scikit-learn →
0.17.1-2 →
armhf → 2016-04-14 14:03:52
sbuild (Debian sbuild) 0.66.0 (04 Oct 2015) on testbuildd.raspbian.org
+==============================================================================+
| scikit-learn 0.17.1-2 (armhf) 14 Apr 2016 11:59 |
+==============================================================================+
Package: scikit-learn
Version: 0.17.1-2
Source Version: 0.17.1-2
Distribution: stretch-staging
Machine Architecture: armhf
Host Architecture: armhf
Build Architecture: armhf
I: NOTICE: Log filtering will replace 'build/scikit-learn-Jrv_cT/scikit-learn-0.17.1' with '<<PKGBUILDDIR>>'
I: NOTICE: Log filtering will replace 'build/scikit-learn-Jrv_cT' with '<<BUILDDIR>>'
I: NOTICE: Log filtering will replace 'var/lib/schroot/mount/stretch-staging-armhf-sbuild-7d506bb4-2226-4668-bb0d-e66a5cb4a7f7' with '<<CHROOT>>'
+------------------------------------------------------------------------------+
| Update chroot |
+------------------------------------------------------------------------------+
Get:1 http://172.17.0.1/private stretch-staging InRelease [11.3 kB]
Get:2 http://172.17.0.1/private stretch-staging/main Sources [8909 kB]
Get:3 http://172.17.0.1/private stretch-staging/main armhf Packages [11.0 MB]
Fetched 19.9 MB in 23s (834 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 7864 kB of source archives.
Get:1 http://172.17.0.1/private stretch-staging/main scikit-learn 0.17.1-2 (dsc) [2748 B]
Get:2 http://172.17.0.1/private stretch-staging/main scikit-learn 0.17.1-2 (tar) [7845 kB]
Get:3 http://172.17.0.1/private stretch-staging/main scikit-learn 0.17.1-2 (diff) [16.7 kB]
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Download complete and in download only mode
Check architectures
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Check dependencies
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Merged Build-Depends: build-essential, fakeroot
Filtered Build-Depends: build-essential, fakeroot
dpkg-deb: building package 'sbuild-build-depends-core-dummy' in '/<<BUILDDIR>>/resolver-XKa47y/apt_archive/sbuild-build-depends-core-dummy.deb'.
OK
Get:1 file:/<<BUILDDIR>>/resolver-XKa47y/apt_archive ./ InRelease
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Get:3 file:/<<BUILDDIR>>/resolver-XKa47y/apt_archive ./ Release.gpg [299 B]
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Get:4 file:/<<BUILDDIR>>/resolver-XKa47y/apt_archive ./ Sources [214 B]
Get:5 file:/<<BUILDDIR>>/resolver-XKa47y/apt_archive ./ Packages [529 B]
Reading package lists...
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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 52 not upgraded.
Need to get 0 B/762 B of archives.
After this operation, 0 B of additional disk space will be used.
Get:1 file:/<<BUILDDIR>>/resolver-XKa47y/apt_archive ./ sbuild-build-depends-core-dummy 0.invalid.0 [762 B]
debconf: delaying package configuration, since apt-utils is not installed
Selecting previously unselected package sbuild-build-depends-core-dummy.
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(Reading database ... 12648 files and directories currently installed.)
Preparing to unpack .../sbuild-build-depends-core-dummy.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
Merged Build-Depends: debhelper (>= 7.0.50), dh-autoreconf, python-all-dev (>= 2.6.6-3~), dh-python, cython (>= 0.12~), python-setuptools, python-numpy, python-scipy, python-nose, python-matplotlib, python-joblib (>= 0.9.2), python3-all-dev, cython3, python3-setuptools, python3-numpy, python3-scipy, python3-nose, python3-matplotlib, python3-joblib (>= 0.9.2), libsvm-dev (>= 2.84.0), libatlas3-base
Filtered Build-Depends: debhelper (>= 7.0.50), dh-autoreconf, python-all-dev (>= 2.6.6-3~), dh-python, cython (>= 0.12~), python-setuptools, python-numpy, python-scipy, python-nose, python-matplotlib, python-joblib (>= 0.9.2), python3-all-dev, cython3, python3-setuptools, python3-numpy, python3-scipy, python3-nose, 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-wO0BoW/apt_archive/sbuild-build-depends-scikit-learn-dummy.deb'.
OK
Get:1 file:/<<BUILDDIR>>/resolver-wO0BoW/apt_archive ./ InRelease
Ign:1 file:/<<BUILDDIR>>/resolver-wO0BoW/apt_archive ./ InRelease
Get:2 file:/<<BUILDDIR>>/resolver-wO0BoW/apt_archive ./ Release [2119 B]
Get:2 file:/<<BUILDDIR>>/resolver-wO0BoW/apt_archive ./ Release [2119 B]
Get:3 file:/<<BUILDDIR>>/resolver-wO0BoW/apt_archive ./ Release.gpg [299 B]
Get:3 file:/<<BUILDDIR>>/resolver-wO0BoW/apt_archive ./ Release.gpg [299 B]
Get:4 file:/<<BUILDDIR>>/resolver-wO0BoW/apt_archive ./ Sources [350 B]
Get:5 file:/<<BUILDDIR>>/resolver-wO0BoW/apt_archive ./ Packages [669 B]
Reading package lists...
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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-5 cython cython3
debhelper dh-autoreconf dh-python dh-strip-nondeterminism file fontconfig
fontconfig-config fonts-lyx g++-5 gcc-5 gcc-5-base gettext gettext-base
groff-base intltool-debian libarchive-zip-perl libasan2 libatk1.0-0
libatk1.0-data libatlas3-base libatomic1 libavahi-client3
libavahi-common-data libavahi-common3 libblas-common libblas3 libbsd0
libcairo2 libcc1-0 libcroco3 libcups2 libdatrie1 libexpat1 libexpat1-dev
libffi6 libfile-stripnondeterminism-perl libfontconfig1 libfreetype6
libgcc-5-dev libgcc1 libgdk-pixbuf2.0-0 libgdk-pixbuf2.0-common libgfortran3
libglib2.0-0 libgnutls30 libgomp1 libgraphite2-3 libgssapi-krb5-2
libgtk2.0-0 libgtk2.0-common libharfbuzz0b libhogweed4 libicu55 libidn11
libjbig0 libjpeg62-turbo libjs-jquery libjs-jquery-ui libk5crypto3
libkeyutils1 libkrb5-3 libkrb5support0 liblapack3 libmagic1 libmpdec2
libnettle6 libp11-kit0 libpango-1.0-0 libpangocairo-1.0-0 libpangoft2-1.0-0
libpipeline1 libpixman-1-0 libpng16-16 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
libpython3.4-minimal libpython3.4-stdlib libpython3.5 libpython3.5-dev
libpython3.5-minimal libpython3.5-stdlib libsigsegv2 libsqlite3-0
libssl1.0.2 libstdc++-5-dev libstdc++6 libsvm-dev libsvm3 libtasn1-6
libtcl8.6 libthai-data libthai0 libtiff5 libtimedate-perl libtk8.6 libtool
libubsan0 libunistring0 libx11-6 libx11-data libxau6 libxcb-render0
libxcb-shm0 libxcb1 libxcomposite1 libxcursor1 libxdamage1 libxdmcp6
libxext6 libxfixes3 libxft2 libxi6 libxinerama1 libxml2 libxrandr2
libxrender1 libxss1 m4 man-db mime-support po-debconf python python-all
python-all-dev python-cycler python-dateutil python-decorator python-dev
python-joblib python-matplotlib python-matplotlib-data python-minimal
python-nose python-numpy python-pkg-resources python-pyparsing python-scipy
python-setuptools python-six 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-pyparsing python3-scipy python3-setuptools
python3-six python3-tz python3.4 python3.4-minimal python3.5 python3.5-dev
python3.5-minimal shared-mime-info ttf-bitstream-vera ucf x11-common
Suggested packages:
autoconf-archive gnu-standards autoconf-doc wamerican | wordlist whois
vacation gcc-5-locales cython-doc dh-make gcc-5-doc libstdc++6-5-dbg
libgcc1-dbg libgomp1-dbg libitm1-dbg libatomic1-dbg libasan2-dbg
liblsan0-dbg libtsan0-dbg libubsan0-dbg libcilkrts5-dbg libmpx0-dbg
libquadmath0-dbg gettext-doc libasprintf-dev libgettextpo-dev groff
cups-common gnutls-bin krb5-doc krb5-user librsvg2-common gvfs
libjs-jquery-ui-docs libstdc++-5-doc tcl8.6 tk8.6 libtool-doc gfortran
| fortran95-compiler gcj-jdk less www-browser libmail-box-perl python-doc
python-tk 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 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 python3.4-venv python3.4-doc
python3.5-venv python3.5-doc
Recommended packages:
curl | wget | lynx-cur libglib2.0-data xdg-user-dirs hicolor-icon-theme
libgtk2.0-bin javascript-common krb5-locales libltdl-dev xml-core
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 groff-base intltool-debian
libarchive-zip-perl libatk1.0-0 libatk1.0-data libatlas3-base
libavahi-client3 libavahi-common-data libavahi-common3 libblas-common
libblas3 libbsd0 libcairo2 libcroco3 libcups2 libdatrie1 libexpat1
libexpat1-dev libffi6 libfile-stripnondeterminism-perl libfontconfig1
libfreetype6 libgdk-pixbuf2.0-0 libgdk-pixbuf2.0-common libgfortran3
libglib2.0-0 libgnutls30 libgraphite2-3 libgssapi-krb5-2 libgtk2.0-0
libgtk2.0-common libharfbuzz0b libhogweed4 libicu55 libidn11 libjbig0
libjpeg62-turbo libjs-jquery libjs-jquery-ui libk5crypto3 libkeyutils1
libkrb5-3 libkrb5support0 liblapack3 libmagic1 libmpdec2 libnettle6
libp11-kit0 libpango-1.0-0 libpangocairo-1.0-0 libpangoft2-1.0-0
libpipeline1 libpixman-1-0 libpng16-16 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
libpython3.4-minimal libpython3.4-stdlib libpython3.5 libpython3.5-dev
libpython3.5-minimal libpython3.5-stdlib libsigsegv2 libsqlite3-0
libssl1.0.2 libsvm-dev libsvm3 libtasn1-6 libtcl8.6 libthai-data libthai0
libtiff5 libtimedate-perl libtk8.6 libtool libunistring0 libx11-6
libx11-data libxau6 libxcb-render0 libxcb-shm0 libxcb1 libxcomposite1
libxcursor1 libxdamage1 libxdmcp6 libxext6 libxfixes3 libxft2 libxi6
libxinerama1 libxml2 libxrandr2 libxrender1 libxss1 m4 man-db mime-support
po-debconf python python-all python-all-dev python-cycler python-dateutil
python-decorator python-dev python-joblib python-matplotlib
python-matplotlib-data python-minimal python-nose python-numpy
python-pkg-resources python-pyparsing python-scipy python-setuptools
python-six 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-pyparsing python3-scipy python3-setuptools python3-six python3-tz
python3.4 python3.4-minimal python3.5 python3.5-dev python3.5-minimal
sbuild-build-depends-scikit-learn-dummy shared-mime-info ttf-bitstream-vera
ucf x11-common
The following packages will be upgraded:
cpp-5 g++-5 gcc-5 gcc-5-base libasan2 libatomic1 libcc1-0 libgcc-5-dev
libgcc1 libgomp1 libstdc++-5-dev libstdc++6 libubsan0
13 upgraded, 174 newly installed, 0 to remove and 39 not upgraded.
Need to get 227 MB/227 MB of archives.
After this operation, 446 MB of additional disk space will be used.
Get:1 file:/<<BUILDDIR>>/resolver-wO0BoW/apt_archive ./ sbuild-build-depends-scikit-learn-dummy 0.invalid.0 [906 B]
Get:2 http://172.17.0.1/private stretch-staging/main armhf libgomp1 armhf 5.3.1-13 [47.3 kB]
Get:3 http://172.17.0.1/private stretch-staging/main armhf libatomic1 armhf 5.3.1-13 [6562 B]
Get:4 http://172.17.0.1/private stretch-staging/main armhf gcc-5-base armhf 5.3.1-13 [170 kB]
Get:5 http://172.17.0.1/private stretch-staging/main armhf libgcc1 armhf 1:5.3.1-13 [38.5 kB]
Get:6 http://172.17.0.1/private stretch-staging/main armhf libasan2 armhf 5.3.1-13 [227 kB]
Get:7 http://172.17.0.1/private stretch-staging/main armhf libubsan0 armhf 5.3.1-13 [84.3 kB]
Get:8 http://172.17.0.1/private stretch-staging/main armhf cpp-5 armhf 5.3.1-13 [22.9 MB]
Get:9 http://172.17.0.1/private stretch-staging/main armhf libcc1-0 armhf 5.3.1-13 [24.8 kB]
Get:10 http://172.17.0.1/private stretch-staging/main armhf g++-5 armhf 5.3.1-13 [24.5 MB]
Get:11 http://172.17.0.1/private stretch-staging/main armhf gcc-5 armhf 5.3.1-13 [22.9 MB]
Get:12 http://172.17.0.1/private stretch-staging/main armhf libgcc-5-dev armhf 5.3.1-13 [450 kB]
Get:13 http://172.17.0.1/private stretch-staging/main armhf libstdc++-5-dev armhf 5.3.1-13 [1431 kB]
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Get:15 http://172.17.0.1/private stretch-staging/main armhf groff-base armhf 1.22.3-7 [1083 kB]
Get:16 http://172.17.0.1/private stretch-staging/main armhf libbsd0 armhf 0.8.2-1 [88.0 kB]
Get:17 http://172.17.0.1/private stretch-staging/main armhf bsdmainutils armhf 9.0.10 [177 kB]
Get:18 http://172.17.0.1/private stretch-staging/main armhf libpipeline1 armhf 1.4.1-2 [23.7 kB]
Get:19 http://172.17.0.1/private stretch-staging/main armhf man-db armhf 2.7.5-1 [975 kB]
Get:20 http://172.17.0.1/private stretch-staging/main armhf libpython2.7-minimal armhf 2.7.11-7 [381 kB]
Get:21 http://172.17.0.1/private stretch-staging/main armhf python2.7-minimal armhf 2.7.11-7 [1160 kB]
Get:22 http://172.17.0.1/private stretch-staging/main armhf python-minimal armhf 2.7.11-1 [40.0 kB]
Get:23 http://172.17.0.1/private stretch-staging/main armhf mime-support all 3.59 [36.4 kB]
Get:24 http://172.17.0.1/private stretch-staging/main armhf libexpat1 armhf 2.1.1-1 [60.4 kB]
Get:25 http://172.17.0.1/private stretch-staging/main armhf libffi6 armhf 3.2.1-4 [18.5 kB]
Get:26 http://172.17.0.1/private stretch-staging/main armhf libsqlite3-0 armhf 3.11.1-1 [457 kB]
Get:27 http://172.17.0.1/private stretch-staging/main armhf libssl1.0.2 armhf 1.0.2g-1 [886 kB]
Get:28 http://172.17.0.1/private stretch-staging/main armhf libpython2.7-stdlib armhf 2.7.11-7 [1818 kB]
Get:29 http://172.17.0.1/private stretch-staging/main armhf python2.7 armhf 2.7.11-7 [268 kB]
Get:30 http://172.17.0.1/private stretch-staging/main armhf libpython-stdlib armhf 2.7.11-1 [19.5 kB]
Get:31 http://172.17.0.1/private stretch-staging/main armhf python armhf 2.7.11-1 [150 kB]
Get:32 http://172.17.0.1/private stretch-staging/main armhf libfreetype6 armhf 2.6.3-3 [384 kB]
Get:33 http://172.17.0.1/private stretch-staging/main armhf ucf all 3.0036 [70.2 kB]
Get:34 http://172.17.0.1/private stretch-staging/main armhf ttf-bitstream-vera all 1.10-8 [352 kB]
Get:35 http://172.17.0.1/private stretch-staging/main armhf fontconfig-config all 2.11.0-6.4 [271 kB]
Get:36 http://172.17.0.1/private stretch-staging/main armhf libfontconfig1 armhf 2.11.0-6.4 [313 kB]
Get:37 http://172.17.0.1/private stretch-staging/main armhf fontconfig armhf 2.11.0-6.4 [401 kB]
Get:38 http://172.17.0.1/private stretch-staging/main armhf libjbig0 armhf 2.1-3.1 [27.5 kB]
Get:39 http://172.17.0.1/private stretch-staging/main armhf libunistring0 armhf 0.9.3-5.2 [253 kB]
Get:40 http://172.17.0.1/private stretch-staging/main armhf libxau6 armhf 1:1.0.8-1 [19.9 kB]
Get:41 http://172.17.0.1/private stretch-staging/main armhf libxdmcp6 armhf 1:1.1.2-1.1 [24.9 kB]
Get:42 http://172.17.0.1/private stretch-staging/main armhf libxcb1 armhf 1.11.1-1 [40.9 kB]
Get:43 http://172.17.0.1/private stretch-staging/main armhf libx11-data all 2:1.6.3-1 [128 kB]
Get:44 http://172.17.0.1/private stretch-staging/main armhf libx11-6 armhf 2:1.6.3-1 [678 kB]
Get:45 http://172.17.0.1/private stretch-staging/main armhf libxcomposite1 armhf 1:0.4.4-1 [16.8 kB]
Get:46 http://172.17.0.1/private stretch-staging/main armhf libxext6 armhf 2:1.3.3-1 [48.1 kB]
Get:47 http://172.17.0.1/private stretch-staging/main armhf libxrender1 armhf 1:0.9.9-2 [28.9 kB]
Get:48 http://172.17.0.1/private stretch-staging/main armhf libxft2 armhf 2.3.2-1 [48.3 kB]
Get:49 http://172.17.0.1/private stretch-staging/main armhf x11-common all 1:7.7+14 [251 kB]
Get:50 http://172.17.0.1/private stretch-staging/main armhf libxss1 armhf 1:1.2.2-1 [16.8 kB]
Get:51 http://172.17.0.1/private stretch-staging/main armhf libpython3.5-minimal armhf 3.5.1-5 [553 kB]
Get:52 http://172.17.0.1/private stretch-staging/main armhf python3.5-minimal armhf 3.5.1-5 [1333 kB]
Get:53 http://172.17.0.1/private stretch-staging/main armhf python3-minimal armhf 3.5.1-3 [35.2 kB]
Get:54 http://172.17.0.1/private stretch-staging/main armhf libmpdec2 armhf 2.4.2-1 [67.5 kB]
Get:55 http://172.17.0.1/private stretch-staging/main armhf libpython3.5-stdlib armhf 3.5.1-5 [2063 kB]
Get:56 http://172.17.0.1/private stretch-staging/main armhf python3.5 armhf 3.5.1-5 [194 kB]
Get:57 http://172.17.0.1/private stretch-staging/main armhf libpython3-stdlib armhf 3.5.1-3 [18.6 kB]
Get:58 http://172.17.0.1/private stretch-staging/main armhf dh-python all 2.20151103 [76.9 kB]
Get:59 http://172.17.0.1/private stretch-staging/main armhf python3 armhf 3.5.1-3 [21.6 kB]
Get:60 http://172.17.0.1/private stretch-staging/main armhf libpython3.4-minimal armhf 3.4.4-2 [494 kB]
Get:61 http://172.17.0.1/private stretch-staging/main armhf python3.4-minimal armhf 3.4.4-2 [1268 kB]
Get:62 http://172.17.0.1/private stretch-staging/main armhf libmagic1 armhf 1:5.25-2 [250 kB]
Get:63 http://172.17.0.1/private stretch-staging/main armhf file armhf 1:5.25-2 [61.2 kB]
Get:64 http://172.17.0.1/private stretch-staging/main armhf gettext-base armhf 0.19.7-2 [111 kB]
Get:65 http://172.17.0.1/private stretch-staging/main armhf libnettle6 armhf 3.2-1 [202 kB]
Get:66 http://172.17.0.1/private stretch-staging/main armhf libhogweed4 armhf 3.2-1 [126 kB]
Get:67 http://172.17.0.1/private stretch-staging/main armhf libidn11 armhf 1.32-3 [110 kB]
Get:68 http://172.17.0.1/private stretch-staging/main armhf libp11-kit0 armhf 0.23.2-3 [93.3 kB]
Get:69 http://172.17.0.1/private stretch-staging/main armhf libtasn1-6 armhf 4.7-3 [44.4 kB]
Get:70 http://172.17.0.1/private stretch-staging/main armhf libgnutls30 armhf 3.4.10-4 [714 kB]
Get:71 http://172.17.0.1/private stretch-staging/main armhf libkeyutils1 armhf 1.5.9-8 [11.5 kB]
Get:72 http://172.17.0.1/private stretch-staging/main armhf libkrb5support0 armhf 1.13.2+dfsg-5 [56.6 kB]
Get:73 http://172.17.0.1/private stretch-staging/main armhf libk5crypto3 armhf 1.13.2+dfsg-5 [110 kB]
Get:74 http://172.17.0.1/private stretch-staging/main armhf libkrb5-3 armhf 1.13.2+dfsg-5 [259 kB]
Get:75 http://172.17.0.1/private stretch-staging/main armhf libgssapi-krb5-2 armhf 1.13.2+dfsg-5 [130 kB]
Get:76 http://172.17.0.1/private stretch-staging/main armhf libpython2.7 armhf 2.7.11-7 [908 kB]
Get:77 http://172.17.0.1/private stretch-staging/main armhf libicu55 armhf 55.1-7 [7380 kB]
Get:78 http://172.17.0.1/private stretch-staging/main armhf libxml2 armhf 2.9.3+dfsg1-1 [800 kB]
Get:79 http://172.17.0.1/private stretch-staging/main armhf libsigsegv2 armhf 2.10-5 [28.4 kB]
Get:80 http://172.17.0.1/private stretch-staging/main armhf m4 armhf 1.4.17-5 [239 kB]
Get:81 http://172.17.0.1/private stretch-staging/main armhf autoconf all 2.69-10 [338 kB]
Get:82 http://172.17.0.1/private stretch-staging/main armhf autotools-dev all 20150820.1 [71.7 kB]
Get:83 http://172.17.0.1/private stretch-staging/main armhf automake all 1:1.15-4 [735 kB]
Get:84 http://172.17.0.1/private stretch-staging/main armhf autopoint all 0.19.7-2 [424 kB]
Get:85 http://172.17.0.1/private stretch-staging/main armhf cython armhf 0.23.4+git4-g7eed8d8-1 [1446 kB]
Get:86 http://172.17.0.1/private stretch-staging/main armhf cython3 armhf 0.23.4+git4-g7eed8d8-1 [1453 kB]
Get:87 http://172.17.0.1/private stretch-staging/main armhf libglib2.0-0 armhf 2.48.0-1 [2540 kB]
Get:88 http://172.17.0.1/private stretch-staging/main armhf libcroco3 armhf 0.6.11-1 [131 kB]
Get:89 http://172.17.0.1/private stretch-staging/main armhf gettext armhf 0.19.7-2 [1400 kB]
Get:90 http://172.17.0.1/private stretch-staging/main armhf intltool-debian all 0.35.0+20060710.4 [26.3 kB]
Get:91 http://172.17.0.1/private stretch-staging/main armhf po-debconf all 1.0.19 [249 kB]
Get:92 http://172.17.0.1/private stretch-staging/main armhf libarchive-zip-perl all 1.57-1 [95.1 kB]
Get:93 http://172.17.0.1/private stretch-staging/main armhf libfile-stripnondeterminism-perl all 0.016-1 [11.9 kB]
Get:94 http://172.17.0.1/private stretch-staging/main armhf libtimedate-perl all 2.3000-2 [42.2 kB]
Get:95 http://172.17.0.1/private stretch-staging/main armhf dh-strip-nondeterminism all 0.016-1 [6998 B]
Get:96 http://172.17.0.1/private stretch-staging/main armhf libtool all 2.4.6-0.1 [200 kB]
Get:97 http://172.17.0.1/private stretch-staging/main armhf dh-autoreconf all 12 [15.8 kB]
Get:98 http://172.17.0.1/private stretch-staging/main armhf debhelper all 9.20160403 [800 kB]
Get:99 http://172.17.0.1/private stretch-staging/main armhf fonts-lyx all 2.1.4-2 [202 kB]
Get:100 http://172.17.0.1/private stretch-staging/main armhf libatk1.0-data all 2.20.0-1 [185 kB]
Get:101 http://172.17.0.1/private stretch-staging/main armhf libatk1.0-0 armhf 2.20.0-1 [85.0 kB]
Get:102 http://172.17.0.1/private stretch-staging/main armhf libgfortran3 armhf 5.3.1-13 [153 kB]
Get:103 http://172.17.0.1/private stretch-staging/main armhf libblas-common armhf 3.6.0-2 [13.5 kB]
Get:104 http://172.17.0.1/private stretch-staging/main armhf libatlas3-base armhf 3.10.2-9+rpi1 [1896 kB]
Get:105 http://172.17.0.1/private stretch-staging/main armhf libavahi-common-data armhf 0.6.32~rc+dfsg-1 [99.5 kB]
Get:106 http://172.17.0.1/private stretch-staging/main armhf libavahi-common3 armhf 0.6.32~rc+dfsg-1 [48.1 kB]
Get:107 http://172.17.0.1/private stretch-staging/main armhf libavahi-client3 armhf 0.6.32~rc+dfsg-1 [50.7 kB]
Get:108 http://172.17.0.1/private stretch-staging/main armhf libblas3 armhf 3.6.0-2 [110 kB]
Get:109 http://172.17.0.1/private stretch-staging/main armhf libpixman-1-0 armhf 0.33.6-1 [454 kB]
Get:110 http://172.17.0.1/private stretch-staging/main armhf libxcb-render0 armhf 1.11.1-1 [17.0 kB]
Get:111 http://172.17.0.1/private stretch-staging/main armhf libxcb-shm0 armhf 1.11.1-1 [11.5 kB]
Get:112 http://172.17.0.1/private stretch-staging/main armhf libcairo2 armhf 1.14.6-1 [688 kB]
Get:113 http://172.17.0.1/private stretch-staging/main armhf libcups2 armhf 2.1.3-5 [267 kB]
Get:114 http://172.17.0.1/private stretch-staging/main armhf libdatrie1 armhf 0.2.10-2 [32.5 kB]
Get:115 http://172.17.0.1/private stretch-staging/main armhf libexpat1-dev armhf 2.1.1-1 [117 kB]
Get:116 http://172.17.0.1/private stretch-staging/main armhf libjpeg62-turbo armhf 1:1.4.2-2 [104 kB]
Get:117 http://172.17.0.1/private stretch-staging/main armhf libpng16-16 armhf 1.6.21-2 [256 kB]
Get:118 http://172.17.0.1/private stretch-staging/main armhf libtiff5 armhf 4.0.6-1 [201 kB]
Get:119 http://172.17.0.1/private stretch-staging/main armhf shared-mime-info armhf 1.5-2 [669 kB]
Get:120 http://172.17.0.1/private stretch-staging/main armhf libgdk-pixbuf2.0-common all 2.32.3-2 [311 kB]
Get:121 http://172.17.0.1/private stretch-staging/main armhf libgdk-pixbuf2.0-0 armhf 2.32.3-2 [145 kB]
Get:122 http://172.17.0.1/private stretch-staging/main armhf libgraphite2-3 armhf 1.3.8-1 [62.5 kB]
Get:123 http://172.17.0.1/private stretch-staging/main armhf libgtk2.0-common all 2.24.30-1.1 [2688 kB]
Get:124 http://172.17.0.1/private stretch-staging/main armhf libthai-data all 0.1.24-2 [163 kB]
Get:125 http://172.17.0.1/private stretch-staging/main armhf libthai0 armhf 0.1.24-2 [46.6 kB]
Get:126 http://172.17.0.1/private stretch-staging/main armhf libpango-1.0-0 armhf 1.38.1-1 [292 kB]
Get:127 http://172.17.0.1/private stretch-staging/main armhf libharfbuzz0b armhf 1.0.1-1+b1 [501 kB]
Get:128 http://172.17.0.1/private stretch-staging/main armhf libpangoft2-1.0-0 armhf 1.38.1-1 [229 kB]
Get:129 http://172.17.0.1/private stretch-staging/main armhf libpangocairo-1.0-0 armhf 1.38.1-1 [218 kB]
Get:130 http://172.17.0.1/private stretch-staging/main armhf libxfixes3 armhf 1:5.0.1-2+b2 [19.9 kB]
Get:131 http://172.17.0.1/private stretch-staging/main armhf libxcursor1 armhf 1:1.1.14-1+b1 [31.9 kB]
Get:132 http://172.17.0.1/private stretch-staging/main armhf libxdamage1 armhf 1:1.1.4-2+b1 [14.1 kB]
Get:133 http://172.17.0.1/private stretch-staging/main armhf libxi6 armhf 2:1.7.6-1 [75.9 kB]
Get:134 http://172.17.0.1/private stretch-staging/main armhf libxinerama1 armhf 2:1.1.3-1+b1 [16.4 kB]
Get:135 http://172.17.0.1/private stretch-staging/main armhf libxrandr2 armhf 2:1.5.0-1 [33.3 kB]
Get:136 http://172.17.0.1/private stretch-staging/main armhf libgtk2.0-0 armhf 2.24.30-1.1 [1511 kB]
Get:137 http://172.17.0.1/private stretch-staging/main armhf libjs-jquery all 1.11.3+dfsg-4 [163 kB]
Get:138 http://172.17.0.1/private stretch-staging/main armhf libjs-jquery-ui all 1.10.1+dfsg-1 [499 kB]
Get:139 http://172.17.0.1/private stretch-staging/main armhf liblapack3 armhf 3.6.0-2 [1382 kB]
Get:140 http://172.17.0.1/private stretch-staging/main armhf libpython2.7-dev armhf 2.7.11-7 [27.1 MB]
Get:141 http://172.17.0.1/private stretch-staging/main armhf libpython-dev armhf 2.7.11-1 [19.6 kB]
Get:142 http://172.17.0.1/private stretch-staging/main armhf libpython-all-dev armhf 2.7.11-1 [958 B]
Get:143 http://172.17.0.1/private stretch-staging/main armhf libpython3.5 armhf 3.5.1-5 [1160 kB]
Get:144 http://172.17.0.1/private stretch-staging/main armhf libpython3.5-dev armhf 3.5.1-5 [36.4 MB]
Get:145 http://172.17.0.1/private stretch-staging/main armhf libpython3-dev armhf 3.5.1-3 [18.7 kB]
Get:146 http://172.17.0.1/private stretch-staging/main armhf libpython3-all-dev armhf 3.5.1-3 [964 B]
Get:147 http://172.17.0.1/private stretch-staging/main armhf libpython3.4-stdlib armhf 3.4.4-2 [2061 kB]
Get:148 http://172.17.0.1/private stretch-staging/main armhf libsvm3 armhf 3.12-1.1 [34.9 kB]
Get:149 http://172.17.0.1/private stretch-staging/main armhf libsvm-dev armhf 3.12-1.1 [37.7 kB]
Get:150 http://172.17.0.1/private stretch-staging/main armhf libtcl8.6 armhf 8.6.5+dfsg-2 [862 kB]
Get:151 http://172.17.0.1/private stretch-staging/main armhf libtk8.6 armhf 8.6.5-1 [657 kB]
Get:152 http://172.17.0.1/private stretch-staging/main armhf python-all armhf 2.7.11-1 [940 B]
Get:153 http://172.17.0.1/private stretch-staging/main armhf python2.7-dev armhf 2.7.11-7 [279 kB]
Get:154 http://172.17.0.1/private stretch-staging/main armhf python-dev armhf 2.7.11-1 [1138 B]
Get:155 http://172.17.0.1/private stretch-staging/main armhf python-all-dev armhf 2.7.11-1 [962 B]
Get:156 http://172.17.0.1/private stretch-staging/main armhf python-six all 1.10.0-2 [14.2 kB]
Get:157 http://172.17.0.1/private stretch-staging/main armhf python-cycler all 0.9.0-1 [5348 B]
Get:158 http://172.17.0.1/private stretch-staging/main armhf python-dateutil all 2.4.2-1 [42.6 kB]
Get:159 http://172.17.0.1/private stretch-staging/main armhf python-decorator all 4.0.6-1 [12.7 kB]
Get:160 http://172.17.0.1/private stretch-staging/main armhf python-joblib all 0.9.4-1 [81.1 kB]
Get:161 http://172.17.0.1/private stretch-staging/main armhf python-matplotlib-data all 1.5.1-1 [2904 kB]
Get:162 http://172.17.0.1/private stretch-staging/main armhf python-pyparsing all 2.0.3+dfsg1-1 [64.0 kB]
Get:163 http://172.17.0.1/private stretch-staging/main armhf python-tz all 2015.7+dfsg-0.1 [33.6 kB]
Get:164 http://172.17.0.1/private stretch-staging/main armhf python-numpy armhf 1:1.10.4-2 [1551 kB]
Get:165 http://172.17.0.1/private stretch-staging/main armhf python-matplotlib armhf 1.5.1-1 [4360 kB]
Get:166 http://172.17.0.1/private stretch-staging/main armhf python-pkg-resources all 18.8-1 [100 kB]
Get:167 http://172.17.0.1/private stretch-staging/main armhf python-nose all 1.3.7-1 [132 kB]
Get:168 http://172.17.0.1/private stretch-staging/main armhf python-setuptools all 18.8-1 [202 kB]
Get:169 http://172.17.0.1/private stretch-staging/main armhf python3-all armhf 3.5.1-3 [940 B]
Get:170 http://172.17.0.1/private stretch-staging/main armhf python3.5-dev armhf 3.5.1-5 [418 kB]
Get:171 http://172.17.0.1/private stretch-staging/main armhf python3-dev armhf 3.5.1-3 [1154 B]
Get:172 http://172.17.0.1/private stretch-staging/main armhf python3-all-dev armhf 3.5.1-3 [962 B]
Get:173 http://172.17.0.1/private stretch-staging/main armhf python3-six all 1.10.0-2 [14.2 kB]
Get:174 http://172.17.0.1/private stretch-staging/main armhf python3-cycler all 0.9.0-1 [5466 B]
Get:175 http://172.17.0.1/private stretch-staging/main armhf python3-dateutil all 2.4.2-1 [39.2 kB]
Get:176 http://172.17.0.1/private stretch-staging/main armhf python3-decorator all 4.0.6-1 [12.8 kB]
Get:177 http://172.17.0.1/private stretch-staging/main armhf python3-joblib all 0.9.4-1 [78.4 kB]
Get:178 http://172.17.0.1/private stretch-staging/main armhf python3-pyparsing all 2.0.3+dfsg1-1 [64.1 kB]
Get:179 http://172.17.0.1/private stretch-staging/main armhf python3-tz all 2015.7+dfsg-0.1 [26.7 kB]
Get:180 http://172.17.0.1/private stretch-staging/main armhf python3.4 armhf 3.4.4-2 [229 kB]
Get:181 http://172.17.0.1/private stretch-staging/main armhf python3-numpy armhf 1:1.10.4-2 [1644 kB]
Get:182 http://172.17.0.1/private stretch-staging/main armhf python3-matplotlib armhf 1.5.1-1 [4356 kB]
Get:183 http://172.17.0.1/private stretch-staging/main armhf python3-pkg-resources all 18.8-1 [71.1 kB]
Get:184 http://172.17.0.1/private stretch-staging/main armhf python3-nose all 1.3.7-1 [132 kB]
Get:185 http://172.17.0.1/private stretch-staging/main armhf python3-setuptools all 18.8-1 [120 kB]
Get:186 http://172.17.0.1/private stretch-staging/main armhf python-scipy armhf 0.17.0-1 [7841 kB]
Get:187 http://172.17.0.1/private stretch-staging/main armhf python3-scipy armhf 0.17.0-1 [8101 kB]
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W: No sandbox user '_apt' on the system, can not drop privileges
+------------------------------------------------------------------------------+
| Build environment |
+------------------------------------------------------------------------------+
Kernel: Linux 3.19.0-trunk-armmp armhf (armv7l)
Toolchain package versions: binutils_2.26-5 dpkg-dev_1.18.4 g++-5_5.3.1-13 gcc-5_5.3.1-13 libc6-dev_2.22-3 libstdc++-5-dev_5.3.1-13 libstdc++6_5.3.1-13 linux-libc-dev_3.18.5-1~exp1+rpi19+stretch
Package versions: adduser_3.114 apt_1.2.6 autoconf_2.69-10 automake_1:1.15-4 autopoint_0.19.7-2 autotools-dev_20150820.1 base-files_9.5+rpi1 base-passwd_3.5.39 bash_4.3-14 binutils_2.26-5 bsdmainutils_9.0.10 bsdutils_1:2.27.1-6 build-essential_11.7 bzip2_1.0.6-8 coreutils_8.25-2 cpio_2.11+dfsg-5 cpp_4:5.3.1-1+rpi1 cpp-5_5.3.1-13 cython_0.23.4+git4-g7eed8d8-1 cython3_0.23.4+git4-g7eed8d8-1 dash_0.5.8-2.1 debconf_1.5.59 debfoster_2.7-2 debhelper_9.20160403 debianutils_4.7 dh-autoreconf_12 dh-python_2.20151103 dh-strip-nondeterminism_0.016-1 diffutils_1:3.3-3 dmsetup_2:1.02.116-1 dpkg_1.18.4 dpkg-dev_1.18.4 e2fslibs_1.42.13-1 e2fsprogs_1.42.13-1 fakeroot_1.20.2-1 file_1:5.25-2 findutils_4.6.0+git+20160126-2 fontconfig_2.11.0-6.4 fontconfig-config_2.11.0-6.4 fonts-lyx_2.1.4-2 g++_4:5.3.1-1+rpi1 g++-5_5.3.1-13 gcc_4:5.3.1-1+rpi1 gcc-4.6-base_4.6.4-5+rpi1 gcc-4.7-base_4.7.3-11+rpi1 gcc-4.8-base_4.8.5-4 gcc-4.9-base_4.9.3-12 gcc-5_5.3.1-13 gcc-5-base_5.3.1-13 gettext_0.19.7-2 gettext-base_0.19.7-2 gnupg_1.4.20-4 gpgv_1.4.20-4 grep_2.22-1 groff-base_1.22.3-7 gzip_1.6-4 hostname_3.17 init_1.29 init-system-helpers_1.29 initscripts_2.88dsf-59.3 insserv_1.14.0-5.3 intltool-debian_0.35.0+20060710.4 klibc-utils_2.0.4-8+rpi1 kmod_22-1 libacl1_2.2.52-3 libapparmor1_2.10-3 libapt-pkg5.0_1.2.6 libarchive-zip-perl_1.57-1 libasan2_5.3.1-13 libatk1.0-0_2.20.0-1 libatk1.0-data_2.20.0-1 libatlas3-base_3.10.2-9+rpi1 libatomic1_5.3.1-13 libattr1_1:2.4.47-2 libaudit-common_1:2.4.5-1 libaudit1_1:2.4.5-1 libavahi-client3_0.6.32~rc+dfsg-1 libavahi-common-data_0.6.32~rc+dfsg-1 libavahi-common3_0.6.32~rc+dfsg-1 libblas-common_3.6.0-2 libblas3_3.6.0-2 libblkid1_2.27.1-6 libbsd0_0.8.2-1 libbz2-1.0_1.0.6-8 libc-bin_2.22-3 libc-dev-bin_2.22-3 libc6_2.22-3 libc6-dev_2.22-3 libcairo2_1.14.6-1 libcap2_1:2.24-12 libcap2-bin_1:2.24-12 libcc1-0_5.3.1-13 libcomerr2_1.42.13-1 libcroco3_0.6.11-1 libcryptsetup4_2:1.7.0-2 libcups2_2.1.3-5 libdatrie1_0.2.10-2 libdb5.3_5.3.28-11 libdbus-1-3_1.10.8-1 libdebconfclient0_0.207 libdevmapper1.02.1_2:1.02.116-1 libdpkg-perl_1.18.4 libdrm2_2.4.67-1 libexpat1_2.1.1-1 libexpat1-dev_2.1.1-1 libfakeroot_1.20.2-1 libfdisk1_2.27.1-6 libffi6_3.2.1-4 libfile-stripnondeterminism-perl_0.016-1 libfontconfig1_2.11.0-6.4 libfreetype6_2.6.3-3 libgc1c2_1:7.4.2-7.3 libgcc-5-dev_5.3.1-13 libgcc1_1:5.3.1-13 libgcrypt20_1.6.5-2 libgdbm3_1.8.3-13.1 libgdk-pixbuf2.0-0_2.32.3-2 libgdk-pixbuf2.0-common_2.32.3-2 libgfortran3_5.3.1-13 libglib2.0-0_2.48.0-1 libgmp10_2:6.1.0+dfsg-2 libgnutls30_3.4.10-4 libgomp1_5.3.1-13 libgpg-error0_1.21-2 libgraphite2-3_1.3.8-1 libgssapi-krb5-2_1.13.2+dfsg-5 libgtk2.0-0_2.24.30-1.1 libgtk2.0-common_2.24.30-1.1 libharfbuzz0b_1.0.1-1+b1 libhogweed4_3.2-1 libicu55_55.1-7 libidn11_1.32-3 libisl15_0.16.1-1 libjbig0_2.1-3.1 libjpeg62-turbo_1:1.4.2-2 libjs-jquery_1.11.3+dfsg-4 libjs-jquery-ui_1.10.1+dfsg-1 libk5crypto3_1.13.2+dfsg-5 libkeyutils1_1.5.9-8 libklibc_2.0.4-8+rpi1 libkmod2_22-1 libkrb5-3_1.13.2+dfsg-5 libkrb5support0_1.13.2+dfsg-5 liblapack3_3.6.0-2 liblz4-1_0.0~r131-2 liblzma5_5.1.1alpha+20120614-2.1 libmagic1_1:5.25-2 libmount1_2.27.1-6 libmpc3_1.0.3-1 libmpdec2_2.4.2-1 libmpfr4_3.1.4-1 libncurses5_6.0+20160213-1 libncursesw5_6.0+20160213-1 libnettle6_3.2-1 libp11-kit0_0.23.2-3 libpam-modules_1.1.8-3.2 libpam-modules-bin_1.1.8-3.2 libpam-runtime_1.1.8-3.2 libpam0g_1.1.8-3.2 libpango-1.0-0_1.38.1-1 libpangocairo-1.0-0_1.38.1-1 libpangoft2-1.0-0_1.38.1-1 libpcre3_2:8.38-3 libperl5.22_5.22.1-9 libpipeline1_1.4.1-2 libpixman-1-0_0.33.6-1 libpng12-0_1.2.54-4 libpng16-16_1.6.21-2 libprocps5_2:3.3.11-3 libpython-all-dev_2.7.11-1 libpython-dev_2.7.11-1 libpython-stdlib_2.7.11-1 libpython2.7_2.7.11-7 libpython2.7-dev_2.7.11-7 libpython2.7-minimal_2.7.11-7 libpython2.7-stdlib_2.7.11-7 libpython3-all-dev_3.5.1-3 libpython3-dev_3.5.1-3 libpython3-stdlib_3.5.1-3 libpython3.4-minimal_3.4.4-2 libpython3.4-stdlib_3.4.4-2 libpython3.5_3.5.1-5 libpython3.5-dev_3.5.1-5 libpython3.5-minimal_3.5.1-5 libpython3.5-stdlib_3.5.1-5 libreadline6_6.3-8+b3 libseccomp2_2.2.3-3 libselinux1_2.4-3 libsemanage-common_2.4-3 libsemanage1_2.4-3 libsepol1_2.4-2 libsigsegv2_2.10-5 libsmartcols1_2.27.1-6 libsqlite3-0_3.11.1-1 libss2_1.42.13-1 libssl1.0.2_1.0.2g-1 libstdc++-5-dev_5.3.1-13 libstdc++6_5.3.1-13 libsvm-dev_3.12-1.1 libsvm3_3.12-1.1 libsystemd0_229-2 libtasn1-6_4.7-3 libtcl8.6_8.6.5+dfsg-2 libtext-charwidth-perl_0.04-7+b6 libtext-iconv-perl_1.7-5+b7 libtext-wrapi18n-perl_0.06-7.1 libthai-data_0.1.24-2 libthai0_0.1.24-2 libtiff5_4.0.6-1 libtimedate-perl_2.3000-2 libtinfo5_6.0+20160213-1 libtk8.6_8.6.5-1 libtool_2.4.6-0.1 libubsan0_5.3.1-13 libudev1_229-2 libunistring0_0.9.3-5.2 libusb-0.1-4_2:0.1.12-28 libustr-1.0-1_1.0.4-5 libuuid1_2.27.1-6 libx11-6_2:1.6.3-1 libx11-data_2:1.6.3-1 libxau6_1:1.0.8-1 libxcb-render0_1.11.1-1 libxcb-shm0_1.11.1-1 libxcb1_1.11.1-1 libxcomposite1_1:0.4.4-1 libxcursor1_1:1.1.14-1+b1 libxdamage1_1:1.1.4-2+b1 libxdmcp6_1:1.1.2-1.1 libxext6_2:1.3.3-1 libxfixes3_1:5.0.1-2+b2 libxft2_2.3.2-1 libxi6_2:1.7.6-1 libxinerama1_2:1.1.3-1+b1 libxml2_2.9.3+dfsg1-1 libxrandr2_2:1.5.0-1 libxrender1_1:0.9.9-2 libxss1_1:1.2.2-1 linux-libc-dev_3.18.5-1~exp1+rpi19+stretch login_1:4.2-3.1 lsb-base_9.20160110+rpi1 m4_1.4.17-5 make_4.1-6 makedev_2.3.1-93 man-db_2.7.5-1 manpages_4.04-2 mawk_1.3.3-17 mime-support_3.59 mount_2.27.1-6 multiarch-support_2.22-3 nano_2.5.3-2 ncurses-base_6.0+20160213-1 ncurses-bin_6.0+20160213-1 passwd_1:4.2-3.1 patch_2.7.5-1 perl_5.22.1-9 perl-base_5.22.1-9 perl-modules-5.22_5.22.1-9 po-debconf_1.0.19 procps_2:3.3.11-3 python_2.7.11-1 python-all_2.7.11-1 python-all-dev_2.7.11-1 python-cycler_0.9.0-1 python-dateutil_2.4.2-1 python-decorator_4.0.6-1 python-dev_2.7.11-1 python-joblib_0.9.4-1 python-matplotlib_1.5.1-1 python-matplotlib-data_1.5.1-1 python-minimal_2.7.11-1 python-nose_1.3.7-1 python-numpy_1:1.10.4-2 python-pkg-resources_18.8-1 python-pyparsing_2.0.3+dfsg1-1 python-scipy_0.17.0-1 python-setuptools_18.8-1 python-six_1.10.0-2 python-tz_2015.7+dfsg-0.1 python2.7_2.7.11-7 python2.7-dev_2.7.11-7 python2.7-minimal_2.7.11-7 python3_3.5.1-3 python3-all_3.5.1-3 python3-all-dev_3.5.1-3 python3-cycler_0.9.0-1 python3-dateutil_2.4.2-1 python3-decorator_4.0.6-1 python3-dev_3.5.1-3 python3-joblib_0.9.4-1 python3-matplotlib_1.5.1-1 python3-minimal_3.5.1-3 python3-nose_1.3.7-1 python3-numpy_1:1.10.4-2 python3-pkg-resources_18.8-1 python3-pyparsing_2.0.3+dfsg1-1 python3-scipy_0.17.0-1 python3-setuptools_18.8-1 python3-six_1.10.0-2 python3-tz_2015.7+dfsg-0.1 python3.4_3.4.4-2 python3.4-minimal_3.4.4-2 python3.5_3.5.1-5 python3.5-dev_3.5.1-5 python3.5-minimal_3.5.1-5 raspbian-archive-keyring_20120528.2 readline-common_6.3-8 sbuild-build-depends-core-dummy_0.invalid.0 sbuild-build-depends-scikit-learn-dummy_0.invalid.0 sed_4.2.2-7.1 sensible-utils_0.0.9 shared-mime-info_1.5-2 startpar_0.59-3 systemd_229-2 systemd-sysv_229-2 sysv-rc_2.88dsf-59.3 sysvinit-utils_2.88dsf-59.3 tar_1.28-2.1 ttf-bitstream-vera_1.10-8 tzdata_2016a-1 ucf_3.0036 udev_229-2 util-linux_2.27.1-6 x11-common_1:7.7+14 xz-utils_5.1.1alpha+20120614-2.1 zlib1g_1:1.2.8.dfsg-2+b1
+------------------------------------------------------------------------------+
| Build |
+------------------------------------------------------------------------------+
Unpack source
-------------
gpgv: keyblock resource `/sbuild-nonexistent/.gnupg/trustedkeys.gpg': file open error
gpgv: Signature made Fri Apr 8 14:01:03 2016 UTC using RSA key ID 62DA33FA
gpgv: Can't check signature: public key not found
dpkg-source: warning: failed to verify signature on ./scikit-learn_0.17.1-2.dsc
dpkg-source: info: extracting scikit-learn in scikit-learn-0.17.1
dpkg-source: info: unpacking scikit-learn_0.17.1.orig.tar.gz
dpkg-source: info: unpacking scikit-learn_0.17.1-2.debian.tar.xz
dpkg-source: info: applying changeset_07e34a70a9d8759362a354d6b1df0895c2b5acfa.diff
dpkg-source: info: applying changeset_c206603a3ebb616f26c96f375a060f9dda02889e.diff
dpkg-source: info: applying changeset_feb2bd95e7fad3a99a8e817cef9fabdf4284f515.diff
dpkg-source: info: applying deb_no_tinyclues_external_image
dpkg-source: info: applying deb_no_online_jquery
dpkg-source: info: applying deb_disable_google_anals
dpkg-source: info: applying up_workaround_buggy_pil
dpkg-source: info: applying deb_skip_some_tests_on_arm
dpkg-source: info: applying deb_use_system_joblib
dpkg-source: info: applying deb_no_google_analytics
dpkg-source: info: applying deb_git_revision_cmd
dpkg-source: info: applying deb_no_plot_gallery
dpkg-source: info: applying deb_optional_linkcode
dpkg-source: info: applying deb_nopaypal
dpkg-source: info: applying deb_tests_lower_precision
Check disc space
----------------
Sufficient free space for build
User Environment
----------------
DEB_BUILD_OPTIONS=parallel=4
HOME=/sbuild-nonexistent
LOGNAME=root
PATH=/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin:/usr/games
SCHROOT_ALIAS_NAME=stretch-staging-armhf-sbuild
SCHROOT_CHROOT_NAME=stretch-staging-armhf-sbuild
SCHROOT_COMMAND=env
SCHROOT_GID=111
SCHROOT_GROUP=buildd
SCHROOT_SESSION_ID=stretch-staging-armhf-sbuild-7d506bb4-2226-4668-bb0d-e66a5cb4a7f7
SCHROOT_UID=106
SCHROOT_USER=buildd
SHELL=/bin/sh
TERM=xterm
USER=buildd
dpkg-buildpackage
-----------------
dpkg-buildpackage: source package scikit-learn
dpkg-buildpackage: source version 0.17.1-2
dpkg-buildpackage: source distribution unstable
dpkg-source --before-build scikit-learn-0.17.1
dpkg-buildpackage: 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_testdir -O--buildsystem=python_distutils
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
find . -name \*.pyc -exec rm {} \+
dh_autoreconf_clean -O--buildsystem=python_distutils
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_testdir -a -O--buildsystem=python_distutils
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 -- cythonize
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' !
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' !
D: removing previously generated by Cython sources
find -iname *.c | xargs -r grep -l 'Generated by Cython' | xargs -r rm
make cython
make[3]: Entering directory '/<<PKGBUILDDIR>>'
find sklearn -name "*.pyx" -exec cython {} \;
warning: sklearn/datasets/_svmlight_format.pyx:32:14: Non-trivial type declarators in shared declaration (e.g. mix of pointers and values). Each pointer declaration should be on its own line.
warning: sklearn/datasets/_svmlight_format.pyx:32:25: Non-trivial type declarators in shared declaration (e.g. mix of pointers and values). Each pointer declaration should be on its own line.
warning: sklearn/utils/graph_shortest_path.pyx:382:23: Non-trivial type declarators in shared declaration (e.g. mix of pointers and values). Each pointer declaration should be on its own line.
warning: sklearn/utils/graph_shortest_path.pyx:382:34: Non-trivial type declarators in shared declaration (e.g. mix of pointers and values). Each pointer declaration should be on its own line.
warning: sklearn/utils/graph_shortest_path.pyx:382:43: Non-trivial type declarators in shared declaration (e.g. mix of pointers and values). Each pointer declaration should be on its own line.
warning: sklearn/utils/graph_shortest_path.pyx:403:23: Non-trivial type declarators in shared declaration (e.g. mix of pointers and values). Each pointer declaration should be on its own line.
warning: sklearn/utils/graph_shortest_path.pyx:403:30: Non-trivial type declarators in shared declaration (e.g. mix of pointers and values). Each pointer declaration should be on its own line.
warning: sklearn/utils/graph_shortest_path.pyx:403:43: Non-trivial type declarators in shared declaration (e.g. mix of pointers and values). Each pointer declaration should be on its own line.
warning: sklearn/utils/graph_shortest_path.pyx:498:23: Non-trivial type declarators in shared declaration (e.g. mix of pointers and values). Each pointer declaration should be on its own line.
warning: sklearn/utils/graph_shortest_path.pyx:498:27: Non-trivial type declarators in shared declaration (e.g. mix of pointers and values). Each pointer declaration should be on its own line.
warning: sklearn/utils/graph_shortest_path.pyx:562:23: Non-trivial type declarators in shared declaration (e.g. mix of pointers and values). Each pointer declaration should be on its own line.
warning: sklearn/utils/graph_shortest_path.pyx:562:27: Non-trivial type declarators in shared declaration (e.g. mix of pointers and values). Each pointer declaration should be on its own line.
make[3]: Leaving directory '/<<PKGBUILDDIR>>'
make[2]: Leaving directory '/<<PKGBUILDDIR>>'
make[1]: Leaving directory '/<<PKGBUILDDIR>>'
dh_auto_configure -a -O--buildsystem=python_distutils
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,vml,guide 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/atlas-base', '/usr/lib', '/usr/lib/arm-linux-gnueabihf']
NOT AVAILABLE
atlas_3_10_blas_info:
libraries satlas not found in ['/usr/local/lib', '/usr/lib/atlas-base', '/usr/lib', '/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/atlas-base', '/usr/lib', '/usr/lib/arm-linux-gnueabihf']
NOT AVAILABLE
atlas_blas_info:
libraries f77blas,cblas,atlas not found in ['/usr/local/lib', '/usr/lib/atlas-base', '/usr/lib', '/usr/lib/arm-linux-gnueabihf']
NOT AVAILABLE
/usr/lib/python2.7/dist-packages/numpy/distutils/system_info.py:1651: 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.
warnings.warn(AtlasNotFoundError.__doc__)
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:1660: 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__)
blas_src_info:
NOT AVAILABLE
/usr/lib/python2.7/dist-packages/numpy/distutils/system_info.py:1663: 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.
warnings.warn(BlasSrcNotFoundError.__doc__)
NOT AVAILABLE
sklearn/setup.py:67: 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__)
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.svm.libsvm" sources
building extension "sklearn.svm.liblinear" sources
building extension "sklearn.svm.libsvm_sparse" sources
building extension "sklearn.datasets._svmlight_format" sources
building extension "sklearn.feature_extraction._hashing" sources
building extension "sklearn.cluster._dbscan_inner" sources
building extension "sklearn.cluster._hierarchical" sources
building extension "sklearn.cluster._k_means" 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.utils.sparsetools._traversal" sources
building extension "sklearn.utils.sparsetools._graph_tools" 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 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.manifold._utils" sources
building extension "sklearn.manifold._barnes_hut_tsne" sources
building extension "sklearn.metrics.pairwise_fast" 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.metrics/cluster.expected_mutual_info_fast" 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.sparsetools._traversal" sources
building extension "sklearn.utils.sparsetools._graph_tools" 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/_build_utils.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/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/lda.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/naive_bayes.py -> build/lib.linux-armv7l-2.7/sklearn
copying sklearn/pipeline.py -> build/lib.linux-armv7l-2.7/sklearn
copying sklearn/qda.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/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/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/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_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/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/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/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/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
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/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_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
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_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/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/rfe.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
copying sklearn/feature_selection/univariate_selection.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_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
copying sklearn/feature_selection/tests/test_from_model.py -> build/lib.linux-armv7l-2.7/sklearn/feature_selection/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/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/_graph_validation.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/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_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/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/odict.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/mixture
copying sklearn/mixture/__init__.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/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_dpgmm.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/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/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
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/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/neural_network
copying sklearn/neural_network/__init__.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/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/_weights.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/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/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/metrics.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/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/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
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/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
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/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/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_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
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/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
copying sklearn/utils/sparsetools/__init__.py -> build/lib.linux-armv7l-2.7/sklearn/utils/sparsetools
copying sklearn/utils/sparsetools/_graph_validation.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/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_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_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_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_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
copying sklearn/tests/test_isotonic.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: c++ -pthread -DNDEBUG -g -fwrapv -O2 -Wall -fno-strict-aliasing -Wdate-time -D_FORTIFY_SOURCE=2 -g -fstack-protector-strong -Wformat -Werror=format-security -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'
c++: 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 -Wdate-time -D_FORTIFY_SOURCE=2 -g -fstack-protector-strong -Wformat -Werror=format-security -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:393:12: warning: 'ATL_AlignOffset' defined but not used [-Wunused-function]
static int ATL_AlignOffset
^
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)
^
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:393:12: warning: 'ATL_AlignOffset' defined but not used [-Wunused-function]
static int ATL_AlignOffset
^
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)
^
arm-linux-gnueabihf-gcc: sklearn/src/cblas/ATL_srefrotg.c
arm-linux-gnueabihf-gcc: sklearn/src/cblas/cblas_errprn.c
arm-linux-gnueabihf-gcc: sklearn/src/cblas/cblas_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' [-Wimplicit-function-declaration]
cblas_xerbla(info, "cblas_dger", "");
^
In file included from sklearn/src/cblas/cblas_dger.c:32:0:
sklearn/src/cblas/cblas_dger.c: At top level:
sklearn/src/cblas/atlas_misc.h:393:12: warning: 'ATL_AlignOffset' defined but not used [-Wunused-function]
static int ATL_AlignOffset
^
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)
^
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' [-Wimplicit-function-declaration]
cblas_xerbla(info, "cblas_dgemv", "");
^
In file included from sklearn/src/cblas/cblas_dgemv.c:32:0:
sklearn/src/cblas/cblas_dgemv.c: At top level:
sklearn/src/cblas/atlas_misc.h:393:12: warning: 'ATL_AlignOffset' defined but not used [-Wunused-function]
static int ATL_AlignOffset
^
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)
^
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:393:12: warning: 'ATL_AlignOffset' defined but not used [-Wunused-function]
static int ATL_AlignOffset
^
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)
^
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/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' [-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:
sklearn/src/cblas/cblas_dcopy.c: At top level:
sklearn/src/cblas/atlas_misc.h:393:12: warning: 'ATL_AlignOffset' defined but not used [-Wunused-function]
static int ATL_AlignOffset
^
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)
^
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:393:12: warning: 'ATL_AlignOffset' defined but not used [-Wunused-function]
static int ATL_AlignOffset
^
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)
^
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' [-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:
sklearn/src/cblas/cblas_scopy.c: At top level:
sklearn/src/cblas/atlas_misc.h:393:12: warning: 'ATL_AlignOffset' defined but not used [-Wunused-function]
static int ATL_AlignOffset
^
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)
^
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:393:12: warning: 'ATL_AlignOffset' defined but not used [-Wunused-function]
static int ATL_AlignOffset
^
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)
^
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/cblas_srot.c
In file included from sklearn/src/cblas/cblas_srot.c:32:0:
sklearn/src/cblas/atlas_misc.h:393:12: warning: 'ATL_AlignOffset' defined but not used [-Wunused-function]
static int ATL_AlignOffset
^
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)
^
arm-linux-gnueabihf-gcc: sklearn/src/cblas/ATL_drefcopy.c
arm-linux-gnueabihf-gcc-ar: adding 28 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 -Wdate-time -D_FORTIFY_SOURCE=2 -g -fstack-protector-strong -Wformat -Werror=format-security -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 -fstack-protector-strong -Wformat -Werror=format-security -Wl,-z,relro -Wdate-time -D_FORTIFY_SOURCE=2 -g -fstack-protector-strong -Wformat -Werror=format-security 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.svm.libsvm' extension
compiling C sources
C compiler: arm-linux-gnueabihf-gcc -pthread -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -fno-strict-aliasing -Wdate-time -D_FORTIFY_SOURCE=2 -g -fstack-protector-strong -Wformat -Werror=format-security -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:1781:0,
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:242:
/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 " \
^
c++ -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 -fstack-protector-strong -Wformat -Werror=format-security -Wl,-z,relro -Wdate-time -D_FORTIFY_SOURCE=2 -g -fstack-protector-strong -Wformat -Werror=format-security 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 -Wdate-time -D_FORTIFY_SOURCE=2 -g -fstack-protector-strong -Wformat -Werror=format-security -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/svm/liblinear.c
In file included from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarraytypes.h:1781:0,
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:242:
/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: c++ -pthread -DNDEBUG -g -fwrapv -O2 -Wall -fno-strict-aliasing -Wdate-time -D_FORTIFY_SOURCE=2 -g -fstack-protector-strong -Wformat -Werror=format-security -fPIC
creating build/temp.linux-armv7l-2.7/sklearn/svm/src/liblinear
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'
c++: 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:2361:6: warning: unused variable 'n_iter' [-Wunused-variable]
int n_iter;
^
c++: sklearn/svm/src/liblinear/tron.cpp
c++ -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 -fstack-protector-strong -Wformat -Werror=format-security -Wl,-z,relro -Wdate-time -D_FORTIFY_SOURCE=2 -g -fstack-protector-strong -Wformat -Werror=format-security 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 -Wdate-time -D_FORTIFY_SOURCE=2 -g -fstack-protector-strong -Wformat -Werror=format-security -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:1781:0,
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:242:
/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 " \
^
c++ -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 -fstack-protector-strong -Wformat -Werror=format-security -Wl,-z,relro -Wdate-time -D_FORTIFY_SOURCE=2 -g -fstack-protector-strong -Wformat -Werror=format-security 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.datasets._svmlight_format' extension
compiling C sources
C compiler: arm-linux-gnueabihf-gcc -pthread -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -fno-strict-aliasing -Wdate-time -D_FORTIFY_SOURCE=2 -g -fstack-protector-strong -Wformat -Werror=format-security -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:1781:0,
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:243:
/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 -fstack-protector-strong -Wformat -Werror=format-security -Wl,-z,relro -Wdate-time -D_FORTIFY_SOURCE=2 -g -fstack-protector-strong -Wformat -Werror=format-security 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.feature_extraction._hashing' extension
compiling C sources
C compiler: arm-linux-gnueabihf-gcc -pthread -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -fno-strict-aliasing -Wdate-time -D_FORTIFY_SOURCE=2 -g -fstack-protector-strong -Wformat -Werror=format-security -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:1781:0,
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:243:
/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 -fstack-protector-strong -Wformat -Werror=format-security -Wl,-z,relro -Wdate-time -D_FORTIFY_SOURCE=2 -g -fstack-protector-strong -Wformat -Werror=format-security 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.cluster._dbscan_inner' extension
compiling C++ sources
C compiler: c++ -pthread -DNDEBUG -g -fwrapv -O2 -Wall -fno-strict-aliasing -Wdate-time -D_FORTIFY_SOURCE=2 -g -fstack-protector-strong -Wformat -Werror=format-security -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'
c++: sklearn/cluster/_dbscan_inner.cpp
In file included from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarraytypes.h:1781:0,
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:255:
/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/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarrayobject.h:27:0,
from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/arrayobject.h:4,
from sklearn/cluster/_dbscan_inner.cpp:255:
/usr/lib/python2.7/dist-packages/numpy/core/include/numpy/__multiarray_api.h:1634:1: warning: 'int _import_array()' defined but not used [-Wunused-function]
_import_array(void)
^
c++ -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 -fstack-protector-strong -Wformat -Werror=format-security -Wl,-z,relro -Wdate-time -D_FORTIFY_SOURCE=2 -g -fstack-protector-strong -Wformat -Werror=format-security 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: c++ -pthread -DNDEBUG -g -fwrapv -O2 -Wall -fno-strict-aliasing -Wdate-time -D_FORTIFY_SOURCE=2 -g -fstack-protector-strong -Wformat -Werror=format-security -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'
c++: sklearn/cluster/_hierarchical.cpp
In file included from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarraytypes.h:1781:0,
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:314:
/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 " \
^
c++ -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 -fstack-protector-strong -Wformat -Werror=format-security -Wl,-z,relro -Wdate-time -D_FORTIFY_SOURCE=2 -g -fstack-protector-strong -Wformat -Werror=format-security 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' extension
compiling C sources
C compiler: arm-linux-gnueabihf-gcc -pthread -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -fno-strict-aliasing -Wdate-time -D_FORTIFY_SOURCE=2 -g -fstack-protector-strong -Wformat -Werror=format-security -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:1781:0,
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:243:
/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 -fstack-protector-strong -Wformat -Werror=format-security -Wl,-z,relro -Wdate-time -D_FORTIFY_SOURCE=2 -g -fstack-protector-strong -Wformat -Werror=format-security 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.decomposition._online_lda' extension
compiling C sources
C compiler: arm-linux-gnueabihf-gcc -pthread -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -fno-strict-aliasing -Wdate-time -D_FORTIFY_SOURCE=2 -g -fstack-protector-strong -Wformat -Werror=format-security -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:1781:0,
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:242:
/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 -fstack-protector-strong -Wformat -Werror=format-security -Wl,-z,relro -Wdate-time -D_FORTIFY_SOURCE=2 -g -fstack-protector-strong -Wformat -Werror=format-security 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 -Wdate-time -D_FORTIFY_SOURCE=2 -g -fstack-protector-strong -Wformat -Werror=format-security -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 -fstack-protector-strong -Wformat -Werror=format-security -Wl,-z,relro -Wdate-time -D_FORTIFY_SOURCE=2 -g -fstack-protector-strong -Wformat -Werror=format-security 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 -Wdate-time -D_FORTIFY_SOURCE=2 -g -fstack-protector-strong -Wformat -Werror=format-security -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:1781:0,
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:242:
/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 -fstack-protector-strong -Wformat -Werror=format-security -Wl,-z,relro -Wdate-time -D_FORTIFY_SOURCE=2 -g -fstack-protector-strong -Wformat -Werror=format-security 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.utils.sparsetools._traversal' extension
compiling C sources
C compiler: arm-linux-gnueabihf-gcc -pthread -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -fno-strict-aliasing -Wdate-time -D_FORTIFY_SOURCE=2 -g -fstack-protector-strong -Wformat -Werror=format-security -fPIC
creating build/temp.linux-armv7l-2.7/sklearn/utils
creating build/temp.linux-armv7l-2.7/sklearn/utils/sparsetools
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/sparsetools/_traversal.c
In file included from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarraytypes.h:1781:0,
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/sparsetools/_traversal.c:242:
/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/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarrayobject.h:27:0,
from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/arrayobject.h:4,
from sklearn/utils/sparsetools/_traversal.c:242:
/usr/lib/python2.7/dist-packages/numpy/core/include/numpy/__multiarray_api.h:1634:1: warning: '_import_array' defined but not used [-Wunused-function]
_import_array(void)
^
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 -fstack-protector-strong -Wformat -Werror=format-security -Wl,-z,relro -Wdate-time -D_FORTIFY_SOURCE=2 -g -fstack-protector-strong -Wformat -Werror=format-security build/temp.linux-armv7l-2.7/sklearn/utils/sparsetools/_traversal.o -Lbuild/temp.linux-armv7l-2.7 -o build/lib.linux-armv7l-2.7/sklearn/utils/sparsetools/_traversal.so
building 'sklearn.utils.sparsetools._graph_tools' extension
compiling C sources
C compiler: arm-linux-gnueabihf-gcc -pthread -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -fno-strict-aliasing -Wdate-time -D_FORTIFY_SOURCE=2 -g -fstack-protector-strong -Wformat -Werror=format-security -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/sparsetools/_graph_tools.c
In file included from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarraytypes.h:1781:0,
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/sparsetools/_graph_tools.c:242:
/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/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarrayobject.h:27:0,
from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/arrayobject.h:4,
from sklearn/utils/sparsetools/_graph_tools.c:242:
/usr/lib/python2.7/dist-packages/numpy/core/include/numpy/__multiarray_api.h:1634:1: warning: '_import_array' defined but not used [-Wunused-function]
_import_array(void)
^
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 -fstack-protector-strong -Wformat -Werror=format-security -Wl,-z,relro -Wdate-time -D_FORTIFY_SOURCE=2 -g -fstack-protector-strong -Wformat -Werror=format-security build/temp.linux-armv7l-2.7/sklearn/utils/sparsetools/_graph_tools.o -Lbuild/temp.linux-armv7l-2.7 -o build/lib.linux-armv7l-2.7/sklearn/utils/sparsetools/_graph_tools.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 -Wdate-time -D_FORTIFY_SOURCE=2 -g -fstack-protector-strong -Wformat -Werror=format-security -fPIC
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:1781:0,
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:242:
/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 -fstack-protector-strong -Wformat -Werror=format-security -Wl,-z,relro -Wdate-time -D_FORTIFY_SOURCE=2 -g -fstack-protector-strong -Wformat -Werror=format-security 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 -Wdate-time -D_FORTIFY_SOURCE=2 -g -fstack-protector-strong -Wformat -Werror=format-security -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/arrayfuncs.c
In file included from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarraytypes.h:1781:0,
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:242:
/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 -fstack-protector-strong -Wformat -Werror=format-security -Wl,-z,relro -Wdate-time -D_FORTIFY_SOURCE=2 -g -fstack-protector-strong -Wformat -Werror=format-security 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 -Wdate-time -D_FORTIFY_SOURCE=2 -g -fstack-protector-strong -Wformat -Werror=format-security -fPIC
compile options: '-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:1781:0,
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:242:
/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: c++ -pthread -DNDEBUG -g -fwrapv -O2 -Wall -fno-strict-aliasing -Wdate-time -D_FORTIFY_SOURCE=2 -g -fstack-protector-strong -Wformat -Werror=format-security -fPIC
creating build/temp.linux-armv7l-2.7/sklearn/utils/src
compile options: '-Isklearn/utils/src -I/usr/lib/python2.7/dist-packages/numpy/core/include -I/usr/include/python2.7 -c'
c++: sklearn/utils/src/MurmurHash3.cpp
c++ -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 -fstack-protector-strong -Wformat -Werror=format-security -Wl,-z,relro -Wdate-time -D_FORTIFY_SOURCE=2 -g -fstack-protector-strong -Wformat -Werror=format-security 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 -Wdate-time -D_FORTIFY_SOURCE=2 -g -fstack-protector-strong -Wformat -Werror=format-security -fPIC
compile options: '-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 -fstack-protector-strong -Wformat -Werror=format-security -Wl,-z,relro -Wdate-time -D_FORTIFY_SOURCE=2 -g -fstack-protector-strong -Wformat -Werror=format-security 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 -Wdate-time -D_FORTIFY_SOURCE=2 -g -fstack-protector-strong -Wformat -Werror=format-security -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:1781:0,
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:242:
/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 -fstack-protector-strong -Wformat -Werror=format-security -Wl,-z,relro -Wdate-time -D_FORTIFY_SOURCE=2 -g -fstack-protector-strong -Wformat -Werror=format-security 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: c++ -pthread -DNDEBUG -g -fwrapv -O2 -Wall -fno-strict-aliasing -Wdate-time -D_FORTIFY_SOURCE=2 -g -fstack-protector-strong -Wformat -Werror=format-security -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'
c++: sklearn/utils/fast_dict.cpp
In file included from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarraytypes.h:1781:0,
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:320:
/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:18786:44: warning: '__pyx_v_min_key' may be used uninitialized in this function [-Wmaybe-uninitialized]
return PyInt_FromLong((long)val);
^
sklearn/utils/fast_dict.cpp:3316:46: note: '__pyx_v_min_key' was declared here
__pyx_t_7sklearn_5utils_9fast_dict_ITYPE_t __pyx_v_min_key;
^
c++ -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 -fstack-protector-strong -Wformat -Werror=format-security -Wl,-z,relro -Wdate-time -D_FORTIFY_SOURCE=2 -g -fstack-protector-strong -Wformat -Werror=format-security 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 -Wdate-time -D_FORTIFY_SOURCE=2 -g -fstack-protector-strong -Wformat -Werror=format-security -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:1781:0,
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:242:
/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 -fstack-protector-strong -Wformat -Werror=format-security -Wl,-z,relro -Wdate-time -D_FORTIFY_SOURCE=2 -g -fstack-protector-strong -Wformat -Werror=format-security 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 -Wdate-time -D_FORTIFY_SOURCE=2 -g -fstack-protector-strong -Wformat -Werror=format-security -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:1781:0,
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:242:
/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 -fstack-protector-strong -Wformat -Werror=format-security -Wl,-z,relro -Wdate-time -D_FORTIFY_SOURCE=2 -g -fstack-protector-strong -Wformat -Werror=format-security 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 -Wdate-time -D_FORTIFY_SOURCE=2 -g -fstack-protector-strong -Wformat -Werror=format-security -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:1781:0,
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:242:
/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 -fstack-protector-strong -Wformat -Werror=format-security -Wl,-z,relro -Wdate-time -D_FORTIFY_SOURCE=2 -g -fstack-protector-strong -Wformat -Werror=format-security 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 -Wdate-time -D_FORTIFY_SOURCE=2 -g -fstack-protector-strong -Wformat -Werror=format-security -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:1781:0,
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:243:
/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/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarrayobject.h:27:0,
from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/arrayobject.h:4,
from sklearn/utils/_logistic_sigmoid.c:243:
/usr/lib/python2.7/dist-packages/numpy/core/include/numpy/__multiarray_api.h:1634:1: warning: '_import_array' defined but not used [-Wunused-function]
_import_array(void)
^
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 -fstack-protector-strong -Wformat -Werror=format-security -Wl,-z,relro -Wdate-time -D_FORTIFY_SOURCE=2 -g -fstack-protector-strong -Wformat -Werror=format-security 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
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 -Wdate-time -D_FORTIFY_SOURCE=2 -g -fstack-protector-strong -Wformat -Werror=format-security -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:1781:0,
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:242:
/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/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarrayobject.h:27:0,
from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/arrayobject.h:4,
from sklearn/neighbors/ball_tree.c:242:
/usr/lib/python2.7/dist-packages/numpy/core/include/numpy/__multiarray_api.h:1634:1: warning: '_import_array' defined but not used [-Wunused-function]
_import_array(void)
^
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 -fstack-protector-strong -Wformat -Werror=format-security -Wl,-z,relro -Wdate-time -D_FORTIFY_SOURCE=2 -g -fstack-protector-strong -Wformat -Werror=format-security 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 -Wdate-time -D_FORTIFY_SOURCE=2 -g -fstack-protector-strong -Wformat -Werror=format-security -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:1781:0,
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:242:
/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/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarrayobject.h:27:0,
from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/arrayobject.h:4,
from sklearn/neighbors/kd_tree.c:242:
/usr/lib/python2.7/dist-packages/numpy/core/include/numpy/__multiarray_api.h:1634:1: warning: '_import_array' defined but not used [-Wunused-function]
_import_array(void)
^
sklearn/neighbors/kd_tree.c: In function '__pyx_f_7sklearn_9neighbors_7kd_tree_10BinaryTree__recursive_build':
sklearn/neighbors/kd_tree.c:21026:49: 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 -fstack-protector-strong -Wformat -Werror=format-security -Wl,-z,relro -Wdate-time -D_FORTIFY_SOURCE=2 -g -fstack-protector-strong -Wformat -Werror=format-security 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 -Wdate-time -D_FORTIFY_SOURCE=2 -g -fstack-protector-strong -Wformat -Werror=format-security -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:1781:0,
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:242:
/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:6384:85: 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_filename = __pyx_f[1]; __pyx_lineno = 462; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
^
sklearn/neighbors/dist_metrics.c:6183:54: 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:7177:84: 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_filename = __pyx_f[1]; __pyx_lineno = 551; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
^
sklearn/neighbors/dist_metrics.c:7095:54: 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:7880:85: 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_filename = __pyx_f[1]; __pyx_lineno = 610; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
^
sklearn/neighbors/dist_metrics.c:7689:54: 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:8708:86: 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_filename = __pyx_f[1]; __pyx_lineno = 680; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
^
sklearn/neighbors/dist_metrics.c:8462:54: 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 -fstack-protector-strong -Wformat -Werror=format-security -Wl,-z,relro -Wdate-time -D_FORTIFY_SOURCE=2 -g -fstack-protector-strong -Wformat -Werror=format-security 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 -Wdate-time -D_FORTIFY_SOURCE=2 -g -fstack-protector-strong -Wformat -Werror=format-security -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:1781:0,
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:242:
/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/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarrayobject.h:27:0,
from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/arrayobject.h:4,
from sklearn/neighbors/typedefs.c:242:
/usr/lib/python2.7/dist-packages/numpy/core/include/numpy/__multiarray_api.h:1634:1: warning: '_import_array' defined but not used [-Wunused-function]
_import_array(void)
^
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 -fstack-protector-strong -Wformat -Werror=format-security -Wl,-z,relro -Wdate-time -D_FORTIFY_SOURCE=2 -g -fstack-protector-strong -Wformat -Werror=format-security 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.manifold._utils' extension
compiling C sources
C compiler: arm-linux-gnueabihf-gcc -pthread -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -fno-strict-aliasing -Wdate-time -D_FORTIFY_SOURCE=2 -g -fstack-protector-strong -Wformat -Werror=format-security -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:1781:0,
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:243:
/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/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarrayobject.h:27:0,
from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/arrayobject.h:4,
from sklearn/manifold/_utils.c:243:
/usr/lib/python2.7/dist-packages/numpy/core/include/numpy/__multiarray_api.h:1634:1: warning: '_import_array' defined but not used [-Wunused-function]
_import_array(void)
^
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 -fstack-protector-strong -Wformat -Werror=format-security -Wl,-z,relro -Wdate-time -D_FORTIFY_SOURCE=2 -g -fstack-protector-strong -Wformat -Werror=format-security 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 -Wdate-time -D_FORTIFY_SOURCE=2 -g -fstack-protector-strong -Wformat -Werror=format-security -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:1781:0,
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:243:
/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/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarrayobject.h:27:0,
from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/arrayobject.h:4,
from sklearn/manifold/_barnes_hut_tsne.c:243:
/usr/lib/python2.7/dist-packages/numpy/core/include/numpy/__multiarray_api.h:1634:1: warning: '_import_array' defined but not used [-Wunused-function]
_import_array(void)
^
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 -fstack-protector-strong -Wformat -Werror=format-security -Wl,-z,relro -Wdate-time -D_FORTIFY_SOURCE=2 -g -fstack-protector-strong -Wformat -Werror=format-security 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 -Wdate-time -D_FORTIFY_SOURCE=2 -g -fstack-protector-strong -Wformat -Werror=format-security -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:1781:0,
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:242:
/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 -fstack-protector-strong -Wformat -Werror=format-security -Wl,-z,relro -Wdate-time -D_FORTIFY_SOURCE=2 -g -fstack-protector-strong -Wformat -Werror=format-security 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.tree._tree' extension
compiling C sources
C compiler: arm-linux-gnueabihf-gcc -pthread -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -fno-strict-aliasing -Wdate-time -D_FORTIFY_SOURCE=2 -g -fstack-protector-strong -Wformat -Werror=format-security -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:1781:0,
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:242:
/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:11017:36: warning: passing argument 1 of '(PyObject * (*)(PyTypeObject *, PyArray_Descr *, int, npy_intp *, npy_intp *, void *, int, PyObject *))*(PyArray_API + 376u)' 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_filename = __pyx_f[0]; __pyx_lineno = 937; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
^
sklearn/tree/_tree.c:11017:36: 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 -fstack-protector-strong -Wformat -Werror=format-security -Wl,-z,relro -Wdate-time -D_FORTIFY_SOURCE=2 -g -fstack-protector-strong -Wformat -Werror=format-security 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 -Wdate-time -D_FORTIFY_SOURCE=2 -g -fstack-protector-strong -Wformat -Werror=format-security -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:1781:0,
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:242:
/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 -fstack-protector-strong -Wformat -Werror=format-security -Wl,-z,relro -Wdate-time -D_FORTIFY_SOURCE=2 -g -fstack-protector-strong -Wformat -Werror=format-security 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 -Wdate-time -D_FORTIFY_SOURCE=2 -g -fstack-protector-strong -Wformat -Werror=format-security -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:1781:0,
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:242:
/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 -fstack-protector-strong -Wformat -Werror=format-security -Wl,-z,relro -Wdate-time -D_FORTIFY_SOURCE=2 -g -fstack-protector-strong -Wformat -Werror=format-security 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 -Wdate-time -D_FORTIFY_SOURCE=2 -g -fstack-protector-strong -Wformat -Werror=format-security -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:1781:0,
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:242:
/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 -fstack-protector-strong -Wformat -Werror=format-security -Wl,-z,relro -Wdate-time -D_FORTIFY_SOURCE=2 -g -fstack-protector-strong -Wformat -Werror=format-security 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.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 -Wdate-time -D_FORTIFY_SOURCE=2 -g -fstack-protector-strong -Wformat -Werror=format-security -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:1781:0,
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:243:
/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 -fstack-protector-strong -Wformat -Werror=format-security -Wl,-z,relro -Wdate-time -D_FORTIFY_SOURCE=2 -g -fstack-protector-strong -Wformat -Werror=format-security 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._isotonic' extension
compiling C sources
C compiler: arm-linux-gnueabihf-gcc -pthread -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -fno-strict-aliasing -Wdate-time -D_FORTIFY_SOURCE=2 -g -fstack-protector-strong -Wformat -Werror=format-security -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:1781:0,
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:242:
/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 -fstack-protector-strong -Wformat -Werror=format-security -Wl,-z,relro -Wdate-time -D_FORTIFY_SOURCE=2 -g -fstack-protector-strong -Wformat -Werror=format-security 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 -Wdate-time -D_FORTIFY_SOURCE=2 -g -fstack-protector-strong -Wformat -Werror=format-security -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:1781:0,
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:243:
/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 -fstack-protector-strong -Wformat -Werror=format-security -Wl,-z,relro -Wdate-time -D_FORTIFY_SOURCE=2 -g -fstack-protector-strong -Wformat -Werror=format-security 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 -Wdate-time -D_FORTIFY_SOURCE=2 -g -fstack-protector-strong -Wformat -Werror=format-security -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/linear_model/sgd_fast.c
In file included from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarraytypes.h:1781:0,
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:243:
/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 -fstack-protector-strong -Wformat -Werror=format-security -Wl,-z,relro -Wdate-time -D_FORTIFY_SOURCE=2 -g -fstack-protector-strong -Wformat -Werror=format-security 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 -Wdate-time -D_FORTIFY_SOURCE=2 -g -fstack-protector-strong -Wformat -Werror=format-security -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/linear_model/sag_fast.c
In file included from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarraytypes.h:1781:0,
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:242:
/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/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarrayobject.h:27:0,
from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/arrayobject.h:4,
from sklearn/linear_model/sag_fast.c:242:
/usr/lib/python2.7/dist-packages/numpy/core/include/numpy/__multiarray_api.h:1634:1: warning: '_import_array' defined but not used [-Wunused-function]
_import_array(void)
^
sklearn/linear_model/sag_fast.c: In function '__pyx_pf_7sklearn_12linear_model_8sag_fast_2get_max_squared_sum.isra.14':
sklearn/linear_model/sag_fast.c:4001:32: warning: '__pyx_v_x_data_ptr' may be used uninitialized in this function [-Wmaybe-uninitialized]
__pyx_v_x_data_ptr = (__pyx_v_x_data_ptr + __pyx_v_stride);
^
sklearn/linear_model/sag_fast.c:4001:54: warning: '__pyx_v_stride' may be used uninitialized in this function [-Wmaybe-uninitialized]
__pyx_v_x_data_ptr = (__pyx_v_x_data_ptr + __pyx_v_stride);
^
sklearn/linear_model/sag_fast.c:3618:8: warning: '__pyx_v_X_indptr_ptr' may be used uninitialized in this function [-Wmaybe-uninitialized]
int *__pyx_v_X_indptr_ptr;
^
sklearn/linear_model/sag_fast.c:3981:32: warning: '__pyx_v_X_data_ptr' may be used uninitialized in this function [-Wmaybe-uninitialized]
__pyx_v_x_data_ptr = (__pyx_v_X_data_ptr + __pyx_v_offset);
^
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 -fstack-protector-strong -Wformat -Werror=format-security -Wl,-z,relro -Wdate-time -D_FORTIFY_SOURCE=2 -g -fstack-protector-strong -Wformat -Werror=format-security 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.sparsetools._traversal' extension
compiling C sources
C compiler: arm-linux-gnueabihf-gcc -pthread -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -fno-strict-aliasing -Wdate-time -D_FORTIFY_SOURCE=2 -g -fstack-protector-strong -Wformat -Werror=format-security -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/sparsetools/_traversal.c
In file included from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarraytypes.h:1781:0,
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/sparsetools/_traversal.c:242:
/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/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarrayobject.h:27:0,
from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/arrayobject.h:4,
from sklearn/utils/sparsetools/_traversal.c:242:
/usr/lib/python2.7/dist-packages/numpy/core/include/numpy/__multiarray_api.h:1634:1: warning: '_import_array' defined but not used [-Wunused-function]
_import_array(void)
^
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 -fstack-protector-strong -Wformat -Werror=format-security -Wl,-z,relro -Wdate-time -D_FORTIFY_SOURCE=2 -g -fstack-protector-strong -Wformat -Werror=format-security build/temp.linux-armv7l-2.7/sklearn/utils/sparsetools/_traversal.o -Lbuild/temp.linux-armv7l-2.7 -o build/lib.linux-armv7l-2.7/sklearn/utils/sparsetools/_traversal.so
building 'sklearn.utils.sparsetools._graph_tools' extension
compiling C sources
C compiler: arm-linux-gnueabihf-gcc -pthread -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -fno-strict-aliasing -Wdate-time -D_FORTIFY_SOURCE=2 -g -fstack-protector-strong -Wformat -Werror=format-security -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/sparsetools/_graph_tools.c
In file included from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarraytypes.h:1781:0,
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/sparsetools/_graph_tools.c:242:
/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/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarrayobject.h:27:0,
from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/arrayobject.h:4,
from sklearn/utils/sparsetools/_graph_tools.c:242:
/usr/lib/python2.7/dist-packages/numpy/core/include/numpy/__multiarray_api.h:1634:1: warning: '_import_array' defined but not used [-Wunused-function]
_import_array(void)
^
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 -fstack-protector-strong -Wformat -Werror=format-security -Wl,-z,relro -Wdate-time -D_FORTIFY_SOURCE=2 -g -fstack-protector-strong -Wformat -Werror=format-security build/temp.linux-armv7l-2.7/sklearn/utils/sparsetools/_graph_tools.o -Lbuild/temp.linux-armv7l-2.7 -o build/lib.linux-armv7l-2.7/sklearn/utils/sparsetools/_graph_tools.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 -Wdate-time -D_FORTIFY_SOURCE=2 -g -fstack-protector-strong -Wformat -Werror=format-security -fPIC
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:1781:0,
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:242:
/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 -fstack-protector-strong -Wformat -Werror=format-security -Wl,-z,relro -Wdate-time -D_FORTIFY_SOURCE=2 -g -fstack-protector-strong -Wformat -Werror=format-security 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 -Wdate-time -D_FORTIFY_SOURCE=2 -g -fstack-protector-strong -Wformat -Werror=format-security -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/arrayfuncs.c
In file included from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarraytypes.h:1781:0,
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:242:
/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 -fstack-protector-strong -Wformat -Werror=format-security -Wl,-z,relro -Wdate-time -D_FORTIFY_SOURCE=2 -g -fstack-protector-strong -Wformat -Werror=format-security 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 -Wdate-time -D_FORTIFY_SOURCE=2 -g -fstack-protector-strong -Wformat -Werror=format-security -fPIC
compile options: '-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:1781:0,
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:242:
/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: c++ -pthread -DNDEBUG -g -fwrapv -O2 -Wall -fno-strict-aliasing -Wdate-time -D_FORTIFY_SOURCE=2 -g -fstack-protector-strong -Wformat -Werror=format-security -fPIC
compile options: '-Isklearn/utils/src -I/usr/lib/python2.7/dist-packages/numpy/core/include -I/usr/include/python2.7 -c'
c++: sklearn/utils/src/MurmurHash3.cpp
c++ -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 -fstack-protector-strong -Wformat -Werror=format-security -Wl,-z,relro -Wdate-time -D_FORTIFY_SOURCE=2 -g -fstack-protector-strong -Wformat -Werror=format-security 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 -Wdate-time -D_FORTIFY_SOURCE=2 -g -fstack-protector-strong -Wformat -Werror=format-security -fPIC
compile options: '-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 -fstack-protector-strong -Wformat -Werror=format-security -Wl,-z,relro -Wdate-time -D_FORTIFY_SOURCE=2 -g -fstack-protector-strong -Wformat -Werror=format-security 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 -Wdate-time -D_FORTIFY_SOURCE=2 -g -fstack-protector-strong -Wformat -Werror=format-security -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:1781:0,
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:242:
/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 -fstack-protector-strong -Wformat -Werror=format-security -Wl,-z,relro -Wdate-time -D_FORTIFY_SOURCE=2 -g -fstack-protector-strong -Wformat -Werror=format-security 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: c++ -pthread -DNDEBUG -g -fwrapv -O2 -Wall -fno-strict-aliasing -Wdate-time -D_FORTIFY_SOURCE=2 -g -fstack-protector-strong -Wformat -Werror=format-security -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'
c++: sklearn/utils/fast_dict.cpp
In file included from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarraytypes.h:1781:0,
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:320:
/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:18786:44: warning: '__pyx_v_min_key' may be used uninitialized in this function [-Wmaybe-uninitialized]
return PyInt_FromLong((long)val);
^
sklearn/utils/fast_dict.cpp:3316:46: note: '__pyx_v_min_key' was declared here
__pyx_t_7sklearn_5utils_9fast_dict_ITYPE_t __pyx_v_min_key;
^
c++ -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 -fstack-protector-strong -Wformat -Werror=format-security -Wl,-z,relro -Wdate-time -D_FORTIFY_SOURCE=2 -g -fstack-protector-strong -Wformat -Werror=format-security 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 -Wdate-time -D_FORTIFY_SOURCE=2 -g -fstack-protector-strong -Wformat -Werror=format-security -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:1781:0,
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:242:
/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 -fstack-protector-strong -Wformat -Werror=format-security -Wl,-z,relro -Wdate-time -D_FORTIFY_SOURCE=2 -g -fstack-protector-strong -Wformat -Werror=format-security 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 -Wdate-time -D_FORTIFY_SOURCE=2 -g -fstack-protector-strong -Wformat -Werror=format-security -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:1781:0,
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:242:
/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 -fstack-protector-strong -Wformat -Werror=format-security -Wl,-z,relro -Wdate-time -D_FORTIFY_SOURCE=2 -g -fstack-protector-strong -Wformat -Werror=format-security 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 -Wdate-time -D_FORTIFY_SOURCE=2 -g -fstack-protector-strong -Wformat -Werror=format-security -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:1781:0,
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:242:
/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 -fstack-protector-strong -Wformat -Werror=format-security -Wl,-z,relro -Wdate-time -D_FORTIFY_SOURCE=2 -g -fstack-protector-strong -Wformat -Werror=format-security 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 -Wdate-time -D_FORTIFY_SOURCE=2 -g -fstack-protector-strong -Wformat -Werror=format-security -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:1781:0,
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:243:
/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/lib/python2.7/dist-packages/numpy/core/include/numpy/ndarrayobject.h:27:0,
from /usr/lib/python2.7/dist-packages/numpy/core/include/numpy/arrayobject.h:4,
from sklearn/utils/_logistic_sigmoid.c:243:
/usr/lib/python2.7/dist-packages/numpy/core/include/numpy/__multiarray_api.h:1634:1: warning: '_import_array' defined but not used [-Wunused-function]
_import_array(void)
^
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 -fstack-protector-strong -Wformat -Werror=format-security -Wl,-z,relro -Wdate-time -D_FORTIFY_SOURCE=2 -g -fstack-protector-strong -Wformat -Werror=format-security 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' !
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,vml,guide 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/atlas-base', '/usr/lib', '/usr/lib/arm-linux-gnueabihf']
NOT AVAILABLE
atlas_3_10_blas_info:
libraries satlas not found in ['/usr/local/lib', '/usr/lib/atlas-base', '/usr/lib', '/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/atlas-base', '/usr/lib', '/usr/lib/arm-linux-gnueabihf']
NOT AVAILABLE
atlas_blas_info:
libraries f77blas,cblas,atlas not found in ['/usr/local/lib', '/usr/lib/atlas-base', '/usr/lib', '/usr/lib/arm-linux-gnueabihf']
NOT AVAILABLE
/usr/lib/python2.7/dist-packages/numpy/distutils/system_info.py:1651: 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.
warnings.warn(AtlasNotFoundError.__doc__)
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:1660: 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__)
blas_src_info:
NOT AVAILABLE
/usr/lib/python2.7/dist-packages/numpy/distutils/system_info.py:1663: 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.
