Congrats guys! 2017-08-25 8:18 GMT+02:00 Sebastian Raschka <se.rasc...@gmail.com>:
> Just read through the summary of the new features and browsed through the > user guide. The guide is really well structured and easy to navigate, > thanks for putting all the work into it. Overall, thanks for this great > contribution and new version :) > > Best, > Sebastian > > > On Aug 24, 2017, at 8:14 PM, 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 > > _______________________________________________ > scikit-learn mailing list > scikit-learn@python.org > https://mail.python.org/mailman/listinfo/scikit-learn >
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