linux-armv7l-3.6/sklearn/svm
creating build/temp.linux-armv7l-3.6/sklearn/svm/src
creating build/temp.linux-armv7l-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-ar: adding 1 object files to build/temp.linux-armv7l-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-armv7l-3.6/sklearn/src
creating build/temp.linux-armv7l-3.6/sklearn/src/cblas
compile options: '-I/usr/lib/python3/dist-packages/numpy/core/include -c'
arm-linux-gnueabihf-gcc: sklearn/src/cblas/ATL_drefasum.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_drefgemvN.c
arm-linux-gnueabihf-gcc: sklearn/src/cblas/ATL_drefgemvT.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/ATL_drefrotg.c
arm-linux-gnueabihf-gcc: sklearn/src/cblas/ATL_dsrefdot.c
arm-linux-gnueabihf-gcc: sklearn/src/cblas/ATL_srefasum.c
arm-linux-gnueabihf-gcc: sklearn/src/cblas/ATL_srefcopy.c
arm-linux-gnueabihf-gcc: sklearn/src/cblas/ATL_srefgemv.c
arm-linux-gnueabihf-gcc: sklearn/src/cblas/ATL_srefgemvN.c
arm-linux-gnueabihf-gcc: sklearn/src/cblas/ATL_srefgemvT.c
arm-linux-gnueabihf-gcc: sklearn/src/cblas/ATL_srefger.c
arm-linux-gnueabihf-gcc: sklearn/src/cblas/ATL_srefnrm2.c
arm-linux-gnueabihf-gcc: sklearn/src/cblas/ATL_srefrot.c
arm-linux-gnueabihf-gcc: sklearn/src/cblas/ATL_srefrotg.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_daxpy.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_ddot.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_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/cblas_dnrm2.c
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_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/cblas_dscal.c
arm-linux-gnueabihf-gcc: sklearn/src/cblas/cblas_errprn.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/cblas_saxpy.c
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_sdot.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/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_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_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_sscal.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-ar: adding 40 object files to build/temp.linux-armv7l-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 -Wstrict-prototypes -g -O2 -fdebug-prefix-map=/<<PKGBUILDDIR>>=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC
creating build/temp.linux-armv7l-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 -specs=/usr/share/dpkg/no-pie-link.specs -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-armv7l-3.6/sklearn/__check_build/_check_build.o -Lbuild/temp.linux-armv7l-3.6 -o build/lib.linux-armv7l-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-armv7l-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:1809:0,
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:524:
/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 -specs=/usr/share/dpkg/no-pie-link.specs -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-armv7l-3.6/sklearn/cluster/_dbscan_inner.o -Lbuild/temp.linux-armv7l-3.6 -o build/lib.linux-armv7l-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:1809:0,
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:522:
/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:529:
/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:529:
/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 -specs=/usr/share/dpkg/no-pie-link.specs -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-armv7l-3.6/sklearn/cluster/_hierarchical.o -Lbuild/temp.linux-armv7l-3.6 -lm -o build/lib.linux-armv7l-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 -Wstrict-prototypes -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:1809:0,
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:507:
/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 -specs=/usr/share/dpkg/no-pie-link.specs -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-armv7l-3.6/sklearn/cluster/_k_means_elkan.o -Lbuild/temp.linux-armv7l-3.6 -lm -o build/lib.linux-armv7l-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 -Wstrict-prototypes -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:1809:0,
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:511:
/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:3858:15: 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:4606:15: 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:6155:15: 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:6960:15: 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 -specs=/usr/share/dpkg/no-pie-link.specs -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-armv7l-3.6/sklearn/cluster/_k_means.o -Lbuild/temp.linux-armv7l-3.6 -lcblas -lm -o build/lib.linux-armv7l-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 -Wstrict-prototypes -g -O2 -fdebug-prefix-map=/<<PKGBUILDDIR>>=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC
creating build/temp.linux-armv7l-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:1809:0,
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:505:
/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 -specs=/usr/share/dpkg/no-pie-link.specs -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-armv7l-3.6/sklearn/datasets/_svmlight_format.o -Lbuild/temp.linux-armv7l-3.6 -o build/lib.linux-armv7l-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 -Wstrict-prototypes -g -O2 -fdebug-prefix-map=/<<PKGBUILDDIR>>=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC
creating build/temp.linux-armv7l-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:1809:0,
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:508:
/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 -specs=/usr/share/dpkg/no-pie-link.specs -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-armv7l-3.6/sklearn/decomposition/_online_lda.o -Lbuild/temp.linux-armv7l-3.6 -lm -o build/lib.linux-armv7l-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 -Wstrict-prototypes -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 -specs=/usr/share/dpkg/no-pie-link.specs -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-armv7l-3.6/sklearn/decomposition/cdnmf_fast.o -Lbuild/temp.linux-armv7l-3.6 -lm -o build/lib.linux-armv7l-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 -Wstrict-prototypes -g -O2 -fdebug-prefix-map=/<<PKGBUILDDIR>>=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC
creating build/temp.linux-armv7l-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:1809:0,
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:504:
/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 -specs=/usr/share/dpkg/no-pie-link.specs -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-armv7l-3.6/sklearn/ensemble/_gradient_boosting.o -Lbuild/temp.linux-armv7l-3.6 -o build/lib.linux-armv7l-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 -Wstrict-prototypes -g -O2 -fdebug-prefix-map=/<<PKGBUILDDIR>>=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC
creating build/temp.linux-armv7l-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:1809:0,
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:508:
/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 -specs=/usr/share/dpkg/no-pie-link.specs -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-armv7l-3.6/sklearn/feature_extraction/_hashing.o -Lbuild/temp.linux-armv7l-3.6 -lm -o build/lib.linux-armv7l-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 -Wstrict-prototypes -g -O2 -fdebug-prefix-map=/<<PKGBUILDDIR>>=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC
creating build/temp.linux-armv7l-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:1809:0,
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:512:
/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 -specs=/usr/share/dpkg/no-pie-link.specs -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-armv7l-3.6/sklearn/manifold/_utils.o -Lbuild/temp.linux-armv7l-3.6 -lm -o build/lib.linux-armv7l-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 -Wstrict-prototypes -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:1809:0,
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:512:
/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:3230:9: warning: variable '__pyx_v_force' set but not used [-Wunused-but-set-variable]
float __pyx_v_force[3];
^~~~~~~~~~~~~
sklearn/manifold/_barnes_hut_tsne.c:3229:9: 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:4055:48: warning: format '%li' expects argument of type 'long int', but argument 2 has type 'Py_ssize_t {aka int}' [-Wformat=]
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 -specs=/usr/share/dpkg/no-pie-link.specs -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-armv7l-3.6/sklearn/manifold/_barnes_hut_tsne.o -Lbuild/temp.linux-armv7l-3.6 -lcblas -o build/lib.linux-armv7l-3.6/sklearn/manifold/_barnes_hut_tsne.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 -Wstrict-prototypes -g -O2 -fdebug-prefix-map=/<<PKGBUILDDIR>>=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC
creating build/temp.linux-armv7l-3.6/sklearn/metrics
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:1809:0,
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:510:
/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 -specs=/usr/share/dpkg/no-pie-link.specs -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-armv7l-3.6/sklearn/metrics/pairwise_fast.o -Lbuild/temp.linux-armv7l-3.6 -lcblas -lm -o build/lib.linux-armv7l-3.6/sklearn/metrics/pairwise_fast.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 -Wstrict-prototypes -g -O2 -fdebug-prefix-map=/<<PKGBUILDDIR>>=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC
creating build/temp.linux-armv7l-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:1809:0,
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:508:
/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 -specs=/usr/share/dpkg/no-pie-link.specs -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-armv7l-3.6/sklearn/metrics/cluster/expected_mutual_info_fast.o -Lbuild/temp.linux-armv7l-3.6 -lm -o build/lib.linux-armv7l-3.6/sklearn/metrics/cluster/expected_mutual_info_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 -Wstrict-prototypes -g -O2 -fdebug-prefix-map=/<<PKGBUILDDIR>>=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC
creating build/temp.linux-armv7l-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:1809:0,
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:507:
/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 -specs=/usr/share/dpkg/no-pie-link.specs -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-armv7l-3.6/sklearn/neighbors/ball_tree.o -Lbuild/temp.linux-armv7l-3.6 -lm -o build/lib.linux-armv7l-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 -Wstrict-prototypes -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:1809:0,
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:507:
/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:22180:49: 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 -specs=/usr/share/dpkg/no-pie-link.specs -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-armv7l-3.6/sklearn/neighbors/kd_tree.o -Lbuild/temp.linux-armv7l-3.6 -lm -o build/lib.linux-armv7l-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 -Wstrict-prototypes -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:1809:0,
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:508:
/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:6879:85: 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 == -1.0)) __PYX_ERR(1, 464, __pyx_L1_error)
^
sklearn/neighbors/dist_metrics.c:6684:54: 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:7694:84: 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 == -1.0)) __PYX_ERR(1, 553, __pyx_L1_error)
^
sklearn/neighbors/dist_metrics.c:7615:54: 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:8400:85: 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 == -1.0)) __PYX_ERR(1, 612, __pyx_L1_error)
^
sklearn/neighbors/dist_metrics.c:8215:54: 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:9266:86: 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 == -1.0)) __PYX_ERR(1, 685, __pyx_L1_error)
^
sklearn/neighbors/dist_metrics.c:9026:54: 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 -specs=/usr/share/dpkg/no-pie-link.specs -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-armv7l-3.6/sklearn/neighbors/dist_metrics.o -Lbuild/temp.linux-armv7l-3.6 -lm -o build/lib.linux-armv7l-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 -Wstrict-prototypes -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:1809:0,
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:507:
/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 -specs=/usr/share/dpkg/no-pie-link.specs -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-armv7l-3.6/sklearn/neighbors/typedefs.o -Lbuild/temp.linux-armv7l-3.6 -lm -o build/lib.linux-armv7l-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 -Wstrict-prototypes -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:1809:0,
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:507:
/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:2722:1: warning: function declaration isn't a prototype [-Wstrict-prototypes]
static PyObject *__pyx_pf_7sklearn_9neighbors_9quad_tree_9_QuadTree_16test_summarize(); /* proto */
^~~~~~
sklearn/neighbors/quad_tree.c: In function '__pyx_f_7sklearn_9neighbors_9quad_tree_9_QuadTree_insert_point':
sklearn/neighbors/quad_tree.c:3603:57: 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=]
printf(((char const *)"[QuadTree] Inserting depth %li\n"), __pyx_v_cell->depth);
~~^ ~~~~~~~~~~~~~~~~~~~
%i
sklearn/neighbors/quad_tree.c:3716:58: 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=]
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:3716:70: 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=]
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:3812:58: 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=]
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:4391:56: 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=]
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:4391:73: 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=]
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:4878:81: 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=]
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:4878:114: 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=]
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:4906:77: 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=]
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:4906:103: 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=]
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:6125:68: 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=]
printf(((char const *)"[QuadTree] Found point in cell: %li\n"), __pyx_v_cell->cell_id);
~~^ ~~~~~~~~~~~~~~~~~~~~~
%i
sklearn/neighbors/quad_tree.c:6244:61: 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=]
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:7009:36: 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:7009:36: note: expected 'PyTypeObject * {aka struct _typeobject *}' but argument is of type 'PyObject * {aka struct _object *}'
sklearn/neighbors/quad_tree.c: At top level:
sklearn/neighbors/quad_tree.c:7434:18: warning: function declaration isn't a prototype [-Wstrict-prototypes]
static PyObject *__pyx_pf_7sklearn_9neighbors_9quad_tree_9_QuadTree_16test_summarize() {
^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
arm-linux-gnueabihf-gcc -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -specs=/usr/share/dpkg/no-pie-link.specs -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-armv7l-3.6/sklearn/neighbors/quad_tree.o -Lbuild/temp.linux-armv7l-3.6 -lm -o build/lib.linux-armv7l-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 -Wstrict-prototypes -g -O2 -fdebug-prefix-map=/<<PKGBUILDDIR>>=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC
creating build/temp.linux-armv7l-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:1809:0,
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:510:
/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:14839:36: 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:14839:36: 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 -specs=/usr/share/dpkg/no-pie-link.specs -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-armv7l-3.6/sklearn/tree/_tree.o -Lbuild/temp.linux-armv7l-3.6 -lm -o build/lib.linux-armv7l-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 -Wstrict-prototypes -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:1809:0,
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:510:
/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 -specs=/usr/share/dpkg/no-pie-link.specs -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-armv7l-3.6/sklearn/tree/_splitter.o -Lbuild/temp.linux-armv7l-3.6 -lm -o build/lib.linux-armv7l-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 -Wstrict-prototypes -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:1809:0,
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:510:
/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 -specs=/usr/share/dpkg/no-pie-link.specs -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-armv7l-3.6/sklearn/tree/_criterion.o -Lbuild/temp.linux-armv7l-3.6 -lm -o build/lib.linux-armv7l-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 -Wstrict-prototypes -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:1809:0,
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:510:
/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:9131:4: warning: '__pyx_v_original_median' may be used uninitialized in this function [-Wmaybe-uninitialized]
((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:9243:4: warning: '__pyx_v_original_median' may be used uninitialized in this function [-Wmaybe-uninitialized]
((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:8775:4: warning: '__pyx_v_original_median' may be used uninitialized in this function [-Wmaybe-uninitialized]
((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 -specs=/usr/share/dpkg/no-pie-link.specs -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-armv7l-3.6/sklearn/tree/_utils.o -Lbuild/temp.linux-armv7l-3.6 -lm -o build/lib.linux-armv7l-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 -Wstrict-prototypes -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:1809:0,
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:512:
/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 -specs=/usr/share/dpkg/no-pie-link.specs -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-armv7l-3.6/sklearn/svm/libsvm.o -Lbuild/temp.linux-armv7l-3.6 -llibsvm-skl -o build/lib.linux-armv7l-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 -Wstrict-prototypes -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:1809:0,
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:516:
/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:519:0:
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-armv7l-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 -specs=/usr/share/dpkg/no-pie-link.specs -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-armv7l-3.6/sklearn/svm/liblinear.o build/temp.linux-armv7l-3.6/sklearn/svm/src/liblinear/linear.o build/temp.linux-armv7l-3.6/sklearn/svm/src/liblinear/tron.o -Lbuild/temp.linux-armv7l-3.6 -lcblas -lm -o build/lib.linux-armv7l-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 -Wstrict-prototypes -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:1809:0,
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:510:
/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 -specs=/usr/share/dpkg/no-pie-link.specs -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-armv7l-3.6/sklearn/svm/libsvm_sparse.o -Lbuild/temp.linux-armv7l-3.6 -llibsvm-skl -o build/lib.linux-armv7l-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 -Wstrict-prototypes -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:1809:0,
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:507:
/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 -specs=/usr/share/dpkg/no-pie-link.specs -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-armv7l-3.6/sklearn/_isotonic.o -Lbuild/temp.linux-armv7l-3.6 -lm -o build/lib.linux-armv7l-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 -Wstrict-prototypes -g -O2 -fdebug-prefix-map=/<<PKGBUILDDIR>>=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC
creating build/temp.linux-armv7l-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:1809:0,
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:511:
/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:4983:15: warning: assignment from incompatible pointer type [-Wincompatible-pointer-types]
__pyx_v_dot = cblas_sdot;
^
sklearn/linear_model/cd_fast.c:4992:16: warning: assignment from incompatible pointer type [-Wincompatible-pointer-types]
