Class ExpOp_BFGS

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

Inheritance

Object

ExpOp_BFGS

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(Math), "Exp", new Type[]{typeof(double)})]
[Quality(QualityBand.Preview)]
public class ExpOp_BFGS

Methods

DAverageLogarithm(Gamma, Gaussian, Gaussian)

VMP message to d.

Declaration

public static Gaussian DAverageLogarithm(Gamma exp, Gaussian d, Gaussian to_d)

Parameters

Type	Name	Description
Gamma	exp	Incoming message from exp. Must be a proper distribution. If uniform, the result will be uniform.
Gaussian	d	Incoming message from d. Must be a proper distribution. If uniform, the result will be uniform.
Gaussian	to_d	Previous outgoing message to d.

Returns

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

Remarks

The outgoing message is the factor viewed as a function of d with exp integrated out. The formula is sum_exp p(exp) factor(exp,d).

Exceptions

Type	Condition
ImproperMessageException	exp is not a proper distribution.
ImproperMessageException	d is not a proper distribution.