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

Interface DistributionFactory

All Known Implementing Classes:

DefaultDistributionFactory

public interface DistributionFactory

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

Method Detail

createBinomial

Distribution createBinomial(int n,
                            INDArray p)

Create a distribution

Parameters:

n - the number of trials

p - the probabilities

Returns:

the biniomial distribution with the given parameters

createBinomial

Distribution createBinomial(int n,
                            double p)

Create a distribution

Parameters:

n - the number of trials

p - the probabilities

Returns:

the biniomial distribution with the given parameters

createNormal

Distribution createNormal(INDArray mean,
                          double std)

Create a normal distribution with the given mean and std

Parameters:

mean - the mean

std - the standard deviation

Returns:

the distribution with the given mean and standard deviation

createNormal

Distribution createNormal(double mean,
                          double std)

Create a normal distribution with the given mean and std

Parameters:

mean - the mean

std - the stnadard deviation

Returns:

the distribution with the given mean and standard deviation

createUniform

Distribution createUniform(double min,
                           double max)

Create a uniform distribution with the given min and max

Parameters:

min - the min

max - the max

Returns:

the uniform distribution

createLogNormal

Distribution createLogNormal(double mean,
                             double std)

Creates a log-normal distribution

Parameters:

mean -

std -

Returns:

createTruncatedNormal

Distribution createTruncatedNormal(double mean,
                                   double std)

Creates truncated normal distribution

Parameters:

mean -

std -

Returns:

createOrthogonal

Distribution createOrthogonal(double gain)

Creates orthogonal distribution

Parameters:

gain -

Returns:

createConstant

Distribution createConstant(double value)

Creates constant distribution

Parameters:

value -

Returns: