Class GaussianRatioEvidenceOp

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

Inheritance

Object

GaussianRatioEvidenceOp

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), "Ratio", new Type[]{typeof(double), typeof(double)})]
[Quality(QualityBand.Mature)]
public static class GaussianRatioEvidenceOp

Methods

LogAverageFactor(Gaussian, Gaussian, Double, Gaussian)

Evidence message for EP.

Declaration

public static double LogAverageFactor(Gaussian ratio, Gaussian a, double b, Gaussian to_ratio)

Parameters

Type	Name	Description
Gaussian	ratio	Incoming message from ratio.
Gaussian	a	Incoming message from a.
Double	b	Constant value for b.
Gaussian	to_ratio	Outgoing message to ratio.

Returns

Type	Description
Double	Logarithm of the factor's average value across the given argument distributions.

Remarks

The formula for the result is log(sum_(ratio,a) p(ratio,a) factor(ratio,a,b)).

LogAverageFactor(Gaussian, Double, Gaussian, Gaussian)

Evidence message for EP.

Declaration

public static double LogAverageFactor(Gaussian ratio, double a, Gaussian b, Gaussian to_ratio)

Parameters

Type	Name	Description
Gaussian	ratio	Incoming message from ratio.
Double	a	Constant value for a.
Gaussian	b	Incoming message from b.
Gaussian	to_ratio	Outgoing message to ratio.

Returns

Type	Description
Double	Logarithm of the factor's average value across the given argument distributions.

Remarks

The formula for the result is log(sum_(ratio,b) p(ratio,b) factor(ratio,a,b)).

LogAverageFactor(Gaussian, Double, Double)

Evidence message for EP.

Declaration

public static double LogAverageFactor(Gaussian ratio, double a, double b)

Parameters

Type	Name	Description
Gaussian	ratio	Incoming message from ratio.
Double	a	Constant value for a.
Double	b	Constant value for b.

Returns

Type	Description
Double	Logarithm of the factor's average value across the given argument distributions.

Remarks

The formula for the result is log(sum_(ratio) p(ratio) factor(ratio,a,b)).

LogAverageFactor(Double, Gaussian, Double)

Evidence message for EP.

Declaration

public static double LogAverageFactor(double ratio, Gaussian a, double b)

Parameters

Type	Name	Description
Double	ratio	Constant value for ratio.
Gaussian	a	Incoming message from a.
Double	b	Constant value for b.

Returns

Type	Description
Double	Logarithm of the factor's average value across the given argument distributions.

Remarks

The formula for the result is log(sum_(a) p(a) factor(ratio,a,b)).

LogAverageFactor(Double, Double, Gaussian)

Evidence message for EP.

Declaration

public static double LogAverageFactor(double ratio, double a, Gaussian b)

Parameters

Type	Name	Description
Double	ratio	Constant value for ratio.
Double	a	Constant value for a.
Gaussian	b	Incoming message from b.

Returns

Type	Description
Double	Logarithm of the factor's average value across the given argument distributions.

Remarks

The formula for the result is log(sum_(b) p(b) factor(ratio,a,b)).

LogAverageFactor(Double, Double, Double)

Evidence message for EP.

Declaration

public static double LogAverageFactor(double ratio, double a, double b)

Parameters

Type	Name	Description
Double	ratio	Constant value for ratio.
Double	a	Constant value for a.
Double	b	Constant value for b.

Returns

Type	Description
Double	Logarithm of the factor's average value across the given argument distributions.

Remarks

The formula for the result is log(factor(ratio,a,b)).

LogEvidenceRatio(Gaussian, Gaussian, Double)

Evidence message for EP.

Declaration

public static double LogEvidenceRatio(Gaussian ratio, Gaussian a, double b)

Parameters

Type	Name	Description
Gaussian	ratio	Incoming message from ratio.
Gaussian	a	Incoming message from 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(sum_(ratio,a) p(ratio,a) factor(ratio,a,b) / sum_ratio p(ratio) messageTo(ratio)). Adding up these values across all factors and variables gives the log-evidence estimate for EP.

LogEvidenceRatio(Gaussian, Double, Gaussian)

Evidence message for EP.

Declaration

public static double LogEvidenceRatio(Gaussian ratio, double a, Gaussian b)

Parameters

Type	Name	Description
Gaussian	ratio	Incoming message from ratio.
Double	a	Constant value for a.
Gaussian	b	Incoming message from b.

Returns

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

Remarks

The formula for the result is log(sum_(ratio,b) p(ratio,b) factor(ratio,a,b) / sum_ratio p(ratio) messageTo(ratio)). Adding up these values across all factors and variables gives the log-evidence estimate for EP.

LogEvidenceRatio(Double, Gaussian, Double)

Evidence message for EP.

Declaration

public static double LogEvidenceRatio(double ratio, Gaussian a, double b)

Parameters

Type	Name	Description
Double	ratio	Constant value for ratio.
Gaussian	a	Incoming message from 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(sum_(a) p(a) factor(ratio,a,b)). Adding up these values across all factors and variables gives the log-evidence estimate for EP.

LogEvidenceRatio(Double, Double, Gaussian)

Evidence message for EP.

Declaration

public static double LogEvidenceRatio(double ratio, double a, Gaussian b)

Parameters

Type	Name	Description
Double	ratio	Constant value for ratio.
Double	a	Constant value for a.
Gaussian	b	Incoming message from 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(ratio,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 ratio, double a, double b)

Parameters

Type	Name	Description
Double	ratio	Constant value for ratio.
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(ratio,a,b)). Adding up these values across all factors and variables gives the log-evidence estimate for EP.