Class GaussianProductOp_PointB

Inheritance
Object
GaussianProductOpBase
GaussianProductOpEvidenceBase
GaussianProductOp_PointB
Inherited Members
Namespace: Microsoft.ML.Probabilistic.Factors
Assembly: Microsoft.ML.Probabilistic.dll
Syntax
[FactorMethod(typeof(Factor), "Product", new Type[]{typeof(double), typeof(double)})]
[Quality(QualityBand.Preview)]
public class GaussianProductOp_PointB : GaussianProductOpEvidenceBase
Remarks

This class requires B to be a point mass distribution.

Methods

AAverageConditional(Gaussian, Gaussian)

Declaration
public static Gaussian AAverageConditional(Gaussian Product, Gaussian B)
Parameters
Type Name Description
Gaussian Product
Gaussian B
Returns
Type Description
Gaussian

AAverageConditional(Gaussian, TruncatedGaussian)

Declaration
public static Gaussian AAverageConditional(Gaussian Product, TruncatedGaussian B)
Parameters
Type Name Description
Gaussian Product
TruncatedGaussian B
Returns
Type Description
Gaussian

BAverageConditional(Gaussian, Gaussian, Gaussian)

Declaration
public static Gaussian BAverageConditional(Gaussian Product, Gaussian A, Gaussian B)
Parameters
Type Name Description
Gaussian Product
Gaussian A
Gaussian B
Returns
Type Description
Gaussian

BAverageConditional(Gaussian, Gaussian, TruncatedGaussian)

Declaration
public static TruncatedGaussian BAverageConditional(Gaussian Product, Gaussian A, TruncatedGaussian B)
Parameters
Type Name Description
Gaussian Product
Gaussian A
TruncatedGaussian B
Returns
Type Description
TruncatedGaussian

LogEvidenceRatio(Gaussian, Gaussian, Gaussian)

Declaration
public static double LogEvidenceRatio(Gaussian Product, Gaussian A, Gaussian B)
Parameters
Type Name Description
Gaussian Product
Gaussian A
Gaussian B
Returns
Type Description
Double

LogEvidenceRatio(Gaussian, Gaussian, TruncatedGaussian)

Declaration
public static double LogEvidenceRatio(Gaussian Product, Gaussian A, TruncatedGaussian B)
Parameters
Type Name Description
Gaussian Product
Gaussian A
TruncatedGaussian B
Returns
Type Description
Double

LogEvidenceRatio(Double, Gaussian, Gaussian)

Declaration
public static double LogEvidenceRatio(double Product, Gaussian A, Gaussian B)
Parameters
Type Name Description
Double Product
Gaussian A
Gaussian B
Returns
Type Description
Double

LogEvidenceRatio(Double, Gaussian, TruncatedGaussian)

Declaration
public static double LogEvidenceRatio(double Product, Gaussian A, TruncatedGaussian B)
Parameters
Type Name Description
Double Product
Gaussian A
TruncatedGaussian B
Returns
Type Description
Double

ProductAverageConditional(Gaussian, Gaussian)

Declaration
public static Gaussian ProductAverageConditional(Gaussian A, Gaussian B)
Parameters
Type Name Description
Gaussian A
Gaussian B
Returns
Type Description
Gaussian

ProductAverageConditional(Gaussian, TruncatedGaussian)

Declaration
public static Gaussian ProductAverageConditional(Gaussian A, TruncatedGaussian B)
Parameters
Type Name Description
Gaussian A
TruncatedGaussian B
Returns
Type Description
Gaussian