Modifier and Type | Class and Description |
---|---|
class |
BaseDistribution
Base distribution derived from apache commons math
http://commons.apache.org/proper/commons-math/
(specifically the
org.apache.commons.math3.distribution.AbstractRealDistribution |
Modifier and Type | Method and Description |
---|---|
Distribution |
DistributionFactory.createBinomial(int n,
double p)
Create a distribution
|
Distribution |
DefaultDistributionFactory.createBinomial(int n,
double p) |
Distribution |
DistributionFactory.createBinomial(int n,
INDArray p)
Create a distribution
|
Distribution |
DefaultDistributionFactory.createBinomial(int n,
INDArray p) |
Distribution |
DistributionFactory.createConstant(double value)
Creates constant distribution
|
Distribution |
DefaultDistributionFactory.createConstant(double value) |
Distribution |
DistributionFactory.createLogNormal(double mean,
double std)
Creates a log-normal distribution
|
Distribution |
DefaultDistributionFactory.createLogNormal(double mean,
double std) |
Distribution |
DistributionFactory.createNormal(double mean,
double std)
Create a normal distribution
with the given mean and std
|
Distribution |
DefaultDistributionFactory.createNormal(double mean,
double std) |
Distribution |
DistributionFactory.createNormal(INDArray mean,
double std)
Create a normal distribution
with the given mean and std
|
Distribution |
DefaultDistributionFactory.createNormal(INDArray mean,
double std) |
Distribution |
DistributionFactory.createOrthogonal(double gain)
Creates orthogonal distribution
|
Distribution |
DefaultDistributionFactory.createOrthogonal(double gain) |
Distribution |
DistributionFactory.createTruncatedNormal(double mean,
double std)
Creates truncated normal distribution
|
Distribution |
DefaultDistributionFactory.createTruncatedNormal(double mean,
double std) |
Distribution |
DistributionFactory.createUniform(double min,
double max)
Create a uniform distribution with the
given min and max
|
Distribution |
DefaultDistributionFactory.createUniform(double min,
double max) |
Modifier and Type | Class and Description |
---|---|
class |
BinomialDistribution
Base distribution derived from apache commons math
http://commons.apache.org/proper/commons-math/
(specifically the
org.apache.commons.math3.distribution.BinomialDistribution |
class |
ConstantDistribution
This is not real distribution.
|
class |
LogNormalDistribution
Log-Normal Distribution
|
class |
NormalDistribution
Base distribution derived from apache commons math
http://commons.apache.org/proper/commons-math/
(specifically the
org.apache.commons.math3.distribution.NormalDistribution |
class |
OrthogonalDistribution
Limited Orthogonal distribution implementation
|
class |
TruncatedNormalDistribution
Truncated Normal Distribution
|
class |
UniformDistribution
Base distribution derived from apache commons math
http://commons.apache.org/proper/commons-math/
(specifically the
org.apache.commons.math3.distribution.UniformIntegerDistribution |
Modifier and Type | Method and Description |
---|---|
static INDArray |
Nd4j.rand(INDArray target,
Distribution dist)
Fill the given ndarray with random numbers drawn from the given distribution
|
static INDArray |
Nd4j.rand(int[] shape,
Distribution dist)
Create a random ndarray with the given shape using the given rng
|
INDArray |
NDArrayFactory.rand(int[] shape,
Distribution r)
Create a random ndarray with the given shape using the given rng
|
INDArray |
BaseNDArrayFactory.rand(int[] shape,
Distribution r)
Create a random ndarray with the given shape using the given rng
|
Constructor and Description |
---|
DistributionInitScheme(char order,
Distribution distribution) |
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