weka.dl4j.weightnoise

Class WeightNoise

java.lang.Object

weka.dl4j.weightnoise.AbstractWeightNoise<org.deeplearning4j.nn.conf.weightnoise.WeightNoise>

weka.dl4j.weightnoise.WeightNoise

All Implemented Interfaces:

java.io.Serializable, weka.core.OptionHandler, ApiWrapper<org.deeplearning4j.nn.conf.weightnoise.WeightNoise>

public class WeightNoise
extends AbstractWeightNoise<org.deeplearning4j.nn.conf.weightnoise.WeightNoise>
implements weka.core.OptionHandler, java.io.Serializable

Weight noise wrapper.

See Also:

Serialized Form

Constructor Summary

Constructors

Constructor and Description
WeightNoise()

Method Summary

Modifier and Type	Method and Description
Distribution<? extends org.deeplearning4j.nn.conf.distribution.Distribution>	getDistribution()
java.lang.String[]	getOptions() Gets the current settings of the Classifier.
void	initializeBackend() Initialize the DL4J backend.
boolean	isAdditive()
boolean	isApplyToBias()
java.util.Enumeration<weka.core.Option>	listOptions() Returns an enumeration describing the available options.
void	setAdditive(boolean additive)
void	setApplyToBias(boolean applyToBias)
void	setDistribution(Distribution<? extends org.deeplearning4j.nn.conf.distribution.Distribution> distribution)
void	setOptions(java.lang.String[] options) Parses a given list of options.

Methods inherited from class weka.dl4j.weightnoise.AbstractWeightNoise

create, getBackend, 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

WeightNoise

public WeightNoise()

Method Detail

getDistribution

@OptionMetadata(displayName="distribution",
                description="The weight noise distribution (default = NormalDistribution(0,1)).",
                commandLineParamName="distribution",
                commandLineParamSynopsis="-distribution <Distribution>",
                displayOrder=1)
public Distribution<? extends org.deeplearning4j.nn.conf.distribution.Distribution> getDistribution()

setDistribution

public void setDistribution(Distribution<? extends org.deeplearning4j.nn.conf.distribution.Distribution> distribution)

isApplyToBias

@OptionMetadata(displayName="applyToBias",
                description="Whether to apply it to the bias as well (default = false).",
                commandLineParamName="applyToBias",
                commandLineParamSynopsis="-applyToBias <boolean>",
                displayOrder=2)
public boolean isApplyToBias()

setApplyToBias

public void setApplyToBias(boolean applyToBias)

isAdditive

@OptionMetadata(displayName="isAdditive",
                description="Whether noise is added to weights or multiplied (default = true).",
                commandLineParamName="isAdditive",
                commandLineParamSynopsis="-isAdditive <boolean>",
                displayOrder=2)
public boolean isAdditive()

setAdditive

public void setAdditive(boolean additive)

initializeBackend

public void initializeBackend()

Description copied from interface: ApiWrapper

Initialize the DL4J backend.

Specified by:

initializeBackend in interface ApiWrapper<org.deeplearning4j.nn.conf.weightnoise.WeightNoise>

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 AbstractWeightNoise<org.deeplearning4j.nn.conf.weightnoise.WeightNoise>

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 AbstractWeightNoise<org.deeplearning4j.nn.conf.weightnoise.WeightNoise>

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 AbstractWeightNoise<org.deeplearning4j.nn.conf.weightnoise.WeightNoise>

Parameters:

options - the list of options as an array of strings

Throws:

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