[
https://issues.apache.org/jira/browse/SPARK-16719?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15393075#comment-15393075
]
Apache Spark commented on SPARK-16719:
--------------------------------------
User 'jkbradley' has created a pull request for this issue:
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
>
> 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.
--
This message was sent by Atlassian JIRA
(v6.3.4#6332)
---------------------------------------------------------------------
To unsubscribe, e-mail: [email protected]
For additional commands, e-mail: [email protected]
