Interface IDistribution<T>

Distribution interface

Inherited Members

ICloneable.Clone()

Diffable.MaxDiff(Object)

SettableToUniform.SetToUniform()

SettableToUniform.IsUniform()

HasPoint<T>.Point

HasPoint<T>.IsPointMass

CanGetLogProb<T>.GetLogProb(T)

Namespace: Microsoft.ML.Probabilistic.Distributions

Assembly: Microsoft.ML.Probabilistic.dll

Syntax

[Quality(QualityBand.Mature)]
public interface IDistribution<T> : IDistribution, ICloneable, Diffable, SettableToUniform, HasPoint<T>, CanGetLogProb<T>

Type Parameters

Name	Description
T	The type of objects in the domain, e.g. Vector or Matrix.

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

To be generally used by message-passing algorithms, a distribution should also implement the following interfaces: SettableTo, SettableToProduct, SettableToRatio, SettableToPower, SettableToWeightedSum, CanGetLogAverageOf, CanGetAverageLog