Github user facaiy commented on the issue:
https://github.com/apache/spark/pull/17503
@srowen I am not sure whether I understand your question clearly.
RandomForest uses LearningNode to construct tree model when training, and
convert them to Leaf or InternalNode at last. Hence, all nodes are same type
and can be merged when training.
However, if two children of a node output same prediction, does the node
keep step with its children? I don't know.
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