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Infer.NET code documentation
MicrosoftResearch.Infer Namespace
Algorithm Class
Algorithm Members
Algorithm Constructor
Algorithm Fields
algorithm Field
Algorithm Methods
ToString Method
AlgorithmBase Class
AlgorithmBase Members
AlgorithmBase Methods
GetAlgorithmConversionOperator Method
GetEvidenceMethodName Method
GetMessagePrototype Method
GetOperatorMethodSuffix Method
GetQueryTypeBinding Method
GetVariableFactor Method
ModifyFactorAttributes Method
SetDefaultQueryTypes Method
AlgorithmBase Properties
DefaultNumberOfIterations Property
Name Property
ShortName Property
BrowserMode Enumeration
DerivedVariable Class
DerivedVariable Members
DerivedVariable Constructor
DivideMessages Class
DivideMessages Members
DivideMessages Constructor
DivideMessages Fields
useDivision Field
DivideMessages Methods
ToString Method
DoNotInfer Class
DoNotInfer Members
DoNotInfer Constructor
ExampleAttribute Class
ExampleAttribute Members
ExampleAttribute Constructor
ExampleAttribute Properties
Category Property
Description Property
Prefix Property
ExpectationPropagation Class
ExpectationPropagation Members
ExpectationPropagation Constructor
ExpectationPropagation Methods
GetAlgorithmConversionOperator Method
GetEvidenceMethodName Method
GetOperatorMethodSuffix Method
GetVariableFactor Method
ExpectationPropagation Properties
Name Property
ShortName Property
GibbsSampling Class
GibbsSampling Members
GibbsSampling Constructor
GibbsSampling Fields
DefaultSideChannels Field
UseSideChannels Field
GibbsSampling Methods
GetAlgorithmConversionOperator Method
GetEvidenceMethodName Method
GetMessagePrototype Method
GetOperatorMethodSuffix Method
GetQueryTypeBinding Method
GetVariableFactor Method
ModifyFactorAttributes Method
SetDefaultQueryTypes Method
GibbsSampling Properties
BurnIn Property
DefaultNumberOfIterations Property
Name Property
ShortName Property
Thin Property
GivePriorityTo Class
GivePriorityTo Members
GivePriorityTo Constructor
GivePriorityTo Fields
Container Field
GivePriorityTo Methods
ToString Method
GroupMember Class
GroupMember Members
GroupMember Constructor
GroupMember Fields
Group Field
IsRoot Field
GroupMember Methods
ToString Method
HasName Interface
HasName Members
HasName Properties
Name Property
IAlgorithm Interface
IAlgorithm Members
IAlgorithm Methods
GetAlgorithmConversionOperator Method
GetEvidenceMethodName Method
GetMessagePrototype Method
GetOperatorMethodSuffix Method
GetQueryTypeBinding Method
GetVariableFactor Method
ModifyFactorAttributes Method
SetDefaultQueryTypes Method
IAlgorithm Properties
DefaultNumberOfIterations Property
ShortName Property
IGeneratedAlgorithm Interface
IGeneratedAlgorithm Members
IGeneratedAlgorithm Methods
Execute Method
GetObservedValue Method
GetOutputMessage Method
Marginal Method
Marginal Method (String)
Marginal(T) Method (String)
Marginal(T) Method (String, String)
Marginal Method (String, String)
Reset Method
SetObservedValue Method
Update Method
IGeneratedAlgorithm Properties
NumberOfIterationsDone Property
IGeneratedAlgorithm Events
ProgressChanged Event
IIterativeProcess Interface
IIterativeProcess Members
IIterativeProcess Methods
Initialise Method
