canonical / charmed-kubeflow-uats

Automated UATs for Charmed Kubeflow
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chore(deps): update dependency scikit-learn to <1.5 - autoclosed #29

Closed renovate[bot] closed 4 months ago

renovate[bot] commented 9 months ago

Mend Renovate

This PR contains the following updates:

Package Change Age Adoption Passing Confidence
scikit-learn (source) <1.2 -> <1.5 age adoption passing confidence

Release Notes

scikit-learn/scikit-learn (scikit-learn) ### [`v1.4.0`](https://togithub.com/scikit-learn/scikit-learn/compare/1.3.2...1.4.0) [Compare Source](https://togithub.com/scikit-learn/scikit-learn/compare/1.3.2...1.4.0) ### [`v1.3.2`](https://togithub.com/scikit-learn/scikit-learn/releases/tag/1.3.2): Scikit-learn 1.3.2 [Compare Source](https://togithub.com/scikit-learn/scikit-learn/compare/1.3.1...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 ### [`v1.3.1`](https://togithub.com/scikit-learn/scikit-learn/releases/tag/1.3.1): Scikit-learn 1.3.1 [Compare Source](https://togithub.com/scikit-learn/scikit-learn/compare/1.3.0...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 ### [`v1.3.0`](https://togithub.com/scikit-learn/scikit-learn/releases/tag/1.3.0): Scikit-learn 1.3.0 [Compare Source](https://togithub.com/scikit-learn/scikit-learn/compare/1.2.2...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 ### [`v1.2.2`](https://togithub.com/scikit-learn/scikit-learn/releases/tag/1.2.2): Scikit-learn 1.2.2 [Compare Source](https://togithub.com/scikit-learn/scikit-learn/compare/1.2.1...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 ### [`v1.2.1`](https://togithub.com/scikit-learn/scikit-learn/releases/tag/1.2.1): scikit-learn 1.2.1 [Compare Source](https://togithub.com/scikit-learn/scikit-learn/compare/1.2.0...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 ### [`v1.2.0`](https://togithub.com/scikit-learn/scikit-learn/releases/tag/1.2.0): Scikit-learn 1.2.0 [Compare Source](https://togithub.com/scikit-learn/scikit-learn/compare/1.1.3...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.

Configuration

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