[jira] [Commented] (SPARK-4728) Add exponential, log normal, and gamma distributions to data generator to MLlib

["Apache Spark (JIRA)" <ji...@apache.org>]

    [ https://issues.apache.org/jira/browse/SPARK-4728?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14242915#comment-14242915 ] 

Apache Spark commented on SPARK-4728:
-------------------------------------

User 'rnowling' has created a pull request for this issue:
https://github.com/apache/spark/pull/3680

> Add exponential, log normal, and gamma distributions to data generator to MLlib
> -------------------------------------------------------------------------------
>
>                 Key: SPARK-4728
>                 URL: https://issues.apache.org/jira/browse/SPARK-4728
>             Project: Spark
>          Issue Type: New Feature
>          Components: MLlib
>    Affects Versions: 1.1.0
>            Reporter: RJ Nowling
>            Priority: Minor
>
> MLlib supports sampling from normal, uniform, and Poisson distributions.  
> I'd like to add support for sampling from exponential, gamma, and log normal distributions, using the features of math3 like the other generators.
> Please assign this to me.



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