Dear all, I am attempting to train a classifier on trials of classes A and C and test the classifier on trials of classes B and D from a left out run (where B corresponds to A and D corresponds to C). I found an earlier message board post with a very helpful script to perform this kind of partitioning ( http://lists.alioth.debian.org/pipermail/pkg-exppsy-pymvpa/2013q1/002372.html).
I'm new to python and pymvpa and consequently I am stuck regarding how to implement this partitioning into a searchlight analysis. I thought that I would be able to use the chain node created in the script when defining the cross validation with: cvte = mv.CrossValidation(clf, chain) s1 = mv.sphere_searchlight(cvte, radius=3, postproc=mv.mean_sample(), nproc=1) res = s1(evds) However, I get an error of:"TypeError: argument of type 'NoneType' is not iterable." I'd appreciate any suggestions on where I'm going wrong. Thanks! Anthony
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