org.deeplearning4j.nn.conf.distribution

Class NormalDistribution

java.lang.Object

org.deeplearning4j.nn.conf.distribution.Distribution

org.deeplearning4j.nn.conf.distribution.NormalDistribution

All Implemented Interfaces:

java.io.Serializable, java.lang.Cloneable

Direct Known Subclasses:

GaussianDistribution

public class NormalDistribution
extends Distribution

A normal distribution.

See Also:

Serialized Form

Constructor Summary

Constructors

Constructor and Description
NormalDistribution(double mean, double std) Create a normal distribution with the given mean and std

Method Summary

Modifier and Type	Method and Description
boolean	equals(java.lang.Object obj)
double	getMean()
double	getStd()
int	hashCode()
void	setMean(double mean)
void	setStd(double std)
java.lang.String	toString()

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

clone

Methods inherited from class java.lang.Object

finalize, getClass, notify, notifyAll, wait, wait, wait

Constructor Detail

NormalDistribution

public NormalDistribution(double mean,
                          double std)

Create a normal distribution with the given mean and std

Parameters:

mean - the mean

std - the standard deviation

Method Detail

getMean

public double getMean()

setMean

public void setMean(double mean)

getStd

public double getStd()

setStd

public void setStd(double std)

hashCode

public int hashCode()

Overrides:

hashCode in class java.lang.Object

equals

public boolean equals(java.lang.Object obj)

Overrides:

equals in class java.lang.Object

toString

public java.lang.String toString()

Overrides:

toString in class java.lang.Object