This is an innovative machine learning project that utilizes patient reviews with many other attributes to analyze and evaluate the effectiveness of drugs.
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Bumps scikit-learn from 1.3.2 to 1.4.0.
Release notes
Sourced from scikit-learn's releases.
Commits
46b5f54
trigger wheel builder [cd build]262e21d
update versionedb474b
REL Update what's new and index for 1.4.0 final (#28148)e282c54
DOC 1.4 release highlights: PCA on sparse data improvements (#28138)d6bfe39
DOC add the HTML output for the polars dataframe for the 1.4 release highligh...673b74f
DOC add example for sklearn.utils.validation, check_memory and check_is_fitt...b06f444
DOC Improve docs of permutation importance on the user guide (#27154)45a5f6a
MAINT fix scipy-dev tests by passing 1d vector to unique (#28137)75087a8
API Forbid pd.NA in ColumnTransformer output unless transform output is confi...2c4a51c
DOC Add doc link to SVC reference (#28073)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
@dependabot rebase
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