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

["Bill Chambers (JIRA)" <ji...@apache.org>]

    [ https://issues.apache.org/jira/browse/SPARK-7130?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14994307#comment-14994307 ] 

Bill Chambers commented on SPARK-7130:
--------------------------------------

Looking at this issue, the change needs to occur within the [RandomForest File|https://github.com/apache/spark/blob/master/mllib/src/main/scala/org/apache/spark/ml/tree/impl/RandomForest.scala]

Specifically around [lines 88|https://github.com/apache/spark/blob/master/mllib/src/main/scala/org/apache/spark/ml/tree/impl/RandomForest.scala#L88] and 91.

I'd like to submit a pull request but want to make sure that there's nothing else I need to be aware of!

> 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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