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Bump scikit-learn from 1.0.1 to 1.5.0 in /examples/xgboost/lightgbm-dist #2149
Bump scikit-learn from 1.0.1 to 1.5.0 in /examples/xgboost/lightgbm-dist #2149
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Bumps [scikit-learn](https://github.com/scikit-learn/scikit-learn) from 1.0.1 to 1.5.0. - [Release notes](https://github.com/scikit-learn/scikit-learn/releases) - [Commits](scikit-learn/scikit-learn@1.0.1...1.5.0) --- updated-dependencies: - dependency-name: scikit-learn dependency-type: direct:production ... Signed-off-by: dependabot[bot] <[email protected]>
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OK, I won't notify you again about this release, but will get in touch when a new version is available. If you'd rather skip all updates until the next major or minor version, let me know by commenting If you change your mind, just re-open this PR and I'll resolve any conflicts on it. |
Bumps scikit-learn from 1.0.1 to 1.5.0.
Release notes
Sourced from scikit-learn's releases.
... (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 versionffbe4ab
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 (...Dependabot will resolve any conflicts with this PR as long as you don't alter it yourself. You can also trigger a rebase manually by commenting
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