[jira] [Updated] (SPARK-11696) MLlib:Optimization - Extend optimizer output for GradientDescent and LBFGS

["Narine Kokhlikyan (JIRA)" <ji...@apache.org>]

     [ https://issues.apache.org/jira/browse/SPARK-11696?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Narine Kokhlikyan updated SPARK-11696:
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    Summary: MLlib:Optimization - Extend optimizer output for GradientDescent and LBFGS  (was: MLLIB:Optimization - Extend optimizer output for GradientDescent and LBFGS)

> MLlib:Optimization - Extend optimizer output for GradientDescent and LBFGS
> --------------------------------------------------------------------------
>
>                 Key: SPARK-11696
>                 URL: https://issues.apache.org/jira/browse/SPARK-11696
>             Project: Spark
>          Issue Type: Improvement
>          Components: ML, MLlib
>    Affects Versions: 1.6.0
>            Reporter: Narine Kokhlikyan
>
> Hi there,
> in current implementation the Optimization:optimize() method returns only the weights for the features. 
> However, we could make it more transparent and provide more parameters about the optimization, e.g. number of iteration, error, etc.
> As discussed in bellow jira, this will be useful: 
> https://issues.apache.org/jira/browse/SPARK-5575
> What do you think ?
> Thanks,
> Narine



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