Class PlusVectorOp

Inheritance

Object

PlusVectorOp

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(Vector), typeof(Vector)}, Default = true)]
[Buffers(new string[]{"SumMean", "SumVariance", "aMean", "aVariance", "bMean", "bVariance"})]
[Quality(QualityBand.Experimental)]
public static class PlusVectorOp

Methods

AAverageConditional(VectorGaussian, Vector, VectorGaussian)

Declaration

public static VectorGaussian AAverageConditional(VectorGaussian sum, Vector b, VectorGaussian result)

Parameters

Type	Name	Description
VectorGaussian	sum
Vector	b
VectorGaussian	result

Returns

Type	Description
VectorGaussian

AAverageConditional(Vector, PositiveDefiniteMatrix, Vector, PositiveDefiniteMatrix, VectorGaussian)

Declaration

public static VectorGaussian AAverageConditional(Vector sumMean, PositiveDefiniteMatrix sumVariance, Vector bMean, PositiveDefiniteMatrix bVariance, VectorGaussian result)

Parameters

Type	Name	Description
Vector	sumMean
PositiveDefiniteMatrix	sumVariance
Vector	bMean
PositiveDefiniteMatrix	bVariance
VectorGaussian	result

Returns

Type	Description
VectorGaussian

AAverageLogarithm(VectorGaussian, Vector, VectorGaussian)

Declaration

public static VectorGaussian AAverageLogarithm(VectorGaussian sum, Vector bMean, VectorGaussian result)

Parameters

Type	Name	Description
VectorGaussian	sum
Vector	bMean
VectorGaussian	result

Returns

Type	Description
VectorGaussian

AConditional(Vector, Vector, VectorGaussian)

Declaration

public static VectorGaussian AConditional(Vector sum, Vector b, VectorGaussian result)

Parameters

Type	Name	Description
Vector	sum
Vector	b
VectorGaussian	result

Returns

Type	Description
VectorGaussian

AMean(VectorGaussian, PositiveDefiniteMatrix, Vector)

Declaration

public static Vector AMean(VectorGaussian a, PositiveDefiniteMatrix aVariance, Vector result)

Parameters

Type	Name	Description
VectorGaussian	a
PositiveDefiniteMatrix	aVariance
Vector	result

Returns

Type	Description
Vector

AMeanInit(VectorGaussian)

Declaration

public static Vector AMeanInit(VectorGaussian a)

Parameters

Type	Name	Description
VectorGaussian	a

Returns

Type	Description
Vector

AVariance(VectorGaussian, PositiveDefiniteMatrix)

Declaration

public static PositiveDefiniteMatrix AVariance(VectorGaussian a, PositiveDefiniteMatrix result)

Parameters

Type	Name	Description
VectorGaussian	a
PositiveDefiniteMatrix	result

Returns

Type	Description
PositiveDefiniteMatrix

AVarianceInit(VectorGaussian)

Declaration

public static PositiveDefiniteMatrix AVarianceInit(VectorGaussian a)

Parameters

Type	Name	Description
VectorGaussian	a

Returns

Type	Description
PositiveDefiniteMatrix

AverageLogFactor(VectorGaussian)

Declaration

public static double AverageLogFactor(VectorGaussian sum)

Parameters

Type	Name	Description
VectorGaussian	sum

Returns

Type	Description
Double

AverageLogFactor(Vector, VectorGaussian)

Declaration

public static double AverageLogFactor(Vector sum, VectorGaussian a)

Parameters

Type	Name	Description
Vector	sum
VectorGaussian	a

Returns

Type	Description
Double

AverageLogFactor(Vector, Vector, VectorGaussian)

Declaration

public static double AverageLogFactor(Vector sum, Vector a, VectorGaussian b)

Parameters

Type	Name	Description
Vector	sum
Vector	a
VectorGaussian	b

Returns

Type	Description
Double

AverageLogFactor(Vector, Vector, Vector)

Declaration

public static double AverageLogFactor(Vector sum, Vector a, Vector b)

Parameters

Type	Name	Description
Vector	sum
Vector	a
Vector	b

Returns

Type	Description
Double

BAverageConditional(VectorGaussian, Vector, VectorGaussian)

