Details
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Improvement
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Status: Closed
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Minor
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Resolution: Won't Fix
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1.4.0
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None
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None
Description
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).
Attachments
Issue Links
- is blocked by
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SPARK-7131 Move tree,forest implementation from spark.mllib to spark.ml
- Resolved