Github user WeichenXu123 commented on the issue:
https://github.com/apache/spark/pull/13796
@dbtsai
in this jira
https://issues.apache.org/jira/browse/SPARK-17163
it consider to unify interface for binary logistic regression and softmax.
but I think they are not equivalent in fact (when numClass == 2).
I think the better way is:
1. extend the binary logistic regression to numClass > 2 cases, but
optimize it on (numClass-1) parameters.
2. modify the softmax reg==0 case computation, use the way described in `1`
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