Class GaussianBetaProductOp

Provides outgoing messages for Product(Double, Double), given random arguments to the function.

Inheritance

Object

GaussianBetaProductOp

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

Methods

LogisticProposalDistribution(Beta, Gaussian)

Find the Laplace approximation for Beta(Logistic(x)) * Gaussian(x))

Declaration

public static Gaussian LogisticProposalDistribution(Beta beta, Gaussian gauss)

Parameters

Type	Name	Description
Beta	beta	Beta distribution
Gaussian	gauss	Gaussian distribution

Returns

Type	Description
Gaussian	A proposal distribution

ProposalDistribution(Gaussian, Gaussian, Beta)

Find a proposal distribution - we will use this to set the limits of integration

Declaration

public static Gaussian ProposalDistribution(Gaussian y, Gaussian a, Beta b)

Parameters

Type	Name	Description
Gaussian	y	Gaussian distribution for y
Gaussian	a	Gaussian distribution for a
Beta	b	Beta distribution for b

Returns

Type	Description
Gaussian	A proposal distribution