Declaration

public static VectorGaussian BAverageConditional(VectorGaussian sum, Vector a, VectorGaussian result)

Parameters

Type	Name	Description
VectorGaussian	sum
Vector	a
VectorGaussian	result

Returns

Type	Description
VectorGaussian

BAverageConditional(Vector, PositiveDefiniteMatrix, Vector, PositiveDefiniteMatrix, VectorGaussian)

Declaration

public static VectorGaussian BAverageConditional(Vector sumMean, PositiveDefiniteMatrix sumVariance, Vector aMean, PositiveDefiniteMatrix aVariance, VectorGaussian result)

Parameters

Type	Name	Description
Vector	sumMean
PositiveDefiniteMatrix	sumVariance
Vector	aMean
PositiveDefiniteMatrix	aVariance
VectorGaussian	result

Returns

Type	Description
VectorGaussian

BAverageLogarithm(VectorGaussian, Vector, VectorGaussian)

Declaration

public static VectorGaussian BAverageLogarithm(VectorGaussian sum, Vector aMean, VectorGaussian result)

Parameters

Type	Name	Description
VectorGaussian	sum
Vector	aMean
VectorGaussian	result

Returns

Type	Description
VectorGaussian

BMean(VectorGaussian, PositiveDefiniteMatrix, Vector)

Declaration

public static Vector BMean(VectorGaussian b, PositiveDefiniteMatrix bVariance, Vector result)

Parameters

Type	Name	Description
VectorGaussian	b
PositiveDefiniteMatrix	bVariance
Vector	result

Returns

Type	Description
Vector

BMeanInit(VectorGaussian)

Declaration

public static Vector BMeanInit(VectorGaussian b)

Parameters

Type	Name	Description
VectorGaussian	b

Returns

Type	Description
Vector

BVariance(VectorGaussian, PositiveDefiniteMatrix)

Declaration

public static PositiveDefiniteMatrix BVariance(VectorGaussian b, PositiveDefiniteMatrix result)

Parameters

Type	Name	Description
VectorGaussian	b
PositiveDefiniteMatrix	result

Returns

Type	Description
PositiveDefiniteMatrix

BVarianceInit(VectorGaussian)

Declaration

public static PositiveDefiniteMatrix BVarianceInit(VectorGaussian b)

Parameters

Type	Name	Description
VectorGaussian	b

Returns

Type	Description
PositiveDefiniteMatrix

LogAverageFactor(Vector, Vector, PositiveDefiniteMatrix, Vector, PositiveDefiniteMatrix)

Declaration

public static double LogAverageFactor(Vector sum, Vector aMean, PositiveDefiniteMatrix aVariance, Vector bMean, PositiveDefiniteMatrix bVariance)

Parameters

Type	Name	Description
Vector	sum
Vector	aMean
PositiveDefiniteMatrix	aVariance
Vector	bMean
PositiveDefiniteMatrix	bVariance

Returns

Type	Description
Double

LogAverageFactor(Vector, Vector, Vector)

Declaration

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

Parameters

Type	Name	Description
Vector	sum
Vector	a
Vector	b

Returns

Type	Description
Double

LogEvidenceRatio(VectorGaussian)

Declaration

public static double LogEvidenceRatio(VectorGaussian sum)

Parameters

Type	Name	Description
VectorGaussian	sum

Returns

Type	Description
Double

LogEvidenceRatio(Vector, Vector, PositiveDefiniteMatrix, Vector, PositiveDefiniteMatrix)

Declaration

public static double LogEvidenceRatio(Vector sum, Vector aMean, PositiveDefiniteMatrix aVariance, Vector bMean, PositiveDefiniteMatrix bVariance)

Parameters

Type	Name	Description
Vector	sum
Vector	aMean
PositiveDefiniteMatrix	aVariance
Vector	bMean
PositiveDefiniteMatrix	bVariance

Returns

Type	Description
Double

LogEvidenceRatio(Vector, Vector, Vector)

