chore(deps): bump scikit-learn from 0.24.1 to 1.0.1 in /label_studio_ml/examples

[dependabot[bot]]

Bumps scikit-learn from 0.24.1 to 1.0.1.

Release notes

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.

scikit-learn 0.24.2

We're happy to announce the 0.24.2 release with several bugfixes:

You can see the changelog here: https://scikit-learn.org/stable/whats_new/v0.24.html#version-0-24-2

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

Commits

• 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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[codecov-commenter]

Codecov Report

All modified and coverable lines are covered by tests :white_check_mark:

Comparison is base (193e24e) 4.66% compared to head (5c8ace2) 4.66%.

Additional details and impacted files

@@          Coverage Diff           @@
##           master    #420   +/-   ##
======================================
  Coverage    4.66%   4.66%           
======================================
  Files           9       9           
  Lines         514     514           
======================================
  Hits           24      24           
  Misses        490     490           

:umbrella: View full report in Codecov by Sentry.
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[nikitabelonogov]

@dependabot rebase

[dependabot[bot]]

Looks like scikit-learn is up-to-date now, so this is no longer needed.