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https://issues.apache.org/jira/browse/SPARK-3380?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Joseph K. Bradley updated SPARK-3380:
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Priority: Minor (was: Major)
> DecisionTree: overflow and precision in aggregation
> ---------------------------------------------------
>
> Key: SPARK-3380
> URL: https://issues.apache.org/jira/browse/SPARK-3380
> Project: Spark
> Issue Type: Improvement
> Components: MLlib
> Affects Versions: 1.1.0
> Reporter: Joseph K. Bradley
> Priority: Minor
>
> DecisionTree does not check for overflows or loss of precision while
> aggregating sufficient statistics (binAggregates). It uses Double, which may
> be a problem for DecisionTree regression since the variance calculation could
> blow up. At the least, it could check for overflow and renormalize as needed.
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