Scikit-learn

We're happy to announce the 1.3.1 release.

You can see the changelog here: https://scikit-learn.org/stable/whats_new/v1.3.html#version-1-3-1

This version supports Python versions 3.8 to 3.12.

You can upgrade with pip as usual:


pip install -U scikit-learn


The conda-forge builds can be installed using:


conda install -c conda-forge scikit-learn

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-learn


The conda-forge builds can be installed using:


conda install -c conda-forge scikit-learn

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-learn


The conda-forge builds will be available shortly, which you can then install using:


conda install -c conda-forge scikit-learn

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-learn


The conda-forge builds will be available shortly, which you can then install using:


conda install -c conda-forge scikit-learn

We're happy to announce the 1.2.0 release.

You can read the release highlights under https://scikit-learn.org/stable/auto_examples/release_highlights/plot_release_highlights_1_2_0.html and the long version of the change log under https://scikit-learn.org/stable/whats_new/v1.2.html

This version supports Python versions 3.8 to 3.11.

We're happy to announce the 1.1.3 release.

This bugfix release only includes fixes for compatibility with the latest SciPy release >= 1.9.2 and wheels for Python 3.11. Note that support for 32-bit Python on Windows has been dropped in this release. This is due to the fact that SciPy 1.9.2 also dropped the support for that platform. Windows users are advised to install the 64-bit version of Python instead.

You can see the changelog here: https://scikit-learn.org/dev/whats_new/v1.1.html#version-1-1-3

You can upgrade with pip as usual:


pip install -U scikit-learn


The conda-forge builds will be available shortly, which you can then install using:


conda install -c conda-forge scikit-learn