aws-lambda-docker-serverless-inference

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Sourced from scikit-learn's releases.

scikit-learn 1.0.1

We're happy to announce the 1.0.1 release with several bugfixes:

You can see the changelog here: https://scikit-learn.org/dev/whats_new/v1.0.html#version-1-0-1

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

scikit-learn 1.0

We're happy to announce the 1.0 release. You can read the release highlights under https://scikit-learn.org/stable/auto_examples/release_highlights/plot_release_highlights_1_0_0.html and the long version of the change log under https://scikit-learn.org/stable/whats_new/v1.0.html#changes-1-0

This version supports Python versions 3.7 to 3.9.

• 0d37891 Trigger wheel builder workflow: [cd build]
• 7737cb9 DOC update the News section in website (#21417)
• 8971a19 DOC Ensures that MultiTaskElasticNetCV passes numpydoc validation (#21405)
• d6e24ee DOC Ensures that LabelSpreading passes numpydoc validation (#21414)
• 14fda2f DOC Ensures that PassiveAggressiveRegressor passes numpydoc validation (#21413)
• 112ae4e DOC Ensures that OrthogonalMatchingPursuitCV passes numpydoc validation (#21412)
• cd927c0 FIX delete feature_names_in_ when refitting on a ndarray (#21389)
• ae223ee bumpversion to 1.0.1
• 9227162 MNT remove 1.1 changelog due to rebase conflict
• 5d75547 MNT fix changelog 1.0.1 (#21416)
• Additional commits viewable in compare view

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