[jira] [Commented] (SPARK-18822) Support ML Pipeline in SparkR

["Joseph K. Bradley (JIRA)" <ji...@apache.org>]

    [ https://issues.apache.org/jira/browse/SPARK-18822?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15948045#comment-15948045 ] 

Joseph K. Bradley commented on SPARK-18822:
-------------------------------------------

Since 2.2 will be cut soon (I presume), I'm going to untarget this.  Felix, please retarget if you like.

> Support ML Pipeline in SparkR
> -----------------------------
>
>                 Key: SPARK-18822
>                 URL: https://issues.apache.org/jira/browse/SPARK-18822
>             Project: Spark
>          Issue Type: New Feature
>          Components: ML, SparkR
>            Reporter: Felix Cheung
>
> From Joseph Bradley:
> "
> Supporting Pipelines and advanced use cases: There really needs to be more design discussion around SparkR. Felix Cheung would you be interested in leading some discussion? I'm envisioning something similar to what was done a while back for Pipelines in Scala/Java/Python, where we consider several use cases of MLlib: fitting a single model, creating and tuning a complex Pipeline, and working with multiple languages. That should help inform what APIs should look like in Spark R.
> "
> Certain ML model, such as OneVsRest, is harder to represent in a single call R API. Having advanced API or Pipeline API like this could help to expose that to our users.



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