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

Christos Aridas ichkoar at gmail.com
Mon Aug 28 08:37:14 EDT 2017


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.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
>
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> scikit-learn at python.org
> https://mail.python.org/mailman/listinfo/scikit-learn
>
>
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