weka.dl4j.distribution

Class UniformDistribution

java.lang.Object

org.deeplearning4j.nn.conf.distribution.Distribution

org.deeplearning4j.nn.conf.distribution.UniformDistribution

weka.dl4j.distribution.UniformDistribution

All Implemented Interfaces:

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

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

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

Version:

$Revision: 11711 $

Author:

Eibe Frank

See Also:

Serialized Form

Constructor Summary

Constructors

Constructor and Description
UniformDistribution() Constructions normal distribution with lower limit -1 and upper limit 1.

Method Summary

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

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

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

UniformDistribution

public UniformDistribution()

Constructions normal distribution with lower limit -1 and upper limit 1.

Method Detail

getLower

@OptionMetadata(displayName="lower limit",
                description="The lower limit (default = -1.0).",
                commandLineParamName="lower",
                commandLineParamSynopsis="-lower <double>",
                displayOrder=1)
public double getLower()

Overrides:

getLower in class org.deeplearning4j.nn.conf.distribution.UniformDistribution

setLower

public void setLower(double mean)

Overrides:

setLower in class org.deeplearning4j.nn.conf.distribution.UniformDistribution

getUpper

@OptionMetadata(displayName="upper limit",
                description="The upper limit (default = 1.0).",
                commandLineParamName="upper",
                commandLineParamSynopsis="-upper <double>",
                displayOrder=2)
public double getUpper()

Overrides:

getUpper in class org.deeplearning4j.nn.conf.distribution.UniformDistribution

setUpper

public void setUpper(double std)

Overrides:

setUpper in class org.deeplearning4j.nn.conf.distribution.UniformDistribution

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