On Sat, Mar 26, 2016 at 05:31:36PM -0400, Sebastian Raschka wrote: > I wouldn’t fundamentally change the random forest algorithm in scikit-learn > using ideas from xgboost, since it wouldn’t be a random forest anymore, then. > Please don’t get me wrong, I’d also like to see a more efficient (predictive > and/or computational performance), but I think that it should be a separate > estimator, not modification of the random forest itself.
+1 ------------------------------------------------------------------------------ Find and fix application performance issues faster with Applications Manager Applications Manager provides deep performance insights into multiple tiers of your business applications. It resolves application problems quickly and reduces your MTTR. Get your free trial! https://ad.doubleclick.net/ddm/clk/302982198;130105516;z _______________________________________________ Scikit-learn-general mailing list Scikit-learn-general@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/scikit-learn-general
