Update dependency scikit-learn to v1.7.1

[renovate]

This PR contains the following updates:

Package	Change	Age	Confidence
scikit-learn (changelog)	==1.4.1.post1 -> ==1.7.1

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Release Notes

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

v1.7.1: Scikit-learn 1.7.1

Compare Source

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 !

v1.5.0: Scikit-learn 1.5.0

Compare Source

We're happy to announce the 1.5.0 release.

You can read the release highlights under https://scikit-learn.org/stable/auto\_examples/release\_highlights/plot\_release\_highlights\_1\_5\_0.html and the long version of the change log under https://scikit-learn.org/stable/whats\_new/v1.5.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

v1.4.2: Scikit-learn 1.4.2

Compare Source

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

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