GitHub repository: scikit-learn/scikit-learn
Description: scikit-learn: machine learning in Python
Topics: data-analysis, data-science, machine-learning, python, statistics

Scikit-learn 1.3.2: tag_name: 1.3.2
body: We're happy to announce the 1.3.2 release.

You can see the changelog here: https://scikit-learn.org/stable/whats_new/v1.3.html#version-1-3-2

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
```
Scikit-learn 1.3.1: tag_name: 1.3.1
body: 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
```
Scikit-learn 1.3.0: tag_name: 1.3.0
body: 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
```
Scikit-learn 1.2.2: tag_name: 1.2.2
body: 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
```
scikit-learn 1.2.1: tag_name: 1.2.1
body: 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
```
Scikit-learn 1.2.0: tag_name: 1.2.0
body: 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.
scikit-learn 1.1.3: tag_name: 1.1.3
body: 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
```
scikit-learn 1.1.2: tag_name: 1.1.2
body: We're happy to announce the 1.1.2 release with several bugfixes:

You can see the changelog here: https://scikit-learn.org/dev/whats_new/v1.1.html#version-1-1-2

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
```
scikit-learn 1.1.1: tag_name: 1.1.1
body: We're happy to announce the 1.1.1 release with several bugfixes:

You can see the changelog here: https://scikit-learn.org/dev/whats_new/v1.1.html#version-1-1-1

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
```
scikit-learn 1.1.0: tag_name: 1.1.0
body: We're happy to announce the 1.1.0 release.

You can read the release highlights under https://scikit-learn.org/stable/auto_examples/release_highlights/plot_release_highlights_1_1_0.html and the long version of the change log under https://scikit-learn.org/stable/whats_new/v1.1.html#changes-1-1

This version supports Python versions 3.8 to 3.10.
scikit-learn 1.0.2: tag_name: 1.0.2
body: We're happy to announce the 1.0.2 release with several bugfixes:

You can see the changelog here: https://scikit-learn.org/dev/whats_new/v1.0.html#version-1-0-2

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
```
scikit-learn 1.0.1: tag_name: 1.0.1
body: We're happy to announce the 1.0.1 release with several bugfixes:

You can see the changelog here: https://scikit-learn.org/dev/whats_new/v1.0.html#version-1-0-1

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
```
scikit-learn 1.0: tag_name: 1.0
body: We're happy to announce the 1.0 release. You can read the release highlights under https://scikit-learn.org/stable/auto_examples/release_highlights/plot_release_highlights_1_0_0.html and the long version of the change log under https://scikit-learn.org/stable/whats_new/v1.0.html#changes-1-0

This version supports Python versions 3.7 to 3.9.

scikit-learn 0.24.2: tag_name: 0.24.2
body: We're happy to announce the 0.24.2 release with several bugfixes:

You can see the changelog here: https://scikit-learn.org/stable/whats_new/v0.24.html#version-0-24-2

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

scikit-learn 0.24.1: tag_name: 0.24.1
body: We're happy to announce the 0.24.1 release with several bugfixes:

You can see the changelog here: https://scikit-learn.org/stable/whats_new/v0.24.html#version-0-24-1

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

scikit-learn 0.24.0: tag_name: 0.24.0
body: We're happy to announce the 0.24 release. You can read the release highlights under https://scikit-learn.org/stable/auto_examples/release_highlights/plot_release_highlights_0_24_0.html and the long version of the change log under https://scikit-learn.org/stable/whats_new/v0.24.html#version-0-24-0

This version supports Python versions 3.6 to 3.9.

scikit-learn 0.23.2: tag_name: 0.23.2
body: We're happy to announce the 0.23.2 release with several bugfixes:

You can see the changelog here: https://scikit-learn.org/stable/whats_new/v0.23.html#version-0-23-2

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

scikit-learn 0.23.1: tag_name: 0.23.1
body: 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

You can see the changelog here: https://scikit-learn.org/stable/whats_new/v0.23.html#version-0-23-1
The conda-forge builds will be available shortly, which you can then install using:

    conda install -c conda-forge scikit-learn
scikit-learn 0.23.0: tag_name: 0.23.0
body: We're happy to announce the 0.23 release. You can read
the release highlights under https://scikit-learn.org/stable/auto_examples/release_highlights/plot_release_highlights_0_23_0.html
and the long version of the change log under https://scikit-learn.org/stable/whats_new/v0.23.html#version-0-23-0

This version supports Python versions 3.6 to 3.8.
Scikit-learn 0.22.2.post1: tag_name: 0.22.2.post1
body: We're happy to announce the 0.22.2.post1 bugfix release. 

The 0.22.2.post1 release includes a packaging fix for the source distribution
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).

Change log under https://scikit-learn.org/stable/whats_new/v0.22.html#changes-0-22-2.

This version supports Python versions 3.5 to 3.8.

Scikit-learn 0.22.1: tag_name: 0.22.1
body: We're happy to announce the 0.22.1 bugfix release. 
Change log under https://scikit-learn.org/stable/whats_new/v0.22.html#changes-0-22-1.

This version supports Python versions 3.5 to 3.8.

Scikit-learn 0.22.0: tag_name: 0.22
body: We're happy to announce the 0.22 release. You can read
the release highlights under https://scikit-learn.org/stable/auto_examples/release_highlights/plot_release_highlights_0_22_0.html
and the long version of the change log under https://scikit-learn.org/stable/whats_new/v0.22.html#changes-0-22.

This version supports Python versions 3.5 to 3.8.
Scikit-learn 0.20.4: tag_name: 0.20.4
body: Builds on top of Scikit-learn 0.20.3 to fix regressions and other issues released in version 0.20. See change log at https://scikit-learn.org/0.20/whats_new/v0.20.html
Scikit-learn 0.21.3: tag_name: 0.21.3
body: A bug fix and documentation release, fixing regressions and other issues released in version 0.21. See change log at https://scikit-learn.org/0.21/whats_new/v0.21.html
Scikit-learn 0.21.2: tag_name: 0.21.2
body: This version fixes a few bugs released in 0.21.1.
Scikit-learn version 0.21.1: tag_name: 0.21.1
body: See changes at https://scikit-learn.org/0.21/whats_new/v0.21.html

Fixes some packaging issues in version 0.21.0 along with a few bugs.
Scikit-learn version 0.21.0: tag_name: 0.21.0
body: A new release of Scikit-learn with many new features, enhancements and bug fixes. See https://scikit-learn.org/0.21/whats_new/v0.21.html
Scikit-learn 0.20.3: tag_name: 0.20.3
body: A bug-fix release in the 0.20 series, supporting Python 2 and 3
Scikit-learn 0.20.2: tag_name: 0.20.2
body: Bug-fix release to the 0.20 branch, supporting Python 2 and 3
Scikit-learn 0.20.1: tag_name: 0.20.1
body: Released 21 November 2018.

See changelog at https://scikit-learn.org/0.20/whats_new.html#version-0-20-1
Scikit-learn 0.20.0: tag_name: 0.20.0
body: Released 25 September 2018

See changelog at https://scikit-learn.org/0.20/whats_new.html#version-0-20-0
Scikit-learn 0.19.2: tag_name: 0.19.2
body: Released in July 2018, exclusively in order to support Python 3.7 in the 0.19.X branch.
0.19.1: tag_name: 0.19.1
0.18.1 Bugfix release: tag_name: 0.18.1
0.18: tag_name: 0.18
0.17.1 release tag for DOI: tag_name: 0.17.1-1
body: This should be the same as 0.17.1, only re-created so zenodo mints a DOI