chore(deps): update dependency scikit-learn to v1.8.0

[renovate]

This PR contains the following updates:

Package	Change	Age	Confidence
scikit-learn (changelog)	1.5.0 → 1.8.0

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Release Notes

scikit-learn/scikit-learn (scikit-learn)

v1.8.0

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We're happy to announce the 1.8.0 release.

You can read the release highlights under https://scikit-learn.org/stable/auto_examples/release_highlights/plot_release_highlights_1_8_0.html and the long version of the change log under https://scikit-learn.org/stable/whats_new/v1.8.html

This version supports Python versions 3.11 to 3.14 and features support of free-threaded CPython.

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

v1.7.2: Scikit-learn 1.7.2

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We're happy to announce the 1.7.2 release.

This release contains a few bug fixes and is the first version supporting Python 3.14.

You can see the changelog here: https://scikit-learn.org/stable/whats_new/v1.7.html#version-1-7-2

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

Thanks to everyone who contributed to this release !

v1.7.1: Scikit-learn 1.7.1

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We're happy to announce the 1.7.1 release.

This release contains fixes for a few regressions introduced in 1.7.

You can see the changelog here: https://scikit-learn.org/stable/whats_new/v1.7.html#version-1-7-1

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

Thanks to everyone who contributed to this release !

v1.7.0: Scikit-learn 1.7.0

Compare Source

We're happy to announce the 1.7.0 release.

You can read the release highlights under https://scikit-learn.org/stable/auto_examples/release_highlights/plot_release_highlights_1_7_0.html and the long version of the change log under https://scikit-learn.org/stable/whats_new/v1.7.html

This version supports Python versions 3.10 to 3.13 and features an experimental support of free-threaded CPython.

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

v1.6.1: Scikit-learn 1.6.1

Compare Source

We're happy to announce the 1.6.1 release.

This release contains fixes for a few regressions introduced in 1.6.

You can see the changelog here: https://scikit-learn.org/stable/whats_new/v1.6.html#version-1-6-1

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

Thanks to everyone who contributed to this release !

v1.6.0: Scikit-learn 1.6.0

Compare Source

We're happy to announce the 1.6.0 release.

You can read the release highlights under https://scikit-learn.org/stable/auto_examples/release_highlights/plot_release_highlights_1_6_0.html and the long version of the change log under https://scikit-learn.org/stable/whats_new/v1.6.html

This version supports Python versions 3.9 to 3.13 and features an experimental support of free-threaded CPython.

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

v1.5.2: Scikit-learn 1.5.2

Compare Source

We're happy to announce the 1.5.2 release.

This release contains fixes for a few regressions introduced in 1.5.

You can see the changelog here: https://scikit-learn.org/stable/whats_new/v1.5.html#version-1-5-2

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

Thanks to everyone who contributed to this release !

v1.5.1: Scikit-learn 1.5.1

Compare Source

We're happy to announce the 1.5.1 release.

This release contains fixes for a few regressions introduced in 1.5.

You can see the changelog here: https://scikit-learn.org/stable/whats_new/v1.5.html#version-1-5-1

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

Thanks to everyone who contributed to this release !

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[codecov]

Codecov Report

✅ All modified and coverable lines are covered by tests.
✅ Project coverage is 51.14%. Comparing base (091c3aa) to head (afc6e21).

Additional details and impacted files

@@           Coverage Diff           @@
##             main      #68   +/-   ##
=======================================
  Coverage   51.14%   51.14%           
=======================================
  Files           6        6           
  Lines         614      614           
  Branches      112      112           
=======================================
  Hits          314      314           
  Misses        275      275           
  Partials       25       25           

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