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

[Jaques Grobler]

Congrats guys!

2017-08-25 8:18 GMT+02:00 Sebastian Raschka <se.raschka at 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.lemaitre58 at 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 at python.org
> > https://mail.python.org/mailman/listinfo/scikit-learn
>
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