scikit-learn
https://github.com/scikit-learn/scikit-learn
Python
scikit-learn: machine learning in Python
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- Issues
- Yeo-Johnson inverse_transform fails silently on extreme skew data
- DOC add an example on how to optimize a metric with a constraint in TunedThresholdClassifierCV
- MAINT create a specific scorer base class for curve metrics
- ENH add possibility to have a callable for verbose_feature_names_out of ColumnTransformer
- ENH Add missing `base.is_clusterer()` function
- Allow for multiple scoring metrics in `RFECV`
- BUG internal indexing tools trigger error with pandas < 2.0.0
- Update FAQ about pandas
- Allow to use prefitted SelectFromModel in ColumnTransformer
- Random Forest predict() does not produce reproducible results. random_state=42
- Docs
- Python not yet supported