Reset Method
Update Method
InferenceEngine Class
InferenceEngine Members
InferenceEngine Constructor
InferenceEngine Constructor
InferenceEngine Constructor (IAlgorithm)
InferenceEngine Fields
DefaultEngine Field
InferenceEngine Methods
GetBuiltInAlgorithms Method
GetCodeToInfer Method
GetCompiledInferenceAlgorithm Method
GetOutputMessage(Distribution) Method
GetRelevantModelExpressions Method
Group Method
Infer Method
Infer Method (IVariable)
Infer(TReturn) Method (IVariable)
Infer Method (IVariable, QueryType)
Infer(TReturn) Method (IVariable, QueryType)
InferAll Method
InferAll Method (IVariable[])
InferAll Method (IEnumerable(IVariable))
SetTo Method
ShowFactorManager Method
ShowFactorManager Method (Boolean)
ShowFactorManager Method (Boolean, IAlgorithm[])
InferenceEngine Properties
Algorithm Property
BrowserMode Property
Compiler Property
Groups Property
ModelName Property
Name Property
NumberOfIterations Property
OptimiseForVariables Property
ResetOnObservedValueChanged Property
ShowFactorGraph Property
ShowMsl Property
ShowProgress Property
ShowSchedule Property
ShowTimings Property
ShowWarnings Property
InferenceEngine Events
ProgressChanged Event
InferenceProgressEventArgs Class
InferenceProgressEventArgs Members
InferenceProgressEventArgs Constructor
InferenceProgressEventArgs Properties
Algorithm Property
Iteration Property
InferenceProgressEventHandler Delegate
MarginalPrototype Class
MarginalPrototype Members
MarginalPrototype Constructor
MarginalPrototype Fields
prototype Field
MaxProductBeliefPropagation Class
MaxProductBeliefPropagation Members
MaxProductBeliefPropagation Constructor
MaxProductBeliefPropagation Methods
GetAlgorithmConversionOperator Method
GetEvidenceMethodName Method
GetMessagePrototype Method
GetOperatorMethodSuffix Method
GetVariableFactor Method
MaxProductBeliefPropagation Properties
Name Property
ShortName Property
ModelCompiler Class
ModelCompiler Members
ModelCompiler Methods
CompileWithoutParams Method
CompileWithParamArray Method
ConstructTransformChain Method
GivePriorityTo Method
RemovePriority Method
SetTo Method
ModelCompiler Properties
Algorithm Property
CatchExceptions Property
DeclarationProvider Property
FreeMemory Property
GeneratedSourceFolder Property
GenerateInMemory Property
IgnoreEqualObservedValuesForReferenceTypes Property
IgnoreEqualObservedValuesForValueTypes Property
IncludeDebugInformation Property
OptimiseInferenceCode Property
PriorityList Property
RecommendedQuality Property
RequiredQuality Property
ReturnCopies Property
ShowProgress Property
ShowWarnings Property
UnrollLoops Property
UseParallelForLoops Property
UseSerialSchedules Property
WriteSourceFiles Property
ModelCompiler Events
Compiled Event
Compiling Event
ParametersChanged Event
ModelCompiler.CompileEventArgs Class
ModelCompiler.CompileEventArgs Members
ModelCompiler.CompileEventArgs Constructor
ModelCompiler.CompileEventArgs Constructor ()
ModelCompiler.CompileEventArgs Constructor (, Exception)
ModelCompiler.CompileEventArgs Fields
Exception Field
TransformerChain Field
ModelCompiler.CompileEventHandler Delegate
Output Class
Output Members
Output Constructor
PositionAttribute Class
PositionAttribute Members
