Github user yanboliang commented on the issue:
https://github.com/apache/spark/pull/17862
I'm in favor of discarding OWLQN. Take LiR or LoR as examples, if you
replace LBFGS with OWLQN for regression with L2 regularization, we can saw
OWLQN may converge faster than LBFGS in a certain case, but in most of the
cases, LBFGS is faster. But I'm still open to hear others' thought. Thanks.
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