Hi,
Thanks for your interest in contributing to scikit-learn.
>
> I agree that it's not a `major tool` and I would appreciate if you could
> guide me to any new `valuable` paper about forming an ensemble from library
> of models, or in general any paper that's `valuable` related to ensemble
> method that I can contribute to scikit-learn, Thanks a lot for your
> consideration
>
We are still missing a stacking ensemble meta-estimator:
http://www.machine-learning.martinsewell.com/ensembles/stacking/Wolpert1992.pdf
(2748 citations)
Best,
Arnaud
PS: This paper might also be interesting http://arxiv.org/pdf/1105.5466.pdf
(326 citations)
> Respectfully
> Yakoub
>
>
> On Sun, Dec 8, 2013 at 7:57 PM, Gael Varoquaux
> <[email protected]> wrote:
> Hi Magellane,
>
> > I would like to provide an implementation for the Ensemble selection
> > technique as described by the following paper : Ensemble selection from
> > libraries of models by Rich Caruana ,Alexandru Niculescu-Mizil,Geoff
> > Crew,Alex Ksikes (
> > www.cs.cornell.edu/~caruana/ctp/ct.papers/caruana.icml04.icdm06long.pdf)
>
> This paper has 200 citations on Google scholar, which is somewhat on the
> low end of what we include in scikit-learn.
>
> Do you believe that it is a major tool that is very useful in general?
> Have you had a lot of success using it?
>
> Thanks a lot for the proposal,
>
> Gaël
>
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