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

["Hyukjin Kwon (Jira)" <ji...@apache.org>]

     [ https://issues.apache.org/jira/browse/SPARK-18822?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Hyukjin Kwon resolved SPARK-18822.
----------------------------------
    Resolution: Incomplete

> 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
>            Priority: Major
>              Labels: bulk-closed
>
> 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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