[pymvpa] Sensitivities same for each fold?
Per B. Sederberg
psederberg at gmail.com
Fri Aug 19 02:26:12 UTC 2011
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,
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,
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