Thank you very much Yaroslav, you're always thoroughly exhaustive! Now it works very well!!
Thank you Roberto On 27 November 2012 16:19, Yaroslav Halchenko <[email protected]> wrote: > > On Tue, 27 Nov 2012, Roberto Guidotti wrote: > > Well the snippet probabilities = clf.ca.probabilities is only an > example > > that I've build to reveal the exception (I didn't think is a version > > problem, I had 2.0.1 mvpa)!!� > > 2.0.1 ... hm... I do not remember how life was back then ;) > > > BTW I was quite sure that the problem relied on the cross validation > :)! > > �I would like to gather all the predictions/probabilities for each cv > > fold. > > then provide callback to the CrossValidation and there you can collect > anything you like from your classifier upon completion of every split. > e.g. look at > https://github.com/PyMVPA/PyMVPA/blob/HEAD/mvpa2/tests/test_rfe.py#L403 > > > > This why using the ca 'training_stats' during the definition of the > > classifier, I had the probabilities of the samples during training? > > I guess ;) > > > So I can't have access to every cv fold probabilities/predictions > using > > CrossValidation object? > > you can with above mentioned callback > > > Or I need a manual CrossValidation (and sometimes > > a Feature Selection)? > > if you decide to gather probabilities on both training and testing > samples, then you might need indeed manual loop with explicit .train > .predict so you get needed probabilities at the right moment. Otherwise > -- callback should be sufficient > -- > Yaroslav O. Halchenko > Postdoctoral Fellow, Department of Psychological and Brain Sciences > Dartmouth College, 419 Moore Hall, Hinman Box 6207, Hanover, NH 03755 > Phone: +1 (603) 646-9834 Fax: +1 (603) 646-1419 > WWW: http://www.linkedin.com/in/yarik > > _______________________________________________ > Pkg-ExpPsy-PyMVPA mailing list > [email protected] > http://lists.alioth.debian.org/cgi-bin/mailman/listinfo/pkg-exppsy-pymvpa >
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