See https://github.com/scikit-learn/scikit-learn/issues/6564 and https://github.com/scikit-learn/scikit-learn/pull/7269
On Sun, Apr 30, 2017 at 5:50 PM, Sebastian Raschka <se.rasc...@gmail.com> wrote: > For RFECV, I think that a min_features parameter could be useful. > > Alternatively, making XGBoost more scikit-learn compatible instead of > making scikit-learn more XGBoost compatible could be another take on this. > > Best, > Sebastian > > > On Apr 30, 2017, at 3:13 PM, George Fisher <geo...@georgefisher.com> > wrote: > > > > I found that xgboost generates an exception under RFECV when the number > of features remaining falls below 3. I fixed this for myself by adding a > 'stop_at' parameter (default=1) that stops the process in RFE when the > remaining features falls below this number. I think it might be a useful > feature more broadly than simply as a hacked work-around so I offer it as a > pull request. > > > > George Fisher > > geo...@georgefisher.com > > +1 917-514-8204 > > https://github.com/grfiv > > > > Ubuntu 17.04 Desktop > > Python 3.5.3 > > IPython 6.0.0 > > sklearn 0.18.1 > > (xgboost 0.6) > > _______________________________________________ > > scikit-learn mailing list > > scikit-learn@python.org > > https://mail.python.org/mailman/listinfo/scikit-learn > > _______________________________________________ > scikit-learn mailing list > scikit-learn@python.org > https://mail.python.org/mailman/listinfo/scikit-learn > -- Manoj, http://github.com/MechCoder
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