I forgot to mention that I'm running the latest master branch on github. My machine is running Debian testing (64-bit).
Best, Per On Thu, Aug 18, 2011 at 10:26 PM, Per B. Sederberg <[email protected]> wrote: > Hi Folks! > > Long time no chat, but I hope all is well. I'm working on an analysis > that hinges on the weights assigned to each voxel to make the > classification. I figured the easy way to do this was with a > sensitivity analyzer as such: > > clfr = SMLR() > > sclf = SplitClassifier(clfr, > NFoldPartitioner(), > enable_ca=['stats']) > > print "Running CV" > analyzer = sclf.get_sensitivity_analyzer() > > senses = analyzer(dat) > > > The problem is that the dataset returned by analyzer has a vector of > weights for each class for each fold, but they are the same for each > fold, which I can't believe is correct. I get the same outcome with a > LinearSVMC classifier, so it's not an issue in one single classifier. > > Do we need to do a copy somewhere in there? > > Thanks for any tips, > Per > _______________________________________________ Pkg-ExpPsy-PyMVPA mailing list [email protected] http://lists.alioth.debian.org/cgi-bin/mailman/listinfo/pkg-exppsy-pymvpa
