It seems that the new chapter on metrics has some doctests that need to be made more platform independent, either by using `#doctest: +ELLIPSIS` or by reworking them in same way.
2013/1/10 <ad...@shiningpanda.com>: > See > <https://jenkins.shiningpanda-ci.com/scikit-learn/job/python-2.7-numpy-1.6.2-scipy-0.10.1/1692/> > > ------------------------------------------ > [...truncated 2 lines...] > Building remotely on Default Debian 6 - Squeeze .1 in workspace > <https://jenkins.shiningpanda-ci.com/scikit-learn/job/python-2.7-numpy-1.6.2-scipy-0.10.1/ws/> > Checkout:python-2.7-numpy-1.6.2-scipy-0.10.1 / > <https://jenkins.shiningpanda-ci.com/scikit-learn/job/python-2.7-numpy-1.6.2-scipy-0.10.1/ws/> > - hudson.remoting.Channel@670d0761:Default Debian 6 - Squeeze .1 > Using strategy: Default > Last Built Revision: Revision bb1b795b2d0fc966d50f4dd684a8ee424f24f3d5 > (origin/master) > Fetching changes from 1 remote Git repository > Fetching upstream changes from > https://github.com/scikit-learn/scikit-learn.git > Commencing build of Revision bb1b795b2d0fc966d50f4dd684a8ee424f24f3d5 > (origin/master) > Checking out Revision bb1b795b2d0fc966d50f4dd684a8ee424f24f3d5 (origin/master) > [python-2.7-numpy-1.6.2-scipy-0.10.1] $ /bin/sh -xe > /tmp/shiningpanda2225699778056359017.sh > + . /home/slave/virtualenvs/cpython-2.7.2/bin/activate > + deactivate nondestructive > + [ -n ] > + [ -n ] > + [ -n -o -n ] > + [ -n ] > + unset VIRTUAL_ENV > + [ ! nondestructive = nondestructive ] > + VIRTUAL_ENV=/home/slave/virtualenvs/cpython-2.7.2 > + export VIRTUAL_ENV > + > _OLD_VIRTUAL_PATH=/sp/lib/jvm/sun-7/bin:/home/slave/virtualenvs/cpython-2.7.2/bin:/usr/local/bin:/usr/bin:/bin:/usr/bin/X11:/usr/games > + > PATH=/home/slave/virtualenvs/cpython-2.7.2/bin:/sp/lib/jvm/sun-7/bin:/home/slave/virtualenvs/cpython-2.7.2/bin:/usr/local/bin:/usr/bin:/bin:/usr/bin/X11:/usr/games > + export PATH > + [ -n ] > + [ -z ] > + _OLD_VIRTUAL_PS1=$ > + [ x != x ] > + basename /home/slave/virtualenvs/cpython-2.7.2 > + [ cpython-2.7.2 = __ ] > + basename /home/slave/virtualenvs/cpython-2.7.2 > + PS1=(cpython-2.7.2)$ > + export PS1 > + [ -n -o -n ] > + python -c import numpy; print 'numpy: ' + numpy.__version__ > numpy: 1.6.2 > + python -c import scipy; print 'scipy: ' + scipy.__version__ > scipy: 0.10.1 > + make clean-pyc inplace test-doc test-coverage > find sklearn -name "*.pyc" | xargs rm -f > python setup.py build_ext -i > Partial import of sklearn during the build process. > blas_opt_info: > blas_mkl_info: > libraries mkl,vml,guide not found in > /home/slave/virtualenvs/cpython-2.7.2/lib > libraries mkl,vml,guide not found in /usr/local/lib > libraries mkl,vml,guide not found in /usr/lib64 > libraries mkl,vml,guide not found in /usr/lib > NOT AVAILABLE > > atlas_blas_threads_info: > Setting PTATLAS=ATLAS > libraries ptf77blas,ptcblas,atlas not found in > /home/slave/virtualenvs/cpython-2.7.2/lib > libraries ptf77blas,ptcblas,atlas not found in /usr/local/lib > Setting PTATLAS=ATLAS > customize GnuFCompiler > Could not locate executable g77 > Could not locate executable f77 > customize IntelFCompiler > Could not locate executable ifort > Could not locate executable ifc > customize LaheyFCompiler > Could not locate executable lf95 > customize PGroupFCompiler > Could not locate executable pgfortran > customize AbsoftFCompiler > Could not locate executable f90 > customize NAGFCompiler > Found executable /usr/bin/f95 > customize VastFCompiler > customize CompaqFCompiler > Could not locate executable fort > customize IntelItaniumFCompiler > Could not locate executable efort > Could not locate executable efc > customize IntelEM64TFCompiler > customize Gnu95FCompiler > Found executable /usr/bin/gfortran > customize Gnu95FCompiler > customize Gnu95FCompiler using config > compiling '_configtest.c': > > /* This file is generated from numpy/distutils/system_info.py */ > void ATL_buildinfo(void); > int main(void) { > ATL_buildinfo(); > return 0; > } > > C compiler: gcc -pthread -fno-strict-aliasing > -I/tmp/132516050504/Python-2.7.2/Modules/expat -fPIC -I/opt/local/include > -I/usr/local/include -I/usr/include -I/include -DNDEBUG -g -fwrapv -O3 -Wall > -Wstrict-prototypes -fPIC > > compile options: '-c' > gcc: _configtest.c > gcc -pthread _configtest.o -L/usr/lib64/atlas-base -lptf77blas -lptcblas > -latlas -o _configtest > ATLAS version 3.8.3 built by buildd on Sun Sep 5 21:14:51 UTC 2010: > UNAME : Linux barber 2.6.26-2-amd64 #1 SMP Tue Aug 31 09:11:22 UTC 2010 > x86_64 GNU/Linux > INSTFLG : -1 0 -a 1 > ARCHDEFS : -DATL_OS_Linux -DATL_ARCH_P4E -DATL_CPUMHZ=3800 -DATL_USE64BITS > -DATL_GAS_x8664 > F2CDEFS : -DAdd_ -DF77_INTEGER=int -DStringSunStyle > CACHEEDGE: 3670016 > F77 : gfortran, version GNU Fortran (Debian 4.4.4-13) 4.4.5 20100902 > (prerelease) > F77FLAGS : -fomit-frame-pointer -mfpmath=387 -O2 -falign-loops=4 > -Wa,--noexecstack -fPIC -m64 > SMC : gcc, version gcc (Debian 4.4.4-13) 4.4.5 20100902 (prerelease) > SMCFLAGS : -fomit-frame-pointer -mfpmath=387 -O2 -falign-loops=4 > -Wa,--noexecstack -fPIC -m64 > SKC : gcc, version gcc (Debian 4.4.4-13) 4.4.5 20100902 (prerelease) > SKCFLAGS : -fomit-frame-pointer -mfpmath=387 -O2 -falign-loops=4 > -Wa,--noexecstack -fPIC -m64 > success! > removing: _configtest.c _configtest.o _configtest > Setting PTATLAS=ATLAS > FOUND: > libraries = ['ptf77blas', 'ptcblas', 'atlas'] > library_dirs = ['/usr/lib64/atlas-base'] > language = c > define_macros = [('ATLAS_INFO', '"\\"3.8.3\\""')] > include_dirs = ['/usr/include/atlas'] > > FOUND: > libraries = ['ptf77blas', 'ptcblas', 'atlas'] > library_dirs = ['/usr/lib64/atlas-base'] > language = c > define_macros = [('ATLAS_INFO', '"\\"3.8.3\\""')] > include_dirs = ['/usr/include/atlas'] > > running build_ext > running build_src > build_src > building library "libsvm-skl" 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._hierarchical" sources > building extension "sklearn.cluster._k_means" sources > building extension "sklearn.ensemble._gradient_boosting" sources > building extension "sklearn.utils.sparsetools._csgraph" sources > building extension "sklearn.utils.arraybuilder" sources > building extension "sklearn.utils.sparsefuncs" sources > building extension "sklearn.utils.arrayfuncs" sources > building extension "sklearn.utils.murmurhash" sources > building extension "sklearn.utils.graph_shortest_path" sources > building extension "sklearn.utils.seq_dataset" sources > building extension "sklearn.utils.weight_vector" sources > building extension "sklearn.utils.random" sources > building extension "sklearn.neighbors.ball_tree" sources > building extension "sklearn.metrics.pairwise_fast" sources > building extension "sklearn.tree._tree" sources > building extension "sklearn.metrics/cluster.expected_mutual_info_fast" sources > building extension "sklearn._hmmc" sources > building extension "sklearn.linear_model.cd_fast" sources > building extension "sklearn.linear_model.sgd_fast" sources > building extension "sklearn.utils.sparsetools._csgraph" sources > building extension "sklearn.utils.arraybuilder" sources > building extension "sklearn.utils.sparsefuncs" sources > building extension "sklearn.utils.arrayfuncs" sources > building extension "sklearn.utils.murmurhash" sources > building extension "sklearn.utils.graph_shortest_path" sources > building extension "sklearn.utils.seq_dataset" sources > building extension "sklearn.utils.weight_vector" sources > building extension "sklearn.utils.random" sources > building data_files sources > build_src: building npy-pkg config files > customize UnixCCompiler > customize UnixCCompiler using build_clib > customize UnixCCompiler > customize UnixCCompiler using build_ext > resetting extension 'sklearn.svm.liblinear' language from 'c' to 'c++'. > customize UnixCCompiler > customize UnixCCompiler using build_ext > running scons > nosetests -s -v doc/ doc/modules/ doc/datasets/ \ > doc/developers doc/tutorial/basic doc/tutorial/statistical_inference > Doctest: clustering.rst ... ok > Doctest: cross_validation.rst ... ok > Doctest: ensemble.rst ... ok > Doctest: feature_extraction.rst ... ok > Doctest: feature_selection.rst ... ok > Doctest: gaussian_process.rst ... ok > Doctest: hmm.rst ... ok > Doctest: kernel_approximation.rst ... ok > Doctest: linear_model.rst ... ok > Doctest: metrics.rst ... ok > Doctest: model_evaluation.rst ... FAIL > Doctest: multiclass.rst ... ok > Doctest: naive_bayes.rst ... ok > Doctest: neighbors.rst ... ok > Doctest: pipeline.rst ... ok > Doctest: preprocessing.rst ... ok > Doctest: random_projection.rst ... ok > Doctest: sgd.rst ... ok > Doctest: svm.rst ... ok > Doctest: tree.rst ... ok > Doctest: index.rst ... ok > SKIP: Skipping dataset loading doctests > Doctest: mldata.rst ... ok > SKIP: Skipping dataset loading doctests > Doctest: utilities.rst ... ok > Doctest: tutorial.rst ... ok > Doctest: model_selection.rst ... ok > Doctest: putting_together.rst ... ok > Doctest: settings.rst ... ok > Doctest: supervised_learning.rst ... ok > Doctest: unsupervised_learning.rst ... ok > > ====================================================================== > FAIL: Doctest: model_evaluation.rst > ---------------------------------------------------------------------- > Traceback (most recent call last): > File "/sp/lib/python/cpython-2.7.2/lib/python2.7/doctest.py", line 2166, in > runTest > raise self.failureException(self.format_failure(new.getvalue())) > AssertionError: Failed doctest test for model_evaluation.rst > File > "<https://jenkins.shiningpanda-ci.com/scikit-learn/job/python-2.7-numpy-1.6.2-scipy-0.10.1/ws/doc/modules/model_evaluation.rst";,> > line 0 > > ---------------------------------------------------------------------- > File > "<https://jenkins.shiningpanda-ci.com/scikit-learn/job/python-2.7-numpy-1.6.2-scipy-0.10.1/ws/doc/modules/model_evaluation.rst";,> > line 314, in model_evaluation.rst > Failed example: > metrics.precision_recall_fscore_support(y_true, y_pred, beta=0.5) > Expected: > (array([ 0.66666667, 1. ]), array([ 1. , 0.5]), array([ > 0.71428571, 0.83333333]), array([2, 2], dtype=int64)) > Got: > (array([ 0.66666667, 1. ]), array([ 1. , 0.5]), array([ > 0.71428571, 0.83333333]), array([2, 2])) > ---------------------------------------------------------------------- > File > "<https://jenkins.shiningpanda-ci.com/scikit-learn/job/python-2.7-numpy-1.6.2-scipy-0.10.1/ws/doc/modules/model_evaluation.rst";,> > line 472, in model_evaluation.rst > Failed example: > metrics.precision_recall_fscore_support(y_true, y_pred, beta=0.5) > Expected: > (array([ 0.66666667, 0. , 0. ]), array([ 1., 0., 0.]), > array([ 0.71428571, 0. , 0. ]), array([2, 2, 2], dtype=int64)) > Got: > (array([ 0.66666667, 0. , 0. ]), array([ 1., 0., 0.]), > array([ 0.71428571, 0. , 0. ]), array([2, 2, 2])) > ---------------------------------------------------------------------- > File > "<https://jenkins.shiningpanda-ci.com/scikit-learn/job/python-2.7-numpy-1.6.2-scipy-0.10.1/ws/doc/modules/model_evaluation.rst";,> > line 506, in model_evaluation.rst > Failed example: > hinge_loss([-1, 1, 1], pred_decision) > Expected: > 0.30303676038544258 > Got: > 0.30303676038544253 > >>> raise self.failureException(self.format_failure(<StringIO.StringIO >>> instance at 0x41c9320>.getvalue())) > > > ---------------------------------------------------------------------- > Ran 29 tests in 74.515s > > FAILED (SKIP=2, failures=1) > make: *** [test-doc] Error 1 > Build step 'Custom Python Builder' marked build as failure > Archiving artifacts > Skipping Cobertura coverage report as build was not UNSTABLE or better ... > Failed to send e-mail to arnaud.joly because no e-mail address is known, and > no default e-mail domain is configured -- Olivier http://twitter.com/ogrisel - http://github.com/ogrisel ------------------------------------------------------------------------------ Master Visual Studio, SharePoint, SQL, ASP.NET, C# 2012, HTML5, CSS, MVC, Windows 8 Apps, JavaScript and much more. Keep your skills current with LearnDevNow - 3,200 step-by-step video tutorials by Microsoft MVPs and experts. ON SALE this month only -- learn more at: http://p.sf.net/sfu/learnmore_122712 _______________________________________________ Scikit-learn-general mailing list Scikit-learn-general@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/scikit-learn-general