PositionAttribute Constructor
PositionAttribute Constructor (Point)
PositionAttribute Constructor (Int32, Int32)
PositionAttribute Properties
Position Property
ProgressChangedEventArgs Class
ProgressChangedEventArgs Members
ProgressChangedEventArgs Constructor
ProgressChangedEventArgs Properties
Iteration Property
Quality Class
Quality Members
Quality Constructor
Quality Fields
Band Field
Quality Methods
GetQualityBand Method
GetQualityBand Method (MemberInfo)
GetQualityBand Method (Type)
ToString Method
QualityBand Enumeration
QueryType Class
QueryType Members
QueryType Constructor
QueryType Fields
Name Field
QueryType Methods
ToString Method
QueryTypes Class
QueryTypes Members
QueryTypes Fields
Conditionals Field
Marginal Field
Samples Field
Sequential Class
Sequential Members
Sequential Constructor
Stochastic Class
Stochastic Members
Stochastic Constructor
TraceMessages Class
TraceMessages Members
TraceMessages Constructor
TraceMessages Properties
Containing Property
ValueRange Class
ValueRange Members
ValueRange Constructor
ValueRange Fields
Range Field
ValueRange Methods
ToString Method
VariableGroup Class
VariableGroup Members
VariableGroup Constructor
VariableGroup Constructor
VariableGroup Constructor (VariableGroup)
VariableGroup Methods
FromVariables Method
ToString Method
VariableGroup Properties
Name Property
Variables Property
VariationalMessagePassing Class
VariationalMessagePassing Members
VariationalMessagePassing Constructor
VariationalMessagePassing Fields
UseDerivMessages Field
UseGateExitRandom Field
VariationalMessagePassing Methods
GetAlgorithmConversionOperator Method
GetEvidenceMethodName Method
GetOperatorMethodSuffix Method
GetVariableFactor Method
VariationalMessagePassing Properties
Name Property
ShortName Property
MicrosoftResearch.Infer.Collections Namespace
ApproximateSparseList(T) Class
ApproximateSparseList(T) Members
ApproximateSparseList(T) Fields
DefaultTolerance Field
ApproximateSparseList(T) Methods
Clone Method
Constant Method
FromSize Method
FromSparseValues Method
SetTo Method
SetTo Method (ApproximateSparseList(T))
SetTo Method (IList(T), T)
SetToFunction Method
SetToFunction(T2) Method (IEnumerable(T2), Func(T2, T))
SetToFunction(T2) Method (ISparseEnumerable(T2), Func(T2, T))
SetToFunction(T2) Method (SparseList(T2), Func(T2, T))
SetToFunction(T1, T2) Method (IEnumerable(T1), IEnumerable(T2), Func(T1, T2, T))
SetToFunction(T1, T2) Method (ISparseEnumerable(T1), ISparseEnumerable(T2), Func(T1, T2, T))
SetToFunction(T1, T2) Method (SparseList(T1), SparseList(T2), Func(T1, T2, T))
SetToFunction(T1, T2, T3) Method (IEnumerable(T1), IEnumerable(T2), IEnumerable(T3), Func(T1, T2, T3, T))
SetToFunction(T1, T2, T3) Method (ISparseEnumerable(T1), ISparseEnumerable(T2), ISparseEnumerable(T3), Func(T1, T2, T3, T))
SetToFunction(T1, T2, T3, T4) Method (IEnumerable(T1), IEnumerable(T2), IEnumerable(T3), IEnumerable(T4), Func(T1, T2, T3, T4, T))
SetToFunction(T1, T2, T3, T4) Method (ISparseList(T1), ISparseList(T2), ISparseList(T3), ISparseList(T4), Func(T1, T2, T3, T4, T))
SetToFunctionInPlace(T1) Method
ApproximateSparseList(T) Properties
Item Property
Tolerance Property
Array(T) Class
Array(T) Members
Array(T) Constructor
