Class IntegerPlusOp

Provides outgoing messages for the following factors:

, given random arguments to the function.

Inheritance

Object

IntegerPlusOp

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), "Plus", new Type[]{typeof(int), typeof(int)})]
[FactorMethod(new string[]{"A", "Sum", "B"}, typeof(Factor), "Difference", new Type[]{typeof(int), typeof(int)})]
[Quality(QualityBand.Stable)]
public static class IntegerPlusOp

Methods

AAverageConditional(Discrete, Discrete, Discrete)

EP message to A.

Declaration

public static Discrete AAverageConditional(Discrete sum, Discrete b, Discrete result)

Parameters

Type	Name	Description
Discrete	sum	Incoming message from `Sum`.
Discrete	b	Incoming message from `B`.
Discrete	result	Modified to contain the outgoing message.

Returns

Type	Description
Discrete	`result`

Remarks

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

AAverageConditional(Discrete, Int32, Discrete)

EP message to A.

Declaration

public static Discrete AAverageConditional(Discrete sum, int b, Discrete result)

Parameters

Type	Name	Description
Discrete	sum	Incoming message from `Sum`.
Int32	b	Constant value for `B`.
Discrete	result	Modified to contain the outgoing message.

Returns

Type	Description
Discrete	`result`

Remarks

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

AAverageConditional(Poisson, Poisson, Poisson)

EP message to A.

Declaration

public static Poisson AAverageConditional(Poisson sum, Poisson a, Poisson b)

Parameters

Type	Name	Description
Poisson	sum	Incoming message from `Sum`.
Poisson	a	Incoming message from `A`.
Poisson	b	Incoming message from `B`.

Returns

Type	Description
Poisson	The outgoing EP message to the `A` argument.

Remarks

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

AAverageConditional(Int32, Discrete, Discrete)

EP message to A.

Declaration

public static Discrete AAverageConditional(int sum, Discrete b, Discrete result)

Parameters

Type	Name	Description
Int32	sum	Constant value for `Sum`.
Discrete	b	Incoming message from `B`.
Discrete	result	Modified to contain the outgoing message.

Returns

Type	Description
Discrete	`result`

Remarks

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

AAverageConditional(Int32, Poisson, Poisson)

EP message to A.

Declaration

public static Poisson AAverageConditional(int sum, Poisson a, Poisson b)

Parameters

Type	Name	Description
Int32	sum	Constant value for `Sum`.
Poisson	a	Incoming message from `A`.
Poisson	b	Incoming message from `B`.

Returns

Type	Description
Poisson	The outgoing EP message to the `A` argument.

Remarks

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

AAverageConditional(Int32, Int32, Discrete)

EP message to A.

Declaration

public static Discrete AAverageConditional(int sum, int b, Discrete result)

Parameters

Type	Name	Description
Int32	sum	Constant value for `Sum`.
Int32	b	Constant value for `B`.
Discrete	result	Modified to contain the outgoing message.

Returns

Type	Description
Discrete	`result`

Remarks

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

BAverageConditional(Discrete, Discrete, Discrete)

EP message to B.

Declaration

public static Discrete BAverageConditional(Discrete sum, Discrete a, Discrete result)

Parameters

Type	Name	Description
Discrete	sum	Incoming message from `Sum`.
Discrete	a	Incoming message from `A`.
Discrete	result	Modified to contain the outgoing message.

Returns

Type	Description
Discrete	`result`

Remarks

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

BAverageConditional(Discrete, Int32, Discrete)

EP message to B.

Declaration

public static Discrete BAverageConditional(Discrete sum, int a, Discrete result)

Parameters

Type	Name	Description
Discrete	sum	Incoming message from `Sum`.
Int32	a	Constant value for `A`.
Discrete	result	Modified to contain the outgoing message.

Returns

Type	Description
Discrete	`result`

Remarks

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

BAverageConditional(Poisson, Poisson, Poisson)

EP message to B.

Declaration

public static Poisson BAverageConditional(Poisson sum, Poisson a, Poisson b)

Parameters

Type	Name	Description
Poisson	sum	Incoming message from `Sum`.
Poisson	a	Incoming message from `A`.
Poisson	b	Incoming message from `B`.

Returns

Type	Description
Poisson	The outgoing EP message to the `B` argument.

Remarks

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

BAverageConditional(Int32, Discrete, Discrete)

EP message to B.

Declaration

public static Discrete BAverageConditional(int sum, Discrete a, Discrete result)

Parameters

Type	Name	Description
Int32	sum	Constant value for `Sum`.
Discrete	a	Incoming message from `A`.
Discrete	result	Modified to contain the outgoing message.

Returns

Type	Description
Discrete	`result`

Remarks

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

BAverageConditional(Int32, Poisson, Poisson)

EP message to B.

Declaration

public static Poisson BAverageConditional(int sum, Poisson a, Poisson b)

Parameters

Type	Name	Description
Int32	sum	Constant value for `Sum`.
Poisson	a	Incoming message from `A`.
Poisson	b	Incoming message from `B`.

