If nobody is working on it, I can fix that one now by introducing a new function divide in sklearn,utils.fixes.
2013/5/4 <ad...@shiningpanda.com>: > See > <https://jenkins.shiningpanda-ci.com/scikit-learn/job/python-2.6-numpy-1.3.0-scipy-0.7.2/1791/changes> > > Changes: > > [amueller] FIX WARN about **params being not used in GridSearchCV.fit. Closes > #1815. > > ------------------------------------------ > [...truncated 469 lines...] > File > "<https://jenkins.shiningpanda-ci.com/scikit-learn/job/python-2.6-numpy-1.3.0-scipy-0.7.2/ws/doc/modules/model_evaluation.rst";,> > line 502, in model_evaluation.rst > Failed example: > metrics.precision_recall_fscore_support(y_true, y_pred, average='macro') > # doctest: +ELLIPSIS > Exception raised: > Traceback (most recent call last): > File "/sp/lib/python/cpython-2.6.8/lib/python2.6/doctest.py", line > 1253, in __run > compileflags, 1) in test.globs > File "<doctest model_evaluation.rst[58]>", line 1, in <module> > metrics.precision_recall_fscore_support(y_true, y_pred, > average='macro') # doctest: +ELLIPSIS > File > "<https://jenkins.shiningpanda-ci.com/scikit-learn/job/python-2.6-numpy-1.3.0-scipy-0.7.2/ws/sklearn/metrics/metrics.py";,> > line 1300, in precision_recall_fscore_support > dtype=np.double) > TypeError: 'dtype' is an invalid keyword to divide > ---------------------------------------------------------------------- > File > "<https://jenkins.shiningpanda-ci.com/scikit-learn/job/python-2.6-numpy-1.3.0-scipy-0.7.2/ws/doc/modules/model_evaluation.rst";,> > line 510, in model_evaluation.rst > Failed example: > metrics.precision_score(y_true, y_pred, average='micro') # doctest: > +ELLIPSIS > Exception raised: > Traceback (most recent call last): > File "/sp/lib/python/cpython-2.6.8/lib/python2.6/doctest.py", line > 1253, in __run > compileflags, 1) in test.globs > File "<doctest model_evaluation.rst[62]>", line 1, in <module> > metrics.precision_score(y_true, y_pred, average='micro') # doctest: > +ELLIPSIS > File > "<https://jenkins.shiningpanda-ci.com/scikit-learn/job/python-2.6-numpy-1.3.0-scipy-0.7.2/ws/sklearn/metrics/metrics.py";,> > line 1420, in precision_score > average=average) > File > "<https://jenkins.shiningpanda-ci.com/scikit-learn/job/python-2.6-numpy-1.3.0-scipy-0.7.2/ws/sklearn/metrics/metrics.py";,> > line 1300, in precision_recall_fscore_support > dtype=np.double) > TypeError: 'dtype' is an invalid keyword to divide > ---------------------------------------------------------------------- > File > "<https://jenkins.shiningpanda-ci.com/scikit-learn/job/python-2.6-numpy-1.3.0-scipy-0.7.2/ws/doc/modules/model_evaluation.rst";,> > line 512, in model_evaluation.rst > Failed example: > metrics.recall_score(y_true, y_pred, average='micro') # doctest: > +ELLIPSIS > Exception raised: > Traceback (most recent call last): > File "/sp/lib/python/cpython-2.6.8/lib/python2.6/doctest.py", line > 1253, in __run > compileflags, 1) in test.globs > File "<doctest model_evaluation.rst[63]>", line 1, in <module> > metrics.recall_score(y_true, y_pred, average='micro') # doctest: > +ELLIPSIS > File > "<https://jenkins.shiningpanda-ci.com/scikit-learn/job/python-2.6-numpy-1.3.0-scipy-0.7.2/ws/sklearn/metrics/metrics.py";,> > line 1497, in recall_score > average=average) > File > "<https://jenkins.shiningpanda-ci.com/scikit-learn/job/python-2.6-numpy-1.3.0-scipy-0.7.2/ws/sklearn/metrics/metrics.py";,> > line 1300, in precision_recall_fscore_support > dtype=np.double) > TypeError: 'dtype' is an invalid keyword to divide > ---------------------------------------------------------------------- > File > "<https://jenkins.shiningpanda-ci.com/scikit-learn/job/python-2.6-numpy-1.3.0-scipy-0.7.2/ws/doc/modules/model_evaluation.rst";,> > line 514, in model_evaluation.rst > Failed example: > metrics.f1_score(y_true, y_pred, average='micro') # doctest: +ELLIPSIS > Exception raised: > Traceback (most recent call last): > File "/sp/lib/python/cpython-2.6.8/lib/python2.6/doctest.py", line > 1253, in __run > compileflags, 1) in test.globs > File "<doctest model_evaluation.rst[64]>", line 1, in <module> > metrics.f1_score(y_true, y_pred, average='micro') # doctest: > +ELLIPSIS > File > "<https://jenkins.shiningpanda-ci.com/scikit-learn/job/python-2.6-numpy-1.3.0-scipy-0.7.2/ws/sklearn/metrics/metrics.py";,> > line 1044, in f1_score > pos_label=pos_label, average=average) > File > "<https://jenkins.shiningpanda-ci.com/scikit-learn/job/python-2.6-numpy-1.3.0-scipy-0.7.2/ws/sklearn/metrics/metrics.py";,> > line 1143, in fbeta_score > average=average) > File > "<https://jenkins.shiningpanda-ci.com/scikit-learn/job/python-2.6-numpy-1.3.0-scipy-0.7.2/ws/sklearn/metrics/metrics.py";,> > line 1300, in precision_recall_fscore_support > dtype=np.double) > TypeError: 'dtype' is an invalid keyword to divide > ---------------------------------------------------------------------- > File > "<https://jenkins.shiningpanda-ci.com/scikit-learn/job/python-2.6-numpy-1.3.0-scipy-0.7.2/ws/doc/modules/model_evaluation.rst";,> > line 516, in model_evaluation.rst > Failed example: > metrics.fbeta_score(y_true, y_pred, average='micro', beta=0.5) # > doctest: +ELLIPSIS > Exception raised: > Traceback (most recent call last): > File "/sp/lib/python/cpython-2.6.8/lib/python2.6/doctest.py", line > 1253, in __run > compileflags, 1) in test.globs > File "<doctest model_evaluation.rst[65]>", line 1, in <module> > metrics.fbeta_score(y_true, y_pred, average='micro', beta=0.5) # > doctest: +ELLIPSIS > File > "<https://jenkins.shiningpanda-ci.com/scikit-learn/job/python-2.6-numpy-1.3.0-scipy-0.7.2/ws/sklearn/metrics/metrics.py";,> > line 1143, in fbeta_score > average=average) > File > "<https://jenkins.shiningpanda-ci.com/scikit-learn/job/python-2.6-numpy-1.3.0-scipy-0.7.2/ws/sklearn/metrics/metrics.py";,> > line 1300, in precision_recall_fscore_support > dtype=np.double) > TypeError: 'dtype' is an invalid keyword to divide > ---------------------------------------------------------------------- > File > "<https://jenkins.shiningpanda-ci.com/scikit-learn/job/python-2.6-numpy-1.3.0-scipy-0.7.2/ws/doc/modules/model_evaluation.rst";,> > line 518, in model_evaluation.rst > Failed example: > metrics.precision_recall_fscore_support(y_true, y_pred, average='micro') > # doctest: +ELLIPSIS > Exception raised: > Traceback (most recent call last): > File "/sp/lib/python/cpython-2.6.8/lib/python2.6/doctest.py", line > 1253, in __run > compileflags, 1) in test.globs > File "<doctest model_evaluation.rst[66]>", line 1, in <module> > metrics.precision_recall_fscore_support(y_true, y_pred, > average='micro') # doctest: +ELLIPSIS > File > "<https://jenkins.shiningpanda-ci.com/scikit-learn/job/python-2.6-numpy-1.3.0-scipy-0.7.2/ws/sklearn/metrics/metrics.py";,> > line 1300, in precision_recall_fscore_support > dtype=np.double) > TypeError: 'dtype' is an invalid keyword to divide > ---------------------------------------------------------------------- > File > "<https://jenkins.shiningpanda-ci.com/scikit-learn/job/python-2.6-numpy-1.3.0-scipy-0.7.2/ws/doc/modules/model_evaluation.rst";,> > line 526, in model_evaluation.rst > Failed example: > metrics.precision_score(y_true, y_pred, average='weighted') # doctest: > +ELLIPSIS > Exception raised: > Traceback (most recent call last): > File "/sp/lib/python/cpython-2.6.8/lib/python2.6/doctest.py", line > 1253, in __run > compileflags, 1) in test.globs > File "<doctest model_evaluation.rst[70]>", line 1, in <module> > metrics.precision_score(y_true, y_pred, average='weighted') # > doctest: +ELLIPSIS > File > "<https://jenkins.shiningpanda-ci.com/scikit-learn/job/python-2.6-numpy-1.3.0-scipy-0.7.2/ws/sklearn/metrics/metrics.py";,> > line 1420, in precision_score > average=average) > File > "<https://jenkins.shiningpanda-ci.com/scikit-learn/job/python-2.6-numpy-1.3.0-scipy-0.7.2/ws/sklearn/metrics/metrics.py";,> > line 1300, in precision_recall_fscore_support > dtype=np.double) > TypeError: 'dtype' is an invalid keyword to divide > ---------------------------------------------------------------------- > File > "<https://jenkins.shiningpanda-ci.com/scikit-learn/job/python-2.6-numpy-1.3.0-scipy-0.7.2/ws/doc/modules/model_evaluation.rst";,> > line 528, in model_evaluation.rst > Failed example: > metrics.recall_score(y_true, y_pred, average='weighted') # doctest: > +ELLIPSIS > Exception raised: > Traceback (most recent call last): > File "/sp/lib/python/cpython-2.6.8/lib/python2.6/doctest.py", line > 1253, in __run > compileflags, 1) in test.globs > File "<doctest model_evaluation.rst[71]>", line 1, in <module> > metrics.recall_score(y_true, y_pred, average='weighted') # doctest: > +ELLIPSIS > File > "<https://jenkins.shiningpanda-ci.com/scikit-learn/job/python-2.6-numpy-1.3.0-scipy-0.7.2/ws/sklearn/metrics/metrics.py";,> > line 1497, in recall_score > average=average) > File > "<https://jenkins.shiningpanda-ci.com/scikit-learn/job/python-2.6-numpy-1.3.0-scipy-0.7.2/ws/sklearn/metrics/metrics.py";,> > line 1300, in precision_recall_fscore_support > dtype=np.double) > TypeError: 'dtype' is an invalid keyword to divide > ---------------------------------------------------------------------- > File > "<https://jenkins.shiningpanda-ci.com/scikit-learn/job/python-2.6-numpy-1.3.0-scipy-0.7.2/ws/doc/modules/model_evaluation.rst";,> > line 530, in model_evaluation.rst > Failed example: > metrics.fbeta_score(y_true, y_pred, average='weighted', beta=0.5) # > doctest: +ELLIPSIS > Exception raised: > Traceback (most recent call last): > File "/sp/lib/python/cpython-2.6.8/lib/python2.6/doctest.py", line > 1253, in __run > compileflags, 1) in test.globs > File "<doctest model_evaluation.rst[72]>", line 1, in <module> > metrics.fbeta_score(y_true, y_pred, average='weighted', beta=0.5) # > doctest: +ELLIPSIS > File > "<https://jenkins.shiningpanda-ci.com/scikit-learn/job/python-2.6-numpy-1.3.0-scipy-0.7.2/ws/sklearn/metrics/metrics.py";,> > line 1143, in fbeta_score > average=average) > File > "<https://jenkins.shiningpanda-ci.com/scikit-learn/job/python-2.6-numpy-1.3.0-scipy-0.7.2/ws/sklearn/metrics/metrics.py";,> > line 1300, in precision_recall_fscore_support > dtype=np.double) > TypeError: 'dtype' is an invalid keyword to divide > ---------------------------------------------------------------------- > File > "<https://jenkins.shiningpanda-ci.com/scikit-learn/job/python-2.6-numpy-1.3.0-scipy-0.7.2/ws/doc/modules/model_evaluation.rst";,> > line 532, in model_evaluation.rst > Failed example: > metrics.f1_score(y_true, y_pred, average='weighted') # doctest: +ELLIPSIS > Exception raised: > Traceback (most recent call last): > File "/sp/lib/python/cpython-2.6.8/lib/python2.6/doctest.py", line > 1253, in __run > compileflags, 1) in test.globs > File "<doctest model_evaluation.rst[73]>", line 1, in <module> > metrics.f1_score(y_true, y_pred, average='weighted') # doctest: > +ELLIPSIS > File > "<https://jenkins.shiningpanda-ci.com/scikit-learn/job/python-2.6-numpy-1.3.0-scipy-0.7.2/ws/sklearn/metrics/metrics.py";,> > line 1044, in f1_score > pos_label=pos_label, average=average) > File > "<https://jenkins.shiningpanda-ci.com/scikit-learn/job/python-2.6-numpy-1.3.0-scipy-0.7.2/ws/sklearn/metrics/metrics.py";,> > line 1143, in fbeta_score > average=average) > File > "<https://jenkins.shiningpanda-ci.com/scikit-learn/job/python-2.6-numpy-1.3.0-scipy-0.7.2/ws/sklearn/metrics/metrics.py";,> > line 1300, in precision_recall_fscore_support > dtype=np.double) > TypeError: 'dtype' is an invalid keyword to divide > ---------------------------------------------------------------------- > File > "<https://jenkins.shiningpanda-ci.com/scikit-learn/job/python-2.6-numpy-1.3.0-scipy-0.7.2/ws/doc/modules/model_evaluation.rst";,> > line 534, in model_evaluation.rst > Failed example: > metrics.precision_recall_fscore_support(y_true, y_pred, > average='weighted') # doctest: +ELLIPSIS > Exception raised: > Traceback (most recent call last): > File "/sp/lib/python/cpython-2.6.8/lib/python2.6/doctest.py", line > 1253, in __run > compileflags, 1) in test.globs > File "<doctest model_evaluation.rst[74]>", line 1, in <module> > metrics.precision_recall_fscore_support(y_true, y_pred, > average='weighted') # doctest: +ELLIPSIS > File > "<https://jenkins.shiningpanda-ci.com/scikit-learn/job/python-2.6-numpy-1.3.0-scipy-0.7.2/ws/sklearn/metrics/metrics.py";,> > line 1300, in precision_recall_fscore_support > dtype=np.double) > TypeError: 'dtype' is an invalid keyword to divide > ---------------------------------------------------------------------- > File > "<https://jenkins.shiningpanda-ci.com/scikit-learn/job/python-2.6-numpy-1.3.0-scipy-0.7.2/ws/doc/modules/model_evaluation.rst";,> > line 542, in model_evaluation.rst > Failed example: > metrics.precision_score(y_true, y_pred, average=None) # doctest: > +ELLIPSIS > Exception raised: > Traceback (most recent call last): > File "/sp/lib/python/cpython-2.6.8/lib/python2.6/doctest.py", line > 1253, in __run > compileflags, 1) in test.globs > File "<doctest model_evaluation.rst[78]>", line 1, in <module> > metrics.precision_score(y_true, y_pred, average=None) # doctest: > +ELLIPSIS > File > "<https://jenkins.shiningpanda-ci.com/scikit-learn/job/python-2.6-numpy-1.3.0-scipy-0.7.2/ws/sklearn/metrics/metrics.py";,> > line 1420, in precision_score > average=average) > File > "<https://jenkins.shiningpanda-ci.com/scikit-learn/job/python-2.6-numpy-1.3.0-scipy-0.7.2/ws/sklearn/metrics/metrics.py";,> > line 1300, in precision_recall_fscore_support > dtype=np.double) > TypeError: 'dtype' is an invalid keyword to divide > ---------------------------------------------------------------------- > File > "<https://jenkins.shiningpanda-ci.com/scikit-learn/job/python-2.6-numpy-1.3.0-scipy-0.7.2/ws/doc/modules/model_evaluation.rst";,> > line 544, in model_evaluation.rst > Failed example: > metrics.recall_score(y_true, y_pred, average=None) > Exception raised: > Traceback (most recent call last): > File "/sp/lib/python/cpython-2.6.8/lib/python2.6/doctest.py", line > 1253, in __run > compileflags, 1) in test.globs > File "<doctest model_evaluation.rst[79]>", line 1, in <module> > metrics.recall_score(y_true, y_pred, average=None) > File > "<https://jenkins.shiningpanda-ci.com/scikit-learn/job/python-2.6-numpy-1.3.0-scipy-0.7.2/ws/sklearn/metrics/metrics.py";,> > line 1497, in recall_score > average=average) > File > "<https://jenkins.shiningpanda-ci.com/scikit-learn/job/python-2.6-numpy-1.3.0-scipy-0.7.2/ws/sklearn/metrics/metrics.py";,> > line 1300, in precision_recall_fscore_support > dtype=np.double) > TypeError: 'dtype' is an invalid keyword to divide > ---------------------------------------------------------------------- > File > "<https://jenkins.shiningpanda-ci.com/scikit-learn/job/python-2.6-numpy-1.3.0-scipy-0.7.2/ws/doc/modules/model_evaluation.rst";,> > line 546, in model_evaluation.rst > Failed example: > metrics.f1_score(y_true, y_pred, average=None) # doctest: +ELLIPSIS > Exception raised: > Traceback (most recent call last): > File "/sp/lib/python/cpython-2.6.8/lib/python2.6/doctest.py", line > 