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 ------------------------------------------------------------------------------ Rapidly troubleshoot problems before they affect your business. Most IT organizations don't have a clear picture of how application performance affects their revenue. With AppDynamics, you get 100% visibility into your Java,.NET, & PHP application. Start your 15-day FREE TRIAL of AppDynamics Pro! http://pubads.g.doubleclick.net/gampad/clk?id=84349831&iu=/4140/ostg.clktrk _______________________________________________ Scikit-learn-general mailing list Scikit-learn-general@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/scikit-learn-general
