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From "Xiangrui Meng (JIRA)" <j...@apache.org>
Subject [jira] [Commented] (SPARK-15027) ALS.train should use DataFrame instead of RDD
Date Sat, 30 Apr 2016 07:50:12 GMT

    [ https://issues.apache.org/jira/browse/SPARK-15027?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15265229#comment-15265229
] 

Xiangrui Meng commented on SPARK-15027:
---------------------------------------

No, just API change. I guess there are still gaps to use DataFrame for the implementation.
Maybe this is not urgent for 2.0 since ALS.train is a developer API.

> 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
>
> We should also update `ALS.train` to use `Dataset/DataFrame` instead of `RDD` to be consistent
with other APIs under spark.ml and it also leaves space for Tungsten-based optimization.



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