Hi pyMVPA!
does anyone has ever tried to use one-class SVM (or other 1-class
classifier) in PyMVPA.
I tried using :
SVM(svm_impl='ONE_CLASS')
but I am not sure what are the targets supposed to be: boolean or {-1,1}
I do not know if the wrapper passes to training only the positive samples
or not? while in a cross-validation scheme we would test on full dataset to
find false-positives.
I also tried using sklearn.svm.OneClassSVM:
SKLLearnerAdapter(OneClassSVM(kernel='linear'))
I am specifically interested in classifying a task vs. rest which is why I
aim at one-class.
Thanks for your advices or ideas.
Regards
basile
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