sample_weights in scikit-learn comes from a libsvm patch: http://www.csie.ntu.edu.tw/~cjlin/libsvmtools/#weights_for_data_instances
So it would seem like probability calibration was omitted from this patch :-( When our calibration module is ready, we could handle the calibration post-processing ourselves in pure Python. Could you report an issue? Mathieu On Wed, Aug 13, 2014 at 3:33 AM, Peter Prettenhofer < peter.prettenho...@gmail.com> wrote: > SVC doesnt take class/sample weights into account when calibrating > probabilities -- this seems to be a bug to me... > > > https://github.com/scikit-learn/scikit-learn/blob/master/sklearn/svm/src/libsvm/svm.cpp#L1895 > > best, > Peter > > -- > Peter Prettenhofer > > > ------------------------------------------------------------------------------ > > _______________________________________________ > Scikit-learn-general mailing list > Scikit-learn-general@lists.sourceforge.net > https://lists.sourceforge.net/lists/listinfo/scikit-learn-general > >
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