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https://issues.apache.org/jira/browse/SPARK-15027?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Xiangrui Meng updated SPARK-15027:
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    Summary: ALS.train should use DataFrame instead of RDD  (was: ml.ALS params 
and ALS.train should not depend on RDD)

> ALS.train should use DataFrame instead of RDD
> ---------------------------------------------
>
>                 Key: SPARK-15027
>                 URL: https://issues.apache.org/jira/browse/SPARK-15027
>             Project: Spark
>          Issue Type: Improvement
>          Components: ML, PySpark
>    Affects Versions: 2.0.0
>            Reporter: Xiangrui Meng
>            Assignee: Xiangrui Meng
>
> This continue the work from SPARK-14412 to update 
> `intermediateRDDStorageLevel` to `intermediateStorageLevel`, and 
> `finalRDDStorageLevel` to `finalStoargeLevel`. We should also update 
> `ALS.train` to use `Dataset` instead of `RDD`.



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