Github user debasish83 commented on the pull request:
https://github.com/apache/spark/pull/3890#issuecomment-98188550
@dlwh we should simply use your smooth max and make max(0, 1 - ya'x)
differentiable for the first version...that needs no change to breeze...and
then if needed we use the paepr...don't you have log sum exp f and grad already
implemented in breeze that can be used ? I can help with soft-max alpha tuning
if @loachli can put together the formulation in mllib...
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