Hi Gael, I was wondering if you could elaborate on the problem of hyper-parameter tuning and why the imbalanced-learn would not benefit from it. Since that we used the identical pipeline of scikit-learn and add the part to handle the sampler, I would have think that we could use it.
However this is true that I did not play to much with this part of the API, so I should probably missed something. Cheers, On 20 July 2016 at 09:48, Gael Varoquaux <[email protected]> wrote: > Hey, > > These packages look great! I was interested in the imbalanced learning, > which is something that we stumbled upon: > > > * imbalanced-learn: > https://github.com/scikit-learn-contrib/imbalanced-learn > > > Python module to perform under sampling and over sampling with various > > techniques. > > Interestingly, the fit_sample method is related to the scikit-learn > enhancement proposal that we have tried to put together objects that can > modify the y in addition to the X: > https://github.com/scikit-learn/enhancement_proposals/pull/2 > > I think that this enhancement proposal of our API is important for two > reasons. The first one is that the corresponding objects cannot be put in > a pipeline (imbalanced-learn ends up having it's own pipeline), and hence > cannot benefit from hyper-parameter tuning on the full set of steps, or > cool things like DaskLearn. The second one is that different projects are > likely to come up with similar but incompatible solutions to this > problem, making it harder to combine things. > > Unfortunately, I haven't had time to push forward this proposal. But > comments on it (or a pull request to it) would be awesome. > > Cheers, > > Gaël > _______________________________________________ > scikit-learn mailing list > [email protected] > https://mail.python.org/mailman/listinfo/scikit-learn > -- *LEMAÎTRE GuillaumePhD CandidateMSc Erasmus Mundus ViBOT (Vision-roBOTic)MSc Business Innovation and Technology Management* [email protected] *ViCOROB - Computer Vision and Robotic Team* Universitat de Girona, Campus Montilivi, Edifici P-IV 17071 Girona Tel. +34 972 41 98 12 - Fax. +34 972 41 82 59 http://vicorob.udg.es/ *LE2I - Le Creusot*IUT Le Creusot, Laboratoire LE2I, 12 rue de la Fonderie, 71200 Le Creusot Tel. +33 3 85 73 10 90 - Fax. +33 3 85 73 10 97 http://le2i.cnrs.fr https://sites.google.com/site/glemaitre58/ Vice - Chairman of A.S.C. Fours UFOLEP Chairman of A.S.C. Fours FFC Webmaster of http://ascfours.free.fr
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