warnings.warn(BlasSrcNotFoundError.__doc__)
NOT AVAILABLE
sklearn/setup.py:67: 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__)
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.svm.libsvm" sources
building extension "sklearn.svm.liblinear" sources
building extension "sklearn.svm.libsvm_sparse" sources
building extension "sklearn.datasets._svmlight_format" sources
building extension "sklearn.feature_extraction._hashing" sources
building extension "sklearn.cluster._dbscan_inner" sources
building extension "sklearn.cluster._hierarchical" sources
building extension "sklearn.cluster._k_means" 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.utils.sparsetools._traversal" sources
building extension "sklearn.utils.sparsetools._graph_tools" 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 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.manifold._utils" sources
building extension "sklearn.manifold._barnes_hut_tsne" sources
building extension "sklearn.metrics.pairwise_fast" 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.metrics/cluster.expected_mutual_info_fast" 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.sparsetools._traversal" sources
building extension "sklearn.utils.sparsetools._graph_tools" 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/_build_utils.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/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/lda.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/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/qda.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/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/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/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_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/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/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.so -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster
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/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/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_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/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/rfe.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
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
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_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
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
creating /<<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/_graph_validation.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
copying build/lib.linux-armv7l-2.7/sklearn/utils/sparsetools/_traversal.so -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/sparsetools
copying build/lib.linux-armv7l-2.7/sklearn/utils/sparsetools/_graph_tools.so -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/sparsetools
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_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/__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/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
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/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/odict.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/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/dpgmm.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_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_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/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/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
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/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
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
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/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/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/_weights.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/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
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/metrics.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/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/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/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/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_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/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_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_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_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_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/tests/test_isotonic.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/_build_utils.py to _build_utils.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/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/lda.py to lda.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/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/qda.py to qda.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/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/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/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_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/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/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/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/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/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_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/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/rfe.py to rfe.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/univariate_selection.py to univariate_selection.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_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/feature_selection/tests/test_from_model.py to test_from_model.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/_graph_validation.py to _graph_validation.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/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_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/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/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/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/odict.py to odict.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/mixture/__init__.py to __init__.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/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_dpgmm.py to test_dpgmm.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/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/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/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/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/neural_network/__init__.py to __init__.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/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/_weights.py to _weights.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/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/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/metrics.py to metrics.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/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/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/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/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_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/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_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_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_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_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
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tests/test_isotonic.py to test_isotonic.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/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/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-0.17.1.egg-info
running install_clib
python3.5 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,vml,guide 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/atlas-base', '/usr/lib', '/usr/lib/arm-linux-gnueabihf']
NOT AVAILABLE
atlas_3_10_blas_info:
libraries satlas not found in ['/usr/local/lib', '/usr/lib/atlas-base', '/usr/lib', '/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/atlas-base', '/usr/lib', '/usr/lib/arm-linux-gnueabihf']
NOT AVAILABLE
atlas_blas_info:
libraries f77blas,cblas,atlas not found in ['/usr/local/lib', '/usr/lib/atlas-base', '/usr/lib', '/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
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.svm.libsvm" sources
building extension "sklearn.svm.liblinear" sources
building extension "sklearn.svm.libsvm_sparse" sources
building extension "sklearn.datasets._svmlight_format" sources
building extension "sklearn.feature_extraction._hashing" sources
building extension "sklearn.cluster._dbscan_inner" sources
building extension "sklearn.cluster._hierarchical" sources
building extension "sklearn.cluster._k_means" 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.utils.sparsetools._traversal" sources
building extension "sklearn.utils.sparsetools._graph_tools" 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 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.manifold._utils" sources
building extension "sklearn.manifold._barnes_hut_tsne" sources
building extension "sklearn.metrics.pairwise_fast" 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.metrics/cluster.expected_mutual_info_fast" 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.sparsetools._traversal" sources
building extension "sklearn.utils.sparsetools._graph_tools" 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-3.5
creating build/lib.linux-armv7l-3.5/sklearn
copying sklearn/__init__.py -> build/lib.linux-armv7l-3.5/sklearn
copying sklearn/_build_utils.py -> build/lib.linux-armv7l-3.5/sklearn
copying sklearn/base.py -> build/lib.linux-armv7l-3.5/sklearn
copying sklearn/calibration.py -> build/lib.linux-armv7l-3.5/sklearn
copying sklearn/cross_validation.py -> build/lib.linux-armv7l-3.5/sklearn
copying sklearn/discriminant_analysis.py -> build/lib.linux-armv7l-3.5/sklearn
copying sklearn/dummy.py -> build/lib.linux-armv7l-3.5/sklearn
copying sklearn/grid_search.py -> build/lib.linux-armv7l-3.5/sklearn
copying sklearn/isotonic.py -> build/lib.linux-armv7l-3.5/sklearn
copying sklearn/kernel_approximation.py -> build/lib.linux-armv7l-3.5/sklearn
copying sklearn/kernel_ridge.py -> build/lib.linux-armv7l-3.5/sklearn
copying sklearn/lda.py -> build/lib.linux-armv7l-3.5/sklearn
copying sklearn/learning_curve.py -> build/lib.linux-armv7l-3.5/sklearn
copying sklearn/multiclass.py -> build/lib.linux-armv7l-3.5/sklearn
copying sklearn/naive_bayes.py -> build/lib.linux-armv7l-3.5/sklearn
copying sklearn/pipeline.py -> build/lib.linux-armv7l-3.5/sklearn
copying sklearn/qda.py -> build/lib.linux-armv7l-3.5/sklearn
copying sklearn/random_projection.py -> build/lib.linux-armv7l-3.5/sklearn
copying sklearn/setup.py -> build/lib.linux-armv7l-3.5/sklearn
creating build/lib.linux-armv7l-3.5/sklearn/__check_build
copying sklearn/__check_build/__init__.py -> build/lib.linux-armv7l-3.5/sklearn/__check_build
copying sklearn/__check_build/setup.py -> build/lib.linux-armv7l-3.5/sklearn/__check_build
creating build/lib.linux-armv7l-3.5/sklearn/svm
copying sklearn/svm/__init__.py -> build/lib.linux-armv7l-3.5/sklearn/svm
copying sklearn/svm/base.py -> build/lib.linux-armv7l-3.5/sklearn/svm
copying sklearn/svm/bounds.py -> build/lib.linux-armv7l-3.5/sklearn/svm
copying sklearn/svm/classes.py -> build/lib.linux-armv7l-3.5/sklearn/svm
copying sklearn/svm/setup.py -> build/lib.linux-armv7l-3.5/sklearn/svm
creating build/lib.linux-armv7l-3.5/sklearn/svm/tests
copying sklearn/svm/tests/__init__.py -> build/lib.linux-armv7l-3.5/sklearn/svm/tests
copying sklearn/svm/tests/test_bounds.py -> build/lib.linux-armv7l-3.5/sklearn/svm/tests
copying sklearn/svm/tests/test_sparse.py -> build/lib.linux-armv7l-3.5/sklearn/svm/tests
copying sklearn/svm/tests/test_svm.py -> build/lib.linux-armv7l-3.5/sklearn/svm/tests
creating build/lib.linux-armv7l-3.5/sklearn/datasets
copying sklearn/datasets/__init__.py -> build/lib.linux-armv7l-3.5/sklearn/datasets
copying sklearn/datasets/base.py -> build/lib.linux-armv7l-3.5/sklearn/datasets
copying sklearn/datasets/california_housing.py -> build/lib.linux-armv7l-3.5/sklearn/datasets
copying sklearn/datasets/covtype.py -> build/lib.linux-armv7l-3.5/sklearn/datasets
copying sklearn/datasets/mlcomp.py -> build/lib.linux-armv7l-3.5/sklearn/datasets
copying sklearn/datasets/mldata.py -> build/lib.linux-armv7l-3.5/sklearn/datasets
copying sklearn/datasets/olivetti_faces.py -> build/lib.linux-armv7l-3.5/sklearn/datasets
copying sklearn/datasets/rcv1.py -> build/lib.linux-armv7l-3.5/sklearn/datasets
copying sklearn/datasets/samples_generator.py -> build/lib.linux-armv7l-3.5/sklearn/datasets
copying sklearn/datasets/setup.py -> build/lib.linux-armv7l-3.5/sklearn/datasets
copying sklearn/datasets/species_distributions.py -> build/lib.linux-armv7l-3.5/sklearn/datasets
copying sklearn/datasets/svmlight_format.py -> build/lib.linux-armv7l-3.5/sklearn/datasets
copying sklearn/datasets/twenty_newsgroups.py -> build/lib.linux-armv7l-3.5/sklearn/datasets
copying sklearn/datasets/lfw.py -> build/lib.linux-armv7l-3.5/sklearn/datasets
creating build/lib.linux-armv7l-3.5/sklearn/datasets/tests
copying sklearn/datasets/tests/__init__.py -> build/lib.linux-armv7l-3.5/sklearn/datasets/tests
copying sklearn/datasets/tests/test_20news.py -> build/lib.linux-armv7l-3.5/sklearn/datasets/tests
copying sklearn/datasets/tests/test_base.py -> build/lib.linux-armv7l-3.5/sklearn/datasets/tests
copying sklearn/datasets/tests/test_covtype.py -> build/lib.linux-armv7l-3.5/sklearn/datasets/tests
copying sklearn/datasets/tests/test_lfw.py -> build/lib.linux-armv7l-3.5/sklearn/datasets/tests
copying sklearn/datasets/tests/test_mldata.py -> build/lib.linux-armv7l-3.5/sklearn/datasets/tests
copying sklearn/datasets/tests/test_rcv1.py -> build/lib.linux-armv7l-3.5/sklearn/datasets/tests
copying sklearn/datasets/tests/test_samples_generator.py -> build/lib.linux-armv7l-3.5/sklearn/datasets/tests
copying sklearn/datasets/tests/test_svmlight_format.py -> build/lib.linux-armv7l-3.5/sklearn/datasets/tests
creating build/lib.linux-armv7l-3.5/sklearn/feature_extraction
copying sklearn/feature_extraction/__init__.py -> build/lib.linux-armv7l-3.5/sklearn/feature_extraction
copying sklearn/feature_extraction/dict_vectorizer.py -> build/lib.linux-armv7l-3.5/sklearn/feature_extraction
copying sklearn/feature_extraction/hashing.py -> build/lib.linux-armv7l-3.5/sklearn/feature_extraction
copying sklearn/feature_extraction/image.py -> build/lib.linux-armv7l-3.5/sklearn/feature_extraction
copying sklearn/feature_extraction/setup.py -> build/lib.linux-armv7l-3.5/sklearn/feature_extraction
copying sklearn/feature_extraction/stop_words.py -> build/lib.linux-armv7l-3.5/sklearn/feature_extraction
copying sklearn/feature_extraction/text.py -> build/lib.linux-armv7l-3.5/sklearn/feature_extraction
creating build/lib.linux-armv7l-3.5/sklearn/feature_extraction/tests
copying sklearn/feature_extraction/tests/__init__.py -> build/lib.linux-armv7l-3.5/sklearn/feature_extraction/tests
copying sklearn/feature_extraction/tests/test_dict_vectorizer.py -> build/lib.linux-armv7l-3.5/sklearn/feature_extraction/tests
copying sklearn/feature_extraction/tests/test_feature_hasher.py -> build/lib.linux-armv7l-3.5/sklearn/feature_extraction/tests
copying sklearn/feature_extraction/tests/test_image.py -> build/lib.linux-armv7l-3.5/sklearn/feature_extraction/tests
copying sklearn/feature_extraction/tests/test_text.py -> build/lib.linux-armv7l-3.5/sklearn/feature_extraction/tests
creating build/lib.linux-armv7l-3.5/sklearn/cluster
copying sklearn/cluster/__init__.py -> build/lib.linux-armv7l-3.5/sklearn/cluster
copying sklearn/cluster/_feature_agglomeration.py -> build/lib.linux-armv7l-3.5/sklearn/cluster
copying sklearn/cluster/affinity_propagation_.py -> build/lib.linux-armv7l-3.5/sklearn/cluster
copying sklearn/cluster/bicluster.py -> build/lib.linux-armv7l-3.5/sklearn/cluster
copying sklearn/cluster/birch.py -> build/lib.linux-armv7l-3.5/sklearn/cluster
copying sklearn/cluster/dbscan_.py -> build/lib.linux-armv7l-3.5/sklearn/cluster
copying sklearn/cluster/hierarchical.py -> build/lib.linux-armv7l-3.5/sklearn/cluster
copying sklearn/cluster/k_means_.py -> build/lib.linux-armv7l-3.5/sklearn/cluster
copying sklearn/cluster/mean_shift_.py -> build/lib.linux-armv7l-3.5/sklearn/cluster
copying sklearn/cluster/setup.py -> build/lib.linux-armv7l-3.5/sklearn/cluster
copying sklearn/cluster/spectral.py -> build/lib.linux-armv7l-3.5/sklearn/cluster
creating build/lib.linux-armv7l-3.5/sklearn/cluster/tests
copying sklearn/cluster/tests/__init__.py -> build/lib.linux-armv7l-3.5/sklearn/cluster/tests
copying sklearn/cluster/tests/common.py -> build/lib.linux-armv7l-3.5/sklearn/cluster/tests
copying sklearn/cluster/tests/test_affinity_propagation.py -> build/lib.linux-armv7l-3.5/sklearn/cluster/tests
copying sklearn/cluster/tests/test_bicluster.py -> build/lib.linux-armv7l-3.5/sklearn/cluster/tests
copying sklearn/cluster/tests/test_birch.py -> build/lib.linux-armv7l-3.5/sklearn/cluster/tests
copying sklearn/cluster/tests/test_dbscan.py -> build/lib.linux-armv7l-3.5/sklearn/cluster/tests
copying sklearn/cluster/tests/test_hierarchical.py -> build/lib.linux-armv7l-3.5/sklearn/cluster/tests
copying sklearn/cluster/tests/test_k_means.py -> build/lib.linux-armv7l-3.5/sklearn/cluster/tests
copying sklearn/cluster/tests/test_mean_shift.py -> build/lib.linux-armv7l-3.5/sklearn/cluster/tests
copying sklearn/cluster/tests/test_spectral.py -> build/lib.linux-armv7l-3.5/sklearn/cluster/tests
creating build/lib.linux-armv7l-3.5/sklearn/covariance
copying sklearn/covariance/__init__.py -> build/lib.linux-armv7l-3.5/sklearn/covariance
copying sklearn/covariance/empirical_covariance_.py -> build/lib.linux-armv7l-3.5/sklearn/covariance
copying sklearn/covariance/graph_lasso_.py -> build/lib.linux-armv7l-3.5/sklearn/covariance
copying sklearn/covariance/outlier_detection.py -> build/lib.linux-armv7l-3.5/sklearn/covariance
copying sklearn/covariance/robust_covariance.py -> build/lib.linux-armv7l-3.5/sklearn/covariance
copying sklearn/covariance/shrunk_covariance_.py -> build/lib.linux-armv7l-3.5/sklearn/covariance
creating build/lib.linux-armv7l-3.5/sklearn/covariance/tests
copying sklearn/covariance/tests/__init__.py -> build/lib.linux-armv7l-3.5/sklearn/covariance/tests
copying sklearn/covariance/tests/test_covariance.py -> build/lib.linux-armv7l-3.5/sklearn/covariance/tests
copying sklearn/covariance/tests/test_graph_lasso.py -> build/lib.linux-armv7l-3.5/sklearn/covariance/tests
copying sklearn/covariance/tests/test_robust_covariance.py -> build/lib.linux-armv7l-3.5/sklearn/covariance/tests
creating build/lib.linux-armv7l-3.5/sklearn/cross_decomposition
copying sklearn/cross_decomposition/__init__.py -> build/lib.linux-armv7l-3.5/sklearn/cross_decomposition
copying sklearn/cross_decomposition/cca_.py -> build/lib.linux-armv7l-3.5/sklearn/cross_decomposition
copying sklearn/cross_decomposition/pls_.py -> build/lib.linux-armv7l-3.5/sklearn/cross_decomposition
creating build/lib.linux-armv7l-3.5/sklearn/decomposition
copying sklearn/decomposition/__init__.py -> build/lib.linux-armv7l-3.5/sklearn/decomposition
copying sklearn/decomposition/base.py -> build/lib.linux-armv7l-3.5/sklearn/decomposition
copying sklearn/decomposition/dict_learning.py -> build/lib.linux-armv7l-3.5/sklearn/decomposition
copying sklearn/decomposition/factor_analysis.py -> build/lib.linux-armv7l-3.5/sklearn/decomposition
copying sklearn/decomposition/fastica_.py -> build/lib.linux-armv7l-3.5/sklearn/decomposition
copying sklearn/decomposition/incremental_pca.py -> build/lib.linux-armv7l-3.5/sklearn/decomposition
copying sklearn/decomposition/kernel_pca.py -> build/lib.linux-armv7l-3.5/sklearn/decomposition
copying sklearn/decomposition/nmf.py -> build/lib.linux-armv7l-3.5/sklearn/decomposition
copying sklearn/decomposition/online_lda.py -> build/lib.linux-armv7l-3.5/sklearn/decomposition
copying sklearn/decomposition/pca.py -> build/lib.linux-armv7l-3.5/sklearn/decomposition
copying sklearn/decomposition/setup.py -> build/lib.linux-armv7l-3.5/sklearn/decomposition
copying sklearn/decomposition/sparse_pca.py -> build/lib.linux-armv7l-3.5/sklearn/decomposition
copying sklearn/decomposition/truncated_svd.py -> build/lib.linux-armv7l-3.5/sklearn/decomposition
creating build/lib.linux-armv7l-3.5/sklearn/decomposition/tests
copying sklearn/decomposition/tests/__init__.py -> build/lib.linux-armv7l-3.5/sklearn/decomposition/tests
copying sklearn/decomposition/tests/test_dict_learning.py -> build/lib.linux-armv7l-3.5/sklearn/decomposition/tests
copying sklearn/decomposition/tests/test_factor_analysis.py -> build/lib.linux-armv7l-3.5/sklearn/decomposition/tests
copying sklearn/decomposition/tests/test_fastica.py -> build/lib.linux-armv7l-3.5/sklearn/decomposition/tests
copying sklearn/decomposition/tests/test_incremental_pca.py -> build/lib.linux-armv7l-3.5/sklearn/decomposition/tests
copying sklearn/decomposition/tests/test_kernel_pca.py -> build/lib.linux-armv7l-3.5/sklearn/decomposition/tests
copying sklearn/decomposition/tests/test_nmf.py -> build/lib.linux-armv7l-3.5/sklearn/decomposition/tests
copying sklearn/decomposition/tests/test_online_lda.py -> build/lib.linux-armv7l-3.5/sklearn/decomposition/tests
copying sklearn/decomposition/tests/test_pca.py -> build/lib.linux-armv7l-3.5/sklearn/decomposition/tests
copying sklearn/decomposition/tests/test_sparse_pca.py -> build/lib.linux-armv7l-3.5/sklearn/decomposition/tests
copying sklearn/decomposition/tests/test_truncated_svd.py -> build/lib.linux-armv7l-3.5/sklearn/decomposition/tests
creating build/lib.linux-armv7l-3.5/sklearn/ensemble
copying sklearn/ensemble/__init__.py -> build/lib.linux-armv7l-3.5/sklearn/ensemble
copying sklearn/ensemble/bagging.py -> build/lib.linux-armv7l-3.5/sklearn/ensemble
copying sklearn/ensemble/base.py -> build/lib.linux-armv7l-3.5/sklearn/ensemble
copying sklearn/ensemble/forest.py -> build/lib.linux-armv7l-3.5/sklearn/ensemble
copying sklearn/ensemble/gradient_boosting.py -> build/lib.linux-armv7l-3.5/sklearn/ensemble
copying sklearn/ensemble/partial_dependence.py -> build/lib.linux-armv7l-3.5/sklearn/ensemble
copying sklearn/ensemble/setup.py -> build/lib.linux-armv7l-3.5/sklearn/ensemble
copying sklearn/ensemble/voting_classifier.py -> build/lib.linux-armv7l-3.5/sklearn/ensemble
copying sklearn/ensemble/weight_boosting.py -> build/lib.linux-armv7l-3.5/sklearn/ensemble
creating build/lib.linux-armv7l-3.5/sklearn/ensemble/tests
copying sklearn/ensemble/tests/__init__.py -> build/lib.linux-armv7l-3.5/sklearn/ensemble/tests
copying sklearn/ensemble/tests/test_bagging.py -> build/lib.linux-armv7l-3.5/sklearn/ensemble/tests
copying sklearn/ensemble/tests/test_base.py -> build/lib.linux-armv7l-3.5/sklearn/ensemble/tests
copying sklearn/ensemble/tests/test_forest.py -> build/lib.linux-armv7l-3.5/sklearn/ensemble/tests
copying sklearn/ensemble/tests/test_gradient_boosting.py -> build/lib.linux-armv7l-3.5/sklearn/ensemble/tests
copying sklearn/ensemble/tests/test_gradient_boosting_loss_functions.py -> build/lib.linux-armv7l-3.5/sklearn/ensemble/tests
copying sklearn/ensemble/tests/test_partial_dependence.py -> build/lib.linux-armv7l-3.5/sklearn/ensemble/tests
copying sklearn/ensemble/tests/test_voting_classifier.py -> build/lib.linux-armv7l-3.5/sklearn/ensemble/tests
copying sklearn/ensemble/tests/test_weight_boosting.py -> build/lib.linux-armv7l-3.5/sklearn/ensemble/tests
creating build/lib.linux-armv7l-3.5/sklearn/feature_selection
copying sklearn/feature_selection/__init__.py -> build/lib.linux-armv7l-3.5/sklearn/feature_selection
copying sklearn/feature_selection/base.py -> build/lib.linux-armv7l-3.5/sklearn/feature_selection
copying sklearn/feature_selection/from_model.py -> build/lib.linux-armv7l-3.5/sklearn/feature_selection
copying sklearn/feature_selection/rfe.py -> build/lib.linux-armv7l-3.5/sklearn/feature_selection
copying sklearn/feature_selection/variance_threshold.py -> build/lib.linux-armv7l-3.5/sklearn/feature_selection
copying sklearn/feature_selection/univariate_selection.py -> build/lib.linux-armv7l-3.5/sklearn/feature_selection
creating build/lib.linux-armv7l-3.5/sklearn/feature_selection/tests
copying sklearn/feature_selection/tests/__init__.py -> build/lib.linux-armv7l-3.5/sklearn/feature_selection/tests
copying sklearn/feature_selection/tests/test_base.py -> build/lib.linux-armv7l-3.5/sklearn/feature_selection/tests
copying sklearn/feature_selection/tests/test_chi2.py -> build/lib.linux-armv7l-3.5/sklearn/feature_selection/tests
copying sklearn/feature_selection/tests/test_feature_select.py -> build/lib.linux-armv7l-3.5/sklearn/feature_selection/tests
copying sklearn/feature_selection/tests/test_rfe.py -> build/lib.linux-armv7l-3.5/sklearn/feature_selection/tests
copying sklearn/feature_selection/tests/test_variance_threshold.py -> build/lib.linux-armv7l-3.5/sklearn/feature_selection/tests
copying sklearn/feature_selection/tests/test_from_model.py -> build/lib.linux-armv7l-3.5/sklearn/feature_selection/tests
creating build/lib.linux-armv7l-3.5/sklearn/utils
copying sklearn/utils/__init__.py -> build/lib.linux-armv7l-3.5/sklearn/utils
copying sklearn/utils/_scipy_sparse_lsqr_backport.py -> build/lib.linux-armv7l-3.5/sklearn/utils
copying sklearn/utils/arpack.py -> build/lib.linux-armv7l-3.5/sklearn/utils
copying sklearn/utils/bench.py -> build/lib.linux-armv7l-3.5/sklearn/utils
copying sklearn/utils/class_weight.py -> build/lib.linux-armv7l-3.5/sklearn/utils
copying sklearn/utils/estimator_checks.py -> build/lib.linux-armv7l-3.5/sklearn/utils
copying sklearn/utils/extmath.py -> build/lib.linux-armv7l-3.5/sklearn/utils
copying sklearn/utils/fixes.py -> build/lib.linux-armv7l-3.5/sklearn/utils
copying sklearn/utils/graph.py -> build/lib.linux-armv7l-3.5/sklearn/utils
copying sklearn/utils/linear_assignment_.py -> build/lib.linux-armv7l-3.5/sklearn/utils
copying sklearn/utils/metaestimators.py -> build/lib.linux-armv7l-3.5/sklearn/utils
copying sklearn/utils/mocking.py -> build/lib.linux-armv7l-3.5/sklearn/utils
copying sklearn/utils/multiclass.py -> build/lib.linux-armv7l-3.5/sklearn/utils
copying sklearn/utils/optimize.py -> build/lib.linux-armv7l-3.5/sklearn/utils
copying sklearn/utils/random.py -> build/lib.linux-armv7l-3.5/sklearn/utils
copying sklearn/utils/setup.py -> build/lib.linux-armv7l-3.5/sklearn/utils
copying sklearn/utils/sparsefuncs.py -> build/lib.linux-armv7l-3.5/sklearn/utils
copying sklearn/utils/stats.py -> build/lib.linux-armv7l-3.5/sklearn/utils
copying sklearn/utils/testing.py -> build/lib.linux-armv7l-3.5/sklearn/utils
copying sklearn/utils/validation.py -> build/lib.linux-armv7l-3.5/sklearn/utils
creating build/lib.linux-armv7l-3.5/sklearn/utils/sparsetools
copying sklearn/utils/sparsetools/__init__.py -> build/lib.linux-armv7l-3.5/sklearn/utils/sparsetools
copying sklearn/utils/sparsetools/_graph_validation.py -> build/lib.linux-armv7l-3.5/sklearn/utils/sparsetools
copying sklearn/utils/sparsetools/setup.py -> build/lib.linux-armv7l-3.5/sklearn/utils/sparsetools
creating build/lib.linux-armv7l-3.5/sklearn/utils/tests
copying sklearn/utils/tests/__init__.py -> build/lib.linux-armv7l-3.5/sklearn/utils/tests
copying sklearn/utils/tests/test_bench.py -> build/lib.linux-armv7l-3.5/sklearn/utils/tests
copying sklearn/utils/tests/test_class_weight.py -> build/lib.linux-armv7l-3.5/sklearn/utils/tests
copying sklearn/utils/tests/test_estimator_checks.py -> build/lib.linux-armv7l-3.5/sklearn/utils/tests
copying sklearn/utils/tests/test_extmath.py -> build/lib.linux-armv7l-3.5/sklearn/utils/tests
copying sklearn/utils/tests/test_fast_dict.py -> build/lib.linux-armv7l-3.5/sklearn/utils/tests
copying sklearn/utils/tests/test_fixes.py -> build/lib.linux-armv7l-3.5/sklearn/utils/tests
copying sklearn/utils/tests/test_graph.py -> build/lib.linux-armv7l-3.5/sklearn/utils/tests
copying sklearn/utils/tests/test_linear_assignment.py -> build/lib.linux-armv7l-3.5/sklearn/utils/tests
copying sklearn/utils/tests/test_metaestimators.py -> build/lib.linux-armv7l-3.5/sklearn/utils/tests
copying sklearn/utils/tests/test_multiclass.py -> build/lib.linux-armv7l-3.5/sklearn/utils/tests
copying sklearn/utils/tests/test_murmurhash.py -> build/lib.linux-armv7l-3.5/sklearn/utils/tests
copying sklearn/utils/tests/test_optimize.py -> build/lib.linux-armv7l-3.5/sklearn/utils/tests
copying sklearn/utils/tests/test_random.py -> build/lib.linux-armv7l-3.5/sklearn/utils/tests
copying sklearn/utils/tests/test_seq_dataset.py -> build/lib.linux-armv7l-3.5/sklearn/utils/tests
copying sklearn/utils/tests/test_shortest_path.py -> build/lib.linux-armv7l-3.5/sklearn/utils/tests
copying sklearn/utils/tests/test_sparsefuncs.py -> build/lib.linux-armv7l-3.5/sklearn/utils/tests
copying sklearn/utils/tests/test_stats.py -> build/lib.linux-armv7l-3.5/sklearn/utils/tests
copying sklearn/utils/tests/test_testing.py -> build/lib.linux-armv7l-3.5/sklearn/utils/tests
copying sklearn/utils/tests/test_utils.py -> build/lib.linux-armv7l-3.5/sklearn/utils/tests
copying sklearn/utils/tests/test_validation.py -> build/lib.linux-armv7l-3.5/sklearn/utils/tests
creating build/lib.linux-armv7l-3.5/sklearn/externals
copying sklearn/externals/__init__.py -> build/lib.linux-armv7l-3.5/sklearn/externals
copying sklearn/externals/funcsigs.py -> build/lib.linux-armv7l-3.5/sklearn/externals
copying sklearn/externals/odict.py -> build/lib.linux-armv7l-3.5/sklearn/externals
copying sklearn/externals/setup.py -> build/lib.linux-armv7l-3.5/sklearn/externals
copying sklearn/externals/six.py -> build/lib.linux-armv7l-3.5/sklearn/externals
copying sklearn/externals/test_externals_setup.py -> build/lib.linux-armv7l-3.5/sklearn/externals
creating build/lib.linux-armv7l-3.5/sklearn/externals/joblib
copying sklearn/externals/joblib/__init__.py -> build/lib.linux-armv7l-3.5/sklearn/externals/joblib
creating build/lib.linux-armv7l-3.5/sklearn/mixture
copying sklearn/mixture/__init__.py -> build/lib.linux-armv7l-3.5/sklearn/mixture
copying sklearn/mixture/dpgmm.py -> build/lib.linux-armv7l-3.5/sklearn/mixture
copying sklearn/mixture/gmm.py -> build/lib.linux-armv7l-3.5/sklearn/mixture
creating build/lib.linux-armv7l-3.5/sklearn/mixture/tests
copying sklearn/mixture/tests/__init__.py -> build/lib.linux-armv7l-3.5/sklearn/mixture/tests
copying sklearn/mixture/tests/test_dpgmm.py -> build/lib.linux-armv7l-3.5/sklearn/mixture/tests
copying sklearn/mixture/tests/test_gmm.py -> build/lib.linux-armv7l-3.5/sklearn/mixture/tests
creating build/lib.linux-armv7l-3.5/sklearn/gaussian_process
copying sklearn/gaussian_process/__init__.py -> build/lib.linux-armv7l-3.5/sklearn/gaussian_process
copying sklearn/gaussian_process/correlation_models.py -> build/lib.linux-armv7l-3.5/sklearn/gaussian_process
copying sklearn/gaussian_process/gaussian_process.py -> build/lib.linux-armv7l-3.5/sklearn/gaussian_process
copying sklearn/gaussian_process/regression_models.py -> build/lib.linux-armv7l-3.5/sklearn/gaussian_process
creating build/lib.linux-armv7l-3.5/sklearn/gaussian_process/tests
copying sklearn/gaussian_process/tests/__init__.py -> build/lib.linux-armv7l-3.5/sklearn/gaussian_process/tests
copying sklearn/gaussian_process/tests/test_gaussian_process.py -> build/lib.linux-armv7l-3.5/sklearn/gaussian_process/tests
creating build/lib.linux-armv7l-3.5/sklearn/neighbors
copying sklearn/neighbors/__init__.py -> build/lib.linux-armv7l-3.5/sklearn/neighbors
copying sklearn/neighbors/approximate.py -> build/lib.linux-armv7l-3.5/sklearn/neighbors
copying sklearn/neighbors/base.py -> build/lib.linux-armv7l-3.5/sklearn/neighbors
copying sklearn/neighbors/classification.py -> build/lib.linux-armv7l-3.5/sklearn/neighbors
copying sklearn/neighbors/graph.py -> build/lib.linux-armv7l-3.5/sklearn/neighbors
copying sklearn/neighbors/kde.py -> build/lib.linux-armv7l-3.5/sklearn/neighbors
copying sklearn/neighbors/nearest_centroid.py -> build/lib.linux-armv7l-3.5/sklearn/neighbors
copying sklearn/neighbors/regression.py -> build/lib.linux-armv7l-3.5/sklearn/neighbors
copying sklearn/neighbors/setup.py -> build/lib.linux-armv7l-3.5/sklearn/neighbors
copying sklearn/neighbors/unsupervised.py -> build/lib.linux-armv7l-3.5/sklearn/neighbors
creating build/lib.linux-armv7l-3.5/sklearn/neural_network
copying sklearn/neural_network/__init__.py -> build/lib.linux-armv7l-3.5/sklearn/neural_network
copying sklearn/neural_network/rbm.py -> build/lib.linux-armv7l-3.5/sklearn/neural_network
creating build/lib.linux-armv7l-3.5/sklearn/preprocessing
copying sklearn/preprocessing/__init__.py -> build/lib.linux-armv7l-3.5/sklearn/preprocessing
copying sklearn/preprocessing/_function_transformer.py -> build/lib.linux-armv7l-3.5/sklearn/preprocessing
copying sklearn/preprocessing/_weights.py -> build/lib.linux-armv7l-3.5/sklearn/preprocessing
copying sklearn/preprocessing/data.py -> build/lib.linux-armv7l-3.5/sklearn/preprocessing
copying sklearn/preprocessing/imputation.py -> build/lib.linux-armv7l-3.5/sklearn/preprocessing
copying sklearn/preprocessing/label.py -> build/lib.linux-armv7l-3.5/sklearn/preprocessing
creating build/lib.linux-armv7l-3.5/sklearn/manifold
copying sklearn/manifold/__init__.py -> build/lib.linux-armv7l-3.5/sklearn/manifold
copying sklearn/manifold/isomap.py -> build/lib.linux-armv7l-3.5/sklearn/manifold
copying sklearn/manifold/locally_linear.py -> build/lib.linux-armv7l-3.5/sklearn/manifold
copying sklearn/manifold/mds.py -> build/lib.linux-armv7l-3.5/sklearn/manifold
copying sklearn/manifold/setup.py -> build/lib.linux-armv7l-3.5/sklearn/manifold
copying sklearn/manifold/spectral_embedding_.py -> build/lib.linux-armv7l-3.5/sklearn/manifold
copying sklearn/manifold/t_sne.py -> build/lib.linux-armv7l-3.5/sklearn/manifold
creating build/lib.linux-armv7l-3.5/sklearn/metrics
copying sklearn/metrics/__init__.py -> build/lib.linux-armv7l-3.5/sklearn/metrics
copying sklearn/metrics/base.py -> build/lib.linux-armv7l-3.5/sklearn/metrics
copying sklearn/metrics/classification.py -> build/lib.linux-armv7l-3.5/sklearn/metrics
copying sklearn/metrics/metrics.py -> build/lib.linux-armv7l-3.5/sklearn/metrics
copying sklearn/metrics/ranking.py -> build/lib.linux-armv7l-3.5/sklearn/metrics
copying sklearn/metrics/regression.py -> build/lib.linux-armv7l-3.5/sklearn/metrics
copying sklearn/metrics/scorer.py -> build/lib.linux-armv7l-3.5/sklearn/metrics
copying sklearn/metrics/setup.py -> build/lib.linux-armv7l-3.5/sklearn/metrics
copying sklearn/metrics/pairwise.py -> build/lib.linux-armv7l-3.5/sklearn/metrics
creating build/lib.linux-armv7l-3.5/sklearn/semi_supervised
copying sklearn/semi_supervised/__init__.py -> build/lib.linux-armv7l-3.5/sklearn/semi_supervised
copying sklearn/semi_supervised/label_propagation.py -> build/lib.linux-armv7l-3.5/sklearn/semi_supervised
creating build/lib.linux-armv7l-3.5/sklearn/tree
copying sklearn/tree/__init__.py -> build/lib.linux-armv7l-3.5/sklearn/tree
copying sklearn/tree/export.py -> build/lib.linux-armv7l-3.5/sklearn/tree
copying sklearn/tree/setup.py -> build/lib.linux-armv7l-3.5/sklearn/tree
copying sklearn/tree/tree.py -> build/lib.linux-armv7l-3.5/sklearn/tree
creating build/lib.linux-armv7l-3.5/sklearn/tree/tests
copying sklearn/tree/tests/__init__.py -> build/lib.linux-armv7l-3.5/sklearn/tree/tests
copying sklearn/tree/tests/test_export.py -> build/lib.linux-armv7l-3.5/sklearn/tree/tests
copying sklearn/tree/tests/test_tree.py -> build/lib.linux-armv7l-3.5/sklearn/tree/tests
creating build/lib.linux-armv7l-3.5/sklearn/metrics/tests
copying sklearn/metrics/tests/__init__.py -> build/lib.linux-armv7l-3.5/sklearn/metrics/tests
copying sklearn/metrics/tests/test_classification.py -> build/lib.linux-armv7l-3.5/sklearn/metrics/tests
copying sklearn/metrics/tests/test_common.py -> build/lib.linux-armv7l-3.5/sklearn/metrics/tests
copying sklearn/metrics/tests/test_pairwise.py -> build/lib.linux-armv7l-3.5/sklearn/metrics/tests
copying sklearn/metrics/tests/test_regression.py -> build/lib.linux-armv7l-3.5/sklearn/metrics/tests
copying sklearn/metrics/tests/test_score_objects.py -> build/lib.linux-armv7l-3.5/sklearn/metrics/tests
copying sklearn/metrics/tests/test_ranking.py -> build/lib.linux-armv7l-3.5/sklearn/metrics/tests
creating build/lib.linux-armv7l-3.5/sklearn/metrics/cluster
copying sklearn/metrics/cluster/__init__.py -> build/lib.linux-armv7l-3.5/sklearn/metrics/cluster
copying sklearn/metrics/cluster/bicluster.py -> build/lib.linux-armv7l-3.5/sklearn/metrics/cluster
copying sklearn/metrics/cluster/setup.py -> build/lib.linux-armv7l-3.5/sklearn/metrics/cluster
copying sklearn/metrics/cluster/supervised.py -> build/lib.linux-armv7l-3.5/sklearn/metrics/cluster
copying sklearn/metrics/cluster/unsupervised.py -> build/lib.linux-armv7l-3.5/sklearn/metrics/cluster
creating build/lib.linux-armv7l-3.5/sklearn/metrics/cluster/tests
copying sklearn/metrics/cluster/tests/__init__.py -> build/lib.linux-armv7l-3.5/sklearn/metrics/cluster/tests
copying sklearn/metrics/cluster/tests/test_bicluster.py -> build/lib.linux-armv7l-3.5/sklearn/metrics/cluster/tests
copying sklearn/metrics/cluster/tests/test_supervised.py -> build/lib.linux-armv7l-3.5/sklearn/metrics/cluster/tests
copying sklearn/metrics/cluster/tests/test_unsupervised.py -> build/lib.linux-armv7l-3.5/sklearn/metrics/cluster/tests
creating build/lib.linux-armv7l-3.5/sklearn/linear_model
copying sklearn/linear_model/__init__.py -> build/lib.linux-armv7l-3.5/sklearn/linear_model
copying sklearn/linear_model/base.py -> build/lib.linux-armv7l-3.5/sklearn/linear_model
copying sklearn/linear_model/bayes.py -> build/lib.linux-armv7l-3.5/sklearn/linear_model
copying sklearn/linear_model/coordinate_descent.py -> build/lib.linux-armv7l-3.5/sklearn/linear_model
copying sklearn/linear_model/least_angle.py -> build/lib.linux-armv7l-3.5/sklearn/linear_model
copying sklearn/linear_model/logistic.py -> build/lib.linux-armv7l-3.5/sklearn/linear_model
copying sklearn/linear_model/omp.py -> build/lib.linux-armv7l-3.5/sklearn/linear_model
copying sklearn/linear_model/passive_aggressive.py -> build/lib.linux-armv7l-3.5/sklearn/linear_model
copying sklearn/linear_model/perceptron.py -> build/lib.linux-armv7l-3.5/sklearn/linear_model
copying sklearn/linear_model/randomized_l1.py -> build/lib.linux-armv7l-3.5/sklearn/linear_model
copying sklearn/linear_model/ransac.py -> build/lib.linux-armv7l-3.5/sklearn/linear_model
copying sklearn/linear_model/ridge.py -> build/lib.linux-armv7l-3.5/sklearn/linear_model
copying sklearn/linear_model/sag.py -> build/lib.linux-armv7l-3.5/sklearn/linear_model
copying sklearn/linear_model/setup.py -> build/lib.linux-armv7l-3.5/sklearn/linear_model
copying sklearn/linear_model/stochastic_gradient.py -> build/lib.linux-armv7l-3.5/sklearn/linear_model
copying sklearn/linear_model/theil_sen.py -> build/lib.linux-armv7l-3.5/sklearn/linear_model
creating build/lib.linux-armv7l-3.5/sklearn/linear_model/tests
copying sklearn/linear_model/tests/__init__.py -> build/lib.linux-armv7l-3.5/sklearn/linear_model/tests
copying sklearn/linear_model/tests/test_base.py -> build/lib.linux-armv7l-3.5/sklearn/linear_model/tests
copying sklearn/linear_model/tests/test_bayes.py -> build/lib.linux-armv7l-3.5/sklearn/linear_model/tests
copying sklearn/linear_model/tests/test_coordinate_descent.py -> build/lib.linux-armv7l-3.5/sklearn/linear_model/tests
copying sklearn/linear_model/tests/test_least_angle.py -> build/lib.linux-armv7l-3.5/sklearn/linear_model/tests
copying sklearn/linear_model/tests/test_logistic.py -> build/lib.linux-armv7l-3.5/sklearn/linear_model/tests
copying sklearn/linear_model/tests/test_omp.py -> build/lib.linux-armv7l-3.5/sklearn/linear_model/tests
copying sklearn/linear_model/tests/test_passive_aggressive.py -> build/lib.linux-armv7l-3.5/sklearn/linear_model/tests
copying sklearn/linear_model/tests/test_perceptron.py -> build/lib.linux-armv7l-3.5/sklearn/linear_model/tests
copying sklearn/linear_model/tests/test_randomized_l1.py -> build/lib.linux-armv7l-3.5/sklearn/linear_model/tests
copying sklearn/linear_model/tests/test_ransac.py -> build/lib.linux-armv7l-3.5/sklearn/linear_model/tests
copying sklearn/linear_model/tests/test_ridge.py -> build/lib.linux-armv7l-3.5/sklearn/linear_model/tests
copying sklearn/linear_model/tests/test_sag.py -> build/lib.linux-armv7l-3.5/sklearn/linear_model/tests
copying sklearn/linear_model/tests/test_sgd.py -> build/lib.linux-armv7l-3.5/sklearn/linear_model/tests
copying sklearn/linear_model/tests/test_sparse_coordinate_descent.py -> build/lib.linux-armv7l-3.5/sklearn/linear_model/tests
copying sklearn/linear_model/tests/test_theil_sen.py -> build/lib.linux-armv7l-3.5/sklearn/linear_model/tests
creating build/lib.linux-armv7l-3.5/sklearn/tests
copying sklearn/tests/__init__.py -> build/lib.linux-armv7l-3.5/sklearn/tests
copying sklearn/tests/test_base.py -> build/lib.linux-armv7l-3.5/sklearn/tests
copying sklearn/tests/test_calibration.py -> build/lib.linux-armv7l-3.5/sklearn/tests
copying sklearn/tests/test_check_build.py -> build/lib.linux-armv7l-3.5/sklearn/tests
copying sklearn/tests/test_common.py -> build/lib.linux-armv7l-3.5/sklearn/tests
copying sklearn/tests/test_cross_validation.py -> build/lib.linux-armv7l-3.5/sklearn/tests
copying sklearn/tests/test_discriminant_analysis.py -> build/lib.linux-armv7l-3.5/sklearn/tests
copying sklearn/tests/test_dummy.py -> build/lib.linux-armv7l-3.5/sklearn/tests
copying sklearn/tests/test_grid_search.py -> build/lib.linux-armv7l-3.5/sklearn/tests
copying sklearn/tests/test_init.py -> build/lib.linux-armv7l-3.5/sklearn/tests
copying sklearn/tests/test_kernel_approximation.py -> build/lib.linux-armv7l-3.5/sklearn/tests
copying sklearn/tests/test_kernel_ridge.py -> build/lib.linux-armv7l-3.5/sklearn/tests
copying sklearn/tests/test_learning_curve.py -> build/lib.linux-armv7l-3.5/sklearn/tests
copying sklearn/tests/test_metaestimators.py -> build/lib.linux-armv7l-3.5/sklearn/tests
copying sklearn/tests/test_multiclass.py -> build/lib.linux-armv7l-3.5/sklearn/tests
copying sklearn/tests/test_naive_bayes.py -> build/lib.linux-armv7l-3.5/sklearn/tests
copying sklearn/tests/test_pipeline.py -> build/lib.linux-armv7l-3.5/sklearn/tests
copying sklearn/tests/test_random_projection.py -> build/lib.linux-armv7l-3.5/sklearn/tests
copying sklearn/tests/test_isotonic.py -> build/lib.linux-armv7l-3.5/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 -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC
creating build/temp.linux-armv7l-3.5
creating build/temp.linux-armv7l-3.5/sklearn
creating build/temp.linux-armv7l-3.5/sklearn/svm
creating build/temp.linux-armv7l-3.5/sklearn/svm/src
creating build/temp.linux-armv7l-3.5/sklearn/svm/src/libsvm
compile options: '-I/usr/lib/python3/dist-packages/numpy/core/include -c'
arm-linux-gnueabihf-g++: sklearn/svm/src/libsvm/libsvm_template.cpp
arm-linux-gnueabihf-gcc-ar: adding 1 object files to build/temp.linux-armv7l-3.5/liblibsvm-skl.a
building 'cblas' library
compiling C sources
C compiler: arm-linux-gnueabihf-gcc -pthread -DNDEBUG -g -fwrapv -O2 -Wall -g -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC
creating build/temp.linux-armv7l-3.5/sklearn/src
creating build/temp.linux-armv7l-3.5/sklearn/src/cblas
compile options: '-I/usr/lib/python3/dist-packages/numpy/core/include -c'
arm-linux-gnueabihf-gcc: sklearn/src/cblas/cblas_ddot.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' [-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:
sklearn/src/cblas/cblas_scopy.c: At top level:
sklearn/src/cblas/atlas_misc.h:393:12: warning: 'ATL_AlignOffset' defined but not used [-Wunused-function]
static int ATL_AlignOffset
^
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)
^
arm-linux-gnueabihf-gcc: sklearn/src/cblas/ATL_drefgemvT.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:393:12: warning: 'ATL_AlignOffset' defined but not used [-Wunused-function]
static int ATL_AlignOffset
^
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)
^
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:393:12: warning: 'ATL_AlignOffset' defined but not used [-Wunused-function]
static int ATL_AlignOffset
^
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)
^
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' [-Wimplicit-function-declaration]
cblas_xerbla(info, "cblas_dgemv", "");
^
In file included from sklearn/src/cblas/cblas_dgemv.c:32:0:
sklearn/src/cblas/cblas_dgemv.c: At top level:
sklearn/src/cblas/atlas_misc.h:393:12: warning: 'ATL_AlignOffset' defined but not used [-Wunused-function]
static int ATL_AlignOffset
^
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)
^
arm-linux-gnueabihf-gcc: sklearn/src/cblas/ATL_drefgemvN.c
arm-linux-gnueabihf-gcc: sklearn/src/cblas/cblas_daxpy.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' [-Wimplicit-function-declaration]
cblas_xerbla(info, "cblas_dger", "");
^
In file included from sklearn/src/cblas/cblas_dger.c:32:0:
sklearn/src/cblas/cblas_dger.c: At top level:
sklearn/src/cblas/atlas_misc.h:393:12: warning: 'ATL_AlignOffset' defined but not used [-Wunused-function]
static int ATL_AlignOffset
^
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)
^
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:393:12: warning: 'ATL_AlignOffset' defined but not used [-Wunused-function]
static int ATL_AlignOffset
^
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)
^
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:393:12: warning: 'ATL_AlignOffset' defined but not used [-Wunused-function]
static int ATL_AlignOffset
^
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)
^
arm-linux-gnueabihf-gcc: sklearn/src/cblas/ATL_srefnrm2.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:393:12: warning: 'ATL_AlignOffset' defined but not used [-Wunused-function]
static int ATL_AlignOffset
^
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)
^
arm-linux-gnueabihf-gcc: sklearn/src/cblas/cblas_errprn.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_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' [-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:
sklearn/src/cblas/cblas_dcopy.c: At top level:
sklearn/src/cblas/atlas_misc.h:393:12: warning: 'ATL_AlignOffset' defined but not used [-Wunused-function]
static int ATL_AlignOffset
^
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)
^
arm-linux-gnueabihf-gcc: sklearn/src/cblas/ATL_drefgemv.c
arm-linux-gnueabihf-gcc: sklearn/src/cblas/ATL_drefrotg.c
arm-linux-gnueabihf-gcc: sklearn/src/cblas/ATL_srefrotg.c
arm-linux-gnueabihf-gcc: sklearn/src/cblas/ATL_srefcopy.c
arm-linux-gnueabihf-gcc: sklearn/src/cblas/cblas_dscal.c
arm-linux-gnueabihf-gcc: sklearn/src/cblas/ATL_drefger.c
arm-linux-gnueabihf-gcc: sklearn/src/cblas/ATL_drefasum.c
arm-linux-gnueabihf-gcc: sklearn/src/cblas/cblas_dnrm2.c
arm-linux-gnueabihf-gcc: sklearn/src/cblas/ATL_srefrot.c
arm-linux-gnueabihf-gcc: sklearn/src/cblas/ATL_drefrot.c
arm-linux-gnueabihf-gcc: sklearn/src/cblas/cblas_snrm2.c
In file included from sklearn/src/cblas/cblas_snrm2.c:32:0:
sklearn/src/cblas/atlas_misc.h:393:12: warning: 'ATL_AlignOffset' defined but not used [-Wunused-function]
static int ATL_AlignOffset
^
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)
^
arm-linux-gnueabihf-gcc: sklearn/src/cblas/ATL_drefcopy.c
arm-linux-gnueabihf-gcc-ar: adding 28 object files to build/temp.linux-armv7l-3.5/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 -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC
creating build/temp.linux-armv7l-3.5/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/python3.5m -c'
arm-linux-gnueabihf-gcc: sklearn/__check_build/_check_build.c
arm-linux-gnueabihf-gcc -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-z,relro -Wl,-z,relro -g -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 build/temp.linux-armv7l-3.5/sklearn/__check_build/_check_build.o -Lbuild/temp.linux-armv7l-3.5 -o build/lib.linux-armv7l-3.5/sklearn/__check_build/_check_build.cpython-35m-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 -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/python3.5m -c'
arm-linux-gnueabihf-gcc: sklearn/svm/libsvm.c
In file included from /usr/lib/python3/dist-packages/numpy/core/include/numpy/ndarraytypes.h:1781:0,
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:242:
/usr/lib/python3/dist-packages/numpy/core/include/numpy/npy_1_7_deprecated_api.h:15:2: warning: #warning "Using deprecated NumPy API, disable it by " "#defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp]
#warning "Using deprecated NumPy API, disable it by " \
^
arm-linux-gnueabihf-g++ -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-z,relro -Wl,-z,relro -g -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 build/temp.linux-armv7l-3.5/sklearn/svm/libsvm.o -Lbuild/temp.linux-armv7l-3.5 -llibsvm-skl -o build/lib.linux-armv7l-3.5/sklearn/svm/libsvm.cpython-35m-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 -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/python3.5m -c'
arm-linux-gnueabihf-gcc: sklearn/svm/liblinear.c
In file included from /usr/lib/python3/dist-packages/numpy/core/include/numpy/ndarraytypes.h:1781:0,
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:242:
/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 -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC
creating build/temp.linux-armv7l-3.5/sklearn/svm/src/liblinear
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/python3.5m -c'
arm-linux-gnueabihf-g++: sklearn/svm/src/liblinear/tron.cpp
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:2361:6: warning: unused variable 'n_iter' [-Wunused-variable]
int n_iter;
^
arm-linux-gnueabihf-g++ -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-z,relro -Wl,-z,relro -g -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 build/temp.linux-armv7l-3.5/sklearn/svm/liblinear.o build/temp.linux-armv7l-3.5/sklearn/svm/src/liblinear/linear.o build/temp.linux-armv7l-3.5/sklearn/svm/src/liblinear/tron.o -Lbuild/temp.linux-armv7l-3.5 -lcblas -lm -o build/lib.linux-armv7l-3.5/sklearn/svm/liblinear.cpython-35m-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 -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/python3.5m -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:1781:0,
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:242:
/usr/lib/python3/dist-packages/numpy/core/include/numpy/npy_1_7_deprecated_api.h:15:2: warning: #warning "Using deprecated NumPy API, disable it by " "#defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp]
#warning "Using deprecated NumPy API, disable it by " \
^
arm-linux-gnueabihf-g++ -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-z,relro -Wl,-z,relro -g -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 build/temp.linux-armv7l-3.5/sklearn/svm/libsvm_sparse.o -Lbuild/temp.linux-armv7l-3.5 -llibsvm-skl -o build/lib.linux-armv7l-3.5/sklearn/svm/libsvm_sparse.cpython-35m-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 -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC
creating build/temp.linux-armv7l-3.5/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/python3.5m -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:1781:0,
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:243:
/usr/lib/python3/dist-packages/numpy/core/include/numpy/npy_1_7_deprecated_api.h:15:2: warning: #warning "Using deprecated NumPy API, disable it by " "#defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp]
#warning "Using deprecated NumPy API, disable it by " \
^
arm-linux-gnueabihf-gcc -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-z,relro -Wl,-z,relro -g -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 build/temp.linux-armv7l-3.5/sklearn/datasets/_svmlight_format.o -Lbuild/temp.linux-armv7l-3.5 -o build/lib.linux-armv7l-3.5/sklearn/datasets/_svmlight_format.cpython-35m-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 -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC
creating build/temp.linux-armv7l-3.5/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/python3.5m -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:1781:0,
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:243:
/usr/lib/python3/dist-packages/numpy/core/include/numpy/npy_1_7_deprecated_api.h:15:2: warning: #warning "Using deprecated NumPy API, disable it by " "#defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp]
#warning "Using deprecated NumPy API, disable it by " \
^
arm-linux-gnueabihf-gcc -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-z,relro -Wl,-z,relro -g -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 build/temp.linux-armv7l-3.5/sklearn/feature_extraction/_hashing.o -Lbuild/temp.linux-armv7l-3.5 -lm -o build/lib.linux-armv7l-3.5/sklearn/feature_extraction/_hashing.cpython-35m-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 -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC
creating build/temp.linux-armv7l-3.5/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/python3.5m -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:1781:0,
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:255:
/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/lib/python3/dist-packages/numpy/core/include/numpy/ndarrayobject.h:27:0,
from /usr/lib/python3/dist-packages/numpy/core/include/numpy/arrayobject.h:4,
from sklearn/cluster/_dbscan_inner.cpp:255:
/usr/lib/python3/dist-packages/numpy/core/include/numpy/__multiarray_api.h:1634:1: warning: 'int _import_array()' defined but not used [-Wunused-function]
_import_array(void)
^
arm-linux-gnueabihf-g++ -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-z,relro -Wl,-z,relro -g -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 build/temp.linux-armv7l-3.5/sklearn/cluster/_dbscan_inner.o -Lbuild/temp.linux-armv7l-3.5 -o build/lib.linux-armv7l-3.5/sklearn/cluster/_dbscan_inner.cpython-35m-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 -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/python3.5m -c'
arm-linux-gnueabihf-g++: sklearn/cluster/_hierarchical.cpp
In file included from /usr/lib/python3/dist-packages/numpy/core/include/numpy/ndarraytypes.h:1781:0,
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:314:
/usr/lib/python3/dist-packages/numpy/core/include/numpy/npy_1_7_deprecated_api.h:15:2: warning: #warning "Using deprecated NumPy API, disable it by " "#defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp]
#warning "Using deprecated NumPy API, disable it by " \
^
arm-linux-gnueabihf-g++ -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-z,relro -Wl,-z,relro -g -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 build/temp.linux-armv7l-3.5/sklearn/cluster/_hierarchical.o -Lbuild/temp.linux-armv7l-3.5 -lm -o build/lib.linux-armv7l-3.5/sklearn/cluster/_hierarchical.cpython-35m-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 -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/python3.5m -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:1781:0,
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:243:
/usr/lib/python3/dist-packages/numpy/core/include/numpy/npy_1_7_deprecated_api.h:15:2: warning: #warning "Using deprecated NumPy API, disable it by " "#defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp]
#warning "Using deprecated NumPy API, disable it by " \
^
arm-linux-gnueabihf-gcc -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-z,relro -Wl,-z,relro -g -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 build/temp.linux-armv7l-3.5/sklearn/cluster/_k_means.o -Lbuild/temp.linux-armv7l-3.5 -lcblas -lm -o build/lib.linux-armv7l-3.5/sklearn/cluster/_k_means.cpython-35m-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 -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC
creating build/temp.linux-armv7l-3.5/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/python3.5m -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:1781:0,
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:242:
/usr/lib/python3/dist-packages/numpy/core/include/numpy/npy_1_7_deprecated_api.h:15:2: warning: #warning "Using deprecated NumPy API, disable it by " "#defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp]
#warning "Using deprecated NumPy API, disable it by " \
^
arm-linux-gnueabihf-gcc -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-z,relro -Wl,-z,relro -g -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 build/temp.linux-armv7l-3.5/sklearn/decomposition/_online_lda.o -Lbuild/temp.linux-armv7l-3.5 -lm -o build/lib.linux-armv7l-3.5/sklearn/decomposition/_online_lda.cpython-35m-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 -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/python3.5m -c'
arm-linux-gnueabihf-gcc: sklearn/decomposition/cdnmf_fast.c
arm-linux-gnueabihf-gcc -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-z,relro -Wl,-z,relro -g -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 build/temp.linux-armv7l-3.5/sklearn/decomposition/cdnmf_fast.o -Lbuild/temp.linux-armv7l-3.5 -lm -o build/lib.linux-armv7l-3.5/sklearn/decomposition/cdnmf_fast.cpython-35m-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 -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC
creating build/temp.linux-armv7l-3.5/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/python3.5m -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:1781:0,
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:242:
/usr/lib/python3/dist-packages/numpy/core/include/numpy/npy_1_7_deprecated_api.h:15:2: warning: #warning "Using deprecated NumPy API, disable it by " "#defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp]
#warning "Using deprecated NumPy API, disable it by " \
^
arm-linux-gnueabihf-gcc -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-z,relro -Wl,-z,relro -g -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 build/temp.linux-armv7l-3.5/sklearn/ensemble/_gradient_boosting.o -Lbuild/temp.linux-armv7l-3.5 -o build/lib.linux-armv7l-3.5/sklearn/ensemble/_gradient_boosting.cpython-35m-arm-linux-gnueabihf.so
building 'sklearn.utils.sparsetools._traversal' extension
compiling C sources
C compiler: arm-linux-gnueabihf-gcc -pthread -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -g -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC
creating build/temp.linux-armv7l-3.5/sklearn/utils
creating build/temp.linux-armv7l-3.5/sklearn/utils/sparsetools
compile options: '-I/usr/lib/python3/dist-packages/numpy/core/include -I/usr/lib/python3/dist-packages/numpy/core/include -I/usr/include/python3.5m -c'
arm-linux-gnueabihf-gcc: sklearn/utils/sparsetools/_traversal.c
In file included from /usr/lib/python3/dist-packages/numpy/core/include/numpy/ndarraytypes.h:1781:0,
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/sparsetools/_traversal.c:242:
/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/lib/python3/dist-packages/numpy/core/include/numpy/ndarrayobject.h:27:0,
from /usr/lib/python3/dist-packages/numpy/core/include/numpy/arrayobject.h:4,
from sklearn/utils/sparsetools/_traversal.c:242:
/usr/lib/python3/dist-packages/numpy/core/include/numpy/__multiarray_api.h:1634:1: warning: '_import_array' defined but not used [-Wunused-function]
_import_array(void)
^
arm-linux-gnueabihf-gcc -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-z,relro -Wl,-z,relro -g -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 build/temp.linux-armv7l-3.5/sklearn/utils/sparsetools/_traversal.o -Lbuild/temp.linux-armv7l-3.5 -o build/lib.linux-armv7l-3.5/sklearn/utils/sparsetools/_traversal.cpython-35m-arm-linux-gnueabihf.so
building 'sklearn.utils.sparsetools._graph_tools' extension
compiling C sources
C compiler: arm-linux-gnueabihf-gcc -pthread -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes -g -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/python3.5m -c'
arm-linux-gnueabihf-gcc: sklearn/utils/sparsetools/_graph_tools.c
In file included from /usr/lib/python3/dist-packages/numpy/core/include/numpy/ndarraytypes.h:1781:0,
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/sparsetools/_graph_tools.c:242:
/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/lib/python3/dist-packages/numpy/core/include/numpy/ndarrayobject.h:27:0,
from /usr/lib/python3/dist-packages/numpy/core/include/numpy/arrayobject.h:4,
from sklearn/utils/sparsetools/_graph_tools.c:242:
/usr/lib/python3/dist-packages/numpy/core/include/numpy/__multiarray_api.h:1634:1: warning: '_import_array' defined but not used [-Wunused-function]
_import_array(void)
^
arm-linux-gnueabihf-gcc -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-z,relro -Wl,-z,relro -g -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 build/temp.linux-armv7l-3.5/sklearn/utils/sparsetools/_graph_tools.o -Lbuild/temp.linux-armv7l-3.5 -o build/lib.linux-armv7l-3.5/sklearn/utils/sparsetools/_graph_tools.cpython-35m-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 -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/include/python3.5m -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:1781:0,
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:242:
/usr/lib/python3/dist-packages/numpy/core/include/numpy/npy_1_7_deprecated_api.h:15:2: warning: #warning "Using deprecated NumPy API, disable it by " "#defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp]
#warning "Using deprecated NumPy API, disable it by " \
^
arm-linux-gnueabihf-gcc -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-z,relro -Wl,-z,relro -g -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 build/temp.linux-armv7l-3.5/sklearn/utils/sparsefuncs_fast.o -Lbuild/temp.linux-armv7l-3.5 -lm -o build/lib.linux-armv7l-3.5/sklearn/utils/sparsefuncs_fast.cpython-35m-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 -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/python3.5m -c'
arm-linux-gnueabihf-gcc: sklearn/utils/arrayfuncs.c
In file included from /usr/lib/python3/dist-packages/numpy/core/include/numpy/ndarraytypes.h:1781:0,
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:242:
/usr/lib/python3/dist-packages/numpy/core/include/numpy/npy_1_7_deprecated_api.h:15:2: warning: #warning "Using deprecated NumPy API, disable it by " "#defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp]
#warning "Using deprecated NumPy API, disable it by " \
^
arm-linux-gnueabihf-gcc -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-z,relro -Wl,-z,relro -g -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 build/temp.linux-armv7l-3.5/sklearn/utils/arrayfuncs.o -Lbuild/temp.linux-armv7l-3.5 -lcblas -lm -o build/lib.linux-armv7l-3.5/sklearn/utils/arrayfuncs.cpython-35m-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 -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC
compile options: '-Isklearn/utils/src -I/usr/lib/python3/dist-packages/numpy/core/include -I/usr/include/python3.5m -c'
arm-linux-gnueabihf-gcc: sklearn/utils/murmurhash.c
In file included from /usr/lib/python3/dist-packages/numpy/core/include/numpy/ndarraytypes.h:1781:0,
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:242:
/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 -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC
creating build/temp.linux-armv7l-3.5/sklearn/utils/src
compile options: '-Isklearn/utils/src -I/usr/lib/python3/dist-packages/numpy/core/include -I/usr/include/python3.5m -c'
arm-linux-gnueabihf-g++: sklearn/utils/src/MurmurHash3.cpp
arm-linux-gnueabihf-g++ -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-z,relro -Wl,-z,relro -g -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 build/temp.linux-armv7l-3.5/sklearn/utils/murmurhash.o build/temp.linux-armv7l-3.5/sklearn/utils/src/MurmurHash3.o -Lbuild/temp.linux-armv7l-3.5 -o build/lib.linux-armv7l-3.5/sklearn/utils/murmurhash.cpython-35m-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 -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC
compile options: '-Isklearn/utils/src -I/usr/lib/python3/dist-packages/numpy/core/include -I/usr/include/python3.5m -c'
arm-linux-gnueabihf-gcc: sklearn/utils/lgamma.c
arm-linux-gnueabihf-gcc: sklearn/utils/src/gamma.c
arm-linux-gnueabihf-gcc -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-z,relro -Wl,-z,relro -g -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 build/temp.linux-armv7l-3.5/sklearn/utils/lgamma.o build/temp.linux-armv7l-3.5/sklearn/utils/src/gamma.o -Lbuild/temp.linux-armv7l-3.5 -lm -o build/lib.linux-armv7l-3.5/sklearn/utils/lgamma.cpython-35m-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 -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/python3.5m -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:1781:0,
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:242:
/usr/lib/python3/dist-packages/numpy/core/include/numpy/npy_1_7_deprecated_api.h:15:2: warning: #warning "Using deprecated NumPy API, disable it by " "#defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp]
#warning "Using deprecated NumPy API, disable it by " \
^
arm-linux-gnueabihf-gcc -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-z,relro -Wl,-z,relro -g -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 build/temp.linux-armv7l-3.5/sklearn/utils/graph_shortest_path.o -Lbuild/temp.linux-armv7l-3.5 -o build/lib.linux-armv7l-3.5/sklearn/utils/graph_shortest_path.cpython-35m-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 -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/python3.5m -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:1781:0,
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:320:
/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:18786:44: warning: '__pyx_v_min_key' may be used uninitialized in this function [-Wmaybe-uninitialized]
return PyInt_FromLong((long)val);
^
sklearn/utils/fast_dict.cpp:3316:46: note: '__pyx_v_min_key' was declared here
__pyx_t_7sklearn_5utils_9fast_dict_ITYPE_t __pyx_v_min_key;
^
arm-linux-gnueabihf-g++ -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-z,relro -Wl,-z,relro -g -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 build/temp.linux-armv7l-3.5/sklearn/utils/fast_dict.o -Lbuild/temp.linux-armv7l-3.5 -lm -o build/lib.linux-armv7l-3.5/sklearn/utils/fast_dict.cpython-35m-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 -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/python3.5m -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:1781:0,
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:242:
/usr/lib/python3/dist-packages/numpy/core/include/numpy/npy_1_7_deprecated_api.h:15:2: warning: #warning "Using deprecated NumPy API, disable it by " "#defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp]
#warning "Using deprecated NumPy API, disable it by " \
^
arm-linux-gnueabihf-gcc -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-z,relro -Wl,-z,relro -g -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 build/temp.linux-armv7l-3.5/sklearn/utils/seq_dataset.o -Lbuild/temp.linux-armv7l-3.5 -o build/lib.linux-armv7l-3.5/sklearn/utils/seq_dataset.cpython-35m-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 -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/python3.5m -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:1781:0,
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:242:
/usr/lib/python3/dist-packages/numpy/core/include/numpy/npy_1_7_deprecated_api.h:15:2: warning: #warning "Using deprecated NumPy API, disable it by " "#defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp]
#warning "Using deprecated NumPy API, disable it by " \
^
arm-linux-gnueabihf-gcc -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-z,relro -Wl,-z,relro -g -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 build/temp.linux-armv7l-3.5/sklearn/utils/weight_vector.o -Lbuild/temp.linux-armv7l-3.5 -lcblas -lm -o build/lib.linux-armv7l-3.5/sklearn/utils/weight_vector.cpython-35m-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 -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/python3.5m -c'
arm-linux-gnueabihf-gcc: sklearn/utils/_random.c
In file included from /usr/lib/python3/dist-packages/numpy/core/include/numpy/ndarraytypes.h:1781:0,
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:242:
/usr/lib/python3/dist-packages/numpy/core/include/numpy/npy_1_7_deprecated_api.h:15:2: warning: #warning "Using deprecated NumPy API, disable it by " "#defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp]
#warning "Using deprecated NumPy API, disable it by " \
^
arm-linux-gnueabihf-gcc -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-z,relro -Wl,-z,relro -g -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 build/temp.linux-armv7l-3.5/sklearn/utils/_random.o -Lbuild/temp.linux-armv7l-3.5 -lm -o build/lib.linux-armv7l-3.5/sklearn/utils/_random.cpython-35m-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 -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/python3.5m -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:1781:0,
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:243:
/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/lib/python3/dist-packages/numpy/core/include/numpy/ndarrayobject.h:27:0,
from /usr/lib/python3/dist-packages/numpy/core/include/numpy/arrayobject.h:4,
from sklearn/utils/_logistic_sigmoid.c:243:
/usr/lib/python3/dist-packages/numpy/core/include/numpy/__multiarray_api.h:1634:1: warning: '_import_array' defined but not used [-Wunused-function]
_import_array(void)
^
arm-linux-gnueabihf-gcc -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-z,relro -Wl,-z,relro -g -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 build/temp.linux-armv7l-3.5/sklearn/utils/_logistic_sigmoid.o -Lbuild/temp.linux-armv7l-3.5 -lm -o build/lib.linux-armv7l-3.5/sklearn/utils/_logistic_sigmoid.cpython-35m-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 -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC
creating build/temp.linux-armv7l-3.5/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/python3.5m -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:1781:0,
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:242:
/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/lib/python3/dist-packages/numpy/core/include/numpy/ndarrayobject.h:27:0,
from /usr/lib/python3/dist-packages/numpy/core/include/numpy/arrayobject.h:4,
from sklearn/neighbors/ball_tree.c:242:
/usr/lib/python3/dist-packages/numpy/core/include/numpy/__multiarray_api.h:1634:1: warning: '_import_array' defined but not used [-Wunused-function]
_import_array(void)
^
arm-linux-gnueabihf-gcc -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-z,relro -Wl,-z,relro -g -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 build/temp.linux-armv7l-3.5/sklearn/neighbors/ball_tree.o -Lbuild/temp.linux-armv7l-3.5 -lm -o build/lib.linux-armv7l-3.5/sklearn/neighbors/ball_tree.cpython-35m-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 -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/python3.5m -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:1781:0,
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:242:
/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/lib/python3/dist-packages/numpy/core/include/numpy/ndarrayobject.h:27:0,
from /usr/lib/python3/dist-packages/numpy/core/include/numpy/arrayobject.h:4,
from sklearn/neighbors/kd_tree.c:242:
/usr/lib/python3/dist-packages/numpy/core/include/numpy/__multiarray_api.h:1634:1: warning: '_import_array' defined but not used [-Wunused-function]
_import_array(void)
^
sklearn/neighbors/kd_tree.c: In function '__pyx_f_7sklearn_9neighbors_7kd_tree_10BinaryTree__recursive_build':
sklearn/neighbors/kd_tree.c:21026:49: warning: '__pyx_v_j' may be used uninitialized in this function [-Wmaybe-uninitialized]
__pyx_t_7sklearn_9neighbors_8typedefs_ITYPE_t __pyx_v_j;
^
arm-linux-gnueabihf-gcc -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-z,relro -Wl,-z,relro -g -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 build/temp.linux-armv7l-3.5/sklearn/neighbors/kd_tree.o -Lbuild/temp.linux-armv7l-3.5 -lm -o build/lib.linux-armv7l-3.5/sklearn/neighbors/kd_tree.cpython-35m-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 -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/python3.5m -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:1781:0,
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:242:
/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:6384:85: 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_filename = __pyx_f[1]; __pyx_lineno = 462; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
^
sklearn/neighbors/dist_metrics.c:6183:54: 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:7177:84: 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_filename = __pyx_f[1]; __pyx_lineno = 551; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
^
sklearn/neighbors/dist_metrics.c:7095:54: 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:7880:85: 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_filename = __pyx_f[1]; __pyx_lineno = 610; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
^
sklearn/neighbors/dist_metrics.c:7689:54: 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:8708:86: 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_filename = __pyx_f[1]; __pyx_lineno = 680; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
^
sklearn/neighbors/dist_metrics.c:8462:54: note: expected 'struct __pyx_obj_7sklearn_9neighbors_12dist_metrics_MahalanobisDistance *' but argument is of type 'struct __pyx_obj_7sklearn_9neighbors_12dist_metrics_DistanceMetric *'
static __pyx_t_7sklearn_9neighbors_8typedefs_DTYPE_t __pyx_f_7sklearn_9neighbors_12dist_metrics_19MahalanobisDistance_rdist(struct __pyx_obj_7sklearn_9neighbors_12dist_metrics_MahalanobisDistance *__pyx_v_self, __pyx_t_7sklearn_9neighbors_8typedefs_DTYPE_t *__pyx_v_x1, __pyx_t_7sklearn_9neighbors_8typedefs_DTYPE_t *__pyx_v_x2, __pyx_t_7sklearn_9neighbors_8typedefs_ITYPE_t __pyx_v_size) {
^
arm-linux-gnueabihf-gcc -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-z,relro -Wl,-z,relro -g -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 build/temp.linux-armv7l-3.5/sklearn/neighbors/dist_metrics.o -Lbuild/temp.linux-armv7l-3.5 -lm -o build/lib.linux-armv7l-3.5/sklearn/neighbors/dist_metrics.cpython-35m-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 -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/python3.5m -c'
arm-linux-gnueabihf-gcc: sklearn/neighbors/typedefs.c
In file included from /usr/lib/python3/dist-packages/numpy/core/include/numpy/ndarraytypes.h:1781:0,
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:242:
/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/lib/python3/dist-packages/numpy/core/include/numpy/ndarrayobject.h:27:0,
from /usr/lib/python3/dist-packages/numpy/core/include/numpy/arrayobject.h:4,
from sklearn/neighbors/typedefs.c:242:
/usr/lib/python3/dist-packages/numpy/core/include/numpy/__multiarray_api.h:1634:1: warning: '_import_array' defined but not used [-Wunused-function]
_import_array(void)
^
arm-linux-gnueabihf-gcc -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-z,relro -Wl,-z,relro -g -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 build/temp.linux-armv7l-3.5/sklearn/neighbors/typedefs.o -Lbuild/temp.linux-armv7l-3.5 -lm -o build/lib.linux-armv7l-3.5/sklearn/neighbors/typedefs.cpython-35m-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 -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC
creating build/temp.linux-armv7l-3.5/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/python3.5m -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:1781:0,
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:243:
/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/lib/python3/dist-packages/numpy/core/include/numpy/ndarrayobject.h:27:0,
from /usr/lib/python3/dist-packages/numpy/core/include/numpy/arrayobject.h:4,
from sklearn/manifold/_utils.c:243:
/usr/lib/python3/dist-packages/numpy/core/include/numpy/__multiarray_api.h:1634:1: warning: '_import_array' defined but not used [-Wunused-function]
_import_array(void)
^
arm-linux-gnueabihf-gcc -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-z,relro -Wl,-z,relro -g -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 build/temp.linux-armv7l-3.5/sklearn/manifold/_utils.o -Lbuild/temp.linux-armv7l-3.5 -lm -o build/lib.linux-armv7l-3.5/sklearn/manifold/_utils.cpython-35m-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 -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/python3.5m -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:1781:0,
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:243:
/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/lib/python3/dist-packages/numpy/core/include/numpy/ndarrayobject.h:27:0,
from /usr/lib/python3/dist-packages/numpy/core/include/numpy/arrayobject.h:4,
from sklearn/manifold/_barnes_hut_tsne.c:243:
/usr/lib/python3/dist-packages/numpy/core/include/numpy/__multiarray_api.h:1634:1: warning: '_import_array' defined but not used [-Wunused-function]
_import_array(void)
^
arm-linux-gnueabihf-gcc -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-z,relro -Wl,-z,relro -g -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 build/temp.linux-armv7l-3.5/sklearn/manifold/_barnes_hut_tsne.o -Lbuild/temp.linux-armv7l-3.5 -lcblas -o build/lib.linux-armv7l-3.5/sklearn/manifold/_barnes_hut_tsne.cpython-35m-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 -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC
creating build/temp.linux-armv7l-3.5/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/python3.5m -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:1781:0,
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:242:
/usr/lib/python3/dist-packages/numpy/core/include/numpy/npy_1_7_deprecated_api.h:15:2: warning: #warning "Using deprecated NumPy API, disable it by " "#defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp]
#warning "Using deprecated NumPy API, disable it by " \
^
arm-linux-gnueabihf-gcc -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-z,relro -Wl,-z,relro -g -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 build/temp.linux-armv7l-3.5/sklearn/metrics/pairwise_fast.o -Lbuild/temp.linux-armv7l-3.5 -lcblas -lm -o build/lib.linux-armv7l-3.5/sklearn/metrics/pairwise_fast.cpython-35m-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 -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC
creating build/temp.linux-armv7l-3.5/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/python3.5m -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:1781:0,
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:242:
/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:11017:36: warning: passing argument 1 of '(PyObject * (*)(PyTypeObject *, PyArray_Descr *, int, npy_intp *, npy_intp *, void *, int, PyObject *))*(PyArray_API + 376u)' 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_filename = __pyx_f[0]; __pyx_lineno = 937; __pyx_clineno = __LINE__; goto __pyx_L1_error;}
^
sklearn/tree/_tree.c:11017:36: note: expected 'PyTypeObject * {aka struct _typeobject *}' but argument is of type 'PyObject * {aka struct _object *}'
arm-linux-gnueabihf-gcc -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-z,relro -Wl,-z,relro -g -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 build/temp.linux-armv7l-3.5/sklearn/tree/_tree.o -Lbuild/temp.linux-armv7l-3.5 -lm -o build/lib.linux-armv7l-3.5/sklearn/tree/_tree.cpython-35m-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 -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/python3.5m -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:1781:0,
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:242:
/usr/lib/python3/dist-packages/numpy/core/include/numpy/npy_1_7_deprecated_api.h:15:2: warning: #warning "Using deprecated NumPy API, disable it by " "#defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp]
#warning "Using deprecated NumPy API, disable it by " \
^
arm-linux-gnueabihf-gcc -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-z,relro -Wl,-z,relro -g -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 build/temp.linux-armv7l-3.5/sklearn/tree/_splitter.o -Lbuild/temp.linux-armv7l-3.5 -lm -o build/lib.linux-armv7l-3.5/sklearn/tree/_splitter.cpython-35m-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 -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/python3.5m -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:1781:0,
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:242:
/usr/lib/python3/dist-packages/numpy/core/include/numpy/npy_1_7_deprecated_api.h:15:2: warning: #warning "Using deprecated NumPy API, disable it by " "#defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp]
#warning "Using deprecated NumPy API, disable it by " \
^
arm-linux-gnueabihf-gcc -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-z,relro -Wl,-z,relro -g -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 build/temp.linux-armv7l-3.5/sklearn/tree/_criterion.o -Lbuild/temp.linux-armv7l-3.5 -lm -o build/lib.linux-armv7l-3.5/sklearn/tree/_criterion.cpython-35m-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 -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/python3.5m -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:1781:0,
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:242:
/usr/lib/python3/dist-packages/numpy/core/include/numpy/npy_1_7_deprecated_api.h:15:2: warning: #warning "Using deprecated NumPy API, disable it by " "#defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp]
#warning "Using deprecated NumPy API, disable it by " \
^
arm-linux-gnueabihf-gcc -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-z,relro -Wl,-z,relro -g -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 build/temp.linux-armv7l-3.5/sklearn/tree/_utils.o -Lbuild/temp.linux-armv7l-3.5 -lm -o build/lib.linux-armv7l-3.5/sklearn/tree/_utils.cpython-35m-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 -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC
creating build/temp.linux-armv7l-3.5/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/python3.5m -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:1781:0,
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:243:
/usr/lib/python3/dist-packages/numpy/core/include/numpy/npy_1_7_deprecated_api.h:15:2: warning: #warning "Using deprecated NumPy API, disable it by " "#defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp]
#warning "Using deprecated NumPy API, disable it by " \
^
arm-linux-gnueabihf-gcc -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-z,relro -Wl,-z,relro -g -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 build/temp.linux-armv7l-3.5/sklearn/metrics/cluster/expected_mutual_info_fast.o -Lbuild/temp.linux-armv7l-3.5 -lm -o build/lib.linux-armv7l-3.5/sklearn/metrics/cluster/expected_mutual_info_fast.cpython-35m-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 -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/python3.5m -c'
arm-linux-gnueabihf-gcc: sklearn/_isotonic.c
In file included from /usr/lib/python3/dist-packages/numpy/core/include/numpy/ndarraytypes.h:1781:0,
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:242:
/usr/lib/python3/dist-packages/numpy/core/include/numpy/npy_1_7_deprecated_api.h:15:2: warning: #warning "Using deprecated NumPy API, disable it by " "#defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp]
#warning "Using deprecated NumPy API, disable it by " \
^
arm-linux-gnueabihf-gcc -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-z,relro -Wl,-z,relro -g -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 build/temp.linux-armv7l-3.5/sklearn/_isotonic.o -Lbuild/temp.linux-armv7l-3.5 -lm -o build/lib.linux-armv7l-3.5/sklearn/_isotonic.cpython-35m-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 -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC
creating build/temp.linux-armv7l-3.5/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/python3.5m -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:1781:0,
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:243:
/usr/lib/python3/dist-packages/numpy/core/include/numpy/npy_1_7_deprecated_api.h:15:2: warning: #warning "Using deprecated NumPy API, disable it by " "#defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp]
#warning "Using deprecated NumPy API, disable it by " \
^
arm-linux-gnueabihf-gcc -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-z,relro -Wl,-z,relro -g -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 build/temp.linux-armv7l-3.5/sklearn/linear_model/cd_fast.o -Lbuild/temp.linux-armv7l-3.5 -lcblas -lm -o build/lib.linux-armv7l-3.5/sklearn/linear_model/cd_fast.cpython-35m-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 -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/python3.5m -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:1781:0,
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:243:
/usr/lib/python3/dist-packages/numpy/core/include/numpy/npy_1_7_deprecated_api.h:15:2: warning: #warning "Using deprecated NumPy API, disable it by " "#defining NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" [-Wcpp]
#warning "Using deprecated NumPy API, disable it by " \
^
arm-linux-gnueabihf-gcc -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-z,relro -Wl,-z,relro -g -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 build/temp.linux-armv7l-3.5/sklearn/linear_model/sgd_fast.o -Lbuild/temp.linux-armv7l-3.5 -lcblas -lm -o build/lib.linux-armv7l-3.5/sklearn/linear_model/sgd_fast.cpython-35m-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 -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/python3.5m -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:1781:0,
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:242:
/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/lib/python3/dist-packages/numpy/core/include/numpy/ndarrayobject.h:27:0,
from /usr/lib/python3/dist-packages/numpy/core/include/numpy/arrayobject.h:4,
from sklearn/linear_model/sag_fast.c:242:
/usr/lib/python3/dist-packages/numpy/core/include/numpy/__multiarray_api.h:1634:1: warning: '_import_array' defined but not used [-Wunused-function]
_import_array(void)
^
sklearn/linear_model/sag_fast.c: In function '__pyx_pf_7sklearn_12linear_model_8sag_fast_2get_max_squared_sum.isra.11':
sklearn/linear_model/sag_fast.c:4001:32: warning: '__pyx_v_x_data_ptr' may be used uninitialized in this function [-Wmaybe-uninitialized]
__pyx_v_x_data_ptr = (__pyx_v_x_data_ptr + __pyx_v_stride);
^
sklearn/linear_model/sag_fast.c:4001:54: warning: '__pyx_v_stride' may be used uninitialized in this function [-Wmaybe-uninitialized]
__pyx_v_x_data_ptr = (__pyx_v_x_data_ptr + __pyx_v_stride);
^
sklearn/linear_model/sag_fast.c:3618:8: warning: '__pyx_v_X_indptr_ptr' may be used uninitialized in this function [-Wmaybe-uninitialized]
int *__pyx_v_X_indptr_ptr;
^
sklearn/linear_model/sag_fast.c:3981:32: warning: '__pyx_v_X_data_ptr' may be used uninitialized in this function [-Wmaybe-uninitialized]
__pyx_v_x_data_ptr = (__pyx_v_X_data_ptr + __pyx_v_offset);
^
arm-linux-gnueabihf-gcc -pthread -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-z,relro -Wl,-z,relro -g -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 build/temp.linux-armv7l-3.5/sklearn/linear_model/sag_fast.o -Lbuild/temp.linux-armv7l-3.5 -o build/lib.linux-armv7l-3.5/sklearn/linear_model/sag_fast.cpython-35m-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-3.5/sklearn/__init__.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn
copying build/lib.linux-armv7l-3.5/sklearn/_build_utils.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn
copying build/lib.linux-armv7l-3.5/sklearn/base.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn
copying build/lib.linux-armv7l-3.5/sklearn/calibration.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn
copying build/lib.linux-armv7l-3.5/sklearn/cross_validation.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn
copying build/lib.linux-armv7l-3.5/sklearn/discriminant_analysis.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn
copying build/lib.linux-armv7l-3.5/sklearn/dummy.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn
copying build/lib.linux-armv7l-3.5/sklearn/grid_search.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn
copying build/lib.linux-armv7l-3.5/sklearn/isotonic.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn
copying build/lib.linux-armv7l-3.5/sklearn/kernel_approximation.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn
copying build/lib.linux-armv7l-3.5/sklearn/kernel_ridge.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn
copying build/lib.linux-armv7l-3.5/sklearn/lda.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn
copying build/lib.linux-armv7l-3.5/sklearn/learning_curve.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn
copying build/lib.linux-armv7l-3.5/sklearn/multiclass.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn
copying build/lib.linux-armv7l-3.5/sklearn/naive_bayes.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn
copying build/lib.linux-armv7l-3.5/sklearn/pipeline.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn
copying build/lib.linux-armv7l-3.5/sklearn/qda.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn
copying build/lib.linux-armv7l-3.5/sklearn/random_projection.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn
copying build/lib.linux-armv7l-3.5/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-3.5/sklearn/__check_build/__init__.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/__check_build
copying build/lib.linux-armv7l-3.5/sklearn/__check_build/setup.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/__check_build
copying build/lib.linux-armv7l-3.5/sklearn/__check_build/_check_build.cpython-35m-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/svm
copying build/lib.linux-armv7l-3.5/sklearn/svm/__init__.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/svm
copying build/lib.linux-armv7l-3.5/sklearn/svm/base.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/svm
copying build/lib.linux-armv7l-3.5/sklearn/svm/bounds.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/svm
copying build/lib.linux-armv7l-3.5/sklearn/svm/classes.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/svm
copying build/lib.linux-armv7l-3.5/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-3.5/sklearn/svm/tests/__init__.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/svm/tests
copying build/lib.linux-armv7l-3.5/sklearn/svm/tests/test_bounds.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/svm/tests
copying build/lib.linux-armv7l-3.5/sklearn/svm/tests/test_sparse.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/svm/tests
copying build/lib.linux-armv7l-3.5/sklearn/svm/tests/test_svm.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/svm/tests
copying build/lib.linux-armv7l-3.5/sklearn/svm/libsvm.cpython-35m-arm-linux-gnueabihf.so -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/svm
copying build/lib.linux-armv7l-3.5/sklearn/svm/liblinear.cpython-35m-arm-linux-gnueabihf.so -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/svm
copying build/lib.linux-armv7l-3.5/sklearn/svm/libsvm_sparse.cpython-35m-arm-linux-gnueabihf.so -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/svm
creating /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/datasets
copying build/lib.linux-armv7l-3.5/sklearn/datasets/__init__.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/datasets
copying build/lib.linux-armv7l-3.5/sklearn/datasets/base.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/datasets
copying build/lib.linux-armv7l-3.5/sklearn/datasets/california_housing.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/datasets
copying build/lib.linux-armv7l-3.5/sklearn/datasets/covtype.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/datasets
copying build/lib.linux-armv7l-3.5/sklearn/datasets/mlcomp.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/datasets
copying build/lib.linux-armv7l-3.5/sklearn/datasets/mldata.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/datasets
copying build/lib.linux-armv7l-3.5/sklearn/datasets/olivetti_faces.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/datasets
copying build/lib.linux-armv7l-3.5/sklearn/datasets/rcv1.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/datasets
copying build/lib.linux-armv7l-3.5/sklearn/datasets/samples_generator.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/datasets
copying build/lib.linux-armv7l-3.5/sklearn/datasets/setup.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/datasets
copying build/lib.linux-armv7l-3.5/sklearn/datasets/species_distributions.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/datasets
copying build/lib.linux-armv7l-3.5/sklearn/datasets/svmlight_format.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/datasets
copying build/lib.linux-armv7l-3.5/sklearn/datasets/twenty_newsgroups.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/datasets
copying build/lib.linux-armv7l-3.5/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-3.5/sklearn/datasets/tests/__init__.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/datasets/tests
copying build/lib.linux-armv7l-3.5/sklearn/datasets/tests/test_20news.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/datasets/tests
copying build/lib.linux-armv7l-3.5/sklearn/datasets/tests/test_base.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/datasets/tests
copying build/lib.linux-armv7l-3.5/sklearn/datasets/tests/test_covtype.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/datasets/tests
copying build/lib.linux-armv7l-3.5/sklearn/datasets/tests/test_lfw.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/datasets/tests
copying build/lib.linux-armv7l-3.5/sklearn/datasets/tests/test_mldata.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/datasets/tests
copying build/lib.linux-armv7l-3.5/sklearn/datasets/tests/test_rcv1.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/datasets/tests
copying build/lib.linux-armv7l-3.5/sklearn/datasets/tests/test_samples_generator.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/datasets/tests
copying build/lib.linux-armv7l-3.5/sklearn/datasets/tests/test_svmlight_format.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/datasets/tests
copying build/lib.linux-armv7l-3.5/sklearn/datasets/_svmlight_format.cpython-35m-arm-linux-gnueabihf.so -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/datasets
creating /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/feature_extraction
copying build/lib.linux-armv7l-3.5/sklearn/feature_extraction/__init__.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/feature_extraction
copying build/lib.linux-armv7l-3.5/sklearn/feature_extraction/dict_vectorizer.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/feature_extraction
copying build/lib.linux-armv7l-3.5/sklearn/feature_extraction/hashing.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/feature_extraction
copying build/lib.linux-armv7l-3.5/sklearn/feature_extraction/image.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/feature_extraction
copying build/lib.linux-armv7l-3.5/sklearn/feature_extraction/setup.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/feature_extraction
copying build/lib.linux-armv7l-3.5/sklearn/feature_extraction/stop_words.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/feature_extraction
copying build/lib.linux-armv7l-3.5/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-3.5/sklearn/feature_extraction/tests/__init__.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/feature_extraction/tests
copying build/lib.linux-armv7l-3.5/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-3.5/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-3.5/sklearn/feature_extraction/tests/test_image.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/feature_extraction/tests
copying build/lib.linux-armv7l-3.5/sklearn/feature_extraction/tests/test_text.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/feature_extraction/tests
copying build/lib.linux-armv7l-3.5/sklearn/feature_extraction/_hashing.cpython-35m-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/cluster
copying build/lib.linux-armv7l-3.5/sklearn/cluster/__init__.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster
copying build/lib.linux-armv7l-3.5/sklearn/cluster/_feature_agglomeration.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster
copying build/lib.linux-armv7l-3.5/sklearn/cluster/affinity_propagation_.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster
copying build/lib.linux-armv7l-3.5/sklearn/cluster/bicluster.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster
copying build/lib.linux-armv7l-3.5/sklearn/cluster/birch.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster
copying build/lib.linux-armv7l-3.5/sklearn/cluster/dbscan_.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster
copying build/lib.linux-armv7l-3.5/sklearn/cluster/hierarchical.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster
copying build/lib.linux-armv7l-3.5/sklearn/cluster/k_means_.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster
copying build/lib.linux-armv7l-3.5/sklearn/cluster/mean_shift_.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster
copying build/lib.linux-armv7l-3.5/sklearn/cluster/setup.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster
copying build/lib.linux-armv7l-3.5/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-3.5/sklearn/cluster/tests/__init__.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/tests
copying build/lib.linux-armv7l-3.5/sklearn/cluster/tests/common.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/tests
copying build/lib.linux-armv7l-3.5/sklearn/cluster/tests/test_affinity_propagation.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/tests
copying build/lib.linux-armv7l-3.5/sklearn/cluster/tests/test_bicluster.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/tests
copying build/lib.linux-armv7l-3.5/sklearn/cluster/tests/test_birch.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/tests
copying build/lib.linux-armv7l-3.5/sklearn/cluster/tests/test_dbscan.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/tests
copying build/lib.linux-armv7l-3.5/sklearn/cluster/tests/test_hierarchical.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/tests
copying build/lib.linux-armv7l-3.5/sklearn/cluster/tests/test_k_means.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/tests
copying build/lib.linux-armv7l-3.5/sklearn/cluster/tests/test_mean_shift.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/tests
copying build/lib.linux-armv7l-3.5/sklearn/cluster/tests/test_spectral.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/tests
copying build/lib.linux-armv7l-3.5/sklearn/cluster/_dbscan_inner.cpython-35m-arm-linux-gnueabihf.so -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster
copying build/lib.linux-armv7l-3.5/sklearn/cluster/_hierarchical.cpython-35m-arm-linux-gnueabihf.so -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster
copying build/lib.linux-armv7l-3.5/sklearn/cluster/_k_means.cpython-35m-arm-linux-gnueabihf.so -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster
creating /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/covariance
copying build/lib.linux-armv7l-3.5/sklearn/covariance/__init__.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/covariance
copying build/lib.linux-armv7l-3.5/sklearn/covariance/empirical_covariance_.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/covariance
copying build/lib.linux-armv7l-3.5/sklearn/covariance/graph_lasso_.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/covariance
copying build/lib.linux-armv7l-3.5/sklearn/covariance/outlier_detection.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/covariance
copying build/lib.linux-armv7l-3.5/sklearn/covariance/robust_covariance.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/covariance
copying build/lib.linux-armv7l-3.5/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-3.5/sklearn/covariance/tests/__init__.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/covariance/tests
copying build/lib.linux-armv7l-3.5/sklearn/covariance/tests/test_covariance.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/covariance/tests
copying build/lib.linux-armv7l-3.5/sklearn/covariance/tests/test_graph_lasso.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/covariance/tests
copying build/lib.linux-armv7l-3.5/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-3.5/sklearn/cross_decomposition/__init__.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cross_decomposition
copying build/lib.linux-armv7l-3.5/sklearn/cross_decomposition/cca_.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cross_decomposition
copying build/lib.linux-armv7l-3.5/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/decomposition
copying build/lib.linux-armv7l-3.5/sklearn/decomposition/__init__.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/decomposition
copying build/lib.linux-armv7l-3.5/sklearn/decomposition/base.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/decomposition
copying build/lib.linux-armv7l-3.5/sklearn/decomposition/dict_learning.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/decomposition
copying build/lib.linux-armv7l-3.5/sklearn/decomposition/factor_analysis.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/decomposition
copying build/lib.linux-armv7l-3.5/sklearn/decomposition/fastica_.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/decomposition
copying build/lib.linux-armv7l-3.5/sklearn/decomposition/incremental_pca.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/decomposition
copying build/lib.linux-armv7l-3.5/sklearn/decomposition/kernel_pca.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/decomposition
copying build/lib.linux-armv7l-3.5/sklearn/decomposition/nmf.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/decomposition
copying build/lib.linux-armv7l-3.5/sklearn/decomposition/online_lda.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/decomposition
copying build/lib.linux-armv7l-3.5/sklearn/decomposition/pca.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/decomposition
copying build/lib.linux-armv7l-3.5/sklearn/decomposition/setup.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/decomposition
copying build/lib.linux-armv7l-3.5/sklearn/decomposition/sparse_pca.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/decomposition
copying build/lib.linux-armv7l-3.5/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-3.5/sklearn/decomposition/tests/__init__.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/decomposition/tests
copying build/lib.linux-armv7l-3.5/sklearn/decomposition/tests/test_dict_learning.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/decomposition/tests
copying build/lib.linux-armv7l-3.5/sklearn/decomposition/tests/test_factor_analysis.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/decomposition/tests
copying build/lib.linux-armv7l-3.5/sklearn/decomposition/tests/test_fastica.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/decomposition/tests
copying build/lib.linux-armv7l-3.5/sklearn/decomposition/tests/test_incremental_pca.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/decomposition/tests
copying build/lib.linux-armv7l-3.5/sklearn/decomposition/tests/test_kernel_pca.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/decomposition/tests
copying build/lib.linux-armv7l-3.5/sklearn/decomposition/tests/test_nmf.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/decomposition/tests
copying build/lib.linux-armv7l-3.5/sklearn/decomposition/tests/test_online_lda.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/decomposition/tests
copying build/lib.linux-armv7l-3.5/sklearn/decomposition/tests/test_pca.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/decomposition/tests
copying build/lib.linux-armv7l-3.5/sklearn/decomposition/tests/test_sparse_pca.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/decomposition/tests
copying build/lib.linux-armv7l-3.5/sklearn/decomposition/tests/test_truncated_svd.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/decomposition/tests
copying build/lib.linux-armv7l-3.5/sklearn/decomposition/_online_lda.cpython-35m-arm-linux-gnueabihf.so -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/decomposition
copying build/lib.linux-armv7l-3.5/sklearn/decomposition/cdnmf_fast.cpython-35m-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-3.5/sklearn/ensemble/__init__.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/ensemble
copying build/lib.linux-armv7l-3.5/sklearn/ensemble/bagging.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/ensemble
copying build/lib.linux-armv7l-3.5/sklearn/ensemble/base.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/ensemble
copying build/lib.linux-armv7l-3.5/sklearn/ensemble/forest.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/ensemble
copying build/lib.linux-armv7l-3.5/sklearn/ensemble/gradient_boosting.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/ensemble
copying build/lib.linux-armv7l-3.5/sklearn/ensemble/partial_dependence.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/ensemble
copying build/lib.linux-armv7l-3.5/sklearn/ensemble/setup.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/ensemble
copying build/lib.linux-armv7l-3.5/sklearn/ensemble/voting_classifier.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/ensemble
copying build/lib.linux-armv7l-3.5/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-3.5/sklearn/ensemble/tests/__init__.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/ensemble/tests
copying build/lib.linux-armv7l-3.5/sklearn/ensemble/tests/test_bagging.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/ensemble/tests
copying build/lib.linux-armv7l-3.5/sklearn/ensemble/tests/test_base.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/ensemble/tests
copying build/lib.linux-armv7l-3.5/sklearn/ensemble/tests/test_forest.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/ensemble/tests
copying build/lib.linux-armv7l-3.5/sklearn/ensemble/tests/test_gradient_boosting.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/ensemble/tests
copying build/lib.linux-armv7l-3.5/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-3.5/sklearn/ensemble/tests/test_partial_dependence.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/ensemble/tests
copying build/lib.linux-armv7l-3.5/sklearn/ensemble/tests/test_voting_classifier.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/ensemble/tests
copying build/lib.linux-armv7l-3.5/sklearn/ensemble/tests/test_weight_boosting.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/ensemble/tests
copying build/lib.linux-armv7l-3.5/sklearn/ensemble/_gradient_boosting.cpython-35m-arm-linux-gnueabihf.so -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/ensemble
creating /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/feature_selection
copying build/lib.linux-armv7l-3.5/sklearn/feature_selection/__init__.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/feature_selection
copying build/lib.linux-armv7l-3.5/sklearn/feature_selection/base.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/feature_selection
copying build/lib.linux-armv7l-3.5/sklearn/feature_selection/from_model.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/feature_selection
copying build/lib.linux-armv7l-3.5/sklearn/feature_selection/rfe.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/feature_selection
copying build/lib.linux-armv7l-3.5/sklearn/feature_selection/variance_threshold.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/feature_selection
copying build/lib.linux-armv7l-3.5/sklearn/feature_selection/univariate_selection.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-3.5/sklearn/feature_selection/tests/__init__.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/feature_selection/tests
copying build/lib.linux-armv7l-3.5/sklearn/feature_selection/tests/test_base.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/feature_selection/tests
copying build/lib.linux-armv7l-3.5/sklearn/feature_selection/tests/test_chi2.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/feature_selection/tests
copying build/lib.linux-armv7l-3.5/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-3.5/sklearn/feature_selection/tests/test_rfe.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/feature_selection/tests
copying build/lib.linux-armv7l-3.5/sklearn/feature_selection/tests/test_variance_threshold.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/feature_selection/tests
copying build/lib.linux-armv7l-3.5/sklearn/feature_selection/tests/test_from_model.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/feature_selection/tests
creating /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils
copying build/lib.linux-armv7l-3.5/sklearn/utils/__init__.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils
copying build/lib.linux-armv7l-3.5/sklearn/utils/_scipy_sparse_lsqr_backport.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils
copying build/lib.linux-armv7l-3.5/sklearn/utils/arpack.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils
copying build/lib.linux-armv7l-3.5/sklearn/utils/bench.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils
copying build/lib.linux-armv7l-3.5/sklearn/utils/class_weight.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils
copying build/lib.linux-armv7l-3.5/sklearn/utils/estimator_checks.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils
copying build/lib.linux-armv7l-3.5/sklearn/utils/extmath.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils
copying build/lib.linux-armv7l-3.5/sklearn/utils/fixes.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils
copying build/lib.linux-armv7l-3.5/sklearn/utils/graph.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils
copying build/lib.linux-armv7l-3.5/sklearn/utils/linear_assignment_.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils
copying build/lib.linux-armv7l-3.5/sklearn/utils/metaestimators.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils
copying build/lib.linux-armv7l-3.5/sklearn/utils/mocking.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils
copying build/lib.linux-armv7l-3.5/sklearn/utils/multiclass.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils
copying build/lib.linux-armv7l-3.5/sklearn/utils/optimize.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils
copying build/lib.linux-armv7l-3.5/sklearn/utils/random.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils
copying build/lib.linux-armv7l-3.5/sklearn/utils/setup.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils
copying build/lib.linux-armv7l-3.5/sklearn/utils/sparsefuncs.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils
copying build/lib.linux-armv7l-3.5/sklearn/utils/stats.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils
copying build/lib.linux-armv7l-3.5/sklearn/utils/testing.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils
copying build/lib.linux-armv7l-3.5/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-3.5/sklearn/utils/sparsetools/__init__.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/sparsetools
copying build/lib.linux-armv7l-3.5/sklearn/utils/sparsetools/_graph_validation.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/sparsetools
copying build/lib.linux-armv7l-3.5/sklearn/utils/sparsetools/setup.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/sparsetools
copying build/lib.linux-armv7l-3.5/sklearn/utils/sparsetools/_traversal.cpython-35m-arm-linux-gnueabihf.so -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/sparsetools
copying build/lib.linux-armv7l-3.5/sklearn/utils/sparsetools/_graph_tools.cpython-35m-arm-linux-gnueabihf.so -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/sparsetools
creating /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/tests
copying build/lib.linux-armv7l-3.5/sklearn/utils/tests/__init__.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/tests
copying build/lib.linux-armv7l-3.5/sklearn/utils/tests/test_bench.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/tests
copying build/lib.linux-armv7l-3.5/sklearn/utils/tests/test_class_weight.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/tests
copying build/lib.linux-armv7l-3.5/sklearn/utils/tests/test_estimator_checks.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/tests
copying build/lib.linux-armv7l-3.5/sklearn/utils/tests/test_extmath.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/tests
copying build/lib.linux-armv7l-3.5/sklearn/utils/tests/test_fast_dict.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/tests
copying build/lib.linux-armv7l-3.5/sklearn/utils/tests/test_fixes.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/tests
copying build/lib.linux-armv7l-3.5/sklearn/utils/tests/test_graph.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/tests
copying build/lib.linux-armv7l-3.5/sklearn/utils/tests/test_linear_assignment.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/tests
copying build/lib.linux-armv7l-3.5/sklearn/utils/tests/test_metaestimators.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/tests
copying build/lib.linux-armv7l-3.5/sklearn/utils/tests/test_multiclass.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/tests
copying build/lib.linux-armv7l-3.5/sklearn/utils/tests/test_murmurhash.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/tests
copying build/lib.linux-armv7l-3.5/sklearn/utils/tests/test_optimize.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/tests
copying build/lib.linux-armv7l-3.5/sklearn/utils/tests/test_random.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/tests
copying build/lib.linux-armv7l-3.5/sklearn/utils/tests/test_seq_dataset.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/tests
copying build/lib.linux-armv7l-3.5/sklearn/utils/tests/test_shortest_path.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/tests
copying build/lib.linux-armv7l-3.5/sklearn/utils/tests/test_sparsefuncs.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/tests
copying build/lib.linux-armv7l-3.5/sklearn/utils/tests/test_stats.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/tests
copying build/lib.linux-armv7l-3.5/sklearn/utils/tests/test_testing.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/tests
copying build/lib.linux-armv7l-3.5/sklearn/utils/tests/test_utils.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/tests
copying build/lib.linux-armv7l-3.5/sklearn/utils/tests/test_validation.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/tests
copying build/lib.linux-armv7l-3.5/sklearn/utils/sparsefuncs_fast.cpython-35m-arm-linux-gnueabihf.so -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils
copying build/lib.linux-armv7l-3.5/sklearn/utils/arrayfuncs.cpython-35m-arm-linux-gnueabihf.so -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils
copying build/lib.linux-armv7l-3.5/sklearn/utils/murmurhash.cpython-35m-arm-linux-gnueabihf.so -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils
copying build/lib.linux-armv7l-3.5/sklearn/utils/lgamma.cpython-35m-arm-linux-gnueabihf.so -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils
copying build/lib.linux-armv7l-3.5/sklearn/utils/graph_shortest_path.cpython-35m-arm-linux-gnueabihf.so -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils
copying build/lib.linux-armv7l-3.5/sklearn/utils/fast_dict.cpython-35m-arm-linux-gnueabihf.so -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils
copying build/lib.linux-armv7l-3.5/sklearn/utils/seq_dataset.cpython-35m-arm-linux-gnueabihf.so -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils
copying build/lib.linux-armv7l-3.5/sklearn/utils/weight_vector.cpython-35m-arm-linux-gnueabihf.so -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils
copying build/lib.linux-armv7l-3.5/sklearn/utils/_random.cpython-35m-arm-linux-gnueabihf.so -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils
copying build/lib.linux-armv7l-3.5/sklearn/utils/_logistic_sigmoid.cpython-35m-arm-linux-gnueabihf.so -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils
creating /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/externals
copying build/lib.linux-armv7l-3.5/sklearn/externals/__init__.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/externals
copying build/lib.linux-armv7l-3.5/sklearn/externals/funcsigs.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/externals
copying build/lib.linux-armv7l-3.5/sklearn/externals/odict.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/externals
copying build/lib.linux-armv7l-3.5/sklearn/externals/setup.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/externals
copying build/lib.linux-armv7l-3.5/sklearn/externals/six.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/externals
copying build/lib.linux-armv7l-3.5/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-3.5/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/mixture
copying build/lib.linux-armv7l-3.5/sklearn/mixture/__init__.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/mixture
copying build/lib.linux-armv7l-3.5/sklearn/mixture/dpgmm.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/mixture
copying build/lib.linux-armv7l-3.5/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-3.5/sklearn/mixture/tests/__init__.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/mixture/tests
copying build/lib.linux-armv7l-3.5/sklearn/mixture/tests/test_dpgmm.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/mixture/tests
copying build/lib.linux-armv7l-3.5/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/gaussian_process
copying build/lib.linux-armv7l-3.5/sklearn/gaussian_process/__init__.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/gaussian_process
copying build/lib.linux-armv7l-3.5/sklearn/gaussian_process/correlation_models.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/gaussian_process
copying build/lib.linux-armv7l-3.5/sklearn/gaussian_process/gaussian_process.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/gaussian_process
copying build/lib.linux-armv7l-3.5/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-3.5/sklearn/gaussian_process/tests/__init__.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/gaussian_process/tests
copying build/lib.linux-armv7l-3.5/sklearn/gaussian_process/tests/test_gaussian_process.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/gaussian_process/tests
creating /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/neighbors
copying build/lib.linux-armv7l-3.5/sklearn/neighbors/__init__.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/neighbors
copying build/lib.linux-armv7l-3.5/sklearn/neighbors/approximate.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/neighbors
copying build/lib.linux-armv7l-3.5/sklearn/neighbors/base.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/neighbors
copying build/lib.linux-armv7l-3.5/sklearn/neighbors/classification.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/neighbors
copying build/lib.linux-armv7l-3.5/sklearn/neighbors/graph.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/neighbors
copying build/lib.linux-armv7l-3.5/sklearn/neighbors/kde.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/neighbors
copying build/lib.linux-armv7l-3.5/sklearn/neighbors/nearest_centroid.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/neighbors
copying build/lib.linux-armv7l-3.5/sklearn/neighbors/regression.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/neighbors
copying build/lib.linux-armv7l-3.5/sklearn/neighbors/setup.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/neighbors
copying build/lib.linux-armv7l-3.5/sklearn/neighbors/unsupervised.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/neighbors
copying build/lib.linux-armv7l-3.5/sklearn/neighbors/ball_tree.cpython-35m-arm-linux-gnueabihf.so -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/neighbors
copying build/lib.linux-armv7l-3.5/sklearn/neighbors/kd_tree.cpython-35m-arm-linux-gnueabihf.so -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/neighbors
copying build/lib.linux-armv7l-3.5/sklearn/neighbors/dist_metrics.cpython-35m-arm-linux-gnueabihf.so -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/neighbors
copying build/lib.linux-armv7l-3.5/sklearn/neighbors/typedefs.cpython-35m-arm-linux-gnueabihf.so -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/neighbors
creating /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/neural_network
copying build/lib.linux-armv7l-3.5/sklearn/neural_network/__init__.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/neural_network
copying build/lib.linux-armv7l-3.5/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/preprocessing
copying build/lib.linux-armv7l-3.5/sklearn/preprocessing/__init__.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/preprocessing
copying build/lib.linux-armv7l-3.5/sklearn/preprocessing/_function_transformer.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/preprocessing
copying build/lib.linux-armv7l-3.5/sklearn/preprocessing/_weights.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/preprocessing
copying build/lib.linux-armv7l-3.5/sklearn/preprocessing/data.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/preprocessing
copying build/lib.linux-armv7l-3.5/sklearn/preprocessing/imputation.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/preprocessing
copying build/lib.linux-armv7l-3.5/sklearn/preprocessing/label.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/preprocessing
creating /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/manifold
copying build/lib.linux-armv7l-3.5/sklearn/manifold/__init__.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/manifold
copying build/lib.linux-armv7l-3.5/sklearn/manifold/isomap.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/manifold
copying build/lib.linux-armv7l-3.5/sklearn/manifold/locally_linear.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/manifold
copying build/lib.linux-armv7l-3.5/sklearn/manifold/mds.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/manifold
copying build/lib.linux-armv7l-3.5/sklearn/manifold/setup.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/manifold
copying build/lib.linux-armv7l-3.5/sklearn/manifold/spectral_embedding_.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/manifold
copying build/lib.linux-armv7l-3.5/sklearn/manifold/t_sne.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/manifold
copying build/lib.linux-armv7l-3.5/sklearn/manifold/_utils.cpython-35m-arm-linux-gnueabihf.so -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/manifold
copying build/lib.linux-armv7l-3.5/sklearn/manifold/_barnes_hut_tsne.cpython-35m-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-3.5/sklearn/metrics/__init__.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/metrics
copying build/lib.linux-armv7l-3.5/sklearn/metrics/base.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/metrics
copying build/lib.linux-armv7l-3.5/sklearn/metrics/classification.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/metrics
copying build/lib.linux-armv7l-3.5/sklearn/metrics/metrics.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/metrics
copying build/lib.linux-armv7l-3.5/sklearn/metrics/ranking.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/metrics
copying build/lib.linux-armv7l-3.5/sklearn/metrics/regression.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/metrics
copying build/lib.linux-armv7l-3.5/sklearn/metrics/scorer.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/metrics
copying build/lib.linux-armv7l-3.5/sklearn/metrics/setup.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/metrics
copying build/lib.linux-armv7l-3.5/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-3.5/sklearn/metrics/tests/__init__.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/metrics/tests
copying build/lib.linux-armv7l-3.5/sklearn/metrics/tests/test_classification.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/metrics/tests
copying build/lib.linux-armv7l-3.5/sklearn/metrics/tests/test_common.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/metrics/tests
copying build/lib.linux-armv7l-3.5/sklearn/metrics/tests/test_pairwise.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/metrics/tests
copying build/lib.linux-armv7l-3.5/sklearn/metrics/tests/test_regression.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/metrics/tests
copying build/lib.linux-armv7l-3.5/sklearn/metrics/tests/test_score_objects.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/metrics/tests
copying build/lib.linux-armv7l-3.5/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-3.5/sklearn/metrics/cluster/__init__.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/metrics/cluster
copying build/lib.linux-armv7l-3.5/sklearn/metrics/cluster/bicluster.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/metrics/cluster
copying build/lib.linux-armv7l-3.5/sklearn/metrics/cluster/setup.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/metrics/cluster
copying build/lib.linux-armv7l-3.5/sklearn/metrics/cluster/supervised.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/metrics/cluster
copying build/lib.linux-armv7l-3.5/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-3.5/sklearn/metrics/cluster/tests/__init__.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/metrics/cluster/tests
copying build/lib.linux-armv7l-3.5/sklearn/metrics/cluster/tests/test_bicluster.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/metrics/cluster/tests
copying build/lib.linux-armv7l-3.5/sklearn/metrics/cluster/tests/test_supervised.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/metrics/cluster/tests
copying build/lib.linux-armv7l-3.5/sklearn/metrics/cluster/tests/test_unsupervised.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/metrics/cluster/tests
copying build/lib.linux-armv7l-3.5/sklearn/metrics/cluster/expected_mutual_info_fast.cpython-35m-arm-linux-gnueabihf.so -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/metrics/cluster
copying build/lib.linux-armv7l-3.5/sklearn/metrics/pairwise_fast.cpython-35m-arm-linux-gnueabihf.so -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/metrics
creating /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/semi_supervised
copying build/lib.linux-armv7l-3.5/sklearn/semi_supervised/__init__.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/semi_supervised
copying build/lib.linux-armv7l-3.5/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/tree
copying build/lib.linux-armv7l-3.5/sklearn/tree/__init__.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tree
copying build/lib.linux-armv7l-3.5/sklearn/tree/export.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tree
copying build/lib.linux-armv7l-3.5/sklearn/tree/setup.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tree
copying build/lib.linux-armv7l-3.5/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-3.5/sklearn/tree/tests/__init__.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tree/tests
copying build/lib.linux-armv7l-3.5/sklearn/tree/tests/test_export.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tree/tests
copying build/lib.linux-armv7l-3.5/sklearn/tree/tests/test_tree.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tree/tests
copying build/lib.linux-armv7l-3.5/sklearn/tree/_tree.cpython-35m-arm-linux-gnueabihf.so -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tree
copying build/lib.linux-armv7l-3.5/sklearn/tree/_splitter.cpython-35m-arm-linux-gnueabihf.so -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tree
copying build/lib.linux-armv7l-3.5/sklearn/tree/_criterion.cpython-35m-arm-linux-gnueabihf.so -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tree
copying build/lib.linux-armv7l-3.5/sklearn/tree/_utils.cpython-35m-arm-linux-gnueabihf.so -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tree
creating /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model
copying build/lib.linux-armv7l-3.5/sklearn/linear_model/__init__.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model
copying build/lib.linux-armv7l-3.5/sklearn/linear_model/base.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model
copying build/lib.linux-armv7l-3.5/sklearn/linear_model/bayes.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model
copying build/lib.linux-armv7l-3.5/sklearn/linear_model/coordinate_descent.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model
copying build/lib.linux-armv7l-3.5/sklearn/linear_model/least_angle.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model
copying build/lib.linux-armv7l-3.5/sklearn/linear_model/logistic.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model
copying build/lib.linux-armv7l-3.5/sklearn/linear_model/omp.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model
copying build/lib.linux-armv7l-3.5/sklearn/linear_model/passive_aggressive.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model
copying build/lib.linux-armv7l-3.5/sklearn/linear_model/perceptron.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model
copying build/lib.linux-armv7l-3.5/sklearn/linear_model/randomized_l1.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model
copying build/lib.linux-armv7l-3.5/sklearn/linear_model/ransac.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model
copying build/lib.linux-armv7l-3.5/sklearn/linear_model/ridge.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model
copying build/lib.linux-armv7l-3.5/sklearn/linear_model/sag.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model
copying build/lib.linux-armv7l-3.5/sklearn/linear_model/setup.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model
copying build/lib.linux-armv7l-3.5/sklearn/linear_model/stochastic_gradient.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model
copying build/lib.linux-armv7l-3.5/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-3.5/sklearn/linear_model/tests/__init__.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/tests
copying build/lib.linux-armv7l-3.5/sklearn/linear_model/tests/test_base.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/tests
copying build/lib.linux-armv7l-3.5/sklearn/linear_model/tests/test_bayes.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/tests
copying build/lib.linux-armv7l-3.5/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-3.5/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-3.5/sklearn/linear_model/tests/test_logistic.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/tests
copying build/lib.linux-armv7l-3.5/sklearn/linear_model/tests/test_omp.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/tests
copying build/lib.linux-armv7l-3.5/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-3.5/sklearn/linear_model/tests/test_perceptron.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/tests
copying build/lib.linux-armv7l-3.5/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-3.5/sklearn/linear_model/tests/test_ransac.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/tests
copying build/lib.linux-armv7l-3.5/sklearn/linear_model/tests/test_ridge.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/tests
copying build/lib.linux-armv7l-3.5/sklearn/linear_model/tests/test_sag.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/tests
copying build/lib.linux-armv7l-3.5/sklearn/linear_model/tests/test_sgd.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/tests
copying build/lib.linux-armv7l-3.5/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-3.5/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-3.5/sklearn/linear_model/cd_fast.cpython-35m-arm-linux-gnueabihf.so -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model
copying build/lib.linux-armv7l-3.5/sklearn/linear_model/sgd_fast.cpython-35m-arm-linux-gnueabihf.so -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model
copying build/lib.linux-armv7l-3.5/sklearn/linear_model/sag_fast.cpython-35m-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/tests
copying build/lib.linux-armv7l-3.5/sklearn/tests/__init__.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests
copying build/lib.linux-armv7l-3.5/sklearn/tests/test_base.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests
copying build/lib.linux-armv7l-3.5/sklearn/tests/test_calibration.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests
copying build/lib.linux-armv7l-3.5/sklearn/tests/test_check_build.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests
copying build/lib.linux-armv7l-3.5/sklearn/tests/test_common.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests
copying build/lib.linux-armv7l-3.5/sklearn/tests/test_cross_validation.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests
copying build/lib.linux-armv7l-3.5/sklearn/tests/test_discriminant_analysis.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests
copying build/lib.linux-armv7l-3.5/sklearn/tests/test_dummy.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests
copying build/lib.linux-armv7l-3.5/sklearn/tests/test_grid_search.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests
copying build/lib.linux-armv7l-3.5/sklearn/tests/test_init.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests
copying build/lib.linux-armv7l-3.5/sklearn/tests/test_kernel_approximation.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests
copying build/lib.linux-armv7l-3.5/sklearn/tests/test_kernel_ridge.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests
copying build/lib.linux-armv7l-3.5/sklearn/tests/test_learning_curve.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests
copying build/lib.linux-armv7l-3.5/sklearn/tests/test_metaestimators.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests
copying build/lib.linux-armv7l-3.5/sklearn/tests/test_multiclass.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests
copying build/lib.linux-armv7l-3.5/sklearn/tests/test_naive_bayes.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests
copying build/lib.linux-armv7l-3.5/sklearn/tests/test_pipeline.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests
copying build/lib.linux-armv7l-3.5/sklearn/tests/test_random_projection.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests
copying build/lib.linux-armv7l-3.5/sklearn/tests/test_isotonic.py -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests
copying build/lib.linux-armv7l-3.5/sklearn/_isotonic.cpython-35m-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-35.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/_build_utils.py to _build_utils.cpython-35.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/base.py to base.cpython-35.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/calibration.py to calibration.cpython-35.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cross_validation.py to cross_validation.cpython-35.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/discriminant_analysis.py to discriminant_analysis.cpython-35.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/dummy.py to dummy.cpython-35.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/grid_search.py to grid_search.cpython-35.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/isotonic.py to isotonic.cpython-35.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/kernel_approximation.py to kernel_approximation.cpython-35.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/kernel_ridge.py to kernel_ridge.cpython-35.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/lda.py to lda.cpython-35.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/learning_curve.py to learning_curve.cpython-35.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/multiclass.py to multiclass.cpython-35.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/naive_bayes.py to naive_bayes.cpython-35.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/pipeline.py to pipeline.cpython-35.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/qda.py to qda.cpython-35.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/random_projection.py to random_projection.cpython-35.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/setup.py to setup.cpython-35.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/__check_build/__init__.py to __init__.cpython-35.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/__check_build/setup.py to setup.cpython-35.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/svm/__init__.py to __init__.cpython-35.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/svm/base.py to base.cpython-35.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/svm/bounds.py to bounds.cpython-35.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/svm/classes.py to classes.cpython-35.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/svm/setup.py to setup.cpython-35.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/svm/tests/__init__.py to __init__.cpython-35.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/svm/tests/test_bounds.py to test_bounds.cpython-35.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/svm/tests/test_sparse.py to test_sparse.cpython-35.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/svm/tests/test_svm.py to test_svm.cpython-35.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/datasets/__init__.py to __init__.cpython-35.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/datasets/base.py to base.cpython-35.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/datasets/california_housing.py to california_housing.cpython-35.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/datasets/covtype.py to covtype.cpython-35.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/datasets/mlcomp.py to mlcomp.cpython-35.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/datasets/mldata.py to mldata.cpython-35.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/datasets/olivetti_faces.py to olivetti_faces.cpython-35.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/datasets/rcv1.py to rcv1.cpython-35.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/datasets/samples_generator.py to samples_generator.cpython-35.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/datasets/setup.py to setup.cpython-35.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/datasets/species_distributions.py to species_distributions.cpython-35.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/datasets/svmlight_format.py to svmlight_format.cpython-35.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/datasets/twenty_newsgroups.py to twenty_newsgroups.cpython-35.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/datasets/lfw.py to lfw.cpython-35.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/datasets/tests/__init__.py to __init__.cpython-35.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/datasets/tests/test_20news.py to test_20news.cpython-35.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/datasets/tests/test_base.py to test_base.cpython-35.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/datasets/tests/test_covtype.py to test_covtype.cpython-35.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/datasets/tests/test_lfw.py to test_lfw.cpython-35.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/datasets/tests/test_mldata.py to test_mldata.cpython-35.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/datasets/tests/test_rcv1.py to test_rcv1.cpython-35.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/datasets/tests/test_samples_generator.py to test_samples_generator.cpython-35.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/datasets/tests/test_svmlight_format.py to test_svmlight_format.cpython-35.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/feature_extraction/__init__.py to __init__.cpython-35.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/feature_extraction/dict_vectorizer.py to dict_vectorizer.cpython-35.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/feature_extraction/hashing.py to hashing.cpython-35.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/feature_extraction/image.py to image.cpython-35.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/feature_extraction/setup.py to setup.cpython-35.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/feature_extraction/stop_words.py to stop_words.cpython-35.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/feature_extraction/text.py to text.cpython-35.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/feature_extraction/tests/__init__.py to __init__.cpython-35.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/feature_extraction/tests/test_dict_vectorizer.py to test_dict_vectorizer.cpython-35.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/feature_extraction/tests/test_feature_hasher.py to test_feature_hasher.cpython-35.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/feature_extraction/tests/test_image.py to test_image.cpython-35.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/feature_extraction/tests/test_text.py to test_text.cpython-35.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/__init__.py to __init__.cpython-35.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/_feature_agglomeration.py to _feature_agglomeration.cpython-35.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/affinity_propagation_.py to affinity_propagation_.cpython-35.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/bicluster.py to bicluster.cpython-35.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/birch.py to birch.cpython-35.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/dbscan_.py to dbscan_.cpython-35.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/hierarchical.py to hierarchical.cpython-35.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/k_means_.py to k_means_.cpython-35.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/mean_shift_.py to mean_shift_.cpython-35.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/setup.py to setup.cpython-35.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/spectral.py to spectral.cpython-35.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/tests/__init__.py to __init__.cpython-35.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/tests/common.py to common.cpython-35.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/tests/test_affinity_propagation.py to test_affinity_propagation.cpython-35.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/tests/test_bicluster.py to test_bicluster.cpython-35.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/tests/test_birch.py to test_birch.cpython-35.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/tests/test_dbscan.py to test_dbscan.cpython-35.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/tests/test_hierarchical.py to test_hierarchical.cpython-35.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/tests/test_k_means.py to test_k_means.cpython-35.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/tests/test_mean_shift.py to test_mean_shift.cpython-35.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/tests/test_spectral.py to test_spectral.cpython-35.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/covariance/__init__.py to __init__.cpython-35.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/covariance/empirical_covariance_.py to empirical_covariance_.cpython-35.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/covariance/graph_lasso_.py to graph_lasso_.cpython-35.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/covariance/outlier_detection.py to outlier_detection.cpython-35.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/covariance/robust_covariance.py to robust_covariance.cpython-35.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/covariance/shrunk_covariance_.py to shrunk_covariance_.cpython-35.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/covariance/tests/__init__.py to __init__.cpython-35.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/covariance/tests/test_covariance.py to test_covariance.cpython-35.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/covariance/tests/test_graph_lasso.py to test_graph_lasso.cpython-35.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/covariance/tests/test_robust_covariance.py to test_robust_covariance.cpython-35.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cross_decomposition/__init__.py to __init__.cpython-35.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cross_decomposition/cca_.py to cca_.cpython-35.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cross_decomposition/pls_.py to pls_.cpython-35.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/decomposition/__init__.py to __init__.cpython-35.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/decomposition/base.py to base.cpython-35.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/decomposition/dict_learning.py to dict_learning.cpython-35.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/decomposition/factor_analysis.py to factor_analysis.cpython-35.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/decomposition/fastica_.py to fastica_.cpython-35.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/decomposition/incremental_pca.py to incremental_pca.cpython-35.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/decomposition/kernel_pca.py to kernel_pca.cpython-35.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/decomposition/nmf.py to nmf.cpython-35.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/decomposition/online_lda.py to online_lda.cpython-35.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/decomposition/pca.py to pca.cpython-35.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/decomposition/setup.py to setup.cpython-35.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/decomposition/sparse_pca.py to sparse_pca.cpython-35.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/decomposition/truncated_svd.py to truncated_svd.cpython-35.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/decomposition/tests/__init__.py to __init__.cpython-35.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/decomposition/tests/test_dict_learning.py to test_dict_learning.cpython-35.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/decomposition/tests/test_factor_analysis.py to test_factor_analysis.cpython-35.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/decomposition/tests/test_fastica.py to test_fastica.cpython-35.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/decomposition/tests/test_incremental_pca.py to test_incremental_pca.cpython-35.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/decomposition/tests/test_kernel_pca.py to test_kernel_pca.cpython-35.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/decomposition/tests/test_nmf.py to test_nmf.cpython-35.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/decomposition/tests/test_online_lda.py to test_online_lda.cpython-35.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/decomposition/tests/test_pca.py to test_pca.cpython-35.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/decomposition/tests/test_sparse_pca.py to test_sparse_pca.cpython-35.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/decomposition/tests/test_truncated_svd.py to test_truncated_svd.cpython-35.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/ensemble/__init__.py to __init__.cpython-35.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/ensemble/bagging.py to bagging.cpython-35.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/ensemble/base.py to base.cpython-35.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/ensemble/forest.py to forest.cpython-35.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/ensemble/gradient_boosting.py to gradient_boosting.cpython-35.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/ensemble/partial_dependence.py to partial_dependence.cpython-35.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/ensemble/setup.py to setup.cpython-35.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/ensemble/voting_classifier.py to voting_classifier.cpython-35.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/ensemble/weight_boosting.py to weight_boosting.cpython-35.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/ensemble/tests/__init__.py to __init__.cpython-35.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/ensemble/tests/test_bagging.py to test_bagging.cpython-35.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/ensemble/tests/test_base.py to test_base.cpython-35.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/ensemble/tests/test_forest.py to test_forest.cpython-35.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/ensemble/tests/test_gradient_boosting.py to test_gradient_boosting.cpython-35.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-35.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/ensemble/tests/test_partial_dependence.py to test_partial_dependence.cpython-35.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/ensemble/tests/test_voting_classifier.py to test_voting_classifier.cpython-35.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/ensemble/tests/test_weight_boosting.py to test_weight_boosting.cpython-35.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/feature_selection/__init__.py to __init__.cpython-35.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/feature_selection/base.py to base.cpython-35.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/feature_selection/from_model.py to from_model.cpython-35.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/feature_selection/rfe.py to rfe.cpython-35.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/feature_selection/variance_threshold.py to variance_threshold.cpython-35.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/feature_selection/univariate_selection.py to univariate_selection.cpython-35.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/feature_selection/tests/__init__.py to __init__.cpython-35.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/feature_selection/tests/test_base.py to test_base.cpython-35.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/feature_selection/tests/test_chi2.py to test_chi2.cpython-35.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/feature_selection/tests/test_feature_select.py to test_feature_select.cpython-35.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/feature_selection/tests/test_rfe.py to test_rfe.cpython-35.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/feature_selection/tests/test_variance_threshold.py to test_variance_threshold.cpython-35.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/feature_selection/tests/test_from_model.py to test_from_model.cpython-35.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/__init__.py to __init__.cpython-35.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/_scipy_sparse_lsqr_backport.py to _scipy_sparse_lsqr_backport.cpython-35.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/arpack.py to arpack.cpython-35.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/bench.py to bench.cpython-35.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/class_weight.py to class_weight.cpython-35.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/estimator_checks.py to estimator_checks.cpython-35.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/extmath.py to extmath.cpython-35.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/fixes.py to fixes.cpython-35.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/graph.py to graph.cpython-35.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/linear_assignment_.py to linear_assignment_.cpython-35.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/metaestimators.py to metaestimators.cpython-35.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/mocking.py to mocking.cpython-35.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/multiclass.py to multiclass.cpython-35.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/optimize.py to optimize.cpython-35.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/random.py to random.cpython-35.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/setup.py to setup.cpython-35.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/sparsefuncs.py to sparsefuncs.cpython-35.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/stats.py to stats.cpython-35.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/testing.py to testing.cpython-35.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/validation.py to validation.cpython-35.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/sparsetools/__init__.py to __init__.cpython-35.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/sparsetools/_graph_validation.py to _graph_validation.cpython-35.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/sparsetools/setup.py to setup.cpython-35.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/tests/__init__.py to __init__.cpython-35.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/tests/test_bench.py to test_bench.cpython-35.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/tests/test_class_weight.py to test_class_weight.cpython-35.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/tests/test_estimator_checks.py to test_estimator_checks.cpython-35.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/tests/test_extmath.py to test_extmath.cpython-35.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/tests/test_fast_dict.py to test_fast_dict.cpython-35.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/tests/test_fixes.py to test_fixes.cpython-35.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/tests/test_graph.py to test_graph.cpython-35.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/tests/test_linear_assignment.py to test_linear_assignment.cpython-35.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/tests/test_metaestimators.py to test_metaestimators.cpython-35.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/tests/test_multiclass.py to test_multiclass.cpython-35.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/tests/test_murmurhash.py to test_murmurhash.cpython-35.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/tests/test_optimize.py to test_optimize.cpython-35.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/tests/test_random.py to test_random.cpython-35.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/tests/test_seq_dataset.py to test_seq_dataset.cpython-35.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/tests/test_shortest_path.py to test_shortest_path.cpython-35.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/tests/test_sparsefuncs.py to test_sparsefuncs.cpython-35.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/tests/test_stats.py to test_stats.cpython-35.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/tests/test_testing.py to test_testing.cpython-35.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/tests/test_utils.py to test_utils.cpython-35.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/tests/test_validation.py to test_validation.cpython-35.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/externals/__init__.py to __init__.cpython-35.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/externals/funcsigs.py to funcsigs.cpython-35.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/externals/odict.py to odict.cpython-35.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/externals/setup.py to setup.cpython-35.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/externals/six.py to six.cpython-35.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/externals/test_externals_setup.py to test_externals_setup.cpython-35.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/externals/joblib/__init__.py to __init__.cpython-35.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/mixture/__init__.py to __init__.cpython-35.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/mixture/dpgmm.py to dpgmm.cpython-35.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/mixture/gmm.py to gmm.cpython-35.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/mixture/tests/__init__.py to __init__.cpython-35.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/mixture/tests/test_dpgmm.py to test_dpgmm.cpython-35.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/mixture/tests/test_gmm.py to test_gmm.cpython-35.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/gaussian_process/__init__.py to __init__.cpython-35.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/gaussian_process/correlation_models.py to correlation_models.cpython-35.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/gaussian_process/gaussian_process.py to gaussian_process.cpython-35.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/gaussian_process/regression_models.py to regression_models.cpython-35.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/gaussian_process/tests/__init__.py to __init__.cpython-35.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/gaussian_process/tests/test_gaussian_process.py to test_gaussian_process.cpython-35.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/neighbors/__init__.py to __init__.cpython-35.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/neighbors/approximate.py to approximate.cpython-35.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/neighbors/base.py to base.cpython-35.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/neighbors/classification.py to classification.cpython-35.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/neighbors/graph.py to graph.cpython-35.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/neighbors/kde.py to kde.cpython-35.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/neighbors/nearest_centroid.py to nearest_centroid.cpython-35.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/neighbors/regression.py to regression.cpython-35.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/neighbors/setup.py to setup.cpython-35.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/neighbors/unsupervised.py to unsupervised.cpython-35.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/neural_network/__init__.py to __init__.cpython-35.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/neural_network/rbm.py to rbm.cpython-35.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/preprocessing/__init__.py to __init__.cpython-35.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/preprocessing/_function_transformer.py to _function_transformer.cpython-35.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/preprocessing/_weights.py to _weights.cpython-35.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/preprocessing/data.py to data.cpython-35.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/preprocessing/imputation.py to imputation.cpython-35.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/preprocessing/label.py to label.cpython-35.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/manifold/__init__.py to __init__.cpython-35.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/manifold/isomap.py to isomap.cpython-35.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/manifold/locally_linear.py to locally_linear.cpython-35.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/manifold/mds.py to mds.cpython-35.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/manifold/setup.py to setup.cpython-35.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/manifold/spectral_embedding_.py to spectral_embedding_.cpython-35.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/manifold/t_sne.py to t_sne.cpython-35.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/metrics/__init__.py to __init__.cpython-35.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/metrics/base.py to base.cpython-35.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/metrics/classification.py to classification.cpython-35.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/metrics/metrics.py to metrics.cpython-35.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/metrics/ranking.py to ranking.cpython-35.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/metrics/regression.py to regression.cpython-35.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/metrics/scorer.py to scorer.cpython-35.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/metrics/setup.py to setup.cpython-35.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/metrics/pairwise.py to pairwise.cpython-35.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/metrics/tests/__init__.py to __init__.cpython-35.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/metrics/tests/test_classification.py to test_classification.cpython-35.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/metrics/tests/test_common.py to test_common.cpython-35.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/metrics/tests/test_pairwise.py to test_pairwise.cpython-35.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/metrics/tests/test_regression.py to test_regression.cpython-35.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/metrics/tests/test_score_objects.py to test_score_objects.cpython-35.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/metrics/tests/test_ranking.py to test_ranking.cpython-35.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/metrics/cluster/__init__.py to __init__.cpython-35.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/metrics/cluster/bicluster.py to bicluster.cpython-35.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/metrics/cluster/setup.py to setup.cpython-35.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/metrics/cluster/supervised.py to supervised.cpython-35.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/metrics/cluster/unsupervised.py to unsupervised.cpython-35.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/metrics/cluster/tests/__init__.py to __init__.cpython-35.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/metrics/cluster/tests/test_bicluster.py to test_bicluster.cpython-35.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/metrics/cluster/tests/test_supervised.py to test_supervised.cpython-35.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/metrics/cluster/tests/test_unsupervised.py to test_unsupervised.cpython-35.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/semi_supervised/__init__.py to __init__.cpython-35.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/semi_supervised/label_propagation.py to label_propagation.cpython-35.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tree/__init__.py to __init__.cpython-35.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tree/export.py to export.cpython-35.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tree/setup.py to setup.cpython-35.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tree/tree.py to tree.cpython-35.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tree/tests/__init__.py to __init__.cpython-35.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tree/tests/test_export.py to test_export.cpython-35.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tree/tests/test_tree.py to test_tree.cpython-35.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/__init__.py to __init__.cpython-35.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/base.py to base.cpython-35.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/bayes.py to bayes.cpython-35.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/coordinate_descent.py to coordinate_descent.cpython-35.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/least_angle.py to least_angle.cpython-35.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/logistic.py to logistic.cpython-35.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/omp.py to omp.cpython-35.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/passive_aggressive.py to passive_aggressive.cpython-35.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/perceptron.py to perceptron.cpython-35.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/randomized_l1.py to randomized_l1.cpython-35.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/ransac.py to ransac.cpython-35.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/ridge.py to ridge.cpython-35.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/sag.py to sag.cpython-35.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/setup.py to setup.cpython-35.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/stochastic_gradient.py to stochastic_gradient.cpython-35.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/theil_sen.py to theil_sen.cpython-35.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/tests/__init__.py to __init__.cpython-35.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/tests/test_base.py to test_base.cpython-35.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/tests/test_bayes.py to test_bayes.cpython-35.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/tests/test_coordinate_descent.py to test_coordinate_descent.cpython-35.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/tests/test_least_angle.py to test_least_angle.cpython-35.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/tests/test_logistic.py to test_logistic.cpython-35.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/tests/test_omp.py to test_omp.cpython-35.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/tests/test_passive_aggressive.py to test_passive_aggressive.cpython-35.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/tests/test_perceptron.py to test_perceptron.cpython-35.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/tests/test_randomized_l1.py to test_randomized_l1.cpython-35.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/tests/test_ransac.py to test_ransac.cpython-35.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/tests/test_ridge.py to test_ridge.cpython-35.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/tests/test_sag.py to test_sag.cpython-35.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/tests/test_sgd.py to test_sgd.cpython-35.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-35.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/tests/test_theil_sen.py to test_theil_sen.cpython-35.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/__init__.py to __init__.cpython-35.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_base.py to test_base.cpython-35.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_calibration.py to test_calibration.cpython-35.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_check_build.py to test_check_build.cpython-35.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_common.py to test_common.cpython-35.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_cross_validation.py to test_cross_validation.cpython-35.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_discriminant_analysis.py to test_discriminant_analysis.cpython-35.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_dummy.py to test_dummy.cpython-35.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_grid_search.py to test_grid_search.cpython-35.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_init.py to test_init.cpython-35.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_kernel_approximation.py to test_kernel_approximation.cpython-35.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_kernel_ridge.py to test_kernel_ridge.cpython-35.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_learning_curve.py to test_learning_curve.cpython-35.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_metaestimators.py to test_metaestimators.cpython-35.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_multiclass.py to test_multiclass.cpython-35.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_naive_bayes.py to test_naive_bayes.cpython-35.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_pipeline.py to test_pipeline.cpython-35.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_random_projection.py to test_random_projection.cpython-35.pyc
byte-compiling /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tests/test_isotonic.py to test_isotonic.cpython-35.pyc
running install_data
creating /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/datasets/images
copying sklearn/datasets/images/china.jpg -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/datasets/images/
copying sklearn/datasets/images/flower.jpg -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/datasets/images/
copying sklearn/datasets/images/README.txt -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/datasets/images/
creating /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/datasets/data
copying sklearn/datasets/data/iris.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/breast_cancer.csv -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/datasets/data/
copying sklearn/datasets/data/diabetes_target.csv.gz -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/datasets/data/
copying sklearn/datasets/data/digits.csv.gz -> /<<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/linnerud_exercise.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/
creating /<<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_invalid.txt -> /<<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_multilabel.txt -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/datasets/tests/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/digits.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/diabetes.rst -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/datasets/descr/
copying sklearn/datasets/descr/iris.rst -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/datasets/descr/
copying sklearn/datasets/descr/linnerud.rst -> /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/datasets/descr/
running install_egg_info
Writing /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/scikit_learn-0.17.1.egg-info
running install_clib
Partial import of sklearn during the build process.
/usr/lib/python3/dist-packages/numpy/distutils/system_info.py:1651: 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.
warnings.warn(AtlasNotFoundError.__doc__)
/usr/lib/python3/dist-packages/numpy/distutils/system_info.py:1660: 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__)
/usr/lib/python3/dist-packages/numpy/distutils/system_info.py:1663: 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.
warnings.warn(BlasSrcNotFoundError.__doc__)
sklearn/setup.py:67: 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=0; \
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/lda.py:4: DeprecationWarning: lda.LDA has been moved to discriminant_analysis.LinearDiscriminantAnalysis in 0.17 and will be removed in 0.19
"in 0.17 and will be removed in 0.19", DeprecationWarning)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/qda.py:4: DeprecationWarning: qda.QDA has been moved to discriminant_analysis.QuadraticDiscriminantAnalysis in 0.17 and will be removed in 0.19.
"in 0.17 and will be removed in 0.19.", 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_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_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 ... 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_k_means.test_kmeans_dtype ... 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_input_dtypes ... 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_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_k_means_plus_plus_init_2_jobs ... SKIP: Possible multi-process bug with some BLAS under Python < 3.4
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_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_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_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_outlier_detection ... 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: Test too slow.
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:122: 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:143: 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:159: 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_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_covtype.test_fetch ... SKIP: Covertype 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_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.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 ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/linear_model/coordinate_descent.py:466: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations
ConvergenceWarning)
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_whitening ... ok
sklearn.decomposition.tests.test_kernel_pca.test_kernel_pca ... ok
sklearn.decomposition.tests.test_kernel_pca.test_invalid_parameters ... 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_initialize_close ... ok
sklearn.decomposition.tests.test_nmf.test_initialize_variants ... ok
sklearn.decomposition.tests.test_nmf.test_nls_nn_output ... ok
sklearn.decomposition.tests.test_nmf.test_nls_close ... ok
sklearn.decomposition.tests.test_nmf.test_safe_compute_error ... ok
sklearn.decomposition.tests.test_nmf.test_n_components_greater_n_features ... ok
sklearn.decomposition.tests.test_nmf.test_nmf_fit_close ... ok
sklearn.decomposition.tests.test_nmf.test_nmf_fit_nn_output ... ok
sklearn.decomposition.tests.test_nmf.test_nmf_transform ... ok
sklearn.decomposition.tests.test_nmf.test_non_negative_factorization_checking ... ok
sklearn.decomposition.tests.test_nmf.test_non_negative_factorization_consistency ... ok
sklearn.decomposition.tests.test_nmf.test_parameter_checking ... ok
sklearn.decomposition.tests.test_nmf.test_projgrad_nmf_sparseness ... ok
sklearn.decomposition.tests.test_nmf.test_sparse_input ... ok
sklearn.decomposition.tests.test_nmf.test_sparse_transform ... ok
sklearn.decomposition.tests.test_online_lda.test_lda_default_prior_params ... 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
Test LDA on empty document (all-zero rows). ... ok
Test Cython version of Dirichlet expectation calculation. ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/decomposition/tests/test_online_lda.py:332: 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:2342: RuntimeWarning: underflow encountered in multiply
result = less_equal(abs(x-y), atol + rtol * abs(y))
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_no_empty_slice_warning ... ok
sklearn.decomposition.tests.test_pca.test_whitening ... 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_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.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:681: 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_base.test_base ... ok
sklearn.ensemble.tests.test_base.test_base_zero_n_estimators ... 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('RandomForestRegressor', '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_asymptotic ... ok
sklearn.ensemble.tests.test_forest.test_1d_input ... 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 ... 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', array([[ 1.62434536e+00, -6.11756414e-01, -5.28171752e-01, ... ok
sklearn.ensemble.tests.test_forest.test_max_leaf_nodes_max_depth('RandomForestRegressor', array([[ 1.62434536e+00, -6.11756414e-01, -5.28171752e-01, ... ok
sklearn.ensemble.tests.test_forest.test_max_leaf_nodes_max_depth('RandomTreesEmbedding', array([[ 1.62434536e+00, -6.11756414e-01, -5.28171752e-01, ... ok
sklearn.ensemble.tests.test_forest.test_max_leaf_nodes_max_depth('ExtraTreesClassifier', array([[ 1.62434536e+00, -6.11756414e-01, -5.28171752e-01, ... ok
sklearn.ensemble.tests.test_forest.test_max_leaf_nodes_max_depth('RandomForestClassifier', array([[ 1.62434536e+00, -6.11756414e-01, -5.28171752e-01, ... ok
sklearn.ensemble.tests.test_forest.test_importances ... SKIP: Test skipped on 32bit platforms.
sklearn.ensemble.tests.test_forest.test_min_samples_leaf('ExtraTreesRegressor', array([[ 1.62434542e+00, -6.11756384e-01, -5.28171778e-01, ... ok
sklearn.ensemble.tests.test_forest.test_min_samples_leaf('RandomForestRegressor', array([[ 1.62434542e+00, -6.11756384e-01, -5.28171778e-01, ... ok
sklearn.ensemble.tests.test_forest.test_min_samples_leaf('RandomTreesEmbedding', array([[ 1.62434542e+00, -6.11756384e-01, -5.28171778e-01, ... ok
sklearn.ensemble.tests.test_forest.test_min_samples_leaf('ExtraTreesClassifier', array([[ 1.62434542e+00, -6.11756384e-01, -5.28171778e-01, ... ok
sklearn.ensemble.tests.test_forest.test_min_samples_leaf('RandomForestClassifier', array([[ 1.62434542e+00, -6.11756384e-01, -5.28171778e-01, ... ok
sklearn.ensemble.tests.test_forest.test_min_weight_fraction_leaf('ExtraTreesRegressor', array([[ 1.62434542e+00, -6.11756384e-01, -5.28171778e-01, ... ok
sklearn.ensemble.tests.test_forest.test_min_weight_fraction_leaf('RandomForestRegressor', array([[ 1.62434542e+00, -6.11756384e-01, -5.28171778e-01, ... ok
sklearn.ensemble.tests.test_forest.test_min_weight_fraction_leaf('RandomTreesEmbedding', array([[ 1.62434542e+00, -6.11756384e-01, -5.28171778e-01, ... ok
sklearn.ensemble.tests.test_forest.test_min_weight_fraction_leaf('ExtraTreesClassifier', array([[ 1.62434542e+00, -6.11756384e-01, -5.28171778e-01, ... ok
sklearn.ensemble.tests.test_forest.test_min_weight_fraction_leaf('RandomForestClassifier', array([[ 1.62434542e+00, -6.11756384e-01, -5.28171778e-01, ... 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_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_more_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_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_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_sample_weight_deviance ... 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 ... /usr/lib/python2.7/dist-packages/matplotlib/font_manager.py:273: UserWarning: Matplotlib is building the font cache using fc-list. This may take a moment.
warnings.warn('Matplotlib is building the font cache using fc-list. This may take a moment.')
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
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. ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/extmath.py:343: RuntimeWarning: underflow encountered in exp
out = np.log(np.sum(np.exp(arr - vmax), axis=0))
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/naive_bayes.py:103: 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. ... ok
sklearn.ensemble.tests.test_weight_boosting.test_samme_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_strings ... ok
sklearn.feature_extraction.tests.test_feature_hasher.test_feature_hasher_pairs ... 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_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_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_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_hashing_vectorizer ... 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_hashed_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_vectorizer_unicode ... 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_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_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_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_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_from_model.test_transform_linear_model ... ok
sklearn.feature_selection.tests.test_from_model.test_invalid_input ... ok
Test that SelectFromModel fits on a clone of the estimator. ... ok
sklearn.feature_selection.tests.test_from_model.test_partial_fit ... ok
sklearn.feature_selection.tests.test_from_model.test_warm_start ... ok
Test all possible combinations of the prefit parameter. ... ok
sklearn.feature_selection.tests.test_from_model.test_threshold_string ... ok
Test that the threshold can be set without refitting the model. ... ok
sklearn.feature_selection.tests.test_from_model.test_feature_importances ... SKIP: Test skipped on 32bit platforms.
sklearn.feature_selection.tests.test_rfe.test_rfe_set_params ... ok
sklearn.feature_selection.tests.test_rfe.test_rfe_features_importance ... ok
sklearn.feature_selection.tests.test_rfe.test_rfe_deprecation_estimator_params ... 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_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_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 ... 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 ... ok
sklearn.gaussian_process.tests.test_gaussian_process.test_ordinary_kriging ... ok
sklearn.gaussian_process.tests.test_gaussian_process.test_no_normalize ... 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:97: 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:1033: RuntimeWarning: underflow encountered in exp
np.exp(-1.0 * (singular_ind / effective_rank) ** 2))
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_center_data ... ok
sklearn.linear_model.tests.test_base.test_center_data_multioutput ... ok
sklearn.linear_model.tests.test_base.test_center_data_weighted ... ok
sklearn.linear_model.tests.test_base.test_sparse_center_data ... ok
sklearn.linear_model.tests.test_base.test_csr_sparse_center_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_toy_bayesian_ridge_object ... ok
sklearn.linear_model.tests.test_bayes.test_toy_ard_object ... 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_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:1687: UserWarning: Objective did not converge, you might want to increase the number of iterations
warnings.warn('Objective did not converge, you might want'
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_deprection_precompute_enet ... 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 ... 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_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_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_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_multitarget ... 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_lasso_lars_ic ... ok
sklearn.linear_model.tests.test_least_angle.test_no_warning_for_zero_mse ... 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_logistic.test_predict_2_classes ... ok
sklearn.linear_model.tests.test_logistic.test_error ... 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_liblinear_dual_random_state ... ok
sklearn.linear_model.tests.test_logistic.test_logistic_loss_and_grad ... ok
sklearn.linear_model.tests.test_logistic.test_max_iter ... ok
sklearn.linear_model.tests.test_logistic.test_warm_start ... 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_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_multinomial_logistic_regression_with_classweight_auto ... ok
sklearn.linear_model.tests.test_logistic.test_logistic_regression_convergence_warnings ... I: Seeding RNGs with 686433378
Converged after 58 iterations.
---
[LibLinear]iter 1 act 9.266e+00 pre 8.148e+00 delta 1.024e+00 f 1.386e+01 |g| 2.015e+01 CG 2
iter 2 act 1.450e+00 pre 1.220e+00 delta 1.024e+00 f 4.597e+00 |g| 5.064e+00 CG 3
ok
sklearn.linear_model.tests.test_logistic.test_logistic_regression_multinomial ... 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_logreg_intercept_scaling ... ok
sklearn.linear_model.tests.test_logistic.test_logreg_intercept_scaling_zero ... 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_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:391: 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:380: 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/python2.7/dist-packages/sklearn/linear_model/omp.py:391: 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_lasso_stability_path ... ok
sklearn.linear_model.tests.test_randomized_l1.test_randomized_lasso ... 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_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_default_residual_threshold ... ok
sklearn.linear_model.tests.test_ransac.test_ransac_dynamic_max_trials ... 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 ... 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_dense_sparse ... ok
sklearn.linear_model.tests.test_ridge.test_n_iter ... 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 ... 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
sklearn.linear_model.tests.test_sag.test_get_max_squared_sum ... ok
tests if ValueError is thrown with only one class ... ok
sklearn.linear_model.tests.test_sag.test_step_size_alpha_error ... 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_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_n_iter_param (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:826: 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_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_n_iter_param (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:826: 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_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_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_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.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_entropy ... ok
sklearn.metrics.cluster.tests.test_supervised.test_contingency_matrix ... 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_unsupervised.test_silhouette ... ok
sklearn.metrics.cluster.tests.test_unsupervised.test_no_nan ... ok
sklearn.metrics.cluster.tests.test_unsupervised.test_correct_labelsize ... 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_confusion_matrix_binary ... ok
sklearn.metrics.tests.test_classification.test_cohen_kappa ... 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_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_multiclass_pos_label_none ... ok
sklearn.metrics.tests.test_classification.test_zero_precision_recall ... ok
sklearn.metrics.tests.test_classification.test_confusion_matrix_multiclass ... ok
sklearn.metrics.tests.test_classification.test_confusion_matrix_multiclass_subset_labels ... 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_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_compat ... ok
sklearn.metrics.tests.test_classification.test__check_targets ... 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_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_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_single_sample('f1_score',) ... ok
sklearn.metrics.tests.test_common.test_single_sample('precision_score',) ... ok
sklearn.metrics.tests.test_common.test_single_sample('f2_score',) ... 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('f0.5_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('recall_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('precision_score',) ... ok
sklearn.metrics.tests.test_common.test_single_sample('recall_score',) ... ok
sklearn.metrics.tests.test_common.test_single_sample('f1_score',) ... ok
sklearn.metrics.tests.test_common.test_single_sample('f2_score',) ... ok
sklearn.metrics.tests.test_common.test_single_sample('f0.5_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('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_multiclasss_classification ... ok
sklearn.metrics.tests.test_common.test_normalize_option_multilabel_classification ... ok
sklearn.metrics.tests.test_common.test_averaging_multiclass('precision_score', array([0, 1, 0, 1, 1, 2, 0, 2, 0, 0, 0, 2, 1, 2, 2, 0, 1, 1, 1, 1, 0, 1, 0, ... ok
sklearn.metrics.tests.test_common.test_averaging_multiclass('recall_score', array([0, 1, 0, 1, 1, 2, 0, 2, 0, 0, 0, 2, 1, 2, 2, 0, 1, 1, 1, 1, 0, 1, 0, ... ok
sklearn.metrics.tests.test_common.test_averaging_multiclass('f1_score', array([0, 1, 0, 1, 1, 2, 0, 2, 0, 0, 0, 2, 1, 2, 2, 0, 1, 1, 1, 1, 0, 1, 0, ... ok
sklearn.metrics.tests.test_common.test_averaging_multiclass('f2_score', array([0, 1, 0, 1, 1, 2, 0, 2, 0, 0, 0, 2, 1, 2, 2, 0, 1, 1, 1, 1, 0, 1, 0, ... ok
sklearn.metrics.tests.test_common.test_averaging_multiclass('f0.5_score', array([0, 1, 0, 1, 1, 2, 0, 2, 0, 0, 0, 2, 1, 2, 2, 0, 1, 1, 1, 1, 0, 1, 0, ... ok
sklearn.metrics.tests.test_common.test_averaging_multilabel('precision_score', array([[0, 1, 0, 0, 1], ... ok
sklearn.metrics.tests.test_common.test_averaging_multilabel('recall_score', array([[0, 1, 0, 0, 1], ... ok
sklearn.metrics.tests.test_common.test_averaging_multilabel('f1_score', array([[0, 1, 0, 0, 1], ... ok
sklearn.metrics.tests.test_common.test_averaging_multilabel('f2_score', array([[0, 1, 0, 0, 1], ... ok
sklearn.metrics.tests.test_common.test_averaging_multilabel('f0.5_score', array([[0, 1, 0, 0, 1], ... ok
sklearn.metrics.tests.test_common.test_averaging_multilabel('roc_auc_score', array([[0, 1, 0, 0, 1], ... ok
sklearn.metrics.tests.test_common.test_averaging_multilabel('average_precision_score', array([[0, 1, 0, 0, 1], ... ok
sklearn.metrics.tests.test_common.test_averaging_multilabel_all_zeroes('precision_score', array([[ 0., 0., 0.], ... ok
sklearn.metrics.tests.test_common.test_averaging_multilabel_all_zeroes('recall_score', array([[ 0., 0., 0.], ... ok
sklearn.metrics.tests.test_common.test_averaging_multilabel_all_zeroes('f1_score', array([[ 0., 0., 0.], ... ok
sklearn.metrics.tests.test_common.test_averaging_multilabel_all_zeroes('f2_score', array([[ 0., 0., 0.], ... ok
sklearn.metrics.tests.test_common.test_averaging_multilabel_all_zeroes('f0.5_score', array([[ 0., 0., 0.], ... ok
sklearn.metrics.tests.test_common.test_averaging_multilabel_all_ones('precision_score', array([[ 1., 1., 1.], ... ok
sklearn.metrics.tests.test_common.test_averaging_multilabel_all_ones('recall_score', array([[ 1., 1., 1.], ... ok
sklearn.metrics.tests.test_common.test_averaging_multilabel_all_ones('f1_score', array([[ 1., 1., 1.], ... ok
sklearn.metrics.tests.test_common.test_averaging_multilabel_all_ones('f2_score', array([[ 1., 1., 1.], ... ok
sklearn.metrics.tests.test_common.test_averaging_multilabel_all_ones('f0.5_score', array([[ 1., 1., 1.], ... ok
sklearn.metrics.tests.test_common.test_sample_weight_invariance('f1_score', <function f1_score at 0xb44e1370>, array([0, 1, 1, 0, 1, 1, 1, 1, 1, 1, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, ... ok
sklearn.metrics.tests.test_common.test_sample_weight_invariance('precision_score', <function precision_score at 0xb44e1470>, array([0, 1, 1, 0, 1, 1, 1, 1, 1, 1, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, ... ok
sklearn.metrics.tests.test_common.test_sample_weight_invariance('f2_score', <functools.partial object at 0xb334dfc0>, array([0, 1, 1, 0, 1, 1, 1, 1, 1, 1, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, ... ok
sklearn.metrics.tests.test_common.test_sample_weight_invariance('macro_f2_score', <functools.partial object at 0xb335c2a0>, array([0, 1, 1, 0, 1, 1, 1, 1, 1, 1, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, ... ok
sklearn.metrics.tests.test_common.test_sample_weight_invariance('weighted_f0.5_score', <functools.partial object at 0xb335c060>, array([0, 1, 1, 0, 1, 1, 1, 1, 1, 1, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, ... ok
sklearn.metrics.tests.test_common.test_sample_weight_invariance('jaccard_similarity_score', <function jaccard_similarity_score at 0xb44e12b0>, array([0, 1, 1, 0, 1, 1, 1, 1, 1, 1, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, ... ok
sklearn.metrics.tests.test_common.test_sample_weight_invariance('macro_recall_score', <functools.partial object at 0xb335c300>, array([0, 1, 1, 0, 1, 1, 1, 1, 1, 1, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, ... ok
sklearn.metrics.tests.test_common.test_sample_weight_invariance('unnormalized_accuracy_score', <functools.partial object at 0xb334df30>, array([0, 1, 1, 0, 1, 1, 1, 1, 1, 1, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, ... ok
sklearn.metrics.tests.test_common.test_sample_weight_invariance('macro_f0.5_score', <functools.partial object at 0xb335c240>, array([0, 1, 1, 0, 1, 1, 1, 1, 1, 1, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, ... ok
sklearn.metrics.tests.test_common.test_sample_weight_invariance('explained_variance_score', <function explained_variance_score at 0xb44e9ef0>, array([0, 1, 1, 0, 1, 1, 1, 1, 1, 1, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, ... ok
sklearn.metrics.tests.test_common.test_sample_weight_invariance('mean_absolute_error', <function mean_absolute_error at 0xb44e9e30>, array([0, 1, 1, 0, 1, 1, 1, 1, 1, 1, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, ... ok
sklearn.metrics.tests.test_common.test_sample_weight_invariance('weighted_precision_score', <functools.partial object at 0xb335c0f0>, array([0, 1, 1, 0, 1, 1, 1, 1, 1, 1, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, ... ok
sklearn.metrics.tests.test_common.test_sample_weight_invariance('hinge_loss', <function hinge_loss at 0xb44e15b0>, array([0, 1, 1, 0, 1, 1, 1, 1, 1, 1, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, ... ok
sklearn.metrics.tests.test_common.test_sample_weight_invariance('micro_f0.5_score', <functools.partial object at 0xb335c150>, array([0, 1, 1, 0, 1, 1, 1, 1, 1, 1, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, ... ok
sklearn.metrics.tests.test_common.test_sample_weight_invariance('mean_squared_error', <function mean_squared_error at 0xb44e9e70>, array([0, 1, 1, 0, 1, 1, 1, 1, 1, 1, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, ... ok
sklearn.metrics.tests.test_common.test_sample_weight_invariance('unnormalized_zero_one_loss', <functools.partial object at 0xb334df90>, array([0, 1, 1, 0, 1, 1, 1, 1, 1, 1, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, ... ok
sklearn.metrics.tests.test_common.test_sample_weight_invariance('unnormalized_jaccard_similarity_score', <functools.partial object at 0xb334df60>, array([0, 1, 1, 0, 1, 1, 1, 1, 1, 1, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, ... ok
sklearn.metrics.tests.test_common.test_sample_weight_invariance('weighted_recall_score', <functools.partial object at 0xb335c120>, array([0, 1, 1, 0, 1, 1, 1, 1, 1, 1, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, ... ok
sklearn.metrics.tests.test_common.test_sample_weight_invariance('micro_f1_score', <functools.partial object at 0xb335c180>, array([0, 1, 1, 0, 1, 1, 1, 1, 1, 1, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, ... ok
sklearn.metrics.tests.test_common.test_sample_weight_invariance('weighted_f2_score', <functools.partial object at 0xb335c0c0>, array([0, 1, 1, 0, 1, 1, 1, 1, 1, 1, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, ... ok
sklearn.metrics.tests.test_common.test_sample_weight_invariance('f0.5_score', <functools.partial object at 0xb335c030>, array([0, 1, 1, 0, 1, 1, 1, 1, 1, 1, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, ... ok
sklearn.metrics.tests.test_common.test_sample_weight_invariance('log_loss', <function log_loss at 0xb44e1570>, array([0, 1, 1, 0, 1, 1, 1, 1, 1, 1, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, ... ok
sklearn.metrics.tests.test_common.test_sample_weight_invariance('micro_f2_score', <functools.partial object at 0xb335c1b0>, array([0, 1, 1, 0, 1, 1, 1, 1, 1, 1, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, ... ok
sklearn.metrics.tests.test_common.test_sample_weight_invariance('r2_score', <functools.partial object at 0xb334df00>, array([0, 1, 1, 0, 1, 1, 1, 1, 1, 1, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, ... ok
sklearn.metrics.tests.test_common.test_sample_weight_invariance('unnormalized_log_loss', <functools.partial object at 0xb335c420>, array([0, 1, 1, 0, 1, 1, 1, 1, 1, 1, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, ... ok
sklearn.metrics.tests.test_common.test_sample_weight_invariance('zero_one_loss', <function zero_one_loss at 0xb44e1330>, array([0, 1, 1, 0, 1, 1, 1, 1, 1, 1, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, ... ok
sklearn.metrics.tests.test_common.test_sample_weight_invariance('weighted_f1_score', <functools.partial object at 0xb335c090>, array([0, 1, 1, 0, 1, 1, 1, 1, 1, 1, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, ... ok
sklearn.metrics.tests.test_common.test_sample_weight_invariance('micro_precision_score', <functools.partial object at 0xb335c1e0>, array([0, 1, 1, 0, 1, 1, 1, 1, 1, 1, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, ... ok
sklearn.metrics.tests.test_common.test_sample_weight_invariance('accuracy_score', <function accuracy_score at 0xb44e11f0>, array([0, 1, 1, 0, 1, 1, 1, 1, 1, 1, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, ... ok
sklearn.metrics.tests.test_common.test_sample_weight_invariance('macro_precision_score', <functools.partial object at 0xb335c2d0>, array([0, 1, 1, 0, 1, 1, 1, 1, 1, 1, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, ... ok
sklearn.metrics.tests.test_common.test_sample_weight_invariance('recall_score', <function recall_score at 0xb44e14b0>, array([0, 1, 1, 0, 1, 1, 1, 1, 1, 1, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, ... ok
sklearn.metrics.tests.test_common.test_sample_weight_invariance('macro_f1_score', <functools.partial object at 0xb335c270>, array([0, 1, 1, 0, 1, 1, 1, 1, 1, 1, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, ... ok
sklearn.metrics.tests.test_common.test_sample_weight_invariance('micro_recall_score', <functools.partial object at 0xb335c210>, array([0, 1, 1, 0, 1, 1, 1, 1, 1, 1, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, ... ok
sklearn.metrics.tests.test_common.test_sample_weight_invariance('f1_score', <function f1_score at 0xb44e1370>, array([4, 0, 3, 3, 3, 1, 3, 2, 4, 0, 0, 4, 2, 1, 0, 1, 1, 0, 1, 4, 3, 0, 3, ... ok
sklearn.metrics.tests.test_common.test_sample_weight_invariance('precision_score', <function precision_score at 0xb44e1470>, array([4, 0, 3, 3, 3, 1, 3, 2, 4, 0, 0, 4, 2, 1, 0, 1, 1, 0, 1, 4, 3, 0, 3, ... ok
sklearn.metrics.tests.test_common.test_sample_weight_invariance('f2_score', <functools.partial object at 0xb334dfc0>, array([4, 0, 3, 3, 3, 1, 3, 2, 4, 0, 0, 4, 2, 1, 0, 1, 1, 0, 1, 4, 3, 0, 3, ... ok
sklearn.metrics.tests.test_common.test_sample_weight_invariance('macro_f2_score', <functools.partial object at 0xb335c2a0>, array([4, 0, 3, 3, 3, 1, 3, 2, 4, 0, 0, 4, 2, 1, 0, 1, 1, 0, 1, 4, 3, 0, 3, ... ok
sklearn.metrics.tests.test_common.test_sample_weight_invariance('weighted_f0.5_score', <functools.partial object at 0xb335c060>, array([4, 0, 3, 3, 3, 1, 3, 2, 4, 0, 0, 4, 2, 1, 0, 1, 1, 0, 1, 4, 3, 0, 3, ... ok
sklearn.metrics.tests.test_common.test_sample_weight_invariance('jaccard_similarity_score', <function jaccard_similarity_score at 0xb44e12b0>, array([4, 0, 3, 3, 3, 1, 3, 2, 4, 0, 0, 4, 2, 1, 0, 1, 1, 0, 1, 4, 3, 0, 3, ... ok
sklearn.metrics.tests.test_common.test_sample_weight_invariance('macro_recall_score', <functools.partial object at 0xb335c300>, array([4, 0, 3, 3, 3, 1, 3, 2, 4, 0, 0, 4, 2, 1, 0, 1, 1, 0, 1, 4, 3, 0, 3, ... ok
sklearn.metrics.tests.test_common.test_sample_weight_invariance('unnormalized_accuracy_score', <functools.partial object at 0xb334df30>, array([4, 0, 3, 3, 3, 1, 3, 2, 4, 0, 0, 4, 2, 1, 0, 1, 1, 0, 1, 4, 3, 0, 3, ... ok
sklearn.metrics.tests.test_common.test_sample_weight_invariance('macro_f0.5_score', <functools.partial object at 0xb335c240>, array([4, 0, 3, 3, 3, 1, 3, 2, 4, 0, 0, 4, 2, 1, 0, 1, 1, 0, 1, 4, 3, 0, 3, ... ok
sklearn.metrics.tests.test_common.test_sample_weight_invariance('explained_variance_score', <function explained_variance_score at 0xb44e9ef0>, array([4, 0, 3, 3, 3, 1, 3, 2, 4, 0, 0, 4, 2, 1, 0, 1, 1, 0, 1, 4, 3, 0, 3, ... ok
sklearn.metrics.tests.test_common.test_sample_weight_invariance('mean_absolute_error', <function mean_absolute_error at 0xb44e9e30>, array([4, 0, 3, 3, 3, 1, 3, 2, 4, 0, 0, 4, 2, 1, 0, 1, 1, 0, 1, 4, 3, 0, 3, ... ok
sklearn.metrics.tests.test_common.test_sample_weight_invariance('weighted_precision_score', <functools.partial object at 0xb335c0f0>, array([4, 0, 3, 3, 3, 1, 3, 2, 4, 0, 0, 4, 2, 1, 0, 1, 1, 0, 1, 4, 3, 0, 3, ... ok
sklearn.metrics.tests.test_common.test_sample_weight_invariance('hinge_loss', <function hinge_loss at 0xb44e15b0>, array([4, 0, 3, 3, 3, 1, 3, 2, 4, 0, 0, 4, 2, 1, 0, 1, 1, 0, 1, 4, 3, 0, 3, ... ok
sklearn.metrics.tests.test_common.test_sample_weight_invariance('micro_f0.5_score', <functools.partial object at 0xb335c150>, array([4, 0, 3, 3, 3, 1, 3, 2, 4, 0, 0, 4, 2, 1, 0, 1, 1, 0, 1, 4, 3, 0, 3, ... ok
sklearn.metrics.tests.test_common.test_sample_weight_invariance('mean_squared_error', <function mean_squared_error at 0xb44e9e70>, array([4, 0, 3, 3, 3, 1, 3, 2, 4, 0, 0, 4, 2, 1, 0, 1, 1, 0, 1, 4, 3, 0, 3, ... ok
sklearn.metrics.tests.test_common.test_sample_weight_invariance('unnormalized_zero_one_loss', <functools.partial object at 0xb334df90>, array([4, 0, 3, 3, 3, 1, 3, 2, 4, 0, 0, 4, 2, 1, 0, 1, 1, 0, 1, 4, 3, 0, 3, ... ok
sklearn.metrics.tests.test_common.test_sample_weight_invariance('unnormalized_jaccard_similarity_score', <functools.partial object at 0xb334df60>, array([4, 0, 3, 3, 3, 1, 3, 2, 4, 0, 0, 4, 2, 1, 0, 1, 1, 0, 1, 4, 3, 0, 3, ... ok
sklearn.metrics.tests.test_common.test_sample_weight_invariance('weighted_recall_score', <functools.partial object at 0xb335c120>, array([4, 0, 3, 3, 3, 1, 3, 2, 4, 0, 0, 4, 2, 1, 0, 1, 1, 0, 1, 4, 3, 0, 3, ... ok
sklearn.metrics.tests.test_common.test_sample_weight_invariance('micro_f1_score', <functools.partial object at 0xb335c180>, array([4, 0, 3, 3, 3, 1, 3, 2, 4, 0, 0, 4, 2, 1, 0, 1, 1, 0, 1, 4, 3, 0, 3, ... ok
sklearn.metrics.tests.test_common.test_sample_weight_invariance('weighted_f2_score', <functools.partial object at 0xb335c0c0>, array([4, 0, 3, 3, 3, 1, 3, 2, 4, 0, 0, 4, 2, 1, 0, 1, 1, 0, 1, 4, 3, 0, 3, ... ok
sklearn.metrics.tests.test_common.test_sample_weight_invariance('f0.5_score', <functools.partial object at 0xb335c030>, array([4, 0, 3, 3, 3, 1, 3, 2, 4, 0, 0, 4, 2, 1, 0, 1, 1, 0, 1, 4, 3, 0, 3, ... ok
sklearn.metrics.tests.test_common.test_sample_weight_invariance('log_loss', <function log_loss at 0xb44e1570>, array([4, 0, 3, 3, 3, 1, 3, 2, 4, 0, 0, 4, 2, 1, 0, 1, 1, 0, 1, 4, 3, 0, 3, ... ok
sklearn.metrics.tests.test_common.test_sample_weight_invariance('micro_f2_score', <functools.partial object at 0xb335c1b0>, array([4, 0, 3, 3, 3, 1, 3, 2, 4, 0, 0, 4, 2, 1, 0, 1, 1, 0, 1, 4, 3, 0, 3, ... ok
sklearn.metrics.tests.test_common.test_sample_weight_invariance('r2_score', <functools.partial object at 0xb334df00>, array([4, 0, 3, 3, 3, 1, 3, 2, 4, 0, 0, 4, 2, 1, 0, 1, 1, 0, 1, 4, 3, 0, 3, ... ok
sklearn.metrics.tests.test_common.test_sample_weight_invariance('unnormalized_log_loss', <functools.partial object at 0xb335c420>, array([4, 0, 3, 3, 3, 1, 3, 2, 4, 0, 0, 4, 2, 1, 0, 1, 1, 0, 1, 4, 3, 0, 3, ... ok
sklearn.metrics.tests.test_common.test_sample_weight_invariance('zero_one_loss', <function zero_one_loss at 0xb44e1330>, array([4, 0, 3, 3, 3, 1, 3, 2, 4, 0, 0, 4, 2, 1, 0, 1, 1, 0, 1, 4, 3, 0, 3, ... ok
sklearn.metrics.tests.test_common.test_sample_weight_invariance('weighted_f1_score', <functools.partial object at 0xb335c090>, array([4, 0, 3, 3, 3, 1, 3, 2, 4, 0, 0, 4, 2, 1, 0, 1, 1, 0, 1, 4, 3, 0, 3, ... ok
sklearn.metrics.tests.test_common.test_sample_weight_invariance('micro_precision_score', <functools.partial object at 0xb335c1e0>, array([4, 0, 3, 3, 3, 1, 3, 2, 4, 0, 0, 4, 2, 1, 0, 1, 1, 0, 1, 4, 3, 0, 3, ... ok
sklearn.metrics.tests.test_common.test_sample_weight_invariance('accuracy_score', <function accuracy_score at 0xb44e11f0>, array([4, 0, 3, 3, 3, 1, 3, 2, 4, 0, 0, 4, 2, 1, 0, 1, 1, 0, 1, 4, 3, 0, 3, ... ok
sklearn.metrics.tests.test_common.test_sample_weight_invariance('macro_precision_score', <functools.partial object at 0xb335c2d0>, array([4, 0, 3, 3, 3, 1, 3, 2, 4, 0, 0, 4, 2, 1, 0, 1, 1, 0, 1, 4, 3, 0, 3, ... ok
sklearn.metrics.tests.test_common.test_sample_weight_invariance('recall_score', <function recall_score at 0xb44e14b0>, array([4, 0, 3, 3, 3, 1, 3, 2, 4, 0, 0, 4, 2, 1, 0, 1, 1, 0, 1, 4, 3, 0, 3, ... ok
sklearn.metrics.tests.test_common.test_sample_weight_invariance('macro_f1_score', <functools.partial object at 0xb335c270>, array([4, 0, 3, 3, 3, 1, 3, 2, 4, 0, 0, 4, 2, 1, 0, 1, 1, 0, 1, 4, 3, 0, 3, ... ok
sklearn.metrics.tests.test_common.test_sample_weight_invariance('micro_recall_score', <functools.partial object at 0xb335c210>, array([4, 0, 3, 3, 3, 1, 3, 2, 4, 0, 0, 4, 2, 1, 0, 1, 1, 0, 1, 4, 3, 0, 3, ... ok
sklearn.metrics.tests.test_common.test_sample_weight_invariance('accuracy_score', <function accuracy_score at 0xb44e11f0>, array([[0, 1, 0, ..., 0, 0, 0], ... ok
sklearn.metrics.tests.test_common.test_sample_weight_invariance('unnormalized_accuracy_score', <functools.partial object at 0xb334df30>, array([[0, 1, 0, ..., 0, 0, 0], ... ok
sklearn.metrics.tests.test_common.test_sample_weight_invariance('jaccard_similarity_score', <function jaccard_similarity_score at 0xb44e12b0>, array([[0, 1, 0, ..., 0, 0, 0], ... ok
sklearn.metrics.tests.test_common.test_sample_weight_invariance('unnormalized_jaccard_similarity_score', <functools.partial object at 0xb334df60>, array([[0, 1, 0, ..., 0, 0, 0], ... ok
sklearn.metrics.tests.test_common.test_sample_weight_invariance('zero_one_loss', <function zero_one_loss at 0xb44e1330>, array([[0, 1, 0, ..., 0, 0, 0], ... ok
sklearn.metrics.tests.test_common.test_sample_weight_invariance('unnormalized_zero_one_loss', <functools.partial object at 0xb334df90>, array([[0, 1, 0, ..., 0, 0, 0], ... ok
sklearn.metrics.tests.test_common.test_sample_weight_invariance('precision_score', <function precision_score at 0xb44e1470>, array([[0, 1, 0, ..., 0, 0, 0], ... ok
sklearn.metrics.tests.test_common.test_sample_weight_invariance('recall_score', <function recall_score at 0xb44e14b0>, array([[0, 1, 0, ..., 0, 0, 0], ... ok
sklearn.metrics.tests.test_common.test_sample_weight_invariance('f1_score', <function f1_score at 0xb44e1370>, array([[0, 1, 0, ..., 0, 0, 0], ... ok
sklearn.metrics.tests.test_common.test_sample_weight_invariance('f2_score', <functools.partial object at 0xb334dfc0>, array([[0, 1, 0, ..., 0, 0, 0], ... ok
sklearn.metrics.tests.test_common.test_sample_weight_invariance('f0.5_score', <functools.partial object at 0xb335c030>, array([[0, 1, 0, ..., 0, 0, 0], ... ok
sklearn.metrics.tests.test_common.test_sample_weight_invariance('weighted_f0.5_score', <functools.partial object at 0xb335c060>, array([[0, 1, 0, ..., 0, 0, 0], ... ok
sklearn.metrics.tests.test_common.test_sample_weight_invariance('weighted_f1_score', <functools.partial object at 0xb335c090>, array([[0, 1, 0, ..., 0, 0, 0], ... ok
sklearn.metrics.tests.test_common.test_sample_weight_invariance('weighted_f2_score', <functools.partial object at 0xb335c0c0>, array([[0, 1, 0, ..., 0, 0, 0], ... ok
sklearn.metrics.tests.test_common.test_sample_weight_invariance('weighted_precision_score', <functools.partial object at 0xb335c0f0>, array([[0, 1, 0, ..., 0, 0, 0], ... ok
sklearn.metrics.tests.test_common.test_sample_weight_invariance('weighted_recall_score', <functools.partial object at 0xb335c120>, array([[0, 1, 0, ..., 0, 0, 0], ... ok
sklearn.metrics.tests.test_common.test_sample_weight_invariance('micro_f0.5_score', <functools.partial object at 0xb335c150>, array([[0, 1, 0, ..., 0, 0, 0], ... ok
sklearn.metrics.tests.test_common.test_sample_weight_invariance('micro_f1_score', <functools.partial object at 0xb335c180>, array([[0, 1, 0, ..., 0, 0, 0], ... ok
sklearn.metrics.tests.test_common.test_sample_weight_invariance('micro_f2_score', <functools.partial object at 0xb335c1b0>, array([[0, 1, 0, ..., 0, 0, 0], ... ok
sklearn.metrics.tests.test_common.test_sample_weight_invariance('micro_precision_score', <functools.partial object at 0xb335c1e0>, array([[0, 1, 0, ..., 0, 0, 0], ... ok
sklearn.metrics.tests.test_common.test_sample_weight_invariance('micro_recall_score', <functools.partial object at 0xb335c210>, array([[0, 1, 0, ..., 0, 0, 0], ... ok
sklearn.metrics.tests.test_common.test_sample_weight_invariance('macro_f0.5_score', <functools.partial object at 0xb335c240>, array([[0, 1, 0, ..., 0, 0, 0], ... ok
sklearn.metrics.tests.test_common.test_sample_weight_invariance('macro_f1_score', <functools.partial object at 0xb335c270>, array([[0, 1, 0, ..., 0, 0, 0], ... ok
sklearn.metrics.tests.test_common.test_sample_weight_invariance('macro_f2_score', <functools.partial object at 0xb335c2a0>, array([[0, 1, 0, ..., 0, 0, 0], ... ok
sklearn.metrics.tests.test_common.test_sample_weight_invariance('macro_precision_score', <functools.partial object at 0xb335c2d0>, array([[0, 1, 0, ..., 0, 0, 0], ... ok
sklearn.metrics.tests.test_common.test_sample_weight_invariance('macro_recall_score', <functools.partial object at 0xb335c300>, array([[0, 1, 0, ..., 0, 0, 0], ... ok
sklearn.metrics.tests.test_common.test_sample_weight_invariance('samples_f0.5_score', <functools.partial object at 0xb335c330>, array([[0, 1, 0, ..., 0, 0, 0], ... ok
sklearn.metrics.tests.test_common.test_sample_weight_invariance('samples_f1_score', <functools.partial object at 0xb335c360>, array([[0, 1, 0, ..., 0, 0, 0], ... ok
sklearn.metrics.tests.test_common.test_sample_weight_invariance('samples_f2_score', <functools.partial object at 0xb335c390>, array([[0, 1, 0, ..., 0, 0, 0], ... ok
sklearn.metrics.tests.test_common.test_sample_weight_invariance('samples_precision_score', <functools.partial object at 0xb335c3c0>, array([[0, 1, 0, ..., 0, 0, 0], ... ok
sklearn.metrics.tests.test_common.test_sample_weight_invariance('samples_recall_score', <functools.partial object at 0xb335c3f0>, array([[0, 1, 0, ..., 0, 0, 0], ... ok
sklearn.metrics.tests.test_common.test_sample_weight_invariance('log_loss', <function log_loss at 0xb44e1570>, array([[0, 1, 0, ..., 0, 0, 0], ... ok
sklearn.metrics.tests.test_common.test_sample_weight_invariance('unnormalized_log_loss', <functools.partial object at 0xb335c420>, array([[0, 1, 0, ..., 0, 0, 0], ... ok
sklearn.metrics.tests.test_common.test_sample_weight_invariance('roc_auc_score', <function roc_auc_score at 0xb464faf0>, array([[0, 1, 0, ..., 0, 0, 0], ... ok
sklearn.metrics.tests.test_common.test_sample_weight_invariance('weighted_roc_auc', <functools.partial object at 0xb335c450>, array([[0, 1, 0, ..., 0, 0, 0], ... ok
sklearn.metrics.tests.test_common.test_sample_weight_invariance('samples_roc_auc', <functools.partial object at 0xb335c480>, array([[0, 1, 0, ..., 0, 0, 0], ... ok
sklearn.metrics.tests.test_common.test_sample_weight_invariance('micro_roc_auc', <functools.partial object at 0xb335c4b0>, array([[0, 1, 0, ..., 0, 0, 0], ... ok
sklearn.metrics.tests.test_common.test_sample_weight_invariance('macro_roc_auc', <functools.partial object at 0xb335c4e0>, array([[0, 1, 0, ..., 0, 0, 0], ... ok
sklearn.metrics.tests.test_common.test_sample_weight_invariance('average_precision_score', <function average_precision_score at 0xb464fab0>, array([[0, 1, 0, ..., 0, 0, 0], ... ok
sklearn.metrics.tests.test_common.test_sample_weight_invariance('weighted_average_precision_score', <functools.partial object at 0xb335c510>, array([[0, 1, 0, ..., 0, 0, 0], ... ok
sklearn.metrics.tests.test_common.test_sample_weight_invariance('samples_average_precision_score', <functools.partial object at 0xb335c540>, array([[0, 1, 0, ..., 0, 0, 0], ... ok
sklearn.metrics.tests.test_common.test_sample_weight_invariance('micro_average_precision_score', <functools.partial object at 0xb335c570>, array([[0, 1, 0, ..., 0, 0, 0], ... ok
sklearn.metrics.tests.test_common.test_sample_weight_invariance('macro_average_precision_score', <functools.partial object at 0xb335c5a0>, array([[0, 1, 0, ..., 0, 0, 0], ... ok
sklearn.metrics.tests.test_common.test_sample_weight_invariance('coverage_error', <function coverage_error at 0xb464fc30>, array([[0, 1, 0, ..., 0, 0, 0], ... ok
sklearn.metrics.tests.test_common.test_sample_weight_invariance('label_ranking_loss', <function label_ranking_loss at 0xb464fc70>, array([[0, 1, 0, ..., 0, 0, 0], ... ok
sklearn.metrics.tests.test_common.test_sample_weight_invariance('mean_absolute_error', <function mean_absolute_error at 0xb44e9e30>, array([[0, 1, 0, ..., 0, 0, 0], ... ok
sklearn.metrics.tests.test_common.test_sample_weight_invariance('mean_squared_error', <function mean_squared_error at 0xb44e9e70>, array([[0, 1, 0, ..., 0, 0, 0], ... ok
sklearn.metrics.tests.test_common.test_sample_weight_invariance('r2_score', <functools.partial object at 0xb334df00>, array([[0, 1, 0, ..., 0, 0, 0], ... ok
sklearn.metrics.tests.test_common.test_sample_weight_invariance('explained_variance_score', <function explained_variance_score at 0xb44e9ef0>, array([[0, 1, 0, ..., 0, 0, 0], ... ok
sklearn.metrics.tests.test_common.test_no_averaging_labels ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/metrics/classification.py:1074: UndefinedMetricWarning: Precision is ill-defined and being set to 0.0 in labels with no predicted samples.
