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Posted to issues@spark.apache.org by "Hyukjin Kwon (JIRA)" <ji...@apache.org> on 2019/05/21 04:12:32 UTC
[jira] [Resolved] (SPARK-18131) Support returning Vector/Dense
Vector from backend
[ https://issues.apache.org/jira/browse/SPARK-18131?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Hyukjin Kwon resolved SPARK-18131.
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Resolution: Incomplete
> Support returning Vector/Dense Vector from backend
> --------------------------------------------------
>
> Key: SPARK-18131
> URL: https://issues.apache.org/jira/browse/SPARK-18131
> Project: Spark
> Issue Type: New Feature
> Components: SparkR
> Reporter: Miao Wang
> Priority: Major
> Labels: bulk-closed
>
> For `spark.logit`, there is a `probabilityCol`, which is a vector in the backend (scala side). When we do collect(select(df, "probabilityCol")), backend returns the java object handle (memory address). We need to implement a method to convert a Vector/Dense Vector column as R vector, which can be read in SparkR. It is a followup JIRA of adding `spark.logit`.
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