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  1. Spark
  2. SPARK-5436

Validate GradientBoostedTrees during training

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    Details

    • Type: Improvement
    • Status: Resolved
    • Priority: Major
    • Resolution: Fixed
    • Affects Version/s: 1.3.0
    • Fix Version/s: 1.4.0
    • Component/s: MLlib
    • Labels:
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    • Target Version/s:

      Description

      For Gradient Boosting, it would be valuable to compute test error on a separate validation set during training. That way, training could stop early based on the test error (or some other metric specified by the user).

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              • Assignee:
                MechCoder Manoj Kumar
                Reporter:
                josephkb Joseph K. Bradley
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                • Created:
                  Updated:
                  Resolved: