[ https://issues.apache.org/jira/browse/SPARK-15027?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Xiangrui Meng updated SPARK-15027: ---------------------------------- Description: 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. (was: 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`.) > 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. -- 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