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Enum NeuralNet.Loss

java.lang.Object

java.lang.Enum<NeuralNet.Loss>

hex.NeuralNet.Loss

All Implemented Interfaces:

java.io.Serializable, java.lang.Comparable<NeuralNet.Loss>

Enclosing class:

NeuralNet

public static enum NeuralNet.Loss
extends java.lang.Enum<NeuralNet.Loss>

Loss functions CrossEntropy is recommended

Enum Constant Summary

Enum Constants

Enum Constant and Description
CrossEntropy
MeanSquare

Method Summary

Methods

Modifier and Type	Method and Description
static NeuralNet.Loss	valueOf(java.lang.String name) Returns the enum constant of this type with the specified name.
static NeuralNet.Loss[]	values() Returns an array containing the constants of this enum type, in the order they are declared.

Methods inherited from class java.lang.Enum

clone, compareTo, equals, finalize, getDeclaringClass, hashCode, name, ordinal, toString, valueOf

Methods inherited from class java.lang.Object

getClass, notify, notifyAll, wait, wait, wait

Enum Constant Detail

MeanSquare

public static final NeuralNet.Loss MeanSquare

CrossEntropy

public static final NeuralNet.Loss CrossEntropy

Method Detail

values

public static NeuralNet.Loss[] values()

Returns an array containing the constants of this enum type, in the order they are declared. This method may be used to iterate over the constants as follows:

for (NeuralNet.Loss c : NeuralNet.Loss.values())
    System.out.println(c);

Returns:

an array containing the constants of this enum type, in the order they are declared

valueOf

public static NeuralNet.Loss valueOf(java.lang.String name)

Returns the enum constant of this type with the specified name. The string must match exactly an identifier used to declare an enum constant in this type. (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:

java.lang.IllegalArgumentException - if this enum type has no constant with the specified name

java.lang.NullPointerException - if the argument is null