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MNT use a single job by default with sphinx build #25836

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merged 2 commits into from
Mar 14, 2023

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adrinjalali
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@adrinjalali adrinjalali commented Mar 13, 2023

I don't think in most cases parallel run is going to be faster, at least for me the difference is about 6 minutes, sequencial run being faster:

# auto
4765.77user 2308.57system 27:44.35elapsed 425%CPU (0avgtext+0avgdata 3165084maxresident)k
14448inputs+2382992outputs (198major+9639491minor)pagefaults 0swaps

# 1
3799.71user 1916.26system 21:54.21elapsed 434%CPU (0avgtext+0avgdata 3157024maxresident)k
22064inputs+764960outputs (69major+4528302minor)pagefaults 0swaps

This PR makes sequencial run the default for sphinx.

cc @lesteve @glemaitre

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Yep this seems reasonable then.

@lesteve
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lesteve commented Mar 13, 2023

Can you add the sphinx version you used in your top post for future reference?

If we think SPHINX_NUMJOBS=1 is always a good idea, we should probably remove export SPHINX_NUMJOBS=2 from build_tools/circle/build_doc.sh and possibly remove SPHINX_NUMJOBS=1 from .circle/config.yml since it will default to 1.

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lesteve commented Mar 13, 2023

My data point on my machine with sphinx 6.1.3 for the make html-noplot part (i.e. without running the examples):

SPHINX_NUMJOBS=1 make html-noplot 2m52s
SPHINX_NUMJOBS=2 make html-noplot 2m6s
SPHINX_NUMJOBS=auto make html-noplot 1m29s (same thing as SPHINX_NUMJOBS=4, I have 2 physical cores and 4 logical cores on my machine)

so in this case SPHINX_NUMJOBS seems a bit useful, roughly from 3 minutes to 1.5 minute with SPHINX_NUMJOBS=auto.

IIRC examples are not run in parallel by sphinx-gallery, so I don't expect SPHINX_NUMJOBS to provide much speed-up when running the examples.

I would say people are more likely to do make html-noplot on their local machine than make html so maybe SPHINX_NUMJOBS=auto is still a bit useful locally?

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I personally almost never remember to do noplots, and I just run make html, which is what we tell people to do in our docs. And I'm pretty sure the number of jobs has an effect there. My spihnx versoins:

  sphinx                         6.1.3         pyhd8ed1ab_0         conda-forge
  sphinx-gallery                 0.12.1        pyhd8ed1ab_0         conda-forge
  sphinx-prompt                  1.4.0         pyhd8ed1ab_0         conda-forge
  sphinxcontrib-applehelp        1.0.4         pyhd8ed1ab_0         conda-forge
  sphinxcontrib-devhelp          1.0.2         py_0                 conda-forge
  sphinxcontrib-htmlhelp         2.0.1         pyhd8ed1ab_0         conda-forge
  sphinxcontrib-jsmath           1.0.1         py_0                 conda-forge
  sphinxcontrib-qthelp           1.0.3         py_0                 conda-forge
  sphinxcontrib-serializinghtml  1.1.5         pyhd8ed1ab_2         conda-forge
  sphinxext-opengraph            0.8.1         pyhd8ed1ab_0         conda-forge

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Since now we're setting the number of jobs in circleci config, removing it from the script makes sense.

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lesteve commented Mar 13, 2023

I tried running locally the full doc build and I get very similar timings with both SPHINX_NUMJOBS=1 and SPHINX_NUMJOBS=auto, roughly 20 minutes. I used the same environment as in the CI:

conda-lock install --name scikit-learn-doc build_tools/circle/doc_linux-64_conda.lock

The sphinx versions are:

sphinx                    6.0.0              pyhd8ed1ab_2    conda-forge
sphinx-gallery            0.11.1             pyhd8ed1ab_0    conda-forge
sphinx-prompt             1.4.0              pyhd8ed1ab_0    conda-forge
sphinxcontrib-applehelp   1.0.4              pyhd8ed1ab_0    conda-forge
sphinxcontrib-devhelp     1.0.2                      py_0    conda-forge
sphinxcontrib-htmlhelp    2.0.0              pyhd8ed1ab_0    conda-forge
sphinxcontrib-jsmath      1.0.1                      py_0    conda-forge
sphinxcontrib-qthelp      1.0.3                      py_0    conda-forge
sphinxcontrib-serializinghtml 1.1.5              pyhd8ed1ab_2    conda-forge
sphinxext-opengraph       0.7.5                    pypi_0    pypi

I personally almost never remember to do noplots, and I just run make html, which is what we tell people to do in our docs.

The first thing we mention is make which does make html-noplot so you don't have to remember much 😉. Having said that, I did not remember that make was doing make html-noplot probably because it was introduced after I learned to do make html-noplot ...

All in all, on my machine it seems like SPHINX_NUMJOBS=auto is useful for make html-noplot and does not improve make html but does not make it worse contrary to what you are seeing on your machine. So I am not sure what to do ...

Can you try if make html-noplot is also worse with SPHINX_NUMJOBS=auto on your machine? If that's the case, I am fine merging this PR.

