class ScoreModel extends Transformer with ScoreParams
Implements the prediction transform. This transformer takes in a PMML model.
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clear(param: Param[_]): ScoreModel.this.type
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copy(extra: ParamMap): Transformer
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copyValues[T <: Params](to: T, extra: ParamMap): T
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extractParamMap(): ParamMap
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extractParamMap(extra: ParamMap): ParamMap
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getParam(paramName: String): Param[Any]
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def
getPredictionCol: String
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def
getPrependInputs: Boolean
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def
getSupplementOutput: Boolean
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log: Logger
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logDebug(msg: ⇒ String, throwable: Throwable): Unit
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logName: String
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logWarning(msg: ⇒ String, throwable: Throwable): Unit
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logWarning(msg: ⇒ String): Unit
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- val model: Model
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lazy val
params: Array[Param[_]]
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final
val
predictionCol: Param[String]
Param for prediction column name.
Param for prediction column name.
- Definition Classes
- ScoreParams
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final
val
prependInputs: BooleanParam
Param for whether to prepend the input cols to the output data.
Param for whether to prepend the input cols to the output data.
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- ScoreParams
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final
def
set(paramPair: ParamPair[_]): ScoreModel.this.type
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def
set(param: String, value: Any): ScoreModel.this.type
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def
set[T](param: Param[T], value: T): ScoreModel.this.type
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def
setDefault(paramPairs: ParamPair[_]*): ScoreModel.this.type
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def
setDefault[T](param: Param[T], value: T): ScoreModel.this.type
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- def setPredictionCol(value: String): ScoreModel.this.type
- def setPrependInputs(value: Boolean): ScoreModel.this.type
- def setSupplementOutput(value: Boolean): ScoreModel.this.type
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final
val
supplementOutput: BooleanParam
Param for whether to return those predefined output fields not exist in the Output element explicitly.
Param for whether to return those predefined output fields not exist in the Output element explicitly.
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- ScoreParams
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final
def
synchronized[T0](arg0: ⇒ T0): T0
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def
toString(): String
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def
transform(dataset: Dataset[_]): DataFrame
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- ScoreModel → Transformer
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def
transform(dataset: Dataset[_], paramMap: ParamMap): DataFrame
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def
transform(dataset: Dataset[_], firstParamPair: ParamPair[_], otherParamPairs: ParamPair[_]*): DataFrame
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def
transformSchema(schema: StructType): StructType
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- ScoreModel → PipelineStage
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def
transformSchema(schema: StructType, logging: Boolean): StructType
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val
uid: String
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def
wait(): Unit
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wait(arg0: Long, arg1: Int): Unit
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