Mailman 3 - Scikit-learn-commits

[scikit-learn/scikit-learn] 70829b: MNT Small check sample weight refactor (#16324)
by Thomas J Fan 16 May '24

16 May '24

Branch: refs/heads/master Home: https://github.com/scikit-learn/scikit-learn Commit: 70829b34df8a1d98a15250f041102c6c0b10e2d1 https://github.com/scikit-learn/scikit-learn/commit/70829b34df8a1d98a15250f… Author: Thomas J Fan <thomasjpfan(a)gmail.com> Date: 2020-01-30 (Thu, 30 Jan 2020) Changed paths: M sklearn/utils/validation.py Log Message: ----------- MNT Small check sample weight refactor (#16324)

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

16 May '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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icmmeteo
by rebelssasha＠gmail.com 16 May '24

16 May '24

Living in Warsaw, where the weather can change on a dime, I rely on the https://icmmeteo.pl/1947/warszawa to plan my day before I leave my apartment. Checking the widget has become as routine as my morning coffee. It's never let me down, helping me decide whether to grab an umbrella or sunglasses on my way out.

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[scikit-learn/scikit-learn] 4b6273: ENH Native support for missing values in GBDTs (#1...
by Nicolas Hug 15 May '24

15 May '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] 91badf: DOC Format docstrings in _coordinate_descent.py (#...
by Hirofumi Suzuki 14 May '24

14 May '24

Branch: refs/heads/master Home: https://github.com/scikit-learn/scikit-learn Commit: 91badfab662ad1eafda4b60d078f563f010265cc https://github.com/scikit-learn/scikit-learn/commit/91badfab662ad1eafda4b60… Author: Hirofumi Suzuki <hs-nazuna(a)users.noreply.github.com> Date: 2020-01-30 (Thu, 30 Jan 2020) Changed paths: M sklearn/linear_model/_coordinate_descent.py Log Message: ----------- DOC Format docstrings in _coordinate_descent.py (#16285)

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[scikit-learn/scikit-learn] e05b9e: MNT Comment out instructions in bug report templat...
by Thomas J Fan 14 May '24

14 May '24

Branch: refs/heads/master Home: https://github.com/scikit-learn/scikit-learn Commit: e05b9e146006236aa41349105e8a01ac9535fba7 https://github.com/scikit-learn/scikit-learn/commit/e05b9e146006236aa413491… Author: Thomas J Fan <thomasjpfan(a)gmail.com> Date: 2020-01-30 (Thu, 30 Jan 2020) Changed paths: M .github/ISSUE_TEMPLATE/bug_report.md Log Message: ----------- MNT Comment out instructions in bug report template (#16325)

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Get Quality Assignment Help With Ease
by clairemiller069＠gmail.com 09 May '24

09 May '24

Systems Analysis and Design Assignment help https://www.expertsmind.com/library/develop-information-systems-using-unifi… assists students in grasping the intricacies of developing efficient information systems. This specialized field requires understanding user needs, designing system architectures, and implementing solutions. Expert guidance ensures proficiency in methodologies like Agile or Waterfall, fostering skills in requirement gathering, modeling, and testing. Through tailored assistance, students navigate complex concepts, ensuring their readiness to tackle real-world challenges in system development, enhancing their academic performance and professional prospects.

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[scikit-learn/scikit-learn] ccc81c: DOC Improve random_state descriptions for Gradient...
by Pierre Delanoue 09 May '24

09 May '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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[scikit-learn/scikit-learn] 05476a: TST Add test for documentation of the classes_ att...
by judithabk6 03 May '24

03 May '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 29 Apr '24

29 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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