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https://issues.apache.org/jira/browse/SPARK-9963?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14703824#comment-14703824
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Luvsandondov Lkhamsuren commented on SPARK-9963:
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Thanks for the clarification! I see two possibilities, correct me if I'm wrong:
As of right now, we have binnedFeatures and splits when calling
predictNodeIndex.
1. predictImpl(feature: Vector) takes Vector feature therefore we can create a
feature from binnedFeatures and splits, then call predictImpl on the node.
2. create a another method predictImpl(binnedFeatures: Array[Int], splits:
Array[Array[Split]]) in Node class.
Did you have anything else in mind?
> ML RandomForest cleanup: replace predictNodeIndex with predictImpl
> ------------------------------------------------------------------
>
> Key: SPARK-9963
> URL: https://issues.apache.org/jira/browse/SPARK-9963
> Project: Spark
> Issue Type: Improvement
> Components: ML
> Reporter: Joseph K. Bradley
> Priority: Trivial
> Labels: starter
>
> Replace ml.tree.impl.RandomForest.predictNodeIndex with Node.predictImpl.
> This should be straightforward, but please ping me if anything is unclear.
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