[jira] [Resolved] (SPARK-17137) Add compressed support for multinomial logistic regression coefficients

["DB Tsai (JIRA)" <ji...@apache.org>]

     [ https://issues.apache.org/jira/browse/SPARK-17137?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

DB Tsai resolved SPARK-17137.
-----------------------------
       Resolution: Fixed
    Fix Version/s: 2.2.0

Issue resolved by pull request 17426
[https://github.com/apache/spark/pull/17426]

> Add compressed support for multinomial logistic regression coefficients
> -----------------------------------------------------------------------
>
>                 Key: SPARK-17137
>                 URL: https://issues.apache.org/jira/browse/SPARK-17137
>             Project: Spark
>          Issue Type: Sub-task
>          Components: ML
>            Reporter: Seth Hendrickson
>            Assignee: Seth Hendrickson
>            Priority: Minor
>             Fix For: 2.2.0
>
>
> For sparse coefficients in MLOR, such as when high L1 regularization, it may be more efficient to store coefficients in compressed format. We can add this option to MLOR and perhaps to do some performance tests to verify improvements.



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