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

["Joseph K. Bradley (JIRA)" <ji...@apache.org>]

     [ https://issues.apache.org/jira/browse/SPARK-7130?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Joseph K. Bradley reassigned SPARK-7130:
----------------------------------------

    Assignee: Joseph K. Bradley

> 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
>            Assignee: 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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