weka.dl4j.updater

Class AdaDelta

java.lang.Object

weka.dl4j.updater.Updater<org.nd4j.linalg.learning.config.AdaDelta>

weka.dl4j.updater.AdaDelta

All Implemented Interfaces:

java.io.Serializable, weka.core.OptionHandler, ApiWrapper<org.nd4j.linalg.learning.config.AdaDelta>

public class AdaDelta
extends Updater<org.nd4j.linalg.learning.config.AdaDelta>

A WEKA version of DeepLearning4j's AdaDelta.

See Also:

Serialized Form

Constructor Summary

Constructors

Constructor and Description
AdaDelta()

Method Summary

Modifier and Type	Method and Description
double	getEpsilon()
double	getLearningRate() Get the learning rate
java.lang.String[]	getOptions() Gets the current settings of the Classifier.
double	getRho()
boolean	hasLearningRate()
void	initializeBackend() Initialize the DL4J backend.
java.util.Enumeration<weka.core.Option>	listOptions() Returns an enumeration describing the available options.
void	setEpsilon(double epsilon)
void	setLearningRate(double learningRate) Set the learning rate
void	setOptions(java.lang.String[] options) Parses a given list of options.
void	setRho(double rho)

Methods inherited from class weka.dl4j.updater.Updater

create, getBackend, getLearningRateSchedule, setBackend, setLearningRateSchedule

Methods inherited from class java.lang.Object

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

Methods inherited from interface weka.core.OptionHandler

makeCopy

Constructor Detail

AdaDelta

public AdaDelta()

Method Detail

getRho

@OptionMetadata(displayName="rho",
                description="The rho parameter (default = 0.95).",
                commandLineParamName="rho",
                commandLineParamSynopsis="-rho <double>",
                displayOrder=0)
public double getRho()

setRho

public void setRho(double rho)

getEpsilon

@OptionMetadata(displayName="epsilon",
                description="The epsilon parameter (default = 1.0E-6).",
                commandLineParamName="epsilon",
                commandLineParamSynopsis="-epsilon <double>",
                displayOrder=1)
public double getEpsilon()

setEpsilon

public void setEpsilon(double epsilon)

getLearningRate

@ProgrammaticProperty
public double getLearningRate()

Description copied from class: Updater

Get the learning rate

Overrides:

getLearningRate in class Updater<org.nd4j.linalg.learning.config.AdaDelta>

Returns:

Learning rate

setLearningRate

@ProgrammaticProperty
public void setLearningRate(double learningRate)

Set the learning rate

Overrides:

setLearningRate in class Updater<org.nd4j.linalg.learning.config.AdaDelta>

Parameters:

learningRate - Learning rate

initializeBackend

public void initializeBackend()

Description copied from interface: ApiWrapper

Initialize the DL4J backend.

hasLearningRate

public boolean hasLearningRate()

Overrides:

hasLearningRate in class Updater<org.nd4j.linalg.learning.config.AdaDelta>

listOptions

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

Returns an enumeration describing the available options.

Specified by:

listOptions in interface weka.core.OptionHandler

Overrides:

listOptions in class Updater<org.nd4j.linalg.learning.config.AdaDelta>

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

Overrides:

getOptions in class Updater<org.nd4j.linalg.learning.config.AdaDelta>

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

Overrides:

setOptions in class Updater<org.nd4j.linalg.learning.config.AdaDelta>

Parameters:

options - the list of options as an array of strings

Throws:

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