Packages

c

org.pmml4s.model

NeuralInputs

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.

Linear Supertypes
PmmlElement, Serializable, HasExtensions, AnyRef, Any
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  1. NeuralInputs
  2. PmmlElement
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Instance Constructors

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

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: AnyRef): Boolean
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  8. def extensions: Seq[Extension]
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  9. def finalize(): Unit
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    @throws(classOf[java.lang.Throwable])
  10. final def getClass(): Class[_ <: AnyRef]
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    @native()
  11. def hasExtensions: Boolean
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  12. def hashCode(): Int
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    @native()
  13. final def isInstanceOf[T0]: Boolean
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  14. final def ne(arg0: AnyRef): Boolean
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  15. val neuralInputs: Array[NeuralInput]
  16. final def notify(): Unit
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    @native()
  17. final def notifyAll(): Unit
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    AnyRef
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    @native()
  18. val numberOfInputs: Option[Int]
  19. final def synchronized[T0](arg0: => T0): T0
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  20. def toString(): String
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  21. final def wait(): Unit
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    @throws(classOf[java.lang.InterruptedException])
  22. final def wait(arg0: Long, arg1: Int): Unit
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    @throws(classOf[java.lang.InterruptedException])
  23. final def wait(arg0: Long): Unit
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Inherited from PmmlElement

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