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Posted to issues@spark.apache.org by "Nathan Howell (JIRA)" <ji...@apache.org> on 2015/08/17 20:45:46 UTC

[jira] [Created] (SPARK-10064) Decision tree continuous feature binning is slow in large feature spaces

Nathan Howell created SPARK-10064:
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             Summary: 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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