trait DummyClassifierParams extends PredictorParams with HasTol
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- val constant: Param[Double]
param for the constant predicted by the predictor
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- def extractInstances(dataset: Dataset[_], validateInstance: (Instance) => Unit): RDD[Instance]
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- def extractInstances(dataset: Dataset[_]): RDD[Instance]
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- final def extractParamMap(): ParamMap
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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 getStrategy: String
- final def getTol: Double
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- final val labelCol: Param[String]
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- lazy val params: Array[Param[_]]
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- final val predictionCol: Param[String]
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- final def set(paramPair: ParamPair[_]): DummyClassifierParams.this.type
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- final def setDefault(paramPairs: ParamPair[_]*): DummyClassifierParams.this.type
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- final def setDefault[T](param: Param[T], value: T): DummyClassifierParams.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: "uniform", "prior", "constant". (default = uniform)
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- final val tol: DoubleParam
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- HasTol
- def validateAndTransformSchema(schema: StructType, fitting: Boolean, featuresDataType: DataType): StructType
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- final def wait(): Unit
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- final def wait(arg0: Long, arg1: Int): Unit
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- final def wait(arg0: Long): Unit
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