Class DoublePlusOp_NoSkip

Inheritance

Object

DoublePlusOp_NoSkip

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(NoSkip), "Plus", new Type[]{typeof(double), typeof(double)}, Default = true)]
[FactorMethod(new string[]{"A", "Sum", "B"}, typeof(NoSkip), "Difference", new Type[]{typeof(double), typeof(double)}, Default = true)]
[Quality(QualityBand.Experimental)]
public static class DoublePlusOp_NoSkip

Methods

AAverageConditional(Gaussian, Gaussian)

Declaration

public static Gaussian AAverageConditional(Gaussian Sum, Gaussian b)

Parameters

Type	Name	Description
Gaussian	Sum
Gaussian	b

Returns

Type	Description
Gaussian

BAverageConditional(Gaussian, Gaussian)

Declaration

public static Gaussian BAverageConditional(Gaussian Sum, Gaussian a)

Parameters

Type	Name	Description
Gaussian	Sum
Gaussian	a

Returns

Type	Description
Gaussian

SumAverageConditional(Gaussian, Gaussian)

EP message to a.

Declaration

public static Gaussian SumAverageConditional(Gaussian a, Gaussian b)

Parameters

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

Returns

Type	Description
Gaussian	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	a is not a proper distribution.
ImproperMessageException	b is not a proper distribution.