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Infer.NET code documentation
MicrosoftResearch.Infer Namespace
Algorithm Class
Algorithm Constructor (algorithm)
algorithm Field
ToString Method
AlgorithmBase Class
DefaultNumberIterations Property
GetAlgorithmConversionOperator Method (channelType, alg2, isFromFactor, args)
GetEvidenceMethodName Method (factorAttributes)
GetMessagePrototype Method (channelInfo, direction, marginalPrototypeExpression, path)
GetOperatorMethodSuffix Method (factorAttributes)
GetQueryTypeBinding Method (qt)
ModifyFactorAttributes Method (factorExpression, factorAttributes)
Name Property
SetDefaultQueryTypes Method (var)
ShortName Property
BrowserMode Enumeration
CompiledAlgorithm Class
CompiledAlgorithm Constructor (algInstance, engine)
AlgorithmInstance Property
Engine Property
Execute Method
Execute Method
Execute Method (numberOfIterations)
GetObservedValue Method (varName)
GetOutputMessage Method
GetOutputMessage Method (variable)
GetOutputMessage Method (variableName)
Initialise Method
Iterations Field
Marginal Method
Marginal Method (variable)
Marginal Method (variable)
Marginal Method (variable, path)
Marginal Method (variable, path)
Marginal Method (variableName)
Marginal Method (variableName)
Marginal Method (variableName, path)
Marginal Method (variableName, path)
method Field
ModelExpressions Property
Reset Method
SetAllParameters Method (varValues)
SetObservedValue Method
SetObservedValue Method (par)
SetObservedValue Method (par, resetModel)
SetObservedValue Method (varName, value)
SetObservedValue Method (varName, value, resetModel)
Update Method
Update Method
Update Method (numberOfIterations)
DerivedVariable Class
DerivedVariable Constructor
ExampleAttribute Class
ExampleAttribute Constructor (category, description)
Category Property
Description Property
Prefix Property
ExpectationPropagation Class
ExpectationPropagation Constructor
GetAlgorithmConversionOperator Method (channelType, alg2, isFromFactor, args)
GetEvidenceMethodName Method (factorAttributes)
GetOperatorMethodSuffix Method (factorAttributes)
Name Property
ShortName Property
GibbsSampling Class
GibbsSampling Constructor
BurnIn Property
DefaultNumberIterations Property
GetAlgorithmConversionOperator Method (channelType, alg2, isFromFactor, args)
GetEvidenceMethodName Method (factorAttributes)
GetMessagePrototype Method (channelInfo, direction, marginalPrototypeExpression, path)
GetOperatorMethodSuffix Method (factorAttributes)
GetQueryTypeBinding Method (qt)
ModifyFactorAttributes Method (factorExpression, factorAttributes)
Name Property
SetDefaultQueryTypes Method (var)
ShortName Property
Thin Property
GroupMember Class
GroupMember Constructor (vg, isRoot)
Group Field
IsRoot Field
ToString Method
HasName Interface
Name Property
IAlgorithm Interface
DefaultNumberIterations Property
GetAlgorithmConversionOperator Method (channelType, alg2, isFromFactor, args)
GetEvidenceMethodName Method (factorAttributes)
GetMessagePrototype Method (channelInfo, direction, marginalPrototypeExpression, path)
GetOperatorMethodSuffix Method (factorAttributes)
GetQueryTypeBinding Method (qt)
ModifyFactorAttributes Method (factorExpression, factorAttributes)
SetDefaultQueryTypes Method (var)
ShortName Property
IIterativeProcess Interface
Initialise Method
Reset Method
Update Method
InferenceEngine Class
InferenceEngine Constructor
InferenceEngine Constructor
InferenceEngine Constructor (algorithm)
Algorithm Property
BrowserMode Property
Compiler Property
DefaultEngine Field
GetBuiltInAlgorithms Method
GetCompiledInferenceAlgorithm Method (vars)
GetOutputMessage Method (var)
GetRelevantModelExpressions Method (vars)
Group Method (variables)
Groups Property
Infer Method
Infer Method (var)
Infer Method (var)
Infer Method (var, queryType)
Infer Method (var, queryType)
InferAll Method
InferAll Method (vars)
InferAll Method (vars)
LastCompiledAlgorithm Property
ModelName Property
Name Property
NumberOfIterations Property
ReturnCopies Property
SetTo Method (engine)
ShowCompileProgress Property
ShowFactorGraph Property
ShowFactorManager Method
ShowFactorManager Method (showMissingEvidences)
ShowFactorManager Method (showMissingEvidences, algorithms)
ShowMsl Property
ShowProgress Property
ShowSchedule Property
ShowTimings Property
ShowWarnings Property
MarginalPrototype Class
MarginalPrototype Constructor (prototype)
prototype Field
MaxProductBeliefPropagation Class
MaxProductBeliefPropagation Constructor
GetAlgorithmConversionOperator Method (channelType, alg2, isFromFactor, args)
GetEvidenceMethodName Method (factorAttributes)
GetMessagePrototype Method (channelInfo, direction, marginalPrototypeExpression, path)
GetOperatorMethodSuffix Method (factorAttributes)
Name Property
ShortName Property
ModelCompiler Class
ModelCompiler Constructor
ModelCompiler Constructor
ModelCompiler Constructor (engine)
CompileWithoutParams Method (method)
CompileWithParamArray Method (method, argArray)
ConstructTransformChain Method (method)
DeclarationProvider Property
Engine Property
GeneratedSourceFolder Property
GenerateInMemory Property
OptimiseInferenceCode Property
SetTo Method (compiler)
UseParallelForLoops Property
WriteSourceFiles Property
Output Class
Output Constructor
PositionAttribute Class
PositionAttribute Constructor
PositionAttribute Constructor (p)
PositionAttribute Constructor (x, y)
Position Property
QueryType Class
QueryType Constructor
Name Field
QueryTypes Class
Conditionals Field
Marginal Field
Samples Field
Stochastic Class
Stochastic Constructor
TraceMessages Class
TraceMessages Constructor
ValueRange Class
ValueRange Constructor (range)
Range Field
ToString Method
VariableGroup Class
VariableGroup Constructor
VariableGroup Constructor
VariableGroup Constructor (that)
FromVariables Method (vars)
Name Property
ToString Method
Variables Property
VariationalMessagePassing Class
VariationalMessagePassing Constructor
GetAlgorithmConversionOperator Method (channelType, alg2, isFromFactor, args)
GetEvidenceMethodName Method (factorAttributes)
GetOperatorMethodSuffix Method (factorAttributes)
Name Property
ShortName Property
UseGateExitRandom Field
WillBeInferred Class
WillBeInferred Constructor
WillBeInferred Constructor
WillBeInferred Constructor (inferredKey)
InferredKey Field
ToString Method
MicrosoftResearch.Infer.Distributions Namespace
Accumulator(T) Interface
Add Method (item)
Clear Method
Bernoulli Structure
Bernoulli Constructor
Bernoulli Constructor (that)
Bernoulli Constructor (probTrue)
Clone Method
Division Operator
ExclusiveOr Operator
FromLogOdds Method (logOdds)
Gate Method (x, gate)
GetAverageLog Method (that)
GetDomainPrototype Method
GetLogAverageOf Method (that)
GetLogNormalizer Method
GetLogProb Method (x)
GetLogProbFalse Method
GetLogProbTrue Method
GetMean Method
GetProbFalse Method
GetProbTrue Method
GetVariance Method
IsPointMass Property
IsUniform Method
LogicalNot Operator
LogitProbEqual Method (x, y)
LogOdds Field
LogProbEqual Method (x, y)
MaxDiff Method (thatd)
Multiply Operator
Or Method (x, y)
Point Property
PointMass Method (value)
Sample Method
Sample Method
Sample Method (x)
Sample Method (probTrue)
SetLogProbFalse Method (logProbFalse)
SetLogProbTrue Method (logProbTrue)
SetMean Method (mean)
SetProbFalse Method (probFalse)
SetProbTrue Method (probTrue)
SetTo Method (that)
