On Tue, 29 Oct 2013, Taku Ito wrote: > Awesome, thanks so much. So far so good... Hopefully it turns out ok!
sure -- just bake it a bit longer for better flavor ;) > Just out of curiosity, how does it choose the number of attributes to > balance? For each fold, is it a random number of balanced target labels > each fold? Or is it a fixed number (e.g., the maximum number of labels > such that the number of target labels remains equal)? I think it is the latter... I would encourage you to verify what such a ChainNode would actually do to your dataset before plugging it into CrossValidation ;) -- 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