Array(T) Constructor (Int32)
Array(T) Constructor (T[])
Array(T) Constructor (Array(T))
Array(T) Methods
Clone Method
ConvertibleToArray.ToArray Method
CopyTo Method
Equals Method
GetHashCode Method
GetLength Method
SetTo Method
SetTo Method (T[])
SetTo Method (Array(T))
ToArray Method
ToArray Method
ToArray(TOutput) Method (Converter(T, TOutput), Array(T))
Array(T) Properties
Rank Property
Array2D(T) Class
Array2D(T) Members
Array2D(T) Constructor
Array2D(T) Constructor (T[,])
Array2D(T) Constructor (Array2D(T))
Array2D(T) Constructor (Int32, Int32)
Array2D(T) Fields
Length0 Field
Length1 Field
Array2D(T) Methods
Clone Method
ConvertibleToArray.ToArray Method
CopyTo Method
Equals Method
ForEach Method
ForEach(U) Method (U[,], Action(T, U))
ForEach(U, V) Method (U[,], V[,], Action(T, U, V))
GetHashCode Method
GetLength Method
ModifyAll Method
ModifyAll(U) Method (U[,], Converter(T, U, T))
ModifyAll(U, V) Method (U[,], V[,], Converter(T, U, V, T))
SetTo Method
SetTo Method (T[,])
SetTo Method (Array2D(T))
ToArray Method
ToArray Method
ToArray(TOutput) Method (Converter(T, TOutput), Array2D(T))
ToString Method
Array2D(T) Properties
Item Property
Rank Property
ArrayAsList(T) Class
ArrayAsList(T) Members
ArrayAsList(T) Constructor
ArrayAsList(T) Constructor (Array)
ArrayAsList(T) Constructor (Int32)
ArrayAsList(T) Constructor (Int32[])
ArrayAsList(T) Constructor (Int32, Int32)
ArrayAsList(T) Methods
IEnumerable.GetEnumerator Method
Add Method
Clear Method
Contains Method
CopyTo Method
Equals Method
FindIndex Method
ForEach Method
ForEach Method (Action(T))
ForEach Method (Action(Int32, T))
ForEach Method (Array, Action(T, T))
ForEach(U) Method (Array, Action(T, U))
ForEach Method (Array, Array, Action(T, T, T))
GetEnumerator Method
GetHashCode Method
GetLength Method
GetLengths Method
IndexOf Method
Insert Method
ModifyAll Method
ModifyAll Method (Converter(T, T))
ModifyAll Method (Array, Converter(T, T, T))
ModifyAll Method (Array, Array, Converter(T, T, T, T))
Remove Method
RemoveAt Method
ToArray Method
ToArray(TRet) Method
ToArray Method
ToString Method
ArrayAsList(T) Properties
Array Property
Array1D Property
Array2D Property
Count Property
IsReadOnly Property
Item Property
Item Property (Int32)
Item Property (Int32[])
Item Property (Int32, Int32)
ArrayBase(T) Class
ArrayBase(T) Members
ArrayBase(T) Methods
IEnumerable.GetEnumerator Method
Add Method
Clear Method
Contains Method
CopyTo Method
Equals Method
FindIndex Method
ForEach Method
ForEach Method (Action(T))
ForEach(U) Method (U[], Action(T, U))
ForEach(U, V) Method (U[], V[], Action(T, U, V))
GetEnumerator Method
GetHashCode Method
GetLength Method
IndexOf Method
Insert Method
Remove Method
RemoveAt Method
SetAllElementsTo Method
SetToFunction Method
SetToFunction(U) Method (U[], Converter(U, T))
SetToFunction(U) Method (ArrayBase(U), Converter(U, T))
SetToFunction(U, V) Method (ArrayBase(U), V[], Converter(U, V, T))
SetToFunction(U, V, W) Method (ArrayBase(U), V[], W[], Converter(U, V, W, T))
ToString Method
ArrayBase(T) Properties
Count Property
IsReadOnly Property
Item Property
Rank Property
ArrayHelper Class
ArrayHelper Members
ArrayHelper Constructor
ArrayHelper Methods
CopyStorage(T) Method
