Class ExpNormalizer

All Implemented Interfaces:
Serializable, VectorNormalizer

public class ExpNormalizer extends Object implements VectorNormalizer, Serializable
Normalizes the exponential values of the input array. Used when the input is in log space.

a.k.a. SoftMax.

See Also:
  • Constructor Details

    • ExpNormalizer

      public ExpNormalizer()
  • Method Details

    • normalize

      public double[] normalize(double[] input)
      Description copied from interface: VectorNormalizer
      Normalizes the input array in some fashion specified by the class.
      Specified by:
      normalize in interface VectorNormalizer
      input - The input to normalize.
      The normalized array.
    • normalizeInPlace

      public void normalizeInPlace(double[] input)
      Description copied from interface: VectorNormalizer
      In place normalization of the array.

      Note: This default implementation performs a copy by calling the standard normalize method.

      Specified by:
      normalizeInPlace in interface VectorNormalizer
      input - The input to normalize.
    • exportNormalizer

      public ONNXNode exportNormalizer(ONNXNode input)
      Returns the ONNX softmax node over the 2nd dimension.
      Specified by:
      exportNormalizer in interface VectorNormalizer
      input - The node to be normalized according to this implementation.
      ONNX softmax node of input.