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Posted to issues@spark.apache.org by "Apache Spark (JIRA)" <ji...@apache.org> on 2015/08/17 21:00:47 UTC
[jira] [Assigned] (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:all-tabpanel ]
Apache Spark reassigned SPARK-10064:
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Assignee: Apache Spark
> 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: Apache Spark
>
> 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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