Github user dbtsai commented on the pull request:
https://github.com/apache/spark/pull/1379#issuecomment-63906768
no, in the algorithm, I already model the problem
http://www.slideshare.net/dbtsai/2014-0620-mlor-36132297/24 , so there will
always be only (num_features + 1)(num_classes-1) parameters. Of course, you can
chose any transformation to make it over-parameterize, see `Properties of
softmax regression parameterization` session in wiki for detail.
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