Class InnerProductOp_PointB

Provides outgoing messages for InnerProduct(Vector, Vector), given random arguments to the function.

Inheritance
Object
InnerProductOpBase
InnerProductOp_PointB
Inherited Members
Namespace: Microsoft.ML.Probabilistic.Factors
Assembly: Microsoft.ML.Probabilistic.dll
Syntax
[FactorMethod(typeof(Vector), "InnerProduct", new Type[]{}, Default = false)]
[Buffers(new string[]{"AVariance", "AMean"})]
[Quality(QualityBand.Experimental)]
public class InnerProductOp_PointB : InnerProductOpBase

Methods

AAverageConditional(Gaussian, VectorGaussian, VectorGaussian)

EP message to a.

Declaration
public static VectorGaussian AAverageConditional(Gaussian innerProduct, VectorGaussian B, VectorGaussian result)
Parameters
Type Name Description
Gaussian innerProduct

Incoming message from innerProduct. Must be a proper distribution. If uniform, the result will be uniform.
VectorGaussian B

Incoming message from b. Must be a proper distribution. If any element is uniform, the result will be uniform.
VectorGaussian result

Modified to contain the outgoing message.
Returns
Type Description
VectorGaussian

result
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

innerProduct is not a proper distribution.
ImproperMessageException

B is not a proper distribution.

BAverageConditional(Gaussian, DenseVector, PositiveDefiniteMatrix, VectorGaussian, VectorGaussian)

Declaration
public static VectorGaussian BAverageConditional(Gaussian innerProduct, DenseVector AMean, PositiveDefiniteMatrix AVariance, VectorGaussian B, VectorGaussian result)
Parameters
Type Name Description
Gaussian innerProduct
DenseVector AMean
PositiveDefiniteMatrix AVariance
VectorGaussian B
VectorGaussian result
Returns
Type Description
VectorGaussian

InnerProductAverageConditional(DenseVector, PositiveDefiniteMatrix, VectorGaussian)

EP message to innerProduct.

Declaration
public static Gaussian InnerProductAverageConditional(DenseVector AMean, PositiveDefiniteMatrix AVariance, VectorGaussian B)
Parameters
Type Name Description
DenseVector AMean

Buffer AMean.
PositiveDefiniteMatrix AVariance

Buffer AVariance.
VectorGaussian 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.