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https://issues.apache.org/jira/browse/SPARK-16719?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Joseph K. Bradley resolved SPARK-16719.
---------------------------------------
       Resolution: Fixed
    Fix Version/s: 2.1.0

Issue resolved by pull request 14359
[https://github.com/apache/spark/pull/14359]

> RandomForest: communicate fewer trees on each iteration
> -------------------------------------------------------
>
>                 Key: SPARK-16719
>                 URL: https://issues.apache.org/jira/browse/SPARK-16719
>             Project: Spark
>          Issue Type: Improvement
>          Components: ML
>            Reporter: Joseph K. Bradley
>            Assignee: Joseph K. Bradley
>            Priority: Critical
>             Fix For: 2.1.0
>
>
> RandomForest currently sends the entire forest to each worker on each 
> iteration.  This is because (a) the node queue is FIFO and (b) the closure 
> references the entire array of trees ({{topNodes}}).  (a) causes RFs to 
> handle splits in many trees, especially early on in learning.  (b) sends all 
> trees explicitly.
> Proposal:
> (a) Change the RF node queue to be FILO, so that RFs tend to focus on 1 or a 
> few trees before focusing on others.
> (b) Change topNodes to pass only the trees required on that iteration.



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