scikit-learn
https://github.com/scikit-learn/scikit-learn
Python
scikit-learn: machine learning in Python
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- Issues
- DEP deprecate multi_class in LogisticRegression
- TST Speed-up test by running setup.py check rather than setup.py config
- Make RFE/RFECV preserve pandas dataframes
- DOC: replace pandas with polars for feature engineering in examples/applications/plot_time_series_lagged_features.py
- MAINT(?) In `_tree.pyx` and `_splitter.pyx` for `tree/`, is `n_constant_features` necessary to pass around explicitly?
- Macro vs micro-averaging switched up in user guide
- Implement temperature scaling for (multi-class) calibration
- Localization of scikit-learn website content.
- Create estimators for inference only
- Remove the float64 accumulator in r2_score sums
- Docs
- Python not yet supported