Is there a description about this somewhere? I can’t find it in the docu.
Thanks! Am 05.09.2014 um 18:40 schrieb Flavio Vinicius <[email protected]>: > I the case of LinearRegression independent models are being fit for > each response. But this is not the case for every multi-response > estimator. Afaik, the multi response regression forests in sklearn > will consider the correlation between features. > -- > Flavio > > > On Fri, Sep 5, 2014 at 11:03 AM, Philipp Singer <[email protected]> wrote: >> Hey! >> >> I am currently working with data having multiple outcome variables. So for >> example, my outcome I want to predict can be of multiple dimension. One line >> of the data could look like the following: >> >> y = [10, 15] x = [13, 735478, 0.555, …] >> >> So I want to predict all dimensions of the outcome. >> >> I have seen that some algorithms can predict such multiple targets. I have >> tried it with LinearRegression and it seems to work fine. >> >> I have not found a clear description of how this works though. Does it fit >> one Regression separately for each outcome variable? >> >> Best, >> Philipp >> ------------------------------------------------------------------------------ >> Slashdot TV. >> Video for Nerds. Stuff that matters. >> http://tv.slashdot.org/ >> _______________________________________________ >> Scikit-learn-general mailing list >> [email protected] >> https://lists.sourceforge.net/lists/listinfo/scikit-learn-general > > ------------------------------------------------------------------------------ > Slashdot TV. > Video for Nerds. Stuff that matters. > http://tv.slashdot.org/ > _______________________________________________ > Scikit-learn-general mailing list > [email protected] > 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 [email protected] https://lists.sourceforge.net/lists/listinfo/scikit-learn-general
