hex.deeplearning

Enum DeepLearningModel.DeepLearningParameters.Loss

java.lang.Object

java.lang.Enum<DeepLearningModel.DeepLearningParameters.Loss>

hex.deeplearning.DeepLearningModel.DeepLearningParameters.Loss

All Implemented Interfaces:

java.io.Serializable, java.lang.Comparable<DeepLearningModel.DeepLearningParameters.Loss>

Enclosing class:

DeepLearningModel.DeepLearningParameters

public static enum DeepLearningModel.DeepLearningParameters.Loss
extends java.lang.Enum<DeepLearningModel.DeepLearningParameters.Loss>

Loss functions Absolute, Quadratic, Huber, Quantile for regression Quadratic, ModifiedHuber or CrossEntropy for classification

Enum Constant Summary

Enum Constants

Enum Constant and Description
Absolute
Automatic
CrossEntropy
Huber
ModifiedHuber
Quadratic
Quantile

Method Summary

Methods

Modifier and Type	Method and Description
static DeepLearningModel.DeepLearningParameters.Loss	valueOf(java.lang.String name) Returns the enum constant of this type with the specified name.
static DeepLearningModel.DeepLearningParameters.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

Automatic

public static final DeepLearningModel.DeepLearningParameters.Loss Automatic

Quadratic

public static final DeepLearningModel.DeepLearningParameters.Loss Quadratic

CrossEntropy

public static final DeepLearningModel.DeepLearningParameters.Loss CrossEntropy

ModifiedHuber

public static final DeepLearningModel.DeepLearningParameters.Loss ModifiedHuber

Huber

public static final DeepLearningModel.DeepLearningParameters.Loss Huber

Absolute

public static final DeepLearningModel.DeepLearningParameters.Loss Absolute

Quantile

public static final DeepLearningModel.DeepLearningParameters.Loss Quantile

Method Detail

values

public static DeepLearningModel.DeepLearningParameters.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 (DeepLearningModel.DeepLearningParameters.Loss c : DeepLearningModel.DeepLearningParameters.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 DeepLearningModel.DeepLearningParameters.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