NeuralInputs

class NeuralInputs(val neuralInputs: Array[NeuralInput], val numberOfInputs: Option[Int]) 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.

trait Serializable
class Object
trait Matchable
class Any

Value members

Inherited methods

Inherited from:
HasExtensions
def hasExtensions: Boolean
Inherited from:
HasExtensions

Concrete fields

val numberOfInputs: Option[Int]