pytorch-sequence-tagger
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Bump scikit-learn from 0.19.1 to 1.5.0
Bumps scikit-learn from 0.19.1 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-learnThe conda-forge builds can be installed using:
conda install -c conda-forge scikit-learnScikit-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-learnScikit-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-learnThe conda-forge builds can be installed using:
conda install -c conda-forge scikit-learn
... (truncated)
Commits
b51d0c9trigger whell builder [cd build]919ae9bMAINT Reoder what's new for 1.5 (#29039)0ac28adDOC Release highlights 1.5 (#29007)729b54dtest py3.12 against numpy 2 [cd build]1e50434set versionffbe4abDOC remove obsolete SVM example (#27108)4647729DOC Fix time complexity of MLP (#28592)9bd7047FIX convergence criterion of MeanShift (#28951)b79420fFIX add long long for int32/int64 windows compat in NumPy 2.0 (#29029)37f544dDOC replace pandas with Polars in examples/gaussian_process/plot_gpr_co2.py (...- Additional commits viewable in compare view
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