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https://issues.apache.org/jira/browse/SPARK-6346?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15682455#comment-15682455
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Nick Pentreath commented on SPARK-6346:
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I think we can close this ticket? It's pretty old, and everything in {{ml}}
that can use L-BFGS now does, yes?
> Use faster converging optimization method in MLlib
> --------------------------------------------------
>
> Key: SPARK-6346
> URL: https://issues.apache.org/jira/browse/SPARK-6346
> Project: Spark
> Issue Type: Improvement
> Components: ML, MLlib
> Reporter: Reza Zadeh
>
> According to experiments in SPARK-1503, the LBFGS algorithm converges much
> faster than our current proximal gradient, which is used throughout MLlib.
> This ticket is to track replacing slower-converging algorithms, with faster
> components e.g. LBFGS
> This needs unification of the Optimization interface. For example, the LBFGS
> implementation should not know about RDDs.
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