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Posted to issues@spark.apache.org by "Joseph K. Bradley (JIRA)" <ji...@apache.org> on 2014/09/29 20:29:34 UTC

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

Joseph K. Bradley created SPARK-3724:
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             Summary: 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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