[pymvpa] SVM RBF kernel parameters

[Eric Trautmann]

I've looked through the API documentation but there doesn't seem to be  
much info on parameter selection using the RBF kernel in a SVM  
classifier.  The literature suggests various heuristic or brute-force  
approaches for determining Gamma and C, though it's not clear to me if  
this happens during classifier training:

clf = RbfCSVMC()

cv = CrossValidatedTransferError(TransferError(clf),  
NFoldSplitter(cvtype=n), enable_states=['confusion', 'samples_error'])

cv(dataset)


When I run this code using default values of gamma or C, it generates  
a result, but shouldn't this parameter selection be part of classifier  
training?

thanks,
Eric