While it's not bad to have more people know the internals of the tree code, ideally people shouldn't *have* to. Do you have any hints for how documentation could better serve users to not land in whatever trap you did?
On 15 August 2015 at 16:03, Simon Burton <si...@arrowtheory.com> wrote: > > My bad. I did something stupid (again). > > On the plus side, I now know my way around the internals of > the tree code much better. > > Cheers. > > > On Sat, 15 Aug 2015 14:11:49 +1000 > Simon Burton <si...@arrowtheory.com> wrote: > > > > > Hi, > > > > I am training a DecisionTreeClassifier on samples with a large (500) > > number of features. I find that the tree refuses to grow (and so > > cannot be used in boosting) unless I remove (zero) some of the > > features. This seems strange. Any ideas why? I tried fiddling > > with the settings, now delving into the implementation. > > > > Simon. > > > > > ------------------------------------------------------------------------------ > > _______________________________________________ > > Scikit-learn-general mailing list > > Scikit-learn-general@lists.sourceforge.net > > https://lists.sourceforge.net/lists/listinfo/scikit-learn-general > > > ------------------------------------------------------------------------------ > _______________________________________________ > Scikit-learn-general mailing list > Scikit-learn-general@lists.sourceforge.net > https://lists.sourceforge.net/lists/listinfo/scikit-learn-general >
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