On 06/16/2012 12:02 AM, Lars Buitinck wrote: > 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? > Maybe because it is not really meaningful? Would you do softmax there?
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