[
https://issues.apache.org/jira/browse/SPARK-6346?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]
Sean Owen resolved SPARK-6346.
------------------------------
Resolution: Not A Problem
> 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.
--
This message was sent by Atlassian JIRA
(v6.3.4#6332)
---------------------------------------------------------------------
To unsubscribe, e-mail: [email protected]
For additional commands, e-mail: [email protected]