SetToPower Method (dist, exponent)
SetToProduct Method (a, b)
SetToRatio Method (numerator, denominator)
SetToSum Method (weight1, dist1, weight2, dist2)
SetToUniform Method
Uniform Method
BernoulliEstimator Class
BernoulliEstimator Constructor
Add Method
Add Method (distribution)
Add Method (sample)
Clear Method
Clone Method
GetDistribution Method (result)
N Field
NProbTrue Field
SetTo Method (value)
Beta Structure
Beta Constructor
Beta Constructor (that)
Beta Constructor (trueCount, falseCount)
AllowImproperSum Field
BetaLn Method (trueCount, falseCount)
Clone Method
Division Operator
ExclusiveOr Operator
FalseCount Field
FromMeanAndVariance Method (mean, variance)
FromMeanLogs Method (eLogP, eLogOneMinusP)
GetAverageLog Method (that)
GetDomainPrototype Method
GetLogAverageOf Method (that)
GetLogNormalizer Method
GetLogProb Method (value)
GetMean Method
GetMeanAndVariance Method (mean, variance)
GetMeanCube Method
GetMeanLog Method
GetMeanLogs Method (eLogP, eLogOneMinusP)
GetMeanSquare Method
GetVariance Method
IsPointMass Property
IsProper Method
IsUniform Method
MaxDiff Method (thatd)
Multiply Operator
Point Property
PointMass Method (mean)
Sample Method
Sample Method
Sample Method (result)
Sample Method (trueCount, falseCount)
SetMeanAndVariance Method (mean, variance)
SetTo Method (value)
SetToPower Method (dist, exponent)
SetToProduct Method (a, b)
SetToRatio Method (numerator, denominator)
SetToSum Method (weight1, dist1, weight2, dist2)
SetToUniform Method
TotalCount Property
TrueCount Field
Uniform Method
BetaEstimator Class
BetaEstimator Constructor
Add Method
Add Method (distribution)
Add Method (value)
Clear Method
Clone Method
GetDistribution Method (result)
mva Field
SetTo Method (value)
CanBeMessage Class
CanBeMessage Constructor
CanGetAverageLog(T) Interface
GetAverageLog Method (that)
CanGetDomainPrototype Interface
GetDomainPrototype Method
CanGetLogAverageOf(T) Interface
GetLogAverageOf Method (that)
CanGetLogAverageOfInverse(T) Interface
GetLogAverageOfInverse Method (that)
CanGetLogNormalizer Interface
GetLogNormalizer Method
CanGetLogPowerSum(T) Interface
GetLogPowerSum Method (power)
CanGetLogProb(T) Interface
GetLogProb Method (value)
CanGetLogProbPrep(DistributionType, T) Interface
GetLogProbPrep Method
CanGetMean(MeanType) Interface
GetMean Method
CanGetMeanAndVariance(MeanType, VarType) Interface
GetMeanAndVariance Method (mean, variance)
CanGetMeanAndVarianceOut(MeanType, VarType) Interface
GetMeanAndVariance Method (mean, variance)
CanGetVariance(VarType) Interface
GetVariance Method
CanMultiplyIntoTarget(T) Interface
CanMultiplyIntoTarget(T, U) Interface
MultiplyIntoTarget Method (target, other)
CanPostUpdate Interface
PostUpdate Method
CanPostUpdateWith(T) Interface
PostUpdateWith Method (dist)
CanSamplePrep(DistributionType, T) Interface
SamplePrep Method
CanSetMean(MeanType) Interface
SetMean Method (value)
CanSetMeanAndVariance(MeanType, VarType) Interface
SetMeanAndVariance Method (mean, variance)
CanSetTarget(T) Interface
SetTarget Method (target)
ConditionalList(TDist) Class
ConditionalList(TDist) Constructor
Add Method (item)
Clear Method
Conditionals Property
Count Property
ConstantFunction Class
ConstantFunction Constructor
ConstantFunction Constructor
ConstantFunction Constructor (value)
ConstantValue Property
Evaluate Method (X)
Dirichlet Class
Dirichlet Constructor
Dirichlet Constructor (that)
Dirichlet Constructor (pseudoCount)
Dirichlet Constructor (pseudoCount)
AllowImproperSum Field
Clone Method
Dimension Property
DirichletLn Method (pseudoCount)
Division Operator
EstimateNewton Method (PseudoCount, meanLog)
ExclusiveOr Operator
FromMeanLog Method (meanLog)
GetAverageLog Method (that)
GetDomainPrototype Method
GetLogAverageOf Method (that)
GetLogNormalizer Method
GetLogProb Method (value)
GetMean Method
GetMean Method
GetMean Method (result)
GetMeanAndVariance Method (mean, variance)
GetMeanCube Method
GetMeanLog Method
GetMeanLog Method
GetMeanLog Method (result)
GetMeanLogAt Method (sample)
GetMeanSquare Method
GetVariance Method
IsPointMass Property
IsProper Method
IsUniform Method
MaxDiff Method (that)
Multiply Operator
Point Property
PointMass Method
PointMass Method (mean)
PointMass Method (mean)
PseudoCount Field
Sample Method
Sample Method
Sample Method (result)
Sample Method (pseudoCount, result)
SetMeanAndMeanSquare Method (mean, meanSquare)
SetMeanAndVariance Method (mean, variance)
SetMeanLog Method (meanLog)
SetTo Method (value)
SetToPower Method (dist, exponent)
SetToProduct Method (a, b)
SetToRatio Method (numerator, denominator)
SetToSum Method (weight1, dist1, weight2, dist2)
SetToUniform Method
TotalCount Field
Uniform Method
Uniform Method (dimension)
Uniform Method (dimension, initialCount)
WeightedSum Method (result, dimension, weight1, dist1, weight2, dist2)
DirichletEstimator Class
DirichletEstimator Constructor (dimension)
Add Method
Add Method (item)
Add Method (item)
Clear Method
Clone Method
Dimension Property
GetDistribution Method (result)
N Field
SetTo Method (value)
Sum Field
Sum2 Field
Discrete Class
Discrete Constructor
Discrete Constructor (that)
Discrete Constructor (probs)
Discrete Constructor (probs)
Clone Method
Dimension Property
Division Operator
Evaluate Method (value)
ExclusiveOr Operator
GetAverageLog Method (that)
GetDomainPrototype Method
GetLogAverageOf Method (that)
GetLogNormalizer Method
GetLogProb Method (value)
GetLogProbs Method
GetMean Method
GetProbs Method
GetProbs Method
GetProbs Method (result)
GetVariance Method
GetWorkspace Method
IsPointMass Property
IsUniform Method
Item Property (index)
MaxDiff Method (that)
Multiply Operator
Point Property
PointMass Method (value, numValues)
ProbEqual Method (that)
Sample Method
Sample Method
Sample Method (probs)
Sample Method (result)
SetProbs Method (probs)
SetTo Method (value)
SetToPower Method (dist, exponent)
SetToProduct Method (a, b)
SetToRatio Method (numerator, denominator)
SetToSum Method (weight1, dist1, weight2, dist2)
SetToUniform Method
Uniform Method (numValues)
DiscreteEnum(TEnum) Class
DiscreteEnum(TEnum) Constructor
DiscreteEnum(TEnum) Constructor
DiscreteEnum(TEnum) Constructor (d)
DiscreteEnum(TEnum) Constructor (probs)
DiscreteEnum(TEnum) Constructor (probs)
Clone Method
GetAverageLog Method (that)
GetDomainPrototype Method
GetLogAverageOf Method (that)
GetLogProb Method (value)
Point Property
SetTo Method (value)
SetToPower Method (value, exponent)
SetToProduct Method (a, b)
SetToRatio Method (numerator, denominator)
SetToSum Method (weight1, value1, weight2, value2)
ToString Method
Uniform Method
DiscreteEstimator Class
DiscreteEstimator Constructor (dimension)
Add Method
Add Method (distribution)
Add Method (distribution, weight)
Add Method (sample)
Clear Method
Clone Method
Dimension Property
GetDistribution Method (result)
N Field
NProb Field
SetTo Method (value)
Distribution Class
ConvertArray Method (distributionArray)
FromArray Method (arrayOfDistributions)
GetAverageLog Method (thisDist, that)
GetAverageLogLazy Method (thisDist, that)
GetDomainType Method (distributionType)
GetLogAverageOf Method (thisDist, that)
GetLogAverageOfLazy Method (thisDist, that)
LogInnerProduct Method (dists)
MakeDistributionArrayType Method (elementType, rank)
MaxDiff Method (a, b)
MultiplyAllIntoTarget Method (result, dists)
MultiplyAllIntoTargetExcept Method (result, dists, index)