Returns

Type	Description
Poisson	The outgoing EP message to the `B` argument.

Remarks

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

BAverageConditional(Int32, Int32, Discrete)

EP message to B.

Declaration

public static Discrete BAverageConditional(int sum, int a, Discrete result)

Parameters

Type	Name	Description
Int32	sum	Constant value for `Sum`.
Int32	a	Constant value for `A`.
Discrete	result	Modified to contain the outgoing message.

Returns

Type	Description
Discrete	`result`

Remarks

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

LogAverageFactor(Discrete, Discrete, Discrete)

Evidence message for EP.

Declaration

public static double LogAverageFactor(Discrete sum, Discrete a, Discrete to_sum)

Parameters

Type	Name	Description
Discrete	sum	Incoming message from `Sum`.
Discrete	a	Incoming message from `A`.
Discrete	to_sum	Outgoing message to `sum`.

Returns

Type	Description
Double	Logarithm of the factor's average value across the given argument distributions.

Remarks

The formula for the result is log(sum_(Sum,A) p(Sum,A) factor(Sum,A,B)).

LogAverageFactor(Discrete, Int32, Discrete, Discrete)

Evidence message for EP.

Declaration

public static double LogAverageFactor(Discrete sum, int a, Discrete b, Discrete to_sum)

Parameters

Type	Name	Description
Discrete	sum	Incoming message from `Sum`.
Int32	a	Constant value for `A`.
Discrete	b	Incoming message from `B`.
Discrete	to_sum	Outgoing message to `sum`.

Returns

Type	Description
Double	Logarithm of the factor's average value across the given argument distributions.

Remarks

The formula for the result is log(sum_(Sum,B) p(Sum,B) factor(Sum,A,B)).

LogAverageFactor(Discrete, Int32, Int32)

Evidence message for EP.

Declaration

public static double LogAverageFactor(Discrete sum, int a, int b)

Parameters

Type	Name	Description
Discrete	sum	Incoming message from `Sum`.
Int32	a	Constant value for `A`.
Int32	b	Constant value for `B`.

Returns

Type	Description
Double	Logarithm of the factor's average value across the given argument distributions.

Remarks

The formula for the result is log(sum_(Sum) p(Sum) factor(Sum,A,B)).

LogAverageFactor(Int32, Discrete, Discrete)

Evidence message for EP.

Declaration

public static double LogAverageFactor(int sum, Discrete a, Discrete b)

Parameters

Type	Name	Description
Int32	sum	Constant value for `Sum`.
Discrete	a	Incoming message from `A`.
Discrete	b	Incoming message from `B`.

Returns

Type	Description
Double	Logarithm of the factor's average value across the given argument distributions.

Remarks

The formula for the result is log(sum_(A,B) p(A,B) factor(Sum,A,B)).

LogAverageFactor(Int32, Discrete, Int32)

Evidence message for EP.

Declaration

public static double LogAverageFactor(int sum, Discrete a, int b)

Parameters

Type	Name	Description
Int32	sum	Constant value for `Sum`.
Discrete	a	Incoming message from `A`.
Int32	b	Constant value for `B`.

Returns

Type	Description
Double	Logarithm of the factor's average value across the given argument distributions.

Remarks

The formula for the result is log(sum_(A) p(A) factor(Sum,A,B)).

LogAverageFactor(Int32, Int32, Discrete)

Evidence message for EP.

Declaration

public static double LogAverageFactor(int sum, int a, Discrete b)

Parameters

Type	Name	Description
Int32	sum	Constant value for `Sum`.
Int32	a	Constant value for `A`.
Discrete	b	Incoming message from `B`.

Returns

Type	Description
Double	Logarithm of the factor's average value across the given argument distributions.

Remarks

The formula for the result is log(sum_(B) p(B) factor(Sum,A,B)).

LogAverageFactor(Int32, Int32, Int32)

Evidence message for EP.

Declaration

public static double LogAverageFactor(int sum, int a, int b)

Parameters

Type	Name	Description
Int32	sum	Constant value for `Sum`.
Int32	a	Constant value for `A`.
Int32	b	Constant value for `B`.

Returns

Type	Description
Double	Logarithm of the factor's average value across the given argument distributions.

Remarks

The formula for the result is log(factor(Sum,A,B)).

LogEvidenceRatio(Discrete)

Evidence message for EP.

Declaration

public static double LogEvidenceRatio(Discrete sum)

Parameters

Type	Name	Description
Discrete	sum	Incoming message from `Sum`.

Returns

Type	Description
Double	Logarithm of the factor's contribution the EP model evidence.

Remarks

The formula for the result is log(sum_(Sum) p(Sum) factor(Sum,A,B) / sum_Sum p(Sum) messageTo(Sum)). Adding up these values across all factors and variables gives the log-evidence estimate for EP.

