[scikit-learn] imbalanced-learn 0.3.0 is chasing scikit-learn 0.19.0

Guillaume Lemaître g.lemaitre58 at gmail.com
Thu Aug 24 20:14:08 EDT 2017

We are excited to announce the new release of the scikit-learn-contrib
imbalanced-learn, already available through conda and pip (cf. the
installation page https://tinyurl.com/y92flbab for more info)

Notable add-ons are:

* Support of sparse matrices
* Support of multi-class resampling for all methods
* A new BalancedBaggingClassifier using random under-sampling chained with
the scikit-learn BaggingClassifier
* Creation of a didactic user guide
* New API of the ratio parameter to fit the needs of multi-class resampling
* Migration from nosetests to pytest

You can check the full changelog at:

A big thank you to contributors to use, raise issues, and submit PRs to
Guillaume Lemaitre
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