Github user MLnick commented on the pull request: https://github.com/apache/spark/pull/1518#issuecomment-51151194 This looks promising. FWIW, I support decoupling regularization from the raw gradient update and believe it is a good way to go - it will allow various update/learning rate schemes (adagrad, normalized adaptive gradient, etc) to be applied independent of the regularization.
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