MultiplyIntoTarget Method (factor1, target, factor2)
PointMass Method (point)
SetPoint Method (dist, point)
SetTarget Method (source, target)
SetTo Method
SetTo Method (result, value)
SetTo Method (result, value)
SetToPower Method (result, a, exponent)
SetToPowerLazy Method (result, a, exponent)
SetToProduct Method
SetToProduct Method (result, a, b)
SetToProduct Method (result, a, b)
SetToProductOfAll Method
SetToProductOfAll Method (result, dists)
SetToProductOfAll Method (result, dists)
SetToProductOfAllExcept Method (result, dists, count, index)
SetToProductWithAll Method
SetToProductWithAll Method (result, dists)
SetToProductWithAll Method (result, dists)
SetToProductWithAll Method (result, dists)
SetToProductWithAllExcept Method
SetToProductWithAllExcept Method (result, dists, index)
SetToProductWithAllExcept Method (result, dists, index)
SetToProductWithAllExcept Method (result, dists, index)
SetToRatio Method
SetToRatio Method (result, numerator, denominator)
SetToRatio Method (result, numerator, denominator)
SetToSum Method (result, weight1, a, weight2, b)
SetToSumLazy Method (result, weight1, a, weight2, b)
ToArray Method (distributionArray)
Distribution(T) Class
Array Method
Array Method (length, init)
Array Method (length1, length2, init)
Array Method (array)
Array Method (array)
Array Method (array)
Array Method (array)
Array Method (array)
Array Method (array)
Estimator(T) Interface
GetDistribution Method (result)
EstimatorArray(T, TDomain) Class
EstimatorArray(T, TDomain) Constructor (dist)
Add Method (item)
Clear Method
DistributionArrayType Field
DistributionPrototype Field
Distributions Field
DomainPrototype Field
EstimatorCreator Field
Estimators Field
GetDistribution Method (result)
LeafDistributionType Field
LeafDomainType Field
LeafEstimatorType Field
EstimatorFactory Class
CreateEstimator Method (distProto)
EstimatorType Method (distType)
Instance Property
RegisterEstimator Method (distType, estType, c)
Evaluator(DistributionType, T) Delegate
Gamma Structure
Gamma Constructor
Gamma Constructor (that)
Gamma Constructor (shape, scale)
Clone Method
Division Operator
ExclusiveOr Operator
FromMeanAndMeanLog Method (mean, meanLog)
FromMeanAndVariance Method (mean, variance)
FromNatural Method (shapeMinus1, rate)
FromShapeAndRate Method (shape, rate)
FromShapeAndScale Method (shape, scale)
GetAverageLog Method (that)
GetDomainPrototype Method
GetLogAverageOf Method (that)
GetLogNormalizer Method
GetLogProb Method
GetLogProb Method (x)
GetLogProb Method (x, shape, rate)
GetMean Method
GetMeanAndVariance Method (mean, variance)
GetMeanInverse Method
GetMeanLog Method
GetMeanPower Method (power)
GetShapeAndScale Method (shape, scale)
GetVariance Method
IsPointMass Property
IsProper Method
IsProper Method
IsProper Method (shape, rate)
IsUniform Method
MaxDiff Method (thatd)
Multiply Operator
Point Property
PointMass Method (mean)
Rate Field
Sample Method
Sample Method
Sample Method (result)
Sample Method (shape, scale)
SetMeanAndVariance Method (mean, variance)
SetNatural Method (shapeMinus1, rate)
SetShapeAndRate Method (shape, rate)
SetShapeAndScale Method (shape, scale)
SetTo Method (that)
SetToPower Method (dist, exponent)
SetToProduct Method (a, b)
SetToRatio Method (numerator, denominator)
SetToRatioProper Method (numerator, denominator)
SetToSum Method (weight1, dist1, weight2, dist2)
SetToUniform Method
Shape Field
Uniform Method
GammaEstimator Class
GammaEstimator Constructor
Add Method
Add Method (distribution)
Add Method (value)
Clear Method
Clone Method
GetDistribution Method (result)
mva Field
SetTo Method (value)
Gaussian Structure
Gaussian Constructor
Gaussian Constructor (that)
Gaussian Constructor (mean, variance)
Clone Method
Division Operator
ExclusiveOr Operator
FromMeanAndPrecision Method (mean, precision)
FromMeanAndVariance Method (mean, variance)
FromNatural Method (meanTimesPrecision, precision)
GetAverageLog Method (that)
GetDomainPrototype Method
GetLogAverageOf Method (that)
GetLogAverageOfInverse Method (that)
GetLogNormalizer Method
GetLogProb Method
GetLogProb Method (x)
GetLogProb Method (x, mean, variance)
GetMean Method
GetMeanAndPrecision Method (mean, precision)
GetMeanAndVariance Method (mean, variance)
GetMeanAndVarianceImproper Method (mean, variance)
GetNatural Method (meanTimesPrecision, precision)
GetVariance Method
IsPointMass Property
IsProper Method
IsUniform Method
MaxDiff Method (thatd)
MeanTimesPrecision Field
Multiply Operator
Point Property
PointMass Method (mean)
Precision Field
Sample Method
Sample Method
Sample Method (result)
Sample Method (mean, precision)
SetMeanAndPrecision Method (mean, precision)
SetMeanAndVariance Method (mean, variance)
SetNatural Method (meanTimesPrecision, precision)
SetTo Method (that)
SetToPower Method (dist, exponent)
SetToProduct Method (a, b)
SetToRatio Method (numerator, denominator)
SetToRatioProper Method (numerator, denominator)
SetToSum Method (weight1, g1, weight2, g2)
SetToUniform Method
Uniform Method
WeightedSum Method (result, weight1, dist1, weight2, dist2)
GaussianEstimator Class
GaussianEstimator Constructor
Add Method
Add Method (distribution)
Add Method (sample)
Add Method (sample, weight)
Clear Method
Clone Method
GetDistribution Method (result)
mva Field
SetTo Method (value)
HasPoint(T) Interface
IsPointMass Property
Point Property
IDistribution(T) Interface
IFunction Interface
Evaluate Method (X)
ImproperDistributionException Class
ImproperDistributionException Constructor (distribution)
IsDistributionWrapper Interface
LinearSpline Class
LinearSpline Constructor
Evaluate Method (X)
KnotIncrem Property
KnotStart Property
YPoints Property
Mixture(T) Class
Mixture(T) Constructor
Add Method
Add Method (item)
Add Method (item, weight)
Clear Method
Components Field
GetDistribution Method (result)
Normalize Method
Weights Field
WeightSum Method
PointMass(T) Class
PointMass(T) Constructor (point)
Clone Method
GetDomainPrototype Method
GetLogProb Method (value)
IsPointMass Property
IsUniform Method
MaxDiff Method (that)
Point Property
SetToUniform Method
ToString Method
Poisson Structure
Poisson Constructor
Poisson Constructor (that)
Poisson Constructor (mean)
Poisson Constructor (rate, precision)
Clone Method
Division Operator
ExclusiveOr Operator
GetAverageLog Method (that)
GetDomainPrototype Method
GetLogAverageOf Method (that)
GetLogNormalizer Method
GetLogNormalizer Method
GetLogNormalizer Method (lambda, nu)
GetLogPowerSum Method (lambda, nu, p)
GetLogProb Method (value)
GetMean Method
GetMeanAndVariance Method (mean, variance)
GetMeanLogFactorial Method
GetSumLogFactorial Method (lambda, nu)
GetVariance Method
IsPointMass Property
IsProper Method
IsUniform Method
MaxDiff Method (that)
Multiply Operator
Point Property
PointMass Method (value)
Precision Field
Rate Field
Sample Method
Sample Method
Sample Method (mean)
Sample Method (result)
SetMeanAndVariance Method (mean, variance)
SetTo Method (value)
SetToPower Method (dist, exponent)
SetToProduct Method (a, b)
SetToRatio Method (numerator, denominator)
SetToSum Method (weight1, value1, weight2, value2)
SetToUniform Method
Uniform Method
Rank1Pot Class
Rank1Pot Constructor
FlagRecalculate Method
K_B_x Method (sgpb)
K_x_x Method (sgpb)
LambdaInv Field
P Method (sgpb)
Xi Field
Yi Field
Sampleable(T) Interface
