2012/6/15 Peter Prettenhofer <[email protected]>: > Both are not proper multinomial logistic regression models; > LogisticRegression does not care and simply computes the probability > estimates of each OVR classifier and normalized to make sure they sum > to one. You could do the same for SGDClassifier(loss='log') but you > have to implement it on your own. You should be aware of the fact that > SGDClassifier(n_jobs > 1) uses multiple processes, thus, if your > dataset (``X``) is too large (more than 50% of your RAM) you'll run > into troubles.
Any reason why we haven't implemented "multiclass" (OvR) predict_proba on SGDClassifier? -- Lars Buitinck Scientific programmer, ILPS University of Amsterdam ------------------------------------------------------------------------------ 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
