Thanks a lot! On Thu, Aug 24, 2017 at 7:31 PM, Francois Dion <francois.d...@gmail.com> wrote:
> Merci beaucoup. Super utile. J' ai d'ailleurs introduit ton module a la > conference data intelligence a Capital One il y a moins de 2 mois ( en > banlieue de Washington DC). > > Sent from my BlackBerry 10 Darkphone > *From: *Guillaume Lemaître > *Sent: *Thursday, August 24, 2017 20:15 > *To: *Scikit-learn user and developer mailing list > *Reply To: *Scikit-learn mailing list > *Subject: *[scikit-learn] imbalanced-learn 0.3.0 is chasing scikit-learn > 0.19.0 > > 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
