ChainedPredictor

Value Members

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. final def asInstanceOf[T0]: T0

   

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5. implicit def chainedEvaluationOperation[T <: Transformer[T], P <: Predictor[P], Testing, Intermediate, PredictionValue](implicit transformOperation: TransformDataSetOperation[T, Testing, Intermediate], evaluateOperation: EvaluateDataSetOperation[P, Intermediate, PredictionValue], testingTypeInformation: TypeInformation[Testing], predictionValueTypeInformation: TypeInformation[PredictionValue]): EvaluateDataSetOperation[ChainedPredictor[T, P], Testing, PredictionValue]

   

6. implicit def chainedFitOperation[L <: Transformer[L], R <: Predictor[R], I, T](implicit fitOperation: FitOperation[L, I], transformOperation: TransformDataSetOperation[L, I, T], predictorFitOperation: FitOperation[R, T]): FitOperation[ChainedPredictor[L, R], I]

   

   FitOperation for the ChainedPredictor.

   FitOperation for the ChainedPredictor.

   The FitOperation requires the FitOperation and the TransformDataSetOperation of the preceding Transformer as well as the FitOperation of the trailing Predictor. Upon calling fit, the preceding Transformer is first fitted to the training data. The training data is then transformed by the fitted Transformer. The transformed data is then used to fit the Predictor.

   L

   Type of the preceding Transformer

   R

   Type of the trailing Predictor

   I

   Type of the training data

   T

   Type of the intermediate data

   fitOperation

   FitOperation of the preceding Transformer

   transformOperation

   TransformDataSetOperation of the preceding Transformer

   predictorFitOperation

   PredictDataSetOperation of the trailing Predictor

7. implicit def chainedPredictOperation[T <: Transformer[T], P <: Predictor[P], Testing, Intermediate, Prediction](implicit transformOperation: TransformDataSetOperation[T, Testing, Intermediate], predictOperation: PredictDataSetOperation[P, Intermediate, Prediction]): PredictDataSetOperation[ChainedPredictor[T, P], Testing, Prediction]

   

   PredictDataSetOperation for the ChainedPredictor.

   PredictDataSetOperation for the ChainedPredictor.

   The PredictDataSetOperation requires the TransformDataSetOperation of the preceding Transformer and the PredictDataSetOperation of the trailing Predictor. Upon calling predict, the testing data is first transformed by the preceding Transformer and the result is then used to calculate the prediction via the trailing Predictor.

   T

   Type of the preceding Transformer

   P

   Type of the trailing Predictor

   Testing

   Type of the testing data

   Intermediate

   Type of the intermediate data produced by the preceding Transformer

   Prediction

   Type of the predicted data generated by the trailing Predictor

   transformOperation

   TransformDataSetOperation for the preceding Transformer

   predictOperation

   PredictDataSetOperation for the trailing Predictor

8. def clone(): AnyRef

   

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9. final def eq(arg0: AnyRef): Boolean

   

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10. def equals(arg0: Any): Boolean

    

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11. def finalize(): Unit

    

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

    

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13. def hashCode(): Int

    

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14. final def isInstanceOf[T0]: Boolean

    

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

    

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16. final def notify(): Unit

    

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17. final def notifyAll(): Unit

    

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

    

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19. def toString(): String

    

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20. final def wait(): Unit

    

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

    

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

    

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