Class ReplicateBufferOp

Provides outgoing messages for ReplicateWithMarginal<T>(T, Int32, out T), given random arguments to the function.

Inheritance
Object
ReplicateBufferOp
Inherited Members
Namespace: Microsoft.ML.Probabilistic.Factors
Assembly: Microsoft.ML.Probabilistic.dll
Syntax
[FactorMethod(typeof(Clone), "ReplicateWithMarginal<>", new Type[]{}, Default = true)]
[Quality(QualityBand.Preview)]
public static class ReplicateBufferOp

Methods

UsesAverageConditional<T>(T[], T, T, Int32, T)

EP message to Uses.

Declaration
public static T UsesAverageConditional<T>(T[] Uses, T Def, T to_marginal, int resultIndex, T result)
    where T : SettableToRatio<T>, SettableToProduct<T>, SettableTo<T>
Parameters
Type Name Description
T[] Uses

Incoming message from Uses.
T Def

Incoming message from Def. Must be a proper distribution. If uniform, the result will be uniform.
T to_marginal

Outgoing message to marginal.
Int32 resultIndex

Index of the Uses for which a message is desired.
T result

Modified to contain the outgoing message.
Returns
Type Description
T

result
Type Parameters
Name Description
T

The type of the distribution over the replicated variable.
Remarks

The outgoing message is a distribution matching the moments of Uses as the random arguments are varied. The formula is proj[p(Uses) sum_(Def) p(Def) factor(Uses,Def,count,Marginal)]/p(Uses).

Exceptions
Type Condition
ImproperMessageException

Def is not a proper distribution.

UsesAverageConditional<T>(IReadOnlyList<T>, T, T, Int32, T)

Declaration
public static T UsesAverageConditional<T>(IReadOnlyList<T> Uses, T Def, T to_marginal, int resultIndex, T result)
    where T : SettableToRatio<T>, SettableToProduct<T>, SettableTo<T>
Parameters
Type Name Description
IReadOnlyList<T> Uses
T Def
T to_marginal
Int32 resultIndex
T result
Returns
Type Description
T
Type Parameters
Name Description
T

The type of the distribution over the replicated variable.