[MRG] MAINT deprecate explicit indices parameter to CV generators, even if True#1
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[MRG] MAINT deprecate explicit indices parameter to CV generators, even if True#1
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[DOC] Remove that RBM's are not implemented yet
FIX: release reference to X in _tree.splitter
* added extra checks for custom vocab in CountVectorizer * added test for custom vocab to check fauly vocabs Fixes scikit-learn#2357.
- Added 'cosine_distances' function to sklearn.metrics.pairwise. - Added 'cosine' as metric in 'pairwise_distances' function. - Corrected doc string of same function, because all metrics based on the 'manhattan_distances' function (i.e. 'cityblock', 'l1', and 'manhattan') do currently NOT support sparse matrices. - Added corresponding corresponding unit test.
... instead of to itself.
These warnings are issued practically always when using frequency-valued or boolean data. Switched to a stable sort to get reproducible results.
Cosine distance metric for sparse matrices
[MRG] remove warnings in univariate feature selection
FIX: free self.estimators_
DOC: Update pyamg site and fix a typo.
MRG: DOC: Simpler cross-validation iterator doc
* Rewritten for efficiency and neatness. Note the handling of multilabel-sequences format by binarizing is in response to benchmarks. * Also fixed some warning handling in tests
[MRG] faster, flatter precision_recall_fscore_support
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Nov 20, 2016
Unicode docstrings are not handled correctly on Python 2.x
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ENH : simplify handling of Yield section
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…scikit-learn#7838) * initial commit for return_std * initial commit for return_std * adding tests, examples, ARD predict_std * adding tests, examples, ARD predict_std * a smidge more documentation * a smidge more documentation * Missed a few PEP8 issues * Changing predict_std to return_std #1 * Changing predict_std to return_std #2 * Changing predict_std to return_std #3 * Changing predict_std to return_std final * adding better plots via polynomial regression * trying to fix flake error * fix to ARD plotting issue * fixing some flakes * Two blank lines part 1 * Two blank lines part 2 * More newlines! * Even more newlines * adding info to the doc string for the two plot files * Rephrasing "polynomial" for Bayesian Ridge Regression * Updating "polynomia" for ARD * Adding more formal references * Another asked-for improvement to doc string. * Fixing flake8 errors * Cleaning up the tests a smidge. * A few more flakes * requested fixes from Andy * Mini bug fix * Final pep8 fix * pep8 fix round 2 * Fix beta_ to alpha_ in the comments
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* Add averaging option to AMI and NMI Leave current behavior unchanged * Flake8 fixes * Incorporate tests of means for AMI and NMI * Add note about `average_method` in NMI * Update docs from AMI, NMI changes (#1) * Correct the NMI and AMI descriptions in docs * Update docstrings due to averaging changes - V-measure - Homogeneity - Completeness - NMI - AMI * Update documentation and remove nose tests (#2) * Update v0.20.rst * Update test_supervised.py * Update clustering.rst * Fix multiple spaces after operator * Rename all arguments * No more arbitrary values! * Improve handling of floating-point imprecision * Clearly state when the change occurs * Update AMI/NMI docs * Update v0.20.rst * Catch FutureWarnings in AMI and NMI
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Jun 26, 2019
Replacing the Pipeline changes by ResampledTrainer
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Fixes up some gaps in scikit-learn#2334