'precision', 'predicted', average, warn_for)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/metrics/classification.py:1076: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples.
'recall', 'true', average, warn_for)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/metrics/classification.py:1074: UndefinedMetricWarning: F-score is ill-defined and being set to 0.0 in labels with no predicted samples.
'precision', 'predicted', average, warn_for)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/metrics/classification.py:1076: UndefinedMetricWarning: F-score is ill-defined and being set to 0.0 in labels with no true samples.
'recall', 'true', average, warn_for)
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 0xb44e96f0>, 'euclidean', {}) ... ok
sklearn.metrics.tests.test_pairwise.test_pairwise_parallel(<function pairwise_distances at 0xb44e96f0>, <function wminkowski at 0xb44c2970>, {'p': 1, 'w': array([ 1., 2., 3., 4.])}) ... ok
sklearn.metrics.tests.test_pairwise.test_pairwise_parallel(<function pairwise_distances at 0xb44e96f0>, 'wminkowski', {'p': 1, 'w': array([ 1., 2., 3., 4.])}) ... ok
sklearn.metrics.tests.test_pairwise.test_pairwise_parallel(<function pairwise_kernels at 0xb44e9770>, 'polynomial', {'degree': 1}) ... ok
sklearn.metrics.tests.test_pairwise.test_pairwise_parallel(<function pairwise_kernels at 0xb44e9770>, <function callable_rbf_kernel at 0xb33680b0>, {'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_distances_argmin_min ... ok
sklearn.metrics.tests.test_pairwise.test_euclidean_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_nonrepeating_thresholds ... 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 ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/metrics/ranking.py:538: UndefinedMetricWarning: No positive samples in y_true, true positive value should be meaningless
UndefinedMetricWarning)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/metrics/ranking.py:530: UndefinedMetricWarning: No negative samples in y_true, false positive value should be meaningless
UndefinedMetricWarning)
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_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_score_scale_invariance ... ok
sklearn.metrics.tests.test_ranking.test_label_ranking_avp(<function label_ranking_average_precision_score at 0xb464fbf0>,) ... ok
sklearn.metrics.tests.test_ranking.test_label_ranking_avp(<function label_ranking_average_precision_score at 0xb464fbf0>,) ... ok
sklearn.metrics.tests.test_ranking.test_label_ranking_avp(<function label_ranking_average_precision_score at 0xb464fbf0>,) ... ok
sklearn.metrics.tests.test_ranking.test_label_ranking_avp(<function label_ranking_average_precision_score at 0xb464fbf0>,) ... ok
sklearn.metrics.tests.test_ranking.test_label_ranking_avp(<function label_ranking_average_precision_score at 0xb464fbf0>,) ... ok
sklearn.metrics.tests.test_ranking.test_label_ranking_avp(<function _my_lrap at 0xb32f2470>,) ... ok
sklearn.metrics.tests.test_ranking.test_label_ranking_avp(<function _my_lrap at 0xb32f2470>,) ... ok
sklearn.metrics.tests.test_ranking.test_label_ranking_avp(<function _my_lrap at 0xb32f2470>,) ... ok
sklearn.metrics.tests.test_ranking.test_label_ranking_avp(<function _my_lrap at 0xb32f2470>,) ... ok
sklearn.metrics.tests.test_ranking.test_label_ranking_avp(<function label_ranking_average_precision_score at 0xb464fbf0>,) ... ok
sklearn.metrics.tests.test_ranking.test_label_ranking_avp(<function label_ranking_average_precision_score at 0xb464fbf0>, 2, 1, 0) ... ok
sklearn.metrics.tests.test_ranking.test_label_ranking_avp(<function label_ranking_average_precision_score at 0xb464fbf0>, 5, 1, 0) ... ok
sklearn.metrics.tests.test_ranking.test_label_ranking_avp(<function label_ranking_average_precision_score at 0xb464fbf0>, 10, 1, 0) ... ok
sklearn.metrics.tests.test_ranking.test_label_ranking_avp(<function label_ranking_average_precision_score at 0xb464fbf0>, 2, 2, 0) ... ok
sklearn.metrics.tests.test_ranking.test_label_ranking_avp(<function label_ranking_average_precision_score at 0xb464fbf0>, 5, 2, 0) ... ok
sklearn.metrics.tests.test_ranking.test_label_ranking_avp(<function label_ranking_average_precision_score at 0xb464fbf0>, 10, 2, 0) ... ok
sklearn.metrics.tests.test_ranking.test_label_ranking_avp(<function label_ranking_average_precision_score at 0xb464fbf0>, 2, 8, 0) ... ok
sklearn.metrics.tests.test_ranking.test_label_ranking_avp(<function label_ranking_average_precision_score at 0xb464fbf0>, 5, 8, 0) ... ok
sklearn.metrics.tests.test_ranking.test_label_ranking_avp(<function label_ranking_average_precision_score at 0xb464fbf0>, 10, 8, 0) ... ok
sklearn.metrics.tests.test_ranking.test_label_ranking_avp(<function label_ranking_average_precision_score at 0xb464fbf0>, 2, 20, 0) ... ok
sklearn.metrics.tests.test_ranking.test_label_ranking_avp(<function label_ranking_average_precision_score at 0xb464fbf0>, 5, 20, 0) ... ok
sklearn.metrics.tests.test_ranking.test_label_ranking_avp(<function label_ranking_average_precision_score at 0xb464fbf0>, 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_regression_multioutput_array ... ok
sklearn.metrics.tests.test_regression.test_regression_custom_weights ... ok
sklearn.metrics.tests.test_score_objects.test_check_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_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_raises_on_score_list ... ok
sklearn.metrics.tests.test_score_objects.test_scorer_sample_weight ... ok
sklearn.metrics.tests.test_score_objects.test_unsupervised_scorers ... ok
sklearn.metrics.tests.test_score_objects.test_scorer_memmap_input('f1',) ... 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('recall_samples',) ... ok
sklearn.metrics.tests.test_score_objects.test_scorer_memmap_input('recall_micro',) ... 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('mean_absolute_error',) ... 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_weighted',) ... ok
sklearn.metrics.tests.test_score_objects.test_scorer_memmap_input('f1_macro',) ... ok
sklearn.metrics.tests.test_score_objects.test_scorer_memmap_input('recall_weighted',) ... ok
sklearn.metrics.tests.test_score_objects.test_scorer_memmap_input('accuracy',) ... ok
sklearn.metrics.tests.test_score_objects.test_scorer_memmap_input('precision_samples',) ... 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('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('average_precision',) ... ok
sklearn.metrics.tests.test_score_objects.test_scorer_memmap_input('roc_auc',) ... ok
sklearn.metrics.tests.test_score_objects.test_scorer_memmap_input('r2',) ... ok
sklearn.metrics.tests.test_score_objects.test_scorer_memmap_input('recall',) ... 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('f1_micro',) ... 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) ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/extmath.py:343: RuntimeWarning: underflow encountered in exp
out = np.log(np.sum(np.exp(arr - vmax), axis=0))
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/mixture/dpgmm.py:40: 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) ... 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) ... 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) ... 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) ... 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) ... 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) ... 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) ... 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_class_weights ... 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_log_normalize ... ok
test_eval (sklearn.mixture.tests.test_gmm.TestGMMWithDiagonalCovars) ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/mixture/gmm.py:333: 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) ... 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) ... ok
test_sample (sklearn.mixture.tests.test_gmm.TestGMMWithFullCovars) ... ok
test_train (sklearn.mixture.tests.test_gmm.TestGMMWithFullCovars) ... 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) ... ok
test_sample (sklearn.mixture.tests.test_gmm.TestGMMWithSphericalCovars) ... ok
test_train (sklearn.mixture.tests.test_gmm.TestGMMWithSphericalCovars) ... 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) ... ok
test_sample (sklearn.mixture.tests.test_gmm.TestGMMWithTiedCovars) ... ok
test_train (sklearn.mixture.tests.test_gmm.TestGMMWithTiedCovars) ... 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 ... ok
sklearn.mixture.tests.test_gmm.test_GMM_attributes ... 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_1d_1component ... ok
test that gmm.fit_predict is equivalent to gmm.fit + gmm.predict ... ok
sklearn.mixture.tests.test_gmm.test_aic ... 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.mixture.tests.test_gmm.test_verbose_first_level ... ok
sklearn.mixture.tests.test_gmm.test_verbose_second_level ... 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_l2_deprecation ... 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 ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/svm/base.py:224: ConvergenceWarning: Solver terminated early (max_iter=1). Consider pre-processing your data with StandardScaler or MinMaxScaler.
% self.max_iter, ConvergenceWarning)
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_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_probability ... ok
sklearn.svm.tests.test_svm.test_decision_function ... ok
sklearn.svm.tests.test_svm.test_consistent_proba ... ok
sklearn.svm.tests.test_svm.test_single_sample_1d ... 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:1074: 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_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_penalty ... 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_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 ... [LibLinear]
optimization finished, #iter = 2
WARNING: reaching max number of iterations
Using -s 2 may be faster (also see FAQ)
Objective value = -0.221693
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.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_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_probability ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tree/tree.py:715: 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_1d_input ... 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 ... 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_pickle ... ok
sklearn.tree.tests.test_tree.test_multioutput ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/tree/tree.py:719: 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_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:715: 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('ExtraTreeRegressor', 'boston', 2) ... ok
sklearn.tree.tests.test_tree.test_sparse_input('ExtraTreeRegressor', 'reg_small', 2) ... 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_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.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_auto_negative ... ok
sklearn.utils.tests.test_class_weight.test_compute_class_weight_auto_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_estimator_checks.test_check_estimator ... ok
sklearn.utils.tests.test_estimator_checks.test_check_estimators_unfitted ... 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_logsumexp ... ok
sklearn.utils.tests.test_extmath.test_randomized_svd_low_rank ... ok
sklearn.utils.tests.test_extmath.test_norm_squared_norm ... 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_randomized_svd_transpose_consistency ... 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_fast_dot ... 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_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_expit ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/tests/test_fixes.py:23: RuntimeWarning: underflow encountered in exp
assert_almost_equal(expit(1000.), 1. / (1. + np.exp(-1000.)), decimal=16)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/tests/test_fixes.py:24: RuntimeWarning: underflow encountered in exp
assert_almost_equal(expit(-1000.), np.exp(-1000.) / (1. + np.exp(-1000.)),
ok
sklearn.utils.tests.test_fixes.test_divide ... ok
sklearn.utils.tests.test_fixes.test_astype_copy_memory ... 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_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 ... ok
sklearn.utils.tests.test_multiclass.test_class_distribution ... 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:280: 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_stats.test_cases([100], 'max', [1.0]) ... ok
sklearn.utils.tests.test_stats.test_cases([100, 100, 100], 'max', [3.0, 3.0, 3.0]) ... ok
sklearn.utils.tests.test_stats.test_cases([100, 300, 200], 'max', [1.0, 3.0, 2.0]) ... ok
sklearn.utils.tests.test_stats.test_cases([100, 200, 300, 200], 'max', [1.0, 3.0, 4.0, 3.0]) ... ok
sklearn.utils.tests.test_stats.test_cases([100, 200, 300, 200, 100], 'max', [2.0, 4.0, 5.0, 4.0, 2.0]) ... 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_raise_message ... ok
sklearn.utils.tests.test_utils.test_make_rng ... ok
sklearn.utils.tests.test_utils.test_resample_noarg ... ok
sklearn.utils.tests.test_utils.test_deprecated ... ok
sklearn.utils.tests.test_utils.test_resample_value_errors ... ok
sklearn.utils.tests.test_utils.test_safe_mask ... ok
sklearn.utils.tests.test_utils.test_pinvh_simple_real ... 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_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_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_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_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.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_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_score_sample_weight ... ok
sklearn.tests.test_calibration.test_sample_weight_warning ... 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
Test calibration objects with isotonic and sigmoid ... ok
sklearn.tests.test_check_build.test_raise_build_error ... ok
sklearn.tests.test_common.test_all_estimator_no_base_class ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/metrics/metrics.py:4: DeprecationWarning: sklearn.metrics.metrics is deprecated and will be removed in 0.18. Please import from sklearn.metrics
DeprecationWarning)
ok
sklearn.tests.test_common.test_all_estimators('ARDRegression', <class 'sklearn.linear_model.bayes.ARDRegression'>) ... ok
sklearn.tests.test_common.test_all_estimators('AdaBoostClassifier', <class 'sklearn.ensemble.weight_boosting.AdaBoostClassifier'>) ... ok
sklearn.tests.test_common.test_all_estimators('AdaBoostRegressor', <class 'sklearn.ensemble.weight_boosting.AdaBoostRegressor'>) ... ok
sklearn.tests.test_common.test_all_estimators('AdditiveChi2Sampler', <class 'sklearn.kernel_approximation.AdditiveChi2Sampler'>) ... ok
sklearn.tests.test_common.test_all_estimators('AffinityPropagation', <class 'sklearn.cluster.affinity_propagation_.AffinityPropagation'>) ... ok
sklearn.tests.test_common.test_all_estimators('AgglomerativeClustering', <class 'sklearn.cluster.hierarchical.AgglomerativeClustering'>) ... ok
sklearn.tests.test_common.test_all_estimators('BaggingClassifier', <class 'sklearn.ensemble.bagging.BaggingClassifier'>) ... ok
sklearn.tests.test_common.test_all_estimators('BaggingRegressor', <class 'sklearn.ensemble.bagging.BaggingRegressor'>) ... ok
sklearn.tests.test_common.test_all_estimators('BaseEnsemble', <class 'sklearn.ensemble.base.BaseEnsemble'>) ... ok
sklearn.tests.test_common.test_all_estimators('BayesianRidge', <class 'sklearn.linear_model.bayes.BayesianRidge'>) ... ok
sklearn.tests.test_common.test_all_estimators('BernoulliNB', <class 'sklearn.naive_bayes.BernoulliNB'>) ... ok
sklearn.tests.test_common.test_all_estimators('BernoulliRBM', <class 'sklearn.neural_network.rbm.BernoulliRBM'>) ... ok
sklearn.tests.test_common.test_all_estimators('Binarizer', <class 'sklearn.preprocessing.data.Binarizer'>) ... ok
sklearn.tests.test_common.test_all_estimators('Birch', <class 'sklearn.cluster.birch.Birch'>) ... ok
sklearn.tests.test_common.test_all_estimators('CCA', <class 'sklearn.cross_decomposition.cca_.CCA'>) ... ok
sklearn.tests.test_common.test_all_estimators('CalibratedClassifierCV', <class 'sklearn.calibration.CalibratedClassifierCV'>) ... ok
sklearn.tests.test_common.test_all_estimators('DBSCAN', <class 'sklearn.cluster.dbscan_.DBSCAN'>) ... ok
sklearn.tests.test_common.test_all_estimators('DPGMM', <class 'sklearn.mixture.dpgmm.DPGMM'>) ... ok
sklearn.tests.test_common.test_all_estimators('DecisionTreeClassifier', <class 'sklearn.tree.tree.DecisionTreeClassifier'>) ... ok
sklearn.tests.test_common.test_all_estimators('DecisionTreeRegressor', <class 'sklearn.tree.tree.DecisionTreeRegressor'>) ... ok
sklearn.tests.test_common.test_all_estimators('DictionaryLearning', <class 'sklearn.decomposition.dict_learning.DictionaryLearning'>) ... ok
sklearn.tests.test_common.test_all_estimators('ElasticNet', <class 'sklearn.linear_model.coordinate_descent.ElasticNet'>) ... ok
sklearn.tests.test_common.test_all_estimators('ElasticNetCV', <class 'sklearn.linear_model.coordinate_descent.ElasticNetCV'>) ... ok
sklearn.tests.test_common.test_all_estimators('EmpiricalCovariance', <class 'sklearn.covariance.empirical_covariance_.EmpiricalCovariance'>) ... ok
sklearn.tests.test_common.test_all_estimators('ExtraTreeClassifier', <class 'sklearn.tree.tree.ExtraTreeClassifier'>) ... ok
sklearn.tests.test_common.test_all_estimators('ExtraTreeRegressor', <class 'sklearn.tree.tree.ExtraTreeRegressor'>) ... ok
sklearn.tests.test_common.test_all_estimators('ExtraTreesClassifier', <class 'sklearn.ensemble.forest.ExtraTreesClassifier'>) ... ok
sklearn.tests.test_common.test_all_estimators('ExtraTreesRegressor', <class 'sklearn.ensemble.forest.ExtraTreesRegressor'>) ... ok
sklearn.tests.test_common.test_all_estimators('FactorAnalysis', <class 'sklearn.decomposition.factor_analysis.FactorAnalysis'>) ... ok
sklearn.tests.test_common.test_all_estimators('FastICA', <class 'sklearn.decomposition.fastica_.FastICA'>) ... ok
sklearn.tests.test_common.test_all_estimators('FeatureAgglomeration', <class 'sklearn.cluster.hierarchical.FeatureAgglomeration'>) ... ok
sklearn.tests.test_common.test_all_estimators('FunctionTransformer', <class 'sklearn.preprocessing._function_transformer.FunctionTransformer'>) ... ok
sklearn.tests.test_common.test_all_estimators('GMM', <class 'sklearn.mixture.gmm.GMM'>) ... ok
sklearn.tests.test_common.test_all_estimators('GaussianNB', <class 'sklearn.naive_bayes.GaussianNB'>) ... ok
sklearn.tests.test_common.test_all_estimators('GaussianProcess', <class 'sklearn.gaussian_process.gaussian_process.GaussianProcess'>) ... ok
sklearn.tests.test_common.test_all_estimators('GaussianRandomProjection', <class 'sklearn.random_projection.GaussianRandomProjection'>) ... ok
sklearn.tests.test_common.test_all_estimators('GenericUnivariateSelect', <class 'sklearn.feature_selection.univariate_selection.GenericUnivariateSelect'>) ... ok
sklearn.tests.test_common.test_all_estimators('GradientBoostingClassifier', <class 'sklearn.ensemble.gradient_boosting.GradientBoostingClassifier'>) ... ok
sklearn.tests.test_common.test_all_estimators('GradientBoostingRegressor', <class 'sklearn.ensemble.gradient_boosting.GradientBoostingRegressor'>) ... ok
sklearn.tests.test_common.test_all_estimators('GraphLasso', <class 'sklearn.covariance.graph_lasso_.GraphLasso'>) ... ok
sklearn.tests.test_common.test_all_estimators('GraphLassoCV', <class 'sklearn.covariance.graph_lasso_.GraphLassoCV'>) ... ok
sklearn.tests.test_common.test_all_estimators('Imputer', <class 'sklearn.preprocessing.imputation.Imputer'>) ... ok
sklearn.tests.test_common.test_all_estimators('IncrementalPCA', <class 'sklearn.decomposition.incremental_pca.IncrementalPCA'>) ... ok
sklearn.tests.test_common.test_all_estimators('Isomap', <class 'sklearn.manifold.isomap.Isomap'>) ... ok
sklearn.tests.test_common.test_all_estimators('KMeans', <class 'sklearn.cluster.k_means_.KMeans'>) ... ok
sklearn.tests.test_common.test_all_estimators('KNeighborsClassifier', <class 'sklearn.neighbors.classification.KNeighborsClassifier'>) ... ok
sklearn.tests.test_common.test_all_estimators('KNeighborsRegressor', <class 'sklearn.neighbors.regression.KNeighborsRegressor'>) ... ok
sklearn.tests.test_common.test_all_estimators('KernelCenterer', <class 'sklearn.preprocessing.data.KernelCenterer'>) ... ok
sklearn.tests.test_common.test_all_estimators('KernelDensity', <class 'sklearn.neighbors.kde.KernelDensity'>) ... ok
sklearn.tests.test_common.test_all_estimators('KernelPCA', <class 'sklearn.decomposition.kernel_pca.KernelPCA'>) ... ok
sklearn.tests.test_common.test_all_estimators('KernelRidge', <class 'sklearn.kernel_ridge.KernelRidge'>) ... ok
sklearn.tests.test_common.test_all_estimators('LDA', <class 'sklearn.discriminant_analysis.LinearDiscriminantAnalysis'>) ... ok
sklearn.tests.test_common.test_all_estimators('LSHForest', <class 'sklearn.neighbors.approximate.LSHForest'>) ... ok
sklearn.tests.test_common.test_all_estimators('LabelPropagation', <class 'sklearn.semi_supervised.label_propagation.LabelPropagation'>) ... ok
sklearn.tests.test_common.test_all_estimators('LabelSpreading', <class 'sklearn.semi_supervised.label_propagation.LabelSpreading'>) ... ok
sklearn.tests.test_common.test_all_estimators('Lars', <class 'sklearn.linear_model.least_angle.Lars'>) ... ok
sklearn.tests.test_common.test_all_estimators('LarsCV', <class 'sklearn.linear_model.least_angle.LarsCV'>) ... ok
sklearn.tests.test_common.test_all_estimators('Lasso', <class 'sklearn.linear_model.coordinate_descent.Lasso'>) ... ok
sklearn.tests.test_common.test_all_estimators('LassoCV', <class 'sklearn.linear_model.coordinate_descent.LassoCV'>) ... ok
sklearn.tests.test_common.test_all_estimators('LassoLars', <class 'sklearn.linear_model.least_angle.LassoLars'>) ... ok
sklearn.tests.test_common.test_all_estimators('LassoLarsCV', <class 'sklearn.linear_model.least_angle.LassoLarsCV'>) ... ok
sklearn.tests.test_common.test_all_estimators('LassoLarsIC', <class 'sklearn.linear_model.least_angle.LassoLarsIC'>) ... ok
sklearn.tests.test_common.test_all_estimators('LatentDirichletAllocation', <class 'sklearn.decomposition.online_lda.LatentDirichletAllocation'>) ... ok
sklearn.tests.test_common.test_all_estimators('LedoitWolf', <class 'sklearn.covariance.shrunk_covariance_.LedoitWolf'>) ... ok
sklearn.tests.test_common.test_all_estimators('LinearDiscriminantAnalysis', <class 'sklearn.discriminant_analysis.LinearDiscriminantAnalysis'>) ... ok
sklearn.tests.test_common.test_all_estimators('LinearRegression', <class 'sklearn.linear_model.base.LinearRegression'>) ... ok
sklearn.tests.test_common.test_all_estimators('LinearSVC', <class 'sklearn.svm.classes.LinearSVC'>) ... ok
sklearn.tests.test_common.test_all_estimators('LinearSVR', <class 'sklearn.svm.classes.LinearSVR'>) ... ok
sklearn.tests.test_common.test_all_estimators('LocallyLinearEmbedding', <class 'sklearn.manifold.locally_linear.LocallyLinearEmbedding'>) ... ok
sklearn.tests.test_common.test_all_estimators('LogisticRegression', <class 'sklearn.linear_model.logistic.LogisticRegression'>) ... ok
sklearn.tests.test_common.test_all_estimators('LogisticRegressionCV', <class 'sklearn.linear_model.logistic.LogisticRegressionCV'>) ... ok
sklearn.tests.test_common.test_all_estimators('MDS', <class 'sklearn.manifold.mds.MDS'>) ... ok
sklearn.tests.test_common.test_all_estimators('MaxAbsScaler', <class 'sklearn.preprocessing.data.MaxAbsScaler'>) ... ok
sklearn.tests.test_common.test_all_estimators('MeanShift', <class 'sklearn.cluster.mean_shift_.MeanShift'>) ... ok
sklearn.tests.test_common.test_all_estimators('MinCovDet', <class 'sklearn.covariance.robust_covariance.MinCovDet'>) ... ok
sklearn.tests.test_common.test_all_estimators('MinMaxScaler', <class 'sklearn.preprocessing.data.MinMaxScaler'>) ... ok
sklearn.tests.test_common.test_all_estimators('MiniBatchDictionaryLearning', <class 'sklearn.decomposition.dict_learning.MiniBatchDictionaryLearning'>) ... ok
sklearn.tests.test_common.test_all_estimators('MiniBatchKMeans', <class 'sklearn.cluster.k_means_.MiniBatchKMeans'>) ... ok
sklearn.tests.test_common.test_all_estimators('MiniBatchSparsePCA', <class 'sklearn.decomposition.sparse_pca.MiniBatchSparsePCA'>) ... ok
sklearn.tests.test_common.test_all_estimators('MultiTaskElasticNet', <class 'sklearn.linear_model.coordinate_descent.MultiTaskElasticNet'>) ... ok
sklearn.tests.test_common.test_all_estimators('MultiTaskElasticNetCV', <class 'sklearn.linear_model.coordinate_descent.MultiTaskElasticNetCV'>) ... ok
sklearn.tests.test_common.test_all_estimators('MultiTaskLasso', <class 'sklearn.linear_model.coordinate_descent.MultiTaskLasso'>) ... ok
sklearn.tests.test_common.test_all_estimators('MultiTaskLassoCV', <class 'sklearn.linear_model.coordinate_descent.MultiTaskLassoCV'>) ... ok
sklearn.tests.test_common.test_all_estimators('MultinomialNB', <class 'sklearn.naive_bayes.MultinomialNB'>) ... ok
sklearn.tests.test_common.test_all_estimators('NMF', <class 'sklearn.decomposition.nmf.NMF'>) ... ok
sklearn.tests.test_common.test_all_estimators('NearestCentroid', <class 'sklearn.neighbors.nearest_centroid.NearestCentroid'>) ... ok
sklearn.tests.test_common.test_all_estimators('NearestNeighbors', <class 'sklearn.neighbors.unsupervised.NearestNeighbors'>) ... ok
sklearn.tests.test_common.test_all_estimators('Normalizer', <class 'sklearn.preprocessing.data.Normalizer'>) ... ok
sklearn.tests.test_common.test_all_estimators('NuSVC', <class 'sklearn.svm.classes.NuSVC'>) ... ok
sklearn.tests.test_common.test_all_estimators('NuSVR', <class 'sklearn.svm.classes.NuSVR'>) ... ok
sklearn.tests.test_common.test_all_estimators('Nystroem', <class 'sklearn.kernel_approximation.Nystroem'>) ... ok
sklearn.tests.test_common.test_all_estimators('OAS', <class 'sklearn.covariance.shrunk_covariance_.OAS'>) ... ok
sklearn.tests.test_common.test_all_estimators('OneClassSVM', <class 'sklearn.svm.classes.OneClassSVM'>) ... ok
sklearn.tests.test_common.test_all_estimators('OneVsOneClassifier', <class 'sklearn.multiclass.OneVsOneClassifier'>) ... ok
sklearn.tests.test_common.test_all_estimators('OneVsRestClassifier', <class 'sklearn.multiclass.OneVsRestClassifier'>) ... ok
sklearn.tests.test_common.test_all_estimators('OrthogonalMatchingPursuit', <class 'sklearn.linear_model.omp.OrthogonalMatchingPursuit'>) ... ok
sklearn.tests.test_common.test_all_estimators('OrthogonalMatchingPursuitCV', <class 'sklearn.linear_model.omp.OrthogonalMatchingPursuitCV'>) ... ok
sklearn.tests.test_common.test_all_estimators('OutputCodeClassifier', <class 'sklearn.multiclass.OutputCodeClassifier'>) ... ok
sklearn.tests.test_common.test_all_estimators('PCA', <class 'sklearn.decomposition.pca.PCA'>) ... ok
sklearn.tests.test_common.test_all_estimators('PLSCanonical', <class 'sklearn.cross_decomposition.pls_.PLSCanonical'>) ... ok
sklearn.tests.test_common.test_all_estimators('PLSRegression', <class 'sklearn.cross_decomposition.pls_.PLSRegression'>) ... ok
sklearn.tests.test_common.test_all_estimators('PLSSVD', <class 'sklearn.cross_decomposition.pls_.PLSSVD'>) ... ok
sklearn.tests.test_common.test_all_estimators('PassiveAggressiveClassifier', <class 'sklearn.linear_model.passive_aggressive.PassiveAggressiveClassifier'>) ... ok
sklearn.tests.test_common.test_all_estimators('PassiveAggressiveRegressor', <class 'sklearn.linear_model.passive_aggressive.PassiveAggressiveRegressor'>) ... ok
sklearn.tests.test_common.test_all_estimators('Perceptron', <class 'sklearn.linear_model.perceptron.Perceptron'>) ... ok
sklearn.tests.test_common.test_all_estimators('ProjectedGradientNMF', <class 'sklearn.decomposition.nmf.ProjectedGradientNMF'>) ... ok
sklearn.tests.test_common.test_all_estimators('QDA', <class 'sklearn.discriminant_analysis.QuadraticDiscriminantAnalysis'>) ... ok
sklearn.tests.test_common.test_all_estimators('QuadraticDiscriminantAnalysis', <class 'sklearn.discriminant_analysis.QuadraticDiscriminantAnalysis'>) ... ok
sklearn.tests.test_common.test_all_estimators('RANSACRegressor', <class 'sklearn.linear_model.ransac.RANSACRegressor'>) ... ok
sklearn.tests.test_common.test_all_estimators('RBFSampler', <class 'sklearn.kernel_approximation.RBFSampler'>) ... ok
sklearn.tests.test_common.test_all_estimators('RFE', <class 'sklearn.feature_selection.rfe.RFE'>) ... ok
sklearn.tests.test_common.test_all_estimators('RFECV', <class 'sklearn.feature_selection.rfe.RFECV'>) ... ok
sklearn.tests.test_common.test_all_estimators('RadiusNeighborsClassifier', <class 'sklearn.neighbors.classification.RadiusNeighborsClassifier'>) ... ok
sklearn.tests.test_common.test_all_estimators('RadiusNeighborsRegressor', <class 'sklearn.neighbors.regression.RadiusNeighborsRegressor'>) ... ok
sklearn.tests.test_common.test_all_estimators('RandomForestClassifier', <class 'sklearn.ensemble.forest.RandomForestClassifier'>) ... ok
sklearn.tests.test_common.test_all_estimators('RandomForestRegressor', <class 'sklearn.ensemble.forest.RandomForestRegressor'>) ... ok
sklearn.tests.test_common.test_all_estimators('RandomizedLasso', <class 'sklearn.linear_model.randomized_l1.RandomizedLasso'>) ... ok
sklearn.tests.test_common.test_all_estimators('RandomizedLogisticRegression', <class 'sklearn.linear_model.randomized_l1.RandomizedLogisticRegression'>) ... ok
sklearn.tests.test_common.test_all_estimators('RandomizedPCA', <class 'sklearn.decomposition.pca.RandomizedPCA'>) ... ok
sklearn.tests.test_common.test_all_estimators('Ridge', <class 'sklearn.linear_model.ridge.Ridge'>) ... ok
sklearn.tests.test_common.test_all_estimators('RidgeCV', <class 'sklearn.linear_model.ridge.RidgeCV'>) ... ok
sklearn.tests.test_common.test_all_estimators('RidgeClassifier', <class 'sklearn.linear_model.ridge.RidgeClassifier'>) ... ok
sklearn.tests.test_common.test_all_estimators('RidgeClassifierCV', <class 'sklearn.linear_model.ridge.RidgeClassifierCV'>) ... ok
sklearn.tests.test_common.test_all_estimators('RobustScaler', <class 'sklearn.preprocessing.data.RobustScaler'>) ... ok
sklearn.tests.test_common.test_all_estimators('SGDClassifier', <class 'sklearn.linear_model.stochastic_gradient.SGDClassifier'>) ... ok
sklearn.tests.test_common.test_all_estimators('SGDRegressor', <class 'sklearn.linear_model.stochastic_gradient.SGDRegressor'>) ... ok
sklearn.tests.test_common.test_all_estimators('SVC', <class 'sklearn.svm.classes.SVC'>) ... ok
sklearn.tests.test_common.test_all_estimators('SVR', <class 'sklearn.svm.classes.SVR'>) ... ok
sklearn.tests.test_common.test_all_estimators('SelectFdr', <class 'sklearn.feature_selection.univariate_selection.SelectFdr'>) ... ok
sklearn.tests.test_common.test_all_estimators('SelectFpr', <class 'sklearn.feature_selection.univariate_selection.SelectFpr'>) ... ok
sklearn.tests.test_common.test_all_estimators('SelectFwe', <class 'sklearn.feature_selection.univariate_selection.SelectFwe'>) ... ok
sklearn.tests.test_common.test_all_estimators('SelectKBest', <class 'sklearn.feature_selection.univariate_selection.SelectKBest'>) ... ok
sklearn.tests.test_common.test_all_estimators('SelectPercentile', <class 'sklearn.feature_selection.univariate_selection.SelectPercentile'>) ... ok
sklearn.tests.test_common.test_all_estimators('ShrunkCovariance', <class 'sklearn.covariance.shrunk_covariance_.ShrunkCovariance'>) ... ok
sklearn.tests.test_common.test_all_estimators('SkewedChi2Sampler', <class 'sklearn.kernel_approximation.SkewedChi2Sampler'>) ... ok
sklearn.tests.test_common.test_all_estimators('SparsePCA', <class 'sklearn.decomposition.sparse_pca.SparsePCA'>) ... ok
sklearn.tests.test_common.test_all_estimators('SparseRandomProjection', <class 'sklearn.random_projection.SparseRandomProjection'>) ... ok
sklearn.tests.test_common.test_all_estimators('SpectralBiclustering', <class 'sklearn.cluster.bicluster.SpectralBiclustering'>) ... ok
sklearn.tests.test_common.test_all_estimators('SpectralClustering', <class 'sklearn.cluster.spectral.SpectralClustering'>) ... ok
sklearn.tests.test_common.test_all_estimators('SpectralCoclustering', <class 'sklearn.cluster.bicluster.SpectralCoclustering'>) ... ok
sklearn.tests.test_common.test_all_estimators('SpectralEmbedding', <class 'sklearn.manifold.spectral_embedding_.SpectralEmbedding'>) ... ok
sklearn.tests.test_common.test_all_estimators('StandardScaler', <class 'sklearn.preprocessing.data.StandardScaler'>) ... ok
sklearn.tests.test_common.test_all_estimators('TSNE', <class 'sklearn.manifold.t_sne.TSNE'>) ... ok
sklearn.tests.test_common.test_all_estimators('TheilSenRegressor', <class 'sklearn.linear_model.theil_sen.TheilSenRegressor'>) ... ok
sklearn.tests.test_common.test_all_estimators('VBGMM', <class 'sklearn.mixture.dpgmm.VBGMM'>) ... ok
sklearn.tests.test_common.test_all_estimators('VarianceThreshold', <class 'sklearn.feature_selection.variance_threshold.VarianceThreshold'>) ... ok
sklearn.tests.test_common.test_all_estimators('_BaseRidgeCV', <class 'sklearn.linear_model.ridge._BaseRidgeCV'>) ... ok
sklearn.tests.test_common.test_all_estimators('_ConstantPredictor', <class 'sklearn.multiclass._ConstantPredictor'>) ... ok
sklearn.tests.test_common.test_all_estimators('_RidgeGCV', <class 'sklearn.linear_model.ridge._RidgeGCV'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('ARDRegression', <class 'sklearn.linear_model.bayes.ARDRegression'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('ARDRegression', <class 'sklearn.linear_model.bayes.ARDRegression'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('ARDRegression', <class 'sklearn.linear_model.bayes.ARDRegression'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('ARDRegression', <class 'sklearn.linear_model.bayes.ARDRegression'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('ARDRegression', <class 'sklearn.linear_model.bayes.ARDRegression'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('ARDRegression', <class 'sklearn.linear_model.bayes.ARDRegression'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('ARDRegression', <class 'sklearn.linear_model.bayes.ARDRegression'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('ARDRegression', <class 'sklearn.linear_model.bayes.ARDRegression'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('ARDRegression', <class 'sklearn.linear_model.bayes.ARDRegression'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('ARDRegression', <class 'sklearn.linear_model.bayes.ARDRegression'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('ARDRegression', <class 'sklearn.linear_model.bayes.ARDRegression'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('ARDRegression', <class 'sklearn.linear_model.bayes.ARDRegression'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('ARDRegression', <class 'sklearn.linear_model.bayes.ARDRegression'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('ARDRegression', <class 'sklearn.linear_model.bayes.ARDRegression'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('ARDRegression', <class 'sklearn.linear_model.bayes.ARDRegression'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('ARDRegression', <class 'sklearn.linear_model.bayes.ARDRegression'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('ARDRegression', <class 'sklearn.linear_model.bayes.ARDRegression'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('ARDRegression', <class 'sklearn.linear_model.bayes.ARDRegression'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('ARDRegression', <class 'sklearn.linear_model.bayes.ARDRegression'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('ARDRegression', <class 'sklearn.linear_model.bayes.ARDRegression'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('ARDRegression', <class 'sklearn.linear_model.bayes.ARDRegression'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('ARDRegression', <class 'sklearn.linear_model.bayes.ARDRegression'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('AdaBoostClassifier', <class 'sklearn.ensemble.weight_boosting.AdaBoostClassifier'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('AdaBoostClassifier', <class 'sklearn.ensemble.weight_boosting.AdaBoostClassifier'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('AdaBoostClassifier', <class 'sklearn.ensemble.weight_boosting.AdaBoostClassifier'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('AdaBoostClassifier', <class 'sklearn.ensemble.weight_boosting.AdaBoostClassifier'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('AdaBoostClassifier', <class 'sklearn.ensemble.weight_boosting.AdaBoostClassifier'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('AdaBoostClassifier', <class 'sklearn.ensemble.weight_boosting.AdaBoostClassifier'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('AdaBoostClassifier', <class 'sklearn.ensemble.weight_boosting.AdaBoostClassifier'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('AdaBoostClassifier', <class 'sklearn.ensemble.weight_boosting.AdaBoostClassifier'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('AdaBoostClassifier', <class 'sklearn.ensemble.weight_boosting.AdaBoostClassifier'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('AdaBoostClassifier', <class 'sklearn.ensemble.weight_boosting.AdaBoostClassifier'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('AdaBoostClassifier', <class 'sklearn.ensemble.weight_boosting.AdaBoostClassifier'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('AdaBoostClassifier', <class 'sklearn.ensemble.weight_boosting.AdaBoostClassifier'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('AdaBoostClassifier', <class 'sklearn.ensemble.weight_boosting.AdaBoostClassifier'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('AdaBoostClassifier', <class 'sklearn.ensemble.weight_boosting.AdaBoostClassifier'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('AdaBoostClassifier', <class 'sklearn.ensemble.weight_boosting.AdaBoostClassifier'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('AdaBoostClassifier', <class 'sklearn.ensemble.weight_boosting.AdaBoostClassifier'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('AdaBoostClassifier', <class 'sklearn.ensemble.weight_boosting.AdaBoostClassifier'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('AdaBoostClassifier', <class 'sklearn.ensemble.weight_boosting.AdaBoostClassifier'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('AdaBoostClassifier', <class 'sklearn.ensemble.weight_boosting.AdaBoostClassifier'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('AdaBoostClassifier', <class 'sklearn.ensemble.weight_boosting.AdaBoostClassifier'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('AdaBoostClassifier', <class 'sklearn.ensemble.weight_boosting.AdaBoostClassifier'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('AdaBoostClassifier', <class 'sklearn.ensemble.weight_boosting.AdaBoostClassifier'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('AdaBoostClassifier', <class 'sklearn.ensemble.weight_boosting.AdaBoostClassifier'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('AdaBoostRegressor', <class 'sklearn.ensemble.weight_boosting.AdaBoostRegressor'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('AdaBoostRegressor', <class 'sklearn.ensemble.weight_boosting.AdaBoostRegressor'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('AdaBoostRegressor', <class 'sklearn.ensemble.weight_boosting.AdaBoostRegressor'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('AdaBoostRegressor', <class 'sklearn.ensemble.weight_boosting.AdaBoostRegressor'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('AdaBoostRegressor', <class 'sklearn.ensemble.weight_boosting.AdaBoostRegressor'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('AdaBoostRegressor', <class 'sklearn.ensemble.weight_boosting.AdaBoostRegressor'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('AdaBoostRegressor', <class 'sklearn.ensemble.weight_boosting.AdaBoostRegressor'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('AdaBoostRegressor', <class 'sklearn.ensemble.weight_boosting.AdaBoostRegressor'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('AdaBoostRegressor', <class 'sklearn.ensemble.weight_boosting.AdaBoostRegressor'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('AdaBoostRegressor', <class 'sklearn.ensemble.weight_boosting.AdaBoostRegressor'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('AdaBoostRegressor', <class 'sklearn.ensemble.weight_boosting.AdaBoostRegressor'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('AdaBoostRegressor', <class 'sklearn.ensemble.weight_boosting.AdaBoostRegressor'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('AdaBoostRegressor', <class 'sklearn.ensemble.weight_boosting.AdaBoostRegressor'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('AdaBoostRegressor', <class 'sklearn.ensemble.weight_boosting.AdaBoostRegressor'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('AdaBoostRegressor', <class 'sklearn.ensemble.weight_boosting.AdaBoostRegressor'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('AdaBoostRegressor', <class 'sklearn.ensemble.weight_boosting.AdaBoostRegressor'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('AdaBoostRegressor', <class 'sklearn.ensemble.weight_boosting.AdaBoostRegressor'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('AdaBoostRegressor', <class 'sklearn.ensemble.weight_boosting.AdaBoostRegressor'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('AdaBoostRegressor', <class 'sklearn.ensemble.weight_boosting.AdaBoostRegressor'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('AdaBoostRegressor', <class 'sklearn.ensemble.weight_boosting.AdaBoostRegressor'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('AdaBoostRegressor', <class 'sklearn.ensemble.weight_boosting.AdaBoostRegressor'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('AdaBoostRegressor', <class 'sklearn.ensemble.weight_boosting.AdaBoostRegressor'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('AdditiveChi2Sampler', <class 'sklearn.kernel_approximation.AdditiveChi2Sampler'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('AdditiveChi2Sampler', <class 'sklearn.kernel_approximation.AdditiveChi2Sampler'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('AdditiveChi2Sampler', <class 'sklearn.kernel_approximation.AdditiveChi2Sampler'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('AdditiveChi2Sampler', <class 'sklearn.kernel_approximation.AdditiveChi2Sampler'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('AdditiveChi2Sampler', <class 'sklearn.kernel_approximation.AdditiveChi2Sampler'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('AdditiveChi2Sampler', <class 'sklearn.kernel_approximation.AdditiveChi2Sampler'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('AdditiveChi2Sampler', <class 'sklearn.kernel_approximation.AdditiveChi2Sampler'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('AdditiveChi2Sampler', <class 'sklearn.kernel_approximation.AdditiveChi2Sampler'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('AdditiveChi2Sampler', <class 'sklearn.kernel_approximation.AdditiveChi2Sampler'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('AdditiveChi2Sampler', <class 'sklearn.kernel_approximation.AdditiveChi2Sampler'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('AdditiveChi2Sampler', <class 'sklearn.kernel_approximation.AdditiveChi2Sampler'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('AdditiveChi2Sampler', <class 'sklearn.kernel_approximation.AdditiveChi2Sampler'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('AdditiveChi2Sampler', <class 'sklearn.kernel_approximation.AdditiveChi2Sampler'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('AdditiveChi2Sampler', <class 'sklearn.kernel_approximation.AdditiveChi2Sampler'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('AdditiveChi2Sampler', <class 'sklearn.kernel_approximation.AdditiveChi2Sampler'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('AffinityPropagation', <class 'sklearn.cluster.affinity_propagation_.AffinityPropagation'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('AffinityPropagation', <class 'sklearn.cluster.affinity_propagation_.AffinityPropagation'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('AffinityPropagation', <class 'sklearn.cluster.affinity_propagation_.AffinityPropagation'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('AffinityPropagation', <class 'sklearn.cluster.affinity_propagation_.AffinityPropagation'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('AffinityPropagation', <class 'sklearn.cluster.affinity_propagation_.AffinityPropagation'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('AffinityPropagation', <class 'sklearn.cluster.affinity_propagation_.AffinityPropagation'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('AffinityPropagation', <class 'sklearn.cluster.affinity_propagation_.AffinityPropagation'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('AffinityPropagation', <class 'sklearn.cluster.affinity_propagation_.AffinityPropagation'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('AffinityPropagation', <class 'sklearn.cluster.affinity_propagation_.AffinityPropagation'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('AffinityPropagation', <class 'sklearn.cluster.affinity_propagation_.AffinityPropagation'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('AffinityPropagation', <class 'sklearn.cluster.affinity_propagation_.AffinityPropagation'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('AffinityPropagation', <class 'sklearn.cluster.affinity_propagation_.AffinityPropagation'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('AffinityPropagation', <class 'sklearn.cluster.affinity_propagation_.AffinityPropagation'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('AffinityPropagation', <class 'sklearn.cluster.affinity_propagation_.AffinityPropagation'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('AffinityPropagation', <class 'sklearn.cluster.affinity_propagation_.AffinityPropagation'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('AffinityPropagation', <class 'sklearn.cluster.affinity_propagation_.AffinityPropagation'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('AffinityPropagation', <class 'sklearn.cluster.affinity_propagation_.AffinityPropagation'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('AffinityPropagation', <class 'sklearn.cluster.affinity_propagation_.AffinityPropagation'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('AgglomerativeClustering', <class 'sklearn.cluster.hierarchical.AgglomerativeClustering'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('AgglomerativeClustering', <class 'sklearn.cluster.hierarchical.AgglomerativeClustering'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('AgglomerativeClustering', <class 'sklearn.cluster.hierarchical.AgglomerativeClustering'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('AgglomerativeClustering', <class 'sklearn.cluster.hierarchical.AgglomerativeClustering'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('AgglomerativeClustering', <class 'sklearn.cluster.hierarchical.AgglomerativeClustering'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('AgglomerativeClustering', <class 'sklearn.cluster.hierarchical.AgglomerativeClustering'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('AgglomerativeClustering', <class 'sklearn.cluster.hierarchical.AgglomerativeClustering'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('AgglomerativeClustering', <class 'sklearn.cluster.hierarchical.AgglomerativeClustering'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('AgglomerativeClustering', <class 'sklearn.cluster.hierarchical.AgglomerativeClustering'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('AgglomerativeClustering', <class 'sklearn.cluster.hierarchical.AgglomerativeClustering'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('AgglomerativeClustering', <class 'sklearn.cluster.hierarchical.AgglomerativeClustering'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('AgglomerativeClustering', <class 'sklearn.cluster.hierarchical.AgglomerativeClustering'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('AgglomerativeClustering', <class 'sklearn.cluster.hierarchical.AgglomerativeClustering'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('AgglomerativeClustering', <class 'sklearn.cluster.hierarchical.AgglomerativeClustering'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('AgglomerativeClustering', <class 'sklearn.cluster.hierarchical.AgglomerativeClustering'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('AgglomerativeClustering', <class 'sklearn.cluster.hierarchical.AgglomerativeClustering'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('AgglomerativeClustering', <class 'sklearn.cluster.hierarchical.AgglomerativeClustering'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('AgglomerativeClustering', <class 'sklearn.cluster.hierarchical.AgglomerativeClustering'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('BaggingClassifier', <class 'sklearn.ensemble.bagging.BaggingClassifier'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('BaggingClassifier', <class 'sklearn.ensemble.bagging.BaggingClassifier'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('BaggingClassifier', <class 'sklearn.ensemble.bagging.BaggingClassifier'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('BaggingClassifier', <class 'sklearn.ensemble.bagging.BaggingClassifier'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('BaggingClassifier', <class 'sklearn.ensemble.bagging.BaggingClassifier'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('BaggingClassifier', <class 'sklearn.ensemble.bagging.BaggingClassifier'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('BaggingClassifier', <class 'sklearn.ensemble.bagging.BaggingClassifier'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('BaggingClassifier', <class 'sklearn.ensemble.bagging.BaggingClassifier'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('BaggingClassifier', <class 'sklearn.ensemble.bagging.BaggingClassifier'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('BaggingClassifier', <class 'sklearn.ensemble.bagging.BaggingClassifier'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('BaggingClassifier', <class 'sklearn.ensemble.bagging.BaggingClassifier'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('BaggingClassifier', <class 'sklearn.ensemble.bagging.BaggingClassifier'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('BaggingClassifier', <class 'sklearn.ensemble.bagging.BaggingClassifier'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('BaggingClassifier', <class 'sklearn.ensemble.bagging.BaggingClassifier'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('BaggingClassifier', <class 'sklearn.ensemble.bagging.BaggingClassifier'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('BaggingClassifier', <class 'sklearn.ensemble.bagging.BaggingClassifier'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('BaggingClassifier', <class 'sklearn.ensemble.bagging.BaggingClassifier'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('BaggingClassifier', <class 'sklearn.ensemble.bagging.BaggingClassifier'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('BaggingClassifier', <class 'sklearn.ensemble.bagging.BaggingClassifier'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('BaggingClassifier', <class 'sklearn.ensemble.bagging.BaggingClassifier'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('BaggingClassifier', <class 'sklearn.ensemble.bagging.BaggingClassifier'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('BaggingClassifier', <class 'sklearn.ensemble.bagging.BaggingClassifier'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('BaggingClassifier', <class 'sklearn.ensemble.bagging.BaggingClassifier'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('BaggingRegressor', <class 'sklearn.ensemble.bagging.BaggingRegressor'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('BaggingRegressor', <class 'sklearn.ensemble.bagging.BaggingRegressor'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('BaggingRegressor', <class 'sklearn.ensemble.bagging.BaggingRegressor'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('BaggingRegressor', <class 'sklearn.ensemble.bagging.BaggingRegressor'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('BaggingRegressor', <class 'sklearn.ensemble.bagging.BaggingRegressor'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('BaggingRegressor', <class 'sklearn.ensemble.bagging.BaggingRegressor'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('BaggingRegressor', <class 'sklearn.ensemble.bagging.BaggingRegressor'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('BaggingRegressor', <class 'sklearn.ensemble.bagging.BaggingRegressor'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('BaggingRegressor', <class 'sklearn.ensemble.bagging.BaggingRegressor'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('BaggingRegressor', <class 'sklearn.ensemble.bagging.BaggingRegressor'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('BaggingRegressor', <class 'sklearn.ensemble.bagging.BaggingRegressor'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('BaggingRegressor', <class 'sklearn.ensemble.bagging.BaggingRegressor'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('BaggingRegressor', <class 'sklearn.ensemble.bagging.BaggingRegressor'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('BaggingRegressor', <class 'sklearn.ensemble.bagging.BaggingRegressor'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('BaggingRegressor', <class 'sklearn.ensemble.bagging.BaggingRegressor'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('BaggingRegressor', <class 'sklearn.ensemble.bagging.BaggingRegressor'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('BaggingRegressor', <class 'sklearn.ensemble.bagging.BaggingRegressor'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('BaggingRegressor', <class 'sklearn.ensemble.bagging.BaggingRegressor'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('BaggingRegressor', <class 'sklearn.ensemble.bagging.BaggingRegressor'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('BaggingRegressor', <class 'sklearn.ensemble.bagging.BaggingRegressor'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('BaggingRegressor', <class 'sklearn.ensemble.bagging.BaggingRegressor'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('BaggingRegressor', <class 'sklearn.ensemble.bagging.BaggingRegressor'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('BayesianRidge', <class 'sklearn.linear_model.bayes.BayesianRidge'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('BayesianRidge', <class 'sklearn.linear_model.bayes.BayesianRidge'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('BayesianRidge', <class 'sklearn.linear_model.bayes.BayesianRidge'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('BayesianRidge', <class 'sklearn.linear_model.bayes.BayesianRidge'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('BayesianRidge', <class 'sklearn.linear_model.bayes.BayesianRidge'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('BayesianRidge', <class 'sklearn.linear_model.bayes.BayesianRidge'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('BayesianRidge', <class 'sklearn.linear_model.bayes.BayesianRidge'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('BayesianRidge', <class 'sklearn.linear_model.bayes.BayesianRidge'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('BayesianRidge', <class 'sklearn.linear_model.bayes.BayesianRidge'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('BayesianRidge', <class 'sklearn.linear_model.bayes.BayesianRidge'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('BayesianRidge', <class 'sklearn.linear_model.bayes.BayesianRidge'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('BayesianRidge', <class 'sklearn.linear_model.bayes.BayesianRidge'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('BayesianRidge', <class 'sklearn.linear_model.bayes.BayesianRidge'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('BayesianRidge', <class 'sklearn.linear_model.bayes.BayesianRidge'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('BayesianRidge', <class 'sklearn.linear_model.bayes.BayesianRidge'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('BayesianRidge', <class 'sklearn.linear_model.bayes.BayesianRidge'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('BayesianRidge', <class 'sklearn.linear_model.bayes.BayesianRidge'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('BayesianRidge', <class 'sklearn.linear_model.bayes.BayesianRidge'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('BayesianRidge', <class 'sklearn.linear_model.bayes.BayesianRidge'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('BayesianRidge', <class 'sklearn.linear_model.bayes.BayesianRidge'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('BayesianRidge', <class 'sklearn.linear_model.bayes.BayesianRidge'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('BayesianRidge', <class 'sklearn.linear_model.bayes.BayesianRidge'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('BernoulliNB', <class 'sklearn.naive_bayes.BernoulliNB'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('BernoulliNB', <class 'sklearn.naive_bayes.BernoulliNB'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('BernoulliNB', <class 'sklearn.naive_bayes.BernoulliNB'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('BernoulliNB', <class 'sklearn.naive_bayes.BernoulliNB'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('BernoulliNB', <class 'sklearn.naive_bayes.BernoulliNB'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('BernoulliNB', <class 'sklearn.naive_bayes.BernoulliNB'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('BernoulliNB', <class 'sklearn.naive_bayes.BernoulliNB'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('BernoulliNB', <class 'sklearn.naive_bayes.BernoulliNB'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('BernoulliNB', <class 'sklearn.naive_bayes.BernoulliNB'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('BernoulliNB', <class 'sklearn.naive_bayes.BernoulliNB'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('BernoulliNB', <class 'sklearn.naive_bayes.BernoulliNB'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('BernoulliNB', <class 'sklearn.naive_bayes.BernoulliNB'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('BernoulliNB', <class 'sklearn.naive_bayes.BernoulliNB'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('BernoulliNB', <class 'sklearn.naive_bayes.BernoulliNB'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('BernoulliNB', <class 'sklearn.naive_bayes.BernoulliNB'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('BernoulliNB', <class 'sklearn.naive_bayes.BernoulliNB'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('BernoulliNB', <class 'sklearn.naive_bayes.BernoulliNB'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('BernoulliNB', <class 'sklearn.naive_bayes.BernoulliNB'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('BernoulliNB', <class 'sklearn.naive_bayes.BernoulliNB'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('BernoulliNB', <class 'sklearn.naive_bayes.BernoulliNB'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('BernoulliNB', <class 'sklearn.naive_bayes.BernoulliNB'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('BernoulliNB', <class 'sklearn.naive_bayes.BernoulliNB'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('BernoulliNB', <class 'sklearn.naive_bayes.BernoulliNB'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('BernoulliRBM', <class 'sklearn.neural_network.rbm.BernoulliRBM'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('BernoulliRBM', <class 'sklearn.neural_network.rbm.BernoulliRBM'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('BernoulliRBM', <class 'sklearn.neural_network.rbm.BernoulliRBM'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('BernoulliRBM', <class 'sklearn.neural_network.rbm.BernoulliRBM'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('BernoulliRBM', <class 'sklearn.neural_network.rbm.BernoulliRBM'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('BernoulliRBM', <class 'sklearn.neural_network.rbm.BernoulliRBM'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('BernoulliRBM', <class 'sklearn.neural_network.rbm.BernoulliRBM'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('BernoulliRBM', <class 'sklearn.neural_network.rbm.BernoulliRBM'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('BernoulliRBM', <class 'sklearn.neural_network.rbm.BernoulliRBM'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('BernoulliRBM', <class 'sklearn.neural_network.rbm.BernoulliRBM'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('BernoulliRBM', <class 'sklearn.neural_network.rbm.BernoulliRBM'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('BernoulliRBM', <class 'sklearn.neural_network.rbm.BernoulliRBM'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('BernoulliRBM', <class 'sklearn.neural_network.rbm.BernoulliRBM'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('BernoulliRBM', <class 'sklearn.neural_network.rbm.BernoulliRBM'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('BernoulliRBM', <class 'sklearn.neural_network.rbm.BernoulliRBM'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('BernoulliRBM', <class 'sklearn.neural_network.rbm.BernoulliRBM'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('BernoulliRBM', <class 'sklearn.neural_network.rbm.BernoulliRBM'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('BernoulliRBM', <class 'sklearn.neural_network.rbm.BernoulliRBM'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('Binarizer', <class 'sklearn.preprocessing.data.Binarizer'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('Binarizer', <class 'sklearn.preprocessing.data.Binarizer'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('Binarizer', <class 'sklearn.preprocessing.data.Binarizer'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('Binarizer', <class 'sklearn.preprocessing.data.Binarizer'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('Binarizer', <class 'sklearn.preprocessing.data.Binarizer'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('Binarizer', <class 'sklearn.preprocessing.data.Binarizer'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('Binarizer', <class 'sklearn.preprocessing.data.Binarizer'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('Binarizer', <class 'sklearn.preprocessing.data.Binarizer'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('Binarizer', <class 'sklearn.preprocessing.data.Binarizer'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('Binarizer', <class 'sklearn.preprocessing.data.Binarizer'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('Binarizer', <class 'sklearn.preprocessing.data.Binarizer'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('Binarizer', <class 'sklearn.preprocessing.data.Binarizer'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('Binarizer', <class 'sklearn.preprocessing.data.Binarizer'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('Binarizer', <class 'sklearn.preprocessing.data.Binarizer'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('Binarizer', <class 'sklearn.preprocessing.data.Binarizer'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('Birch', <class 'sklearn.cluster.birch.Birch'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('Birch', <class 'sklearn.cluster.birch.Birch'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('Birch', <class 'sklearn.cluster.birch.Birch'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('Birch', <class 'sklearn.cluster.birch.Birch'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('Birch', <class 'sklearn.cluster.birch.Birch'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('Birch', <class 'sklearn.cluster.birch.Birch'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('Birch', <class 'sklearn.cluster.birch.Birch'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('Birch', <class 'sklearn.cluster.birch.Birch'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('Birch', <class 'sklearn.cluster.birch.Birch'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('Birch', <class 'sklearn.cluster.birch.Birch'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('Birch', <class 'sklearn.cluster.birch.Birch'>) ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cluster/birch.py:601: UserWarning: Number of subclusters found (2) by Birch is less than (3). Decrease the threshold.
% (len(centroids), self.n_clusters))
ok
sklearn.tests.test_common.test_non_meta_estimators('Birch', <class 'sklearn.cluster.birch.Birch'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('Birch', <class 'sklearn.cluster.birch.Birch'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('Birch', <class 'sklearn.cluster.birch.Birch'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('Birch', <class 'sklearn.cluster.birch.Birch'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('Birch', <class 'sklearn.cluster.birch.Birch'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('Birch', <class 'sklearn.cluster.birch.Birch'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('Birch', <class 'sklearn.cluster.birch.Birch'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('Birch', <class 'sklearn.cluster.birch.Birch'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('Birch', <class 'sklearn.cluster.birch.Birch'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('Birch', <class 'sklearn.cluster.birch.Birch'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('CCA', <class 'sklearn.cross_decomposition.cca_.CCA'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('CCA', <class 'sklearn.cross_decomposition.cca_.CCA'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('CCA', <class 'sklearn.cross_decomposition.cca_.CCA'>) ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cross_decomposition/pls_.py:288: UserWarning: Y residual constant at iteration 1
warnings.warn('Y residual constant at iteration %s' % k)
ok
sklearn.tests.test_common.test_non_meta_estimators('CCA', <class 'sklearn.cross_decomposition.cca_.CCA'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('CCA', <class 'sklearn.cross_decomposition.cca_.CCA'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('CCA', <class 'sklearn.cross_decomposition.cca_.CCA'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('CCA', <class 'sklearn.cross_decomposition.cca_.CCA'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('CCA', <class 'sklearn.cross_decomposition.cca_.CCA'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('CCA', <class 'sklearn.cross_decomposition.cca_.CCA'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('CCA', <class 'sklearn.cross_decomposition.cca_.CCA'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('CCA', <class 'sklearn.cross_decomposition.cca_.CCA'>) ... SKIP
sklearn.tests.test_common.test_non_meta_estimators('CCA', <class 'sklearn.cross_decomposition.cca_.CCA'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('CCA', <class 'sklearn.cross_decomposition.cca_.CCA'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('CCA', <class 'sklearn.cross_decomposition.cca_.CCA'>) ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cross_decomposition/pls_.py:288: UserWarning: Y residual constant at iteration 1
warnings.warn('Y residual constant at iteration %s' % k)
ok
sklearn.tests.test_common.test_non_meta_estimators('CCA', <class 'sklearn.cross_decomposition.cca_.CCA'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('CCA', <class 'sklearn.cross_decomposition.cca_.CCA'>) ... SKIP: CCA is non deterministic on 32bit Python
sklearn.tests.test_common.test_non_meta_estimators('CCA', <class 'sklearn.cross_decomposition.cca_.CCA'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('CCA', <class 'sklearn.cross_decomposition.cca_.CCA'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('CCA', <class 'sklearn.cross_decomposition.cca_.CCA'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('CCA', <class 'sklearn.cross_decomposition.cca_.CCA'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('CCA', <class 'sklearn.cross_decomposition.cca_.CCA'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('CCA', <class 'sklearn.cross_decomposition.cca_.CCA'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('CalibratedClassifierCV', <class 'sklearn.calibration.CalibratedClassifierCV'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('CalibratedClassifierCV', <class 'sklearn.calibration.CalibratedClassifierCV'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('CalibratedClassifierCV', <class 'sklearn.calibration.CalibratedClassifierCV'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('CalibratedClassifierCV', <class 'sklearn.calibration.CalibratedClassifierCV'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('CalibratedClassifierCV', <class 'sklearn.calibration.CalibratedClassifierCV'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('CalibratedClassifierCV', <class 'sklearn.calibration.CalibratedClassifierCV'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('CalibratedClassifierCV', <class 'sklearn.calibration.CalibratedClassifierCV'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('CalibratedClassifierCV', <class 'sklearn.calibration.CalibratedClassifierCV'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('CalibratedClassifierCV', <class 'sklearn.calibration.CalibratedClassifierCV'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('CalibratedClassifierCV', <class 'sklearn.calibration.CalibratedClassifierCV'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('CalibratedClassifierCV', <class 'sklearn.calibration.CalibratedClassifierCV'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('CalibratedClassifierCV', <class 'sklearn.calibration.CalibratedClassifierCV'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('CalibratedClassifierCV', <class 'sklearn.calibration.CalibratedClassifierCV'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('CalibratedClassifierCV', <class 'sklearn.calibration.CalibratedClassifierCV'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('CalibratedClassifierCV', <class 'sklearn.calibration.CalibratedClassifierCV'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('CalibratedClassifierCV', <class 'sklearn.calibration.CalibratedClassifierCV'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('CalibratedClassifierCV', <class 'sklearn.calibration.CalibratedClassifierCV'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('CalibratedClassifierCV', <class 'sklearn.calibration.CalibratedClassifierCV'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('CalibratedClassifierCV', <class 'sklearn.calibration.CalibratedClassifierCV'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('CalibratedClassifierCV', <class 'sklearn.calibration.CalibratedClassifierCV'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('CalibratedClassifierCV', <class 'sklearn.calibration.CalibratedClassifierCV'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('CalibratedClassifierCV', <class 'sklearn.calibration.CalibratedClassifierCV'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('CalibratedClassifierCV', <class 'sklearn.calibration.CalibratedClassifierCV'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('DBSCAN', <class 'sklearn.cluster.dbscan_.DBSCAN'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('DBSCAN', <class 'sklearn.cluster.dbscan_.DBSCAN'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('DBSCAN', <class 'sklearn.cluster.dbscan_.DBSCAN'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('DBSCAN', <class 'sklearn.cluster.dbscan_.DBSCAN'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('DBSCAN', <class 'sklearn.cluster.dbscan_.DBSCAN'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('DBSCAN', <class 'sklearn.cluster.dbscan_.DBSCAN'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('DBSCAN', <class 'sklearn.cluster.dbscan_.DBSCAN'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('DBSCAN', <class 'sklearn.cluster.dbscan_.DBSCAN'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('DBSCAN', <class 'sklearn.cluster.dbscan_.DBSCAN'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('DBSCAN', <class 'sklearn.cluster.dbscan_.DBSCAN'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('DBSCAN', <class 'sklearn.cluster.dbscan_.DBSCAN'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('DBSCAN', <class 'sklearn.cluster.dbscan_.DBSCAN'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('DBSCAN', <class 'sklearn.cluster.dbscan_.DBSCAN'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('DBSCAN', <class 'sklearn.cluster.dbscan_.DBSCAN'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('DBSCAN', <class 'sklearn.cluster.dbscan_.DBSCAN'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('DBSCAN', <class 'sklearn.cluster.dbscan_.DBSCAN'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('DBSCAN', <class 'sklearn.cluster.dbscan_.DBSCAN'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('DBSCAN', <class 'sklearn.cluster.dbscan_.DBSCAN'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('DPGMM', <class 'sklearn.mixture.dpgmm.DPGMM'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('DPGMM', <class 'sklearn.mixture.dpgmm.DPGMM'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('DPGMM', <class 'sklearn.mixture.dpgmm.DPGMM'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('DPGMM', <class 'sklearn.mixture.dpgmm.DPGMM'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('DPGMM', <class 'sklearn.mixture.dpgmm.DPGMM'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('DPGMM', <class 'sklearn.mixture.dpgmm.DPGMM'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('DPGMM', <class 'sklearn.mixture.dpgmm.DPGMM'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('DPGMM', <class 'sklearn.mixture.dpgmm.DPGMM'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('DPGMM', <class 'sklearn.mixture.dpgmm.DPGMM'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('DPGMM', <class 'sklearn.mixture.dpgmm.DPGMM'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('DPGMM', <class 'sklearn.mixture.dpgmm.DPGMM'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('DPGMM', <class 'sklearn.mixture.dpgmm.DPGMM'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('DPGMM', <class 'sklearn.mixture.dpgmm.DPGMM'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('DPGMM', <class 'sklearn.mixture.dpgmm.DPGMM'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('DPGMM', <class 'sklearn.mixture.dpgmm.DPGMM'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('DecisionTreeClassifier', <class 'sklearn.tree.tree.DecisionTreeClassifier'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('DecisionTreeClassifier', <class 'sklearn.tree.tree.DecisionTreeClassifier'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('DecisionTreeClassifier', <class 'sklearn.tree.tree.DecisionTreeClassifier'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('DecisionTreeClassifier', <class 'sklearn.tree.tree.DecisionTreeClassifier'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('DecisionTreeClassifier', <class 'sklearn.tree.tree.DecisionTreeClassifier'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('DecisionTreeClassifier', <class 'sklearn.tree.tree.DecisionTreeClassifier'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('DecisionTreeClassifier', <class 'sklearn.tree.tree.DecisionTreeClassifier'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('DecisionTreeClassifier', <class 'sklearn.tree.tree.DecisionTreeClassifier'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('DecisionTreeClassifier', <class 'sklearn.tree.tree.DecisionTreeClassifier'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('DecisionTreeClassifier', <class 'sklearn.tree.tree.DecisionTreeClassifier'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('DecisionTreeClassifier', <class 'sklearn.tree.tree.DecisionTreeClassifier'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('DecisionTreeClassifier', <class 'sklearn.tree.tree.DecisionTreeClassifier'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('DecisionTreeClassifier', <class 'sklearn.tree.tree.DecisionTreeClassifier'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('DecisionTreeClassifier', <class 'sklearn.tree.tree.DecisionTreeClassifier'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('DecisionTreeClassifier', <class 'sklearn.tree.tree.DecisionTreeClassifier'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('DecisionTreeClassifier', <class 'sklearn.tree.tree.DecisionTreeClassifier'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('DecisionTreeClassifier', <class 'sklearn.tree.tree.DecisionTreeClassifier'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('DecisionTreeClassifier', <class 'sklearn.tree.tree.DecisionTreeClassifier'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('DecisionTreeClassifier', <class 'sklearn.tree.tree.DecisionTreeClassifier'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('DecisionTreeClassifier', <class 'sklearn.tree.tree.DecisionTreeClassifier'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('DecisionTreeClassifier', <class 'sklearn.tree.tree.DecisionTreeClassifier'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('DecisionTreeClassifier', <class 'sklearn.tree.tree.DecisionTreeClassifier'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('DecisionTreeClassifier', <class 'sklearn.tree.tree.DecisionTreeClassifier'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('DecisionTreeRegressor', <class 'sklearn.tree.tree.DecisionTreeRegressor'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('DecisionTreeRegressor', <class 'sklearn.tree.tree.DecisionTreeRegressor'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('DecisionTreeRegressor', <class 'sklearn.tree.tree.DecisionTreeRegressor'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('DecisionTreeRegressor', <class 'sklearn.tree.tree.DecisionTreeRegressor'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('DecisionTreeRegressor', <class 'sklearn.tree.tree.DecisionTreeRegressor'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('DecisionTreeRegressor', <class 'sklearn.tree.tree.DecisionTreeRegressor'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('DecisionTreeRegressor', <class 'sklearn.tree.tree.DecisionTreeRegressor'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('DecisionTreeRegressor', <class 'sklearn.tree.tree.DecisionTreeRegressor'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('DecisionTreeRegressor', <class 'sklearn.tree.tree.DecisionTreeRegressor'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('DecisionTreeRegressor', <class 'sklearn.tree.tree.DecisionTreeRegressor'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('DecisionTreeRegressor', <class 'sklearn.tree.tree.DecisionTreeRegressor'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('DecisionTreeRegressor', <class 'sklearn.tree.tree.DecisionTreeRegressor'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('DecisionTreeRegressor', <class 'sklearn.tree.tree.DecisionTreeRegressor'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('DecisionTreeRegressor', <class 'sklearn.tree.tree.DecisionTreeRegressor'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('DecisionTreeRegressor', <class 'sklearn.tree.tree.DecisionTreeRegressor'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('DecisionTreeRegressor', <class 'sklearn.tree.tree.DecisionTreeRegressor'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('DecisionTreeRegressor', <class 'sklearn.tree.tree.DecisionTreeRegressor'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('DecisionTreeRegressor', <class 'sklearn.tree.tree.DecisionTreeRegressor'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('DecisionTreeRegressor', <class 'sklearn.tree.tree.DecisionTreeRegressor'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('DecisionTreeRegressor', <class 'sklearn.tree.tree.DecisionTreeRegressor'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('DecisionTreeRegressor', <class 'sklearn.tree.tree.DecisionTreeRegressor'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('DecisionTreeRegressor', <class 'sklearn.tree.tree.DecisionTreeRegressor'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('DictionaryLearning', <class 'sklearn.decomposition.dict_learning.DictionaryLearning'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('DictionaryLearning', <class 'sklearn.decomposition.dict_learning.DictionaryLearning'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('DictionaryLearning', <class 'sklearn.decomposition.dict_learning.DictionaryLearning'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('DictionaryLearning', <class 'sklearn.decomposition.dict_learning.DictionaryLearning'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('DictionaryLearning', <class 'sklearn.decomposition.dict_learning.DictionaryLearning'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('DictionaryLearning', <class 'sklearn.decomposition.dict_learning.DictionaryLearning'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('DictionaryLearning', <class 'sklearn.decomposition.dict_learning.DictionaryLearning'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('DictionaryLearning', <class 'sklearn.decomposition.dict_learning.DictionaryLearning'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('DictionaryLearning', <class 'sklearn.decomposition.dict_learning.DictionaryLearning'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('DictionaryLearning', <class 'sklearn.decomposition.dict_learning.DictionaryLearning'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('DictionaryLearning', <class 'sklearn.decomposition.dict_learning.DictionaryLearning'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('DictionaryLearning', <class 'sklearn.decomposition.dict_learning.DictionaryLearning'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('DictionaryLearning', <class 'sklearn.decomposition.dict_learning.DictionaryLearning'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('DictionaryLearning', <class 'sklearn.decomposition.dict_learning.DictionaryLearning'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('DictionaryLearning', <class 'sklearn.decomposition.dict_learning.DictionaryLearning'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('DictionaryLearning', <class 'sklearn.decomposition.dict_learning.DictionaryLearning'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('DictionaryLearning', <class 'sklearn.decomposition.dict_learning.DictionaryLearning'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('DictionaryLearning', <class 'sklearn.decomposition.dict_learning.DictionaryLearning'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('ElasticNet', <class 'sklearn.linear_model.coordinate_descent.ElasticNet'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('ElasticNet', <class 'sklearn.linear_model.coordinate_descent.ElasticNet'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('ElasticNet', <class 'sklearn.linear_model.coordinate_descent.ElasticNet'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('ElasticNet', <class 'sklearn.linear_model.coordinate_descent.ElasticNet'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('ElasticNet', <class 'sklearn.linear_model.coordinate_descent.ElasticNet'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('ElasticNet', <class 'sklearn.linear_model.coordinate_descent.ElasticNet'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('ElasticNet', <class 'sklearn.linear_model.coordinate_descent.ElasticNet'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('ElasticNet', <class 'sklearn.linear_model.coordinate_descent.ElasticNet'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('ElasticNet', <class 'sklearn.linear_model.coordinate_descent.ElasticNet'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('ElasticNet', <class 'sklearn.linear_model.coordinate_descent.ElasticNet'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('ElasticNet', <class 'sklearn.linear_model.coordinate_descent.ElasticNet'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('ElasticNet', <class 'sklearn.linear_model.coordinate_descent.ElasticNet'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('ElasticNet', <class 'sklearn.linear_model.coordinate_descent.ElasticNet'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('ElasticNet', <class 'sklearn.linear_model.coordinate_descent.ElasticNet'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('ElasticNet', <class 'sklearn.linear_model.coordinate_descent.ElasticNet'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('ElasticNet', <class 'sklearn.linear_model.coordinate_descent.ElasticNet'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('ElasticNet', <class 'sklearn.linear_model.coordinate_descent.ElasticNet'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('ElasticNet', <class 'sklearn.linear_model.coordinate_descent.ElasticNet'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('ElasticNet', <class 'sklearn.linear_model.coordinate_descent.ElasticNet'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('ElasticNet', <class 'sklearn.linear_model.coordinate_descent.ElasticNet'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('ElasticNet', <class 'sklearn.linear_model.coordinate_descent.ElasticNet'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('ElasticNet', <class 'sklearn.linear_model.coordinate_descent.ElasticNet'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('ElasticNetCV', <class 'sklearn.linear_model.coordinate_descent.ElasticNetCV'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('ElasticNetCV', <class 'sklearn.linear_model.coordinate_descent.ElasticNetCV'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('ElasticNetCV', <class 'sklearn.linear_model.coordinate_descent.ElasticNetCV'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('ElasticNetCV', <class 'sklearn.linear_model.coordinate_descent.ElasticNetCV'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('ElasticNetCV', <class 'sklearn.linear_model.coordinate_descent.ElasticNetCV'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('ElasticNetCV', <class 'sklearn.linear_model.coordinate_descent.ElasticNetCV'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('ElasticNetCV', <class 'sklearn.linear_model.coordinate_descent.ElasticNetCV'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('ElasticNetCV', <class 'sklearn.linear_model.coordinate_descent.ElasticNetCV'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('ElasticNetCV', <class 'sklearn.linear_model.coordinate_descent.ElasticNetCV'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('ElasticNetCV', <class 'sklearn.linear_model.coordinate_descent.ElasticNetCV'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('ElasticNetCV', <class 'sklearn.linear_model.coordinate_descent.ElasticNetCV'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('ElasticNetCV', <class 'sklearn.linear_model.coordinate_descent.ElasticNetCV'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('ElasticNetCV', <class 'sklearn.linear_model.coordinate_descent.ElasticNetCV'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('ElasticNetCV', <class 'sklearn.linear_model.coordinate_descent.ElasticNetCV'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('ElasticNetCV', <class 'sklearn.linear_model.coordinate_descent.ElasticNetCV'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('ElasticNetCV', <class 'sklearn.linear_model.coordinate_descent.ElasticNetCV'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('ElasticNetCV', <class 'sklearn.linear_model.coordinate_descent.ElasticNetCV'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('ElasticNetCV', <class 'sklearn.linear_model.coordinate_descent.ElasticNetCV'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('ElasticNetCV', <class 'sklearn.linear_model.coordinate_descent.ElasticNetCV'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('ElasticNetCV', <class 'sklearn.linear_model.coordinate_descent.ElasticNetCV'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('ElasticNetCV', <class 'sklearn.linear_model.coordinate_descent.ElasticNetCV'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('ElasticNetCV', <class 'sklearn.linear_model.coordinate_descent.ElasticNetCV'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('EmpiricalCovariance', <class 'sklearn.covariance.empirical_covariance_.EmpiricalCovariance'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('EmpiricalCovariance', <class 'sklearn.covariance.empirical_covariance_.EmpiricalCovariance'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('EmpiricalCovariance', <class 'sklearn.covariance.empirical_covariance_.EmpiricalCovariance'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('EmpiricalCovariance', <class 'sklearn.covariance.empirical_covariance_.EmpiricalCovariance'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('EmpiricalCovariance', <class 'sklearn.covariance.empirical_covariance_.EmpiricalCovariance'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('EmpiricalCovariance', <class 'sklearn.covariance.empirical_covariance_.EmpiricalCovariance'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('EmpiricalCovariance', <class 'sklearn.covariance.empirical_covariance_.EmpiricalCovariance'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('EmpiricalCovariance', <class 'sklearn.covariance.empirical_covariance_.EmpiricalCovariance'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('EmpiricalCovariance', <class 'sklearn.covariance.empirical_covariance_.EmpiricalCovariance'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('EmpiricalCovariance', <class 'sklearn.covariance.empirical_covariance_.EmpiricalCovariance'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('EmpiricalCovariance', <class 'sklearn.covariance.empirical_covariance_.EmpiricalCovariance'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('EmpiricalCovariance', <class 'sklearn.covariance.empirical_covariance_.EmpiricalCovariance'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('EmpiricalCovariance', <class 'sklearn.covariance.empirical_covariance_.EmpiricalCovariance'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('EmpiricalCovariance', <class 'sklearn.covariance.empirical_covariance_.EmpiricalCovariance'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('EmpiricalCovariance', <class 'sklearn.covariance.empirical_covariance_.EmpiricalCovariance'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('ExtraTreeClassifier', <class 'sklearn.tree.tree.ExtraTreeClassifier'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('ExtraTreeClassifier', <class 'sklearn.tree.tree.ExtraTreeClassifier'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('ExtraTreeClassifier', <class 'sklearn.tree.tree.ExtraTreeClassifier'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('ExtraTreeClassifier', <class 'sklearn.tree.tree.ExtraTreeClassifier'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('ExtraTreeClassifier', <class 'sklearn.tree.tree.ExtraTreeClassifier'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('ExtraTreeClassifier', <class 'sklearn.tree.tree.ExtraTreeClassifier'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('ExtraTreeClassifier', <class 'sklearn.tree.tree.ExtraTreeClassifier'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('ExtraTreeClassifier', <class 'sklearn.tree.tree.ExtraTreeClassifier'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('ExtraTreeClassifier', <class 'sklearn.tree.tree.ExtraTreeClassifier'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('ExtraTreeClassifier', <class 'sklearn.tree.tree.ExtraTreeClassifier'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('ExtraTreeClassifier', <class 'sklearn.tree.tree.ExtraTreeClassifier'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('ExtraTreeClassifier', <class 'sklearn.tree.tree.ExtraTreeClassifier'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('ExtraTreeClassifier', <class 'sklearn.tree.tree.ExtraTreeClassifier'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('ExtraTreeClassifier', <class 'sklearn.tree.tree.ExtraTreeClassifier'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('ExtraTreeClassifier', <class 'sklearn.tree.tree.ExtraTreeClassifier'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('ExtraTreeClassifier', <class 'sklearn.tree.tree.ExtraTreeClassifier'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('ExtraTreeClassifier', <class 'sklearn.tree.tree.ExtraTreeClassifier'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('ExtraTreeClassifier', <class 'sklearn.tree.tree.ExtraTreeClassifier'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('ExtraTreeClassifier', <class 'sklearn.tree.tree.ExtraTreeClassifier'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('ExtraTreeClassifier', <class 'sklearn.tree.tree.ExtraTreeClassifier'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('ExtraTreeClassifier', <class 'sklearn.tree.tree.ExtraTreeClassifier'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('ExtraTreeClassifier', <class 'sklearn.tree.tree.ExtraTreeClassifier'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('ExtraTreeClassifier', <class 'sklearn.tree.tree.ExtraTreeClassifier'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('ExtraTreeRegressor', <class 'sklearn.tree.tree.ExtraTreeRegressor'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('ExtraTreeRegressor', <class 'sklearn.tree.tree.ExtraTreeRegressor'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('ExtraTreeRegressor', <class 'sklearn.tree.tree.ExtraTreeRegressor'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('ExtraTreeRegressor', <class 'sklearn.tree.tree.ExtraTreeRegressor'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('ExtraTreeRegressor', <class 'sklearn.tree.tree.ExtraTreeRegressor'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('ExtraTreeRegressor', <class 'sklearn.tree.tree.ExtraTreeRegressor'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('ExtraTreeRegressor', <class 'sklearn.tree.tree.ExtraTreeRegressor'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('ExtraTreeRegressor', <class 'sklearn.tree.tree.ExtraTreeRegressor'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('ExtraTreeRegressor', <class 'sklearn.tree.tree.ExtraTreeRegressor'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('ExtraTreeRegressor', <class 'sklearn.tree.tree.ExtraTreeRegressor'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('ExtraTreeRegressor', <class 'sklearn.tree.tree.ExtraTreeRegressor'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('ExtraTreeRegressor', <class 'sklearn.tree.tree.ExtraTreeRegressor'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('ExtraTreeRegressor', <class 'sklearn.tree.tree.ExtraTreeRegressor'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('ExtraTreeRegressor', <class 'sklearn.tree.tree.ExtraTreeRegressor'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('ExtraTreeRegressor', <class 'sklearn.tree.tree.ExtraTreeRegressor'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('ExtraTreeRegressor', <class 'sklearn.tree.tree.ExtraTreeRegressor'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('ExtraTreeRegressor', <class 'sklearn.tree.tree.ExtraTreeRegressor'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('ExtraTreeRegressor', <class 'sklearn.tree.tree.ExtraTreeRegressor'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('ExtraTreeRegressor', <class 'sklearn.tree.tree.ExtraTreeRegressor'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('ExtraTreeRegressor', <class 'sklearn.tree.tree.ExtraTreeRegressor'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('ExtraTreeRegressor', <class 'sklearn.tree.tree.ExtraTreeRegressor'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('ExtraTreeRegressor', <class 'sklearn.tree.tree.ExtraTreeRegressor'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('ExtraTreesClassifier', <class 'sklearn.ensemble.forest.ExtraTreesClassifier'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('ExtraTreesClassifier', <class 'sklearn.ensemble.forest.ExtraTreesClassifier'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('ExtraTreesClassifier', <class 'sklearn.ensemble.forest.ExtraTreesClassifier'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('ExtraTreesClassifier', <class 'sklearn.ensemble.forest.ExtraTreesClassifier'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('ExtraTreesClassifier', <class 'sklearn.ensemble.forest.ExtraTreesClassifier'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('ExtraTreesClassifier', <class 'sklearn.ensemble.forest.ExtraTreesClassifier'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('ExtraTreesClassifier', <class 'sklearn.ensemble.forest.ExtraTreesClassifier'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('ExtraTreesClassifier', <class 'sklearn.ensemble.forest.ExtraTreesClassifier'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('ExtraTreesClassifier', <class 'sklearn.ensemble.forest.ExtraTreesClassifier'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('ExtraTreesClassifier', <class 'sklearn.ensemble.forest.ExtraTreesClassifier'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('ExtraTreesClassifier', <class 'sklearn.ensemble.forest.ExtraTreesClassifier'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('ExtraTreesClassifier', <class 'sklearn.ensemble.forest.ExtraTreesClassifier'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('ExtraTreesClassifier', <class 'sklearn.ensemble.forest.ExtraTreesClassifier'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('ExtraTreesClassifier', <class 'sklearn.ensemble.forest.ExtraTreesClassifier'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('ExtraTreesClassifier', <class 'sklearn.ensemble.forest.ExtraTreesClassifier'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('ExtraTreesClassifier', <class 'sklearn.ensemble.forest.ExtraTreesClassifier'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('ExtraTreesClassifier', <class 'sklearn.ensemble.forest.ExtraTreesClassifier'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('ExtraTreesClassifier', <class 'sklearn.ensemble.forest.ExtraTreesClassifier'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('ExtraTreesClassifier', <class 'sklearn.ensemble.forest.ExtraTreesClassifier'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('ExtraTreesClassifier', <class 'sklearn.ensemble.forest.ExtraTreesClassifier'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('ExtraTreesClassifier', <class 'sklearn.ensemble.forest.ExtraTreesClassifier'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('ExtraTreesClassifier', <class 'sklearn.ensemble.forest.ExtraTreesClassifier'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('ExtraTreesClassifier', <class 'sklearn.ensemble.forest.ExtraTreesClassifier'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('ExtraTreesClassifier', <class 'sklearn.ensemble.forest.ExtraTreesClassifier'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('ExtraTreesRegressor', <class 'sklearn.ensemble.forest.ExtraTreesRegressor'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('ExtraTreesRegressor', <class 'sklearn.ensemble.forest.ExtraTreesRegressor'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('ExtraTreesRegressor', <class 'sklearn.ensemble.forest.ExtraTreesRegressor'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('ExtraTreesRegressor', <class 'sklearn.ensemble.forest.ExtraTreesRegressor'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('ExtraTreesRegressor', <class 'sklearn.ensemble.forest.ExtraTreesRegressor'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('ExtraTreesRegressor', <class 'sklearn.ensemble.forest.ExtraTreesRegressor'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('ExtraTreesRegressor', <class 'sklearn.ensemble.forest.ExtraTreesRegressor'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('ExtraTreesRegressor', <class 'sklearn.ensemble.forest.ExtraTreesRegressor'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('ExtraTreesRegressor', <class 'sklearn.ensemble.forest.ExtraTreesRegressor'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('ExtraTreesRegressor', <class 'sklearn.ensemble.forest.ExtraTreesRegressor'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('ExtraTreesRegressor', <class 'sklearn.ensemble.forest.ExtraTreesRegressor'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('ExtraTreesRegressor', <class 'sklearn.ensemble.forest.ExtraTreesRegressor'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('ExtraTreesRegressor', <class 'sklearn.ensemble.forest.ExtraTreesRegressor'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('ExtraTreesRegressor', <class 'sklearn.ensemble.forest.ExtraTreesRegressor'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('ExtraTreesRegressor', <class 'sklearn.ensemble.forest.ExtraTreesRegressor'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('ExtraTreesRegressor', <class 'sklearn.ensemble.forest.ExtraTreesRegressor'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('ExtraTreesRegressor', <class 'sklearn.ensemble.forest.ExtraTreesRegressor'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('ExtraTreesRegressor', <class 'sklearn.ensemble.forest.ExtraTreesRegressor'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('ExtraTreesRegressor', <class 'sklearn.ensemble.forest.ExtraTreesRegressor'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('ExtraTreesRegressor', <class 'sklearn.ensemble.forest.ExtraTreesRegressor'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('ExtraTreesRegressor', <class 'sklearn.ensemble.forest.ExtraTreesRegressor'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('ExtraTreesRegressor', <class 'sklearn.ensemble.forest.ExtraTreesRegressor'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('FactorAnalysis', <class 'sklearn.decomposition.factor_analysis.FactorAnalysis'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('FactorAnalysis', <class 'sklearn.decomposition.factor_analysis.FactorAnalysis'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('FactorAnalysis', <class 'sklearn.decomposition.factor_analysis.FactorAnalysis'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('FactorAnalysis', <class 'sklearn.decomposition.factor_analysis.FactorAnalysis'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('FactorAnalysis', <class 'sklearn.decomposition.factor_analysis.FactorAnalysis'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('FactorAnalysis', <class 'sklearn.decomposition.factor_analysis.FactorAnalysis'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('FactorAnalysis', <class 'sklearn.decomposition.factor_analysis.FactorAnalysis'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('FactorAnalysis', <class 'sklearn.decomposition.factor_analysis.FactorAnalysis'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('FactorAnalysis', <class 'sklearn.decomposition.factor_analysis.FactorAnalysis'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('FactorAnalysis', <class 'sklearn.decomposition.factor_analysis.FactorAnalysis'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('FactorAnalysis', <class 'sklearn.decomposition.factor_analysis.FactorAnalysis'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('FactorAnalysis', <class 'sklearn.decomposition.factor_analysis.FactorAnalysis'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('FactorAnalysis', <class 'sklearn.decomposition.factor_analysis.FactorAnalysis'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('FactorAnalysis', <class 'sklearn.decomposition.factor_analysis.FactorAnalysis'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('FactorAnalysis', <class 'sklearn.decomposition.factor_analysis.FactorAnalysis'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('FactorAnalysis', <class 'sklearn.decomposition.factor_analysis.FactorAnalysis'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('FactorAnalysis', <class 'sklearn.decomposition.factor_analysis.FactorAnalysis'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('FactorAnalysis', <class 'sklearn.decomposition.factor_analysis.FactorAnalysis'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('FastICA', <class 'sklearn.decomposition.fastica_.FastICA'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('FastICA', <class 'sklearn.decomposition.fastica_.FastICA'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('FastICA', <class 'sklearn.decomposition.fastica_.FastICA'>) ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/decomposition/fastica_.py:116: UserWarning: FastICA did not converge. Consider increasing tolerance or the maximum number of iterations.
warnings.warn('FastICA did not converge. Consider increasing '
ok
sklearn.tests.test_common.test_non_meta_estimators('FastICA', <class 'sklearn.decomposition.fastica_.FastICA'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('FastICA', <class 'sklearn.decomposition.fastica_.FastICA'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('FastICA', <class 'sklearn.decomposition.fastica_.FastICA'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('FastICA', <class 'sklearn.decomposition.fastica_.FastICA'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('FastICA', <class 'sklearn.decomposition.fastica_.FastICA'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('FastICA', <class 'sklearn.decomposition.fastica_.FastICA'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('FastICA', <class 'sklearn.decomposition.fastica_.FastICA'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('FastICA', <class 'sklearn.decomposition.fastica_.FastICA'>) ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/decomposition/fastica_.py:116: UserWarning: FastICA did not converge. Consider increasing tolerance or the maximum number of iterations.
warnings.warn('FastICA did not converge. Consider increasing '
ok
sklearn.tests.test_common.test_non_meta_estimators('FastICA', <class 'sklearn.decomposition.fastica_.FastICA'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('FastICA', <class 'sklearn.decomposition.fastica_.FastICA'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('FastICA', <class 'sklearn.decomposition.fastica_.FastICA'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('FastICA', <class 'sklearn.decomposition.fastica_.FastICA'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('FastICA', <class 'sklearn.decomposition.fastica_.FastICA'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('FastICA', <class 'sklearn.decomposition.fastica_.FastICA'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('FastICA', <class 'sklearn.decomposition.fastica_.FastICA'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('FeatureAgglomeration', <class 'sklearn.cluster.hierarchical.FeatureAgglomeration'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('FeatureAgglomeration', <class 'sklearn.cluster.hierarchical.FeatureAgglomeration'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('FeatureAgglomeration', <class 'sklearn.cluster.hierarchical.FeatureAgglomeration'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('FeatureAgglomeration', <class 'sklearn.cluster.hierarchical.FeatureAgglomeration'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('FeatureAgglomeration', <class 'sklearn.cluster.hierarchical.FeatureAgglomeration'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('FeatureAgglomeration', <class 'sklearn.cluster.hierarchical.FeatureAgglomeration'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('FeatureAgglomeration', <class 'sklearn.cluster.hierarchical.FeatureAgglomeration'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('FeatureAgglomeration', <class 'sklearn.cluster.hierarchical.FeatureAgglomeration'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('FeatureAgglomeration', <class 'sklearn.cluster.hierarchical.FeatureAgglomeration'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('FeatureAgglomeration', <class 'sklearn.cluster.hierarchical.FeatureAgglomeration'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('FeatureAgglomeration', <class 'sklearn.cluster.hierarchical.FeatureAgglomeration'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('FeatureAgglomeration', <class 'sklearn.cluster.hierarchical.FeatureAgglomeration'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('FeatureAgglomeration', <class 'sklearn.cluster.hierarchical.FeatureAgglomeration'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('FeatureAgglomeration', <class 'sklearn.cluster.hierarchical.FeatureAgglomeration'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('FeatureAgglomeration', <class 'sklearn.cluster.hierarchical.FeatureAgglomeration'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('FeatureAgglomeration', <class 'sklearn.cluster.hierarchical.FeatureAgglomeration'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('FeatureAgglomeration', <class 'sklearn.cluster.hierarchical.FeatureAgglomeration'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('FeatureAgglomeration', <class 'sklearn.cluster.hierarchical.FeatureAgglomeration'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('FeatureAgglomeration', <class 'sklearn.cluster.hierarchical.FeatureAgglomeration'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('FunctionTransformer', <class 'sklearn.preprocessing._function_transformer.FunctionTransformer'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('FunctionTransformer', <class 'sklearn.preprocessing._function_transformer.FunctionTransformer'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('FunctionTransformer', <class 'sklearn.preprocessing._function_transformer.FunctionTransformer'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('FunctionTransformer', <class 'sklearn.preprocessing._function_transformer.FunctionTransformer'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('FunctionTransformer', <class 'sklearn.preprocessing._function_transformer.FunctionTransformer'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('FunctionTransformer', <class 'sklearn.preprocessing._function_transformer.FunctionTransformer'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('FunctionTransformer', <class 'sklearn.preprocessing._function_transformer.FunctionTransformer'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('FunctionTransformer', <class 'sklearn.preprocessing._function_transformer.FunctionTransformer'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('FunctionTransformer', <class 'sklearn.preprocessing._function_transformer.FunctionTransformer'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('FunctionTransformer', <class 'sklearn.preprocessing._function_transformer.FunctionTransformer'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('FunctionTransformer', <class 'sklearn.preprocessing._function_transformer.FunctionTransformer'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('FunctionTransformer', <class 'sklearn.preprocessing._function_transformer.FunctionTransformer'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('FunctionTransformer', <class 'sklearn.preprocessing._function_transformer.FunctionTransformer'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('FunctionTransformer', <class 'sklearn.preprocessing._function_transformer.FunctionTransformer'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('FunctionTransformer', <class 'sklearn.preprocessing._function_transformer.FunctionTransformer'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('FunctionTransformer', <class 'sklearn.preprocessing._function_transformer.FunctionTransformer'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('GMM', <class 'sklearn.mixture.gmm.GMM'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('GMM', <class 'sklearn.mixture.gmm.GMM'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('GMM', <class 'sklearn.mixture.gmm.GMM'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('GMM', <class 'sklearn.mixture.gmm.GMM'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('GMM', <class 'sklearn.mixture.gmm.GMM'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('GMM', <class 'sklearn.mixture.gmm.GMM'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('GMM', <class 'sklearn.mixture.gmm.GMM'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('GMM', <class 'sklearn.mixture.gmm.GMM'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('GMM', <class 'sklearn.mixture.gmm.GMM'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('GMM', <class 'sklearn.mixture.gmm.GMM'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('GMM', <class 'sklearn.mixture.gmm.GMM'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('GMM', <class 'sklearn.mixture.gmm.GMM'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('GMM', <class 'sklearn.mixture.gmm.GMM'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('GMM', <class 'sklearn.mixture.gmm.GMM'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('GMM', <class 'sklearn.mixture.gmm.GMM'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('GaussianNB', <class 'sklearn.naive_bayes.GaussianNB'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('GaussianNB', <class 'sklearn.naive_bayes.GaussianNB'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('GaussianNB', <class 'sklearn.naive_bayes.GaussianNB'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('GaussianNB', <class 'sklearn.naive_bayes.GaussianNB'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('GaussianNB', <class 'sklearn.naive_bayes.GaussianNB'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('GaussianNB', <class 'sklearn.naive_bayes.GaussianNB'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('GaussianNB', <class 'sklearn.naive_bayes.GaussianNB'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('GaussianNB', <class 'sklearn.naive_bayes.GaussianNB'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('GaussianNB', <class 'sklearn.naive_bayes.GaussianNB'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('GaussianNB', <class 'sklearn.naive_bayes.GaussianNB'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('GaussianNB', <class 'sklearn.naive_bayes.GaussianNB'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('GaussianNB', <class 'sklearn.naive_bayes.GaussianNB'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('GaussianNB', <class 'sklearn.naive_bayes.GaussianNB'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('GaussianNB', <class 'sklearn.naive_bayes.GaussianNB'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('GaussianNB', <class 'sklearn.naive_bayes.GaussianNB'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('GaussianNB', <class 'sklearn.naive_bayes.GaussianNB'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('GaussianNB', <class 'sklearn.naive_bayes.GaussianNB'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('GaussianNB', <class 'sklearn.naive_bayes.GaussianNB'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('GaussianNB', <class 'sklearn.naive_bayes.GaussianNB'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('GaussianNB', <class 'sklearn.naive_bayes.GaussianNB'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('GaussianNB', <class 'sklearn.naive_bayes.GaussianNB'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('GaussianNB', <class 'sklearn.naive_bayes.GaussianNB'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('GaussianNB', <class 'sklearn.naive_bayes.GaussianNB'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('GaussianProcess', <class 'sklearn.gaussian_process.gaussian_process.GaussianProcess'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('GaussianProcess', <class 'sklearn.gaussian_process.gaussian_process.GaussianProcess'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('GaussianProcess', <class 'sklearn.gaussian_process.gaussian_process.GaussianProcess'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('GaussianProcess', <class 'sklearn.gaussian_process.gaussian_process.GaussianProcess'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('GaussianProcess', <class 'sklearn.gaussian_process.gaussian_process.GaussianProcess'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('GaussianProcess', <class 'sklearn.gaussian_process.gaussian_process.GaussianProcess'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('GaussianProcess', <class 'sklearn.gaussian_process.gaussian_process.GaussianProcess'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('GaussianProcess', <class 'sklearn.gaussian_process.gaussian_process.GaussianProcess'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('GaussianProcess', <class 'sklearn.gaussian_process.gaussian_process.GaussianProcess'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('GaussianProcess', <class 'sklearn.gaussian_process.gaussian_process.GaussianProcess'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('GaussianProcess', <class 'sklearn.gaussian_process.gaussian_process.GaussianProcess'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('GaussianProcess', <class 'sklearn.gaussian_process.gaussian_process.GaussianProcess'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('GaussianProcess', <class 'sklearn.gaussian_process.gaussian_process.GaussianProcess'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('GaussianProcess', <class 'sklearn.gaussian_process.gaussian_process.GaussianProcess'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('GaussianProcess', <class 'sklearn.gaussian_process.gaussian_process.GaussianProcess'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('GaussianProcess', <class 'sklearn.gaussian_process.gaussian_process.GaussianProcess'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('GaussianProcess', <class 'sklearn.gaussian_process.gaussian_process.GaussianProcess'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('GaussianProcess', <class 'sklearn.gaussian_process.gaussian_process.GaussianProcess'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('GaussianProcess', <class 'sklearn.gaussian_process.gaussian_process.GaussianProcess'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('GaussianProcess', <class 'sklearn.gaussian_process.gaussian_process.GaussianProcess'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('GaussianProcess', <class 'sklearn.gaussian_process.gaussian_process.GaussianProcess'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('GaussianRandomProjection', <class 'sklearn.random_projection.GaussianRandomProjection'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('GaussianRandomProjection', <class 'sklearn.random_projection.GaussianRandomProjection'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('GaussianRandomProjection', <class 'sklearn.random_projection.GaussianRandomProjection'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('GaussianRandomProjection', <class 'sklearn.random_projection.GaussianRandomProjection'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('GaussianRandomProjection', <class 'sklearn.random_projection.GaussianRandomProjection'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('GaussianRandomProjection', <class 'sklearn.random_projection.GaussianRandomProjection'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('GaussianRandomProjection', <class 'sklearn.random_projection.GaussianRandomProjection'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('GaussianRandomProjection', <class 'sklearn.random_projection.GaussianRandomProjection'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('GaussianRandomProjection', <class 'sklearn.random_projection.GaussianRandomProjection'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('GaussianRandomProjection', <class 'sklearn.random_projection.GaussianRandomProjection'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('GaussianRandomProjection', <class 'sklearn.random_projection.GaussianRandomProjection'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('GaussianRandomProjection', <class 'sklearn.random_projection.GaussianRandomProjection'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('GaussianRandomProjection', <class 'sklearn.random_projection.GaussianRandomProjection'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('GaussianRandomProjection', <class 'sklearn.random_projection.GaussianRandomProjection'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('GaussianRandomProjection', <class 'sklearn.random_projection.GaussianRandomProjection'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('GaussianRandomProjection', <class 'sklearn.random_projection.GaussianRandomProjection'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('GaussianRandomProjection', <class 'sklearn.random_projection.GaussianRandomProjection'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('GaussianRandomProjection', <class 'sklearn.random_projection.GaussianRandomProjection'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('GenericUnivariateSelect', <class 'sklearn.feature_selection.univariate_selection.GenericUnivariateSelect'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('GenericUnivariateSelect', <class 'sklearn.feature_selection.univariate_selection.GenericUnivariateSelect'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('GenericUnivariateSelect', <class 'sklearn.feature_selection.univariate_selection.GenericUnivariateSelect'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('GenericUnivariateSelect', <class 'sklearn.feature_selection.univariate_selection.GenericUnivariateSelect'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('GenericUnivariateSelect', <class 'sklearn.feature_selection.univariate_selection.GenericUnivariateSelect'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('GenericUnivariateSelect', <class 'sklearn.feature_selection.univariate_selection.GenericUnivariateSelect'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('GenericUnivariateSelect', <class 'sklearn.feature_selection.univariate_selection.GenericUnivariateSelect'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('GenericUnivariateSelect', <class 'sklearn.feature_selection.univariate_selection.GenericUnivariateSelect'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('GenericUnivariateSelect', <class 'sklearn.feature_selection.univariate_selection.GenericUnivariateSelect'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('GenericUnivariateSelect', <class 'sklearn.feature_selection.univariate_selection.GenericUnivariateSelect'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('GenericUnivariateSelect', <class 'sklearn.feature_selection.univariate_selection.GenericUnivariateSelect'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('GenericUnivariateSelect', <class 'sklearn.feature_selection.univariate_selection.GenericUnivariateSelect'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('GenericUnivariateSelect', <class 'sklearn.feature_selection.univariate_selection.GenericUnivariateSelect'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('GenericUnivariateSelect', <class 'sklearn.feature_selection.univariate_selection.GenericUnivariateSelect'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('GenericUnivariateSelect', <class 'sklearn.feature_selection.univariate_selection.GenericUnivariateSelect'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('GenericUnivariateSelect', <class 'sklearn.feature_selection.univariate_selection.GenericUnivariateSelect'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('GenericUnivariateSelect', <class 'sklearn.feature_selection.univariate_selection.GenericUnivariateSelect'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('GenericUnivariateSelect', <class 'sklearn.feature_selection.univariate_selection.GenericUnivariateSelect'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('GradientBoostingClassifier', <class 'sklearn.ensemble.gradient_boosting.GradientBoostingClassifier'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('GradientBoostingClassifier', <class 'sklearn.ensemble.gradient_boosting.GradientBoostingClassifier'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('GradientBoostingClassifier', <class 'sklearn.ensemble.gradient_boosting.GradientBoostingClassifier'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('GradientBoostingClassifier', <class 'sklearn.ensemble.gradient_boosting.GradientBoostingClassifier'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('GradientBoostingClassifier', <class 'sklearn.ensemble.gradient_boosting.GradientBoostingClassifier'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('GradientBoostingClassifier', <class 'sklearn.ensemble.gradient_boosting.GradientBoostingClassifier'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('GradientBoostingClassifier', <class 'sklearn.ensemble.gradient_boosting.GradientBoostingClassifier'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('GradientBoostingClassifier', <class 'sklearn.ensemble.gradient_boosting.GradientBoostingClassifier'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('GradientBoostingClassifier', <class 'sklearn.ensemble.gradient_boosting.GradientBoostingClassifier'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('GradientBoostingClassifier', <class 'sklearn.ensemble.gradient_boosting.GradientBoostingClassifier'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('GradientBoostingClassifier', <class 'sklearn.ensemble.gradient_boosting.GradientBoostingClassifier'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('GradientBoostingClassifier', <class 'sklearn.ensemble.gradient_boosting.GradientBoostingClassifier'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('GradientBoostingClassifier', <class 'sklearn.ensemble.gradient_boosting.GradientBoostingClassifier'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('GradientBoostingClassifier', <class 'sklearn.ensemble.gradient_boosting.GradientBoostingClassifier'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('GradientBoostingClassifier', <class 'sklearn.ensemble.gradient_boosting.GradientBoostingClassifier'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('GradientBoostingClassifier', <class 'sklearn.ensemble.gradient_boosting.GradientBoostingClassifier'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('GradientBoostingClassifier', <class 'sklearn.ensemble.gradient_boosting.GradientBoostingClassifier'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('GradientBoostingClassifier', <class 'sklearn.ensemble.gradient_boosting.GradientBoostingClassifier'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('GradientBoostingClassifier', <class 'sklearn.ensemble.gradient_boosting.GradientBoostingClassifier'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('GradientBoostingClassifier', <class 'sklearn.ensemble.gradient_boosting.GradientBoostingClassifier'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('GradientBoostingClassifier', <class 'sklearn.ensemble.gradient_boosting.GradientBoostingClassifier'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('GradientBoostingClassifier', <class 'sklearn.ensemble.gradient_boosting.GradientBoostingClassifier'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('GradientBoostingClassifier', <class 'sklearn.ensemble.gradient_boosting.GradientBoostingClassifier'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('GradientBoostingRegressor', <class 'sklearn.ensemble.gradient_boosting.GradientBoostingRegressor'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('GradientBoostingRegressor', <class 'sklearn.ensemble.gradient_boosting.GradientBoostingRegressor'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('GradientBoostingRegressor', <class 'sklearn.ensemble.gradient_boosting.GradientBoostingRegressor'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('GradientBoostingRegressor', <class 'sklearn.ensemble.gradient_boosting.GradientBoostingRegressor'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('GradientBoostingRegressor', <class 'sklearn.ensemble.gradient_boosting.GradientBoostingRegressor'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('GradientBoostingRegressor', <class 'sklearn.ensemble.gradient_boosting.GradientBoostingRegressor'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('GradientBoostingRegressor', <class 'sklearn.ensemble.gradient_boosting.GradientBoostingRegressor'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('GradientBoostingRegressor', <class 'sklearn.ensemble.gradient_boosting.GradientBoostingRegressor'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('GradientBoostingRegressor', <class 'sklearn.ensemble.gradient_boosting.GradientBoostingRegressor'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('GradientBoostingRegressor', <class 'sklearn.ensemble.gradient_boosting.GradientBoostingRegressor'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('GradientBoostingRegressor', <class 'sklearn.ensemble.gradient_boosting.GradientBoostingRegressor'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('GradientBoostingRegressor', <class 'sklearn.ensemble.gradient_boosting.GradientBoostingRegressor'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('GradientBoostingRegressor', <class 'sklearn.ensemble.gradient_boosting.GradientBoostingRegressor'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('GradientBoostingRegressor', <class 'sklearn.ensemble.gradient_boosting.GradientBoostingRegressor'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('GradientBoostingRegressor', <class 'sklearn.ensemble.gradient_boosting.GradientBoostingRegressor'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('GradientBoostingRegressor', <class 'sklearn.ensemble.gradient_boosting.GradientBoostingRegressor'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('GradientBoostingRegressor', <class 'sklearn.ensemble.gradient_boosting.GradientBoostingRegressor'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('GradientBoostingRegressor', <class 'sklearn.ensemble.gradient_boosting.GradientBoostingRegressor'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('GradientBoostingRegressor', <class 'sklearn.ensemble.gradient_boosting.GradientBoostingRegressor'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('GradientBoostingRegressor', <class 'sklearn.ensemble.gradient_boosting.GradientBoostingRegressor'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('GradientBoostingRegressor', <class 'sklearn.ensemble.gradient_boosting.GradientBoostingRegressor'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('GradientBoostingRegressor', <class 'sklearn.ensemble.gradient_boosting.GradientBoostingRegressor'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('GraphLasso', <class 'sklearn.covariance.graph_lasso_.GraphLasso'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('GraphLasso', <class 'sklearn.covariance.graph_lasso_.GraphLasso'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('GraphLasso', <class 'sklearn.covariance.graph_lasso_.GraphLasso'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('GraphLasso', <class 'sklearn.covariance.graph_lasso_.GraphLasso'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('GraphLasso', <class 'sklearn.covariance.graph_lasso_.GraphLasso'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('GraphLasso', <class 'sklearn.covariance.graph_lasso_.GraphLasso'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('GraphLasso', <class 'sklearn.covariance.graph_lasso_.GraphLasso'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('GraphLasso', <class 'sklearn.covariance.graph_lasso_.GraphLasso'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('GraphLasso', <class 'sklearn.covariance.graph_lasso_.GraphLasso'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('GraphLasso', <class 'sklearn.covariance.graph_lasso_.GraphLasso'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('GraphLasso', <class 'sklearn.covariance.graph_lasso_.GraphLasso'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('GraphLasso', <class 'sklearn.covariance.graph_lasso_.GraphLasso'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('GraphLasso', <class 'sklearn.covariance.graph_lasso_.GraphLasso'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('GraphLasso', <class 'sklearn.covariance.graph_lasso_.GraphLasso'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('GraphLasso', <class 'sklearn.covariance.graph_lasso_.GraphLasso'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('GraphLassoCV', <class 'sklearn.covariance.graph_lasso_.GraphLassoCV'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('GraphLassoCV', <class 'sklearn.covariance.graph_lasso_.GraphLassoCV'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('GraphLassoCV', <class 'sklearn.covariance.graph_lasso_.GraphLassoCV'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('GraphLassoCV', <class 'sklearn.covariance.graph_lasso_.GraphLassoCV'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('GraphLassoCV', <class 'sklearn.covariance.graph_lasso_.GraphLassoCV'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('GraphLassoCV', <class 'sklearn.covariance.graph_lasso_.GraphLassoCV'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('GraphLassoCV', <class 'sklearn.covariance.graph_lasso_.GraphLassoCV'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('GraphLassoCV', <class 'sklearn.covariance.graph_lasso_.GraphLassoCV'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('GraphLassoCV', <class 'sklearn.covariance.graph_lasso_.GraphLassoCV'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('GraphLassoCV', <class 'sklearn.covariance.graph_lasso_.GraphLassoCV'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('GraphLassoCV', <class 'sklearn.covariance.graph_lasso_.GraphLassoCV'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('GraphLassoCV', <class 'sklearn.covariance.graph_lasso_.GraphLassoCV'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('GraphLassoCV', <class 'sklearn.covariance.graph_lasso_.GraphLassoCV'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('GraphLassoCV', <class 'sklearn.covariance.graph_lasso_.GraphLassoCV'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('GraphLassoCV', <class 'sklearn.covariance.graph_lasso_.GraphLassoCV'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('Imputer', <class 'sklearn.preprocessing.imputation.Imputer'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('Imputer', <class 'sklearn.preprocessing.imputation.Imputer'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('Imputer', <class 'sklearn.preprocessing.imputation.Imputer'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('Imputer', <class 'sklearn.preprocessing.imputation.Imputer'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('Imputer', <class 'sklearn.preprocessing.imputation.Imputer'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('Imputer', <class 'sklearn.preprocessing.imputation.Imputer'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('Imputer', <class 'sklearn.preprocessing.imputation.Imputer'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('Imputer', <class 'sklearn.preprocessing.imputation.Imputer'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('Imputer', <class 'sklearn.preprocessing.imputation.Imputer'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('Imputer', <class 'sklearn.preprocessing.imputation.Imputer'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('Imputer', <class 'sklearn.preprocessing.imputation.Imputer'>) ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/preprocessing/imputation.py:344: VisibleDeprecationWarning: boolean index did not match indexed array along dimension 0; dimension is 30 but corresponding boolean dimension is 3
missing = np.arange(X.shape[not self.axis])[invalid_mask]
ok
sklearn.tests.test_common.test_non_meta_estimators('Imputer', <class 'sklearn.preprocessing.imputation.Imputer'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('Imputer', <class 'sklearn.preprocessing.imputation.Imputer'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('Imputer', <class 'sklearn.preprocessing.imputation.Imputer'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('Imputer', <class 'sklearn.preprocessing.imputation.Imputer'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('Imputer', <class 'sklearn.preprocessing.imputation.Imputer'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('Imputer', <class 'sklearn.preprocessing.imputation.Imputer'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('IncrementalPCA', <class 'sklearn.decomposition.incremental_pca.IncrementalPCA'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('IncrementalPCA', <class 'sklearn.decomposition.incremental_pca.IncrementalPCA'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('IncrementalPCA', <class 'sklearn.decomposition.incremental_pca.IncrementalPCA'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('IncrementalPCA', <class 'sklearn.decomposition.incremental_pca.IncrementalPCA'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('IncrementalPCA', <class 'sklearn.decomposition.incremental_pca.IncrementalPCA'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('IncrementalPCA', <class 'sklearn.decomposition.incremental_pca.IncrementalPCA'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('IncrementalPCA', <class 'sklearn.decomposition.incremental_pca.IncrementalPCA'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('IncrementalPCA', <class 'sklearn.decomposition.incremental_pca.IncrementalPCA'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('IncrementalPCA', <class 'sklearn.decomposition.incremental_pca.IncrementalPCA'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('IncrementalPCA', <class 'sklearn.decomposition.incremental_pca.IncrementalPCA'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('IncrementalPCA', <class 'sklearn.decomposition.incremental_pca.IncrementalPCA'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('IncrementalPCA', <class 'sklearn.decomposition.incremental_pca.IncrementalPCA'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('IncrementalPCA', <class 'sklearn.decomposition.incremental_pca.IncrementalPCA'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('IncrementalPCA', <class 'sklearn.decomposition.incremental_pca.IncrementalPCA'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('IncrementalPCA', <class 'sklearn.decomposition.incremental_pca.IncrementalPCA'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('IncrementalPCA', <class 'sklearn.decomposition.incremental_pca.IncrementalPCA'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('IncrementalPCA', <class 'sklearn.decomposition.incremental_pca.IncrementalPCA'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('IncrementalPCA', <class 'sklearn.decomposition.incremental_pca.IncrementalPCA'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('Isomap', <class 'sklearn.manifold.isomap.Isomap'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('Isomap', <class 'sklearn.manifold.isomap.Isomap'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('Isomap', <class 'sklearn.manifold.isomap.Isomap'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('Isomap', <class 'sklearn.manifold.isomap.Isomap'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('Isomap', <class 'sklearn.manifold.isomap.Isomap'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('Isomap', <class 'sklearn.manifold.isomap.Isomap'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('Isomap', <class 'sklearn.manifold.isomap.Isomap'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('Isomap', <class 'sklearn.manifold.isomap.Isomap'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('Isomap', <class 'sklearn.manifold.isomap.Isomap'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('Isomap', <class 'sklearn.manifold.isomap.Isomap'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('Isomap', <class 'sklearn.manifold.isomap.Isomap'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('Isomap', <class 'sklearn.manifold.isomap.Isomap'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('Isomap', <class 'sklearn.manifold.isomap.Isomap'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('Isomap', <class 'sklearn.manifold.isomap.Isomap'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('Isomap', <class 'sklearn.manifold.isomap.Isomap'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('Isomap', <class 'sklearn.manifold.isomap.Isomap'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('Isomap', <class 'sklearn.manifold.isomap.Isomap'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('Isomap', <class 'sklearn.manifold.isomap.Isomap'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('KMeans', <class 'sklearn.cluster.k_means_.KMeans'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('KMeans', <class 'sklearn.cluster.k_means_.KMeans'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('KMeans', <class 'sklearn.cluster.k_means_.KMeans'>) ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/validation.py:420: DataConversionWarning: Data with input dtype object was converted to float64.
