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Posted to issues@spark.apache.org by "Xiangrui Meng (JIRA)" <ji...@apache.org> on 2015/07/02 02:19:05 UTC

[jira] [Assigned] (SPARK-6805) ML Pipeline API in SparkR

     [ https://issues.apache.org/jira/browse/SPARK-6805?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Xiangrui Meng reassigned SPARK-6805:
------------------------------------

    Assignee: Xiangrui Meng

> ML Pipeline API in SparkR
> -------------------------
>
>                 Key: SPARK-6805
>                 URL: https://issues.apache.org/jira/browse/SPARK-6805
>             Project: Spark
>          Issue Type: Umbrella
>          Components: ML, SparkR
>            Reporter: Xiangrui Meng
>            Assignee: Xiangrui Meng
>
> SparkR was merged. So let's have this umbrella JIRA for the ML pipeline API in SparkR. The implementation should be similar to the pipeline API implementation in Python.



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