Class BeliefPropagationGateExitOp

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

Inheritance

Object

BeliefPropagationGateExitOp

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), "Exit<>", new Type[]{})]
[Quality(QualityBand.Stable)]
public static class BeliefPropagationGateExitOp

Remarks

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

Methods

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

EP message to exit.

Declaration

public static TDist ExitAverageConditional<TDist>(IList<Bernoulli> cases, IList<TDist> values, TDist result)
    where TDist : SettableTo<TDist>, SettableToWeightedSum<TDist>

Parameters

Type	Name	Description
IList<Bernoulli>	cases	Incoming message from cases.
IList<TDist>	values	Incoming message from values. Must be a proper distribution. If any element is 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 exit as the random arguments are varied. The formula is proj[p(exit) sum_(cases,values) p(cases,values) factor(exit,cases,values)]/p(exit).

Exceptions

Type	Condition
ImproperMessageException	values is not a proper distribution.