weka.dl4j.weightnoise

Class AbstractWeightNoise<T extends org.deeplearning4j.nn.conf.weightnoise.IWeightNoise>

java.lang.Object

weka.dl4j.weightnoise.AbstractWeightNoise<T>

Type Parameters:

T - Weight noise implementation

All Implemented Interfaces:

java.io.Serializable, weka.core.OptionHandler, ApiWrapper<T>

Direct Known Subclasses:

Disabled, DropConnect, WeightNoise

public abstract class AbstractWeightNoise<T extends org.deeplearning4j.nn.conf.weightnoise.IWeightNoise>
extends java.lang.Object
implements ApiWrapper<T>, weka.core.OptionHandler, java.io.Serializable

Abstract weight noise class.

See Also:

Serialized Form

Constructor Summary

Constructors

Constructor and Description
AbstractWeightNoise()

Method Summary

Modifier and Type	Method and Description
static AbstractWeightNoise<? extends org.deeplearning4j.nn.conf.weightnoise.IWeightNoise>	create(org.deeplearning4j.nn.conf.weightnoise.IWeightNoise newBackend) Create an API wrapped updater from a given updater object.
T	getBackend() Access the DL4J backend.
java.lang.String[]	getOptions() Gets the current settings of the Classifier.
java.util.Enumeration<weka.core.Option>	listOptions() Returns an enumeration describing the available options.
void	setBackend(T newBackend) Set the DL4J backend.
void	setOptions(java.lang.String[] options) Parses a given list of options.

Methods inherited from class java.lang.Object

equals, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

Methods inherited from interface weka.dl4j.ApiWrapper

initializeBackend

Methods inherited from interface weka.core.OptionHandler

makeCopy

Constructor Detail

AbstractWeightNoise

public AbstractWeightNoise()

Method Detail

create

public static AbstractWeightNoise<? extends org.deeplearning4j.nn.conf.weightnoise.IWeightNoise> create(org.deeplearning4j.nn.conf.weightnoise.IWeightNoise newBackend)

Create an API wrapped updater from a given updater object.

Parameters:

newBackend - Backend object

Returns:

API wrapped object

getBackend

public T getBackend()

Description copied from interface: ApiWrapper

Access the DL4J backend.

Specified by:

getBackend in interface ApiWrapper<T extends org.deeplearning4j.nn.conf.weightnoise.IWeightNoise>

Returns:

DL4J backend for this wrapper

setBackend

public void setBackend(T newBackend)

Description copied from interface: ApiWrapper

Set the DL4J backend.

Specified by:

setBackend in interface ApiWrapper<T extends org.deeplearning4j.nn.conf.weightnoise.IWeightNoise>

Parameters:

newBackend - Backend that should be wrapped by this class

listOptions

public java.util.Enumeration<weka.core.Option> listOptions()

Returns an enumeration describing the available options.

Specified by:

listOptions in interface weka.core.OptionHandler

Returns:

an enumeration of all the available options.

getOptions

public java.lang.String[] getOptions()

Gets the current settings of the Classifier.

Specified by:

getOptions in interface weka.core.OptionHandler

Returns:

an array of strings suitable for passing to setOptions

setOptions

public void setOptions(java.lang.String[] options)
                throws java.lang.Exception

Parses a given list of options.

Specified by:

setOptions in interface weka.core.OptionHandler

Parameters:

options - the list of options as an array of strings

Throws:

java.lang.Exception - if an option is not supported