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From "Apache Spark (JIRA)" <j...@apache.org>
Subject [jira] [Assigned] (SPARK-17137) Add compressed support for multinomial logistic regression coefficients
Date Sat, 25 Mar 2017 04:20:42 GMT

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

Apache Spark reassigned SPARK-17137:
------------------------------------

    Assignee: Apache Spark  (was: Seth Hendrickson)

> 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: Apache Spark
>            Priority: Minor
>
> 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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