Class InnerProductArrayOp

Provides outgoing messages for InnerProduct(Double[], Double[]), given random arguments to the function.

Inheritance

Object

InnerProductArrayOp

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), "InnerProduct", new Type[]{typeof(double[]), typeof(double[])})]
[Quality(QualityBand.Experimental)]
public static class InnerProductArrayOp

Methods

AAverageConditional<GaussianList>(Gaussian, IList<Gaussian>, GaussianList)

EP message to a.

Declaration

[NotSupported("A InnerProduct factor between two Gaussian arrays is not yet implemented for Expectation Propagation.  Try using Variational Message Passing.")]
public static GaussianList AAverageConditional<GaussianList>(Gaussian innerProduct, IList<Gaussian> B, GaussianList result)
    where GaussianList : IList<Gaussian>

Parameters

Type	Name	Description
Gaussian	innerProduct	Incoming message from innerProduct.
IList<Gaussian>	B	Incoming message from b. Must be a proper distribution. If any element is uniform, the result will be uniform.
GaussianList	result	Modified to contain the outgoing message.

Returns

Type	Description
GaussianList	result

Type Parameters

Name	Description
GaussianList

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_(innerProduct,b) p(innerProduct,b) factor(innerProduct,a,b)]/p(a).

Exceptions

Type	Condition
ImproperMessageException	B is not a proper distribution.

AAverageConditional<GaussianList>(Gaussian, IList<Gaussian>, Double[], Gaussian, GaussianList)

EP message to a.

Declaration

public static GaussianList AAverageConditional<GaussianList>(Gaussian innerProduct, IList<Gaussian> A, double[] B, Gaussian to_innerProduct, GaussianList result)
    where GaussianList : IList<Gaussian>

Parameters

Type	Name	Description
Gaussian	innerProduct	Incoming message from innerProduct. Must be a proper distribution. If uniform, the result will be uniform.
IList<Gaussian>	A	Incoming message from a.
Double[]	B	Constant value for b.
Gaussian	to_innerProduct	Outgoing message to innerProduct.
GaussianList	result	Modified to contain the outgoing message.

Returns

Type	Description
GaussianList	result

Type Parameters

Name	Description
GaussianList

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_(innerProduct) p(innerProduct) factor(innerProduct,a,b)]/p(a).

Exceptions

Type	Condition
ImproperMessageException	innerProduct is not a proper distribution.

AAverageConditional<GaussianList>(Double, Double[], GaussianList)

EP message to a.

Declaration

[NotSupported("A InnerProduct factor with fixed output is not yet implemented for Expectation Propagation.")]
public static GaussianList AAverageConditional<GaussianList>(double innerProduct, double[] B, GaussianList result)
    where GaussianList : IList<Gaussian>

Parameters

Type	Name	Description
Double	innerProduct	Constant value for innerProduct.
Double[]	B	Constant value for b.
GaussianList	result	Modified to contain the outgoing message.

Returns

Type	Description
GaussianList	result

Type Parameters

Name	Description
GaussianList

Remarks

The outgoing message is the factor viewed as a function of a conditioned on the given values.

AAverageLogarithm<GaussianList>(Gaussian, IList<Gaussian>, IList<Gaussian>, GaussianList)

VMP message to a.

Declaration

public static GaussianList AAverageLogarithm<GaussianList>(Gaussian innerProduct, IList<Gaussian> A, IList<Gaussian> B, GaussianList to_A)
    where GaussianList : IList<Gaussian>

Parameters

Type	Name	Description
Gaussian	innerProduct	Incoming message from innerProduct. Must be a proper distribution. If uniform, the result will be uniform.
IList<Gaussian>	A	Incoming message from a.
IList<Gaussian>	B	Incoming message from b. Must be a proper distribution. If any element is uniform, the result will be uniform.
GaussianList	to_A	Previous outgoing message to A.

Returns

Type	Description
GaussianList	The outgoing VMP message to the a argument.

Type Parameters

Name	Description
GaussianList

Remarks

The outgoing message is the exponential of the average log-factor value, where the average is over all arguments except a. Because the factor is deterministic, innerProduct is integrated out before taking the logarithm. The formula is exp(sum_(b) p(b) log(sum_innerProduct p(innerProduct) factor(innerProduct,a,b))).