@adrinjalali
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make html-noplot is faster for me too, but that's only because we don't run any code for that.

In terms of tradeoffs, this PR saves me 6 minutes on each run, and makes you wait one extra minute compared to status quo 😁

Ideally we'd be able to control the number of jobs for sphinx-gallery and set that to 1, while leaving the rest on auto.

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lesteve commented Mar 14, 2023

OK let's merge this one, in an ideal world we would keep SPHINX_NUMJOBS=auto during make html-noplot but I don't have the energy to figure out how to do it in our Makefile.

Ideally we'd be able to control the number of jobs for sphinx-gallery and set that to 1, while leaving the rest on auto.

Again, examples are not run in parallel, I watched the htop output while running make html and this matches my expectation. Also this very old sphinx-gallery issue sphinx-gallery/sphinx-gallery#25.

@lesteve lesteve merged commit 683028f into scikit-learn:main Mar 14, 2023
@adrinjalali adrinjalali deleted the sphinx-1 branch March 14, 2023 15:10
Veghit pushed a commit to Veghit/scikit-learn that referenced this pull request Apr 15, 2023
MohitBurkule added a commit to MohitBurkule/scikit-learn that referenced this pull request May 7, 2023
* MAINT Clean deprecated losses in (hist) gradient boosting for 1.3 (scikit-learn#25834)

* MAINT Clean deprecation of normalize in calibration_curve for 1.3 (scikit-learn#25833)

* BLD Clean command removes generated from cython templates (scikit-learn#25839)

* PERF Implement `PairwiseDistancesReduction` backend for `KNeighbors.predict_proba` (scikit-learn#24076)

Signed-off-by: Julien Jerphanion <git@jjerphan.xyz>
Co-authored-by: Julien Jerphanion <git@jjerphan.xyz>
Co-authored-by: Olivier Grisel <olivier.grisel@ensta.org>

* MAINT Added Parameter Validation for datasets.make_circles (scikit-learn#25848)

Co-authored-by: jeremiedbb <jeremiedbb@yahoo.fr>

* MNT use a single job by default with sphinx build (scikit-learn#25836)

* BLD Generate warning automatically for templated cython files (scikit-learn#25842)

* MAINT parameter validation for sklearn.datasets.fetch_lfw_people (scikit-learn#25820)

Co-authored-by: jeremiedbb <jeremiedbb@yahoo.fr>

* MAINT Parameters validation for metrics.fbeta_score (scikit-learn#25841)

* TST add global_random_seed fixture to sklearn/covariance/tests/test_robust_covariance.py (scikit-learn#25821)

* MAINT Parameter validation for linear_model.orthogonal_mp (scikit-learn#25817)

* TST activate common tests for TSNE (scikit-learn#25374)

* CI Update lock files (scikit-learn#25849)

* MAINT Added Parameter Validation for metrics.mean_gamma_deviance (scikit-learn#25853)

* MAINT Parameters validation for feature_selection.mutual_info_regression (scikit-learn#25850)

* MAINT parameter validation metrics.class_likelihood_ratios (scikit-learn#25863)

Co-authored-by: Jérémie du Boisberranger <34657725+jeremiedbb@users.noreply.github.com>

* MAINT Ensure disjoint interval constraints (scikit-learn#25797)

* MAINT Parameters validation for utils.gen_batches (scikit-learn#25864)

* TST use global_random_seed in test_dict_vectorizer.py (scikit-learn#24533)

* TST use global_random_seed in test_pls.py (scikit-learn#24526)

Co-authored-by: jeremiedbb <jeremiedbb@yahoo.fr>

* TST use global_random_seed in test_gpc.py (scikit-learn#24600)

Co-authored-by: jeremiedbb <jeremiedbb@yahoo.fr>

* DOC Fix overlapping plot axis in bench_sample_without_replacement.py (scikit-learn#25870)

* MAINT Use contiguous memoryviews in _random.pyx (scikit-learn#25871)

* MAINT parameter validation sklearn.datasets.fetch_lfw_pair (scikit-learn#25857)

* MAINT Parameters validation for metrics.classification_report (scikit-learn#25868)

* Empty commit

* DOC fix docstring dtype parameter in OrdinalEncoder (scikit-learn#25877)

* MAINT Clean up depreacted "log" loss of SGDClassifier for 1.3 (scikit-learn#25865)

* ENH Adds TargetEncoder (scikit-learn#25334)

Co-authored-by: Andreas Mueller <t3kcit@gmail.com>
Co-authored-by: Olivier Grisel <olivier.grisel@ensta.org>
Co-authored-by: Jovan Stojanovic <62058944+jovan-stojanovic@users.noreply.github.com>
Co-authored-by: Guillaume Lemaitre <g.lemaitre58@gmail.com>

* CI make it possible to cancel running Azure jobs (scikit-learn#25876)

* MAINT Clean-up deprecated if_delegate_has_method for 1.3 (scikit-learn#25879)

* MAINT Parameter validation for tree.export_text (scikit-learn#25867)

* DOC impact of `tol` for solvers in RidgeClassifier (scikit-learn#25530)

