Hi everybody. I just stumbled across an issue that comes up in the OutputCode classifier. It may happen that a dataset is passed through that only has one class. This leads to numeric issues in naive Bayes down the road.
I feel that if a classifier is given only one class, it should somehow complain and not try to train. What do you think about that? Should all classifiers check their input in this way? Or do we just try to fit the classifier any way? Cheers, Andy ------------------------------------------------------------------------------ Live Security Virtual Conference Exclusive live event will cover all the ways today's security and threat landscape has changed and how IT managers can respond. Discussions will include endpoint security, mobile security and the latest in malware threats. http://www.accelacomm.com/jaw/sfrnl04242012/114/50122263/ _______________________________________________ Scikit-learn-general mailing list [email protected] https://lists.sourceforge.net/lists/listinfo/scikit-learn-general
