Package org.apache.commons.rng.sampling

package org.apache.commons.rng.sampling

This package provides sampling utilities.

The distribution sub-package provides sampling from statistical distributions.

The shape sub-package provides sampling coordinates from shapes.

Related Packages

Package	Description
org.apache.commons.rng	This package contains the library's interface to be used by client code that needs a generator of sequences of pseudo-random numbers that are uniformly distributed in a specified range.
org.apache.commons.rng.sampling.distribution	This package contains classes for sampling from statistical distributions.
org.apache.commons.rng.sampling.shape	This package contains classes for sampling coordinates from shapes, for example a unit ball.
org.apache.commons.rng.core	Base classes for the generation of uniformly distributed random numbers.
org.apache.commons.rng.simple	This package provides factory methods by which low-level classes implemented in module "commons-rng-core" are instantiated.

Class	Description
ArraySampler	Utilities for shuffling an array in-place.
CollectionSampler<T>	Sampling from a Collection.
CombinationSampler	Class for representing combinations of a sequence of integers.
CompositeSamplers	Factory class to create a sampler that combines sampling from multiple samplers.
CompositeSamplers.Builder<S>	Builds a composite sampler.
CompositeSamplers.DiscreteProbabilitySampler	The DiscreteProbabilitySampler class defines implementations that sample from a user-defined discrete probability distribution.
CompositeSamplers.DiscreteProbabilitySamplerFactory	A factory for creating a sampler of a user-defined discrete probability distribution.
DiscreteProbabilityCollectionSampler<T>	Sampling from a collection of items with user-defined probabilities.
ListSampler	Sampling from a List.
ObjectSampler<T>	Sampler that generates values of a specified type.
PermutationSampler	Class for representing permutations of a sequence of integers.
SharedStateObjectSampler<T>	Sampler that generates values of a specified type and can create new instances to sample from the same state with a given source of randomness.
SharedStateSampler<R>	Applies to samplers that can share state between instances.
UnitSphereSampler	Generate vectors isotropically located on the surface of a sphere.