Well done guys! Thanks a lot for this great release! I hope to be back soon.
Best, Chris On Fri, Aug 25, 2017 at 3:14 AM, Guillaume Lemaître <g.lemaitr...@gmail.com> wrote: > 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: > http://contrib.scikit-learn.org/imbalanced-learn/stable/ > whats_new.html#version-0-3 > > A big thank you to contributors to use, raise issues, and submit PRs to > imblearn. > -- > Guillaume Lemaitre > > _______________________________________________ > scikit-learn mailing list > scikit-learn@python.org > https://mail.python.org/mailman/listinfo/scikit-learn > >
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