Uses of Interface
org.apache.commons.rng.sampling.ObjectSampler

Packages that use ObjectSampler

Package	Description
org.apache.commons.rng.sampling	This package provides sampling utilities.
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.

Uses of ObjectSampler in org.apache.commons.rng.sampling

Subinterfaces of ObjectSampler in org.apache.commons.rng.sampling

Modifier and Type	Interface	Description
interface	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.

Classes in org.apache.commons.rng.sampling that implement ObjectSampler

Modifier and Type	Class	Description
class	CollectionSampler<T>	Sampling from a Collection.
class	CombinationSampler	Class for representing combinations of a sequence of integers.
private static class	CompositeSamplers.ObjectSamplerFactory.CompositeObjectSampler<T>	A composite object sampler.
private static class	CompositeSamplers.SharedStateObjectSamplerFactory.CompositeSharedStateObjectSampler<T>	A composite object sampler with shared state support.
class	DiscreteProbabilityCollectionSampler<T>	Sampling from a collection of items with user-defined probabilities.
class	PermutationSampler	Class for representing permutations of a sequence of integers.
class	UnitSphereSampler	Generate vectors isotropically located on the surface of a sphere.
private static class	UnitSphereSampler.UnitSphereSampler1D	Sample uniformly from the ends of a 1D unit line.
private static class	UnitSphereSampler.UnitSphereSampler2D	Sample uniformly from a 2D unit circle.
private static class	UnitSphereSampler.UnitSphereSampler3D	Sample uniformly from a 3D unit sphere.
private static class	UnitSphereSampler.UnitSphereSamplerND	Sample uniformly from a ND unit sphere.

Methods in org.apache.commons.rng.sampling that return ObjectSampler

Modifier and Type	Method	Description
ObjectSampler<T>	CompositeSamplers.ObjectSamplerFactory.createSampler(DiscreteSampler discreteSampler, java.util.List<ObjectSampler<T>> samplers)

Methods in org.apache.commons.rng.sampling that return types with arguments of type ObjectSampler

Modifier and Type	Method	Description
static <T> CompositeSamplers.Builder<ObjectSampler<T>>	CompositeSamplers.newObjectSamplerBuilder()	Create a new builder for a composite ObjectSampler.

Method parameters in org.apache.commons.rng.sampling with type arguments of type ObjectSampler

Modifier and Type	Method	Description
ObjectSampler<T>	CompositeSamplers.ObjectSamplerFactory.createSampler(DiscreteSampler discreteSampler, java.util.List<ObjectSampler<T>> samplers)

Constructor parameters in org.apache.commons.rng.sampling with type arguments of type ObjectSampler

Constructor	Description
CompositeObjectSampler(DiscreteSampler discreteSampler, java.util.List<ObjectSampler<T>> samplers)

Uses of ObjectSampler in org.apache.commons.rng.sampling.distribution

Classes in org.apache.commons.rng.sampling.distribution that implement ObjectSampler

Modifier and Type	Class	Description
class	DirichletSampler	Sampling from a Dirichlet distribution.
private static class	DirichletSampler.GeneralDirichletSampler	Sample from a Dirichlet distribution with different concentration parameters for each category.
private static class	DirichletSampler.SymmetricDirichletSampler	Sample from a symmetric Dirichlet distribution with the same concentration parameter for each category.

Uses of ObjectSampler in org.apache.commons.rng.sampling.shape

Classes in org.apache.commons.rng.sampling.shape that implement ObjectSampler

Modifier and Type	Class	Description
class	BoxSampler	Generate points uniformly distributed within a n-dimension box (hyperrectangle).
private static class	BoxSampler.BoxSampler2D	Sample uniformly from a box in 2D.
private static class	BoxSampler.BoxSampler3D	Sample uniformly from a box in 3D.
private static class	BoxSampler.BoxSamplerND	Sample uniformly from a box in ND.
class	LineSampler	Generate points uniformly distributed on a line.
private static class	LineSampler.LineSampler1D	Sample uniformly from a line in 1D.
private static class	LineSampler.LineSampler2D	Sample uniformly from a line in 2D.
private static class	LineSampler.LineSampler3D	Sample uniformly from a line in 3D.
private static class	LineSampler.LineSamplerND	Sample uniformly from a line in ND.
class	TetrahedronSampler	Generate points uniformly distributed within a tetrahedron.
class	TriangleSampler	Generate points uniformly distributed within a triangle.
private static class	TriangleSampler.TriangleSampler2D	Sample uniformly from a triangle in 2D.
private static class	TriangleSampler.TriangleSampler3D	Sample uniformly from a triangle in 3D.
private static class	TriangleSampler.TriangleSamplerND	Sample uniformly from a triangle in ND.
class	UnitBallSampler	Generate coordinates uniformly distributed within the unit n-ball.
private static class	UnitBallSampler.UnitBallSampler1D	Sample uniformly from a 1D unit line.
private static class	UnitBallSampler.UnitBallSampler2D	Sample uniformly from a 2D unit disk.
private static class	UnitBallSampler.UnitBallSampler3D	Sample uniformly from a 3D unit ball.
private static class	UnitBallSampler.UnitBallSamplerND	Sample using ball point picking.