Exceptions

Type	Condition
ImproperMessageException	innerProduct is not a proper distribution.
ImproperMessageException	B is not a proper distribution.

AAverageLogarithm<GaussianList>(Gaussian, IList<Gaussian>, Double[], GaussianList)

VMP message to a.

Declaration

public static GaussianList AAverageLogarithm<GaussianList>(Gaussian innerProduct, IList<Gaussian> A, double[] B, GaussianList to_A)
    where GaussianList : IList<Gaussian>

Parameters

Type	Name	Description
Gaussian	innerProduct	Incoming message from innerProduct. Must be a proper distribution. If uniform, the result will be uniform.
IList<Gaussian>	A	Incoming message from a. Must be a proper distribution. If any element is uniform, the result will be uniform.
Double[]	B	Constant value for b.
GaussianList	to_A	Previous outgoing message to A.

Returns

Type	Description
GaussianList	The outgoing VMP message to the a argument.

Type Parameters

Name	Description
GaussianList

Remarks

The outgoing message is the factor viewed as a function of a with innerProduct integrated out. The formula is sum_innerProduct p(innerProduct) factor(innerProduct,a,b).

Exceptions

Type	Condition
ImproperMessageException	innerProduct is not a proper distribution.
ImproperMessageException	A is not a proper distribution.

AAverageLogarithm<GaussianList>(Double)

Declaration

[NotSupported("Variational Message Passing does not support a InnerProduct factor with fixed output.")]
public static GaussianList AAverageLogarithm<GaussianList>(double innerProduct)
    where GaussianList : IList<Gaussian>

Parameters

Type	Name	Description
Double	innerProduct

Returns

Type	Description
GaussianList

Type Parameters

Name	Description
GaussianList

AverageLogFactor()

Evidence message for VMP.

Declaration

public static double AverageLogFactor()

Returns

Type	Description
Double	Zero.

Remarks

The formula for the result is log(factor(innerProduct,a,b)). Adding up these values across all factors and variables gives the log-evidence estimate for VMP.

AverageLogFactor(Double, Double[], Double[])

Evidence message for VMP.

Declaration

public static double AverageLogFactor(double innerProduct, double[] A, double[] B)

Parameters

Type	Name	Description
Double	innerProduct	Constant value for innerProduct.
Double[]	A	Constant value for a.
Double[]	B	Constant value for b.

Returns

Type	Description
Double	Zero.

Remarks

The formula for the result is log(factor(innerProduct,a,b)). Adding up these values across all factors and variables gives the log-evidence estimate for VMP.

BAverageConditional<GaussianList>(Gaussian, IList<Gaussian>, GaussianList)

EP message to b.

Declaration

[NotSupported("A InnerProduct factor between two Gaussian arrays is not yet implemented for Expectation Propagation.  Try using Variational Message Passing.")]
public static GaussianList BAverageConditional<GaussianList>(Gaussian innerProduct, IList<Gaussian> A, GaussianList result)
    where GaussianList : IList<Gaussian>

Parameters

Type	Name	Description
Gaussian	innerProduct	Incoming message from innerProduct.
IList<Gaussian>	A	Incoming message from a. Must be a proper distribution. If any element is uniform, the result will be uniform.
GaussianList	result	Modified to contain the outgoing message.

Returns

Type	Description
GaussianList	result

Type Parameters

Name	Description
GaussianList

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_(innerProduct,a) p(innerProduct,a) factor(innerProduct,a,b)]/p(b).

Exceptions

Type	Condition
ImproperMessageException	A is not a proper distribution.

BAverageConditional<GaussianList>(Gaussian, Double[], IList<Gaussian>, Gaussian, GaussianList)

EP message to b.

Declaration

public static GaussianList BAverageConditional<GaussianList>(Gaussian innerProduct, double[] A, IList<Gaussian> B, Gaussian to_innerProduct, GaussianList result)
    where GaussianList : IList<Gaussian>

Parameters

Type	Name	Description
Gaussian	innerProduct	Incoming message from innerProduct. Must be a proper distribution. If uniform, the result will be uniform.
Double[]	A	Constant value for a.
IList<Gaussian>	B	Incoming message from b. Must be a proper distribution. If any element is uniform, the result will be uniform.
Gaussian	to_innerProduct	Previous outgoing message to innerProduct.
GaussianList	result	Modified to contain the outgoing message.

Returns

Type	Description
GaussianList	result

Type Parameters

Name	Description
GaussianList

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_(innerProduct) p(innerProduct) factor(innerProduct,a,b)]/p(b).

Exceptions

Type	Condition
ImproperMessageException	innerProduct is not a proper distribution.
ImproperMessageException	B is not a proper distribution.

BAverageConditional<GaussianList>(Double, Double[], GaussianList)

EP message to b.

Declaration

[NotSupported("A InnerProduct factor with fixed output is not yet implemented for Expectation Propagation.")]
public static GaussianList BAverageConditional<GaussianList>(double innerProduct, double[] A, GaussianList result)
    where GaussianList : IList<Gaussian>

Parameters

Type	Name	Description
Double	innerProduct	Constant value for innerProduct.
Double[]	A	Constant value for a.
GaussianList	result	Modified to contain the outgoing message.

Returns

Type	Description
GaussianList	result

Type Parameters

Name	Description
GaussianList

Remarks

The outgoing message is the factor viewed as a function of b conditioned on the given values.

BAverageLogarithm(Double)

VMP message to b.

Declaration

[NotSupported("Variational Message Passing does not support a InnerProduct factor with fixed output.")]
public static IList<Gaussian> BAverageLogarithm(double innerProduct)

Parameters

Type	Name	Description
Double	innerProduct	Constant value for innerProduct.

Returns

Type	Description
IList<Gaussian>	The outgoing VMP message to the b argument.

Remarks

The outgoing message is the factor viewed as a function of b conditioned on the given values.

BAverageLogarithm<GaussianList>(Gaussian, IList<Gaussian>, IList<Gaussian>, GaussianList)

VMP message to b.

Declaration

public static GaussianList BAverageLogarithm<GaussianList>(Gaussian innerProduct, IList<Gaussian> A, IList<Gaussian> B, GaussianList to_B)
    where GaussianList : IList<Gaussian>

Parameters

Type	Name	Description
Gaussian	innerProduct	Incoming message from innerProduct. Must be a proper distribution. If uniform, the result will be uniform.
IList<Gaussian>	A	Incoming message from a. Must be a proper distribution. If any element is uniform, the result will be uniform.
IList<Gaussian>	B	Incoming message from b. Must be a proper distribution. If any element is uniform, the result will be uniform.
GaussianList	to_B	Previous outgoing message to B.

Returns

Type	Description
GaussianList	The outgoing VMP message to the b argument.

Type Parameters

Name	Description
GaussianList

Remarks

The outgoing message is the exponential of the average log-factor value, where the average is over all arguments except b. Because the factor is deterministic, innerProduct is integrated out before taking the logarithm. The formula is exp(sum_(a) p(a) log(sum_innerProduct p(innerProduct) factor(innerProduct,a,b))).

Exceptions

Type	Condition
ImproperMessageException	innerProduct is not a proper distribution.
ImproperMessageException	A is not a proper distribution.
ImproperMessageException	B is not a proper distribution.

BAverageLogarithm<GaussianList>(Gaussian, Double[], IList<Gaussian>, GaussianList)

VMP message to b.

Declaration

public static GaussianList BAverageLogarithm<GaussianList>(Gaussian innerProduct, double[] A, IList<Gaussian> B, GaussianList to_B)
    where GaussianList : IList<Gaussian>

Parameters

Type	Name	Description
Gaussian	innerProduct	Incoming message from innerProduct. Must be a proper distribution. If uniform, the result will be uniform.
Double[]	A	Constant value for a.
IList<Gaussian>	B	Incoming message from b. Must be a proper distribution. If any element is uniform, the result will be uniform.
GaussianList	to_B	Previous outgoing message to B.

Returns

Type	Description
GaussianList	The outgoing VMP message to the b argument.

Type Parameters

Name	Description
GaussianList

Remarks

The outgoing message is the factor viewed as a function of b with innerProduct integrated out. The formula is sum_innerProduct p(innerProduct) factor(innerProduct,a,b).

