In drug discovery, if you are lucky you might get hit compounds 10% of the time. So if you do ML-based drug discovery, your datasets are strongly imbalanced. It seems the imbalanced package would be perfect for this area.
J.B. 2017-08-25 10:53 GMT+02:00 Jaques Grobler <jaquesgrob...@gmail.com>: > Congrats guys! > > 2017-08-25 8:18 GMT+02:00 Sebastian Raschka <se.rasc...@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.lemaitr...@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/what >> s_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 >> > > > _______________________________________________ > scikit-learn mailing list > scikit-learn@python.org > https://mail.python.org/mailman/listinfo/scikit-learn > >
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