Enum Class LossType

java.lang.Object
java.lang.Enum<LossType>
deepnetts.net.loss.LossType
All Implemented Interfaces:
Serializable, Comparable<LossType>, Constable
public enum LossType extends Enum<LossType>
Supported types of Loss Functions in Deep Netts engine. Currently supported loss functions are Mean Squared Error (commonly used for regression) and Cross Entropy (commonly used for classification)
See Also:

  • Enum Constant Details

    • MEAN_SQUARED_ERROR

      public static final LossType MEAN_SQUARED_ERROR
      Mean Squared Error loss, used for regression tasks, implemented by MeanSquaredErrorLoss

    • CROSS_ENTROPY

      public static final LossType CROSS_ENTROPY
      Cross Entropy Loss, used for classificaton tasks, implemented by CrossEntropyLoss

  • Method Details

    • values

      public static LossType[] 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 LossType 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

    • equalsName

      public boolean equalsName(String otherName)

    • of

      public static LossType of(Class lossClass)

    • toString

      public String toString()
      Overrides:
      toString in class Enum<LossType>