Mailman 3 April 2021 - Scikit-learn-commits

[scikit-learn/scikit-learn] 05476a: TST Add test for documentation of the classes_ att...
by judithabk6 18 Apr '24

18 Apr '24

Branch: refs/heads/master Home: https://github.com/scikit-learn/scikit-learn Commit: 05476a1d38c18be5c97b7b3afdd400be3ede05ed https://github.com/scikit-learn/scikit-learn/commit/05476a1d38c18be5c97b7b3… Author: judithabk6 <judithabk6(a)users.noreply.github.com> Date: 2020-01-31 (Fri, 31 Jan 2020) Changed paths: M sklearn/ensemble/_hist_gradient_boosting/gradient_boosting.py M sklearn/ensemble/_stacking.py M sklearn/multioutput.py M sklearn/tests/test_docstring_parameters.py M sklearn/utils/_mocking.py Log Message: ----------- TST Add test for documentation of the classes_ attribute (#16277) Co-authored-by: Alexandre Gramfort <alexandre.gramfort(a)m4x.org>

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[scikit-learn/scikit-learn] 86f47d: Fix warning in approximate_nearest_neighbors.py (#...
by Hirofumi Suzuki 07 Apr '24

07 Apr '24

Branch: refs/heads/master Home: https://github.com/scikit-learn/scikit-learn Commit: 86f47da52954cb68b5eb17ffcc909194e31bbaee https://github.com/scikit-learn/scikit-learn/commit/86f47da52954cb68b5eb17f… Author: Hirofumi Suzuki <hs-nazuna(a)users.noreply.github.com> Date: 2020-01-31 (Fri, 31 Jan 2020) Changed paths: M examples/neighbors/approximate_nearest_neighbors.py Log Message: ----------- Fix warning in approximate_nearest_neighbors.py (#16339)

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[scikit-learn/scikit-learn] c664df: DOC ensure all attributes are documented for RBFSa...
by judithabk6 07 Apr '24

07 Apr '24

Branch: refs/heads/master Home: https://github.com/scikit-learn/scikit-learn Commit: c664df47cc273ebc143a877825479a4f95f83db2 https://github.com/scikit-learn/scikit-learn/commit/c664df47cc273ebc143a877… Author: judithabk6 <judithabk6(a)users.noreply.github.com> Date: 2020-01-31 (Fri, 31 Jan 2020) Changed paths: M sklearn/kernel_approximation.py Log Message: ----------- DOC ensure all attributes are documented for RBFSampler (#16276)

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[scikit-learn/scikit-learn] 4b6273: ENH Native support for missing values in GBDTs (#1...
by Nicolas Hug 07 Apr '24

