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

[Gael Varoquaux]

Indeed, congratulations for the release!

Gaël

On Fri, Aug 25, 2017 at 02:13:26PM +1000, Joel Nothman wrote:
> Congratulations Guillaume and the imblearn team!

> On 25 August 2017 at 10:14, 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.
-- 
    Gael Varoquaux
    Researcher, INRIA Parietal
    NeuroSpin/CEA Saclay , Bat 145, 91191 Gif-sur-Yvette France
    Phone:  ++ 33-1-69-08-79-68
    http://gael-varoquaux.info            http://twitter.com/GaelVaroquaux