Resolving conflicts #6
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…earn#16742) * add permutation importance to gbr * format document * separate deviance from feature importance during plotting * add some analysis * Update examples/ensemble/plot_gradient_boosting_regression.py Co-Authored-By: Adrin Jalali <adrin.jalali@gmail.com> Co-authored-by: Katrina Ni <kani@tableau.com> Co-authored-by: Adrin Jalali <adrin.jalali@gmail.com>
* Simplified exmaple * Update sklearn/pipeline.py Co-Authored-By: Tom Dupré la Tour <tom.dupre-la-tour@m4x.org> Co-authored-by: Tom Dupré la Tour <tom.dupre-la-tour@m4x.org>
* DOC make __init__ params in decomposition kwonly * test fixes * pep8
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Co-authored-by: sophsoph321 <sbz24@cornell.edu>
* BUG Fixes cython in splitting * REV Revert * Revert "REV Revert" This reverts commit d1cf3b1. * WIP Uses signed char * WIP Maybe use signed chars * WIP const signed chars
* MNT Add threadpoolctl dependency to README.rst * MNT Add threadpoolctl dependency to advanced installation instructions
* ENH Adds public functions with position args warning * BUG Circlar import * STY * BUG Add keywords * BUG Fixes warnings * ENH Adds other public functions * CLN Suggestion * CLN Suggestion * REV Revert pairwise * ENH Positoinal args for compute_class_weight
* add grep * directs to test CI * attempt2 * better output format * use find * revert test rst file * better message * faster grep
…arn#17144) Co-authored-by: Thomas J Fan <thomasjpfan@gmail.com>
* normalize_components in sparsePCA * changed default strategy of Dummy to prior and removed outputs_2d ttribute * removed usage of None to drop estimator in ensemble and behaviour param of IsolationForest * remove support for drop=None in Voting * removed some warning decorators * remove feature_extraction.extract_patches * removed VectorizerMixin and copy parameter from TFIDFVectorizer * kernel.set_params now raises attributeerror * removed fig from plot_partial_dependence * removed iid parameter of search estimators * removed brier_scorer * raise error in split when shuffle is False and random_state is not None * removed MultiOutputEstimator * removed base classes of NaiveBayes * removed drop from pipeline * removed utils in random_projection * removed presort and classes_ in trees * flake8 * fixed some tests * flake * fixed docstring * fixed other one * some left * mmmm
Lots of deprecations for 0.24
Merging changes from the main repository
Update branch
f0debb6
into
Proposition-for-BernoulliNB-and-MultinomialNB-when-alpha-is-close-or-equal-0
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Resolving conflicts with main repository.