This PR updates scikit-learn from 0.21.3 to 1.4.2.
Changelog
### 1.4.2
```
We're happy to announce the 1.4.2 release.
This release only includes support for numpy 2.
This version supports Python versions 3.9 to 3.12.
You can upgrade with pip as usual:
pip install -U scikit-learn
```
### 1.4.1.post1
```
We're happy to announce the 1.4.1.post1 release.
You can see the changelog here: https://scikit-learn.org/stable/whats_new/v1.4.html#version-1-4-1-post1
This version supports Python versions 3.9 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
```
### 1.4.1
```
We're happy to announce the 1.4.1 release.
You can see the changelog here: https://scikit-learn.org/stable/whats_new/v1.4.html#version-1-4-1
This version supports Python versions 3.9 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
```
### 1.4.01
```
We're happy to announce the 1.4.0 release.
You can read the release highlights under https://scikit-learn.org/stable/auto_examples/release_highlights/plot_release_highlights_1_4_0.html and the long version of the change log under https://scikit-learn.org/stable/whats_new/v1.4.html
This version supports Python versions 3.9 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
```
### 1.3.2
```
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
```
### 1.3.1
```
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
```
### 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-learn
The conda-forge builds can be installed using:
conda install -c conda-forge scikit-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-learn
The conda-forge builds will be available shortly, which you can then install using:
conda install -c conda-forge scikit-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-learn
The conda-forge builds will be available shortly, which you can then install using:
conda install -c conda-forge scikit-learn
```
### 1.2.0
```
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.
```
### 1.1.3
```
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
```
### 1.1.2
```
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
```
### 1.1.1
```
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
```
### 1.1.0
```
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.
```
### 1.0.2
```
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
```
### 1.0.1
```
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
```
### 1.0
```
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.
```
### 0.24.2
```
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
```
### 0.24.1
```
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
```
### 0.24.0
```
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.
```
### 0.23.2
```
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
```
### 0.23.1
```
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
```
### 0.23.0
```
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.
```
### 0.22.2.post1
```
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.
```
### 0.22.1
```
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.
```
### 0.22
```
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.
```
Links
- PyPI: https://pypi.org/project/scikit-learn
- Changelog: https://data.safetycli.com/changelogs/scikit-learn/
- Homepage: https://scikit-learn.org
pyup-bot
commented
5 months ago
This PR updates scikit-learn from 0.21.3 to 1.4.2.
Changelog
### 1.4.2 ``` We're happy to announce the 1.4.2 release. This release only includes support for numpy 2. This version supports Python versions 3.9 to 3.12. You can upgrade with pip as usual: pip install -U scikit-learn ``` ### 1.4.1.post1 ``` We're happy to announce the 1.4.1.post1 release. You can see the changelog here: https://scikit-learn.org/stable/whats_new/v1.4.html#version-1-4-1-post1 This version supports Python versions 3.9 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 ``` ### 1.4.1 ``` We're happy to announce the 1.4.1 release. You can see the changelog here: https://scikit-learn.org/stable/whats_new/v1.4.html#version-1-4-1 This version supports Python versions 3.9 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 ``` ### 1.4.01 ``` We're happy to announce the 1.4.0 release. You can read the release highlights under https://scikit-learn.org/stable/auto_examples/release_highlights/plot_release_highlights_1_4_0.html and the long version of the change log under https://scikit-learn.org/stable/whats_new/v1.4.html This version supports Python versions 3.9 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 ``` ### 1.3.2 ``` 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 ``` ### 1.3.1 ``` 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 ``` ### 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-learn The conda-forge builds can be installed using: conda install -c conda-forge scikit-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-learn The conda-forge builds will be available shortly, which you can then install using: conda install -c conda-forge scikit-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-learn The conda-forge builds will be available shortly, which you can then install using: conda install -c conda-forge scikit-learn ``` ### 1.2.0 ``` 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. ``` ### 1.1.3 ``` 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 ``` ### 1.1.2 ``` 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 ``` ### 1.1.1 ``` 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 ``` ### 1.1.0 ``` 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. ``` ### 1.0.2 ``` 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 ``` ### 1.0.1 ``` 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 ``` ### 1.0 ``` 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. ``` ### 0.24.2 ``` 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 ``` ### 0.24.1 ``` 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 ``` ### 0.24.0 ``` 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. ``` ### 0.23.2 ``` 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 ``` ### 0.23.1 ``` 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 ``` ### 0.23.0 ``` 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. ``` ### 0.22.2.post1 ``` 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. ``` ### 0.22.1 ``` 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. ``` ### 0.22 ``` 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. ```Links
- PyPI: https://pypi.org/project/scikit-learn - Changelog: https://data.safetycli.com/changelogs/scikit-learn/ - Homepage: https://scikit-learn.org