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