fix(deps): update dependency scikit-learn to v1.5.1 #13
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This PR contains the following updates:
1.2.2
->1.5.1
Release Notes
scikit-learn/scikit-learn (scikit-learn)
v1.5.1
Compare Source
v1.5.0
: Scikit-learn 1.5.0Compare 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:
The conda-forge builds can be installed using:
v1.4.2
: Scikit-learn 1.4.2Compare 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:
v1.4.0
Compare Source
v1.3.2
: Scikit-learn 1.3.2Compare Source
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:
The conda-forge builds can be installed using:
v1.3.1
: Scikit-learn 1.3.1Compare Source
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:
The conda-forge builds can be installed using:
v1.3.0
: Scikit-learn 1.3.0Compare Source
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:
The conda-forge builds can be installed using:
Configuration
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🚦 Automerge: Disabled by config. Please merge this manually once you are satisfied.
♻ Rebasing: Whenever PR becomes conflicted, or you tick the rebase/retry checkbox.
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