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  1. Spark
  2. SPARK-20861

Pyspark CrossValidator & TrainValidationSplit should delegate parameter looping to estimators

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Details

    • Improvement
    • Status: Resolved
    • Minor
    • Resolution: Fixed
    • 2.1.1
    • 2.2.0, 2.3.0
    • ML, PySpark
    • None

    Description

      The CrossValidator & TrainValidationSplit should call estimator.fit with all their parameter maps instead of passing params one by one to fit. This behaviour would make Python spark more consistent with Scala spark and allow individual to parallelize or optimize for fitting over multiple parameter maps.

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            bago.amirbekian Bago Amirbekian
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