Hi all, We're happy to announce the 0.7 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 should be fully compatible with scikit-learn 0.23 The full changelog can be found here: http://imbalanced-learn.org/stable/whats_new.html The new release of imbalanced-learn is already available via pip and conda! For more information, examples, and documentation, please visit our website: http://imbalanced-learn.org Cheers, Chris, on behalf of the imbalanced-learn team.
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