Hi Luca, This may not be the fastest implementation, but random forest proximities can be computed quite straightforwardly in Python given our 'apply' function. See for instance https://github.com/glouppe/phd-thesis/blob/master/scripts/ch4_proximity.py#L12
>From a personal point of view, I never use them but since this is quite standard in other random forest implementations, this may be a nice little contribution. I dont know where it should be put though in scikit-learn, since it very much looks like a pairwise metric. What do other tree growers think? Cheers, Gilles On 8 September 2014 11:05, Luca Puggini <lucapug...@gmail.com> wrote: > Hi, > for personal reason I am writing a function to compute the outlier measure > from random forest > http://www.stat.berkeley.edu/~breiman/RandomForests/cc_home.htm#outliers > > with a little more work I can include the function in the sklearn random > forest class. > > Is the community interested? Should I do it? > I think that this would be useful. This function is already available in > matlab http://www.mathworks.co.uk/help/stats/compacttreebagger-class.html > > Let me know. > > Best, > Luca > > ------------------------------------------------------------------------------ > Want excitement? > Manually upgrade your production database. > When you want reliability, choose Perforce > Perforce version control. Predictably reliable. > http://pubads.g.doubleclick.net/gampad/clk?id=157508191&iu=/4140/ostg.clktrk > _______________________________________________ > Scikit-learn-general mailing list > Scikit-learn-general@lists.sourceforge.net > https://lists.sourceforge.net/lists/listinfo/scikit-learn-general > ------------------------------------------------------------------------------ Want excitement? Manually upgrade your production database. When you want reliability, choose Perforce Perforce version control. Predictably reliable. http://pubads.g.doubleclick.net/gampad/clk?id=157508191&iu=/4140/ostg.clktrk _______________________________________________ Scikit-learn-general mailing list Scikit-learn-general@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/scikit-learn-general
