weka.dl4j.enums

Enum GradientNormalization

java.lang.Object

java.lang.Enum<GradientNormalization>

weka.dl4j.enums.GradientNormalization

All Implemented Interfaces:

java.io.Serializable, java.lang.Comparable<GradientNormalization>, ApiWrapper<org.deeplearning4j.nn.conf.GradientNormalization>

public enum GradientNormalization
extends java.lang.Enum<GradientNormalization>
implements ApiWrapper<org.deeplearning4j.nn.conf.GradientNormalization>

Proxy Enum for GradientNormalization. This is necessary as Weka's run script cannot find the enum classes during the option parsing as they reside in the Dl4j backend and are at that time not visible to the class loader.

Enum Constant Summary

Enum Constants

Enum Constant and Description
ClipElementWiseAbsoluteValue
ClipL2PerLayer
ClipL2PerParamType
None
RenormalizeL2PerLayer
RenormalizeL2PerParamType

Method Summary

Modifier and Type	Method and Description
static GradientNormalization	fromBackend(org.deeplearning4j.nn.conf.GradientNormalization gradientNormalization) Parse backend gradient normalization and return weka enum implementation.
org.deeplearning4j.nn.conf.GradientNormalization	getBackend() Access the DL4J backend.
void	initializeBackend() Initialize the DL4J backend.
void	setBackend(org.deeplearning4j.nn.conf.GradientNormalization newBackend) Set the DL4J backend.
static GradientNormalization	valueOf(java.lang.String name) Returns the enum constant of this type with the specified name.
static GradientNormalization[]	values() Returns an array containing the constants of this enum type, in the order they are declared.

Methods inherited from class java.lang.Enum

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

Methods inherited from class java.lang.Object

getClass, notify, notifyAll, wait, wait, wait

Enum Constant Detail

None

public static final GradientNormalization None

RenormalizeL2PerLayer

public static final GradientNormalization RenormalizeL2PerLayer

RenormalizeL2PerParamType

public static final GradientNormalization RenormalizeL2PerParamType

ClipElementWiseAbsoluteValue

public static final GradientNormalization ClipElementWiseAbsoluteValue

ClipL2PerLayer

public static final GradientNormalization ClipL2PerLayer

ClipL2PerParamType

public static final GradientNormalization ClipL2PerParamType

Method Detail

values

public static GradientNormalization[] 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 (GradientNormalization c : GradientNormalization.values())
    System.out.println(c);

Returns:

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

valueOf

public static GradientNormalization 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

fromBackend

public static GradientNormalization fromBackend(org.deeplearning4j.nn.conf.GradientNormalization gradientNormalization)

Parse backend gradient normalization and return weka enum implementation.

Parameters:

gradientNormalization - GradientNormalization

Returns:

Weka gradient normalization enum implementation

getBackend

public org.deeplearning4j.nn.conf.GradientNormalization getBackend()

Description copied from interface: ApiWrapper

Access the DL4J backend.

Specified by:

getBackend in interface ApiWrapper<org.deeplearning4j.nn.conf.GradientNormalization>

Returns:

DL4J backend for this wrapper

setBackend

public void setBackend(org.deeplearning4j.nn.conf.GradientNormalization newBackend)

Description copied from interface: ApiWrapper

Set the DL4J backend.

Specified by:

setBackend in interface ApiWrapper<org.deeplearning4j.nn.conf.GradientNormalization>

Parameters:

newBackend - Backend that should be wrapped by this class

initializeBackend

public void initializeBackend()

Description copied from interface: ApiWrapper

Initialize the DL4J backend.

Specified by:

initializeBackend in interface ApiWrapper<org.deeplearning4j.nn.conf.GradientNormalization>