Hi,
----- Original Message ---- From: Yaroslav Halchenko <[email protected]> To: [email protected] Sent: Friday, January 23, 2009 5:34:29 PM Subject: Re: [pymvpa] SMLR weights > Hi, Thanks for your quick response! you are welcome > The save method is a nice trick, and it makes sense to use samples only for > prediction. btw -- if not too big of a secret -- why did you want to invoke .predict manually? most of the time it is sufficient to use CrossValidatedTransferError or SplitClassifier... no, not at all ;) for that case I was just curious to have a look at the values from training data themselves. But your asking actually lead me to a question about cross-validation output esp. for leave-one-out method. I noticed the harvest_attribs option in CrossValidatedTransferError, and was wondering whether the sensitivities or other measures harvested there should always be used in place of those from full dataset without cross-validation. For sensitivity particularly, CrossValidatedTransferError gives a set of sens values for each run, and I'm not sure how could they be summed up. In SMLR for instance, I guess there might be tiny shifts of selected voxels in each leave-one-out run. Would a mean across runs still be a valid sensitivity? Any suggestions on that? Thanks again for your response! Best, Frank > Yeah the dot_prod is not that important. I just tried to get a little more > idea about how it works. > Have a nice weekend! U2 ;-) > Best, Frank -- Yaroslav Halchenko Research Assistant, Psychology Department, Rutgers-Newark Student Ph.D. @ CS Dept. NJIT Office: (973) 353-1412 | FWD: 82823 | Fax: (973) 353-1171 101 Warren Str, Smith Hall, Rm 4-105, Newark NJ 07102 WWW: http://www.linkedin.com/in/yarik _______________________________________________ Pkg-ExpPsy-PyMVPA mailing list [email protected] http://lists.alioth.debian.org/mailman/listinfo/pkg-exppsy-pymvpa --------------------------- Daqiang Sun Clinical Neuroscience Lab Department of Psychology UCLA --------------------------- _______________________________________________ Pkg-ExpPsy-PyMVPA mailing list [email protected] http://lists.alioth.debian.org/mailman/listinfo/pkg-exppsy-pymvpa
