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Posted to issues@spark.apache.org by "Joseph K. Bradley (JIRA)" <ji...@apache.org> on 2015/04/24 21:22:39 UTC

[jira] [Created] (SPARK-7130) spark.ml RandomForest* should always do bootstrapping

Joseph K. Bradley created SPARK-7130:
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             Summary: spark.ml RandomForest* should always do bootstrapping
                 Key: SPARK-7130
                 URL: https://issues.apache.org/jira/browse/SPARK-7130
             Project: Spark
          Issue Type: Improvement
          Components: ML
    Affects Versions: 1.4.0
            Reporter: Joseph K. Bradley
            Priority: Minor


Currently, spark.ml RandomForest does not do bootstrapping if numTrees = 1.  For consistency and a simpler API, it should always do bootstrapping.  The current behavior is an artifact of the old API, in which RandomForest and DecisionTree share the same implementation.  This change should happen after the implementation is moved to spark.ml (which we need to do so that the implementation can be generalized).



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