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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] [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=14700038#comment-14700038 ] 

Apache Spark commented on SPARK-10064:
--------------------------------------

User 'NathanHowell' has created a pull request for this issue:
https://github.com/apache/spark/pull/8246

> 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
>
> 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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