weka.dl4j.distribution

Class NormalDistribution

java.lang.Object

org.deeplearning4j.nn.conf.distribution.Distribution

org.deeplearning4j.nn.conf.distribution.NormalDistribution

weka.dl4j.distribution.NormalDistribution

All Implemented Interfaces:

java.io.Serializable, java.lang.Cloneable, OptionHandler

public class NormalDistribution
extends org.deeplearning4j.nn.conf.distribution.NormalDistribution
implements OptionHandler

A version of DeepLearning4j's NormalDistribution that implements WEKA option handling.

Version:

$Revision: 11711 $

Author:

Eibe Frank

See Also:

Serialized Form

Constructor Summary

Constructors

Constructor and Description
NormalDistribution() Constructions normal distribution with mean 0 and unit variance.

Method Summary

Modifier and Type	Method and Description
double	getMean()
java.lang.String[]	getOptions() Gets the current settings of the Classifier.
double	getStd()
java.util.Enumeration<Option>	listOptions() Returns an enumeration describing the available options.
void	setMean(double mean)
void	setOptions(java.lang.String[] options) Parses a given list of options.
void	setStd(double std)

Methods inherited from class org.deeplearning4j.nn.conf.distribution.NormalDistribution

equals, hashCode, toString

Methods inherited from class org.deeplearning4j.nn.conf.distribution.Distribution

clone

Methods inherited from class java.lang.Object

getClass, notify, notifyAll, wait, wait, wait

Constructor Detail

NormalDistribution

public NormalDistribution()

Constructions normal distribution with mean 0 and unit variance.

Method Detail

getMean

@OptionMetadata(displayName="mean",
                description="The mean (default = 1e-3).",
                commandLineParamName="mean",
                commandLineParamSynopsis="-mean <double>",
                displayOrder=1)
public double getMean()

Overrides:

getMean in class org.deeplearning4j.nn.conf.distribution.NormalDistribution

setMean

public void setMean(double mean)

Overrides:

setMean in class org.deeplearning4j.nn.conf.distribution.NormalDistribution

getStd

@OptionMetadata(displayName="standard deviation",
                description="The standard deviation (default = 1).",
                commandLineParamName="std",
                commandLineParamSynopsis="-std <double>",
                displayOrder=2)
public double getStd()

Overrides:

getStd in class org.deeplearning4j.nn.conf.distribution.NormalDistribution

setStd

public void setStd(double std)

Overrides:

setStd in class org.deeplearning4j.nn.conf.distribution.NormalDistribution

listOptions

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

Returns an enumeration describing the available options.

Specified by:

listOptions in interface 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 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 OptionHandler

Parameters:

options - the list of options as an array of strings

Throws:

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