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com.microsoft.ml.spark.automl

EvaluationUtils

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object EvaluationUtils

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  1. final def !=(arg0: Any): Boolean

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  2. final def ##(): Int

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  3. final def ==(arg0: Any): Boolean

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  4. val ModelTypeUnsupportedErr: String

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  5. final def asInstanceOf[T0]: T0

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  6. def clone(): AnyRef

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  9. def finalize(): Unit

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  10. final def getClass(): Class[_]

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  11. def getMetricWithOperator(modelType: String, evaluationMetric: String): (String, Ordering[Double])

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  12. def getMetricWithOperator(model: PipelineStage, evaluationMetric: String): (String, Ordering[Double])

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  13. def getModelParams(model: Transformer): ParamMap

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  14. def getModelType(model: PipelineStage): String

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  15. def hashCode(): Int

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  16. final def isInstanceOf[T0]: Boolean

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  17. def modelParamsToString(model: Transformer): String

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    Returns a string representation of the model.

    Returns a string representation of the model.

    model

    The model output by TrainClassifier or TrainRegressor

    returns

    A comma delimited representation of the model parameter names and values

  18. final def ne(arg0: AnyRef): Boolean

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  19. final def notify(): Unit

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  20. final def notifyAll(): Unit

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  21. final def synchronized[T0](arg0: ⇒ T0): T0

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  22. def toString(): String

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  23. final def wait(): Unit

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  24. final def wait(arg0: Long, arg1: Int): Unit

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  25. final def wait(arg0: Long): Unit

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