Release 1.5.0 #29054
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Release 1.5.0 #29054
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…kit-learn#28938) Co-authored-by: Omar Salman <omar.salman@arbisoft>
…ram_matrix_with_weighted_samples.py (scikit-learn#28895) Co-authored-by: bivav <bivavraj@gmail.com>
Co-authored-by: Arturo Amor <86408019+ArturoAmorQ@users.noreply.github.com>
Co-authored-by: Conrad <cste8212@acfr.usyd.edu.au>
Co-authored-by: Jérémie du Boisberranger <jeremie@probabl.ai> Co-authored-by: Christian Lorentzen <lorentzen.ch@gmail.com>
…29004) Co-authored-by: Jérémie du Boisberranger <jeremie@probabl.ai>
scikit-learn#29008) Co-authored-by: Tim Head <betatim@gmail.com>
…it-learn#29011) Co-authored-by: Adrin Jalali <adrin.jalali@gmail.com>
Co-authored-by: Guillaume Lemaitre <guillaume@probabl.ai>
…co2.py (scikit-learn#28804) Co-authored-by: raisa <> Co-authored-by: Adrin Jalali <adrin.jalali@gmail.com>
Co-authored-by: Olivier Grisel <olivier.grisel@ensta.org> Co-authored-by: Jérémie du Boisberranger <jeremie@probabl.ai>
Co-authored-by: Johann <jpienaar85@gmail.com>
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The codecov failure can be ignored: it's about a fix for an issue that only happens with scipy dev but we don't test scipy dev here. |
Co-authored-by: Tim Head <betatim@gmail.com> Co-authored-by: Guillaume Lemaitre <guillaume@probabl.ai> Co-authored-by: Christian Lorentzen <lorentzen.ch@gmail.com>
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xref #29038 (comment) so it doesn't get missed. What do people think? |
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[cd build]commit message to upload wheels to the staging repohttps://github.com/conda-forge/scikit-learn-feedstock and wait for merge
https://github.com/scikit-learn/scikit-learn.github.io (only major/minor)
picks and drops:
pick 17a7575 🔒 🤖 CI Update lock files for cirrus-arm CI build(s) 🔒 🤖 (#28954)
pick ac09b7b 🔒 🤖 CI Update lock files for scipy-dev CI build(s) 🔒 🤖 (#28955)
pick 3915d1d 🔒 🤖 CI Update lock files for main CI build(s) 🔒 🤖 (#28957)
pick ff3ad59 DOC move d2_log_loss_score in the classification metrics section (#28938)
pick a5203e8 DOC update r2_score default in regression metrics tutorial (#28958)
pick febf190 DOC add links to examples/linear_model/plot_elastic_net_precomputed_gram_matrix_with_weighted_samples.py (#28895)
drop 00a8ae7 MAINT set version to 1.6.dev0 and add 1.6 changelog (#28962)
pick 438f093 TST Fix tolerance for seed-sensitive test
test_pca_solver_equivalence(#28961)pick f759818 DOC add Tidelift to sponsors (#28918)
pick ffe2c1b DOC Mention the renaming of check_estimator_sparse_data in 1.5 changelog (#28968)
pick fa37777 DOC Update release docs (#28965)
pick 1fa3c75 DOC updates for d2_log_loss_score (#28969)
drop e12f192 ENH Use Array API in mean_tweedie_deviance (#28106)
pick 1a54a11 Update supported python versions in docs (#28986)
pick 5e5cc34 DOC fix gp predic doc typo (#28987)
pick 2d51510 MAINT: specify C17 as C standard in meson.build (#28980)
pick 2d6e1be MNT remove author and license in GLM files (#28799)
drop 61281cf FEA metadata routing for
StackingClassifierandStackingRegressor(#28701)pick c3d4c51 DOC Update warm start example in ensemble user guide (#28998)
pick c807092 MAINT fix redirected link for
Matthews Correlation Coefficient(#28991)pick 45ca0a7 DOC Add links to digit denoising examples in docs and the user guide (#28929)
pick e2c3793 🔒 🤖 CI Update lock files for cirrus-arm CI build(s) 🔒 🤖 (#29003)
pick 0967ec4 🔒 🤖 CI Update lock files for main CI build(s) 🔒 🤖 (#29005)
pick bca3634 FIX 1d sparse array validation (#28988)
pick 4449ded 🔒 🤖 CI Update lock files for scipy-dev CI build(s) 🔒 🤖 (#29004)
pick 64884f9 CI Fix wheel builder windows (#29006)
pick 63f71ee DOC persistence page revamp (#28889)
pick 68b7598 DOC Mention that Meson is the main supported way to build scikit-learn (#29008)
pick 94ad8f3 DOC More improvements to the documentation on model persistence (#29011)
pick 3ca9fc1 DOC Add warm start section for tree ensembles (#29001)
pick 00db4df MNT Use c11 rather than c17 in meson.build to work-around Pyodide issue (#29015)
pick 28c9f50 DOC fix dollar sign to euro sign (#29020)
drop 9f44f1f ENH Add Array API compatibility to
mean_absolute_error(#27736)pick 025d4b0 TST check compatibility with metadata routing for ThresholdClassifier (#29021)
drop 5c28a8e ENH use Scipy isotonic_regression (#28897)
pick 25cb305 DOC add link to sklearn_example_ensemeble_plot_adboost_twoclass (#29023)
pick 945273d DOC Fix default value of n in check_cv (#29024)
drop acd2d90 ENH Array API support for LabelEncoder (#27381)
pick e825502 DOC replace pandas with Polars in examples/gaussian_process/plot_gpr_co2.py (#28804)
drop b461547 ENH Add Array API compatibility to
cosine_similarity(#29014)drop 77fc72c FEA SLEP006: Metadata routing for
learning_curve(#28975)pick 87ceec2 FIX add long long for int32/int64 windows compat in NumPy 2.0 (#29029)
pick e796d0a FIX convergence criterion of MeanShift (#28951)
drop 48669a5 Fix codecov in tests for array api in pairwise metrics (#29036)
pick d88b413 DOC Fix time complexity of MLP (#28592)
pick 18c1972 DOC remove obsolete SVM example (#27108)
TODO: