Trait

org.apache.flink.ml.pipeline

PredictDataSetOperation

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trait PredictDataSetOperation[Self, Testing, Prediction] extends Serializable

Type class for the predict operation of Predictor. This predict operation works on DataSets.

Predictors either have to implement this trait or the PredictOperation trait. The implementation has to be made available as an implicit value or function in the scope of their companion objects.

The first type parameter is the type of the implementing Predictor class so that the Scala compiler includes the companion object of this class in the search scope for the implicit values.

Self

Type of Predictor implementing class

Testing

Type of testing data

Prediction

Type of predicted data

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Abstract Value Members

  1. abstract def predictDataSet(instance: Self, predictParameters: ParameterMap, input: DataSet[Testing]): DataSet[Prediction]

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    Calculates the predictions for all elements in the DataSet input

    Calculates the predictions for all elements in the DataSet input

    instance

    The Predictor instance that we will use to make the predictions

    predictParameters

    The parameters for the prediction

    input

    The DataSet containing the unlabeled examples

Concrete 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. def clone(): AnyRef

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

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  7. def equals(arg0: Any): Boolean

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  8. def finalize(): Unit

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

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  10. def hashCode(): Int

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  11. final def isInstanceOf[T0]: Boolean

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

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  13. final def notify(): Unit

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  14. final def notifyAll(): Unit

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

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  16. def toString(): String

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  17. final def wait(): Unit

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

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

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