Interface IImmutableDistribution<T, TThis>

Immutable distribution interface

Inherited Members

ICloneable.Clone()

Diffable.MaxDiff(Object)

CanCreateUniform<TThis>.CreateUniform()

CanCreateUniform<TThis>.IsUniform()

CanCreatePointMass<T, TThis>.Point

CanCreatePointMass<T, TThis>.CreatePointMass(T)

CanCreatePointMass<T, TThis>.IsPointMass

CanGetLogProb<T>.GetLogProb(T)

Namespace: Microsoft.ML.Probabilistic.Distributions

Assembly: Microsoft.ML.Probabilistic.dll

Syntax

[Quality(QualityBand.Experimental)]
public interface IImmutableDistribution<T, TThis> : IImmutableDistribution, ICloneable, Diffable, CanCreateUniform<TThis>, CanCreatePointMass<T, TThis>, CanGetLogProb<T> where TThis : IImmutableDistribution<T, TThis>

Type Parameters

Name	Description
T	The type of objects in the domain, e.g. double or string. Should be an immutable type.
TThis	The type of the concrete IImmutableDistribution<T, TThis> implementation.

Remarks

T should generally have value semantics, i.e. it should override Equals to use value equality. Otherwise it implies a Distribution over references.

In addition to this interface, Distributions should override Equals to use value equality. A typical implementation of Equals is: MaxDiff(that) == 0.0

When implementing this interface, its second type parameter should be the type being implemented itself, e.g. a typical declaration of a type implementing an immutable distribution over double-precision floating point numbers would look like

public class A : IImmutableDistribution<double, A>