LogEvidenceRatio(Int32, Discrete, Discrete)

Evidence message for EP.

Declaration

public static double LogEvidenceRatio(int sum, Discrete a, Discrete b)

Parameters

Type	Name	Description
Int32	sum	Constant value for `Sum`.
Discrete	a	Incoming message from `A`.
Discrete	b	Incoming message from `B`.

Returns

Type	Description
Double	Logarithm of the factor's contribution the EP model evidence.

Remarks

The formula for the result is log(sum_(A,B) p(A,B) factor(Sum,A,B)). Adding up these values across all factors and variables gives the log-evidence estimate for EP.

LogEvidenceRatio(Int32, Discrete, Int32)

Evidence message for EP.

Declaration

public static double LogEvidenceRatio(int sum, Discrete a, int b)

Parameters

Type	Name	Description
Int32	sum	Constant value for `Sum`.
Discrete	a	Incoming message from `A`.
Int32	b	Constant value for `B`.

Returns

Type	Description
Double	Logarithm of the factor's contribution the EP model evidence.

Remarks

The formula for the result is log(sum_(A) p(A) factor(Sum,A,B)). Adding up these values across all factors and variables gives the log-evidence estimate for EP.

LogEvidenceRatio(Int32, Int32, Discrete)

Evidence message for EP.

Declaration

public static double LogEvidenceRatio(int sum, int a, Discrete b)

Parameters

Type	Name	Description
Int32	sum	Constant value for `Sum`.
Int32	a	Constant value for `A`.
Discrete	b	Incoming message from `B`.

Returns

Type	Description
Double	Logarithm of the factor's contribution the EP model evidence.

Remarks

The formula for the result is log(sum_(B) p(B) factor(Sum,A,B)). Adding up these values across all factors and variables gives the log-evidence estimate for EP.

LogEvidenceRatio(Int32, Int32, Int32)

Evidence message for EP.

Declaration

public static double LogEvidenceRatio(int sum, int a, int b)

Parameters

Type	Name	Description
Int32	sum	Constant value for `Sum`.
Int32	a	Constant value for `A`.
Int32	b	Constant value for `B`.

Returns

Type	Description
Double	Logarithm of the factor's contribution the EP model evidence.

Remarks

The formula for the result is log(factor(Sum,A,B)). Adding up these values across all factors and variables gives the log-evidence estimate for EP.

SumAverageConditional(Discrete, Discrete, Discrete)

EP message to Sum.

Declaration

public static Discrete SumAverageConditional(Discrete a, Discrete b, Discrete result)

Parameters

Type	Name	Description
Discrete	a	Incoming message from `A`.
Discrete	b	Incoming message from `B`.
Discrete	result	Modified to contain the outgoing message.

Returns

Type	Description
Discrete	`result`

Remarks

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

SumAverageConditional(Discrete, Int32, Discrete)

EP message to Sum.

Declaration

public static Discrete SumAverageConditional(Discrete a, int b, Discrete result)

Parameters

Type	Name	Description
Discrete	a	Incoming message from `A`.
Int32	b	Constant value for `B`.
Discrete	result	Modified to contain the outgoing message.

Returns

Type	Description
Discrete	`result`

Remarks

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

SumAverageConditional(Poisson, Poisson)

EP message to Sum.

Declaration

public static Poisson SumAverageConditional(Poisson a, Poisson b)

Parameters

Type	Name	Description
Poisson	a	Incoming message from `A`.
Poisson	b	Incoming message from `B`.

Returns

Type	Description
Poisson	The outgoing EP message to the `Sum` argument.

Remarks

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

SumAverageConditional(Int32, Discrete, Discrete)

EP message to Sum.

Declaration

public static Discrete SumAverageConditional(int a, Discrete b, Discrete result)

Parameters

Type	Name	Description
Int32	a	Constant value for `A`.
Discrete	b	Incoming message from `B`.
Discrete	result	Modified to contain the outgoing message.

Returns

Type	Description
Discrete	`result`

Remarks

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

SumAverageConditionalInit(Discrete, Discrete)

Declaration

public static Discrete SumAverageConditionalInit(Discrete a, Discrete b)

Parameters

Type	Name	Description
Discrete	a	Incoming message from `A`.
Discrete	b	Incoming message from `B`.

Returns

Type	Description
Discrete

Remarks

SumAverageConditionalInit(Discrete, Int32)

Declaration

public static Discrete SumAverageConditionalInit(Discrete a, int b)

Parameters

Type	Name	Description
Discrete	a	Incoming message from `A`.
Int32	b	Constant value for `B`.

Returns

Type	Description
Discrete

Remarks

SumAverageConditionalInit(Int32, Discrete)

Declaration

public static Discrete SumAverageConditionalInit(int a, Discrete b)

Parameters

Type	Name	Description
Int32	a	Constant value for `A`.
Discrete	b	Incoming message from `B`.

Returns

Type	Description
Discrete