__pyx_v_axpy = cblas_saxpy;
^
sklearn/linear_model/cd_fast.c:5001:16: 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:6429:15: warning: assignment from incompatible pointer type [-Wincompatible-pointer-types]
__pyx_v_dot = cblas_ddot;
^
sklearn/linear_model/cd_fast.c:6438:16: warning: assignment from incompatible pointer type [-Wincompatible-pointer-types]
__pyx_v_axpy = cblas_daxpy;
^
sklearn/linear_model/cd_fast.c:6447:16: 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:8746:15: warning: assignment from incompatible pointer type [-Wincompatible-pointer-types]
__pyx_v_dot = cblas_sdot;
^
sklearn/linear_model/cd_fast.c:8755:16: 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:10725:15: warning: assignment from incompatible pointer type [-Wincompatible-pointer-types]
__pyx_v_dot = cblas_ddot;
^
sklearn/linear_model/cd_fast.c:10734:16: 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:13285:15: warning: assignment from incompatible pointer type [-Wincompatible-pointer-types]
__pyx_v_dot = cblas_sdot;
^
sklearn/linear_model/cd_fast.c:13294:16: warning: assignment from incompatible pointer type [-Wincompatible-pointer-types]
__pyx_v_axpy = cblas_saxpy;
^
sklearn/linear_model/cd_fast.c:13303:16: 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:14813:15: warning: assignment from incompatible pointer type [-Wincompatible-pointer-types]
__pyx_v_dot = cblas_ddot;
^
sklearn/linear_model/cd_fast.c:14822:16: warning: assignment from incompatible pointer type [-Wincompatible-pointer-types]
__pyx_v_axpy = cblas_daxpy;
^
sklearn/linear_model/cd_fast.c:14831:16: 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:17042:15: warning: assignment from incompatible pointer type [-Wincompatible-pointer-types]
__pyx_v_dot = cblas_sdot;
^
sklearn/linear_model/cd_fast.c:17051:16: warning: assignment from incompatible pointer type [-Wincompatible-pointer-types]
__pyx_v_nrm2 = cblas_snrm2;
^
sklearn/linear_model/cd_fast.c:17060:16: warning: assignment from incompatible pointer type [-Wincompatible-pointer-types]
__pyx_v_asum = cblas_sasum;
^
sklearn/linear_model/cd_fast.c:17069:16: warning: assignment from incompatible pointer type [-Wincompatible-pointer-types]
__pyx_v_copy = cblas_scopy;
^
sklearn/linear_model/cd_fast.c:17087:15: warning: assignment from incompatible pointer type [-Wincompatible-pointer-types]
__pyx_v_ger = cblas_sger;
^
sklearn/linear_model/cd_fast.c:17096:16: 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:18769:15: warning: assignment from incompatible pointer type [-Wincompatible-pointer-types]
__pyx_v_dot = cblas_ddot;
^
sklearn/linear_model/cd_fast.c:18778:16: warning: assignment from incompatible pointer type [-Wincompatible-pointer-types]
__pyx_v_nrm2 = cblas_dnrm2;
^
sklearn/linear_model/cd_fast.c:18787:16: warning: assignment from incompatible pointer type [-Wincompatible-pointer-types]
__pyx_v_asum = cblas_dasum;
^
sklearn/linear_model/cd_fast.c:18796:16: warning: assignment from incompatible pointer type [-Wincompatible-pointer-types]
__pyx_v_copy = cblas_dcopy;
^
sklearn/linear_model/cd_fast.c:18814:15: warning: assignment from incompatible pointer type [-Wincompatible-pointer-types]
__pyx_v_ger = cblas_dger;
^
sklearn/linear_model/cd_fast.c:18823:16: 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 -specs=/usr/share/dpkg/no-pie-link.specs -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-armv7l-3.6/sklearn/linear_model/cd_fast.o -Lbuild/temp.linux-armv7l-3.6 -lcblas -lm -o build/lib.linux-armv7l-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 -Wstrict-prototypes -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:1809:0,
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:513:
/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 -specs=/usr/share/dpkg/no-pie-link.specs -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-armv7l-3.6/sklearn/linear_model/sgd_fast.o -Lbuild/temp.linux-armv7l-3.6 -lcblas -lm -o build/lib.linux-armv7l-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 -Wstrict-prototypes -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:1809:0,
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:506:
/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 -specs=/usr/share/dpkg/no-pie-link.specs -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-armv7l-3.6/sklearn/linear_model/sag_fast.o -Lbuild/temp.linux-armv7l-3.6 -o build/lib.linux-armv7l-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 -Wstrict-prototypes -g -O2 -fdebug-prefix-map=/<<PKGBUILDDIR>>=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC
creating build/temp.linux-armv7l-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:1809:0,
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:502:
/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 -specs=/usr/share/dpkg/no-pie-link.specs -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-armv7l-3.6/sklearn/utils/sparsefuncs_fast.o -Lbuild/temp.linux-armv7l-3.6 -lm -o build/lib.linux-armv7l-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 -Wstrict-prototypes -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:1809:0,
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:511:
/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 -specs=/usr/share/dpkg/no-pie-link.specs -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-armv7l-3.6/sklearn/utils/arrayfuncs.o -Lbuild/temp.linux-armv7l-3.6 -lcblas -lm -o build/lib.linux-armv7l-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 -Wstrict-prototypes -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:1809:0,
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:505:
/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-armv7l-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 -specs=/usr/share/dpkg/no-pie-link.specs -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-armv7l-3.6/sklearn/utils/murmurhash.o build/temp.linux-armv7l-3.6/sklearn/utils/src/MurmurHash3.o -Lbuild/temp.linux-armv7l-3.6 -o build/lib.linux-armv7l-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 -Wstrict-prototypes -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 -specs=/usr/share/dpkg/no-pie-link.specs -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-armv7l-3.6/sklearn/utils/lgamma.o build/temp.linux-armv7l-3.6/sklearn/utils/src/gamma.o -Lbuild/temp.linux-armv7l-3.6 -lm -o build/lib.linux-armv7l-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 -Wstrict-prototypes -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:1809:0,
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:504:
/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 -specs=/usr/share/dpkg/no-pie-link.specs -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-armv7l-3.6/sklearn/utils/graph_shortest_path.o -Lbuild/temp.linux-armv7l-3.6 -o build/lib.linux-armv7l-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:1809:0,
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:528:
/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:25115:47: warning: '__pyx_v_min_key' may be used uninitialized in this function [-Wmaybe-uninitialized]
return PyInt_FromLong((long) value);
^
sklearn/utils/fast_dict.cpp:4336:46: 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:524:
/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:524:
/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 -specs=/usr/share/dpkg/no-pie-link.specs -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-armv7l-3.6/sklearn/utils/fast_dict.o -Lbuild/temp.linux-armv7l-3.6 -lm -o build/lib.linux-armv7l-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 -Wstrict-prototypes -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:1809:0,
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:504:
/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 -specs=/usr/share/dpkg/no-pie-link.specs -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-armv7l-3.6/sklearn/utils/seq_dataset.o -Lbuild/temp.linux-armv7l-3.6 -o build/lib.linux-armv7l-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 -Wstrict-prototypes -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:1809:0,
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:510:
/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 -specs=/usr/share/dpkg/no-pie-link.specs -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-armv7l-3.6/sklearn/utils/weight_vector.o -Lbuild/temp.linux-armv7l-3.6 -lcblas -lm -o build/lib.linux-armv7l-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 -Wstrict-prototypes -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:1809:0,
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:507:
/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 -specs=/usr/share/dpkg/no-pie-link.specs -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-armv7l-3.6/sklearn/utils/_random.o -Lbuild/temp.linux-armv7l-3.6 -lm -o build/lib.linux-armv7l-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 -Wstrict-prototypes -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:1809:0,
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:508:
/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 -specs=/usr/share/dpkg/no-pie-link.specs -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-armv7l-3.6/sklearn/utils/_logistic_sigmoid.o -Lbuild/temp.linux-armv7l-3.6 -lm -o build/lib.linux-armv7l-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
copying build/lib.linux-armv7l-3.6/sklearn/__init__.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn
copying build/lib.linux-armv7l-3.6/sklearn/base.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn
copying build/lib.linux-armv7l-3.6/sklearn/calibration.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn
copying build/lib.linux-armv7l-3.6/sklearn/cross_validation.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn
copying build/lib.linux-armv7l-3.6/sklearn/discriminant_analysis.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn
copying build/lib.linux-armv7l-3.6/sklearn/dummy.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn
copying build/lib.linux-armv7l-3.6/sklearn/exceptions.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn
copying build/lib.linux-armv7l-3.6/sklearn/grid_search.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn
copying build/lib.linux-armv7l-3.6/sklearn/isotonic.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn
copying build/lib.linux-armv7l-3.6/sklearn/kernel_approximation.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn
copying build/lib.linux-armv7l-3.6/sklearn/kernel_ridge.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn
copying build/lib.linux-armv7l-3.6/sklearn/learning_curve.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn
copying build/lib.linux-armv7l-3.6/sklearn/multiclass.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn
copying build/lib.linux-armv7l-3.6/sklearn/multioutput.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn
copying build/lib.linux-armv7l-3.6/sklearn/naive_bayes.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn
copying build/lib.linux-armv7l-3.6/sklearn/pipeline.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn
copying build/lib.linux-armv7l-3.6/sklearn/random_projection.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn
copying build/lib.linux-armv7l-3.6/sklearn/setup.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn
creating /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/__check_build
copying build/lib.linux-armv7l-3.6/sklearn/__check_build/__init__.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/__check_build
copying build/lib.linux-armv7l-3.6/sklearn/__check_build/setup.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/__check_build
copying build/lib.linux-armv7l-3.6/sklearn/__check_build/_check_build.cpython-36m-arm-linux-gnueabihf.so -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/__check_build
creating /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/_build_utils
copying build/lib.linux-armv7l-3.6/sklearn/_build_utils/__init__.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/_build_utils
creating /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/covariance
copying build/lib.linux-armv7l-3.6/sklearn/covariance/__init__.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/covariance
copying build/lib.linux-armv7l-3.6/sklearn/covariance/empirical_covariance_.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/covariance
copying build/lib.linux-armv7l-3.6/sklearn/covariance/graph_lasso_.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/covariance
copying build/lib.linux-armv7l-3.6/sklearn/covariance/outlier_detection.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/covariance
copying build/lib.linux-armv7l-3.6/sklearn/covariance/robust_covariance.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/covariance
copying build/lib.linux-armv7l-3.6/sklearn/covariance/shrunk_covariance_.py -> /<<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-armv7l-3.6/sklearn/covariance/tests/__init__.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/covariance/tests
copying build/lib.linux-armv7l-3.6/sklearn/covariance/tests/test_covariance.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/covariance/tests
copying build/lib.linux-armv7l-3.6/sklearn/covariance/tests/test_graph_lasso.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/covariance/tests
copying build/lib.linux-armv7l-3.6/sklearn/covariance/tests/test_robust_covariance.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/covariance/tests
creating /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cross_decomposition
copying build/lib.linux-armv7l-3.6/sklearn/cross_decomposition/__init__.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cross_decomposition
copying build/lib.linux-armv7l-3.6/sklearn/cross_decomposition/cca_.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cross_decomposition
copying build/lib.linux-armv7l-3.6/sklearn/cross_decomposition/pls_.py -> /<<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-armv7l-3.6/sklearn/cross_decomposition/tests/__init__.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cross_decomposition/tests
copying build/lib.linux-armv7l-3.6/sklearn/cross_decomposition/tests/test_pls.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cross_decomposition/tests
creating /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/feature_selection
copying build/lib.linux-armv7l-3.6/sklearn/feature_selection/__init__.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/feature_selection
copying build/lib.linux-armv7l-3.6/sklearn/feature_selection/base.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/feature_selection
copying build/lib.linux-armv7l-3.6/sklearn/feature_selection/from_model.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/feature_selection
copying build/lib.linux-armv7l-3.6/sklearn/feature_selection/mutual_info_.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/feature_selection
copying build/lib.linux-armv7l-3.6/sklearn/feature_selection/rfe.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/feature_selection
copying build/lib.linux-armv7l-3.6/sklearn/feature_selection/univariate_selection.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/feature_selection
copying build/lib.linux-armv7l-3.6/sklearn/feature_selection/variance_threshold.py -> /<<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-armv7l-3.6/sklearn/feature_selection/tests/__init__.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/feature_selection/tests
copying build/lib.linux-armv7l-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-armv7l-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-armv7l-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-armv7l-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-armv7l-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-armv7l-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-armv7l-3.6/sklearn/feature_selection/tests/test_variance_threshold.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/feature_selection/tests
creating /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/gaussian_process
copying build/lib.linux-armv7l-3.6/sklearn/gaussian_process/__init__.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/gaussian_process
copying build/lib.linux-armv7l-3.6/sklearn/gaussian_process/correlation_models.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/gaussian_process
copying build/lib.linux-armv7l-3.6/sklearn/gaussian_process/gaussian_process.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/gaussian_process
copying build/lib.linux-armv7l-3.6/sklearn/gaussian_process/gpc.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/gaussian_process
copying build/lib.linux-armv7l-3.6/sklearn/gaussian_process/gpr.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/gaussian_process
copying build/lib.linux-armv7l-3.6/sklearn/gaussian_process/kernels.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/gaussian_process
copying build/lib.linux-armv7l-3.6/sklearn/gaussian_process/regression_models.py -> /<<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-armv7l-3.6/sklearn/gaussian_process/tests/__init__.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/gaussian_process/tests
copying build/lib.linux-armv7l-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-armv7l-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-armv7l-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-armv7l-3.6/sklearn/gaussian_process/tests/test_kernels.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/gaussian_process/tests
creating /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/mixture
copying build/lib.linux-armv7l-3.6/sklearn/mixture/__init__.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/mixture
copying build/lib.linux-armv7l-3.6/sklearn/mixture/base.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/mixture
copying build/lib.linux-armv7l-3.6/sklearn/mixture/bayesian_mixture.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/mixture
copying build/lib.linux-armv7l-3.6/sklearn/mixture/dpgmm.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/mixture
copying build/lib.linux-armv7l-3.6/sklearn/mixture/gaussian_mixture.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/mixture
copying build/lib.linux-armv7l-3.6/sklearn/mixture/gmm.py -> /<<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-armv7l-3.6/sklearn/mixture/tests/__init__.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/mixture/tests
copying build/lib.linux-armv7l-3.6/sklearn/mixture/tests/test_bayesian_mixture.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/mixture/tests
copying build/lib.linux-armv7l-3.6/sklearn/mixture/tests/test_dpgmm.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/mixture/tests
copying build/lib.linux-armv7l-3.6/sklearn/mixture/tests/test_gaussian_mixture.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/mixture/tests
copying build/lib.linux-armv7l-3.6/sklearn/mixture/tests/test_gmm.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/mixture/tests
creating /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/model_selection
copying build/lib.linux-armv7l-3.6/sklearn/model_selection/__init__.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/model_selection
copying build/lib.linux-armv7l-3.6/sklearn/model_selection/_search.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/model_selection
copying build/lib.linux-armv7l-3.6/sklearn/model_selection/_split.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/model_selection
copying build/lib.linux-armv7l-3.6/sklearn/model_selection/_validation.py -> /<<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-armv7l-3.6/sklearn/model_selection/tests/__init__.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/model_selection/tests
copying build/lib.linux-armv7l-3.6/sklearn/model_selection/tests/common.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/model_selection/tests
copying build/lib.linux-armv7l-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-armv7l-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-armv7l-3.6/sklearn/model_selection/tests/test_search.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/model_selection/tests
creating /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/neural_network
copying build/lib.linux-armv7l-3.6/sklearn/neural_network/__init__.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/neural_network
copying build/lib.linux-armv7l-3.6/sklearn/neural_network/_base.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/neural_network
copying build/lib.linux-armv7l-3.6/sklearn/neural_network/_stochastic_optimizers.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/neural_network
copying build/lib.linux-armv7l-3.6/sklearn/neural_network/multilayer_perceptron.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/neural_network
