Hi,
(Newbie alert, first of all!)
I was wondering whether I could use scikit-learn for GaussianProcess
multiple class classification. I guess that this has to go through a one vs
rest algorithm (example here: <http://gist.github.com/3371088>) but this
fails with the following error:
ValueError: The base estimator should implement decision_function or
predict_proba!
So, the GaussianProcess class does not have a decision_function or
predict_proba. Using e.g. svm.SVC works as expected:
classif = OneVsRestClassifier(svm.SVC(gamma=0.001)) #say
as this method implements eg the predict_proba method
Or am I missing something really basic here?
Thanks!
J
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