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https://issues.apache.org/jira/browse/SPARK-16592?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Hyukjin Kwon updated SPARK-16592:
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Labels: bulk-closed (was: )
> Improving ml.Logistic Regression on speed and scalability
> ---------------------------------------------------------
>
> Key: SPARK-16592
> URL: https://issues.apache.org/jira/browse/SPARK-16592
> Project: Spark
> Issue Type: Improvement
> Components: ML
> Reporter: yuhao yang
> Priority: Major
> Labels: bulk-closed
>
> With the spreading application of Apache Spark* logistic regression, we've
> seen more and more requirements come up about improving the speed and
> scalability. Many suggestions and discussions have been evolving in the
> developer and user communities. While it may be difficult to find an
> optimization for all the cases, understanding the various scenarios and
> approaches will be important.
> As discussed with [~josephkb], this JIRA is created for discussion and
> collecting efforts on the optimization work of LR (logistic regression). All
> the ongoing related JIRA will be linked here, as well as new ideas and
> possibilities.
> Users are encouraged to share their experiences/expectations on LR and track
> the development status from the community. Developers can leverage the JIRA
> to browse existing efforts, make communication and introduce
> research/development resources.
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