Class BeliefPropagationGateEnterPartialOp

Provides outgoing messages for the following factors:

• EnterPartial<T>(Int32, T, Int32[])
• EnterPartial<T>(Boolean, T, Int32[])

, given random arguments to the function.

Inheritance

Object

BeliefPropagationGateEnterPartialOp

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), "EnterPartial<>", new Type[]{null, typeof(int), null, typeof(int[])})]
[FactorMethod(typeof(Gate), "EnterPartial<>", new Type[]{null, typeof(bool), null, typeof(int[])})]
[Quality(QualityBand.Stable)]
public static class BeliefPropagationGateEnterPartialOp

Remarks

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

Methods

ValueAverageConditional<TDist>(IList<TDist>, Bernoulli, TDist, Int32[], TDist)

EP message to value.

Declaration

public static TDist ValueAverageConditional<TDist>(IList<TDist> enterPartial, Bernoulli selector, TDist value, int[] indices, TDist result)
    where TDist : ICloneable, SettableToUniform, SettableTo<TDist>, SettableToWeightedSum<TDist>, CanGetLogAverageOf<TDist>, CanGetLogNormalizer

Parameters

Type	Name	Description
IList<TDist>	enterPartial	Incoming message from enterPartial. Must be a proper distribution. If any element is uniform, the result will be uniform.
Bernoulli	selector	Incoming message from selector. Must be a proper distribution. If uniform, the result will be uniform.
TDist	value	Incoming message from value.
Int32[]	indices	Constant value for indices.
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 entering the gate.

Remarks

The outgoing message is a distribution matching the moments of value as the random arguments are varied. The formula is proj[p(value) sum_(enterPartial,selector) p(enterPartial,selector) factor(enterPartial,selector,value,indices)]/p(value).

Exceptions

Type	Condition
ImproperMessageException	enterPartial is not a proper distribution.
ImproperMessageException	selector is not a proper distribution.

ValueAverageConditional<TDist>(IList<TDist>, Discrete, TDist, Int32[], TDist)

EP message to value.

Declaration

public static TDist ValueAverageConditional<TDist>(IList<TDist> enterPartial, Discrete selector, TDist value, int[] indices, TDist result)
    where TDist : ICloneable, SettableToUniform, SettableTo<TDist>, SettableToWeightedSum<TDist>, CanGetLogAverageOf<TDist>, CanGetLogNormalizer

Parameters

Type	Name	Description
IList<TDist>	enterPartial	Incoming message from enterPartial. Must be a proper distribution. If any element is uniform, the result will be uniform.
Discrete	selector	Incoming message from selector. Must be a proper distribution. If uniform, the result will be uniform.
TDist	value	Incoming message from value.
Int32[]	indices	Constant value for indices.
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 entering the gate.

Remarks

The outgoing message is a distribution matching the moments of value as the random arguments are varied. The formula is proj[p(value) sum_(enterPartial,selector) p(enterPartial,selector) factor(enterPartial,selector,value,indices)]/p(value).

Exceptions

Type	Condition
ImproperMessageException	enterPartial is not a proper distribution.
ImproperMessageException	selector is not a proper distribution.