1253, in __run > compileflags, 1) in test.globs > File "<doctest model_evaluation.rst[80]>", line 1, in <module> > metrics.f1_score(y_true, y_pred, average=None) # doctest: +ELLIPSIS > File > "<https://jenkins.shiningpanda-ci.com/scikit-learn/job/python-2.6-numpy-1.3.0-scipy-0.7.2/ws/sklearn/metrics/metrics.py";,> > line 1044, in f1_score > pos_label=pos_label, average=average) > File > "<https://jenkins.shiningpanda-ci.com/scikit-learn/job/python-2.6-numpy-1.3.0-scipy-0.7.2/ws/sklearn/metrics/metrics.py";,> > line 1143, in fbeta_score > average=average) > File > "<https://jenkins.shiningpanda-ci.com/scikit-learn/job/python-2.6-numpy-1.3.0-scipy-0.7.2/ws/sklearn/metrics/metrics.py";,> > line 1300, in precision_recall_fscore_support > dtype=np.double) > TypeError: 'dtype' is an invalid keyword to divide > ---------------------------------------------------------------------- > File > "<https://jenkins.shiningpanda-ci.com/scikit-learn/job/python-2.6-numpy-1.3.0-scipy-0.7.2/ws/doc/modules/model_evaluation.rst";,> > line 548, in model_evaluation.rst > Failed example: > metrics.fbeta_score(y_true, y_pred, average=None, beta=0.5) # doctest: > +ELLIPSIS > Exception raised: > Traceback (most recent call last): > File "/sp/lib/python/cpython-2.6.8/lib/python2.6/doctest.py", line > 1253, in __run > compileflags, 1) in test.globs > File "<doctest model_evaluation.rst[81]>", line 1, in <module> > metrics.fbeta_score(y_true, y_pred, average=None, beta=0.5) # > doctest: +ELLIPSIS > File > "<https://jenkins.shiningpanda-ci.com/scikit-learn/job/python-2.6-numpy-1.3.0-scipy-0.7.2/ws/sklearn/metrics/metrics.py";,> > line 1143, in fbeta_score > average=average) > File > "<https://jenkins.shiningpanda-ci.com/scikit-learn/job/python-2.6-numpy-1.3.0-scipy-0.7.2/ws/sklearn/metrics/metrics.py";,> > line 1300, in precision_recall_fscore_support > dtype=np.double) > TypeError: 'dtype' is an invalid keyword to divide > ---------------------------------------------------------------------- > File > "<https://jenkins.shiningpanda-ci.com/scikit-learn/job/python-2.6-numpy-1.3.0-scipy-0.7.2/ws/doc/modules/model_evaluation.rst";,> > line 550, in model_evaluation.rst > Failed example: > metrics.precision_recall_fscore_support(y_true, y_pred, beta=0.5) # > doctest: +ELLIPSIS > Exception raised: > Traceback (most recent call last): > File "/sp/lib/python/cpython-2.6.8/lib/python2.6/doctest.py", line > 1253, in __run > compileflags, 1) in test.globs > File "<doctest model_evaluation.rst[82]>", line 1, in <module> > metrics.precision_recall_fscore_support(y_true, y_pred, beta=0.5) # > doctest: +ELLIPSIS > File > "<https://jenkins.shiningpanda-ci.com/scikit-learn/job/python-2.6-numpy-1.3.0-scipy-0.7.2/ws/sklearn/metrics/metrics.py";,> > line 1300, in precision_recall_fscore_support > dtype=np.double) > TypeError: 'dtype' is an invalid keyword to divide > >>> raise self.failureException(self.format_failure(<StringIO.StringIO >>> instance at 0x2d35368>.getvalue())) > > > ---------------------------------------------------------------------- > Ran 29 tests in 71.805s > > FAILED (SKIP=2, failures=2) > 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 ... -- Olivier http://twitter.com/ogrisel - http://github.com/ogrisel ------------------------------------------------------------------------------ Get 100% visibility into Java/.NET code with AppDynamics Lite It's a free troubleshooting tool designed for production Get down to code-level detail for bottlenecks, with <2% overhead. Download for free and get started troubleshooting in minutes. http://p.sf.net/sfu/appdyn_d2d_ap2 _______________________________________________ Scikit-learn-general mailing list Scikit-learn-general@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/scikit-learn-general
