[
https://issues.apache.org/jira/browse/SPARK-15027?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]
Xiangrui Meng updated SPARK-15027:
----------------------------------
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`.
--
This message was sent by Atlassian JIRA
(v6.3.4#6332)
---------------------------------------------------------------------
To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org
For additional commands, e-mail: issues-h...@spark.apache.org
