Hi all, We are happy to announce the 0.9.1 version of imbalanced-learn. imbalanced-learn is a toolbox aiming at providing a wide range of methods to cope with the problem of imbalanced data sets frequently encountered in machine learning and data mining. This release makes sure to be fully compatible with scikit-learn 1.1.0 pip install -U imbalanced-learn The conda-forge builds will be available shortly, which you can then install using: conda install -c conda-forge imbalanced-learn For more information, examples, and documentation, please visit: https://imbalanced-learn.org <https://imbalanced-learn.org/> -- Guillaume Lemaitre Scikit-learn @ Inria Foundation https://glemaitre.github.io/