Dear all, I was trying to write a generic EM meta-estimator for PU (positive/unlabeled) learning and I wondered if, in your opinion, it's a valid choice to base the stopping criterion on the output of predict_proba instead of inspection of the underlying object. Can someone shed some light and whether this is a good idea?
TIA, Lars -- Lars Buitinck Scientific programmer, ILPS University of Amsterdam ------------------------------------------------------------------------------ All of the data generated in your IT infrastructure is seriously valuable. Why? It contains a definitive record of application performance, security threats, fraudulent activity, and more. Splunk takes this data and makes sense of it. IT sense. And common sense. http://p.sf.net/sfu/splunk-d2dcopy2 _______________________________________________ Scikit-learn-general mailing list [email protected] https://lists.sourceforge.net/lists/listinfo/scikit-learn-general
