You are viewing a plain text version of this content. The canonical link for it is here.
Posted to issues@spark.apache.org by "Xiangrui Meng (JIRA)" <ji...@apache.org> on 2016/04/30 09:48:12 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 ]
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-unsubscribe@spark.apache.org
For additional commands, e-mail: issues-help@spark.apache.org