warnings.warn(msg, DataConversionWarning)
ok
sklearn.tests.test_common.test_non_meta_estimators('KMeans', <class 'sklearn.cluster.k_means_.KMeans'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('KMeans', <class 'sklearn.cluster.k_means_.KMeans'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('KMeans', <class 'sklearn.cluster.k_means_.KMeans'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('KMeans', <class 'sklearn.cluster.k_means_.KMeans'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('KMeans', <class 'sklearn.cluster.k_means_.KMeans'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('KMeans', <class 'sklearn.cluster.k_means_.KMeans'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('KMeans', <class 'sklearn.cluster.k_means_.KMeans'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('KMeans', <class 'sklearn.cluster.k_means_.KMeans'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('KMeans', <class 'sklearn.cluster.k_means_.KMeans'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('KMeans', <class 'sklearn.cluster.k_means_.KMeans'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('KMeans', <class 'sklearn.cluster.k_means_.KMeans'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('KMeans', <class 'sklearn.cluster.k_means_.KMeans'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('KMeans', <class 'sklearn.cluster.k_means_.KMeans'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('KMeans', <class 'sklearn.cluster.k_means_.KMeans'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('KMeans', <class 'sklearn.cluster.k_means_.KMeans'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('KMeans', <class 'sklearn.cluster.k_means_.KMeans'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('KMeans', <class 'sklearn.cluster.k_means_.KMeans'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('KMeans', <class 'sklearn.cluster.k_means_.KMeans'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('KNeighborsClassifier', <class 'sklearn.neighbors.classification.KNeighborsClassifier'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('KNeighborsClassifier', <class 'sklearn.neighbors.classification.KNeighborsClassifier'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('KNeighborsClassifier', <class 'sklearn.neighbors.classification.KNeighborsClassifier'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('KNeighborsClassifier', <class 'sklearn.neighbors.classification.KNeighborsClassifier'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('KNeighborsClassifier', <class 'sklearn.neighbors.classification.KNeighborsClassifier'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('KNeighborsClassifier', <class 'sklearn.neighbors.classification.KNeighborsClassifier'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('KNeighborsClassifier', <class 'sklearn.neighbors.classification.KNeighborsClassifier'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('KNeighborsClassifier', <class 'sklearn.neighbors.classification.KNeighborsClassifier'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('KNeighborsClassifier', <class 'sklearn.neighbors.classification.KNeighborsClassifier'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('KNeighborsClassifier', <class 'sklearn.neighbors.classification.KNeighborsClassifier'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('KNeighborsClassifier', <class 'sklearn.neighbors.classification.KNeighborsClassifier'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('KNeighborsClassifier', <class 'sklearn.neighbors.classification.KNeighborsClassifier'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('KNeighborsClassifier', <class 'sklearn.neighbors.classification.KNeighborsClassifier'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('KNeighborsClassifier', <class 'sklearn.neighbors.classification.KNeighborsClassifier'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('KNeighborsClassifier', <class 'sklearn.neighbors.classification.KNeighborsClassifier'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('KNeighborsClassifier', <class 'sklearn.neighbors.classification.KNeighborsClassifier'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('KNeighborsClassifier', <class 'sklearn.neighbors.classification.KNeighborsClassifier'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('KNeighborsClassifier', <class 'sklearn.neighbors.classification.KNeighborsClassifier'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('KNeighborsClassifier', <class 'sklearn.neighbors.classification.KNeighborsClassifier'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('KNeighborsClassifier', <class 'sklearn.neighbors.classification.KNeighborsClassifier'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('KNeighborsClassifier', <class 'sklearn.neighbors.classification.KNeighborsClassifier'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('KNeighborsClassifier', <class 'sklearn.neighbors.classification.KNeighborsClassifier'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('KNeighborsClassifier', <class 'sklearn.neighbors.classification.KNeighborsClassifier'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('KNeighborsRegressor', <class 'sklearn.neighbors.regression.KNeighborsRegressor'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('KNeighborsRegressor', <class 'sklearn.neighbors.regression.KNeighborsRegressor'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('KNeighborsRegressor', <class 'sklearn.neighbors.regression.KNeighborsRegressor'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('KNeighborsRegressor', <class 'sklearn.neighbors.regression.KNeighborsRegressor'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('KNeighborsRegressor', <class 'sklearn.neighbors.regression.KNeighborsRegressor'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('KNeighborsRegressor', <class 'sklearn.neighbors.regression.KNeighborsRegressor'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('KNeighborsRegressor', <class 'sklearn.neighbors.regression.KNeighborsRegressor'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('KNeighborsRegressor', <class 'sklearn.neighbors.regression.KNeighborsRegressor'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('KNeighborsRegressor', <class 'sklearn.neighbors.regression.KNeighborsRegressor'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('KNeighborsRegressor', <class 'sklearn.neighbors.regression.KNeighborsRegressor'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('KNeighborsRegressor', <class 'sklearn.neighbors.regression.KNeighborsRegressor'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('KNeighborsRegressor', <class 'sklearn.neighbors.regression.KNeighborsRegressor'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('KNeighborsRegressor', <class 'sklearn.neighbors.regression.KNeighborsRegressor'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('KNeighborsRegressor', <class 'sklearn.neighbors.regression.KNeighborsRegressor'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('KNeighborsRegressor', <class 'sklearn.neighbors.regression.KNeighborsRegressor'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('KNeighborsRegressor', <class 'sklearn.neighbors.regression.KNeighborsRegressor'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('KNeighborsRegressor', <class 'sklearn.neighbors.regression.KNeighborsRegressor'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('KNeighborsRegressor', <class 'sklearn.neighbors.regression.KNeighborsRegressor'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('KNeighborsRegressor', <class 'sklearn.neighbors.regression.KNeighborsRegressor'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('KNeighborsRegressor', <class 'sklearn.neighbors.regression.KNeighborsRegressor'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('KNeighborsRegressor', <class 'sklearn.neighbors.regression.KNeighborsRegressor'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('KNeighborsRegressor', <class 'sklearn.neighbors.regression.KNeighborsRegressor'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('KernelCenterer', <class 'sklearn.preprocessing.data.KernelCenterer'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('KernelCenterer', <class 'sklearn.preprocessing.data.KernelCenterer'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('KernelCenterer', <class 'sklearn.preprocessing.data.KernelCenterer'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('KernelCenterer', <class 'sklearn.preprocessing.data.KernelCenterer'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('KernelCenterer', <class 'sklearn.preprocessing.data.KernelCenterer'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('KernelCenterer', <class 'sklearn.preprocessing.data.KernelCenterer'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('KernelCenterer', <class 'sklearn.preprocessing.data.KernelCenterer'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('KernelCenterer', <class 'sklearn.preprocessing.data.KernelCenterer'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('KernelCenterer', <class 'sklearn.preprocessing.data.KernelCenterer'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('KernelCenterer', <class 'sklearn.preprocessing.data.KernelCenterer'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('KernelCenterer', <class 'sklearn.preprocessing.data.KernelCenterer'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('KernelCenterer', <class 'sklearn.preprocessing.data.KernelCenterer'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('KernelCenterer', <class 'sklearn.preprocessing.data.KernelCenterer'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('KernelCenterer', <class 'sklearn.preprocessing.data.KernelCenterer'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('KernelCenterer', <class 'sklearn.preprocessing.data.KernelCenterer'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('KernelCenterer', <class 'sklearn.preprocessing.data.KernelCenterer'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('KernelCenterer', <class 'sklearn.preprocessing.data.KernelCenterer'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('KernelCenterer', <class 'sklearn.preprocessing.data.KernelCenterer'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('KernelDensity', <class 'sklearn.neighbors.kde.KernelDensity'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('KernelDensity', <class 'sklearn.neighbors.kde.KernelDensity'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('KernelDensity', <class 'sklearn.neighbors.kde.KernelDensity'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('KernelDensity', <class 'sklearn.neighbors.kde.KernelDensity'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('KernelDensity', <class 'sklearn.neighbors.kde.KernelDensity'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('KernelDensity', <class 'sklearn.neighbors.kde.KernelDensity'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('KernelDensity', <class 'sklearn.neighbors.kde.KernelDensity'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('KernelDensity', <class 'sklearn.neighbors.kde.KernelDensity'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('KernelDensity', <class 'sklearn.neighbors.kde.KernelDensity'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('KernelDensity', <class 'sklearn.neighbors.kde.KernelDensity'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('KernelDensity', <class 'sklearn.neighbors.kde.KernelDensity'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('KernelDensity', <class 'sklearn.neighbors.kde.KernelDensity'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('KernelDensity', <class 'sklearn.neighbors.kde.KernelDensity'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('KernelDensity', <class 'sklearn.neighbors.kde.KernelDensity'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('KernelDensity', <class 'sklearn.neighbors.kde.KernelDensity'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('KernelPCA', <class 'sklearn.decomposition.kernel_pca.KernelPCA'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('KernelPCA', <class 'sklearn.decomposition.kernel_pca.KernelPCA'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('KernelPCA', <class 'sklearn.decomposition.kernel_pca.KernelPCA'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('KernelPCA', <class 'sklearn.decomposition.kernel_pca.KernelPCA'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('KernelPCA', <class 'sklearn.decomposition.kernel_pca.KernelPCA'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('KernelPCA', <class 'sklearn.decomposition.kernel_pca.KernelPCA'>) ... SKIP: KernelPCA is non deterministic on 32bit Python
sklearn.tests.test_common.test_non_meta_estimators('KernelPCA', <class 'sklearn.decomposition.kernel_pca.KernelPCA'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('KernelPCA', <class 'sklearn.decomposition.kernel_pca.KernelPCA'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('KernelPCA', <class 'sklearn.decomposition.kernel_pca.KernelPCA'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('KernelPCA', <class 'sklearn.decomposition.kernel_pca.KernelPCA'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('KernelPCA', <class 'sklearn.decomposition.kernel_pca.KernelPCA'>) ... SKIP: KernelPCA is non deterministic on 32bit Python
sklearn.tests.test_common.test_non_meta_estimators('KernelPCA', <class 'sklearn.decomposition.kernel_pca.KernelPCA'>) ... SKIP: KernelPCA is non deterministic on 32bit Python
sklearn.tests.test_common.test_non_meta_estimators('KernelPCA', <class 'sklearn.decomposition.kernel_pca.KernelPCA'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('KernelPCA', <class 'sklearn.decomposition.kernel_pca.KernelPCA'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('KernelPCA', <class 'sklearn.decomposition.kernel_pca.KernelPCA'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('KernelPCA', <class 'sklearn.decomposition.kernel_pca.KernelPCA'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('KernelPCA', <class 'sklearn.decomposition.kernel_pca.KernelPCA'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('KernelPCA', <class 'sklearn.decomposition.kernel_pca.KernelPCA'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('KernelRidge', <class 'sklearn.kernel_ridge.KernelRidge'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('KernelRidge', <class 'sklearn.kernel_ridge.KernelRidge'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('KernelRidge', <class 'sklearn.kernel_ridge.KernelRidge'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('KernelRidge', <class 'sklearn.kernel_ridge.KernelRidge'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('KernelRidge', <class 'sklearn.kernel_ridge.KernelRidge'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('KernelRidge', <class 'sklearn.kernel_ridge.KernelRidge'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('KernelRidge', <class 'sklearn.kernel_ridge.KernelRidge'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('KernelRidge', <class 'sklearn.kernel_ridge.KernelRidge'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('KernelRidge', <class 'sklearn.kernel_ridge.KernelRidge'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('KernelRidge', <class 'sklearn.kernel_ridge.KernelRidge'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('KernelRidge', <class 'sklearn.kernel_ridge.KernelRidge'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('KernelRidge', <class 'sklearn.kernel_ridge.KernelRidge'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('KernelRidge', <class 'sklearn.kernel_ridge.KernelRidge'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('KernelRidge', <class 'sklearn.kernel_ridge.KernelRidge'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('KernelRidge', <class 'sklearn.kernel_ridge.KernelRidge'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('KernelRidge', <class 'sklearn.kernel_ridge.KernelRidge'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('KernelRidge', <class 'sklearn.kernel_ridge.KernelRidge'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('KernelRidge', <class 'sklearn.kernel_ridge.KernelRidge'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('KernelRidge', <class 'sklearn.kernel_ridge.KernelRidge'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('KernelRidge', <class 'sklearn.kernel_ridge.KernelRidge'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('KernelRidge', <class 'sklearn.kernel_ridge.KernelRidge'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('KernelRidge', <class 'sklearn.kernel_ridge.KernelRidge'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('LDA', <class 'sklearn.discriminant_analysis.LinearDiscriminantAnalysis'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('LDA', <class 'sklearn.discriminant_analysis.LinearDiscriminantAnalysis'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('LDA', <class 'sklearn.discriminant_analysis.LinearDiscriminantAnalysis'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('LDA', <class 'sklearn.discriminant_analysis.LinearDiscriminantAnalysis'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('LDA', <class 'sklearn.discriminant_analysis.LinearDiscriminantAnalysis'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('LDA', <class 'sklearn.discriminant_analysis.LinearDiscriminantAnalysis'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('LDA', <class 'sklearn.discriminant_analysis.LinearDiscriminantAnalysis'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('LDA', <class 'sklearn.discriminant_analysis.LinearDiscriminantAnalysis'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('LDA', <class 'sklearn.discriminant_analysis.LinearDiscriminantAnalysis'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('LDA', <class 'sklearn.discriminant_analysis.LinearDiscriminantAnalysis'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('LDA', <class 'sklearn.discriminant_analysis.LinearDiscriminantAnalysis'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('LDA', <class 'sklearn.discriminant_analysis.LinearDiscriminantAnalysis'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('LDA', <class 'sklearn.discriminant_analysis.LinearDiscriminantAnalysis'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('LDA', <class 'sklearn.discriminant_analysis.LinearDiscriminantAnalysis'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('LDA', <class 'sklearn.discriminant_analysis.LinearDiscriminantAnalysis'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('LDA', <class 'sklearn.discriminant_analysis.LinearDiscriminantAnalysis'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('LDA', <class 'sklearn.discriminant_analysis.LinearDiscriminantAnalysis'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('LDA', <class 'sklearn.discriminant_analysis.LinearDiscriminantAnalysis'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('LDA', <class 'sklearn.discriminant_analysis.LinearDiscriminantAnalysis'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('LDA', <class 'sklearn.discriminant_analysis.LinearDiscriminantAnalysis'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('LDA', <class 'sklearn.discriminant_analysis.LinearDiscriminantAnalysis'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('LDA', <class 'sklearn.discriminant_analysis.LinearDiscriminantAnalysis'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('LDA', <class 'sklearn.discriminant_analysis.LinearDiscriminantAnalysis'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('LDA', <class 'sklearn.discriminant_analysis.LinearDiscriminantAnalysis'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('LDA', <class 'sklearn.discriminant_analysis.LinearDiscriminantAnalysis'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('LDA', <class 'sklearn.discriminant_analysis.LinearDiscriminantAnalysis'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('LSHForest', <class 'sklearn.neighbors.approximate.LSHForest'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('LSHForest', <class 'sklearn.neighbors.approximate.LSHForest'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('LSHForest', <class 'sklearn.neighbors.approximate.LSHForest'>) ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/random_projection.py:375: 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
sklearn.tests.test_common.test_non_meta_estimators('LSHForest', <class 'sklearn.neighbors.approximate.LSHForest'>) ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/random_projection.py:375: 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
sklearn.tests.test_common.test_non_meta_estimators('LSHForest', <class 'sklearn.neighbors.approximate.LSHForest'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('LSHForest', <class 'sklearn.neighbors.approximate.LSHForest'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('LSHForest', <class 'sklearn.neighbors.approximate.LSHForest'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('LSHForest', <class 'sklearn.neighbors.approximate.LSHForest'>) ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/random_projection.py:375: 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.tests.test_common.test_non_meta_estimators('LSHForest', <class 'sklearn.neighbors.approximate.LSHForest'>) ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/random_projection.py:375: 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
sklearn.tests.test_common.test_non_meta_estimators('LSHForest', <class 'sklearn.neighbors.approximate.LSHForest'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('LSHForest', <class 'sklearn.neighbors.approximate.LSHForest'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('LSHForest', <class 'sklearn.neighbors.approximate.LSHForest'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('LSHForest', <class 'sklearn.neighbors.approximate.LSHForest'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('LSHForest', <class 'sklearn.neighbors.approximate.LSHForest'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('LSHForest', <class 'sklearn.neighbors.approximate.LSHForest'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('LabelPropagation', <class 'sklearn.semi_supervised.label_propagation.LabelPropagation'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('LabelPropagation', <class 'sklearn.semi_supervised.label_propagation.LabelPropagation'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('LabelPropagation', <class 'sklearn.semi_supervised.label_propagation.LabelPropagation'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('LabelPropagation', <class 'sklearn.semi_supervised.label_propagation.LabelPropagation'>) ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/metrics/pairwise.py:811: RuntimeWarning: underflow encountered in exp
np.exp(K, K) # exponentiate K in-place
ok
sklearn.tests.test_common.test_non_meta_estimators('LabelPropagation', <class 'sklearn.semi_supervised.label_propagation.LabelPropagation'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('LabelPropagation', <class 'sklearn.semi_supervised.label_propagation.LabelPropagation'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('LabelPropagation', <class 'sklearn.semi_supervised.label_propagation.LabelPropagation'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('LabelPropagation', <class 'sklearn.semi_supervised.label_propagation.LabelPropagation'>) ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/metrics/pairwise.py:811: 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:349: RuntimeWarning: underflow encountered in divide
affinity_matrix /= normalizer[:, np.newaxis]
ok
sklearn.tests.test_common.test_non_meta_estimators('LabelPropagation', <class 'sklearn.semi_supervised.label_propagation.LabelPropagation'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('LabelPropagation', <class 'sklearn.semi_supervised.label_propagation.LabelPropagation'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('LabelPropagation', <class 'sklearn.semi_supervised.label_propagation.LabelPropagation'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('LabelPropagation', <class 'sklearn.semi_supervised.label_propagation.LabelPropagation'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('LabelPropagation', <class 'sklearn.semi_supervised.label_propagation.LabelPropagation'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('LabelPropagation', <class 'sklearn.semi_supervised.label_propagation.LabelPropagation'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('LabelPropagation', <class 'sklearn.semi_supervised.label_propagation.LabelPropagation'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('LabelPropagation', <class 'sklearn.semi_supervised.label_propagation.LabelPropagation'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('LabelPropagation', <class 'sklearn.semi_supervised.label_propagation.LabelPropagation'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('LabelPropagation', <class 'sklearn.semi_supervised.label_propagation.LabelPropagation'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('LabelPropagation', <class 'sklearn.semi_supervised.label_propagation.LabelPropagation'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('LabelPropagation', <class 'sklearn.semi_supervised.label_propagation.LabelPropagation'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('LabelPropagation', <class 'sklearn.semi_supervised.label_propagation.LabelPropagation'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('LabelPropagation', <class 'sklearn.semi_supervised.label_propagation.LabelPropagation'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('LabelSpreading', <class 'sklearn.semi_supervised.label_propagation.LabelSpreading'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('LabelSpreading', <class 'sklearn.semi_supervised.label_propagation.LabelSpreading'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('LabelSpreading', <class 'sklearn.semi_supervised.label_propagation.LabelSpreading'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('LabelSpreading', <class 'sklearn.semi_supervised.label_propagation.LabelSpreading'>) ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/metrics/pairwise.py:811: RuntimeWarning: underflow encountered in exp
np.exp(K, K) # exponentiate K in-place
ok
sklearn.tests.test_common.test_non_meta_estimators('LabelSpreading', <class 'sklearn.semi_supervised.label_propagation.LabelSpreading'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('LabelSpreading', <class 'sklearn.semi_supervised.label_propagation.LabelSpreading'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('LabelSpreading', <class 'sklearn.semi_supervised.label_propagation.LabelSpreading'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('LabelSpreading', <class 'sklearn.semi_supervised.label_propagation.LabelSpreading'>) ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/metrics/pairwise.py:811: RuntimeWarning: underflow encountered in exp
np.exp(K, K) # exponentiate K in-place
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/graph.py:175: RuntimeWarning: underflow encountered in divide
lap /= w
ok
sklearn.tests.test_common.test_non_meta_estimators('LabelSpreading', <class 'sklearn.semi_supervised.label_propagation.LabelSpreading'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('LabelSpreading', <class 'sklearn.semi_supervised.label_propagation.LabelSpreading'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('LabelSpreading', <class 'sklearn.semi_supervised.label_propagation.LabelSpreading'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('LabelSpreading', <class 'sklearn.semi_supervised.label_propagation.LabelSpreading'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('LabelSpreading', <class 'sklearn.semi_supervised.label_propagation.LabelSpreading'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('LabelSpreading', <class 'sklearn.semi_supervised.label_propagation.LabelSpreading'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('LabelSpreading', <class 'sklearn.semi_supervised.label_propagation.LabelSpreading'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('LabelSpreading', <class 'sklearn.semi_supervised.label_propagation.LabelSpreading'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('LabelSpreading', <class 'sklearn.semi_supervised.label_propagation.LabelSpreading'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('LabelSpreading', <class 'sklearn.semi_supervised.label_propagation.LabelSpreading'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('LabelSpreading', <class 'sklearn.semi_supervised.label_propagation.LabelSpreading'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('LabelSpreading', <class 'sklearn.semi_supervised.label_propagation.LabelSpreading'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('LabelSpreading', <class 'sklearn.semi_supervised.label_propagation.LabelSpreading'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('LabelSpreading', <class 'sklearn.semi_supervised.label_propagation.LabelSpreading'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('Lars', <class 'sklearn.linear_model.least_angle.Lars'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('Lars', <class 'sklearn.linear_model.least_angle.Lars'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('Lars', <class 'sklearn.linear_model.least_angle.Lars'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('Lars', <class 'sklearn.linear_model.least_angle.Lars'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('Lars', <class 'sklearn.linear_model.least_angle.Lars'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('Lars', <class 'sklearn.linear_model.least_angle.Lars'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('Lars', <class 'sklearn.linear_model.least_angle.Lars'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('Lars', <class 'sklearn.linear_model.least_angle.Lars'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('Lars', <class 'sklearn.linear_model.least_angle.Lars'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('Lars', <class 'sklearn.linear_model.least_angle.Lars'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('Lars', <class 'sklearn.linear_model.least_angle.Lars'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('Lars', <class 'sklearn.linear_model.least_angle.Lars'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('Lars', <class 'sklearn.linear_model.least_angle.Lars'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('Lars', <class 'sklearn.linear_model.least_angle.Lars'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('Lars', <class 'sklearn.linear_model.least_angle.Lars'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('Lars', <class 'sklearn.linear_model.least_angle.Lars'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('Lars', <class 'sklearn.linear_model.least_angle.Lars'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('Lars', <class 'sklearn.linear_model.least_angle.Lars'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('Lars', <class 'sklearn.linear_model.least_angle.Lars'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('Lars', <class 'sklearn.linear_model.least_angle.Lars'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('Lars', <class 'sklearn.linear_model.least_angle.Lars'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('Lars', <class 'sklearn.linear_model.least_angle.Lars'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('LarsCV', <class 'sklearn.linear_model.least_angle.LarsCV'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('LarsCV', <class 'sklearn.linear_model.least_angle.LarsCV'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('LarsCV', <class 'sklearn.linear_model.least_angle.LarsCV'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('LarsCV', <class 'sklearn.linear_model.least_angle.LarsCV'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('LarsCV', <class 'sklearn.linear_model.least_angle.LarsCV'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('LarsCV', <class 'sklearn.linear_model.least_angle.LarsCV'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('LarsCV', <class 'sklearn.linear_model.least_angle.LarsCV'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('LarsCV', <class 'sklearn.linear_model.least_angle.LarsCV'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('LarsCV', <class 'sklearn.linear_model.least_angle.LarsCV'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('LarsCV', <class 'sklearn.linear_model.least_angle.LarsCV'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('LarsCV', <class 'sklearn.linear_model.least_angle.LarsCV'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('LarsCV', <class 'sklearn.linear_model.least_angle.LarsCV'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('LarsCV', <class 'sklearn.linear_model.least_angle.LarsCV'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('LarsCV', <class 'sklearn.linear_model.least_angle.LarsCV'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('LarsCV', <class 'sklearn.linear_model.least_angle.LarsCV'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('LarsCV', <class 'sklearn.linear_model.least_angle.LarsCV'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('LarsCV', <class 'sklearn.linear_model.least_angle.LarsCV'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('LarsCV', <class 'sklearn.linear_model.least_angle.LarsCV'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('LarsCV', <class 'sklearn.linear_model.least_angle.LarsCV'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('LarsCV', <class 'sklearn.linear_model.least_angle.LarsCV'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('LarsCV', <class 'sklearn.linear_model.least_angle.LarsCV'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('LarsCV', <class 'sklearn.linear_model.least_angle.LarsCV'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('Lasso', <class 'sklearn.linear_model.coordinate_descent.Lasso'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('Lasso', <class 'sklearn.linear_model.coordinate_descent.Lasso'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('Lasso', <class 'sklearn.linear_model.coordinate_descent.Lasso'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('Lasso', <class 'sklearn.linear_model.coordinate_descent.Lasso'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('Lasso', <class 'sklearn.linear_model.coordinate_descent.Lasso'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('Lasso', <class 'sklearn.linear_model.coordinate_descent.Lasso'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('Lasso', <class 'sklearn.linear_model.coordinate_descent.Lasso'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('Lasso', <class 'sklearn.linear_model.coordinate_descent.Lasso'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('Lasso', <class 'sklearn.linear_model.coordinate_descent.Lasso'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('Lasso', <class 'sklearn.linear_model.coordinate_descent.Lasso'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('Lasso', <class 'sklearn.linear_model.coordinate_descent.Lasso'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('Lasso', <class 'sklearn.linear_model.coordinate_descent.Lasso'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('Lasso', <class 'sklearn.linear_model.coordinate_descent.Lasso'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('Lasso', <class 'sklearn.linear_model.coordinate_descent.Lasso'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('Lasso', <class 'sklearn.linear_model.coordinate_descent.Lasso'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('Lasso', <class 'sklearn.linear_model.coordinate_descent.Lasso'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('Lasso', <class 'sklearn.linear_model.coordinate_descent.Lasso'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('Lasso', <class 'sklearn.linear_model.coordinate_descent.Lasso'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('Lasso', <class 'sklearn.linear_model.coordinate_descent.Lasso'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('Lasso', <class 'sklearn.linear_model.coordinate_descent.Lasso'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('Lasso', <class 'sklearn.linear_model.coordinate_descent.Lasso'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('Lasso', <class 'sklearn.linear_model.coordinate_descent.Lasso'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('LassoCV', <class 'sklearn.linear_model.coordinate_descent.LassoCV'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('LassoCV', <class 'sklearn.linear_model.coordinate_descent.LassoCV'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('LassoCV', <class 'sklearn.linear_model.coordinate_descent.LassoCV'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('LassoCV', <class 'sklearn.linear_model.coordinate_descent.LassoCV'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('LassoCV', <class 'sklearn.linear_model.coordinate_descent.LassoCV'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('LassoCV', <class 'sklearn.linear_model.coordinate_descent.LassoCV'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('LassoCV', <class 'sklearn.linear_model.coordinate_descent.LassoCV'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('LassoCV', <class 'sklearn.linear_model.coordinate_descent.LassoCV'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('LassoCV', <class 'sklearn.linear_model.coordinate_descent.LassoCV'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('LassoCV', <class 'sklearn.linear_model.coordinate_descent.LassoCV'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('LassoCV', <class 'sklearn.linear_model.coordinate_descent.LassoCV'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('LassoCV', <class 'sklearn.linear_model.coordinate_descent.LassoCV'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('LassoCV', <class 'sklearn.linear_model.coordinate_descent.LassoCV'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('LassoCV', <class 'sklearn.linear_model.coordinate_descent.LassoCV'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('LassoCV', <class 'sklearn.linear_model.coordinate_descent.LassoCV'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('LassoCV', <class 'sklearn.linear_model.coordinate_descent.LassoCV'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('LassoCV', <class 'sklearn.linear_model.coordinate_descent.LassoCV'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('LassoCV', <class 'sklearn.linear_model.coordinate_descent.LassoCV'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('LassoCV', <class 'sklearn.linear_model.coordinate_descent.LassoCV'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('LassoCV', <class 'sklearn.linear_model.coordinate_descent.LassoCV'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('LassoCV', <class 'sklearn.linear_model.coordinate_descent.LassoCV'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('LassoCV', <class 'sklearn.linear_model.coordinate_descent.LassoCV'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('LassoLars', <class 'sklearn.linear_model.least_angle.LassoLars'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('LassoLars', <class 'sklearn.linear_model.least_angle.LassoLars'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('LassoLars', <class 'sklearn.linear_model.least_angle.LassoLars'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('LassoLars', <class 'sklearn.linear_model.least_angle.LassoLars'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('LassoLars', <class 'sklearn.linear_model.least_angle.LassoLars'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('LassoLars', <class 'sklearn.linear_model.least_angle.LassoLars'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('LassoLars', <class 'sklearn.linear_model.least_angle.LassoLars'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('LassoLars', <class 'sklearn.linear_model.least_angle.LassoLars'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('LassoLars', <class 'sklearn.linear_model.least_angle.LassoLars'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('LassoLars', <class 'sklearn.linear_model.least_angle.LassoLars'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('LassoLars', <class 'sklearn.linear_model.least_angle.LassoLars'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('LassoLars', <class 'sklearn.linear_model.least_angle.LassoLars'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('LassoLars', <class 'sklearn.linear_model.least_angle.LassoLars'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('LassoLars', <class 'sklearn.linear_model.least_angle.LassoLars'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('LassoLars', <class 'sklearn.linear_model.least_angle.LassoLars'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('LassoLars', <class 'sklearn.linear_model.least_angle.LassoLars'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('LassoLars', <class 'sklearn.linear_model.least_angle.LassoLars'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('LassoLars', <class 'sklearn.linear_model.least_angle.LassoLars'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('LassoLars', <class 'sklearn.linear_model.least_angle.LassoLars'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('LassoLars', <class 'sklearn.linear_model.least_angle.LassoLars'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('LassoLars', <class 'sklearn.linear_model.least_angle.LassoLars'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('LassoLars', <class 'sklearn.linear_model.least_angle.LassoLars'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('LassoLarsCV', <class 'sklearn.linear_model.least_angle.LassoLarsCV'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('LassoLarsCV', <class 'sklearn.linear_model.least_angle.LassoLarsCV'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('LassoLarsCV', <class 'sklearn.linear_model.least_angle.LassoLarsCV'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('LassoLarsCV', <class 'sklearn.linear_model.least_angle.LassoLarsCV'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('LassoLarsCV', <class 'sklearn.linear_model.least_angle.LassoLarsCV'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('LassoLarsCV', <class 'sklearn.linear_model.least_angle.LassoLarsCV'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('LassoLarsCV', <class 'sklearn.linear_model.least_angle.LassoLarsCV'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('LassoLarsCV', <class 'sklearn.linear_model.least_angle.LassoLarsCV'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('LassoLarsCV', <class 'sklearn.linear_model.least_angle.LassoLarsCV'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('LassoLarsCV', <class 'sklearn.linear_model.least_angle.LassoLarsCV'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('LassoLarsCV', <class 'sklearn.linear_model.least_angle.LassoLarsCV'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('LassoLarsCV', <class 'sklearn.linear_model.least_angle.LassoLarsCV'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('LassoLarsCV', <class 'sklearn.linear_model.least_angle.LassoLarsCV'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('LassoLarsCV', <class 'sklearn.linear_model.least_angle.LassoLarsCV'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('LassoLarsCV', <class 'sklearn.linear_model.least_angle.LassoLarsCV'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('LassoLarsCV', <class 'sklearn.linear_model.least_angle.LassoLarsCV'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('LassoLarsCV', <class 'sklearn.linear_model.least_angle.LassoLarsCV'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('LassoLarsCV', <class 'sklearn.linear_model.least_angle.LassoLarsCV'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('LassoLarsCV', <class 'sklearn.linear_model.least_angle.LassoLarsCV'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('LassoLarsCV', <class 'sklearn.linear_model.least_angle.LassoLarsCV'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('LassoLarsCV', <class 'sklearn.linear_model.least_angle.LassoLarsCV'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('LassoLarsCV', <class 'sklearn.linear_model.least_angle.LassoLarsCV'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('LassoLarsIC', <class 'sklearn.linear_model.least_angle.LassoLarsIC'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('LassoLarsIC', <class 'sklearn.linear_model.least_angle.LassoLarsIC'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('LassoLarsIC', <class 'sklearn.linear_model.least_angle.LassoLarsIC'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('LassoLarsIC', <class 'sklearn.linear_model.least_angle.LassoLarsIC'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('LassoLarsIC', <class 'sklearn.linear_model.least_angle.LassoLarsIC'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('LassoLarsIC', <class 'sklearn.linear_model.least_angle.LassoLarsIC'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('LassoLarsIC', <class 'sklearn.linear_model.least_angle.LassoLarsIC'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('LassoLarsIC', <class 'sklearn.linear_model.least_angle.LassoLarsIC'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('LassoLarsIC', <class 'sklearn.linear_model.least_angle.LassoLarsIC'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('LassoLarsIC', <class 'sklearn.linear_model.least_angle.LassoLarsIC'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('LassoLarsIC', <class 'sklearn.linear_model.least_angle.LassoLarsIC'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('LassoLarsIC', <class 'sklearn.linear_model.least_angle.LassoLarsIC'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('LassoLarsIC', <class 'sklearn.linear_model.least_angle.LassoLarsIC'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('LassoLarsIC', <class 'sklearn.linear_model.least_angle.LassoLarsIC'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('LassoLarsIC', <class 'sklearn.linear_model.least_angle.LassoLarsIC'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('LassoLarsIC', <class 'sklearn.linear_model.least_angle.LassoLarsIC'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('LassoLarsIC', <class 'sklearn.linear_model.least_angle.LassoLarsIC'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('LassoLarsIC', <class 'sklearn.linear_model.least_angle.LassoLarsIC'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('LassoLarsIC', <class 'sklearn.linear_model.least_angle.LassoLarsIC'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('LassoLarsIC', <class 'sklearn.linear_model.least_angle.LassoLarsIC'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('LassoLarsIC', <class 'sklearn.linear_model.least_angle.LassoLarsIC'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('LassoLarsIC', <class 'sklearn.linear_model.least_angle.LassoLarsIC'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('LatentDirichletAllocation', <class 'sklearn.decomposition.online_lda.LatentDirichletAllocation'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('LatentDirichletAllocation', <class 'sklearn.decomposition.online_lda.LatentDirichletAllocation'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('LatentDirichletAllocation', <class 'sklearn.decomposition.online_lda.LatentDirichletAllocation'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('LatentDirichletAllocation', <class 'sklearn.decomposition.online_lda.LatentDirichletAllocation'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('LatentDirichletAllocation', <class 'sklearn.decomposition.online_lda.LatentDirichletAllocation'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('LatentDirichletAllocation', <class 'sklearn.decomposition.online_lda.LatentDirichletAllocation'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('LatentDirichletAllocation', <class 'sklearn.decomposition.online_lda.LatentDirichletAllocation'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('LatentDirichletAllocation', <class 'sklearn.decomposition.online_lda.LatentDirichletAllocation'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('LatentDirichletAllocation', <class 'sklearn.decomposition.online_lda.LatentDirichletAllocation'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('LatentDirichletAllocation', <class 'sklearn.decomposition.online_lda.LatentDirichletAllocation'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('LatentDirichletAllocation', <class 'sklearn.decomposition.online_lda.LatentDirichletAllocation'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('LatentDirichletAllocation', <class 'sklearn.decomposition.online_lda.LatentDirichletAllocation'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('LatentDirichletAllocation', <class 'sklearn.decomposition.online_lda.LatentDirichletAllocation'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('LatentDirichletAllocation', <class 'sklearn.decomposition.online_lda.LatentDirichletAllocation'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('LatentDirichletAllocation', <class 'sklearn.decomposition.online_lda.LatentDirichletAllocation'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('LatentDirichletAllocation', <class 'sklearn.decomposition.online_lda.LatentDirichletAllocation'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('LatentDirichletAllocation', <class 'sklearn.decomposition.online_lda.LatentDirichletAllocation'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('LatentDirichletAllocation', <class 'sklearn.decomposition.online_lda.LatentDirichletAllocation'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('LedoitWolf', <class 'sklearn.covariance.shrunk_covariance_.LedoitWolf'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('LedoitWolf', <class 'sklearn.covariance.shrunk_covariance_.LedoitWolf'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('LedoitWolf', <class 'sklearn.covariance.shrunk_covariance_.LedoitWolf'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('LedoitWolf', <class 'sklearn.covariance.shrunk_covariance_.LedoitWolf'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('LedoitWolf', <class 'sklearn.covariance.shrunk_covariance_.LedoitWolf'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('LedoitWolf', <class 'sklearn.covariance.shrunk_covariance_.LedoitWolf'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('LedoitWolf', <class 'sklearn.covariance.shrunk_covariance_.LedoitWolf'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('LedoitWolf', <class 'sklearn.covariance.shrunk_covariance_.LedoitWolf'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('LedoitWolf', <class 'sklearn.covariance.shrunk_covariance_.LedoitWolf'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('LedoitWolf', <class 'sklearn.covariance.shrunk_covariance_.LedoitWolf'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('LedoitWolf', <class 'sklearn.covariance.shrunk_covariance_.LedoitWolf'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('LedoitWolf', <class 'sklearn.covariance.shrunk_covariance_.LedoitWolf'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('LedoitWolf', <class 'sklearn.covariance.shrunk_covariance_.LedoitWolf'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('LedoitWolf', <class 'sklearn.covariance.shrunk_covariance_.LedoitWolf'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('LedoitWolf', <class 'sklearn.covariance.shrunk_covariance_.LedoitWolf'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('LinearDiscriminantAnalysis', <class 'sklearn.discriminant_analysis.LinearDiscriminantAnalysis'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('LinearDiscriminantAnalysis', <class 'sklearn.discriminant_analysis.LinearDiscriminantAnalysis'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('LinearDiscriminantAnalysis', <class 'sklearn.discriminant_analysis.LinearDiscriminantAnalysis'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('LinearDiscriminantAnalysis', <class 'sklearn.discriminant_analysis.LinearDiscriminantAnalysis'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('LinearDiscriminantAnalysis', <class 'sklearn.discriminant_analysis.LinearDiscriminantAnalysis'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('LinearDiscriminantAnalysis', <class 'sklearn.discriminant_analysis.LinearDiscriminantAnalysis'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('LinearDiscriminantAnalysis', <class 'sklearn.discriminant_analysis.LinearDiscriminantAnalysis'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('LinearDiscriminantAnalysis', <class 'sklearn.discriminant_analysis.LinearDiscriminantAnalysis'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('LinearDiscriminantAnalysis', <class 'sklearn.discriminant_analysis.LinearDiscriminantAnalysis'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('LinearDiscriminantAnalysis', <class 'sklearn.discriminant_analysis.LinearDiscriminantAnalysis'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('LinearDiscriminantAnalysis', <class 'sklearn.discriminant_analysis.LinearDiscriminantAnalysis'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('LinearDiscriminantAnalysis', <class 'sklearn.discriminant_analysis.LinearDiscriminantAnalysis'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('LinearDiscriminantAnalysis', <class 'sklearn.discriminant_analysis.LinearDiscriminantAnalysis'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('LinearDiscriminantAnalysis', <class 'sklearn.discriminant_analysis.LinearDiscriminantAnalysis'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('LinearDiscriminantAnalysis', <class 'sklearn.discriminant_analysis.LinearDiscriminantAnalysis'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('LinearDiscriminantAnalysis', <class 'sklearn.discriminant_analysis.LinearDiscriminantAnalysis'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('LinearDiscriminantAnalysis', <class 'sklearn.discriminant_analysis.LinearDiscriminantAnalysis'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('LinearDiscriminantAnalysis', <class 'sklearn.discriminant_analysis.LinearDiscriminantAnalysis'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('LinearDiscriminantAnalysis', <class 'sklearn.discriminant_analysis.LinearDiscriminantAnalysis'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('LinearDiscriminantAnalysis', <class 'sklearn.discriminant_analysis.LinearDiscriminantAnalysis'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('LinearDiscriminantAnalysis', <class 'sklearn.discriminant_analysis.LinearDiscriminantAnalysis'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('LinearDiscriminantAnalysis', <class 'sklearn.discriminant_analysis.LinearDiscriminantAnalysis'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('LinearDiscriminantAnalysis', <class 'sklearn.discriminant_analysis.LinearDiscriminantAnalysis'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('LinearDiscriminantAnalysis', <class 'sklearn.discriminant_analysis.LinearDiscriminantAnalysis'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('LinearDiscriminantAnalysis', <class 'sklearn.discriminant_analysis.LinearDiscriminantAnalysis'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('LinearDiscriminantAnalysis', <class 'sklearn.discriminant_analysis.LinearDiscriminantAnalysis'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('LinearRegression', <class 'sklearn.linear_model.base.LinearRegression'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('LinearRegression', <class 'sklearn.linear_model.base.LinearRegression'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('LinearRegression', <class 'sklearn.linear_model.base.LinearRegression'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('LinearRegression', <class 'sklearn.linear_model.base.LinearRegression'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('LinearRegression', <class 'sklearn.linear_model.base.LinearRegression'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('LinearRegression', <class 'sklearn.linear_model.base.LinearRegression'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('LinearRegression', <class 'sklearn.linear_model.base.LinearRegression'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('LinearRegression', <class 'sklearn.linear_model.base.LinearRegression'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('LinearRegression', <class 'sklearn.linear_model.base.LinearRegression'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('LinearRegression', <class 'sklearn.linear_model.base.LinearRegression'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('LinearRegression', <class 'sklearn.linear_model.base.LinearRegression'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('LinearRegression', <class 'sklearn.linear_model.base.LinearRegression'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('LinearRegression', <class 'sklearn.linear_model.base.LinearRegression'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('LinearRegression', <class 'sklearn.linear_model.base.LinearRegression'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('LinearRegression', <class 'sklearn.linear_model.base.LinearRegression'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('LinearRegression', <class 'sklearn.linear_model.base.LinearRegression'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('LinearRegression', <class 'sklearn.linear_model.base.LinearRegression'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('LinearRegression', <class 'sklearn.linear_model.base.LinearRegression'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('LinearRegression', <class 'sklearn.linear_model.base.LinearRegression'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('LinearRegression', <class 'sklearn.linear_model.base.LinearRegression'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('LinearRegression', <class 'sklearn.linear_model.base.LinearRegression'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('LinearRegression', <class 'sklearn.linear_model.base.LinearRegression'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('LinearSVC', <class 'sklearn.svm.classes.LinearSVC'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('LinearSVC', <class 'sklearn.svm.classes.LinearSVC'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('LinearSVC', <class 'sklearn.svm.classes.LinearSVC'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('LinearSVC', <class 'sklearn.svm.classes.LinearSVC'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('LinearSVC', <class 'sklearn.svm.classes.LinearSVC'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('LinearSVC', <class 'sklearn.svm.classes.LinearSVC'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('LinearSVC', <class 'sklearn.svm.classes.LinearSVC'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('LinearSVC', <class 'sklearn.svm.classes.LinearSVC'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('LinearSVC', <class 'sklearn.svm.classes.LinearSVC'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('LinearSVC', <class 'sklearn.svm.classes.LinearSVC'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('LinearSVC', <class 'sklearn.svm.classes.LinearSVC'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('LinearSVC', <class 'sklearn.svm.classes.LinearSVC'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('LinearSVC', <class 'sklearn.svm.classes.LinearSVC'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('LinearSVC', <class 'sklearn.svm.classes.LinearSVC'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('LinearSVC', <class 'sklearn.svm.classes.LinearSVC'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('LinearSVC', <class 'sklearn.svm.classes.LinearSVC'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('LinearSVC', <class 'sklearn.svm.classes.LinearSVC'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('LinearSVC', <class 'sklearn.svm.classes.LinearSVC'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('LinearSVC', <class 'sklearn.svm.classes.LinearSVC'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('LinearSVC', <class 'sklearn.svm.classes.LinearSVC'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('LinearSVC', <class 'sklearn.svm.classes.LinearSVC'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('LinearSVC', <class 'sklearn.svm.classes.LinearSVC'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('LinearSVC', <class 'sklearn.svm.classes.LinearSVC'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('LinearSVC', <class 'sklearn.svm.classes.LinearSVC'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('LinearSVC', <class 'sklearn.svm.classes.LinearSVC'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('LinearSVR', <class 'sklearn.svm.classes.LinearSVR'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('LinearSVR', <class 'sklearn.svm.classes.LinearSVR'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('LinearSVR', <class 'sklearn.svm.classes.LinearSVR'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('LinearSVR', <class 'sklearn.svm.classes.LinearSVR'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('LinearSVR', <class 'sklearn.svm.classes.LinearSVR'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('LinearSVR', <class 'sklearn.svm.classes.LinearSVR'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('LinearSVR', <class 'sklearn.svm.classes.LinearSVR'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('LinearSVR', <class 'sklearn.svm.classes.LinearSVR'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('LinearSVR', <class 'sklearn.svm.classes.LinearSVR'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('LinearSVR', <class 'sklearn.svm.classes.LinearSVR'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('LinearSVR', <class 'sklearn.svm.classes.LinearSVR'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('LinearSVR', <class 'sklearn.svm.classes.LinearSVR'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('LinearSVR', <class 'sklearn.svm.classes.LinearSVR'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('LinearSVR', <class 'sklearn.svm.classes.LinearSVR'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('LinearSVR', <class 'sklearn.svm.classes.LinearSVR'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('LinearSVR', <class 'sklearn.svm.classes.LinearSVR'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('LinearSVR', <class 'sklearn.svm.classes.LinearSVR'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('LinearSVR', <class 'sklearn.svm.classes.LinearSVR'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('LinearSVR', <class 'sklearn.svm.classes.LinearSVR'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('LinearSVR', <class 'sklearn.svm.classes.LinearSVR'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('LinearSVR', <class 'sklearn.svm.classes.LinearSVR'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('LinearSVR', <class 'sklearn.svm.classes.LinearSVR'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('LocallyLinearEmbedding', <class 'sklearn.manifold.locally_linear.LocallyLinearEmbedding'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('LocallyLinearEmbedding', <class 'sklearn.manifold.locally_linear.LocallyLinearEmbedding'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('LocallyLinearEmbedding', <class 'sklearn.manifold.locally_linear.LocallyLinearEmbedding'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('LocallyLinearEmbedding', <class 'sklearn.manifold.locally_linear.LocallyLinearEmbedding'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('LocallyLinearEmbedding', <class 'sklearn.manifold.locally_linear.LocallyLinearEmbedding'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('LocallyLinearEmbedding', <class 'sklearn.manifold.locally_linear.LocallyLinearEmbedding'>) ... SKIP: LocallyLinearEmbedding is non deterministic on 32bit Python
sklearn.tests.test_common.test_non_meta_estimators('LocallyLinearEmbedding', <class 'sklearn.manifold.locally_linear.LocallyLinearEmbedding'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('LocallyLinearEmbedding', <class 'sklearn.manifold.locally_linear.LocallyLinearEmbedding'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('LocallyLinearEmbedding', <class 'sklearn.manifold.locally_linear.LocallyLinearEmbedding'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('LocallyLinearEmbedding', <class 'sklearn.manifold.locally_linear.LocallyLinearEmbedding'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('LocallyLinearEmbedding', <class 'sklearn.manifold.locally_linear.LocallyLinearEmbedding'>) ... SKIP: LocallyLinearEmbedding is non deterministic on 32bit Python
sklearn.tests.test_common.test_non_meta_estimators('LocallyLinearEmbedding', <class 'sklearn.manifold.locally_linear.LocallyLinearEmbedding'>) ... SKIP: LocallyLinearEmbedding is non deterministic on 32bit Python
sklearn.tests.test_common.test_non_meta_estimators('LocallyLinearEmbedding', <class 'sklearn.manifold.locally_linear.LocallyLinearEmbedding'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('LocallyLinearEmbedding', <class 'sklearn.manifold.locally_linear.LocallyLinearEmbedding'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('LocallyLinearEmbedding', <class 'sklearn.manifold.locally_linear.LocallyLinearEmbedding'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('LocallyLinearEmbedding', <class 'sklearn.manifold.locally_linear.LocallyLinearEmbedding'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('LocallyLinearEmbedding', <class 'sklearn.manifold.locally_linear.LocallyLinearEmbedding'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('LocallyLinearEmbedding', <class 'sklearn.manifold.locally_linear.LocallyLinearEmbedding'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('LogisticRegression', <class 'sklearn.linear_model.logistic.LogisticRegression'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('LogisticRegression', <class 'sklearn.linear_model.logistic.LogisticRegression'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('LogisticRegression', <class 'sklearn.linear_model.logistic.LogisticRegression'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('LogisticRegression', <class 'sklearn.linear_model.logistic.LogisticRegression'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('LogisticRegression', <class 'sklearn.linear_model.logistic.LogisticRegression'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('LogisticRegression', <class 'sklearn.linear_model.logistic.LogisticRegression'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('LogisticRegression', <class 'sklearn.linear_model.logistic.LogisticRegression'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('LogisticRegression', <class 'sklearn.linear_model.logistic.LogisticRegression'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('LogisticRegression', <class 'sklearn.linear_model.logistic.LogisticRegression'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('LogisticRegression', <class 'sklearn.linear_model.logistic.LogisticRegression'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('LogisticRegression', <class 'sklearn.linear_model.logistic.LogisticRegression'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('LogisticRegression', <class 'sklearn.linear_model.logistic.LogisticRegression'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('LogisticRegression', <class 'sklearn.linear_model.logistic.LogisticRegression'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('LogisticRegression', <class 'sklearn.linear_model.logistic.LogisticRegression'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('LogisticRegression', <class 'sklearn.linear_model.logistic.LogisticRegression'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('LogisticRegression', <class 'sklearn.linear_model.logistic.LogisticRegression'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('LogisticRegression', <class 'sklearn.linear_model.logistic.LogisticRegression'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('LogisticRegression', <class 'sklearn.linear_model.logistic.LogisticRegression'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('LogisticRegression', <class 'sklearn.linear_model.logistic.LogisticRegression'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('LogisticRegression', <class 'sklearn.linear_model.logistic.LogisticRegression'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('LogisticRegression', <class 'sklearn.linear_model.logistic.LogisticRegression'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('LogisticRegression', <class 'sklearn.linear_model.logistic.LogisticRegression'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('LogisticRegression', <class 'sklearn.linear_model.logistic.LogisticRegression'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('LogisticRegression', <class 'sklearn.linear_model.logistic.LogisticRegression'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('LogisticRegression', <class 'sklearn.linear_model.logistic.LogisticRegression'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('LogisticRegressionCV', <class 'sklearn.linear_model.logistic.LogisticRegressionCV'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('LogisticRegressionCV', <class 'sklearn.linear_model.logistic.LogisticRegressionCV'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('LogisticRegressionCV', <class 'sklearn.linear_model.logistic.LogisticRegressionCV'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('LogisticRegressionCV', <class 'sklearn.linear_model.logistic.LogisticRegressionCV'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('LogisticRegressionCV', <class 'sklearn.linear_model.logistic.LogisticRegressionCV'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('LogisticRegressionCV', <class 'sklearn.linear_model.logistic.LogisticRegressionCV'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('LogisticRegressionCV', <class 'sklearn.linear_model.logistic.LogisticRegressionCV'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('LogisticRegressionCV', <class 'sklearn.linear_model.logistic.LogisticRegressionCV'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('LogisticRegressionCV', <class 'sklearn.linear_model.logistic.LogisticRegressionCV'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('LogisticRegressionCV', <class 'sklearn.linear_model.logistic.LogisticRegressionCV'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('LogisticRegressionCV', <class 'sklearn.linear_model.logistic.LogisticRegressionCV'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('LogisticRegressionCV', <class 'sklearn.linear_model.logistic.LogisticRegressionCV'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('LogisticRegressionCV', <class 'sklearn.linear_model.logistic.LogisticRegressionCV'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('LogisticRegressionCV', <class 'sklearn.linear_model.logistic.LogisticRegressionCV'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('LogisticRegressionCV', <class 'sklearn.linear_model.logistic.LogisticRegressionCV'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('LogisticRegressionCV', <class 'sklearn.linear_model.logistic.LogisticRegressionCV'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('LogisticRegressionCV', <class 'sklearn.linear_model.logistic.LogisticRegressionCV'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('LogisticRegressionCV', <class 'sklearn.linear_model.logistic.LogisticRegressionCV'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('LogisticRegressionCV', <class 'sklearn.linear_model.logistic.LogisticRegressionCV'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('LogisticRegressionCV', <class 'sklearn.linear_model.logistic.LogisticRegressionCV'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('LogisticRegressionCV', <class 'sklearn.linear_model.logistic.LogisticRegressionCV'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('LogisticRegressionCV', <class 'sklearn.linear_model.logistic.LogisticRegressionCV'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('LogisticRegressionCV', <class 'sklearn.linear_model.logistic.LogisticRegressionCV'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('LogisticRegressionCV', <class 'sklearn.linear_model.logistic.LogisticRegressionCV'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('LogisticRegressionCV', <class 'sklearn.linear_model.logistic.LogisticRegressionCV'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('MDS', <class 'sklearn.manifold.mds.MDS'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('MDS', <class 'sklearn.manifold.mds.MDS'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('MDS', <class 'sklearn.manifold.mds.MDS'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('MDS', <class 'sklearn.manifold.mds.MDS'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('MDS', <class 'sklearn.manifold.mds.MDS'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('MDS', <class 'sklearn.manifold.mds.MDS'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('MDS', <class 'sklearn.manifold.mds.MDS'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('MDS', <class 'sklearn.manifold.mds.MDS'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('MDS', <class 'sklearn.manifold.mds.MDS'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('MDS', <class 'sklearn.manifold.mds.MDS'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('MDS', <class 'sklearn.manifold.mds.MDS'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('MDS', <class 'sklearn.manifold.mds.MDS'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('MDS', <class 'sklearn.manifold.mds.MDS'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('MDS', <class 'sklearn.manifold.mds.MDS'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('MDS', <class 'sklearn.manifold.mds.MDS'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('MaxAbsScaler', <class 'sklearn.preprocessing.data.MaxAbsScaler'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('MaxAbsScaler', <class 'sklearn.preprocessing.data.MaxAbsScaler'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('MaxAbsScaler', <class 'sklearn.preprocessing.data.MaxAbsScaler'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('MaxAbsScaler', <class 'sklearn.preprocessing.data.MaxAbsScaler'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('MaxAbsScaler', <class 'sklearn.preprocessing.data.MaxAbsScaler'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('MaxAbsScaler', <class 'sklearn.preprocessing.data.MaxAbsScaler'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('MaxAbsScaler', <class 'sklearn.preprocessing.data.MaxAbsScaler'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('MaxAbsScaler', <class 'sklearn.preprocessing.data.MaxAbsScaler'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('MaxAbsScaler', <class 'sklearn.preprocessing.data.MaxAbsScaler'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('MaxAbsScaler', <class 'sklearn.preprocessing.data.MaxAbsScaler'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('MaxAbsScaler', <class 'sklearn.preprocessing.data.MaxAbsScaler'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('MaxAbsScaler', <class 'sklearn.preprocessing.data.MaxAbsScaler'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('MaxAbsScaler', <class 'sklearn.preprocessing.data.MaxAbsScaler'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('MaxAbsScaler', <class 'sklearn.preprocessing.data.MaxAbsScaler'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('MaxAbsScaler', <class 'sklearn.preprocessing.data.MaxAbsScaler'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('MaxAbsScaler', <class 'sklearn.preprocessing.data.MaxAbsScaler'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('MaxAbsScaler', <class 'sklearn.preprocessing.data.MaxAbsScaler'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('MaxAbsScaler', <class 'sklearn.preprocessing.data.MaxAbsScaler'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('MeanShift', <class 'sklearn.cluster.mean_shift_.MeanShift'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('MeanShift', <class 'sklearn.cluster.mean_shift_.MeanShift'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('MeanShift', <class 'sklearn.cluster.mean_shift_.MeanShift'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('MeanShift', <class 'sklearn.cluster.mean_shift_.MeanShift'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('MeanShift', <class 'sklearn.cluster.mean_shift_.MeanShift'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('MeanShift', <class 'sklearn.cluster.mean_shift_.MeanShift'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('MeanShift', <class 'sklearn.cluster.mean_shift_.MeanShift'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('MeanShift', <class 'sklearn.cluster.mean_shift_.MeanShift'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('MeanShift', <class 'sklearn.cluster.mean_shift_.MeanShift'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('MeanShift', <class 'sklearn.cluster.mean_shift_.MeanShift'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('MeanShift', <class 'sklearn.cluster.mean_shift_.MeanShift'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('MeanShift', <class 'sklearn.cluster.mean_shift_.MeanShift'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('MeanShift', <class 'sklearn.cluster.mean_shift_.MeanShift'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('MeanShift', <class 'sklearn.cluster.mean_shift_.MeanShift'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('MeanShift', <class 'sklearn.cluster.mean_shift_.MeanShift'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('MeanShift', <class 'sklearn.cluster.mean_shift_.MeanShift'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('MeanShift', <class 'sklearn.cluster.mean_shift_.MeanShift'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('MeanShift', <class 'sklearn.cluster.mean_shift_.MeanShift'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('MinCovDet', <class 'sklearn.covariance.robust_covariance.MinCovDet'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('MinCovDet', <class 'sklearn.covariance.robust_covariance.MinCovDet'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('MinCovDet', <class 'sklearn.covariance.robust_covariance.MinCovDet'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('MinCovDet', <class 'sklearn.covariance.robust_covariance.MinCovDet'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('MinCovDet', <class 'sklearn.covariance.robust_covariance.MinCovDet'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('MinCovDet', <class 'sklearn.covariance.robust_covariance.MinCovDet'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('MinCovDet', <class 'sklearn.covariance.robust_covariance.MinCovDet'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('MinCovDet', <class 'sklearn.covariance.robust_covariance.MinCovDet'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('MinCovDet', <class 'sklearn.covariance.robust_covariance.MinCovDet'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('MinCovDet', <class 'sklearn.covariance.robust_covariance.MinCovDet'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('MinCovDet', <class 'sklearn.covariance.robust_covariance.MinCovDet'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('MinCovDet', <class 'sklearn.covariance.robust_covariance.MinCovDet'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('MinCovDet', <class 'sklearn.covariance.robust_covariance.MinCovDet'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('MinCovDet', <class 'sklearn.covariance.robust_covariance.MinCovDet'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('MinCovDet', <class 'sklearn.covariance.robust_covariance.MinCovDet'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('MinMaxScaler', <class 'sklearn.preprocessing.data.MinMaxScaler'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('MinMaxScaler', <class 'sklearn.preprocessing.data.MinMaxScaler'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('MinMaxScaler', <class 'sklearn.preprocessing.data.MinMaxScaler'>) ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/validation.py:420: DataConversionWarning: Data with input dtype object was converted to float64 by MinMaxScaler.
warnings.warn(msg, DataConversionWarning)
ok
sklearn.tests.test_common.test_non_meta_estimators('MinMaxScaler', <class 'sklearn.preprocessing.data.MinMaxScaler'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('MinMaxScaler', <class 'sklearn.preprocessing.data.MinMaxScaler'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('MinMaxScaler', <class 'sklearn.preprocessing.data.MinMaxScaler'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('MinMaxScaler', <class 'sklearn.preprocessing.data.MinMaxScaler'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('MinMaxScaler', <class 'sklearn.preprocessing.data.MinMaxScaler'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('MinMaxScaler', <class 'sklearn.preprocessing.data.MinMaxScaler'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('MinMaxScaler', <class 'sklearn.preprocessing.data.MinMaxScaler'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('MinMaxScaler', <class 'sklearn.preprocessing.data.MinMaxScaler'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('MinMaxScaler', <class 'sklearn.preprocessing.data.MinMaxScaler'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('MinMaxScaler', <class 'sklearn.preprocessing.data.MinMaxScaler'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('MinMaxScaler', <class 'sklearn.preprocessing.data.MinMaxScaler'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('MinMaxScaler', <class 'sklearn.preprocessing.data.MinMaxScaler'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('MinMaxScaler', <class 'sklearn.preprocessing.data.MinMaxScaler'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('MinMaxScaler', <class 'sklearn.preprocessing.data.MinMaxScaler'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('MinMaxScaler', <class 'sklearn.preprocessing.data.MinMaxScaler'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('MiniBatchDictionaryLearning', <class 'sklearn.decomposition.dict_learning.MiniBatchDictionaryLearning'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('MiniBatchDictionaryLearning', <class 'sklearn.decomposition.dict_learning.MiniBatchDictionaryLearning'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('MiniBatchDictionaryLearning', <class 'sklearn.decomposition.dict_learning.MiniBatchDictionaryLearning'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('MiniBatchDictionaryLearning', <class 'sklearn.decomposition.dict_learning.MiniBatchDictionaryLearning'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('MiniBatchDictionaryLearning', <class 'sklearn.decomposition.dict_learning.MiniBatchDictionaryLearning'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('MiniBatchDictionaryLearning', <class 'sklearn.decomposition.dict_learning.MiniBatchDictionaryLearning'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('MiniBatchDictionaryLearning', <class 'sklearn.decomposition.dict_learning.MiniBatchDictionaryLearning'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('MiniBatchDictionaryLearning', <class 'sklearn.decomposition.dict_learning.MiniBatchDictionaryLearning'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('MiniBatchDictionaryLearning', <class 'sklearn.decomposition.dict_learning.MiniBatchDictionaryLearning'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('MiniBatchDictionaryLearning', <class 'sklearn.decomposition.dict_learning.MiniBatchDictionaryLearning'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('MiniBatchDictionaryLearning', <class 'sklearn.decomposition.dict_learning.MiniBatchDictionaryLearning'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('MiniBatchDictionaryLearning', <class 'sklearn.decomposition.dict_learning.MiniBatchDictionaryLearning'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('MiniBatchDictionaryLearning', <class 'sklearn.decomposition.dict_learning.MiniBatchDictionaryLearning'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('MiniBatchDictionaryLearning', <class 'sklearn.decomposition.dict_learning.MiniBatchDictionaryLearning'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('MiniBatchDictionaryLearning', <class 'sklearn.decomposition.dict_learning.MiniBatchDictionaryLearning'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('MiniBatchDictionaryLearning', <class 'sklearn.decomposition.dict_learning.MiniBatchDictionaryLearning'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('MiniBatchDictionaryLearning', <class 'sklearn.decomposition.dict_learning.MiniBatchDictionaryLearning'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('MiniBatchDictionaryLearning', <class 'sklearn.decomposition.dict_learning.MiniBatchDictionaryLearning'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('MiniBatchKMeans', <class 'sklearn.cluster.k_means_.MiniBatchKMeans'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('MiniBatchKMeans', <class 'sklearn.cluster.k_means_.MiniBatchKMeans'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('MiniBatchKMeans', <class 'sklearn.cluster.k_means_.MiniBatchKMeans'>) ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/validation.py:420: DataConversionWarning: Data with input dtype object was converted to float64.
warnings.warn(msg, DataConversionWarning)
ok
sklearn.tests.test_common.test_non_meta_estimators('MiniBatchKMeans', <class 'sklearn.cluster.k_means_.MiniBatchKMeans'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('MiniBatchKMeans', <class 'sklearn.cluster.k_means_.MiniBatchKMeans'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('MiniBatchKMeans', <class 'sklearn.cluster.k_means_.MiniBatchKMeans'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('MiniBatchKMeans', <class 'sklearn.cluster.k_means_.MiniBatchKMeans'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('MiniBatchKMeans', <class 'sklearn.cluster.k_means_.MiniBatchKMeans'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('MiniBatchKMeans', <class 'sklearn.cluster.k_means_.MiniBatchKMeans'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('MiniBatchKMeans', <class 'sklearn.cluster.k_means_.MiniBatchKMeans'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('MiniBatchKMeans', <class 'sklearn.cluster.k_means_.MiniBatchKMeans'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('MiniBatchKMeans', <class 'sklearn.cluster.k_means_.MiniBatchKMeans'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('MiniBatchKMeans', <class 'sklearn.cluster.k_means_.MiniBatchKMeans'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('MiniBatchKMeans', <class 'sklearn.cluster.k_means_.MiniBatchKMeans'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('MiniBatchKMeans', <class 'sklearn.cluster.k_means_.MiniBatchKMeans'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('MiniBatchKMeans', <class 'sklearn.cluster.k_means_.MiniBatchKMeans'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('MiniBatchKMeans', <class 'sklearn.cluster.k_means_.MiniBatchKMeans'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('MiniBatchKMeans', <class 'sklearn.cluster.k_means_.MiniBatchKMeans'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('MiniBatchKMeans', <class 'sklearn.cluster.k_means_.MiniBatchKMeans'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('MiniBatchKMeans', <class 'sklearn.cluster.k_means_.MiniBatchKMeans'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('MiniBatchKMeans', <class 'sklearn.cluster.k_means_.MiniBatchKMeans'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('MiniBatchSparsePCA', <class 'sklearn.decomposition.sparse_pca.MiniBatchSparsePCA'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('MiniBatchSparsePCA', <class 'sklearn.decomposition.sparse_pca.MiniBatchSparsePCA'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('MiniBatchSparsePCA', <class 'sklearn.decomposition.sparse_pca.MiniBatchSparsePCA'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('MiniBatchSparsePCA', <class 'sklearn.decomposition.sparse_pca.MiniBatchSparsePCA'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('MiniBatchSparsePCA', <class 'sklearn.decomposition.sparse_pca.MiniBatchSparsePCA'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('MiniBatchSparsePCA', <class 'sklearn.decomposition.sparse_pca.MiniBatchSparsePCA'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('MiniBatchSparsePCA', <class 'sklearn.decomposition.sparse_pca.MiniBatchSparsePCA'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('MiniBatchSparsePCA', <class 'sklearn.decomposition.sparse_pca.MiniBatchSparsePCA'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('MiniBatchSparsePCA', <class 'sklearn.decomposition.sparse_pca.MiniBatchSparsePCA'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('MiniBatchSparsePCA', <class 'sklearn.decomposition.sparse_pca.MiniBatchSparsePCA'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('MiniBatchSparsePCA', <class 'sklearn.decomposition.sparse_pca.MiniBatchSparsePCA'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('MiniBatchSparsePCA', <class 'sklearn.decomposition.sparse_pca.MiniBatchSparsePCA'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('MiniBatchSparsePCA', <class 'sklearn.decomposition.sparse_pca.MiniBatchSparsePCA'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('MiniBatchSparsePCA', <class 'sklearn.decomposition.sparse_pca.MiniBatchSparsePCA'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('MiniBatchSparsePCA', <class 'sklearn.decomposition.sparse_pca.MiniBatchSparsePCA'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('MiniBatchSparsePCA', <class 'sklearn.decomposition.sparse_pca.MiniBatchSparsePCA'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('MiniBatchSparsePCA', <class 'sklearn.decomposition.sparse_pca.MiniBatchSparsePCA'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('MiniBatchSparsePCA', <class 'sklearn.decomposition.sparse_pca.MiniBatchSparsePCA'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('MultiTaskElasticNet', <class 'sklearn.linear_model.coordinate_descent.MultiTaskElasticNet'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('MultiTaskElasticNet', <class 'sklearn.linear_model.coordinate_descent.MultiTaskElasticNet'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('MultiTaskElasticNet', <class 'sklearn.linear_model.coordinate_descent.MultiTaskElasticNet'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('MultiTaskElasticNet', <class 'sklearn.linear_model.coordinate_descent.MultiTaskElasticNet'>) ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/linear_model/coordinate_descent.py:1687: UserWarning: Objective did not converge, you might want to increase the number of iterations
warnings.warn('Objective did not converge, you might want'
ok
sklearn.tests.test_common.test_non_meta_estimators('MultiTaskElasticNet', <class 'sklearn.linear_model.coordinate_descent.MultiTaskElasticNet'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('MultiTaskElasticNet', <class 'sklearn.linear_model.coordinate_descent.MultiTaskElasticNet'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('MultiTaskElasticNet', <class 'sklearn.linear_model.coordinate_descent.MultiTaskElasticNet'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('MultiTaskElasticNet', <class 'sklearn.linear_model.coordinate_descent.MultiTaskElasticNet'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('MultiTaskElasticNet', <class 'sklearn.linear_model.coordinate_descent.MultiTaskElasticNet'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('MultiTaskElasticNet', <class 'sklearn.linear_model.coordinate_descent.MultiTaskElasticNet'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('MultiTaskElasticNet', <class 'sklearn.linear_model.coordinate_descent.MultiTaskElasticNet'>) ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/linear_model/coordinate_descent.py:1687: UserWarning: Objective did not converge, you might want to increase the number of iterations
warnings.warn('Objective did not converge, you might want'
ok
sklearn.tests.test_common.test_non_meta_estimators('MultiTaskElasticNet', <class 'sklearn.linear_model.coordinate_descent.MultiTaskElasticNet'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('MultiTaskElasticNet', <class 'sklearn.linear_model.coordinate_descent.MultiTaskElasticNet'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('MultiTaskElasticNet', <class 'sklearn.linear_model.coordinate_descent.MultiTaskElasticNet'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('MultiTaskElasticNet', <class 'sklearn.linear_model.coordinate_descent.MultiTaskElasticNet'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('MultiTaskElasticNet', <class 'sklearn.linear_model.coordinate_descent.MultiTaskElasticNet'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('MultiTaskElasticNet', <class 'sklearn.linear_model.coordinate_descent.MultiTaskElasticNet'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('MultiTaskElasticNet', <class 'sklearn.linear_model.coordinate_descent.MultiTaskElasticNet'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('MultiTaskElasticNet', <class 'sklearn.linear_model.coordinate_descent.MultiTaskElasticNet'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('MultiTaskElasticNet', <class 'sklearn.linear_model.coordinate_descent.MultiTaskElasticNet'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('MultiTaskElasticNet', <class 'sklearn.linear_model.coordinate_descent.MultiTaskElasticNet'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('MultiTaskElasticNet', <class 'sklearn.linear_model.coordinate_descent.MultiTaskElasticNet'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('MultiTaskElasticNetCV', <class 'sklearn.linear_model.coordinate_descent.MultiTaskElasticNetCV'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('MultiTaskElasticNetCV', <class 'sklearn.linear_model.coordinate_descent.MultiTaskElasticNetCV'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('MultiTaskElasticNetCV', <class 'sklearn.linear_model.coordinate_descent.MultiTaskElasticNetCV'>) ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/linear_model/coordinate_descent.py:1687: UserWarning: Objective did not converge, you might want to increase the number of iterations
warnings.warn('Objective did not converge, you might want'
ok
sklearn.tests.test_common.test_non_meta_estimators('MultiTaskElasticNetCV', <class 'sklearn.linear_model.coordinate_descent.MultiTaskElasticNetCV'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('MultiTaskElasticNetCV', <class 'sklearn.linear_model.coordinate_descent.MultiTaskElasticNetCV'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('MultiTaskElasticNetCV', <class 'sklearn.linear_model.coordinate_descent.MultiTaskElasticNetCV'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('MultiTaskElasticNetCV', <class 'sklearn.linear_model.coordinate_descent.MultiTaskElasticNetCV'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('MultiTaskElasticNetCV', <class 'sklearn.linear_model.coordinate_descent.MultiTaskElasticNetCV'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('MultiTaskElasticNetCV', <class 'sklearn.linear_model.coordinate_descent.MultiTaskElasticNetCV'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('MultiTaskElasticNetCV', <class 'sklearn.linear_model.coordinate_descent.MultiTaskElasticNetCV'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('MultiTaskElasticNetCV', <class 'sklearn.linear_model.coordinate_descent.MultiTaskElasticNetCV'>) ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/linear_model/coordinate_descent.py:1687: UserWarning: Objective did not converge, you might want to increase the number of iterations
warnings.warn('Objective did not converge, you might want'
ok
sklearn.tests.test_common.test_non_meta_estimators('MultiTaskElasticNetCV', <class 'sklearn.linear_model.coordinate_descent.MultiTaskElasticNetCV'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('MultiTaskElasticNetCV', <class 'sklearn.linear_model.coordinate_descent.MultiTaskElasticNetCV'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('MultiTaskElasticNetCV', <class 'sklearn.linear_model.coordinate_descent.MultiTaskElasticNetCV'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('MultiTaskElasticNetCV', <class 'sklearn.linear_model.coordinate_descent.MultiTaskElasticNetCV'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('MultiTaskElasticNetCV', <class 'sklearn.linear_model.coordinate_descent.MultiTaskElasticNetCV'>) ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/linear_model/coordinate_descent.py:1687: UserWarning: Objective did not converge, you might want to increase the number of iterations
warnings.warn('Objective did not converge, you might want'
ok
sklearn.tests.test_common.test_non_meta_estimators('MultiTaskElasticNetCV', <class 'sklearn.linear_model.coordinate_descent.MultiTaskElasticNetCV'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('MultiTaskElasticNetCV', <class 'sklearn.linear_model.coordinate_descent.MultiTaskElasticNetCV'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('MultiTaskElasticNetCV', <class 'sklearn.linear_model.coordinate_descent.MultiTaskElasticNetCV'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('MultiTaskElasticNetCV', <class 'sklearn.linear_model.coordinate_descent.MultiTaskElasticNetCV'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('MultiTaskElasticNetCV', <class 'sklearn.linear_model.coordinate_descent.MultiTaskElasticNetCV'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('MultiTaskElasticNetCV', <class 'sklearn.linear_model.coordinate_descent.MultiTaskElasticNetCV'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('MultiTaskLasso', <class 'sklearn.linear_model.coordinate_descent.MultiTaskLasso'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('MultiTaskLasso', <class 'sklearn.linear_model.coordinate_descent.MultiTaskLasso'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('MultiTaskLasso', <class 'sklearn.linear_model.coordinate_descent.MultiTaskLasso'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('MultiTaskLasso', <class 'sklearn.linear_model.coordinate_descent.MultiTaskLasso'>) ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/linear_model/coordinate_descent.py:1687: UserWarning: Objective did not converge, you might want to increase the number of iterations
warnings.warn('Objective did not converge, you might want'
ok
sklearn.tests.test_common.test_non_meta_estimators('MultiTaskLasso', <class 'sklearn.linear_model.coordinate_descent.MultiTaskLasso'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('MultiTaskLasso', <class 'sklearn.linear_model.coordinate_descent.MultiTaskLasso'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('MultiTaskLasso', <class 'sklearn.linear_model.coordinate_descent.MultiTaskLasso'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('MultiTaskLasso', <class 'sklearn.linear_model.coordinate_descent.MultiTaskLasso'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('MultiTaskLasso', <class 'sklearn.linear_model.coordinate_descent.MultiTaskLasso'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('MultiTaskLasso', <class 'sklearn.linear_model.coordinate_descent.MultiTaskLasso'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('MultiTaskLasso', <class 'sklearn.linear_model.coordinate_descent.MultiTaskLasso'>) ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/linear_model/coordinate_descent.py:1687: UserWarning: Objective did not converge, you might want to increase the number of iterations
warnings.warn('Objective did not converge, you might want'
ok
sklearn.tests.test_common.test_non_meta_estimators('MultiTaskLasso', <class 'sklearn.linear_model.coordinate_descent.MultiTaskLasso'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('MultiTaskLasso', <class 'sklearn.linear_model.coordinate_descent.MultiTaskLasso'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('MultiTaskLasso', <class 'sklearn.linear_model.coordinate_descent.MultiTaskLasso'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('MultiTaskLasso', <class 'sklearn.linear_model.coordinate_descent.MultiTaskLasso'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('MultiTaskLasso', <class 'sklearn.linear_model.coordinate_descent.MultiTaskLasso'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('MultiTaskLasso', <class 'sklearn.linear_model.coordinate_descent.MultiTaskLasso'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('MultiTaskLasso', <class 'sklearn.linear_model.coordinate_descent.MultiTaskLasso'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('MultiTaskLasso', <class 'sklearn.linear_model.coordinate_descent.MultiTaskLasso'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('MultiTaskLasso', <class 'sklearn.linear_model.coordinate_descent.MultiTaskLasso'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('MultiTaskLasso', <class 'sklearn.linear_model.coordinate_descent.MultiTaskLasso'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('MultiTaskLasso', <class 'sklearn.linear_model.coordinate_descent.MultiTaskLasso'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('MultiTaskLassoCV', <class 'sklearn.linear_model.coordinate_descent.MultiTaskLassoCV'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('MultiTaskLassoCV', <class 'sklearn.linear_model.coordinate_descent.MultiTaskLassoCV'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('MultiTaskLassoCV', <class 'sklearn.linear_model.coordinate_descent.MultiTaskLassoCV'>) ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/linear_model/coordinate_descent.py:1687: UserWarning: Objective did not converge, you might want to increase the number of iterations
warnings.warn('Objective did not converge, you might want'
ok
sklearn.tests.test_common.test_non_meta_estimators('MultiTaskLassoCV', <class 'sklearn.linear_model.coordinate_descent.MultiTaskLassoCV'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('MultiTaskLassoCV', <class 'sklearn.linear_model.coordinate_descent.MultiTaskLassoCV'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('MultiTaskLassoCV', <class 'sklearn.linear_model.coordinate_descent.MultiTaskLassoCV'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('MultiTaskLassoCV', <class 'sklearn.linear_model.coordinate_descent.MultiTaskLassoCV'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('MultiTaskLassoCV', <class 'sklearn.linear_model.coordinate_descent.MultiTaskLassoCV'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('MultiTaskLassoCV', <class 'sklearn.linear_model.coordinate_descent.MultiTaskLassoCV'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('MultiTaskLassoCV', <class 'sklearn.linear_model.coordinate_descent.MultiTaskLassoCV'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('MultiTaskLassoCV', <class 'sklearn.linear_model.coordinate_descent.MultiTaskLassoCV'>) ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/linear_model/coordinate_descent.py:1687: UserWarning: Objective did not converge, you might want to increase the number of iterations
warnings.warn('Objective did not converge, you might want'
ok
sklearn.tests.test_common.test_non_meta_estimators('MultiTaskLassoCV', <class 'sklearn.linear_model.coordinate_descent.MultiTaskLassoCV'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('MultiTaskLassoCV', <class 'sklearn.linear_model.coordinate_descent.MultiTaskLassoCV'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('MultiTaskLassoCV', <class 'sklearn.linear_model.coordinate_descent.MultiTaskLassoCV'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('MultiTaskLassoCV', <class 'sklearn.linear_model.coordinate_descent.MultiTaskLassoCV'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('MultiTaskLassoCV', <class 'sklearn.linear_model.coordinate_descent.MultiTaskLassoCV'>) ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/linear_model/coordinate_descent.py:1687: UserWarning: Objective did not converge, you might want to increase the number of iterations
warnings.warn('Objective did not converge, you might want'
ok
sklearn.tests.test_common.test_non_meta_estimators('MultiTaskLassoCV', <class 'sklearn.linear_model.coordinate_descent.MultiTaskLassoCV'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('MultiTaskLassoCV', <class 'sklearn.linear_model.coordinate_descent.MultiTaskLassoCV'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('MultiTaskLassoCV', <class 'sklearn.linear_model.coordinate_descent.MultiTaskLassoCV'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('MultiTaskLassoCV', <class 'sklearn.linear_model.coordinate_descent.MultiTaskLassoCV'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('MultiTaskLassoCV', <class 'sklearn.linear_model.coordinate_descent.MultiTaskLassoCV'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('MultiTaskLassoCV', <class 'sklearn.linear_model.coordinate_descent.MultiTaskLassoCV'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('MultinomialNB', <class 'sklearn.naive_bayes.MultinomialNB'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('MultinomialNB', <class 'sklearn.naive_bayes.MultinomialNB'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('MultinomialNB', <class 'sklearn.naive_bayes.MultinomialNB'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('MultinomialNB', <class 'sklearn.naive_bayes.MultinomialNB'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('MultinomialNB', <class 'sklearn.naive_bayes.MultinomialNB'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('MultinomialNB', <class 'sklearn.naive_bayes.MultinomialNB'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('MultinomialNB', <class 'sklearn.naive_bayes.MultinomialNB'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('MultinomialNB', <class 'sklearn.naive_bayes.MultinomialNB'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('MultinomialNB', <class 'sklearn.naive_bayes.MultinomialNB'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('MultinomialNB', <class 'sklearn.naive_bayes.MultinomialNB'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('MultinomialNB', <class 'sklearn.naive_bayes.MultinomialNB'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('MultinomialNB', <class 'sklearn.naive_bayes.MultinomialNB'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('MultinomialNB', <class 'sklearn.naive_bayes.MultinomialNB'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('MultinomialNB', <class 'sklearn.naive_bayes.MultinomialNB'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('MultinomialNB', <class 'sklearn.naive_bayes.MultinomialNB'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('MultinomialNB', <class 'sklearn.naive_bayes.MultinomialNB'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('MultinomialNB', <class 'sklearn.naive_bayes.MultinomialNB'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('MultinomialNB', <class 'sklearn.naive_bayes.MultinomialNB'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('MultinomialNB', <class 'sklearn.naive_bayes.MultinomialNB'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('MultinomialNB', <class 'sklearn.naive_bayes.MultinomialNB'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('MultinomialNB', <class 'sklearn.naive_bayes.MultinomialNB'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('MultinomialNB', <class 'sklearn.naive_bayes.MultinomialNB'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('NMF', <class 'sklearn.decomposition.nmf.NMF'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('NMF', <class 'sklearn.decomposition.nmf.NMF'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('NMF', <class 'sklearn.decomposition.nmf.NMF'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('NMF', <class 'sklearn.decomposition.nmf.NMF'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('NMF', <class 'sklearn.decomposition.nmf.NMF'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('NMF', <class 'sklearn.decomposition.nmf.NMF'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('NMF', <class 'sklearn.decomposition.nmf.NMF'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('NMF', <class 'sklearn.decomposition.nmf.NMF'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('NMF', <class 'sklearn.decomposition.nmf.NMF'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('NMF', <class 'sklearn.decomposition.nmf.NMF'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('NMF', <class 'sklearn.decomposition.nmf.NMF'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('NMF', <class 'sklearn.decomposition.nmf.NMF'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('NMF', <class 'sklearn.decomposition.nmf.NMF'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('NMF', <class 'sklearn.decomposition.nmf.NMF'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('NMF', <class 'sklearn.decomposition.nmf.NMF'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('NMF', <class 'sklearn.decomposition.nmf.NMF'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('NMF', <class 'sklearn.decomposition.nmf.NMF'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('NMF', <class 'sklearn.decomposition.nmf.NMF'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('NearestCentroid', <class 'sklearn.neighbors.nearest_centroid.NearestCentroid'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('NearestCentroid', <class 'sklearn.neighbors.nearest_centroid.NearestCentroid'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('NearestCentroid', <class 'sklearn.neighbors.nearest_centroid.NearestCentroid'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('NearestCentroid', <class 'sklearn.neighbors.nearest_centroid.NearestCentroid'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('NearestCentroid', <class 'sklearn.neighbors.nearest_centroid.NearestCentroid'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('NearestCentroid', <class 'sklearn.neighbors.nearest_centroid.NearestCentroid'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('NearestCentroid', <class 'sklearn.neighbors.nearest_centroid.NearestCentroid'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('NearestCentroid', <class 'sklearn.neighbors.nearest_centroid.NearestCentroid'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('NearestCentroid', <class 'sklearn.neighbors.nearest_centroid.NearestCentroid'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('NearestCentroid', <class 'sklearn.neighbors.nearest_centroid.NearestCentroid'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('NearestCentroid', <class 'sklearn.neighbors.nearest_centroid.NearestCentroid'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('NearestCentroid', <class 'sklearn.neighbors.nearest_centroid.NearestCentroid'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('NearestCentroid', <class 'sklearn.neighbors.nearest_centroid.NearestCentroid'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('NearestCentroid', <class 'sklearn.neighbors.nearest_centroid.NearestCentroid'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('NearestCentroid', <class 'sklearn.neighbors.nearest_centroid.NearestCentroid'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('NearestCentroid', <class 'sklearn.neighbors.nearest_centroid.NearestCentroid'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('NearestCentroid', <class 'sklearn.neighbors.nearest_centroid.NearestCentroid'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('NearestCentroid', <class 'sklearn.neighbors.nearest_centroid.NearestCentroid'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('NearestCentroid', <class 'sklearn.neighbors.nearest_centroid.NearestCentroid'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('NearestCentroid', <class 'sklearn.neighbors.nearest_centroid.NearestCentroid'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('NearestCentroid', <class 'sklearn.neighbors.nearest_centroid.NearestCentroid'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('NearestCentroid', <class 'sklearn.neighbors.nearest_centroid.NearestCentroid'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('NearestCentroid', <class 'sklearn.neighbors.nearest_centroid.NearestCentroid'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('NearestNeighbors', <class 'sklearn.neighbors.unsupervised.NearestNeighbors'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('NearestNeighbors', <class 'sklearn.neighbors.unsupervised.NearestNeighbors'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('NearestNeighbors', <class 'sklearn.neighbors.unsupervised.NearestNeighbors'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('NearestNeighbors', <class 'sklearn.neighbors.unsupervised.NearestNeighbors'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('NearestNeighbors', <class 'sklearn.neighbors.unsupervised.NearestNeighbors'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('NearestNeighbors', <class 'sklearn.neighbors.unsupervised.NearestNeighbors'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('NearestNeighbors', <class 'sklearn.neighbors.unsupervised.NearestNeighbors'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('NearestNeighbors', <class 'sklearn.neighbors.unsupervised.NearestNeighbors'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('NearestNeighbors', <class 'sklearn.neighbors.unsupervised.NearestNeighbors'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('NearestNeighbors', <class 'sklearn.neighbors.unsupervised.NearestNeighbors'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('NearestNeighbors', <class 'sklearn.neighbors.unsupervised.NearestNeighbors'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('NearestNeighbors', <class 'sklearn.neighbors.unsupervised.NearestNeighbors'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('NearestNeighbors', <class 'sklearn.neighbors.unsupervised.NearestNeighbors'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('NearestNeighbors', <class 'sklearn.neighbors.unsupervised.NearestNeighbors'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('NearestNeighbors', <class 'sklearn.neighbors.unsupervised.NearestNeighbors'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('Normalizer', <class 'sklearn.preprocessing.data.Normalizer'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('Normalizer', <class 'sklearn.preprocessing.data.Normalizer'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('Normalizer', <class 'sklearn.preprocessing.data.Normalizer'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('Normalizer', <class 'sklearn.preprocessing.data.Normalizer'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('Normalizer', <class 'sklearn.preprocessing.data.Normalizer'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('Normalizer', <class 'sklearn.preprocessing.data.Normalizer'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('Normalizer', <class 'sklearn.preprocessing.data.Normalizer'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('Normalizer', <class 'sklearn.preprocessing.data.Normalizer'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('Normalizer', <class 'sklearn.preprocessing.data.Normalizer'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('Normalizer', <class 'sklearn.preprocessing.data.Normalizer'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('Normalizer', <class 'sklearn.preprocessing.data.Normalizer'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('Normalizer', <class 'sklearn.preprocessing.data.Normalizer'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('Normalizer', <class 'sklearn.preprocessing.data.Normalizer'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('Normalizer', <class 'sklearn.preprocessing.data.Normalizer'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('Normalizer', <class 'sklearn.preprocessing.data.Normalizer'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('NuSVC', <class 'sklearn.svm.classes.NuSVC'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('NuSVC', <class 'sklearn.svm.classes.NuSVC'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('NuSVC', <class 'sklearn.svm.classes.NuSVC'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('NuSVC', <class 'sklearn.svm.classes.NuSVC'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('NuSVC', <class 'sklearn.svm.classes.NuSVC'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('NuSVC', <class 'sklearn.svm.classes.NuSVC'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('NuSVC', <class 'sklearn.svm.classes.NuSVC'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('NuSVC', <class 'sklearn.svm.classes.NuSVC'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('NuSVC', <class 'sklearn.svm.classes.NuSVC'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('NuSVC', <class 'sklearn.svm.classes.NuSVC'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('NuSVC', <class 'sklearn.svm.classes.NuSVC'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('NuSVC', <class 'sklearn.svm.classes.NuSVC'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('NuSVC', <class 'sklearn.svm.classes.NuSVC'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('NuSVC', <class 'sklearn.svm.classes.NuSVC'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('NuSVC', <class 'sklearn.svm.classes.NuSVC'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('NuSVC', <class 'sklearn.svm.classes.NuSVC'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('NuSVC', <class 'sklearn.svm.classes.NuSVC'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('NuSVC', <class 'sklearn.svm.classes.NuSVC'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('NuSVC', <class 'sklearn.svm.classes.NuSVC'>) ... SKIP
sklearn.tests.test_common.test_non_meta_estimators('NuSVC', <class 'sklearn.svm.classes.NuSVC'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('NuSVC', <class 'sklearn.svm.classes.NuSVC'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('NuSVC', <class 'sklearn.svm.classes.NuSVC'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('NuSVC', <class 'sklearn.svm.classes.NuSVC'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('NuSVC', <class 'sklearn.svm.classes.NuSVC'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('NuSVR', <class 'sklearn.svm.classes.NuSVR'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('NuSVR', <class 'sklearn.svm.classes.NuSVR'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('NuSVR', <class 'sklearn.svm.classes.NuSVR'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('NuSVR', <class 'sklearn.svm.classes.NuSVR'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('NuSVR', <class 'sklearn.svm.classes.NuSVR'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('NuSVR', <class 'sklearn.svm.classes.NuSVR'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('NuSVR', <class 'sklearn.svm.classes.NuSVR'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('NuSVR', <class 'sklearn.svm.classes.NuSVR'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('NuSVR', <class 'sklearn.svm.classes.NuSVR'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('NuSVR', <class 'sklearn.svm.classes.NuSVR'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('NuSVR', <class 'sklearn.svm.classes.NuSVR'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('NuSVR', <class 'sklearn.svm.classes.NuSVR'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('NuSVR', <class 'sklearn.svm.classes.NuSVR'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('NuSVR', <class 'sklearn.svm.classes.NuSVR'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('NuSVR', <class 'sklearn.svm.classes.NuSVR'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('NuSVR', <class 'sklearn.svm.classes.NuSVR'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('NuSVR', <class 'sklearn.svm.classes.NuSVR'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('NuSVR', <class 'sklearn.svm.classes.NuSVR'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('NuSVR', <class 'sklearn.svm.classes.NuSVR'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('NuSVR', <class 'sklearn.svm.classes.NuSVR'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('NuSVR', <class 'sklearn.svm.classes.NuSVR'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('NuSVR', <class 'sklearn.svm.classes.NuSVR'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('Nystroem', <class 'sklearn.kernel_approximation.Nystroem'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('Nystroem', <class 'sklearn.kernel_approximation.Nystroem'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('Nystroem', <class 'sklearn.kernel_approximation.Nystroem'>) ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/kernel_approximation.py:463: 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
sklearn.tests.test_common.test_non_meta_estimators('Nystroem', <class 'sklearn.kernel_approximation.Nystroem'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('Nystroem', <class 'sklearn.kernel_approximation.Nystroem'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('Nystroem', <class 'sklearn.kernel_approximation.Nystroem'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('Nystroem', <class 'sklearn.kernel_approximation.Nystroem'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('Nystroem', <class 'sklearn.kernel_approximation.Nystroem'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('Nystroem', <class 'sklearn.kernel_approximation.Nystroem'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('Nystroem', <class 'sklearn.kernel_approximation.Nystroem'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('Nystroem', <class 'sklearn.kernel_approximation.Nystroem'>) ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/kernel_approximation.py:463: 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
sklearn.tests.test_common.test_non_meta_estimators('Nystroem', <class 'sklearn.kernel_approximation.Nystroem'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('Nystroem', <class 'sklearn.kernel_approximation.Nystroem'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('Nystroem', <class 'sklearn.kernel_approximation.Nystroem'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('Nystroem', <class 'sklearn.kernel_approximation.Nystroem'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('Nystroem', <class 'sklearn.kernel_approximation.Nystroem'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('Nystroem', <class 'sklearn.kernel_approximation.Nystroem'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('Nystroem', <class 'sklearn.kernel_approximation.Nystroem'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('OAS', <class 'sklearn.covariance.shrunk_covariance_.OAS'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('OAS', <class 'sklearn.covariance.shrunk_covariance_.OAS'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('OAS', <class 'sklearn.covariance.shrunk_covariance_.OAS'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('OAS', <class 'sklearn.covariance.shrunk_covariance_.OAS'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('OAS', <class 'sklearn.covariance.shrunk_covariance_.OAS'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('OAS', <class 'sklearn.covariance.shrunk_covariance_.OAS'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('OAS', <class 'sklearn.covariance.shrunk_covariance_.OAS'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('OAS', <class 'sklearn.covariance.shrunk_covariance_.OAS'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('OAS', <class 'sklearn.covariance.shrunk_covariance_.OAS'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('OAS', <class 'sklearn.covariance.shrunk_covariance_.OAS'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('OAS', <class 'sklearn.covariance.shrunk_covariance_.OAS'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('OAS', <class 'sklearn.covariance.shrunk_covariance_.OAS'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('OAS', <class 'sklearn.covariance.shrunk_covariance_.OAS'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('OAS', <class 'sklearn.covariance.shrunk_covariance_.OAS'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('OAS', <class 'sklearn.covariance.shrunk_covariance_.OAS'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('OneClassSVM', <class 'sklearn.svm.classes.OneClassSVM'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('OneClassSVM', <class 'sklearn.svm.classes.OneClassSVM'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('OneClassSVM', <class 'sklearn.svm.classes.OneClassSVM'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('OneClassSVM', <class 'sklearn.svm.classes.OneClassSVM'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('OneClassSVM', <class 'sklearn.svm.classes.OneClassSVM'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('OneClassSVM', <class 'sklearn.svm.classes.OneClassSVM'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('OneClassSVM', <class 'sklearn.svm.classes.OneClassSVM'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('OneClassSVM', <class 'sklearn.svm.classes.OneClassSVM'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('OneClassSVM', <class 'sklearn.svm.classes.OneClassSVM'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('OneClassSVM', <class 'sklearn.svm.classes.OneClassSVM'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('OneClassSVM', <class 'sklearn.svm.classes.OneClassSVM'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('OneClassSVM', <class 'sklearn.svm.classes.OneClassSVM'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('OneClassSVM', <class 'sklearn.svm.classes.OneClassSVM'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('OneClassSVM', <class 'sklearn.svm.classes.OneClassSVM'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('OneClassSVM', <class 'sklearn.svm.classes.OneClassSVM'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('OrthogonalMatchingPursuit', <class 'sklearn.linear_model.omp.OrthogonalMatchingPursuit'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('OrthogonalMatchingPursuit', <class 'sklearn.linear_model.omp.OrthogonalMatchingPursuit'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('OrthogonalMatchingPursuit', <class 'sklearn.linear_model.omp.OrthogonalMatchingPursuit'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('OrthogonalMatchingPursuit', <class 'sklearn.linear_model.omp.OrthogonalMatchingPursuit'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('OrthogonalMatchingPursuit', <class 'sklearn.linear_model.omp.OrthogonalMatchingPursuit'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('OrthogonalMatchingPursuit', <class 'sklearn.linear_model.omp.OrthogonalMatchingPursuit'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('OrthogonalMatchingPursuit', <class 'sklearn.linear_model.omp.OrthogonalMatchingPursuit'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('OrthogonalMatchingPursuit', <class 'sklearn.linear_model.omp.OrthogonalMatchingPursuit'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('OrthogonalMatchingPursuit', <class 'sklearn.linear_model.omp.OrthogonalMatchingPursuit'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('OrthogonalMatchingPursuit', <class 'sklearn.linear_model.omp.OrthogonalMatchingPursuit'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('OrthogonalMatchingPursuit', <class 'sklearn.linear_model.omp.OrthogonalMatchingPursuit'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('OrthogonalMatchingPursuit', <class 'sklearn.linear_model.omp.OrthogonalMatchingPursuit'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('OrthogonalMatchingPursuit', <class 'sklearn.linear_model.omp.OrthogonalMatchingPursuit'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('OrthogonalMatchingPursuit', <class 'sklearn.linear_model.omp.OrthogonalMatchingPursuit'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('OrthogonalMatchingPursuit', <class 'sklearn.linear_model.omp.OrthogonalMatchingPursuit'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('OrthogonalMatchingPursuit', <class 'sklearn.linear_model.omp.OrthogonalMatchingPursuit'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('OrthogonalMatchingPursuit', <class 'sklearn.linear_model.omp.OrthogonalMatchingPursuit'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('OrthogonalMatchingPursuit', <class 'sklearn.linear_model.omp.OrthogonalMatchingPursuit'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('OrthogonalMatchingPursuit', <class 'sklearn.linear_model.omp.OrthogonalMatchingPursuit'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('OrthogonalMatchingPursuit', <class 'sklearn.linear_model.omp.OrthogonalMatchingPursuit'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('OrthogonalMatchingPursuit', <class 'sklearn.linear_model.omp.OrthogonalMatchingPursuit'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('OrthogonalMatchingPursuit', <class 'sklearn.linear_model.omp.OrthogonalMatchingPursuit'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('OrthogonalMatchingPursuitCV', <class 'sklearn.linear_model.omp.OrthogonalMatchingPursuitCV'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('OrthogonalMatchingPursuitCV', <class 'sklearn.linear_model.omp.OrthogonalMatchingPursuitCV'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('OrthogonalMatchingPursuitCV', <class 'sklearn.linear_model.omp.OrthogonalMatchingPursuitCV'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('OrthogonalMatchingPursuitCV', <class 'sklearn.linear_model.omp.OrthogonalMatchingPursuitCV'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('OrthogonalMatchingPursuitCV', <class 'sklearn.linear_model.omp.OrthogonalMatchingPursuitCV'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('OrthogonalMatchingPursuitCV', <class 'sklearn.linear_model.omp.OrthogonalMatchingPursuitCV'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('OrthogonalMatchingPursuitCV', <class 'sklearn.linear_model.omp.OrthogonalMatchingPursuitCV'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('OrthogonalMatchingPursuitCV', <class 'sklearn.linear_model.omp.OrthogonalMatchingPursuitCV'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('OrthogonalMatchingPursuitCV', <class 'sklearn.linear_model.omp.OrthogonalMatchingPursuitCV'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('OrthogonalMatchingPursuitCV', <class 'sklearn.linear_model.omp.OrthogonalMatchingPursuitCV'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('OrthogonalMatchingPursuitCV', <class 'sklearn.linear_model.omp.OrthogonalMatchingPursuitCV'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('OrthogonalMatchingPursuitCV', <class 'sklearn.linear_model.omp.OrthogonalMatchingPursuitCV'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('OrthogonalMatchingPursuitCV', <class 'sklearn.linear_model.omp.OrthogonalMatchingPursuitCV'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('OrthogonalMatchingPursuitCV', <class 'sklearn.linear_model.omp.OrthogonalMatchingPursuitCV'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('OrthogonalMatchingPursuitCV', <class 'sklearn.linear_model.omp.OrthogonalMatchingPursuitCV'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('OrthogonalMatchingPursuitCV', <class 'sklearn.linear_model.omp.OrthogonalMatchingPursuitCV'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('OrthogonalMatchingPursuitCV', <class 'sklearn.linear_model.omp.OrthogonalMatchingPursuitCV'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('OrthogonalMatchingPursuitCV', <class 'sklearn.linear_model.omp.OrthogonalMatchingPursuitCV'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('OrthogonalMatchingPursuitCV', <class 'sklearn.linear_model.omp.OrthogonalMatchingPursuitCV'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('OrthogonalMatchingPursuitCV', <class 'sklearn.linear_model.omp.OrthogonalMatchingPursuitCV'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('OrthogonalMatchingPursuitCV', <class 'sklearn.linear_model.omp.OrthogonalMatchingPursuitCV'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('OrthogonalMatchingPursuitCV', <class 'sklearn.linear_model.omp.OrthogonalMatchingPursuitCV'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('PCA', <class 'sklearn.decomposition.pca.PCA'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('PCA', <class 'sklearn.decomposition.pca.PCA'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('PCA', <class 'sklearn.decomposition.pca.PCA'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('PCA', <class 'sklearn.decomposition.pca.PCA'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('PCA', <class 'sklearn.decomposition.pca.PCA'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('PCA', <class 'sklearn.decomposition.pca.PCA'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('PCA', <class 'sklearn.decomposition.pca.PCA'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('PCA', <class 'sklearn.decomposition.pca.PCA'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('PCA', <class 'sklearn.decomposition.pca.PCA'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('PCA', <class 'sklearn.decomposition.pca.PCA'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('PCA', <class 'sklearn.decomposition.pca.PCA'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('PCA', <class 'sklearn.decomposition.pca.PCA'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('PCA', <class 'sklearn.decomposition.pca.PCA'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('PCA', <class 'sklearn.decomposition.pca.PCA'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('PCA', <class 'sklearn.decomposition.pca.PCA'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('PCA', <class 'sklearn.decomposition.pca.PCA'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('PCA', <class 'sklearn.decomposition.pca.PCA'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('PCA', <class 'sklearn.decomposition.pca.PCA'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('PLSCanonical', <class 'sklearn.cross_decomposition.pls_.PLSCanonical'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('PLSCanonical', <class 'sklearn.cross_decomposition.pls_.PLSCanonical'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('PLSCanonical', <class 'sklearn.cross_decomposition.pls_.PLSCanonical'>) ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cross_decomposition/pls_.py:288: UserWarning: Y residual constant at iteration 1
warnings.warn('Y residual constant at iteration %s' % k)
ok
sklearn.tests.test_common.test_non_meta_estimators('PLSCanonical', <class 'sklearn.cross_decomposition.pls_.PLSCanonical'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('PLSCanonical', <class 'sklearn.cross_decomposition.pls_.PLSCanonical'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('PLSCanonical', <class 'sklearn.cross_decomposition.pls_.PLSCanonical'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('PLSCanonical', <class 'sklearn.cross_decomposition.pls_.PLSCanonical'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('PLSCanonical', <class 'sklearn.cross_decomposition.pls_.PLSCanonical'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('PLSCanonical', <class 'sklearn.cross_decomposition.pls_.PLSCanonical'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('PLSCanonical', <class 'sklearn.cross_decomposition.pls_.PLSCanonical'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('PLSCanonical', <class 'sklearn.cross_decomposition.pls_.PLSCanonical'>) ... SKIP
sklearn.tests.test_common.test_non_meta_estimators('PLSCanonical', <class 'sklearn.cross_decomposition.pls_.PLSCanonical'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('PLSCanonical', <class 'sklearn.cross_decomposition.pls_.PLSCanonical'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('PLSCanonical', <class 'sklearn.cross_decomposition.pls_.PLSCanonical'>) ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cross_decomposition/pls_.py:288: UserWarning: Y residual constant at iteration 1
warnings.warn('Y residual constant at iteration %s' % k)
ok
sklearn.tests.test_common.test_non_meta_estimators('PLSCanonical', <class 'sklearn.cross_decomposition.pls_.PLSCanonical'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('PLSCanonical', <class 'sklearn.cross_decomposition.pls_.PLSCanonical'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('PLSCanonical', <class 'sklearn.cross_decomposition.pls_.PLSCanonical'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('PLSCanonical', <class 'sklearn.cross_decomposition.pls_.PLSCanonical'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('PLSCanonical', <class 'sklearn.cross_decomposition.pls_.PLSCanonical'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('PLSCanonical', <class 'sklearn.cross_decomposition.pls_.PLSCanonical'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('PLSCanonical', <class 'sklearn.cross_decomposition.pls_.PLSCanonical'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('PLSCanonical', <class 'sklearn.cross_decomposition.pls_.PLSCanonical'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('PLSCanonical', <class 'sklearn.cross_decomposition.pls_.PLSCanonical'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('PLSRegression', <class 'sklearn.cross_decomposition.pls_.PLSRegression'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('PLSRegression', <class 'sklearn.cross_decomposition.pls_.PLSRegression'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('PLSRegression', <class 'sklearn.cross_decomposition.pls_.PLSRegression'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('PLSRegression', <class 'sklearn.cross_decomposition.pls_.PLSRegression'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('PLSRegression', <class 'sklearn.cross_decomposition.pls_.PLSRegression'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('PLSRegression', <class 'sklearn.cross_decomposition.pls_.PLSRegression'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('PLSRegression', <class 'sklearn.cross_decomposition.pls_.PLSRegression'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('PLSRegression', <class 'sklearn.cross_decomposition.pls_.PLSRegression'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('PLSRegression', <class 'sklearn.cross_decomposition.pls_.PLSRegression'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('PLSRegression', <class 'sklearn.cross_decomposition.pls_.PLSRegression'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('PLSRegression', <class 'sklearn.cross_decomposition.pls_.PLSRegression'>) ... SKIP
sklearn.tests.test_common.test_non_meta_estimators('PLSRegression', <class 'sklearn.cross_decomposition.pls_.PLSRegression'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('PLSRegression', <class 'sklearn.cross_decomposition.pls_.PLSRegression'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('PLSRegression', <class 'sklearn.cross_decomposition.pls_.PLSRegression'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('PLSRegression', <class 'sklearn.cross_decomposition.pls_.PLSRegression'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('PLSRegression', <class 'sklearn.cross_decomposition.pls_.PLSRegression'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('PLSRegression', <class 'sklearn.cross_decomposition.pls_.PLSRegression'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('PLSRegression', <class 'sklearn.cross_decomposition.pls_.PLSRegression'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('PLSRegression', <class 'sklearn.cross_decomposition.pls_.PLSRegression'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('PLSRegression', <class 'sklearn.cross_decomposition.pls_.PLSRegression'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('PLSRegression', <class 'sklearn.cross_decomposition.pls_.PLSRegression'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('PLSRegression', <class 'sklearn.cross_decomposition.pls_.PLSRegression'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('PLSRegression', <class 'sklearn.cross_decomposition.pls_.PLSRegression'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('PLSSVD', <class 'sklearn.cross_decomposition.pls_.PLSSVD'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('PLSSVD', <class 'sklearn.cross_decomposition.pls_.PLSSVD'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('PLSSVD', <class 'sklearn.cross_decomposition.pls_.PLSSVD'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('PLSSVD', <class 'sklearn.cross_decomposition.pls_.PLSSVD'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('PLSSVD', <class 'sklearn.cross_decomposition.pls_.PLSSVD'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('PLSSVD', <class 'sklearn.cross_decomposition.pls_.PLSSVD'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('PLSSVD', <class 'sklearn.cross_decomposition.pls_.PLSSVD'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('PLSSVD', <class 'sklearn.cross_decomposition.pls_.PLSSVD'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('PLSSVD', <class 'sklearn.cross_decomposition.pls_.PLSSVD'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('PLSSVD', <class 'sklearn.cross_decomposition.pls_.PLSSVD'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('PLSSVD', <class 'sklearn.cross_decomposition.pls_.PLSSVD'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('PLSSVD', <class 'sklearn.cross_decomposition.pls_.PLSSVD'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('PLSSVD', <class 'sklearn.cross_decomposition.pls_.PLSSVD'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('PLSSVD', <class 'sklearn.cross_decomposition.pls_.PLSSVD'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('PLSSVD', <class 'sklearn.cross_decomposition.pls_.PLSSVD'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('PLSSVD', <class 'sklearn.cross_decomposition.pls_.PLSSVD'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('PassiveAggressiveClassifier', <class 'sklearn.linear_model.passive_aggressive.PassiveAggressiveClassifier'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('PassiveAggressiveClassifier', <class 'sklearn.linear_model.passive_aggressive.PassiveAggressiveClassifier'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('PassiveAggressiveClassifier', <class 'sklearn.linear_model.passive_aggressive.PassiveAggressiveClassifier'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('PassiveAggressiveClassifier', <class 'sklearn.linear_model.passive_aggressive.PassiveAggressiveClassifier'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('PassiveAggressiveClassifier', <class 'sklearn.linear_model.passive_aggressive.PassiveAggressiveClassifier'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('PassiveAggressiveClassifier', <class 'sklearn.linear_model.passive_aggressive.PassiveAggressiveClassifier'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('PassiveAggressiveClassifier', <class 'sklearn.linear_model.passive_aggressive.PassiveAggressiveClassifier'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('PassiveAggressiveClassifier', <class 'sklearn.linear_model.passive_aggressive.PassiveAggressiveClassifier'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('PassiveAggressiveClassifier', <class 'sklearn.linear_model.passive_aggressive.PassiveAggressiveClassifier'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('PassiveAggressiveClassifier', <class 'sklearn.linear_model.passive_aggressive.PassiveAggressiveClassifier'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('PassiveAggressiveClassifier', <class 'sklearn.linear_model.passive_aggressive.PassiveAggressiveClassifier'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('PassiveAggressiveClassifier', <class 'sklearn.linear_model.passive_aggressive.PassiveAggressiveClassifier'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('PassiveAggressiveClassifier', <class 'sklearn.linear_model.passive_aggressive.PassiveAggressiveClassifier'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('PassiveAggressiveClassifier', <class 'sklearn.linear_model.passive_aggressive.PassiveAggressiveClassifier'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('PassiveAggressiveClassifier', <class 'sklearn.linear_model.passive_aggressive.PassiveAggressiveClassifier'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('PassiveAggressiveClassifier', <class 'sklearn.linear_model.passive_aggressive.PassiveAggressiveClassifier'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('PassiveAggressiveClassifier', <class 'sklearn.linear_model.passive_aggressive.PassiveAggressiveClassifier'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('PassiveAggressiveClassifier', <class 'sklearn.linear_model.passive_aggressive.PassiveAggressiveClassifier'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('PassiveAggressiveClassifier', <class 'sklearn.linear_model.passive_aggressive.PassiveAggressiveClassifier'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('PassiveAggressiveClassifier', <class 'sklearn.linear_model.passive_aggressive.PassiveAggressiveClassifier'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('PassiveAggressiveClassifier', <class 'sklearn.linear_model.passive_aggressive.PassiveAggressiveClassifier'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('PassiveAggressiveClassifier', <class 'sklearn.linear_model.passive_aggressive.PassiveAggressiveClassifier'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('PassiveAggressiveClassifier', <class 'sklearn.linear_model.passive_aggressive.PassiveAggressiveClassifier'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('PassiveAggressiveClassifier', <class 'sklearn.linear_model.passive_aggressive.PassiveAggressiveClassifier'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('PassiveAggressiveClassifier', <class 'sklearn.linear_model.passive_aggressive.PassiveAggressiveClassifier'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('PassiveAggressiveRegressor', <class 'sklearn.linear_model.passive_aggressive.PassiveAggressiveRegressor'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('PassiveAggressiveRegressor', <class 'sklearn.linear_model.passive_aggressive.PassiveAggressiveRegressor'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('PassiveAggressiveRegressor', <class 'sklearn.linear_model.passive_aggressive.PassiveAggressiveRegressor'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('PassiveAggressiveRegressor', <class 'sklearn.linear_model.passive_aggressive.PassiveAggressiveRegressor'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('PassiveAggressiveRegressor', <class 'sklearn.linear_model.passive_aggressive.PassiveAggressiveRegressor'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('PassiveAggressiveRegressor', <class 'sklearn.linear_model.passive_aggressive.PassiveAggressiveRegressor'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('PassiveAggressiveRegressor', <class 'sklearn.linear_model.passive_aggressive.PassiveAggressiveRegressor'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('PassiveAggressiveRegressor', <class 'sklearn.linear_model.passive_aggressive.PassiveAggressiveRegressor'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('PassiveAggressiveRegressor', <class 'sklearn.linear_model.passive_aggressive.PassiveAggressiveRegressor'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('PassiveAggressiveRegressor', <class 'sklearn.linear_model.passive_aggressive.PassiveAggressiveRegressor'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('PassiveAggressiveRegressor', <class 'sklearn.linear_model.passive_aggressive.PassiveAggressiveRegressor'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('PassiveAggressiveRegressor', <class 'sklearn.linear_model.passive_aggressive.PassiveAggressiveRegressor'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('PassiveAggressiveRegressor', <class 'sklearn.linear_model.passive_aggressive.PassiveAggressiveRegressor'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('PassiveAggressiveRegressor', <class 'sklearn.linear_model.passive_aggressive.PassiveAggressiveRegressor'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('PassiveAggressiveRegressor', <class 'sklearn.linear_model.passive_aggressive.PassiveAggressiveRegressor'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('PassiveAggressiveRegressor', <class 'sklearn.linear_model.passive_aggressive.PassiveAggressiveRegressor'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('PassiveAggressiveRegressor', <class 'sklearn.linear_model.passive_aggressive.PassiveAggressiveRegressor'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('PassiveAggressiveRegressor', <class 'sklearn.linear_model.passive_aggressive.PassiveAggressiveRegressor'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('PassiveAggressiveRegressor', <class 'sklearn.linear_model.passive_aggressive.PassiveAggressiveRegressor'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('PassiveAggressiveRegressor', <class 'sklearn.linear_model.passive_aggressive.PassiveAggressiveRegressor'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('PassiveAggressiveRegressor', <class 'sklearn.linear_model.passive_aggressive.PassiveAggressiveRegressor'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('PassiveAggressiveRegressor', <class 'sklearn.linear_model.passive_aggressive.PassiveAggressiveRegressor'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('PassiveAggressiveRegressor', <class 'sklearn.linear_model.passive_aggressive.PassiveAggressiveRegressor'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('Perceptron', <class 'sklearn.linear_model.perceptron.Perceptron'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('Perceptron', <class 'sklearn.linear_model.perceptron.Perceptron'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('Perceptron', <class 'sklearn.linear_model.perceptron.Perceptron'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('Perceptron', <class 'sklearn.linear_model.perceptron.Perceptron'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('Perceptron', <class 'sklearn.linear_model.perceptron.Perceptron'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('Perceptron', <class 'sklearn.linear_model.perceptron.Perceptron'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('Perceptron', <class 'sklearn.linear_model.perceptron.Perceptron'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('Perceptron', <class 'sklearn.linear_model.perceptron.Perceptron'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('Perceptron', <class 'sklearn.linear_model.perceptron.Perceptron'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('Perceptron', <class 'sklearn.linear_model.perceptron.Perceptron'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('Perceptron', <class 'sklearn.linear_model.perceptron.Perceptron'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('Perceptron', <class 'sklearn.linear_model.perceptron.Perceptron'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('Perceptron', <class 'sklearn.linear_model.perceptron.Perceptron'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('Perceptron', <class 'sklearn.linear_model.perceptron.Perceptron'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('Perceptron', <class 'sklearn.linear_model.perceptron.Perceptron'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('Perceptron', <class 'sklearn.linear_model.perceptron.Perceptron'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('Perceptron', <class 'sklearn.linear_model.perceptron.Perceptron'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('Perceptron', <class 'sklearn.linear_model.perceptron.Perceptron'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('Perceptron', <class 'sklearn.linear_model.perceptron.Perceptron'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('Perceptron', <class 'sklearn.linear_model.perceptron.Perceptron'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('Perceptron', <class 'sklearn.linear_model.perceptron.Perceptron'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('Perceptron', <class 'sklearn.linear_model.perceptron.Perceptron'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('Perceptron', <class 'sklearn.linear_model.perceptron.Perceptron'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('Perceptron', <class 'sklearn.linear_model.perceptron.Perceptron'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('Perceptron', <class 'sklearn.linear_model.perceptron.Perceptron'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('ProjectedGradientNMF', <class 'sklearn.decomposition.nmf.ProjectedGradientNMF'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('ProjectedGradientNMF', <class 'sklearn.decomposition.nmf.ProjectedGradientNMF'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('ProjectedGradientNMF', <class 'sklearn.decomposition.nmf.ProjectedGradientNMF'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('ProjectedGradientNMF', <class 'sklearn.decomposition.nmf.ProjectedGradientNMF'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('ProjectedGradientNMF', <class 'sklearn.decomposition.nmf.ProjectedGradientNMF'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('ProjectedGradientNMF', <class 'sklearn.decomposition.nmf.ProjectedGradientNMF'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('ProjectedGradientNMF', <class 'sklearn.decomposition.nmf.ProjectedGradientNMF'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('ProjectedGradientNMF', <class 'sklearn.decomposition.nmf.ProjectedGradientNMF'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('ProjectedGradientNMF', <class 'sklearn.decomposition.nmf.ProjectedGradientNMF'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('ProjectedGradientNMF', <class 'sklearn.decomposition.nmf.ProjectedGradientNMF'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('ProjectedGradientNMF', <class 'sklearn.decomposition.nmf.ProjectedGradientNMF'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('ProjectedGradientNMF', <class 'sklearn.decomposition.nmf.ProjectedGradientNMF'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('ProjectedGradientNMF', <class 'sklearn.decomposition.nmf.ProjectedGradientNMF'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('ProjectedGradientNMF', <class 'sklearn.decomposition.nmf.ProjectedGradientNMF'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('ProjectedGradientNMF', <class 'sklearn.decomposition.nmf.ProjectedGradientNMF'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('ProjectedGradientNMF', <class 'sklearn.decomposition.nmf.ProjectedGradientNMF'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('ProjectedGradientNMF', <class 'sklearn.decomposition.nmf.ProjectedGradientNMF'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('ProjectedGradientNMF', <class 'sklearn.decomposition.nmf.ProjectedGradientNMF'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('QDA', <class 'sklearn.discriminant_analysis.QuadraticDiscriminantAnalysis'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('QDA', <class 'sklearn.discriminant_analysis.QuadraticDiscriminantAnalysis'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('QDA', <class 'sklearn.discriminant_analysis.QuadraticDiscriminantAnalysis'>) ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/discriminant_analysis.py:688: UserWarning: Variables are collinear
warnings.warn("Variables are collinear")
ok
sklearn.tests.test_common.test_non_meta_estimators('QDA', <class 'sklearn.discriminant_analysis.QuadraticDiscriminantAnalysis'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('QDA', <class 'sklearn.discriminant_analysis.QuadraticDiscriminantAnalysis'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('QDA', <class 'sklearn.discriminant_analysis.QuadraticDiscriminantAnalysis'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('QDA', <class 'sklearn.discriminant_analysis.QuadraticDiscriminantAnalysis'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('QDA', <class 'sklearn.discriminant_analysis.QuadraticDiscriminantAnalysis'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('QDA', <class 'sklearn.discriminant_analysis.QuadraticDiscriminantAnalysis'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('QDA', <class 'sklearn.discriminant_analysis.QuadraticDiscriminantAnalysis'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('QDA', <class 'sklearn.discriminant_analysis.QuadraticDiscriminantAnalysis'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('QDA', <class 'sklearn.discriminant_analysis.QuadraticDiscriminantAnalysis'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('QDA', <class 'sklearn.discriminant_analysis.QuadraticDiscriminantAnalysis'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('QDA', <class 'sklearn.discriminant_analysis.QuadraticDiscriminantAnalysis'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('QDA', <class 'sklearn.discriminant_analysis.QuadraticDiscriminantAnalysis'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('QDA', <class 'sklearn.discriminant_analysis.QuadraticDiscriminantAnalysis'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('QDA', <class 'sklearn.discriminant_analysis.QuadraticDiscriminantAnalysis'>) ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/discriminant_analysis.py:688: UserWarning: Variables are collinear
warnings.warn("Variables are collinear")
ok
sklearn.tests.test_common.test_non_meta_estimators('QDA', <class 'sklearn.discriminant_analysis.QuadraticDiscriminantAnalysis'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('QDA', <class 'sklearn.discriminant_analysis.QuadraticDiscriminantAnalysis'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('QDA', <class 'sklearn.discriminant_analysis.QuadraticDiscriminantAnalysis'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('QDA', <class 'sklearn.discriminant_analysis.QuadraticDiscriminantAnalysis'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('QDA', <class 'sklearn.discriminant_analysis.QuadraticDiscriminantAnalysis'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('QDA', <class 'sklearn.discriminant_analysis.QuadraticDiscriminantAnalysis'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('QuadraticDiscriminantAnalysis', <class 'sklearn.discriminant_analysis.QuadraticDiscriminantAnalysis'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('QuadraticDiscriminantAnalysis', <class 'sklearn.discriminant_analysis.QuadraticDiscriminantAnalysis'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('QuadraticDiscriminantAnalysis', <class 'sklearn.discriminant_analysis.QuadraticDiscriminantAnalysis'>) ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/discriminant_analysis.py:688: UserWarning: Variables are collinear
warnings.warn("Variables are collinear")
ok
sklearn.tests.test_common.test_non_meta_estimators('QuadraticDiscriminantAnalysis', <class 'sklearn.discriminant_analysis.QuadraticDiscriminantAnalysis'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('QuadraticDiscriminantAnalysis', <class 'sklearn.discriminant_analysis.QuadraticDiscriminantAnalysis'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('QuadraticDiscriminantAnalysis', <class 'sklearn.discriminant_analysis.QuadraticDiscriminantAnalysis'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('QuadraticDiscriminantAnalysis', <class 'sklearn.discriminant_analysis.QuadraticDiscriminantAnalysis'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('QuadraticDiscriminantAnalysis', <class 'sklearn.discriminant_analysis.QuadraticDiscriminantAnalysis'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('QuadraticDiscriminantAnalysis', <class 'sklearn.discriminant_analysis.QuadraticDiscriminantAnalysis'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('QuadraticDiscriminantAnalysis', <class 'sklearn.discriminant_analysis.QuadraticDiscriminantAnalysis'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('QuadraticDiscriminantAnalysis', <class 'sklearn.discriminant_analysis.QuadraticDiscriminantAnalysis'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('QuadraticDiscriminantAnalysis', <class 'sklearn.discriminant_analysis.QuadraticDiscriminantAnalysis'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('QuadraticDiscriminantAnalysis', <class 'sklearn.discriminant_analysis.QuadraticDiscriminantAnalysis'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('QuadraticDiscriminantAnalysis', <class 'sklearn.discriminant_analysis.QuadraticDiscriminantAnalysis'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('QuadraticDiscriminantAnalysis', <class 'sklearn.discriminant_analysis.QuadraticDiscriminantAnalysis'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('QuadraticDiscriminantAnalysis', <class 'sklearn.discriminant_analysis.QuadraticDiscriminantAnalysis'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('QuadraticDiscriminantAnalysis', <class 'sklearn.discriminant_analysis.QuadraticDiscriminantAnalysis'>) ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/discriminant_analysis.py:688: UserWarning: Variables are collinear
warnings.warn("Variables are collinear")
ok
