[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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[SunrisesIllNeverSee]

Verification run (fresh clone, Python 3.11 venv): the bumped package installs and imports (scikit-learn 1.5.0, pytest 9.0.3 with numpy<2). No Python file in this paper_harness imports sklearn, pandas or pytest, and it has no test suite (pytest collects 0 tests). The four run_*.py scripts compile. The existing pandas==1.3.5 pin in the same requirements.txt does not build on any current Python, so the full file cannot be installed on the default branch either (pre-existing).
Left open, not merged: this is a major-version bump and the cleanup rule requires the affected test suite to actually run and pass. There is none here, so I cannot satisfy that gate. The change looks low risk (dev requirements only, no code uses these packages). GitHub check repo-standard is green, which is a structure check and not a build or test. Merge when a human accepts that tradeoff.