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Co-authored-by: Jérémie du Boisberranger <34657725+jeremiedbb@users.noreply.github.com>

* MAINT Parameters validation for metrics.ndcg_score (scikit-learn#25885)

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Co-authored-by: jeremiedbb <jeremiedbb@yahoo.fr>
Co-authored-by: Guillaume Lemaitre <g.lemaitre58@gmail.com>
Co-authored-by: Jérémie du Boisberranger <34657725+jeremiedbb@users.noreply.github.com>

* TST use global_random_seed in sklearn/tests/test_dummy.py (scikit-learn#25884)

* DOC improve calibration user guide (scikit-learn#25687)

* ENH Support for sparse matrices added to `sklearn.metrics.silhouette_samples` (scikit-learn#24677)

Co-authored-by: Sahil Gupta <sahil@Sahils-MBP.lan>
Co-authored-by: Thomas J. Fan <thomasjpfan@gmail.com>
Co-authored-by: Guillaume Lemaitre <g.lemaitre58@gmail.com>

* MAINT validate_params for plot_tree (scikit-learn#25882)

Co-authored-by: Itay <itayvegh@gmail.com>

* MAINT add missing space in error message in SVM (scikit-learn#25913)

* FIX Adds requires_y tag to TargetEncoder (scikit-learn#25917)

* MAINT Consistent cython types continued (scikit-learn#25810)

* TST Speed-up common tests of DictionaryLearning (scikit-learn#25892)

* TST Speed-up test_dbscan_optics_parity (scikit-learn#25893)

* ENH add np.nan option for zero_division in precision/recall/f-score (scikit-learn#25531)

Co-authored-by: Guillaume Lemaitre <g.lemaitre58@gmail.com>

* MAINT Parameters validation for datasets.make_low_rank_matrix (scikit-learn#25901)

* MAINT Parameter validation for metrics.cluster.adjusted_mutual_info_score (scikit-learn#25898)

Co-authored-by: Jérémie du Boisberranger <34657725+jeremiedbb@users.noreply.github.com>

* TST Speed-up test_partial_dependence.test_output_shape (scikit-learn#25895)

Co-authored-by: Thomas J. Fan <thomasjpfan@gmail.com>

* MAINT Parameters validation for datasets.make_regression (scikit-learn#25899)

Co-authored-by: Jérémie du Boisberranger <34657725+jeremiedbb@users.noreply.github.com>

* MAINT Parameters validation for metrics.mean_squared_log_error (scikit-learn#25924)

* TST Use global_random_seed in tests/test_naive_bayes.py (scikit-learn#25890)

* TST add global_random_seed fixture to sklearn/datasets/tests/test_covtype.py (scikit-learn#25904)

Co-authored-by: Jérémie du Boisberranger <34657725+jeremiedbb@users.noreply.github.com>
Co-authored-by: jeremiedbb <jeremiedbb@yahoo.fr>

* MAINT Parameters validation for datasets.make_multilabel_classification (scikit-learn#25920)

* Fixed feature mapping typo (scikit-learn#25934)

* MAINT switch to newer codecov uploader (scikit-learn#25919)

Co-authored-by: Loïc Estève <loic.esteve@ymail.com>

* TST Speed-up test suite when using pytest-xdist (scikit-learn#25918)

* DOC update license year to 2023 (scikit-learn#25936)

* FIX Remove spurious feature names warning in IsolationForest (scikit-learn#25931)

* TST fix unstable test_newrand_set_seed (scikit-learn#25940)

Co-authored-by: Jérémie du Boisberranger <34657725+jeremiedbb@users.noreply.github.com>

* MAINT Clean-up deprecated max_features="auto" in trees/forests/gb (scikit-learn#25941)

* MAINT LogisticRegression informative error msg when penaly=elasticnet and l1_ratio is None (scikit-learn#25925)

Co-authored-by: jeremiedbb <jeremiedbb@yahoo.fr>

* MAINT Clean-up remaining SGDClassifier(loss="log") (scikit-learn#25938)

* FIX Fixes pandas extension arrays in check_array (scikit-learn#25813)

* FIX Fixes pandas extension arrays with objects in check_array (scikit-learn#25814)

* CI Disable pytest-xdist in pylatest_pip_openblas_pandas build (scikit-learn#25943)

* MAINT remove deprecated call to resources.content (scikit-learn#25951)

* DOC note on calibration impact on ranking (scikit-learn#25900)

* Remove loguniform fix, use scipy.stats instead (scikit-learn#24665)

Co-authored-by: Olivier Grisel <olivier.grisel@ensta.org>

* MAINT Fix broken links in cluster.dbscan module (scikit-learn#25958)

* DOC Fix lars Xy shape (scikit-learn#25952)

* ENH Add drop_intermediate parameter to metrics.precision_recall_curve (scikit-learn#24668)

Co-authored-by: Guillaume Lemaitre <g.lemaitre58@gmail.com>

* FIX improve error message when computing NDCG with a single document (scikit-learn#25672)

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* MAINT introduce _get_response_values and _check_response_methods (scikit-learn#23073)

Co-authored-by: Thomas J. Fan <thomasjpfan@gmail.com>
Co-authored-by: Jérémie du Boisberranger <34657725+jeremiedbb@users.noreply.github.com>

