[
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.
--
This message was sent by Atlassian JIRA
(v6.3.4#6332)
---------------------------------------------------------------------
To unsubscribe, e-mail: [email protected]
For additional commands, e-mail: [email protected]