Declaration

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

Parameters

Type	Name	Description
Vector	sum
Vector	a
Vector	b

Returns

Type	Description
Double

SumAverageConditional(VectorGaussian, Vector, VectorGaussian)

Declaration

public static VectorGaussian SumAverageConditional(VectorGaussian a, Vector b, VectorGaussian result)

Parameters

Type	Name	Description
VectorGaussian	a
Vector	b
VectorGaussian	result

Returns

Type	Description
VectorGaussian

SumAverageConditional(Vector, VectorGaussian, VectorGaussian)

Declaration

public static VectorGaussian SumAverageConditional(Vector a, VectorGaussian b, VectorGaussian result)

Parameters

Type	Name	Description
Vector	a
VectorGaussian	b
VectorGaussian	result

Returns

Type	Description
VectorGaussian

SumAverageConditional(Vector, PositiveDefiniteMatrix, Vector, PositiveDefiniteMatrix, VectorGaussian)

Declaration

public static VectorGaussian SumAverageConditional(Vector aMean, PositiveDefiniteMatrix aVariance, Vector bMean, PositiveDefiniteMatrix bVariance, VectorGaussian result)

Parameters

Type	Name	Description
Vector	aMean
PositiveDefiniteMatrix	aVariance
Vector	bMean
PositiveDefiniteMatrix	bVariance
VectorGaussian	result

Returns

Type	Description
VectorGaussian

SumAverageLogarithm(VectorGaussian, Vector, VectorGaussian)

Declaration

public static VectorGaussian SumAverageLogarithm(VectorGaussian a, Vector b, VectorGaussian result)

Parameters

Type	Name	Description
VectorGaussian	a
Vector	b
VectorGaussian	result

Returns

Type	Description
VectorGaussian

SumAverageLogarithm(Vector, VectorGaussian, VectorGaussian)

Declaration

public static VectorGaussian SumAverageLogarithm(Vector a, VectorGaussian b, VectorGaussian result)

Parameters

Type	Name	Description
Vector	a
VectorGaussian	b
VectorGaussian	result

Returns

Type	Description
VectorGaussian

SumAverageLogarithm(Vector, PositiveDefiniteMatrix, Vector, PositiveDefiniteMatrix, VectorGaussian)

Declaration

public static VectorGaussian SumAverageLogarithm(Vector aMean, PositiveDefiniteMatrix aVariance, Vector bMean, PositiveDefiniteMatrix bVariance, VectorGaussian result)

Parameters

Type	Name	Description
Vector	aMean
PositiveDefiniteMatrix	aVariance
Vector	bMean
PositiveDefiniteMatrix	bVariance
VectorGaussian	result

Returns

Type	Description
VectorGaussian

SumConditional(Vector, Vector, VectorGaussian)

Declaration

public static VectorGaussian SumConditional(Vector a, Vector b, VectorGaussian result)

Parameters

Type	Name	Description
Vector	a
Vector	b
VectorGaussian	result

Returns

Type	Description
VectorGaussian

SumMean(VectorGaussian, PositiveDefiniteMatrix, Vector)

Declaration

public static Vector SumMean(VectorGaussian sum, PositiveDefiniteMatrix sumVariance, Vector result)

Parameters

Type	Name	Description
VectorGaussian	sum
PositiveDefiniteMatrix	sumVariance
Vector	result

Returns

Type	Description
Vector

SumMeanInit(VectorGaussian)

Declaration

public static Vector SumMeanInit(VectorGaussian sum)

Parameters

Type	Name	Description
VectorGaussian	sum

Returns

Type	Description
Vector

SumVariance(VectorGaussian, PositiveDefiniteMatrix)

Declaration

public static PositiveDefiniteMatrix SumVariance(VectorGaussian sum, PositiveDefiniteMatrix result)

Parameters

Type	Name	Description
VectorGaussian	sum
PositiveDefiniteMatrix	result

Returns

Type	Description
PositiveDefiniteMatrix

SumVarianceInit(VectorGaussian)

Declaration

public static PositiveDefiniteMatrix SumVarianceInit(VectorGaussian sum)

Parameters

Type	Name	Description
VectorGaussian	sum

Returns

Type	Description
PositiveDefiniteMatrix