Gills and Jacob, Thanks for the answer!
Best, Rex On Sat, Sep 12, 2015 at 8:31 AM, Jacob Schreiber <jmschreibe...@gmail.com> wrote: > Hi Rex > > As Gilles said, this currently is not supported in sklearn. It may be > possible to do this with post processing, by checking to see if child > splits produced the same result. aka if city == 'a' return 0, else if city > == 'b' return 0 else 1 (a simple 2 node decision tree) can be merged into > if city == 'a' or 'b' return 0 else 1. > > Jacob > > On Fri, Sep 11, 2015 at 11:23 PM, Gilles Louppe <g.lou...@gmail.com> > wrote: > >> Hi Rex, >> >> This is currently not supported in scikit-learn. >> >> Gilles >> >> On 12 September 2015 at 05:02, Rex X <dnsr...@gmail.com> wrote: >> > Given categorical attributes, for instance >> > city = ['a', 'b', 'c', 'd', 'e', 'f'] >> > >> > With DictVectorizer(), we can transform "city" into a sparse matrix, >> using >> > 1-of-k representation. >> > >> > But for each split, the decisionTree evaluate only one single >> attribute, say >> > city == 'a' - True or False? >> > >> > What I want is to ask if the city is in a subset >> > city.isin['a', 'b', 'c'] - True or False? >> > >> > >> > As I know, the implementation of MLlib of spark can do this? >> > >> > Can we make do this within scikit-learn? >> > >> > >> > Best, >> > Rex >> > >> > >> ------------------------------------------------------------------------------ >> > >> > _______________________________________________ >> > 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 >> > > > > ------------------------------------------------------------------------------ > > _______________________________________________ > Scikit-learn-general mailing list > Scikit-learn-general@lists.sourceforge.net > https://lists.sourceforge.net/lists/listinfo/scikit-learn-general > >
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