copying build/lib.linux-armv7l-3.6/sklearn/neural_network/rbm.py -> /<<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-armv7l-3.6/sklearn/neural_network/tests/__init__.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/neural_network/tests
copying build/lib.linux-armv7l-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-armv7l-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-armv7l-3.6/sklearn/neural_network/tests/test_stochastic_optimizers.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/neural_network/tests
creating /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/preprocessing
copying build/lib.linux-armv7l-3.6/sklearn/preprocessing/__init__.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/preprocessing
copying build/lib.linux-armv7l-3.6/sklearn/preprocessing/_function_transformer.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/preprocessing
copying build/lib.linux-armv7l-3.6/sklearn/preprocessing/data.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/preprocessing
copying build/lib.linux-armv7l-3.6/sklearn/preprocessing/imputation.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/preprocessing
copying build/lib.linux-armv7l-3.6/sklearn/preprocessing/label.py -> /<<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-armv7l-3.6/sklearn/preprocessing/tests/__init__.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/preprocessing/tests
copying build/lib.linux-armv7l-3.6/sklearn/preprocessing/tests/test_data.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/preprocessing/tests
copying build/lib.linux-armv7l-3.6/sklearn/preprocessing/tests/test_function_transformer.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/preprocessing/tests
copying build/lib.linux-armv7l-3.6/sklearn/preprocessing/tests/test_imputation.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/preprocessing/tests
copying build/lib.linux-armv7l-3.6/sklearn/preprocessing/tests/test_label.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/preprocessing/tests
creating /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/semi_supervised
copying build/lib.linux-armv7l-3.6/sklearn/semi_supervised/__init__.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/semi_supervised
copying build/lib.linux-armv7l-3.6/sklearn/semi_supervised/label_propagation.py -> /<<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-armv7l-3.6/sklearn/semi_supervised/tests/__init__.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/semi_supervised/tests
copying build/lib.linux-armv7l-3.6/sklearn/semi_supervised/tests/test_label_propagation.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/semi_supervised/tests
creating /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster
copying build/lib.linux-armv7l-3.6/sklearn/cluster/__init__.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster
copying build/lib.linux-armv7l-3.6/sklearn/cluster/_feature_agglomeration.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster
copying build/lib.linux-armv7l-3.6/sklearn/cluster/affinity_propagation_.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster
copying build/lib.linux-armv7l-3.6/sklearn/cluster/bicluster.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster
copying build/lib.linux-armv7l-3.6/sklearn/cluster/birch.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster
copying build/lib.linux-armv7l-3.6/sklearn/cluster/dbscan_.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster
copying build/lib.linux-armv7l-3.6/sklearn/cluster/hierarchical.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster
copying build/lib.linux-armv7l-3.6/sklearn/cluster/k_means_.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster
copying build/lib.linux-armv7l-3.6/sklearn/cluster/mean_shift_.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster
copying build/lib.linux-armv7l-3.6/sklearn/cluster/setup.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster
copying build/lib.linux-armv7l-3.6/sklearn/cluster/spectral.py -> /<<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-armv7l-3.6/sklearn/cluster/tests/__init__.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/tests
copying build/lib.linux-armv7l-3.6/sklearn/cluster/tests/common.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/tests
copying build/lib.linux-armv7l-3.6/sklearn/cluster/tests/test_affinity_propagation.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/tests
copying build/lib.linux-armv7l-3.6/sklearn/cluster/tests/test_bicluster.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/tests
copying build/lib.linux-armv7l-3.6/sklearn/cluster/tests/test_birch.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/tests
copying build/lib.linux-armv7l-3.6/sklearn/cluster/tests/test_dbscan.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/tests
copying build/lib.linux-armv7l-3.6/sklearn/cluster/tests/test_hierarchical.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/tests
copying build/lib.linux-armv7l-3.6/sklearn/cluster/tests/test_k_means.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/tests
copying build/lib.linux-armv7l-3.6/sklearn/cluster/tests/test_mean_shift.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/tests
copying build/lib.linux-armv7l-3.6/sklearn/cluster/tests/test_spectral.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/tests
copying build/lib.linux-armv7l-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-armv7l-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-armv7l-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-armv7l-3.6/sklearn/cluster/_k_means.cpython-36m-arm-linux-gnueabihf.so -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster
creating /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/datasets
copying build/lib.linux-armv7l-3.6/sklearn/datasets/__init__.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/datasets
copying build/lib.linux-armv7l-3.6/sklearn/datasets/base.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/datasets
copying build/lib.linux-armv7l-3.6/sklearn/datasets/california_housing.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/datasets
copying build/lib.linux-armv7l-3.6/sklearn/datasets/covtype.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/datasets
copying build/lib.linux-armv7l-3.6/sklearn/datasets/kddcup99.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/datasets
copying build/lib.linux-armv7l-3.6/sklearn/datasets/mlcomp.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/datasets
copying build/lib.linux-armv7l-3.6/sklearn/datasets/mldata.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/datasets
copying build/lib.linux-armv7l-3.6/sklearn/datasets/olivetti_faces.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/datasets
copying build/lib.linux-armv7l-3.6/sklearn/datasets/rcv1.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/datasets
copying build/lib.linux-armv7l-3.6/sklearn/datasets/samples_generator.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/datasets
copying build/lib.linux-armv7l-3.6/sklearn/datasets/setup.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/datasets
copying build/lib.linux-armv7l-3.6/sklearn/datasets/species_distributions.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/datasets
copying build/lib.linux-armv7l-3.6/sklearn/datasets/svmlight_format.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/datasets
copying build/lib.linux-armv7l-3.6/sklearn/datasets/twenty_newsgroups.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/datasets
copying build/lib.linux-armv7l-3.6/sklearn/datasets/lfw.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-armv7l-3.6/sklearn/datasets/tests/__init__.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/datasets/tests
copying build/lib.linux-armv7l-3.6/sklearn/datasets/tests/test_20news.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/datasets/tests
copying build/lib.linux-armv7l-3.6/sklearn/datasets/tests/test_base.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/datasets/tests
copying build/lib.linux-armv7l-3.6/sklearn/datasets/tests/test_covtype.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/datasets/tests
copying build/lib.linux-armv7l-3.6/sklearn/datasets/tests/test_kddcup99.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/datasets/tests
copying build/lib.linux-armv7l-3.6/sklearn/datasets/tests/test_lfw.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/datasets/tests
copying build/lib.linux-armv7l-3.6/sklearn/datasets/tests/test_mldata.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/datasets/tests
copying build/lib.linux-armv7l-3.6/sklearn/datasets/tests/test_rcv1.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/datasets/tests
copying build/lib.linux-armv7l-3.6/sklearn/datasets/tests/test_samples_generator.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/datasets/tests
copying build/lib.linux-armv7l-3.6/sklearn/datasets/tests/test_svmlight_format.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/datasets/tests
copying build/lib.linux-armv7l-3.6/sklearn/datasets/_svmlight_format.cpython-36m-arm-linux-gnueabihf.so -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/datasets
creating /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/decomposition
copying build/lib.linux-armv7l-3.6/sklearn/decomposition/__init__.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/decomposition
copying build/lib.linux-armv7l-3.6/sklearn/decomposition/base.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/decomposition
copying build/lib.linux-armv7l-3.6/sklearn/decomposition/dict_learning.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/decomposition
copying build/lib.linux-armv7l-3.6/sklearn/decomposition/factor_analysis.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/decomposition
copying build/lib.linux-armv7l-3.6/sklearn/decomposition/fastica_.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/decomposition
copying build/lib.linux-armv7l-3.6/sklearn/decomposition/incremental_pca.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/decomposition
copying build/lib.linux-armv7l-3.6/sklearn/decomposition/kernel_pca.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/decomposition
copying build/lib.linux-armv7l-3.6/sklearn/decomposition/nmf.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/decomposition
copying build/lib.linux-armv7l-3.6/sklearn/decomposition/online_lda.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/decomposition
copying build/lib.linux-armv7l-3.6/sklearn/decomposition/pca.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/decomposition
copying build/lib.linux-armv7l-3.6/sklearn/decomposition/setup.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/decomposition
copying build/lib.linux-armv7l-3.6/sklearn/decomposition/sparse_pca.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/decomposition
copying build/lib.linux-armv7l-3.6/sklearn/decomposition/truncated_svd.py -> /<<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-armv7l-3.6/sklearn/decomposition/tests/__init__.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/decomposition/tests
copying build/lib.linux-armv7l-3.6/sklearn/decomposition/tests/test_dict_learning.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/decomposition/tests
copying build/lib.linux-armv7l-3.6/sklearn/decomposition/tests/test_factor_analysis.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/decomposition/tests
copying build/lib.linux-armv7l-3.6/sklearn/decomposition/tests/test_fastica.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/decomposition/tests
copying build/lib.linux-armv7l-3.6/sklearn/decomposition/tests/test_incremental_pca.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/decomposition/tests
copying build/lib.linux-armv7l-3.6/sklearn/decomposition/tests/test_kernel_pca.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/decomposition/tests
copying build/lib.linux-armv7l-3.6/sklearn/decomposition/tests/test_nmf.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/decomposition/tests
copying build/lib.linux-armv7l-3.6/sklearn/decomposition/tests/test_online_lda.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/decomposition/tests
copying build/lib.linux-armv7l-3.6/sklearn/decomposition/tests/test_pca.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/decomposition/tests
copying build/lib.linux-armv7l-3.6/sklearn/decomposition/tests/test_sparse_pca.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/decomposition/tests
copying build/lib.linux-armv7l-3.6/sklearn/decomposition/tests/test_truncated_svd.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/decomposition/tests
copying build/lib.linux-armv7l-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-armv7l-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/ensemble
copying build/lib.linux-armv7l-3.6/sklearn/ensemble/__init__.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/ensemble
copying build/lib.linux-armv7l-3.6/sklearn/ensemble/bagging.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/ensemble
copying build/lib.linux-armv7l-3.6/sklearn/ensemble/base.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/ensemble
copying build/lib.linux-armv7l-3.6/sklearn/ensemble/forest.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/ensemble
copying build/lib.linux-armv7l-3.6/sklearn/ensemble/gradient_boosting.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/ensemble
copying build/lib.linux-armv7l-3.6/sklearn/ensemble/iforest.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/ensemble
copying build/lib.linux-armv7l-3.6/sklearn/ensemble/partial_dependence.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/ensemble
copying build/lib.linux-armv7l-3.6/sklearn/ensemble/setup.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/ensemble
copying build/lib.linux-armv7l-3.6/sklearn/ensemble/voting_classifier.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/ensemble
copying build/lib.linux-armv7l-3.6/sklearn/ensemble/weight_boosting.py -> /<<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-armv7l-3.6/sklearn/ensemble/tests/__init__.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/ensemble/tests
copying build/lib.linux-armv7l-3.6/sklearn/ensemble/tests/test_bagging.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/ensemble/tests
copying build/lib.linux-armv7l-3.6/sklearn/ensemble/tests/test_base.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/ensemble/tests
copying build/lib.linux-armv7l-3.6/sklearn/ensemble/tests/test_forest.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/ensemble/tests
copying build/lib.linux-armv7l-3.6/sklearn/ensemble/tests/test_gradient_boosting.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/ensemble/tests
copying build/lib.linux-armv7l-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-armv7l-3.6/sklearn/ensemble/tests/test_iforest.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/ensemble/tests
copying build/lib.linux-armv7l-3.6/sklearn/ensemble/tests/test_partial_dependence.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/ensemble/tests
copying build/lib.linux-armv7l-3.6/sklearn/ensemble/tests/test_voting_classifier.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/ensemble/tests
copying build/lib.linux-armv7l-3.6/sklearn/ensemble/tests/test_weight_boosting.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/ensemble/tests
copying build/lib.linux-armv7l-3.6/sklearn/ensemble/_gradient_boosting.cpython-36m-arm-linux-gnueabihf.so -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/ensemble
creating /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/externals
copying build/lib.linux-armv7l-3.6/sklearn/externals/__init__.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/externals
copying build/lib.linux-armv7l-3.6/sklearn/externals/funcsigs.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/externals
copying build/lib.linux-armv7l-3.6/sklearn/externals/setup.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/externals
copying build/lib.linux-armv7l-3.6/sklearn/externals/six.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/externals
copying build/lib.linux-armv7l-3.6/sklearn/externals/test_externals_setup.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-armv7l-3.6/sklearn/externals/joblib/__init__.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/externals/joblib
creating /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/feature_extraction
copying build/lib.linux-armv7l-3.6/sklearn/feature_extraction/__init__.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/feature_extraction
copying build/lib.linux-armv7l-3.6/sklearn/feature_extraction/dict_vectorizer.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/feature_extraction
copying build/lib.linux-armv7l-3.6/sklearn/feature_extraction/hashing.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/feature_extraction
copying build/lib.linux-armv7l-3.6/sklearn/feature_extraction/image.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/feature_extraction
copying build/lib.linux-armv7l-3.6/sklearn/feature_extraction/setup.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/feature_extraction
copying build/lib.linux-armv7l-3.6/sklearn/feature_extraction/stop_words.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/feature_extraction
copying build/lib.linux-armv7l-3.6/sklearn/feature_extraction/text.py -> /<<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-armv7l-3.6/sklearn/feature_extraction/tests/__init__.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/feature_extraction/tests
copying build/lib.linux-armv7l-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-armv7l-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-armv7l-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-armv7l-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-armv7l-3.6/sklearn/feature_extraction/_hashing.cpython-36m-arm-linux-gnueabihf.so -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/feature_extraction
creating /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/manifold
copying build/lib.linux-armv7l-3.6/sklearn/manifold/__init__.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/manifold
copying build/lib.linux-armv7l-3.6/sklearn/manifold/isomap.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/manifold
copying build/lib.linux-armv7l-3.6/sklearn/manifold/locally_linear.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/manifold
copying build/lib.linux-armv7l-3.6/sklearn/manifold/mds.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/manifold
copying build/lib.linux-armv7l-3.6/sklearn/manifold/setup.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/manifold
copying build/lib.linux-armv7l-3.6/sklearn/manifold/spectral_embedding_.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/manifold
copying build/lib.linux-armv7l-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/manifold/tests
copying build/lib.linux-armv7l-3.6/sklearn/manifold/tests/__init__.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/manifold/tests
copying build/lib.linux-armv7l-3.6/sklearn/manifold/tests/test_isomap.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/manifold/tests
copying build/lib.linux-armv7l-3.6/sklearn/manifold/tests/test_locally_linear.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/manifold/tests
copying build/lib.linux-armv7l-3.6/sklearn/manifold/tests/test_mds.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/manifold/tests
copying build/lib.linux-armv7l-3.6/sklearn/manifold/tests/test_spectral_embedding.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/manifold/tests
copying build/lib.linux-armv7l-3.6/sklearn/manifold/tests/test_t_sne.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/manifold/tests
copying build/lib.linux-armv7l-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-armv7l-3.6/sklearn/manifold/_barnes_hut_tsne.cpython-36m-arm-linux-gnueabihf.so -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/manifold
creating /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/metrics
copying build/lib.linux-armv7l-3.6/sklearn/metrics/__init__.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/metrics
copying build/lib.linux-armv7l-3.6/sklearn/metrics/base.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/metrics
copying build/lib.linux-armv7l-3.6/sklearn/metrics/classification.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/metrics
copying build/lib.linux-armv7l-3.6/sklearn/metrics/ranking.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/metrics
copying build/lib.linux-armv7l-3.6/sklearn/metrics/regression.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/metrics
copying build/lib.linux-armv7l-3.6/sklearn/metrics/scorer.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/metrics
copying build/lib.linux-armv7l-3.6/sklearn/metrics/setup.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/metrics