* MAINT Extend message for large sparse matrices support (scikit-learn#25961)

Co-authored-by: Meekail Zain <34613774+Micky774@users.noreply.github.com>

* MAINT Parameters validation for datasets.make_gaussian_quantiles (scikit-learn#25959)

Co-authored-by: Jérémie du Boisberranger <34657725+jeremiedbb@users.noreply.github.com>

* MAINT Parameters validation for sklearn.metrics.d2_tweedie_score (scikit-learn#25975)

* MAINT Parameters validation for datasets.make_hastie_10_2 (scikit-learn#25967)

* MAINT Parameters validation for preprocessing.minmax_scale (scikit-learn#25962)

Co-authored-by: Jérémie du Boisberranger <34657725+jeremiedbb@users.noreply.github.com>

* MAINT Parameters validation for datasets.make_checkerboard (scikit-learn#25955)

* MAINT Parameters validation for datasets.make_biclusters (scikit-learn#25945)

* MAINT Parameters validation for datasets.make_moons (scikit-learn#25971)

* DOC replace deviance by loss in docstring of GradientBoosting (scikit-learn#25968)

* MAINT Fix broken link in feature_selection/_univariate_selection.py (scikit-learn#25984)

* DOC Update model_persistence.rst to fix skops example (scikit-learn#25993)

Co-authored-by: adrinjalali <adrin.jalali@gmail.com>

* DOC Specified meaning for max_patches=None in extract_patches_2d  (scikit-learn#25996)

* DOC document that last step is never cached in pipeline (scikit-learn#25995)

Co-authored-by: Guillaume Lemaitre <g.lemaitre58@gmail.com>

* FIX SequentialFeatureSelector throws IndexError when cv is a generator (scikit-learn#25973)

* ENH Adds infrequent categories support to OrdinalEncoder (scikit-learn#25677)

Co-authored-by: Tim Head <betatim@gmail.com>
Co-authored-by: Olivier Grisel <olivier.grisel@ensta.org>
Co-authored-by: Andreas Mueller <t3kcit@gmail.com>

* MAINT make plot_digits_denoising deterministic by fixing random state (scikit-learn#26004)

* DOC improve example of PatchExtractor (scikit-learn#26002)

* MAINT Parameters validation for datasets.make_friedman2 (scikit-learn#25986)

* MAINT Parameters validation for datasets.make_friedman3 (scikit-learn#25989)

* MAINT Parameters validation for datasets.make_sparse_uncorrelated (scikit-learn#26001)

* MAINT Parameters validation for datasets.make_spd_matrix (scikit-learn#26003)

* MAINT Parameters validation for datasets.make_sparse_spd_matrix (scikit-learn#26009)

* DOC Added the meanings of default=None for PatchExtractor parameters (scikit-learn#26005)

* MAINT remove unecessary check covered by parameter validation framework (scikit-learn#26014)

* MAINT Consistent cython types from _typedefs (scikit-learn#25942)

Co-authored-by: Julien Jerphanion <git@jjerphan.xyz>

* MAINT Parameters validation for datasets.make_swiss_roll (scikit-learn#26020)

* MAINT Parameters validation for datasets.make_s_curve (scikit-learn#26022)

* MAINT Parameters validation for datasets.make_blobs (scikit-learn#25983)

Co-authored-by: Guillaume Lemaitre <g.lemaitre58@gmail.com>

* DOC fix SplineTransformer include_bias docstring (scikit-learn#26018)

* ENH RocCurveDisplay add option to plot chance level (scikit-learn#25987)

* DOC show from_estimator and from_predictions for Displays (scikit-learn#25994)

* EXA Fix rst in plot_partial_dependence (scikit-learn#26028)

* CI Adds coverage to docker jobs on Azure (scikit-learn#26027)

Co-authored-by: Julien Jerphanion <git@jjerphan.xyz>
Co-authored-by: Olivier Grisel <olivier.grisel@ensta.org>

* API Replace `n_iter` in `Bayesian Ridge` and `ARDRegression` (scikit-learn#25697)

Co-authored-by: Guillaume Lemaitre <g.lemaitre58@gmail.com>

* CLN Make _NumPyAPIWrapper naming consistent to _ArrayAPIWrapper (scikit-learn#26039)

* CI disable coverage on Windows to keep CI times reasonable (scikit-learn#26052)

* DOC Use Scientific Python Plausible instance for analytics (scikit-learn#25547)

* MAINT Parameters validation for sklearn.preprocessing.scale (scikit-learn#26036)

* MAINT Parameters validation for sklearn.metrics.pairwise.haversine_distances (scikit-learn#26047)

* MAINT Parameters validation for sklearn.metrics.pairwise.laplacian_kernel (scikit-learn#26048)

* MAINT Parameters validation for sklearn.metrics.pairwise.linear_kernel (scikit-learn#26049)

* MAINT Parameters validation for sklearn.metrics.silhouette_samples (scikit-learn#26053)

* MAINT Parameters validation for sklearn.preprocessing.add_dummy_feature (scikit-learn#26058)

