org.deeplearning4j.nn.conf.distribution

Class BinomialDistribution

java.lang.Object

org.deeplearning4j.nn.conf.distribution.Distribution

org.deeplearning4j.nn.conf.distribution.BinomialDistribution

All Implemented Interfaces:

Serializable, Cloneable

public class BinomialDistribution
extends Distribution

A binomial distribution, with 2 parameters: number of trials, and probability of success

Author:

Adam Gibson

See Also:

Serialized Form

Constructor Summary

Constructors

Constructor and Description
BinomialDistribution(int numberOfTrials, double probabilityOfSuccess) Create a distribution

Method Summary

Modifier and Type	Method and Description
boolean	equals(Object obj)
int	getNumberOfTrials()
double	getProbabilityOfSuccess()
int	hashCode()
void	setProbabilityOfSuccess(double probabilityOfSuccess)
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

BinomialDistribution

public BinomialDistribution(int numberOfTrials,
                            double probabilityOfSuccess)

Create a distribution

Parameters:

numberOfTrials - the number of trials

probabilityOfSuccess - the probability of success

Method Detail

getProbabilityOfSuccess

public double getProbabilityOfSuccess()

setProbabilityOfSuccess

public void setProbabilityOfSuccess(double probabilityOfSuccess)

getNumberOfTrials

public int getNumberOfTrials()

hashCode

public int hashCode()

Overrides:

hashCode in class Object

equals

public boolean equals(Object obj)

Overrides:

equals in class Object

toString

public String toString()

Overrides:

toString in class Object