>> Yes, the score_func option is intended exactly for this purpose. > The problem I have with it is that my score function is defined in > terms of the probabilistic outcome of the classifier (i.e. > predict_proba) whereas the score_func's caller pass it the predicted > class (i.e. the outcome of predict). > > Is there a workaround for that, or is that a case where subclassing is > needed, as I had concluded before? You are right, there is no good solution for that at the moment. We are working on it, though. In particular I'm trying to get AUC to work with cross-validation. So stay tuned ;)
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