Sample Method
Sample Method
Sample Method (result)
SampleList(T) Class
SampleList(T) Constructor
Add Method (item)
Clear Method
Count Property
Samples Property
Sampler(T) Delegate
Sampler(DistributionType, T) Delegate
SettableToUniform Interface
IsUniform Method
SetToUniform Method
SparseGP Class
SparseGP Constructor
SparseGP Constructor (spgf)
SparseGP Constructor (sgpf, r1p)
SparseGP Constructor (sgpf, alpha, beta)
Alpha Property
AppendRank1 Method (r1p)
AppendRank1List Method (r1pList)
Beta Property
ClearRank1List Method
Clone Method
Covariance Method (XList)
Division Operator
Equals Method (obj)
EvaluateMean Method (X)
FlagRecalculate Method
GetAverageLog Method (that)
GetHashCode Method
GetLogAverageOf Method (that)
GetLogProb Method (value)
GetMean Method
IsPointMass Property
IsUniform Method
MaxDiff Method (thatd)
Mean Method
Mean Method (X)
Mean Method (XList)
Mean_B Property
Multiply Operator
Point Property
PointMass Method (sgpf, value)
Prediction Method
Prediction Method (X)
Prediction Method (XList)
Rank1Potentials Property
Sample Method
Sample Method
Sample Method (result)
SetTo Method (that)
SetToAndClearRank1s Method (that)
SetToPower Method (value, exponent)
SetToProduct Method (a, b)
SetToRank1 Method (r1p)
SetToRatio Method (numerator, denominator)
SetToSum Method (weight1, value1, weight2, value2)
SetToUniform Method
Uniform Method (sgpf)
Var_B_B Property
Variance Method (X)
SparseGPBase Class
SparseGPBase Constructor (spgf)
Clone Method
FixedParameters Property
FlagRecalculate Method
GetDomainPrototype Method
Kernel Property
KernelOf_X_B Method
KernelOf_X_B Method (x)
KernelOf_X_B Method (XList)
KernelOf_X_X Method (XList)
Mean0 Property
SetTo Method (that)
SparseGPFixed Class
SparseGPFixed Constructor (kf, b)
Basis Property
FlagRecalculate Method
InvKernelOf_B_B Property
Kernel Property
KernelOf_B_B Property
Mean0 Property
NumberBasisPoints Property
NumberFeatures Property
ToString Method
UnnormalizedDiscrete Class
UnnormalizedDiscrete Constructor
Clone Method
Dimension Property
Evaluate Method (value)
FromDiscrete Method (d)
FromLogProbs Method (logProb)
GetDomainPrototype Method
GetLogProb Method (value)
GetProbs Method
GetWorkspace Method
IsPointMass Property
IsUniform Method
MaxDiff Method (that)
Multiply Operator
Point Property
SetLogProbs Method (logProbs)
SetMaxToZero Method
SetTo Method (value)
SetToProduct Method (a, b)
SetToUniform Method
ToString Method
ToString Method
ToString Method (format)
Uniform Method (numValues)
VectorGaussian Class
VectorGaussian Constructor
VectorGaussian Constructor (mean, variance)
VectorGaussian Constructor (mean, variance)
VectorGaussian Constructor (dimension)
Clone Method
Count Property
CreateSourceArray Method (nRecords)
Dimension Property
Division Operator
ExclusiveOr Operator
FromCursors Method (meanTimesPrecision, precision)
FromMeanAndPrecision Method
FromMeanAndPrecision Method (mean, precision)
FromMeanAndPrecision Method (mean, precision)
FromMeanAndVariance Method
FromMeanAndVariance Method (mean, variance)
FromMeanAndVariance Method (mean, variance)
FromNatural Method (meanTimesPrecision, precision)
GetAverageLog Method (that)
GetDomainPrototype Method
GetLogAverageOf Method (that)
GetLogNormalizer Method
GetLogProb Method
GetLogProb Method (x)
GetLogProb Method (x, L, iLb)
GetLogProb Method (x, mean, variance)
GetLogProb Method (x, meanTimesPrecision, precision, L, iLb)
GetLogProbPrep Method
GetMarginal Method (dim)
GetMean Method
GetMean Method
GetMean Method (mean)
GetMeanAndPrecision Method (mean, precision)
GetMeanAndVariance Method (mean, variance)
GetVariance Method
GetVariance Method
GetVariance Method (variance)
IsPointMass Property
IsProper Method
IsUniform Method
MaxDiff Method (thatd)
MeanTimesPrecision Property
Multiply Operator
Point Property
PointMass Method
PointMass Method (mean)
PointMass Method (mean)
Precision Property
ReferenceClone Method
Sample Method
Sample Method
Sample Method (result)
Sample Method (result, precL)
Sample Method (mean, precision)
SamplePrep Method
SetMeanAndPrecision Method (mean, precision)
SetMeanAndVariance Method (mean, variance)
SetNatural Method (meanTimesPrecision, precision)
SetTo Method (that)
SetToPower Method (dist, exponent)
SetToProduct Method (g1, g2)
SetToRatio Method (numerator, denominator)
SetToSum Method (weight1, dist1, weight2, dist2)
SetToUniform Method
SourceArray Property
Start Property
Uniform Method (dimension)
WeightedSum Method (result, dimension, weight1, dist1, weight2, dist2)
VectorGaussianEstimator Class
VectorGaussianEstimator Constructor (dimension)
Add Method
Add Method (distribution)
Add Method (sample)
Add Method (sample, weight)
Clear Method
Clone Method
Dimension Property
GetDistribution Method (result)
SetTo Method (value)
Wishart Class
Wishart Constructor
Wishart Constructor (shape, scale)
Wishart Constructor (shape, scale)
Wishart Constructor (dimension)
Wishart Constructor (dimension, shape, scale)
Clone Method
Count Property
CreateSourceArray Method (nRecords)
Dimension Property
Division Operator
ExclusiveOr Operator
FromCursors Method (rate, shape)
FromShapeAndRate Method
FromShapeAndRate Method (shape, rate)
FromShapeAndRate Method (dimension, shape, rate)
FromShapeAndScale Method
FromShapeAndScale Method (shape, scale)
FromShapeAndScale Method (dimension, shape, scale)
GetAverageLog Method (that)
GetDomainPrototype Method
GetLogAverageOf Method (that)
GetLogNormalizer Method
GetLogNormalizer Method
GetLogNormalizer Method (shape, rate)
GetLogProb Method
GetLogProb Method (X)
GetLogProb Method (x, shape, rate)
GetMean Method
GetMean Method
GetMean Method (mean)
GetMeanAndVariance Method (mean, variance)
GetMeanLogDeterminant Method
GetVariance Method
GetVariance Method
GetVariance Method (variance)
IsPointMass Property
IsProper Method
IsProper Method
IsProper Method (shape, rate)
IsUniform Method
MaxDiff Method (thatd)
Multiply Operator
Point Property
PointMass Method
PointMass Method (mean)
PointMass Method (mean)
Rate Property
ReferenceClone Method
Sample Method
Sample Method
Sample Method (result)
Sample Method (result, cholB, cholX, cholXt)
Sample Method (shape, scale, result)
SetMeanAndVariance Method (mean, variance)
SetShapeAndRate Method (shape, rate)
SetShapeAndScale Method (shape, scale)
SetTo Method (that)
SetToPower Method (dist, exponent)
SetToProduct Method (g1, g2)
SetToRatio Method (numerator, denominator)
SetToSum Method (weight1, dist1, weight2, dist2)
SetToUniform Method
Shape Property
SourceArray Property
Start Property
Uniform Method (dimension)
WeightedSum Method (result, dimension, weight1, dist1, weight2, dist2)
WishartEstimator Class
WishartEstimator Constructor (dimension)
Add Method
Add Method (item)
Add Method (item)
Clear Method
Clone Method
Dimension Property
GetDistribution Method (result)
mva Field
SetTo Method (value)
MicrosoftResearch.Infer.Distributions.Kernels Namespace
ARD Class
ARD Constructor
ARD Constructor
ARD Constructor (logLengths, logSigVar)
EvaluateX Method (x, xDeriv, logThetaDeriv)
EvaluateX1X2 Method (x1, x2, x1Deriv, logThetaDeriv)
InitialiseFromData Method (X, y)
Item Property (index)
Read Method (sr)
SetupParams Method (logLengths, logSigVar)
TypeVersion Property
IKernelFunction Interface
EvaluateX Method
EvaluateX Method (x)
EvaluateX Method (x, logThetaDeriv)
EvaluateX Method (x, xDeriv, logThetaDeriv)
