chore(deps): update dependency scikit-learn to v1.8.0#23
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This PR contains the following updates:
1.6.0→1.8.0Release Notes
scikit-learn/scikit-learn (scikit-learn)
v1.8.0Compare Source
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:
The conda-forge builds can be installed using:
v1.7.2: Scikit-learn 1.7.2Compare Source
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:
The conda-forge builds can be installed using:
Thanks to everyone who contributed to this release !
v1.7.1: Scikit-learn 1.7.1Compare 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:
The conda-forge builds can be installed using:
Thanks to everyone who contributed to this release !
v1.7.0: Scikit-learn 1.7.0Compare 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:
The conda-forge builds can be installed using:
v1.6.1: Scikit-learn 1.6.1Compare 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:
The conda-forge builds can be installed using:
Thanks to everyone who contributed to this release !
Configuration
📅 Schedule: Branch creation - At any time (no schedule defined), Automerge - At any time (no schedule defined).
🚦 Automerge: Disabled by config. Please merge this manually once you are satisfied.
♻ Rebasing: Whenever PR becomes conflicted, or you tick the rebase/retry checkbox.
🔕 Ignore: Close this PR and you won't be reminded about this update again.
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