* Added Parameter Validation for metrics.cluster.normalized_mutual_info_score() (scikit-learn#26060)

* DOC Typos in HistGradientBoosting documentation (scikit-learn#26057)

* TST add global_random_seed fixture to sklearn/datasets/tests/test_rcv1.py (scikit-learn#26043)

* MAINT Parameters validation for sklearn.metrics.pairwise.cosine_similarity (scikit-learn#26006)

Co-authored-by: Jérémie du Boisberranger <34657725+jeremiedbb@users.noreply.github.com>

* ENH Adds isdtype to Array API wrapper (scikit-learn#26029)

* MAINT Parameters validation for sklearn.metrics.silhouette_score (scikit-learn#26054)

Co-authored-by: Jérémie du Boisberranger <34657725+jeremiedbb@users.noreply.github.com>

* FIX fix spelling mistake in _NumPyAPIWrapper (scikit-learn#26064)

* CI ignore more non-library Python files in codecov (scikit-learn#26059)

* MAINT Parameters validation for sklearn.metrics.pairwise.cosine_distances (scikit-learn#26046)

Co-authored-by: Jérémie du Boisberranger <34657725+jeremiedbb@users.noreply.github.com>

* MAINT Introduce BinaryClassifierCurveDisplayMixin (scikit-learn#25969)

Co-authored-by: Jérémie du Boisberranger <34657725+jeremiedbb@users.noreply.github.com>

* ENH Forces shape to be tuple when using Array API's reshape (scikit-learn#26030)

Co-authored-by: Olivier Grisel <olivier.grisel@ensta.org>
Co-authored-by: Tim Head <betatim@gmail.com>

* MAINT Parameters validation for sklearn.metrics.pairwise.paired_euclidean_distances (scikit-learn#26073)

* MAINT Parameters validation for sklearn.metrics.pairwise.paired_manhattan_distances (scikit-learn#26074)

* MAINT Parameters validation for sklearn.metrics.pairwise.paired_cosine_distances (scikit-learn#26075)

* MAINT Parameters validation for sklearn.preprocessing.binarize (scikit-learn#26076)

* MAINT Parameters validation for metrics.explained_variance_score (scikit-learn#26079)

* DOC use correct template name for displays (scikit-learn#26081)

* MAINT Parameters validation for sklearn.preprocessing.maxabs_scale (scikit-learn#26077)

Co-authored-by: Jérémie du Boisberranger <34657725+jeremiedbb@users.noreply.github.com>

* MAINT Parameters validation for sklearn.preprocessing.label_binarize (scikit-learn#26078)

Co-authored-by: Jérémie du Boisberranger <34657725+jeremiedbb@users.noreply.github.com>

* MAINT parameter validation for d2_absolute_error_score (scikit-learn#26066)

Co-authored-by: jeremiedbb <jeremiedbb@yahoo.fr>

* MAINT Parameter validation for roc_auc_score (scikit-learn#26007)

Co-authored-by: jeremiedbb <jeremiedbb@yahoo.fr>

* MAINT Parameters validation for sklearn.preprocessing.normalize (scikit-learn#26069)

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* MAINT Parameter validation for metrics.cluster.fowlkes_mallows_score (scikit-learn#26080)

Co-authored-by: jeremiedbb <jeremiedbb@yahoo.fr>

* MAINT Parameters validation for compose.make_column_transformer (scikit-learn#25897)

Co-authored-by: jeremiedbb <jeremiedbb@yahoo.fr>

* MAINT Parameters validation for sklearn.metrics.pairwise.polynomial_kernel (scikit-learn#26070)

Co-authored-by: Jérémie du Boisberranger <34657725+jeremiedbb@users.noreply.github.com>

* MAINT Parameters validation for sklearn.metrics.pairwise.rbf_kernel (scikit-learn#26071)

Co-authored-by: Jérémie du Boisberranger <34657725+jeremiedbb@users.noreply.github.com>

* MAINT Parameters validation for sklearn.metrics.pairwise.sigmoid_kernel (scikit-learn#26072)

Co-authored-by: Jérémie du Boisberranger <34657725+jeremiedbb@users.noreply.github.com>

* MAINT Param validation: constraint for numeric missing values (scikit-learn#26085)

* FIX Adds support for negative values in categorical features in gradient boosting (scikit-learn#25629)

Co-authored-by: Julien Jerphanion <git@jjerphan.xyz>
Co-authored-by: Tim Head <betatim@gmail.com>

* MAINT Fix C warning in Cython module splitting.pyx (scikit-learn#26051)

* MNT Updates _isotonic.pyx to use memoryviews instead of `cnp.ndarray` (scikit-learn#26068)

* FIX Fixes memory regression for inspecting extension arrays (scikit-learn#26106)

* PERF set openmp to use only physical cores by default (scikit-learn#26082)

* MNT Update black to 23.3.0 (scikit-learn#26110)

* MNT Adds black commit to git-blame-ignore-revs (scikit-learn#26111)

* MAINT Parameters validation for sklearn.metrics.pair_confusion_matrix (scikit-learn#26107)

* MAINT Parameters validation for sklearn.metrics.mean_poisson_deviance (scikit-learn#26104)

