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Posted to issues@spark.apache.org by "Sandeep Singh (JIRA)" <ji...@apache.org> on 2016/11/11 00:49:58 UTC
[jira] [Commented] (SPARK-10628) Add support for arbitrary
RandomRDD generation to PySparkAPI
[ https://issues.apache.org/jira/browse/SPARK-10628?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15655691#comment-15655691 ]
Sandeep Singh commented on SPARK-10628:
---------------------------------------
[~holdenk] I'm interested in working on this, but have a question.
We need to provide an interface like `RandomDataGenerator` or into which we can pass lambda(not sure how we can state this way) so the question is how do we pass these to the RandomRDD on scala ?
> Add support for arbitrary RandomRDD generation to PySparkAPI
> ------------------------------------------------------------
>
> Key: SPARK-10628
> URL: https://issues.apache.org/jira/browse/SPARK-10628
> Project: Spark
> Issue Type: Improvement
> Components: MLlib, PySpark
> Reporter: holdenk
> Priority: Minor
>
> SPARK-2724 added support for specific RandomRDDs, add support for arbitrary Random RDD generation for feature parity with Scala.
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