trait DummyRegressorParams extends PredictorParams with HasTol
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- val constant: Param[Double]
param for the constant predicted by the predictor
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- final def extractParamMap(extra: ParamMap): ParamMap
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- final val featuresCol: Param[String]
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- def getConstant: Double
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- final def getFeaturesCol: String
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- final def getLabelCol: String
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- final def getPredictionCol: String
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- def getQuantile: Double
- def getStrategy: String
- final def getTol: Double
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- lazy val params: Array[Param[_]]
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- final val predictionCol: Param[String]
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- val quantile: Param[Double]
param for the quantile estimated predicted by the predictor when strategy='quantile'
- final def set(paramPair: ParamPair[_]): DummyRegressorParams.this.type
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- final def setDefault(paramPairs: ParamPair[_]*): DummyRegressorParams.this.type
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- final def setDefault[T](param: Param[T], value: T): DummyRegressorParams.this.type
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- val strategy: Param[String]
strategy to use to generate predictions.
strategy to use to generate predictions. (case-insensitive) Supported: "mean", "median", "quantile", "constant". (default = mean)
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- final val tol: DoubleParam
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- def validateAndTransformSchema(schema: StructType, fitting: Boolean, featuresDataType: DataType): StructType
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- final def wait(): Unit
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