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Posted to issues@spark.apache.org by "Xiangrui Meng (JIRA)" <ji...@apache.org> on 2014/12/19 06:00:15 UTC

[jira] [Updated] (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:all-tabpanel ]

Xiangrui Meng updated SPARK-4891:
---------------------------------
    Assignee: RJ Nowling

> 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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