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

[Sebastian Raschka]

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
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