A collection of 85 minority oversampling techniques (SMOTE) for imbalanced learning with multi-class oversampling and model selection features
Some general face lifting and accomodation to latest changes in numpy, pandas and pylint.
Introducing support for Python 3.11, removing support for Python 3.8.
proportion parameter added.version bump
trim smote potential infinite loop fix
Default simplex sampling parameters changed.
a typo bugfix
deterministic simplex sampling feature added
psobat json serialization fix