Class BeliefPropagationGateEnterPartialTwoOp

Provides outgoing messages for EnterPartialTwo<T>(Boolean, Boolean, T, Int32[]), given random arguments to the function.

Inheritance
Object
BeliefPropagationGateEnterPartialTwoOp
Inherited Members
Namespace: Microsoft.ML.Probabilistic.Factors
Assembly: Microsoft.ML.Probabilistic.dll
Syntax
[FactorMethod(typeof(Gate), "EnterPartialTwo<>", new Type[]{})]
[Quality(QualityBand.Stable)]
public static class BeliefPropagationGateEnterPartialTwoOp
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, Bernoulli, TDist, Int32[], TDist)

EP message to value.

Declaration
public static TDist ValueAverageConditional<TDist>([SkipIfAllUniform] IList<TDist> enterPartialTwo, Bernoulli case0, Bernoulli case1, TDist value, int[] indices, TDist result)
    where TDist : ICloneable, SettableToUniform, SettableToWeightedSum<TDist>, CanGetLogAverageOf<TDist>, CanGetLogNormalizer
Parameters
Type Name Description
IList<TDist> enterPartialTwo

Incoming message from enterPartialTwo. Must be a proper distribution. If all elements are uniform, the result will be uniform.
Bernoulli case0

Incoming message from case0.
Bernoulli case1

Incoming message from case1.
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_(enterPartialTwo,case0,case1) p(enterPartialTwo,case0,case1) factor(enterPartialTwo,case0,case1,value,indices)]/p(value).

Exceptions
Type Condition
ImproperMessageException

enterPartialTwo is not a proper distribution.