sklearn.tests.test_common.test_non_meta_estimators('QuadraticDiscriminantAnalysis', <class 'sklearn.discriminant_analysis.QuadraticDiscriminantAnalysis'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('QuadraticDiscriminantAnalysis', <class 'sklearn.discriminant_analysis.QuadraticDiscriminantAnalysis'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('QuadraticDiscriminantAnalysis', <class 'sklearn.discriminant_analysis.QuadraticDiscriminantAnalysis'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('QuadraticDiscriminantAnalysis', <class 'sklearn.discriminant_analysis.QuadraticDiscriminantAnalysis'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('QuadraticDiscriminantAnalysis', <class 'sklearn.discriminant_analysis.QuadraticDiscriminantAnalysis'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('QuadraticDiscriminantAnalysis', <class 'sklearn.discriminant_analysis.QuadraticDiscriminantAnalysis'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('RANSACRegressor', <class 'sklearn.linear_model.ransac.RANSACRegressor'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('RANSACRegressor', <class 'sklearn.linear_model.ransac.RANSACRegressor'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('RANSACRegressor', <class 'sklearn.linear_model.ransac.RANSACRegressor'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('RANSACRegressor', <class 'sklearn.linear_model.ransac.RANSACRegressor'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('RANSACRegressor', <class 'sklearn.linear_model.ransac.RANSACRegressor'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('RANSACRegressor', <class 'sklearn.linear_model.ransac.RANSACRegressor'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('RANSACRegressor', <class 'sklearn.linear_model.ransac.RANSACRegressor'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('RANSACRegressor', <class 'sklearn.linear_model.ransac.RANSACRegressor'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('RANSACRegressor', <class 'sklearn.linear_model.ransac.RANSACRegressor'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('RANSACRegressor', <class 'sklearn.linear_model.ransac.RANSACRegressor'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('RANSACRegressor', <class 'sklearn.linear_model.ransac.RANSACRegressor'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('RANSACRegressor', <class 'sklearn.linear_model.ransac.RANSACRegressor'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('RANSACRegressor', <class 'sklearn.linear_model.ransac.RANSACRegressor'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('RANSACRegressor', <class 'sklearn.linear_model.ransac.RANSACRegressor'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('RANSACRegressor', <class 'sklearn.linear_model.ransac.RANSACRegressor'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('RANSACRegressor', <class 'sklearn.linear_model.ransac.RANSACRegressor'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('RANSACRegressor', <class 'sklearn.linear_model.ransac.RANSACRegressor'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('RANSACRegressor', <class 'sklearn.linear_model.ransac.RANSACRegressor'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('RANSACRegressor', <class 'sklearn.linear_model.ransac.RANSACRegressor'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('RANSACRegressor', <class 'sklearn.linear_model.ransac.RANSACRegressor'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('RANSACRegressor', <class 'sklearn.linear_model.ransac.RANSACRegressor'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('RANSACRegressor', <class 'sklearn.linear_model.ransac.RANSACRegressor'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('RBFSampler', <class 'sklearn.kernel_approximation.RBFSampler'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('RBFSampler', <class 'sklearn.kernel_approximation.RBFSampler'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('RBFSampler', <class 'sklearn.kernel_approximation.RBFSampler'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('RBFSampler', <class 'sklearn.kernel_approximation.RBFSampler'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('RBFSampler', <class 'sklearn.kernel_approximation.RBFSampler'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('RBFSampler', <class 'sklearn.kernel_approximation.RBFSampler'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('RBFSampler', <class 'sklearn.kernel_approximation.RBFSampler'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('RBFSampler', <class 'sklearn.kernel_approximation.RBFSampler'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('RBFSampler', <class 'sklearn.kernel_approximation.RBFSampler'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('RBFSampler', <class 'sklearn.kernel_approximation.RBFSampler'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('RBFSampler', <class 'sklearn.kernel_approximation.RBFSampler'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('RBFSampler', <class 'sklearn.kernel_approximation.RBFSampler'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('RBFSampler', <class 'sklearn.kernel_approximation.RBFSampler'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('RBFSampler', <class 'sklearn.kernel_approximation.RBFSampler'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('RBFSampler', <class 'sklearn.kernel_approximation.RBFSampler'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('RBFSampler', <class 'sklearn.kernel_approximation.RBFSampler'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('RBFSampler', <class 'sklearn.kernel_approximation.RBFSampler'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('RBFSampler', <class 'sklearn.kernel_approximation.RBFSampler'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('RadiusNeighborsClassifier', <class 'sklearn.neighbors.classification.RadiusNeighborsClassifier'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('RadiusNeighborsClassifier', <class 'sklearn.neighbors.classification.RadiusNeighborsClassifier'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('RadiusNeighborsClassifier', <class 'sklearn.neighbors.classification.RadiusNeighborsClassifier'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('RadiusNeighborsClassifier', <class 'sklearn.neighbors.classification.RadiusNeighborsClassifier'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('RadiusNeighborsClassifier', <class 'sklearn.neighbors.classification.RadiusNeighborsClassifier'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('RadiusNeighborsClassifier', <class 'sklearn.neighbors.classification.RadiusNeighborsClassifier'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('RadiusNeighborsClassifier', <class 'sklearn.neighbors.classification.RadiusNeighborsClassifier'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('RadiusNeighborsClassifier', <class 'sklearn.neighbors.classification.RadiusNeighborsClassifier'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('RadiusNeighborsClassifier', <class 'sklearn.neighbors.classification.RadiusNeighborsClassifier'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('RadiusNeighborsClassifier', <class 'sklearn.neighbors.classification.RadiusNeighborsClassifier'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('RadiusNeighborsClassifier', <class 'sklearn.neighbors.classification.RadiusNeighborsClassifier'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('RadiusNeighborsClassifier', <class 'sklearn.neighbors.classification.RadiusNeighborsClassifier'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('RadiusNeighborsClassifier', <class 'sklearn.neighbors.classification.RadiusNeighborsClassifier'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('RadiusNeighborsClassifier', <class 'sklearn.neighbors.classification.RadiusNeighborsClassifier'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('RadiusNeighborsClassifier', <class 'sklearn.neighbors.classification.RadiusNeighborsClassifier'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('RadiusNeighborsClassifier', <class 'sklearn.neighbors.classification.RadiusNeighborsClassifier'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('RadiusNeighborsClassifier', <class 'sklearn.neighbors.classification.RadiusNeighborsClassifier'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('RadiusNeighborsClassifier', <class 'sklearn.neighbors.classification.RadiusNeighborsClassifier'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('RadiusNeighborsClassifier', <class 'sklearn.neighbors.classification.RadiusNeighborsClassifier'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('RadiusNeighborsClassifier', <class 'sklearn.neighbors.classification.RadiusNeighborsClassifier'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('RadiusNeighborsClassifier', <class 'sklearn.neighbors.classification.RadiusNeighborsClassifier'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('RadiusNeighborsClassifier', <class 'sklearn.neighbors.classification.RadiusNeighborsClassifier'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('RadiusNeighborsClassifier', <class 'sklearn.neighbors.classification.RadiusNeighborsClassifier'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('RadiusNeighborsRegressor', <class 'sklearn.neighbors.regression.RadiusNeighborsRegressor'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('RadiusNeighborsRegressor', <class 'sklearn.neighbors.regression.RadiusNeighborsRegressor'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('RadiusNeighborsRegressor', <class 'sklearn.neighbors.regression.RadiusNeighborsRegressor'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('RadiusNeighborsRegressor', <class 'sklearn.neighbors.regression.RadiusNeighborsRegressor'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('RadiusNeighborsRegressor', <class 'sklearn.neighbors.regression.RadiusNeighborsRegressor'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('RadiusNeighborsRegressor', <class 'sklearn.neighbors.regression.RadiusNeighborsRegressor'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('RadiusNeighborsRegressor', <class 'sklearn.neighbors.regression.RadiusNeighborsRegressor'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('RadiusNeighborsRegressor', <class 'sklearn.neighbors.regression.RadiusNeighborsRegressor'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('RadiusNeighborsRegressor', <class 'sklearn.neighbors.regression.RadiusNeighborsRegressor'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('RadiusNeighborsRegressor', <class 'sklearn.neighbors.regression.RadiusNeighborsRegressor'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('RadiusNeighborsRegressor', <class 'sklearn.neighbors.regression.RadiusNeighborsRegressor'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('RadiusNeighborsRegressor', <class 'sklearn.neighbors.regression.RadiusNeighborsRegressor'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('RadiusNeighborsRegressor', <class 'sklearn.neighbors.regression.RadiusNeighborsRegressor'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('RadiusNeighborsRegressor', <class 'sklearn.neighbors.regression.RadiusNeighborsRegressor'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('RadiusNeighborsRegressor', <class 'sklearn.neighbors.regression.RadiusNeighborsRegressor'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('RadiusNeighborsRegressor', <class 'sklearn.neighbors.regression.RadiusNeighborsRegressor'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('RadiusNeighborsRegressor', <class 'sklearn.neighbors.regression.RadiusNeighborsRegressor'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('RadiusNeighborsRegressor', <class 'sklearn.neighbors.regression.RadiusNeighborsRegressor'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('RadiusNeighborsRegressor', <class 'sklearn.neighbors.regression.RadiusNeighborsRegressor'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('RadiusNeighborsRegressor', <class 'sklearn.neighbors.regression.RadiusNeighborsRegressor'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('RadiusNeighborsRegressor', <class 'sklearn.neighbors.regression.RadiusNeighborsRegressor'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('RadiusNeighborsRegressor', <class 'sklearn.neighbors.regression.RadiusNeighborsRegressor'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('RandomForestClassifier', <class 'sklearn.ensemble.forest.RandomForestClassifier'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('RandomForestClassifier', <class 'sklearn.ensemble.forest.RandomForestClassifier'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('RandomForestClassifier', <class 'sklearn.ensemble.forest.RandomForestClassifier'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('RandomForestClassifier', <class 'sklearn.ensemble.forest.RandomForestClassifier'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('RandomForestClassifier', <class 'sklearn.ensemble.forest.RandomForestClassifier'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('RandomForestClassifier', <class 'sklearn.ensemble.forest.RandomForestClassifier'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('RandomForestClassifier', <class 'sklearn.ensemble.forest.RandomForestClassifier'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('RandomForestClassifier', <class 'sklearn.ensemble.forest.RandomForestClassifier'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('RandomForestClassifier', <class 'sklearn.ensemble.forest.RandomForestClassifier'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('RandomForestClassifier', <class 'sklearn.ensemble.forest.RandomForestClassifier'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('RandomForestClassifier', <class 'sklearn.ensemble.forest.RandomForestClassifier'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('RandomForestClassifier', <class 'sklearn.ensemble.forest.RandomForestClassifier'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('RandomForestClassifier', <class 'sklearn.ensemble.forest.RandomForestClassifier'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('RandomForestClassifier', <class 'sklearn.ensemble.forest.RandomForestClassifier'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('RandomForestClassifier', <class 'sklearn.ensemble.forest.RandomForestClassifier'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('RandomForestClassifier', <class 'sklearn.ensemble.forest.RandomForestClassifier'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('RandomForestClassifier', <class 'sklearn.ensemble.forest.RandomForestClassifier'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('RandomForestClassifier', <class 'sklearn.ensemble.forest.RandomForestClassifier'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('RandomForestClassifier', <class 'sklearn.ensemble.forest.RandomForestClassifier'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('RandomForestClassifier', <class 'sklearn.ensemble.forest.RandomForestClassifier'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('RandomForestClassifier', <class 'sklearn.ensemble.forest.RandomForestClassifier'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('RandomForestClassifier', <class 'sklearn.ensemble.forest.RandomForestClassifier'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('RandomForestClassifier', <class 'sklearn.ensemble.forest.RandomForestClassifier'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('RandomForestClassifier', <class 'sklearn.ensemble.forest.RandomForestClassifier'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('RandomForestRegressor', <class 'sklearn.ensemble.forest.RandomForestRegressor'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('RandomForestRegressor', <class 'sklearn.ensemble.forest.RandomForestRegressor'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('RandomForestRegressor', <class 'sklearn.ensemble.forest.RandomForestRegressor'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('RandomForestRegressor', <class 'sklearn.ensemble.forest.RandomForestRegressor'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('RandomForestRegressor', <class 'sklearn.ensemble.forest.RandomForestRegressor'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('RandomForestRegressor', <class 'sklearn.ensemble.forest.RandomForestRegressor'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('RandomForestRegressor', <class 'sklearn.ensemble.forest.RandomForestRegressor'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('RandomForestRegressor', <class 'sklearn.ensemble.forest.RandomForestRegressor'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('RandomForestRegressor', <class 'sklearn.ensemble.forest.RandomForestRegressor'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('RandomForestRegressor', <class 'sklearn.ensemble.forest.RandomForestRegressor'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('RandomForestRegressor', <class 'sklearn.ensemble.forest.RandomForestRegressor'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('RandomForestRegressor', <class 'sklearn.ensemble.forest.RandomForestRegressor'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('RandomForestRegressor', <class 'sklearn.ensemble.forest.RandomForestRegressor'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('RandomForestRegressor', <class 'sklearn.ensemble.forest.RandomForestRegressor'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('RandomForestRegressor', <class 'sklearn.ensemble.forest.RandomForestRegressor'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('RandomForestRegressor', <class 'sklearn.ensemble.forest.RandomForestRegressor'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('RandomForestRegressor', <class 'sklearn.ensemble.forest.RandomForestRegressor'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('RandomForestRegressor', <class 'sklearn.ensemble.forest.RandomForestRegressor'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('RandomForestRegressor', <class 'sklearn.ensemble.forest.RandomForestRegressor'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('RandomForestRegressor', <class 'sklearn.ensemble.forest.RandomForestRegressor'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('RandomForestRegressor', <class 'sklearn.ensemble.forest.RandomForestRegressor'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('RandomForestRegressor', <class 'sklearn.ensemble.forest.RandomForestRegressor'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('RandomizedLasso', <class 'sklearn.linear_model.randomized_l1.RandomizedLasso'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('RandomizedLasso', <class 'sklearn.linear_model.randomized_l1.RandomizedLasso'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('RandomizedLasso', <class 'sklearn.linear_model.randomized_l1.RandomizedLasso'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('RandomizedLasso', <class 'sklearn.linear_model.randomized_l1.RandomizedLasso'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('RandomizedLasso', <class 'sklearn.linear_model.randomized_l1.RandomizedLasso'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('RandomizedLasso', <class 'sklearn.linear_model.randomized_l1.RandomizedLasso'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('RandomizedLasso', <class 'sklearn.linear_model.randomized_l1.RandomizedLasso'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('RandomizedLasso', <class 'sklearn.linear_model.randomized_l1.RandomizedLasso'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('RandomizedLasso', <class 'sklearn.linear_model.randomized_l1.RandomizedLasso'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('RandomizedLasso', <class 'sklearn.linear_model.randomized_l1.RandomizedLasso'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('RandomizedLasso', <class 'sklearn.linear_model.randomized_l1.RandomizedLasso'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('RandomizedLasso', <class 'sklearn.linear_model.randomized_l1.RandomizedLasso'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('RandomizedLasso', <class 'sklearn.linear_model.randomized_l1.RandomizedLasso'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('RandomizedLasso', <class 'sklearn.linear_model.randomized_l1.RandomizedLasso'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('RandomizedLasso', <class 'sklearn.linear_model.randomized_l1.RandomizedLasso'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('RandomizedLasso', <class 'sklearn.linear_model.randomized_l1.RandomizedLasso'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('RandomizedLasso', <class 'sklearn.linear_model.randomized_l1.RandomizedLasso'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('RandomizedLasso', <class 'sklearn.linear_model.randomized_l1.RandomizedLasso'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('RandomizedLogisticRegression', <class 'sklearn.linear_model.randomized_l1.RandomizedLogisticRegression'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('RandomizedLogisticRegression', <class 'sklearn.linear_model.randomized_l1.RandomizedLogisticRegression'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('RandomizedLogisticRegression', <class 'sklearn.linear_model.randomized_l1.RandomizedLogisticRegression'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('RandomizedLogisticRegression', <class 'sklearn.linear_model.randomized_l1.RandomizedLogisticRegression'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('RandomizedLogisticRegression', <class 'sklearn.linear_model.randomized_l1.RandomizedLogisticRegression'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('RandomizedLogisticRegression', <class 'sklearn.linear_model.randomized_l1.RandomizedLogisticRegression'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('RandomizedLogisticRegression', <class 'sklearn.linear_model.randomized_l1.RandomizedLogisticRegression'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('RandomizedLogisticRegression', <class 'sklearn.linear_model.randomized_l1.RandomizedLogisticRegression'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('RandomizedLogisticRegression', <class 'sklearn.linear_model.randomized_l1.RandomizedLogisticRegression'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('RandomizedLogisticRegression', <class 'sklearn.linear_model.randomized_l1.RandomizedLogisticRegression'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('RandomizedLogisticRegression', <class 'sklearn.linear_model.randomized_l1.RandomizedLogisticRegression'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('RandomizedLogisticRegression', <class 'sklearn.linear_model.randomized_l1.RandomizedLogisticRegression'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('RandomizedLogisticRegression', <class 'sklearn.linear_model.randomized_l1.RandomizedLogisticRegression'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('RandomizedLogisticRegression', <class 'sklearn.linear_model.randomized_l1.RandomizedLogisticRegression'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('RandomizedLogisticRegression', <class 'sklearn.linear_model.randomized_l1.RandomizedLogisticRegression'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('RandomizedLogisticRegression', <class 'sklearn.linear_model.randomized_l1.RandomizedLogisticRegression'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('RandomizedLogisticRegression', <class 'sklearn.linear_model.randomized_l1.RandomizedLogisticRegression'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('RandomizedLogisticRegression', <class 'sklearn.linear_model.randomized_l1.RandomizedLogisticRegression'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('RandomizedPCA', <class 'sklearn.decomposition.pca.RandomizedPCA'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('RandomizedPCA', <class 'sklearn.decomposition.pca.RandomizedPCA'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('RandomizedPCA', <class 'sklearn.decomposition.pca.RandomizedPCA'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('RandomizedPCA', <class 'sklearn.decomposition.pca.RandomizedPCA'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('RandomizedPCA', <class 'sklearn.decomposition.pca.RandomizedPCA'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('RandomizedPCA', <class 'sklearn.decomposition.pca.RandomizedPCA'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('RandomizedPCA', <class 'sklearn.decomposition.pca.RandomizedPCA'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('RandomizedPCA', <class 'sklearn.decomposition.pca.RandomizedPCA'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('RandomizedPCA', <class 'sklearn.decomposition.pca.RandomizedPCA'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('RandomizedPCA', <class 'sklearn.decomposition.pca.RandomizedPCA'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('RandomizedPCA', <class 'sklearn.decomposition.pca.RandomizedPCA'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('RandomizedPCA', <class 'sklearn.decomposition.pca.RandomizedPCA'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('RandomizedPCA', <class 'sklearn.decomposition.pca.RandomizedPCA'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('RandomizedPCA', <class 'sklearn.decomposition.pca.RandomizedPCA'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('RandomizedPCA', <class 'sklearn.decomposition.pca.RandomizedPCA'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('RandomizedPCA', <class 'sklearn.decomposition.pca.RandomizedPCA'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('RandomizedPCA', <class 'sklearn.decomposition.pca.RandomizedPCA'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('RandomizedPCA', <class 'sklearn.decomposition.pca.RandomizedPCA'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('Ridge', <class 'sklearn.linear_model.ridge.Ridge'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('Ridge', <class 'sklearn.linear_model.ridge.Ridge'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('Ridge', <class 'sklearn.linear_model.ridge.Ridge'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('Ridge', <class 'sklearn.linear_model.ridge.Ridge'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('Ridge', <class 'sklearn.linear_model.ridge.Ridge'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('Ridge', <class 'sklearn.linear_model.ridge.Ridge'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('Ridge', <class 'sklearn.linear_model.ridge.Ridge'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('Ridge', <class 'sklearn.linear_model.ridge.Ridge'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('Ridge', <class 'sklearn.linear_model.ridge.Ridge'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('Ridge', <class 'sklearn.linear_model.ridge.Ridge'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('Ridge', <class 'sklearn.linear_model.ridge.Ridge'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('Ridge', <class 'sklearn.linear_model.ridge.Ridge'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('Ridge', <class 'sklearn.linear_model.ridge.Ridge'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('Ridge', <class 'sklearn.linear_model.ridge.Ridge'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('Ridge', <class 'sklearn.linear_model.ridge.Ridge'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('Ridge', <class 'sklearn.linear_model.ridge.Ridge'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('Ridge', <class 'sklearn.linear_model.ridge.Ridge'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('Ridge', <class 'sklearn.linear_model.ridge.Ridge'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('Ridge', <class 'sklearn.linear_model.ridge.Ridge'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('Ridge', <class 'sklearn.linear_model.ridge.Ridge'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('Ridge', <class 'sklearn.linear_model.ridge.Ridge'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('Ridge', <class 'sklearn.linear_model.ridge.Ridge'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('RidgeCV', <class 'sklearn.linear_model.ridge.RidgeCV'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('RidgeCV', <class 'sklearn.linear_model.ridge.RidgeCV'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('RidgeCV', <class 'sklearn.linear_model.ridge.RidgeCV'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('RidgeCV', <class 'sklearn.linear_model.ridge.RidgeCV'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('RidgeCV', <class 'sklearn.linear_model.ridge.RidgeCV'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('RidgeCV', <class 'sklearn.linear_model.ridge.RidgeCV'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('RidgeCV', <class 'sklearn.linear_model.ridge.RidgeCV'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('RidgeCV', <class 'sklearn.linear_model.ridge.RidgeCV'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('RidgeCV', <class 'sklearn.linear_model.ridge.RidgeCV'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('RidgeCV', <class 'sklearn.linear_model.ridge.RidgeCV'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('RidgeCV', <class 'sklearn.linear_model.ridge.RidgeCV'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('RidgeCV', <class 'sklearn.linear_model.ridge.RidgeCV'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('RidgeCV', <class 'sklearn.linear_model.ridge.RidgeCV'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('RidgeCV', <class 'sklearn.linear_model.ridge.RidgeCV'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('RidgeCV', <class 'sklearn.linear_model.ridge.RidgeCV'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('RidgeCV', <class 'sklearn.linear_model.ridge.RidgeCV'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('RidgeCV', <class 'sklearn.linear_model.ridge.RidgeCV'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('RidgeCV', <class 'sklearn.linear_model.ridge.RidgeCV'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('RidgeCV', <class 'sklearn.linear_model.ridge.RidgeCV'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('RidgeCV', <class 'sklearn.linear_model.ridge.RidgeCV'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('RidgeCV', <class 'sklearn.linear_model.ridge.RidgeCV'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('RidgeCV', <class 'sklearn.linear_model.ridge.RidgeCV'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('RidgeClassifier', <class 'sklearn.linear_model.ridge.RidgeClassifier'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('RidgeClassifier', <class 'sklearn.linear_model.ridge.RidgeClassifier'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('RidgeClassifier', <class 'sklearn.linear_model.ridge.RidgeClassifier'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('RidgeClassifier', <class 'sklearn.linear_model.ridge.RidgeClassifier'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('RidgeClassifier', <class 'sklearn.linear_model.ridge.RidgeClassifier'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('RidgeClassifier', <class 'sklearn.linear_model.ridge.RidgeClassifier'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('RidgeClassifier', <class 'sklearn.linear_model.ridge.RidgeClassifier'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('RidgeClassifier', <class 'sklearn.linear_model.ridge.RidgeClassifier'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('RidgeClassifier', <class 'sklearn.linear_model.ridge.RidgeClassifier'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('RidgeClassifier', <class 'sklearn.linear_model.ridge.RidgeClassifier'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('RidgeClassifier', <class 'sklearn.linear_model.ridge.RidgeClassifier'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('RidgeClassifier', <class 'sklearn.linear_model.ridge.RidgeClassifier'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('RidgeClassifier', <class 'sklearn.linear_model.ridge.RidgeClassifier'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('RidgeClassifier', <class 'sklearn.linear_model.ridge.RidgeClassifier'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('RidgeClassifier', <class 'sklearn.linear_model.ridge.RidgeClassifier'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('RidgeClassifier', <class 'sklearn.linear_model.ridge.RidgeClassifier'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('RidgeClassifier', <class 'sklearn.linear_model.ridge.RidgeClassifier'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('RidgeClassifier', <class 'sklearn.linear_model.ridge.RidgeClassifier'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('RidgeClassifier', <class 'sklearn.linear_model.ridge.RidgeClassifier'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('RidgeClassifier', <class 'sklearn.linear_model.ridge.RidgeClassifier'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('RidgeClassifier', <class 'sklearn.linear_model.ridge.RidgeClassifier'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('RidgeClassifier', <class 'sklearn.linear_model.ridge.RidgeClassifier'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('RidgeClassifier', <class 'sklearn.linear_model.ridge.RidgeClassifier'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('RidgeClassifier', <class 'sklearn.linear_model.ridge.RidgeClassifier'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('RidgeClassifierCV', <class 'sklearn.linear_model.ridge.RidgeClassifierCV'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('RidgeClassifierCV', <class 'sklearn.linear_model.ridge.RidgeClassifierCV'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('RidgeClassifierCV', <class 'sklearn.linear_model.ridge.RidgeClassifierCV'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('RidgeClassifierCV', <class 'sklearn.linear_model.ridge.RidgeClassifierCV'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('RidgeClassifierCV', <class 'sklearn.linear_model.ridge.RidgeClassifierCV'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('RidgeClassifierCV', <class 'sklearn.linear_model.ridge.RidgeClassifierCV'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('RidgeClassifierCV', <class 'sklearn.linear_model.ridge.RidgeClassifierCV'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('RidgeClassifierCV', <class 'sklearn.linear_model.ridge.RidgeClassifierCV'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('RidgeClassifierCV', <class 'sklearn.linear_model.ridge.RidgeClassifierCV'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('RidgeClassifierCV', <class 'sklearn.linear_model.ridge.RidgeClassifierCV'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('RidgeClassifierCV', <class 'sklearn.linear_model.ridge.RidgeClassifierCV'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('RidgeClassifierCV', <class 'sklearn.linear_model.ridge.RidgeClassifierCV'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('RidgeClassifierCV', <class 'sklearn.linear_model.ridge.RidgeClassifierCV'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('RidgeClassifierCV', <class 'sklearn.linear_model.ridge.RidgeClassifierCV'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('RidgeClassifierCV', <class 'sklearn.linear_model.ridge.RidgeClassifierCV'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('RidgeClassifierCV', <class 'sklearn.linear_model.ridge.RidgeClassifierCV'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('RidgeClassifierCV', <class 'sklearn.linear_model.ridge.RidgeClassifierCV'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('RidgeClassifierCV', <class 'sklearn.linear_model.ridge.RidgeClassifierCV'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('RidgeClassifierCV', <class 'sklearn.linear_model.ridge.RidgeClassifierCV'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('RidgeClassifierCV', <class 'sklearn.linear_model.ridge.RidgeClassifierCV'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('RidgeClassifierCV', <class 'sklearn.linear_model.ridge.RidgeClassifierCV'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('RidgeClassifierCV', <class 'sklearn.linear_model.ridge.RidgeClassifierCV'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('RidgeClassifierCV', <class 'sklearn.linear_model.ridge.RidgeClassifierCV'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('RidgeClassifierCV', <class 'sklearn.linear_model.ridge.RidgeClassifierCV'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('RobustScaler', <class 'sklearn.preprocessing.data.RobustScaler'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('RobustScaler', <class 'sklearn.preprocessing.data.RobustScaler'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('RobustScaler', <class 'sklearn.preprocessing.data.RobustScaler'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('RobustScaler', <class 'sklearn.preprocessing.data.RobustScaler'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('RobustScaler', <class 'sklearn.preprocessing.data.RobustScaler'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('RobustScaler', <class 'sklearn.preprocessing.data.RobustScaler'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('RobustScaler', <class 'sklearn.preprocessing.data.RobustScaler'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('RobustScaler', <class 'sklearn.preprocessing.data.RobustScaler'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('RobustScaler', <class 'sklearn.preprocessing.data.RobustScaler'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('RobustScaler', <class 'sklearn.preprocessing.data.RobustScaler'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('RobustScaler', <class 'sklearn.preprocessing.data.RobustScaler'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('RobustScaler', <class 'sklearn.preprocessing.data.RobustScaler'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('RobustScaler', <class 'sklearn.preprocessing.data.RobustScaler'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('RobustScaler', <class 'sklearn.preprocessing.data.RobustScaler'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('RobustScaler', <class 'sklearn.preprocessing.data.RobustScaler'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('RobustScaler', <class 'sklearn.preprocessing.data.RobustScaler'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('RobustScaler', <class 'sklearn.preprocessing.data.RobustScaler'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('RobustScaler', <class 'sklearn.preprocessing.data.RobustScaler'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('SGDClassifier', <class 'sklearn.linear_model.stochastic_gradient.SGDClassifier'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('SGDClassifier', <class 'sklearn.linear_model.stochastic_gradient.SGDClassifier'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('SGDClassifier', <class 'sklearn.linear_model.stochastic_gradient.SGDClassifier'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('SGDClassifier', <class 'sklearn.linear_model.stochastic_gradient.SGDClassifier'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('SGDClassifier', <class 'sklearn.linear_model.stochastic_gradient.SGDClassifier'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('SGDClassifier', <class 'sklearn.linear_model.stochastic_gradient.SGDClassifier'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('SGDClassifier', <class 'sklearn.linear_model.stochastic_gradient.SGDClassifier'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('SGDClassifier', <class 'sklearn.linear_model.stochastic_gradient.SGDClassifier'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('SGDClassifier', <class 'sklearn.linear_model.stochastic_gradient.SGDClassifier'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('SGDClassifier', <class 'sklearn.linear_model.stochastic_gradient.SGDClassifier'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('SGDClassifier', <class 'sklearn.linear_model.stochastic_gradient.SGDClassifier'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('SGDClassifier', <class 'sklearn.linear_model.stochastic_gradient.SGDClassifier'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('SGDClassifier', <class 'sklearn.linear_model.stochastic_gradient.SGDClassifier'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('SGDClassifier', <class 'sklearn.linear_model.stochastic_gradient.SGDClassifier'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('SGDClassifier', <class 'sklearn.linear_model.stochastic_gradient.SGDClassifier'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('SGDClassifier', <class 'sklearn.linear_model.stochastic_gradient.SGDClassifier'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('SGDClassifier', <class 'sklearn.linear_model.stochastic_gradient.SGDClassifier'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('SGDClassifier', <class 'sklearn.linear_model.stochastic_gradient.SGDClassifier'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('SGDClassifier', <class 'sklearn.linear_model.stochastic_gradient.SGDClassifier'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('SGDClassifier', <class 'sklearn.linear_model.stochastic_gradient.SGDClassifier'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('SGDClassifier', <class 'sklearn.linear_model.stochastic_gradient.SGDClassifier'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('SGDClassifier', <class 'sklearn.linear_model.stochastic_gradient.SGDClassifier'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('SGDClassifier', <class 'sklearn.linear_model.stochastic_gradient.SGDClassifier'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('SGDClassifier', <class 'sklearn.linear_model.stochastic_gradient.SGDClassifier'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('SGDClassifier', <class 'sklearn.linear_model.stochastic_gradient.SGDClassifier'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('SGDRegressor', <class 'sklearn.linear_model.stochastic_gradient.SGDRegressor'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('SGDRegressor', <class 'sklearn.linear_model.stochastic_gradient.SGDRegressor'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('SGDRegressor', <class 'sklearn.linear_model.stochastic_gradient.SGDRegressor'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('SGDRegressor', <class 'sklearn.linear_model.stochastic_gradient.SGDRegressor'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('SGDRegressor', <class 'sklearn.linear_model.stochastic_gradient.SGDRegressor'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('SGDRegressor', <class 'sklearn.linear_model.stochastic_gradient.SGDRegressor'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('SGDRegressor', <class 'sklearn.linear_model.stochastic_gradient.SGDRegressor'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('SGDRegressor', <class 'sklearn.linear_model.stochastic_gradient.SGDRegressor'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('SGDRegressor', <class 'sklearn.linear_model.stochastic_gradient.SGDRegressor'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('SGDRegressor', <class 'sklearn.linear_model.stochastic_gradient.SGDRegressor'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('SGDRegressor', <class 'sklearn.linear_model.stochastic_gradient.SGDRegressor'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('SGDRegressor', <class 'sklearn.linear_model.stochastic_gradient.SGDRegressor'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('SGDRegressor', <class 'sklearn.linear_model.stochastic_gradient.SGDRegressor'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('SGDRegressor', <class 'sklearn.linear_model.stochastic_gradient.SGDRegressor'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('SGDRegressor', <class 'sklearn.linear_model.stochastic_gradient.SGDRegressor'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('SGDRegressor', <class 'sklearn.linear_model.stochastic_gradient.SGDRegressor'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('SGDRegressor', <class 'sklearn.linear_model.stochastic_gradient.SGDRegressor'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('SGDRegressor', <class 'sklearn.linear_model.stochastic_gradient.SGDRegressor'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('SGDRegressor', <class 'sklearn.linear_model.stochastic_gradient.SGDRegressor'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('SGDRegressor', <class 'sklearn.linear_model.stochastic_gradient.SGDRegressor'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('SGDRegressor', <class 'sklearn.linear_model.stochastic_gradient.SGDRegressor'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('SGDRegressor', <class 'sklearn.linear_model.stochastic_gradient.SGDRegressor'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('SGDRegressor', <class 'sklearn.linear_model.stochastic_gradient.SGDRegressor'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('SVC', <class 'sklearn.svm.classes.SVC'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('SVC', <class 'sklearn.svm.classes.SVC'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('SVC', <class 'sklearn.svm.classes.SVC'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('SVC', <class 'sklearn.svm.classes.SVC'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('SVC', <class 'sklearn.svm.classes.SVC'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('SVC', <class 'sklearn.svm.classes.SVC'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('SVC', <class 'sklearn.svm.classes.SVC'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('SVC', <class 'sklearn.svm.classes.SVC'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('SVC', <class 'sklearn.svm.classes.SVC'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('SVC', <class 'sklearn.svm.classes.SVC'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('SVC', <class 'sklearn.svm.classes.SVC'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('SVC', <class 'sklearn.svm.classes.SVC'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('SVC', <class 'sklearn.svm.classes.SVC'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('SVC', <class 'sklearn.svm.classes.SVC'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('SVC', <class 'sklearn.svm.classes.SVC'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('SVC', <class 'sklearn.svm.classes.SVC'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('SVC', <class 'sklearn.svm.classes.SVC'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('SVC', <class 'sklearn.svm.classes.SVC'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('SVC', <class 'sklearn.svm.classes.SVC'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('SVC', <class 'sklearn.svm.classes.SVC'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('SVC', <class 'sklearn.svm.classes.SVC'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('SVC', <class 'sklearn.svm.classes.SVC'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('SVC', <class 'sklearn.svm.classes.SVC'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('SVC', <class 'sklearn.svm.classes.SVC'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('SVR', <class 'sklearn.svm.classes.SVR'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('SVR', <class 'sklearn.svm.classes.SVR'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('SVR', <class 'sklearn.svm.classes.SVR'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('SVR', <class 'sklearn.svm.classes.SVR'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('SVR', <class 'sklearn.svm.classes.SVR'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('SVR', <class 'sklearn.svm.classes.SVR'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('SVR', <class 'sklearn.svm.classes.SVR'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('SVR', <class 'sklearn.svm.classes.SVR'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('SVR', <class 'sklearn.svm.classes.SVR'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('SVR', <class 'sklearn.svm.classes.SVR'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('SVR', <class 'sklearn.svm.classes.SVR'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('SVR', <class 'sklearn.svm.classes.SVR'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('SVR', <class 'sklearn.svm.classes.SVR'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('SVR', <class 'sklearn.svm.classes.SVR'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('SVR', <class 'sklearn.svm.classes.SVR'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('SVR', <class 'sklearn.svm.classes.SVR'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('SVR', <class 'sklearn.svm.classes.SVR'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('SVR', <class 'sklearn.svm.classes.SVR'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('SVR', <class 'sklearn.svm.classes.SVR'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('SVR', <class 'sklearn.svm.classes.SVR'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('SVR', <class 'sklearn.svm.classes.SVR'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('SVR', <class 'sklearn.svm.classes.SVR'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('SelectFdr', <class 'sklearn.feature_selection.univariate_selection.SelectFdr'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('SelectFdr', <class 'sklearn.feature_selection.univariate_selection.SelectFdr'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('SelectFdr', <class 'sklearn.feature_selection.univariate_selection.SelectFdr'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('SelectFdr', <class 'sklearn.feature_selection.univariate_selection.SelectFdr'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('SelectFdr', <class 'sklearn.feature_selection.univariate_selection.SelectFdr'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('SelectFdr', <class 'sklearn.feature_selection.univariate_selection.SelectFdr'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('SelectFdr', <class 'sklearn.feature_selection.univariate_selection.SelectFdr'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('SelectFdr', <class 'sklearn.feature_selection.univariate_selection.SelectFdr'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('SelectFdr', <class 'sklearn.feature_selection.univariate_selection.SelectFdr'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('SelectFdr', <class 'sklearn.feature_selection.univariate_selection.SelectFdr'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('SelectFdr', <class 'sklearn.feature_selection.univariate_selection.SelectFdr'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('SelectFdr', <class 'sklearn.feature_selection.univariate_selection.SelectFdr'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('SelectFdr', <class 'sklearn.feature_selection.univariate_selection.SelectFdr'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('SelectFdr', <class 'sklearn.feature_selection.univariate_selection.SelectFdr'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('SelectFdr', <class 'sklearn.feature_selection.univariate_selection.SelectFdr'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('SelectFdr', <class 'sklearn.feature_selection.univariate_selection.SelectFdr'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('SelectFdr', <class 'sklearn.feature_selection.univariate_selection.SelectFdr'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('SelectFdr', <class 'sklearn.feature_selection.univariate_selection.SelectFdr'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('SelectFpr', <class 'sklearn.feature_selection.univariate_selection.SelectFpr'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('SelectFpr', <class 'sklearn.feature_selection.univariate_selection.SelectFpr'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('SelectFpr', <class 'sklearn.feature_selection.univariate_selection.SelectFpr'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('SelectFpr', <class 'sklearn.feature_selection.univariate_selection.SelectFpr'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('SelectFpr', <class 'sklearn.feature_selection.univariate_selection.SelectFpr'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('SelectFpr', <class 'sklearn.feature_selection.univariate_selection.SelectFpr'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('SelectFpr', <class 'sklearn.feature_selection.univariate_selection.SelectFpr'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('SelectFpr', <class 'sklearn.feature_selection.univariate_selection.SelectFpr'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('SelectFpr', <class 'sklearn.feature_selection.univariate_selection.SelectFpr'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('SelectFpr', <class 'sklearn.feature_selection.univariate_selection.SelectFpr'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('SelectFpr', <class 'sklearn.feature_selection.univariate_selection.SelectFpr'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('SelectFpr', <class 'sklearn.feature_selection.univariate_selection.SelectFpr'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('SelectFpr', <class 'sklearn.feature_selection.univariate_selection.SelectFpr'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('SelectFpr', <class 'sklearn.feature_selection.univariate_selection.SelectFpr'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('SelectFpr', <class 'sklearn.feature_selection.univariate_selection.SelectFpr'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('SelectFpr', <class 'sklearn.feature_selection.univariate_selection.SelectFpr'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('SelectFpr', <class 'sklearn.feature_selection.univariate_selection.SelectFpr'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('SelectFpr', <class 'sklearn.feature_selection.univariate_selection.SelectFpr'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('SelectFwe', <class 'sklearn.feature_selection.univariate_selection.SelectFwe'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('SelectFwe', <class 'sklearn.feature_selection.univariate_selection.SelectFwe'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('SelectFwe', <class 'sklearn.feature_selection.univariate_selection.SelectFwe'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('SelectFwe', <class 'sklearn.feature_selection.univariate_selection.SelectFwe'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('SelectFwe', <class 'sklearn.feature_selection.univariate_selection.SelectFwe'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('SelectFwe', <class 'sklearn.feature_selection.univariate_selection.SelectFwe'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('SelectFwe', <class 'sklearn.feature_selection.univariate_selection.SelectFwe'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('SelectFwe', <class 'sklearn.feature_selection.univariate_selection.SelectFwe'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('SelectFwe', <class 'sklearn.feature_selection.univariate_selection.SelectFwe'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('SelectFwe', <class 'sklearn.feature_selection.univariate_selection.SelectFwe'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('SelectFwe', <class 'sklearn.feature_selection.univariate_selection.SelectFwe'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('SelectFwe', <class 'sklearn.feature_selection.univariate_selection.SelectFwe'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('SelectFwe', <class 'sklearn.feature_selection.univariate_selection.SelectFwe'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('SelectFwe', <class 'sklearn.feature_selection.univariate_selection.SelectFwe'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('SelectFwe', <class 'sklearn.feature_selection.univariate_selection.SelectFwe'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('SelectFwe', <class 'sklearn.feature_selection.univariate_selection.SelectFwe'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('SelectFwe', <class 'sklearn.feature_selection.univariate_selection.SelectFwe'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('SelectFwe', <class 'sklearn.feature_selection.univariate_selection.SelectFwe'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('SelectKBest', <class 'sklearn.feature_selection.univariate_selection.SelectKBest'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('SelectKBest', <class 'sklearn.feature_selection.univariate_selection.SelectKBest'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('SelectKBest', <class 'sklearn.feature_selection.univariate_selection.SelectKBest'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('SelectKBest', <class 'sklearn.feature_selection.univariate_selection.SelectKBest'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('SelectKBest', <class 'sklearn.feature_selection.univariate_selection.SelectKBest'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('SelectKBest', <class 'sklearn.feature_selection.univariate_selection.SelectKBest'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('SelectKBest', <class 'sklearn.feature_selection.univariate_selection.SelectKBest'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('SelectKBest', <class 'sklearn.feature_selection.univariate_selection.SelectKBest'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('SelectKBest', <class 'sklearn.feature_selection.univariate_selection.SelectKBest'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('SelectKBest', <class 'sklearn.feature_selection.univariate_selection.SelectKBest'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('SelectKBest', <class 'sklearn.feature_selection.univariate_selection.SelectKBest'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('SelectKBest', <class 'sklearn.feature_selection.univariate_selection.SelectKBest'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('SelectKBest', <class 'sklearn.feature_selection.univariate_selection.SelectKBest'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('SelectKBest', <class 'sklearn.feature_selection.univariate_selection.SelectKBest'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('SelectKBest', <class 'sklearn.feature_selection.univariate_selection.SelectKBest'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('SelectKBest', <class 'sklearn.feature_selection.univariate_selection.SelectKBest'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('SelectKBest', <class 'sklearn.feature_selection.univariate_selection.SelectKBest'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('SelectKBest', <class 'sklearn.feature_selection.univariate_selection.SelectKBest'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('SelectPercentile', <class 'sklearn.feature_selection.univariate_selection.SelectPercentile'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('SelectPercentile', <class 'sklearn.feature_selection.univariate_selection.SelectPercentile'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('SelectPercentile', <class 'sklearn.feature_selection.univariate_selection.SelectPercentile'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('SelectPercentile', <class 'sklearn.feature_selection.univariate_selection.SelectPercentile'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('SelectPercentile', <class 'sklearn.feature_selection.univariate_selection.SelectPercentile'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('SelectPercentile', <class 'sklearn.feature_selection.univariate_selection.SelectPercentile'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('SelectPercentile', <class 'sklearn.feature_selection.univariate_selection.SelectPercentile'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('SelectPercentile', <class 'sklearn.feature_selection.univariate_selection.SelectPercentile'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('SelectPercentile', <class 'sklearn.feature_selection.univariate_selection.SelectPercentile'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('SelectPercentile', <class 'sklearn.feature_selection.univariate_selection.SelectPercentile'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('SelectPercentile', <class 'sklearn.feature_selection.univariate_selection.SelectPercentile'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('SelectPercentile', <class 'sklearn.feature_selection.univariate_selection.SelectPercentile'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('SelectPercentile', <class 'sklearn.feature_selection.univariate_selection.SelectPercentile'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('SelectPercentile', <class 'sklearn.feature_selection.univariate_selection.SelectPercentile'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('SelectPercentile', <class 'sklearn.feature_selection.univariate_selection.SelectPercentile'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('SelectPercentile', <class 'sklearn.feature_selection.univariate_selection.SelectPercentile'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('SelectPercentile', <class 'sklearn.feature_selection.univariate_selection.SelectPercentile'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('SelectPercentile', <class 'sklearn.feature_selection.univariate_selection.SelectPercentile'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('ShrunkCovariance', <class 'sklearn.covariance.shrunk_covariance_.ShrunkCovariance'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('ShrunkCovariance', <class 'sklearn.covariance.shrunk_covariance_.ShrunkCovariance'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('ShrunkCovariance', <class 'sklearn.covariance.shrunk_covariance_.ShrunkCovariance'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('ShrunkCovariance', <class 'sklearn.covariance.shrunk_covariance_.ShrunkCovariance'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('ShrunkCovariance', <class 'sklearn.covariance.shrunk_covariance_.ShrunkCovariance'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('ShrunkCovariance', <class 'sklearn.covariance.shrunk_covariance_.ShrunkCovariance'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('ShrunkCovariance', <class 'sklearn.covariance.shrunk_covariance_.ShrunkCovariance'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('ShrunkCovariance', <class 'sklearn.covariance.shrunk_covariance_.ShrunkCovariance'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('ShrunkCovariance', <class 'sklearn.covariance.shrunk_covariance_.ShrunkCovariance'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('ShrunkCovariance', <class 'sklearn.covariance.shrunk_covariance_.ShrunkCovariance'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('ShrunkCovariance', <class 'sklearn.covariance.shrunk_covariance_.ShrunkCovariance'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('ShrunkCovariance', <class 'sklearn.covariance.shrunk_covariance_.ShrunkCovariance'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('ShrunkCovariance', <class 'sklearn.covariance.shrunk_covariance_.ShrunkCovariance'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('ShrunkCovariance', <class 'sklearn.covariance.shrunk_covariance_.ShrunkCovariance'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('ShrunkCovariance', <class 'sklearn.covariance.shrunk_covariance_.ShrunkCovariance'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('SkewedChi2Sampler', <class 'sklearn.kernel_approximation.SkewedChi2Sampler'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('SkewedChi2Sampler', <class 'sklearn.kernel_approximation.SkewedChi2Sampler'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('SkewedChi2Sampler', <class 'sklearn.kernel_approximation.SkewedChi2Sampler'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('SkewedChi2Sampler', <class 'sklearn.kernel_approximation.SkewedChi2Sampler'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('SkewedChi2Sampler', <class 'sklearn.kernel_approximation.SkewedChi2Sampler'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('SkewedChi2Sampler', <class 'sklearn.kernel_approximation.SkewedChi2Sampler'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('SkewedChi2Sampler', <class 'sklearn.kernel_approximation.SkewedChi2Sampler'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('SkewedChi2Sampler', <class 'sklearn.kernel_approximation.SkewedChi2Sampler'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('SkewedChi2Sampler', <class 'sklearn.kernel_approximation.SkewedChi2Sampler'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('SkewedChi2Sampler', <class 'sklearn.kernel_approximation.SkewedChi2Sampler'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('SkewedChi2Sampler', <class 'sklearn.kernel_approximation.SkewedChi2Sampler'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('SkewedChi2Sampler', <class 'sklearn.kernel_approximation.SkewedChi2Sampler'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('SkewedChi2Sampler', <class 'sklearn.kernel_approximation.SkewedChi2Sampler'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('SkewedChi2Sampler', <class 'sklearn.kernel_approximation.SkewedChi2Sampler'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('SkewedChi2Sampler', <class 'sklearn.kernel_approximation.SkewedChi2Sampler'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('SkewedChi2Sampler', <class 'sklearn.kernel_approximation.SkewedChi2Sampler'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('SkewedChi2Sampler', <class 'sklearn.kernel_approximation.SkewedChi2Sampler'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('SkewedChi2Sampler', <class 'sklearn.kernel_approximation.SkewedChi2Sampler'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('SparsePCA', <class 'sklearn.decomposition.sparse_pca.SparsePCA'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('SparsePCA', <class 'sklearn.decomposition.sparse_pca.SparsePCA'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('SparsePCA', <class 'sklearn.decomposition.sparse_pca.SparsePCA'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('SparsePCA', <class 'sklearn.decomposition.sparse_pca.SparsePCA'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('SparsePCA', <class 'sklearn.decomposition.sparse_pca.SparsePCA'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('SparsePCA', <class 'sklearn.decomposition.sparse_pca.SparsePCA'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('SparsePCA', <class 'sklearn.decomposition.sparse_pca.SparsePCA'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('SparsePCA', <class 'sklearn.decomposition.sparse_pca.SparsePCA'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('SparsePCA', <class 'sklearn.decomposition.sparse_pca.SparsePCA'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('SparsePCA', <class 'sklearn.decomposition.sparse_pca.SparsePCA'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('SparsePCA', <class 'sklearn.decomposition.sparse_pca.SparsePCA'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('SparsePCA', <class 'sklearn.decomposition.sparse_pca.SparsePCA'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('SparsePCA', <class 'sklearn.decomposition.sparse_pca.SparsePCA'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('SparsePCA', <class 'sklearn.decomposition.sparse_pca.SparsePCA'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('SparsePCA', <class 'sklearn.decomposition.sparse_pca.SparsePCA'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('SparsePCA', <class 'sklearn.decomposition.sparse_pca.SparsePCA'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('SparsePCA', <class 'sklearn.decomposition.sparse_pca.SparsePCA'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('SparsePCA', <class 'sklearn.decomposition.sparse_pca.SparsePCA'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('SparseRandomProjection', <class 'sklearn.random_projection.SparseRandomProjection'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('SparseRandomProjection', <class 'sklearn.random_projection.SparseRandomProjection'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('SparseRandomProjection', <class 'sklearn.random_projection.SparseRandomProjection'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('SparseRandomProjection', <class 'sklearn.random_projection.SparseRandomProjection'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('SparseRandomProjection', <class 'sklearn.random_projection.SparseRandomProjection'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('SparseRandomProjection', <class 'sklearn.random_projection.SparseRandomProjection'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('SparseRandomProjection', <class 'sklearn.random_projection.SparseRandomProjection'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('SparseRandomProjection', <class 'sklearn.random_projection.SparseRandomProjection'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('SparseRandomProjection', <class 'sklearn.random_projection.SparseRandomProjection'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('SparseRandomProjection', <class 'sklearn.random_projection.SparseRandomProjection'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('SparseRandomProjection', <class 'sklearn.random_projection.SparseRandomProjection'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('SparseRandomProjection', <class 'sklearn.random_projection.SparseRandomProjection'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('SparseRandomProjection', <class 'sklearn.random_projection.SparseRandomProjection'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('SparseRandomProjection', <class 'sklearn.random_projection.SparseRandomProjection'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('SparseRandomProjection', <class 'sklearn.random_projection.SparseRandomProjection'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('SparseRandomProjection', <class 'sklearn.random_projection.SparseRandomProjection'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('SparseRandomProjection', <class 'sklearn.random_projection.SparseRandomProjection'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('SparseRandomProjection', <class 'sklearn.random_projection.SparseRandomProjection'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('SpectralClustering', <class 'sklearn.cluster.spectral.SpectralClustering'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('SpectralClustering', <class 'sklearn.cluster.spectral.SpectralClustering'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('SpectralClustering', <class 'sklearn.cluster.spectral.SpectralClustering'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('SpectralClustering', <class 'sklearn.cluster.spectral.SpectralClustering'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('SpectralClustering', <class 'sklearn.cluster.spectral.SpectralClustering'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('SpectralClustering', <class 'sklearn.cluster.spectral.SpectralClustering'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('SpectralClustering', <class 'sklearn.cluster.spectral.SpectralClustering'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('SpectralClustering', <class 'sklearn.cluster.spectral.SpectralClustering'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('SpectralClustering', <class 'sklearn.cluster.spectral.SpectralClustering'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('SpectralClustering', <class 'sklearn.cluster.spectral.SpectralClustering'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('SpectralClustering', <class 'sklearn.cluster.spectral.SpectralClustering'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('SpectralClustering', <class 'sklearn.cluster.spectral.SpectralClustering'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('SpectralClustering', <class 'sklearn.cluster.spectral.SpectralClustering'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('SpectralClustering', <class 'sklearn.cluster.spectral.SpectralClustering'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('SpectralClustering', <class 'sklearn.cluster.spectral.SpectralClustering'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('SpectralClustering', <class 'sklearn.cluster.spectral.SpectralClustering'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('SpectralClustering', <class 'sklearn.cluster.spectral.SpectralClustering'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('SpectralClustering', <class 'sklearn.cluster.spectral.SpectralClustering'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('SpectralEmbedding', <class 'sklearn.manifold.spectral_embedding_.SpectralEmbedding'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('SpectralEmbedding', <class 'sklearn.manifold.spectral_embedding_.SpectralEmbedding'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('SpectralEmbedding', <class 'sklearn.manifold.spectral_embedding_.SpectralEmbedding'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('SpectralEmbedding', <class 'sklearn.manifold.spectral_embedding_.SpectralEmbedding'>) ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/manifold/spectral_embedding_.py:217: UserWarning: Graph is not fully connected, spectral embedding may not work as expected.
warnings.warn("Graph is not fully connected, spectral embedding"
ok
sklearn.tests.test_common.test_non_meta_estimators('SpectralEmbedding', <class 'sklearn.manifold.spectral_embedding_.SpectralEmbedding'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('SpectralEmbedding', <class 'sklearn.manifold.spectral_embedding_.SpectralEmbedding'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('SpectralEmbedding', <class 'sklearn.manifold.spectral_embedding_.SpectralEmbedding'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('SpectralEmbedding', <class 'sklearn.manifold.spectral_embedding_.SpectralEmbedding'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('SpectralEmbedding', <class 'sklearn.manifold.spectral_embedding_.SpectralEmbedding'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('SpectralEmbedding', <class 'sklearn.manifold.spectral_embedding_.SpectralEmbedding'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('SpectralEmbedding', <class 'sklearn.manifold.spectral_embedding_.SpectralEmbedding'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('SpectralEmbedding', <class 'sklearn.manifold.spectral_embedding_.SpectralEmbedding'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('SpectralEmbedding', <class 'sklearn.manifold.spectral_embedding_.SpectralEmbedding'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('SpectralEmbedding', <class 'sklearn.manifold.spectral_embedding_.SpectralEmbedding'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('StandardScaler', <class 'sklearn.preprocessing.data.StandardScaler'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('StandardScaler', <class 'sklearn.preprocessing.data.StandardScaler'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('StandardScaler', <class 'sklearn.preprocessing.data.StandardScaler'>) ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/validation.py:420: DataConversionWarning: Data with input dtype object was converted to float64 by StandardScaler.
warnings.warn(msg, DataConversionWarning)
ok
sklearn.tests.test_common.test_non_meta_estimators('StandardScaler', <class 'sklearn.preprocessing.data.StandardScaler'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('StandardScaler', <class 'sklearn.preprocessing.data.StandardScaler'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('StandardScaler', <class 'sklearn.preprocessing.data.StandardScaler'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('StandardScaler', <class 'sklearn.preprocessing.data.StandardScaler'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('StandardScaler', <class 'sklearn.preprocessing.data.StandardScaler'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('StandardScaler', <class 'sklearn.preprocessing.data.StandardScaler'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('StandardScaler', <class 'sklearn.preprocessing.data.StandardScaler'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('StandardScaler', <class 'sklearn.preprocessing.data.StandardScaler'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('StandardScaler', <class 'sklearn.preprocessing.data.StandardScaler'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('StandardScaler', <class 'sklearn.preprocessing.data.StandardScaler'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('StandardScaler', <class 'sklearn.preprocessing.data.StandardScaler'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('StandardScaler', <class 'sklearn.preprocessing.data.StandardScaler'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('StandardScaler', <class 'sklearn.preprocessing.data.StandardScaler'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('StandardScaler', <class 'sklearn.preprocessing.data.StandardScaler'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('StandardScaler', <class 'sklearn.preprocessing.data.StandardScaler'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('TSNE', <class 'sklearn.manifold.t_sne.TSNE'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('TSNE', <class 'sklearn.manifold.t_sne.TSNE'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('TSNE', <class 'sklearn.manifold.t_sne.TSNE'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('TSNE', <class 'sklearn.manifold.t_sne.TSNE'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('TSNE', <class 'sklearn.manifold.t_sne.TSNE'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('TSNE', <class 'sklearn.manifold.t_sne.TSNE'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('TSNE', <class 'sklearn.manifold.t_sne.TSNE'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('TSNE', <class 'sklearn.manifold.t_sne.TSNE'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('TSNE', <class 'sklearn.manifold.t_sne.TSNE'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('TSNE', <class 'sklearn.manifold.t_sne.TSNE'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('TSNE', <class 'sklearn.manifold.t_sne.TSNE'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('TSNE', <class 'sklearn.manifold.t_sne.TSNE'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('TSNE', <class 'sklearn.manifold.t_sne.TSNE'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('TSNE', <class 'sklearn.manifold.t_sne.TSNE'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('TSNE', <class 'sklearn.manifold.t_sne.TSNE'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('TheilSenRegressor', <class 'sklearn.linear_model.theil_sen.TheilSenRegressor'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('TheilSenRegressor', <class 'sklearn.linear_model.theil_sen.TheilSenRegressor'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('TheilSenRegressor', <class 'sklearn.linear_model.theil_sen.TheilSenRegressor'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('TheilSenRegressor', <class 'sklearn.linear_model.theil_sen.TheilSenRegressor'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('TheilSenRegressor', <class 'sklearn.linear_model.theil_sen.TheilSenRegressor'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('TheilSenRegressor', <class 'sklearn.linear_model.theil_sen.TheilSenRegressor'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('TheilSenRegressor', <class 'sklearn.linear_model.theil_sen.TheilSenRegressor'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('TheilSenRegressor', <class 'sklearn.linear_model.theil_sen.TheilSenRegressor'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('TheilSenRegressor', <class 'sklearn.linear_model.theil_sen.TheilSenRegressor'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('TheilSenRegressor', <class 'sklearn.linear_model.theil_sen.TheilSenRegressor'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('TheilSenRegressor', <class 'sklearn.linear_model.theil_sen.TheilSenRegressor'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('TheilSenRegressor', <class 'sklearn.linear_model.theil_sen.TheilSenRegressor'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('TheilSenRegressor', <class 'sklearn.linear_model.theil_sen.TheilSenRegressor'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('TheilSenRegressor', <class 'sklearn.linear_model.theil_sen.TheilSenRegressor'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('TheilSenRegressor', <class 'sklearn.linear_model.theil_sen.TheilSenRegressor'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('TheilSenRegressor', <class 'sklearn.linear_model.theil_sen.TheilSenRegressor'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('TheilSenRegressor', <class 'sklearn.linear_model.theil_sen.TheilSenRegressor'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('TheilSenRegressor', <class 'sklearn.linear_model.theil_sen.TheilSenRegressor'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('TheilSenRegressor', <class 'sklearn.linear_model.theil_sen.TheilSenRegressor'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('TheilSenRegressor', <class 'sklearn.linear_model.theil_sen.TheilSenRegressor'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('TheilSenRegressor', <class 'sklearn.linear_model.theil_sen.TheilSenRegressor'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('TheilSenRegressor', <class 'sklearn.linear_model.theil_sen.TheilSenRegressor'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('VBGMM', <class 'sklearn.mixture.dpgmm.VBGMM'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('VBGMM', <class 'sklearn.mixture.dpgmm.VBGMM'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('VBGMM', <class 'sklearn.mixture.dpgmm.VBGMM'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('VBGMM', <class 'sklearn.mixture.dpgmm.VBGMM'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('VBGMM', <class 'sklearn.mixture.dpgmm.VBGMM'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('VBGMM', <class 'sklearn.mixture.dpgmm.VBGMM'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('VBGMM', <class 'sklearn.mixture.dpgmm.VBGMM'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('VBGMM', <class 'sklearn.mixture.dpgmm.VBGMM'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('VBGMM', <class 'sklearn.mixture.dpgmm.VBGMM'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('VBGMM', <class 'sklearn.mixture.dpgmm.VBGMM'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('VBGMM', <class 'sklearn.mixture.dpgmm.VBGMM'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('VBGMM', <class 'sklearn.mixture.dpgmm.VBGMM'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('VBGMM', <class 'sklearn.mixture.dpgmm.VBGMM'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('VBGMM', <class 'sklearn.mixture.dpgmm.VBGMM'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('VBGMM', <class 'sklearn.mixture.dpgmm.VBGMM'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('VarianceThreshold', <class 'sklearn.feature_selection.variance_threshold.VarianceThreshold'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('VarianceThreshold', <class 'sklearn.feature_selection.variance_threshold.VarianceThreshold'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('VarianceThreshold', <class 'sklearn.feature_selection.variance_threshold.VarianceThreshold'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('VarianceThreshold', <class 'sklearn.feature_selection.variance_threshold.VarianceThreshold'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('VarianceThreshold', <class 'sklearn.feature_selection.variance_threshold.VarianceThreshold'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('VarianceThreshold', <class 'sklearn.feature_selection.variance_threshold.VarianceThreshold'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('VarianceThreshold', <class 'sklearn.feature_selection.variance_threshold.VarianceThreshold'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('VarianceThreshold', <class 'sklearn.feature_selection.variance_threshold.VarianceThreshold'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('VarianceThreshold', <class 'sklearn.feature_selection.variance_threshold.VarianceThreshold'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('VarianceThreshold', <class 'sklearn.feature_selection.variance_threshold.VarianceThreshold'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('VarianceThreshold', <class 'sklearn.feature_selection.variance_threshold.VarianceThreshold'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('VarianceThreshold', <class 'sklearn.feature_selection.variance_threshold.VarianceThreshold'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('VarianceThreshold', <class 'sklearn.feature_selection.variance_threshold.VarianceThreshold'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('VarianceThreshold', <class 'sklearn.feature_selection.variance_threshold.VarianceThreshold'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('VarianceThreshold', <class 'sklearn.feature_selection.variance_threshold.VarianceThreshold'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('VarianceThreshold', <class 'sklearn.feature_selection.variance_threshold.VarianceThreshold'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('VarianceThreshold', <class 'sklearn.feature_selection.variance_threshold.VarianceThreshold'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('VarianceThreshold', <class 'sklearn.feature_selection.variance_threshold.VarianceThreshold'>) ... ok
sklearn.tests.test_common.test_configure ... ok
sklearn.tests.test_common.test_class_weight_balanced_linear_classifiers('LinearSVC', <class 'sklearn.svm.classes.LinearSVC'>) ... ok
sklearn.tests.test_common.test_class_weight_balanced_linear_classifiers('LogisticRegression', <class 'sklearn.linear_model.logistic.LogisticRegression'>) ... ok
sklearn.tests.test_common.test_class_weight_balanced_linear_classifiers('LogisticRegressionCV', <class 'sklearn.linear_model.logistic.LogisticRegressionCV'>) ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/cross_validation.py:516: Warning: The least populated class in y has only 2 members, which is too few. The minimum number of labels for any class cannot be less than n_folds=3.
% (min_labels, self.n_folds)), Warning)
ok
sklearn.tests.test_common.test_class_weight_balanced_linear_classifiers('PassiveAggressiveClassifier', <class 'sklearn.linear_model.passive_aggressive.PassiveAggressiveClassifier'>) ... ok
sklearn.tests.test_common.test_class_weight_balanced_linear_classifiers('Perceptron', <class 'sklearn.linear_model.perceptron.Perceptron'>) ... ok
sklearn.tests.test_common.test_class_weight_balanced_linear_classifiers('RidgeClassifier', <class 'sklearn.linear_model.ridge.RidgeClassifier'>) ... ok
sklearn.tests.test_common.test_class_weight_balanced_linear_classifiers('RidgeClassifierCV', <class 'sklearn.linear_model.ridge.RidgeClassifierCV'>) ... ok
sklearn.tests.test_common.test_class_weight_balanced_linear_classifiers('SGDClassifier', <class 'sklearn.linear_model.stochastic_gradient.SGDClassifier'>) ... ok
sklearn.tests.test_common.test_root_import_all_completeness ... ok
sklearn.tests.test_common.test_non_transformer_estimators_n_iter('ElasticNet', ElasticNet(alpha=1.0, copy_X=True, fit_intercept=True, l1_ratio=0.5, ... ok
sklearn.tests.test_common.test_non_transformer_estimators_n_iter('ElasticNetCV', ElasticNetCV(alphas=None, copy_X=True, cv=None, eps=0.001, fit_intercept=True, ... ok
sklearn.tests.test_common.test_non_transformer_estimators_n_iter('LarsCV', LarsCV(copy_X=True, cv=None, eps=2.2204460492503131e-16, fit_intercept=True, ... ok
sklearn.tests.test_common.test_non_transformer_estimators_n_iter('Lasso', Lasso(alpha=1.0, copy_X=True, fit_intercept=True, max_iter=1000, ... ok
sklearn.tests.test_common.test_non_transformer_estimators_n_iter('LassoCV', LassoCV(alphas=None, copy_X=True, cv=None, eps=0.001, fit_intercept=True, ... ok
sklearn.tests.test_common.test_non_transformer_estimators_n_iter('LassoLars', LassoLars(alpha=0.0, copy_X=True, eps=2.2204460492503131e-16, ... ok
sklearn.tests.test_common.test_non_transformer_estimators_n_iter('LassoLarsCV', LassoLarsCV(copy_X=True, cv=None, eps=2.2204460492503131e-16, ... ok
sklearn.tests.test_common.test_non_transformer_estimators_n_iter('LassoLarsIC', LassoLarsIC(copy_X=True, criterion='aic', eps=2.2204460492503131e-16, ... ok
sklearn.tests.test_common.test_non_transformer_estimators_n_iter('LinearSVR', LinearSVR(C=1.0, dual=True, epsilon=0.0, fit_intercept=True, ... ok
sklearn.tests.test_common.test_non_transformer_estimators_n_iter('MultiTaskElasticNet', MultiTaskElasticNet(alpha=1.0, copy_X=True, fit_intercept=True, l1_ratio=0.5, ... ok
sklearn.tests.test_common.test_non_transformer_estimators_n_iter('MultiTaskElasticNetCV', MultiTaskElasticNetCV(alphas=None, copy_X=True, cv=None, eps=0.001, ... ok
sklearn.tests.test_common.test_non_transformer_estimators_n_iter('MultiTaskLasso', MultiTaskLasso(alpha=1.0, copy_X=True, fit_intercept=True, max_iter=1000, ... ok
sklearn.tests.test_common.test_non_transformer_estimators_n_iter('MultiTaskLassoCV', MultiTaskLassoCV(alphas=None, copy_X=True, cv=None, eps=0.001, ... ok
sklearn.tests.test_common.test_non_transformer_estimators_n_iter('OrthogonalMatchingPursuitCV', OrthogonalMatchingPursuitCV(copy=True, cv=None, fit_intercept=True, ... ok
sklearn.tests.test_common.test_non_transformer_estimators_n_iter('TheilSenRegressor', TheilSenRegressor(copy_X=True, fit_intercept=True, max_iter=300, ... ok
sklearn.tests.test_common.test_non_transformer_estimators_n_iter('LabelPropagation', LabelPropagation(alpha=1, gamma=20, kernel='rbf', max_iter=30, n_neighbors=7, ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/metrics/pairwise.py:811: 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:349: RuntimeWarning: underflow encountered in divide
affinity_matrix /= normalizer[:, np.newaxis]
ok
sklearn.tests.test_common.test_non_transformer_estimators_n_iter('LabelSpreading', LabelSpreading(alpha=0.2, gamma=20, kernel='rbf', max_iter=30, n_neighbors=7, ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/graph.py:175: RuntimeWarning: underflow encountered in divide
lap /= w
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/utils/graph.py:176: RuntimeWarning: underflow encountered in divide
lap /= w[:, np.newaxis]
ok
sklearn.tests.test_common.test_non_transformer_estimators_n_iter('AffinityPropagation', AffinityPropagation(affinity='euclidean', convergence_iter=15, copy=True, ... ok
sklearn.tests.test_common.test_non_transformer_estimators_n_iter('KMeans', KMeans(copy_x=True, init='k-means++', max_iter=300, n_clusters=8, n_init=10, ... ok
sklearn.tests.test_common.test_non_transformer_estimators_n_iter('MiniBatchKMeans', MiniBatchKMeans(batch_size=100, compute_labels=True, init='k-means++', ... ok
sklearn.tests.test_common.test_transformer_n_iter('CCA', CCA(copy=True, max_iter=500, n_components=2, scale=True, tol=1e-06)) ... ok
sklearn.tests.test_common.test_transformer_n_iter('DictionaryLearning', DictionaryLearning(alpha=1, code_init=None, dict_init=None, ... ok
sklearn.tests.test_common.test_transformer_n_iter('FactorAnalysis', FactorAnalysis(copy=True, iterated_power=3, max_iter=1000, n_components=None, ... ok
sklearn.tests.test_common.test_transformer_n_iter('FastICA', FastICA(algorithm='parallel', fun='logcosh', fun_args=None, max_iter=200, ... ok
sklearn.tests.test_common.test_transformer_n_iter('KMeans', KMeans(copy_x=True, init='k-means++', max_iter=300, n_clusters=8, n_init=10, ... ok
sklearn.tests.test_common.test_transformer_n_iter('LatentDirichletAllocation', LatentDirichletAllocation(batch_size=128, doc_topic_prior=None, ... ok
sklearn.tests.test_common.test_transformer_n_iter('LinearSVC', LinearSVC(C=1.0, class_weight=None, dual=True, fit_intercept=True, ... ok
sklearn.tests.test_common.test_transformer_n_iter('LogisticRegression', LogisticRegression(C=1.0, class_weight=None, dual=False, fit_intercept=True, ... ok
sklearn.tests.test_common.test_transformer_n_iter('MiniBatchKMeans', MiniBatchKMeans(batch_size=100, compute_labels=True, init='k-means++', ... ok
sklearn.tests.test_common.test_transformer_n_iter('NMF', NMF(alpha=0.0, beta=1, eta=0.1, init=None, l1_ratio=0.0, max_iter=200, ... ok
sklearn.tests.test_common.test_transformer_n_iter('PLSCanonical', PLSCanonical(algorithm='nipals', copy=True, max_iter=500, n_components=2, ... ok
sklearn.tests.test_common.test_transformer_n_iter('PLSRegression', PLSRegression(copy=True, max_iter=500, n_components=2, scale=True, tol=1e-06)) ... ok
sklearn.tests.test_common.test_transformer_n_iter('ProjectedGradientNMF', ProjectedGradientNMF(alpha=0.0, beta=1, eta=0.1, init=None, l1_ratio=0.0, ... ok
sklearn.tests.test_common.test_transformer_n_iter('SparsePCA', SparsePCA(U_init=None, V_init=None, alpha=1, max_iter=1000, method='lars', ... ok
sklearn.tests.test_common.test_get_params_invariance('ARDRegression', <class 'sklearn.linear_model.bayes.ARDRegression'>) ... ok
sklearn.tests.test_common.test_get_params_invariance('AdaBoostClassifier', <class 'sklearn.ensemble.weight_boosting.AdaBoostClassifier'>) ... ok
sklearn.tests.test_common.test_get_params_invariance('AdaBoostRegressor', <class 'sklearn.ensemble.weight_boosting.AdaBoostRegressor'>) ... ok
sklearn.tests.test_common.test_get_params_invariance('AdditiveChi2Sampler', <class 'sklearn.kernel_approximation.AdditiveChi2Sampler'>) ... ok
sklearn.tests.test_common.test_get_params_invariance('AffinityPropagation', <class 'sklearn.cluster.affinity_propagation_.AffinityPropagation'>) ... ok
sklearn.tests.test_common.test_get_params_invariance('AgglomerativeClustering', <class 'sklearn.cluster.hierarchical.AgglomerativeClustering'>) ... ok
sklearn.tests.test_common.test_get_params_invariance('BaggingClassifier', <class 'sklearn.ensemble.bagging.BaggingClassifier'>) ... ok
sklearn.tests.test_common.test_get_params_invariance('BaggingRegressor', <class 'sklearn.ensemble.bagging.BaggingRegressor'>) ... ok
sklearn.tests.test_common.test_get_params_invariance('BayesianRidge', <class 'sklearn.linear_model.bayes.BayesianRidge'>) ... ok
sklearn.tests.test_common.test_get_params_invariance('BernoulliNB', <class 'sklearn.naive_bayes.BernoulliNB'>) ... ok
sklearn.tests.test_common.test_get_params_invariance('BernoulliRBM', <class 'sklearn.neural_network.rbm.BernoulliRBM'>) ... ok
sklearn.tests.test_common.test_get_params_invariance('Binarizer', <class 'sklearn.preprocessing.data.Binarizer'>) ... ok
sklearn.tests.test_common.test_get_params_invariance('Birch', <class 'sklearn.cluster.birch.Birch'>) ... ok
sklearn.tests.test_common.test_get_params_invariance('CCA', <class 'sklearn.cross_decomposition.cca_.CCA'>) ... ok
sklearn.tests.test_common.test_get_params_invariance('CalibratedClassifierCV', <class 'sklearn.calibration.CalibratedClassifierCV'>) ... ok
sklearn.tests.test_common.test_get_params_invariance('DBSCAN', <class 'sklearn.cluster.dbscan_.DBSCAN'>) ... ok
sklearn.tests.test_common.test_get_params_invariance('DPGMM', <class 'sklearn.mixture.dpgmm.DPGMM'>) ... ok
sklearn.tests.test_common.test_get_params_invariance('DecisionTreeClassifier', <class 'sklearn.tree.tree.DecisionTreeClassifier'>) ... ok
sklearn.tests.test_common.test_get_params_invariance('DecisionTreeRegressor', <class 'sklearn.tree.tree.DecisionTreeRegressor'>) ... ok
sklearn.tests.test_common.test_get_params_invariance('DictionaryLearning', <class 'sklearn.decomposition.dict_learning.DictionaryLearning'>) ... ok
sklearn.tests.test_common.test_get_params_invariance('ElasticNet', <class 'sklearn.linear_model.coordinate_descent.ElasticNet'>) ... ok
sklearn.tests.test_common.test_get_params_invariance('ElasticNetCV', <class 'sklearn.linear_model.coordinate_descent.ElasticNetCV'>) ... ok
sklearn.tests.test_common.test_get_params_invariance('EmpiricalCovariance', <class 'sklearn.covariance.empirical_covariance_.EmpiricalCovariance'>) ... ok
sklearn.tests.test_common.test_get_params_invariance('ExtraTreeClassifier', <class 'sklearn.tree.tree.ExtraTreeClassifier'>) ... ok
sklearn.tests.test_common.test_get_params_invariance('ExtraTreeRegressor', <class 'sklearn.tree.tree.ExtraTreeRegressor'>) ... ok
sklearn.tests.test_common.test_get_params_invariance('ExtraTreesClassifier', <class 'sklearn.ensemble.forest.ExtraTreesClassifier'>) ... ok
sklearn.tests.test_common.test_get_params_invariance('ExtraTreesRegressor', <class 'sklearn.ensemble.forest.ExtraTreesRegressor'>) ... ok
sklearn.tests.test_common.test_get_params_invariance('FactorAnalysis', <class 'sklearn.decomposition.factor_analysis.FactorAnalysis'>) ... ok
sklearn.tests.test_common.test_get_params_invariance('FastICA', <class 'sklearn.decomposition.fastica_.FastICA'>) ... ok
sklearn.tests.test_common.test_get_params_invariance('FeatureAgglomeration', <class 'sklearn.cluster.hierarchical.FeatureAgglomeration'>) ... ok
sklearn.tests.test_common.test_get_params_invariance('FeatureUnion', <class 'sklearn.pipeline.FeatureUnion'>) ... ok
sklearn.tests.test_common.test_get_params_invariance('FunctionTransformer', <class 'sklearn.preprocessing._function_transformer.FunctionTransformer'>) ... ok
sklearn.tests.test_common.test_get_params_invariance('GMM', <class 'sklearn.mixture.gmm.GMM'>) ... ok
sklearn.tests.test_common.test_get_params_invariance('GaussianNB', <class 'sklearn.naive_bayes.GaussianNB'>) ... ok
sklearn.tests.test_common.test_get_params_invariance('GaussianProcess', <class 'sklearn.gaussian_process.gaussian_process.GaussianProcess'>) ... ok
sklearn.tests.test_common.test_get_params_invariance('GaussianRandomProjection', <class 'sklearn.random_projection.GaussianRandomProjection'>) ... ok
sklearn.tests.test_common.test_get_params_invariance('GenericUnivariateSelect', <class 'sklearn.feature_selection.univariate_selection.GenericUnivariateSelect'>) ... ok
sklearn.tests.test_common.test_get_params_invariance('GradientBoostingClassifier', <class 'sklearn.ensemble.gradient_boosting.GradientBoostingClassifier'>) ... ok
sklearn.tests.test_common.test_get_params_invariance('GradientBoostingRegressor', <class 'sklearn.ensemble.gradient_boosting.GradientBoostingRegressor'>) ... ok
sklearn.tests.test_common.test_get_params_invariance('GraphLasso', <class 'sklearn.covariance.graph_lasso_.GraphLasso'>) ... ok
sklearn.tests.test_common.test_get_params_invariance('GraphLassoCV', <class 'sklearn.covariance.graph_lasso_.GraphLassoCV'>) ... ok
sklearn.tests.test_common.test_get_params_invariance('GridSearchCV', <class 'sklearn.grid_search.GridSearchCV'>) ... ok
sklearn.tests.test_common.test_get_params_invariance('Imputer', <class 'sklearn.preprocessing.imputation.Imputer'>) ... ok
sklearn.tests.test_common.test_get_params_invariance('IncrementalPCA', <class 'sklearn.decomposition.incremental_pca.IncrementalPCA'>) ... ok
sklearn.tests.test_common.test_get_params_invariance('Isomap', <class 'sklearn.manifold.isomap.Isomap'>) ... ok
sklearn.tests.test_common.test_get_params_invariance('KMeans', <class 'sklearn.cluster.k_means_.KMeans'>) ... ok
sklearn.tests.test_common.test_get_params_invariance('KNeighborsClassifier', <class 'sklearn.neighbors.classification.KNeighborsClassifier'>) ... ok
sklearn.tests.test_common.test_get_params_invariance('KNeighborsRegressor', <class 'sklearn.neighbors.regression.KNeighborsRegressor'>) ... ok
sklearn.tests.test_common.test_get_params_invariance('KernelCenterer', <class 'sklearn.preprocessing.data.KernelCenterer'>) ... ok
sklearn.tests.test_common.test_get_params_invariance('KernelDensity', <class 'sklearn.neighbors.kde.KernelDensity'>) ... ok
sklearn.tests.test_common.test_get_params_invariance('KernelPCA', <class 'sklearn.decomposition.kernel_pca.KernelPCA'>) ... ok
sklearn.tests.test_common.test_get_params_invariance('KernelRidge', <class 'sklearn.kernel_ridge.KernelRidge'>) ... ok
sklearn.tests.test_common.test_get_params_invariance('LDA', <class 'sklearn.discriminant_analysis.LinearDiscriminantAnalysis'>) ... ok
sklearn.tests.test_common.test_get_params_invariance('LSHForest', <class 'sklearn.neighbors.approximate.LSHForest'>) ... ok
sklearn.tests.test_common.test_get_params_invariance('LabelPropagation', <class 'sklearn.semi_supervised.label_propagation.LabelPropagation'>) ... ok
sklearn.tests.test_common.test_get_params_invariance('LabelSpreading', <class 'sklearn.semi_supervised.label_propagation.LabelSpreading'>) ... ok
sklearn.tests.test_common.test_get_params_invariance('Lars', <class 'sklearn.linear_model.least_angle.Lars'>) ... ok
sklearn.tests.test_common.test_get_params_invariance('LarsCV', <class 'sklearn.linear_model.least_angle.LarsCV'>) ... ok
sklearn.tests.test_common.test_get_params_invariance('Lasso', <class 'sklearn.linear_model.coordinate_descent.Lasso'>) ... ok
sklearn.tests.test_common.test_get_params_invariance('LassoCV', <class 'sklearn.linear_model.coordinate_descent.LassoCV'>) ... ok
sklearn.tests.test_common.test_get_params_invariance('LassoLars', <class 'sklearn.linear_model.least_angle.LassoLars'>) ... ok
sklearn.tests.test_common.test_get_params_invariance('LassoLarsCV', <class 'sklearn.linear_model.least_angle.LassoLarsCV'>) ... ok
sklearn.tests.test_common.test_get_params_invariance('LassoLarsIC', <class 'sklearn.linear_model.least_angle.LassoLarsIC'>) ... ok
sklearn.tests.test_common.test_get_params_invariance('LatentDirichletAllocation', <class 'sklearn.decomposition.online_lda.LatentDirichletAllocation'>) ... ok
sklearn.tests.test_common.test_get_params_invariance('LedoitWolf', <class 'sklearn.covariance.shrunk_covariance_.LedoitWolf'>) ... ok
sklearn.tests.test_common.test_get_params_invariance('LinearDiscriminantAnalysis', <class 'sklearn.discriminant_analysis.LinearDiscriminantAnalysis'>) ... ok
sklearn.tests.test_common.test_get_params_invariance('LinearRegression', <class 'sklearn.linear_model.base.LinearRegression'>) ... ok
sklearn.tests.test_common.test_get_params_invariance('LinearSVC', <class 'sklearn.svm.classes.LinearSVC'>) ... ok
sklearn.tests.test_common.test_get_params_invariance('LinearSVR', <class 'sklearn.svm.classes.LinearSVR'>) ... ok
sklearn.tests.test_common.test_get_params_invariance('LocallyLinearEmbedding', <class 'sklearn.manifold.locally_linear.LocallyLinearEmbedding'>) ... ok
sklearn.tests.test_common.test_get_params_invariance('LogisticRegression', <class 'sklearn.linear_model.logistic.LogisticRegression'>) ... ok
sklearn.tests.test_common.test_get_params_invariance('LogisticRegressionCV', <class 'sklearn.linear_model.logistic.LogisticRegressionCV'>) ... ok
sklearn.tests.test_common.test_get_params_invariance('MDS', <class 'sklearn.manifold.mds.MDS'>) ... ok
sklearn.tests.test_common.test_get_params_invariance('MaxAbsScaler', <class 'sklearn.preprocessing.data.MaxAbsScaler'>) ... ok
sklearn.tests.test_common.test_get_params_invariance('MeanShift', <class 'sklearn.cluster.mean_shift_.MeanShift'>) ... ok
sklearn.tests.test_common.test_get_params_invariance('MinCovDet', <class 'sklearn.covariance.robust_covariance.MinCovDet'>) ... ok
sklearn.tests.test_common.test_get_params_invariance('MinMaxScaler', <class 'sklearn.preprocessing.data.MinMaxScaler'>) ... ok
sklearn.tests.test_common.test_get_params_invariance('MiniBatchDictionaryLearning', <class 'sklearn.decomposition.dict_learning.MiniBatchDictionaryLearning'>) ... ok
sklearn.tests.test_common.test_get_params_invariance('MiniBatchKMeans', <class 'sklearn.cluster.k_means_.MiniBatchKMeans'>) ... ok
sklearn.tests.test_common.test_get_params_invariance('MiniBatchSparsePCA', <class 'sklearn.decomposition.sparse_pca.MiniBatchSparsePCA'>) ... ok
sklearn.tests.test_common.test_get_params_invariance('MultiTaskElasticNet', <class 'sklearn.linear_model.coordinate_descent.MultiTaskElasticNet'>) ... ok
sklearn.tests.test_common.test_get_params_invariance('MultiTaskElasticNetCV', <class 'sklearn.linear_model.coordinate_descent.MultiTaskElasticNetCV'>) ... ok
sklearn.tests.test_common.test_get_params_invariance('MultiTaskLasso', <class 'sklearn.linear_model.coordinate_descent.MultiTaskLasso'>) ... ok
sklearn.tests.test_common.test_get_params_invariance('MultiTaskLassoCV', <class 'sklearn.linear_model.coordinate_descent.MultiTaskLassoCV'>) ... ok
sklearn.tests.test_common.test_get_params_invariance('MultinomialNB', <class 'sklearn.naive_bayes.MultinomialNB'>) ... ok
sklearn.tests.test_common.test_get_params_invariance('NMF', <class 'sklearn.decomposition.nmf.NMF'>) ... ok
sklearn.tests.test_common.test_get_params_invariance('NearestCentroid', <class 'sklearn.neighbors.nearest_centroid.NearestCentroid'>) ... ok
sklearn.tests.test_common.test_get_params_invariance('NearestNeighbors', <class 'sklearn.neighbors.unsupervised.NearestNeighbors'>) ... ok
sklearn.tests.test_common.test_get_params_invariance('Normalizer', <class 'sklearn.preprocessing.data.Normalizer'>) ... ok
sklearn.tests.test_common.test_get_params_invariance('NuSVC', <class 'sklearn.svm.classes.NuSVC'>) ... ok
sklearn.tests.test_common.test_get_params_invariance('NuSVR', <class 'sklearn.svm.classes.NuSVR'>) ... ok
sklearn.tests.test_common.test_get_params_invariance('Nystroem', <class 'sklearn.kernel_approximation.Nystroem'>) ... ok
sklearn.tests.test_common.test_get_params_invariance('OAS', <class 'sklearn.covariance.shrunk_covariance_.OAS'>) ... ok
sklearn.tests.test_common.test_get_params_invariance('OneClassSVM', <class 'sklearn.svm.classes.OneClassSVM'>) ... ok
sklearn.tests.test_common.test_get_params_invariance('OrthogonalMatchingPursuit', <class 'sklearn.linear_model.omp.OrthogonalMatchingPursuit'>) ... ok
sklearn.tests.test_common.test_get_params_invariance('OrthogonalMatchingPursuitCV', <class 'sklearn.linear_model.omp.OrthogonalMatchingPursuitCV'>) ... ok
sklearn.tests.test_common.test_get_params_invariance('PCA', <class 'sklearn.decomposition.pca.PCA'>) ... ok
sklearn.tests.test_common.test_get_params_invariance('PLSCanonical', <class 'sklearn.cross_decomposition.pls_.PLSCanonical'>) ... ok
sklearn.tests.test_common.test_get_params_invariance('PLSRegression', <class 'sklearn.cross_decomposition.pls_.PLSRegression'>) ... ok
sklearn.tests.test_common.test_get_params_invariance('PLSSVD', <class 'sklearn.cross_decomposition.pls_.PLSSVD'>) ... ok
sklearn.tests.test_common.test_get_params_invariance('PassiveAggressiveClassifier', <class 'sklearn.linear_model.passive_aggressive.PassiveAggressiveClassifier'>) ... ok
sklearn.tests.test_common.test_get_params_invariance('PassiveAggressiveRegressor', <class 'sklearn.linear_model.passive_aggressive.PassiveAggressiveRegressor'>) ... ok
sklearn.tests.test_common.test_get_params_invariance('Perceptron', <class 'sklearn.linear_model.perceptron.Perceptron'>) ... ok
sklearn.tests.test_common.test_get_params_invariance('Pipeline', <class 'sklearn.pipeline.Pipeline'>) ... ok
sklearn.tests.test_common.test_get_params_invariance('ProjectedGradientNMF', <class 'sklearn.decomposition.nmf.ProjectedGradientNMF'>) ... ok
sklearn.tests.test_common.test_get_params_invariance('QDA', <class 'sklearn.discriminant_analysis.QuadraticDiscriminantAnalysis'>) ... ok
sklearn.tests.test_common.test_get_params_invariance('QuadraticDiscriminantAnalysis', <class 'sklearn.discriminant_analysis.QuadraticDiscriminantAnalysis'>) ... ok
sklearn.tests.test_common.test_get_params_invariance('RANSACRegressor', <class 'sklearn.linear_model.ransac.RANSACRegressor'>) ... ok
sklearn.tests.test_common.test_get_params_invariance('RBFSampler', <class 'sklearn.kernel_approximation.RBFSampler'>) ... ok
sklearn.tests.test_common.test_get_params_invariance('RadiusNeighborsClassifier', <class 'sklearn.neighbors.classification.RadiusNeighborsClassifier'>) ... ok
sklearn.tests.test_common.test_get_params_invariance('RadiusNeighborsRegressor', <class 'sklearn.neighbors.regression.RadiusNeighborsRegressor'>) ... ok
sklearn.tests.test_common.test_get_params_invariance('RandomForestClassifier', <class 'sklearn.ensemble.forest.RandomForestClassifier'>) ... ok
sklearn.tests.test_common.test_get_params_invariance('RandomForestRegressor', <class 'sklearn.ensemble.forest.RandomForestRegressor'>) ... ok
sklearn.tests.test_common.test_get_params_invariance('RandomizedLasso', <class 'sklearn.linear_model.randomized_l1.RandomizedLasso'>) ... ok
sklearn.tests.test_common.test_get_params_invariance('RandomizedLogisticRegression', <class 'sklearn.linear_model.randomized_l1.RandomizedLogisticRegression'>) ... ok
sklearn.tests.test_common.test_get_params_invariance('RandomizedPCA', <class 'sklearn.decomposition.pca.RandomizedPCA'>) ... ok
sklearn.tests.test_common.test_get_params_invariance('RandomizedSearchCV', <class 'sklearn.grid_search.RandomizedSearchCV'>) ... ok
sklearn.tests.test_common.test_get_params_invariance('Ridge', <class 'sklearn.linear_model.ridge.Ridge'>) ... ok
sklearn.tests.test_common.test_get_params_invariance('RidgeCV', <class 'sklearn.linear_model.ridge.RidgeCV'>) ... ok
sklearn.tests.test_common.test_get_params_invariance('RidgeClassifier', <class 'sklearn.linear_model.ridge.RidgeClassifier'>) ... ok
sklearn.tests.test_common.test_get_params_invariance('RidgeClassifierCV', <class 'sklearn.linear_model.ridge.RidgeClassifierCV'>) ... ok
sklearn.tests.test_common.test_get_params_invariance('RobustScaler', <class 'sklearn.preprocessing.data.RobustScaler'>) ... ok
sklearn.tests.test_common.test_get_params_invariance('SGDClassifier', <class 'sklearn.linear_model.stochastic_gradient.SGDClassifier'>) ... ok
sklearn.tests.test_common.test_get_params_invariance('SGDRegressor', <class 'sklearn.linear_model.stochastic_gradient.SGDRegressor'>) ... ok
sklearn.tests.test_common.test_get_params_invariance('SVC', <class 'sklearn.svm.classes.SVC'>) ... ok
sklearn.tests.test_common.test_get_params_invariance('SVR', <class 'sklearn.svm.classes.SVR'>) ... ok
sklearn.tests.test_common.test_get_params_invariance('SelectFdr', <class 'sklearn.feature_selection.univariate_selection.SelectFdr'>) ... ok
sklearn.tests.test_common.test_get_params_invariance('SelectFpr', <class 'sklearn.feature_selection.univariate_selection.SelectFpr'>) ... ok
sklearn.tests.test_common.test_get_params_invariance('SelectFromModel', <class 'sklearn.feature_selection.from_model.SelectFromModel'>) ... ok
sklearn.tests.test_common.test_get_params_invariance('SelectFwe', <class 'sklearn.feature_selection.univariate_selection.SelectFwe'>) ... ok
sklearn.tests.test_common.test_get_params_invariance('SelectKBest', <class 'sklearn.feature_selection.univariate_selection.SelectKBest'>) ... ok
sklearn.tests.test_common.test_get_params_invariance('SelectPercentile', <class 'sklearn.feature_selection.univariate_selection.SelectPercentile'>) ... ok
sklearn.tests.test_common.test_get_params_invariance('ShrunkCovariance', <class 'sklearn.covariance.shrunk_covariance_.ShrunkCovariance'>) ... ok
sklearn.tests.test_common.test_get_params_invariance('SkewedChi2Sampler', <class 'sklearn.kernel_approximation.SkewedChi2Sampler'>) ... ok
sklearn.tests.test_common.test_get_params_invariance('SparsePCA', <class 'sklearn.decomposition.sparse_pca.SparsePCA'>) ... ok
sklearn.tests.test_common.test_get_params_invariance('SparseRandomProjection', <class 'sklearn.random_projection.SparseRandomProjection'>) ... ok
sklearn.tests.test_common.test_get_params_invariance('SpectralBiclustering', <class 'sklearn.cluster.bicluster.SpectralBiclustering'>) ... ok
sklearn.tests.test_common.test_get_params_invariance('SpectralClustering', <class 'sklearn.cluster.spectral.SpectralClustering'>) ... ok
sklearn.tests.test_common.test_get_params_invariance('SpectralCoclustering', <class 'sklearn.cluster.bicluster.SpectralCoclustering'>) ... ok
sklearn.tests.test_common.test_get_params_invariance('SpectralEmbedding', <class 'sklearn.manifold.spectral_embedding_.SpectralEmbedding'>) ... ok
sklearn.tests.test_common.test_get_params_invariance('StandardScaler', <class 'sklearn.preprocessing.data.StandardScaler'>) ... ok
sklearn.tests.test_common.test_get_params_invariance('TSNE', <class 'sklearn.manifold.t_sne.TSNE'>) ... ok
sklearn.tests.test_common.test_get_params_invariance('TheilSenRegressor', <class 'sklearn.linear_model.theil_sen.TheilSenRegressor'>) ... ok
sklearn.tests.test_common.test_get_params_invariance('VBGMM', <class 'sklearn.mixture.dpgmm.VBGMM'>) ... ok
sklearn.tests.test_common.test_get_params_invariance('VarianceThreshold', <class 'sklearn.feature_selection.variance_threshold.VarianceThreshold'>) ... ok
sklearn.tests.test_common.test_get_params_invariance('_BaseRidgeCV', <class 'sklearn.linear_model.ridge._BaseRidgeCV'>) ... ok
sklearn.tests.test_common.test_get_params_invariance('_ConstantPredictor', <class 'sklearn.multiclass._ConstantPredictor'>) ... ok
sklearn.tests.test_common.test_get_params_invariance('_RidgeGCV', <class 'sklearn.linear_model.ridge._RidgeGCV'>) ... ok
sklearn.tests.test_common.test_import_all_consistency ... 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_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_cross_val_generator_with_default_indices ... 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_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 ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/linear_model/sag.py:267: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
"the coef_ did not converge", ConvergenceWarning)
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_qda ... ok
sklearn.tests.test_discriminant_analysis.test_qda_priors ... ok
sklearn.tests.test_discriminant_analysis.test_qda_store_covariances ... ok
sklearn.tests.test_discriminant_analysis.test_qda_regularization ... ok
sklearn.tests.test_discriminant_analysis.test_deprecated_lda_qda_deprecation ... ok
sklearn.tests.test_discriminant_analysis.test_covariance ... 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_grid_search.test_parameter_grid ... ok
sklearn.tests.test_grid_search.test_grid_search ... [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_one_grid_point ... ok
sklearn.tests.test_grid_search.test_grid_search_bad_param_grid ... 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_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_init.test_import_skl ... ok
sklearn.tests.test_isotonic.test_permutation_invariance ... 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_zero_weight_loop ... 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_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_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_metaestimators.test_metaestimator_delegation ... ok
sklearn.tests.test_multiclass.test_ovr_exceptions ... ok
sklearn.tests.test_multiclass.test_ovr_fit_predict ... 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_deprecated ... 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_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_ecoc_exceptions ... ok
sklearn.tests.test_multiclass.test_ecoc_fit_predict ... ok
sklearn.tests.test_multiclass.test_ecoc_gridsearch ... ok
sklearn.tests.test_naive_bayes.test_gnb ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/naive_bayes.py:361: VisibleDeprecationWarning: boolean index did not match indexed array along dimension 0; dimension is 6 but corresponding boolean dimension is 2
(y[~unique_y_in_classes], classes))
ok
sklearn.tests.test_naive_bayes.test_gnb_prior ... ok
Test whether sample weights are properly used in GNB. ... ok
sklearn.tests.test_naive_bayes.test_discrete_prior ... ok
sklearn.tests.test_naive_bayes.test_mnnb ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python2.7/dist-packages/sklearn/naive_bayes.py:420: 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'>,) ... 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_pipeline.test_pipeline_init ... 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_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_feature_union ... ok
sklearn.tests.test_pipeline.test_make_union ... ok
sklearn.tests.test_pipeline.test_pipeline_transform ... ok
sklearn.tests.test_pipeline.test_pipeline_fit_transform ... 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_X1d_inverse_transform ... 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 0xb42c37b0>,) ... ok
sklearn.tests.test_random_projection.test_basic_property_of_random_matrix(<function sparse_random_matrix at 0xb42c37b0>,) ... ok
sklearn.tests.test_random_projection.test_basic_property_of_random_matrix(<function sparse_random_matrix at 0xb42c37b0>,) ... ok
sklearn.tests.test_random_projection.test_basic_property_of_random_matrix(<function gaussian_random_matrix at 0xb42c3770>,) ... ok
sklearn.tests.test_random_projection.test_basic_property_of_random_matrix(<function gaussian_random_matrix at 0xb42c3770>,) ... ok
sklearn.tests.test_random_projection.test_basic_property_of_random_matrix(<function gaussian_random_matrix at 0xb42c3770>,) ... ok
sklearn.tests.test_random_projection.test_basic_property_of_random_matrix(<function sparse_random_matrix at 0xb42c37b0>,) ... ok
sklearn.tests.test_random_projection.test_basic_property_of_random_matrix(<function <lambda> at 0xb1e7e6b0>,) ... 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 5343 tests in 1461.833s
OK (SKIP=28)
Optimization terminated successfully.
Current function value: 0.000000
Iterations: 10
Function evaluations: 11
Gradient evaluations: 20
Hessian evaluations: 40
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 2.421s
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 "3.5" | grep -q '^3' && PY=3 || PY=3.5; \
export PYTHONPATH=`/bin/ls -d $PWD/debian/tmp/usr/lib/python$PY/*/`; \
export MPLCONFIGDIR=/<<PKGBUILDDIR>>/build HOME=/<<PKGBUILDDIR>>/build; \
export JOBLIB_MULTIPROCESSING=0; \
cd build/; python3.5 /usr/bin/nosetests -s -v sklearn && \
{ python3.5 /usr/bin/nosetests -v --with-doctest --doctest-extension=rst ../doc/ || : ; } # doctests are failing ATM
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/lda.py:4: DeprecationWarning: lda.LDA has been moved to discriminant_analysis.LinearDiscriminantAnalysis in 0.17 and will be removed in 0.19
"in 0.17 and will be removed in 0.19", DeprecationWarning)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/qda.py:4: DeprecationWarning: qda.QDA has been moved to discriminant_analysis.QuadraticDiscriminantAnalysis in 0.17 and will be removed in 0.19.
"in 0.17 and will be removed in 0.19.", 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_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_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 ... 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_k_means.test_kmeans_dtype ... 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_input_dtypes ... 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_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_k_means_plus_plus_init_2_jobs ... 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_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_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_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_outlier_detection ... 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: Test too slow.
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:122: 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:143: 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:159: 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_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
/usr/lib/python3/dist-packages/nose/util.py:453: DeprecationWarning: inspect.getargspec() is deprecated, use inspect.signature() instead
inspect.getargspec(func)
sklearn.datasets.tests.test_covtype.test_fetch ... SKIP: Covertype 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_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.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 ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/coordinate_descent.py:466: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations
ConvergenceWarning)
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_whitening ... ok
sklearn.decomposition.tests.test_kernel_pca.test_kernel_pca ... ok
sklearn.decomposition.tests.test_kernel_pca.test_invalid_parameters ... 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_initialize_close ... ok
sklearn.decomposition.tests.test_nmf.test_initialize_variants ... ok
sklearn.decomposition.tests.test_nmf.test_nls_nn_output ... ok
sklearn.decomposition.tests.test_nmf.test_nls_close ... ok
sklearn.decomposition.tests.test_nmf.test_safe_compute_error ... ok
sklearn.decomposition.tests.test_nmf.test_n_components_greater_n_features ... ok
sklearn.decomposition.tests.test_nmf.test_nmf_fit_close ... ok
sklearn.decomposition.tests.test_nmf.test_nmf_fit_nn_output ... ok
sklearn.decomposition.tests.test_nmf.test_nmf_transform ... ok
sklearn.decomposition.tests.test_nmf.test_non_negative_factorization_checking ... ok
sklearn.decomposition.tests.test_nmf.test_non_negative_factorization_consistency ... ok
sklearn.decomposition.tests.test_nmf.test_parameter_checking ... ok
sklearn.decomposition.tests.test_nmf.test_projgrad_nmf_sparseness ... ok
sklearn.decomposition.tests.test_nmf.test_sparse_input ... ok
sklearn.decomposition.tests.test_nmf.test_sparse_transform ... ok
sklearn.decomposition.tests.test_online_lda.test_lda_default_prior_params ... 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
Test LDA on empty document (all-zero rows). ... ok
Test Cython version of Dirichlet expectation calculation. ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/decomposition/tests/test_online_lda.py:332: 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:2342: RuntimeWarning: underflow encountered in multiply
result = less_equal(abs(x-y), atol + rtol * abs(y))
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_no_empty_slice_warning ... ok
sklearn.decomposition.tests.test_pca.test_whitening ... 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_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.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:681: 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:681: 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:681: 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:681: 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:681: 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:681: 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:681: 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:681: 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:681: 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:681: 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:681: 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:681: 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:681: 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:681: 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:681: 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:681: 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_base.test_base ... ok
sklearn.ensemble.tests.test_base.test_base_zero_n_estimators ... ok
sklearn.ensemble.tests.test_forest.test_classification_toy('RandomForestClassifier',) ... ok
sklearn.ensemble.tests.test_forest.test_classification_toy('ExtraTreesClassifier',) ... 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_iris('ExtraTreesClassifier', 'gini') ... ok
sklearn.ensemble.tests.test_forest.test_iris('ExtraTreesClassifier', 'entropy') ... ok
sklearn.ensemble.tests.test_forest.test_boston('RandomForestRegressor', 'mse') ... ok
sklearn.ensemble.tests.test_forest.test_boston('ExtraTreesRegressor', 'mse') ... ok
sklearn.ensemble.tests.test_forest.test_regressor_attributes('RandomForestRegressor',) ... ok
sklearn.ensemble.tests.test_forest.test_regressor_attributes('ExtraTreesRegressor',) ... ok
sklearn.ensemble.tests.test_forest.test_probability('RandomForestClassifier',) ... ok
sklearn.ensemble.tests.test_forest.test_probability('ExtraTreesClassifier',) ... 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_unfitted_feature_importances('RandomForestRegressor',) ... 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('RandomTreesEmbedding',) ... ok
sklearn.ensemble.tests.test_forest.test_unfitted_feature_importances('ExtraTreesClassifier',) ... 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('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('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('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_raise_error('RandomForestRegressor',) ... 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('RandomTreesEmbedding',) ... ok
sklearn.ensemble.tests.test_forest.test_oob_score_raise_error('ExtraTreesClassifier',) ... ok
sklearn.ensemble.tests.test_forest.test_gridsearch('RandomForestClassifier',) ... ok
sklearn.ensemble.tests.test_forest.test_gridsearch('ExtraTreesClassifier',) ... 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('ExtraTreesClassifier', array([[ 5.8, 2.8, 5.1, 2.4], ... 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_parallel('ExtraTreesRegressor', array([[ 3.16360000e+00, 0.00000000e+00, 1.81000000e+01, ..., ... 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('ExtraTreesClassifier', array([[ 5.8, 2.8, 5.1, 2.4], ... 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_pickle('ExtraTreesRegressor', array([[ 3.16360000e+00, 0.00000000e+00, 1.81000000e+01, ..., ... ok
sklearn.ensemble.tests.test_forest.test_multioutput('RandomForestClassifier',) ... ok
sklearn.ensemble.tests.test_forest.test_multioutput('ExtraTreesClassifier',) ... ok
sklearn.ensemble.tests.test_forest.test_multioutput('RandomForestRegressor',) ... ok
sklearn.ensemble.tests.test_forest.test_multioutput('ExtraTreesRegressor',) ... ok
sklearn.ensemble.tests.test_forest.test_classes_shape('RandomForestClassifier',) ... ok
sklearn.ensemble.tests.test_forest.test_classes_shape('ExtraTreesClassifier',) ... 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 ... 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('RandomForestRegressor', array([[ 1.62434536e+00, -6.11756414e-01, -5.28171752e-01, ... ok
sklearn.ensemble.tests.test_forest.test_max_leaf_nodes_max_depth('RandomForestClassifier', array([[ 1.62434536e+00, -6.11756414e-01, -5.28171752e-01, ... ok
sklearn.ensemble.tests.test_forest.test_max_leaf_nodes_max_depth('ExtraTreesRegressor', array([[ 1.62434536e+00, -6.11756414e-01, -5.28171752e-01, ... ok
sklearn.ensemble.tests.test_forest.test_max_leaf_nodes_max_depth('RandomTreesEmbedding', array([[ 1.62434536e+00, -6.11756414e-01, -5.28171752e-01, ... ok
sklearn.ensemble.tests.test_forest.test_max_leaf_nodes_max_depth('ExtraTreesClassifier', array([[ 1.62434536e+00, -6.11756414e-01, -5.28171752e-01, ... ok
sklearn.ensemble.tests.test_forest.test_importances ... SKIP: Test skipped on 32bit platforms.
sklearn.ensemble.tests.test_forest.test_min_samples_leaf('RandomForestRegressor', array([[ 1.62434542e+00, -6.11756384e-01, -5.28171778e-01, ... ok
sklearn.ensemble.tests.test_forest.test_min_samples_leaf('RandomForestClassifier', array([[ 1.62434542e+00, -6.11756384e-01, -5.28171778e-01, ... ok
sklearn.ensemble.tests.test_forest.test_min_samples_leaf('ExtraTreesRegressor', array([[ 1.62434542e+00, -6.11756384e-01, -5.28171778e-01, ... ok
sklearn.ensemble.tests.test_forest.test_min_samples_leaf('RandomTreesEmbedding', array([[ 1.62434542e+00, -6.11756384e-01, -5.28171778e-01, ... ok
sklearn.ensemble.tests.test_forest.test_min_samples_leaf('ExtraTreesClassifier', array([[ 1.62434542e+00, -6.11756384e-01, -5.28171778e-01, ... ok
sklearn.ensemble.tests.test_forest.test_min_weight_fraction_leaf('RandomForestRegressor', array([[ 1.62434542e+00, -6.11756384e-01, -5.28171778e-01, ... ok
sklearn.ensemble.tests.test_forest.test_min_weight_fraction_leaf('RandomForestClassifier', array([[ 1.62434542e+00, -6.11756384e-01, -5.28171778e-01, ... ok
sklearn.ensemble.tests.test_forest.test_min_weight_fraction_leaf('ExtraTreesRegressor', array([[ 1.62434542e+00, -6.11756384e-01, -5.28171778e-01, ... ok
sklearn.ensemble.tests.test_forest.test_min_weight_fraction_leaf('RandomTreesEmbedding', array([[ 1.62434542e+00, -6.11756384e-01, -5.28171778e-01, ... ok
sklearn.ensemble.tests.test_forest.test_min_weight_fraction_leaf('ExtraTreesClassifier', array([[ 1.62434542e+00, -6.11756384e-01, -5.28171778e-01, ... 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('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('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_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('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('RandomForestRegressor', <class 'numpy.float64'>) ... ok
sklearn.ensemble.tests.test_forest.test_memory_layout('RandomForestRegressor', <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_class_weights('RandomForestClassifier',) ... ok
sklearn.ensemble.tests.test_forest.test_class_weights('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_balanced_and_bootstrap_multi_output('ExtraTreesClassifier',) ... ok
sklearn.ensemble.tests.test_forest.test_class_weight_errors('RandomForestClassifier',) ... ok
sklearn.ensemble.tests.test_forest.test_class_weight_errors('ExtraTreesClassifier',) ... ok
sklearn.ensemble.tests.test_forest.test_warm_start('RandomForestRegressor',) ... 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('RandomTreesEmbedding',) ... ok
sklearn.ensemble.tests.test_forest.test_warm_start('ExtraTreesClassifier',) ... ok
sklearn.ensemble.tests.test_forest.test_warm_start_clear('RandomForestRegressor',) ... 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('RandomTreesEmbedding',) ... ok
sklearn.ensemble.tests.test_forest.test_warm_start_clear('ExtraTreesClassifier',) ... 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('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('RandomTreesEmbedding',) ... ok
sklearn.ensemble.tests.test_forest.test_warm_start_smaller_n_estimators('ExtraTreesClassifier',) ... 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('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('RandomTreesEmbedding',) ... ok
sklearn.ensemble.tests.test_forest.test_warm_start_equal_n_estimators('ExtraTreesClassifier',) ... ok
sklearn.ensemble.tests.test_forest.test_warm_start_oob('RandomForestClassifier',) ... ok
sklearn.ensemble.tests.test_forest.test_warm_start_oob('ExtraTreesClassifier',) ... ok
sklearn.ensemble.tests.test_forest.test_warm_start_oob('RandomForestRegressor',) ... ok
sklearn.ensemble.tests.test_forest.test_warm_start_oob('ExtraTreesRegressor',) ... ok
sklearn.ensemble.tests.test_forest.test_dtype_convert ... 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_more_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_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_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_sample_weight_deviance ... 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 ... /usr/lib/python3/dist-packages/matplotlib/font_manager.py:273: UserWarning: Matplotlib is building the font cache using fc-list. This may take a moment.
warnings.warn('Matplotlib is building the font cache using fc-list. This may take a moment.')
/usr/lib/python3/dist-packages/matplotlib/font_manager.py:273: UserWarning: Matplotlib is building the font cache using fc-list. This may take a moment.
warnings.warn('Matplotlib is building the font cache using fc-list. This may take a moment.')
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
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. ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/extmath.py:343: RuntimeWarning: underflow encountered in exp
out = np.log(np.sum(np.exp(arr - vmax), axis=0))
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/naive_bayes.py:103: RuntimeWarning: underflow encountered in exp
return np.exp(self.predict_log_proba(X))
ok
Check if error is raised for multilabel classification. ... ok
Check GridSearch support. ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/extmath.py:343: RuntimeWarning: underflow encountered in exp
out = np.log(np.sum(np.exp(arr - vmax), axis=0))
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/naive_bayes.py:103: RuntimeWarning: underflow encountered in exp
return np.exp(self.predict_log_proba(X))
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/extmath.py:343: RuntimeWarning: underflow encountered in exp
out = np.log(np.sum(np.exp(arr - vmax), axis=0))
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/naive_bayes.py:103: RuntimeWarning: underflow encountered in exp
return np.exp(self.predict_log_proba(X))
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/extmath.py:343: RuntimeWarning: underflow encountered in exp
out = np.log(np.sum(np.exp(arr - vmax), axis=0))
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/naive_bayes.py:103: RuntimeWarning: underflow encountered in exp
return np.exp(self.predict_log_proba(X))
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/extmath.py:343: RuntimeWarning: underflow encountered in exp
out = np.log(np.sum(np.exp(arr - vmax), axis=0))
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/naive_bayes.py:103: RuntimeWarning: underflow encountered in exp
return np.exp(self.predict_log_proba(X))
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/extmath.py:343: RuntimeWarning: underflow encountered in exp
out = np.log(np.sum(np.exp(arr - vmax), axis=0))
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/naive_bayes.py:103: RuntimeWarning: underflow encountered in exp
return np.exp(self.predict_log_proba(X))
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/extmath.py:343: RuntimeWarning: underflow encountered in exp
out = np.log(np.sum(np.exp(arr - vmax), axis=0))
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/naive_bayes.py:103: RuntimeWarning: underflow encountered in exp
return np.exp(self.predict_log_proba(X))
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/extmath.py:343: RuntimeWarning: underflow encountered in exp
out = np.log(np.sum(np.exp(arr - vmax), axis=0))
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/naive_bayes.py:103: RuntimeWarning: underflow encountered in exp
return np.exp(self.predict_log_proba(X))
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/extmath.py:343: RuntimeWarning: underflow encountered in exp
out = np.log(np.sum(np.exp(arr - vmax), axis=0))
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/naive_bayes.py:103: 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_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_strings ... ok
sklearn.feature_extraction.tests.test_feature_hasher.test_feature_hasher_pairs ... 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_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_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_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_hashing_vectorizer ... 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_hashed_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_vectorizer_unicode ... 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_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_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_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_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_from_model.test_transform_linear_model ... ok
sklearn.feature_selection.tests.test_from_model.test_invalid_input ... ok
Test that SelectFromModel fits on a clone of the estimator. ... ok
sklearn.feature_selection.tests.test_from_model.test_partial_fit ... ok
sklearn.feature_selection.tests.test_from_model.test_warm_start ... ok
Test all possible combinations of the prefit parameter. ... ok
sklearn.feature_selection.tests.test_from_model.test_threshold_string ... ok
Test that the threshold can be set without refitting the model. ... ok
sklearn.feature_selection.tests.test_from_model.test_feature_importances ... SKIP: Test skipped on 32bit platforms.
sklearn.feature_selection.tests.test_rfe.test_rfe_set_params ... ok
sklearn.feature_selection.tests.test_rfe.test_rfe_features_importance ... ok
sklearn.feature_selection.tests.test_rfe.test_rfe_deprecation_estimator_params ... 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_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_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 ... 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 ... ok
sklearn.gaussian_process.tests.test_gaussian_process.test_ordinary_kriging ... ok
sklearn.gaussian_process.tests.test_gaussian_process.test_no_normalize ... 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:97: 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:1033: RuntimeWarning: underflow encountered in exp
np.exp(-1.0 * (singular_ind / effective_rank) ** 2))
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_center_data ... ok
sklearn.linear_model.tests.test_base.test_center_data_multioutput ... ok
sklearn.linear_model.tests.test_base.test_center_data_weighted ... ok
sklearn.linear_model.tests.test_base.test_sparse_center_data ... ok
sklearn.linear_model.tests.test_base.test_csr_sparse_center_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_toy_bayesian_ridge_object ... ok
sklearn.linear_model.tests.test_bayes.test_toy_ard_object ... 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_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:1687: UserWarning: Objective did not converge, you might want to increase the number of iterations
warnings.warn('Objective did not converge, you might want'
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/coordinate_descent.py:1687: UserWarning: Objective did not converge, you might want to increase the number of iterations
warnings.warn('Objective did not converge, you might want'
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_deprection_precompute_enet ... 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 ... 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_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_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_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_multitarget ... 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_lasso_lars_ic ... ok
sklearn.linear_model.tests.test_least_angle.test_no_warning_for_zero_mse ... 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_logistic.test_predict_2_classes ... ok
sklearn.linear_model.tests.test_logistic.test_error ... 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_liblinear_dual_random_state ... ok
sklearn.linear_model.tests.test_logistic.test_logistic_loss_and_grad ... ok
sklearn.linear_model.tests.test_logistic.test_max_iter ... ok
sklearn.linear_model.tests.test_logistic.test_warm_start ... 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_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_multinomial_logistic_regression_with_classweight_auto ... ok
sklearn.linear_model.tests.test_logistic.test_logistic_regression_convergence_warnings ... iter 1 act 9.266e+00 pre 8.148e+00 delta 1.024e+00 f 1.386e+01 |g| 2.015e+01 CG 2
iter 2 act 1.450e+00 pre 1.220e+00 delta 1.024e+00 f 4.597e+00 |g| 5.064e+00 CG 3
ok
sklearn.linear_model.tests.test_logistic.test_logistic_regression_multinomial ... 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_logreg_intercept_scaling ... ok
sklearn.linear_model.tests.test_logistic.test_logreg_intercept_scaling_zero ... 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_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:391: 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:380: 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:391: 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_lasso_stability_path ... ok
sklearn.linear_model.tests.test_randomized_l1.test_randomized_lasso ... 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_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_default_residual_threshold ... ok
sklearn.linear_model.tests.test_ransac.test_ransac_dynamic_max_trials ... 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 ... 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_dense_sparse ... ok
sklearn.linear_model.tests.test_ridge.test_n_iter ... 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 ... 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
sklearn.linear_model.tests.test_sag.test_get_max_squared_sum ... ok
tests if ValueError is thrown with only one class ... ok
sklearn.linear_model.tests.test_sag.test_step_size_alpha_error ... 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_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_n_iter_param (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:826: 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_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_n_iter_param (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:826: 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_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_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_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.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_entropy ... ok
sklearn.metrics.cluster.tests.test_supervised.test_contingency_matrix ... 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_unsupervised.test_silhouette ... ok
sklearn.metrics.cluster.tests.test_unsupervised.test_no_nan ... ok
sklearn.metrics.cluster.tests.test_unsupervised.test_correct_labelsize ... 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_confusion_matrix_binary ... ok
sklearn.metrics.tests.test_classification.test_cohen_kappa ... 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_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_multiclass_pos_label_none ... ok
sklearn.metrics.tests.test_classification.test_zero_precision_recall ... ok
sklearn.metrics.tests.test_classification.test_confusion_matrix_multiclass ... ok
sklearn.metrics.tests.test_classification.test_confusion_matrix_multiclass_subset_labels ... 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_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_compat ... ok
sklearn.metrics.tests.test_classification.test__check_targets ... 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_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_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_single_sample('weighted_f0.5_score',) ... ok
sklearn.metrics.tests.test_common.test_single_sample('macro_f0.5_score',) ... ok
sklearn.metrics.tests.test_common.test_single_sample('weighted_recall_score',) ... ok
sklearn.metrics.tests.test_common.test_single_sample('cohen_kappa_score',) ... ok
sklearn.metrics.tests.test_common.test_single_sample('unnormalized_accuracy_score',) ... ok
sklearn.metrics.tests.test_common.test_single_sample('micro_f0.5_score',) ... ok
sklearn.metrics.tests.test_common.test_single_sample('micro_f2_score',) ... ok
sklearn.metrics.tests.test_common.test_single_sample('accuracy_score',) ... ok
sklearn.metrics.tests.test_common.test_single_sample('macro_f1_score',) ... ok
sklearn.metrics.tests.test_common.test_single_sample('unnormalized_zero_one_loss',) ... ok
sklearn.metrics.tests.test_common.test_single_sample('zero_one_loss',) ... ok
sklearn.metrics.tests.test_common.test_single_sample('recall_score',) ... ok
sklearn.metrics.tests.test_common.test_single_sample('weighted_precision_score',) ... ok
sklearn.metrics.tests.test_common.test_single_sample('f0.5_score',) ... ok
sklearn.metrics.tests.test_common.test_single_sample('f1_score',) ... ok
sklearn.metrics.tests.test_common.test_single_sample('macro_f2_score',) ... ok
sklearn.metrics.tests.test_common.test_single_sample('f2_score',) ... ok
sklearn.metrics.tests.test_common.test_single_sample('matthews_corrcoef_score',) ... ok
sklearn.metrics.tests.test_common.test_single_sample('micro_precision_score',) ... ok
sklearn.metrics.tests.test_common.test_single_sample('jaccard_similarity_score',) ... ok
sklearn.metrics.tests.test_common.test_single_sample('confusion_matrix',) ... ok
sklearn.metrics.tests.test_common.test_single_sample('micro_f1_score',) ... ok
sklearn.metrics.tests.test_common.test_single_sample('mean_absolute_error',) ... ok
sklearn.metrics.tests.test_common.test_single_sample('median_absolute_error',) ... ok
sklearn.metrics.tests.test_common.test_single_sample('macro_recall_score',) ... ok
sklearn.metrics.tests.test_common.test_single_sample('hamming_loss',) ... ok
sklearn.metrics.tests.test_common.test_single_sample('explained_variance_score',) ... ok
sklearn.metrics.tests.test_common.test_single_sample('micro_recall_score',) ... ok
sklearn.metrics.tests.test_common.test_single_sample('weighted_f2_score',) ... ok
sklearn.metrics.tests.test_common.test_single_sample('precision_score',) ... ok
sklearn.metrics.tests.test_common.test_single_sample('weighted_f1_score',) ... ok
sklearn.metrics.tests.test_common.test_single_sample('unnormalized_jaccard_similarity_score',) ... ok
sklearn.metrics.tests.test_common.test_single_sample('macro_precision_score',) ... 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('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('precision_score',) ... ok
sklearn.metrics.tests.test_common.test_single_sample('recall_score',) ... ok
sklearn.metrics.tests.test_common.test_single_sample('f1_score',) ... ok
sklearn.metrics.tests.test_common.test_single_sample('f2_score',) ... ok
sklearn.metrics.tests.test_common.test_single_sample('f0.5_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('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_multiclasss_classification ... ok
sklearn.metrics.tests.test_common.test_normalize_option_multilabel_classification ... ok
sklearn.metrics.tests.test_common.test_averaging_multiclass('precision_score', array([0, 1, 0, 1, 1, 2, 0, 2, 0, 0, 0, 2, 1, 2, 2, 0, 1, 1, 1, 1, 0, 1, 0, ... ok
sklearn.metrics.tests.test_common.test_averaging_multiclass('recall_score', array([0, 1, 0, 1, 1, 2, 0, 2, 0, 0, 0, 2, 1, 2, 2, 0, 1, 1, 1, 1, 0, 1, 0, ... ok
sklearn.metrics.tests.test_common.test_averaging_multiclass('f1_score', array([0, 1, 0, 1, 1, 2, 0, 2, 0, 0, 0, 2, 1, 2, 2, 0, 1, 1, 1, 1, 0, 1, 0, ... ok
sklearn.metrics.tests.test_common.test_averaging_multiclass('f2_score', array([0, 1, 0, 1, 1, 2, 0, 2, 0, 0, 0, 2, 1, 2, 2, 0, 1, 1, 1, 1, 0, 1, 0, ... ok
sklearn.metrics.tests.test_common.test_averaging_multiclass('f0.5_score', array([0, 1, 0, 1, 1, 2, 0, 2, 0, 0, 0, 2, 1, 2, 2, 0, 1, 1, 1, 1, 0, 1, 0, ... ok
sklearn.metrics.tests.test_common.test_averaging_multilabel('precision_score', array([[0, 1, 0, 0, 1], ... ok
sklearn.metrics.tests.test_common.test_averaging_multilabel('recall_score', array([[0, 1, 0, 0, 1], ... ok
sklearn.metrics.tests.test_common.test_averaging_multilabel('f1_score', array([[0, 1, 0, 0, 1], ... ok
sklearn.metrics.tests.test_common.test_averaging_multilabel('f2_score', array([[0, 1, 0, 0, 1], ... ok
sklearn.metrics.tests.test_common.test_averaging_multilabel('f0.5_score', array([[0, 1, 0, 0, 1], ... ok
sklearn.metrics.tests.test_common.test_averaging_multilabel('roc_auc_score', array([[0, 1, 0, 0, 1], ... ok
sklearn.metrics.tests.test_common.test_averaging_multilabel('average_precision_score', array([[0, 1, 0, 0, 1], ... ok
sklearn.metrics.tests.test_common.test_averaging_multilabel_all_zeroes('precision_score', array([[ 0., 0., 0.], ... ok
sklearn.metrics.tests.test_common.test_averaging_multilabel_all_zeroes('recall_score', array([[ 0., 0., 0.], ... ok
sklearn.metrics.tests.test_common.test_averaging_multilabel_all_zeroes('f1_score', array([[ 0., 0., 0.], ... ok
sklearn.metrics.tests.test_common.test_averaging_multilabel_all_zeroes('f2_score', array([[ 0., 0., 0.], ... ok
sklearn.metrics.tests.test_common.test_averaging_multilabel_all_zeroes('f0.5_score', array([[ 0., 0., 0.], ... ok
sklearn.metrics.tests.test_common.test_averaging_multilabel_all_ones('precision_score', array([[ 1., 1., 1.], ... ok
sklearn.metrics.tests.test_common.test_averaging_multilabel_all_ones('recall_score', array([[ 1., 1., 1.], ... ok
sklearn.metrics.tests.test_common.test_averaging_multilabel_all_ones('f1_score', array([[ 1., 1., 1.], ... ok
sklearn.metrics.tests.test_common.test_averaging_multilabel_all_ones('f2_score', array([[ 1., 1., 1.], ... ok
sklearn.metrics.tests.test_common.test_averaging_multilabel_all_ones('f0.5_score', array([[ 1., 1., 1.], ... ok
sklearn.metrics.tests.test_common.test_sample_weight_invariance('weighted_f0.5_score', functools.partial(<function fbeta_score at 0xb41eefa8>, beta=0.5, average='weighted'), array([0, 1, 1, 0, 1, 1, 1, 1, 1, 1, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, ... ok
sklearn.metrics.tests.test_common.test_sample_weight_invariance('macro_f0.5_score', functools.partial(<function fbeta_score at 0xb41eefa8>, beta=0.5, average='macro'), array([0, 1, 1, 0, 1, 1, 1, 1, 1, 1, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, ... ok
sklearn.metrics.tests.test_common.test_sample_weight_invariance('weighted_recall_score', functools.partial(<function recall_score at 0xb41f7108>, average='weighted'), array([0, 1, 1, 0, 1, 1, 1, 1, 1, 1, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, ... ok
sklearn.metrics.tests.test_common.test_sample_weight_invariance('unnormalized_accuracy_score', functools.partial(<function accuracy_score at 0xb41eec48>, normalize=False), array([0, 1, 1, 0, 1, 1, 1, 1, 1, 1, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, ... ok
sklearn.metrics.tests.test_common.test_sample_weight_invariance('micro_f0.5_score', functools.partial(<function fbeta_score at 0xb41eefa8>, beta=0.5, average='micro'), array([0, 1, 1, 0, 1, 1, 1, 1, 1, 1, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, ... ok
sklearn.metrics.tests.test_common.test_sample_weight_invariance('micro_f2_score', functools.partial(<function fbeta_score at 0xb41eefa8>, beta=2, average='micro'), array([0, 1, 1, 0, 1, 1, 1, 1, 1, 1, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, ... ok
sklearn.metrics.tests.test_common.test_sample_weight_invariance('accuracy_score', <function accuracy_score at 0xb41eec48>, array([0, 1, 1, 0, 1, 1, 1, 1, 1, 1, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, ... ok
sklearn.metrics.tests.test_common.test_sample_weight_invariance('macro_f1_score', functools.partial(<function f1_score at 0xb41eef60>, average='macro'), array([0, 1, 1, 0, 1, 1, 1, 1, 1, 1, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, ... ok
sklearn.metrics.tests.test_common.test_sample_weight_invariance('log_loss', <function log_loss at 0xb41f71e0>, array([0, 1, 1, 0, 1, 1, 1, 1, 1, 1, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, ... ok
sklearn.metrics.tests.test_common.test_sample_weight_invariance('unnormalized_zero_one_loss', functools.partial(<function zero_one_loss at 0xb41eef18>, normalize=False), array([0, 1, 1, 0, 1, 1, 1, 1, 1, 1, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, ... ok
sklearn.metrics.tests.test_common.test_sample_weight_invariance('zero_one_loss', <function zero_one_loss at 0xb41eef18>, array([0, 1, 1, 0, 1, 1, 1, 1, 1, 1, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, ... ok
sklearn.metrics.tests.test_common.test_sample_weight_invariance('recall_score', <function recall_score at 0xb41f7108>, array([0, 1, 1, 0, 1, 1, 1, 1, 1, 1, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, ... ok
sklearn.metrics.tests.test_common.test_sample_weight_invariance('weighted_precision_score', functools.partial(<function precision_score at 0xb41f70c0>, average='weighted'), array([0, 1, 1, 0, 1, 1, 1, 1, 1, 1, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, ... ok
sklearn.metrics.tests.test_common.test_sample_weight_invariance('f0.5_score', functools.partial(<function fbeta_score at 0xb41eefa8>, beta=0.5), array([0, 1, 1, 0, 1, 1, 1, 1, 1, 1, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, ... ok
sklearn.metrics.tests.test_common.test_sample_weight_invariance('f1_score', <function f1_score at 0xb41eef60>, array([0, 1, 1, 0, 1, 1, 1, 1, 1, 1, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, ... ok
sklearn.metrics.tests.test_common.test_sample_weight_invariance('unnormalized_log_loss', functools.partial(<function log_loss at 0xb41f71e0>, normalize=False), array([0, 1, 1, 0, 1, 1, 1, 1, 1, 1, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, ... ok
sklearn.metrics.tests.test_common.test_sample_weight_invariance('macro_f2_score', functools.partial(<function fbeta_score at 0xb41eefa8>, beta=2, average='macro'), array([0, 1, 1, 0, 1, 1, 1, 1, 1, 1, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, ... ok
sklearn.metrics.tests.test_common.test_sample_weight_invariance('f2_score', functools.partial(<function fbeta_score at 0xb41eefa8>, beta=2), array([0, 1, 1, 0, 1, 1, 1, 1, 1, 1, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, ... ok
sklearn.metrics.tests.test_common.test_sample_weight_invariance('micro_precision_score', functools.partial(<function precision_score at 0xb41f70c0>, average='micro'), array([0, 1, 1, 0, 1, 1, 1, 1, 1, 1, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, ... ok
sklearn.metrics.tests.test_common.test_sample_weight_invariance('jaccard_similarity_score', <function jaccard_similarity_score at 0xb41eee88>, array([0, 1, 1, 0, 1, 1, 1, 1, 1, 1, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, ... ok
sklearn.metrics.tests.test_common.test_sample_weight_invariance('hinge_loss', <function hinge_loss at 0xb41f7228>, array([0, 1, 1, 0, 1, 1, 1, 1, 1, 1, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, ... ok
sklearn.metrics.tests.test_common.test_sample_weight_invariance('micro_f1_score', functools.partial(<function f1_score at 0xb41eef60>, average='micro'), array([0, 1, 1, 0, 1, 1, 1, 1, 1, 1, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, ... ok
sklearn.metrics.tests.test_common.test_sample_weight_invariance('mean_absolute_error', <function mean_absolute_error at 0xb42078e8>, array([0, 1, 1, 0, 1, 1, 1, 1, 1, 1, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, ... ok
sklearn.metrics.tests.test_common.test_sample_weight_invariance('macro_recall_score', functools.partial(<function recall_score at 0xb41f7108>, average='macro'), array([0, 1, 1, 0, 1, 1, 1, 1, 1, 1, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, ... ok
sklearn.metrics.tests.test_common.test_sample_weight_invariance('explained_variance_score', <function explained_variance_score at 0xb42079c0>, array([0, 1, 1, 0, 1, 1, 1, 1, 1, 1, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, ... ok
sklearn.metrics.tests.test_common.test_sample_weight_invariance('micro_recall_score', functools.partial(<function recall_score at 0xb41f7108>, average='micro'), array([0, 1, 1, 0, 1, 1, 1, 1, 1, 1, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, ... ok
sklearn.metrics.tests.test_common.test_sample_weight_invariance('weighted_f2_score', functools.partial(<function fbeta_score at 0xb41eefa8>, beta=2, average='weighted'), array([0, 1, 1, 0, 1, 1, 1, 1, 1, 1, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, ... ok
sklearn.metrics.tests.test_common.test_sample_weight_invariance('precision_score', <function precision_score at 0xb41f70c0>, array([0, 1, 1, 0, 1, 1, 1, 1, 1, 1, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, ... ok
sklearn.metrics.tests.test_common.test_sample_weight_invariance('weighted_f1_score', functools.partial(<function f1_score at 0xb41eef60>, average='weighted'), array([0, 1, 1, 0, 1, 1, 1, 1, 1, 1, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, ... ok
sklearn.metrics.tests.test_common.test_sample_weight_invariance('unnormalized_jaccard_similarity_score', functools.partial(<function jaccard_similarity_score at 0xb41eee88>, normalize=False), array([0, 1, 1, 0, 1, 1, 1, 1, 1, 1, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, ... ok
sklearn.metrics.tests.test_common.test_sample_weight_invariance('macro_precision_score', functools.partial(<function precision_score at 0xb41f70c0>, average='macro'), array([0, 1, 1, 0, 1, 1, 1, 1, 1, 1, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, ... ok
sklearn.metrics.tests.test_common.test_sample_weight_invariance('mean_squared_error', <function mean_squared_error at 0xb4207930>, array([0, 1, 1, 0, 1, 1, 1, 1, 1, 1, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, ... ok
sklearn.metrics.tests.test_common.test_sample_weight_invariance('r2_score', functools.partial(<function r2_score at 0xb4207a08>, multioutput='variance_weighted'), array([0, 1, 1, 0, 1, 1, 1, 1, 1, 1, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, ... ok
sklearn.metrics.tests.test_common.test_sample_weight_invariance('weighted_f0.5_score', functools.partial(<function fbeta_score at 0xb41eefa8>, beta=0.5, average='weighted'), array([4, 0, 3, 3, 3, 1, 3, 2, 4, 0, 0, 4, 2, 1, 0, 1, 1, 0, 1, 4, 3, 0, 3, ... ok
sklearn.metrics.tests.test_common.test_sample_weight_invariance('macro_f0.5_score', functools.partial(<function fbeta_score at 0xb41eefa8>, beta=0.5, average='macro'), array([4, 0, 3, 3, 3, 1, 3, 2, 4, 0, 0, 4, 2, 1, 0, 1, 1, 0, 1, 4, 3, 0, 3, ... ok
sklearn.metrics.tests.test_common.test_sample_weight_invariance('weighted_recall_score', functools.partial(<function recall_score at 0xb41f7108>, average='weighted'), array([4, 0, 3, 3, 3, 1, 3, 2, 4, 0, 0, 4, 2, 1, 0, 1, 1, 0, 1, 4, 3, 0, 3, ... ok
sklearn.metrics.tests.test_common.test_sample_weight_invariance('unnormalized_accuracy_score', functools.partial(<function accuracy_score at 0xb41eec48>, normalize=False), array([4, 0, 3, 3, 3, 1, 3, 2, 4, 0, 0, 4, 2, 1, 0, 1, 1, 0, 1, 4, 3, 0, 3, ... ok
sklearn.metrics.tests.test_common.test_sample_weight_invariance('micro_f0.5_score', functools.partial(<function fbeta_score at 0xb41eefa8>, beta=0.5, average='micro'), array([4, 0, 3, 3, 3, 1, 3, 2, 4, 0, 0, 4, 2, 1, 0, 1, 1, 0, 1, 4, 3, 0, 3, ... ok
sklearn.metrics.tests.test_common.test_sample_weight_invariance('micro_f2_score', functools.partial(<function fbeta_score at 0xb41eefa8>, beta=2, average='micro'), array([4, 0, 3, 3, 3, 1, 3, 2, 4, 0, 0, 4, 2, 1, 0, 1, 1, 0, 1, 4, 3, 0, 3, ... ok
sklearn.metrics.tests.test_common.test_sample_weight_invariance('accuracy_score', <function accuracy_score at 0xb41eec48>, array([4, 0, 3, 3, 3, 1, 3, 2, 4, 0, 0, 4, 2, 1, 0, 1, 1, 0, 1, 4, 3, 0, 3, ... ok
sklearn.metrics.tests.test_common.test_sample_weight_invariance('macro_f1_score', functools.partial(<function f1_score at 0xb41eef60>, average='macro'), array([4, 0, 3, 3, 3, 1, 3, 2, 4, 0, 0, 4, 2, 1, 0, 1, 1, 0, 1, 4, 3, 0, 3, ... ok
sklearn.metrics.tests.test_common.test_sample_weight_invariance('log_loss', <function log_loss at 0xb41f71e0>, array([4, 0, 3, 3, 3, 1, 3, 2, 4, 0, 0, 4, 2, 1, 0, 1, 1, 0, 1, 4, 3, 0, 3, ... ok
sklearn.metrics.tests.test_common.test_sample_weight_invariance('unnormalized_zero_one_loss', functools.partial(<function zero_one_loss at 0xb41eef18>, normalize=False), array([4, 0, 3, 3, 3, 1, 3, 2, 4, 0, 0, 4, 2, 1, 0, 1, 1, 0, 1, 4, 3, 0, 3, ... ok
sklearn.metrics.tests.test_common.test_sample_weight_invariance('zero_one_loss', <function zero_one_loss at 0xb41eef18>, array([4, 0, 3, 3, 3, 1, 3, 2, 4, 0, 0, 4, 2, 1, 0, 1, 1, 0, 1, 4, 3, 0, 3, ... ok
sklearn.metrics.tests.test_common.test_sample_weight_invariance('recall_score', <function recall_score at 0xb41f7108>, array([4, 0, 3, 3, 3, 1, 3, 2, 4, 0, 0, 4, 2, 1, 0, 1, 1, 0, 1, 4, 3, 0, 3, ... ok
sklearn.metrics.tests.test_common.test_sample_weight_invariance('weighted_precision_score', functools.partial(<function precision_score at 0xb41f70c0>, average='weighted'), array([4, 0, 3, 3, 3, 1, 3, 2, 4, 0, 0, 4, 2, 1, 0, 1, 1, 0, 1, 4, 3, 0, 3, ... ok
sklearn.metrics.tests.test_common.test_sample_weight_invariance('f0.5_score', functools.partial(<function fbeta_score at 0xb41eefa8>, beta=0.5), array([4, 0, 3, 3, 3, 1, 3, 2, 4, 0, 0, 4, 2, 1, 0, 1, 1, 0, 1, 4, 3, 0, 3, ... ok
sklearn.metrics.tests.test_common.test_sample_weight_invariance('f1_score', <function f1_score at 0xb41eef60>, array([4, 0, 3, 3, 3, 1, 3, 2, 4, 0, 0, 4, 2, 1, 0, 1, 1, 0, 1, 4, 3, 0, 3, ... ok
sklearn.metrics.tests.test_common.test_sample_weight_invariance('unnormalized_log_loss', functools.partial(<function log_loss at 0xb41f71e0>, normalize=False), array([4, 0, 3, 3, 3, 1, 3, 2, 4, 0, 0, 4, 2, 1, 0, 1, 1, 0, 1, 4, 3, 0, 3, ... ok
sklearn.metrics.tests.test_common.test_sample_weight_invariance('macro_f2_score', functools.partial(<function fbeta_score at 0xb41eefa8>, beta=2, average='macro'), array([4, 0, 3, 3, 3, 1, 3, 2, 4, 0, 0, 4, 2, 1, 0, 1, 1, 0, 1, 4, 3, 0, 3, ... ok
sklearn.metrics.tests.test_common.test_sample_weight_invariance('f2_score', functools.partial(<function fbeta_score at 0xb41eefa8>, beta=2), array([4, 0, 3, 3, 3, 1, 3, 2, 4, 0, 0, 4, 2, 1, 0, 1, 1, 0, 1, 4, 3, 0, 3, ... ok
sklearn.metrics.tests.test_common.test_sample_weight_invariance('micro_precision_score', functools.partial(<function precision_score at 0xb41f70c0>, average='micro'), array([4, 0, 3, 3, 3, 1, 3, 2, 4, 0, 0, 4, 2, 1, 0, 1, 1, 0, 1, 4, 3, 0, 3, ... ok
sklearn.metrics.tests.test_common.test_sample_weight_invariance('jaccard_similarity_score', <function jaccard_similarity_score at 0xb41eee88>, array([4, 0, 3, 3, 3, 1, 3, 2, 4, 0, 0, 4, 2, 1, 0, 1, 1, 0, 1, 4, 3, 0, 3, ... ok
sklearn.metrics.tests.test_common.test_sample_weight_invariance('hinge_loss', <function hinge_loss at 0xb41f7228>, array([4, 0, 3, 3, 3, 1, 3, 2, 4, 0, 0, 4, 2, 1, 0, 1, 1, 0, 1, 4, 3, 0, 3, ... ok
sklearn.metrics.tests.test_common.test_sample_weight_invariance('micro_f1_score', functools.partial(<function f1_score at 0xb41eef60>, average='micro'), array([4, 0, 3, 3, 3, 1, 3, 2, 4, 0, 0, 4, 2, 1, 0, 1, 1, 0, 1, 4, 3, 0, 3, ... ok
sklearn.metrics.tests.test_common.test_sample_weight_invariance('mean_absolute_error', <function mean_absolute_error at 0xb42078e8>, array([4, 0, 3, 3, 3, 1, 3, 2, 4, 0, 0, 4, 2, 1, 0, 1, 1, 0, 1, 4, 3, 0, 3, ... ok
sklearn.metrics.tests.test_common.test_sample_weight_invariance('macro_recall_score', functools.partial(<function recall_score at 0xb41f7108>, average='macro'), array([4, 0, 3, 3, 3, 1, 3, 2, 4, 0, 0, 4, 2, 1, 0, 1, 1, 0, 1, 4, 3, 0, 3, ... ok
sklearn.metrics.tests.test_common.test_sample_weight_invariance('explained_variance_score', <function explained_variance_score at 0xb42079c0>, array([4, 0, 3, 3, 3, 1, 3, 2, 4, 0, 0, 4, 2, 1, 0, 1, 1, 0, 1, 4, 3, 0, 3, ... ok
sklearn.metrics.tests.test_common.test_sample_weight_invariance('micro_recall_score', functools.partial(<function recall_score at 0xb41f7108>, average='micro'), array([4, 0, 3, 3, 3, 1, 3, 2, 4, 0, 0, 4, 2, 1, 0, 1, 1, 0, 1, 4, 3, 0, 3, ... ok
sklearn.metrics.tests.test_common.test_sample_weight_invariance('weighted_f2_score', functools.partial(<function fbeta_score at 0xb41eefa8>, beta=2, average='weighted'), array([4, 0, 3, 3, 3, 1, 3, 2, 4, 0, 0, 4, 2, 1, 0, 1, 1, 0, 1, 4, 3, 0, 3, ... ok
sklearn.metrics.tests.test_common.test_sample_weight_invariance('precision_score', <function precision_score at 0xb41f70c0>, array([4, 0, 3, 3, 3, 1, 3, 2, 4, 0, 0, 4, 2, 1, 0, 1, 1, 0, 1, 4, 3, 0, 3, ... ok
sklearn.metrics.tests.test_common.test_sample_weight_invariance('weighted_f1_score', functools.partial(<function f1_score at 0xb41eef60>, average='weighted'), array([4, 0, 3, 3, 3, 1, 3, 2, 4, 0, 0, 4, 2, 1, 0, 1, 1, 0, 1, 4, 3, 0, 3, ... ok
sklearn.metrics.tests.test_common.test_sample_weight_invariance('unnormalized_jaccard_similarity_score', functools.partial(<function jaccard_similarity_score at 0xb41eee88>, normalize=False), array([4, 0, 3, 3, 3, 1, 3, 2, 4, 0, 0, 4, 2, 1, 0, 1, 1, 0, 1, 4, 3, 0, 3, ... ok
sklearn.metrics.tests.test_common.test_sample_weight_invariance('macro_precision_score', functools.partial(<function precision_score at 0xb41f70c0>, average='macro'), array([4, 0, 3, 3, 3, 1, 3, 2, 4, 0, 0, 4, 2, 1, 0, 1, 1, 0, 1, 4, 3, 0, 3, ... ok
sklearn.metrics.tests.test_common.test_sample_weight_invariance('mean_squared_error', <function mean_squared_error at 0xb4207930>, array([4, 0, 3, 3, 3, 1, 3, 2, 4, 0, 0, 4, 2, 1, 0, 1, 1, 0, 1, 4, 3, 0, 3, ... ok
sklearn.metrics.tests.test_common.test_sample_weight_invariance('r2_score', functools.partial(<function r2_score at 0xb4207a08>, multioutput='variance_weighted'), array([4, 0, 3, 3, 3, 1, 3, 2, 4, 0, 0, 4, 2, 1, 0, 1, 1, 0, 1, 4, 3, 0, 3, ... ok
sklearn.metrics.tests.test_common.test_sample_weight_invariance('accuracy_score', <function accuracy_score at 0xb41eec48>, array([[0, 1, 0, ..., 0, 0, 0], ... ok
sklearn.metrics.tests.test_common.test_sample_weight_invariance('unnormalized_accuracy_score', functools.partial(<function accuracy_score at 0xb41eec48>, normalize=False), array([[0, 1, 0, ..., 0, 0, 0], ... ok
sklearn.metrics.tests.test_common.test_sample_weight_invariance('jaccard_similarity_score', <function jaccard_similarity_score at 0xb41eee88>, array([[0, 1, 0, ..., 0, 0, 0], ... ok
sklearn.metrics.tests.test_common.test_sample_weight_invariance('unnormalized_jaccard_similarity_score', functools.partial(<function jaccard_similarity_score at 0xb41eee88>, normalize=False), array([[0, 1, 0, ..., 0, 0, 0], ... ok
sklearn.metrics.tests.test_common.test_sample_weight_invariance('zero_one_loss', <function zero_one_loss at 0xb41eef18>, array([[0, 1, 0, ..., 0, 0, 0], ... ok
sklearn.metrics.tests.test_common.test_sample_weight_invariance('unnormalized_zero_one_loss', functools.partial(<function zero_one_loss at 0xb41eef18>, normalize=False), array([[0, 1, 0, ..., 0, 0, 0], ... ok
sklearn.metrics.tests.test_common.test_sample_weight_invariance('precision_score', <function precision_score at 0xb41f70c0>, array([[0, 1, 0, ..., 0, 0, 0], ... ok
sklearn.metrics.tests.test_common.test_sample_weight_invariance('recall_score', <function recall_score at 0xb41f7108>, array([[0, 1, 0, ..., 0, 0, 0], ... ok
sklearn.metrics.tests.test_common.test_sample_weight_invariance('f1_score', <function f1_score at 0xb41eef60>, array([[0, 1, 0, ..., 0, 0, 0], ... ok
sklearn.metrics.tests.test_common.test_sample_weight_invariance('f2_score', functools.partial(<function fbeta_score at 0xb41eefa8>, beta=2), array([[0, 1, 0, ..., 0, 0, 0], ... ok
sklearn.metrics.tests.test_common.test_sample_weight_invariance('f0.5_score', functools.partial(<function fbeta_score at 0xb41eefa8>, beta=0.5), array([[0, 1, 0, ..., 0, 0, 0], ... ok
sklearn.metrics.tests.test_common.test_sample_weight_invariance('weighted_f0.5_score', functools.partial(<function fbeta_score at 0xb41eefa8>, beta=0.5, average='weighted'), array([[0, 1, 0, ..., 0, 0, 0], ... ok
sklearn.metrics.tests.test_common.test_sample_weight_invariance('weighted_f1_score', functools.partial(<function f1_score at 0xb41eef60>, average='weighted'), array([[0, 1, 0, ..., 0, 0, 0], ... ok
sklearn.metrics.tests.test_common.test_sample_weight_invariance('weighted_f2_score', functools.partial(<function fbeta_score at 0xb41eefa8>, beta=2, average='weighted'), array([[0, 1, 0, ..., 0, 0, 0], ... ok
sklearn.metrics.tests.test_common.test_sample_weight_invariance('weighted_precision_score', functools.partial(<function precision_score at 0xb41f70c0>, average='weighted'), array([[0, 1, 0, ..., 0, 0, 0], ... ok
sklearn.metrics.tests.test_common.test_sample_weight_invariance('weighted_recall_score', functools.partial(<function recall_score at 0xb41f7108>, average='weighted'), array([[0, 1, 0, ..., 0, 0, 0], ... ok
sklearn.metrics.tests.test_common.test_sample_weight_invariance('micro_f0.5_score', functools.partial(<function fbeta_score at 0xb41eefa8>, beta=0.5, average='micro'), array([[0, 1, 0, ..., 0, 0, 0], ... ok
sklearn.metrics.tests.test_common.test_sample_weight_invariance('micro_f1_score', functools.partial(<function f1_score at 0xb41eef60>, average='micro'), array([[0, 1, 0, ..., 0, 0, 0], ... ok
sklearn.metrics.tests.test_common.test_sample_weight_invariance('micro_f2_score', functools.partial(<function fbeta_score at 0xb41eefa8>, beta=2, average='micro'), array([[0, 1, 0, ..., 0, 0, 0], ... ok
sklearn.metrics.tests.test_common.test_sample_weight_invariance('micro_precision_score', functools.partial(<function precision_score at 0xb41f70c0>, average='micro'), array([[0, 1, 0, ..., 0, 0, 0], ... ok
sklearn.metrics.tests.test_common.test_sample_weight_invariance('micro_recall_score', functools.partial(<function recall_score at 0xb41f7108>, average='micro'), array([[0, 1, 0, ..., 0, 0, 0], ... ok
sklearn.metrics.tests.test_common.test_sample_weight_invariance('macro_f0.5_score', functools.partial(<function fbeta_score at 0xb41eefa8>, beta=0.5, average='macro'), array([[0, 1, 0, ..., 0, 0, 0], ... ok
sklearn.metrics.tests.test_common.test_sample_weight_invariance('macro_f1_score', functools.partial(<function f1_score at 0xb41eef60>, average='macro'), array([[0, 1, 0, ..., 0, 0, 0], ... ok
sklearn.metrics.tests.test_common.test_sample_weight_invariance('macro_f2_score', functools.partial(<function fbeta_score at 0xb41eefa8>, beta=2, average='macro'), array([[0, 1, 0, ..., 0, 0, 0], ... ok
sklearn.metrics.tests.test_common.test_sample_weight_invariance('macro_precision_score', functools.partial(<function precision_score at 0xb41f70c0>, average='macro'), array([[0, 1, 0, ..., 0, 0, 0], ... ok
sklearn.metrics.tests.test_common.test_sample_weight_invariance('macro_recall_score', functools.partial(<function recall_score at 0xb41f7108>, average='macro'), array([[0, 1, 0, ..., 0, 0, 0], ... ok
sklearn.metrics.tests.test_common.test_sample_weight_invariance('samples_f0.5_score', functools.partial(<function fbeta_score at 0xb41eefa8>, beta=0.5, average='samples'), array([[0, 1, 0, ..., 0, 0, 0], ... ok
sklearn.metrics.tests.test_common.test_sample_weight_invariance('samples_f1_score', functools.partial(<function f1_score at 0xb41eef60>, average='samples'), array([[0, 1, 0, ..., 0, 0, 0], ... ok
sklearn.metrics.tests.test_common.test_sample_weight_invariance('samples_f2_score', functools.partial(<function fbeta_score at 0xb41eefa8>, beta=2, average='samples'), array([[0, 1, 0, ..., 0, 0, 0], ... ok
sklearn.metrics.tests.test_common.test_sample_weight_invariance('samples_precision_score', functools.partial(<function precision_score at 0xb41f70c0>, average='samples'), array([[0, 1, 0, ..., 0, 0, 0], ... ok
sklearn.metrics.tests.test_common.test_sample_weight_invariance('samples_recall_score', functools.partial(<function recall_score at 0xb41f7108>, average='samples'), array([[0, 1, 0, ..., 0, 0, 0], ... ok
sklearn.metrics.tests.test_common.test_sample_weight_invariance('log_loss', <function log_loss at 0xb41f71e0>, array([[0, 1, 0, ..., 0, 0, 0], ... ok
sklearn.metrics.tests.test_common.test_sample_weight_invariance('unnormalized_log_loss', functools.partial(<function log_loss at 0xb41f71e0>, normalize=False), array([[0, 1, 0, ..., 0, 0, 0], ... ok
sklearn.metrics.tests.test_common.test_sample_weight_invariance('roc_auc_score', <function roc_auc_score at 0xb448e4b0>, array([[0, 1, 0, ..., 0, 0, 0], ... ok
sklearn.metrics.tests.test_common.test_sample_weight_invariance('weighted_roc_auc', functools.partial(<function roc_auc_score at 0xb448e4b0>, average='weighted'), array([[0, 1, 0, ..., 0, 0, 0], ... ok
sklearn.metrics.tests.test_common.test_sample_weight_invariance('samples_roc_auc', functools.partial(<function roc_auc_score at 0xb448e4b0>, average='samples'), array([[0, 1, 0, ..., 0, 0, 0], ... ok
sklearn.metrics.tests.test_common.test_sample_weight_invariance('micro_roc_auc', functools.partial(<function roc_auc_score at 0xb448e4b0>, average='micro'), array([[0, 1, 0, ..., 0, 0, 0], ... ok
sklearn.metrics.tests.test_common.test_sample_weight_invariance('macro_roc_auc', functools.partial(<function roc_auc_score at 0xb448e4b0>, average='macro'), array([[0, 1, 0, ..., 0, 0, 0], ... ok
sklearn.metrics.tests.test_common.test_sample_weight_invariance('average_precision_score', <function average_precision_score at 0xb448e468>, array([[0, 1, 0, ..., 0, 0, 0], ... ok
sklearn.metrics.tests.test_common.test_sample_weight_invariance('weighted_average_precision_score', functools.partial(<function average_precision_score at 0xb448e468>, average='weighted'), array([[0, 1, 0, ..., 0, 0, 0], ... ok
sklearn.metrics.tests.test_common.test_sample_weight_invariance('samples_average_precision_score', functools.partial(<function average_precision_score at 0xb448e468>, average='samples'), array([[0, 1, 0, ..., 0, 0, 0], ... ok
sklearn.metrics.tests.test_common.test_sample_weight_invariance('micro_average_precision_score', functools.partial(<function average_precision_score at 0xb448e468>, average='micro'), array([[0, 1, 0, ..., 0, 0, 0], ... ok
sklearn.metrics.tests.test_common.test_sample_weight_invariance('macro_average_precision_score', functools.partial(<function average_precision_score at 0xb448e468>, average='macro'), array([[0, 1, 0, ..., 0, 0, 0], ... ok
sklearn.metrics.tests.test_common.test_sample_weight_invariance('coverage_error', <function coverage_error at 0xb448e618>, array([[0, 1, 0, ..., 0, 0, 0], ... ok
sklearn.metrics.tests.test_common.test_sample_weight_invariance('label_ranking_loss', <function label_ranking_loss at 0xb448e660>, array([[0, 1, 0, ..., 0, 0, 0], ... ok
sklearn.metrics.tests.test_common.test_sample_weight_invariance('mean_absolute_error', <function mean_absolute_error at 0xb42078e8>, array([[0, 1, 0, ..., 0, 0, 0], ... ok
sklearn.metrics.tests.test_common.test_sample_weight_invariance('mean_squared_error', <function mean_squared_error at 0xb4207930>, array([[0, 1, 0, ..., 0, 0, 0], ... ok
sklearn.metrics.tests.test_common.test_sample_weight_invariance('r2_score', functools.partial(<function r2_score at 0xb4207a08>, multioutput='variance_weighted'), array([[0, 1, 0, ..., 0, 0, 0], ... ok
sklearn.metrics.tests.test_common.test_sample_weight_invariance('explained_variance_score', <function explained_variance_score at 0xb42079c0>, array([[0, 1, 0, ..., 0, 0, 0], ... ok
sklearn.metrics.tests.test_common.test_no_averaging_labels ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/metrics/classification.py:1074: UndefinedMetricWarning: Precision is ill-defined and being set to 0.0 in labels with no predicted samples.