Fill Method
Fill(T) Method (Int32, T)
Fill(T) Method (T[], T)
Fill2D Method
Fill2D(T) Method (T[,], T)
Fill2D(T) Method (Int32, Int32, T)
MakeCopy(T) Method
MakeUniform(T) Method
SetToProductWith(T) Method
SetToUniform(T) Method
Collection Class
Collection Members
Collection Methods
AddRange(T) Method
ContainsAll(T) Method
ContainsAny(T) Method
ToArray(T) Method
Converter(TInput, T2, TOutput) Delegate
Converter(TInput, T2, T3, TOutput) Delegate
ConvertibleToArray Interface
ConvertibleToArray Members
ConvertibleToArray Methods
ToArray Method
CursorArray(CursorType) Class
CursorArray(CursorType) Members
CursorArray(CursorType) Constructor
CursorArray(CursorType) Constructor (CursorType)
CursorArray(CursorType) Constructor (CursorType, Int32[])
CursorArray(CursorType) Constructor (CursorType, IList(Int32), IList(Int32))
CursorArray(CursorType) Methods
IEnumerable.GetEnumerator Method
CheckCompatible Method
Clone Method
CreateSourceArray Method
ForEach Method
ForEach Method (Action)
ForEach Method (ICursorArray, Action)
ForEach Method (ICursorArray, ICursorArray, Action)
GetEnumerator Method
GetLength Method
IsCompatibleWith Method
IsCompatibleWith Method (Array)
IsCompatibleWith Method (ICursorArray)
LinearIndexToMultidimensionalIndex Method
MoveTo Method
MoveTo Method (Int32)
MoveTo Method (Int32[])
ReferenceClone Method
CursorArray(CursorType) Properties
Count Property
ICursor.Count Property
Item Property
Item Property (Int32)
Item Property (Int32[])
Item Property
ICursorArray.Item Property (Int32)
ICursorArray.Item Property (Int32[])
Lengths Property
Rank Property
Start Property
Stride Property
DictionaryComparer(TKey, TValue) Class
DictionaryComparer(TKey, TValue) Members
DictionaryComparer(TKey, TValue) Constructor
DictionaryComparer(TKey, TValue) Methods
Equals Method
GetHashCode Method
Enumerable Class
Enumerable Members
Enumerable Methods
AreEqual Method
AreEqual(T) Method (IEnumerable(T), IEnumerable(T))
AreEqual Method (IEnumerable, IEnumerable)
ConvertAll(TInput, TOutput) Method
CopyTo(T) Method
Count Method
Count(T) Method (IEnumerable(T))
Count(T) Method (IEnumerable(T), Predicate(T))
Exists(T) Method
FindAll Method
FindAll(BaseType, T) Method (IEnumerable(BaseType))
FindAll(T) Method (IEnumerable(T), Predicate(T))
FindIndex Method
FindIndex(T) Method (IEnumerable(T), Predicate(T))
FindIndex(T) Method (IEnumerable, Predicate(T))
ForEach Method
ForEach(T) Method (IEnumerable(T), Action(T))
ForEach(T) Method (IEnumerable(T), Action(Int32, T))
ForEach(T) Method (IEnumerable, Action(T))
ForEach(T) Method (IEnumerable, Action(Int32, T))
ForEach(T, U) Method (IEnumerable(T), IEnumerable(U), Action(T, U))
FromEnumerator(T) Method
GetHashCodeAsSequence Method
GetHashCodeAsSequence(T) Method (IEnumerable(T))
GetHashCodeAsSequence Method (IEnumerable)
GetHashCodeAsSet Method
GetHashCodeAsSet(T) Method (IEnumerable(T))
GetHashCodeAsSet(T) Method (IEnumerable(T), IEqualityComparer(T))
IndexOf Method
IndexOf(T) Method (IEnumerable(T), T)
IndexOf(T) Method (IEnumerable, T)
Join(T) Method
Merge(T) Method
Split(T) Method
TrueForAll Method
TrueForAll(T) Method (IEnumerable(T), Predicate(T))
TrueForAll(T) Method (IEnumerable(T), IEnumerable(T), Predicate(T, T))