copying build/lib.linux-armv7l-3.6/sklearn/metrics/pairwise.py -> /<<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-armv7l-3.6/sklearn/metrics/tests/__init__.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/metrics/tests
copying build/lib.linux-armv7l-3.6/sklearn/metrics/tests/test_classification.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/metrics/tests
copying build/lib.linux-armv7l-3.6/sklearn/metrics/tests/test_common.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/metrics/tests
copying build/lib.linux-armv7l-3.6/sklearn/metrics/tests/test_pairwise.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/metrics/tests
copying build/lib.linux-armv7l-3.6/sklearn/metrics/tests/test_regression.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/metrics/tests
copying build/lib.linux-armv7l-3.6/sklearn/metrics/tests/test_score_objects.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/metrics/tests
copying build/lib.linux-armv7l-3.6/sklearn/metrics/tests/test_ranking.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/metrics/tests
creating /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/metrics/cluster
copying build/lib.linux-armv7l-3.6/sklearn/metrics/cluster/__init__.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/metrics/cluster
copying build/lib.linux-armv7l-3.6/sklearn/metrics/cluster/bicluster.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/metrics/cluster
copying build/lib.linux-armv7l-3.6/sklearn/metrics/cluster/setup.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/metrics/cluster
copying build/lib.linux-armv7l-3.6/sklearn/metrics/cluster/supervised.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/metrics/cluster
copying build/lib.linux-armv7l-3.6/sklearn/metrics/cluster/unsupervised.py -> /<<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-armv7l-3.6/sklearn/metrics/cluster/tests/__init__.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/metrics/cluster/tests
copying build/lib.linux-armv7l-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-armv7l-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-armv7l-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-armv7l-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-armv7l-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/neighbors
copying build/lib.linux-armv7l-3.6/sklearn/neighbors/__init__.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/neighbors
copying build/lib.linux-armv7l-3.6/sklearn/neighbors/approximate.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/neighbors
copying build/lib.linux-armv7l-3.6/sklearn/neighbors/base.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/neighbors
copying build/lib.linux-armv7l-3.6/sklearn/neighbors/classification.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/neighbors
copying build/lib.linux-armv7l-3.6/sklearn/neighbors/graph.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/neighbors
copying build/lib.linux-armv7l-3.6/sklearn/neighbors/kde.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/neighbors
copying build/lib.linux-armv7l-3.6/sklearn/neighbors/lof.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/neighbors
copying build/lib.linux-armv7l-3.6/sklearn/neighbors/nearest_centroid.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/neighbors
copying build/lib.linux-armv7l-3.6/sklearn/neighbors/regression.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/neighbors
copying build/lib.linux-armv7l-3.6/sklearn/neighbors/setup.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/neighbors
copying build/lib.linux-armv7l-3.6/sklearn/neighbors/unsupervised.py -> /<<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-armv7l-3.6/sklearn/neighbors/tests/__init__.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/neighbors/tests
copying build/lib.linux-armv7l-3.6/sklearn/neighbors/tests/test_ball_tree.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/neighbors/tests
copying build/lib.linux-armv7l-3.6/sklearn/neighbors/tests/test_dist_metrics.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/neighbors/tests
copying build/lib.linux-armv7l-3.6/sklearn/neighbors/tests/test_kd_tree.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/neighbors/tests
copying build/lib.linux-armv7l-3.6/sklearn/neighbors/tests/test_kde.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/neighbors/tests
copying build/lib.linux-armv7l-3.6/sklearn/neighbors/tests/test_lof.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/neighbors/tests
copying build/lib.linux-armv7l-3.6/sklearn/neighbors/tests/test_nearest_centroid.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/neighbors/tests
copying build/lib.linux-armv7l-3.6/sklearn/neighbors/tests/test_neighbors.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/neighbors/tests
copying build/lib.linux-armv7l-3.6/sklearn/neighbors/tests/test_quad_tree.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/neighbors/tests
copying build/lib.linux-armv7l-3.6/sklearn/neighbors/tests/test_approximate.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/neighbors/tests
copying build/lib.linux-armv7l-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-armv7l-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-armv7l-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-armv7l-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-armv7l-3.6/sklearn/neighbors/quad_tree.cpython-36m-arm-linux-gnueabihf.so -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/neighbors
creating /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tree
copying build/lib.linux-armv7l-3.6/sklearn/tree/__init__.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tree
copying build/lib.linux-armv7l-3.6/sklearn/tree/export.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tree
copying build/lib.linux-armv7l-3.6/sklearn/tree/setup.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tree
copying build/lib.linux-armv7l-3.6/sklearn/tree/tree.py -> /<<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-armv7l-3.6/sklearn/tree/tests/__init__.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tree/tests
copying build/lib.linux-armv7l-3.6/sklearn/tree/tests/test_export.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tree/tests
copying build/lib.linux-armv7l-3.6/sklearn/tree/tests/test_tree.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tree/tests
copying build/lib.linux-armv7l-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-armv7l-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-armv7l-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-armv7l-3.6/sklearn/tree/_utils.cpython-36m-arm-linux-gnueabihf.so -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tree
creating /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/svm
copying build/lib.linux-armv7l-3.6/sklearn/svm/__init__.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/svm
copying build/lib.linux-armv7l-3.6/sklearn/svm/base.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/svm
copying build/lib.linux-armv7l-3.6/sklearn/svm/bounds.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/svm
copying build/lib.linux-armv7l-3.6/sklearn/svm/classes.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/svm
copying build/lib.linux-armv7l-3.6/sklearn/svm/setup.py -> /<<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-armv7l-3.6/sklearn/svm/tests/__init__.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/svm/tests
copying build/lib.linux-armv7l-3.6/sklearn/svm/tests/test_bounds.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/svm/tests
copying build/lib.linux-armv7l-3.6/sklearn/svm/tests/test_sparse.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/svm/tests
copying build/lib.linux-armv7l-3.6/sklearn/svm/tests/test_svm.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/svm/tests
copying build/lib.linux-armv7l-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-armv7l-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-armv7l-3.6/sklearn/svm/libsvm_sparse.cpython-36m-arm-linux-gnueabihf.so -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/svm
creating /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model
copying build/lib.linux-armv7l-3.6/sklearn/linear_model/__init__.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model
copying build/lib.linux-armv7l-3.6/sklearn/linear_model/base.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model
copying build/lib.linux-armv7l-3.6/sklearn/linear_model/bayes.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model
copying build/lib.linux-armv7l-3.6/sklearn/linear_model/coordinate_descent.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model
copying build/lib.linux-armv7l-3.6/sklearn/linear_model/huber.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model
copying build/lib.linux-armv7l-3.6/sklearn/linear_model/least_angle.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model
copying build/lib.linux-armv7l-3.6/sklearn/linear_model/logistic.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model
copying build/lib.linux-armv7l-3.6/sklearn/linear_model/omp.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model
copying build/lib.linux-armv7l-3.6/sklearn/linear_model/passive_aggressive.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model
copying build/lib.linux-armv7l-3.6/sklearn/linear_model/perceptron.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model
copying build/lib.linux-armv7l-3.6/sklearn/linear_model/randomized_l1.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model
copying build/lib.linux-armv7l-3.6/sklearn/linear_model/ransac.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model
copying build/lib.linux-armv7l-3.6/sklearn/linear_model/ridge.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model
copying build/lib.linux-armv7l-3.6/sklearn/linear_model/sag.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model
copying build/lib.linux-armv7l-3.6/sklearn/linear_model/setup.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model
copying build/lib.linux-armv7l-3.6/sklearn/linear_model/stochastic_gradient.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model
copying build/lib.linux-armv7l-3.6/sklearn/linear_model/theil_sen.py -> /<<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-armv7l-3.6/sklearn/linear_model/tests/__init__.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/tests
copying build/lib.linux-armv7l-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-armv7l-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-armv7l-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-armv7l-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-armv7l-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-armv7l-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-armv7l-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-armv7l-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-armv7l-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-armv7l-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-armv7l-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-armv7l-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-armv7l-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-armv7l-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-armv7l-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-armv7l-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-armv7l-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-armv7l-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-armv7l-3.6/sklearn/linear_model/sag_fast.cpython-36m-arm-linux-gnueabihf.so -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model
creating /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils
copying build/lib.linux-armv7l-3.6/sklearn/utils/__init__.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils
copying build/lib.linux-armv7l-3.6/sklearn/utils/_scipy_sparse_lsqr_backport.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils
copying build/lib.linux-armv7l-3.6/sklearn/utils/arpack.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils
copying build/lib.linux-armv7l-3.6/sklearn/utils/bench.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils
copying build/lib.linux-armv7l-3.6/sklearn/utils/class_weight.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils
copying build/lib.linux-armv7l-3.6/sklearn/utils/deprecation.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils
copying build/lib.linux-armv7l-3.6/sklearn/utils/estimator_checks.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils
copying build/lib.linux-armv7l-3.6/sklearn/utils/extmath.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils
copying build/lib.linux-armv7l-3.6/sklearn/utils/fixes.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils
copying build/lib.linux-armv7l-3.6/sklearn/utils/graph.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils
copying build/lib.linux-armv7l-3.6/sklearn/utils/linear_assignment_.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils
copying build/lib.linux-armv7l-3.6/sklearn/utils/metaestimators.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils
copying build/lib.linux-armv7l-3.6/sklearn/utils/mocking.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils
copying build/lib.linux-armv7l-3.6/sklearn/utils/multiclass.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils
copying build/lib.linux-armv7l-3.6/sklearn/utils/optimize.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils
copying build/lib.linux-armv7l-3.6/sklearn/utils/random.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils
copying build/lib.linux-armv7l-3.6/sklearn/utils/setup.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils
copying build/lib.linux-armv7l-3.6/sklearn/utils/sparsefuncs.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils
copying build/lib.linux-armv7l-3.6/sklearn/utils/stats.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils
copying build/lib.linux-armv7l-3.6/sklearn/utils/testing.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils
copying build/lib.linux-armv7l-3.6/sklearn/utils/validation.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils
creating /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/sparsetools
copying build/lib.linux-armv7l-3.6/sklearn/utils/sparsetools/__init__.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/sparsetools
copying build/lib.linux-armv7l-3.6/sklearn/utils/sparsetools/setup.py -> /<<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-armv7l-3.6/sklearn/utils/sparsetools/tests/__init__.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/sparsetools/tests
creating /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/tests
copying build/lib.linux-armv7l-3.6/sklearn/utils/tests/__init__.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/tests
copying build/lib.linux-armv7l-3.6/sklearn/utils/tests/test_bench.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/tests
copying build/lib.linux-armv7l-3.6/sklearn/utils/tests/test_class_weight.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/tests
copying build/lib.linux-armv7l-3.6/sklearn/utils/tests/test_deprecation.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/tests
copying build/lib.linux-armv7l-3.6/sklearn/utils/tests/test_estimator_checks.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/tests
copying build/lib.linux-armv7l-3.6/sklearn/utils/tests/test_extmath.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/tests
copying build/lib.linux-armv7l-3.6/sklearn/utils/tests/test_fast_dict.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/tests
copying build/lib.linux-armv7l-3.6/sklearn/utils/tests/test_fixes.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/tests
copying build/lib.linux-armv7l-3.6/sklearn/utils/tests/test_graph.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/tests
copying build/lib.linux-armv7l-3.6/sklearn/utils/tests/test_linear_assignment.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/tests
copying build/lib.linux-armv7l-3.6/sklearn/utils/tests/test_metaestimators.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/tests
copying build/lib.linux-armv7l-3.6/sklearn/utils/tests/test_multiclass.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/tests
copying build/lib.linux-armv7l-3.6/sklearn/utils/tests/test_murmurhash.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/tests
copying build/lib.linux-armv7l-3.6/sklearn/utils/tests/test_optimize.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/tests
copying build/lib.linux-armv7l-3.6/sklearn/utils/tests/test_random.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/tests
copying build/lib.linux-armv7l-3.6/sklearn/utils/tests/test_seq_dataset.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/tests
copying build/lib.linux-armv7l-3.6/sklearn/utils/tests/test_shortest_path.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/tests
copying build/lib.linux-armv7l-3.6/sklearn/utils/tests/test_sparsefuncs.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/tests
copying build/lib.linux-armv7l-3.6/sklearn/utils/tests/test_stats.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/tests
copying build/lib.linux-armv7l-3.6/sklearn/utils/tests/test_testing.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/tests
copying build/lib.linux-armv7l-3.6/sklearn/utils/tests/test_utils.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/tests
copying build/lib.linux-armv7l-3.6/sklearn/utils/tests/test_validation.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/tests
copying build/lib.linux-armv7l-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-armv7l-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-armv7l-3.6/sklearn/utils/murmurhash.cpython-36m-arm-linux-gnueabihf.so -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils
copying build/lib.linux-armv7l-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-armv7l-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-armv7l-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-armv7l-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-armv7l-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-armv7l-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-armv7l-3.6/sklearn/utils/_logistic_sigmoid.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/tests
copying build/lib.linux-armv7l-3.6/sklearn/tests/__init__.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests
copying build/lib.linux-armv7l-3.6/sklearn/tests/test_base.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests
copying build/lib.linux-armv7l-3.6/sklearn/tests/test_calibration.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests
copying build/lib.linux-armv7l-3.6/sklearn/tests/test_check_build.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests
copying build/lib.linux-armv7l-3.6/sklearn/tests/test_common.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests
copying build/lib.linux-armv7l-3.6/sklearn/tests/test_config.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests
copying build/lib.linux-armv7l-3.6/sklearn/tests/test_cross_validation.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests
copying build/lib.linux-armv7l-3.6/sklearn/tests/test_discriminant_analysis.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests
copying build/lib.linux-armv7l-3.6/sklearn/tests/test_docstring_parameters.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests
copying build/lib.linux-armv7l-3.6/sklearn/tests/test_dummy.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests
copying build/lib.linux-armv7l-3.6/sklearn/tests/test_grid_search.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests
copying build/lib.linux-armv7l-3.6/sklearn/tests/test_init.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests
copying build/lib.linux-armv7l-3.6/sklearn/tests/test_isotonic.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests
copying build/lib.linux-armv7l-3.6/sklearn/tests/test_kernel_approximation.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests
copying build/lib.linux-armv7l-3.6/sklearn/tests/test_kernel_ridge.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests
copying build/lib.linux-armv7l-3.6/sklearn/tests/test_learning_curve.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests
copying build/lib.linux-armv7l-3.6/sklearn/tests/test_metaestimators.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests
copying build/lib.linux-armv7l-3.6/sklearn/tests/test_multiclass.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests
copying build/lib.linux-armv7l-3.6/sklearn/tests/test_multioutput.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests
copying build/lib.linux-armv7l-3.6/sklearn/tests/test_naive_bayes.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests
copying build/lib.linux-armv7l-3.6/sklearn/tests/test_pipeline.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests
copying build/lib.linux-armv7l-3.6/sklearn/tests/test_random_projection.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests
copying build/lib.linux-armv7l-3.6/sklearn/_isotonic.cpython-36m-arm-linux-gnueabihf.so -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn
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/base.py to base.cpython-36.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/calibration.py to calibration.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/discriminant_analysis.py to discriminant_analysis.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/exceptions.py to exceptions.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/isotonic.py to isotonic.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/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/multiclass.py to multiclass.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/naive_bayes.py to naive_bayes.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/random_projection.py to random_projection.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/__check_build/__init__.py to __init__.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/_build_utils/__init__.py to __init__.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/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/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/tests/__init__.py to __init__.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/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_robust_covariance.py to test_robust_covariance.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/cross_decomposition/pls_.py to pls_.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/feature_selection/__init__.py to __init__.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/from_model.py to from_model.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/feature_selection/rfe.py to rfe.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/variance_threshold.py to variance_threshold.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_chi2.py to test_chi2.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_rfe.py to test_rfe.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/gaussian_process/__init__.py to __init__.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/gaussian_process.py to gaussian_process.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/gaussian_process/gpr.py to gpr.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/regression_models.py to regression_models.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_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_gpc.py to test_gpc.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/test_kernels.py to test_kernels.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/base.py to base.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/mixture/dpgmm.py to dpgmm.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/gmm.py to gmm.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_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/test_gmm.py to test_gmm.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/_search.py to _search.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/model_selection/_validation.py to _validation.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/common.py to common.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/test_validation.py to test_validation.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/neural_network/__init__.py to __init__.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/_stochastic_optimizers.py to _stochastic_optimizers.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/rbm.py to 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_mlp.py to test_mlp.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/test_stochastic_optimizers.py to test_stochastic_optimizers.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/_function_transformer.py to _function_transformer.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/imputation.py to imputation.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/tests/__init__.py to __init__.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/test_imputation.py to test_imputation.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/semi_supervised/__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/tests/__init__.py to __init__.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/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/cluster/affinity_propagation_.py to affinity_propagation_.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/birch.py to birch.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/hierarchical.py to hierarchical.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/setup.py to setup.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/tests/__init__.py to __init__.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_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_birch.py to test_birch.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/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_mean_shift.py to test_mean_shift.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/datasets/__init__.py to __init__.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/california_housing.py to california_housing.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/kddcup99.py to kddcup99.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/mldata.py to mldata.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/datasets/rcv1.py to rcv1.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/setup.py to setup.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/twenty_newsgroups.py to twenty_newsgroups.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/tests/__init__.py to __init__.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_base.py to test_base.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_kddcup99.py to test_kddcup99.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_rcv1.py to test_rcv1.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/tests/test_svmlight_format.py to test_svmlight_format.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/base.py to base.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/fastica_.py to fastica_.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/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/online_lda.py to online_lda.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/setup.py to setup.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/decomposition/truncated_svd.py to truncated_svd.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_dict_learning.py to test_dict_learning.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_fastica.py to test_fastica.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_kernel_pca.py to test_kernel_pca.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/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_pca.py to test_pca.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/test_truncated_svd.py to test_truncated_svd.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/bagging.py to bagging.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/forest.py to forest.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/iforest.py to iforest.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/setup.py to setup.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/weight_boosting.py to weight_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_bagging.py to test_bagging.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_forest.py to test_forest.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/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_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_voting_classifier.py to test_voting_classifier.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/externals/__init__.py to __init__.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/setup.py to setup.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/test_externals_setup.py to test_externals_setup.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/feature_extraction/__init__.py to __init__.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/image.py to image.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/stop_words.py to stop_words.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/tests/__init__.py to __init__.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/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_image.py to test_image.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/manifold/__init__.py to __init__.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/mds.py to mds.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/spectral_embedding_.py to spectral_embedding_.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/manifold/tests/__init__.py to __init__.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/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_mds.py to test_mds.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_t_sne.py to test_t_sne.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/base.py to base.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/metrics/ranking.py to ranking.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/scorer.py to scorer.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/pairwise.py to pairwise.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_classification.py to test_classification.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_pairwise.py to test_pairwise.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/cluster/__init__.py to __init__.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/setup.py to setup.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/cluster/unsupervised.py to unsupervised.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_bicluster.py to test_bicluster.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/test_unsupervised.py to test_unsupervised.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/base.py to base.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/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/lof.py to lof.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/regression.py to regression.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/unsupervised.py to unsupervised.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_ball_tree.py to test_ball_tree.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_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_lof.py to test_lof.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/test_neighbors.py to test_neighbors.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_approximate.py to test_approximate.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/tree/export.py to export.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/tree.py to tree.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/tests/test_export.py to test_export.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/svm/__init__.py to __init__.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/bounds.py to bounds.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/tests/__init__.py to __init__.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/test_sparse.py to test_sparse.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/linear_model/__init__.py to __init__.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/bayes.py to bayes.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/huber.py to huber.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/linear_model/logistic.py to logistic.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/passive_aggressive.py to passive_aggressive.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/randomized_l1.py to randomized_l1.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/ridge.py to ridge.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/setup.py to setup.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/theil_sen.py to theil_sen.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_bayes.py to test_bayes.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/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_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_logistic.py to test_logistic.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/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_perceptron.py to test_perceptron.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_ransac.py to test_ransac.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_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_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_theil_sen.py to test_theil_sen.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/_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/arpack.py to arpack.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/class_weight.py to class_weight.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/estimator_checks.py to estimator_checks.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/fixes.py to fixes.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/linear_assignment_.py to linear_assignment_.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/mocking.py to mocking.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/optimize.py to optimize.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/setup.py to setup.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/stats.py to stats.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/validation.py to validation.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/sparsetools/setup.py to setup.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/tests/__init__.py to __init__.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_class_weight.py to test_class_weight.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_estimator_checks.py to test_estimator_checks.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_fast_dict.py to test_fast_dict.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_linear_assignment.py to test_linear_assignment.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_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_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_seq_dataset.py to test_seq_dataset.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_sparsefuncs.py to test_sparsefuncs.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/test_testing.py to test_testing.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_validation.py to test_validation.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_calibration.py to test_calibration.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_common.py to test_common.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_cross_validation.py to test_cross_validation.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_docstring_parameters.py to test_docstring_parameters.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_grid_search.py to test_grid_search.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_kernel_approximation.py to test_kernel_approximation.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_learning_curve.py to test_learning_curve.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_multiclass.py to test_multiclass.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_naive_bayes.py to test_naive_bayes.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_random_projection.py to test_random_projection.cpython-36.pyc
running install_data
creating /<<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/diabetes_data.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/
copying sklearn/datasets/data/linnerud_exercise.csv -> /<<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/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/
creating /<<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/
copying sklearn/datasets/descr/wine_data.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/linnerud.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/diabetes.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/README.txt -> /<<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/
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_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/
copying sklearn/datasets/tests/data/svmlight_invalid.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-0.19.1.egg-info
running install_clib
Partial import of sklearn during the build process.
/usr/lib/python3/dist-packages/numpy/distutils/system_info.py:572: 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:572: 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:572: 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:72: 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 1040013437
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:2524: RuntimeWarning: underflow encountered in multiply
result = 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([[ 3.16360000e+00, 0.00000000e+00, 1.81000000e+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([[ 3.16360000e+00, 0.00000000e+00, 1.81000000e+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([[ 3.16360000e+00, 0.00000000e+00, 1.81000000e+01, ..., ... ok
sklearn.ensemble.tests.test_forest.test_parallel('RandomForestRegressor', array([[ 3.16360000e+00, 0.00000000e+00, 1.81000000e+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([[ 3.16360000e+00, 0.00000000e+00, 1.81000000e+01, ..., ... ok
sklearn.ensemble.tests.test_forest.test_pickle('RandomForestRegressor', array([[ 3.16360000e+00, 0.00000000e+00, 1.81000000e+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., ... ok
sklearn.ensemble.tests.test_forest.test_sparse_input('ExtraTreesRegressor', array([[ 3., 1., 4., 0., 3., 0., 7., 2., 1., 0., 5., ... ok
sklearn.ensemble.tests.test_forest.test_sparse_input('ExtraTreesRegressor', array([[ 3., 1., 4., 0., 3., 0., 7., 2., 1., 0., 5., ... ok
sklearn.ensemble.tests.test_forest.test_sparse_input('RandomForestRegressor', array([[ 3., 1., 4., 0., 3., 0., 7., 2., 1., 0., 5., ... ok
sklearn.ensemble.tests.test_forest.test_sparse_input('RandomForestRegressor', array([[ 3., 1., 4., 0., 3., 0., 7., 2., 1., 0., 5., ... ok
sklearn.ensemble.tests.test_forest.test_sparse_input('RandomForestRegressor', array([[ 3., 1., 4., 0., 3., 0., 7., 2., 1., 0., 5., ... ok
sklearn.ensemble.tests.test_forest.test_sparse_input('RandomTreesEmbedding', array([[ 3., 1., 4., 0., 3., 0., 7., 2., 1., 0., 5., ... ok
sklearn.ensemble.tests.test_forest.test_sparse_input('RandomTreesEmbedding', array([[ 3., 1., 4., 0., 3., 0., 7., 2., 1., 0., 5., ... ok
sklearn.ensemble.tests.test_forest.test_sparse_input('RandomTreesEmbedding', array([[ 3., 1., 4., 0., 3., 0., 7., 2., 1., 0., 5., ... ok
sklearn.ensemble.tests.test_forest.test_sparse_input('ExtraTreesClassifier', array([[ 3., 1., 4., 0., 3., 0., 7., 2., 1., 0., 5., ... ok
sklearn.ensemble.tests.test_forest.test_sparse_input('ExtraTreesClassifier', array([[ 3., 1., 4., 0., 3., 0., 7., 2., 1., 0., 5., ... ok
sklearn.ensemble.tests.test_forest.test_sparse_input('ExtraTreesClassifier', array([[ 3., 1., 4., 0., 3., 0., 7., 2., 1., 0., 5., ... ok
sklearn.ensemble.tests.test_forest.test_sparse_input('RandomForestClassifier', array([[ 3., 1., 4., 0., 3., 0., 7., 2., 1., 0., 5., ... ok
sklearn.ensemble.tests.test_forest.test_sparse_input('RandomForestClassifier', array([[ 3., 1., 4., 0., 3., 0., 7., 2., 1., 0., 5., ... ok
sklearn.ensemble.tests.test_forest.test_sparse_input('RandomForestClassifier', array([[ 3., 1., 4., 0., 3., 0., 7., 2., 1., 0., 5., ... 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., ... 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., ... 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., ... 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., ... 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., ... 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., ... 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. ... 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:110: 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:1142: 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:110: 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_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 ... ok
sklearn.linear_model.tests.test_least_angle.test_lasso_gives_lstsq_solution ... 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 ... 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 ... ok
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 ... ok
sklearn.linear_model.tests.test_ridge.test_primal_dual_relationship ... ok
sklearn.linear_model.tests.test_ridge.test_ridge_singular ... /usr/lib/python2.7/dist-packages/scipy/linalg/basic.py:223: RuntimeWarning: scipy.linalg.solve
Ill-conditioned matrix detected. Result is not guaranteed to be accurate.