* DOC Use notebook style in plot_lof_outlier_detection.py (scikit-learn#26017)

Co-authored-by: Jérémie du Boisberranger <34657725+jeremiedbb@users.noreply.github.com>
Co-authored-by: Guillaume Lemaitre <g.lemaitre58@gmail.com>

* MAINT utils._fast_dict uses types from utils._typedefs (scikit-learn#26025)

* DOC remove sparse-matrix for `y` in ElasticNet (scikit-learn#26127)

* ENH add exponential loss (scikit-learn#25965)

* MAINT Parameters validation for sklearn.preprocessing.robust_scale (scikit-learn#26086)

* MAINT Parameters validation for sklearn.datasets.fetch_rcv1 (scikit-learn#26126)

* MAINT Parameters validation for sklearn.metrics.adjusted_rand_score (scikit-learn#26134)

Co-authored-by: Jérémie du Boisberranger <34657725+jeremiedbb@users.noreply.github.com>

* MAINT Parameters validation for sklearn.metrics.calinski_harabasz_score  (scikit-learn#26135)

* MAINT Parameters validation for sklearn.metrics.davies_bouldin_score  (scikit-learn#26136)

* MAINT: remove `from numpy.math cimport` statements (scikit-learn#26143)

* MAINT Parameters validation for sklearn.inspection.permutation_importance (scikit-learn#26145)

Co-authored-by: Jérémie du Boisberranger <34657725+jeremiedbb@users.noreply.github.com>

* MAINT Parameters validation for sklearn.metrics.cluster.homogeneity_completeness_v_measure (scikit-learn#26137)

Co-authored-by: Jérémie du Boisberranger <34657725+jeremiedbb@users.noreply.github.com>

* MAINT Parameters validation for sklearn.metrics.rand_score (scikit-learn#26138)

Co-authored-by: Jérémie du Boisberranger <34657725+jeremiedbb@users.noreply.github.com>

* DOC update comment in metrics/tests/test_classification.py (scikit-learn#26150)

* CI small cleanup of Cirrus CI test script (scikit-learn#26168)

* MAINT remove deprecated is_categorical_dtype (scikit-learn#26156)

* DOC Add skforecast to related projects page (scikit-learn#26133)

Co-authored-by: Thomas J. Fan <thomasjpfan@gmail.com>

* FIX Keeps namedtuple's class when transform returns a tuple (scikit-learn#26121)

* DOC corrected letter case for better readability in sklearn/metrics/_classification.py / (scikit-learn#26169)

* MAINT Parameters validation for sklearn.preprocessing.power_transform (scikit-learn#26142)

* FIX `roc_auc_score` now uses `y_prob` instead of `y_pred` (scikit-learn#26155)

* MAINT Parameters validation for sklearn.datasets.load_iris (scikit-learn#26177)

* MAINT Parameters validation for sklearn.datasets.load_diabetes (scikit-learn#26166)

Co-authored-by: Jérémie du Boisberranger <34657725+jeremiedbb@users.noreply.github.com>

* MAINT Parameters validation for sklearn.datasets.load_breast_cancer (scikit-learn#26165)

Co-authored-by: Jérémie du Boisberranger <34657725+jeremiedbb@users.noreply.github.com>

* MAINT Parameters validation for sklearn.metrics.cluster.entropy (scikit-learn#26162)

* MAINT Parameters validation for sklearn.datasets.fetch_species_distributions (scikit-learn#26161)

Co-authored-by: Jérémie du Boisberranger <34657725+jeremiedbb@users.noreply.github.com>

* ASV Fix tol in SGDRegressorBenchmark (scikit-learn#26146)

Co-authored-by: jeremie du boisberranger <jeremiedbb@yahoo.fr>

* MNT use api.openml.org URLs for fetch_openml (scikit-learn#26171)

* MAINT Parameters validation for sklearn.utils.resample (scikit-learn#26139)

* MAINT make it explicit that additive_chi2_kernel does not accept sparse matrix (scikit-learn#26178)

* MNT fix circleci link in README.rst (scikit-learn#26183)

* CI Fix circleci artifact redirector action (scikit-learn#26181)

* GOV introduce rights for groups as discussed in SLEP019 (scikit-learn#25753)

Co-authored-by: Julien <git@jjerphan.xyz>
Co-authored-by: Thomas J. Fan <thomasjpfan@gmail.com>

* MAINT Parameters validation for sklearn.neighbors.sort_graph_by_row_values (scikit-learn#26173)

Co-authored-by: Jérémie du Boisberranger <34657725+jeremiedbb@users.noreply.github.com>

* FIX improve convergence criterion for LogisticRegression(penalty="l1", solver='liblinear') (scikit-learn#25214)

Co-authored-by: Thomas J. Fan <thomasjpfan@gmail.com>
Co-authored-by: Olivier Grisel <olivier.grisel@ensta.org>

* MAINT Fix several typos in src and doc files (scikit-learn#26187)

* PERF fix overhead of _rescale_data in LinearRegression (scikit-learn#26207)

* ENH add Huber loss (scikit-learn#25966)

