Bump scikit-learn from 1.0.2 to 1.5.0 in /sdks/python/apache_beam/examples/inference/online_clustering/clustering_pipeline

[dependabot]

Bumps scikit-learn from 1.0.2 to 1.5.0.

Release notes

Sourced from scikit-learn's releases.

Scikit-learn 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

Scikit-learn 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

Scikit-learn 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

... (truncated)

Commits

• b51d0c9 trigger whell builder [cd build]
• 919ae9b MAINT Reoder what's new for 1.5 (#29039)
• 0ac28ad DOC Release highlights 1.5 (#29007)
• 729b54d test py3.12 against numpy 2 [cd build]
• 1e50434 set version
• ffbe4ab DOC remove obsolete SVM example (#27108)
• 4647729 DOC Fix time complexity of MLP (#28592)
• 9bd7047 FIX convergence criterion of MeanShift (#28951)
• b79420f FIX add long long for int32/int64 windows compat in NumPy 2.0 (#29029)
• 37f544d DOC replace pandas with Polars in examples/gaussian_process/plot_gpr_co2.py (...
• Additional commits viewable in compare view

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[codecov]

Codecov Report

✅ All modified and coverable lines are covered by tests.
✅ Project coverage is 57.08%. Comparing base (dec8d23) to head (e4e95eb).
⚠️ Report is 9 commits behind head on master.

Additional details and impacted files

@@             Coverage Diff              @@
##             master   #39525      +/-   ##
============================================
+ Coverage     57.02%   57.08%   +0.06%     
  Complexity     3640     3640              
============================================
  Files          1189     1190       +1     
  Lines        190934   191286     +352     
  Branches       3800     3800              
============================================
+ Hits         108881   109205     +324     
- Misses        78544    78572      +28     
  Partials       3509     3509              

Flag	Coverage Δ
python	79.80% <ø> (+0.05%)	⬆️

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