2012/7/10 Andreas Mueller <[email protected]>: > Hi Emanuel. > Is there a reason not to train multinomial logistic regression > (other than that it is not finished yet) ? > I think it would be more straight-forward and any help > on the multinomial logistic regression would be great > (I'm very busy at the moment unfortunately).
One reason could be scalability w.r.t. the number of classes as for One vs Rest, each class can be treated as a binary classification problem and the weights trained independently (e.g. distributed on a cluster) and only the final probability calibration weights (which are much fewer) need access to the complete weight matrix (in readonly mode) at once. -- Olivier http://twitter.com/ogrisel - http://github.com/ogrisel ------------------------------------------------------------------------------ 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
