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 met
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).
Thanks a lot!
On Thu, Aug 24, 2017 at 7:31 PM, Francois Dion
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:
Congratulations Guillaume and the imblearn team!
On 25 August 2017 at 10:14, Guillaume Lemaître
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 fo
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 wrote:
> We are excited to announce the new release of the scikit-learn-contrib
>
+1 B
On 25/08/2017 07:52, Gael Varoquaux wrote:
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 wrote:
We are excited to announce t
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,