Bump scikit-learn from 0.24.1 to 1.3.0
Bumps scikit-learn from 0.24.1 to 1.3.0.
Release notes
Sourced from scikit-learn's releases.
Scikit-learn 1.3.0
We're happy to announce the 1.3.0 release.
You can read the release highlights under https://scikit-learn.org/stable/auto_examples/release_highlights/plot_release_highlights_1_3_0.html and the long version of the change log under https://scikit-learn.org/stable/whats_new/v1.3.html
This version supports Python versions 3.8 to 3.11.
You can upgrade with pip as usual:
pip install -U scikit-learnThe conda-forge builds can be installed using:
conda install -c conda-forge scikit-learnScikit-learn 1.2.2
We're happy to announce the 1.2.2 release.
You can see the changelog here: https://scikit-learn.org/stable/whats_new/v1.2.html#version-1-2-2
You can upgrade with pip as usual:
pip install -U scikit-learnThe conda-forge builds will be available shortly, which you can then install using:
conda install -c conda-forge scikit-learnscikit-learn 1.2.1
We're happy to announce the 1.2.1 release.
You can see the changelog here: https://scikit-learn.org/stable/whats_new/v1.2.html#version-1-2-1
You can upgrade with pip as usual:
pip install -U scikit-learnThe conda-forge builds will be available shortly, which you can then install using:
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Commits
7f9bad9update version [cd build]300fd9fDOC Release highlights for 1.3 (#26526)b303b9eMAINT Update what's new for 1.3.0 final release (#26730)4044d15DOC addpip install sphinx_copybuttonto contribution guide (#26722)ce3c609DOC small documentation changes in the advanced installation guide (#26394)1691f44MAINT make sphinx conf more lenient towards missing jupyterlite (#26705)4250f80FIX Using custom init for KMeans does a single init (#26657)eb011fdFix AttributeError use_fallback_lbfgs_solve for newton-cholesky when fitting ...ee89eb8DOC add meaning ofmax_patches=Nonein _compute_n_patches (#25999)cf98b65DOC Update removed sphinx global varstyleinlayout.html(#26627)- Additional commits viewable in compare view
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