Bump scikit-learn from 0.23.2 to 1.5.0 in /docker/dropin_env_base_julia #1057
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The Needs Review labels were added based on the following file changes. Team @datarobot/custom-models (#custom-models) was assigned because of changes in files:docker/dropin_env_base_julia/requirements.txt If you think that there are some issues with ownership, please discuss with C&A domain at #core-backend-domain slack channel and create PR to update DRCODEOWNERS\CODEOWNERS file. |
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Bumps [scikit-learn](https://github.com/scikit-learn/scikit-learn) from 0.23.2 to 1.5.0. - [Release notes](https://github.com/scikit-learn/scikit-learn/releases) - [Commits](scikit-learn/scikit-learn@0.23.2...1.5.0) --- updated-dependencies: - dependency-name: scikit-learn dependency-type: direct:production ... Signed-off-by: dependabot[bot] <[email protected]>
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Bumps scikit-learn from 0.23.2 to 1.5.0.
Release notes
Sourced from scikit-learn's releases.
... (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 (...You can trigger a rebase of this PR by commenting
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