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  1. Spark
  2. SPARK-3380

DecisionTree: overflow and precision in aggregation

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    • Improvement
    • Status: Resolved
    • Minor
    • Resolution: Incomplete
    • 1.1.0
    • None
    • MLlib

    Description

      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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          Umbrella - An overarching type made of sub-tasks SPARK-14045 DecisionTree improvement umbrella

          • Major - Major loss of function.
          • Resolved

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              Unassigned Unassigned
              josephkb Joseph K. Bradley
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                Created:
                Updated:
                Resolved: