Class DoublePlusEvidenceOp

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

Inheritance

Object

DoublePlusEvidenceOp

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), "Plus", new Type[]{typeof(double), typeof(double)})]
[Quality(QualityBand.Stable)]
public static class DoublePlusEvidenceOp

Methods

LogEvidenceRatio(Gaussian)

Evidence message for EP.

Declaration

public static double LogEvidenceRatio(Gaussian Sum)

Parameters

Type	Name	Description
Gaussian	Sum	Incoming message from Sum.

Returns

Type	Description
Double	Logarithm of the factor's contribution the EP model evidence.

Remarks

The formula for the result is log(sum_(Sum) p(Sum) factor(Sum,A,B) / sum_Sum p(Sum) messageTo(Sum)). Adding up these values across all factors and variables gives the log-evidence estimate for EP.

LogEvidenceRatio(Double, Gaussian, Gaussian)

Evidence message for EP.

Declaration

public static double LogEvidenceRatio(double Sum, Gaussian a, Gaussian to_a)

Parameters

Type	Name	Description
Double	Sum	Constant value for Sum.
Gaussian	a	Incoming message from A.
Gaussian	to_a	Outgoing message to a.

Returns

Type	Description
Double	Logarithm of the factor's contribution the EP model evidence.

Remarks

The formula for the result is log(sum_(A) p(A) factor(Sum,A,B)). Adding up these values across all factors and variables gives the log-evidence estimate for EP.

LogEvidenceRatio(Double, Double, Gaussian, Gaussian)

Evidence message for EP.

Declaration

public static double LogEvidenceRatio(double Sum, double a, Gaussian b, Gaussian to_b)

Parameters

Type	Name	Description
Double	Sum	Constant value for Sum.
Double	a	Constant value for A.
Gaussian	b	Incoming message from B.
Gaussian	to_b	Outgoing message to b.

Returns

Type	Description
Double	Logarithm of the factor's contribution the EP model evidence.

Remarks

The formula for the result is log(sum_(B) p(B) factor(Sum,A,B)). Adding up these values across all factors and variables gives the log-evidence estimate for EP.

LogEvidenceRatio(Double, Double, Double)

Evidence message for EP.

Declaration

public static double LogEvidenceRatio(double Sum, double a, double b)

Parameters

Type	Name	Description
Double	Sum	Constant value for Sum.
Double	a	Constant value for A.
Double	b	Constant value for B.

Returns

Type	Description
Double	Logarithm of the factor's contribution the EP model evidence.

Remarks

The formula for the result is log(factor(Sum,A,B)). Adding up these values across all factors and variables gives the log-evidence estimate for EP.