* MAINT Refactor GraphicalLasso and graphical_lasso (scikit-learn#26033)

Co-authored-by: Guillaume Lemaitre <g.lemaitre58@gmail.com>
Co-authored-by: Jérémie du Boisberranger <34657725+jeremiedbb@users.noreply.github.com>

* MAINT Cython linting (scikit-learn#25861)

* DOC Add JupyterLite button in example gallery (scikit-learn#25887)

* MAINT Parameters validation for sklearn.covariance.ledoit_wolf_shrinkage (scikit-learn#26200)

* MAINT Parameters validation for sklearn.datasets.load_linnerud (scikit-learn#26199)

* MAINT Parameters validation for sklearn.datasets.load_wine (scikit-learn#26196)

* DOC Added redirect to Provost paper + minor refactor (scikit-learn#26223)

* MAINT Parameter Validation for `covariance.graphical_lasso` (scikit-learn#25053)

Co-authored-by: Guillaume Lemaitre <g.lemaitre58@gmail.com>
Co-authored-by: Jérémie du Boisberranger <34657725+jeremiedbb@users.noreply.github.com>

* MAINT Parameters validation for sklearn.datasets.load_digits (scikit-learn#26195)

Co-authored-by: Jérémie du Boisberranger <34657725+jeremiedbb@users.noreply.github.com>

* MAINT Parameters validation for sklearn.preprocessing.quantile_transform (scikit-learn#26144)

Co-authored-by: Jérémie du Boisberranger <34657725+jeremiedbb@users.noreply.github.com>

* MAINT Parameters validation for sklearn.model_selection.cross_validate (scikit-learn#26129)

Co-authored-by: jeremiedbb <jeremiedbb@yahoo.fr>

* DOC Adds TargetEncoder example explaining the internal CV (scikit-learn#26185)

Co-authored-by: Tim Head <betatim@gmail.com>

* spelling mistake corrected in documentation for script `plot_document_clustering.py` (scikit-learn#26228)

Co-authored-by: Olivier Grisel <olivier.grisel@ensta.org>

* FIX possible UnboundLocalError in fetch_openml (scikit-learn#26236)

* ENH Adds PyTorch support to LinearDiscriminantAnalysis (scikit-learn#25956)

Co-authored-by: Olivier Grisel <olivier.grisel@ensta.org>
Co-authored-by: Tim Head <betatim@gmail.com>

* MNT Use fixed version of Pyodide (scikit-learn#26247)

* MNT Reset transform_output default in example to fix doc build build (scikit-learn#26269)

* DOC Update example plot_nearest_centroid.py (scikit-learn#26263)

* MNT reduce JupyterLite build size (scikit-learn#26246)

* DOC term -> meth in GradientBoosting (scikit-learn#26225)

* MNT speed-up html-noplot build (scikit-learn#26245)

Co-authored-by: Thomas J. Fan <thomasjpfan@gmail.com>

* MNT Use copy=False when creating DataFrames (scikit-learn#26272)

* MAINT Parameters validation for sklearn.model_selection.permutation_test_score (scikit-learn#26230)

* MAINT Parameters validation for sklearn.datasets.clear_data_home (scikit-learn#26259)

Co-authored-by: Jérémie du Boisberranger <34657725+jeremiedbb@users.noreply.github.com>

* MAINT Parameters validation for sklearn.datasets.load_files (scikit-learn#26203)

Co-authored-by: Jérémie du Boisberranger <34657725+jeremiedbb@users.noreply.github.com>

* MAINT Parameters validation for sklearn.datasets.get_data_home (scikit-learn#26260)

Co-authored-by: Jérémie du Boisberranger <34657725+jeremiedbb@users.noreply.github.com>

* DOC Fix y-axis plot labels in permutation test score example (scikit-learn#26240)

* MAINT cython-lint ignores asv_benchmarks (scikit-learn#26282)

* MAINT Parameter validation for metrics.cluster._supervised (scikit-learn#26258)

Co-authored-by: Jérémie du Boisberranger <34657725+jeremiedbb@users.noreply.github.com>

* DOC Improve docstring for tol in SequentialFeatureSelector (scikit-learn#26271)

* MAINT Parameters validation for  sklearn.datasets.load_sample_image (scikit-learn#26226)

Co-authored-by: Jérémie du Boisberranger <34657725+jeremiedbb@users.noreply.github.com>

* DOC Consistent param type for pos_label (scikit-learn#26237)

* DOC Minor grammar fix to imputation docs (scikit-learn#26283)

* MAINT Parameters validation for sklearn.calibration.calibration_curve (scikit-learn#26198)

Co-authored-by: jeremie du boisberranger <jeremiedbb@yahoo.fr>

* MAINT Parameters validation for sklearn.inspection.partial_dependence (scikit-learn#26209)

Co-authored-by: jeremie du boisberranger <jeremiedbb@yahoo.fr>

* MAINT Parameters validation for sklearn.model_selection.validation_curve (scikit-learn#26229)

Co-authored-by: Jérémie du Boisberranger <34657725+jeremiedbb@users.noreply.github.com>

* MAINT Parameters validation for sklearn.model_selection.learning_curve (scikit-learn#26227)