'precision', 'predicted', average, warn_for)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/metrics/classification.py:1074: UndefinedMetricWarning: Precision is ill-defined and being set to 0.0 in labels with no predicted samples.
'precision', 'predicted', average, warn_for)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/metrics/classification.py:1076: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples.
'recall', 'true', average, warn_for)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/metrics/classification.py:1076: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples.
'recall', 'true', average, warn_for)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/metrics/classification.py:1074: UndefinedMetricWarning: F-score is ill-defined and being set to 0.0 in labels with no predicted samples.
'precision', 'predicted', average, warn_for)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/metrics/classification.py:1076: UndefinedMetricWarning: F-score is ill-defined and being set to 0.0 in labels with no true samples.
'recall', 'true', average, warn_for)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/metrics/classification.py:1074: UndefinedMetricWarning: F-score is ill-defined and being set to 0.0 in labels with no predicted samples.
'precision', 'predicted', average, warn_for)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/metrics/classification.py:1076: UndefinedMetricWarning: F-score is ill-defined and being set to 0.0 in labels with no true samples.
'recall', 'true', average, warn_for)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/metrics/classification.py:1074: UndefinedMetricWarning: F-score is ill-defined and being set to 0.0 in labels with no predicted samples.
'precision', 'predicted', average, warn_for)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/metrics/classification.py:1076: UndefinedMetricWarning: F-score is ill-defined and being set to 0.0 in labels with no true samples.
'recall', 'true', average, warn_for)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/metrics/classification.py:1074: UndefinedMetricWarning: F-score is ill-defined and being set to 0.0 in labels with no predicted samples.
'precision', 'predicted', average, warn_for)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/metrics/classification.py:1076: UndefinedMetricWarning: F-score is ill-defined and being set to 0.0 in labels with no true samples.
'recall', 'true', average, warn_for)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/metrics/classification.py:1074: UndefinedMetricWarning: F-score is ill-defined and being set to 0.0 in labels with no predicted samples.
'precision', 'predicted', average, warn_for)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/metrics/classification.py:1076: UndefinedMetricWarning: F-score is ill-defined and being set to 0.0 in labels with no true samples.
'recall', 'true', average, warn_for)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/metrics/classification.py:1074: UndefinedMetricWarning: F-score is ill-defined and being set to 0.0 in labels with no predicted samples.
'precision', 'predicted', average, warn_for)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/metrics/classification.py:1076: UndefinedMetricWarning: F-score is ill-defined and being set to 0.0 in labels with no true samples.
'recall', 'true', average, warn_for)
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 0xb4207198>, 'euclidean', {}) ... ok
sklearn.metrics.tests.test_pairwise.test_pairwise_parallel(<function pairwise_distances at 0xb4207198>, <function wminkowski at 0xb41e00c0>, {'p': 1, 'w': array([ 1., 2., 3., 4.])}) ... ok
sklearn.metrics.tests.test_pairwise.test_pairwise_parallel(<function pairwise_distances at 0xb4207198>, 'wminkowski', {'p': 1, 'w': array([ 1., 2., 3., 4.])}) ... ok
sklearn.metrics.tests.test_pairwise.test_pairwise_parallel(<function pairwise_kernels at 0xb4207228>, 'polynomial', {'degree': 1}) ... ok
sklearn.metrics.tests.test_pairwise.test_pairwise_parallel(<function pairwise_kernels at 0xb4207228>, <function callable_rbf_kernel at 0xb3300b28>, {'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_distances_argmin_min ... ok
sklearn.metrics.tests.test_pairwise.test_euclidean_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_nonrepeating_thresholds ... 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 ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/metrics/ranking.py:538: UndefinedMetricWarning: No positive samples in y_true, true positive value should be meaningless
UndefinedMetricWarning)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/metrics/ranking.py:530: UndefinedMetricWarning: No negative samples in y_true, false positive value should be meaningless
UndefinedMetricWarning)
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_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_score_scale_invariance ... ok
sklearn.metrics.tests.test_ranking.test_label_ranking_avp(<function label_ranking_average_precision_score at 0xb448e5d0>,) ... ok
sklearn.metrics.tests.test_ranking.test_label_ranking_avp(<function label_ranking_average_precision_score at 0xb448e5d0>,) ... ok
sklearn.metrics.tests.test_ranking.test_label_ranking_avp(<function label_ranking_average_precision_score at 0xb448e5d0>,) ... ok
sklearn.metrics.tests.test_ranking.test_label_ranking_avp(<function label_ranking_average_precision_score at 0xb448e5d0>,) ... ok
sklearn.metrics.tests.test_ranking.test_label_ranking_avp(<function label_ranking_average_precision_score at 0xb448e5d0>,) ... ok
sklearn.metrics.tests.test_ranking.test_label_ranking_avp(<function _my_lrap at 0xb330bb70>,) ... ok
sklearn.metrics.tests.test_ranking.test_label_ranking_avp(<function _my_lrap at 0xb330bb70>,) ... ok
sklearn.metrics.tests.test_ranking.test_label_ranking_avp(<function _my_lrap at 0xb330bb70>,) ... ok
sklearn.metrics.tests.test_ranking.test_label_ranking_avp(<function _my_lrap at 0xb330bb70>,) ... ok
sklearn.metrics.tests.test_ranking.test_label_ranking_avp(<function label_ranking_average_precision_score at 0xb448e5d0>,) ... ok
sklearn.metrics.tests.test_ranking.test_label_ranking_avp(<function label_ranking_average_precision_score at 0xb448e5d0>, 2, 1, 0) ... ok
sklearn.metrics.tests.test_ranking.test_label_ranking_avp(<function label_ranking_average_precision_score at 0xb448e5d0>, 5, 1, 0) ... ok
sklearn.metrics.tests.test_ranking.test_label_ranking_avp(<function label_ranking_average_precision_score at 0xb448e5d0>, 10, 1, 0) ... ok
sklearn.metrics.tests.test_ranking.test_label_ranking_avp(<function label_ranking_average_precision_score at 0xb448e5d0>, 2, 2, 0) ... ok
sklearn.metrics.tests.test_ranking.test_label_ranking_avp(<function label_ranking_average_precision_score at 0xb448e5d0>, 5, 2, 0) ... ok
sklearn.metrics.tests.test_ranking.test_label_ranking_avp(<function label_ranking_average_precision_score at 0xb448e5d0>, 10, 2, 0) ... ok
sklearn.metrics.tests.test_ranking.test_label_ranking_avp(<function label_ranking_average_precision_score at 0xb448e5d0>, 2, 8, 0) ... ok
sklearn.metrics.tests.test_ranking.test_label_ranking_avp(<function label_ranking_average_precision_score at 0xb448e5d0>, 5, 8, 0) ... ok
sklearn.metrics.tests.test_ranking.test_label_ranking_avp(<function label_ranking_average_precision_score at 0xb448e5d0>, 10, 8, 0) ... ok
sklearn.metrics.tests.test_ranking.test_label_ranking_avp(<function label_ranking_average_precision_score at 0xb448e5d0>, 2, 20, 0) ... ok
sklearn.metrics.tests.test_ranking.test_label_ranking_avp(<function label_ranking_average_precision_score at 0xb448e5d0>, 5, 20, 0) ... ok
sklearn.metrics.tests.test_ranking.test_label_ranking_avp(<function label_ranking_average_precision_score at 0xb448e5d0>, 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_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() instead
inspect.getargspec(func)
sklearn.metrics.tests.test_score_objects.test_check_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_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_raises_on_score_list ... ok
sklearn.metrics.tests.test_score_objects.test_scorer_sample_weight ... ok
sklearn.metrics.tests.test_score_objects.test_unsupervised_scorers ... ok
sklearn.metrics.tests.test_score_objects.test_scorer_memmap_input('average_precision',) ... 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('f1_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('median_absolute_error',) ... ok
sklearn.metrics.tests.test_score_objects.test_scorer_memmap_input('f1',) ... ok
sklearn.metrics.tests.test_score_objects.test_scorer_memmap_input('f1_weighted',) ... ok
sklearn.metrics.tests.test_score_objects.test_scorer_memmap_input('recall_samples',) ... ok
sklearn.metrics.tests.test_score_objects.test_scorer_memmap_input('f1_micro',) ... ok
sklearn.metrics.tests.test_score_objects.test_scorer_memmap_input('recall_micro',) ... 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('adjusted_rand_score',) ... 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',) ... ok
sklearn.metrics.tests.test_score_objects.test_scorer_memmap_input('f1_macro',) ... ok
sklearn.metrics.tests.test_score_objects.test_scorer_memmap_input('r2',) ... ok
sklearn.metrics.tests.test_score_objects.test_scorer_memmap_input('precision_samples',) ... ok
sklearn.metrics.tests.test_score_objects.test_scorer_memmap_input('roc_auc',) ... ok
sklearn.metrics.tests.test_score_objects.test_scorer_memmap_input('accuracy',) ... ok
sklearn.metrics.tests.test_score_objects.test_scorer_memmap_input('recall',) ... ok
sklearn.metrics.tests.test_score_objects.test_scorer_memmap_input('precision_weighted',) ... 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('recall_macro',) ... ok
/usr/lib/python3/dist-packages/nose/util.py:453: DeprecationWarning: inspect.getargspec() is deprecated, use inspect.signature() instead
inspect.getargspec(func)
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) ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/extmath.py:343: RuntimeWarning: underflow encountered in exp
out = np.log(np.sum(np.exp(arr - vmax), axis=0))
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/mixture/dpgmm.py:40: 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) ... 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) ... 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) ... 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) ... 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) ... 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) ... 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) ... 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_class_weights ... 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_log_normalize ... ok
test_eval (sklearn.mixture.tests.test_gmm.TestGMMWithDiagonalCovars) ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/extmath.py:343: RuntimeWarning: underflow encountered in exp
out = np.log(np.sum(np.exp(arr - vmax), axis=0))
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/mixture/gmm.py:333: 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/extmath.py:343: RuntimeWarning: underflow encountered in exp
out = np.log(np.sum(np.exp(arr - vmax), axis=0))
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/mixture/gmm.py:333: 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) ... 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/extmath.py:343: RuntimeWarning: underflow encountered in exp
out = np.log(np.sum(np.exp(arr - vmax), axis=0))
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/mixture/gmm.py:333: 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) ... ok
test_sample (sklearn.mixture.tests.test_gmm.TestGMMWithSphericalCovars) ... ok
test_train (sklearn.mixture.tests.test_gmm.TestGMMWithSphericalCovars) ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/extmath.py:343: RuntimeWarning: underflow encountered in exp
out = np.log(np.sum(np.exp(arr - vmax), axis=0))
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/mixture/gmm.py:333: 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) ... ok
test_sample (sklearn.mixture.tests.test_gmm.TestGMMWithTiedCovars) ... ok
test_train (sklearn.mixture.tests.test_gmm.TestGMMWithTiedCovars) ... 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 ... ok
sklearn.mixture.tests.test_gmm.test_GMM_attributes ... 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_1d_1component ... ok
test that gmm.fit_predict is equivalent to gmm.fit + gmm.predict ... ok
sklearn.mixture.tests.test_gmm.test_aic ... 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.mixture.tests.test_gmm.test_verbose_first_level ... ok
sklearn.mixture.tests.test_gmm.test_verbose_second_level ... 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_l2_deprecation ... 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 ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/svm/base.py:224: ConvergenceWarning: Solver terminated early (max_iter=1). Consider pre-processing your data with StandardScaler or MinMaxScaler.
% self.max_iter, ConvergenceWarning)
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_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_probability ... ok
sklearn.svm.tests.test_svm.test_decision_function ... ok
sklearn.svm.tests.test_svm.test_consistent_proba ... ok
sklearn.svm.tests.test_svm.test_single_sample_1d ... 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:1074: 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_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_penalty ... 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_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 = -0.221693
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.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_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_probability ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tree/tree.py:715: 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_1d_input ... 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 ... 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('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', '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', '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_pickle ... ok
sklearn.tree.tests.test_tree.test_multioutput ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tree/tree.py:719: RuntimeWarning: divide by zero encountered in log
proba[k] = np.log(proba[k])
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tree/tree.py:719: RuntimeWarning: divide by zero encountered in log
proba[k] = np.log(proba[k])
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tree/tree.py:719: 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('ExtraTreeClassifier',) ... ok
sklearn.tree.tests.test_tree.test_class_weights('Presort-DecisionTreeClassifier',) ... ok
sklearn.tree.tests.test_tree.test_class_weight_errors('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_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_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:715: RuntimeWarning: divide by zero encountered in log
return np.log(proba)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tree/tree.py:715: RuntimeWarning: divide by zero encountered in log
return np.log(proba)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tree/tree.py:715: RuntimeWarning: divide by zero encountered in log
return np.log(proba)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tree/tree.py:715: RuntimeWarning: divide by zero encountered in log
return np.log(proba)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tree/tree.py:715: RuntimeWarning: divide by zero encountered in log
return np.log(proba)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tree/tree.py:715: RuntimeWarning: divide by zero encountered in log
return np.log(proba)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tree/tree.py:715: RuntimeWarning: divide by zero encountered in log
return np.log(proba)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tree/tree.py:715: RuntimeWarning: divide by zero encountered in log
return np.log(proba)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tree/tree.py:715: RuntimeWarning: divide by zero encountered in log
return np.log(proba)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tree/tree.py:715: RuntimeWarning: divide by zero encountered in log
return np.log(proba)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tree/tree.py:715: RuntimeWarning: divide by zero encountered in log
return np.log(proba)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tree/tree.py:715: RuntimeWarning: divide by zero encountered in log
return np.log(proba)
ok
sklearn.tree.tests.test_tree.test_sparse_input('DecisionTreeClassifier', 'toy', None) ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tree/tree.py:715: RuntimeWarning: divide by zero encountered in log
return np.log(proba)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tree/tree.py:715: RuntimeWarning: divide by zero encountered in log
return np.log(proba)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tree/tree.py:715: RuntimeWarning: divide by zero encountered in log
return np.log(proba)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tree/tree.py:715: RuntimeWarning: divide by zero encountered in log
return np.log(proba)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tree/tree.py:715: RuntimeWarning: divide by zero encountered in log
return np.log(proba)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tree/tree.py:715: RuntimeWarning: divide by zero encountered in log
return np.log(proba)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tree/tree.py:715: RuntimeWarning: divide by zero encountered in log
return np.log(proba)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tree/tree.py:715: RuntimeWarning: divide by zero encountered in log
return np.log(proba)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tree/tree.py:715: RuntimeWarning: divide by zero encountered in log
return np.log(proba)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tree/tree.py:715: RuntimeWarning: divide by zero encountered in log
return np.log(proba)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tree/tree.py:715: RuntimeWarning: divide by zero encountered in log
return np.log(proba)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tree/tree.py:715: RuntimeWarning: divide by zero encountered in log
return np.log(proba)
ok
sklearn.tree.tests.test_tree.test_sparse_input('DecisionTreeClassifier', 'digits', 3) ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tree/tree.py:715: RuntimeWarning: divide by zero encountered in log
return np.log(proba)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tree/tree.py:715: RuntimeWarning: divide by zero encountered in log
return np.log(proba)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tree/tree.py:715: RuntimeWarning: divide by zero encountered in log
return np.log(proba)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tree/tree.py:715: RuntimeWarning: divide by zero encountered in log
return np.log(proba)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tree/tree.py:715: RuntimeWarning: divide by zero encountered in log
return np.log(proba)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tree/tree.py:715: RuntimeWarning: divide by zero encountered in log
return np.log(proba)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tree/tree.py:715: RuntimeWarning: divide by zero encountered in log
return np.log(proba)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tree/tree.py:715: RuntimeWarning: divide by zero encountered in log
return np.log(proba)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tree/tree.py:715: RuntimeWarning: divide by zero encountered in log
return np.log(proba)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tree/tree.py:715: RuntimeWarning: divide by zero encountered in log
return np.log(proba)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tree/tree.py:715: RuntimeWarning: divide by zero encountered in log
return np.log(proba)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tree/tree.py:715: RuntimeWarning: divide by zero encountered in log
return np.log(proba)
ok
sklearn.tree.tests.test_tree.test_sparse_input('DecisionTreeClassifier', 'multilabel', None) ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tree/tree.py:719: RuntimeWarning: divide by zero encountered in log
proba[k] = np.log(proba[k])
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tree/tree.py:719: RuntimeWarning: divide by zero encountered in log
proba[k] = np.log(proba[k])
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tree/tree.py:719: RuntimeWarning: divide by zero encountered in log
proba[k] = np.log(proba[k])
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tree/tree.py:719: RuntimeWarning: divide by zero encountered in log
proba[k] = np.log(proba[k])
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tree/tree.py:719: RuntimeWarning: divide by zero encountered in log
proba[k] = np.log(proba[k])
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tree/tree.py:719: RuntimeWarning: divide by zero encountered in log
proba[k] = np.log(proba[k])
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tree/tree.py:719: RuntimeWarning: divide by zero encountered in log
proba[k] = np.log(proba[k])
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tree/tree.py:719: RuntimeWarning: divide by zero encountered in log
proba[k] = np.log(proba[k])
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tree/tree.py:719: RuntimeWarning: divide by zero encountered in log
proba[k] = np.log(proba[k])
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tree/tree.py:719: RuntimeWarning: divide by zero encountered in log
proba[k] = np.log(proba[k])
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tree/tree.py:719: RuntimeWarning: divide by zero encountered in log
proba[k] = np.log(proba[k])
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tree/tree.py:719: RuntimeWarning: divide by zero encountered in log
proba[k] = np.log(proba[k])
ok
sklearn.tree.tests.test_tree.test_sparse_input('DecisionTreeClassifier', 'sparse-pos', None) ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tree/tree.py:715: RuntimeWarning: divide by zero encountered in log
return np.log(proba)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tree/tree.py:715: RuntimeWarning: divide by zero encountered in log
return np.log(proba)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tree/tree.py:715: RuntimeWarning: divide by zero encountered in log
return np.log(proba)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tree/tree.py:715: RuntimeWarning: divide by zero encountered in log
return np.log(proba)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tree/tree.py:715: RuntimeWarning: divide by zero encountered in log
return np.log(proba)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tree/tree.py:715: RuntimeWarning: divide by zero encountered in log
return np.log(proba)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tree/tree.py:715: RuntimeWarning: divide by zero encountered in log
return np.log(proba)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tree/tree.py:715: RuntimeWarning: divide by zero encountered in log
return np.log(proba)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tree/tree.py:715: RuntimeWarning: divide by zero encountered in log
return np.log(proba)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tree/tree.py:715: RuntimeWarning: divide by zero encountered in log
return np.log(proba)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tree/tree.py:715: RuntimeWarning: divide by zero encountered in log
return np.log(proba)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tree/tree.py:715: RuntimeWarning: divide by zero encountered in log
return np.log(proba)
ok
sklearn.tree.tests.test_tree.test_sparse_input('DecisionTreeClassifier', 'sparse-neg', None) ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tree/tree.py:715: RuntimeWarning: divide by zero encountered in log
return np.log(proba)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tree/tree.py:715: RuntimeWarning: divide by zero encountered in log
return np.log(proba)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tree/tree.py:715: RuntimeWarning: divide by zero encountered in log
return np.log(proba)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tree/tree.py:715: RuntimeWarning: divide by zero encountered in log
return np.log(proba)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tree/tree.py:715: RuntimeWarning: divide by zero encountered in log
return np.log(proba)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tree/tree.py:715: RuntimeWarning: divide by zero encountered in log
return np.log(proba)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tree/tree.py:715: RuntimeWarning: divide by zero encountered in log
return np.log(proba)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tree/tree.py:715: RuntimeWarning: divide by zero encountered in log
return np.log(proba)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tree/tree.py:715: RuntimeWarning: divide by zero encountered in log
return np.log(proba)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tree/tree.py:715: RuntimeWarning: divide by zero encountered in log
return np.log(proba)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tree/tree.py:715: RuntimeWarning: divide by zero encountered in log
return np.log(proba)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tree/tree.py:715: RuntimeWarning: divide by zero encountered in log
return np.log(proba)
ok
sklearn.tree.tests.test_tree.test_sparse_input('DecisionTreeClassifier', 'sparse-mix', None) ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tree/tree.py:715: RuntimeWarning: divide by zero encountered in log
return np.log(proba)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tree/tree.py:715: RuntimeWarning: divide by zero encountered in log
return np.log(proba)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tree/tree.py:715: RuntimeWarning: divide by zero encountered in log
return np.log(proba)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tree/tree.py:715: RuntimeWarning: divide by zero encountered in log
return np.log(proba)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tree/tree.py:715: RuntimeWarning: divide by zero encountered in log
return np.log(proba)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tree/tree.py:715: RuntimeWarning: divide by zero encountered in log
return np.log(proba)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tree/tree.py:715: RuntimeWarning: divide by zero encountered in log
return np.log(proba)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tree/tree.py:715: RuntimeWarning: divide by zero encountered in log
return np.log(proba)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tree/tree.py:715: RuntimeWarning: divide by zero encountered in log
return np.log(proba)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tree/tree.py:715: RuntimeWarning: divide by zero encountered in log
return np.log(proba)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tree/tree.py:715: RuntimeWarning: divide by zero encountered in log
return np.log(proba)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tree/tree.py:715: RuntimeWarning: divide by zero encountered in log
return np.log(proba)
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) ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tree/tree.py:715: RuntimeWarning: divide by zero encountered in log
return np.log(proba)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tree/tree.py:715: RuntimeWarning: divide by zero encountered in log
return np.log(proba)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tree/tree.py:715: RuntimeWarning: divide by zero encountered in log
return np.log(proba)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tree/tree.py:715: RuntimeWarning: divide by zero encountered in log
return np.log(proba)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tree/tree.py:715: RuntimeWarning: divide by zero encountered in log
return np.log(proba)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tree/tree.py:715: RuntimeWarning: divide by zero encountered in log
return np.log(proba)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tree/tree.py:715: RuntimeWarning: divide by zero encountered in log
return np.log(proba)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tree/tree.py:715: RuntimeWarning: divide by zero encountered in log
return np.log(proba)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tree/tree.py:715: RuntimeWarning: divide by zero encountered in log
return np.log(proba)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tree/tree.py:715: RuntimeWarning: divide by zero encountered in log
return np.log(proba)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tree/tree.py:715: RuntimeWarning: divide by zero encountered in log
return np.log(proba)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tree/tree.py:715: RuntimeWarning: divide by zero encountered in log
return np.log(proba)
ok
sklearn.tree.tests.test_tree.test_sparse_input('ExtraTreeClassifier', 'toy', None) ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tree/tree.py:715: RuntimeWarning: divide by zero encountered in log
return np.log(proba)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tree/tree.py:715: RuntimeWarning: divide by zero encountered in log
return np.log(proba)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tree/tree.py:715: RuntimeWarning: divide by zero encountered in log
return np.log(proba)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tree/tree.py:715: RuntimeWarning: divide by zero encountered in log
return np.log(proba)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tree/tree.py:715: RuntimeWarning: divide by zero encountered in log
return np.log(proba)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tree/tree.py:715: RuntimeWarning: divide by zero encountered in log
return np.log(proba)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tree/tree.py:715: RuntimeWarning: divide by zero encountered in log
return np.log(proba)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tree/tree.py:715: RuntimeWarning: divide by zero encountered in log
return np.log(proba)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tree/tree.py:715: RuntimeWarning: divide by zero encountered in log
return np.log(proba)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tree/tree.py:715: RuntimeWarning: divide by zero encountered in log
return np.log(proba)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tree/tree.py:715: RuntimeWarning: divide by zero encountered in log
return np.log(proba)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tree/tree.py:715: RuntimeWarning: divide by zero encountered in log
return np.log(proba)
ok
sklearn.tree.tests.test_tree.test_sparse_input('ExtraTreeClassifier', 'digits', 3) ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tree/tree.py:715: RuntimeWarning: divide by zero encountered in log
return np.log(proba)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tree/tree.py:715: RuntimeWarning: divide by zero encountered in log
return np.log(proba)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tree/tree.py:715: RuntimeWarning: divide by zero encountered in log
return np.log(proba)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tree/tree.py:715: RuntimeWarning: divide by zero encountered in log
return np.log(proba)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tree/tree.py:715: RuntimeWarning: divide by zero encountered in log
return np.log(proba)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tree/tree.py:715: RuntimeWarning: divide by zero encountered in log
return np.log(proba)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tree/tree.py:715: RuntimeWarning: divide by zero encountered in log
return np.log(proba)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tree/tree.py:715: RuntimeWarning: divide by zero encountered in log
return np.log(proba)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tree/tree.py:715: RuntimeWarning: divide by zero encountered in log
return np.log(proba)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tree/tree.py:715: RuntimeWarning: divide by zero encountered in log
return np.log(proba)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tree/tree.py:715: RuntimeWarning: divide by zero encountered in log
return np.log(proba)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tree/tree.py:715: RuntimeWarning: divide by zero encountered in log
return np.log(proba)
ok
sklearn.tree.tests.test_tree.test_sparse_input('ExtraTreeClassifier', 'multilabel', None) ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tree/tree.py:719: RuntimeWarning: divide by zero encountered in log
proba[k] = np.log(proba[k])
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tree/tree.py:719: RuntimeWarning: divide by zero encountered in log
proba[k] = np.log(proba[k])
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tree/tree.py:719: RuntimeWarning: divide by zero encountered in log
proba[k] = np.log(proba[k])
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tree/tree.py:719: RuntimeWarning: divide by zero encountered in log
proba[k] = np.log(proba[k])
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tree/tree.py:719: RuntimeWarning: divide by zero encountered in log
proba[k] = np.log(proba[k])
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tree/tree.py:719: RuntimeWarning: divide by zero encountered in log
proba[k] = np.log(proba[k])
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tree/tree.py:719: RuntimeWarning: divide by zero encountered in log
proba[k] = np.log(proba[k])
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tree/tree.py:719: RuntimeWarning: divide by zero encountered in log
proba[k] = np.log(proba[k])
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tree/tree.py:719: RuntimeWarning: divide by zero encountered in log
proba[k] = np.log(proba[k])
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tree/tree.py:719: RuntimeWarning: divide by zero encountered in log
proba[k] = np.log(proba[k])
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tree/tree.py:719: RuntimeWarning: divide by zero encountered in log
proba[k] = np.log(proba[k])
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tree/tree.py:719: RuntimeWarning: divide by zero encountered in log
proba[k] = np.log(proba[k])
ok
sklearn.tree.tests.test_tree.test_sparse_input('ExtraTreeClassifier', 'sparse-pos', None) ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tree/tree.py:715: RuntimeWarning: divide by zero encountered in log
return np.log(proba)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tree/tree.py:715: RuntimeWarning: divide by zero encountered in log
return np.log(proba)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tree/tree.py:715: RuntimeWarning: divide by zero encountered in log
return np.log(proba)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tree/tree.py:715: RuntimeWarning: divide by zero encountered in log
return np.log(proba)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tree/tree.py:715: RuntimeWarning: divide by zero encountered in log
return np.log(proba)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tree/tree.py:715: RuntimeWarning: divide by zero encountered in log
return np.log(proba)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tree/tree.py:715: RuntimeWarning: divide by zero encountered in log
return np.log(proba)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tree/tree.py:715: RuntimeWarning: divide by zero encountered in log
return np.log(proba)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tree/tree.py:715: RuntimeWarning: divide by zero encountered in log
return np.log(proba)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tree/tree.py:715: RuntimeWarning: divide by zero encountered in log
return np.log(proba)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tree/tree.py:715: RuntimeWarning: divide by zero encountered in log
return np.log(proba)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tree/tree.py:715: RuntimeWarning: divide by zero encountered in log
return np.log(proba)
ok
sklearn.tree.tests.test_tree.test_sparse_input('ExtraTreeClassifier', 'sparse-neg', None) ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tree/tree.py:715: RuntimeWarning: divide by zero encountered in log
return np.log(proba)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tree/tree.py:715: RuntimeWarning: divide by zero encountered in log
return np.log(proba)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tree/tree.py:715: RuntimeWarning: divide by zero encountered in log
return np.log(proba)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tree/tree.py:715: RuntimeWarning: divide by zero encountered in log
return np.log(proba)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tree/tree.py:715: RuntimeWarning: divide by zero encountered in log
return np.log(proba)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tree/tree.py:715: RuntimeWarning: divide by zero encountered in log
return np.log(proba)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tree/tree.py:715: RuntimeWarning: divide by zero encountered in log
return np.log(proba)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tree/tree.py:715: RuntimeWarning: divide by zero encountered in log
return np.log(proba)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tree/tree.py:715: RuntimeWarning: divide by zero encountered in log
return np.log(proba)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tree/tree.py:715: RuntimeWarning: divide by zero encountered in log
return np.log(proba)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tree/tree.py:715: RuntimeWarning: divide by zero encountered in log
return np.log(proba)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tree/tree.py:715: RuntimeWarning: divide by zero encountered in log
return np.log(proba)
ok
sklearn.tree.tests.test_tree.test_sparse_input('ExtraTreeClassifier', 'sparse-mix', None) ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tree/tree.py:715: RuntimeWarning: divide by zero encountered in log
return np.log(proba)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tree/tree.py:715: RuntimeWarning: divide by zero encountered in log
return np.log(proba)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tree/tree.py:715: RuntimeWarning: divide by zero encountered in log
return np.log(proba)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tree/tree.py:715: RuntimeWarning: divide by zero encountered in log
return np.log(proba)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tree/tree.py:715: RuntimeWarning: divide by zero encountered in log
return np.log(proba)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tree/tree.py:715: RuntimeWarning: divide by zero encountered in log
return np.log(proba)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tree/tree.py:715: RuntimeWarning: divide by zero encountered in log
return np.log(proba)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tree/tree.py:715: RuntimeWarning: divide by zero encountered in log
return np.log(proba)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tree/tree.py:715: RuntimeWarning: divide by zero encountered in log
return np.log(proba)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tree/tree.py:715: RuntimeWarning: divide by zero encountered in log
return np.log(proba)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tree/tree.py:715: RuntimeWarning: divide by zero encountered in log
return np.log(proba)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/tree/tree.py:715: RuntimeWarning: divide by zero encountered in log
return np.log(proba)
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('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('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('Presort-DecisionTreeClassifier',) ... ok
sklearn.tree.tests.test_tree.test_public_apply('Presort-DecisionTreeRegressor',) ... ok
sklearn.tree.tests.test_tree.test_public_apply('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('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('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.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_auto_negative ... ok
sklearn.utils.tests.test_class_weight.test_compute_class_weight_auto_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_estimator_checks.test_check_estimator ... ok
sklearn.utils.tests.test_estimator_checks.test_check_estimators_unfitted ... 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_logsumexp ... ok
sklearn.utils.tests.test_extmath.test_randomized_svd_low_rank ... ok
sklearn.utils.tests.test_extmath.test_norm_squared_norm ... 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_randomized_svd_transpose_consistency ... 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_fast_dot ... 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_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_expit ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/tests/test_fixes.py:23: RuntimeWarning: underflow encountered in exp
assert_almost_equal(expit(1000.), 1. / (1. + np.exp(-1000.)), decimal=16)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/tests/test_fixes.py:24: RuntimeWarning: underflow encountered in exp
assert_almost_equal(expit(-1000.), np.exp(-1000.) / (1. + np.exp(-1000.)),
ok
sklearn.utils.tests.test_fixes.test_divide ... ok
sklearn.utils.tests.test_fixes.test_astype_copy_memory ... 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_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 ... ok
sklearn.utils.tests.test_multiclass.test_class_distribution ... 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:280: 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_stats.test_cases([100], 'max', [1.0]) ... ok
sklearn.utils.tests.test_stats.test_cases([100, 100, 100], 'max', [3.0, 3.0, 3.0]) ... ok
sklearn.utils.tests.test_stats.test_cases([100, 300, 200], 'max', [1.0, 3.0, 2.0]) ... ok
sklearn.utils.tests.test_stats.test_cases([100, 200, 300, 200], 'max', [1.0, 3.0, 4.0, 3.0]) ... ok
sklearn.utils.tests.test_stats.test_cases([100, 200, 300, 200, 100], 'max', [2.0, 4.0, 5.0, 4.0, 2.0]) ... 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_raise_message ... ok
sklearn.utils.tests.test_utils.test_make_rng ... ok
sklearn.utils.tests.test_utils.test_resample_noarg ... ok
sklearn.utils.tests.test_utils.test_deprecated ... ok
sklearn.utils.tests.test_utils.test_resample_value_errors ... ok
sklearn.utils.tests.test_utils.test_safe_mask ... ok
sklearn.utils.tests.test_utils.test_pinvh_simple_real ... 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_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_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_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_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.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_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_score_sample_weight ... ok
sklearn.tests.test_calibration.test_sample_weight_warning ... 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
Test calibration objects with isotonic and sigmoid ... ok
sklearn.tests.test_check_build.test_raise_build_error ... ok
sklearn.tests.test_common.test_all_estimator_no_base_class ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/metrics/metrics.py:4: DeprecationWarning: sklearn.metrics.metrics is deprecated and will be removed in 0.18. Please import from sklearn.metrics
DeprecationWarning)
ok
sklearn.tests.test_common.test_all_estimators('ARDRegression', <class 'sklearn.linear_model.bayes.ARDRegression'>) ... ok
sklearn.tests.test_common.test_all_estimators('AdaBoostClassifier', <class 'sklearn.ensemble.weight_boosting.AdaBoostClassifier'>) ... ok
sklearn.tests.test_common.test_all_estimators('AdaBoostRegressor', <class 'sklearn.ensemble.weight_boosting.AdaBoostRegressor'>) ... ok
sklearn.tests.test_common.test_all_estimators('AdditiveChi2Sampler', <class 'sklearn.kernel_approximation.AdditiveChi2Sampler'>) ... ok
sklearn.tests.test_common.test_all_estimators('AffinityPropagation', <class 'sklearn.cluster.affinity_propagation_.AffinityPropagation'>) ... ok
sklearn.tests.test_common.test_all_estimators('AgglomerativeClustering', <class 'sklearn.cluster.hierarchical.AgglomerativeClustering'>) ... ok
sklearn.tests.test_common.test_all_estimators('BaggingClassifier', <class 'sklearn.ensemble.bagging.BaggingClassifier'>) ... ok
sklearn.tests.test_common.test_all_estimators('BaggingRegressor', <class 'sklearn.ensemble.bagging.BaggingRegressor'>) ... ok
sklearn.tests.test_common.test_all_estimators('BaseEnsemble', <class 'sklearn.ensemble.base.BaseEnsemble'>) ... ok
sklearn.tests.test_common.test_all_estimators('BayesianRidge', <class 'sklearn.linear_model.bayes.BayesianRidge'>) ... ok
sklearn.tests.test_common.test_all_estimators('BernoulliNB', <class 'sklearn.naive_bayes.BernoulliNB'>) ... ok
sklearn.tests.test_common.test_all_estimators('BernoulliRBM', <class 'sklearn.neural_network.rbm.BernoulliRBM'>) ... ok
sklearn.tests.test_common.test_all_estimators('Binarizer', <class 'sklearn.preprocessing.data.Binarizer'>) ... ok
sklearn.tests.test_common.test_all_estimators('Birch', <class 'sklearn.cluster.birch.Birch'>) ... ok
sklearn.tests.test_common.test_all_estimators('CCA', <class 'sklearn.cross_decomposition.cca_.CCA'>) ... ok
sklearn.tests.test_common.test_all_estimators('CalibratedClassifierCV', <class 'sklearn.calibration.CalibratedClassifierCV'>) ... ok
sklearn.tests.test_common.test_all_estimators('DBSCAN', <class 'sklearn.cluster.dbscan_.DBSCAN'>) ... ok
sklearn.tests.test_common.test_all_estimators('DPGMM', <class 'sklearn.mixture.dpgmm.DPGMM'>) ... ok
sklearn.tests.test_common.test_all_estimators('DecisionTreeClassifier', <class 'sklearn.tree.tree.DecisionTreeClassifier'>) ... ok
sklearn.tests.test_common.test_all_estimators('DecisionTreeRegressor', <class 'sklearn.tree.tree.DecisionTreeRegressor'>) ... ok
sklearn.tests.test_common.test_all_estimators('DictionaryLearning', <class 'sklearn.decomposition.dict_learning.DictionaryLearning'>) ... ok
sklearn.tests.test_common.test_all_estimators('ElasticNet', <class 'sklearn.linear_model.coordinate_descent.ElasticNet'>) ... ok
sklearn.tests.test_common.test_all_estimators('ElasticNetCV', <class 'sklearn.linear_model.coordinate_descent.ElasticNetCV'>) ... ok
sklearn.tests.test_common.test_all_estimators('EmpiricalCovariance', <class 'sklearn.covariance.empirical_covariance_.EmpiricalCovariance'>) ... ok
sklearn.tests.test_common.test_all_estimators('ExtraTreeClassifier', <class 'sklearn.tree.tree.ExtraTreeClassifier'>) ... ok
sklearn.tests.test_common.test_all_estimators('ExtraTreeRegressor', <class 'sklearn.tree.tree.ExtraTreeRegressor'>) ... ok
sklearn.tests.test_common.test_all_estimators('ExtraTreesClassifier', <class 'sklearn.ensemble.forest.ExtraTreesClassifier'>) ... ok
sklearn.tests.test_common.test_all_estimators('ExtraTreesRegressor', <class 'sklearn.ensemble.forest.ExtraTreesRegressor'>) ... ok
sklearn.tests.test_common.test_all_estimators('FactorAnalysis', <class 'sklearn.decomposition.factor_analysis.FactorAnalysis'>) ... ok
sklearn.tests.test_common.test_all_estimators('FastICA', <class 'sklearn.decomposition.fastica_.FastICA'>) ... ok
sklearn.tests.test_common.test_all_estimators('FeatureAgglomeration', <class 'sklearn.cluster.hierarchical.FeatureAgglomeration'>) ... ok
sklearn.tests.test_common.test_all_estimators('FunctionTransformer', <class 'sklearn.preprocessing._function_transformer.FunctionTransformer'>) ... ok
sklearn.tests.test_common.test_all_estimators('GMM', <class 'sklearn.mixture.gmm.GMM'>) ... ok
sklearn.tests.test_common.test_all_estimators('GaussianNB', <class 'sklearn.naive_bayes.GaussianNB'>) ... ok
sklearn.tests.test_common.test_all_estimators('GaussianProcess', <class 'sklearn.gaussian_process.gaussian_process.GaussianProcess'>) ... ok
sklearn.tests.test_common.test_all_estimators('GaussianRandomProjection', <class 'sklearn.random_projection.GaussianRandomProjection'>) ... ok
sklearn.tests.test_common.test_all_estimators('GenericUnivariateSelect', <class 'sklearn.feature_selection.univariate_selection.GenericUnivariateSelect'>) ... ok
sklearn.tests.test_common.test_all_estimators('GradientBoostingClassifier', <class 'sklearn.ensemble.gradient_boosting.GradientBoostingClassifier'>) ... ok
sklearn.tests.test_common.test_all_estimators('GradientBoostingRegressor', <class 'sklearn.ensemble.gradient_boosting.GradientBoostingRegressor'>) ... ok
sklearn.tests.test_common.test_all_estimators('GraphLasso', <class 'sklearn.covariance.graph_lasso_.GraphLasso'>) ... ok
sklearn.tests.test_common.test_all_estimators('GraphLassoCV', <class 'sklearn.covariance.graph_lasso_.GraphLassoCV'>) ... ok
sklearn.tests.test_common.test_all_estimators('Imputer', <class 'sklearn.preprocessing.imputation.Imputer'>) ... ok
sklearn.tests.test_common.test_all_estimators('IncrementalPCA', <class 'sklearn.decomposition.incremental_pca.IncrementalPCA'>) ... ok
sklearn.tests.test_common.test_all_estimators('Isomap', <class 'sklearn.manifold.isomap.Isomap'>) ... ok
sklearn.tests.test_common.test_all_estimators('KMeans', <class 'sklearn.cluster.k_means_.KMeans'>) ... ok
sklearn.tests.test_common.test_all_estimators('KNeighborsClassifier', <class 'sklearn.neighbors.classification.KNeighborsClassifier'>) ... ok
sklearn.tests.test_common.test_all_estimators('KNeighborsRegressor', <class 'sklearn.neighbors.regression.KNeighborsRegressor'>) ... ok
sklearn.tests.test_common.test_all_estimators('KernelCenterer', <class 'sklearn.preprocessing.data.KernelCenterer'>) ... ok
sklearn.tests.test_common.test_all_estimators('KernelDensity', <class 'sklearn.neighbors.kde.KernelDensity'>) ... ok
sklearn.tests.test_common.test_all_estimators('KernelPCA', <class 'sklearn.decomposition.kernel_pca.KernelPCA'>) ... ok
sklearn.tests.test_common.test_all_estimators('KernelRidge', <class 'sklearn.kernel_ridge.KernelRidge'>) ... ok
sklearn.tests.test_common.test_all_estimators('LDA', <class 'sklearn.discriminant_analysis.LinearDiscriminantAnalysis'>) ... ok
sklearn.tests.test_common.test_all_estimators('LSHForest', <class 'sklearn.neighbors.approximate.LSHForest'>) ... ok
sklearn.tests.test_common.test_all_estimators('LabelPropagation', <class 'sklearn.semi_supervised.label_propagation.LabelPropagation'>) ... ok
sklearn.tests.test_common.test_all_estimators('LabelSpreading', <class 'sklearn.semi_supervised.label_propagation.LabelSpreading'>) ... ok
sklearn.tests.test_common.test_all_estimators('Lars', <class 'sklearn.linear_model.least_angle.Lars'>) ... ok
sklearn.tests.test_common.test_all_estimators('LarsCV', <class 'sklearn.linear_model.least_angle.LarsCV'>) ... ok
sklearn.tests.test_common.test_all_estimators('Lasso', <class 'sklearn.linear_model.coordinate_descent.Lasso'>) ... ok
sklearn.tests.test_common.test_all_estimators('LassoCV', <class 'sklearn.linear_model.coordinate_descent.LassoCV'>) ... ok
sklearn.tests.test_common.test_all_estimators('LassoLars', <class 'sklearn.linear_model.least_angle.LassoLars'>) ... ok
sklearn.tests.test_common.test_all_estimators('LassoLarsCV', <class 'sklearn.linear_model.least_angle.LassoLarsCV'>) ... ok
sklearn.tests.test_common.test_all_estimators('LassoLarsIC', <class 'sklearn.linear_model.least_angle.LassoLarsIC'>) ... ok
sklearn.tests.test_common.test_all_estimators('LatentDirichletAllocation', <class 'sklearn.decomposition.online_lda.LatentDirichletAllocation'>) ... ok
sklearn.tests.test_common.test_all_estimators('LedoitWolf', <class 'sklearn.covariance.shrunk_covariance_.LedoitWolf'>) ... ok
sklearn.tests.test_common.test_all_estimators('LinearDiscriminantAnalysis', <class 'sklearn.discriminant_analysis.LinearDiscriminantAnalysis'>) ... ok
sklearn.tests.test_common.test_all_estimators('LinearRegression', <class 'sklearn.linear_model.base.LinearRegression'>) ... ok
sklearn.tests.test_common.test_all_estimators('LinearSVC', <class 'sklearn.svm.classes.LinearSVC'>) ... ok
sklearn.tests.test_common.test_all_estimators('LinearSVR', <class 'sklearn.svm.classes.LinearSVR'>) ... ok
sklearn.tests.test_common.test_all_estimators('LocallyLinearEmbedding', <class 'sklearn.manifold.locally_linear.LocallyLinearEmbedding'>) ... ok
sklearn.tests.test_common.test_all_estimators('LogisticRegression', <class 'sklearn.linear_model.logistic.LogisticRegression'>) ... ok
sklearn.tests.test_common.test_all_estimators('LogisticRegressionCV', <class 'sklearn.linear_model.logistic.LogisticRegressionCV'>) ... ok
sklearn.tests.test_common.test_all_estimators('MDS', <class 'sklearn.manifold.mds.MDS'>) ... ok
sklearn.tests.test_common.test_all_estimators('MaxAbsScaler', <class 'sklearn.preprocessing.data.MaxAbsScaler'>) ... ok
sklearn.tests.test_common.test_all_estimators('MeanShift', <class 'sklearn.cluster.mean_shift_.MeanShift'>) ... ok
sklearn.tests.test_common.test_all_estimators('MinCovDet', <class 'sklearn.covariance.robust_covariance.MinCovDet'>) ... ok
sklearn.tests.test_common.test_all_estimators('MinMaxScaler', <class 'sklearn.preprocessing.data.MinMaxScaler'>) ... ok
sklearn.tests.test_common.test_all_estimators('MiniBatchDictionaryLearning', <class 'sklearn.decomposition.dict_learning.MiniBatchDictionaryLearning'>) ... ok
sklearn.tests.test_common.test_all_estimators('MiniBatchKMeans', <class 'sklearn.cluster.k_means_.MiniBatchKMeans'>) ... ok
sklearn.tests.test_common.test_all_estimators('MiniBatchSparsePCA', <class 'sklearn.decomposition.sparse_pca.MiniBatchSparsePCA'>) ... ok
sklearn.tests.test_common.test_all_estimators('MultiTaskElasticNet', <class 'sklearn.linear_model.coordinate_descent.MultiTaskElasticNet'>) ... ok
sklearn.tests.test_common.test_all_estimators('MultiTaskElasticNetCV', <class 'sklearn.linear_model.coordinate_descent.MultiTaskElasticNetCV'>) ... ok
sklearn.tests.test_common.test_all_estimators('MultiTaskLasso', <class 'sklearn.linear_model.coordinate_descent.MultiTaskLasso'>) ... ok
sklearn.tests.test_common.test_all_estimators('MultiTaskLassoCV', <class 'sklearn.linear_model.coordinate_descent.MultiTaskLassoCV'>) ... ok
sklearn.tests.test_common.test_all_estimators('MultinomialNB', <class 'sklearn.naive_bayes.MultinomialNB'>) ... ok
sklearn.tests.test_common.test_all_estimators('NMF', <class 'sklearn.decomposition.nmf.NMF'>) ... ok
sklearn.tests.test_common.test_all_estimators('NearestCentroid', <class 'sklearn.neighbors.nearest_centroid.NearestCentroid'>) ... ok
sklearn.tests.test_common.test_all_estimators('NearestNeighbors', <class 'sklearn.neighbors.unsupervised.NearestNeighbors'>) ... ok
sklearn.tests.test_common.test_all_estimators('Normalizer', <class 'sklearn.preprocessing.data.Normalizer'>) ... ok
sklearn.tests.test_common.test_all_estimators('NuSVC', <class 'sklearn.svm.classes.NuSVC'>) ... ok
sklearn.tests.test_common.test_all_estimators('NuSVR', <class 'sklearn.svm.classes.NuSVR'>) ... ok
sklearn.tests.test_common.test_all_estimators('Nystroem', <class 'sklearn.kernel_approximation.Nystroem'>) ... ok
sklearn.tests.test_common.test_all_estimators('OAS', <class 'sklearn.covariance.shrunk_covariance_.OAS'>) ... ok
sklearn.tests.test_common.test_all_estimators('OneClassSVM', <class 'sklearn.svm.classes.OneClassSVM'>) ... ok
sklearn.tests.test_common.test_all_estimators('OneVsOneClassifier', <class 'sklearn.multiclass.OneVsOneClassifier'>) ... ok
sklearn.tests.test_common.test_all_estimators('OneVsRestClassifier', <class 'sklearn.multiclass.OneVsRestClassifier'>) ... ok
sklearn.tests.test_common.test_all_estimators('OrthogonalMatchingPursuit', <class 'sklearn.linear_model.omp.OrthogonalMatchingPursuit'>) ... ok
sklearn.tests.test_common.test_all_estimators('OrthogonalMatchingPursuitCV', <class 'sklearn.linear_model.omp.OrthogonalMatchingPursuitCV'>) ... ok
sklearn.tests.test_common.test_all_estimators('OutputCodeClassifier', <class 'sklearn.multiclass.OutputCodeClassifier'>) ... ok
sklearn.tests.test_common.test_all_estimators('PCA', <class 'sklearn.decomposition.pca.PCA'>) ... ok
sklearn.tests.test_common.test_all_estimators('PLSCanonical', <class 'sklearn.cross_decomposition.pls_.PLSCanonical'>) ... ok
sklearn.tests.test_common.test_all_estimators('PLSRegression', <class 'sklearn.cross_decomposition.pls_.PLSRegression'>) ... ok
sklearn.tests.test_common.test_all_estimators('PLSSVD', <class 'sklearn.cross_decomposition.pls_.PLSSVD'>) ... ok
sklearn.tests.test_common.test_all_estimators('PassiveAggressiveClassifier', <class 'sklearn.linear_model.passive_aggressive.PassiveAggressiveClassifier'>) ... ok
sklearn.tests.test_common.test_all_estimators('PassiveAggressiveRegressor', <class 'sklearn.linear_model.passive_aggressive.PassiveAggressiveRegressor'>) ... ok
sklearn.tests.test_common.test_all_estimators('Perceptron', <class 'sklearn.linear_model.perceptron.Perceptron'>) ... ok
sklearn.tests.test_common.test_all_estimators('ProjectedGradientNMF', <class 'sklearn.decomposition.nmf.ProjectedGradientNMF'>) ... ok
sklearn.tests.test_common.test_all_estimators('QDA', <class 'sklearn.discriminant_analysis.QuadraticDiscriminantAnalysis'>) ... ok
sklearn.tests.test_common.test_all_estimators('QuadraticDiscriminantAnalysis', <class 'sklearn.discriminant_analysis.QuadraticDiscriminantAnalysis'>) ... ok
sklearn.tests.test_common.test_all_estimators('RANSACRegressor', <class 'sklearn.linear_model.ransac.RANSACRegressor'>) ... ok
sklearn.tests.test_common.test_all_estimators('RBFSampler', <class 'sklearn.kernel_approximation.RBFSampler'>) ... ok
sklearn.tests.test_common.test_all_estimators('RFE', <class 'sklearn.feature_selection.rfe.RFE'>) ... ok
sklearn.tests.test_common.test_all_estimators('RFECV', <class 'sklearn.feature_selection.rfe.RFECV'>) ... ok
sklearn.tests.test_common.test_all_estimators('RadiusNeighborsClassifier', <class 'sklearn.neighbors.classification.RadiusNeighborsClassifier'>) ... ok
sklearn.tests.test_common.test_all_estimators('RadiusNeighborsRegressor', <class 'sklearn.neighbors.regression.RadiusNeighborsRegressor'>) ... ok
sklearn.tests.test_common.test_all_estimators('RandomForestClassifier', <class 'sklearn.ensemble.forest.RandomForestClassifier'>) ... ok
sklearn.tests.test_common.test_all_estimators('RandomForestRegressor', <class 'sklearn.ensemble.forest.RandomForestRegressor'>) ... ok
sklearn.tests.test_common.test_all_estimators('RandomizedLasso', <class 'sklearn.linear_model.randomized_l1.RandomizedLasso'>) ... ok
sklearn.tests.test_common.test_all_estimators('RandomizedLogisticRegression', <class 'sklearn.linear_model.randomized_l1.RandomizedLogisticRegression'>) ... ok
sklearn.tests.test_common.test_all_estimators('RandomizedPCA', <class 'sklearn.decomposition.pca.RandomizedPCA'>) ... ok
sklearn.tests.test_common.test_all_estimators('Ridge', <class 'sklearn.linear_model.ridge.Ridge'>) ... ok
sklearn.tests.test_common.test_all_estimators('RidgeCV', <class 'sklearn.linear_model.ridge.RidgeCV'>) ... ok
sklearn.tests.test_common.test_all_estimators('RidgeClassifier', <class 'sklearn.linear_model.ridge.RidgeClassifier'>) ... ok
sklearn.tests.test_common.test_all_estimators('RidgeClassifierCV', <class 'sklearn.linear_model.ridge.RidgeClassifierCV'>) ... ok
sklearn.tests.test_common.test_all_estimators('RobustScaler', <class 'sklearn.preprocessing.data.RobustScaler'>) ... ok
sklearn.tests.test_common.test_all_estimators('SGDClassifier', <class 'sklearn.linear_model.stochastic_gradient.SGDClassifier'>) ... ok
sklearn.tests.test_common.test_all_estimators('SGDRegressor', <class 'sklearn.linear_model.stochastic_gradient.SGDRegressor'>) ... ok
sklearn.tests.test_common.test_all_estimators('SVC', <class 'sklearn.svm.classes.SVC'>) ... ok
sklearn.tests.test_common.test_all_estimators('SVR', <class 'sklearn.svm.classes.SVR'>) ... ok
sklearn.tests.test_common.test_all_estimators('SelectFdr', <class 'sklearn.feature_selection.univariate_selection.SelectFdr'>) ... ok
sklearn.tests.test_common.test_all_estimators('SelectFpr', <class 'sklearn.feature_selection.univariate_selection.SelectFpr'>) ... ok
sklearn.tests.test_common.test_all_estimators('SelectFwe', <class 'sklearn.feature_selection.univariate_selection.SelectFwe'>) ... ok
sklearn.tests.test_common.test_all_estimators('SelectKBest', <class 'sklearn.feature_selection.univariate_selection.SelectKBest'>) ... ok
sklearn.tests.test_common.test_all_estimators('SelectPercentile', <class 'sklearn.feature_selection.univariate_selection.SelectPercentile'>) ... ok
sklearn.tests.test_common.test_all_estimators('ShrunkCovariance', <class 'sklearn.covariance.shrunk_covariance_.ShrunkCovariance'>) ... ok
sklearn.tests.test_common.test_all_estimators('SkewedChi2Sampler', <class 'sklearn.kernel_approximation.SkewedChi2Sampler'>) ... ok
sklearn.tests.test_common.test_all_estimators('SparsePCA', <class 'sklearn.decomposition.sparse_pca.SparsePCA'>) ... ok
sklearn.tests.test_common.test_all_estimators('SparseRandomProjection', <class 'sklearn.random_projection.SparseRandomProjection'>) ... ok
sklearn.tests.test_common.test_all_estimators('SpectralBiclustering', <class 'sklearn.cluster.bicluster.SpectralBiclustering'>) ... ok
sklearn.tests.test_common.test_all_estimators('SpectralClustering', <class 'sklearn.cluster.spectral.SpectralClustering'>) ... ok
sklearn.tests.test_common.test_all_estimators('SpectralCoclustering', <class 'sklearn.cluster.bicluster.SpectralCoclustering'>) ... ok
sklearn.tests.test_common.test_all_estimators('SpectralEmbedding', <class 'sklearn.manifold.spectral_embedding_.SpectralEmbedding'>) ... ok
sklearn.tests.test_common.test_all_estimators('StandardScaler', <class 'sklearn.preprocessing.data.StandardScaler'>) ... ok
sklearn.tests.test_common.test_all_estimators('TSNE', <class 'sklearn.manifold.t_sne.TSNE'>) ... ok
sklearn.tests.test_common.test_all_estimators('TheilSenRegressor', <class 'sklearn.linear_model.theil_sen.TheilSenRegressor'>) ... ok
sklearn.tests.test_common.test_all_estimators('VBGMM', <class 'sklearn.mixture.dpgmm.VBGMM'>) ... ok
sklearn.tests.test_common.test_all_estimators('VarianceThreshold', <class 'sklearn.feature_selection.variance_threshold.VarianceThreshold'>) ... ok
sklearn.tests.test_common.test_all_estimators('_BaseRidgeCV', <class 'sklearn.linear_model.ridge._BaseRidgeCV'>) ... ok
sklearn.tests.test_common.test_all_estimators('_ConstantPredictor', <class 'sklearn.multiclass._ConstantPredictor'>) ... ok
sklearn.tests.test_common.test_all_estimators('_RidgeGCV', <class 'sklearn.linear_model.ridge._RidgeGCV'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('ARDRegression', <class 'sklearn.linear_model.bayes.ARDRegression'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('ARDRegression', <class 'sklearn.linear_model.bayes.ARDRegression'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('ARDRegression', <class 'sklearn.linear_model.bayes.ARDRegression'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('ARDRegression', <class 'sklearn.linear_model.bayes.ARDRegression'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('ARDRegression', <class 'sklearn.linear_model.bayes.ARDRegression'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('ARDRegression', <class 'sklearn.linear_model.bayes.ARDRegression'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('ARDRegression', <class 'sklearn.linear_model.bayes.ARDRegression'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('ARDRegression', <class 'sklearn.linear_model.bayes.ARDRegression'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('ARDRegression', <class 'sklearn.linear_model.bayes.ARDRegression'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('ARDRegression', <class 'sklearn.linear_model.bayes.ARDRegression'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('ARDRegression', <class 'sklearn.linear_model.bayes.ARDRegression'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('ARDRegression', <class 'sklearn.linear_model.bayes.ARDRegression'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('ARDRegression', <class 'sklearn.linear_model.bayes.ARDRegression'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('ARDRegression', <class 'sklearn.linear_model.bayes.ARDRegression'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('ARDRegression', <class 'sklearn.linear_model.bayes.ARDRegression'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('ARDRegression', <class 'sklearn.linear_model.bayes.ARDRegression'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('ARDRegression', <class 'sklearn.linear_model.bayes.ARDRegression'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('ARDRegression', <class 'sklearn.linear_model.bayes.ARDRegression'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('ARDRegression', <class 'sklearn.linear_model.bayes.ARDRegression'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('ARDRegression', <class 'sklearn.linear_model.bayes.ARDRegression'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('ARDRegression', <class 'sklearn.linear_model.bayes.ARDRegression'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('ARDRegression', <class 'sklearn.linear_model.bayes.ARDRegression'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('AdaBoostClassifier', <class 'sklearn.ensemble.weight_boosting.AdaBoostClassifier'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('AdaBoostClassifier', <class 'sklearn.ensemble.weight_boosting.AdaBoostClassifier'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('AdaBoostClassifier', <class 'sklearn.ensemble.weight_boosting.AdaBoostClassifier'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('AdaBoostClassifier', <class 'sklearn.ensemble.weight_boosting.AdaBoostClassifier'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('AdaBoostClassifier', <class 'sklearn.ensemble.weight_boosting.AdaBoostClassifier'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('AdaBoostClassifier', <class 'sklearn.ensemble.weight_boosting.AdaBoostClassifier'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('AdaBoostClassifier', <class 'sklearn.ensemble.weight_boosting.AdaBoostClassifier'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('AdaBoostClassifier', <class 'sklearn.ensemble.weight_boosting.AdaBoostClassifier'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('AdaBoostClassifier', <class 'sklearn.ensemble.weight_boosting.AdaBoostClassifier'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('AdaBoostClassifier', <class 'sklearn.ensemble.weight_boosting.AdaBoostClassifier'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('AdaBoostClassifier', <class 'sklearn.ensemble.weight_boosting.AdaBoostClassifier'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('AdaBoostClassifier', <class 'sklearn.ensemble.weight_boosting.AdaBoostClassifier'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('AdaBoostClassifier', <class 'sklearn.ensemble.weight_boosting.AdaBoostClassifier'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('AdaBoostClassifier', <class 'sklearn.ensemble.weight_boosting.AdaBoostClassifier'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('AdaBoostClassifier', <class 'sklearn.ensemble.weight_boosting.AdaBoostClassifier'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('AdaBoostClassifier', <class 'sklearn.ensemble.weight_boosting.AdaBoostClassifier'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('AdaBoostClassifier', <class 'sklearn.ensemble.weight_boosting.AdaBoostClassifier'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('AdaBoostClassifier', <class 'sklearn.ensemble.weight_boosting.AdaBoostClassifier'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('AdaBoostClassifier', <class 'sklearn.ensemble.weight_boosting.AdaBoostClassifier'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('AdaBoostClassifier', <class 'sklearn.ensemble.weight_boosting.AdaBoostClassifier'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('AdaBoostClassifier', <class 'sklearn.ensemble.weight_boosting.AdaBoostClassifier'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('AdaBoostClassifier', <class 'sklearn.ensemble.weight_boosting.AdaBoostClassifier'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('AdaBoostClassifier', <class 'sklearn.ensemble.weight_boosting.AdaBoostClassifier'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('AdaBoostRegressor', <class 'sklearn.ensemble.weight_boosting.AdaBoostRegressor'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('AdaBoostRegressor', <class 'sklearn.ensemble.weight_boosting.AdaBoostRegressor'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('AdaBoostRegressor', <class 'sklearn.ensemble.weight_boosting.AdaBoostRegressor'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('AdaBoostRegressor', <class 'sklearn.ensemble.weight_boosting.AdaBoostRegressor'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('AdaBoostRegressor', <class 'sklearn.ensemble.weight_boosting.AdaBoostRegressor'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('AdaBoostRegressor', <class 'sklearn.ensemble.weight_boosting.AdaBoostRegressor'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('AdaBoostRegressor', <class 'sklearn.ensemble.weight_boosting.AdaBoostRegressor'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('AdaBoostRegressor', <class 'sklearn.ensemble.weight_boosting.AdaBoostRegressor'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('AdaBoostRegressor', <class 'sklearn.ensemble.weight_boosting.AdaBoostRegressor'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('AdaBoostRegressor', <class 'sklearn.ensemble.weight_boosting.AdaBoostRegressor'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('AdaBoostRegressor', <class 'sklearn.ensemble.weight_boosting.AdaBoostRegressor'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('AdaBoostRegressor', <class 'sklearn.ensemble.weight_boosting.AdaBoostRegressor'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('AdaBoostRegressor', <class 'sklearn.ensemble.weight_boosting.AdaBoostRegressor'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('AdaBoostRegressor', <class 'sklearn.ensemble.weight_boosting.AdaBoostRegressor'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('AdaBoostRegressor', <class 'sklearn.ensemble.weight_boosting.AdaBoostRegressor'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('AdaBoostRegressor', <class 'sklearn.ensemble.weight_boosting.AdaBoostRegressor'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('AdaBoostRegressor', <class 'sklearn.ensemble.weight_boosting.AdaBoostRegressor'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('AdaBoostRegressor', <class 'sklearn.ensemble.weight_boosting.AdaBoostRegressor'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('AdaBoostRegressor', <class 'sklearn.ensemble.weight_boosting.AdaBoostRegressor'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('AdaBoostRegressor', <class 'sklearn.ensemble.weight_boosting.AdaBoostRegressor'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('AdaBoostRegressor', <class 'sklearn.ensemble.weight_boosting.AdaBoostRegressor'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('AdaBoostRegressor', <class 'sklearn.ensemble.weight_boosting.AdaBoostRegressor'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('AdditiveChi2Sampler', <class 'sklearn.kernel_approximation.AdditiveChi2Sampler'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('AdditiveChi2Sampler', <class 'sklearn.kernel_approximation.AdditiveChi2Sampler'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('AdditiveChi2Sampler', <class 'sklearn.kernel_approximation.AdditiveChi2Sampler'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('AdditiveChi2Sampler', <class 'sklearn.kernel_approximation.AdditiveChi2Sampler'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('AdditiveChi2Sampler', <class 'sklearn.kernel_approximation.AdditiveChi2Sampler'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('AdditiveChi2Sampler', <class 'sklearn.kernel_approximation.AdditiveChi2Sampler'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('AdditiveChi2Sampler', <class 'sklearn.kernel_approximation.AdditiveChi2Sampler'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('AdditiveChi2Sampler', <class 'sklearn.kernel_approximation.AdditiveChi2Sampler'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('AdditiveChi2Sampler', <class 'sklearn.kernel_approximation.AdditiveChi2Sampler'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('AdditiveChi2Sampler', <class 'sklearn.kernel_approximation.AdditiveChi2Sampler'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('AdditiveChi2Sampler', <class 'sklearn.kernel_approximation.AdditiveChi2Sampler'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('AdditiveChi2Sampler', <class 'sklearn.kernel_approximation.AdditiveChi2Sampler'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('AdditiveChi2Sampler', <class 'sklearn.kernel_approximation.AdditiveChi2Sampler'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('AdditiveChi2Sampler', <class 'sklearn.kernel_approximation.AdditiveChi2Sampler'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('AdditiveChi2Sampler', <class 'sklearn.kernel_approximation.AdditiveChi2Sampler'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('AffinityPropagation', <class 'sklearn.cluster.affinity_propagation_.AffinityPropagation'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('AffinityPropagation', <class 'sklearn.cluster.affinity_propagation_.AffinityPropagation'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('AffinityPropagation', <class 'sklearn.cluster.affinity_propagation_.AffinityPropagation'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('AffinityPropagation', <class 'sklearn.cluster.affinity_propagation_.AffinityPropagation'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('AffinityPropagation', <class 'sklearn.cluster.affinity_propagation_.AffinityPropagation'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('AffinityPropagation', <class 'sklearn.cluster.affinity_propagation_.AffinityPropagation'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('AffinityPropagation', <class 'sklearn.cluster.affinity_propagation_.AffinityPropagation'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('AffinityPropagation', <class 'sklearn.cluster.affinity_propagation_.AffinityPropagation'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('AffinityPropagation', <class 'sklearn.cluster.affinity_propagation_.AffinityPropagation'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('AffinityPropagation', <class 'sklearn.cluster.affinity_propagation_.AffinityPropagation'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('AffinityPropagation', <class 'sklearn.cluster.affinity_propagation_.AffinityPropagation'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('AffinityPropagation', <class 'sklearn.cluster.affinity_propagation_.AffinityPropagation'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('AffinityPropagation', <class 'sklearn.cluster.affinity_propagation_.AffinityPropagation'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('AffinityPropagation', <class 'sklearn.cluster.affinity_propagation_.AffinityPropagation'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('AffinityPropagation', <class 'sklearn.cluster.affinity_propagation_.AffinityPropagation'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('AffinityPropagation', <class 'sklearn.cluster.affinity_propagation_.AffinityPropagation'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('AffinityPropagation', <class 'sklearn.cluster.affinity_propagation_.AffinityPropagation'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('AffinityPropagation', <class 'sklearn.cluster.affinity_propagation_.AffinityPropagation'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('AgglomerativeClustering', <class 'sklearn.cluster.hierarchical.AgglomerativeClustering'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('AgglomerativeClustering', <class 'sklearn.cluster.hierarchical.AgglomerativeClustering'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('AgglomerativeClustering', <class 'sklearn.cluster.hierarchical.AgglomerativeClustering'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('AgglomerativeClustering', <class 'sklearn.cluster.hierarchical.AgglomerativeClustering'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('AgglomerativeClustering', <class 'sklearn.cluster.hierarchical.AgglomerativeClustering'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('AgglomerativeClustering', <class 'sklearn.cluster.hierarchical.AgglomerativeClustering'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('AgglomerativeClustering', <class 'sklearn.cluster.hierarchical.AgglomerativeClustering'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('AgglomerativeClustering', <class 'sklearn.cluster.hierarchical.AgglomerativeClustering'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('AgglomerativeClustering', <class 'sklearn.cluster.hierarchical.AgglomerativeClustering'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('AgglomerativeClustering', <class 'sklearn.cluster.hierarchical.AgglomerativeClustering'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('AgglomerativeClustering', <class 'sklearn.cluster.hierarchical.AgglomerativeClustering'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('AgglomerativeClustering', <class 'sklearn.cluster.hierarchical.AgglomerativeClustering'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('AgglomerativeClustering', <class 'sklearn.cluster.hierarchical.AgglomerativeClustering'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('AgglomerativeClustering', <class 'sklearn.cluster.hierarchical.AgglomerativeClustering'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('AgglomerativeClustering', <class 'sklearn.cluster.hierarchical.AgglomerativeClustering'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('AgglomerativeClustering', <class 'sklearn.cluster.hierarchical.AgglomerativeClustering'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('AgglomerativeClustering', <class 'sklearn.cluster.hierarchical.AgglomerativeClustering'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('AgglomerativeClustering', <class 'sklearn.cluster.hierarchical.AgglomerativeClustering'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('BaggingClassifier', <class 'sklearn.ensemble.bagging.BaggingClassifier'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('BaggingClassifier', <class 'sklearn.ensemble.bagging.BaggingClassifier'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('BaggingClassifier', <class 'sklearn.ensemble.bagging.BaggingClassifier'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('BaggingClassifier', <class 'sklearn.ensemble.bagging.BaggingClassifier'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('BaggingClassifier', <class 'sklearn.ensemble.bagging.BaggingClassifier'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('BaggingClassifier', <class 'sklearn.ensemble.bagging.BaggingClassifier'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('BaggingClassifier', <class 'sklearn.ensemble.bagging.BaggingClassifier'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('BaggingClassifier', <class 'sklearn.ensemble.bagging.BaggingClassifier'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('BaggingClassifier', <class 'sklearn.ensemble.bagging.BaggingClassifier'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('BaggingClassifier', <class 'sklearn.ensemble.bagging.BaggingClassifier'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('BaggingClassifier', <class 'sklearn.ensemble.bagging.BaggingClassifier'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('BaggingClassifier', <class 'sklearn.ensemble.bagging.BaggingClassifier'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('BaggingClassifier', <class 'sklearn.ensemble.bagging.BaggingClassifier'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('BaggingClassifier', <class 'sklearn.ensemble.bagging.BaggingClassifier'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('BaggingClassifier', <class 'sklearn.ensemble.bagging.BaggingClassifier'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('BaggingClassifier', <class 'sklearn.ensemble.bagging.BaggingClassifier'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('BaggingClassifier', <class 'sklearn.ensemble.bagging.BaggingClassifier'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('BaggingClassifier', <class 'sklearn.ensemble.bagging.BaggingClassifier'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('BaggingClassifier', <class 'sklearn.ensemble.bagging.BaggingClassifier'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('BaggingClassifier', <class 'sklearn.ensemble.bagging.BaggingClassifier'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('BaggingClassifier', <class 'sklearn.ensemble.bagging.BaggingClassifier'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('BaggingClassifier', <class 'sklearn.ensemble.bagging.BaggingClassifier'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('BaggingClassifier', <class 'sklearn.ensemble.bagging.BaggingClassifier'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('BaggingRegressor', <class 'sklearn.ensemble.bagging.BaggingRegressor'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('BaggingRegressor', <class 'sklearn.ensemble.bagging.BaggingRegressor'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('BaggingRegressor', <class 'sklearn.ensemble.bagging.BaggingRegressor'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('BaggingRegressor', <class 'sklearn.ensemble.bagging.BaggingRegressor'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('BaggingRegressor', <class 'sklearn.ensemble.bagging.BaggingRegressor'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('BaggingRegressor', <class 'sklearn.ensemble.bagging.BaggingRegressor'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('BaggingRegressor', <class 'sklearn.ensemble.bagging.BaggingRegressor'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('BaggingRegressor', <class 'sklearn.ensemble.bagging.BaggingRegressor'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('BaggingRegressor', <class 'sklearn.ensemble.bagging.BaggingRegressor'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('BaggingRegressor', <class 'sklearn.ensemble.bagging.BaggingRegressor'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('BaggingRegressor', <class 'sklearn.ensemble.bagging.BaggingRegressor'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('BaggingRegressor', <class 'sklearn.ensemble.bagging.BaggingRegressor'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('BaggingRegressor', <class 'sklearn.ensemble.bagging.BaggingRegressor'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('BaggingRegressor', <class 'sklearn.ensemble.bagging.BaggingRegressor'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('BaggingRegressor', <class 'sklearn.ensemble.bagging.BaggingRegressor'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('BaggingRegressor', <class 'sklearn.ensemble.bagging.BaggingRegressor'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('BaggingRegressor', <class 'sklearn.ensemble.bagging.BaggingRegressor'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('BaggingRegressor', <class 'sklearn.ensemble.bagging.BaggingRegressor'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('BaggingRegressor', <class 'sklearn.ensemble.bagging.BaggingRegressor'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('BaggingRegressor', <class 'sklearn.ensemble.bagging.BaggingRegressor'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('BaggingRegressor', <class 'sklearn.ensemble.bagging.BaggingRegressor'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('BaggingRegressor', <class 'sklearn.ensemble.bagging.BaggingRegressor'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('BayesianRidge', <class 'sklearn.linear_model.bayes.BayesianRidge'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('BayesianRidge', <class 'sklearn.linear_model.bayes.BayesianRidge'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('BayesianRidge', <class 'sklearn.linear_model.bayes.BayesianRidge'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('BayesianRidge', <class 'sklearn.linear_model.bayes.BayesianRidge'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('BayesianRidge', <class 'sklearn.linear_model.bayes.BayesianRidge'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('BayesianRidge', <class 'sklearn.linear_model.bayes.BayesianRidge'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('BayesianRidge', <class 'sklearn.linear_model.bayes.BayesianRidge'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('BayesianRidge', <class 'sklearn.linear_model.bayes.BayesianRidge'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('BayesianRidge', <class 'sklearn.linear_model.bayes.BayesianRidge'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('BayesianRidge', <class 'sklearn.linear_model.bayes.BayesianRidge'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('BayesianRidge', <class 'sklearn.linear_model.bayes.BayesianRidge'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('BayesianRidge', <class 'sklearn.linear_model.bayes.BayesianRidge'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('BayesianRidge', <class 'sklearn.linear_model.bayes.BayesianRidge'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('BayesianRidge', <class 'sklearn.linear_model.bayes.BayesianRidge'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('BayesianRidge', <class 'sklearn.linear_model.bayes.BayesianRidge'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('BayesianRidge', <class 'sklearn.linear_model.bayes.BayesianRidge'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('BayesianRidge', <class 'sklearn.linear_model.bayes.BayesianRidge'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('BayesianRidge', <class 'sklearn.linear_model.bayes.BayesianRidge'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('BayesianRidge', <class 'sklearn.linear_model.bayes.BayesianRidge'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('BayesianRidge', <class 'sklearn.linear_model.bayes.BayesianRidge'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('BayesianRidge', <class 'sklearn.linear_model.bayes.BayesianRidge'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('BayesianRidge', <class 'sklearn.linear_model.bayes.BayesianRidge'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('BernoulliNB', <class 'sklearn.naive_bayes.BernoulliNB'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('BernoulliNB', <class 'sklearn.naive_bayes.BernoulliNB'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('BernoulliNB', <class 'sklearn.naive_bayes.BernoulliNB'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('BernoulliNB', <class 'sklearn.naive_bayes.BernoulliNB'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('BernoulliNB', <class 'sklearn.naive_bayes.BernoulliNB'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('BernoulliNB', <class 'sklearn.naive_bayes.BernoulliNB'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('BernoulliNB', <class 'sklearn.naive_bayes.BernoulliNB'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('BernoulliNB', <class 'sklearn.naive_bayes.BernoulliNB'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('BernoulliNB', <class 'sklearn.naive_bayes.BernoulliNB'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('BernoulliNB', <class 'sklearn.naive_bayes.BernoulliNB'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('BernoulliNB', <class 'sklearn.naive_bayes.BernoulliNB'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('BernoulliNB', <class 'sklearn.naive_bayes.BernoulliNB'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('BernoulliNB', <class 'sklearn.naive_bayes.BernoulliNB'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('BernoulliNB', <class 'sklearn.naive_bayes.BernoulliNB'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('BernoulliNB', <class 'sklearn.naive_bayes.BernoulliNB'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('BernoulliNB', <class 'sklearn.naive_bayes.BernoulliNB'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('BernoulliNB', <class 'sklearn.naive_bayes.BernoulliNB'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('BernoulliNB', <class 'sklearn.naive_bayes.BernoulliNB'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('BernoulliNB', <class 'sklearn.naive_bayes.BernoulliNB'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('BernoulliNB', <class 'sklearn.naive_bayes.BernoulliNB'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('BernoulliNB', <class 'sklearn.naive_bayes.BernoulliNB'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('BernoulliNB', <class 'sklearn.naive_bayes.BernoulliNB'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('BernoulliNB', <class 'sklearn.naive_bayes.BernoulliNB'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('BernoulliRBM', <class 'sklearn.neural_network.rbm.BernoulliRBM'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('BernoulliRBM', <class 'sklearn.neural_network.rbm.BernoulliRBM'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('BernoulliRBM', <class 'sklearn.neural_network.rbm.BernoulliRBM'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('BernoulliRBM', <class 'sklearn.neural_network.rbm.BernoulliRBM'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('BernoulliRBM', <class 'sklearn.neural_network.rbm.BernoulliRBM'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('BernoulliRBM', <class 'sklearn.neural_network.rbm.BernoulliRBM'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('BernoulliRBM', <class 'sklearn.neural_network.rbm.BernoulliRBM'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('BernoulliRBM', <class 'sklearn.neural_network.rbm.BernoulliRBM'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('BernoulliRBM', <class 'sklearn.neural_network.rbm.BernoulliRBM'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('BernoulliRBM', <class 'sklearn.neural_network.rbm.BernoulliRBM'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('BernoulliRBM', <class 'sklearn.neural_network.rbm.BernoulliRBM'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('BernoulliRBM', <class 'sklearn.neural_network.rbm.BernoulliRBM'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('BernoulliRBM', <class 'sklearn.neural_network.rbm.BernoulliRBM'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('BernoulliRBM', <class 'sklearn.neural_network.rbm.BernoulliRBM'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('BernoulliRBM', <class 'sklearn.neural_network.rbm.BernoulliRBM'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('BernoulliRBM', <class 'sklearn.neural_network.rbm.BernoulliRBM'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('BernoulliRBM', <class 'sklearn.neural_network.rbm.BernoulliRBM'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('BernoulliRBM', <class 'sklearn.neural_network.rbm.BernoulliRBM'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('Binarizer', <class 'sklearn.preprocessing.data.Binarizer'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('Binarizer', <class 'sklearn.preprocessing.data.Binarizer'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('Binarizer', <class 'sklearn.preprocessing.data.Binarizer'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('Binarizer', <class 'sklearn.preprocessing.data.Binarizer'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('Binarizer', <class 'sklearn.preprocessing.data.Binarizer'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('Binarizer', <class 'sklearn.preprocessing.data.Binarizer'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('Binarizer', <class 'sklearn.preprocessing.data.Binarizer'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('Binarizer', <class 'sklearn.preprocessing.data.Binarizer'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('Binarizer', <class 'sklearn.preprocessing.data.Binarizer'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('Binarizer', <class 'sklearn.preprocessing.data.Binarizer'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('Binarizer', <class 'sklearn.preprocessing.data.Binarizer'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('Binarizer', <class 'sklearn.preprocessing.data.Binarizer'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('Binarizer', <class 'sklearn.preprocessing.data.Binarizer'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('Binarizer', <class 'sklearn.preprocessing.data.Binarizer'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('Binarizer', <class 'sklearn.preprocessing.data.Binarizer'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('Birch', <class 'sklearn.cluster.birch.Birch'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('Birch', <class 'sklearn.cluster.birch.Birch'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('Birch', <class 'sklearn.cluster.birch.Birch'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('Birch', <class 'sklearn.cluster.birch.Birch'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('Birch', <class 'sklearn.cluster.birch.Birch'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('Birch', <class 'sklearn.cluster.birch.Birch'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('Birch', <class 'sklearn.cluster.birch.Birch'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('Birch', <class 'sklearn.cluster.birch.Birch'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('Birch', <class 'sklearn.cluster.birch.Birch'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('Birch', <class 'sklearn.cluster.birch.Birch'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('Birch', <class 'sklearn.cluster.birch.Birch'>) ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/birch.py:601: 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:601: UserWarning: Number of subclusters found (2) by Birch is less than (3). Decrease the threshold.
% (len(centroids), self.n_clusters))
ok
sklearn.tests.test_common.test_non_meta_estimators('Birch', <class 'sklearn.cluster.birch.Birch'>) ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cluster/birch.py:601: 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:601: 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:601: 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:601: UserWarning: Number of subclusters found (2) by Birch is less than (3). Decrease the threshold.
% (len(centroids), self.n_clusters))
ok
sklearn.tests.test_common.test_non_meta_estimators('Birch', <class 'sklearn.cluster.birch.Birch'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('Birch', <class 'sklearn.cluster.birch.Birch'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('Birch', <class 'sklearn.cluster.birch.Birch'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('Birch', <class 'sklearn.cluster.birch.Birch'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('Birch', <class 'sklearn.cluster.birch.Birch'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('Birch', <class 'sklearn.cluster.birch.Birch'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('Birch', <class 'sklearn.cluster.birch.Birch'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('Birch', <class 'sklearn.cluster.birch.Birch'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('Birch', <class 'sklearn.cluster.birch.Birch'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('CCA', <class 'sklearn.cross_decomposition.cca_.CCA'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('CCA', <class 'sklearn.cross_decomposition.cca_.CCA'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('CCA', <class 'sklearn.cross_decomposition.cca_.CCA'>) ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cross_decomposition/pls_.py:288: UserWarning: Y residual constant at iteration 1
warnings.warn('Y residual constant at iteration %s' % k)
ok
sklearn.tests.test_common.test_non_meta_estimators('CCA', <class 'sklearn.cross_decomposition.cca_.CCA'>) ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cross_decomposition/pls_.py:288: UserWarning: Y residual constant at iteration 1
warnings.warn('Y residual constant at iteration %s' % k)
ok
sklearn.tests.test_common.test_non_meta_estimators('CCA', <class 'sklearn.cross_decomposition.cca_.CCA'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('CCA', <class 'sklearn.cross_decomposition.cca_.CCA'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('CCA', <class 'sklearn.cross_decomposition.cca_.CCA'>) ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cross_decomposition/pls_.py:288: UserWarning: Y residual constant at iteration 1
warnings.warn('Y residual constant at iteration %s' % k)
ok
sklearn.tests.test_common.test_non_meta_estimators('CCA', <class 'sklearn.cross_decomposition.cca_.CCA'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('CCA', <class 'sklearn.cross_decomposition.cca_.CCA'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('CCA', <class 'sklearn.cross_decomposition.cca_.CCA'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('CCA', <class 'sklearn.cross_decomposition.cca_.CCA'>) ... SKIP
sklearn.tests.test_common.test_non_meta_estimators('CCA', <class 'sklearn.cross_decomposition.cca_.CCA'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('CCA', <class 'sklearn.cross_decomposition.cca_.CCA'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('CCA', <class 'sklearn.cross_decomposition.cca_.CCA'>) ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cross_decomposition/pls_.py:288: UserWarning: Y residual constant at iteration 1
warnings.warn('Y residual constant at iteration %s' % k)
ok
sklearn.tests.test_common.test_non_meta_estimators('CCA', <class 'sklearn.cross_decomposition.cca_.CCA'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('CCA', <class 'sklearn.cross_decomposition.cca_.CCA'>) ... SKIP: CCA is non deterministic on 32bit Python
sklearn.tests.test_common.test_non_meta_estimators('CCA', <class 'sklearn.cross_decomposition.cca_.CCA'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('CCA', <class 'sklearn.cross_decomposition.cca_.CCA'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('CCA', <class 'sklearn.cross_decomposition.cca_.CCA'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('CCA', <class 'sklearn.cross_decomposition.cca_.CCA'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('CCA', <class 'sklearn.cross_decomposition.cca_.CCA'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('CCA', <class 'sklearn.cross_decomposition.cca_.CCA'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('CalibratedClassifierCV', <class 'sklearn.calibration.CalibratedClassifierCV'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('CalibratedClassifierCV', <class 'sklearn.calibration.CalibratedClassifierCV'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('CalibratedClassifierCV', <class 'sklearn.calibration.CalibratedClassifierCV'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('CalibratedClassifierCV', <class 'sklearn.calibration.CalibratedClassifierCV'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('CalibratedClassifierCV', <class 'sklearn.calibration.CalibratedClassifierCV'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('CalibratedClassifierCV', <class 'sklearn.calibration.CalibratedClassifierCV'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('CalibratedClassifierCV', <class 'sklearn.calibration.CalibratedClassifierCV'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('CalibratedClassifierCV', <class 'sklearn.calibration.CalibratedClassifierCV'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('CalibratedClassifierCV', <class 'sklearn.calibration.CalibratedClassifierCV'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('CalibratedClassifierCV', <class 'sklearn.calibration.CalibratedClassifierCV'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('CalibratedClassifierCV', <class 'sklearn.calibration.CalibratedClassifierCV'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('CalibratedClassifierCV', <class 'sklearn.calibration.CalibratedClassifierCV'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('CalibratedClassifierCV', <class 'sklearn.calibration.CalibratedClassifierCV'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('CalibratedClassifierCV', <class 'sklearn.calibration.CalibratedClassifierCV'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('CalibratedClassifierCV', <class 'sklearn.calibration.CalibratedClassifierCV'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('CalibratedClassifierCV', <class 'sklearn.calibration.CalibratedClassifierCV'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('CalibratedClassifierCV', <class 'sklearn.calibration.CalibratedClassifierCV'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('CalibratedClassifierCV', <class 'sklearn.calibration.CalibratedClassifierCV'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('CalibratedClassifierCV', <class 'sklearn.calibration.CalibratedClassifierCV'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('CalibratedClassifierCV', <class 'sklearn.calibration.CalibratedClassifierCV'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('CalibratedClassifierCV', <class 'sklearn.calibration.CalibratedClassifierCV'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('CalibratedClassifierCV', <class 'sklearn.calibration.CalibratedClassifierCV'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('CalibratedClassifierCV', <class 'sklearn.calibration.CalibratedClassifierCV'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('DBSCAN', <class 'sklearn.cluster.dbscan_.DBSCAN'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('DBSCAN', <class 'sklearn.cluster.dbscan_.DBSCAN'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('DBSCAN', <class 'sklearn.cluster.dbscan_.DBSCAN'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('DBSCAN', <class 'sklearn.cluster.dbscan_.DBSCAN'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('DBSCAN', <class 'sklearn.cluster.dbscan_.DBSCAN'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('DBSCAN', <class 'sklearn.cluster.dbscan_.DBSCAN'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('DBSCAN', <class 'sklearn.cluster.dbscan_.DBSCAN'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('DBSCAN', <class 'sklearn.cluster.dbscan_.DBSCAN'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('DBSCAN', <class 'sklearn.cluster.dbscan_.DBSCAN'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('DBSCAN', <class 'sklearn.cluster.dbscan_.DBSCAN'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('DBSCAN', <class 'sklearn.cluster.dbscan_.DBSCAN'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('DBSCAN', <class 'sklearn.cluster.dbscan_.DBSCAN'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('DBSCAN', <class 'sklearn.cluster.dbscan_.DBSCAN'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('DBSCAN', <class 'sklearn.cluster.dbscan_.DBSCAN'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('DBSCAN', <class 'sklearn.cluster.dbscan_.DBSCAN'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('DBSCAN', <class 'sklearn.cluster.dbscan_.DBSCAN'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('DBSCAN', <class 'sklearn.cluster.dbscan_.DBSCAN'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('DBSCAN', <class 'sklearn.cluster.dbscan_.DBSCAN'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('DPGMM', <class 'sklearn.mixture.dpgmm.DPGMM'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('DPGMM', <class 'sklearn.mixture.dpgmm.DPGMM'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('DPGMM', <class 'sklearn.mixture.dpgmm.DPGMM'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('DPGMM', <class 'sklearn.mixture.dpgmm.DPGMM'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('DPGMM', <class 'sklearn.mixture.dpgmm.DPGMM'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('DPGMM', <class 'sklearn.mixture.dpgmm.DPGMM'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('DPGMM', <class 'sklearn.mixture.dpgmm.DPGMM'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('DPGMM', <class 'sklearn.mixture.dpgmm.DPGMM'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('DPGMM', <class 'sklearn.mixture.dpgmm.DPGMM'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('DPGMM', <class 'sklearn.mixture.dpgmm.DPGMM'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('DPGMM', <class 'sklearn.mixture.dpgmm.DPGMM'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('DPGMM', <class 'sklearn.mixture.dpgmm.DPGMM'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('DPGMM', <class 'sklearn.mixture.dpgmm.DPGMM'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('DPGMM', <class 'sklearn.mixture.dpgmm.DPGMM'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('DPGMM', <class 'sklearn.mixture.dpgmm.DPGMM'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('DecisionTreeClassifier', <class 'sklearn.tree.tree.DecisionTreeClassifier'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('DecisionTreeClassifier', <class 'sklearn.tree.tree.DecisionTreeClassifier'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('DecisionTreeClassifier', <class 'sklearn.tree.tree.DecisionTreeClassifier'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('DecisionTreeClassifier', <class 'sklearn.tree.tree.DecisionTreeClassifier'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('DecisionTreeClassifier', <class 'sklearn.tree.tree.DecisionTreeClassifier'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('DecisionTreeClassifier', <class 'sklearn.tree.tree.DecisionTreeClassifier'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('DecisionTreeClassifier', <class 'sklearn.tree.tree.DecisionTreeClassifier'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('DecisionTreeClassifier', <class 'sklearn.tree.tree.DecisionTreeClassifier'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('DecisionTreeClassifier', <class 'sklearn.tree.tree.DecisionTreeClassifier'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('DecisionTreeClassifier', <class 'sklearn.tree.tree.DecisionTreeClassifier'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('DecisionTreeClassifier', <class 'sklearn.tree.tree.DecisionTreeClassifier'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('DecisionTreeClassifier', <class 'sklearn.tree.tree.DecisionTreeClassifier'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('DecisionTreeClassifier', <class 'sklearn.tree.tree.DecisionTreeClassifier'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('DecisionTreeClassifier', <class 'sklearn.tree.tree.DecisionTreeClassifier'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('DecisionTreeClassifier', <class 'sklearn.tree.tree.DecisionTreeClassifier'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('DecisionTreeClassifier', <class 'sklearn.tree.tree.DecisionTreeClassifier'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('DecisionTreeClassifier', <class 'sklearn.tree.tree.DecisionTreeClassifier'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('DecisionTreeClassifier', <class 'sklearn.tree.tree.DecisionTreeClassifier'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('DecisionTreeClassifier', <class 'sklearn.tree.tree.DecisionTreeClassifier'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('DecisionTreeClassifier', <class 'sklearn.tree.tree.DecisionTreeClassifier'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('DecisionTreeClassifier', <class 'sklearn.tree.tree.DecisionTreeClassifier'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('DecisionTreeClassifier', <class 'sklearn.tree.tree.DecisionTreeClassifier'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('DecisionTreeClassifier', <class 'sklearn.tree.tree.DecisionTreeClassifier'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('DecisionTreeRegressor', <class 'sklearn.tree.tree.DecisionTreeRegressor'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('DecisionTreeRegressor', <class 'sklearn.tree.tree.DecisionTreeRegressor'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('DecisionTreeRegressor', <class 'sklearn.tree.tree.DecisionTreeRegressor'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('DecisionTreeRegressor', <class 'sklearn.tree.tree.DecisionTreeRegressor'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('DecisionTreeRegressor', <class 'sklearn.tree.tree.DecisionTreeRegressor'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('DecisionTreeRegressor', <class 'sklearn.tree.tree.DecisionTreeRegressor'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('DecisionTreeRegressor', <class 'sklearn.tree.tree.DecisionTreeRegressor'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('DecisionTreeRegressor', <class 'sklearn.tree.tree.DecisionTreeRegressor'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('DecisionTreeRegressor', <class 'sklearn.tree.tree.DecisionTreeRegressor'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('DecisionTreeRegressor', <class 'sklearn.tree.tree.DecisionTreeRegressor'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('DecisionTreeRegressor', <class 'sklearn.tree.tree.DecisionTreeRegressor'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('DecisionTreeRegressor', <class 'sklearn.tree.tree.DecisionTreeRegressor'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('DecisionTreeRegressor', <class 'sklearn.tree.tree.DecisionTreeRegressor'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('DecisionTreeRegressor', <class 'sklearn.tree.tree.DecisionTreeRegressor'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('DecisionTreeRegressor', <class 'sklearn.tree.tree.DecisionTreeRegressor'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('DecisionTreeRegressor', <class 'sklearn.tree.tree.DecisionTreeRegressor'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('DecisionTreeRegressor', <class 'sklearn.tree.tree.DecisionTreeRegressor'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('DecisionTreeRegressor', <class 'sklearn.tree.tree.DecisionTreeRegressor'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('DecisionTreeRegressor', <class 'sklearn.tree.tree.DecisionTreeRegressor'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('DecisionTreeRegressor', <class 'sklearn.tree.tree.DecisionTreeRegressor'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('DecisionTreeRegressor', <class 'sklearn.tree.tree.DecisionTreeRegressor'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('DecisionTreeRegressor', <class 'sklearn.tree.tree.DecisionTreeRegressor'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('DictionaryLearning', <class 'sklearn.decomposition.dict_learning.DictionaryLearning'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('DictionaryLearning', <class 'sklearn.decomposition.dict_learning.DictionaryLearning'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('DictionaryLearning', <class 'sklearn.decomposition.dict_learning.DictionaryLearning'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('DictionaryLearning', <class 'sklearn.decomposition.dict_learning.DictionaryLearning'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('DictionaryLearning', <class 'sklearn.decomposition.dict_learning.DictionaryLearning'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('DictionaryLearning', <class 'sklearn.decomposition.dict_learning.DictionaryLearning'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('DictionaryLearning', <class 'sklearn.decomposition.dict_learning.DictionaryLearning'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('DictionaryLearning', <class 'sklearn.decomposition.dict_learning.DictionaryLearning'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('DictionaryLearning', <class 'sklearn.decomposition.dict_learning.DictionaryLearning'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('DictionaryLearning', <class 'sklearn.decomposition.dict_learning.DictionaryLearning'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('DictionaryLearning', <class 'sklearn.decomposition.dict_learning.DictionaryLearning'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('DictionaryLearning', <class 'sklearn.decomposition.dict_learning.DictionaryLearning'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('DictionaryLearning', <class 'sklearn.decomposition.dict_learning.DictionaryLearning'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('DictionaryLearning', <class 'sklearn.decomposition.dict_learning.DictionaryLearning'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('DictionaryLearning', <class 'sklearn.decomposition.dict_learning.DictionaryLearning'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('DictionaryLearning', <class 'sklearn.decomposition.dict_learning.DictionaryLearning'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('DictionaryLearning', <class 'sklearn.decomposition.dict_learning.DictionaryLearning'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('DictionaryLearning', <class 'sklearn.decomposition.dict_learning.DictionaryLearning'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('ElasticNet', <class 'sklearn.linear_model.coordinate_descent.ElasticNet'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('ElasticNet', <class 'sklearn.linear_model.coordinate_descent.ElasticNet'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('ElasticNet', <class 'sklearn.linear_model.coordinate_descent.ElasticNet'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('ElasticNet', <class 'sklearn.linear_model.coordinate_descent.ElasticNet'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('ElasticNet', <class 'sklearn.linear_model.coordinate_descent.ElasticNet'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('ElasticNet', <class 'sklearn.linear_model.coordinate_descent.ElasticNet'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('ElasticNet', <class 'sklearn.linear_model.coordinate_descent.ElasticNet'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('ElasticNet', <class 'sklearn.linear_model.coordinate_descent.ElasticNet'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('ElasticNet', <class 'sklearn.linear_model.coordinate_descent.ElasticNet'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('ElasticNet', <class 'sklearn.linear_model.coordinate_descent.ElasticNet'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('ElasticNet', <class 'sklearn.linear_model.coordinate_descent.ElasticNet'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('ElasticNet', <class 'sklearn.linear_model.coordinate_descent.ElasticNet'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('ElasticNet', <class 'sklearn.linear_model.coordinate_descent.ElasticNet'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('ElasticNet', <class 'sklearn.linear_model.coordinate_descent.ElasticNet'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('ElasticNet', <class 'sklearn.linear_model.coordinate_descent.ElasticNet'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('ElasticNet', <class 'sklearn.linear_model.coordinate_descent.ElasticNet'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('ElasticNet', <class 'sklearn.linear_model.coordinate_descent.ElasticNet'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('ElasticNet', <class 'sklearn.linear_model.coordinate_descent.ElasticNet'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('ElasticNet', <class 'sklearn.linear_model.coordinate_descent.ElasticNet'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('ElasticNet', <class 'sklearn.linear_model.coordinate_descent.ElasticNet'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('ElasticNet', <class 'sklearn.linear_model.coordinate_descent.ElasticNet'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('ElasticNet', <class 'sklearn.linear_model.coordinate_descent.ElasticNet'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('ElasticNetCV', <class 'sklearn.linear_model.coordinate_descent.ElasticNetCV'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('ElasticNetCV', <class 'sklearn.linear_model.coordinate_descent.ElasticNetCV'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('ElasticNetCV', <class 'sklearn.linear_model.coordinate_descent.ElasticNetCV'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('ElasticNetCV', <class 'sklearn.linear_model.coordinate_descent.ElasticNetCV'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('ElasticNetCV', <class 'sklearn.linear_model.coordinate_descent.ElasticNetCV'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('ElasticNetCV', <class 'sklearn.linear_model.coordinate_descent.ElasticNetCV'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('ElasticNetCV', <class 'sklearn.linear_model.coordinate_descent.ElasticNetCV'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('ElasticNetCV', <class 'sklearn.linear_model.coordinate_descent.ElasticNetCV'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('ElasticNetCV', <class 'sklearn.linear_model.coordinate_descent.ElasticNetCV'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('ElasticNetCV', <class 'sklearn.linear_model.coordinate_descent.ElasticNetCV'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('ElasticNetCV', <class 'sklearn.linear_model.coordinate_descent.ElasticNetCV'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('ElasticNetCV', <class 'sklearn.linear_model.coordinate_descent.ElasticNetCV'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('ElasticNetCV', <class 'sklearn.linear_model.coordinate_descent.ElasticNetCV'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('ElasticNetCV', <class 'sklearn.linear_model.coordinate_descent.ElasticNetCV'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('ElasticNetCV', <class 'sklearn.linear_model.coordinate_descent.ElasticNetCV'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('ElasticNetCV', <class 'sklearn.linear_model.coordinate_descent.ElasticNetCV'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('ElasticNetCV', <class 'sklearn.linear_model.coordinate_descent.ElasticNetCV'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('ElasticNetCV', <class 'sklearn.linear_model.coordinate_descent.ElasticNetCV'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('ElasticNetCV', <class 'sklearn.linear_model.coordinate_descent.ElasticNetCV'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('ElasticNetCV', <class 'sklearn.linear_model.coordinate_descent.ElasticNetCV'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('ElasticNetCV', <class 'sklearn.linear_model.coordinate_descent.ElasticNetCV'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('ElasticNetCV', <class 'sklearn.linear_model.coordinate_descent.ElasticNetCV'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('EmpiricalCovariance', <class 'sklearn.covariance.empirical_covariance_.EmpiricalCovariance'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('EmpiricalCovariance', <class 'sklearn.covariance.empirical_covariance_.EmpiricalCovariance'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('EmpiricalCovariance', <class 'sklearn.covariance.empirical_covariance_.EmpiricalCovariance'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('EmpiricalCovariance', <class 'sklearn.covariance.empirical_covariance_.EmpiricalCovariance'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('EmpiricalCovariance', <class 'sklearn.covariance.empirical_covariance_.EmpiricalCovariance'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('EmpiricalCovariance', <class 'sklearn.covariance.empirical_covariance_.EmpiricalCovariance'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('EmpiricalCovariance', <class 'sklearn.covariance.empirical_covariance_.EmpiricalCovariance'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('EmpiricalCovariance', <class 'sklearn.covariance.empirical_covariance_.EmpiricalCovariance'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('EmpiricalCovariance', <class 'sklearn.covariance.empirical_covariance_.EmpiricalCovariance'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('EmpiricalCovariance', <class 'sklearn.covariance.empirical_covariance_.EmpiricalCovariance'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('EmpiricalCovariance', <class 'sklearn.covariance.empirical_covariance_.EmpiricalCovariance'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('EmpiricalCovariance', <class 'sklearn.covariance.empirical_covariance_.EmpiricalCovariance'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('EmpiricalCovariance', <class 'sklearn.covariance.empirical_covariance_.EmpiricalCovariance'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('EmpiricalCovariance', <class 'sklearn.covariance.empirical_covariance_.EmpiricalCovariance'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('EmpiricalCovariance', <class 'sklearn.covariance.empirical_covariance_.EmpiricalCovariance'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('ExtraTreeClassifier', <class 'sklearn.tree.tree.ExtraTreeClassifier'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('ExtraTreeClassifier', <class 'sklearn.tree.tree.ExtraTreeClassifier'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('ExtraTreeClassifier', <class 'sklearn.tree.tree.ExtraTreeClassifier'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('ExtraTreeClassifier', <class 'sklearn.tree.tree.ExtraTreeClassifier'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('ExtraTreeClassifier', <class 'sklearn.tree.tree.ExtraTreeClassifier'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('ExtraTreeClassifier', <class 'sklearn.tree.tree.ExtraTreeClassifier'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('ExtraTreeClassifier', <class 'sklearn.tree.tree.ExtraTreeClassifier'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('ExtraTreeClassifier', <class 'sklearn.tree.tree.ExtraTreeClassifier'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('ExtraTreeClassifier', <class 'sklearn.tree.tree.ExtraTreeClassifier'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('ExtraTreeClassifier', <class 'sklearn.tree.tree.ExtraTreeClassifier'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('ExtraTreeClassifier', <class 'sklearn.tree.tree.ExtraTreeClassifier'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('ExtraTreeClassifier', <class 'sklearn.tree.tree.ExtraTreeClassifier'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('ExtraTreeClassifier', <class 'sklearn.tree.tree.ExtraTreeClassifier'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('ExtraTreeClassifier', <class 'sklearn.tree.tree.ExtraTreeClassifier'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('ExtraTreeClassifier', <class 'sklearn.tree.tree.ExtraTreeClassifier'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('ExtraTreeClassifier', <class 'sklearn.tree.tree.ExtraTreeClassifier'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('ExtraTreeClassifier', <class 'sklearn.tree.tree.ExtraTreeClassifier'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('ExtraTreeClassifier', <class 'sklearn.tree.tree.ExtraTreeClassifier'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('ExtraTreeClassifier', <class 'sklearn.tree.tree.ExtraTreeClassifier'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('ExtraTreeClassifier', <class 'sklearn.tree.tree.ExtraTreeClassifier'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('ExtraTreeClassifier', <class 'sklearn.tree.tree.ExtraTreeClassifier'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('ExtraTreeClassifier', <class 'sklearn.tree.tree.ExtraTreeClassifier'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('ExtraTreeClassifier', <class 'sklearn.tree.tree.ExtraTreeClassifier'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('ExtraTreeRegressor', <class 'sklearn.tree.tree.ExtraTreeRegressor'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('ExtraTreeRegressor', <class 'sklearn.tree.tree.ExtraTreeRegressor'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('ExtraTreeRegressor', <class 'sklearn.tree.tree.ExtraTreeRegressor'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('ExtraTreeRegressor', <class 'sklearn.tree.tree.ExtraTreeRegressor'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('ExtraTreeRegressor', <class 'sklearn.tree.tree.ExtraTreeRegressor'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('ExtraTreeRegressor', <class 'sklearn.tree.tree.ExtraTreeRegressor'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('ExtraTreeRegressor', <class 'sklearn.tree.tree.ExtraTreeRegressor'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('ExtraTreeRegressor', <class 'sklearn.tree.tree.ExtraTreeRegressor'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('ExtraTreeRegressor', <class 'sklearn.tree.tree.ExtraTreeRegressor'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('ExtraTreeRegressor', <class 'sklearn.tree.tree.ExtraTreeRegressor'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('ExtraTreeRegressor', <class 'sklearn.tree.tree.ExtraTreeRegressor'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('ExtraTreeRegressor', <class 'sklearn.tree.tree.ExtraTreeRegressor'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('ExtraTreeRegressor', <class 'sklearn.tree.tree.ExtraTreeRegressor'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('ExtraTreeRegressor', <class 'sklearn.tree.tree.ExtraTreeRegressor'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('ExtraTreeRegressor', <class 'sklearn.tree.tree.ExtraTreeRegressor'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('ExtraTreeRegressor', <class 'sklearn.tree.tree.ExtraTreeRegressor'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('ExtraTreeRegressor', <class 'sklearn.tree.tree.ExtraTreeRegressor'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('ExtraTreeRegressor', <class 'sklearn.tree.tree.ExtraTreeRegressor'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('ExtraTreeRegressor', <class 'sklearn.tree.tree.ExtraTreeRegressor'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('ExtraTreeRegressor', <class 'sklearn.tree.tree.ExtraTreeRegressor'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('ExtraTreeRegressor', <class 'sklearn.tree.tree.ExtraTreeRegressor'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('ExtraTreeRegressor', <class 'sklearn.tree.tree.ExtraTreeRegressor'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('ExtraTreesClassifier', <class 'sklearn.ensemble.forest.ExtraTreesClassifier'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('ExtraTreesClassifier', <class 'sklearn.ensemble.forest.ExtraTreesClassifier'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('ExtraTreesClassifier', <class 'sklearn.ensemble.forest.ExtraTreesClassifier'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('ExtraTreesClassifier', <class 'sklearn.ensemble.forest.ExtraTreesClassifier'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('ExtraTreesClassifier', <class 'sklearn.ensemble.forest.ExtraTreesClassifier'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('ExtraTreesClassifier', <class 'sklearn.ensemble.forest.ExtraTreesClassifier'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('ExtraTreesClassifier', <class 'sklearn.ensemble.forest.ExtraTreesClassifier'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('ExtraTreesClassifier', <class 'sklearn.ensemble.forest.ExtraTreesClassifier'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('ExtraTreesClassifier', <class 'sklearn.ensemble.forest.ExtraTreesClassifier'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('ExtraTreesClassifier', <class 'sklearn.ensemble.forest.ExtraTreesClassifier'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('ExtraTreesClassifier', <class 'sklearn.ensemble.forest.ExtraTreesClassifier'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('ExtraTreesClassifier', <class 'sklearn.ensemble.forest.ExtraTreesClassifier'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('ExtraTreesClassifier', <class 'sklearn.ensemble.forest.ExtraTreesClassifier'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('ExtraTreesClassifier', <class 'sklearn.ensemble.forest.ExtraTreesClassifier'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('ExtraTreesClassifier', <class 'sklearn.ensemble.forest.ExtraTreesClassifier'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('ExtraTreesClassifier', <class 'sklearn.ensemble.forest.ExtraTreesClassifier'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('ExtraTreesClassifier', <class 'sklearn.ensemble.forest.ExtraTreesClassifier'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('ExtraTreesClassifier', <class 'sklearn.ensemble.forest.ExtraTreesClassifier'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('ExtraTreesClassifier', <class 'sklearn.ensemble.forest.ExtraTreesClassifier'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('ExtraTreesClassifier', <class 'sklearn.ensemble.forest.ExtraTreesClassifier'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('ExtraTreesClassifier', <class 'sklearn.ensemble.forest.ExtraTreesClassifier'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('ExtraTreesClassifier', <class 'sklearn.ensemble.forest.ExtraTreesClassifier'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('ExtraTreesClassifier', <class 'sklearn.ensemble.forest.ExtraTreesClassifier'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('ExtraTreesClassifier', <class 'sklearn.ensemble.forest.ExtraTreesClassifier'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('ExtraTreesRegressor', <class 'sklearn.ensemble.forest.ExtraTreesRegressor'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('ExtraTreesRegressor', <class 'sklearn.ensemble.forest.ExtraTreesRegressor'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('ExtraTreesRegressor', <class 'sklearn.ensemble.forest.ExtraTreesRegressor'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('ExtraTreesRegressor', <class 'sklearn.ensemble.forest.ExtraTreesRegressor'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('ExtraTreesRegressor', <class 'sklearn.ensemble.forest.ExtraTreesRegressor'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('ExtraTreesRegressor', <class 'sklearn.ensemble.forest.ExtraTreesRegressor'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('ExtraTreesRegressor', <class 'sklearn.ensemble.forest.ExtraTreesRegressor'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('ExtraTreesRegressor', <class 'sklearn.ensemble.forest.ExtraTreesRegressor'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('ExtraTreesRegressor', <class 'sklearn.ensemble.forest.ExtraTreesRegressor'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('ExtraTreesRegressor', <class 'sklearn.ensemble.forest.ExtraTreesRegressor'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('ExtraTreesRegressor', <class 'sklearn.ensemble.forest.ExtraTreesRegressor'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('ExtraTreesRegressor', <class 'sklearn.ensemble.forest.ExtraTreesRegressor'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('ExtraTreesRegressor', <class 'sklearn.ensemble.forest.ExtraTreesRegressor'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('ExtraTreesRegressor', <class 'sklearn.ensemble.forest.ExtraTreesRegressor'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('ExtraTreesRegressor', <class 'sklearn.ensemble.forest.ExtraTreesRegressor'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('ExtraTreesRegressor', <class 'sklearn.ensemble.forest.ExtraTreesRegressor'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('ExtraTreesRegressor', <class 'sklearn.ensemble.forest.ExtraTreesRegressor'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('ExtraTreesRegressor', <class 'sklearn.ensemble.forest.ExtraTreesRegressor'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('ExtraTreesRegressor', <class 'sklearn.ensemble.forest.ExtraTreesRegressor'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('ExtraTreesRegressor', <class 'sklearn.ensemble.forest.ExtraTreesRegressor'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('ExtraTreesRegressor', <class 'sklearn.ensemble.forest.ExtraTreesRegressor'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('ExtraTreesRegressor', <class 'sklearn.ensemble.forest.ExtraTreesRegressor'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('FactorAnalysis', <class 'sklearn.decomposition.factor_analysis.FactorAnalysis'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('FactorAnalysis', <class 'sklearn.decomposition.factor_analysis.FactorAnalysis'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('FactorAnalysis', <class 'sklearn.decomposition.factor_analysis.FactorAnalysis'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('FactorAnalysis', <class 'sklearn.decomposition.factor_analysis.FactorAnalysis'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('FactorAnalysis', <class 'sklearn.decomposition.factor_analysis.FactorAnalysis'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('FactorAnalysis', <class 'sklearn.decomposition.factor_analysis.FactorAnalysis'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('FactorAnalysis', <class 'sklearn.decomposition.factor_analysis.FactorAnalysis'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('FactorAnalysis', <class 'sklearn.decomposition.factor_analysis.FactorAnalysis'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('FactorAnalysis', <class 'sklearn.decomposition.factor_analysis.FactorAnalysis'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('FactorAnalysis', <class 'sklearn.decomposition.factor_analysis.FactorAnalysis'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('FactorAnalysis', <class 'sklearn.decomposition.factor_analysis.FactorAnalysis'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('FactorAnalysis', <class 'sklearn.decomposition.factor_analysis.FactorAnalysis'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('FactorAnalysis', <class 'sklearn.decomposition.factor_analysis.FactorAnalysis'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('FactorAnalysis', <class 'sklearn.decomposition.factor_analysis.FactorAnalysis'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('FactorAnalysis', <class 'sklearn.decomposition.factor_analysis.FactorAnalysis'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('FactorAnalysis', <class 'sklearn.decomposition.factor_analysis.FactorAnalysis'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('FactorAnalysis', <class 'sklearn.decomposition.factor_analysis.FactorAnalysis'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('FactorAnalysis', <class 'sklearn.decomposition.factor_analysis.FactorAnalysis'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('FastICA', <class 'sklearn.decomposition.fastica_.FastICA'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('FastICA', <class 'sklearn.decomposition.fastica_.FastICA'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('FastICA', <class 'sklearn.decomposition.fastica_.FastICA'>) ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/decomposition/fastica_.py:116: UserWarning: FastICA did not converge. Consider increasing tolerance or the maximum number of iterations.
warnings.warn('FastICA did not converge. Consider increasing '
ok
sklearn.tests.test_common.test_non_meta_estimators('FastICA', <class 'sklearn.decomposition.fastica_.FastICA'>) ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/decomposition/fastica_.py:116: UserWarning: FastICA did not converge. Consider increasing tolerance or the maximum number of iterations.
warnings.warn('FastICA did not converge. Consider increasing '
ok
sklearn.tests.test_common.test_non_meta_estimators('FastICA', <class 'sklearn.decomposition.fastica_.FastICA'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('FastICA', <class 'sklearn.decomposition.fastica_.FastICA'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('FastICA', <class 'sklearn.decomposition.fastica_.FastICA'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('FastICA', <class 'sklearn.decomposition.fastica_.FastICA'>) ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/decomposition/fastica_.py:116: UserWarning: FastICA did not converge. Consider increasing tolerance or the maximum number of iterations.
warnings.warn('FastICA did not converge. Consider increasing '
ok
sklearn.tests.test_common.test_non_meta_estimators('FastICA', <class 'sklearn.decomposition.fastica_.FastICA'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('FastICA', <class 'sklearn.decomposition.fastica_.FastICA'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('FastICA', <class 'sklearn.decomposition.fastica_.FastICA'>) ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/decomposition/fastica_.py:116: 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:116: UserWarning: FastICA did not converge. Consider increasing tolerance or the maximum number of iterations.
warnings.warn('FastICA did not converge. Consider increasing '
ok
sklearn.tests.test_common.test_non_meta_estimators('FastICA', <class 'sklearn.decomposition.fastica_.FastICA'>) ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/decomposition/fastica_.py:116: 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:116: 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:116: 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:116: UserWarning: FastICA did not converge. Consider increasing tolerance or the maximum number of iterations.
