Uses of Interface
org.nd4j.linalg.api.rng.distribution.Distribution

Packages that use Distribution

Package	Description
org.nd4j.linalg.api.rng.distribution
org.nd4j.linalg.api.rng.distribution.factory
org.nd4j.linalg.api.rng.distribution.impl
org.nd4j.linalg.factory
org.nd4j.weightinit.impl

Uses of Distribution in org.nd4j.linalg.api.rng.distribution

Classes in org.nd4j.linalg.api.rng.distribution that implement Distribution

Modifier and Type	Class and Description
class	BaseDistribution

Uses of Distribution in org.nd4j.linalg.api.rng.distribution.factory

Methods in org.nd4j.linalg.api.rng.distribution.factory that return Distribution

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

Uses of Distribution in org.nd4j.linalg.api.rng.distribution.impl

Classes in org.nd4j.linalg.api.rng.distribution.impl that implement Distribution

Modifier and Type	Class and Description
class	BinomialDistribution
class	ConstantDistribution
class	LogNormalDistribution
class	NormalDistribution
class	OrthogonalDistribution
class	TruncatedNormalDistribution
class	UniformDistribution

Uses of Distribution in org.nd4j.linalg.factory

Methods in org.nd4j.linalg.factory with parameters of type Distribution

Modifier and Type	Method and Description
static INDArray	Nd4j.rand(@NonNull Distribution dist, long... shape) Create a random ndarray with the given shape using the given rng
static INDArray	Nd4j.rand(INDArray target, @NonNull Distribution dist) Fill the given ndarray with random numbers drawn from the given distribution
INDArray	BaseNDArrayFactory.rand(int[] shape, Distribution r) Create a random ndarray with the given shape using the given rng
static INDArray	Nd4j.rand(int[] shape, @NonNull Distribution dist) Deprecated. use Nd4j.rand(org.nd4j.linalg.api.rng.distribution.Distribution, long...)
INDArray	NDArrayFactory.rand(int[] shape, Distribution r) Create a random ndarray with the given shape using the given rng
static INDArray	Nd4j.rand(long[] shape, @NonNull Distribution dist) Deprecated. use Nd4j.rand(org.nd4j.linalg.api.rng.distribution.Distribution, long...)

Uses of Distribution in org.nd4j.weightinit.impl

Constructors in org.nd4j.weightinit.impl with parameters of type Distribution

Constructor and Description
DistributionInitScheme(char order, Distribution distribution)