On Thu, Jul 30, 2015 at 11:38 PM, Andreas Mueller <t3k...@gmail.com> wrote:
> I am mostly concerned about API explosion. > I take your point of PDF vs PMF. > Maybe predict_proba(X, y) is better. > Would you also support predict_proba(X, y) for classifiers (which would be > predict_proba(X)[np.arange(len(y)), y]) ? > That could indeed be a good idea for consistency between classifiers and regressors. For Poisson regression, if y is not passed, i.e., if predict_proba(X, y=None) is used, we could possibly use np.unique(y_train) by default. This is obviously not possible for GPs, though.
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