[
https://issues.apache.org/jira/browse/SPARK-20228?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16005844#comment-16005844
]
Hyukjin Kwon commented on SPARK-20228:
--------------------------------------
gentle ping [~Ansgar Schulze]
> Random Forest instable results depending on spark.executor.memory
> -----------------------------------------------------------------
>
> Key: SPARK-20228
> URL: https://issues.apache.org/jira/browse/SPARK-20228
> Project: Spark
> Issue Type: Bug
> Components: PySpark
> Affects Versions: 2.1.0
> Reporter: Ansgar Schulze
>
> If I deploy a random forrest modeling with example
> spark.executor.memory 20480M
> I got another result as if i depoy the modeling with
> spark.executor.memory 6000M
> I excpected the same results but different runtimes.
--
This message was sent by Atlassian JIRA
(v6.3.15#6346)
---------------------------------------------------------------------
To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org
For additional commands, e-mail: issues-h...@spark.apache.org