Reciprocal condition number: 1.60495288324e-18
' condition number: {}'.format(rcond), RuntimeWarning)
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 0xb291a770>,) ... ok
sklearn.linear_model.tests.test_ridge.test_dense_sparse(<function _test_ridge_cv at 0xb291a7f0>,) ... ok
sklearn.linear_model.tests.test_ridge.test_dense_sparse(<function _test_ridge_cv_normalize at 0xb291a7b0>,) ... ok
sklearn.linear_model.tests.test_ridge.test_dense_sparse(<function _test_ridge_diabetes at 0xb291a830>,) ... ok
sklearn.linear_model.tests.test_ridge.test_dense_sparse(<function _test_multi_ridge_diabetes at 0xb291a870>,) ... ok
sklearn.linear_model.tests.test_ridge.test_dense_sparse(<function _test_ridge_classifiers at 0xb291a8b0>,) ... ok
sklearn.linear_model.tests.test_ridge.test_dense_sparse(<function _test_tolerance at 0xb291a8f0>,) ... 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 0xb38b5770>, 'euclidean', {}) ... ok
sklearn.metrics.tests.test_pairwise.test_pairwise_parallel(<function pairwise_distances at 0xb38b5770>, <function wminkowski at 0xb3d78bb0>, {'p': 1, 'w': array([ 1., 2., 3., 4.])}) ... ok
sklearn.metrics.tests.test_pairwise.test_pairwise_parallel(<function pairwise_distances at 0xb38b5770>, 'wminkowski', {'p': 1, 'w': array([ 1., 2., 3., 4.])}) ... ok
sklearn.metrics.tests.test_pairwise.test_pairwise_parallel(<function pairwise_kernels at 0xb38b57f0>, 'polynomial', {'degree': 1}) ... ok
sklearn.metrics.tests.test_pairwise.test_pairwise_parallel(<function pairwise_kernels at 0xb38b57f0>, <function callable_rbf_kernel at 0xb28a24b0>, {'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 0xb39f8a70>,) ... ok
sklearn.metrics.tests.test_ranking.test_label_ranking_avp(<function label_ranking_average_precision_score at 0xb39f8a70>,) ... ok
sklearn.metrics.tests.test_ranking.test_label_ranking_avp(<function label_ranking_average_precision_score at 0xb39f8a70>,) ... ok
sklearn.metrics.tests.test_ranking.test_label_ranking_avp(<function label_ranking_average_precision_score at 0xb39f8a70>,) ... ok
sklearn.metrics.tests.test_ranking.test_label_ranking_avp(<function label_ranking_average_precision_score at 0xb39f8a70>,) ... ok
sklearn.metrics.tests.test_ranking.test_label_ranking_avp(<function _my_lrap at 0xb28318f0>,) ... ok
sklearn.metrics.tests.test_ranking.test_label_ranking_avp(<function _my_lrap at 0xb28318f0>,) ... ok
sklearn.metrics.tests.test_ranking.test_label_ranking_avp(<function _my_lrap at 0xb28318f0>,) ... ok
sklearn.metrics.tests.test_ranking.test_label_ranking_avp(<function _my_lrap at 0xb28318f0>,) ... ok
sklearn.metrics.tests.test_ranking.test_label_ranking_avp(<function label_ranking_average_precision_score at 0xb39f8a70>,) ... ok
sklearn.metrics.tests.test_ranking.test_label_ranking_avp(<function label_ranking_average_precision_score at 0xb39f8a70>, 2, 1, 0) ... ok
sklearn.metrics.tests.test_ranking.test_label_ranking_avp(<function label_ranking_average_precision_score at 0xb39f8a70>, 5, 1, 0) ... ok
sklearn.metrics.tests.test_ranking.test_label_ranking_avp(<function label_ranking_average_precision_score at 0xb39f8a70>, 10, 1, 0) ... ok
sklearn.metrics.tests.test_ranking.test_label_ranking_avp(<function label_ranking_average_precision_score at 0xb39f8a70>, 2, 2, 0) ... ok
sklearn.metrics.tests.test_ranking.test_label_ranking_avp(<function label_ranking_average_precision_score at 0xb39f8a70>, 5, 2, 0) ... ok
sklearn.metrics.tests.test_ranking.test_label_ranking_avp(<function label_ranking_average_precision_score at 0xb39f8a70>, 10, 2, 0) ... ok
sklearn.metrics.tests.test_ranking.test_label_ranking_avp(<function label_ranking_average_precision_score at 0xb39f8a70>, 2, 8, 0) ... ok
sklearn.metrics.tests.test_ranking.test_label_ranking_avp(<function label_ranking_average_precision_score at 0xb39f8a70>, 5, 8, 0) ... ok
sklearn.metrics.tests.test_ranking.test_label_ranking_avp(<function label_ranking_average_precision_score at 0xb39f8a70>, 10, 8, 0) ... ok
sklearn.metrics.tests.test_ranking.test_label_ranking_avp(<function label_ranking_average_precision_score at 0xb39f8a70>, 2, 20, 0) ... ok
sklearn.metrics.tests.test_ranking.test_label_ranking_avp(<function label_ranking_average_precision_score at 0xb39f8a70>, 5, 20, 0) ... ok
sklearn.metrics.tests.test_ranking.test_label_ranking_avp(<function label_ranking_average_precision_score at 0xb39f8a70>, 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:110: 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:110: 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:110: 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:110: 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:110: 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:110: 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:110: 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:110: 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:110: 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:110: 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:110: 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:110: 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:110: 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:110: 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:110: 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:110: 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:110: 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:110: 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:110: 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:110: 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:110: 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:110: 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:110: 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:110: 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:110: 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:110: 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:110: 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:110: 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:110: 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:110: 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:110: 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:110: 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:584: 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:588: 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/utils.py:761: 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: 0.1s 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 0xb10c3dc0>, 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 0xb10c3dc0>, 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 0xb10c3dc0>, 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 0xb10c3dc0>, 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 0xb10c3dc0>, 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 0xb10c3dc0>, 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 0xb10c3dc0>, 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 0xb10c3dc0>, 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 0xb10c3dc0>, 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 0xb10c3dc0>, 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 0xb10c3dc0>, 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 0xb10c3dc0>, 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 0xb10c3dc0>, 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 0xb10c3dc0>, 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 0xb10c3dc0>, 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 0xb10c3dc0>, 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 0xb10c3dc0>, 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 0xb10c3dc0>, 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 0xb10c3dc0>, 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 0xb10c3dc0>, 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 0xb10c3dc0>, 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 0xb10c3dc0>, 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 0xb10c3dc0>, 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 0xb10c3dc0>, 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 0xb10c3dc0>, 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 0xb10c3dc0>, 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 0xb10c3dc0>, 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 0xb10c3dc0>, 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 0xb10c3dc0>, 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 0xb10c3dc0>, 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 0xb10c3dc0>, 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 0xb10c3dc0>, 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 0xb10c3dc0>, 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 0xb10c3dc0>, 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 0xb10c3dc0>, 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 0xb10c3dc0>, 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 0xb10c3dc0>, 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 0xb10c3dc0>, 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 0xb10c3dc0>, 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 0xb10c3dc0>, 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 0xb10c3dc0>, 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 0xb10c3dc0>, 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 0xb10c3dc0>, 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 0xb10c3dc0>, 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 0xb10c3dc0>, 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 0xb10c3dc0>, 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 0xb10c3dc0>, 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 0xb10c3dc0>, 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 0xb10c3dc0>, 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 0xb10c3dc0>, 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 0xb10c3dc0>, 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 0xb10c3dc0>, 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 0xb10c3dc0>, 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 0xb10c3dc0>, 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 0xb10c3dc0>, 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 0xb10c3dc0>, 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 0xb10c3dc0>, 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 0xb10c3dc0>, 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 0xb10c3dc0>, 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 0xb10c3dc0>, 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 0xb10c3dc0>, 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 0xb10c3dc0>, 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 0xb10c3dc0>, 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 0xb10c3dc0>, 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 0xb10c3dc0>, 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 0xb10c3dc0>, 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 0xb10c3dc0>, 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 0xb10c3dc0>, 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 0xb10c3dc0>, 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 0xb10c3dc0>, 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 0xb10c3dc0>, 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 0xb10c3dc0>, 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 0xb10c3dc0>, 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 0xb10c3dc0>, 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 0xb10c3dc0>, 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 0xb10c3dc0>, 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 0xb10c3dc0>, 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 0xb10c3dc0>, 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 0xb10c3dc0>, 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 0xb10c3dc0>, 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 0xb10c3dc0>, 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 0xb10c3dc0>, 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 0xb10c3dc0>, 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 0xb10c3dc0>, 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 0xb10c3dc0>, 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 0xb10c3dc0>, 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 0xb10c3dc0>, 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 0xb10c3dc0>, 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 0xb10c3dc0>, 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 0xb10c3dc0>, 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 0xb10c3dc0>, 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 0xb10c3dc0>, 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 0xb10c3dc0>, 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 0xb10c3dc0>, 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 0xb10c3dc0>, 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 0xb10c3dc0>, 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 0xb10c3dc0>, 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 0xb10c3dc0>, 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 0xb10c3dc0>, 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 0xb10c3dc0>, 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 0xb10c3dc0>, 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 0xb10c3dc0>, 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 0xb10c3dc0>, 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 0xb10c3dc0>, 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 0xb10c3dc0>, 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 0xb10c3dc0>, 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 0xb10c3dc0>, 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 0xb10c3dc0>, 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 0xb10c3dc0>, 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 0xb10c3dc0>, 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 0xb10c3dc0>, 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 0xb10c3dc0>, 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 0xb10c3dc0>, 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 0xb10c3dc0>, 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 0xb10c3dc0>, 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 0xb10c3dc0>, 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 0xb10c3dc0>, 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 0xb10c3dc0>, 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 0xb10c3dc0>, 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 0xb10c3dc0>, 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 0xb10c3dc0>, 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 0xb10c3dc0>, 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 0xb10c3dc0>, 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 0xb10c3dc0>, 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 0xb10c3dc0>, 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 0xb10c3dc0>, 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 0xb10c3dc0>, 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 0xb10c3dc0>, 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 0xb10c3dc0>, 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 0xb10c3dc0>, 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 0xb10c3dc0>, 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 0xb10c3dc0>, 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 0xb10c3dc0>, 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 0xb10c3dc0>, 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 0xb10c3dc0>, 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 0xb10c3dc0>, 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 0xb10c3dc0>, 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 0xb10c3dc0>, 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 0xb10c3dc0>, 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 0xb10c3dc0>, 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 0xb10c3dc0>, 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 0xb10c3dc0>, 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 0xb10c3dc0>, 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 0xb10c3dc0>, 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., ... 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 , ... 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 , ... 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., ... 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 , ... 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 , ... 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:2524: RuntimeWarning: underflow encountered in multiply
result = 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], ... 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 ... 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 ... 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 ... 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 ... 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:4016: 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:2909: 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 ... 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_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: 0.1s 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 0xb38e4ab0>,) ... ok
sklearn.tests.test_random_projection.test_basic_property_of_random_matrix(<function sparse_random_matrix at 0xb38e4ab0>,) ... ok
sklearn.tests.test_random_projection.test_basic_property_of_random_matrix(<function sparse_random_matrix at 0xb38e4ab0>,) ... ok
sklearn.tests.test_random_projection.test_basic_property_of_random_matrix(<function gaussian_random_matrix at 0xb38e4a70>,) ... ok
sklearn.tests.test_random_projection.test_basic_property_of_random_matrix(<function gaussian_random_matrix at 0xb38e4a70>,) ... ok