EvaluateX1X2 Method
EvaluateX1X2 Method (x1, x2)
EvaluateX1X2 Method (x1, x2, logThetaDeriv)
EvaluateX1X2 Method (x1, x2, x1Deriv, logThetaDeriv)
IndexToName Method (thetaIndex)
Item Property
Item Property (index)
Item Property (name)
NameToIndex Method (thetaName)
Read Method (sr)
ThetaCount Property
TypeVersion Property
Write Method (sw)
KernelFactory Class
CreateKernelFunction Method (name)
Instance Property
RegisterKernelFunction Method (ikf)
KernelFunction Class
Cholesky Method (kf, xData)
EvaluateX Method
EvaluateX Method (x)
EvaluateX Method (x, logThetaDeriv)
EvaluateX Method (x, xDeriv, logThetaDeriv)
EvaluateX1X2 Method
EvaluateX1X2 Method (x1, x2)
EvaluateX1X2 Method (x1, x2, logThetaDeriv)
EvaluateX1X2 Method (x1, x2, x1Deriv, logThetaDeriv)
HyperNames Property
IndexToName Method (thetaIndex)
Item Property
Item Property (index)
Item Property (name)
NameToIndex Method (thetaName)
Read Method (sr)
ThetaCount Property
TypeVersion Property
Write Method (sw)
LinearKernel Class
LinearKernel Constructor
LinearKernel Constructor
LinearKernel Constructor (logVariances)
EvaluateX Method (x, xDeriv, logThetaDeriv)
EvaluateX1X2 Method (x1, x2, x1Deriv, logThetaDeriv)
InitialiseFromData Method (X)
Item Property (index)
Read Method (sr)
SetupParams Method (logVariances)
TypeVersion Property
NNKernel Class
NNKernel Constructor
NNKernel Constructor
NNKernel Constructor (logWeightVariances, logBiasWeightVariance)
EvaluateX Method (x, xDeriv, logThetaDeriv)
EvaluateX1X2 Method (x1, x2, x1Deriv, logThetaDeriv)
GetLogBiasWeightVariance Method
GetLogWeightVariances Method
InitialiseFromData Method (X)
Item Property (index)
Read Method (sr)
SetupParams Method (logWeightVariances, logBiasWeightVariance)
ToString Method
TypeVersion Property
SquaredExponential Class
SquaredExponential Constructor
SquaredExponential Constructor
SquaredExponential Constructor (logLength, logSigVar)
EvaluateX Method (x, xDeriv, logThetaDeriv)
EvaluateX1X2 Method (x1, x2, x1Deriv, logThetaDeriv)
Item Property (index)
TypeVersion Property
SummationKernel Class
SummationKernel Constructor
SummationKernel Constructor
SummationKernel Constructor (kernel)
Addition Operator
EvaluateX Method (x, xDeriv, logThetaDeriv)
EvaluateX1X2 Method (x1, x2, x1Deriv, logThetaDeriv)
Item Property
Item Property (index)
Item Property (name)
Kernels Property
Read Method (sr)
ThetaCount Property
TypeVersion Property
Write Method (sw)
WhiteNoise Class
WhiteNoise Constructor
WhiteNoise Constructor
WhiteNoise Constructor (logNoiseSD)
EvaluateX Method (x, xDeriv, logThetaDeriv)
EvaluateX1X2 Method (x1, x2, x1Deriv, logThetaDeriv)
Item Property (index)
TypeVersion Property
MicrosoftResearch.Infer.Factors Namespace
AllExceptIndexAttribute Class
AllExceptIndexAttribute Constructor
AllTrueOp Class
AllTrueAverageConditional Method (array)
AllTrueAverageLogarithm Method (array)
ArrayAverageConditional Method
ArrayAverageConditional Method (allTrue, array, result)
ArrayAverageConditional Method (allTrue, array, result)
ArrayAverageLogarithm Method
ArrayAverageLogarithm Method (allTrue, array, result)
ArrayAverageLogarithm Method (allTrue, array, result)
AverageLogFactor Method
LogAverageFactor Method
LogAverageFactor Method (allTrue, array)
LogAverageFactor Method (allTrue, array)
LogEvidenceRatio Method
LogEvidenceRatio Method (allTrue, array)
LogEvidenceRatio Method (allTrue, array)
BernoulliFromBeta Class
AverageLogFactor Method
AverageLogFactor Method (sample, probTrue)
AverageLogFactor Method (sample, probTrue)
AverageLogFactor Method (sample, probTrue)
AverageLogFactor Method (sample, probTrue)
LogAverageFactor Method
LogAverageFactor Method (sample, probTrue)
LogAverageFactor Method (sample, probTrue)
LogAverageFactor Method (sample, probTrue)
LogEvidenceRatio Method
LogEvidenceRatio Method (sample, probTrue)
LogEvidenceRatio Method (sample, probTrue)
LogEvidenceRatio Method (sample, probTrue)
LogEvidenceRatio Method (sample, probTrue)
ProbTrueAverageConditional Method
ProbTrueAverageConditional Method (sample, probTrue)
ProbTrueAverageConditional Method (sample)
ProbTrueAverageLogarithm Method
ProbTrueAverageLogarithm Method (sample)
ProbTrueAverageLogarithm Method (sample)
ProbTrueConditional Method (sample)
SampleAverageConditional Method
SampleAverageConditional Method (probTrue)
SampleAverageConditional Method (probTrue)
SampleAverageLogarithm Method
SampleAverageLogarithm Method (probTrue)
SampleAverageLogarithm Method (probTrue)
SampleConditional Method (probTrue)
BernoulliFromBooleanArray Class
ChoiceAverageConditional Method (sample, probTrue)
ChoiceAverageLogarithm Method (sample, probTrue)
SampleAverageConditional Method
SampleAverageConditional Method (choice, probTrue)
SampleAverageConditional Method (choice, probTrue)
SampleAverageLogarithm Method (choice, probTrue)
BernoulliFromLogOddsOldOp Class
AverageLogFactor Method
AverageLogFactor Method (sample, logOdds)
AverageLogFactor Method (sample, logOdds)
AverageLogFactor Method (sample, logOdds)
AverageLogFactor Method (sample, logOdds)
LogOddsAverageLogarithm Method
LogOddsAverageLogarithm Method (sample, logOdds)
LogOddsAverageLogarithm Method (sample, logOdds)
SampleAverageLogarithm Method
SampleAverageLogarithm Method (logOdds)
SampleAverageLogarithm Method (logOdds)
BernoulliFromLogOddsOp Class
AverageLogFactor Method
AverageLogFactor Method (sample, logOdds)
AverageLogFactor Method (sample, logOdds)
AverageLogFactor Method (sample, logOdds)
AverageLogFactor Method (sample, logOdds)
LogAverageFactor Method
LogAverageFactor Method (sample, logOdds)
LogAverageFactor Method (sample, logOdds)
LogEvidenceRatio Method
LogEvidenceRatio Method (sample)
LogEvidenceRatio Method (sample, logOdds)
LogEvidenceRatio Method (sample, logOdds)
LogOddsAverageConditional Method
LogOddsAverageConditional Method (sample, logOdds)
LogOddsAverageConditional Method (sample, logOdds)
LogOddsAverageLogarithm Method
LogOddsAverageLogarithm Method (sample, logOdds, result)
LogOddsAverageLogarithm Method (sample, logOdds, result)
QuadratureNodeCount Field
SampleAverageConditional Method (logOdds)
SampleAverageLogarithm Method
SampleAverageLogarithm Method (logOdds)
SampleAverageLogarithm Method (logOdds)
sigma Method (m, v)
sigmaPrime Method (m, v)
sigmaPrimePrime Method (m, v)
UseJJ96Bound Field
BetaOp Class
AverageLogFactor Method (prob, mean, totalCount)
LogAverageFactor Method (prob, mean, totalCount)
MeanAverageLogarithm Method
MeanAverageLogarithm Method (mean, totalCount, prob, result)
MeanAverageLogarithm Method (mean, totalCount, prob, result)
MeanAverageLogarithm Method (mean, totalCount, prob, result)
MeanAverageLogarithm Method (mean, totalCount, prob, result)
ProbAverageLogarithm Method
ProbAverageLogarithm Method (mean, totalCount)
ProbAverageLogarithm Method (mean, totalCount)
ProbAverageLogarithm Method (mean, totalCount)
TotalCountAverageLogarithm Method
TotalCountAverageLogarithm Method (mean, totalCount, prob, result)
TotalCountAverageLogarithm Method (mean, totalCount, prob, result)
BinomialOp Class
AverageLogFactor Method
AverageLogFactor Method (sample, p, trialCount)
AverageLogFactor Method (sample, p, trialCount)
LogAverageFactor Method
LogAverageFactor Method (sample, p, trialCount)
LogAverageFactor Method (sample, p, trialCount)
LogAverageFactor Method (sample, p, trialCount)
