Github user lkhamsurenl commented on the pull request:
https://github.com/apache/spark/pull/8609#issuecomment-140621230
Sorry for the late response! I see what you're saying. The difficulty with
that approach I am having is in inside def binSeqOp(agg:
Array[DTStatsAggregator], baggedPoint: BaggedPoint[TreePoint]):
Array[DTStatsAggregator], where the function is called: treeToNodeToIndexInfo:
Map[Int, Map[Int, NodeIndexInfo]] uses nodeIndex to get the NodeInfoIndex,
which requires us to know the nodeIndex. If we convert the LearningNode to
Node then implement the predictImpl() there is no nodeIndex I believe.
Correct me if I'm wrong
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