v0.5.0

What's Changed

• better extreme case handling for roc auc by @abstractqqq in #187
• Mann whitney stats by @abstractqqq in #189
• updated polars ver by @abstractqqq in #190
• added polars v1 support by @abstractqqq in #191
• Refactor longest streak by @abstractqqq in #192
• added impute_nan by @abstractqqq in #194
• added bicor (biweight midcorrelation) by @abstractqqq in #195
• added eager execution on series by @abstractqqq in #197
• Kdt refactor. All kd tree related queries should be at least 10-20% faster now. by @abstractqqq in #198
• removed modules that don't really belong by @abstractqqq in #199
• removed unneeded rust dependency by @abstractqqq in #200
• Added L2 (ridge) regression option by @abstractqqq in #201

v0.5 Near Term Goals

1. Pipeline feature parity with categorical_encoder and Scikit-learn, with some exceptions
2. More thorough testing with v1
3. Uncaught Bugs / simple feature requests
4. Interpolations

v0.5 + Longer Term Goals

1. Lasso regression. Rolling regression.
2. Stand alone models (linear regression and Kdtree)
3. K-means / K-medoids

Full Changelog: v0.4.6...v0.5.0