LogAverageFactor Method (sample, p, trialCount)
LogEvidenceRatio Method
LogEvidenceRatio Method (sample)
LogEvidenceRatio Method (sample, p, trialCount)
PAverageConditional Method (sample, trialCount)
PAverageLogarithm Method
PAverageLogarithm Method (sample, trialCount)
PAverageLogarithm Method (sample, trialCount)
PAverageLogarithm Method (sample, trialCount)
PAverageLogarithm Method (sample, trialCount)
SampleAverageConditional Method
SampleAverageConditional Method (p, trialCount, result)
SampleAverageConditional Method (p, trialCount, result)
SampleAverageConditional Method (p, trialCount, result)
SampleAverageConditional Method (p, trialCount, result)
TrialCountAverageConditional Method
TrialCountAverageConditional Method (sample, p, result)
TrialCountAverageConditional Method (sample, p, result)
TrialCountAverageConditional Method (sample, p, result)
TrialCountAverageConditional Method (sample, p, result)
BooleanAndOp Class
AAverageConditional Method
AAverageConditional Method (and, B)
AAverageConditional Method (and, B)
AAverageConditional Method (and, B)
AAverageConditional Method (and, B)
AAverageLogarithm Method
AAverageLogarithm Method (and, B)
AAverageLogarithm Method (and, B)
AAverageLogarithm Method (and, B)
AAverageLogarithm Method (and, B)
AndAverageConditional Method
AndAverageConditional Method (A, B)
AndAverageConditional Method (A, B)
AndAverageConditional Method (A, B)
AndAverageLogarithm Method
AndAverageLogarithm Method (A, B)
AndAverageLogarithm Method (A, B)
AndAverageLogarithm Method (A, B)
AverageLogFactor Method
BAverageConditional Method
BAverageConditional Method (and, A)
BAverageConditional Method (and, A)
BAverageConditional Method (and, A)
BAverageConditional Method (and, A)
BAverageLogarithm Method
BAverageLogarithm Method (and, A)
BAverageLogarithm Method (and, A)
BAverageLogarithm Method (and, A)
BAverageLogarithm Method (and, A)
LogAverageFactor Method
LogAverageFactor Method (and, a, b)
LogAverageFactor Method (and, a, b)
LogAverageFactor Method (and, a, b)
LogAverageFactor Method (and, a, b)
LogAverageFactor Method (and, a, b)
LogEvidenceRatio Method
LogEvidenceRatio Method (and, a, b)
LogEvidenceRatio Method (and, a, b)
LogEvidenceRatio Method (and, a, b)
LogEvidenceRatio Method (and, a, b)
LogEvidenceRatio Method (and, a, b)
LogEvidenceRatio Method (and, a, b)
BooleanAreEqualOp Class
AAverageConditional Method
AAverageConditional Method (areEqual, B)
AAverageConditional Method (areEqual, B)
AAverageConditional Method (areEqual, B)
AAverageConditional Method (areEqual, B)
AAverageLogarithm Method
AAverageLogarithm Method (areEqual, B)
AAverageLogarithm Method (areEqual, B)
AAverageLogarithm Method (areEqual, B)
AAverageLogarithm Method (areEqual, B)
AreEqualAverageConditional Method
AreEqualAverageConditional Method (A, B)
AreEqualAverageConditional Method (A, B)
AreEqualAverageConditional Method (A, B)
AreEqualAverageConditional Method (A, B)
AreEqualAverageLogarithm Method
AreEqualAverageLogarithm Method (A, B)
AreEqualAverageLogarithm Method (A, B)
AreEqualAverageLogarithm Method (A, B)
AreEqualAverageLogarithm Method (A, B)
AverageLogFactor Method
BAverageConditional Method
BAverageConditional Method (areEqual, A)
BAverageConditional Method (areEqual, A)
BAverageConditional Method (areEqual, A)
BAverageConditional Method (areEqual, A)
BAverageLogarithm Method
BAverageLogarithm Method (areEqual, A)
BAverageLogarithm Method (areEqual, A)
BAverageLogarithm Method (areEqual, A)
BAverageLogarithm Method (areEqual, A)
LogAverageFactor Method
LogAverageFactor Method (areEqual, A, B)
LogAverageFactor Method (areEqual, A, B)
LogAverageFactor Method (areEqual, A, B)
LogEvidenceRatio Method
LogEvidenceRatio Method (areEqual, A, B)
LogEvidenceRatio Method (areEqual, A, B)
LogEvidenceRatio Method (areEqual, A, B)
LogEvidenceRatio Method (areEqual, A, B)
LogEvidenceRatio Method (areEqual, A, B)
LogEvidenceRatio Method (areEqual, A, B)
BooleanNotOp Class
AverageLogFactor Method
BAverageConditional Method
BAverageConditional Method (not)
BAverageConditional Method (not)
BAverageLogarithm Method
BAverageLogarithm Method (not)
BAverageLogarithm Method (not)
LogAverageFactor Method (not, b)
LogEvidenceRatio Method
LogEvidenceRatio Method (not, b)
LogEvidenceRatio Method (not, b)
LogEvidenceRatio Method (not, b)
NotAverageConditional Method (b)
NotAverageLogarithm Method (b)
BooleanOrOp Class
AAverageConditional Method
AAverageConditional Method (or, B)
AAverageConditional Method (or, B)
AAverageConditional Method (or, B)
AAverageConditional Method (or, B)
AAverageLogarithm Method
AAverageLogarithm Method (or, B)
AAverageLogarithm Method (or, B)
AAverageLogarithm Method (or, B)
AAverageLogarithm Method (or, B)
AverageLogFactor Method
BAverageConditional Method
BAverageConditional Method (or, A)
BAverageConditional Method (or, A)
BAverageConditional Method (or, A)
BAverageConditional Method (or, A)
BAverageLogarithm Method
BAverageLogarithm Method (or, A)
BAverageLogarithm Method (or, A)
BAverageLogarithm Method (or, A)
BAverageLogarithm Method (or, A)
LogAverageFactor Method
LogAverageFactor Method (or, a, b)
LogAverageFactor Method (or, a, b)
LogAverageFactor Method (or, a, b)
LogAverageFactor Method (or, a, b)
LogAverageFactor Method (or, a, b)
LogEvidenceRatio Method
LogEvidenceRatio Method (or, a, b)
LogEvidenceRatio Method (or, a, b)
LogEvidenceRatio Method (or, a, b)
LogEvidenceRatio Method (or, a, b)
LogEvidenceRatio Method (or, a, b)
LogEvidenceRatio Method (or, a, b)
OrAverageConditional Method
OrAverageConditional Method (A, B)
OrAverageConditional Method (A, B)
OrAverageConditional Method (A, B)
OrAverageLogarithm Method
OrAverageLogarithm Method (A, B)
OrAverageLogarithm Method (A, B)
OrAverageLogarithm Method (A, B)
CasesBoolOp Class
AverageLogFactor Method (case0, case1, b)
BAverageConditional Method (case0, case1)
BAverageLogarithm Method (case0, case1)
Case0AverageConditional Method (b)
Case0AverageLogarithm Method (b)
Case1AverageConditional Method (b)
Case1AverageLogarithm Method (b)
LogEvidenceRatio Method (case0, case1, b)
CasesOp Class
AverageLogFactor Method (cases, b)
BAverageConditional Method (cases)
BAverageLogarithm Method (cases)
CasesAverageConditional Method (b, result)
CasesAverageLogarithm Method (b, result)
LogEvidenceRatio Method (cases, b)
Concat Class
AverageLogFactor Method
ConcatAverageLogarithm Method (first, second, result)
FirstAverageLogarithm Method (concat, second, result)
SecondAverageLogarithm Method (concat, first, result)
Constrain Class
Between Method (x, lowerBound, upperBound)
Equal Method (A, B)
EqualRandom Method (value, dist)
False Method (b)
Positive Method (x)
True Method (b)
ConstrainEqualOp(T) Class
AAverageConditional Method
AAverageConditional Method (B, result)
AAverageConditional Method (B, result)
AAverageLogarithm Method
AAverageLogarithm Method (B, result)
AAverageLogarithm Method (B, result)
AMaxConditional Method (B, result)
AverageLogFactor Method
BAverageConditional Method
BAverageConditional Method (A, result)
BAverageConditional Method (A, result)
BAverageLogarithm Method
BAverageLogarithm Method (A, result)
BAverageLogarithm Method (A, result)
BMaxConditional Method (A, result)
LogAverageFactor Method
LogAverageFactor Method (a, b)
LogAverageFactor Method (a, b)
LogAverageFactor Method (a, b)
LogEvidenceRatio Method
