Github user jkbradley commented on the issue:
https://github.com/apache/spark/pull/17862
Catching up here... To make sure I caught the decisions made in the
discussion above, is it correct that this PR will:
* Add support for squared hinge loss, and use that as the default (which I
fully support)
* Switch from OWLQN to LBFGS (which is fine with me if reasonably
large-scale tests support that choice)
* On this note, has anyone tested on large-scale datasets (ideally with
millions of rows and columns)?
If those are the decisions, can you please update the PR description and
JIRA as such when you update the PR @hhbyyh ? Thank you!
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