Hi all, We're happy to announce the 0.6 (and 0.6.1) release.
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 pattern recognition. In this release several enhancements, bug fixes and maintenance tasks have been introduced. Notable enhancements: 1) Pandas DataFrame in, Pandas DataFrame out. 2) Speed-up of the resampling procedure in some samplers due to internal vectorization. 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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