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Posted to issues@spark.apache.org by "Joseph K. Bradley (JIRA)" <ji...@apache.org> on 2016/01/05 21:03:40 UTC
[jira] [Closed] (SPARK-11696) MLLIB:Optimization - Extend optimizer
output for GradientDescent and LBFGS
[ https://issues.apache.org/jira/browse/SPARK-11696?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Joseph K. Bradley closed SPARK-11696.
-------------------------------------
Resolution: Won't Fix
[~Narine] I just commented on your PR about this, but I'd like to close this and focus on the spark.ml DataFrame-based API instead. It'd be nice to get your feedback there, on separate JIRAs. Thank you!
> 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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