warnings.warn('FastICA did not converge. Consider increasing '
ok
sklearn.tests.test_common.test_non_meta_estimators('FastICA', <class 'sklearn.decomposition.fastica_.FastICA'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('FastICA', <class 'sklearn.decomposition.fastica_.FastICA'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('FastICA', <class 'sklearn.decomposition.fastica_.FastICA'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('FastICA', <class 'sklearn.decomposition.fastica_.FastICA'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('FastICA', <class 'sklearn.decomposition.fastica_.FastICA'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('FastICA', <class 'sklearn.decomposition.fastica_.FastICA'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('FeatureAgglomeration', <class 'sklearn.cluster.hierarchical.FeatureAgglomeration'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('FeatureAgglomeration', <class 'sklearn.cluster.hierarchical.FeatureAgglomeration'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('FeatureAgglomeration', <class 'sklearn.cluster.hierarchical.FeatureAgglomeration'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('FeatureAgglomeration', <class 'sklearn.cluster.hierarchical.FeatureAgglomeration'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('FeatureAgglomeration', <class 'sklearn.cluster.hierarchical.FeatureAgglomeration'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('FeatureAgglomeration', <class 'sklearn.cluster.hierarchical.FeatureAgglomeration'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('FeatureAgglomeration', <class 'sklearn.cluster.hierarchical.FeatureAgglomeration'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('FeatureAgglomeration', <class 'sklearn.cluster.hierarchical.FeatureAgglomeration'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('FeatureAgglomeration', <class 'sklearn.cluster.hierarchical.FeatureAgglomeration'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('FeatureAgglomeration', <class 'sklearn.cluster.hierarchical.FeatureAgglomeration'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('FeatureAgglomeration', <class 'sklearn.cluster.hierarchical.FeatureAgglomeration'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('FeatureAgglomeration', <class 'sklearn.cluster.hierarchical.FeatureAgglomeration'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('FeatureAgglomeration', <class 'sklearn.cluster.hierarchical.FeatureAgglomeration'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('FeatureAgglomeration', <class 'sklearn.cluster.hierarchical.FeatureAgglomeration'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('FeatureAgglomeration', <class 'sklearn.cluster.hierarchical.FeatureAgglomeration'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('FeatureAgglomeration', <class 'sklearn.cluster.hierarchical.FeatureAgglomeration'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('FeatureAgglomeration', <class 'sklearn.cluster.hierarchical.FeatureAgglomeration'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('FeatureAgglomeration', <class 'sklearn.cluster.hierarchical.FeatureAgglomeration'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('FeatureAgglomeration', <class 'sklearn.cluster.hierarchical.FeatureAgglomeration'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('FunctionTransformer', <class 'sklearn.preprocessing._function_transformer.FunctionTransformer'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('FunctionTransformer', <class 'sklearn.preprocessing._function_transformer.FunctionTransformer'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('FunctionTransformer', <class 'sklearn.preprocessing._function_transformer.FunctionTransformer'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('FunctionTransformer', <class 'sklearn.preprocessing._function_transformer.FunctionTransformer'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('FunctionTransformer', <class 'sklearn.preprocessing._function_transformer.FunctionTransformer'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('FunctionTransformer', <class 'sklearn.preprocessing._function_transformer.FunctionTransformer'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('FunctionTransformer', <class 'sklearn.preprocessing._function_transformer.FunctionTransformer'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('FunctionTransformer', <class 'sklearn.preprocessing._function_transformer.FunctionTransformer'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('FunctionTransformer', <class 'sklearn.preprocessing._function_transformer.FunctionTransformer'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('FunctionTransformer', <class 'sklearn.preprocessing._function_transformer.FunctionTransformer'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('FunctionTransformer', <class 'sklearn.preprocessing._function_transformer.FunctionTransformer'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('FunctionTransformer', <class 'sklearn.preprocessing._function_transformer.FunctionTransformer'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('FunctionTransformer', <class 'sklearn.preprocessing._function_transformer.FunctionTransformer'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('FunctionTransformer', <class 'sklearn.preprocessing._function_transformer.FunctionTransformer'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('FunctionTransformer', <class 'sklearn.preprocessing._function_transformer.FunctionTransformer'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('FunctionTransformer', <class 'sklearn.preprocessing._function_transformer.FunctionTransformer'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('GMM', <class 'sklearn.mixture.gmm.GMM'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('GMM', <class 'sklearn.mixture.gmm.GMM'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('GMM', <class 'sklearn.mixture.gmm.GMM'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('GMM', <class 'sklearn.mixture.gmm.GMM'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('GMM', <class 'sklearn.mixture.gmm.GMM'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('GMM', <class 'sklearn.mixture.gmm.GMM'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('GMM', <class 'sklearn.mixture.gmm.GMM'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('GMM', <class 'sklearn.mixture.gmm.GMM'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('GMM', <class 'sklearn.mixture.gmm.GMM'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('GMM', <class 'sklearn.mixture.gmm.GMM'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('GMM', <class 'sklearn.mixture.gmm.GMM'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('GMM', <class 'sklearn.mixture.gmm.GMM'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('GMM', <class 'sklearn.mixture.gmm.GMM'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('GMM', <class 'sklearn.mixture.gmm.GMM'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('GMM', <class 'sklearn.mixture.gmm.GMM'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('GaussianNB', <class 'sklearn.naive_bayes.GaussianNB'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('GaussianNB', <class 'sklearn.naive_bayes.GaussianNB'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('GaussianNB', <class 'sklearn.naive_bayes.GaussianNB'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('GaussianNB', <class 'sklearn.naive_bayes.GaussianNB'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('GaussianNB', <class 'sklearn.naive_bayes.GaussianNB'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('GaussianNB', <class 'sklearn.naive_bayes.GaussianNB'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('GaussianNB', <class 'sklearn.naive_bayes.GaussianNB'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('GaussianNB', <class 'sklearn.naive_bayes.GaussianNB'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('GaussianNB', <class 'sklearn.naive_bayes.GaussianNB'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('GaussianNB', <class 'sklearn.naive_bayes.GaussianNB'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('GaussianNB', <class 'sklearn.naive_bayes.GaussianNB'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('GaussianNB', <class 'sklearn.naive_bayes.GaussianNB'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('GaussianNB', <class 'sklearn.naive_bayes.GaussianNB'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('GaussianNB', <class 'sklearn.naive_bayes.GaussianNB'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('GaussianNB', <class 'sklearn.naive_bayes.GaussianNB'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('GaussianNB', <class 'sklearn.naive_bayes.GaussianNB'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('GaussianNB', <class 'sklearn.naive_bayes.GaussianNB'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('GaussianNB', <class 'sklearn.naive_bayes.GaussianNB'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('GaussianNB', <class 'sklearn.naive_bayes.GaussianNB'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('GaussianNB', <class 'sklearn.naive_bayes.GaussianNB'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('GaussianNB', <class 'sklearn.naive_bayes.GaussianNB'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('GaussianNB', <class 'sklearn.naive_bayes.GaussianNB'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('GaussianNB', <class 'sklearn.naive_bayes.GaussianNB'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('GaussianProcess', <class 'sklearn.gaussian_process.gaussian_process.GaussianProcess'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('GaussianProcess', <class 'sklearn.gaussian_process.gaussian_process.GaussianProcess'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('GaussianProcess', <class 'sklearn.gaussian_process.gaussian_process.GaussianProcess'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('GaussianProcess', <class 'sklearn.gaussian_process.gaussian_process.GaussianProcess'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('GaussianProcess', <class 'sklearn.gaussian_process.gaussian_process.GaussianProcess'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('GaussianProcess', <class 'sklearn.gaussian_process.gaussian_process.GaussianProcess'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('GaussianProcess', <class 'sklearn.gaussian_process.gaussian_process.GaussianProcess'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('GaussianProcess', <class 'sklearn.gaussian_process.gaussian_process.GaussianProcess'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('GaussianProcess', <class 'sklearn.gaussian_process.gaussian_process.GaussianProcess'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('GaussianProcess', <class 'sklearn.gaussian_process.gaussian_process.GaussianProcess'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('GaussianProcess', <class 'sklearn.gaussian_process.gaussian_process.GaussianProcess'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('GaussianProcess', <class 'sklearn.gaussian_process.gaussian_process.GaussianProcess'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('GaussianProcess', <class 'sklearn.gaussian_process.gaussian_process.GaussianProcess'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('GaussianProcess', <class 'sklearn.gaussian_process.gaussian_process.GaussianProcess'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('GaussianProcess', <class 'sklearn.gaussian_process.gaussian_process.GaussianProcess'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('GaussianProcess', <class 'sklearn.gaussian_process.gaussian_process.GaussianProcess'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('GaussianProcess', <class 'sklearn.gaussian_process.gaussian_process.GaussianProcess'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('GaussianProcess', <class 'sklearn.gaussian_process.gaussian_process.GaussianProcess'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('GaussianProcess', <class 'sklearn.gaussian_process.gaussian_process.GaussianProcess'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('GaussianProcess', <class 'sklearn.gaussian_process.gaussian_process.GaussianProcess'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('GaussianProcess', <class 'sklearn.gaussian_process.gaussian_process.GaussianProcess'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('GaussianRandomProjection', <class 'sklearn.random_projection.GaussianRandomProjection'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('GaussianRandomProjection', <class 'sklearn.random_projection.GaussianRandomProjection'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('GaussianRandomProjection', <class 'sklearn.random_projection.GaussianRandomProjection'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('GaussianRandomProjection', <class 'sklearn.random_projection.GaussianRandomProjection'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('GaussianRandomProjection', <class 'sklearn.random_projection.GaussianRandomProjection'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('GaussianRandomProjection', <class 'sklearn.random_projection.GaussianRandomProjection'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('GaussianRandomProjection', <class 'sklearn.random_projection.GaussianRandomProjection'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('GaussianRandomProjection', <class 'sklearn.random_projection.GaussianRandomProjection'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('GaussianRandomProjection', <class 'sklearn.random_projection.GaussianRandomProjection'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('GaussianRandomProjection', <class 'sklearn.random_projection.GaussianRandomProjection'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('GaussianRandomProjection', <class 'sklearn.random_projection.GaussianRandomProjection'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('GaussianRandomProjection', <class 'sklearn.random_projection.GaussianRandomProjection'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('GaussianRandomProjection', <class 'sklearn.random_projection.GaussianRandomProjection'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('GaussianRandomProjection', <class 'sklearn.random_projection.GaussianRandomProjection'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('GaussianRandomProjection', <class 'sklearn.random_projection.GaussianRandomProjection'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('GaussianRandomProjection', <class 'sklearn.random_projection.GaussianRandomProjection'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('GaussianRandomProjection', <class 'sklearn.random_projection.GaussianRandomProjection'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('GaussianRandomProjection', <class 'sklearn.random_projection.GaussianRandomProjection'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('GenericUnivariateSelect', <class 'sklearn.feature_selection.univariate_selection.GenericUnivariateSelect'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('GenericUnivariateSelect', <class 'sklearn.feature_selection.univariate_selection.GenericUnivariateSelect'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('GenericUnivariateSelect', <class 'sklearn.feature_selection.univariate_selection.GenericUnivariateSelect'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('GenericUnivariateSelect', <class 'sklearn.feature_selection.univariate_selection.GenericUnivariateSelect'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('GenericUnivariateSelect', <class 'sklearn.feature_selection.univariate_selection.GenericUnivariateSelect'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('GenericUnivariateSelect', <class 'sklearn.feature_selection.univariate_selection.GenericUnivariateSelect'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('GenericUnivariateSelect', <class 'sklearn.feature_selection.univariate_selection.GenericUnivariateSelect'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('GenericUnivariateSelect', <class 'sklearn.feature_selection.univariate_selection.GenericUnivariateSelect'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('GenericUnivariateSelect', <class 'sklearn.feature_selection.univariate_selection.GenericUnivariateSelect'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('GenericUnivariateSelect', <class 'sklearn.feature_selection.univariate_selection.GenericUnivariateSelect'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('GenericUnivariateSelect', <class 'sklearn.feature_selection.univariate_selection.GenericUnivariateSelect'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('GenericUnivariateSelect', <class 'sklearn.feature_selection.univariate_selection.GenericUnivariateSelect'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('GenericUnivariateSelect', <class 'sklearn.feature_selection.univariate_selection.GenericUnivariateSelect'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('GenericUnivariateSelect', <class 'sklearn.feature_selection.univariate_selection.GenericUnivariateSelect'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('GenericUnivariateSelect', <class 'sklearn.feature_selection.univariate_selection.GenericUnivariateSelect'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('GenericUnivariateSelect', <class 'sklearn.feature_selection.univariate_selection.GenericUnivariateSelect'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('GenericUnivariateSelect', <class 'sklearn.feature_selection.univariate_selection.GenericUnivariateSelect'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('GenericUnivariateSelect', <class 'sklearn.feature_selection.univariate_selection.GenericUnivariateSelect'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('GradientBoostingClassifier', <class 'sklearn.ensemble.gradient_boosting.GradientBoostingClassifier'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('GradientBoostingClassifier', <class 'sklearn.ensemble.gradient_boosting.GradientBoostingClassifier'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('GradientBoostingClassifier', <class 'sklearn.ensemble.gradient_boosting.GradientBoostingClassifier'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('GradientBoostingClassifier', <class 'sklearn.ensemble.gradient_boosting.GradientBoostingClassifier'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('GradientBoostingClassifier', <class 'sklearn.ensemble.gradient_boosting.GradientBoostingClassifier'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('GradientBoostingClassifier', <class 'sklearn.ensemble.gradient_boosting.GradientBoostingClassifier'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('GradientBoostingClassifier', <class 'sklearn.ensemble.gradient_boosting.GradientBoostingClassifier'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('GradientBoostingClassifier', <class 'sklearn.ensemble.gradient_boosting.GradientBoostingClassifier'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('GradientBoostingClassifier', <class 'sklearn.ensemble.gradient_boosting.GradientBoostingClassifier'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('GradientBoostingClassifier', <class 'sklearn.ensemble.gradient_boosting.GradientBoostingClassifier'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('GradientBoostingClassifier', <class 'sklearn.ensemble.gradient_boosting.GradientBoostingClassifier'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('GradientBoostingClassifier', <class 'sklearn.ensemble.gradient_boosting.GradientBoostingClassifier'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('GradientBoostingClassifier', <class 'sklearn.ensemble.gradient_boosting.GradientBoostingClassifier'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('GradientBoostingClassifier', <class 'sklearn.ensemble.gradient_boosting.GradientBoostingClassifier'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('GradientBoostingClassifier', <class 'sklearn.ensemble.gradient_boosting.GradientBoostingClassifier'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('GradientBoostingClassifier', <class 'sklearn.ensemble.gradient_boosting.GradientBoostingClassifier'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('GradientBoostingClassifier', <class 'sklearn.ensemble.gradient_boosting.GradientBoostingClassifier'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('GradientBoostingClassifier', <class 'sklearn.ensemble.gradient_boosting.GradientBoostingClassifier'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('GradientBoostingClassifier', <class 'sklearn.ensemble.gradient_boosting.GradientBoostingClassifier'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('GradientBoostingClassifier', <class 'sklearn.ensemble.gradient_boosting.GradientBoostingClassifier'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('GradientBoostingClassifier', <class 'sklearn.ensemble.gradient_boosting.GradientBoostingClassifier'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('GradientBoostingClassifier', <class 'sklearn.ensemble.gradient_boosting.GradientBoostingClassifier'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('GradientBoostingClassifier', <class 'sklearn.ensemble.gradient_boosting.GradientBoostingClassifier'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('GradientBoostingRegressor', <class 'sklearn.ensemble.gradient_boosting.GradientBoostingRegressor'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('GradientBoostingRegressor', <class 'sklearn.ensemble.gradient_boosting.GradientBoostingRegressor'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('GradientBoostingRegressor', <class 'sklearn.ensemble.gradient_boosting.GradientBoostingRegressor'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('GradientBoostingRegressor', <class 'sklearn.ensemble.gradient_boosting.GradientBoostingRegressor'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('GradientBoostingRegressor', <class 'sklearn.ensemble.gradient_boosting.GradientBoostingRegressor'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('GradientBoostingRegressor', <class 'sklearn.ensemble.gradient_boosting.GradientBoostingRegressor'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('GradientBoostingRegressor', <class 'sklearn.ensemble.gradient_boosting.GradientBoostingRegressor'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('GradientBoostingRegressor', <class 'sklearn.ensemble.gradient_boosting.GradientBoostingRegressor'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('GradientBoostingRegressor', <class 'sklearn.ensemble.gradient_boosting.GradientBoostingRegressor'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('GradientBoostingRegressor', <class 'sklearn.ensemble.gradient_boosting.GradientBoostingRegressor'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('GradientBoostingRegressor', <class 'sklearn.ensemble.gradient_boosting.GradientBoostingRegressor'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('GradientBoostingRegressor', <class 'sklearn.ensemble.gradient_boosting.GradientBoostingRegressor'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('GradientBoostingRegressor', <class 'sklearn.ensemble.gradient_boosting.GradientBoostingRegressor'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('GradientBoostingRegressor', <class 'sklearn.ensemble.gradient_boosting.GradientBoostingRegressor'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('GradientBoostingRegressor', <class 'sklearn.ensemble.gradient_boosting.GradientBoostingRegressor'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('GradientBoostingRegressor', <class 'sklearn.ensemble.gradient_boosting.GradientBoostingRegressor'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('GradientBoostingRegressor', <class 'sklearn.ensemble.gradient_boosting.GradientBoostingRegressor'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('GradientBoostingRegressor', <class 'sklearn.ensemble.gradient_boosting.GradientBoostingRegressor'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('GradientBoostingRegressor', <class 'sklearn.ensemble.gradient_boosting.GradientBoostingRegressor'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('GradientBoostingRegressor', <class 'sklearn.ensemble.gradient_boosting.GradientBoostingRegressor'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('GradientBoostingRegressor', <class 'sklearn.ensemble.gradient_boosting.GradientBoostingRegressor'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('GradientBoostingRegressor', <class 'sklearn.ensemble.gradient_boosting.GradientBoostingRegressor'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('GraphLasso', <class 'sklearn.covariance.graph_lasso_.GraphLasso'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('GraphLasso', <class 'sklearn.covariance.graph_lasso_.GraphLasso'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('GraphLasso', <class 'sklearn.covariance.graph_lasso_.GraphLasso'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('GraphLasso', <class 'sklearn.covariance.graph_lasso_.GraphLasso'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('GraphLasso', <class 'sklearn.covariance.graph_lasso_.GraphLasso'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('GraphLasso', <class 'sklearn.covariance.graph_lasso_.GraphLasso'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('GraphLasso', <class 'sklearn.covariance.graph_lasso_.GraphLasso'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('GraphLasso', <class 'sklearn.covariance.graph_lasso_.GraphLasso'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('GraphLasso', <class 'sklearn.covariance.graph_lasso_.GraphLasso'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('GraphLasso', <class 'sklearn.covariance.graph_lasso_.GraphLasso'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('GraphLasso', <class 'sklearn.covariance.graph_lasso_.GraphLasso'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('GraphLasso', <class 'sklearn.covariance.graph_lasso_.GraphLasso'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('GraphLasso', <class 'sklearn.covariance.graph_lasso_.GraphLasso'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('GraphLasso', <class 'sklearn.covariance.graph_lasso_.GraphLasso'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('GraphLasso', <class 'sklearn.covariance.graph_lasso_.GraphLasso'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('GraphLassoCV', <class 'sklearn.covariance.graph_lasso_.GraphLassoCV'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('GraphLassoCV', <class 'sklearn.covariance.graph_lasso_.GraphLassoCV'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('GraphLassoCV', <class 'sklearn.covariance.graph_lasso_.GraphLassoCV'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('GraphLassoCV', <class 'sklearn.covariance.graph_lasso_.GraphLassoCV'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('GraphLassoCV', <class 'sklearn.covariance.graph_lasso_.GraphLassoCV'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('GraphLassoCV', <class 'sklearn.covariance.graph_lasso_.GraphLassoCV'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('GraphLassoCV', <class 'sklearn.covariance.graph_lasso_.GraphLassoCV'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('GraphLassoCV', <class 'sklearn.covariance.graph_lasso_.GraphLassoCV'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('GraphLassoCV', <class 'sklearn.covariance.graph_lasso_.GraphLassoCV'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('GraphLassoCV', <class 'sklearn.covariance.graph_lasso_.GraphLassoCV'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('GraphLassoCV', <class 'sklearn.covariance.graph_lasso_.GraphLassoCV'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('GraphLassoCV', <class 'sklearn.covariance.graph_lasso_.GraphLassoCV'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('GraphLassoCV', <class 'sklearn.covariance.graph_lasso_.GraphLassoCV'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('GraphLassoCV', <class 'sklearn.covariance.graph_lasso_.GraphLassoCV'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('GraphLassoCV', <class 'sklearn.covariance.graph_lasso_.GraphLassoCV'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('Imputer', <class 'sklearn.preprocessing.imputation.Imputer'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('Imputer', <class 'sklearn.preprocessing.imputation.Imputer'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('Imputer', <class 'sklearn.preprocessing.imputation.Imputer'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('Imputer', <class 'sklearn.preprocessing.imputation.Imputer'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('Imputer', <class 'sklearn.preprocessing.imputation.Imputer'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('Imputer', <class 'sklearn.preprocessing.imputation.Imputer'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('Imputer', <class 'sklearn.preprocessing.imputation.Imputer'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('Imputer', <class 'sklearn.preprocessing.imputation.Imputer'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('Imputer', <class 'sklearn.preprocessing.imputation.Imputer'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('Imputer', <class 'sklearn.preprocessing.imputation.Imputer'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('Imputer', <class 'sklearn.preprocessing.imputation.Imputer'>) ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/preprocessing/imputation.py:344: VisibleDeprecationWarning: boolean index did not match indexed array along dimension 0; dimension is 30 but corresponding boolean dimension is 3
missing = np.arange(X.shape[not self.axis])[invalid_mask]
ok
sklearn.tests.test_common.test_non_meta_estimators('Imputer', <class 'sklearn.preprocessing.imputation.Imputer'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('Imputer', <class 'sklearn.preprocessing.imputation.Imputer'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('Imputer', <class 'sklearn.preprocessing.imputation.Imputer'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('Imputer', <class 'sklearn.preprocessing.imputation.Imputer'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('Imputer', <class 'sklearn.preprocessing.imputation.Imputer'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('Imputer', <class 'sklearn.preprocessing.imputation.Imputer'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('IncrementalPCA', <class 'sklearn.decomposition.incremental_pca.IncrementalPCA'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('IncrementalPCA', <class 'sklearn.decomposition.incremental_pca.IncrementalPCA'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('IncrementalPCA', <class 'sklearn.decomposition.incremental_pca.IncrementalPCA'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('IncrementalPCA', <class 'sklearn.decomposition.incremental_pca.IncrementalPCA'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('IncrementalPCA', <class 'sklearn.decomposition.incremental_pca.IncrementalPCA'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('IncrementalPCA', <class 'sklearn.decomposition.incremental_pca.IncrementalPCA'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('IncrementalPCA', <class 'sklearn.decomposition.incremental_pca.IncrementalPCA'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('IncrementalPCA', <class 'sklearn.decomposition.incremental_pca.IncrementalPCA'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('IncrementalPCA', <class 'sklearn.decomposition.incremental_pca.IncrementalPCA'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('IncrementalPCA', <class 'sklearn.decomposition.incremental_pca.IncrementalPCA'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('IncrementalPCA', <class 'sklearn.decomposition.incremental_pca.IncrementalPCA'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('IncrementalPCA', <class 'sklearn.decomposition.incremental_pca.IncrementalPCA'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('IncrementalPCA', <class 'sklearn.decomposition.incremental_pca.IncrementalPCA'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('IncrementalPCA', <class 'sklearn.decomposition.incremental_pca.IncrementalPCA'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('IncrementalPCA', <class 'sklearn.decomposition.incremental_pca.IncrementalPCA'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('IncrementalPCA', <class 'sklearn.decomposition.incremental_pca.IncrementalPCA'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('IncrementalPCA', <class 'sklearn.decomposition.incremental_pca.IncrementalPCA'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('IncrementalPCA', <class 'sklearn.decomposition.incremental_pca.IncrementalPCA'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('Isomap', <class 'sklearn.manifold.isomap.Isomap'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('Isomap', <class 'sklearn.manifold.isomap.Isomap'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('Isomap', <class 'sklearn.manifold.isomap.Isomap'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('Isomap', <class 'sklearn.manifold.isomap.Isomap'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('Isomap', <class 'sklearn.manifold.isomap.Isomap'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('Isomap', <class 'sklearn.manifold.isomap.Isomap'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('Isomap', <class 'sklearn.manifold.isomap.Isomap'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('Isomap', <class 'sklearn.manifold.isomap.Isomap'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('Isomap', <class 'sklearn.manifold.isomap.Isomap'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('Isomap', <class 'sklearn.manifold.isomap.Isomap'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('Isomap', <class 'sklearn.manifold.isomap.Isomap'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('Isomap', <class 'sklearn.manifold.isomap.Isomap'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('Isomap', <class 'sklearn.manifold.isomap.Isomap'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('Isomap', <class 'sklearn.manifold.isomap.Isomap'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('Isomap', <class 'sklearn.manifold.isomap.Isomap'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('Isomap', <class 'sklearn.manifold.isomap.Isomap'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('Isomap', <class 'sklearn.manifold.isomap.Isomap'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('Isomap', <class 'sklearn.manifold.isomap.Isomap'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('KMeans', <class 'sklearn.cluster.k_means_.KMeans'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('KMeans', <class 'sklearn.cluster.k_means_.KMeans'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('KMeans', <class 'sklearn.cluster.k_means_.KMeans'>) ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/validation.py:420: DataConversionWarning: Data with input dtype object was converted to float64.
warnings.warn(msg, DataConversionWarning)
ok
sklearn.tests.test_common.test_non_meta_estimators('KMeans', <class 'sklearn.cluster.k_means_.KMeans'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('KMeans', <class 'sklearn.cluster.k_means_.KMeans'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('KMeans', <class 'sklearn.cluster.k_means_.KMeans'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('KMeans', <class 'sklearn.cluster.k_means_.KMeans'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('KMeans', <class 'sklearn.cluster.k_means_.KMeans'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('KMeans', <class 'sklearn.cluster.k_means_.KMeans'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('KMeans', <class 'sklearn.cluster.k_means_.KMeans'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('KMeans', <class 'sklearn.cluster.k_means_.KMeans'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('KMeans', <class 'sklearn.cluster.k_means_.KMeans'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('KMeans', <class 'sklearn.cluster.k_means_.KMeans'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('KMeans', <class 'sklearn.cluster.k_means_.KMeans'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('KMeans', <class 'sklearn.cluster.k_means_.KMeans'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('KMeans', <class 'sklearn.cluster.k_means_.KMeans'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('KMeans', <class 'sklearn.cluster.k_means_.KMeans'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('KMeans', <class 'sklearn.cluster.k_means_.KMeans'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('KMeans', <class 'sklearn.cluster.k_means_.KMeans'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('KMeans', <class 'sklearn.cluster.k_means_.KMeans'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('KMeans', <class 'sklearn.cluster.k_means_.KMeans'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('KNeighborsClassifier', <class 'sklearn.neighbors.classification.KNeighborsClassifier'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('KNeighborsClassifier', <class 'sklearn.neighbors.classification.KNeighborsClassifier'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('KNeighborsClassifier', <class 'sklearn.neighbors.classification.KNeighborsClassifier'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('KNeighborsClassifier', <class 'sklearn.neighbors.classification.KNeighborsClassifier'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('KNeighborsClassifier', <class 'sklearn.neighbors.classification.KNeighborsClassifier'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('KNeighborsClassifier', <class 'sklearn.neighbors.classification.KNeighborsClassifier'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('KNeighborsClassifier', <class 'sklearn.neighbors.classification.KNeighborsClassifier'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('KNeighborsClassifier', <class 'sklearn.neighbors.classification.KNeighborsClassifier'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('KNeighborsClassifier', <class 'sklearn.neighbors.classification.KNeighborsClassifier'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('KNeighborsClassifier', <class 'sklearn.neighbors.classification.KNeighborsClassifier'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('KNeighborsClassifier', <class 'sklearn.neighbors.classification.KNeighborsClassifier'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('KNeighborsClassifier', <class 'sklearn.neighbors.classification.KNeighborsClassifier'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('KNeighborsClassifier', <class 'sklearn.neighbors.classification.KNeighborsClassifier'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('KNeighborsClassifier', <class 'sklearn.neighbors.classification.KNeighborsClassifier'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('KNeighborsClassifier', <class 'sklearn.neighbors.classification.KNeighborsClassifier'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('KNeighborsClassifier', <class 'sklearn.neighbors.classification.KNeighborsClassifier'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('KNeighborsClassifier', <class 'sklearn.neighbors.classification.KNeighborsClassifier'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('KNeighborsClassifier', <class 'sklearn.neighbors.classification.KNeighborsClassifier'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('KNeighborsClassifier', <class 'sklearn.neighbors.classification.KNeighborsClassifier'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('KNeighborsClassifier', <class 'sklearn.neighbors.classification.KNeighborsClassifier'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('KNeighborsClassifier', <class 'sklearn.neighbors.classification.KNeighborsClassifier'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('KNeighborsClassifier', <class 'sklearn.neighbors.classification.KNeighborsClassifier'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('KNeighborsClassifier', <class 'sklearn.neighbors.classification.KNeighborsClassifier'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('KNeighborsRegressor', <class 'sklearn.neighbors.regression.KNeighborsRegressor'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('KNeighborsRegressor', <class 'sklearn.neighbors.regression.KNeighborsRegressor'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('KNeighborsRegressor', <class 'sklearn.neighbors.regression.KNeighborsRegressor'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('KNeighborsRegressor', <class 'sklearn.neighbors.regression.KNeighborsRegressor'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('KNeighborsRegressor', <class 'sklearn.neighbors.regression.KNeighborsRegressor'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('KNeighborsRegressor', <class 'sklearn.neighbors.regression.KNeighborsRegressor'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('KNeighborsRegressor', <class 'sklearn.neighbors.regression.KNeighborsRegressor'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('KNeighborsRegressor', <class 'sklearn.neighbors.regression.KNeighborsRegressor'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('KNeighborsRegressor', <class 'sklearn.neighbors.regression.KNeighborsRegressor'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('KNeighborsRegressor', <class 'sklearn.neighbors.regression.KNeighborsRegressor'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('KNeighborsRegressor', <class 'sklearn.neighbors.regression.KNeighborsRegressor'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('KNeighborsRegressor', <class 'sklearn.neighbors.regression.KNeighborsRegressor'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('KNeighborsRegressor', <class 'sklearn.neighbors.regression.KNeighborsRegressor'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('KNeighborsRegressor', <class 'sklearn.neighbors.regression.KNeighborsRegressor'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('KNeighborsRegressor', <class 'sklearn.neighbors.regression.KNeighborsRegressor'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('KNeighborsRegressor', <class 'sklearn.neighbors.regression.KNeighborsRegressor'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('KNeighborsRegressor', <class 'sklearn.neighbors.regression.KNeighborsRegressor'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('KNeighborsRegressor', <class 'sklearn.neighbors.regression.KNeighborsRegressor'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('KNeighborsRegressor', <class 'sklearn.neighbors.regression.KNeighborsRegressor'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('KNeighborsRegressor', <class 'sklearn.neighbors.regression.KNeighborsRegressor'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('KNeighborsRegressor', <class 'sklearn.neighbors.regression.KNeighborsRegressor'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('KNeighborsRegressor', <class 'sklearn.neighbors.regression.KNeighborsRegressor'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('KernelCenterer', <class 'sklearn.preprocessing.data.KernelCenterer'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('KernelCenterer', <class 'sklearn.preprocessing.data.KernelCenterer'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('KernelCenterer', <class 'sklearn.preprocessing.data.KernelCenterer'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('KernelCenterer', <class 'sklearn.preprocessing.data.KernelCenterer'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('KernelCenterer', <class 'sklearn.preprocessing.data.KernelCenterer'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('KernelCenterer', <class 'sklearn.preprocessing.data.KernelCenterer'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('KernelCenterer', <class 'sklearn.preprocessing.data.KernelCenterer'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('KernelCenterer', <class 'sklearn.preprocessing.data.KernelCenterer'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('KernelCenterer', <class 'sklearn.preprocessing.data.KernelCenterer'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('KernelCenterer', <class 'sklearn.preprocessing.data.KernelCenterer'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('KernelCenterer', <class 'sklearn.preprocessing.data.KernelCenterer'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('KernelCenterer', <class 'sklearn.preprocessing.data.KernelCenterer'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('KernelCenterer', <class 'sklearn.preprocessing.data.KernelCenterer'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('KernelCenterer', <class 'sklearn.preprocessing.data.KernelCenterer'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('KernelCenterer', <class 'sklearn.preprocessing.data.KernelCenterer'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('KernelCenterer', <class 'sklearn.preprocessing.data.KernelCenterer'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('KernelCenterer', <class 'sklearn.preprocessing.data.KernelCenterer'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('KernelCenterer', <class 'sklearn.preprocessing.data.KernelCenterer'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('KernelDensity', <class 'sklearn.neighbors.kde.KernelDensity'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('KernelDensity', <class 'sklearn.neighbors.kde.KernelDensity'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('KernelDensity', <class 'sklearn.neighbors.kde.KernelDensity'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('KernelDensity', <class 'sklearn.neighbors.kde.KernelDensity'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('KernelDensity', <class 'sklearn.neighbors.kde.KernelDensity'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('KernelDensity', <class 'sklearn.neighbors.kde.KernelDensity'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('KernelDensity', <class 'sklearn.neighbors.kde.KernelDensity'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('KernelDensity', <class 'sklearn.neighbors.kde.KernelDensity'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('KernelDensity', <class 'sklearn.neighbors.kde.KernelDensity'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('KernelDensity', <class 'sklearn.neighbors.kde.KernelDensity'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('KernelDensity', <class 'sklearn.neighbors.kde.KernelDensity'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('KernelDensity', <class 'sklearn.neighbors.kde.KernelDensity'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('KernelDensity', <class 'sklearn.neighbors.kde.KernelDensity'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('KernelDensity', <class 'sklearn.neighbors.kde.KernelDensity'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('KernelDensity', <class 'sklearn.neighbors.kde.KernelDensity'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('KernelPCA', <class 'sklearn.decomposition.kernel_pca.KernelPCA'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('KernelPCA', <class 'sklearn.decomposition.kernel_pca.KernelPCA'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('KernelPCA', <class 'sklearn.decomposition.kernel_pca.KernelPCA'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('KernelPCA', <class 'sklearn.decomposition.kernel_pca.KernelPCA'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('KernelPCA', <class 'sklearn.decomposition.kernel_pca.KernelPCA'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('KernelPCA', <class 'sklearn.decomposition.kernel_pca.KernelPCA'>) ... SKIP: KernelPCA is non deterministic on 32bit Python
sklearn.tests.test_common.test_non_meta_estimators('KernelPCA', <class 'sklearn.decomposition.kernel_pca.KernelPCA'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('KernelPCA', <class 'sklearn.decomposition.kernel_pca.KernelPCA'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('KernelPCA', <class 'sklearn.decomposition.kernel_pca.KernelPCA'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('KernelPCA', <class 'sklearn.decomposition.kernel_pca.KernelPCA'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('KernelPCA', <class 'sklearn.decomposition.kernel_pca.KernelPCA'>) ... SKIP: KernelPCA is non deterministic on 32bit Python
sklearn.tests.test_common.test_non_meta_estimators('KernelPCA', <class 'sklearn.decomposition.kernel_pca.KernelPCA'>) ... SKIP: KernelPCA is non deterministic on 32bit Python
sklearn.tests.test_common.test_non_meta_estimators('KernelPCA', <class 'sklearn.decomposition.kernel_pca.KernelPCA'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('KernelPCA', <class 'sklearn.decomposition.kernel_pca.KernelPCA'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('KernelPCA', <class 'sklearn.decomposition.kernel_pca.KernelPCA'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('KernelPCA', <class 'sklearn.decomposition.kernel_pca.KernelPCA'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('KernelPCA', <class 'sklearn.decomposition.kernel_pca.KernelPCA'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('KernelPCA', <class 'sklearn.decomposition.kernel_pca.KernelPCA'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('KernelRidge', <class 'sklearn.kernel_ridge.KernelRidge'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('KernelRidge', <class 'sklearn.kernel_ridge.KernelRidge'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('KernelRidge', <class 'sklearn.kernel_ridge.KernelRidge'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('KernelRidge', <class 'sklearn.kernel_ridge.KernelRidge'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('KernelRidge', <class 'sklearn.kernel_ridge.KernelRidge'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('KernelRidge', <class 'sklearn.kernel_ridge.KernelRidge'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('KernelRidge', <class 'sklearn.kernel_ridge.KernelRidge'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('KernelRidge', <class 'sklearn.kernel_ridge.KernelRidge'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('KernelRidge', <class 'sklearn.kernel_ridge.KernelRidge'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('KernelRidge', <class 'sklearn.kernel_ridge.KernelRidge'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('KernelRidge', <class 'sklearn.kernel_ridge.KernelRidge'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('KernelRidge', <class 'sklearn.kernel_ridge.KernelRidge'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('KernelRidge', <class 'sklearn.kernel_ridge.KernelRidge'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('KernelRidge', <class 'sklearn.kernel_ridge.KernelRidge'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('KernelRidge', <class 'sklearn.kernel_ridge.KernelRidge'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('KernelRidge', <class 'sklearn.kernel_ridge.KernelRidge'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('KernelRidge', <class 'sklearn.kernel_ridge.KernelRidge'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('KernelRidge', <class 'sklearn.kernel_ridge.KernelRidge'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('KernelRidge', <class 'sklearn.kernel_ridge.KernelRidge'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('KernelRidge', <class 'sklearn.kernel_ridge.KernelRidge'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('KernelRidge', <class 'sklearn.kernel_ridge.KernelRidge'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('KernelRidge', <class 'sklearn.kernel_ridge.KernelRidge'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('LDA', <class 'sklearn.discriminant_analysis.LinearDiscriminantAnalysis'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('LDA', <class 'sklearn.discriminant_analysis.LinearDiscriminantAnalysis'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('LDA', <class 'sklearn.discriminant_analysis.LinearDiscriminantAnalysis'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('LDA', <class 'sklearn.discriminant_analysis.LinearDiscriminantAnalysis'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('LDA', <class 'sklearn.discriminant_analysis.LinearDiscriminantAnalysis'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('LDA', <class 'sklearn.discriminant_analysis.LinearDiscriminantAnalysis'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('LDA', <class 'sklearn.discriminant_analysis.LinearDiscriminantAnalysis'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('LDA', <class 'sklearn.discriminant_analysis.LinearDiscriminantAnalysis'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('LDA', <class 'sklearn.discriminant_analysis.LinearDiscriminantAnalysis'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('LDA', <class 'sklearn.discriminant_analysis.LinearDiscriminantAnalysis'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('LDA', <class 'sklearn.discriminant_analysis.LinearDiscriminantAnalysis'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('LDA', <class 'sklearn.discriminant_analysis.LinearDiscriminantAnalysis'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('LDA', <class 'sklearn.discriminant_analysis.LinearDiscriminantAnalysis'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('LDA', <class 'sklearn.discriminant_analysis.LinearDiscriminantAnalysis'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('LDA', <class 'sklearn.discriminant_analysis.LinearDiscriminantAnalysis'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('LDA', <class 'sklearn.discriminant_analysis.LinearDiscriminantAnalysis'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('LDA', <class 'sklearn.discriminant_analysis.LinearDiscriminantAnalysis'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('LDA', <class 'sklearn.discriminant_analysis.LinearDiscriminantAnalysis'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('LDA', <class 'sklearn.discriminant_analysis.LinearDiscriminantAnalysis'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('LDA', <class 'sklearn.discriminant_analysis.LinearDiscriminantAnalysis'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('LDA', <class 'sklearn.discriminant_analysis.LinearDiscriminantAnalysis'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('LDA', <class 'sklearn.discriminant_analysis.LinearDiscriminantAnalysis'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('LDA', <class 'sklearn.discriminant_analysis.LinearDiscriminantAnalysis'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('LDA', <class 'sklearn.discriminant_analysis.LinearDiscriminantAnalysis'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('LDA', <class 'sklearn.discriminant_analysis.LinearDiscriminantAnalysis'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('LDA', <class 'sklearn.discriminant_analysis.LinearDiscriminantAnalysis'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('LSHForest', <class 'sklearn.neighbors.approximate.LSHForest'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('LSHForest', <class 'sklearn.neighbors.approximate.LSHForest'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('LSHForest', <class 'sklearn.neighbors.approximate.LSHForest'>) ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/random_projection.py:375: 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
sklearn.tests.test_common.test_non_meta_estimators('LSHForest', <class 'sklearn.neighbors.approximate.LSHForest'>) ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/random_projection.py:375: 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
sklearn.tests.test_common.test_non_meta_estimators('LSHForest', <class 'sklearn.neighbors.approximate.LSHForest'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('LSHForest', <class 'sklearn.neighbors.approximate.LSHForest'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('LSHForest', <class 'sklearn.neighbors.approximate.LSHForest'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('LSHForest', <class 'sklearn.neighbors.approximate.LSHForest'>) ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/random_projection.py:375: 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.tests.test_common.test_non_meta_estimators('LSHForest', <class 'sklearn.neighbors.approximate.LSHForest'>) ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/random_projection.py:375: 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:375: 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:375: 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:375: 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:375: 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:375: 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:375: 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
sklearn.tests.test_common.test_non_meta_estimators('LSHForest', <class 'sklearn.neighbors.approximate.LSHForest'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('LSHForest', <class 'sklearn.neighbors.approximate.LSHForest'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('LSHForest', <class 'sklearn.neighbors.approximate.LSHForest'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('LSHForest', <class 'sklearn.neighbors.approximate.LSHForest'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('LSHForest', <class 'sklearn.neighbors.approximate.LSHForest'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('LSHForest', <class 'sklearn.neighbors.approximate.LSHForest'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('LabelPropagation', <class 'sklearn.semi_supervised.label_propagation.LabelPropagation'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('LabelPropagation', <class 'sklearn.semi_supervised.label_propagation.LabelPropagation'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('LabelPropagation', <class 'sklearn.semi_supervised.label_propagation.LabelPropagation'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('LabelPropagation', <class 'sklearn.semi_supervised.label_propagation.LabelPropagation'>) ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/metrics/pairwise.py:811: RuntimeWarning: underflow encountered in exp
np.exp(K, K) # exponentiate K in-place
ok
sklearn.tests.test_common.test_non_meta_estimators('LabelPropagation', <class 'sklearn.semi_supervised.label_propagation.LabelPropagation'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('LabelPropagation', <class 'sklearn.semi_supervised.label_propagation.LabelPropagation'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('LabelPropagation', <class 'sklearn.semi_supervised.label_propagation.LabelPropagation'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('LabelPropagation', <class 'sklearn.semi_supervised.label_propagation.LabelPropagation'>) ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/metrics/pairwise.py:811: 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:349: RuntimeWarning: underflow encountered in true_divide
affinity_matrix /= normalizer[:, np.newaxis]
ok
sklearn.tests.test_common.test_non_meta_estimators('LabelPropagation', <class 'sklearn.semi_supervised.label_propagation.LabelPropagation'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('LabelPropagation', <class 'sklearn.semi_supervised.label_propagation.LabelPropagation'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('LabelPropagation', <class 'sklearn.semi_supervised.label_propagation.LabelPropagation'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('LabelPropagation', <class 'sklearn.semi_supervised.label_propagation.LabelPropagation'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('LabelPropagation', <class 'sklearn.semi_supervised.label_propagation.LabelPropagation'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('LabelPropagation', <class 'sklearn.semi_supervised.label_propagation.LabelPropagation'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('LabelPropagation', <class 'sklearn.semi_supervised.label_propagation.LabelPropagation'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('LabelPropagation', <class 'sklearn.semi_supervised.label_propagation.LabelPropagation'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('LabelPropagation', <class 'sklearn.semi_supervised.label_propagation.LabelPropagation'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('LabelPropagation', <class 'sklearn.semi_supervised.label_propagation.LabelPropagation'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('LabelPropagation', <class 'sklearn.semi_supervised.label_propagation.LabelPropagation'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('LabelPropagation', <class 'sklearn.semi_supervised.label_propagation.LabelPropagation'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('LabelPropagation', <class 'sklearn.semi_supervised.label_propagation.LabelPropagation'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('LabelPropagation', <class 'sklearn.semi_supervised.label_propagation.LabelPropagation'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('LabelSpreading', <class 'sklearn.semi_supervised.label_propagation.LabelSpreading'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('LabelSpreading', <class 'sklearn.semi_supervised.label_propagation.LabelSpreading'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('LabelSpreading', <class 'sklearn.semi_supervised.label_propagation.LabelSpreading'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('LabelSpreading', <class 'sklearn.semi_supervised.label_propagation.LabelSpreading'>) ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/metrics/pairwise.py:811: RuntimeWarning: underflow encountered in exp
np.exp(K, K) # exponentiate K in-place
ok
sklearn.tests.test_common.test_non_meta_estimators('LabelSpreading', <class 'sklearn.semi_supervised.label_propagation.LabelSpreading'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('LabelSpreading', <class 'sklearn.semi_supervised.label_propagation.LabelSpreading'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('LabelSpreading', <class 'sklearn.semi_supervised.label_propagation.LabelSpreading'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('LabelSpreading', <class 'sklearn.semi_supervised.label_propagation.LabelSpreading'>) ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/metrics/pairwise.py:811: RuntimeWarning: underflow encountered in exp
np.exp(K, K) # exponentiate K in-place
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/graph.py:175: RuntimeWarning: underflow encountered in true_divide
lap /= w
ok
sklearn.tests.test_common.test_non_meta_estimators('LabelSpreading', <class 'sklearn.semi_supervised.label_propagation.LabelSpreading'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('LabelSpreading', <class 'sklearn.semi_supervised.label_propagation.LabelSpreading'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('LabelSpreading', <class 'sklearn.semi_supervised.label_propagation.LabelSpreading'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('LabelSpreading', <class 'sklearn.semi_supervised.label_propagation.LabelSpreading'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('LabelSpreading', <class 'sklearn.semi_supervised.label_propagation.LabelSpreading'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('LabelSpreading', <class 'sklearn.semi_supervised.label_propagation.LabelSpreading'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('LabelSpreading', <class 'sklearn.semi_supervised.label_propagation.LabelSpreading'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('LabelSpreading', <class 'sklearn.semi_supervised.label_propagation.LabelSpreading'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('LabelSpreading', <class 'sklearn.semi_supervised.label_propagation.LabelSpreading'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('LabelSpreading', <class 'sklearn.semi_supervised.label_propagation.LabelSpreading'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('LabelSpreading', <class 'sklearn.semi_supervised.label_propagation.LabelSpreading'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('LabelSpreading', <class 'sklearn.semi_supervised.label_propagation.LabelSpreading'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('LabelSpreading', <class 'sklearn.semi_supervised.label_propagation.LabelSpreading'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('LabelSpreading', <class 'sklearn.semi_supervised.label_propagation.LabelSpreading'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('Lars', <class 'sklearn.linear_model.least_angle.Lars'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('Lars', <class 'sklearn.linear_model.least_angle.Lars'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('Lars', <class 'sklearn.linear_model.least_angle.Lars'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('Lars', <class 'sklearn.linear_model.least_angle.Lars'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('Lars', <class 'sklearn.linear_model.least_angle.Lars'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('Lars', <class 'sklearn.linear_model.least_angle.Lars'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('Lars', <class 'sklearn.linear_model.least_angle.Lars'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('Lars', <class 'sklearn.linear_model.least_angle.Lars'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('Lars', <class 'sklearn.linear_model.least_angle.Lars'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('Lars', <class 'sklearn.linear_model.least_angle.Lars'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('Lars', <class 'sklearn.linear_model.least_angle.Lars'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('Lars', <class 'sklearn.linear_model.least_angle.Lars'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('Lars', <class 'sklearn.linear_model.least_angle.Lars'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('Lars', <class 'sklearn.linear_model.least_angle.Lars'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('Lars', <class 'sklearn.linear_model.least_angle.Lars'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('Lars', <class 'sklearn.linear_model.least_angle.Lars'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('Lars', <class 'sklearn.linear_model.least_angle.Lars'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('Lars', <class 'sklearn.linear_model.least_angle.Lars'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('Lars', <class 'sklearn.linear_model.least_angle.Lars'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('Lars', <class 'sklearn.linear_model.least_angle.Lars'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('Lars', <class 'sklearn.linear_model.least_angle.Lars'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('Lars', <class 'sklearn.linear_model.least_angle.Lars'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('LarsCV', <class 'sklearn.linear_model.least_angle.LarsCV'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('LarsCV', <class 'sklearn.linear_model.least_angle.LarsCV'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('LarsCV', <class 'sklearn.linear_model.least_angle.LarsCV'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('LarsCV', <class 'sklearn.linear_model.least_angle.LarsCV'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('LarsCV', <class 'sklearn.linear_model.least_angle.LarsCV'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('LarsCV', <class 'sklearn.linear_model.least_angle.LarsCV'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('LarsCV', <class 'sklearn.linear_model.least_angle.LarsCV'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('LarsCV', <class 'sklearn.linear_model.least_angle.LarsCV'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('LarsCV', <class 'sklearn.linear_model.least_angle.LarsCV'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('LarsCV', <class 'sklearn.linear_model.least_angle.LarsCV'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('LarsCV', <class 'sklearn.linear_model.least_angle.LarsCV'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('LarsCV', <class 'sklearn.linear_model.least_angle.LarsCV'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('LarsCV', <class 'sklearn.linear_model.least_angle.LarsCV'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('LarsCV', <class 'sklearn.linear_model.least_angle.LarsCV'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('LarsCV', <class 'sklearn.linear_model.least_angle.LarsCV'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('LarsCV', <class 'sklearn.linear_model.least_angle.LarsCV'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('LarsCV', <class 'sklearn.linear_model.least_angle.LarsCV'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('LarsCV', <class 'sklearn.linear_model.least_angle.LarsCV'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('LarsCV', <class 'sklearn.linear_model.least_angle.LarsCV'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('LarsCV', <class 'sklearn.linear_model.least_angle.LarsCV'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('LarsCV', <class 'sklearn.linear_model.least_angle.LarsCV'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('LarsCV', <class 'sklearn.linear_model.least_angle.LarsCV'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('Lasso', <class 'sklearn.linear_model.coordinate_descent.Lasso'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('Lasso', <class 'sklearn.linear_model.coordinate_descent.Lasso'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('Lasso', <class 'sklearn.linear_model.coordinate_descent.Lasso'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('Lasso', <class 'sklearn.linear_model.coordinate_descent.Lasso'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('Lasso', <class 'sklearn.linear_model.coordinate_descent.Lasso'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('Lasso', <class 'sklearn.linear_model.coordinate_descent.Lasso'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('Lasso', <class 'sklearn.linear_model.coordinate_descent.Lasso'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('Lasso', <class 'sklearn.linear_model.coordinate_descent.Lasso'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('Lasso', <class 'sklearn.linear_model.coordinate_descent.Lasso'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('Lasso', <class 'sklearn.linear_model.coordinate_descent.Lasso'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('Lasso', <class 'sklearn.linear_model.coordinate_descent.Lasso'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('Lasso', <class 'sklearn.linear_model.coordinate_descent.Lasso'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('Lasso', <class 'sklearn.linear_model.coordinate_descent.Lasso'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('Lasso', <class 'sklearn.linear_model.coordinate_descent.Lasso'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('Lasso', <class 'sklearn.linear_model.coordinate_descent.Lasso'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('Lasso', <class 'sklearn.linear_model.coordinate_descent.Lasso'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('Lasso', <class 'sklearn.linear_model.coordinate_descent.Lasso'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('Lasso', <class 'sklearn.linear_model.coordinate_descent.Lasso'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('Lasso', <class 'sklearn.linear_model.coordinate_descent.Lasso'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('Lasso', <class 'sklearn.linear_model.coordinate_descent.Lasso'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('Lasso', <class 'sklearn.linear_model.coordinate_descent.Lasso'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('Lasso', <class 'sklearn.linear_model.coordinate_descent.Lasso'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('LassoCV', <class 'sklearn.linear_model.coordinate_descent.LassoCV'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('LassoCV', <class 'sklearn.linear_model.coordinate_descent.LassoCV'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('LassoCV', <class 'sklearn.linear_model.coordinate_descent.LassoCV'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('LassoCV', <class 'sklearn.linear_model.coordinate_descent.LassoCV'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('LassoCV', <class 'sklearn.linear_model.coordinate_descent.LassoCV'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('LassoCV', <class 'sklearn.linear_model.coordinate_descent.LassoCV'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('LassoCV', <class 'sklearn.linear_model.coordinate_descent.LassoCV'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('LassoCV', <class 'sklearn.linear_model.coordinate_descent.LassoCV'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('LassoCV', <class 'sklearn.linear_model.coordinate_descent.LassoCV'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('LassoCV', <class 'sklearn.linear_model.coordinate_descent.LassoCV'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('LassoCV', <class 'sklearn.linear_model.coordinate_descent.LassoCV'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('LassoCV', <class 'sklearn.linear_model.coordinate_descent.LassoCV'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('LassoCV', <class 'sklearn.linear_model.coordinate_descent.LassoCV'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('LassoCV', <class 'sklearn.linear_model.coordinate_descent.LassoCV'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('LassoCV', <class 'sklearn.linear_model.coordinate_descent.LassoCV'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('LassoCV', <class 'sklearn.linear_model.coordinate_descent.LassoCV'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('LassoCV', <class 'sklearn.linear_model.coordinate_descent.LassoCV'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('LassoCV', <class 'sklearn.linear_model.coordinate_descent.LassoCV'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('LassoCV', <class 'sklearn.linear_model.coordinate_descent.LassoCV'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('LassoCV', <class 'sklearn.linear_model.coordinate_descent.LassoCV'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('LassoCV', <class 'sklearn.linear_model.coordinate_descent.LassoCV'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('LassoCV', <class 'sklearn.linear_model.coordinate_descent.LassoCV'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('LassoLars', <class 'sklearn.linear_model.least_angle.LassoLars'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('LassoLars', <class 'sklearn.linear_model.least_angle.LassoLars'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('LassoLars', <class 'sklearn.linear_model.least_angle.LassoLars'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('LassoLars', <class 'sklearn.linear_model.least_angle.LassoLars'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('LassoLars', <class 'sklearn.linear_model.least_angle.LassoLars'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('LassoLars', <class 'sklearn.linear_model.least_angle.LassoLars'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('LassoLars', <class 'sklearn.linear_model.least_angle.LassoLars'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('LassoLars', <class 'sklearn.linear_model.least_angle.LassoLars'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('LassoLars', <class 'sklearn.linear_model.least_angle.LassoLars'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('LassoLars', <class 'sklearn.linear_model.least_angle.LassoLars'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('LassoLars', <class 'sklearn.linear_model.least_angle.LassoLars'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('LassoLars', <class 'sklearn.linear_model.least_angle.LassoLars'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('LassoLars', <class 'sklearn.linear_model.least_angle.LassoLars'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('LassoLars', <class 'sklearn.linear_model.least_angle.LassoLars'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('LassoLars', <class 'sklearn.linear_model.least_angle.LassoLars'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('LassoLars', <class 'sklearn.linear_model.least_angle.LassoLars'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('LassoLars', <class 'sklearn.linear_model.least_angle.LassoLars'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('LassoLars', <class 'sklearn.linear_model.least_angle.LassoLars'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('LassoLars', <class 'sklearn.linear_model.least_angle.LassoLars'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('LassoLars', <class 'sklearn.linear_model.least_angle.LassoLars'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('LassoLars', <class 'sklearn.linear_model.least_angle.LassoLars'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('LassoLars', <class 'sklearn.linear_model.least_angle.LassoLars'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('LassoLarsCV', <class 'sklearn.linear_model.least_angle.LassoLarsCV'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('LassoLarsCV', <class 'sklearn.linear_model.least_angle.LassoLarsCV'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('LassoLarsCV', <class 'sklearn.linear_model.least_angle.LassoLarsCV'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('LassoLarsCV', <class 'sklearn.linear_model.least_angle.LassoLarsCV'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('LassoLarsCV', <class 'sklearn.linear_model.least_angle.LassoLarsCV'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('LassoLarsCV', <class 'sklearn.linear_model.least_angle.LassoLarsCV'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('LassoLarsCV', <class 'sklearn.linear_model.least_angle.LassoLarsCV'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('LassoLarsCV', <class 'sklearn.linear_model.least_angle.LassoLarsCV'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('LassoLarsCV', <class 'sklearn.linear_model.least_angle.LassoLarsCV'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('LassoLarsCV', <class 'sklearn.linear_model.least_angle.LassoLarsCV'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('LassoLarsCV', <class 'sklearn.linear_model.least_angle.LassoLarsCV'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('LassoLarsCV', <class 'sklearn.linear_model.least_angle.LassoLarsCV'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('LassoLarsCV', <class 'sklearn.linear_model.least_angle.LassoLarsCV'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('LassoLarsCV', <class 'sklearn.linear_model.least_angle.LassoLarsCV'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('LassoLarsCV', <class 'sklearn.linear_model.least_angle.LassoLarsCV'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('LassoLarsCV', <class 'sklearn.linear_model.least_angle.LassoLarsCV'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('LassoLarsCV', <class 'sklearn.linear_model.least_angle.LassoLarsCV'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('LassoLarsCV', <class 'sklearn.linear_model.least_angle.LassoLarsCV'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('LassoLarsCV', <class 'sklearn.linear_model.least_angle.LassoLarsCV'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('LassoLarsCV', <class 'sklearn.linear_model.least_angle.LassoLarsCV'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('LassoLarsCV', <class 'sklearn.linear_model.least_angle.LassoLarsCV'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('LassoLarsCV', <class 'sklearn.linear_model.least_angle.LassoLarsCV'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('LassoLarsIC', <class 'sklearn.linear_model.least_angle.LassoLarsIC'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('LassoLarsIC', <class 'sklearn.linear_model.least_angle.LassoLarsIC'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('LassoLarsIC', <class 'sklearn.linear_model.least_angle.LassoLarsIC'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('LassoLarsIC', <class 'sklearn.linear_model.least_angle.LassoLarsIC'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('LassoLarsIC', <class 'sklearn.linear_model.least_angle.LassoLarsIC'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('LassoLarsIC', <class 'sklearn.linear_model.least_angle.LassoLarsIC'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('LassoLarsIC', <class 'sklearn.linear_model.least_angle.LassoLarsIC'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('LassoLarsIC', <class 'sklearn.linear_model.least_angle.LassoLarsIC'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('LassoLarsIC', <class 'sklearn.linear_model.least_angle.LassoLarsIC'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('LassoLarsIC', <class 'sklearn.linear_model.least_angle.LassoLarsIC'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('LassoLarsIC', <class 'sklearn.linear_model.least_angle.LassoLarsIC'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('LassoLarsIC', <class 'sklearn.linear_model.least_angle.LassoLarsIC'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('LassoLarsIC', <class 'sklearn.linear_model.least_angle.LassoLarsIC'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('LassoLarsIC', <class 'sklearn.linear_model.least_angle.LassoLarsIC'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('LassoLarsIC', <class 'sklearn.linear_model.least_angle.LassoLarsIC'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('LassoLarsIC', <class 'sklearn.linear_model.least_angle.LassoLarsIC'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('LassoLarsIC', <class 'sklearn.linear_model.least_angle.LassoLarsIC'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('LassoLarsIC', <class 'sklearn.linear_model.least_angle.LassoLarsIC'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('LassoLarsIC', <class 'sklearn.linear_model.least_angle.LassoLarsIC'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('LassoLarsIC', <class 'sklearn.linear_model.least_angle.LassoLarsIC'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('LassoLarsIC', <class 'sklearn.linear_model.least_angle.LassoLarsIC'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('LassoLarsIC', <class 'sklearn.linear_model.least_angle.LassoLarsIC'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('LatentDirichletAllocation', <class 'sklearn.decomposition.online_lda.LatentDirichletAllocation'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('LatentDirichletAllocation', <class 'sklearn.decomposition.online_lda.LatentDirichletAllocation'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('LatentDirichletAllocation', <class 'sklearn.decomposition.online_lda.LatentDirichletAllocation'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('LatentDirichletAllocation', <class 'sklearn.decomposition.online_lda.LatentDirichletAllocation'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('LatentDirichletAllocation', <class 'sklearn.decomposition.online_lda.LatentDirichletAllocation'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('LatentDirichletAllocation', <class 'sklearn.decomposition.online_lda.LatentDirichletAllocation'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('LatentDirichletAllocation', <class 'sklearn.decomposition.online_lda.LatentDirichletAllocation'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('LatentDirichletAllocation', <class 'sklearn.decomposition.online_lda.LatentDirichletAllocation'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('LatentDirichletAllocation', <class 'sklearn.decomposition.online_lda.LatentDirichletAllocation'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('LatentDirichletAllocation', <class 'sklearn.decomposition.online_lda.LatentDirichletAllocation'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('LatentDirichletAllocation', <class 'sklearn.decomposition.online_lda.LatentDirichletAllocation'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('LatentDirichletAllocation', <class 'sklearn.decomposition.online_lda.LatentDirichletAllocation'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('LatentDirichletAllocation', <class 'sklearn.decomposition.online_lda.LatentDirichletAllocation'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('LatentDirichletAllocation', <class 'sklearn.decomposition.online_lda.LatentDirichletAllocation'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('LatentDirichletAllocation', <class 'sklearn.decomposition.online_lda.LatentDirichletAllocation'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('LatentDirichletAllocation', <class 'sklearn.decomposition.online_lda.LatentDirichletAllocation'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('LatentDirichletAllocation', <class 'sklearn.decomposition.online_lda.LatentDirichletAllocation'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('LatentDirichletAllocation', <class 'sklearn.decomposition.online_lda.LatentDirichletAllocation'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('LedoitWolf', <class 'sklearn.covariance.shrunk_covariance_.LedoitWolf'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('LedoitWolf', <class 'sklearn.covariance.shrunk_covariance_.LedoitWolf'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('LedoitWolf', <class 'sklearn.covariance.shrunk_covariance_.LedoitWolf'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('LedoitWolf', <class 'sklearn.covariance.shrunk_covariance_.LedoitWolf'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('LedoitWolf', <class 'sklearn.covariance.shrunk_covariance_.LedoitWolf'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('LedoitWolf', <class 'sklearn.covariance.shrunk_covariance_.LedoitWolf'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('LedoitWolf', <class 'sklearn.covariance.shrunk_covariance_.LedoitWolf'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('LedoitWolf', <class 'sklearn.covariance.shrunk_covariance_.LedoitWolf'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('LedoitWolf', <class 'sklearn.covariance.shrunk_covariance_.LedoitWolf'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('LedoitWolf', <class 'sklearn.covariance.shrunk_covariance_.LedoitWolf'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('LedoitWolf', <class 'sklearn.covariance.shrunk_covariance_.LedoitWolf'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('LedoitWolf', <class 'sklearn.covariance.shrunk_covariance_.LedoitWolf'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('LedoitWolf', <class 'sklearn.covariance.shrunk_covariance_.LedoitWolf'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('LedoitWolf', <class 'sklearn.covariance.shrunk_covariance_.LedoitWolf'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('LedoitWolf', <class 'sklearn.covariance.shrunk_covariance_.LedoitWolf'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('LinearDiscriminantAnalysis', <class 'sklearn.discriminant_analysis.LinearDiscriminantAnalysis'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('LinearDiscriminantAnalysis', <class 'sklearn.discriminant_analysis.LinearDiscriminantAnalysis'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('LinearDiscriminantAnalysis', <class 'sklearn.discriminant_analysis.LinearDiscriminantAnalysis'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('LinearDiscriminantAnalysis', <class 'sklearn.discriminant_analysis.LinearDiscriminantAnalysis'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('LinearDiscriminantAnalysis', <class 'sklearn.discriminant_analysis.LinearDiscriminantAnalysis'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('LinearDiscriminantAnalysis', <class 'sklearn.discriminant_analysis.LinearDiscriminantAnalysis'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('LinearDiscriminantAnalysis', <class 'sklearn.discriminant_analysis.LinearDiscriminantAnalysis'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('LinearDiscriminantAnalysis', <class 'sklearn.discriminant_analysis.LinearDiscriminantAnalysis'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('LinearDiscriminantAnalysis', <class 'sklearn.discriminant_analysis.LinearDiscriminantAnalysis'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('LinearDiscriminantAnalysis', <class 'sklearn.discriminant_analysis.LinearDiscriminantAnalysis'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('LinearDiscriminantAnalysis', <class 'sklearn.discriminant_analysis.LinearDiscriminantAnalysis'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('LinearDiscriminantAnalysis', <class 'sklearn.discriminant_analysis.LinearDiscriminantAnalysis'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('LinearDiscriminantAnalysis', <class 'sklearn.discriminant_analysis.LinearDiscriminantAnalysis'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('LinearDiscriminantAnalysis', <class 'sklearn.discriminant_analysis.LinearDiscriminantAnalysis'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('LinearDiscriminantAnalysis', <class 'sklearn.discriminant_analysis.LinearDiscriminantAnalysis'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('LinearDiscriminantAnalysis', <class 'sklearn.discriminant_analysis.LinearDiscriminantAnalysis'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('LinearDiscriminantAnalysis', <class 'sklearn.discriminant_analysis.LinearDiscriminantAnalysis'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('LinearDiscriminantAnalysis', <class 'sklearn.discriminant_analysis.LinearDiscriminantAnalysis'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('LinearDiscriminantAnalysis', <class 'sklearn.discriminant_analysis.LinearDiscriminantAnalysis'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('LinearDiscriminantAnalysis', <class 'sklearn.discriminant_analysis.LinearDiscriminantAnalysis'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('LinearDiscriminantAnalysis', <class 'sklearn.discriminant_analysis.LinearDiscriminantAnalysis'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('LinearDiscriminantAnalysis', <class 'sklearn.discriminant_analysis.LinearDiscriminantAnalysis'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('LinearDiscriminantAnalysis', <class 'sklearn.discriminant_analysis.LinearDiscriminantAnalysis'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('LinearDiscriminantAnalysis', <class 'sklearn.discriminant_analysis.LinearDiscriminantAnalysis'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('LinearDiscriminantAnalysis', <class 'sklearn.discriminant_analysis.LinearDiscriminantAnalysis'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('LinearDiscriminantAnalysis', <class 'sklearn.discriminant_analysis.LinearDiscriminantAnalysis'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('LinearRegression', <class 'sklearn.linear_model.base.LinearRegression'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('LinearRegression', <class 'sklearn.linear_model.base.LinearRegression'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('LinearRegression', <class 'sklearn.linear_model.base.LinearRegression'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('LinearRegression', <class 'sklearn.linear_model.base.LinearRegression'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('LinearRegression', <class 'sklearn.linear_model.base.LinearRegression'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('LinearRegression', <class 'sklearn.linear_model.base.LinearRegression'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('LinearRegression', <class 'sklearn.linear_model.base.LinearRegression'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('LinearRegression', <class 'sklearn.linear_model.base.LinearRegression'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('LinearRegression', <class 'sklearn.linear_model.base.LinearRegression'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('LinearRegression', <class 'sklearn.linear_model.base.LinearRegression'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('LinearRegression', <class 'sklearn.linear_model.base.LinearRegression'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('LinearRegression', <class 'sklearn.linear_model.base.LinearRegression'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('LinearRegression', <class 'sklearn.linear_model.base.LinearRegression'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('LinearRegression', <class 'sklearn.linear_model.base.LinearRegression'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('LinearRegression', <class 'sklearn.linear_model.base.LinearRegression'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('LinearRegression', <class 'sklearn.linear_model.base.LinearRegression'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('LinearRegression', <class 'sklearn.linear_model.base.LinearRegression'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('LinearRegression', <class 'sklearn.linear_model.base.LinearRegression'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('LinearRegression', <class 'sklearn.linear_model.base.LinearRegression'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('LinearRegression', <class 'sklearn.linear_model.base.LinearRegression'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('LinearRegression', <class 'sklearn.linear_model.base.LinearRegression'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('LinearRegression', <class 'sklearn.linear_model.base.LinearRegression'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('LinearSVC', <class 'sklearn.svm.classes.LinearSVC'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('LinearSVC', <class 'sklearn.svm.classes.LinearSVC'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('LinearSVC', <class 'sklearn.svm.classes.LinearSVC'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('LinearSVC', <class 'sklearn.svm.classes.LinearSVC'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('LinearSVC', <class 'sklearn.svm.classes.LinearSVC'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('LinearSVC', <class 'sklearn.svm.classes.LinearSVC'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('LinearSVC', <class 'sklearn.svm.classes.LinearSVC'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('LinearSVC', <class 'sklearn.svm.classes.LinearSVC'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('LinearSVC', <class 'sklearn.svm.classes.LinearSVC'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('LinearSVC', <class 'sklearn.svm.classes.LinearSVC'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('LinearSVC', <class 'sklearn.svm.classes.LinearSVC'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('LinearSVC', <class 'sklearn.svm.classes.LinearSVC'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('LinearSVC', <class 'sklearn.svm.classes.LinearSVC'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('LinearSVC', <class 'sklearn.svm.classes.LinearSVC'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('LinearSVC', <class 'sklearn.svm.classes.LinearSVC'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('LinearSVC', <class 'sklearn.svm.classes.LinearSVC'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('LinearSVC', <class 'sklearn.svm.classes.LinearSVC'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('LinearSVC', <class 'sklearn.svm.classes.LinearSVC'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('LinearSVC', <class 'sklearn.svm.classes.LinearSVC'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('LinearSVC', <class 'sklearn.svm.classes.LinearSVC'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('LinearSVC', <class 'sklearn.svm.classes.LinearSVC'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('LinearSVC', <class 'sklearn.svm.classes.LinearSVC'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('LinearSVC', <class 'sklearn.svm.classes.LinearSVC'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('LinearSVC', <class 'sklearn.svm.classes.LinearSVC'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('LinearSVC', <class 'sklearn.svm.classes.LinearSVC'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('LinearSVR', <class 'sklearn.svm.classes.LinearSVR'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('LinearSVR', <class 'sklearn.svm.classes.LinearSVR'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('LinearSVR', <class 'sklearn.svm.classes.LinearSVR'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('LinearSVR', <class 'sklearn.svm.classes.LinearSVR'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('LinearSVR', <class 'sklearn.svm.classes.LinearSVR'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('LinearSVR', <class 'sklearn.svm.classes.LinearSVR'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('LinearSVR', <class 'sklearn.svm.classes.LinearSVR'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('LinearSVR', <class 'sklearn.svm.classes.LinearSVR'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('LinearSVR', <class 'sklearn.svm.classes.LinearSVR'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('LinearSVR', <class 'sklearn.svm.classes.LinearSVR'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('LinearSVR', <class 'sklearn.svm.classes.LinearSVR'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('LinearSVR', <class 'sklearn.svm.classes.LinearSVR'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('LinearSVR', <class 'sklearn.svm.classes.LinearSVR'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('LinearSVR', <class 'sklearn.svm.classes.LinearSVR'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('LinearSVR', <class 'sklearn.svm.classes.LinearSVR'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('LinearSVR', <class 'sklearn.svm.classes.LinearSVR'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('LinearSVR', <class 'sklearn.svm.classes.LinearSVR'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('LinearSVR', <class 'sklearn.svm.classes.LinearSVR'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('LinearSVR', <class 'sklearn.svm.classes.LinearSVR'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('LinearSVR', <class 'sklearn.svm.classes.LinearSVR'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('LinearSVR', <class 'sklearn.svm.classes.LinearSVR'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('LinearSVR', <class 'sklearn.svm.classes.LinearSVR'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('LocallyLinearEmbedding', <class 'sklearn.manifold.locally_linear.LocallyLinearEmbedding'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('LocallyLinearEmbedding', <class 'sklearn.manifold.locally_linear.LocallyLinearEmbedding'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('LocallyLinearEmbedding', <class 'sklearn.manifold.locally_linear.LocallyLinearEmbedding'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('LocallyLinearEmbedding', <class 'sklearn.manifold.locally_linear.LocallyLinearEmbedding'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('LocallyLinearEmbedding', <class 'sklearn.manifold.locally_linear.LocallyLinearEmbedding'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('LocallyLinearEmbedding', <class 'sklearn.manifold.locally_linear.LocallyLinearEmbedding'>) ... SKIP: LocallyLinearEmbedding is non deterministic on 32bit Python
sklearn.tests.test_common.test_non_meta_estimators('LocallyLinearEmbedding', <class 'sklearn.manifold.locally_linear.LocallyLinearEmbedding'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('LocallyLinearEmbedding', <class 'sklearn.manifold.locally_linear.LocallyLinearEmbedding'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('LocallyLinearEmbedding', <class 'sklearn.manifold.locally_linear.LocallyLinearEmbedding'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('LocallyLinearEmbedding', <class 'sklearn.manifold.locally_linear.LocallyLinearEmbedding'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('LocallyLinearEmbedding', <class 'sklearn.manifold.locally_linear.LocallyLinearEmbedding'>) ... SKIP: LocallyLinearEmbedding is non deterministic on 32bit Python
sklearn.tests.test_common.test_non_meta_estimators('LocallyLinearEmbedding', <class 'sklearn.manifold.locally_linear.LocallyLinearEmbedding'>) ... SKIP: LocallyLinearEmbedding is non deterministic on 32bit Python
sklearn.tests.test_common.test_non_meta_estimators('LocallyLinearEmbedding', <class 'sklearn.manifold.locally_linear.LocallyLinearEmbedding'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('LocallyLinearEmbedding', <class 'sklearn.manifold.locally_linear.LocallyLinearEmbedding'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('LocallyLinearEmbedding', <class 'sklearn.manifold.locally_linear.LocallyLinearEmbedding'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('LocallyLinearEmbedding', <class 'sklearn.manifold.locally_linear.LocallyLinearEmbedding'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('LocallyLinearEmbedding', <class 'sklearn.manifold.locally_linear.LocallyLinearEmbedding'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('LocallyLinearEmbedding', <class 'sklearn.manifold.locally_linear.LocallyLinearEmbedding'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('LogisticRegression', <class 'sklearn.linear_model.logistic.LogisticRegression'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('LogisticRegression', <class 'sklearn.linear_model.logistic.LogisticRegression'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('LogisticRegression', <class 'sklearn.linear_model.logistic.LogisticRegression'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('LogisticRegression', <class 'sklearn.linear_model.logistic.LogisticRegression'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('LogisticRegression', <class 'sklearn.linear_model.logistic.LogisticRegression'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('LogisticRegression', <class 'sklearn.linear_model.logistic.LogisticRegression'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('LogisticRegression', <class 'sklearn.linear_model.logistic.LogisticRegression'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('LogisticRegression', <class 'sklearn.linear_model.logistic.LogisticRegression'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('LogisticRegression', <class 'sklearn.linear_model.logistic.LogisticRegression'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('LogisticRegression', <class 'sklearn.linear_model.logistic.LogisticRegression'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('LogisticRegression', <class 'sklearn.linear_model.logistic.LogisticRegression'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('LogisticRegression', <class 'sklearn.linear_model.logistic.LogisticRegression'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('LogisticRegression', <class 'sklearn.linear_model.logistic.LogisticRegression'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('LogisticRegression', <class 'sklearn.linear_model.logistic.LogisticRegression'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('LogisticRegression', <class 'sklearn.linear_model.logistic.LogisticRegression'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('LogisticRegression', <class 'sklearn.linear_model.logistic.LogisticRegression'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('LogisticRegression', <class 'sklearn.linear_model.logistic.LogisticRegression'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('LogisticRegression', <class 'sklearn.linear_model.logistic.LogisticRegression'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('LogisticRegression', <class 'sklearn.linear_model.logistic.LogisticRegression'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('LogisticRegression', <class 'sklearn.linear_model.logistic.LogisticRegression'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('LogisticRegression', <class 'sklearn.linear_model.logistic.LogisticRegression'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('LogisticRegression', <class 'sklearn.linear_model.logistic.LogisticRegression'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('LogisticRegression', <class 'sklearn.linear_model.logistic.LogisticRegression'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('LogisticRegression', <class 'sklearn.linear_model.logistic.LogisticRegression'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('LogisticRegression', <class 'sklearn.linear_model.logistic.LogisticRegression'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('LogisticRegressionCV', <class 'sklearn.linear_model.logistic.LogisticRegressionCV'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('LogisticRegressionCV', <class 'sklearn.linear_model.logistic.LogisticRegressionCV'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('LogisticRegressionCV', <class 'sklearn.linear_model.logistic.LogisticRegressionCV'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('LogisticRegressionCV', <class 'sklearn.linear_model.logistic.LogisticRegressionCV'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('LogisticRegressionCV', <class 'sklearn.linear_model.logistic.LogisticRegressionCV'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('LogisticRegressionCV', <class 'sklearn.linear_model.logistic.LogisticRegressionCV'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('LogisticRegressionCV', <class 'sklearn.linear_model.logistic.LogisticRegressionCV'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('LogisticRegressionCV', <class 'sklearn.linear_model.logistic.LogisticRegressionCV'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('LogisticRegressionCV', <class 'sklearn.linear_model.logistic.LogisticRegressionCV'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('LogisticRegressionCV', <class 'sklearn.linear_model.logistic.LogisticRegressionCV'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('LogisticRegressionCV', <class 'sklearn.linear_model.logistic.LogisticRegressionCV'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('LogisticRegressionCV', <class 'sklearn.linear_model.logistic.LogisticRegressionCV'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('LogisticRegressionCV', <class 'sklearn.linear_model.logistic.LogisticRegressionCV'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('LogisticRegressionCV', <class 'sklearn.linear_model.logistic.LogisticRegressionCV'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('LogisticRegressionCV', <class 'sklearn.linear_model.logistic.LogisticRegressionCV'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('LogisticRegressionCV', <class 'sklearn.linear_model.logistic.LogisticRegressionCV'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('LogisticRegressionCV', <class 'sklearn.linear_model.logistic.LogisticRegressionCV'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('LogisticRegressionCV', <class 'sklearn.linear_model.logistic.LogisticRegressionCV'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('LogisticRegressionCV', <class 'sklearn.linear_model.logistic.LogisticRegressionCV'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('LogisticRegressionCV', <class 'sklearn.linear_model.logistic.LogisticRegressionCV'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('LogisticRegressionCV', <class 'sklearn.linear_model.logistic.LogisticRegressionCV'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('LogisticRegressionCV', <class 'sklearn.linear_model.logistic.LogisticRegressionCV'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('LogisticRegressionCV', <class 'sklearn.linear_model.logistic.LogisticRegressionCV'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('LogisticRegressionCV', <class 'sklearn.linear_model.logistic.LogisticRegressionCV'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('LogisticRegressionCV', <class 'sklearn.linear_model.logistic.LogisticRegressionCV'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('MDS', <class 'sklearn.manifold.mds.MDS'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('MDS', <class 'sklearn.manifold.mds.MDS'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('MDS', <class 'sklearn.manifold.mds.MDS'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('MDS', <class 'sklearn.manifold.mds.MDS'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('MDS', <class 'sklearn.manifold.mds.MDS'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('MDS', <class 'sklearn.manifold.mds.MDS'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('MDS', <class 'sklearn.manifold.mds.MDS'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('MDS', <class 'sklearn.manifold.mds.MDS'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('MDS', <class 'sklearn.manifold.mds.MDS'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('MDS', <class 'sklearn.manifold.mds.MDS'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('MDS', <class 'sklearn.manifold.mds.MDS'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('MDS', <class 'sklearn.manifold.mds.MDS'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('MDS', <class 'sklearn.manifold.mds.MDS'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('MDS', <class 'sklearn.manifold.mds.MDS'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('MDS', <class 'sklearn.manifold.mds.MDS'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('MaxAbsScaler', <class 'sklearn.preprocessing.data.MaxAbsScaler'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('MaxAbsScaler', <class 'sklearn.preprocessing.data.MaxAbsScaler'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('MaxAbsScaler', <class 'sklearn.preprocessing.data.MaxAbsScaler'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('MaxAbsScaler', <class 'sklearn.preprocessing.data.MaxAbsScaler'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('MaxAbsScaler', <class 'sklearn.preprocessing.data.MaxAbsScaler'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('MaxAbsScaler', <class 'sklearn.preprocessing.data.MaxAbsScaler'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('MaxAbsScaler', <class 'sklearn.preprocessing.data.MaxAbsScaler'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('MaxAbsScaler', <class 'sklearn.preprocessing.data.MaxAbsScaler'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('MaxAbsScaler', <class 'sklearn.preprocessing.data.MaxAbsScaler'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('MaxAbsScaler', <class 'sklearn.preprocessing.data.MaxAbsScaler'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('MaxAbsScaler', <class 'sklearn.preprocessing.data.MaxAbsScaler'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('MaxAbsScaler', <class 'sklearn.preprocessing.data.MaxAbsScaler'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('MaxAbsScaler', <class 'sklearn.preprocessing.data.MaxAbsScaler'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('MaxAbsScaler', <class 'sklearn.preprocessing.data.MaxAbsScaler'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('MaxAbsScaler', <class 'sklearn.preprocessing.data.MaxAbsScaler'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('MaxAbsScaler', <class 'sklearn.preprocessing.data.MaxAbsScaler'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('MaxAbsScaler', <class 'sklearn.preprocessing.data.MaxAbsScaler'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('MaxAbsScaler', <class 'sklearn.preprocessing.data.MaxAbsScaler'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('MeanShift', <class 'sklearn.cluster.mean_shift_.MeanShift'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('MeanShift', <class 'sklearn.cluster.mean_shift_.MeanShift'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('MeanShift', <class 'sklearn.cluster.mean_shift_.MeanShift'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('MeanShift', <class 'sklearn.cluster.mean_shift_.MeanShift'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('MeanShift', <class 'sklearn.cluster.mean_shift_.MeanShift'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('MeanShift', <class 'sklearn.cluster.mean_shift_.MeanShift'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('MeanShift', <class 'sklearn.cluster.mean_shift_.MeanShift'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('MeanShift', <class 'sklearn.cluster.mean_shift_.MeanShift'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('MeanShift', <class 'sklearn.cluster.mean_shift_.MeanShift'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('MeanShift', <class 'sklearn.cluster.mean_shift_.MeanShift'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('MeanShift', <class 'sklearn.cluster.mean_shift_.MeanShift'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('MeanShift', <class 'sklearn.cluster.mean_shift_.MeanShift'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('MeanShift', <class 'sklearn.cluster.mean_shift_.MeanShift'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('MeanShift', <class 'sklearn.cluster.mean_shift_.MeanShift'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('MeanShift', <class 'sklearn.cluster.mean_shift_.MeanShift'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('MeanShift', <class 'sklearn.cluster.mean_shift_.MeanShift'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('MeanShift', <class 'sklearn.cluster.mean_shift_.MeanShift'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('MeanShift', <class 'sklearn.cluster.mean_shift_.MeanShift'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('MinCovDet', <class 'sklearn.covariance.robust_covariance.MinCovDet'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('MinCovDet', <class 'sklearn.covariance.robust_covariance.MinCovDet'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('MinCovDet', <class 'sklearn.covariance.robust_covariance.MinCovDet'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('MinCovDet', <class 'sklearn.covariance.robust_covariance.MinCovDet'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('MinCovDet', <class 'sklearn.covariance.robust_covariance.MinCovDet'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('MinCovDet', <class 'sklearn.covariance.robust_covariance.MinCovDet'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('MinCovDet', <class 'sklearn.covariance.robust_covariance.MinCovDet'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('MinCovDet', <class 'sklearn.covariance.robust_covariance.MinCovDet'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('MinCovDet', <class 'sklearn.covariance.robust_covariance.MinCovDet'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('MinCovDet', <class 'sklearn.covariance.robust_covariance.MinCovDet'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('MinCovDet', <class 'sklearn.covariance.robust_covariance.MinCovDet'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('MinCovDet', <class 'sklearn.covariance.robust_covariance.MinCovDet'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('MinCovDet', <class 'sklearn.covariance.robust_covariance.MinCovDet'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('MinCovDet', <class 'sklearn.covariance.robust_covariance.MinCovDet'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('MinCovDet', <class 'sklearn.covariance.robust_covariance.MinCovDet'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('MinMaxScaler', <class 'sklearn.preprocessing.data.MinMaxScaler'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('MinMaxScaler', <class 'sklearn.preprocessing.data.MinMaxScaler'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('MinMaxScaler', <class 'sklearn.preprocessing.data.MinMaxScaler'>) ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/validation.py:420: DataConversionWarning: Data with input dtype object was converted to float64 by MinMaxScaler.
warnings.warn(msg, DataConversionWarning)
ok
sklearn.tests.test_common.test_non_meta_estimators('MinMaxScaler', <class 'sklearn.preprocessing.data.MinMaxScaler'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('MinMaxScaler', <class 'sklearn.preprocessing.data.MinMaxScaler'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('MinMaxScaler', <class 'sklearn.preprocessing.data.MinMaxScaler'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('MinMaxScaler', <class 'sklearn.preprocessing.data.MinMaxScaler'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('MinMaxScaler', <class 'sklearn.preprocessing.data.MinMaxScaler'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('MinMaxScaler', <class 'sklearn.preprocessing.data.MinMaxScaler'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('MinMaxScaler', <class 'sklearn.preprocessing.data.MinMaxScaler'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('MinMaxScaler', <class 'sklearn.preprocessing.data.MinMaxScaler'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('MinMaxScaler', <class 'sklearn.preprocessing.data.MinMaxScaler'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('MinMaxScaler', <class 'sklearn.preprocessing.data.MinMaxScaler'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('MinMaxScaler', <class 'sklearn.preprocessing.data.MinMaxScaler'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('MinMaxScaler', <class 'sklearn.preprocessing.data.MinMaxScaler'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('MinMaxScaler', <class 'sklearn.preprocessing.data.MinMaxScaler'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('MinMaxScaler', <class 'sklearn.preprocessing.data.MinMaxScaler'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('MinMaxScaler', <class 'sklearn.preprocessing.data.MinMaxScaler'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('MiniBatchDictionaryLearning', <class 'sklearn.decomposition.dict_learning.MiniBatchDictionaryLearning'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('MiniBatchDictionaryLearning', <class 'sklearn.decomposition.dict_learning.MiniBatchDictionaryLearning'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('MiniBatchDictionaryLearning', <class 'sklearn.decomposition.dict_learning.MiniBatchDictionaryLearning'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('MiniBatchDictionaryLearning', <class 'sklearn.decomposition.dict_learning.MiniBatchDictionaryLearning'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('MiniBatchDictionaryLearning', <class 'sklearn.decomposition.dict_learning.MiniBatchDictionaryLearning'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('MiniBatchDictionaryLearning', <class 'sklearn.decomposition.dict_learning.MiniBatchDictionaryLearning'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('MiniBatchDictionaryLearning', <class 'sklearn.decomposition.dict_learning.MiniBatchDictionaryLearning'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('MiniBatchDictionaryLearning', <class 'sklearn.decomposition.dict_learning.MiniBatchDictionaryLearning'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('MiniBatchDictionaryLearning', <class 'sklearn.decomposition.dict_learning.MiniBatchDictionaryLearning'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('MiniBatchDictionaryLearning', <class 'sklearn.decomposition.dict_learning.MiniBatchDictionaryLearning'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('MiniBatchDictionaryLearning', <class 'sklearn.decomposition.dict_learning.MiniBatchDictionaryLearning'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('MiniBatchDictionaryLearning', <class 'sklearn.decomposition.dict_learning.MiniBatchDictionaryLearning'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('MiniBatchDictionaryLearning', <class 'sklearn.decomposition.dict_learning.MiniBatchDictionaryLearning'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('MiniBatchDictionaryLearning', <class 'sklearn.decomposition.dict_learning.MiniBatchDictionaryLearning'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('MiniBatchDictionaryLearning', <class 'sklearn.decomposition.dict_learning.MiniBatchDictionaryLearning'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('MiniBatchDictionaryLearning', <class 'sklearn.decomposition.dict_learning.MiniBatchDictionaryLearning'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('MiniBatchDictionaryLearning', <class 'sklearn.decomposition.dict_learning.MiniBatchDictionaryLearning'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('MiniBatchDictionaryLearning', <class 'sklearn.decomposition.dict_learning.MiniBatchDictionaryLearning'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('MiniBatchKMeans', <class 'sklearn.cluster.k_means_.MiniBatchKMeans'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('MiniBatchKMeans', <class 'sklearn.cluster.k_means_.MiniBatchKMeans'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('MiniBatchKMeans', <class 'sklearn.cluster.k_means_.MiniBatchKMeans'>) ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/validation.py:420: DataConversionWarning: Data with input dtype object was converted to float64.
warnings.warn(msg, DataConversionWarning)
ok
sklearn.tests.test_common.test_non_meta_estimators('MiniBatchKMeans', <class 'sklearn.cluster.k_means_.MiniBatchKMeans'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('MiniBatchKMeans', <class 'sklearn.cluster.k_means_.MiniBatchKMeans'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('MiniBatchKMeans', <class 'sklearn.cluster.k_means_.MiniBatchKMeans'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('MiniBatchKMeans', <class 'sklearn.cluster.k_means_.MiniBatchKMeans'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('MiniBatchKMeans', <class 'sklearn.cluster.k_means_.MiniBatchKMeans'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('MiniBatchKMeans', <class 'sklearn.cluster.k_means_.MiniBatchKMeans'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('MiniBatchKMeans', <class 'sklearn.cluster.k_means_.MiniBatchKMeans'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('MiniBatchKMeans', <class 'sklearn.cluster.k_means_.MiniBatchKMeans'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('MiniBatchKMeans', <class 'sklearn.cluster.k_means_.MiniBatchKMeans'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('MiniBatchKMeans', <class 'sklearn.cluster.k_means_.MiniBatchKMeans'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('MiniBatchKMeans', <class 'sklearn.cluster.k_means_.MiniBatchKMeans'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('MiniBatchKMeans', <class 'sklearn.cluster.k_means_.MiniBatchKMeans'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('MiniBatchKMeans', <class 'sklearn.cluster.k_means_.MiniBatchKMeans'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('MiniBatchKMeans', <class 'sklearn.cluster.k_means_.MiniBatchKMeans'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('MiniBatchKMeans', <class 'sklearn.cluster.k_means_.MiniBatchKMeans'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('MiniBatchKMeans', <class 'sklearn.cluster.k_means_.MiniBatchKMeans'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('MiniBatchKMeans', <class 'sklearn.cluster.k_means_.MiniBatchKMeans'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('MiniBatchKMeans', <class 'sklearn.cluster.k_means_.MiniBatchKMeans'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('MiniBatchSparsePCA', <class 'sklearn.decomposition.sparse_pca.MiniBatchSparsePCA'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('MiniBatchSparsePCA', <class 'sklearn.decomposition.sparse_pca.MiniBatchSparsePCA'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('MiniBatchSparsePCA', <class 'sklearn.decomposition.sparse_pca.MiniBatchSparsePCA'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('MiniBatchSparsePCA', <class 'sklearn.decomposition.sparse_pca.MiniBatchSparsePCA'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('MiniBatchSparsePCA', <class 'sklearn.decomposition.sparse_pca.MiniBatchSparsePCA'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('MiniBatchSparsePCA', <class 'sklearn.decomposition.sparse_pca.MiniBatchSparsePCA'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('MiniBatchSparsePCA', <class 'sklearn.decomposition.sparse_pca.MiniBatchSparsePCA'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('MiniBatchSparsePCA', <class 'sklearn.decomposition.sparse_pca.MiniBatchSparsePCA'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('MiniBatchSparsePCA', <class 'sklearn.decomposition.sparse_pca.MiniBatchSparsePCA'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('MiniBatchSparsePCA', <class 'sklearn.decomposition.sparse_pca.MiniBatchSparsePCA'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('MiniBatchSparsePCA', <class 'sklearn.decomposition.sparse_pca.MiniBatchSparsePCA'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('MiniBatchSparsePCA', <class 'sklearn.decomposition.sparse_pca.MiniBatchSparsePCA'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('MiniBatchSparsePCA', <class 'sklearn.decomposition.sparse_pca.MiniBatchSparsePCA'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('MiniBatchSparsePCA', <class 'sklearn.decomposition.sparse_pca.MiniBatchSparsePCA'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('MiniBatchSparsePCA', <class 'sklearn.decomposition.sparse_pca.MiniBatchSparsePCA'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('MiniBatchSparsePCA', <class 'sklearn.decomposition.sparse_pca.MiniBatchSparsePCA'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('MiniBatchSparsePCA', <class 'sklearn.decomposition.sparse_pca.MiniBatchSparsePCA'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('MiniBatchSparsePCA', <class 'sklearn.decomposition.sparse_pca.MiniBatchSparsePCA'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('MultiTaskElasticNet', <class 'sklearn.linear_model.coordinate_descent.MultiTaskElasticNet'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('MultiTaskElasticNet', <class 'sklearn.linear_model.coordinate_descent.MultiTaskElasticNet'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('MultiTaskElasticNet', <class 'sklearn.linear_model.coordinate_descent.MultiTaskElasticNet'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('MultiTaskElasticNet', <class 'sklearn.linear_model.coordinate_descent.MultiTaskElasticNet'>) ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/coordinate_descent.py:1687: UserWarning: Objective did not converge, you might want to increase the number of iterations
warnings.warn('Objective did not converge, you might want'
ok
sklearn.tests.test_common.test_non_meta_estimators('MultiTaskElasticNet', <class 'sklearn.linear_model.coordinate_descent.MultiTaskElasticNet'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('MultiTaskElasticNet', <class 'sklearn.linear_model.coordinate_descent.MultiTaskElasticNet'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('MultiTaskElasticNet', <class 'sklearn.linear_model.coordinate_descent.MultiTaskElasticNet'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('MultiTaskElasticNet', <class 'sklearn.linear_model.coordinate_descent.MultiTaskElasticNet'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('MultiTaskElasticNet', <class 'sklearn.linear_model.coordinate_descent.MultiTaskElasticNet'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('MultiTaskElasticNet', <class 'sklearn.linear_model.coordinate_descent.MultiTaskElasticNet'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('MultiTaskElasticNet', <class 'sklearn.linear_model.coordinate_descent.MultiTaskElasticNet'>) ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/coordinate_descent.py:1687: UserWarning: Objective did not converge, you might want to increase the number of iterations
warnings.warn('Objective did not converge, you might want'
ok
sklearn.tests.test_common.test_non_meta_estimators('MultiTaskElasticNet', <class 'sklearn.linear_model.coordinate_descent.MultiTaskElasticNet'>) ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/coordinate_descent.py:1687: UserWarning: Objective did not converge, you might want to increase the number of iterations
warnings.warn('Objective did not converge, you might want'
ok
sklearn.tests.test_common.test_non_meta_estimators('MultiTaskElasticNet', <class 'sklearn.linear_model.coordinate_descent.MultiTaskElasticNet'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('MultiTaskElasticNet', <class 'sklearn.linear_model.coordinate_descent.MultiTaskElasticNet'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('MultiTaskElasticNet', <class 'sklearn.linear_model.coordinate_descent.MultiTaskElasticNet'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('MultiTaskElasticNet', <class 'sklearn.linear_model.coordinate_descent.MultiTaskElasticNet'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('MultiTaskElasticNet', <class 'sklearn.linear_model.coordinate_descent.MultiTaskElasticNet'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('MultiTaskElasticNet', <class 'sklearn.linear_model.coordinate_descent.MultiTaskElasticNet'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('MultiTaskElasticNet', <class 'sklearn.linear_model.coordinate_descent.MultiTaskElasticNet'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('MultiTaskElasticNet', <class 'sklearn.linear_model.coordinate_descent.MultiTaskElasticNet'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('MultiTaskElasticNet', <class 'sklearn.linear_model.coordinate_descent.MultiTaskElasticNet'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('MultiTaskElasticNet', <class 'sklearn.linear_model.coordinate_descent.MultiTaskElasticNet'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('MultiTaskElasticNetCV', <class 'sklearn.linear_model.coordinate_descent.MultiTaskElasticNetCV'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('MultiTaskElasticNetCV', <class 'sklearn.linear_model.coordinate_descent.MultiTaskElasticNetCV'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('MultiTaskElasticNetCV', <class 'sklearn.linear_model.coordinate_descent.MultiTaskElasticNetCV'>) ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/coordinate_descent.py:1687: UserWarning: Objective did not converge, you might want to increase the number of iterations
warnings.warn('Objective did not converge, you might want'
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/coordinate_descent.py:1687: UserWarning: Objective did not converge, you might want to increase the number of iterations
warnings.warn('Objective did not converge, you might want'
ok
sklearn.tests.test_common.test_non_meta_estimators('MultiTaskElasticNetCV', <class 'sklearn.linear_model.coordinate_descent.MultiTaskElasticNetCV'>) ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/coordinate_descent.py:1687: UserWarning: Objective did not converge, you might want to increase the number of iterations
warnings.warn('Objective did not converge, you might want'
ok
sklearn.tests.test_common.test_non_meta_estimators('MultiTaskElasticNetCV', <class 'sklearn.linear_model.coordinate_descent.MultiTaskElasticNetCV'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('MultiTaskElasticNetCV', <class 'sklearn.linear_model.coordinate_descent.MultiTaskElasticNetCV'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('MultiTaskElasticNetCV', <class 'sklearn.linear_model.coordinate_descent.MultiTaskElasticNetCV'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('MultiTaskElasticNetCV', <class 'sklearn.linear_model.coordinate_descent.MultiTaskElasticNetCV'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('MultiTaskElasticNetCV', <class 'sklearn.linear_model.coordinate_descent.MultiTaskElasticNetCV'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('MultiTaskElasticNetCV', <class 'sklearn.linear_model.coordinate_descent.MultiTaskElasticNetCV'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('MultiTaskElasticNetCV', <class 'sklearn.linear_model.coordinate_descent.MultiTaskElasticNetCV'>) ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/coordinate_descent.py:1687: UserWarning: Objective did not converge, you might want to increase the number of iterations
warnings.warn('Objective did not converge, you might want'
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/coordinate_descent.py:1687: UserWarning: Objective did not converge, you might want to increase the number of iterations
warnings.warn('Objective did not converge, you might want'
ok
sklearn.tests.test_common.test_non_meta_estimators('MultiTaskElasticNetCV', <class 'sklearn.linear_model.coordinate_descent.MultiTaskElasticNetCV'>) ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/coordinate_descent.py:1687: UserWarning: Objective did not converge, you might want to increase the number of iterations
warnings.warn('Objective did not converge, you might want'
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/coordinate_descent.py:1687: UserWarning: Objective did not converge, you might want to increase the number of iterations
warnings.warn('Objective did not converge, you might want'
ok
sklearn.tests.test_common.test_non_meta_estimators('MultiTaskElasticNetCV', <class 'sklearn.linear_model.coordinate_descent.MultiTaskElasticNetCV'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('MultiTaskElasticNetCV', <class 'sklearn.linear_model.coordinate_descent.MultiTaskElasticNetCV'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('MultiTaskElasticNetCV', <class 'sklearn.linear_model.coordinate_descent.MultiTaskElasticNetCV'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('MultiTaskElasticNetCV', <class 'sklearn.linear_model.coordinate_descent.MultiTaskElasticNetCV'>) ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/coordinate_descent.py:1687: UserWarning: Objective did not converge, you might want to increase the number of iterations
warnings.warn('Objective did not converge, you might want'
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/coordinate_descent.py:1687: UserWarning: Objective did not converge, you might want to increase the number of iterations
warnings.warn('Objective did not converge, you might want'
ok
sklearn.tests.test_common.test_non_meta_estimators('MultiTaskElasticNetCV', <class 'sklearn.linear_model.coordinate_descent.MultiTaskElasticNetCV'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('MultiTaskElasticNetCV', <class 'sklearn.linear_model.coordinate_descent.MultiTaskElasticNetCV'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('MultiTaskElasticNetCV', <class 'sklearn.linear_model.coordinate_descent.MultiTaskElasticNetCV'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('MultiTaskElasticNetCV', <class 'sklearn.linear_model.coordinate_descent.MultiTaskElasticNetCV'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('MultiTaskElasticNetCV', <class 'sklearn.linear_model.coordinate_descent.MultiTaskElasticNetCV'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('MultiTaskElasticNetCV', <class 'sklearn.linear_model.coordinate_descent.MultiTaskElasticNetCV'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('MultiTaskLasso', <class 'sklearn.linear_model.coordinate_descent.MultiTaskLasso'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('MultiTaskLasso', <class 'sklearn.linear_model.coordinate_descent.MultiTaskLasso'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('MultiTaskLasso', <class 'sklearn.linear_model.coordinate_descent.MultiTaskLasso'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('MultiTaskLasso', <class 'sklearn.linear_model.coordinate_descent.MultiTaskLasso'>) ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/coordinate_descent.py:1687: UserWarning: Objective did not converge, you might want to increase the number of iterations
warnings.warn('Objective did not converge, you might want'
ok
sklearn.tests.test_common.test_non_meta_estimators('MultiTaskLasso', <class 'sklearn.linear_model.coordinate_descent.MultiTaskLasso'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('MultiTaskLasso', <class 'sklearn.linear_model.coordinate_descent.MultiTaskLasso'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('MultiTaskLasso', <class 'sklearn.linear_model.coordinate_descent.MultiTaskLasso'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('MultiTaskLasso', <class 'sklearn.linear_model.coordinate_descent.MultiTaskLasso'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('MultiTaskLasso', <class 'sklearn.linear_model.coordinate_descent.MultiTaskLasso'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('MultiTaskLasso', <class 'sklearn.linear_model.coordinate_descent.MultiTaskLasso'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('MultiTaskLasso', <class 'sklearn.linear_model.coordinate_descent.MultiTaskLasso'>) ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/coordinate_descent.py:1687: UserWarning: Objective did not converge, you might want to increase the number of iterations
warnings.warn('Objective did not converge, you might want'
ok
sklearn.tests.test_common.test_non_meta_estimators('MultiTaskLasso', <class 'sklearn.linear_model.coordinate_descent.MultiTaskLasso'>) ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/coordinate_descent.py:1687: UserWarning: Objective did not converge, you might want to increase the number of iterations
warnings.warn('Objective did not converge, you might want'
ok
sklearn.tests.test_common.test_non_meta_estimators('MultiTaskLasso', <class 'sklearn.linear_model.coordinate_descent.MultiTaskLasso'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('MultiTaskLasso', <class 'sklearn.linear_model.coordinate_descent.MultiTaskLasso'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('MultiTaskLasso', <class 'sklearn.linear_model.coordinate_descent.MultiTaskLasso'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('MultiTaskLasso', <class 'sklearn.linear_model.coordinate_descent.MultiTaskLasso'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('MultiTaskLasso', <class 'sklearn.linear_model.coordinate_descent.MultiTaskLasso'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('MultiTaskLasso', <class 'sklearn.linear_model.coordinate_descent.MultiTaskLasso'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('MultiTaskLasso', <class 'sklearn.linear_model.coordinate_descent.MultiTaskLasso'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('MultiTaskLasso', <class 'sklearn.linear_model.coordinate_descent.MultiTaskLasso'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('MultiTaskLasso', <class 'sklearn.linear_model.coordinate_descent.MultiTaskLasso'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('MultiTaskLasso', <class 'sklearn.linear_model.coordinate_descent.MultiTaskLasso'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('MultiTaskLassoCV', <class 'sklearn.linear_model.coordinate_descent.MultiTaskLassoCV'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('MultiTaskLassoCV', <class 'sklearn.linear_model.coordinate_descent.MultiTaskLassoCV'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('MultiTaskLassoCV', <class 'sklearn.linear_model.coordinate_descent.MultiTaskLassoCV'>) ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/coordinate_descent.py:1687: UserWarning: Objective did not converge, you might want to increase the number of iterations
warnings.warn('Objective did not converge, you might want'
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/coordinate_descent.py:1687: UserWarning: Objective did not converge, you might want to increase the number of iterations
warnings.warn('Objective did not converge, you might want'
ok
sklearn.tests.test_common.test_non_meta_estimators('MultiTaskLassoCV', <class 'sklearn.linear_model.coordinate_descent.MultiTaskLassoCV'>) ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/coordinate_descent.py:1687: UserWarning: Objective did not converge, you might want to increase the number of iterations
warnings.warn('Objective did not converge, you might want'
ok
sklearn.tests.test_common.test_non_meta_estimators('MultiTaskLassoCV', <class 'sklearn.linear_model.coordinate_descent.MultiTaskLassoCV'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('MultiTaskLassoCV', <class 'sklearn.linear_model.coordinate_descent.MultiTaskLassoCV'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('MultiTaskLassoCV', <class 'sklearn.linear_model.coordinate_descent.MultiTaskLassoCV'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('MultiTaskLassoCV', <class 'sklearn.linear_model.coordinate_descent.MultiTaskLassoCV'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('MultiTaskLassoCV', <class 'sklearn.linear_model.coordinate_descent.MultiTaskLassoCV'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('MultiTaskLassoCV', <class 'sklearn.linear_model.coordinate_descent.MultiTaskLassoCV'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('MultiTaskLassoCV', <class 'sklearn.linear_model.coordinate_descent.MultiTaskLassoCV'>) ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/coordinate_descent.py:1687: UserWarning: Objective did not converge, you might want to increase the number of iterations
warnings.warn('Objective did not converge, you might want'
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/coordinate_descent.py:1687: UserWarning: Objective did not converge, you might want to increase the number of iterations
warnings.warn('Objective did not converge, you might want'
ok
sklearn.tests.test_common.test_non_meta_estimators('MultiTaskLassoCV', <class 'sklearn.linear_model.coordinate_descent.MultiTaskLassoCV'>) ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/coordinate_descent.py:1687: UserWarning: Objective did not converge, you might want to increase the number of iterations
warnings.warn('Objective did not converge, you might want'
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/coordinate_descent.py:1687: UserWarning: Objective did not converge, you might want to increase the number of iterations
warnings.warn('Objective did not converge, you might want'
ok
sklearn.tests.test_common.test_non_meta_estimators('MultiTaskLassoCV', <class 'sklearn.linear_model.coordinate_descent.MultiTaskLassoCV'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('MultiTaskLassoCV', <class 'sklearn.linear_model.coordinate_descent.MultiTaskLassoCV'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('MultiTaskLassoCV', <class 'sklearn.linear_model.coordinate_descent.MultiTaskLassoCV'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('MultiTaskLassoCV', <class 'sklearn.linear_model.coordinate_descent.MultiTaskLassoCV'>) ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/coordinate_descent.py:1687: UserWarning: Objective did not converge, you might want to increase the number of iterations
warnings.warn('Objective did not converge, you might want'
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/coordinate_descent.py:1687: UserWarning: Objective did not converge, you might want to increase the number of iterations
warnings.warn('Objective did not converge, you might want'
ok
sklearn.tests.test_common.test_non_meta_estimators('MultiTaskLassoCV', <class 'sklearn.linear_model.coordinate_descent.MultiTaskLassoCV'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('MultiTaskLassoCV', <class 'sklearn.linear_model.coordinate_descent.MultiTaskLassoCV'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('MultiTaskLassoCV', <class 'sklearn.linear_model.coordinate_descent.MultiTaskLassoCV'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('MultiTaskLassoCV', <class 'sklearn.linear_model.coordinate_descent.MultiTaskLassoCV'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('MultiTaskLassoCV', <class 'sklearn.linear_model.coordinate_descent.MultiTaskLassoCV'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('MultiTaskLassoCV', <class 'sklearn.linear_model.coordinate_descent.MultiTaskLassoCV'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('MultinomialNB', <class 'sklearn.naive_bayes.MultinomialNB'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('MultinomialNB', <class 'sklearn.naive_bayes.MultinomialNB'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('MultinomialNB', <class 'sklearn.naive_bayes.MultinomialNB'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('MultinomialNB', <class 'sklearn.naive_bayes.MultinomialNB'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('MultinomialNB', <class 'sklearn.naive_bayes.MultinomialNB'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('MultinomialNB', <class 'sklearn.naive_bayes.MultinomialNB'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('MultinomialNB', <class 'sklearn.naive_bayes.MultinomialNB'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('MultinomialNB', <class 'sklearn.naive_bayes.MultinomialNB'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('MultinomialNB', <class 'sklearn.naive_bayes.MultinomialNB'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('MultinomialNB', <class 'sklearn.naive_bayes.MultinomialNB'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('MultinomialNB', <class 'sklearn.naive_bayes.MultinomialNB'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('MultinomialNB', <class 'sklearn.naive_bayes.MultinomialNB'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('MultinomialNB', <class 'sklearn.naive_bayes.MultinomialNB'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('MultinomialNB', <class 'sklearn.naive_bayes.MultinomialNB'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('MultinomialNB', <class 'sklearn.naive_bayes.MultinomialNB'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('MultinomialNB', <class 'sklearn.naive_bayes.MultinomialNB'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('MultinomialNB', <class 'sklearn.naive_bayes.MultinomialNB'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('MultinomialNB', <class 'sklearn.naive_bayes.MultinomialNB'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('MultinomialNB', <class 'sklearn.naive_bayes.MultinomialNB'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('MultinomialNB', <class 'sklearn.naive_bayes.MultinomialNB'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('MultinomialNB', <class 'sklearn.naive_bayes.MultinomialNB'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('MultinomialNB', <class 'sklearn.naive_bayes.MultinomialNB'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('NMF', <class 'sklearn.decomposition.nmf.NMF'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('NMF', <class 'sklearn.decomposition.nmf.NMF'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('NMF', <class 'sklearn.decomposition.nmf.NMF'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('NMF', <class 'sklearn.decomposition.nmf.NMF'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('NMF', <class 'sklearn.decomposition.nmf.NMF'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('NMF', <class 'sklearn.decomposition.nmf.NMF'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('NMF', <class 'sklearn.decomposition.nmf.NMF'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('NMF', <class 'sklearn.decomposition.nmf.NMF'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('NMF', <class 'sklearn.decomposition.nmf.NMF'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('NMF', <class 'sklearn.decomposition.nmf.NMF'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('NMF', <class 'sklearn.decomposition.nmf.NMF'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('NMF', <class 'sklearn.decomposition.nmf.NMF'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('NMF', <class 'sklearn.decomposition.nmf.NMF'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('NMF', <class 'sklearn.decomposition.nmf.NMF'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('NMF', <class 'sklearn.decomposition.nmf.NMF'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('NMF', <class 'sklearn.decomposition.nmf.NMF'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('NMF', <class 'sklearn.decomposition.nmf.NMF'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('NMF', <class 'sklearn.decomposition.nmf.NMF'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('NearestCentroid', <class 'sklearn.neighbors.nearest_centroid.NearestCentroid'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('NearestCentroid', <class 'sklearn.neighbors.nearest_centroid.NearestCentroid'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('NearestCentroid', <class 'sklearn.neighbors.nearest_centroid.NearestCentroid'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('NearestCentroid', <class 'sklearn.neighbors.nearest_centroid.NearestCentroid'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('NearestCentroid', <class 'sklearn.neighbors.nearest_centroid.NearestCentroid'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('NearestCentroid', <class 'sklearn.neighbors.nearest_centroid.NearestCentroid'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('NearestCentroid', <class 'sklearn.neighbors.nearest_centroid.NearestCentroid'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('NearestCentroid', <class 'sklearn.neighbors.nearest_centroid.NearestCentroid'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('NearestCentroid', <class 'sklearn.neighbors.nearest_centroid.NearestCentroid'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('NearestCentroid', <class 'sklearn.neighbors.nearest_centroid.NearestCentroid'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('NearestCentroid', <class 'sklearn.neighbors.nearest_centroid.NearestCentroid'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('NearestCentroid', <class 'sklearn.neighbors.nearest_centroid.NearestCentroid'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('NearestCentroid', <class 'sklearn.neighbors.nearest_centroid.NearestCentroid'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('NearestCentroid', <class 'sklearn.neighbors.nearest_centroid.NearestCentroid'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('NearestCentroid', <class 'sklearn.neighbors.nearest_centroid.NearestCentroid'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('NearestCentroid', <class 'sklearn.neighbors.nearest_centroid.NearestCentroid'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('NearestCentroid', <class 'sklearn.neighbors.nearest_centroid.NearestCentroid'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('NearestCentroid', <class 'sklearn.neighbors.nearest_centroid.NearestCentroid'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('NearestCentroid', <class 'sklearn.neighbors.nearest_centroid.NearestCentroid'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('NearestCentroid', <class 'sklearn.neighbors.nearest_centroid.NearestCentroid'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('NearestCentroid', <class 'sklearn.neighbors.nearest_centroid.NearestCentroid'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('NearestCentroid', <class 'sklearn.neighbors.nearest_centroid.NearestCentroid'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('NearestCentroid', <class 'sklearn.neighbors.nearest_centroid.NearestCentroid'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('NearestNeighbors', <class 'sklearn.neighbors.unsupervised.NearestNeighbors'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('NearestNeighbors', <class 'sklearn.neighbors.unsupervised.NearestNeighbors'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('NearestNeighbors', <class 'sklearn.neighbors.unsupervised.NearestNeighbors'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('NearestNeighbors', <class 'sklearn.neighbors.unsupervised.NearestNeighbors'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('NearestNeighbors', <class 'sklearn.neighbors.unsupervised.NearestNeighbors'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('NearestNeighbors', <class 'sklearn.neighbors.unsupervised.NearestNeighbors'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('NearestNeighbors', <class 'sklearn.neighbors.unsupervised.NearestNeighbors'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('NearestNeighbors', <class 'sklearn.neighbors.unsupervised.NearestNeighbors'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('NearestNeighbors', <class 'sklearn.neighbors.unsupervised.NearestNeighbors'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('NearestNeighbors', <class 'sklearn.neighbors.unsupervised.NearestNeighbors'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('NearestNeighbors', <class 'sklearn.neighbors.unsupervised.NearestNeighbors'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('NearestNeighbors', <class 'sklearn.neighbors.unsupervised.NearestNeighbors'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('NearestNeighbors', <class 'sklearn.neighbors.unsupervised.NearestNeighbors'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('NearestNeighbors', <class 'sklearn.neighbors.unsupervised.NearestNeighbors'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('NearestNeighbors', <class 'sklearn.neighbors.unsupervised.NearestNeighbors'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('Normalizer', <class 'sklearn.preprocessing.data.Normalizer'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('Normalizer', <class 'sklearn.preprocessing.data.Normalizer'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('Normalizer', <class 'sklearn.preprocessing.data.Normalizer'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('Normalizer', <class 'sklearn.preprocessing.data.Normalizer'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('Normalizer', <class 'sklearn.preprocessing.data.Normalizer'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('Normalizer', <class 'sklearn.preprocessing.data.Normalizer'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('Normalizer', <class 'sklearn.preprocessing.data.Normalizer'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('Normalizer', <class 'sklearn.preprocessing.data.Normalizer'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('Normalizer', <class 'sklearn.preprocessing.data.Normalizer'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('Normalizer', <class 'sklearn.preprocessing.data.Normalizer'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('Normalizer', <class 'sklearn.preprocessing.data.Normalizer'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('Normalizer', <class 'sklearn.preprocessing.data.Normalizer'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('Normalizer', <class 'sklearn.preprocessing.data.Normalizer'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('Normalizer', <class 'sklearn.preprocessing.data.Normalizer'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('Normalizer', <class 'sklearn.preprocessing.data.Normalizer'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('NuSVC', <class 'sklearn.svm.classes.NuSVC'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('NuSVC', <class 'sklearn.svm.classes.NuSVC'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('NuSVC', <class 'sklearn.svm.classes.NuSVC'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('NuSVC', <class 'sklearn.svm.classes.NuSVC'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('NuSVC', <class 'sklearn.svm.classes.NuSVC'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('NuSVC', <class 'sklearn.svm.classes.NuSVC'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('NuSVC', <class 'sklearn.svm.classes.NuSVC'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('NuSVC', <class 'sklearn.svm.classes.NuSVC'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('NuSVC', <class 'sklearn.svm.classes.NuSVC'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('NuSVC', <class 'sklearn.svm.classes.NuSVC'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('NuSVC', <class 'sklearn.svm.classes.NuSVC'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('NuSVC', <class 'sklearn.svm.classes.NuSVC'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('NuSVC', <class 'sklearn.svm.classes.NuSVC'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('NuSVC', <class 'sklearn.svm.classes.NuSVC'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('NuSVC', <class 'sklearn.svm.classes.NuSVC'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('NuSVC', <class 'sklearn.svm.classes.NuSVC'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('NuSVC', <class 'sklearn.svm.classes.NuSVC'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('NuSVC', <class 'sklearn.svm.classes.NuSVC'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('NuSVC', <class 'sklearn.svm.classes.NuSVC'>) ... SKIP
sklearn.tests.test_common.test_non_meta_estimators('NuSVC', <class 'sklearn.svm.classes.NuSVC'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('NuSVC', <class 'sklearn.svm.classes.NuSVC'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('NuSVC', <class 'sklearn.svm.classes.NuSVC'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('NuSVC', <class 'sklearn.svm.classes.NuSVC'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('NuSVC', <class 'sklearn.svm.classes.NuSVC'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('NuSVR', <class 'sklearn.svm.classes.NuSVR'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('NuSVR', <class 'sklearn.svm.classes.NuSVR'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('NuSVR', <class 'sklearn.svm.classes.NuSVR'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('NuSVR', <class 'sklearn.svm.classes.NuSVR'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('NuSVR', <class 'sklearn.svm.classes.NuSVR'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('NuSVR', <class 'sklearn.svm.classes.NuSVR'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('NuSVR', <class 'sklearn.svm.classes.NuSVR'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('NuSVR', <class 'sklearn.svm.classes.NuSVR'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('NuSVR', <class 'sklearn.svm.classes.NuSVR'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('NuSVR', <class 'sklearn.svm.classes.NuSVR'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('NuSVR', <class 'sklearn.svm.classes.NuSVR'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('NuSVR', <class 'sklearn.svm.classes.NuSVR'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('NuSVR', <class 'sklearn.svm.classes.NuSVR'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('NuSVR', <class 'sklearn.svm.classes.NuSVR'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('NuSVR', <class 'sklearn.svm.classes.NuSVR'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('NuSVR', <class 'sklearn.svm.classes.NuSVR'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('NuSVR', <class 'sklearn.svm.classes.NuSVR'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('NuSVR', <class 'sklearn.svm.classes.NuSVR'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('NuSVR', <class 'sklearn.svm.classes.NuSVR'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('NuSVR', <class 'sklearn.svm.classes.NuSVR'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('NuSVR', <class 'sklearn.svm.classes.NuSVR'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('NuSVR', <class 'sklearn.svm.classes.NuSVR'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('Nystroem', <class 'sklearn.kernel_approximation.Nystroem'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('Nystroem', <class 'sklearn.kernel_approximation.Nystroem'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('Nystroem', <class 'sklearn.kernel_approximation.Nystroem'>) ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/kernel_approximation.py:463: 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
sklearn.tests.test_common.test_non_meta_estimators('Nystroem', <class 'sklearn.kernel_approximation.Nystroem'>) ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/kernel_approximation.py:463: 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
sklearn.tests.test_common.test_non_meta_estimators('Nystroem', <class 'sklearn.kernel_approximation.Nystroem'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('Nystroem', <class 'sklearn.kernel_approximation.Nystroem'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('Nystroem', <class 'sklearn.kernel_approximation.Nystroem'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('Nystroem', <class 'sklearn.kernel_approximation.Nystroem'>) ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/kernel_approximation.py:463: 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
sklearn.tests.test_common.test_non_meta_estimators('Nystroem', <class 'sklearn.kernel_approximation.Nystroem'>) ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/kernel_approximation.py:463: 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:463: 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:463: 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:463: 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:463: 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:463: 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:463: 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
sklearn.tests.test_common.test_non_meta_estimators('Nystroem', <class 'sklearn.kernel_approximation.Nystroem'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('Nystroem', <class 'sklearn.kernel_approximation.Nystroem'>) ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/kernel_approximation.py:463: 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:463: 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
sklearn.tests.test_common.test_non_meta_estimators('Nystroem', <class 'sklearn.kernel_approximation.Nystroem'>) ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/kernel_approximation.py:463: 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:463: 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:463: 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:463: 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
