On Thu, Mar 22, 2012 at 09:56:31AM +0000, Conrad Lee wrote: > I puzzled over this for a while but didn't find a way to make this work > with the pipeline. The problem seems to be that I don't want to perform > two steps sequentially. That is, I don't first want to do the recursive > feature elimination, and then with that reduced set of features find the > best value of C for regularization. The problem with this is that the > recursive feature elimination already depends on the value of C. So I want > the search for the right value of C to take place within the recursive > feature elimination, not after it.
OK, I hadn't understood your problem. I think that the answer to this problem is to give to the REFCV as an 'estimator' parameter an GridSearchCV object that tunes the SVC. Would that make sens? Gaël ------------------------------------------------------------------------------ This SF email is sponsosred by: Try Windows Azure free for 90 days Click Here http://p.sf.net/sfu/sfd2d-msazure _______________________________________________ Scikit-learn-general mailing list Scikit-learn-general@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/scikit-learn-general
