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https://issues.apache.org/jira/browse/SPARK-6346?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14516069#comment-14516069
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Joseph K. Bradley commented on SPARK-6346:
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[~rezazadeh] I just updated the target version, but let me know if you had
other plans.
> 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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