sklearn.tests.test_common.test_non_meta_estimators('Nystroem', <class 'sklearn.kernel_approximation.Nystroem'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('Nystroem', <class 'sklearn.kernel_approximation.Nystroem'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('Nystroem', <class 'sklearn.kernel_approximation.Nystroem'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('Nystroem', <class 'sklearn.kernel_approximation.Nystroem'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('Nystroem', <class 'sklearn.kernel_approximation.Nystroem'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('Nystroem', <class 'sklearn.kernel_approximation.Nystroem'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('OAS', <class 'sklearn.covariance.shrunk_covariance_.OAS'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('OAS', <class 'sklearn.covariance.shrunk_covariance_.OAS'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('OAS', <class 'sklearn.covariance.shrunk_covariance_.OAS'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('OAS', <class 'sklearn.covariance.shrunk_covariance_.OAS'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('OAS', <class 'sklearn.covariance.shrunk_covariance_.OAS'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('OAS', <class 'sklearn.covariance.shrunk_covariance_.OAS'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('OAS', <class 'sklearn.covariance.shrunk_covariance_.OAS'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('OAS', <class 'sklearn.covariance.shrunk_covariance_.OAS'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('OAS', <class 'sklearn.covariance.shrunk_covariance_.OAS'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('OAS', <class 'sklearn.covariance.shrunk_covariance_.OAS'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('OAS', <class 'sklearn.covariance.shrunk_covariance_.OAS'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('OAS', <class 'sklearn.covariance.shrunk_covariance_.OAS'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('OAS', <class 'sklearn.covariance.shrunk_covariance_.OAS'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('OAS', <class 'sklearn.covariance.shrunk_covariance_.OAS'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('OAS', <class 'sklearn.covariance.shrunk_covariance_.OAS'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('OneClassSVM', <class 'sklearn.svm.classes.OneClassSVM'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('OneClassSVM', <class 'sklearn.svm.classes.OneClassSVM'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('OneClassSVM', <class 'sklearn.svm.classes.OneClassSVM'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('OneClassSVM', <class 'sklearn.svm.classes.OneClassSVM'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('OneClassSVM', <class 'sklearn.svm.classes.OneClassSVM'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('OneClassSVM', <class 'sklearn.svm.classes.OneClassSVM'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('OneClassSVM', <class 'sklearn.svm.classes.OneClassSVM'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('OneClassSVM', <class 'sklearn.svm.classes.OneClassSVM'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('OneClassSVM', <class 'sklearn.svm.classes.OneClassSVM'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('OneClassSVM', <class 'sklearn.svm.classes.OneClassSVM'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('OneClassSVM', <class 'sklearn.svm.classes.OneClassSVM'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('OneClassSVM', <class 'sklearn.svm.classes.OneClassSVM'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('OneClassSVM', <class 'sklearn.svm.classes.OneClassSVM'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('OneClassSVM', <class 'sklearn.svm.classes.OneClassSVM'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('OneClassSVM', <class 'sklearn.svm.classes.OneClassSVM'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('OrthogonalMatchingPursuit', <class 'sklearn.linear_model.omp.OrthogonalMatchingPursuit'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('OrthogonalMatchingPursuit', <class 'sklearn.linear_model.omp.OrthogonalMatchingPursuit'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('OrthogonalMatchingPursuit', <class 'sklearn.linear_model.omp.OrthogonalMatchingPursuit'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('OrthogonalMatchingPursuit', <class 'sklearn.linear_model.omp.OrthogonalMatchingPursuit'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('OrthogonalMatchingPursuit', <class 'sklearn.linear_model.omp.OrthogonalMatchingPursuit'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('OrthogonalMatchingPursuit', <class 'sklearn.linear_model.omp.OrthogonalMatchingPursuit'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('OrthogonalMatchingPursuit', <class 'sklearn.linear_model.omp.OrthogonalMatchingPursuit'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('OrthogonalMatchingPursuit', <class 'sklearn.linear_model.omp.OrthogonalMatchingPursuit'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('OrthogonalMatchingPursuit', <class 'sklearn.linear_model.omp.OrthogonalMatchingPursuit'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('OrthogonalMatchingPursuit', <class 'sklearn.linear_model.omp.OrthogonalMatchingPursuit'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('OrthogonalMatchingPursuit', <class 'sklearn.linear_model.omp.OrthogonalMatchingPursuit'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('OrthogonalMatchingPursuit', <class 'sklearn.linear_model.omp.OrthogonalMatchingPursuit'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('OrthogonalMatchingPursuit', <class 'sklearn.linear_model.omp.OrthogonalMatchingPursuit'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('OrthogonalMatchingPursuit', <class 'sklearn.linear_model.omp.OrthogonalMatchingPursuit'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('OrthogonalMatchingPursuit', <class 'sklearn.linear_model.omp.OrthogonalMatchingPursuit'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('OrthogonalMatchingPursuit', <class 'sklearn.linear_model.omp.OrthogonalMatchingPursuit'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('OrthogonalMatchingPursuit', <class 'sklearn.linear_model.omp.OrthogonalMatchingPursuit'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('OrthogonalMatchingPursuit', <class 'sklearn.linear_model.omp.OrthogonalMatchingPursuit'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('OrthogonalMatchingPursuit', <class 'sklearn.linear_model.omp.OrthogonalMatchingPursuit'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('OrthogonalMatchingPursuit', <class 'sklearn.linear_model.omp.OrthogonalMatchingPursuit'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('OrthogonalMatchingPursuit', <class 'sklearn.linear_model.omp.OrthogonalMatchingPursuit'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('OrthogonalMatchingPursuit', <class 'sklearn.linear_model.omp.OrthogonalMatchingPursuit'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('OrthogonalMatchingPursuitCV', <class 'sklearn.linear_model.omp.OrthogonalMatchingPursuitCV'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('OrthogonalMatchingPursuitCV', <class 'sklearn.linear_model.omp.OrthogonalMatchingPursuitCV'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('OrthogonalMatchingPursuitCV', <class 'sklearn.linear_model.omp.OrthogonalMatchingPursuitCV'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('OrthogonalMatchingPursuitCV', <class 'sklearn.linear_model.omp.OrthogonalMatchingPursuitCV'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('OrthogonalMatchingPursuitCV', <class 'sklearn.linear_model.omp.OrthogonalMatchingPursuitCV'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('OrthogonalMatchingPursuitCV', <class 'sklearn.linear_model.omp.OrthogonalMatchingPursuitCV'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('OrthogonalMatchingPursuitCV', <class 'sklearn.linear_model.omp.OrthogonalMatchingPursuitCV'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('OrthogonalMatchingPursuitCV', <class 'sklearn.linear_model.omp.OrthogonalMatchingPursuitCV'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('OrthogonalMatchingPursuitCV', <class 'sklearn.linear_model.omp.OrthogonalMatchingPursuitCV'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('OrthogonalMatchingPursuitCV', <class 'sklearn.linear_model.omp.OrthogonalMatchingPursuitCV'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('OrthogonalMatchingPursuitCV', <class 'sklearn.linear_model.omp.OrthogonalMatchingPursuitCV'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('OrthogonalMatchingPursuitCV', <class 'sklearn.linear_model.omp.OrthogonalMatchingPursuitCV'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('OrthogonalMatchingPursuitCV', <class 'sklearn.linear_model.omp.OrthogonalMatchingPursuitCV'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('OrthogonalMatchingPursuitCV', <class 'sklearn.linear_model.omp.OrthogonalMatchingPursuitCV'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('OrthogonalMatchingPursuitCV', <class 'sklearn.linear_model.omp.OrthogonalMatchingPursuitCV'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('OrthogonalMatchingPursuitCV', <class 'sklearn.linear_model.omp.OrthogonalMatchingPursuitCV'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('OrthogonalMatchingPursuitCV', <class 'sklearn.linear_model.omp.OrthogonalMatchingPursuitCV'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('OrthogonalMatchingPursuitCV', <class 'sklearn.linear_model.omp.OrthogonalMatchingPursuitCV'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('OrthogonalMatchingPursuitCV', <class 'sklearn.linear_model.omp.OrthogonalMatchingPursuitCV'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('OrthogonalMatchingPursuitCV', <class 'sklearn.linear_model.omp.OrthogonalMatchingPursuitCV'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('OrthogonalMatchingPursuitCV', <class 'sklearn.linear_model.omp.OrthogonalMatchingPursuitCV'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('OrthogonalMatchingPursuitCV', <class 'sklearn.linear_model.omp.OrthogonalMatchingPursuitCV'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('PCA', <class 'sklearn.decomposition.pca.PCA'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('PCA', <class 'sklearn.decomposition.pca.PCA'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('PCA', <class 'sklearn.decomposition.pca.PCA'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('PCA', <class 'sklearn.decomposition.pca.PCA'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('PCA', <class 'sklearn.decomposition.pca.PCA'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('PCA', <class 'sklearn.decomposition.pca.PCA'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('PCA', <class 'sklearn.decomposition.pca.PCA'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('PCA', <class 'sklearn.decomposition.pca.PCA'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('PCA', <class 'sklearn.decomposition.pca.PCA'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('PCA', <class 'sklearn.decomposition.pca.PCA'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('PCA', <class 'sklearn.decomposition.pca.PCA'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('PCA', <class 'sklearn.decomposition.pca.PCA'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('PCA', <class 'sklearn.decomposition.pca.PCA'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('PCA', <class 'sklearn.decomposition.pca.PCA'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('PCA', <class 'sklearn.decomposition.pca.PCA'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('PCA', <class 'sklearn.decomposition.pca.PCA'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('PCA', <class 'sklearn.decomposition.pca.PCA'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('PCA', <class 'sklearn.decomposition.pca.PCA'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('PLSCanonical', <class 'sklearn.cross_decomposition.pls_.PLSCanonical'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('PLSCanonical', <class 'sklearn.cross_decomposition.pls_.PLSCanonical'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('PLSCanonical', <class 'sklearn.cross_decomposition.pls_.PLSCanonical'>) ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cross_decomposition/pls_.py:288: UserWarning: Y residual constant at iteration 1
warnings.warn('Y residual constant at iteration %s' % k)
ok
sklearn.tests.test_common.test_non_meta_estimators('PLSCanonical', <class 'sklearn.cross_decomposition.pls_.PLSCanonical'>) ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cross_decomposition/pls_.py:288: UserWarning: Y residual constant at iteration 1
warnings.warn('Y residual constant at iteration %s' % k)
ok
sklearn.tests.test_common.test_non_meta_estimators('PLSCanonical', <class 'sklearn.cross_decomposition.pls_.PLSCanonical'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('PLSCanonical', <class 'sklearn.cross_decomposition.pls_.PLSCanonical'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('PLSCanonical', <class 'sklearn.cross_decomposition.pls_.PLSCanonical'>) ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cross_decomposition/pls_.py:288: UserWarning: Y residual constant at iteration 1
warnings.warn('Y residual constant at iteration %s' % k)
ok
sklearn.tests.test_common.test_non_meta_estimators('PLSCanonical', <class 'sklearn.cross_decomposition.pls_.PLSCanonical'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('PLSCanonical', <class 'sklearn.cross_decomposition.pls_.PLSCanonical'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('PLSCanonical', <class 'sklearn.cross_decomposition.pls_.PLSCanonical'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('PLSCanonical', <class 'sklearn.cross_decomposition.pls_.PLSCanonical'>) ... SKIP
sklearn.tests.test_common.test_non_meta_estimators('PLSCanonical', <class 'sklearn.cross_decomposition.pls_.PLSCanonical'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('PLSCanonical', <class 'sklearn.cross_decomposition.pls_.PLSCanonical'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('PLSCanonical', <class 'sklearn.cross_decomposition.pls_.PLSCanonical'>) ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cross_decomposition/pls_.py:288: UserWarning: Y residual constant at iteration 1
warnings.warn('Y residual constant at iteration %s' % k)
ok
sklearn.tests.test_common.test_non_meta_estimators('PLSCanonical', <class 'sklearn.cross_decomposition.pls_.PLSCanonical'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('PLSCanonical', <class 'sklearn.cross_decomposition.pls_.PLSCanonical'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('PLSCanonical', <class 'sklearn.cross_decomposition.pls_.PLSCanonical'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('PLSCanonical', <class 'sklearn.cross_decomposition.pls_.PLSCanonical'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('PLSCanonical', <class 'sklearn.cross_decomposition.pls_.PLSCanonical'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('PLSCanonical', <class 'sklearn.cross_decomposition.pls_.PLSCanonical'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('PLSCanonical', <class 'sklearn.cross_decomposition.pls_.PLSCanonical'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('PLSCanonical', <class 'sklearn.cross_decomposition.pls_.PLSCanonical'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('PLSCanonical', <class 'sklearn.cross_decomposition.pls_.PLSCanonical'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('PLSRegression', <class 'sklearn.cross_decomposition.pls_.PLSRegression'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('PLSRegression', <class 'sklearn.cross_decomposition.pls_.PLSRegression'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('PLSRegression', <class 'sklearn.cross_decomposition.pls_.PLSRegression'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('PLSRegression', <class 'sklearn.cross_decomposition.pls_.PLSRegression'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('PLSRegression', <class 'sklearn.cross_decomposition.pls_.PLSRegression'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('PLSRegression', <class 'sklearn.cross_decomposition.pls_.PLSRegression'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('PLSRegression', <class 'sklearn.cross_decomposition.pls_.PLSRegression'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('PLSRegression', <class 'sklearn.cross_decomposition.pls_.PLSRegression'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('PLSRegression', <class 'sklearn.cross_decomposition.pls_.PLSRegression'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('PLSRegression', <class 'sklearn.cross_decomposition.pls_.PLSRegression'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('PLSRegression', <class 'sklearn.cross_decomposition.pls_.PLSRegression'>) ... SKIP
sklearn.tests.test_common.test_non_meta_estimators('PLSRegression', <class 'sklearn.cross_decomposition.pls_.PLSRegression'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('PLSRegression', <class 'sklearn.cross_decomposition.pls_.PLSRegression'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('PLSRegression', <class 'sklearn.cross_decomposition.pls_.PLSRegression'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('PLSRegression', <class 'sklearn.cross_decomposition.pls_.PLSRegression'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('PLSRegression', <class 'sklearn.cross_decomposition.pls_.PLSRegression'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('PLSRegression', <class 'sklearn.cross_decomposition.pls_.PLSRegression'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('PLSRegression', <class 'sklearn.cross_decomposition.pls_.PLSRegression'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('PLSRegression', <class 'sklearn.cross_decomposition.pls_.PLSRegression'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('PLSRegression', <class 'sklearn.cross_decomposition.pls_.PLSRegression'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('PLSRegression', <class 'sklearn.cross_decomposition.pls_.PLSRegression'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('PLSRegression', <class 'sklearn.cross_decomposition.pls_.PLSRegression'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('PLSRegression', <class 'sklearn.cross_decomposition.pls_.PLSRegression'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('PLSSVD', <class 'sklearn.cross_decomposition.pls_.PLSSVD'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('PLSSVD', <class 'sklearn.cross_decomposition.pls_.PLSSVD'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('PLSSVD', <class 'sklearn.cross_decomposition.pls_.PLSSVD'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('PLSSVD', <class 'sklearn.cross_decomposition.pls_.PLSSVD'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('PLSSVD', <class 'sklearn.cross_decomposition.pls_.PLSSVD'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('PLSSVD', <class 'sklearn.cross_decomposition.pls_.PLSSVD'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('PLSSVD', <class 'sklearn.cross_decomposition.pls_.PLSSVD'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('PLSSVD', <class 'sklearn.cross_decomposition.pls_.PLSSVD'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('PLSSVD', <class 'sklearn.cross_decomposition.pls_.PLSSVD'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('PLSSVD', <class 'sklearn.cross_decomposition.pls_.PLSSVD'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('PLSSVD', <class 'sklearn.cross_decomposition.pls_.PLSSVD'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('PLSSVD', <class 'sklearn.cross_decomposition.pls_.PLSSVD'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('PLSSVD', <class 'sklearn.cross_decomposition.pls_.PLSSVD'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('PLSSVD', <class 'sklearn.cross_decomposition.pls_.PLSSVD'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('PLSSVD', <class 'sklearn.cross_decomposition.pls_.PLSSVD'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('PLSSVD', <class 'sklearn.cross_decomposition.pls_.PLSSVD'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('PassiveAggressiveClassifier', <class 'sklearn.linear_model.passive_aggressive.PassiveAggressiveClassifier'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('PassiveAggressiveClassifier', <class 'sklearn.linear_model.passive_aggressive.PassiveAggressiveClassifier'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('PassiveAggressiveClassifier', <class 'sklearn.linear_model.passive_aggressive.PassiveAggressiveClassifier'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('PassiveAggressiveClassifier', <class 'sklearn.linear_model.passive_aggressive.PassiveAggressiveClassifier'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('PassiveAggressiveClassifier', <class 'sklearn.linear_model.passive_aggressive.PassiveAggressiveClassifier'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('PassiveAggressiveClassifier', <class 'sklearn.linear_model.passive_aggressive.PassiveAggressiveClassifier'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('PassiveAggressiveClassifier', <class 'sklearn.linear_model.passive_aggressive.PassiveAggressiveClassifier'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('PassiveAggressiveClassifier', <class 'sklearn.linear_model.passive_aggressive.PassiveAggressiveClassifier'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('PassiveAggressiveClassifier', <class 'sklearn.linear_model.passive_aggressive.PassiveAggressiveClassifier'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('PassiveAggressiveClassifier', <class 'sklearn.linear_model.passive_aggressive.PassiveAggressiveClassifier'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('PassiveAggressiveClassifier', <class 'sklearn.linear_model.passive_aggressive.PassiveAggressiveClassifier'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('PassiveAggressiveClassifier', <class 'sklearn.linear_model.passive_aggressive.PassiveAggressiveClassifier'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('PassiveAggressiveClassifier', <class 'sklearn.linear_model.passive_aggressive.PassiveAggressiveClassifier'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('PassiveAggressiveClassifier', <class 'sklearn.linear_model.passive_aggressive.PassiveAggressiveClassifier'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('PassiveAggressiveClassifier', <class 'sklearn.linear_model.passive_aggressive.PassiveAggressiveClassifier'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('PassiveAggressiveClassifier', <class 'sklearn.linear_model.passive_aggressive.PassiveAggressiveClassifier'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('PassiveAggressiveClassifier', <class 'sklearn.linear_model.passive_aggressive.PassiveAggressiveClassifier'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('PassiveAggressiveClassifier', <class 'sklearn.linear_model.passive_aggressive.PassiveAggressiveClassifier'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('PassiveAggressiveClassifier', <class 'sklearn.linear_model.passive_aggressive.PassiveAggressiveClassifier'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('PassiveAggressiveClassifier', <class 'sklearn.linear_model.passive_aggressive.PassiveAggressiveClassifier'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('PassiveAggressiveClassifier', <class 'sklearn.linear_model.passive_aggressive.PassiveAggressiveClassifier'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('PassiveAggressiveClassifier', <class 'sklearn.linear_model.passive_aggressive.PassiveAggressiveClassifier'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('PassiveAggressiveClassifier', <class 'sklearn.linear_model.passive_aggressive.PassiveAggressiveClassifier'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('PassiveAggressiveClassifier', <class 'sklearn.linear_model.passive_aggressive.PassiveAggressiveClassifier'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('PassiveAggressiveClassifier', <class 'sklearn.linear_model.passive_aggressive.PassiveAggressiveClassifier'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('PassiveAggressiveRegressor', <class 'sklearn.linear_model.passive_aggressive.PassiveAggressiveRegressor'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('PassiveAggressiveRegressor', <class 'sklearn.linear_model.passive_aggressive.PassiveAggressiveRegressor'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('PassiveAggressiveRegressor', <class 'sklearn.linear_model.passive_aggressive.PassiveAggressiveRegressor'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('PassiveAggressiveRegressor', <class 'sklearn.linear_model.passive_aggressive.PassiveAggressiveRegressor'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('PassiveAggressiveRegressor', <class 'sklearn.linear_model.passive_aggressive.PassiveAggressiveRegressor'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('PassiveAggressiveRegressor', <class 'sklearn.linear_model.passive_aggressive.PassiveAggressiveRegressor'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('PassiveAggressiveRegressor', <class 'sklearn.linear_model.passive_aggressive.PassiveAggressiveRegressor'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('PassiveAggressiveRegressor', <class 'sklearn.linear_model.passive_aggressive.PassiveAggressiveRegressor'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('PassiveAggressiveRegressor', <class 'sklearn.linear_model.passive_aggressive.PassiveAggressiveRegressor'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('PassiveAggressiveRegressor', <class 'sklearn.linear_model.passive_aggressive.PassiveAggressiveRegressor'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('PassiveAggressiveRegressor', <class 'sklearn.linear_model.passive_aggressive.PassiveAggressiveRegressor'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('PassiveAggressiveRegressor', <class 'sklearn.linear_model.passive_aggressive.PassiveAggressiveRegressor'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('PassiveAggressiveRegressor', <class 'sklearn.linear_model.passive_aggressive.PassiveAggressiveRegressor'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('PassiveAggressiveRegressor', <class 'sklearn.linear_model.passive_aggressive.PassiveAggressiveRegressor'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('PassiveAggressiveRegressor', <class 'sklearn.linear_model.passive_aggressive.PassiveAggressiveRegressor'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('PassiveAggressiveRegressor', <class 'sklearn.linear_model.passive_aggressive.PassiveAggressiveRegressor'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('PassiveAggressiveRegressor', <class 'sklearn.linear_model.passive_aggressive.PassiveAggressiveRegressor'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('PassiveAggressiveRegressor', <class 'sklearn.linear_model.passive_aggressive.PassiveAggressiveRegressor'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('PassiveAggressiveRegressor', <class 'sklearn.linear_model.passive_aggressive.PassiveAggressiveRegressor'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('PassiveAggressiveRegressor', <class 'sklearn.linear_model.passive_aggressive.PassiveAggressiveRegressor'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('PassiveAggressiveRegressor', <class 'sklearn.linear_model.passive_aggressive.PassiveAggressiveRegressor'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('PassiveAggressiveRegressor', <class 'sklearn.linear_model.passive_aggressive.PassiveAggressiveRegressor'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('PassiveAggressiveRegressor', <class 'sklearn.linear_model.passive_aggressive.PassiveAggressiveRegressor'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('Perceptron', <class 'sklearn.linear_model.perceptron.Perceptron'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('Perceptron', <class 'sklearn.linear_model.perceptron.Perceptron'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('Perceptron', <class 'sklearn.linear_model.perceptron.Perceptron'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('Perceptron', <class 'sklearn.linear_model.perceptron.Perceptron'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('Perceptron', <class 'sklearn.linear_model.perceptron.Perceptron'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('Perceptron', <class 'sklearn.linear_model.perceptron.Perceptron'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('Perceptron', <class 'sklearn.linear_model.perceptron.Perceptron'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('Perceptron', <class 'sklearn.linear_model.perceptron.Perceptron'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('Perceptron', <class 'sklearn.linear_model.perceptron.Perceptron'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('Perceptron', <class 'sklearn.linear_model.perceptron.Perceptron'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('Perceptron', <class 'sklearn.linear_model.perceptron.Perceptron'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('Perceptron', <class 'sklearn.linear_model.perceptron.Perceptron'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('Perceptron', <class 'sklearn.linear_model.perceptron.Perceptron'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('Perceptron', <class 'sklearn.linear_model.perceptron.Perceptron'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('Perceptron', <class 'sklearn.linear_model.perceptron.Perceptron'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('Perceptron', <class 'sklearn.linear_model.perceptron.Perceptron'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('Perceptron', <class 'sklearn.linear_model.perceptron.Perceptron'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('Perceptron', <class 'sklearn.linear_model.perceptron.Perceptron'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('Perceptron', <class 'sklearn.linear_model.perceptron.Perceptron'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('Perceptron', <class 'sklearn.linear_model.perceptron.Perceptron'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('Perceptron', <class 'sklearn.linear_model.perceptron.Perceptron'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('Perceptron', <class 'sklearn.linear_model.perceptron.Perceptron'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('Perceptron', <class 'sklearn.linear_model.perceptron.Perceptron'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('Perceptron', <class 'sklearn.linear_model.perceptron.Perceptron'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('Perceptron', <class 'sklearn.linear_model.perceptron.Perceptron'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('ProjectedGradientNMF', <class 'sklearn.decomposition.nmf.ProjectedGradientNMF'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('ProjectedGradientNMF', <class 'sklearn.decomposition.nmf.ProjectedGradientNMF'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('ProjectedGradientNMF', <class 'sklearn.decomposition.nmf.ProjectedGradientNMF'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('ProjectedGradientNMF', <class 'sklearn.decomposition.nmf.ProjectedGradientNMF'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('ProjectedGradientNMF', <class 'sklearn.decomposition.nmf.ProjectedGradientNMF'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('ProjectedGradientNMF', <class 'sklearn.decomposition.nmf.ProjectedGradientNMF'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('ProjectedGradientNMF', <class 'sklearn.decomposition.nmf.ProjectedGradientNMF'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('ProjectedGradientNMF', <class 'sklearn.decomposition.nmf.ProjectedGradientNMF'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('ProjectedGradientNMF', <class 'sklearn.decomposition.nmf.ProjectedGradientNMF'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('ProjectedGradientNMF', <class 'sklearn.decomposition.nmf.ProjectedGradientNMF'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('ProjectedGradientNMF', <class 'sklearn.decomposition.nmf.ProjectedGradientNMF'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('ProjectedGradientNMF', <class 'sklearn.decomposition.nmf.ProjectedGradientNMF'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('ProjectedGradientNMF', <class 'sklearn.decomposition.nmf.ProjectedGradientNMF'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('ProjectedGradientNMF', <class 'sklearn.decomposition.nmf.ProjectedGradientNMF'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('ProjectedGradientNMF', <class 'sklearn.decomposition.nmf.ProjectedGradientNMF'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('ProjectedGradientNMF', <class 'sklearn.decomposition.nmf.ProjectedGradientNMF'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('ProjectedGradientNMF', <class 'sklearn.decomposition.nmf.ProjectedGradientNMF'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('ProjectedGradientNMF', <class 'sklearn.decomposition.nmf.ProjectedGradientNMF'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('QDA', <class 'sklearn.discriminant_analysis.QuadraticDiscriminantAnalysis'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('QDA', <class 'sklearn.discriminant_analysis.QuadraticDiscriminantAnalysis'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('QDA', <class 'sklearn.discriminant_analysis.QuadraticDiscriminantAnalysis'>) ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/discriminant_analysis.py:688: UserWarning: Variables are collinear
warnings.warn("Variables are collinear")
ok
sklearn.tests.test_common.test_non_meta_estimators('QDA', <class 'sklearn.discriminant_analysis.QuadraticDiscriminantAnalysis'>) ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/discriminant_analysis.py:688: UserWarning: Variables are collinear
warnings.warn("Variables are collinear")
ok
sklearn.tests.test_common.test_non_meta_estimators('QDA', <class 'sklearn.discriminant_analysis.QuadraticDiscriminantAnalysis'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('QDA', <class 'sklearn.discriminant_analysis.QuadraticDiscriminantAnalysis'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('QDA', <class 'sklearn.discriminant_analysis.QuadraticDiscriminantAnalysis'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('QDA', <class 'sklearn.discriminant_analysis.QuadraticDiscriminantAnalysis'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('QDA', <class 'sklearn.discriminant_analysis.QuadraticDiscriminantAnalysis'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('QDA', <class 'sklearn.discriminant_analysis.QuadraticDiscriminantAnalysis'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('QDA', <class 'sklearn.discriminant_analysis.QuadraticDiscriminantAnalysis'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('QDA', <class 'sklearn.discriminant_analysis.QuadraticDiscriminantAnalysis'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('QDA', <class 'sklearn.discriminant_analysis.QuadraticDiscriminantAnalysis'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('QDA', <class 'sklearn.discriminant_analysis.QuadraticDiscriminantAnalysis'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('QDA', <class 'sklearn.discriminant_analysis.QuadraticDiscriminantAnalysis'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('QDA', <class 'sklearn.discriminant_analysis.QuadraticDiscriminantAnalysis'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('QDA', <class 'sklearn.discriminant_analysis.QuadraticDiscriminantAnalysis'>) ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/discriminant_analysis.py:688: UserWarning: Variables are collinear
warnings.warn("Variables are collinear")
ok
sklearn.tests.test_common.test_non_meta_estimators('QDA', <class 'sklearn.discriminant_analysis.QuadraticDiscriminantAnalysis'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('QDA', <class 'sklearn.discriminant_analysis.QuadraticDiscriminantAnalysis'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('QDA', <class 'sklearn.discriminant_analysis.QuadraticDiscriminantAnalysis'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('QDA', <class 'sklearn.discriminant_analysis.QuadraticDiscriminantAnalysis'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('QDA', <class 'sklearn.discriminant_analysis.QuadraticDiscriminantAnalysis'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('QDA', <class 'sklearn.discriminant_analysis.QuadraticDiscriminantAnalysis'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('QuadraticDiscriminantAnalysis', <class 'sklearn.discriminant_analysis.QuadraticDiscriminantAnalysis'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('QuadraticDiscriminantAnalysis', <class 'sklearn.discriminant_analysis.QuadraticDiscriminantAnalysis'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('QuadraticDiscriminantAnalysis', <class 'sklearn.discriminant_analysis.QuadraticDiscriminantAnalysis'>) ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/discriminant_analysis.py:688: UserWarning: Variables are collinear
warnings.warn("Variables are collinear")
ok
sklearn.tests.test_common.test_non_meta_estimators('QuadraticDiscriminantAnalysis', <class 'sklearn.discriminant_analysis.QuadraticDiscriminantAnalysis'>) ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/discriminant_analysis.py:688: UserWarning: Variables are collinear
warnings.warn("Variables are collinear")
ok
sklearn.tests.test_common.test_non_meta_estimators('QuadraticDiscriminantAnalysis', <class 'sklearn.discriminant_analysis.QuadraticDiscriminantAnalysis'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('QuadraticDiscriminantAnalysis', <class 'sklearn.discriminant_analysis.QuadraticDiscriminantAnalysis'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('QuadraticDiscriminantAnalysis', <class 'sklearn.discriminant_analysis.QuadraticDiscriminantAnalysis'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('QuadraticDiscriminantAnalysis', <class 'sklearn.discriminant_analysis.QuadraticDiscriminantAnalysis'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('QuadraticDiscriminantAnalysis', <class 'sklearn.discriminant_analysis.QuadraticDiscriminantAnalysis'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('QuadraticDiscriminantAnalysis', <class 'sklearn.discriminant_analysis.QuadraticDiscriminantAnalysis'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('QuadraticDiscriminantAnalysis', <class 'sklearn.discriminant_analysis.QuadraticDiscriminantAnalysis'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('QuadraticDiscriminantAnalysis', <class 'sklearn.discriminant_analysis.QuadraticDiscriminantAnalysis'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('QuadraticDiscriminantAnalysis', <class 'sklearn.discriminant_analysis.QuadraticDiscriminantAnalysis'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('QuadraticDiscriminantAnalysis', <class 'sklearn.discriminant_analysis.QuadraticDiscriminantAnalysis'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('QuadraticDiscriminantAnalysis', <class 'sklearn.discriminant_analysis.QuadraticDiscriminantAnalysis'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('QuadraticDiscriminantAnalysis', <class 'sklearn.discriminant_analysis.QuadraticDiscriminantAnalysis'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('QuadraticDiscriminantAnalysis', <class 'sklearn.discriminant_analysis.QuadraticDiscriminantAnalysis'>) ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/discriminant_analysis.py:688: UserWarning: Variables are collinear
warnings.warn("Variables are collinear")
ok
sklearn.tests.test_common.test_non_meta_estimators('QuadraticDiscriminantAnalysis', <class 'sklearn.discriminant_analysis.QuadraticDiscriminantAnalysis'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('QuadraticDiscriminantAnalysis', <class 'sklearn.discriminant_analysis.QuadraticDiscriminantAnalysis'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('QuadraticDiscriminantAnalysis', <class 'sklearn.discriminant_analysis.QuadraticDiscriminantAnalysis'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('QuadraticDiscriminantAnalysis', <class 'sklearn.discriminant_analysis.QuadraticDiscriminantAnalysis'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('QuadraticDiscriminantAnalysis', <class 'sklearn.discriminant_analysis.QuadraticDiscriminantAnalysis'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('QuadraticDiscriminantAnalysis', <class 'sklearn.discriminant_analysis.QuadraticDiscriminantAnalysis'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('RANSACRegressor', <class 'sklearn.linear_model.ransac.RANSACRegressor'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('RANSACRegressor', <class 'sklearn.linear_model.ransac.RANSACRegressor'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('RANSACRegressor', <class 'sklearn.linear_model.ransac.RANSACRegressor'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('RANSACRegressor', <class 'sklearn.linear_model.ransac.RANSACRegressor'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('RANSACRegressor', <class 'sklearn.linear_model.ransac.RANSACRegressor'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('RANSACRegressor', <class 'sklearn.linear_model.ransac.RANSACRegressor'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('RANSACRegressor', <class 'sklearn.linear_model.ransac.RANSACRegressor'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('RANSACRegressor', <class 'sklearn.linear_model.ransac.RANSACRegressor'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('RANSACRegressor', <class 'sklearn.linear_model.ransac.RANSACRegressor'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('RANSACRegressor', <class 'sklearn.linear_model.ransac.RANSACRegressor'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('RANSACRegressor', <class 'sklearn.linear_model.ransac.RANSACRegressor'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('RANSACRegressor', <class 'sklearn.linear_model.ransac.RANSACRegressor'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('RANSACRegressor', <class 'sklearn.linear_model.ransac.RANSACRegressor'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('RANSACRegressor', <class 'sklearn.linear_model.ransac.RANSACRegressor'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('RANSACRegressor', <class 'sklearn.linear_model.ransac.RANSACRegressor'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('RANSACRegressor', <class 'sklearn.linear_model.ransac.RANSACRegressor'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('RANSACRegressor', <class 'sklearn.linear_model.ransac.RANSACRegressor'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('RANSACRegressor', <class 'sklearn.linear_model.ransac.RANSACRegressor'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('RANSACRegressor', <class 'sklearn.linear_model.ransac.RANSACRegressor'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('RANSACRegressor', <class 'sklearn.linear_model.ransac.RANSACRegressor'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('RANSACRegressor', <class 'sklearn.linear_model.ransac.RANSACRegressor'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('RANSACRegressor', <class 'sklearn.linear_model.ransac.RANSACRegressor'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('RBFSampler', <class 'sklearn.kernel_approximation.RBFSampler'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('RBFSampler', <class 'sklearn.kernel_approximation.RBFSampler'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('RBFSampler', <class 'sklearn.kernel_approximation.RBFSampler'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('RBFSampler', <class 'sklearn.kernel_approximation.RBFSampler'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('RBFSampler', <class 'sklearn.kernel_approximation.RBFSampler'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('RBFSampler', <class 'sklearn.kernel_approximation.RBFSampler'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('RBFSampler', <class 'sklearn.kernel_approximation.RBFSampler'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('RBFSampler', <class 'sklearn.kernel_approximation.RBFSampler'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('RBFSampler', <class 'sklearn.kernel_approximation.RBFSampler'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('RBFSampler', <class 'sklearn.kernel_approximation.RBFSampler'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('RBFSampler', <class 'sklearn.kernel_approximation.RBFSampler'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('RBFSampler', <class 'sklearn.kernel_approximation.RBFSampler'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('RBFSampler', <class 'sklearn.kernel_approximation.RBFSampler'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('RBFSampler', <class 'sklearn.kernel_approximation.RBFSampler'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('RBFSampler', <class 'sklearn.kernel_approximation.RBFSampler'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('RBFSampler', <class 'sklearn.kernel_approximation.RBFSampler'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('RBFSampler', <class 'sklearn.kernel_approximation.RBFSampler'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('RBFSampler', <class 'sklearn.kernel_approximation.RBFSampler'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('RadiusNeighborsClassifier', <class 'sklearn.neighbors.classification.RadiusNeighborsClassifier'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('RadiusNeighborsClassifier', <class 'sklearn.neighbors.classification.RadiusNeighborsClassifier'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('RadiusNeighborsClassifier', <class 'sklearn.neighbors.classification.RadiusNeighborsClassifier'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('RadiusNeighborsClassifier', <class 'sklearn.neighbors.classification.RadiusNeighborsClassifier'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('RadiusNeighborsClassifier', <class 'sklearn.neighbors.classification.RadiusNeighborsClassifier'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('RadiusNeighborsClassifier', <class 'sklearn.neighbors.classification.RadiusNeighborsClassifier'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('RadiusNeighborsClassifier', <class 'sklearn.neighbors.classification.RadiusNeighborsClassifier'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('RadiusNeighborsClassifier', <class 'sklearn.neighbors.classification.RadiusNeighborsClassifier'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('RadiusNeighborsClassifier', <class 'sklearn.neighbors.classification.RadiusNeighborsClassifier'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('RadiusNeighborsClassifier', <class 'sklearn.neighbors.classification.RadiusNeighborsClassifier'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('RadiusNeighborsClassifier', <class 'sklearn.neighbors.classification.RadiusNeighborsClassifier'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('RadiusNeighborsClassifier', <class 'sklearn.neighbors.classification.RadiusNeighborsClassifier'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('RadiusNeighborsClassifier', <class 'sklearn.neighbors.classification.RadiusNeighborsClassifier'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('RadiusNeighborsClassifier', <class 'sklearn.neighbors.classification.RadiusNeighborsClassifier'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('RadiusNeighborsClassifier', <class 'sklearn.neighbors.classification.RadiusNeighborsClassifier'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('RadiusNeighborsClassifier', <class 'sklearn.neighbors.classification.RadiusNeighborsClassifier'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('RadiusNeighborsClassifier', <class 'sklearn.neighbors.classification.RadiusNeighborsClassifier'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('RadiusNeighborsClassifier', <class 'sklearn.neighbors.classification.RadiusNeighborsClassifier'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('RadiusNeighborsClassifier', <class 'sklearn.neighbors.classification.RadiusNeighborsClassifier'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('RadiusNeighborsClassifier', <class 'sklearn.neighbors.classification.RadiusNeighborsClassifier'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('RadiusNeighborsClassifier', <class 'sklearn.neighbors.classification.RadiusNeighborsClassifier'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('RadiusNeighborsClassifier', <class 'sklearn.neighbors.classification.RadiusNeighborsClassifier'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('RadiusNeighborsClassifier', <class 'sklearn.neighbors.classification.RadiusNeighborsClassifier'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('RadiusNeighborsRegressor', <class 'sklearn.neighbors.regression.RadiusNeighborsRegressor'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('RadiusNeighborsRegressor', <class 'sklearn.neighbors.regression.RadiusNeighborsRegressor'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('RadiusNeighborsRegressor', <class 'sklearn.neighbors.regression.RadiusNeighborsRegressor'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('RadiusNeighborsRegressor', <class 'sklearn.neighbors.regression.RadiusNeighborsRegressor'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('RadiusNeighborsRegressor', <class 'sklearn.neighbors.regression.RadiusNeighborsRegressor'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('RadiusNeighborsRegressor', <class 'sklearn.neighbors.regression.RadiusNeighborsRegressor'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('RadiusNeighborsRegressor', <class 'sklearn.neighbors.regression.RadiusNeighborsRegressor'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('RadiusNeighborsRegressor', <class 'sklearn.neighbors.regression.RadiusNeighborsRegressor'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('RadiusNeighborsRegressor', <class 'sklearn.neighbors.regression.RadiusNeighborsRegressor'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('RadiusNeighborsRegressor', <class 'sklearn.neighbors.regression.RadiusNeighborsRegressor'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('RadiusNeighborsRegressor', <class 'sklearn.neighbors.regression.RadiusNeighborsRegressor'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('RadiusNeighborsRegressor', <class 'sklearn.neighbors.regression.RadiusNeighborsRegressor'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('RadiusNeighborsRegressor', <class 'sklearn.neighbors.regression.RadiusNeighborsRegressor'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('RadiusNeighborsRegressor', <class 'sklearn.neighbors.regression.RadiusNeighborsRegressor'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('RadiusNeighborsRegressor', <class 'sklearn.neighbors.regression.RadiusNeighborsRegressor'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('RadiusNeighborsRegressor', <class 'sklearn.neighbors.regression.RadiusNeighborsRegressor'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('RadiusNeighborsRegressor', <class 'sklearn.neighbors.regression.RadiusNeighborsRegressor'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('RadiusNeighborsRegressor', <class 'sklearn.neighbors.regression.RadiusNeighborsRegressor'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('RadiusNeighborsRegressor', <class 'sklearn.neighbors.regression.RadiusNeighborsRegressor'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('RadiusNeighborsRegressor', <class 'sklearn.neighbors.regression.RadiusNeighborsRegressor'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('RadiusNeighborsRegressor', <class 'sklearn.neighbors.regression.RadiusNeighborsRegressor'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('RadiusNeighborsRegressor', <class 'sklearn.neighbors.regression.RadiusNeighborsRegressor'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('RandomForestClassifier', <class 'sklearn.ensemble.forest.RandomForestClassifier'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('RandomForestClassifier', <class 'sklearn.ensemble.forest.RandomForestClassifier'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('RandomForestClassifier', <class 'sklearn.ensemble.forest.RandomForestClassifier'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('RandomForestClassifier', <class 'sklearn.ensemble.forest.RandomForestClassifier'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('RandomForestClassifier', <class 'sklearn.ensemble.forest.RandomForestClassifier'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('RandomForestClassifier', <class 'sklearn.ensemble.forest.RandomForestClassifier'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('RandomForestClassifier', <class 'sklearn.ensemble.forest.RandomForestClassifier'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('RandomForestClassifier', <class 'sklearn.ensemble.forest.RandomForestClassifier'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('RandomForestClassifier', <class 'sklearn.ensemble.forest.RandomForestClassifier'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('RandomForestClassifier', <class 'sklearn.ensemble.forest.RandomForestClassifier'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('RandomForestClassifier', <class 'sklearn.ensemble.forest.RandomForestClassifier'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('RandomForestClassifier', <class 'sklearn.ensemble.forest.RandomForestClassifier'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('RandomForestClassifier', <class 'sklearn.ensemble.forest.RandomForestClassifier'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('RandomForestClassifier', <class 'sklearn.ensemble.forest.RandomForestClassifier'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('RandomForestClassifier', <class 'sklearn.ensemble.forest.RandomForestClassifier'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('RandomForestClassifier', <class 'sklearn.ensemble.forest.RandomForestClassifier'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('RandomForestClassifier', <class 'sklearn.ensemble.forest.RandomForestClassifier'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('RandomForestClassifier', <class 'sklearn.ensemble.forest.RandomForestClassifier'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('RandomForestClassifier', <class 'sklearn.ensemble.forest.RandomForestClassifier'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('RandomForestClassifier', <class 'sklearn.ensemble.forest.RandomForestClassifier'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('RandomForestClassifier', <class 'sklearn.ensemble.forest.RandomForestClassifier'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('RandomForestClassifier', <class 'sklearn.ensemble.forest.RandomForestClassifier'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('RandomForestClassifier', <class 'sklearn.ensemble.forest.RandomForestClassifier'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('RandomForestClassifier', <class 'sklearn.ensemble.forest.RandomForestClassifier'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('RandomForestRegressor', <class 'sklearn.ensemble.forest.RandomForestRegressor'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('RandomForestRegressor', <class 'sklearn.ensemble.forest.RandomForestRegressor'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('RandomForestRegressor', <class 'sklearn.ensemble.forest.RandomForestRegressor'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('RandomForestRegressor', <class 'sklearn.ensemble.forest.RandomForestRegressor'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('RandomForestRegressor', <class 'sklearn.ensemble.forest.RandomForestRegressor'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('RandomForestRegressor', <class 'sklearn.ensemble.forest.RandomForestRegressor'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('RandomForestRegressor', <class 'sklearn.ensemble.forest.RandomForestRegressor'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('RandomForestRegressor', <class 'sklearn.ensemble.forest.RandomForestRegressor'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('RandomForestRegressor', <class 'sklearn.ensemble.forest.RandomForestRegressor'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('RandomForestRegressor', <class 'sklearn.ensemble.forest.RandomForestRegressor'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('RandomForestRegressor', <class 'sklearn.ensemble.forest.RandomForestRegressor'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('RandomForestRegressor', <class 'sklearn.ensemble.forest.RandomForestRegressor'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('RandomForestRegressor', <class 'sklearn.ensemble.forest.RandomForestRegressor'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('RandomForestRegressor', <class 'sklearn.ensemble.forest.RandomForestRegressor'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('RandomForestRegressor', <class 'sklearn.ensemble.forest.RandomForestRegressor'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('RandomForestRegressor', <class 'sklearn.ensemble.forest.RandomForestRegressor'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('RandomForestRegressor', <class 'sklearn.ensemble.forest.RandomForestRegressor'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('RandomForestRegressor', <class 'sklearn.ensemble.forest.RandomForestRegressor'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('RandomForestRegressor', <class 'sklearn.ensemble.forest.RandomForestRegressor'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('RandomForestRegressor', <class 'sklearn.ensemble.forest.RandomForestRegressor'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('RandomForestRegressor', <class 'sklearn.ensemble.forest.RandomForestRegressor'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('RandomForestRegressor', <class 'sklearn.ensemble.forest.RandomForestRegressor'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('RandomizedLasso', <class 'sklearn.linear_model.randomized_l1.RandomizedLasso'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('RandomizedLasso', <class 'sklearn.linear_model.randomized_l1.RandomizedLasso'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('RandomizedLasso', <class 'sklearn.linear_model.randomized_l1.RandomizedLasso'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('RandomizedLasso', <class 'sklearn.linear_model.randomized_l1.RandomizedLasso'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('RandomizedLasso', <class 'sklearn.linear_model.randomized_l1.RandomizedLasso'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('RandomizedLasso', <class 'sklearn.linear_model.randomized_l1.RandomizedLasso'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('RandomizedLasso', <class 'sklearn.linear_model.randomized_l1.RandomizedLasso'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('RandomizedLasso', <class 'sklearn.linear_model.randomized_l1.RandomizedLasso'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('RandomizedLasso', <class 'sklearn.linear_model.randomized_l1.RandomizedLasso'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('RandomizedLasso', <class 'sklearn.linear_model.randomized_l1.RandomizedLasso'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('RandomizedLasso', <class 'sklearn.linear_model.randomized_l1.RandomizedLasso'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('RandomizedLasso', <class 'sklearn.linear_model.randomized_l1.RandomizedLasso'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('RandomizedLasso', <class 'sklearn.linear_model.randomized_l1.RandomizedLasso'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('RandomizedLasso', <class 'sklearn.linear_model.randomized_l1.RandomizedLasso'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('RandomizedLasso', <class 'sklearn.linear_model.randomized_l1.RandomizedLasso'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('RandomizedLasso', <class 'sklearn.linear_model.randomized_l1.RandomizedLasso'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('RandomizedLasso', <class 'sklearn.linear_model.randomized_l1.RandomizedLasso'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('RandomizedLasso', <class 'sklearn.linear_model.randomized_l1.RandomizedLasso'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('RandomizedLogisticRegression', <class 'sklearn.linear_model.randomized_l1.RandomizedLogisticRegression'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('RandomizedLogisticRegression', <class 'sklearn.linear_model.randomized_l1.RandomizedLogisticRegression'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('RandomizedLogisticRegression', <class 'sklearn.linear_model.randomized_l1.RandomizedLogisticRegression'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('RandomizedLogisticRegression', <class 'sklearn.linear_model.randomized_l1.RandomizedLogisticRegression'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('RandomizedLogisticRegression', <class 'sklearn.linear_model.randomized_l1.RandomizedLogisticRegression'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('RandomizedLogisticRegression', <class 'sklearn.linear_model.randomized_l1.RandomizedLogisticRegression'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('RandomizedLogisticRegression', <class 'sklearn.linear_model.randomized_l1.RandomizedLogisticRegression'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('RandomizedLogisticRegression', <class 'sklearn.linear_model.randomized_l1.RandomizedLogisticRegression'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('RandomizedLogisticRegression', <class 'sklearn.linear_model.randomized_l1.RandomizedLogisticRegression'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('RandomizedLogisticRegression', <class 'sklearn.linear_model.randomized_l1.RandomizedLogisticRegression'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('RandomizedLogisticRegression', <class 'sklearn.linear_model.randomized_l1.RandomizedLogisticRegression'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('RandomizedLogisticRegression', <class 'sklearn.linear_model.randomized_l1.RandomizedLogisticRegression'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('RandomizedLogisticRegression', <class 'sklearn.linear_model.randomized_l1.RandomizedLogisticRegression'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('RandomizedLogisticRegression', <class 'sklearn.linear_model.randomized_l1.RandomizedLogisticRegression'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('RandomizedLogisticRegression', <class 'sklearn.linear_model.randomized_l1.RandomizedLogisticRegression'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('RandomizedLogisticRegression', <class 'sklearn.linear_model.randomized_l1.RandomizedLogisticRegression'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('RandomizedLogisticRegression', <class 'sklearn.linear_model.randomized_l1.RandomizedLogisticRegression'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('RandomizedLogisticRegression', <class 'sklearn.linear_model.randomized_l1.RandomizedLogisticRegression'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('RandomizedPCA', <class 'sklearn.decomposition.pca.RandomizedPCA'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('RandomizedPCA', <class 'sklearn.decomposition.pca.RandomizedPCA'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('RandomizedPCA', <class 'sklearn.decomposition.pca.RandomizedPCA'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('RandomizedPCA', <class 'sklearn.decomposition.pca.RandomizedPCA'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('RandomizedPCA', <class 'sklearn.decomposition.pca.RandomizedPCA'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('RandomizedPCA', <class 'sklearn.decomposition.pca.RandomizedPCA'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('RandomizedPCA', <class 'sklearn.decomposition.pca.RandomizedPCA'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('RandomizedPCA', <class 'sklearn.decomposition.pca.RandomizedPCA'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('RandomizedPCA', <class 'sklearn.decomposition.pca.RandomizedPCA'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('RandomizedPCA', <class 'sklearn.decomposition.pca.RandomizedPCA'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('RandomizedPCA', <class 'sklearn.decomposition.pca.RandomizedPCA'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('RandomizedPCA', <class 'sklearn.decomposition.pca.RandomizedPCA'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('RandomizedPCA', <class 'sklearn.decomposition.pca.RandomizedPCA'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('RandomizedPCA', <class 'sklearn.decomposition.pca.RandomizedPCA'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('RandomizedPCA', <class 'sklearn.decomposition.pca.RandomizedPCA'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('RandomizedPCA', <class 'sklearn.decomposition.pca.RandomizedPCA'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('RandomizedPCA', <class 'sklearn.decomposition.pca.RandomizedPCA'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('RandomizedPCA', <class 'sklearn.decomposition.pca.RandomizedPCA'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('Ridge', <class 'sklearn.linear_model.ridge.Ridge'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('Ridge', <class 'sklearn.linear_model.ridge.Ridge'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('Ridge', <class 'sklearn.linear_model.ridge.Ridge'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('Ridge', <class 'sklearn.linear_model.ridge.Ridge'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('Ridge', <class 'sklearn.linear_model.ridge.Ridge'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('Ridge', <class 'sklearn.linear_model.ridge.Ridge'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('Ridge', <class 'sklearn.linear_model.ridge.Ridge'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('Ridge', <class 'sklearn.linear_model.ridge.Ridge'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('Ridge', <class 'sklearn.linear_model.ridge.Ridge'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('Ridge', <class 'sklearn.linear_model.ridge.Ridge'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('Ridge', <class 'sklearn.linear_model.ridge.Ridge'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('Ridge', <class 'sklearn.linear_model.ridge.Ridge'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('Ridge', <class 'sklearn.linear_model.ridge.Ridge'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('Ridge', <class 'sklearn.linear_model.ridge.Ridge'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('Ridge', <class 'sklearn.linear_model.ridge.Ridge'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('Ridge', <class 'sklearn.linear_model.ridge.Ridge'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('Ridge', <class 'sklearn.linear_model.ridge.Ridge'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('Ridge', <class 'sklearn.linear_model.ridge.Ridge'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('Ridge', <class 'sklearn.linear_model.ridge.Ridge'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('Ridge', <class 'sklearn.linear_model.ridge.Ridge'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('Ridge', <class 'sklearn.linear_model.ridge.Ridge'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('Ridge', <class 'sklearn.linear_model.ridge.Ridge'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('RidgeCV', <class 'sklearn.linear_model.ridge.RidgeCV'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('RidgeCV', <class 'sklearn.linear_model.ridge.RidgeCV'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('RidgeCV', <class 'sklearn.linear_model.ridge.RidgeCV'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('RidgeCV', <class 'sklearn.linear_model.ridge.RidgeCV'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('RidgeCV', <class 'sklearn.linear_model.ridge.RidgeCV'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('RidgeCV', <class 'sklearn.linear_model.ridge.RidgeCV'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('RidgeCV', <class 'sklearn.linear_model.ridge.RidgeCV'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('RidgeCV', <class 'sklearn.linear_model.ridge.RidgeCV'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('RidgeCV', <class 'sklearn.linear_model.ridge.RidgeCV'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('RidgeCV', <class 'sklearn.linear_model.ridge.RidgeCV'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('RidgeCV', <class 'sklearn.linear_model.ridge.RidgeCV'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('RidgeCV', <class 'sklearn.linear_model.ridge.RidgeCV'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('RidgeCV', <class 'sklearn.linear_model.ridge.RidgeCV'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('RidgeCV', <class 'sklearn.linear_model.ridge.RidgeCV'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('RidgeCV', <class 'sklearn.linear_model.ridge.RidgeCV'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('RidgeCV', <class 'sklearn.linear_model.ridge.RidgeCV'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('RidgeCV', <class 'sklearn.linear_model.ridge.RidgeCV'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('RidgeCV', <class 'sklearn.linear_model.ridge.RidgeCV'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('RidgeCV', <class 'sklearn.linear_model.ridge.RidgeCV'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('RidgeCV', <class 'sklearn.linear_model.ridge.RidgeCV'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('RidgeCV', <class 'sklearn.linear_model.ridge.RidgeCV'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('RidgeCV', <class 'sklearn.linear_model.ridge.RidgeCV'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('RidgeClassifier', <class 'sklearn.linear_model.ridge.RidgeClassifier'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('RidgeClassifier', <class 'sklearn.linear_model.ridge.RidgeClassifier'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('RidgeClassifier', <class 'sklearn.linear_model.ridge.RidgeClassifier'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('RidgeClassifier', <class 'sklearn.linear_model.ridge.RidgeClassifier'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('RidgeClassifier', <class 'sklearn.linear_model.ridge.RidgeClassifier'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('RidgeClassifier', <class 'sklearn.linear_model.ridge.RidgeClassifier'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('RidgeClassifier', <class 'sklearn.linear_model.ridge.RidgeClassifier'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('RidgeClassifier', <class 'sklearn.linear_model.ridge.RidgeClassifier'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('RidgeClassifier', <class 'sklearn.linear_model.ridge.RidgeClassifier'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('RidgeClassifier', <class 'sklearn.linear_model.ridge.RidgeClassifier'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('RidgeClassifier', <class 'sklearn.linear_model.ridge.RidgeClassifier'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('RidgeClassifier', <class 'sklearn.linear_model.ridge.RidgeClassifier'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('RidgeClassifier', <class 'sklearn.linear_model.ridge.RidgeClassifier'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('RidgeClassifier', <class 'sklearn.linear_model.ridge.RidgeClassifier'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('RidgeClassifier', <class 'sklearn.linear_model.ridge.RidgeClassifier'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('RidgeClassifier', <class 'sklearn.linear_model.ridge.RidgeClassifier'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('RidgeClassifier', <class 'sklearn.linear_model.ridge.RidgeClassifier'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('RidgeClassifier', <class 'sklearn.linear_model.ridge.RidgeClassifier'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('RidgeClassifier', <class 'sklearn.linear_model.ridge.RidgeClassifier'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('RidgeClassifier', <class 'sklearn.linear_model.ridge.RidgeClassifier'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('RidgeClassifier', <class 'sklearn.linear_model.ridge.RidgeClassifier'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('RidgeClassifier', <class 'sklearn.linear_model.ridge.RidgeClassifier'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('RidgeClassifier', <class 'sklearn.linear_model.ridge.RidgeClassifier'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('RidgeClassifier', <class 'sklearn.linear_model.ridge.RidgeClassifier'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('RidgeClassifierCV', <class 'sklearn.linear_model.ridge.RidgeClassifierCV'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('RidgeClassifierCV', <class 'sklearn.linear_model.ridge.RidgeClassifierCV'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('RidgeClassifierCV', <class 'sklearn.linear_model.ridge.RidgeClassifierCV'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('RidgeClassifierCV', <class 'sklearn.linear_model.ridge.RidgeClassifierCV'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('RidgeClassifierCV', <class 'sklearn.linear_model.ridge.RidgeClassifierCV'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('RidgeClassifierCV', <class 'sklearn.linear_model.ridge.RidgeClassifierCV'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('RidgeClassifierCV', <class 'sklearn.linear_model.ridge.RidgeClassifierCV'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('RidgeClassifierCV', <class 'sklearn.linear_model.ridge.RidgeClassifierCV'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('RidgeClassifierCV', <class 'sklearn.linear_model.ridge.RidgeClassifierCV'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('RidgeClassifierCV', <class 'sklearn.linear_model.ridge.RidgeClassifierCV'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('RidgeClassifierCV', <class 'sklearn.linear_model.ridge.RidgeClassifierCV'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('RidgeClassifierCV', <class 'sklearn.linear_model.ridge.RidgeClassifierCV'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('RidgeClassifierCV', <class 'sklearn.linear_model.ridge.RidgeClassifierCV'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('RidgeClassifierCV', <class 'sklearn.linear_model.ridge.RidgeClassifierCV'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('RidgeClassifierCV', <class 'sklearn.linear_model.ridge.RidgeClassifierCV'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('RidgeClassifierCV', <class 'sklearn.linear_model.ridge.RidgeClassifierCV'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('RidgeClassifierCV', <class 'sklearn.linear_model.ridge.RidgeClassifierCV'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('RidgeClassifierCV', <class 'sklearn.linear_model.ridge.RidgeClassifierCV'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('RidgeClassifierCV', <class 'sklearn.linear_model.ridge.RidgeClassifierCV'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('RidgeClassifierCV', <class 'sklearn.linear_model.ridge.RidgeClassifierCV'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('RidgeClassifierCV', <class 'sklearn.linear_model.ridge.RidgeClassifierCV'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('RidgeClassifierCV', <class 'sklearn.linear_model.ridge.RidgeClassifierCV'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('RidgeClassifierCV', <class 'sklearn.linear_model.ridge.RidgeClassifierCV'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('RidgeClassifierCV', <class 'sklearn.linear_model.ridge.RidgeClassifierCV'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('RobustScaler', <class 'sklearn.preprocessing.data.RobustScaler'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('RobustScaler', <class 'sklearn.preprocessing.data.RobustScaler'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('RobustScaler', <class 'sklearn.preprocessing.data.RobustScaler'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('RobustScaler', <class 'sklearn.preprocessing.data.RobustScaler'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('RobustScaler', <class 'sklearn.preprocessing.data.RobustScaler'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('RobustScaler', <class 'sklearn.preprocessing.data.RobustScaler'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('RobustScaler', <class 'sklearn.preprocessing.data.RobustScaler'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('RobustScaler', <class 'sklearn.preprocessing.data.RobustScaler'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('RobustScaler', <class 'sklearn.preprocessing.data.RobustScaler'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('RobustScaler', <class 'sklearn.preprocessing.data.RobustScaler'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('RobustScaler', <class 'sklearn.preprocessing.data.RobustScaler'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('RobustScaler', <class 'sklearn.preprocessing.data.RobustScaler'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('RobustScaler', <class 'sklearn.preprocessing.data.RobustScaler'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('RobustScaler', <class 'sklearn.preprocessing.data.RobustScaler'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('RobustScaler', <class 'sklearn.preprocessing.data.RobustScaler'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('RobustScaler', <class 'sklearn.preprocessing.data.RobustScaler'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('RobustScaler', <class 'sklearn.preprocessing.data.RobustScaler'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('RobustScaler', <class 'sklearn.preprocessing.data.RobustScaler'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('SGDClassifier', <class 'sklearn.linear_model.stochastic_gradient.SGDClassifier'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('SGDClassifier', <class 'sklearn.linear_model.stochastic_gradient.SGDClassifier'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('SGDClassifier', <class 'sklearn.linear_model.stochastic_gradient.SGDClassifier'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('SGDClassifier', <class 'sklearn.linear_model.stochastic_gradient.SGDClassifier'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('SGDClassifier', <class 'sklearn.linear_model.stochastic_gradient.SGDClassifier'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('SGDClassifier', <class 'sklearn.linear_model.stochastic_gradient.SGDClassifier'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('SGDClassifier', <class 'sklearn.linear_model.stochastic_gradient.SGDClassifier'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('SGDClassifier', <class 'sklearn.linear_model.stochastic_gradient.SGDClassifier'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('SGDClassifier', <class 'sklearn.linear_model.stochastic_gradient.SGDClassifier'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('SGDClassifier', <class 'sklearn.linear_model.stochastic_gradient.SGDClassifier'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('SGDClassifier', <class 'sklearn.linear_model.stochastic_gradient.SGDClassifier'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('SGDClassifier', <class 'sklearn.linear_model.stochastic_gradient.SGDClassifier'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('SGDClassifier', <class 'sklearn.linear_model.stochastic_gradient.SGDClassifier'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('SGDClassifier', <class 'sklearn.linear_model.stochastic_gradient.SGDClassifier'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('SGDClassifier', <class 'sklearn.linear_model.stochastic_gradient.SGDClassifier'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('SGDClassifier', <class 'sklearn.linear_model.stochastic_gradient.SGDClassifier'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('SGDClassifier', <class 'sklearn.linear_model.stochastic_gradient.SGDClassifier'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('SGDClassifier', <class 'sklearn.linear_model.stochastic_gradient.SGDClassifier'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('SGDClassifier', <class 'sklearn.linear_model.stochastic_gradient.SGDClassifier'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('SGDClassifier', <class 'sklearn.linear_model.stochastic_gradient.SGDClassifier'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('SGDClassifier', <class 'sklearn.linear_model.stochastic_gradient.SGDClassifier'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('SGDClassifier', <class 'sklearn.linear_model.stochastic_gradient.SGDClassifier'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('SGDClassifier', <class 'sklearn.linear_model.stochastic_gradient.SGDClassifier'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('SGDClassifier', <class 'sklearn.linear_model.stochastic_gradient.SGDClassifier'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('SGDClassifier', <class 'sklearn.linear_model.stochastic_gradient.SGDClassifier'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('SGDRegressor', <class 'sklearn.linear_model.stochastic_gradient.SGDRegressor'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('SGDRegressor', <class 'sklearn.linear_model.stochastic_gradient.SGDRegressor'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('SGDRegressor', <class 'sklearn.linear_model.stochastic_gradient.SGDRegressor'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('SGDRegressor', <class 'sklearn.linear_model.stochastic_gradient.SGDRegressor'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('SGDRegressor', <class 'sklearn.linear_model.stochastic_gradient.SGDRegressor'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('SGDRegressor', <class 'sklearn.linear_model.stochastic_gradient.SGDRegressor'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('SGDRegressor', <class 'sklearn.linear_model.stochastic_gradient.SGDRegressor'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('SGDRegressor', <class 'sklearn.linear_model.stochastic_gradient.SGDRegressor'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('SGDRegressor', <class 'sklearn.linear_model.stochastic_gradient.SGDRegressor'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('SGDRegressor', <class 'sklearn.linear_model.stochastic_gradient.SGDRegressor'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('SGDRegressor', <class 'sklearn.linear_model.stochastic_gradient.SGDRegressor'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('SGDRegressor', <class 'sklearn.linear_model.stochastic_gradient.SGDRegressor'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('SGDRegressor', <class 'sklearn.linear_model.stochastic_gradient.SGDRegressor'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('SGDRegressor', <class 'sklearn.linear_model.stochastic_gradient.SGDRegressor'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('SGDRegressor', <class 'sklearn.linear_model.stochastic_gradient.SGDRegressor'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('SGDRegressor', <class 'sklearn.linear_model.stochastic_gradient.SGDRegressor'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('SGDRegressor', <class 'sklearn.linear_model.stochastic_gradient.SGDRegressor'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('SGDRegressor', <class 'sklearn.linear_model.stochastic_gradient.SGDRegressor'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('SGDRegressor', <class 'sklearn.linear_model.stochastic_gradient.SGDRegressor'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('SGDRegressor', <class 'sklearn.linear_model.stochastic_gradient.SGDRegressor'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('SGDRegressor', <class 'sklearn.linear_model.stochastic_gradient.SGDRegressor'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('SGDRegressor', <class 'sklearn.linear_model.stochastic_gradient.SGDRegressor'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('SGDRegressor', <class 'sklearn.linear_model.stochastic_gradient.SGDRegressor'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('SVC', <class 'sklearn.svm.classes.SVC'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('SVC', <class 'sklearn.svm.classes.SVC'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('SVC', <class 'sklearn.svm.classes.SVC'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('SVC', <class 'sklearn.svm.classes.SVC'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('SVC', <class 'sklearn.svm.classes.SVC'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('SVC', <class 'sklearn.svm.classes.SVC'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('SVC', <class 'sklearn.svm.classes.SVC'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('SVC', <class 'sklearn.svm.classes.SVC'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('SVC', <class 'sklearn.svm.classes.SVC'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('SVC', <class 'sklearn.svm.classes.SVC'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('SVC', <class 'sklearn.svm.classes.SVC'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('SVC', <class 'sklearn.svm.classes.SVC'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('SVC', <class 'sklearn.svm.classes.SVC'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('SVC', <class 'sklearn.svm.classes.SVC'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('SVC', <class 'sklearn.svm.classes.SVC'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('SVC', <class 'sklearn.svm.classes.SVC'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('SVC', <class 'sklearn.svm.classes.SVC'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('SVC', <class 'sklearn.svm.classes.SVC'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('SVC', <class 'sklearn.svm.classes.SVC'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('SVC', <class 'sklearn.svm.classes.SVC'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('SVC', <class 'sklearn.svm.classes.SVC'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('SVC', <class 'sklearn.svm.classes.SVC'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('SVC', <class 'sklearn.svm.classes.SVC'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('SVC', <class 'sklearn.svm.classes.SVC'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('SVR', <class 'sklearn.svm.classes.SVR'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('SVR', <class 'sklearn.svm.classes.SVR'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('SVR', <class 'sklearn.svm.classes.SVR'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('SVR', <class 'sklearn.svm.classes.SVR'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('SVR', <class 'sklearn.svm.classes.SVR'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('SVR', <class 'sklearn.svm.classes.SVR'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('SVR', <class 'sklearn.svm.classes.SVR'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('SVR', <class 'sklearn.svm.classes.SVR'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('SVR', <class 'sklearn.svm.classes.SVR'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('SVR', <class 'sklearn.svm.classes.SVR'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('SVR', <class 'sklearn.svm.classes.SVR'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('SVR', <class 'sklearn.svm.classes.SVR'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('SVR', <class 'sklearn.svm.classes.SVR'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('SVR', <class 'sklearn.svm.classes.SVR'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('SVR', <class 'sklearn.svm.classes.SVR'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('SVR', <class 'sklearn.svm.classes.SVR'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('SVR', <class 'sklearn.svm.classes.SVR'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('SVR', <class 'sklearn.svm.classes.SVR'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('SVR', <class 'sklearn.svm.classes.SVR'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('SVR', <class 'sklearn.svm.classes.SVR'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('SVR', <class 'sklearn.svm.classes.SVR'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('SVR', <class 'sklearn.svm.classes.SVR'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('SelectFdr', <class 'sklearn.feature_selection.univariate_selection.SelectFdr'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('SelectFdr', <class 'sklearn.feature_selection.univariate_selection.SelectFdr'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('SelectFdr', <class 'sklearn.feature_selection.univariate_selection.SelectFdr'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('SelectFdr', <class 'sklearn.feature_selection.univariate_selection.SelectFdr'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('SelectFdr', <class 'sklearn.feature_selection.univariate_selection.SelectFdr'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('SelectFdr', <class 'sklearn.feature_selection.univariate_selection.SelectFdr'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('SelectFdr', <class 'sklearn.feature_selection.univariate_selection.SelectFdr'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('SelectFdr', <class 'sklearn.feature_selection.univariate_selection.SelectFdr'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('SelectFdr', <class 'sklearn.feature_selection.univariate_selection.SelectFdr'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('SelectFdr', <class 'sklearn.feature_selection.univariate_selection.SelectFdr'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('SelectFdr', <class 'sklearn.feature_selection.univariate_selection.SelectFdr'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('SelectFdr', <class 'sklearn.feature_selection.univariate_selection.SelectFdr'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('SelectFdr', <class 'sklearn.feature_selection.univariate_selection.SelectFdr'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('SelectFdr', <class 'sklearn.feature_selection.univariate_selection.SelectFdr'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('SelectFdr', <class 'sklearn.feature_selection.univariate_selection.SelectFdr'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('SelectFdr', <class 'sklearn.feature_selection.univariate_selection.SelectFdr'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('SelectFdr', <class 'sklearn.feature_selection.univariate_selection.SelectFdr'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('SelectFdr', <class 'sklearn.feature_selection.univariate_selection.SelectFdr'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('SelectFpr', <class 'sklearn.feature_selection.univariate_selection.SelectFpr'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('SelectFpr', <class 'sklearn.feature_selection.univariate_selection.SelectFpr'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('SelectFpr', <class 'sklearn.feature_selection.univariate_selection.SelectFpr'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('SelectFpr', <class 'sklearn.feature_selection.univariate_selection.SelectFpr'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('SelectFpr', <class 'sklearn.feature_selection.univariate_selection.SelectFpr'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('SelectFpr', <class 'sklearn.feature_selection.univariate_selection.SelectFpr'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('SelectFpr', <class 'sklearn.feature_selection.univariate_selection.SelectFpr'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('SelectFpr', <class 'sklearn.feature_selection.univariate_selection.SelectFpr'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('SelectFpr', <class 'sklearn.feature_selection.univariate_selection.SelectFpr'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('SelectFpr', <class 'sklearn.feature_selection.univariate_selection.SelectFpr'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('SelectFpr', <class 'sklearn.feature_selection.univariate_selection.SelectFpr'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('SelectFpr', <class 'sklearn.feature_selection.univariate_selection.SelectFpr'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('SelectFpr', <class 'sklearn.feature_selection.univariate_selection.SelectFpr'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('SelectFpr', <class 'sklearn.feature_selection.univariate_selection.SelectFpr'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('SelectFpr', <class 'sklearn.feature_selection.univariate_selection.SelectFpr'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('SelectFpr', <class 'sklearn.feature_selection.univariate_selection.SelectFpr'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('SelectFpr', <class 'sklearn.feature_selection.univariate_selection.SelectFpr'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('SelectFpr', <class 'sklearn.feature_selection.univariate_selection.SelectFpr'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('SelectFwe', <class 'sklearn.feature_selection.univariate_selection.SelectFwe'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('SelectFwe', <class 'sklearn.feature_selection.univariate_selection.SelectFwe'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('SelectFwe', <class 'sklearn.feature_selection.univariate_selection.SelectFwe'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('SelectFwe', <class 'sklearn.feature_selection.univariate_selection.SelectFwe'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('SelectFwe', <class 'sklearn.feature_selection.univariate_selection.SelectFwe'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('SelectFwe', <class 'sklearn.feature_selection.univariate_selection.SelectFwe'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('SelectFwe', <class 'sklearn.feature_selection.univariate_selection.SelectFwe'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('SelectFwe', <class 'sklearn.feature_selection.univariate_selection.SelectFwe'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('SelectFwe', <class 'sklearn.feature_selection.univariate_selection.SelectFwe'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('SelectFwe', <class 'sklearn.feature_selection.univariate_selection.SelectFwe'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('SelectFwe', <class 'sklearn.feature_selection.univariate_selection.SelectFwe'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('SelectFwe', <class 'sklearn.feature_selection.univariate_selection.SelectFwe'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('SelectFwe', <class 'sklearn.feature_selection.univariate_selection.SelectFwe'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('SelectFwe', <class 'sklearn.feature_selection.univariate_selection.SelectFwe'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('SelectFwe', <class 'sklearn.feature_selection.univariate_selection.SelectFwe'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('SelectFwe', <class 'sklearn.feature_selection.univariate_selection.SelectFwe'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('SelectFwe', <class 'sklearn.feature_selection.univariate_selection.SelectFwe'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('SelectFwe', <class 'sklearn.feature_selection.univariate_selection.SelectFwe'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('SelectKBest', <class 'sklearn.feature_selection.univariate_selection.SelectKBest'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('SelectKBest', <class 'sklearn.feature_selection.univariate_selection.SelectKBest'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('SelectKBest', <class 'sklearn.feature_selection.univariate_selection.SelectKBest'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('SelectKBest', <class 'sklearn.feature_selection.univariate_selection.SelectKBest'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('SelectKBest', <class 'sklearn.feature_selection.univariate_selection.SelectKBest'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('SelectKBest', <class 'sklearn.feature_selection.univariate_selection.SelectKBest'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('SelectKBest', <class 'sklearn.feature_selection.univariate_selection.SelectKBest'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('SelectKBest', <class 'sklearn.feature_selection.univariate_selection.SelectKBest'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('SelectKBest', <class 'sklearn.feature_selection.univariate_selection.SelectKBest'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('SelectKBest', <class 'sklearn.feature_selection.univariate_selection.SelectKBest'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('SelectKBest', <class 'sklearn.feature_selection.univariate_selection.SelectKBest'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('SelectKBest', <class 'sklearn.feature_selection.univariate_selection.SelectKBest'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('SelectKBest', <class 'sklearn.feature_selection.univariate_selection.SelectKBest'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('SelectKBest', <class 'sklearn.feature_selection.univariate_selection.SelectKBest'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('SelectKBest', <class 'sklearn.feature_selection.univariate_selection.SelectKBest'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('SelectKBest', <class 'sklearn.feature_selection.univariate_selection.SelectKBest'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('SelectKBest', <class 'sklearn.feature_selection.univariate_selection.SelectKBest'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('SelectKBest', <class 'sklearn.feature_selection.univariate_selection.SelectKBest'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('SelectPercentile', <class 'sklearn.feature_selection.univariate_selection.SelectPercentile'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('SelectPercentile', <class 'sklearn.feature_selection.univariate_selection.SelectPercentile'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('SelectPercentile', <class 'sklearn.feature_selection.univariate_selection.SelectPercentile'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('SelectPercentile', <class 'sklearn.feature_selection.univariate_selection.SelectPercentile'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('SelectPercentile', <class 'sklearn.feature_selection.univariate_selection.SelectPercentile'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('SelectPercentile', <class 'sklearn.feature_selection.univariate_selection.SelectPercentile'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('SelectPercentile', <class 'sklearn.feature_selection.univariate_selection.SelectPercentile'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('SelectPercentile', <class 'sklearn.feature_selection.univariate_selection.SelectPercentile'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('SelectPercentile', <class 'sklearn.feature_selection.univariate_selection.SelectPercentile'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('SelectPercentile', <class 'sklearn.feature_selection.univariate_selection.SelectPercentile'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('SelectPercentile', <class 'sklearn.feature_selection.univariate_selection.SelectPercentile'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('SelectPercentile', <class 'sklearn.feature_selection.univariate_selection.SelectPercentile'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('SelectPercentile', <class 'sklearn.feature_selection.univariate_selection.SelectPercentile'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('SelectPercentile', <class 'sklearn.feature_selection.univariate_selection.SelectPercentile'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('SelectPercentile', <class 'sklearn.feature_selection.univariate_selection.SelectPercentile'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('SelectPercentile', <class 'sklearn.feature_selection.univariate_selection.SelectPercentile'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('SelectPercentile', <class 'sklearn.feature_selection.univariate_selection.SelectPercentile'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('SelectPercentile', <class 'sklearn.feature_selection.univariate_selection.SelectPercentile'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('ShrunkCovariance', <class 'sklearn.covariance.shrunk_covariance_.ShrunkCovariance'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('ShrunkCovariance', <class 'sklearn.covariance.shrunk_covariance_.ShrunkCovariance'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('ShrunkCovariance', <class 'sklearn.covariance.shrunk_covariance_.ShrunkCovariance'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('ShrunkCovariance', <class 'sklearn.covariance.shrunk_covariance_.ShrunkCovariance'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('ShrunkCovariance', <class 'sklearn.covariance.shrunk_covariance_.ShrunkCovariance'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('ShrunkCovariance', <class 'sklearn.covariance.shrunk_covariance_.ShrunkCovariance'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('ShrunkCovariance', <class 'sklearn.covariance.shrunk_covariance_.ShrunkCovariance'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('ShrunkCovariance', <class 'sklearn.covariance.shrunk_covariance_.ShrunkCovariance'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('ShrunkCovariance', <class 'sklearn.covariance.shrunk_covariance_.ShrunkCovariance'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('ShrunkCovariance', <class 'sklearn.covariance.shrunk_covariance_.ShrunkCovariance'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('ShrunkCovariance', <class 'sklearn.covariance.shrunk_covariance_.ShrunkCovariance'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('ShrunkCovariance', <class 'sklearn.covariance.shrunk_covariance_.ShrunkCovariance'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('ShrunkCovariance', <class 'sklearn.covariance.shrunk_covariance_.ShrunkCovariance'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('ShrunkCovariance', <class 'sklearn.covariance.shrunk_covariance_.ShrunkCovariance'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('ShrunkCovariance', <class 'sklearn.covariance.shrunk_covariance_.ShrunkCovariance'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('SkewedChi2Sampler', <class 'sklearn.kernel_approximation.SkewedChi2Sampler'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('SkewedChi2Sampler', <class 'sklearn.kernel_approximation.SkewedChi2Sampler'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('SkewedChi2Sampler', <class 'sklearn.kernel_approximation.SkewedChi2Sampler'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('SkewedChi2Sampler', <class 'sklearn.kernel_approximation.SkewedChi2Sampler'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('SkewedChi2Sampler', <class 'sklearn.kernel_approximation.SkewedChi2Sampler'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('SkewedChi2Sampler', <class 'sklearn.kernel_approximation.SkewedChi2Sampler'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('SkewedChi2Sampler', <class 'sklearn.kernel_approximation.SkewedChi2Sampler'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('SkewedChi2Sampler', <class 'sklearn.kernel_approximation.SkewedChi2Sampler'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('SkewedChi2Sampler', <class 'sklearn.kernel_approximation.SkewedChi2Sampler'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('SkewedChi2Sampler', <class 'sklearn.kernel_approximation.SkewedChi2Sampler'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('SkewedChi2Sampler', <class 'sklearn.kernel_approximation.SkewedChi2Sampler'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('SkewedChi2Sampler', <class 'sklearn.kernel_approximation.SkewedChi2Sampler'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('SkewedChi2Sampler', <class 'sklearn.kernel_approximation.SkewedChi2Sampler'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('SkewedChi2Sampler', <class 'sklearn.kernel_approximation.SkewedChi2Sampler'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('SkewedChi2Sampler', <class 'sklearn.kernel_approximation.SkewedChi2Sampler'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('SkewedChi2Sampler', <class 'sklearn.kernel_approximation.SkewedChi2Sampler'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('SkewedChi2Sampler', <class 'sklearn.kernel_approximation.SkewedChi2Sampler'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('SkewedChi2Sampler', <class 'sklearn.kernel_approximation.SkewedChi2Sampler'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('SparsePCA', <class 'sklearn.decomposition.sparse_pca.SparsePCA'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('SparsePCA', <class 'sklearn.decomposition.sparse_pca.SparsePCA'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('SparsePCA', <class 'sklearn.decomposition.sparse_pca.SparsePCA'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('SparsePCA', <class 'sklearn.decomposition.sparse_pca.SparsePCA'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('SparsePCA', <class 'sklearn.decomposition.sparse_pca.SparsePCA'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('SparsePCA', <class 'sklearn.decomposition.sparse_pca.SparsePCA'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('SparsePCA', <class 'sklearn.decomposition.sparse_pca.SparsePCA'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('SparsePCA', <class 'sklearn.decomposition.sparse_pca.SparsePCA'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('SparsePCA', <class 'sklearn.decomposition.sparse_pca.SparsePCA'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('SparsePCA', <class 'sklearn.decomposition.sparse_pca.SparsePCA'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('SparsePCA', <class 'sklearn.decomposition.sparse_pca.SparsePCA'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('SparsePCA', <class 'sklearn.decomposition.sparse_pca.SparsePCA'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('SparsePCA', <class 'sklearn.decomposition.sparse_pca.SparsePCA'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('SparsePCA', <class 'sklearn.decomposition.sparse_pca.SparsePCA'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('SparsePCA', <class 'sklearn.decomposition.sparse_pca.SparsePCA'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('SparsePCA', <class 'sklearn.decomposition.sparse_pca.SparsePCA'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('SparsePCA', <class 'sklearn.decomposition.sparse_pca.SparsePCA'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('SparsePCA', <class 'sklearn.decomposition.sparse_pca.SparsePCA'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('SparseRandomProjection', <class 'sklearn.random_projection.SparseRandomProjection'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('SparseRandomProjection', <class 'sklearn.random_projection.SparseRandomProjection'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('SparseRandomProjection', <class 'sklearn.random_projection.SparseRandomProjection'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('SparseRandomProjection', <class 'sklearn.random_projection.SparseRandomProjection'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('SparseRandomProjection', <class 'sklearn.random_projection.SparseRandomProjection'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('SparseRandomProjection', <class 'sklearn.random_projection.SparseRandomProjection'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('SparseRandomProjection', <class 'sklearn.random_projection.SparseRandomProjection'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('SparseRandomProjection', <class 'sklearn.random_projection.SparseRandomProjection'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('SparseRandomProjection', <class 'sklearn.random_projection.SparseRandomProjection'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('SparseRandomProjection', <class 'sklearn.random_projection.SparseRandomProjection'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('SparseRandomProjection', <class 'sklearn.random_projection.SparseRandomProjection'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('SparseRandomProjection', <class 'sklearn.random_projection.SparseRandomProjection'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('SparseRandomProjection', <class 'sklearn.random_projection.SparseRandomProjection'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('SparseRandomProjection', <class 'sklearn.random_projection.SparseRandomProjection'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('SparseRandomProjection', <class 'sklearn.random_projection.SparseRandomProjection'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('SparseRandomProjection', <class 'sklearn.random_projection.SparseRandomProjection'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('SparseRandomProjection', <class 'sklearn.random_projection.SparseRandomProjection'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('SparseRandomProjection', <class 'sklearn.random_projection.SparseRandomProjection'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('SpectralClustering', <class 'sklearn.cluster.spectral.SpectralClustering'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('SpectralClustering', <class 'sklearn.cluster.spectral.SpectralClustering'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('SpectralClustering', <class 'sklearn.cluster.spectral.SpectralClustering'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('SpectralClustering', <class 'sklearn.cluster.spectral.SpectralClustering'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('SpectralClustering', <class 'sklearn.cluster.spectral.SpectralClustering'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('SpectralClustering', <class 'sklearn.cluster.spectral.SpectralClustering'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('SpectralClustering', <class 'sklearn.cluster.spectral.SpectralClustering'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('SpectralClustering', <class 'sklearn.cluster.spectral.SpectralClustering'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('SpectralClustering', <class 'sklearn.cluster.spectral.SpectralClustering'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('SpectralClustering', <class 'sklearn.cluster.spectral.SpectralClustering'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('SpectralClustering', <class 'sklearn.cluster.spectral.SpectralClustering'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('SpectralClustering', <class 'sklearn.cluster.spectral.SpectralClustering'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('SpectralClustering', <class 'sklearn.cluster.spectral.SpectralClustering'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('SpectralClustering', <class 'sklearn.cluster.spectral.SpectralClustering'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('SpectralClustering', <class 'sklearn.cluster.spectral.SpectralClustering'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('SpectralClustering', <class 'sklearn.cluster.spectral.SpectralClustering'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('SpectralClustering', <class 'sklearn.cluster.spectral.SpectralClustering'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('SpectralClustering', <class 'sklearn.cluster.spectral.SpectralClustering'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('SpectralEmbedding', <class 'sklearn.manifold.spectral_embedding_.SpectralEmbedding'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('SpectralEmbedding', <class 'sklearn.manifold.spectral_embedding_.SpectralEmbedding'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('SpectralEmbedding', <class 'sklearn.manifold.spectral_embedding_.SpectralEmbedding'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('SpectralEmbedding', <class 'sklearn.manifold.spectral_embedding_.SpectralEmbedding'>) ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/manifold/spectral_embedding_.py:217: UserWarning: Graph is not fully connected, spectral embedding may not work as expected.
warnings.warn("Graph is not fully connected, spectral embedding"
ok
sklearn.tests.test_common.test_non_meta_estimators('SpectralEmbedding', <class 'sklearn.manifold.spectral_embedding_.SpectralEmbedding'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('SpectralEmbedding', <class 'sklearn.manifold.spectral_embedding_.SpectralEmbedding'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('SpectralEmbedding', <class 'sklearn.manifold.spectral_embedding_.SpectralEmbedding'>) ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/manifold/spectral_embedding_.py:217: UserWarning: Graph is not fully connected, spectral embedding may not work as expected.
warnings.warn("Graph is not fully connected, spectral embedding"
ok
sklearn.tests.test_common.test_non_meta_estimators('SpectralEmbedding', <class 'sklearn.manifold.spectral_embedding_.SpectralEmbedding'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('SpectralEmbedding', <class 'sklearn.manifold.spectral_embedding_.SpectralEmbedding'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('SpectralEmbedding', <class 'sklearn.manifold.spectral_embedding_.SpectralEmbedding'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('SpectralEmbedding', <class 'sklearn.manifold.spectral_embedding_.SpectralEmbedding'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('SpectralEmbedding', <class 'sklearn.manifold.spectral_embedding_.SpectralEmbedding'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('SpectralEmbedding', <class 'sklearn.manifold.spectral_embedding_.SpectralEmbedding'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('SpectralEmbedding', <class 'sklearn.manifold.spectral_embedding_.SpectralEmbedding'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('StandardScaler', <class 'sklearn.preprocessing.data.StandardScaler'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('StandardScaler', <class 'sklearn.preprocessing.data.StandardScaler'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('StandardScaler', <class 'sklearn.preprocessing.data.StandardScaler'>) ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/validation.py:420: DataConversionWarning: Data with input dtype object was converted to float64 by StandardScaler.
warnings.warn(msg, DataConversionWarning)
ok
sklearn.tests.test_common.test_non_meta_estimators('StandardScaler', <class 'sklearn.preprocessing.data.StandardScaler'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('StandardScaler', <class 'sklearn.preprocessing.data.StandardScaler'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('StandardScaler', <class 'sklearn.preprocessing.data.StandardScaler'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('StandardScaler', <class 'sklearn.preprocessing.data.StandardScaler'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('StandardScaler', <class 'sklearn.preprocessing.data.StandardScaler'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('StandardScaler', <class 'sklearn.preprocessing.data.StandardScaler'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('StandardScaler', <class 'sklearn.preprocessing.data.StandardScaler'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('StandardScaler', <class 'sklearn.preprocessing.data.StandardScaler'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('StandardScaler', <class 'sklearn.preprocessing.data.StandardScaler'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('StandardScaler', <class 'sklearn.preprocessing.data.StandardScaler'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('StandardScaler', <class 'sklearn.preprocessing.data.StandardScaler'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('StandardScaler', <class 'sklearn.preprocessing.data.StandardScaler'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('StandardScaler', <class 'sklearn.preprocessing.data.StandardScaler'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('StandardScaler', <class 'sklearn.preprocessing.data.StandardScaler'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('StandardScaler', <class 'sklearn.preprocessing.data.StandardScaler'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('TSNE', <class 'sklearn.manifold.t_sne.TSNE'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('TSNE', <class 'sklearn.manifold.t_sne.TSNE'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('TSNE', <class 'sklearn.manifold.t_sne.TSNE'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('TSNE', <class 'sklearn.manifold.t_sne.TSNE'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('TSNE', <class 'sklearn.manifold.t_sne.TSNE'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('TSNE', <class 'sklearn.manifold.t_sne.TSNE'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('TSNE', <class 'sklearn.manifold.t_sne.TSNE'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('TSNE', <class 'sklearn.manifold.t_sne.TSNE'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('TSNE', <class 'sklearn.manifold.t_sne.TSNE'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('TSNE', <class 'sklearn.manifold.t_sne.TSNE'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('TSNE', <class 'sklearn.manifold.t_sne.TSNE'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('TSNE', <class 'sklearn.manifold.t_sne.TSNE'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('TSNE', <class 'sklearn.manifold.t_sne.TSNE'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('TSNE', <class 'sklearn.manifold.t_sne.TSNE'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('TSNE', <class 'sklearn.manifold.t_sne.TSNE'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('TheilSenRegressor', <class 'sklearn.linear_model.theil_sen.TheilSenRegressor'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('TheilSenRegressor', <class 'sklearn.linear_model.theil_sen.TheilSenRegressor'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('TheilSenRegressor', <class 'sklearn.linear_model.theil_sen.TheilSenRegressor'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('TheilSenRegressor', <class 'sklearn.linear_model.theil_sen.TheilSenRegressor'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('TheilSenRegressor', <class 'sklearn.linear_model.theil_sen.TheilSenRegressor'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('TheilSenRegressor', <class 'sklearn.linear_model.theil_sen.TheilSenRegressor'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('TheilSenRegressor', <class 'sklearn.linear_model.theil_sen.TheilSenRegressor'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('TheilSenRegressor', <class 'sklearn.linear_model.theil_sen.TheilSenRegressor'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('TheilSenRegressor', <class 'sklearn.linear_model.theil_sen.TheilSenRegressor'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('TheilSenRegressor', <class 'sklearn.linear_model.theil_sen.TheilSenRegressor'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('TheilSenRegressor', <class 'sklearn.linear_model.theil_sen.TheilSenRegressor'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('TheilSenRegressor', <class 'sklearn.linear_model.theil_sen.TheilSenRegressor'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('TheilSenRegressor', <class 'sklearn.linear_model.theil_sen.TheilSenRegressor'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('TheilSenRegressor', <class 'sklearn.linear_model.theil_sen.TheilSenRegressor'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('TheilSenRegressor', <class 'sklearn.linear_model.theil_sen.TheilSenRegressor'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('TheilSenRegressor', <class 'sklearn.linear_model.theil_sen.TheilSenRegressor'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('TheilSenRegressor', <class 'sklearn.linear_model.theil_sen.TheilSenRegressor'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('TheilSenRegressor', <class 'sklearn.linear_model.theil_sen.TheilSenRegressor'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('TheilSenRegressor', <class 'sklearn.linear_model.theil_sen.TheilSenRegressor'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('TheilSenRegressor', <class 'sklearn.linear_model.theil_sen.TheilSenRegressor'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('TheilSenRegressor', <class 'sklearn.linear_model.theil_sen.TheilSenRegressor'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('TheilSenRegressor', <class 'sklearn.linear_model.theil_sen.TheilSenRegressor'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('VBGMM', <class 'sklearn.mixture.dpgmm.VBGMM'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('VBGMM', <class 'sklearn.mixture.dpgmm.VBGMM'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('VBGMM', <class 'sklearn.mixture.dpgmm.VBGMM'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('VBGMM', <class 'sklearn.mixture.dpgmm.VBGMM'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('VBGMM', <class 'sklearn.mixture.dpgmm.VBGMM'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('VBGMM', <class 'sklearn.mixture.dpgmm.VBGMM'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('VBGMM', <class 'sklearn.mixture.dpgmm.VBGMM'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('VBGMM', <class 'sklearn.mixture.dpgmm.VBGMM'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('VBGMM', <class 'sklearn.mixture.dpgmm.VBGMM'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('VBGMM', <class 'sklearn.mixture.dpgmm.VBGMM'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('VBGMM', <class 'sklearn.mixture.dpgmm.VBGMM'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('VBGMM', <class 'sklearn.mixture.dpgmm.VBGMM'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('VBGMM', <class 'sklearn.mixture.dpgmm.VBGMM'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('VBGMM', <class 'sklearn.mixture.dpgmm.VBGMM'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('VBGMM', <class 'sklearn.mixture.dpgmm.VBGMM'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('VarianceThreshold', <class 'sklearn.feature_selection.variance_threshold.VarianceThreshold'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('VarianceThreshold', <class 'sklearn.feature_selection.variance_threshold.VarianceThreshold'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('VarianceThreshold', <class 'sklearn.feature_selection.variance_threshold.VarianceThreshold'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('VarianceThreshold', <class 'sklearn.feature_selection.variance_threshold.VarianceThreshold'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('VarianceThreshold', <class 'sklearn.feature_selection.variance_threshold.VarianceThreshold'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('VarianceThreshold', <class 'sklearn.feature_selection.variance_threshold.VarianceThreshold'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('VarianceThreshold', <class 'sklearn.feature_selection.variance_threshold.VarianceThreshold'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('VarianceThreshold', <class 'sklearn.feature_selection.variance_threshold.VarianceThreshold'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('VarianceThreshold', <class 'sklearn.feature_selection.variance_threshold.VarianceThreshold'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('VarianceThreshold', <class 'sklearn.feature_selection.variance_threshold.VarianceThreshold'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('VarianceThreshold', <class 'sklearn.feature_selection.variance_threshold.VarianceThreshold'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('VarianceThreshold', <class 'sklearn.feature_selection.variance_threshold.VarianceThreshold'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('VarianceThreshold', <class 'sklearn.feature_selection.variance_threshold.VarianceThreshold'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('VarianceThreshold', <class 'sklearn.feature_selection.variance_threshold.VarianceThreshold'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('VarianceThreshold', <class 'sklearn.feature_selection.variance_threshold.VarianceThreshold'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('VarianceThreshold', <class 'sklearn.feature_selection.variance_threshold.VarianceThreshold'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('VarianceThreshold', <class 'sklearn.feature_selection.variance_threshold.VarianceThreshold'>) ... ok
sklearn.tests.test_common.test_non_meta_estimators('VarianceThreshold', <class 'sklearn.feature_selection.variance_threshold.VarianceThreshold'>) ... ok
sklearn.tests.test_common.test_configure ... ok
sklearn.tests.test_common.test_class_weight_balanced_linear_classifiers('LinearSVC', <class 'sklearn.svm.classes.LinearSVC'>) ... ok
sklearn.tests.test_common.test_class_weight_balanced_linear_classifiers('LogisticRegression', <class 'sklearn.linear_model.logistic.LogisticRegression'>) ... ok
sklearn.tests.test_common.test_class_weight_balanced_linear_classifiers('LogisticRegressionCV', <class 'sklearn.linear_model.logistic.LogisticRegressionCV'>) ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cross_validation.py:516: Warning: The least populated class in y has only 2 members, which is too few. The minimum number of labels for any class cannot be less than n_folds=3.
% (min_labels, self.n_folds)), Warning)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/cross_validation.py:516: Warning: The least populated class in y has only 2 members, which is too few. The minimum number of labels for any class cannot be less than n_folds=3.
% (min_labels, self.n_folds)), Warning)
ok
sklearn.tests.test_common.test_class_weight_balanced_linear_classifiers('PassiveAggressiveClassifier', <class 'sklearn.linear_model.passive_aggressive.PassiveAggressiveClassifier'>) ... ok
sklearn.tests.test_common.test_class_weight_balanced_linear_classifiers('Perceptron', <class 'sklearn.linear_model.perceptron.Perceptron'>) ... ok
sklearn.tests.test_common.test_class_weight_balanced_linear_classifiers('RidgeClassifier', <class 'sklearn.linear_model.ridge.RidgeClassifier'>) ... ok
sklearn.tests.test_common.test_class_weight_balanced_linear_classifiers('RidgeClassifierCV', <class 'sklearn.linear_model.ridge.RidgeClassifierCV'>) ... ok
sklearn.tests.test_common.test_class_weight_balanced_linear_classifiers('SGDClassifier', <class 'sklearn.linear_model.stochastic_gradient.SGDClassifier'>) ... ok
sklearn.tests.test_common.test_root_import_all_completeness ... ok
sklearn.tests.test_common.test_non_transformer_estimators_n_iter('ElasticNet', ElasticNet(alpha=1.0, copy_X=True, fit_intercept=True, l1_ratio=0.5, ... ok
sklearn.tests.test_common.test_non_transformer_estimators_n_iter('ElasticNetCV', ElasticNetCV(alphas=None, copy_X=True, cv=None, eps=0.001, fit_intercept=True, ... ok
sklearn.tests.test_common.test_non_transformer_estimators_n_iter('LarsCV', LarsCV(copy_X=True, cv=None, eps=2.2204460492503131e-16, fit_intercept=True, ... ok
sklearn.tests.test_common.test_non_transformer_estimators_n_iter('Lasso', Lasso(alpha=1.0, copy_X=True, fit_intercept=True, max_iter=1000, ... ok
sklearn.tests.test_common.test_non_transformer_estimators_n_iter('LassoCV', LassoCV(alphas=None, copy_X=True, cv=None, eps=0.001, fit_intercept=True, ... ok
sklearn.tests.test_common.test_non_transformer_estimators_n_iter('LassoLars', LassoLars(alpha=0.0, copy_X=True, eps=2.2204460492503131e-16, ... ok
sklearn.tests.test_common.test_non_transformer_estimators_n_iter('LassoLarsCV', LassoLarsCV(copy_X=True, cv=None, eps=2.2204460492503131e-16, ... ok
sklearn.tests.test_common.test_non_transformer_estimators_n_iter('LassoLarsIC', LassoLarsIC(copy_X=True, criterion='aic', eps=2.2204460492503131e-16, ... ok
sklearn.tests.test_common.test_non_transformer_estimators_n_iter('LinearSVR', LinearSVR(C=1.0, dual=True, epsilon=0.0, fit_intercept=True, ... ok
sklearn.tests.test_common.test_non_transformer_estimators_n_iter('MultiTaskElasticNet', MultiTaskElasticNet(alpha=1.0, copy_X=True, fit_intercept=True, l1_ratio=0.5, ... ok
sklearn.tests.test_common.test_non_transformer_estimators_n_iter('MultiTaskElasticNetCV', MultiTaskElasticNetCV(alphas=None, copy_X=True, cv=None, eps=0.001, ... ok
sklearn.tests.test_common.test_non_transformer_estimators_n_iter('MultiTaskLasso', MultiTaskLasso(alpha=1.0, copy_X=True, fit_intercept=True, max_iter=1000, ... ok
sklearn.tests.test_common.test_non_transformer_estimators_n_iter('MultiTaskLassoCV', MultiTaskLassoCV(alphas=None, copy_X=True, cv=None, eps=0.001, ... ok
sklearn.tests.test_common.test_non_transformer_estimators_n_iter('OrthogonalMatchingPursuitCV', OrthogonalMatchingPursuitCV(copy=True, cv=None, fit_intercept=True, ... ok
sklearn.tests.test_common.test_non_transformer_estimators_n_iter('TheilSenRegressor', TheilSenRegressor(copy_X=True, fit_intercept=True, max_iter=300, ... ok
sklearn.tests.test_common.test_non_transformer_estimators_n_iter('LabelPropagation', LabelPropagation(alpha=1, gamma=20, kernel='rbf', max_iter=30, n_neighbors=7, ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/metrics/pairwise.py:811: 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:349: RuntimeWarning: underflow encountered in true_divide
affinity_matrix /= normalizer[:, np.newaxis]
ok
sklearn.tests.test_common.test_non_transformer_estimators_n_iter('LabelSpreading', LabelSpreading(alpha=0.2, gamma=20, kernel='rbf', max_iter=30, n_neighbors=7, ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/metrics/pairwise.py:811: RuntimeWarning: underflow encountered in exp
np.exp(K, K) # exponentiate K in-place
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/graph.py:175: RuntimeWarning: underflow encountered in true_divide
lap /= w
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/utils/graph.py:176: RuntimeWarning: underflow encountered in true_divide
lap /= w[:, np.newaxis]
ok
sklearn.tests.test_common.test_non_transformer_estimators_n_iter('AffinityPropagation', AffinityPropagation(affinity='euclidean', convergence_iter=15, copy=True, ... ok
sklearn.tests.test_common.test_non_transformer_estimators_n_iter('KMeans', KMeans(copy_x=True, init='k-means++', max_iter=300, n_clusters=8, n_init=10, ... ok
sklearn.tests.test_common.test_non_transformer_estimators_n_iter('MiniBatchKMeans', MiniBatchKMeans(batch_size=100, compute_labels=True, init='k-means++', ... ok
sklearn.tests.test_common.test_transformer_n_iter('CCA', CCA(copy=True, max_iter=500, n_components=2, scale=True, tol=1e-06)) ... ok
sklearn.tests.test_common.test_transformer_n_iter('DictionaryLearning', DictionaryLearning(alpha=1, code_init=None, dict_init=None, ... ok
sklearn.tests.test_common.test_transformer_n_iter('FactorAnalysis', FactorAnalysis(copy=True, iterated_power=3, max_iter=1000, n_components=None, ... ok
sklearn.tests.test_common.test_transformer_n_iter('FastICA', FastICA(algorithm='parallel', fun='logcosh', fun_args=None, max_iter=200, ... ok
sklearn.tests.test_common.test_transformer_n_iter('KMeans', KMeans(copy_x=True, init='k-means++', max_iter=300, n_clusters=8, n_init=10, ... ok
sklearn.tests.test_common.test_transformer_n_iter('LatentDirichletAllocation', LatentDirichletAllocation(batch_size=128, doc_topic_prior=None, ... ok
sklearn.tests.test_common.test_transformer_n_iter('LinearSVC', LinearSVC(C=1.0, class_weight=None, dual=True, fit_intercept=True, ... ok
sklearn.tests.test_common.test_transformer_n_iter('LogisticRegression', LogisticRegression(C=1.0, class_weight=None, dual=False, fit_intercept=True, ... ok
sklearn.tests.test_common.test_transformer_n_iter('MiniBatchKMeans', MiniBatchKMeans(batch_size=100, compute_labels=True, init='k-means++', ... ok
sklearn.tests.test_common.test_transformer_n_iter('NMF', NMF(alpha=0.0, beta=1, eta=0.1, init=None, l1_ratio=0.0, max_iter=200, ... ok
sklearn.tests.test_common.test_transformer_n_iter('PLSCanonical', PLSCanonical(algorithm='nipals', copy=True, max_iter=500, n_components=2, ... ok
sklearn.tests.test_common.test_transformer_n_iter('PLSRegression', PLSRegression(copy=True, max_iter=500, n_components=2, scale=True, tol=1e-06)) ... ok
sklearn.tests.test_common.test_transformer_n_iter('ProjectedGradientNMF', ProjectedGradientNMF(alpha=0.0, beta=1, eta=0.1, init=None, l1_ratio=0.0, ... ok
sklearn.tests.test_common.test_transformer_n_iter('SparsePCA', SparsePCA(U_init=None, V_init=None, alpha=1, max_iter=1000, method='lars', ... ok
sklearn.tests.test_common.test_get_params_invariance('ARDRegression', <class 'sklearn.linear_model.bayes.ARDRegression'>) ... ok
sklearn.tests.test_common.test_get_params_invariance('AdaBoostClassifier', <class 'sklearn.ensemble.weight_boosting.AdaBoostClassifier'>) ... ok
sklearn.tests.test_common.test_get_params_invariance('AdaBoostRegressor', <class 'sklearn.ensemble.weight_boosting.AdaBoostRegressor'>) ... ok
sklearn.tests.test_common.test_get_params_invariance('AdditiveChi2Sampler', <class 'sklearn.kernel_approximation.AdditiveChi2Sampler'>) ... ok
sklearn.tests.test_common.test_get_params_invariance('AffinityPropagation', <class 'sklearn.cluster.affinity_propagation_.AffinityPropagation'>) ... ok
sklearn.tests.test_common.test_get_params_invariance('AgglomerativeClustering', <class 'sklearn.cluster.hierarchical.AgglomerativeClustering'>) ... ok
sklearn.tests.test_common.test_get_params_invariance('BaggingClassifier', <class 'sklearn.ensemble.bagging.BaggingClassifier'>) ... ok
sklearn.tests.test_common.test_get_params_invariance('BaggingRegressor', <class 'sklearn.ensemble.bagging.BaggingRegressor'>) ... ok
sklearn.tests.test_common.test_get_params_invariance('BayesianRidge', <class 'sklearn.linear_model.bayes.BayesianRidge'>) ... ok
sklearn.tests.test_common.test_get_params_invariance('BernoulliNB', <class 'sklearn.naive_bayes.BernoulliNB'>) ... ok
sklearn.tests.test_common.test_get_params_invariance('BernoulliRBM', <class 'sklearn.neural_network.rbm.BernoulliRBM'>) ... ok
sklearn.tests.test_common.test_get_params_invariance('Binarizer', <class 'sklearn.preprocessing.data.Binarizer'>) ... ok
sklearn.tests.test_common.test_get_params_invariance('Birch', <class 'sklearn.cluster.birch.Birch'>) ... ok
sklearn.tests.test_common.test_get_params_invariance('CCA', <class 'sklearn.cross_decomposition.cca_.CCA'>) ... ok
sklearn.tests.test_common.test_get_params_invariance('CalibratedClassifierCV', <class 'sklearn.calibration.CalibratedClassifierCV'>) ... ok
sklearn.tests.test_common.test_get_params_invariance('DBSCAN', <class 'sklearn.cluster.dbscan_.DBSCAN'>) ... ok
sklearn.tests.test_common.test_get_params_invariance('DPGMM', <class 'sklearn.mixture.dpgmm.DPGMM'>) ... ok
sklearn.tests.test_common.test_get_params_invariance('DecisionTreeClassifier', <class 'sklearn.tree.tree.DecisionTreeClassifier'>) ... ok
sklearn.tests.test_common.test_get_params_invariance('DecisionTreeRegressor', <class 'sklearn.tree.tree.DecisionTreeRegressor'>) ... ok
sklearn.tests.test_common.test_get_params_invariance('DictionaryLearning', <class 'sklearn.decomposition.dict_learning.DictionaryLearning'>) ... ok
sklearn.tests.test_common.test_get_params_invariance('ElasticNet', <class 'sklearn.linear_model.coordinate_descent.ElasticNet'>) ... ok
sklearn.tests.test_common.test_get_params_invariance('ElasticNetCV', <class 'sklearn.linear_model.coordinate_descent.ElasticNetCV'>) ... ok
sklearn.tests.test_common.test_get_params_invariance('EmpiricalCovariance', <class 'sklearn.covariance.empirical_covariance_.EmpiricalCovariance'>) ... ok
sklearn.tests.test_common.test_get_params_invariance('ExtraTreeClassifier', <class 'sklearn.tree.tree.ExtraTreeClassifier'>) ... ok
sklearn.tests.test_common.test_get_params_invariance('ExtraTreeRegressor', <class 'sklearn.tree.tree.ExtraTreeRegressor'>) ... ok
sklearn.tests.test_common.test_get_params_invariance('ExtraTreesClassifier', <class 'sklearn.ensemble.forest.ExtraTreesClassifier'>) ... ok
sklearn.tests.test_common.test_get_params_invariance('ExtraTreesRegressor', <class 'sklearn.ensemble.forest.ExtraTreesRegressor'>) ... ok
sklearn.tests.test_common.test_get_params_invariance('FactorAnalysis', <class 'sklearn.decomposition.factor_analysis.FactorAnalysis'>) ... ok
sklearn.tests.test_common.test_get_params_invariance('FastICA', <class 'sklearn.decomposition.fastica_.FastICA'>) ... ok
sklearn.tests.test_common.test_get_params_invariance('FeatureAgglomeration', <class 'sklearn.cluster.hierarchical.FeatureAgglomeration'>) ... ok
sklearn.tests.test_common.test_get_params_invariance('FeatureUnion', <class 'sklearn.pipeline.FeatureUnion'>) ... ok
sklearn.tests.test_common.test_get_params_invariance('FunctionTransformer', <class 'sklearn.preprocessing._function_transformer.FunctionTransformer'>) ... ok
sklearn.tests.test_common.test_get_params_invariance('GMM', <class 'sklearn.mixture.gmm.GMM'>) ... ok
sklearn.tests.test_common.test_get_params_invariance('GaussianNB', <class 'sklearn.naive_bayes.GaussianNB'>) ... ok
sklearn.tests.test_common.test_get_params_invariance('GaussianProcess', <class 'sklearn.gaussian_process.gaussian_process.GaussianProcess'>) ... ok
sklearn.tests.test_common.test_get_params_invariance('GaussianRandomProjection', <class 'sklearn.random_projection.GaussianRandomProjection'>) ... ok
sklearn.tests.test_common.test_get_params_invariance('GenericUnivariateSelect', <class 'sklearn.feature_selection.univariate_selection.GenericUnivariateSelect'>) ... ok
sklearn.tests.test_common.test_get_params_invariance('GradientBoostingClassifier', <class 'sklearn.ensemble.gradient_boosting.GradientBoostingClassifier'>) ... ok
sklearn.tests.test_common.test_get_params_invariance('GradientBoostingRegressor', <class 'sklearn.ensemble.gradient_boosting.GradientBoostingRegressor'>) ... ok
sklearn.tests.test_common.test_get_params_invariance('GraphLasso', <class 'sklearn.covariance.graph_lasso_.GraphLasso'>) ... ok
sklearn.tests.test_common.test_get_params_invariance('GraphLassoCV', <class 'sklearn.covariance.graph_lasso_.GraphLassoCV'>) ... ok
sklearn.tests.test_common.test_get_params_invariance('GridSearchCV', <class 'sklearn.grid_search.GridSearchCV'>) ... ok
sklearn.tests.test_common.test_get_params_invariance('Imputer', <class 'sklearn.preprocessing.imputation.Imputer'>) ... ok
sklearn.tests.test_common.test_get_params_invariance('IncrementalPCA', <class 'sklearn.decomposition.incremental_pca.IncrementalPCA'>) ... ok
sklearn.tests.test_common.test_get_params_invariance('Isomap', <class 'sklearn.manifold.isomap.Isomap'>) ... ok
sklearn.tests.test_common.test_get_params_invariance('KMeans', <class 'sklearn.cluster.k_means_.KMeans'>) ... ok
sklearn.tests.test_common.test_get_params_invariance('KNeighborsClassifier', <class 'sklearn.neighbors.classification.KNeighborsClassifier'>) ... ok
sklearn.tests.test_common.test_get_params_invariance('KNeighborsRegressor', <class 'sklearn.neighbors.regression.KNeighborsRegressor'>) ... ok
sklearn.tests.test_common.test_get_params_invariance('KernelCenterer', <class 'sklearn.preprocessing.data.KernelCenterer'>) ... ok
sklearn.tests.test_common.test_get_params_invariance('KernelDensity', <class 'sklearn.neighbors.kde.KernelDensity'>) ... ok
sklearn.tests.test_common.test_get_params_invariance('KernelPCA', <class 'sklearn.decomposition.kernel_pca.KernelPCA'>) ... ok
sklearn.tests.test_common.test_get_params_invariance('KernelRidge', <class 'sklearn.kernel_ridge.KernelRidge'>) ... ok
sklearn.tests.test_common.test_get_params_invariance('LDA', <class 'sklearn.discriminant_analysis.LinearDiscriminantAnalysis'>) ... ok
sklearn.tests.test_common.test_get_params_invariance('LSHForest', <class 'sklearn.neighbors.approximate.LSHForest'>) ... ok
sklearn.tests.test_common.test_get_params_invariance('LabelPropagation', <class 'sklearn.semi_supervised.label_propagation.LabelPropagation'>) ... ok
sklearn.tests.test_common.test_get_params_invariance('LabelSpreading', <class 'sklearn.semi_supervised.label_propagation.LabelSpreading'>) ... ok
sklearn.tests.test_common.test_get_params_invariance('Lars', <class 'sklearn.linear_model.least_angle.Lars'>) ... ok
sklearn.tests.test_common.test_get_params_invariance('LarsCV', <class 'sklearn.linear_model.least_angle.LarsCV'>) ... ok
sklearn.tests.test_common.test_get_params_invariance('Lasso', <class 'sklearn.linear_model.coordinate_descent.Lasso'>) ... ok
sklearn.tests.test_common.test_get_params_invariance('LassoCV', <class 'sklearn.linear_model.coordinate_descent.LassoCV'>) ... ok
sklearn.tests.test_common.test_get_params_invariance('LassoLars', <class 'sklearn.linear_model.least_angle.LassoLars'>) ... ok
sklearn.tests.test_common.test_get_params_invariance('LassoLarsCV', <class 'sklearn.linear_model.least_angle.LassoLarsCV'>) ... ok
sklearn.tests.test_common.test_get_params_invariance('LassoLarsIC', <class 'sklearn.linear_model.least_angle.LassoLarsIC'>) ... ok
sklearn.tests.test_common.test_get_params_invariance('LatentDirichletAllocation', <class 'sklearn.decomposition.online_lda.LatentDirichletAllocation'>) ... ok
sklearn.tests.test_common.test_get_params_invariance('LedoitWolf', <class 'sklearn.covariance.shrunk_covariance_.LedoitWolf'>) ... ok
sklearn.tests.test_common.test_get_params_invariance('LinearDiscriminantAnalysis', <class 'sklearn.discriminant_analysis.LinearDiscriminantAnalysis'>) ... ok
sklearn.tests.test_common.test_get_params_invariance('LinearRegression', <class 'sklearn.linear_model.base.LinearRegression'>) ... ok
sklearn.tests.test_common.test_get_params_invariance('LinearSVC', <class 'sklearn.svm.classes.LinearSVC'>) ... ok
sklearn.tests.test_common.test_get_params_invariance('LinearSVR', <class 'sklearn.svm.classes.LinearSVR'>) ... ok
sklearn.tests.test_common.test_get_params_invariance('LocallyLinearEmbedding', <class 'sklearn.manifold.locally_linear.LocallyLinearEmbedding'>) ... ok
sklearn.tests.test_common.test_get_params_invariance('LogisticRegression', <class 'sklearn.linear_model.logistic.LogisticRegression'>) ... ok
sklearn.tests.test_common.test_get_params_invariance('LogisticRegressionCV', <class 'sklearn.linear_model.logistic.LogisticRegressionCV'>) ... ok
sklearn.tests.test_common.test_get_params_invariance('MDS', <class 'sklearn.manifold.mds.MDS'>) ... ok
sklearn.tests.test_common.test_get_params_invariance('MaxAbsScaler', <class 'sklearn.preprocessing.data.MaxAbsScaler'>) ... ok
sklearn.tests.test_common.test_get_params_invariance('MeanShift', <class 'sklearn.cluster.mean_shift_.MeanShift'>) ... ok
sklearn.tests.test_common.test_get_params_invariance('MinCovDet', <class 'sklearn.covariance.robust_covariance.MinCovDet'>) ... ok
sklearn.tests.test_common.test_get_params_invariance('MinMaxScaler', <class 'sklearn.preprocessing.data.MinMaxScaler'>) ... ok
sklearn.tests.test_common.test_get_params_invariance('MiniBatchDictionaryLearning', <class 'sklearn.decomposition.dict_learning.MiniBatchDictionaryLearning'>) ... ok
sklearn.tests.test_common.test_get_params_invariance('MiniBatchKMeans', <class 'sklearn.cluster.k_means_.MiniBatchKMeans'>) ... ok
sklearn.tests.test_common.test_get_params_invariance('MiniBatchSparsePCA', <class 'sklearn.decomposition.sparse_pca.MiniBatchSparsePCA'>) ... ok
sklearn.tests.test_common.test_get_params_invariance('MultiTaskElasticNet', <class 'sklearn.linear_model.coordinate_descent.MultiTaskElasticNet'>) ... ok
sklearn.tests.test_common.test_get_params_invariance('MultiTaskElasticNetCV', <class 'sklearn.linear_model.coordinate_descent.MultiTaskElasticNetCV'>) ... ok
sklearn.tests.test_common.test_get_params_invariance('MultiTaskLasso', <class 'sklearn.linear_model.coordinate_descent.MultiTaskLasso'>) ... ok
sklearn.tests.test_common.test_get_params_invariance('MultiTaskLassoCV', <class 'sklearn.linear_model.coordinate_descent.MultiTaskLassoCV'>) ... ok
sklearn.tests.test_common.test_get_params_invariance('MultinomialNB', <class 'sklearn.naive_bayes.MultinomialNB'>) ... ok
sklearn.tests.test_common.test_get_params_invariance('NMF', <class 'sklearn.decomposition.nmf.NMF'>) ... ok
sklearn.tests.test_common.test_get_params_invariance('NearestCentroid', <class 'sklearn.neighbors.nearest_centroid.NearestCentroid'>) ... ok
sklearn.tests.test_common.test_get_params_invariance('NearestNeighbors', <class 'sklearn.neighbors.unsupervised.NearestNeighbors'>) ... ok
sklearn.tests.test_common.test_get_params_invariance('Normalizer', <class 'sklearn.preprocessing.data.Normalizer'>) ... ok
sklearn.tests.test_common.test_get_params_invariance('NuSVC', <class 'sklearn.svm.classes.NuSVC'>) ... ok
sklearn.tests.test_common.test_get_params_invariance('NuSVR', <class 'sklearn.svm.classes.NuSVR'>) ... ok
sklearn.tests.test_common.test_get_params_invariance('Nystroem', <class 'sklearn.kernel_approximation.Nystroem'>) ... ok
sklearn.tests.test_common.test_get_params_invariance('OAS', <class 'sklearn.covariance.shrunk_covariance_.OAS'>) ... ok
sklearn.tests.test_common.test_get_params_invariance('OneClassSVM', <class 'sklearn.svm.classes.OneClassSVM'>) ... ok
sklearn.tests.test_common.test_get_params_invariance('OrthogonalMatchingPursuit', <class 'sklearn.linear_model.omp.OrthogonalMatchingPursuit'>) ... ok
sklearn.tests.test_common.test_get_params_invariance('OrthogonalMatchingPursuitCV', <class 'sklearn.linear_model.omp.OrthogonalMatchingPursuitCV'>) ... ok
sklearn.tests.test_common.test_get_params_invariance('PCA', <class 'sklearn.decomposition.pca.PCA'>) ... ok
sklearn.tests.test_common.test_get_params_invariance('PLSCanonical', <class 'sklearn.cross_decomposition.pls_.PLSCanonical'>) ... ok
sklearn.tests.test_common.test_get_params_invariance('PLSRegression', <class 'sklearn.cross_decomposition.pls_.PLSRegression'>) ... ok
sklearn.tests.test_common.test_get_params_invariance('PLSSVD', <class 'sklearn.cross_decomposition.pls_.PLSSVD'>) ... ok
sklearn.tests.test_common.test_get_params_invariance('PassiveAggressiveClassifier', <class 'sklearn.linear_model.passive_aggressive.PassiveAggressiveClassifier'>) ... ok
sklearn.tests.test_common.test_get_params_invariance('PassiveAggressiveRegressor', <class 'sklearn.linear_model.passive_aggressive.PassiveAggressiveRegressor'>) ... ok
sklearn.tests.test_common.test_get_params_invariance('Perceptron', <class 'sklearn.linear_model.perceptron.Perceptron'>) ... ok
sklearn.tests.test_common.test_get_params_invariance('Pipeline', <class 'sklearn.pipeline.Pipeline'>) ... ok
sklearn.tests.test_common.test_get_params_invariance('ProjectedGradientNMF', <class 'sklearn.decomposition.nmf.ProjectedGradientNMF'>) ... ok
sklearn.tests.test_common.test_get_params_invariance('QDA', <class 'sklearn.discriminant_analysis.QuadraticDiscriminantAnalysis'>) ... ok
sklearn.tests.test_common.test_get_params_invariance('QuadraticDiscriminantAnalysis', <class 'sklearn.discriminant_analysis.QuadraticDiscriminantAnalysis'>) ... ok
sklearn.tests.test_common.test_get_params_invariance('RANSACRegressor', <class 'sklearn.linear_model.ransac.RANSACRegressor'>) ... ok
sklearn.tests.test_common.test_get_params_invariance('RBFSampler', <class 'sklearn.kernel_approximation.RBFSampler'>) ... ok
sklearn.tests.test_common.test_get_params_invariance('RadiusNeighborsClassifier', <class 'sklearn.neighbors.classification.RadiusNeighborsClassifier'>) ... ok
sklearn.tests.test_common.test_get_params_invariance('RadiusNeighborsRegressor', <class 'sklearn.neighbors.regression.RadiusNeighborsRegressor'>) ... ok
sklearn.tests.test_common.test_get_params_invariance('RandomForestClassifier', <class 'sklearn.ensemble.forest.RandomForestClassifier'>) ... ok
sklearn.tests.test_common.test_get_params_invariance('RandomForestRegressor', <class 'sklearn.ensemble.forest.RandomForestRegressor'>) ... ok
sklearn.tests.test_common.test_get_params_invariance('RandomizedLasso', <class 'sklearn.linear_model.randomized_l1.RandomizedLasso'>) ... ok
sklearn.tests.test_common.test_get_params_invariance('RandomizedLogisticRegression', <class 'sklearn.linear_model.randomized_l1.RandomizedLogisticRegression'>) ... ok
sklearn.tests.test_common.test_get_params_invariance('RandomizedPCA', <class 'sklearn.decomposition.pca.RandomizedPCA'>) ... ok
sklearn.tests.test_common.test_get_params_invariance('RandomizedSearchCV', <class 'sklearn.grid_search.RandomizedSearchCV'>) ... ok
sklearn.tests.test_common.test_get_params_invariance('Ridge', <class 'sklearn.linear_model.ridge.Ridge'>) ... ok
sklearn.tests.test_common.test_get_params_invariance('RidgeCV', <class 'sklearn.linear_model.ridge.RidgeCV'>) ... ok
sklearn.tests.test_common.test_get_params_invariance('RidgeClassifier', <class 'sklearn.linear_model.ridge.RidgeClassifier'>) ... ok
sklearn.tests.test_common.test_get_params_invariance('RidgeClassifierCV', <class 'sklearn.linear_model.ridge.RidgeClassifierCV'>) ... ok
sklearn.tests.test_common.test_get_params_invariance('RobustScaler', <class 'sklearn.preprocessing.data.RobustScaler'>) ... ok
sklearn.tests.test_common.test_get_params_invariance('SGDClassifier', <class 'sklearn.linear_model.stochastic_gradient.SGDClassifier'>) ... ok
sklearn.tests.test_common.test_get_params_invariance('SGDRegressor', <class 'sklearn.linear_model.stochastic_gradient.SGDRegressor'>) ... ok
sklearn.tests.test_common.test_get_params_invariance('SVC', <class 'sklearn.svm.classes.SVC'>) ... ok
sklearn.tests.test_common.test_get_params_invariance('SVR', <class 'sklearn.svm.classes.SVR'>) ... ok
sklearn.tests.test_common.test_get_params_invariance('SelectFdr', <class 'sklearn.feature_selection.univariate_selection.SelectFdr'>) ... ok
sklearn.tests.test_common.test_get_params_invariance('SelectFpr', <class 'sklearn.feature_selection.univariate_selection.SelectFpr'>) ... ok
sklearn.tests.test_common.test_get_params_invariance('SelectFromModel', <class 'sklearn.feature_selection.from_model.SelectFromModel'>) ... ok
sklearn.tests.test_common.test_get_params_invariance('SelectFwe', <class 'sklearn.feature_selection.univariate_selection.SelectFwe'>) ... ok
sklearn.tests.test_common.test_get_params_invariance('SelectKBest', <class 'sklearn.feature_selection.univariate_selection.SelectKBest'>) ... ok
sklearn.tests.test_common.test_get_params_invariance('SelectPercentile', <class 'sklearn.feature_selection.univariate_selection.SelectPercentile'>) ... ok
sklearn.tests.test_common.test_get_params_invariance('ShrunkCovariance', <class 'sklearn.covariance.shrunk_covariance_.ShrunkCovariance'>) ... ok
sklearn.tests.test_common.test_get_params_invariance('SkewedChi2Sampler', <class 'sklearn.kernel_approximation.SkewedChi2Sampler'>) ... ok
sklearn.tests.test_common.test_get_params_invariance('SparsePCA', <class 'sklearn.decomposition.sparse_pca.SparsePCA'>) ... ok
sklearn.tests.test_common.test_get_params_invariance('SparseRandomProjection', <class 'sklearn.random_projection.SparseRandomProjection'>) ... ok
sklearn.tests.test_common.test_get_params_invariance('SpectralBiclustering', <class 'sklearn.cluster.bicluster.SpectralBiclustering'>) ... ok
sklearn.tests.test_common.test_get_params_invariance('SpectralClustering', <class 'sklearn.cluster.spectral.SpectralClustering'>) ... ok
sklearn.tests.test_common.test_get_params_invariance('SpectralCoclustering', <class 'sklearn.cluster.bicluster.SpectralCoclustering'>) ... ok
sklearn.tests.test_common.test_get_params_invariance('SpectralEmbedding', <class 'sklearn.manifold.spectral_embedding_.SpectralEmbedding'>) ... ok
sklearn.tests.test_common.test_get_params_invariance('StandardScaler', <class 'sklearn.preprocessing.data.StandardScaler'>) ... ok
sklearn.tests.test_common.test_get_params_invariance('TSNE', <class 'sklearn.manifold.t_sne.TSNE'>) ... ok
sklearn.tests.test_common.test_get_params_invariance('TheilSenRegressor', <class 'sklearn.linear_model.theil_sen.TheilSenRegressor'>) ... ok
sklearn.tests.test_common.test_get_params_invariance('VBGMM', <class 'sklearn.mixture.dpgmm.VBGMM'>) ... ok
sklearn.tests.test_common.test_get_params_invariance('VarianceThreshold', <class 'sklearn.feature_selection.variance_threshold.VarianceThreshold'>) ... ok
sklearn.tests.test_common.test_get_params_invariance('_BaseRidgeCV', <class 'sklearn.linear_model.ridge._BaseRidgeCV'>) ... ok
sklearn.tests.test_common.test_get_params_invariance('_ConstantPredictor', <class 'sklearn.multiclass._ConstantPredictor'>) ... ok
sklearn.tests.test_common.test_get_params_invariance('_RidgeGCV', <class 'sklearn.linear_model.ridge._RidgeGCV'>) ... ok
sklearn.tests.test_common.test_import_all_consistency ... 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_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_cross_val_generator_with_default_indices ... 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_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 ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/sag.py:267: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
"the coef_ did not converge", ConvergenceWarning)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/sag.py:267: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
"the coef_ did not converge", ConvergenceWarning)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/sag.py:267: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
"the coef_ did not converge", ConvergenceWarning)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/sag.py:267: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
"the coef_ did not converge", ConvergenceWarning)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/sag.py:267: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
"the coef_ did not converge", ConvergenceWarning)
/<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/linear_model/sag.py:267: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
"the coef_ did not converge", ConvergenceWarning)
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_qda ... ok
sklearn.tests.test_discriminant_analysis.test_qda_priors ... ok
sklearn.tests.test_discriminant_analysis.test_qda_store_covariances ... ok
sklearn.tests.test_discriminant_analysis.test_qda_regularization ... ok
sklearn.tests.test_discriminant_analysis.test_deprecated_lda_qda_deprecation ... ok
sklearn.tests.test_discriminant_analysis.test_covariance ... 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_grid_search.test_parameter_grid ... ok
sklearn.tests.test_grid_search.test_grid_search ... [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_one_grid_point ... ok
sklearn.tests.test_grid_search.test_grid_search_bad_param_grid ... 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_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_init.test_import_skl ... ok
sklearn.tests.test_isotonic.test_permutation_invariance ... 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_zero_weight_loop ... 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_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_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_metaestimators.test_metaestimator_delegation ... ok
sklearn.tests.test_multiclass.test_ovr_exceptions ... ok
sklearn.tests.test_multiclass.test_ovr_fit_predict ... 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_deprecated ... 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_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_ecoc_exceptions ... ok
sklearn.tests.test_multiclass.test_ecoc_fit_predict ... ok
sklearn.tests.test_multiclass.test_ecoc_gridsearch ... ok
sklearn.tests.test_naive_bayes.test_gnb ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/naive_bayes.py:361: VisibleDeprecationWarning: boolean index did not match indexed array along dimension 0; dimension is 6 but corresponding boolean dimension is 2
(y[~unique_y_in_classes], classes))
ok
sklearn.tests.test_naive_bayes.test_gnb_prior ... ok
Test whether sample weights are properly used in GNB. ... 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:420: 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:420: 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'>,) ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/naive_bayes.py:420: 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.BernoulliNB'>,) ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/naive_bayes.py:420: RuntimeWarning: divide by zero encountered in log
self.class_log_prior_ = (np.log(self.class_count_)
ok
sklearn.tests.test_naive_bayes.test_gnb_partial_fit ... ok
sklearn.tests.test_naive_bayes.test_discretenb_pickle ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/naive_bayes.py:420: 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:420: RuntimeWarning: divide by zero encountered in log
self.class_log_prior_ = (np.log(self.class_count_)
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:420: 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'>,) ... /<<PKGBUILDDIR>>/debian/tmp/usr/lib/python3/dist-packages/sklearn/naive_bayes.py:420: 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_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_pipeline.test_pipeline_init ... 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_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_feature_union ... ok
sklearn.tests.test_pipeline.test_make_union ... ok
sklearn.tests.test_pipeline.test_pipeline_transform ... ok
sklearn.tests.test_pipeline.test_pipeline_fit_transform ... 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_X1d_inverse_transform ... 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 0xb40b5b28>,) ... ok
sklearn.tests.test_random_projection.test_basic_property_of_random_matrix(<function sparse_random_matrix at 0xb40b5b28>,) ... ok
sklearn.tests.test_random_projection.test_basic_property_of_random_matrix(<function sparse_random_matrix at 0xb40b5b28>,) ... ok
sklearn.tests.test_random_projection.test_basic_property_of_random_matrix(<function gaussian_random_matrix at 0xb40b5ae0>,) ... ok
sklearn.tests.test_random_projection.test_basic_property_of_random_matrix(<function gaussian_random_matrix at 0xb40b5ae0>,) ... ok
sklearn.tests.test_random_projection.test_basic_property_of_random_matrix(<function gaussian_random_matrix at 0xb40b5ae0>,) ... ok
sklearn.tests.test_random_projection.test_basic_property_of_random_matrix(<function sparse_random_matrix at 0xb40b5b28>,) ... ok
sklearn.tests.test_random_projection.test_basic_property_of_random_matrix(<function test_basic_property_of_random_matrix.<locals>.<lambda> at 0xb6b91420>,) ... 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 5343 tests in 1228.373s
OK (SKIP=27)
I: Seeding RNGs with 1565500142
Converged after 58 iterations.
---
[LibLinear][LibLinear][LibLinear]Optimization terminated successfully.
Current function value: 0.000000
Iterations: 10
Function evaluations: 11
Gradient evaluations: 20
Hessian evaluations: 40
Failure: UnicodeDecodeError ('ascii' codec can't decode byte 0xc3 in position 3017: ordinal not in range(128)) ... ERROR
Failure: ImportError (No module named 'github_link') ... ERROR
Doctest: faq.rst ... ok
Failure: UnicodeDecodeError ('ascii' codec can't decode byte 0xc3 in position 11856: ordinal not in range(128)) ... ERROR
Failure: UnicodeDecodeError ('ascii' codec can't decode byte 0xc3 in position 6471: 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 3017: 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/python3.5/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 3017: ordinal not in range(128)
======================================================================
ERROR: Failure: ImportError (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 418, 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/python3.5/imp.py", line 234, in load_module
return load_source(name, filename, file)
File "/usr/lib/python3.5/imp.py", line 172, in load_source
module = _load(spec)
File "<frozen importlib._bootstrap>", line 693, in _load
File "<frozen importlib._bootstrap>", line 673, in _load_unlocked
File "<frozen importlib._bootstrap_external>", line 662, in exec_module
File "<frozen importlib._bootstrap>", line 222, in _call_with_frames_removed
File "/<<PKGBUILDDIR>>/doc/conf.py", line 26, in <module>
from github_link import make_linkcode_resolve
ImportError: No module named 'github_link'
======================================================================
ERROR: Failure: UnicodeDecodeError ('ascii' codec can't decode byte 0xc3 in position 11856: 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/python3.5/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 11856: ordinal not in range(128)
======================================================================
ERROR: Failure: UnicodeDecodeError ('ascii' codec can't decode byte 0xc3 in position 6471: 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/python3.5/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 6471: 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/python3.5/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 2.982s
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:67: 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:67: 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>>'
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:328: renaming _isotonic.so to _isotonic.arm-linux-gnueabihf.so
I: dh_python2 fs:328: renaming _check_build.so to _check_build.arm-linux-gnueabihf.so
I: dh_python2 fs:328: renaming _dbscan_inner.so to _dbscan_inner.arm-linux-gnueabihf.so
I: dh_python2 fs:328: renaming _hierarchical.so to _hierarchical.arm-linux-gnueabihf.so
I: dh_python2 fs:328: renaming _k_means.so to _k_means.arm-linux-gnueabihf.so
I: dh_python2 fs:328: renaming _svmlight_format.so to _svmlight_format.arm-linux-gnueabihf.so
I: dh_python2 fs:328: renaming _online_lda.so to _online_lda.arm-linux-gnueabihf.so
I: dh_python2 fs:328: renaming cdnmf_fast.so to cdnmf_fast.arm-linux-gnueabihf.so
I: dh_python2 fs:328: renaming _gradient_boosting.so to _gradient_boosting.arm-linux-gnueabihf.so
I: dh_python2 fs:328: renaming _hashing.so to _hashing.arm-linux-gnueabihf.so
I: dh_python2 fs:328: renaming cd_fast.so to cd_fast.arm-linux-gnueabihf.so
I: dh_python2 fs:328: renaming sag_fast.so to sag_fast.arm-linux-gnueabihf.so
I: dh_python2 fs:328: renaming sgd_fast.so to sgd_fast.arm-linux-gnueabihf.so
I: dh_python2 fs:328: renaming _barnes_hut_tsne.so to _barnes_hut_tsne.arm-linux-gnueabihf.so
I: dh_python2 fs:328: renaming _utils.so to _utils.arm-linux-gnueabihf.so
I: dh_python2 fs:328: renaming pairwise_fast.so to pairwise_fast.arm-linux-gnueabihf.so
I: dh_python2 fs:328: renaming expected_mutual_info_fast.so to expected_mutual_info_fast.arm-linux-gnueabihf.so
I: dh_python2 fs:328: renaming ball_tree.so to ball_tree.arm-linux-gnueabihf.so
I: dh_python2 fs:328: renaming dist_metrics.so to dist_metrics.arm-linux-gnueabihf.so
I: dh_python2 fs:328: renaming kd_tree.so to kd_tree.arm-linux-gnueabihf.so
I: dh_python2 fs:328: renaming typedefs.so to typedefs.arm-linux-gnueabihf.so
I: dh_python2 fs:328: renaming liblinear.so to liblinear.arm-linux-gnueabihf.so
I: dh_python2 fs:328: renaming libsvm.so to libsvm.arm-linux-gnueabihf.so
I: dh_python2 fs:328: renaming libsvm_sparse.so to libsvm_sparse.arm-linux-gnueabihf.so
I: dh_python2 fs:328: renaming _criterion.so to _criterion.arm-linux-gnueabihf.so
I: dh_python2 fs:328: renaming _splitter.so to _splitter.arm-linux-gnueabihf.so
I: dh_python2 fs:328: renaming _tree.so to _tree.arm-linux-gnueabihf.so
I: dh_python2 fs:328: renaming _utils.so to _utils.arm-linux-gnueabihf.so
I: dh_python2 fs:328: renaming _logistic_sigmoid.so to _logistic_sigmoid.arm-linux-gnueabihf.so
I: dh_python2 fs:328: renaming _random.so to _random.arm-linux-gnueabihf.so
I: dh_python2 fs:328: renaming arrayfuncs.so to arrayfuncs.arm-linux-gnueabihf.so
I: dh_python2 fs:328: renaming fast_dict.so to fast_dict.arm-linux-gnueabihf.so
I: dh_python2 fs:328: renaming graph_shortest_path.so to graph_shortest_path.arm-linux-gnueabihf.so
I: dh_python2 fs:328: renaming lgamma.so to lgamma.arm-linux-gnueabihf.so
I: dh_python2 fs:328: renaming murmurhash.so to murmurhash.arm-linux-gnueabihf.so
I: dh_python2 fs:328: renaming seq_dataset.so to seq_dataset.arm-linux-gnueabihf.so
I: dh_python2 fs:328: renaming sparsefuncs_fast.so to sparsefuncs_fast.arm-linux-gnueabihf.so
I: dh_python2 fs:328: renaming weight_vector.so to weight_vector.arm-linux-gnueabihf.so
I: dh_python2 fs:328: renaming _graph_tools.so to _graph_tools.arm-linux-gnueabihf.so
I: dh_python2 fs:328: renaming _traversal.so to _traversal.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_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: File::FcntlLock not available; using flock which is not NFS-safe
dpkg-gencontrol: warning: package python-sklearn-lib: unused substitution variable ${python:Versions}
dpkg-gencontrol: warning: File::FcntlLock not available; using flock which is not NFS-safe
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: File::FcntlLock not available; using flock which is not NFS-safe
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: Provides field of package python3-sklearn-lib: unknown substitution variable ${python:Provides}
dpkg-gencontrol: warning: File::FcntlLock not available; using flock which is not NFS-safe
dpkg-gencontrol: warning: package python3-sklearn-lib: unused substitution variable ${python3:Provides}
dpkg-gencontrol: warning: package python3-sklearn-lib: unused substitution variable ${python3:Versions}
dh_md5sums -a -O--buildsystem=python_distutils
dh_builddeb -a -O--buildsystem=python_distutils
dpkg-deb: building package 'python-sklearn-lib-dbgsym' in '../python-sklearn-lib-dbgsym_0.17.1-2_armhf.deb'.
dpkg-deb: building package 'python3-sklearn-lib-dbgsym' in '../python3-sklearn-lib-dbgsym_0.17.1-2_armhf.deb'.
dpkg-deb: building package 'python3-sklearn-lib' in '../python3-sklearn-lib_0.17.1-2_armhf.deb'.
dpkg-deb: building package 'python-sklearn-lib' in '../python-sklearn-lib_0.17.1-2_armhf.deb'.
dpkg-genchanges -B -mRaspbian nitrogen6x test autobuilder <root@raspbian.org> >../scikit-learn_0.17.1-2_armhf.changes
dpkg-genchanges: warning: package python3-sklearn-lib-dbgsym listed in files list but not in control info
dpkg-genchanges: warning: package python-sklearn-lib-dbgsym listed in files list but not in control info
dpkg-genchanges: binary-only arch-specific upload (source code and arch-indep packages not included)
dpkg-source --after-build scikit-learn-0.17.1
dpkg-buildpackage: binary-only upload (no source included)
--------------------------------------------------------------------------------
Build finished at 20160414-1401
Finished
--------
I: Built successfully
+------------------------------------------------------------------------------+
| Post Build Chroot |
+------------------------------------------------------------------------------+
+------------------------------------------------------------------------------+
| Changes |
+------------------------------------------------------------------------------+
scikit-learn_0.17.1-2_armhf.changes:
------------------------------------
Format: 1.8
Date: Fri, 08 Apr 2016 09:29:22 -0400
Source: scikit-learn
Binary: python-sklearn python-sklearn-lib python3-sklearn python3-sklearn-lib python-sklearn-doc python-scikits-learn
Architecture: armhf
Version: 0.17.1-2
Distribution: stretch-staging
Urgency: medium
Maintainer: Raspbian nitrogen6x 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
Changes:
scikit-learn (0.17.1-2) unstable; urgency=medium
.
* debian/rules
- skip test_dump tests on arm64 to prevent FTBFS - actual resolution
is TODO
- robustify use of xargs to not fail if no matches (e.g. upon rebuild)
Checksums-Sha1:
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+------------------------------------------------------------------------------+
| Package contents |
+------------------------------------------------------------------------------+
python-sklearn-lib-dbgsym_0.17.1-2_armhf.deb
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new debian package, version 2.0.
size 4530454 bytes: control archive=2554 bytes.
2021 bytes, 13 lines control
4240 bytes, 40 lines md5sums
Package: python-sklearn-lib-dbgsym
Source: scikit-learn
Version: 0.17.1-2
Architecture: armhf
Maintainer: NeuroDebian Team <team@neuro.debian.net>
Installed-Size: 5264
Depends: python-sklearn-lib (= 0.17.1-2)
Section: debug
Priority: extra
Homepage: http://scikit-learn.sourceforge.net
Description: Debug symbols for python-sklearn-lib
Auto-Built-Package: debug-symbols
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lrwxrwxrwx root/root 0 2016-04-14 14:00 ./usr/share/doc/python-sklearn-lib-dbgsym -> python-sklearn-lib
python-sklearn-lib_0.17.1-2_armhf.deb
-------------------------------------
new debian package, version 2.0.
size 959212 bytes: control archive=2095 bytes.
702 bytes, 17 lines control
5111 bytes, 45 lines md5sums
Package: python-sklearn-lib
Source: scikit-learn
Version: 0.17.1-2
Architecture: armhf
Maintainer: NeuroDebian Team <team@neuro.debian.net>
Installed-Size: 4542
Depends: libc6 (>= 2.4), libgcc1 (>= 1:3.5), libstdc++6 (>= 5.2), python-numpy (>= 1:1.10.0~b1), python-numpy-abi9, python (<< 2.8), python (>= 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_0.17.1-2_armhf.deb
---------------------------------------------
new debian package, version 2.0.
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4240 bytes, 40 lines md5sums
Package: python3-sklearn-lib-dbgsym
Source: scikit-learn
Version: 0.17.1-2
Architecture: armhf
Maintainer: NeuroDebian Team <team@neuro.debian.net>
Installed-Size: 5183
Depends: python3-sklearn-lib (= 0.17.1-2)
Section: debug
Priority: extra
Homepage: http://scikit-learn.sourceforge.net
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lrwxrwxrwx root/root 0 2016-04-14 14:00 ./usr/share/doc/python3-sklearn-lib-dbgsym -> python3-sklearn-lib
python3-sklearn-lib_0.17.1-2_armhf.deb
--------------------------------------
new debian package, version 2.0.
size 887100 bytes: control archive=2103 bytes.
663 bytes, 16 lines control
5516 bytes, 45 lines md5sums
Package: python3-sklearn-lib
Source: scikit-learn
Version: 0.17.1-2
Architecture: armhf
Maintainer: NeuroDebian Team <team@neuro.debian.net>
Installed-Size: 4026
Depends: libc6 (>= 2.4), libgcc1 (>= 1:3.5), libstdc++6 (>= 5.2), python3-numpy (>= 1:1.10.0~b1), python3-numpy-abi9, python3 (<< 3.6), python3 (>= 3.5~)
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: 215008
Build-Time: 5933
Distribution: stretch-staging
Host Architecture: armhf
Install-Time: 1343
Job: scikit-learn_0.17.1-2
Machine Architecture: armhf
Package: scikit-learn
Package-Time: 7330
Source-Version: 0.17.1-2
Space: 215008
Status: successful
Version: 0.17.1-2
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Finished at 20160414-1401
Build needed 02:02:10, 215008k disc space