weka.dl4j.dropout

Class GaussianNoise

java.lang.Object

weka.dl4j.dropout.AbstractDropout<org.deeplearning4j.nn.conf.dropout.GaussianNoise>

weka.dl4j.dropout.GaussianNoise

All Implemented Interfaces:

java.io.Serializable, weka.core.OptionHandler, ApiWrapper<org.deeplearning4j.nn.conf.dropout.GaussianNoise>

public class GaussianNoise
extends AbstractDropout<org.deeplearning4j.nn.conf.dropout.GaussianNoise>

Gaussian noise implementation.

See Also:

Serialized Form

Constructor Summary

Constructors

Constructor and Description
GaussianNoise()

Method Summary

Modifier and Type	Method and Description
org.deeplearning4j.nn.conf.dropout.GaussianNoise	getBackend() Access the DL4J backend.
java.lang.String[]	getOptions() Gets the current settings of the Classifier.
Schedule<? extends org.nd4j.linalg.schedule.ISchedule>	getRateSchedule()
double	getStdDev()
void	initializeBackend() Initialize the DL4J backend.
java.util.Enumeration<weka.core.Option>	listOptions() Returns an enumeration describing the available options.
void	setOptions(java.lang.String[] options) Parses a given list of options.
void	setRateSchedule(Schedule<? extends org.nd4j.linalg.schedule.ISchedule> rateSchedule)
void	setStdDev(double stdDev)

Methods inherited from class weka.dl4j.dropout.AbstractDropout

create, setBackend

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

GaussianNoise

public GaussianNoise()

Method Detail

getStdDev

public double getStdDev()

setStdDev

@OptionMetadata(displayName="schedule",
                description="The standard deviation (default = 1.0).",
                commandLineParamName="schedule",
                commandLineParamSynopsis="-schedule <Schedule>",
                displayOrder=2)
public void setStdDev(double stdDev)

getRateSchedule

@OptionMetadata(displayName="schedule",
                description="The standard deviation schedule (default = ConstantScheduleImpl).",
                commandLineParamName="schedule",
                commandLineParamSynopsis="-schedule <Schedule>",
                displayOrder=2)
public Schedule<? extends org.nd4j.linalg.schedule.ISchedule> getRateSchedule()

setRateSchedule

public void setRateSchedule(Schedule<? extends org.nd4j.linalg.schedule.ISchedule> rateSchedule)

getBackend

public org.deeplearning4j.nn.conf.dropout.GaussianNoise getBackend()

Description copied from interface: ApiWrapper

Access the DL4J backend.

Specified by:

getBackend in interface ApiWrapper<org.deeplearning4j.nn.conf.dropout.GaussianNoise>

Overrides:

getBackend in class AbstractDropout<org.deeplearning4j.nn.conf.dropout.GaussianNoise>

Returns:

DL4J backend for this wrapper

initializeBackend

public void initializeBackend()

Description copied from interface: ApiWrapper

Initialize the DL4J backend.

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 AbstractDropout<org.deeplearning4j.nn.conf.dropout.GaussianNoise>

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 AbstractDropout<org.deeplearning4j.nn.conf.dropout.GaussianNoise>

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 AbstractDropout<org.deeplearning4j.nn.conf.dropout.GaussianNoise>

Parameters:

options - the list of options as an array of strings

Throws:

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