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Posted to issues@spark.apache.org by "Joseph K. Bradley (JIRA)" <ji...@apache.org> on 2015/10/06 23:30:28 UTC
[jira] [Commented] (SPARK-10064) Decision tree continuous feature
binning is slow in large feature spaces
[ https://issues.apache.org/jira/browse/SPARK-10064?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14945854#comment-14945854 ]
Joseph K. Bradley commented on SPARK-10064:
-------------------------------------------
Setting to Minor since this is a small part of the training time
> Decision tree continuous feature binning is slow in large feature spaces
> ------------------------------------------------------------------------
>
> Key: SPARK-10064
> URL: https://issues.apache.org/jira/browse/SPARK-10064
> Project: Spark
> Issue Type: Improvement
> Components: MLlib
> Affects Versions: 1.4.1
> Reporter: Nathan Howell
> Assignee: Nathan Howell
> Priority: Minor
>
> When working with large feature spaces and high bin counts (>500) the binning process can take many hours. This is particularly painful because it ties up executors for the duration, which is not shared-cluster friendly.
> The binning process can and should be performed on the executors instead of the driver.
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