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  1. Spark
  2. SPARK-9478

Add sample weights to Random Forest

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    Details

    • Type: Improvement
    • Status: Resolved
    • Priority: Major
    • Resolution: Fixed
    • Affects Version/s: 1.4.1
    • Fix Version/s: 3.0.0
    • Component/s: ML
    • Labels:
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      Description

      Currently, this implementation of random forest does not support sample (instance) weights. Weights are important when there is imbalanced training data or the evaluation metric of a classifier is imbalanced (e.g. true positive rate at some false positive threshold). Sample weights generalize class weights, so this could be used to add class weights later on.

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              • Assignee:
                podongfeng zhengruifeng
                Reporter:
                pcrenshaw Patrick Crenshaw
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                • Created:
                  Updated:
                  Resolved: