qnbhd / mljet

Minimalistic ML-models auto deployment tool
MIT License
67 stars 4 forks source link

chore(deps): update requirements to v1.5.0 - autoclosed #133

Closed renovate[bot] closed 3 months ago

renovate[bot] commented 1 year ago

Mend Renovate

This PR contains the following updates:

Package Change Age Adoption Passing Confidence
scikit-learn (source, changelog) ==1.2.1 -> ==1.5.0 age adoption passing confidence
scikit-learn (source, changelog) ==1.1.3 -> ==1.5.0 age adoption passing confidence

Release Notes

scikit-learn/scikit-learn (scikit-learn) ### [`v1.5.0`](https://togithub.com/scikit-learn/scikit-learn/releases/tag/1.5.0): Scikit-learn 1.5.0 [Compare Source](https://togithub.com/scikit-learn/scikit-learn/compare/1.4.2...1.5.0) 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`](https://togithub.com/scikit-learn/scikit-learn/releases/tag/1.4.2): Scikit-learn 1.4.2 [Compare Source](https://togithub.com/scikit-learn/scikit-learn/compare/1.4.1.post1...1.4.2) 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 ### [`v1.4.1.post1`](https://togithub.com/scikit-learn/scikit-learn/releases/tag/1.4.1.post1): Scikit-learn 1.4.1.post1 [Compare Source](https://togithub.com/scikit-learn/scikit-learn/compare/1.4.0...1.4.1.post1) We're happy to announce the 1.4.1.post1 release. You can see the changelog here: https://scikit-learn.org/stable/whats_new/v1.4.html#version-1-4-1-post1 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 ### [`v1.4.0`](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

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 these updates again.



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codecov-commenter commented 1 year ago

Codecov Report

Patch and project coverage have no change.

Comparison is base (6c78b08) 86.66% compared to head (4d9acfe) 86.66%.

Additional details and impacted files ```diff @@ Coverage Diff @@ ## main #133 +/- ## ======================================= Coverage 86.66% 86.66% ======================================= Files 42 42 Lines 1155 1155 ======================================= Hits 1001 1001 Misses 154 154 ```

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