>> Yes, you should probably start by reading the source code of related
>> ensemble models such as Adaboost and Bagging models (and maybe GBRT
>> and forest models but they are more tree related hence less decoupled
>> from the base estimator).
Thanks a lot for the advice !
On Tue, Dec 10, 2013 at 9:12 PM, Olivier Grisel <olivier.gri...@ensta.org>wrote:
> 2013/12/10 magellane a <magella...@gmail.com>:
> >
> >>>We are still missing a stacking ensemble meta-estimator:
> >>>
> http://www.machine-learning.martinsewell.com/ensembles/stacking/Wolpert1992.pdf
> >>> (2748 citations)
> >
> > I would be glad to work on this, beside the guidelines here
> > (http://scikit-learn.org/stable/developers/) are there any other
> guidelines
> > that I'm supposed to know or read before working on it,
>
> Yes, you should probably start by reading the source code of related
> ensemble models such as Adaboost and Bagging models (and maybe GBRT
> and forest models but they are more tree related hence less decoupled
> from the base estimator).
>
> --
> Olivier
> http://twitter.com/ogrisel - http://github.com/ogrisel
>
>
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