On Sat, 11 Jan 2014, Jessica Goold wrote: > Hi All, > I was wondering if it was possible to enable ca.stats when just using� > clf = LinearCSVMC() > clf.train(ds1) > predictions = clf.predict(ds2.samples)
quick reply for now -- try if works ;) cm = ConfusionMatrix(targets=ds2.targets, predictions=predictions) will provide you the 'stats' ;) -- Yaroslav O. Halchenko, Ph.D. http://neuro.debian.net http://www.pymvpa.org http://www.fail2ban.org Senior Research Associate, Psychological and Brain Sciences Dept. 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
