Github user WeichenXu123 commented on the issue:
https://github.com/apache/spark/pull/14276
@srowen
I re-think the code again and maybe my previous idea is wrong. The
intension of author may be to use w[i] / featuresStd[i] to reduce penalty on
large scale dimension (because these dimension's w[i] is dominant to training
result) so that it can speed up the training.
So I close this PR and I need more thinking. Thanks for review!
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