Github user jkbradley commented on the pull request:
https://github.com/apache/spark/pull/1290#issuecomment-67259839
I'd recommend specifying the optimization algorithm as a parameter to the
ANN, rather than having separate train() methods. That should make it easier
for users to swap out optimizers (e.g., if they pass in the optimizer as a
string to their script).
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