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Posted to issues@spark.apache.org by "Apache Spark (JIRA)" <ji...@apache.org> on 2016/03/28 01:28:26 UTC

[jira] [Assigned] (SPARK-3724) RandomForest: More options for feature subset size

     [ https://issues.apache.org/jira/browse/SPARK-3724?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Apache Spark reassigned SPARK-3724:
-----------------------------------

    Assignee:     (was: Apache Spark)

> RandomForest: More options for feature subset size
> --------------------------------------------------
>
>                 Key: SPARK-3724
>                 URL: https://issues.apache.org/jira/browse/SPARK-3724
>             Project: Spark
>          Issue Type: Improvement
>          Components: MLlib
>            Reporter: Joseph K. Bradley
>            Priority: Minor
>
> RandomForest currently supports using a few values for the number of features to sample per node: all, sqrt, log2, etc.  It should support any given value (to allow model search).
> Proposal: If the parameter for specifying the number of features per node is not recognized (as “all”, “sqrt”, etc.), then it will be parsed as a numerical value.  The value should be either (a) a real value in [0,1] specifying the fraction of features in each subset or (b) an integer value specifying the number of features in each subset.



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