[pymvpa] Results from individual folds
andersson.j.p at gmail.com
Tue Aug 11 09:05:07 UTC 2009
I am just getting started using PyMVPA so my question is very basic. I am
sure the answer must be available already but I just cant seem to find it.
Sorry about this, but I hope someone can help me out.
My question is how to get the classification results from the N individual
tests using the NFoldSplitter.
#Lets say I have a 10 chunks dataset 'ds' and run:
clf = FeatureSelectionClassifier(
enable_states = ['feature_ids'])
terr = TransferError(clf)
cvterr = CrossValidatedTransferError(terr,
error = cvterr(ds)
#If I now do:
#it gives me one confusion matrix which I guess is the mean one over all N
Any hints or help is much appreciated!
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