Enum Class LossFunction

java.lang.Object
java.lang.Enum<LossFunction>
com.logicaldoc.ai.neural.LossFunction
All Implemented Interfaces:
Serializable, Comparable<LossFunction>, Constable

public enum LossFunction extends Enum<LossFunction>
The available loss functions for the neural network losses calculation.
  • MSE: Mean Squared Error: Linear Regression
  • XENT: Cross Entropy: Binary Classification
  • MCXENT: Multiclass Cross Entropy
  • SQUARED_LOSS: Squared Loss
  • NEGATIVELOGLIKELIHOOD: Negative Log Likelihood
Since:
9.2
Author:
Marco Meschieri - LogicalDOC
  • Enum Constant Details

  • Method Details

    • values

      public static LossFunction[] values()
      Returns an array containing the constants of this enum class, in the order they are declared.
      Returns:
      an array containing the constants of this enum class, in the order they are declared
    • valueOf

      public static LossFunction valueOf(String name)
      Returns the enum constant of this class with the specified name. The string must match exactly an identifier used to declare an enum constant in this class. (Extraneous whitespace characters are not permitted.)
      Parameters:
      name - the name of the enum constant to be returned.
      Returns:
      the enum constant with the specified name
      Throws:
      IllegalArgumentException - if this enum class has no constant with the specified name
      NullPointerException - if the argument is null