Exceptions

Type	Condition
ImproperMessageException	innerProduct is not a proper distribution.
ImproperMessageException	B is not a proper distribution.

InnerProductAverageConditional(IList<Gaussian>, IList<Gaussian>, IList<Gaussian>)

EP message to innerProduct.

Declaration

[NotSupported("A InnerProduct factor between two Gaussian arrays is not yet implemented for Expectation Propagation.  Try using Variational Message Passing.")]
public static Gaussian InnerProductAverageConditional(IList<Gaussian> A, IList<Gaussian> B, IList<Gaussian> result)

Parameters

Type	Name	Description
IList<Gaussian>	A	Incoming message from a. Must be a proper distribution. If any element is uniform, the result will be uniform.
IList<Gaussian>	B	Incoming message from b. Must be a proper distribution. If any element is uniform, the result will be uniform.
IList<Gaussian>	result	Modified to contain the outgoing message.

Returns

Type	Description
Gaussian	result

Remarks

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

Exceptions

Type	Condition
ImproperMessageException	A is not a proper distribution.
ImproperMessageException	B is not a proper distribution.

InnerProductAverageConditional(IList<Gaussian>, Double[])

EP message to innerProduct.

Declaration

public static Gaussian InnerProductAverageConditional(IList<Gaussian> A, double[] B)

Parameters

Type	Name	Description
IList<Gaussian>	A	Incoming message from a. Must be a proper distribution. If any element is uniform, the result will be uniform.
Double[]	B	Constant value for b.

Returns

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

Remarks

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

Exceptions

Type	Condition
ImproperMessageException	A is not a proper distribution.

InnerProductAverageConditional(Double[], IList<Gaussian>)

EP message to innerProduct.

Declaration

public static Gaussian InnerProductAverageConditional(double[] A, IList<Gaussian> B)

Parameters

Type	Name	Description
Double[]	A	Constant value for a.
IList<Gaussian>	B	Incoming message from b. Must be a proper distribution. If any element is uniform, the result will be uniform.

Returns

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

Remarks

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

Exceptions

Type	Condition
ImproperMessageException	B is not a proper distribution.

InnerProductAverageLogarithm(IList<Gaussian>, IList<Gaussian>, Gaussian)

VMP message to innerProduct.

Declaration

public static Gaussian InnerProductAverageLogarithm(IList<Gaussian> A, IList<Gaussian> B, Gaussian result)

Parameters

Type	Name	Description
IList<Gaussian>	A	Incoming message from a. Must be a proper distribution. If any element is uniform, the result will be uniform.
IList<Gaussian>	B	Incoming message from b. Must be a proper distribution. If any element is uniform, the result will be uniform.
Gaussian	result	Modified to contain the outgoing message.

Returns

Type	Description
Gaussian	result

Remarks

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

Exceptions

Type	Condition
ImproperMessageException	A is not a proper distribution.
ImproperMessageException	B is not a proper distribution.

InnerProductAverageLogarithm(IList<Gaussian>, Double[])

VMP message to innerProduct.

Declaration

public static Gaussian InnerProductAverageLogarithm(IList<Gaussian> A, double[] B)

Parameters

Type	Name	Description
IList<Gaussian>	A	Incoming message from a. Must be a proper distribution. If any element is uniform, the result will be uniform.
Double[]	B	Constant value for b.

Returns

Type	Description
Gaussian	The outgoing VMP message to the innerProduct argument.

Remarks

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

Exceptions

Type	Condition
ImproperMessageException	A is not a proper distribution.

InnerProductAverageLogarithm(Double[], IList<Gaussian>)

VMP message to innerProduct.

Declaration

public static Gaussian InnerProductAverageLogarithm(double[] A, IList<Gaussian> B)

Parameters

Type	Name	Description
Double[]	A	Constant value for a.
IList<Gaussian>	B	Incoming message from b. Must be a proper distribution. If any element is uniform, the result will be uniform.

Returns

Type	Description
Gaussian	The outgoing VMP message to the innerProduct argument.

Remarks

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

Exceptions

Type	Condition
ImproperMessageException	B is not a proper distribution.