sklearn.tests.test_random_projection.test_basic_property_of_random_matrix(<function gaussian_random_matrix at 0xb38e4a70>,) ... ok
sklearn.tests.test_random_projection.test_basic_property_of_random_matrix(<function sparse_random_matrix at 0xb38e4ab0>,) ... ok
sklearn.tests.test_random_projection.test_basic_property_of_random_matrix(<function <lambda> at 0xb07c3a70>,) ... 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 8014 tests in 3300.657s
OK (SKIP=76)
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 2.462s
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 571192069
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:2524: RuntimeWarning: underflow encountered in multiply
result = 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([[ 3.16360000e+00, 0.00000000e+00, 1.81000000e+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([[ 3.16360000e+00, 0.00000000e+00, 1.81000000e+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([[ 3.16360000e+00, 0.00000000e+00, 1.81000000e+01, ..., ... ok
sklearn.ensemble.tests.test_forest.test_parallel('RandomForestRegressor', array([[ 3.16360000e+00, 0.00000000e+00, 1.81000000e+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([[ 3.16360000e+00, 0.00000000e+00, 1.81000000e+01, ..., ... ok
sklearn.ensemble.tests.test_forest.test_pickle('RandomForestRegressor', array([[ 3.16360000e+00, 0.00000000e+00, 1.81000000e+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., ... ok
sklearn.ensemble.tests.test_forest.test_sparse_input('ExtraTreesClassifier', array([[ 3., 1., 4., 0., 3., 0., 7., 2., 1., 0., 5., ... ok
sklearn.ensemble.tests.test_forest.test_sparse_input('ExtraTreesClassifier', array([[ 3., 1., 4., 0., 3., 0., 7., 2., 1., 0., 5., ... ok
sklearn.ensemble.tests.test_forest.test_sparse_input('RandomForestClassifier', array([[ 3., 1., 4., 0., 3., 0., 7., 2., 1., 0., 5., ... ok
sklearn.ensemble.tests.test_forest.test_sparse_input('RandomForestClassifier', array([[ 3., 1., 4., 0., 3., 0., 7., 2., 1., 0., 5., ... ok
sklearn.ensemble.tests.test_forest.test_sparse_input('RandomForestClassifier', array([[ 3., 1., 4., 0., 3., 0., 7., 2., 1., 0., 5., ... ok
sklearn.ensemble.tests.test_forest.test_sparse_input('ExtraTreesRegressor', array([[ 3., 1., 4., 0., 3., 0., 7., 2., 1., 0., 5., ... ok
sklearn.ensemble.tests.test_forest.test_sparse_input('ExtraTreesRegressor', array([[ 3., 1., 4., 0., 3., 0., 7., 2., 1., 0., 5., ... ok
sklearn.ensemble.tests.test_forest.test_sparse_input('ExtraTreesRegressor', array([[ 3., 1., 4., 0., 3., 0., 7., 2., 1., 0., 5., ... ok
sklearn.ensemble.tests.test_forest.test_sparse_input('RandomForestRegressor', array([[ 3., 1., 4., 0., 3., 0., 7., 2., 1., 0., 5., ... ok
sklearn.ensemble.tests.test_forest.test_sparse_input('RandomForestRegressor', array([[ 3., 1., 4., 0., 3., 0., 7., 2., 1., 0., 5., ... ok
sklearn.ensemble.tests.test_forest.test_sparse_input('RandomForestRegressor', array([[ 3., 1., 4., 0., 3., 0., 7., 2., 1., 0., 5., ... ok
sklearn.ensemble.tests.test_forest.test_sparse_input('RandomTreesEmbedding', array([[ 3., 1., 4., 0., 3., 0., 7., 2., 1., 0., 5., ... ok
sklearn.ensemble.tests.test_forest.test_sparse_input('RandomTreesEmbedding', array([[ 3., 1., 4., 0., 3., 0., 7., 2., 1., 0., 5., ... ok
sklearn.ensemble.tests.test_forest.test_sparse_input('RandomTreesEmbedding', array([[ 3., 1., 4., 0., 3., 0., 7., 2., 1., 0., 5., ... 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., ... 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., ... 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., ... 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., ... 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., ... 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., ... 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. ... 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/python3/dist-packages/scipy/special/_logsumexp.py:110: 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. ... /usr/lib/python3/dist-packages/scipy/special/_logsumexp.py:110: 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))
/usr/lib/python3/dist-packages/scipy/special/_logsumexp.py:110: 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))
/usr/lib/python3/dist-packages/numpy/lib/function_base.py:1142: RuntimeWarning: underflow encountered in multiply
avg = np.multiply(a, wgt, dtype=result_dtype).sum(axis)/scl
/usr/lib/python3/dist-packages/scipy/special/_logsumexp.py:110: 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))
/usr/lib/python3/dist-packages/scipy/special/_logsumexp.py:110: 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))
/usr/lib/python3/dist-packages/scipy/special/_logsumexp.py:110: 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))
/usr/lib/python3/dist-packages/numpy/lib/function_base.py:1142: RuntimeWarning: underflow encountered in multiply
avg = np.multiply(a, wgt, dtype=result_dtype).sum(axis)/scl
/usr/lib/python3/dist-packages/scipy/special/_logsumexp.py:110: 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))
/usr/lib/python3/dist-packages/scipy/special/_logsumexp.py:110: 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))
/usr/lib/python3/dist-packages/scipy/special/_logsumexp.py:110: 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))
/usr/lib/python3/dist-packages/numpy/lib/function_base.py:1142: RuntimeWarning: underflow encountered in multiply
avg = np.multiply(a, wgt, dtype=result_dtype).sum(axis)/scl
/usr/lib/python3/dist-packages/scipy/special/_logsumexp.py:110: 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))
/usr/lib/python3/dist-packages/scipy/special/_logsumexp.py:110: 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))
/usr/lib/python3/dist-packages/scipy/special/_logsumexp.py:110: 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))
/usr/lib/python3/dist-packages/numpy/lib/function_base.py:1142: RuntimeWarning: underflow encountered in multiply
avg = np.multiply(a, wgt, dtype=result_dtype).sum(axis)/scl
/usr/lib/python3/dist-packages/scipy/special/_logsumexp.py:110: 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 parallel backend of VotingClassifier on toy dataset. ... /usr/lib/python3/dist-packages/scipy/special/_logsumexp.py:110: 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
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 ... /usr/lib/python3/dist-packages/scipy/special/_logsumexp.py:110: 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:110: 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_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 ... ok
sklearn.linear_model.tests.test_least_angle.test_lasso_gives_lstsq_solution ... 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 ... 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 ... ok
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 ... ok
sklearn.linear_model.tests.test_ridge.test_primal_dual_relationship ... ok
sklearn.linear_model.tests.test_ridge.test_ridge_singular ... /usr/lib/python3/dist-packages/scipy/linalg/basic.py:223: RuntimeWarning: scipy.linalg.solve
Ill-conditioned matrix detected. Result is not guaranteed to be accurate.
Reciprocal condition number: 1.6049528832423051e-18
' condition number: {}'.format(rcond), RuntimeWarning)
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 0xb272f2b8>,) ... ok
sklearn.linear_model.tests.test_ridge.test_dense_sparse(<function _test_ridge_cv at 0xb272f348>,) ... ok
sklearn.linear_model.tests.test_ridge.test_dense_sparse(<function _test_ridge_cv_normalize at 0xb272f300>,) ... ok
sklearn.linear_model.tests.test_ridge.test_dense_sparse(<function _test_ridge_diabetes at 0xb272f390>,) ... ok
sklearn.linear_model.tests.test_ridge.test_dense_sparse(<function _test_multi_ridge_diabetes at 0xb272f3d8>,) ... ok
sklearn.linear_model.tests.test_ridge.test_dense_sparse(<function _test_ridge_classifiers at 0xb272f420>,) ... ok
sklearn.linear_model.tests.test_ridge.test_dense_sparse(<function _test_tolerance at 0xb272f468>,) ... 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/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 ... 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 0xb371d5d0>, 'euclidean', {}) ... ok
sklearn.metrics.tests.test_pairwise.test_pairwise_parallel(<function pairwise_distances at 0xb371d5d0>, <function wminkowski at 0xb3ee5d68>, {'w': array([ 1., 2., 3., 4.]), 'p': 1}) ... ok
sklearn.metrics.tests.test_pairwise.test_pairwise_parallel(<function pairwise_distances at 0xb371d5d0>, 'wminkowski', {'w': array([ 1., 2., 3., 4.]), 'p': 1}) ... ok
sklearn.metrics.tests.test_pairwise.test_pairwise_parallel(<function pairwise_kernels at 0xb371d660>, 'polynomial', {'degree': 1}) ... ok
sklearn.metrics.tests.test_pairwise.test_pairwise_parallel(<function pairwise_kernels at 0xb371d660>, <function callable_rbf_kernel at 0xb26b2db0>, {'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 0xb3814c00>,) ... ok
sklearn.metrics.tests.test_ranking.test_label_ranking_avp(<function label_ranking_average_precision_score at 0xb3814c00>,) ... ok
sklearn.metrics.tests.test_ranking.test_label_ranking_avp(<function label_ranking_average_precision_score at 0xb3814c00>,) ... ok
sklearn.metrics.tests.test_ranking.test_label_ranking_avp(<function label_ranking_average_precision_score at 0xb3814c00>,) ... ok
sklearn.metrics.tests.test_ranking.test_label_ranking_avp(<function label_ranking_average_precision_score at 0xb3814c00>,) ... ok
sklearn.metrics.tests.test_ranking.test_label_ranking_avp(<function _my_lrap at 0xb26bcf18>,) ... ok
sklearn.metrics.tests.test_ranking.test_label_ranking_avp(<function _my_lrap at 0xb26bcf18>,) ... ok
sklearn.metrics.tests.test_ranking.test_label_ranking_avp(<function _my_lrap at 0xb26bcf18>,) ... ok
sklearn.metrics.tests.test_ranking.test_label_ranking_avp(<function _my_lrap at 0xb26bcf18>,) ... ok
sklearn.metrics.tests.test_ranking.test_label_ranking_avp(<function label_ranking_average_precision_score at 0xb3814c00>,) ... ok
sklearn.metrics.tests.test_ranking.test_label_ranking_avp(<function label_ranking_average_precision_score at 0xb3814c00>, 2, 1, 0) ... ok
sklearn.metrics.tests.test_ranking.test_label_ranking_avp(<function label_ranking_average_precision_score at 0xb3814c00>, 5, 1, 0) ... ok
sklearn.metrics.tests.test_ranking.test_label_ranking_avp(<function label_ranking_average_precision_score at 0xb3814c00>, 10, 1, 0) ... ok
sklearn.metrics.tests.test_ranking.test_label_ranking_avp(<function label_ranking_average_precision_score at 0xb3814c00>, 2, 2, 0) ... ok
sklearn.metrics.tests.test_ranking.test_label_ranking_avp(<function label_ranking_average_precision_score at 0xb3814c00>, 5, 2, 0) ... ok
sklearn.metrics.tests.test_ranking.test_label_ranking_avp(<function label_ranking_average_precision_score at 0xb3814c00>, 10, 2, 0) ... ok
sklearn.metrics.tests.test_ranking.test_label_ranking_avp(<function label_ranking_average_precision_score at 0xb3814c00>, 2, 8, 0) ... ok
sklearn.metrics.tests.test_ranking.test_label_ranking_avp(<function label_ranking_average_precision_score at 0xb3814c00>, 5, 8, 0) ... ok
sklearn.metrics.tests.test_ranking.test_label_ranking_avp(<function label_ranking_average_precision_score at 0xb3814c00>, 10, 8, 0) ... ok
sklearn.metrics.tests.test_ranking.test_label_ranking_avp(<function label_ranking_average_precision_score at 0xb3814c00>, 2, 20, 0) ... ok
sklearn.metrics.tests.test_ranking.test_label_ranking_avp(<function label_ranking_average_precision_score at 0xb3814c00>, 5, 20, 0) ... ok
sklearn.metrics.tests.test_ranking.test_label_ranking_avp(<function label_ranking_average_precision_score at 0xb3814c00>, 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:110: 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:110: 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:110: 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:110: 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:110: 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:110: 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:110: 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:110: 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:110: 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:110: 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:110: 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:110: 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:110: 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:110: 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:110: 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:110: 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:110: 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:110: 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:110: 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:110: 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:110: 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:110: 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:110: 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:110: 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:110: 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:110: 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:110: 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:110: 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:110: 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:110: 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:110: 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:110: 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:584: 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:588: 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/utils.py:761: 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 ... 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 0xb0b86bd0>, 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 0xb0b86bd0>, 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 0xb0b86bd0>, 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 0xb0b86bd0>, 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 0xb0b86bd0>, 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 0xb0b86bd0>, 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 0xb0b86bd0>, 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 0xb0b86bd0>, 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 0xb0b86bd0>, 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 0xb0b86bd0>, 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 0xb0b86bd0>, 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 0xb0b86bd0>, 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 0xb0b86bd0>, 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 0xb0b86bd0>, 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 0xb0b86bd0>, 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 0xb0b86bd0>, 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 0xb0b86bd0>, 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 0xb0b86bd0>, 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 0xb0b86bd0>, 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 0xb0b86bd0>, 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 0xb0b86bd0>, 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 0xb0b86bd0>, 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 0xb0b86bd0>, 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 0xb0b86bd0>, 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 0xb0b86bd0>, 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 0xb0b86bd0>, 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 0xb0b86bd0>, 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 0xb0b86bd0>, 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 0xb0b86bd0>, 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 0xb0b86bd0>, 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 0xb0b86bd0>, 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 0xb0b86bd0>, 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 0xb0b86bd0>, 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 0xb0b86bd0>, 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 0xb0b86bd0>, 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 0xb0b86bd0>, 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 0xb0b86bd0>, 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 0xb0b86bd0>, 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 0xb0b86bd0>, 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 0xb0b86bd0>, 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 0xb0b86bd0>, 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 0xb0b86bd0>, 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 0xb0b86bd0>, 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 0xb0b86bd0>, 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 0xb0b86bd0>, 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 0xb0b86bd0>, 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 0xb0b86bd0>, 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 0xb0b86bd0>, 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 0xb0b86bd0>, 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 0xb0b86bd0>, 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 0xb0b86bd0>, 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 0xb0b86bd0>, 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 0xb0b86bd0>, 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 0xb0b86bd0>, 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 0xb0b86bd0>, 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 0xb0b86bd0>, 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 0xb0b86bd0>, 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 0xb0b86bd0>, 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 