<div dir="ltr">Thanks a lot!</div><div class="gmail_extra"><br><div class="gmail_quote">On Thu, Aug 24, 2017 at 7:31 PM, Francois Dion <span dir="ltr"><<a href="mailto:francois.dion@gmail.com" target="_blank">francois.dion@gmail.com</a>></span> wrote:<br><blockquote class="gmail_quote" style="margin:0 0 0 .8ex;border-left:1px #ccc solid;padding-left:1ex"><div style="background-color:rgb(255,255,255);line-height:initial"> <div style="width:100%;font-size:initial;font-family:Calibri,'Slate Pro',sans-serif;color:rgb(31,73,125);text-align:initial;background-color:rgb(255,255,255)">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).</div> <div style="width:100%;font-size:initial;font-family:Calibri,'Slate Pro',sans-serif;color:rgb(31,73,125);text-align:initial;background-color:rgb(255,255,255)"><br></div> <div style="font-size:initial;font-family:Calibri,'Slate Pro',sans-serif;color:rgb(31,73,125);text-align:initial;background-color:rgb(255,255,255)">Sent from my BlackBerry 10 <wbr>Darkphone</div> <table width="100%" style="background-color:white;border-spacing:0px"> <tbody><tr><td colspan="2" style="font-size:initial;text-align:initial;background-color:rgb(255,255,255)"> <div style="border-style:solid none none;border-top-color:rgb(181,196,223);border-top-width:1pt;padding:3pt 0in 0in;font-family:Tahoma,'BB Alpha Sans','Slate Pro';font-size:10pt"> <div><b>From: </b>Guillaume Lemaître</div><div><b>Sent: </b>Thursday, August 24, 2017 20:15</div><div><b>To: </b>Scikit-learn user and developer mailing list</div><div><b>Reply To: </b>Scikit-learn mailing list</div><div><b>Subject: </b>[scikit-learn] imbalanced-learn 0.3.0 is chasing scikit-learn 0.19.0</div></div></td></tr></tbody></table><div><div class="h5"><div style="border-style:solid none none;border-top-color:rgb(186,188,209);border-top-width:1pt;font-size:initial;text-align:initial;background-color:rgb(255,255,255)"></div><br><div id="m_-3583891620959781683_originalContent"><div dir="ltr">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 <a href="https://tinyurl.com/y92flbab" target="_blank">https://tinyurl.com/y92flbab</a> for more info)<br><b></b><div><br></div><div>Notable add-ons are:</div><div><br></div><div>* Support of sparse matrices</div><div>* Support of multi-class resampling for all methods</div><div>* A new BalancedBaggingClassifier using random under-sampling chained with the scikit-learn BaggingClassifier<br></div><div>* Creation of a didactic user guide</div><div>* New API of the ratio parameter to fit the needs of multi-class resampling<br></div><div>* Migration from nosetests to pytest<br></div><div><br></div><div>You can check the full changelog at:</div><div><a href="http://contrib.scikit-learn.org/imbalanced-learn/stable/whats_new.html#version-0-3" target="_blank">http://contrib.scikit-learn.<wbr>org/imbalanced-learn/stable/<wbr>whats_new.html#version-0-3</a></div><div><br></div><div>A big thank you to contributors to use, raise issues, and submit PRs to imblearn.<br></div><div>-- <br><div class="m_-3583891620959781683gmail_signature"><div dir="ltr"><div><div dir="ltr"><div><div dir="ltr"><div>Guillaume Lemaitre</div></div></div></div></div></div></div>
</div></div>
<br></div></div></div></div>
<br>______________________________<wbr>_________________<br>
scikit-learn mailing list<br>
<a href="mailto:scikit-learn@python.org">scikit-learn@python.org</a><br>
<a href="https://mail.python.org/mailman/listinfo/scikit-learn" rel="noreferrer" target="_blank">https://mail.python.org/<wbr>mailman/listinfo/scikit-learn</a><br>
<br></blockquote></div><br></div>