InnerProductAverageLogarithmInit(IList<Gaussian>, IList<Gaussian>)

Declaration

public static Gaussian InnerProductAverageLogarithmInit(IList<Gaussian> A, IList<Gaussian> B)

Parameters

Type	Name	Description
IList<Gaussian>	A	Incoming message from a.
IList<Gaussian>	B	Incoming message from b.

Returns

Type	Description
Gaussian

Remarks

InnerProductAverageLogarithmInit(IList<Gaussian>, Double[])

Declaration

public static Gaussian InnerProductAverageLogarithmInit(IList<Gaussian> A, double[] B)

Parameters

Type	Name	Description
IList<Gaussian>	A	Incoming message from a.
Double[]	B	Constant value for b.

Returns

Type	Description
Gaussian

Remarks

InnerProductAverageLogarithmInit(Double[], IList<Gaussian>)

Declaration

public static Gaussian InnerProductAverageLogarithmInit(double[] A, IList<Gaussian> B)

Parameters

Type	Name	Description
Double[]	A	Constant value for a.
IList<Gaussian>	B	Incoming message from b.

Returns

Type	Description
Gaussian

Remarks

LogAverageFactor(Gaussian, IList<Gaussian>, Double[])

Evidence message for EP.

Declaration

public static double LogAverageFactor(Gaussian innerProduct, IList<Gaussian> A, double[] B)

Parameters

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

LogAverageFactor(Gaussian, Double[], IList<Gaussian>)

Evidence message for EP.

Declaration

public static double LogAverageFactor(Gaussian innerProduct, double[] A, IList<Gaussian> B)

Parameters

Type	Name	Description
Gaussian	innerProduct	Incoming message from innerProduct.
Double[]	A	Constant value for a.
IList<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_(innerProduct,b) p(innerProduct,b) factor(innerProduct,a,b)).

LogAverageFactor(Double, IList<Gaussian>, Double[])

Evidence message for EP.

Declaration

public static double LogAverageFactor(double innerProduct, IList<Gaussian> A, double[] B)

Parameters

Type	Name	Description
Double	innerProduct	Constant value for innerProduct.
IList<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(innerProduct,a,b)).

LogAverageFactor(Double, Double[], IList<Gaussian>)

Evidence message for EP.

Declaration

public static double LogAverageFactor(double innerProduct, double[] A, IList<Gaussian> B)

Parameters

Type	Name	Description
Double	innerProduct	Constant value for innerProduct.
Double[]	A	Constant value for a.
IList<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(innerProduct,a,b)).

LogAverageFactor(Double, Double[], Double[])

Evidence message for EP.

Declaration

public static double LogAverageFactor(double innerProduct, double[] A, double[] B)

Parameters

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

LogEvidenceRatio(Gaussian, IList<Gaussian>, Double[])

Evidence message for EP.

Declaration

public static double LogEvidenceRatio(Gaussian innerProduct, IList<Gaussian> A, double[] B)

Parameters

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

LogEvidenceRatio(Gaussian, Double[], IList<Gaussian>)

Evidence message for EP.

Declaration

public static double LogEvidenceRatio(Gaussian innerProduct, double[] A, IList<Gaussian> B)

Parameters

Type	Name	Description
Gaussian	innerProduct	Incoming message from innerProduct.
Double[]	A	Constant value for a.
IList<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_(innerProduct,b) p(innerProduct,b) factor(innerProduct,a,b) / sum_innerProduct p(innerProduct) messageTo(innerProduct)). Adding up these values across all factors and variables gives the log-evidence estimate for EP.

LogEvidenceRatio(Double, IList<Gaussian>, Double[])

Evidence message for EP.

Declaration

public static double LogEvidenceRatio(double innerProduct, IList<Gaussian> A, double[] B)

Parameters

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

LogEvidenceRatio(Double, Double[], IList<Gaussian>)

Evidence message for EP.

Declaration

public static double LogEvidenceRatio(double innerProduct, double[] A, IList<Gaussian> B)

Parameters

Type	Name	Description
Double	innerProduct	Constant value for innerProduct.
Double[]	A	Constant value for a.
IList<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(innerProduct,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 innerProduct, double[] A, double[] B)

Parameters

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