0xb0b86bd0>, 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 0xb0b86bd0>, 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 0xb0b86bd0>, 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 0xb0b86bd0>, 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 0xb0b86bd0>, 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 0xb0b86bd0>, 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 0xb0b86bd0>, 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 0xb0b86bd0>, 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 0xb0b86bd0>, 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 0xb0b86bd0>, 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 0xb0b86bd0>, 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 0xb0b86bd0>, 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 0xb0b86bd0>, 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 0xb0b86bd0>, 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 0xb0b86bd0>, 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 0xb0b86bd0>, 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 0xb0b86bd0>, 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 0xb0b86bd0>, 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 0xb0b86bd0>, 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 0xb0b86bd0>, 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 0xb0b86bd0>, 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 0xb0b86bd0>, 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 0xb0b86bd0>, 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 0xb0b86bd0>, 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 0xb0b86bd0>, 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 0xb0b86bd0>, 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 0xb0b86bd0>, 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 0xb0b86bd0>, 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 0xb0b86bd0>, 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 0xb0b86bd0>, 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 0xb0b86bd0>, 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 0xb0b86bd0>, 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 0xb0b86bd0>, 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 0xb0b86bd0>, 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 0xb0b86bd0>, 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 0xb0b86bd0>, 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 0xb0b86bd0>, 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 0xb0b86bd0>, 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 0xb0b86bd0>, 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 0xb0b86bd0>, 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 0xb0b86bd0>, 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 0xb0b86bd0>, 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 0xb0b86bd0>, 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 0xb0b86bd0>, 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 0xb0b86bd0>, 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 0xb0b86bd0>, 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 0xb0b86bd0>, 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 0xb0b86bd0>, 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 0xb0b86bd0>, 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 0xb0b86bd0>, 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 0xb0b86bd0>, 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 0xb0b86bd0>, 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 0xb0b86bd0>, 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 0xb0b86bd0>, 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 0xb0b86bd0>, 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 0xb0b86bd0>, 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 0xb0b86bd0>, 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 0xb0b86bd0>, 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 0xb0b86bd0>, 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 0xb0b86bd0>, 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 0xb0b86bd0>, 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 0xb0b86bd0>, 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 0xb0b86bd0>, 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 0xb0b86bd0>, 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 0xb0b86bd0>, 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 0xb0b86bd0>, 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 0xb0b86bd0>, 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 0xb0b86bd0>, 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 0xb0b86bd0>, 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 0xb0b86bd0>, 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 0xb0b86bd0>, 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 0xb0b86bd0>, 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 0xb0b86bd0>, 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 0xb0b86bd0>, 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 0xb0b86bd0>, 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 0xb0b86bd0>, 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 0xb0b86bd0>, 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 0xb0b86bd0>, 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 0xb0b86bd0>, 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 0xb0b86bd0>, 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 0xb0b86bd0>, 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 0xb0b86bd0>, 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 0xb0b86bd0>, 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 0xb0b86bd0>, 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 0xb0b86bd0>, 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 0xb0b86bd0>, 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., ... 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 , ... 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 , ... 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., ... 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 , ... 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 , ... 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:2524: RuntimeWarning: underflow encountered in multiply
result = 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], ... 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 ... 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 ... 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 ... 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 ... 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:4016: 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:2909: 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 ... 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_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 sparse_random_matrix at 0xb350b420>,) ... ok
sklearn.tests.test_random_projection.test_basic_property_of_random_matrix(<function sparse_random_matrix at 0xb350b420>,) ... ok
sklearn.tests.test_random_projection.test_basic_property_of_random_matrix(<function sparse_random_matrix at 0xb350b420>,) ... ok
sklearn.tests.test_random_projection.test_basic_property_of_random_matrix(<function gaussian_random_matrix at 0xb350b3d8>,) ... ok
sklearn.tests.test_random_projection.test_basic_property_of_random_matrix(<function gaussian_random_matrix at 0xb350b3d8>,) ... ok
sklearn.tests.test_random_projection.test_basic_property_of_random_matrix(<function gaussian_random_matrix at 0xb350b3d8>,) ... ok
sklearn.tests.test_random_projection.test_basic_property_of_random_matrix(<function sparse_random_matrix at 0xb350b420>,) ... ok
sklearn.tests.test_random_projection.test_basic_property_of_random_matrix(<function test_basic_property_of_random_matrix.<locals>.<lambda> at 0xaf180810>,) ... 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 8014 tests in 3320.385s
OK (SKIP=74)
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 11474: ordinal not in range(128)) ... ERROR
Failure: UnicodeDecodeError ('ascii' codec can't decode byte 0xc3 in position 2723: 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 11474: 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 11474: ordinal not in range(128)
======================================================================
ERROR: Failure: UnicodeDecodeError ('ascii' codec can't decode byte 0xc3 in position 2723: 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 2723: 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 3.837s
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:322: renaming _isotonic.so to _isotonic.arm-linux-gnueabihf.so
I: dh_python2 fs:322: renaming _check_build.so to _check_build.arm-linux-gnueabihf.so
I: dh_python2 fs:322: renaming _dbscan_inner.so to _dbscan_inner.arm-linux-gnueabihf.so
I: dh_python2 fs:322: renaming _hierarchical.so to _hierarchical.arm-linux-gnueabihf.so
I: dh_python2 fs:322: renaming _k_means.so to _k_means.arm-linux-gnueabihf.so
I: dh_python2 fs:322: renaming _k_means_elkan.so to _k_means_elkan.arm-linux-gnueabihf.so
I: dh_python2 fs:322: renaming _svmlight_format.so to _svmlight_format.arm-linux-gnueabihf.so
I: dh_python2 fs:322: renaming _online_lda.so to _online_lda.arm-linux-gnueabihf.so
I: dh_python2 fs:322: renaming cdnmf_fast.so to cdnmf_fast.arm-linux-gnueabihf.so
I: dh_python2 fs:322: renaming _gradient_boosting.so to _gradient_boosting.arm-linux-gnueabihf.so
I: dh_python2 fs:322: renaming _hashing.so to _hashing.arm-linux-gnueabihf.so
I: dh_python2 fs:322: renaming cd_fast.so to cd_fast.arm-linux-gnueabihf.so
I: dh_python2 fs:322: renaming sag_fast.so to sag_fast.arm-linux-gnueabihf.so
I: dh_python2 fs:322: renaming sgd_fast.so to sgd_fast.arm-linux-gnueabihf.so
I: dh_python2 fs:322: renaming _barnes_hut_tsne.so to _barnes_hut_tsne.arm-linux-gnueabihf.so
I: dh_python2 fs:322: renaming _utils.so to _utils.arm-linux-gnueabihf.so
I: dh_python2 fs:322: renaming pairwise_fast.so to pairwise_fast.arm-linux-gnueabihf.so
I: dh_python2 fs:322: renaming expected_mutual_info_fast.so to expected_mutual_info_fast.arm-linux-gnueabihf.so
I: dh_python2 fs:322: renaming ball_tree.so to ball_tree.arm-linux-gnueabihf.so
I: dh_python2 fs:322: renaming dist_metrics.so to dist_metrics.arm-linux-gnueabihf.so
I: dh_python2 fs:322: renaming kd_tree.so to kd_tree.arm-linux-gnueabihf.so
I: dh_python2 fs:322: renaming quad_tree.so to quad_tree.arm-linux-gnueabihf.so
I: dh_python2 fs:322: renaming typedefs.so to typedefs.arm-linux-gnueabihf.so
I: dh_python2 fs:322: renaming liblinear.so to liblinear.arm-linux-gnueabihf.so
I: dh_python2 fs:322: renaming libsvm.so to libsvm.arm-linux-gnueabihf.so
I: dh_python2 fs:322: renaming libsvm_sparse.so to libsvm_sparse.arm-linux-gnueabihf.so
I: dh_python2 fs:322: renaming _criterion.so to _criterion.arm-linux-gnueabihf.so
I: dh_python2 fs:322: renaming _splitter.so to _splitter.arm-linux-gnueabihf.so
I: dh_python2 fs:322: renaming _tree.so to _tree.arm-linux-gnueabihf.so
I: dh_python2 fs:322: renaming _utils.so to _utils.arm-linux-gnueabihf.so
I: dh_python2 fs:322: renaming _logistic_sigmoid.so to _logistic_sigmoid.arm-linux-gnueabihf.so
I: dh_python2 fs:322: renaming _random.so to _random.arm-linux-gnueabihf.so
I: dh_python2 fs:322: renaming arrayfuncs.so to arrayfuncs.arm-linux-gnueabihf.so
I: dh_python2 fs:322: renaming fast_dict.so to fast_dict.arm-linux-gnueabihf.so
I: dh_python2 fs:322: renaming graph_shortest_path.so to graph_shortest_path.arm-linux-gnueabihf.so
I: dh_python2 fs:322: renaming lgamma.so to lgamma.arm-linux-gnueabihf.so
I: dh_python2 fs:322: renaming murmurhash.so to murmurhash.arm-linux-gnueabihf.so
I: dh_python2 fs:322: renaming seq_dataset.so to seq_dataset.arm-linux-gnueabihf.so
I: dh_python2 fs:322: renaming sparsefuncs_fast.so to sparsefuncs_fast.arm-linux-gnueabihf.so
I: dh_python2 fs:322: renaming weight_vector.so to weight_vector.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' in '../python-sklearn-lib_0.19.1-2_armhf.deb'.
dpkg-deb: building package 'python3-sklearn-lib-dbgsym' in '../python3-sklearn-lib-dbgsym_0.19.1-2_armhf.deb'.
dpkg-deb: building package 'python3-sklearn-lib' in '../python3-sklearn-lib_0.19.1-2_armhf.deb'.
dpkg-deb: building package 'python-sklearn-lib-dbgsym' in '../python-sklearn-lib-dbgsym_0.19.1-2_armhf.deb'.
dpkg-genbuildinfo --build=any
dpkg-genchanges --build=any -mRaspbian wandboard test autobuilder <root@raspbian.org> >../scikit-learn_0.19.1-2_armhf.changes
dpkg-genchanges: info: binary-only arch-specific upload (source code and arch-indep packages not included)
dpkg-source --after-build scikit-learn-0.19.1
dpkg-buildpackage: info: binary-only upload (no source included)
--------------------------------------------------------------------------------
Build finished at 2017-12-11T17:31:54Z
Finished
--------
I: Built successfully
+------------------------------------------------------------------------------+
| Post Build Chroot |
+------------------------------------------------------------------------------+
+------------------------------------------------------------------------------+
| Changes |
+------------------------------------------------------------------------------+
scikit-learn_0.19.1-2_armhf.changes:
------------------------------------
Format: 1.8
Date: Mon, 04 Dec 2017 22:42:37 -0500
Source: scikit-learn
Binary: python-sklearn python-sklearn-lib python3-sklearn python3-sklearn-lib python-sklearn-doc python-scikits-learn
Architecture: armhf
Version: 0.19.1-2
Distribution: buster-staging
Urgency: medium
Maintainer: Raspbian wandboard test autobuilder <root@raspbian.org>
Changed-By: Yaroslav Halchenko <debian@onerussian.com>
Description:
python-scikits-learn - transitional compatibility package for scikits.learn -> sklearn m
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: 883473
Changes:
scikit-learn (0.19.1-2) unstable; urgency=medium
.
* debian/patches/deb_precisionloss
- to mitigate a minor failing unittest on BE platforms
(Closes: #883473)
* debian/control
- boosted policy to 4.1.2 (if something to be done, report a bug)
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Files:
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5bc1a11936944f2835ef55069c09c4d9 6063980 debug optional python3-sklearn-lib-dbgsym_0.19.1-2_armhf.deb
e980eebd92a0b1b4c0cc69f5757b9105 1237016 python optional python3-sklearn-lib_0.19.1-2_armhf.deb
3a3840c666f4a0e7e6ecf2dd51fe973c 9566 python optional scikit-learn_0.19.1-2_armhf.buildinfo
+------------------------------------------------------------------------------+
| Package contents |
+------------------------------------------------------------------------------+
python-sklearn-lib-dbgsym_0.19.1-2_armhf.deb
--------------------------------------------
new Debian package, version 2.0.
size 5746572 bytes: control archive=2352 bytes.
1978 bytes, 12 lines control
4240 bytes, 40 lines md5sums
Package: python-sklearn-lib-dbgsym
Source: scikit-learn
Version: 0.19.1-2
Auto-Built-Package: debug-symbols
Architecture: armhf
Maintainer: NeuroDebian Team <team@neuro.debian.net>
Installed-Size: 6661
Depends: python-sklearn-lib (= 0.19.1-2)
Section: debug
Priority: optional
Description: debug symbols for python-sklearn-lib
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lrwxrwxrwx root/root 0 2017-12-05 03:42 ./usr/share/doc/python-sklearn-lib-dbgsym -> python-sklearn-lib
python-sklearn-lib_0.19.1-2_armhf.deb
-------------------------------------
new Debian package, version 2.0.
size 1329384 bytes: control archive=2092 bytes.
742 bytes, 17 lines control
5094 bytes, 45 lines md5sums
Package: python-sklearn-lib
Source: scikit-learn
Version: 0.19.1-2
Architecture: armhf
Maintainer: NeuroDebian Team <team@neuro.debian.net>
Installed-Size: 6405
Depends: libc6 (>= 2.4), libgcc1 (>= 1:3.5), libstdc++6 (>= 5.2), python-numpy (>= 1:1.13.1), 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.
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python3-sklearn-lib-dbgsym_0.19.1-2_armhf.deb
---------------------------------------------
new Debian package, version 2.0.
size 6063980 bytes: control archive=2356 bytes.
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4240 bytes, 40 lines md5sums
Package: python3-sklearn-lib-dbgsym
Source: scikit-learn
Version: 0.19.1-2
Auto-Built-Package: debug-symbols
Architecture: armhf
Maintainer: NeuroDebian Team <team@neuro.debian.net>
Installed-Size: 6937
Depends: python3-sklearn-lib (= 0.19.1-2)
Section: debug
Priority: optional
Description: debug symbols for python3-sklearn-lib
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lrwxrwxrwx root/root 0 2017-12-05 03:42 ./usr/share/doc/python3-sklearn-lib-dbgsym -> python3-sklearn-lib
python3-sklearn-lib_0.19.1-2_armhf.deb
--------------------------------------
new Debian package, version 2.0.
size 1237016 bytes: control archive=2096 bytes.
660 bytes, 16 lines control
5499 bytes, 45 lines md5sums
Package: python3-sklearn-lib
Source: scikit-learn
Version: 0.19.1-2
Architecture: armhf
Maintainer: NeuroDebian Team <team@neuro.debian.net>
Installed-Size: 5907
Depends: libc6 (>= 2.4), libgcc1 (>= 1:3.5), libstdc++6 (>= 5.2), python3-numpy (>= 1:1.13.1), 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.
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| Summary |
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Build Architecture: armhf
Build-Space: 342252
Build-Time: 11091
Distribution: buster-staging
Host Architecture: armhf
Install-Time: 1545
Job: scikit-learn_0.19.1-2
Machine Architecture: armhf
Package: scikit-learn
Package-Time: 12688
Source-Version: 0.19.1-2
Space: 342252
Status: successful
Version: 0.19.1-2
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Finished at 2017-12-11T17:31:54Z
Build needed 03:31:28, 342252k disc space