org.deeplearning4j.nn.conf.distribution

Class LogNormalDistribution

java.lang.Object

org.deeplearning4j.nn.conf.distribution.Distribution

org.deeplearning4j.nn.conf.distribution.LogNormalDistribution

All Implemented Interfaces:

Serializable, Cloneable

public class LogNormalDistribution
extends Distribution

A log-normal distribution, with two parameters: mean and standard deviation. Note: the mean and standard deviation are for the logarithm of the values. Put another way: if X~LogN(M,S), then mean(log(X))=M, and stdev(log(X))=S

See Also:

Serialized Form

Constructor Summary

Constructors

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

Method Summary

Modifier and Type	Method and Description
String	toString()

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

clone

Methods inherited from class java.lang.Object

equals, finalize, getClass, hashCode, notify, notifyAll, wait, wait, wait

Constructor Detail

LogNormalDistribution

public LogNormalDistribution(double mean,
                             double std)

Create a log-normal distribution with the given mean and std

Parameters:

mean - the mean

std - the standard deviation

Method Detail

toString

public String toString()

Overrides:

toString in class Object