LogEvidenceRatio Method (a, b)
LogEvidenceRatio Method (a, b)
LogEvidenceRatio Method (a, b)
ConstrainEqualRandomOp(DomainType) Class
AverageLogFactor Method
AverageLogFactor Method (value, dist)
AverageLogFactor Method (value, dist)
LogAverageFactor Method
LogAverageFactor Method (value, dist)
LogAverageFactor Method (value, dist)
LogEvidenceRatio Method
LogEvidenceRatio Method (value, dist)
LogEvidenceRatio Method (value, dist)
ValueAverageConditional Method (dist)
ValueAverageLogarithm Method (dist)
ConstrainFalseOp Class
AverageLogFactor Method
BAverageConditional Method
BAverageLogarithm Method
LogAverageFactor Method (b)
LogEvidenceRatio Method (b)
ConstrainTrueOp Class
AverageLogFactor Method
BAverageConditional Method
BAverageLogarithm Method
LogAverageFactor Method (b)
LogEvidenceRatio Method (b)
ConstraintViolatedException Class
ConstraintViolatedException Constructor (s)
CopyOp(T) Class
AverageLogFactor Method
InputAverageConditional Method
InputAverageConditional Method (output, result)
InputAverageConditional Method (Output)
InputAverageLogarithm Method
InputAverageLogarithm Method (Output)
InputAverageLogarithm Method (output, result)
LogEvidenceRatio Method
LogEvidenceRatio Method (output, input)
LogEvidenceRatio Method (output)
OutputAverageConditional Method (Input)
OutputAverageLogarithm Method (Input)
Damp Class
Backward Method (value, stepsize)
Forward Method (value, stepsize)
DampBackwardOp Class
BackwardAverageConditional Method (value, result)
LogEvidenceRatio Method
ValueAverageConditional Method (backward, stepsize, result)
DampForwardOp Class
ForwardAverageConditional Method (value, stepsize, result)
LogEvidenceRatio Method
ValueAverageConditional Method (forward, result)
DependsOnIterationAttribute Class
DependsOnIterationAttribute Constructor
ToString Method
DirichletOp Class
AverageLogFactor Method
AverageLogFactor Method (prob, mean, totalCount)
AverageLogFactor Method (prob, mean, totalCount)
AverageLogFactor Method (prob, mean, totalCount)
AverageLogFactor Method (prob, mean, totalCount)
AverageLogFactor Method (prob, mean, totalCount)
CalculateGradientForMean Method (meanPseudoCount, totalCount, meanLogProb)
EvidenceMessageExpectations Method (meanQ, totalCountQ)
MeanAverageLogarithm Method
MeanAverageLogarithm Method (mean, totalCount, prob, result)
MeanAverageLogarithm Method (mean, totalCount, prob, result)
MeanAverageLogarithm Method (mean, totalCount, prob, result)
MeanAverageLogarithm Method (mean, totalCount, prob, result)
MeanMessageExpectations Method (meanQPseudoCount, totalCountQ, EELogGamma, EELogMLogGamma, EELogOneMinusMLogGamma)
ProbAverageLogarithm Method
ProbAverageLogarithm Method (mean, totalCount)
ProbAverageLogarithm Method (mean, totalCount)
TotalCountAverageLogarithm Method
TotalCountAverageLogarithm Method (mean, totalCount, prob, result)
TotalCountAverageLogarithm Method (mean, totalCount, prob, result)
TotalCountAverageLogarithmHelper Method (meanPseudoCount, totalCount, meanLogProb)
TotalCountMessageExpectations Method (meanQPseudoCount, totalCountQ, EELogGamma, EELogSLogGamma, EEMSDigamma)
DiscreteAreEqualOp Class
AAverageConditional Method
AAverageConditional Method (areEqual, B, result)
AAverageConditional Method (areEqual, B, result)
AAverageConditional Method (areEqual, B, result)
AAverageConditional Method (areEqual, B, result)
AAverageLogarithm Method
AAverageLogarithm Method (areEqual, B, result)
AAverageLogarithm Method (areEqual, B, result)
AAverageLogarithm Method (areEqual, B, result)
AAverageLogarithm Method (areEqual, B, result)
AreEqualAverageConditional Method
AreEqualAverageConditional Method (A, B)
AreEqualAverageConditional Method (A, B)
AreEqualAverageConditional Method (A, B)
AreEqualAverageLogarithm Method
AreEqualAverageLogarithm Method (A, B)
AreEqualAverageLogarithm Method (A, B)
AreEqualAverageLogarithm Method (A, B)
AverageLogFactor Method
BAverageConditional Method
BAverageConditional Method (areEqual, A, result)
BAverageConditional Method (areEqual, A, result)
BAverageConditional Method (areEqual, A, result)
BAverageConditional Method (areEqual, A, result)
BAverageLogarithm Method
BAverageLogarithm Method (areEqual, A, result)
BAverageLogarithm Method (areEqual, A, result)
BAverageLogarithm Method (areEqual, A, result)
BAverageLogarithm Method (areEqual, A, result)
LogAverageFactor Method
LogAverageFactor Method (areEqual, A, B)
LogAverageFactor Method (areEqual, A, B)
LogAverageFactor Method (areEqual, A, B)
LogAverageFactor Method (areEqual, A, B)
LogAverageFactor Method (areEqual, A, B)
LogAverageFactor Method (areEqual, A, B)
LogEvidenceRatio Method
LogEvidenceRatio Method (areEqual, A, B)
LogEvidenceRatio Method (areEqual, A, B)
LogEvidenceRatio Method (areEqual, A, B)
LogEvidenceRatio Method (areEqual, A, B)
LogEvidenceRatio Method (areEqual, A, B)
LogEvidenceRatio Method (areEqual, A, B)
DiscreteEnumAreEqual(TEnum) Class
DiscreteEnumAreEqual(TEnum) Constructor
AAverageConditional Method
AAverageConditional Method (areEqual, B, result)
AAverageConditional Method (areEqual, B, result)
AAverageLogarithm Method
AAverageLogarithm Method (areEqual, B, result)
AAverageLogarithm Method (areEqual, B, result)
AreEqualAverageConditional Method
AreEqualAverageConditional Method (A, B)
AreEqualAverageConditional Method (A, B)
BAverageConditional Method
BAverageConditional Method (areEqual, A, result)
BAverageConditional Method (areEqual, A, result)
BAverageLogarithm Method
BAverageLogarithm Method (areEqual, A, result)
BAverageLogarithm Method (areEqual, A, result)
LogAverageFactor Method
LogAverageFactor Method (areEqual, A, B)
LogAverageFactor Method (areEqual, A, B)
LogAverageFactor Method (areEqual, A, B)
LogAverageFactor Method (areEqual, A, B)
DiscreteEnumFromDirichlet(TEnum) Class
LogEvidenceRatio Method
LogEvidenceRatio Method (sample, probs)
LogEvidenceRatio Method (sample, probs)
ProbsAverageConditional Method (sample, result)
DiscreteFromDirichlet Class
AverageLogFactor Method
AverageLogFactor Method (sample, probs)
AverageLogFactor Method (sample, probs)
AverageLogFactor Method (sample, probs)
AverageLogFactor Method (sample, probs)
LogAverageFactor Method
LogAverageFactor Method (sample, probs)
LogAverageFactor Method (sample, probs)
LogAverageFactor Method (sample, probs)
LogEvidenceRatio Method
LogEvidenceRatio Method (sample, probs)
LogEvidenceRatio Method (sample, probs)
LogEvidenceRatio Method (sample, probs)
LogEvidenceRatio Method (sample, probs)
ProbsAverageConditional Method
ProbsAverageConditional Method (sample, probs, result)
ProbsAverageConditional Method (sample, result)
ProbsAverageLogarithm Method
ProbsAverageLogarithm Method (sample, result)
ProbsAverageLogarithm Method (sample, result)
ProbsConditional Method (sample, result)
SampleAverageConditional Method
SampleAverageConditional Method (probs, result)
SampleAverageConditional Method (probs, result)
SampleAverageLogarithm Method
SampleAverageLogarithm Method (probs, result)
SampleAverageLogarithm Method (probs, result)
SampleConditional Method (probs, result)
DiscreteFromDiscrete Class
LogAverageFactor Method (sample, selector, probs)
LogEvidenceRatio Method (sample, selector, probs)
SampleAverageConditional Method (selector, probs, result)
SelectorAverageConditional Method (sample, probs, result)
DiscreteFromLogProbs Class
