π We're happy to announce the 0.23.2 release with several bugfixes:
π You can see the changelog here: https://scikit-learn.org/stable/whats_new/v0.23.html#version-0-23-2
β¬οΈ You can upgrade with pip as usual:
pip install -U scikit-learn
π The conda-forge builds will be available shortly, which you can then install using:
conda install -c conda-forge scikit-learn
π We're happy to announce the 0.23.1 release which fixes a few issues affecting many users, namely: K-Means should be faster for small sample sizes, and the representation of third-party estimators was fixed.
You can check this version out using:
pip install -U scikit-learn
π You can see the changelog here: https://scikit-learn.org/stable/whats_new/v0.23.html#version-0-23-1
π The conda-forge builds will be available shortly, which you can then install using:
conda install -c conda-forge scikit-learn
π We're happy to announce the 0.22.2.post1 bugfix release.
π The 0.22.2.post1 release includes a packaging fix for the source distribution
π¦ but the content of the packages is otherwise identical to the content of the
wheels with the 0.22.2 version (without the .post1 suffix).
π Change log under https://scikit-learn.org/stable/whats_new/v0.22.html#changes-0-22-2.
π This version supports Python versions 3.5 to 3.8.
π We're happy to announce the 0.22.1 bugfix release.
π Change log under https://scikit-learn.org/stable/whats_new/v0.22.html#changes-0-22-1.
π This version supports Python versions 3.5 to 3.8.
π We're happy to announce the 0.22 release. You can read
π the release highlights under https://scikit-learn.org/stable/auto_examples/release_highlights/plot_release_highlights_0_22_0.html
π and the long version of the change log under https://scikit-learn.org/stable/whats_new/v0.22.html#changes-0-22.
π This version supports Python versions 3.5 to 3.8.