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https://issues.apache.org/jira/browse/SPARK-1229?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Sean Owen resolved SPARK-1229.
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Resolution: Not a Problem
If I may be so bold: generally, you train on lots of data, so an RDD makes more
sense than an Array as training input. That said, you can always parallelize an
Array as an RDD and train on it, which is most of the use case here. If you
really mean you need a sample method that returns an RDD, yes that exists as
you see.
> train on array (in addition to RDD)
> -----------------------------------
>
> Key: SPARK-1229
> URL: https://issues.apache.org/jira/browse/SPARK-1229
> Project: Spark
> Issue Type: Story
> Components: MLlib
> Reporter: Arshak Navruzyan
>
> since predict method accepts either RDD or Array for consistency so should
> train. (particularly since RDD.takeSample() returns Array)
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