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From "Felix Cheung (JIRA)" <j...@apache.org>
Subject [jira] [Commented] (SPARK-18822) Support ML Pipeline in SparkR
Date Sun, 11 Dec 2016 19:07:59 GMT

    [ https://issues.apache.org/jira/browse/SPARK-18822?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15740181#comment-15740181
] 

Felix Cheung commented on SPARK-18822:
--------------------------------------

I'll take a shot at this.

> 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.
> "



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