Class GaussianProductOpBase

Provides outgoing messages for the following factors:

, given random arguments to the function.

Inheritance

Object

GaussianProductOpBase

GaussianProductOpEvidenceBase

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

public class GaussianProductOpBase

Methods

AAverageConditional(Gaussian, Double)

EP message to a.

Declaration

public static Gaussian AAverageConditional(Gaussian Product, double B)

Parameters

Type	Name	Description
Gaussian	Product	Incoming message from `product`. Must be a proper distribution. If uniform, the result will be uniform.
Double	B	Constant value for `b`.

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

Exceptions

Type	Condition
ImproperMessageException	`Product` is not a proper distribution.

AAverageConditional(TruncatedGaussian, Double)

EP message to a.

Declaration

public static TruncatedGaussian AAverageConditional(TruncatedGaussian Product, double B)

Parameters

Type	Name	Description
TruncatedGaussian	Product	Incoming message from `product`. Must be a proper distribution. If uniform, the result will be uniform.
Double	B	Constant value for `b`.

Returns

Type	Description
TruncatedGaussian	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_(product) p(product) factor(product,a,b)]/p(a).

Exceptions

Type	Condition
ImproperMessageException	`Product` is not a proper distribution.

AAverageConditional(Double, Double)

EP message to a.

Declaration

public static Gaussian AAverageConditional(double Product, double B)

Parameters

Type	Name	Description
Double	Product	Constant value for `product`.
Double	B	Constant value for `b`.

Returns

Type	Description
Gaussian	The outgoing EP message to the `a` argument.

Remarks

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

BAverageConditional(Gaussian, Double)

EP message to b.

Declaration

public static Gaussian BAverageConditional(Gaussian Product, double A)

Parameters

Type	Name	Description
Gaussian	Product	Incoming message from `product`. Must be a proper distribution. If uniform, the result will be uniform.
Double	A	Constant value for `a`.

Returns

Type	Description
Gaussian	The outgoing EP message to the `b` argument.

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

Exceptions

Type	Condition
ImproperMessageException	`Product` is not a proper distribution.

BAverageConditional(TruncatedGaussian, Double)

EP message to b.

Declaration

public static TruncatedGaussian BAverageConditional(TruncatedGaussian Product, double A)

Parameters

Type	Name	Description
TruncatedGaussian	Product	Incoming message from `product`. Must be a proper distribution. If uniform, the result will be uniform.
Double	A	Constant value for `a`.

Returns

Type	Description
TruncatedGaussian	The outgoing EP message to the `b` argument.

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

Exceptions

Type	Condition
ImproperMessageException	`Product` is not a proper distribution.

BAverageConditional(Double, Double)

EP message to b.

Declaration

public static Gaussian BAverageConditional(double Product, double A)

Parameters

Type	Name	Description
Double	Product	Constant value for `product`.
Double	A	Constant value for `a`.

Returns

Type	Description
Gaussian	The outgoing EP message to the `b` argument.

Remarks

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

ProductAverageConditional(Gaussian, Double)

EP message to product.

Declaration

public static Gaussian ProductAverageConditional(Gaussian A, double B)

Parameters

Type	Name	Description
Gaussian	A	Incoming message from `a`. Must be a proper distribution. If uniform, the result will be uniform.
Double	B	Constant value for `b`.

Returns

Type	Description
Gaussian	The outgoing EP message to the `product` argument.

Remarks

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

Exceptions

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

ProductAverageConditional(TruncatedGaussian, Double)

EP message to product.

Declaration

public static TruncatedGaussian ProductAverageConditional(TruncatedGaussian A, double B)

Parameters

Type	Name	Description
TruncatedGaussian	A	Incoming message from `a`. Must be a proper distribution. If uniform, the result will be uniform.
Double	B	Constant value for `b`.

Returns

Type	Description
TruncatedGaussian	The outgoing EP message to the `product` argument.

Remarks

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

Exceptions

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

ProductAverageConditional(Double, Gaussian)

EP message to product.

Declaration

public static Gaussian ProductAverageConditional(double A, Gaussian B)

Parameters

Type	Name	Description
Double	A	Constant value for `a`.
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 `product` argument.

Remarks

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

Exceptions

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

ProductAverageConditional(Double, TruncatedGaussian)

EP message to product.

Declaration

public static TruncatedGaussian ProductAverageConditional(double A, TruncatedGaussian B)

Parameters

Type	Name	Description
Double	A	Constant value for `a`.
TruncatedGaussian	B	Incoming message from `b`. Must be a proper distribution. If uniform, the result will be uniform.

Returns

Type	Description
TruncatedGaussian	The outgoing EP message to the `product` argument.

Remarks

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

Exceptions

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

ProductAverageConditional(Double, Double)

EP message to product.

Declaration

public static Gaussian ProductAverageConditional(double a, double b)

Parameters

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

Returns

Type	Description
Gaussian	The outgoing EP message to the `product` argument.

Remarks

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