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Posted to issues@spark.apache.org by "Apache Spark (JIRA)" <ji...@apache.org> on 2015/01/08 18:39:34 UTC

[jira] [Commented] (SPARK-4891) Add exponential, log normal, and gamma distributions to data generator to PySpark's MLlib

    [ https://issues.apache.org/jira/browse/SPARK-4891?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14269724#comment-14269724 ] 

Apache Spark commented on SPARK-4891:
-------------------------------------

User 'rnowling' has created a pull request for this issue:
https://github.com/apache/spark/pull/3955

> Add exponential, log normal, and gamma distributions to data generator to PySpark's MLlib
> -----------------------------------------------------------------------------------------
>
>                 Key: SPARK-4891
>                 URL: https://issues.apache.org/jira/browse/SPARK-4891
>             Project: Spark
>          Issue Type: New Feature
>          Components: PySpark
>    Affects Versions: 1.1.1
>            Reporter: RJ Nowling
>            Assignee: RJ Nowling
>            Priority: Minor
>
> [SPARK-4728] adds sampling from exponential, gamma, and log normal distributions to the Scala/Java MLlib APIs.  We need to add these functions to the PySpark MLlib API for parity.



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