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0.23.0rc1

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0.22.2.post1

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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]>

0.22

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0.22rc3

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0.22rc2.post1

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Tagging 0.22rc2.post1, fixed the ReST issue in README

0.22rc2

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0.22rc1

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0.20.4

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FIX clip small values in PLS cross-decomposition for increased stabil…

…ity (scikit-learn#13903)