Class GaussianProductOpEvidenceBase

Inheritance

Object

GaussianProductOpBase

GaussianProductOpEvidenceBase

GaussianProductOp

GaussianProductOp_EM

GaussianProductOp_Laplace

GaussianProductOp_Laplace2

GaussianProductOp_LaplaceProp

GaussianProductOp_PointB

GaussianProductOp_Slow

Inherited Members

GaussianProductOpBase.ProductAverageConditional(Double, Gaussian)

GaussianProductOpBase.ProductAverageConditional(Gaussian, Double)

GaussianProductOpBase.ProductAverageConditional(Double, Double)

GaussianProductOpBase.AAverageConditional(Gaussian, Double)

GaussianProductOpBase.AAverageConditional(Double, Double)

GaussianProductOpBase.BAverageConditional(Gaussian, Double)

GaussianProductOpBase.BAverageConditional(Double, Double)

GaussianProductOpBase.ProductAverageConditional(Double, TruncatedGaussian)

GaussianProductOpBase.ProductAverageConditional(TruncatedGaussian, Double)

GaussianProductOpBase.AAverageConditional(TruncatedGaussian, Double)

GaussianProductOpBase.BAverageConditional(TruncatedGaussian, Double)

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

public class GaussianProductOpEvidenceBase : GaussianProductOpBase

Methods

LogAverageFactor(Gaussian, Gaussian, Double, Gaussian)

Evidence message for EP.

Declaration

[FactorMethod(typeof(Factor), "Product", new Type[]{typeof(double), typeof(double)})]
public static double LogAverageFactor(Gaussian product, Gaussian a, double b, Gaussian to_product)

Parameters

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

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_(product,a) p(product,a) factor(product,a,b)).

LogAverageFactor(Gaussian, Double, Gaussian, Gaussian)

Evidence message for EP.

Declaration

[FactorMethod(typeof(Factor), "Product", new Type[]{typeof(double), typeof(double)})]
public static double LogAverageFactor(Gaussian product, double a, Gaussian b, Gaussian to_product)

Parameters

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

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_(product,b) p(product,b) factor(product,a,b)).

LogAverageFactor(Gaussian, Double, Double)

Evidence message for EP.

Declaration

[FactorMethod(typeof(Factor), "Product", new Type[]{typeof(double), typeof(double)})]
public static double LogAverageFactor(Gaussian product, double a, double b)

Parameters

Type	Name	Description
Gaussian	product	Incoming message from product.
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_(product) p(product) factor(product,a,b)).

LogAverageFactor(Double, Gaussian, Double)

Evidence message for EP.

Declaration

[FactorMethod(typeof(Factor), "Product", new Type[]{typeof(double), typeof(double)})]
public static double LogAverageFactor(double product, Gaussian a, double b)

Parameters

Type	Name	Description
Double	product	Constant value for product.
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(product,a,b)).

LogAverageFactor(Double, Double, Gaussian)

Evidence message for EP.

Declaration

[FactorMethod(typeof(Factor), "Product", new Type[]{typeof(double), typeof(double)})]
public static double LogAverageFactor(double product, double a, Gaussian b)

Parameters

Type	Name	Description
Double	product	Constant value for product.
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(product,a,b)).

LogAverageFactor(Double, Double, Double)

Evidence message for EP.

Declaration

[FactorMethod(typeof(Factor), "Product", new Type[]{typeof(double), typeof(double)})]
public static double LogAverageFactor(double product, double a, double b)

Parameters

Type	Name	Description
Double	product	Constant value for product.
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(product,a,b)).

LogEvidenceRatio(Gaussian, Gaussian, Double)

Evidence message for EP.

Declaration

[FactorMethod(typeof(Factor), "Product", new Type[]{typeof(double), typeof(double)})]
public static double LogEvidenceRatio(Gaussian product, Gaussian a, double b)

Parameters

Type	Name	Description
Gaussian	product	Incoming message from product.
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_(product,a) p(product,a) factor(product,a,b) / sum_product p(product) messageTo(product)). 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

[FactorMethod(typeof(Factor), "Product", new Type[]{typeof(double), typeof(double)})]
public static double LogEvidenceRatio(Gaussian product, double a, Gaussian b)

Parameters

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

LogEvidenceRatio(Gaussian, Double, Double)

Evidence message for EP.

Declaration

[FactorMethod(typeof(Factor), "Product", new Type[]{typeof(double), typeof(double)})]
public static double LogEvidenceRatio(Gaussian product, double a, double b)

Parameters

Type	Name	Description
Gaussian	product	Incoming message from product.
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(sum_(product) p(product) factor(product,a,b) / sum_product p(product) messageTo(product)). 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

[FactorMethod(typeof(Factor), "Product", new Type[]{typeof(double), typeof(double)})]
public static double LogEvidenceRatio(double product, Gaussian a, double b)

Parameters

Type	Name	Description
Double	product	Constant value for product.
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(product,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

[FactorMethod(typeof(Factor), "Product", new Type[]{typeof(double), typeof(double)})]
public static double LogEvidenceRatio(double product, double a, Gaussian b)

Parameters

Type	Name	Description
Double	product	Constant value for product.
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(product,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

[FactorMethod(typeof(Factor), "Product", new Type[]{typeof(double), typeof(double)})]
public static double LogEvidenceRatio(double product, double a, double b)

Parameters

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