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https://issues.apache.org/jira/browse/SPARK-3042?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Xiangrui Meng updated SPARK-3042:
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Assignee: Joseph K. Bradley
> DecisionTree filtering is very inefficient
> ------------------------------------------
>
> Key: SPARK-3042
> URL: https://issues.apache.org/jira/browse/SPARK-3042
> Project: Spark
> Issue Type: Improvement
> Components: MLlib
> Reporter: Joseph K. Bradley
> Assignee: Joseph K. Bradley
>
> DecisionTree needs to match each example to a node at each iteration. It
> currently does this with a set of filters very inefficiently: For each
> example, it examines each node at the current level and traces up to the root
> to see if that example should be handled by that node.
> Proposed fix: Filter top-down using the partly built tree itself.
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