hi Joseph,
yes I would vote for it. More generally probability calibration has been
on the wish list for some time now. See this old PR that needs some
love:
https://github.com/scikit-learn/scikit-learn/pull/1176
any help on this one too is more than welcome.
Best,
Alex
LinearSVC does not have predict_proba() and predict_log_proba()
implementations, but SVC does. This is because liblinear does not
have calibrated probabilities as an option but libsvm does.
Would it be okay if I add a classifier mixin to core that adds Platt
Scaling into the LinearSVC? I already
