Tags: klemag/scikit-learn
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0.22.1 release (scikit-learn#15998) * DOC fixed default values in dbscan (scikit-learn#15753) * DOC fix incorrect branch reference in contributing doc (scikit-learn#15779) * DOC relabel Feature -> Efficiency in change log (scikit-learn#15770) * DOC fixed Birch default value (scikit-learn#15780) * STY Minior change on code padding in website theme (scikit-learn#15768) * DOC Fix yticklabels order in permutation importances example (scikit-learn#15799) * Fix yticklabels order in permutation importances example * STY Update wrapper width (scikit-learn#15793) * DOC Long sentence was hard to parse and ambiguous in _classification.py (scikit-learn#15769) * DOC Removed duplicate 'classes_' attribute in Naive Bayes classifiers (scikit-learn#15811) * BUG Fixes pandas dataframe bug with boolean dtypes (scikit-learn#15797) * BUG Returns only public estimators in all_estimators (scikit-learn#15380) * DOC improve doc for multiclass and types_of_target (scikit-learn#15333) * TST Increases tol for check_pca_float_dtype_preservation assertion (scikit-learn#15775) * update _alpha_grid class in _coordinate_descent.py (scikit-learn#15835) * FIX Explicit conversion of ndarray to object dtype. (scikit-learn#15832) * BLD Parallelize sphinx builds on circle ci (scikit-learn#15745) * DOC correct url for preprocessing (scikit-learn#15853) * MNT avoid generating too many cross links in examples (scikit-learn#15844) * DOC Correct wrong doc in precision_recall_fscore_support (scikit-learn#15833) * DOC add comment in check_pca_float_dtype_preservation (scikit-learn#15819) Documenting the changes in scikit-learn#15775 * DOC correct indents in docstring _split.py (scikit-learn#15843) * DOC fix docstring of KMeans based on sklearn guideline (scikit-learn#15754) * DOC fix docstring of AgglomerativeClustering based on sklearn guideline (scikit-learn#15764) * DOC fix docstring of AffinityPropagation based on sklearn guideline (scikit-learn#15777) * DOC fixed SpectralCoclustering and SpectralBiclustering docstrings following sklearn guideline (scikit-learn#15778) * DOC fix FeatureAgglomeration and MiniBatchKMeans docstring following sklearn guideline (scikit-learn#15809) * TST Specify random_state in test_cv_iterable_wrapper (scikit-learn#15829) * DOC Include LinearSV{C, R} in models that support sample_weights (scikit-learn#15871) * DOC correct some indents (scikit-learn#15875) * DOC Fix documentation of default values in tree classes (scikit-learn#15870) * DOC fix typo in docstring (scikit-learn#15887) * DOC FIX default value for xticks_rotation in plot_confusion_matrix (scikit-learn#15890) * Fix imports in pip3 ubuntu by suffixing affected files (scikit-learn#15891) * MNT Raise erorr when normalize is invalid in confusion_matrix (scikit-learn#15888) * [MRG] DOC Increases search results for API object results (scikit-learn#15574) * MNT Ignores warning in pyamg for deprecated scipy.random (scikit-learn#15914) * DOC Instructions to troubleshoot Windows path length limit (scikit-learn#15916) * DOC add versionadded directive to some estimators (scikit-learn#15849) * DOC clarify doc-string of roc_auc_score and add references (scikit-learn#15293) * MNT Adds skip lint to azure pipeline CI (scikit-learn#15904) * BLD Fixes bug when building with NO_MATHJAX=1 (scikit-learn#15892) * [MRG] BUG Checks to number of axes in passed in ax more generically (scikit-learn#15760) * EXA Minor fixes in plot_sparse_logistic_regression_20newsgroups.py (scikit-learn#15925) * BUG Do not shadow public functions with deprecated modules (scikit-learn#15846) * Import sklearn._distributor_init first (scikit-learn#15929) * DOC Fix typos, via a Levenshtein-style corrector (scikit-learn#15923) * DOC in canned comment, mention that PR title becomes commit me… (scikit-learn#15935) * DOC/EXA Correct spelling of "Classification" (scikit-learn#15938) * BUG fix pip3 ubuntu update by suffixing file (scikit-learn#15928) * [MRG] Ways to compute center_shift_total were different in "full" and "elkan" algorithms. (scikit-learn#15930) * TST Fixes integer test for train and test indices (scikit-learn#15941) * BUG ensure that parallel/sequential give the same permutation importances (scikit-learn#15933) * Formatting fixes in changelog (scikit-learn#15944) * MRG FIX: order of values of self.quantiles_ in QuantileTransformer (scikit-learn#15751) * [MRG] BUG Fixes constrast in plot_confusion_matrix (scikit-learn#15936) * BUG use zero_division argument in classification_report (scikit-learn#15879) * DOC change logreg solver in plot_logistic_path (scikit-learn#15927) * DOC fix whats new ordering (scikit-learn#15961) * COSMIT use np.iinfo to define the max int32 (scikit-learn#15960) * DOC Apply numpydoc validation to VotingRegressor methods (scikit-learn#15969) Co-authored-by: Tiffany R. Williams <[email protected]> * DOC improve