07 Apr '24

Branch: refs/heads/master Home: https://github.com/scikit-learn/scikit-learn Commit: 4b6273b87442a4437d8b3873ea3022ae163f4fdf https://github.com/scikit-learn/scikit-learn/commit/4b6273b87442a4437d8b387… Author: Nicolas Hug <contact(a)nicolas-hug.com> Date: 2019-08-21 (Wed, 21 Aug 2019) Changed paths: M benchmarks/bench_hist_gradient_boosting.py M doc/modules/ensemble.rst M doc/whats_new/v0.22.rst M sklearn/ensemble/_hist_gradient_boosting/_binning.pyx M sklearn/ensemble/_hist_gradient_boosting/_gradient_boosting.pyx M sklearn/ensemble/_hist_gradient_boosting/_loss.pyx M sklearn/ensemble/_hist_gradient_boosting/_predictor.pyx M sklearn/ensemble/_hist_gradient_boosting/binning.py A sklearn/ensemble/_hist_gradient_boosting/common.pxd A sklearn/ensemble/_hist_gradient_boosting/common.pyx M sklearn/ensemble/_hist_gradient_boosting/gradient_boosting.py M sklearn/ensemble/_hist_gradient_boosting/grower.py M sklearn/ensemble/_hist_gradient_boosting/histogram.pyx M sklearn/ensemble/_hist_gradient_boosting/loss.py M sklearn/ensemble/_hist_gradient_boosting/predictor.py M sklearn/ensemble/_hist_gradient_boosting/splitting.pyx M sklearn/ensemble/_hist_gradient_boosting/tests/test_binning.py M sklearn/ensemble/_hist_gradient_boosting/tests/test_compare_lightgbm.py M sklearn/ensemble/_hist_gradient_boosting/tests/test_gradient_boosting.py M sklearn/ensemble/_hist_gradient_boosting/tests/test_grower.py M sklearn/ensemble/_hist_gradient_boosting/tests/test_histogram.py M sklearn/ensemble/_hist_gradient_boosting/tests/test_loss.py M sklearn/ensemble/_hist_gradient_boosting/tests/test_predictor.py M sklearn/ensemble/_hist_gradient_boosting/tests/test_splitting.py R sklearn/ensemble/_hist_gradient_boosting/types.pxd R sklearn/ensemble/_hist_gradient_boosting/types.pyx M sklearn/ensemble/_hist_gradient_boosting/utils.pyx M sklearn/ensemble/setup.py Log Message: ----------- ENH Native support for missing values in GBDTs (#13911) * Added NaN support in mapper * pep * WIP * some more * WIP * WIP * bug fix * basic tests * some doc * avoid some interactions * Added tag * better test * decent test + fix bug * add missing_fraction param to benchmark * bin training and validation data separately * shorter test * Map missing values to first bin instead of last * pep8 * Added whats new entry * avoid some python interactions * make predict_binned work * fixed bug due to offset in bin_thresholds_ attribute * more sensible binning strat * typo * user name * Add small test * convert to fortran array in tests * some doc * Added function test * pep8 * Bin validation data using binmaper of training data * Allocate first bin for missing entries based on the whole data, not just training data. * Addressed Thomas' comments * Update sklearn/ensemble/_hist_gradient_boosting/tests/test_grower.py * Addressed Guillaume's comments * always allocate first bin for missing values * reduce diff * minor more consistent test * typo * WIP * some doc * reduce diff * pep8 * minor * remove prints * towards nan only splits * don't check right to left on split_on_nan * cleaups * format and comment * Fixed bug + added more tests * refactor tests * put back n_threads to max value * minor changes * minor cleaning * Add (failing) test that checks equivalence with min max imputation * Decrease the likelihood of ties when training the trees * More robust test * Fix pytest parametrization * Check bin thresholds in test * Try to make the test even easier to see if the Linux 32bit build would pass in this case * Don't check last non-missing bin if there's no nan * Improve min-max imputation test * FIX: _find_best_bin_to_split_right_to_left is still required even when left to right wants to split on nans * comments * remove split_on_nan * ooops deleted useless files * Got rid of individual checks in predictor code +inf thresholds are only allowed in a split on nan situation. Thresholds that are computed as +inf are capped to a very high constant value * can also remove special case in binning code * minor typos + more consistent test * renamed types -> common * 1e300 -> almost inf * added user guide section on missing values * Addressed Olivier's comment + updated whatsnew * addressed comments * Fix doctest formatting * Fix nan predictive doctest

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[scikit-learn/scikit-learn] e1c764: DOC Cleaning parameter spec in docstrings of base ...
by lopusz 07 Mar '24

07 Mar '24

Branch: refs/heads/master Home: https://github.com/scikit-learn/scikit-learn Commit: e1c7649469eb91c4a23796717b58da266345ab8e https://github.com/scikit-learn/scikit-learn/commit/e1c7649469eb91c4a237967… Author: lopusz <lopusz(a)users.noreply.github.com> Date: 2020-01-31 (Fri, 31 Jan 2020) Changed paths: M sklearn/base.py Log Message: ----------- DOC Cleaning parameter spec in docstrings of base module (#16284)

