Please do! and thank you for all the responses :D
Don't want to come across as lazy but I'm not a master coder at all so sometimes figuring out what one line of code does can be quite the ordeal, in my case. J On Wed, Oct 24, 2012 at 3:54 PM, Yaroslav Halchenko <[email protected]>wrote: > > On Wed, 24 Oct 2012, MS Al-Rawi wrote: > > Cross-validation is fine even in this case, you'll just need to > rearrange > > your data in a way to leave-a-set-of-stimuli out, instead of > > leave-one-run-out. Perhaps PyMVPA has some functionality to do this. > > now it is getting interesting -- I think you got close to what I thought > the question was about: to investigate the conceptual/true effect of > e.g. some super-ordinate category (e.g. animate-vs-inanimate) you > would like to cross-validate not across functional runs BUT across > sub-ordinate stimuli categories (e.g. train on > humans/reptiles/shoes/scissors to discriminate animacy and > cross-validate into bugs/houses, then continue with another pair to take > out). And that is what I thought for a moment the question was > about ;) > > This all can be (was) done with PyMVPA although would require 3-4 > lines of code instead of 1 to accomplish ATM. If anyone interested I > could provide an example ;)... ? > > -- > 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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