naive_bayes.py documentation (scikit-learn#15943) Co-authored-by: Jigna Panchal <[email protected]> * DOC Fix default values in Perceptron documentation (scikit-learn#15965) * DOC Improve default values in logistic documentation (scikit-learn#15966) Co-authored-by: Guillaume Lemaitre <[email protected]> * DOC Improve documentation of default values for imputers (scikit-learn#15964) * EXA/MAINT Simplify code in manifold learning example (scikit-learn#15949) * DOC Improve default values in SGD documentation (scikit-learn#15967) * DOC Improve defaults in neural network documentation (scikit-learn#15968) * FIX use safe_sparse_dot for callable kernel in LabelSpreading (scikit-learn#15868) * BUG Adds attributes back to check_is_fitted (scikit-learn#15947) Co-authored-by: Olivier Grisel <[email protected]> * DOC update check_is_fitted what's new * DOC change python-devel to python3-devel for yum. (scikit-learn#15986) * DOC Correct the default value of values_format in plot_confusion_matrix (scikit-learn#15981) * [MRG] MNT Updates pypy to use 7.2.0 (scikit-learn#15954) * FIX Add missing 'values_format' param to disp.plot() in plot_confusion_matrix (scikit-learn#15937) * FIX support scalar values in fit_params in SearchCV (scikit-learn#15863) * support a scalar fit param * pep8 * TST add test for desired behavior * FIX introduce _check_fit_params to validate parameters * DOC update whats new * TST tests both grid-search and randomize-search * PEP8 * DOC revert unecessary change * TST add test for _check_fit_params * olivier comments * TST fixes * DOC whats new * DOC whats new * TST revert type of error * add olivier suggestions * address olivier comments * address thomas comments * PEP8 * comments olivier * TST fix test by passing X * avoid to call twice tocsr * add case column/row sparse in check_fit_param * provide optional indices * TST check content when indexing params * PEP8 * TST update tests to check identity * stupid fix * use a distribution in RandomizedSearchCV * MNT add lightgbm to one of the CI build * move to another build * do not install dependencies lightgbm * MNT comments on the CI setup * address some comments * Test fit_params compat without dependency on lightgbm Co-authored-by: Guillaume Lemaitre <[email protected]> Co-authored-by: Olivier Grisel <[email protected]> * Remove abstractmethod that silently brake downstream packages (scikit-learn#15996) * FIX restore BaseNB._check_X without abstractmethod decoration (scikit-learn#15997) * Update v0.22 changelog for 0.22.1 (scikit-learn#16002) - set the date - move entry for quantile transformer to the 0.22.1 section - fix alphabetical ordering of modules * STY Removes hidden scroll bar (scikit-learn#15999) * Flake8 fixes * Fix: remove left-over lines that should have been deleted during conflict resolution when rebasing * Fix missing imports * Update version * Fix test_check_is_fitted * Make test_sag_regressor_computed_correctly deterministic (scikit-learn#16003) Fix scikit-learn#15818. Co-authored-by: cgsavard <[email protected]> Co-authored-by: Joel Nothman <[email protected]> Co-authored-by: Thomas J Fan <[email protected]> Co-authored-by: Matt Hall <[email protected]> Co-authored-by: Kathryn Poole <[email protected]> Co-authored-by: lucyleeow <[email protected]> Co-authored-by: JJmistry <[email protected]> Co-authored-by: Juan Carlos Alfaro Jiménez <[email protected]> Co-authored-by: SylvainLan <[email protected]> Co-authored-by: Nicolas Hug <[email protected]> Co-authored-by: Hanmin Qin <[email protected]> Co-authored-by: Adrin Jalali <[email protected]> Co-authored-by: Vachan D A <[email protected]> Co-authored-by: Sambhav Kothari <[email protected]> Co-authored-by: wenliwyan <[email protected]> Co-authored-by: shivamgargsya <[email protected]> Co-authored-by: Reshama Shaikh <[email protected]> Co-authored-by: Oliver Urs Lenz <[email protected]> Co-authored-by: Loïc Estève <[email protected]> Co-authored-by: Brian Wignall <[email protected]> Co-authored-by: Ritchie Ng <[email protected]> Co-authored-by: Guillaume Lemaitre <[email protected]> Co-authored-by: inderjeet <[email protected]> Co-authored-by: scibol <[email protected]> Co-authored-by: Tirth Patel <[email protected]> Co-authored-by: Bibhash Chandra Mitra <[email protected]> Co-authored-by: Alexandre Gramfort <[email protected]> Co-authored-by: Tiffany R. Williams <[email protected]> Co-authored-by: Jigna Panchal <[email protected]> Co-authored-by: @nkish <[email protected]> Co-authored-by: Pulkit Mehta <[email protected]> Co-authored-by: David Breuer <[email protected]> Co-authored-by: Niklas <[email protected]> Co-authored-by: Windber <[email protected]> Co-authored-by: Stephen Blystone <[email protected]> Co-authored-by: Brigitta Sipőcz <[email protected]>
FIX clip small values in PLS cross-decomposition for increased stabil… …ity (scikit-learn#13903)
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