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Posted to issues@spark.apache.org by "Xiangrui Meng (JIRA)" <ji...@apache.org> on 2016/04/30 09:51:12 UTC
[jira] [Comment Edited] (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:comment-tabpanel&focusedCommentId=15265229#comment-15265229 ]
Xiangrui Meng edited comment on SPARK-15027 at 4/30/16 7:50 AM:
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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.
was (Author: mengxr):
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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