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  1. Spark
  2. SPARK-8484

Add TrainValidationSplit to ml.tuning

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    • New Feature
    • Status: Resolved
    • Critical
    • Resolution: Fixed
    • None
    • 1.5.0
    • ML
    • None

    Description

      Add TrainValidationSplit for hyper-parameter tuning. It randomly splits the input dataset into train and validation and use evaluation metric on the validation set to select the best model. It should be similar to CrossValidator, but simpler and less expensive.

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              zapletal-martin Martin Zapletal
              mengxr Xiangrui Meng
              Xiangrui Meng Xiangrui Meng
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