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[scikit-learn/scikit-learn] 63e5ae: TST Use same random seeds for both GaussianMixture...
by GitHub 07 Mar '24

07 Mar '24

Branch: refs/heads/master Home: https://github.com/scikit-learn/scikit-learn Commit: 63e5ae6319285c44b1a9519aa6acd9006c82a10a https://github.com/scikit-learn/scikit-learn/commit/63e5ae6319285c44b1a9519… Author: Oleksandr Pavlyk <oleksandr-pavlyk(a)users.noreply.github.com> Date: 2018-10-07 (Sun, 07 Oct 2018) Changed paths: M sklearn/mixture/tests/test_gaussian_mixture.py Log Message: ----------- TST Use same random seeds for both GaussianMixture.fit (#12307) **NOTE:** This service has been marked for deprecation: https://developer.github.com/changes/2018-04-25-github-services-deprecation/ Functionality will be removed from GitHub.com on January 31st, 2019.

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[scikit-learn/scikit-learn] 6b646d: fix space missing around parameter in documentatio...
by judithabk6 06 Mar '24

06 Mar '24

Branch: refs/heads/master Home: https://github.com/scikit-learn/scikit-learn Commit: 6b646da89c516a14adf36bad2994b5782df67050 https://github.com/scikit-learn/scikit-learn/commit/6b646da89c516a14adf36ba… Author: judithabk6 <judithabk6(a)users.noreply.github.com> Date: 2020-01-31 (Fri, 31 Jan 2020) Changed paths: M sklearn/kernel_approximation.py Log Message: ----------- fix space missing around parameter in documentation (#16351)

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[scikit-learn/scikit-learn] 83985e: DOC Sort estimator tags in alphabetical order (#16...
by Sebastian Kießling 04 Mar '24

04 Mar '24

Branch: refs/heads/master Home: https://github.com/scikit-learn/scikit-learn Commit: 83985e9fe82d22ae984a09282d82a6a8dbcbaa9a https://github.com/scikit-learn/scikit-learn/commit/83985e9fe82d22ae984a092… Author: Sebastian Kießling <sebkies(a)gmail.com> Date: 2020-01-31 (Fri, 31 Jan 2020) Changed paths: M doc/developers/develop.rst Log Message: ----------- DOC Sort estimator tags in alphabetical order (#16334)

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[scikit-learn/scikit-learn] 528b04: FIX ColumnTransformer.get_feature_names with for e...
by Roman Yurchak 04 Feb '24

04 Feb '24

Branch: refs/heads/master Home: https://github.com/scikit-learn/scikit-learn Commit: 528b044a22f0afad4ebca2197589b62b869326c1 https://github.com/scikit-learn/scikit-learn/commit/528b044a22f0afad4ebca21… Author: Roman Yurchak <rth.yurchak(a)gmail.com> Date: 2020-01-31 (Fri, 31 Jan 2020) Changed paths: M doc/whats_new/v0.23.rst M sklearn/compose/_column_transformer.py M sklearn/compose/tests/test_column_transformer.py Log Message: ----------- FIX ColumnTransformer.get_feature_names with for empty list of (#15963) columns

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[scikit-learn/scikit-learn] ccc81c: DOC Improve random_state descriptions for Gradient...
by Pierre Delanoue 30 Jan '24

30 Jan '24

Branch: refs/heads/master Home: https://github.com/scikit-learn/scikit-learn Commit: ccc81cc3a90ea1080c2d03c3a12fd638325da792 https://github.com/scikit-learn/scikit-learn/commit/ccc81cc3a90ea1080c2d03c… Author: Pierre Delanoue <delanoue.pierre(a)gmail.com> Date: 2020-01-31 (Fri, 31 Jan 2020) Changed paths: M sklearn/ensemble/_gb.py Log Message: ----------- DOC Improve random_state descriptions for GradientBoosting (#16314)

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