Class IsPositiveOp_Proper

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

Inheritance

Object

IsPositiveOp_Proper

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), "IsPositive", new Type[]{typeof(double)}, Default = true)]
[Quality(QualityBand.Mature)]
public static class IsPositiveOp_Proper

Methods

XAverageConditional(Bernoulli, Gaussian)

EP message to x.

Declaration

public static Gaussian XAverageConditional(Bernoulli isPositive, Gaussian x)

Parameters

Type	Name	Description
Bernoulli	isPositive	Incoming message from isPositive. Must be a proper distribution. If uniform, the result will be uniform.
Gaussian	x	Incoming message from x. Must be a proper distribution. If uniform, the result will be uniform.

Returns

Type	Description
Gaussian	The outgoing EP message to the x argument.

Remarks

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

Exceptions

Type	Condition
ImproperMessageException	isPositive is not a proper distribution.
ImproperMessageException	x is not a proper distribution.