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Posted to issues@spark.apache.org by "Hyukjin Kwon (JIRA)" <ji...@apache.org> on 2019/05/21 04:23:19 UTC

[jira] [Updated] (SPARK-15027) ALS.train should use DataFrame instead of RDD

     [ https://issues.apache.org/jira/browse/SPARK-15027?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Hyukjin Kwon updated SPARK-15027:
---------------------------------
    Labels: bulk-closed  (was: )

> 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
>            Priority: Major
>              Labels: bulk-closed
>
> 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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