AverageLogFactor Method
AverageLogFactor Method (sample, logProbs)
AverageLogFactor Method (sample, logProbs)
LogAverageFactor Method (sample, logProbs)
LogProbsAverageLogarithm Method (sample, logProbs, result)
DiscreteUniform Class
AverageLogFactor Method
AverageLogFactor Method (sample, size)
AverageLogFactor Method (sample, size)
AverageLogFactor Method (sample, size)
LogAverageFactor Method
LogAverageFactor Method (sample, size)
LogAverageFactor Method (sample, size)
LogEvidenceRatio Method
LogEvidenceRatio Method (sample, size)
LogEvidenceRatio Method (sample, size)
LogEvidenceRatio Method (sample, size)
SampleAverageConditional Method
SampleAverageConditional Method (size, result)
SampleAverageConditional Method (size, result)
SampleAverageLogarithm Method
SampleAverageLogarithm Method (size, result)
SampleAverageLogarithm Method (size, result)
SizeAverageConditional Method
SizeAverageConditional Method (sample, result)
SizeAverageConditional Method (sample, result)
DoubleBetweenOp Class
LogEvidenceRatio Method
LogEvidenceRatio Method (x, lowerBound, upperBound)
LogEvidenceRatio Method (x, lowerBound, upperBound)
LogEvidenceRatio Method (x, lowerBound, upperBound)
LogEvidenceRatio Method (x, lowerBound, upperBound)
LogEvidenceRatio Method (x, lowerBound, upperBound)
LogEvidenceRatio Method (x, lowerBound, upperBound)
LogEvidenceRatio Method (x, lowerBound, upperBound)
LogEvidenceRatio Method (x, lowerBound, upperBound)
LowerBoundAverageConditional Method
LowerBoundAverageConditional Method (X, lowerBound, upperBound)
LowerBoundAverageConditional Method (X, lowerBound, upperBound)
LowerBoundAverageConditional Method (X, lowerBound, upperBound)
LowerBoundAverageConditional Method (X, lowerBound, upperBound)
LowerBoundAverageLogarithm Method
UpperBoundAverageConditional Method
UpperBoundAverageConditional Method (X, lowerBound, upperBound)
UpperBoundAverageConditional Method (X, lowerBound, upperBound)
UpperBoundAverageConditional Method (X, lowerBound, upperBound)
UpperBoundAverageConditional Method (X, lowerBound, upperBound)
UpperBoundAverageLogarithm Method
XAverageConditional Method
XAverageConditional Method (X, lowerBound, upperBound)
XAverageConditional Method (X, lowerBound, upperBound)
XAverageConditional Method (X, lowerBound, upperBound)
XAverageConditional Method (X, lowerBound, upperBound)
XAverageLogarithm Method
DoubleIsBetweenOp Class
ForceProper Field
IsBetweenAverageConditional Method
IsBetweenAverageConditional Method (X, lowerBound, upperBound)
IsBetweenAverageConditional Method (X, lowerBound, upperBound)
IsBetweenAverageConditional Method (X, lowerBound, upperBound)
IsBetweenAverageConditional Method (X, lowerBound, upperBound)
IsBetweenAverageConditional Method (X, lowerBound, upperBound)
IsBetweenAverageConditional Method (X, lowerBound, upperBound)
IsBetweenAverageConditional Method (X, lowerBound, upperBound)
IsBetweenAverageLogarithm Method (X, lowerBound, upperBound)
LogAverageFactor Method
LogAverageFactor Method (isBetween, X, lowerBound, upperBound)
LogAverageFactor Method (isBetween, X, lowerBound, upperBound)
LogAverageFactor Method (isBetween, X, lowerBound, upperBound)
LogAverageFactor Method (isBetween, x, lowerBound, upperBound)
LogAverageFactor Method (isBetween, X, lowerBound, upperBound)
LogAverageFactor Method (isBetween, X, lowerBound, upperBound)
LogAverageFactor Method (isBetween, X, lowerBound, upperBound)
LogAverageFactor Method (isBetween, X, lowerBound, upperBound)
LogAverageFactor Method (isBetween, X, lowerBound, upperBound)
LogAverageFactor Method (isBetween, X, lowerBound, upperBound)
LogAverageFactor Method (isBetween, x, lowerBound, upperBound)
LogAverageFactor Method (isBetween, X, lowerBound, upperBound)
LogAverageFactor Method (isBetween, X, lowerBound, upperBound)
LogAverageFactor Method (isBetween, X, lowerBound, upperBound)
LogAverageFactor Method (isBetween, X, lowerBound, upperBound)
LogEvidenceRatio Method
LogEvidenceRatio Method (isBetween, X, lowerBound, upperBound)
LogEvidenceRatio Method (isBetween, X, lowerBound, upperBound)
LogEvidenceRatio Method (isBetween, X, lowerBound, upperBound)
LogEvidenceRatio Method (isBetween, x, lowerBound, upperBound)
LogEvidenceRatio Method (isBetween, X, lowerBound, upperBound)
LogEvidenceRatio Method (isBetween, X, lowerBound, upperBound)
LogEvidenceRatio Method (isBetween, X, lowerBound, upperBound)
LogEvidenceRatio Method (isBetween, X, lowerBound, upperBound)
LogEvidenceRatio Method (isBetween, X, lowerBound, upperBound)
LogEvidenceRatio Method (isBetween, X, lowerBound, upperBound)
LogEvidenceRatio Method (isBetween, x, lowerBound, upperBound)
LogEvidenceRatio Method (isBetween, X, lowerBound, upperBound)
LogEvidenceRatio Method (isBetween, X, lowerBound, upperBound)
LogEvidenceRatio Method (isBetween, X, lowerBound, upperBound)
LogEvidenceRatio Method (isBetween, X, lowerBound, upperBound)
LogProbBetween Method
LogProbBetween Method (X, L, U)
LogProbBetween Method (X, L, U)
LowerBoundAverageConditional Method
LowerBoundAverageConditional Method (isBetween, X, lowerBound, upperBound)
LowerBoundAverageConditional Method (isBetween, X, lowerBound, upperBound)
LowerBoundAverageConditional Method (isBetween, X, lowerBound, upperBound)
LowerBoundAverageConditional Method (isBetween, X, lowerBound, upperBound)
LowerBoundAverageConditional Method (isBetween, X, lowerBound, upperBound)
LowerBoundAverageConditional Method (isBetween, X, lowerBound, upperBound)
LowerBoundAverageConditional Method (isBetween, X, lowerBound, upperBound)
LowerBoundAverageConditional Method (isBetween, X, lowerBound, upperBound)
LowerBoundAverageLogarithm Method (isBetween, X, lowerBound, upperBound)
UpperBoundAverageConditional Method
UpperBoundAverageConditional Method (isBetween, X, lowerBound, upperBound)
UpperBoundAverageConditional Method (isBetween, X, lowerBound, upperBound)
UpperBoundAverageConditional Method (isBetween, X, lowerBound, upperBound)
UpperBoundAverageConditional Method (isBetween, X, lowerBound, upperBound)
UpperBoundAverageConditional Method (isBetween, X, lowerBound, upperBound)
UpperBoundAverageConditional Method (isBetween, X, lowerBound, upperBound)
UpperBoundAverageConditional Method (isBetween, X, lowerBound, upperBound)
UpperBoundAverageConditional Method (isBetween, X, lowerBound, upperBound)
UpperBoundAverageLogarithm Method (isBetween, X, lowerBound, upperBound)
XAverageConditional Method
XAverageConditional Method (isBetween, X, lowerBound, upperBound)
XAverageConditional Method (isBetween, X, lowerBound, upperBound)
XAverageConditional Method (isBetween, X, lowerBound, upperBound)
XAverageConditional Method (isBetween, X, lowerBound, upperBound)
XAverageConditional Method (isBetween, X, lowerBound, upperBound)
XAverageConditional Method (isBetween, X, lowerBound, upperBound)
XAverageConditional Method (isBetween, X, lowerBound, upperBound)
XAverageConditional Method (isBetween, X, lowerBound, upperBound)
XAverageLogarithm Method (isBetween, X, lowerBound, upperBound)
DoubleMinusEvidence Class
LogEvidenceRatio Method
LogEvidenceRatio Method (difference, a, b)
LogEvidenceRatio Method (difference, a, b)
LogEvidenceRatio Method (difference, a, b)
LogEvidenceRatio Method (difference, a, b)
LogEvidenceRatio Method (difference, a, b)
LogEvidenceRatio Method (difference, a, b)
DoubleMinusVmpOp Class