Package org.nd4j.linalg.api.rng.distribution.factory

Class DefaultDistributionFactory

java.lang.Object

org.nd4j.linalg.api.rng.distribution.factory.DefaultDistributionFactory

All Implemented Interfaces:

DistributionFactory

public class DefaultDistributionFactory
extends Object
implements DistributionFactory

Constructor Summary

Constructors

Constructor	Description
DefaultDistributionFactory()

Method Summary

Modifier and Type	Method	Description
Distribution	createBinomial(int n, double p)	Create a distribution
Distribution	createBinomial(int n, INDArray p)	Create a distribution
Distribution	createConstant(double value)	Creates constant distribution
Distribution	createLogNormal(double mean, double std)	Creates a log-normal distribution
Distribution	createNormal(double mean, double std)	Create a normal distribution with the given mean and std
Distribution	createNormal(INDArray mean, double std)	Create a normal distribution with the given mean and std
Distribution	createOrthogonal(double gain)	Creates orthogonal distribution
Distribution	createTruncatedNormal(double mean, double std)	Creates truncated normal distribution
Distribution	createUniform(double min, double max)	Create a uniform distribution with the given min and max

Methods inherited from class java.lang.Object

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

Constructor Detail

DefaultDistributionFactory

public DefaultDistributionFactory()

Method Detail

createBinomial

public Distribution createBinomial(int n,
                                   INDArray p)

Description copied from interface: DistributionFactory

Create a distribution

Specified by:

createBinomial in interface DistributionFactory

Parameters:

n - the number of trials

p - the probabilities

Returns:

the biniomial distribution with the given parameters

createBinomial

public Distribution createBinomial(int n,
                                   double p)

Description copied from interface: DistributionFactory

Create a distribution

Specified by:

createBinomial in interface DistributionFactory

Parameters:

n - the number of trials

p - the probabilities

Returns:

the biniomial distribution with the given parameters

createNormal

public Distribution createNormal(INDArray mean,
                                 double std)

Description copied from interface: DistributionFactory

Create a normal distribution with the given mean and std

Specified by:

createNormal in interface DistributionFactory

Parameters:

mean - the mean

std - the standard deviation

Returns:

the distribution with the given mean and standard deviation

createNormal

public Distribution createNormal(double mean,
                                 double std)

Description copied from interface: DistributionFactory

Create a normal distribution with the given mean and std

Specified by:

createNormal in interface DistributionFactory

Parameters:

mean - the mean

std - the stnadard deviation

Returns:

the distribution with the given mean and standard deviation

createLogNormal

public Distribution createLogNormal(double mean,
                                    double std)

Description copied from interface: DistributionFactory

Creates a log-normal distribution

Specified by:

createLogNormal in interface DistributionFactory

Returns:

createTruncatedNormal

public Distribution createTruncatedNormal(double mean,
                                          double std)

Description copied from interface: DistributionFactory

Creates truncated normal distribution

Specified by:

createTruncatedNormal in interface DistributionFactory

Returns:

createOrthogonal

public Distribution createOrthogonal(double gain)

Description copied from interface: DistributionFactory

Creates orthogonal distribution

Specified by:

createOrthogonal in interface DistributionFactory

Returns:

createConstant

public Distribution createConstant(double value)

Description copied from interface: DistributionFactory

Creates constant distribution

Specified by:

createConstant in interface DistributionFactory

Returns:

createUniform

public Distribution createUniform(double min,
                                  double max)

Description copied from interface: DistributionFactory

Create a uniform distribution with the given min and max

Specified by:

createUniform in interface DistributionFactory

Parameters:

min - the min

max - the max

Returns:

the uniform distribution