Class

org.pmml4s.model

NeuralInputs

Related Doc: package model

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class NeuralInputs extends PmmlElement

An input neuron represents the normalized value for an input field. A numeric input field is usually mapped to a single input neuron while a categorical input field is usually mapped to a set of input neurons using some fan-out function. The normalization is defined using the elements NormContinuous and NormDiscrete defined in the Transformation Dictionary. The element DerivedField is the general container for these transformations.

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PmmlElement, Serializable, Serializable, HasExtensions, AnyRef, Any
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Instance Constructors

  1. new NeuralInputs(neuralInputs: Array[NeuralInput], numberOfInputs: Option[Int])

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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 extensions: Seq[Extension]

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

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  10. def hasExtensions: Boolean

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  11. def hashCode(): Int

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  12. final def isInstanceOf[T0]: Boolean

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

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  14. val neuralInputs: Array[NeuralInput]

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  15. final def notify(): Unit

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  16. final def notifyAll(): Unit

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  17. val numberOfInputs: Option[Int]

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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(arg0: Long, arg1: Int): Unit

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

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  22. final def wait(): Unit

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Deprecated Value Members

  1. def finalize(): Unit

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    Deprecated

    (Since version ) see corresponding Javadoc for more information.

Inherited from PmmlElement

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Inherited from HasExtensions

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