org.apache.mahout.classifier.mlp
Enum NeuralNetwork.TrainingMethod
java.lang.Object
java.lang.Enum<NeuralNetwork.TrainingMethod>
org.apache.mahout.classifier.mlp.NeuralNetwork.TrainingMethod
- All Implemented Interfaces:
- Serializable, Comparable<NeuralNetwork.TrainingMethod>
- Enclosing class:
- NeuralNetwork
public static enum NeuralNetwork.TrainingMethod
- extends Enum<NeuralNetwork.TrainingMethod>
GRADIENT_DESCENT
public static final NeuralNetwork.TrainingMethod GRADIENT_DESCENT
values
public static NeuralNetwork.TrainingMethod[] 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 (NeuralNetwork.TrainingMethod c : NeuralNetwork.TrainingMethod.values())
System.out.println(c);
- Returns:
- an array containing the constants of this enum type, in
the order they are declared
valueOf
public static NeuralNetwork.TrainingMethod valueOf(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:
IllegalArgumentException
- if this enum type has no constant
with the specified name
NullPointerException
- if the argument is null
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