Class BeliefPropagationGateExitTwoOp

Provides outgoing messages for ExitTwo<T>(Boolean, Boolean, T[]), given random arguments to the function.

Inheritance

Object

BeliefPropagationGateExitTwoOp

Inherited Members

Object.Equals(Object)

Object.Equals(Object, Object)

Object.GetHashCode()

Object.GetType()

Object.MemberwiseClone()

Object.ReferenceEquals(Object, Object)

Object.ToString()

Namespace: Microsoft.ML.Probabilistic.Factors

Assembly: Microsoft.ML.Probabilistic.dll

Syntax

[FactorMethod(typeof(Gate), "ExitTwo<>", new Type[]{})]
[Quality(QualityBand.Stable)]
public static class BeliefPropagationGateExitTwoOp

Remarks

The message operators contained in this class assume that the distribution of the variable exiting the gate can represent mixtures exactly.

Methods

ExitTwoAverageConditional<TDist>(TDist, Bernoulli, Bernoulli, IList<TDist>, TDist)

EP message to exitTwo.

Declaration

public static TDist ExitTwoAverageConditional<TDist>(TDist exitTwo, Bernoulli case0, Bernoulli case1, [SkipIfAllUniform] IList<TDist> values, TDist result)
    where TDist : SettableTo<TDist>, SettableToWeightedSum<TDist>, CanGetLogAverageOf<TDist>

Parameters

Type	Name	Description
TDist	exitTwo	Incoming message from exitTwo.
Bernoulli	case0	Incoming message from case0.
Bernoulli	case1	Incoming message from case1.
IList<TDist>	values	Incoming message from values. Must be a proper distribution. If all elements are uniform, the result will be uniform.
TDist	result	Modified to contain the outgoing message.

Returns

Type	Description
TDist	result

Type Parameters

Name	Description
TDist	The type of the distribution over the variable exiting the gate.

Remarks

The outgoing message is a distribution matching the moments of exitTwo as the random arguments are varied. The formula is proj[p(exitTwo) sum_(case0,case1,values) p(case0,case1,values) factor(exitTwo,case0,case1,values)]/p(exitTwo).

Exceptions

Type	Condition
ImproperMessageException	values is not a proper distribution.