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Posted to issues@spark.apache.org by "Sean Owen (JIRA)" <ji...@apache.org> on 2016/03/23 11:20:25 UTC
[jira] [Resolved] (SPARK-14090) The optimization method of convex
function
[ https://issues.apache.org/jira/browse/SPARK-14090?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Sean Owen resolved SPARK-14090.
-------------------------------
Resolution: Invalid
It's not clear what you're talking about, but this is far from sufficient as a JIRA. Please start a discussion on user@ and describe much more clearly what you're talking about. Read https://cwiki.apache.org/confluence/display/SPARK/Contributing+to+Spark first
> The optimization method of convex function
> ------------------------------------------
>
> Key: SPARK-14090
> URL: https://issues.apache.org/jira/browse/SPARK-14090
> Project: Spark
> Issue Type: Task
> Components: MLlib, Optimizer
> Affects Versions: 2.1.0
> Reporter: chenalong
> Priority: Critical
> Labels: optimization
> Original Estimate: 1,344h
> Remaining Estimate: 1,344h
>
> From now, The optimization method of convex function in MLlib is not enough. The SGD and ALS method are slow compare with bundle method.so can we realize this method in spark?
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