Class BernoulliFromBooleanArray

Provides outgoing messages for BernoulliFromBoolean(Boolean, Double[]), given random arguments to the function.

Inheritance

Object

BernoulliFromBooleanArray

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(new string[]{"Sample", "Choice", "ProbTrue"}, typeof(Factor), "BernoulliFromBoolean", new Type[]{typeof(bool), typeof(double[])})]
public static class BernoulliFromBooleanArray

Methods

ChoiceAverageConditional(Bernoulli, Double[])

EP message to choice.

Declaration

public static Bernoulli ChoiceAverageConditional(Bernoulli sample, double[] probTrue)

Parameters

Type	Name	Description
Bernoulli	sample	Incoming message from sample.
Double[]	probTrue	Constant value for probTrue.

Returns

Type	Description
Bernoulli	The outgoing EP message to the choice argument.

Remarks

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

ChoiceAverageLogarithm(Bernoulli, Double[])

VMP message to choice.

Declaration

public static Bernoulli ChoiceAverageLogarithm(Bernoulli sample, double[] probTrue)

Parameters

Type	Name	Description
Bernoulli	sample	Incoming message from sample.
Double[]	probTrue	Constant value for probTrue.

Returns

Type	Description
Bernoulli	The outgoing VMP message to the choice argument.

Remarks

The outgoing message is the exponential of the average log-factor value, where the average is over all arguments except choice. The formula is exp(sum_(sample) p(sample) log(factor(sample,choice,probTrue))).

SampleAverageConditional(Bernoulli, Double[])

EP message to sample.

Declaration

public static Bernoulli SampleAverageConditional(Bernoulli choice, double[] probTrue)

Parameters

Type	Name	Description
Bernoulli	choice	Incoming message from choice.
Double[]	probTrue	Constant value for probTrue.

Returns

Type	Description
Bernoulli	The outgoing EP message to the sample argument.

Remarks

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

SampleAverageConditional(Boolean, Double[])

EP message to sample.

Declaration

public static Bernoulli SampleAverageConditional(bool choice, double[] probTrue)

Parameters

Type	Name	Description
Boolean	choice	Constant value for choice.
Double[]	probTrue	Constant value for probTrue.

Returns

Type	Description
Bernoulli	The outgoing EP message to the sample argument.

Remarks

The outgoing message is the factor viewed as a function of sample conditioned on the given values.

SampleAverageLogarithm(Bernoulli, Double[])

VMP message to sample.

Declaration

public static Bernoulli SampleAverageLogarithm(Bernoulli choice, double[] probTrue)

Parameters

Type	Name	Description
Bernoulli	choice	Incoming message from choice.
Double[]	probTrue	Constant value for probTrue.

Returns

Type	Description
Bernoulli	The outgoing VMP message to the sample argument.

Remarks

The outgoing message is the exponential of the average log-factor value, where the average is over all arguments except sample. The formula is exp(sum_(choice) p(choice) log(factor(sample,choice,probTrue))).