Co-authored-by: jeremie du boisberranger <jeremiedbb@yahoo.fr>

* MNT Remove deprecated pandas.api.types.is_sparse (scikit-learn#26287)

* CI Use Trusted Publishers for uploading wheels to PyPI (scikit-learn#26249)

* MAINT Parameters validation for sklearn.metrics.pairwise.manhattan_distances (scikit-learn#26122)

* PERF revert openmp use in csr_row_norms (scikit-learn#26275)

* MAINT Parameters validation for metrics.check_scoring (scikit-learn#26041)

Co-authored-by: Jérémie du Boisberranger <34657725+jeremiedbb@users.noreply.github.com>

* MNT Improve error message when checking classification target is of a non-regression type (scikit-learn#26281)

Co-authored-by: Adrin Jalali <adrin.jalali@gmail.com>
Co-authored-by: Thomas J. Fan <thomasjpfan@gmail.com>

* DOC fix link to User Guide encoder_infrequent_categories (scikit-learn#26309)

* MNT remove unused args in _predict_regression_tree_inplace_fast_dense (scikit-learn#26314)

* ENH Adds missing value support for trees (scikit-learn#23595)

Co-authored-by: Tim Head <betatim@gmail.com>
Co-authored-by: Julien Jerphanion <git@jjerphan.xyz>

* CLN Clean up logic in validate_data and cast_to_ndarray (scikit-learn#26300)

* MAINT refactor scorer using _get_response_values (scikit-learn#26037)

Co-authored-by: Jérémie du Boisberranger <34657725+jeremiedbb@users.noreply.github.com>
Co-authored-by: Adrin Jalali <adrin.jalali@gmail.com>

* DOC Add HGBDT to "see also" section of random forests (scikit-learn#26319)

Co-authored-by: ArturoAmorQ <arturo.amor-quiroz@polytechnique.edu>
Co-authored-by: Tim Head <betatim@gmail.com>

* MNT Bump Github Action labeler version to use newer Node (scikit-learn#26302)

* FIX thresholds should not exceed 1.0 with probabilities in `roc_curve`  (scikit-learn#26194)

Co-authored-by: Olivier Grisel <olivier.grisel@ensta.org>

* ENH Allow for appropriate dtype us in `preprocessing.PolynomialFeatures` for sparse matrices (scikit-learn#23731)

Co-authored-by: Aleksandr Kokhaniukov <alexander.kohanyukov@gmail.com>
Co-authored-by: Olivier Grisel <olivier.grisel@ensta.org>
Co-authored-by: Julien Jerphanion <git@jjerphan.xyz>
Co-authored-by: Thomas J. Fan <thomasjpfan@gmail.com>

* DOC Fix minor typo (scikit-learn#26327)

* MAINT bump minimum version for pytest (scikit-learn#26184)

Co-authored-by: Loïc Estève <loic.esteve@ymail.com>
Co-authored-by: Adrin Jalali <adrin.jalali@gmail.com>
Co-authored-by: Olivier Grisel <olivier.grisel@ensta.org>

* DOC fix return type in isotonic_regression (scikit-learn#26332)

* FIX fix available_if for MultiOutputRegressor.partial_fit (scikit-learn#26333)

Co-authored-by: Guillaume Lemaitre <g.lemaitre58@gmail.com>

* FIX make pipeline pass check_estimator (scikit-learn#26325)

* FEA Add multiclass support to `average_precision_score` (scikit-learn#24769)

Co-authored-by: Geoffrey <geoffrey.bolmier@gmail.com>
Co-authored-by: gbolmier <geoffrey.bolmier@volvocars.com>
Co-authored-by: Guillaume Lemaitre <g.lemaitre58@gmail.com>
Co-authored-by: Thomas J. Fan <thomasjpfan@gmail.com>

---------

Signed-off-by: Julien Jerphanion <git@jjerphan.xyz>
Co-authored-by: Jérémie du Boisberranger <34657725+jeremiedbb@users.noreply.github.com>
Co-authored-by: Meekail Zain <34613774+Micky774@users.noreply.github.com>
Co-authored-by: Julien Jerphanion <git@jjerphan.xyz>
Co-authored-by: Olivier Grisel <olivier.grisel@ensta.org>
Co-authored-by: zeeshan lone <56621467+still-learning-ev@users.noreply.github.com>
Co-authored-by: jeremiedbb <jeremiedbb@yahoo.fr>
Co-authored-by: Adrin Jalali <adrin.jalali@gmail.com>
Co-authored-by: Shiva chauhan <103742975+Shivachauhan17@users.noreply.github.com>
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Co-authored-by: Maren Westermann <maren.westermann@gmail.com>
Co-authored-by: Nishu Choudhary <51842539+choudharynishu@users.noreply.github.com>
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Co-authored-by: Benedek Harsanyi <80836204+hbenedek@users.noreply.github.com>
Co-authored-by: Pooja Subramaniam <poojas2086@gmail.com>
Co-authored-by: Rushil Desai <rushildesai01@gmail.com>
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Co-authored-by: Geoffrey <geoffrey.bolmier@gmail.com>
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