Class DifferenceBetaOp

Provides outgoing messages for Difference(Double, Double), given random arguments to the function.

Inheritance

Object

DifferenceBetaOp

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(Factor), "Difference", new Type[]{typeof(double), typeof(double)})]
[Quality(QualityBand.Experimental)]
public static class DifferenceBetaOp

Methods

AAverageConditional(Gaussian, Beta)

EP message to a.

Declaration

public static Beta AAverageConditional(Gaussian difference, Beta b)

Parameters

Type	Name	Description
Gaussian	difference	Incoming message from difference. Must be a proper distribution. If uniform, the result will be uniform.
Beta	b	Incoming message from b.

Returns

Type	Description
Beta	The outgoing EP message to the a argument.

Remarks

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

Exceptions

Type	Condition
ImproperMessageException	difference is not a proper distribution.

BAverageConditional(Gaussian, Beta)

EP message to b.

Declaration

public static Beta BAverageConditional(Gaussian difference, Beta a)

Parameters

Type	Name	Description
Gaussian	difference	Incoming message from difference. Must be a proper distribution. If uniform, the result will be uniform.
Beta	a	Incoming message from a.

Returns

Type	Description
Beta	The outgoing EP message to the b argument.

Remarks

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

Exceptions

Type	Condition
ImproperMessageException	difference is not a proper distribution.

DifferenceAverageConditional(Beta, Beta)

EP message to difference.

Declaration

public static Gaussian DifferenceAverageConditional(Beta a, Beta b)

Parameters

Type	Name	Description
Beta	a	Incoming message from a.
Beta	b	Incoming message from b.

Returns

Type	Description
Gaussian	The outgoing EP message to the difference argument.

Remarks

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