EnumerableComparer(T) Class
EnumerableComparer(T) Members
EnumerableComparer(T) Constructor
EnumerableComparer(T) Methods
Equals Method
Equals Method (ICollection(T), ICollection(T))
Equals Method (IEnumerable(T), IEnumerable(T))
GetHashCode Method
GetHashCode Method (ICollection(T))
GetHashCode Method (IEnumerable(T))
Func(T1, T2, T3, T4, T5, TResult) Delegate
FuncExtensions Class
FuncExtensions Members
FuncExtensions Methods
Map Method
Map(T, TRes) Method (Func(T, TRes), IEnumerable(T))
Map(T1, T2, TRes) Method (Func(T1, T2, TRes), IEnumerable(T1), IEnumerable(T2))
Map(T1, T2, T3, TRes) Method (Func(T1, T2, T3, TRes), IEnumerable(T1), IEnumerable(T2), IEnumerable(T3))
Map(T1, T2, T3, T4, TRes) Method (Func(T1, T2, T3, T4, TRes), IEnumerable(T1), IEnumerable(T2), IEnumerable(T3), IEnumerable(T4))
Map(T1, T2, T3, T4, T5, TRes) Method (Func(T1, T2, T3, T4, T5, TRes), IEnumerable(T1), IEnumerable(T2), IEnumerable(T3), IEnumerable(T4), IEnumerable(T5))
HashedList(T) Class
HashedList(T) Members
HashedList(T) Constructor
HashedList(T) Constructor
HashedList(T) Constructor (IList(T))
HashedList(T) Methods
IEnumerable.GetEnumerator Method
GetEnumerator Method
IndexOf Method
Insert Method
RemoveAt Method
HashedList(T) Properties
Item Property
IArray(T) Interface
IArray(T) Members
IArray(T) Methods
GetLength Method
IArray(T) Properties
Rank Property
IArray2D(T) Interface
IArray2D(T) Members
IArray2D(T) Properties
Item Property
IArrayFactory(ItemType, ArrayType) Interface
IArrayFactory(ItemType, ArrayType) Members
IArrayFactory(ItemType, ArrayType) Methods
CreateArray Method
ICursor Interface
ICursor Members
ICursor Methods
CreateSourceArray Method
ReferenceClone Method
ICursor Properties
Count Property
Start Property
ICursorArray Interface
ICursorArray Members
ICursorArray Methods
GetLength Method
MoveTo Method
MoveTo Method (Int32)
MoveTo Method (Int32[])
ICursorArray Properties
Count Property
Item Property
Item Property (Int32)
Item Property (Int32[])
Lengths Property
Rank Property
ICursorArray(T) Interface
ICursorArray(T) Members
ICursorArray(T) Methods
GetLength Method
MoveTo Method
MoveTo Method (Int32)
MoveTo Method (Int32[])
ICursorArray(T) Properties
Count Property
Item Property
Item Property (Int32)
Item Property (Int32[])
Lengths Property
Rank Property
IEnumerableExensions Class
IEnumerableExensions Members
IEnumerableExensions Methods
EnumerableReduce(T, TRes) Method
EnumerableSum(T) Method
ListZip Method
ListZip(TFirst, TSecond, TResult) Method (IList(TFirst), IEnumerable(TSecond), Func(TFirst, TSecond, TResult))
ListZip(TFirst, TSecond, TThird, TResult) Method (IList(TFirst), IEnumerable(TSecond), IEnumerable(TThird), Func(TFirst, TSecond, TThird, TResult))
ListZip(TFirst, TSecond, TThird, TFourth, TResult) Method (IList(TFirst), IList(TSecond), IList(TThird), IList(TFourth), Func(TFirst, TSecond, TThird, TFourth, TResult))
IListExtensions Class
IListExtensions Members
IListExtensions Methods
Inner Method
IsSparse(T) Method
ListReduce Method
ListReduce(T, TRes) Method (IList(T), TRes, Func(TRes, T, TRes))
ListReduce(T, T2, TRes) Method (IList(T), IEnumerable(T2), TRes, Func(TRes, T, T2, TRes))
ListSelect(T, T2) Method
ListSum Method
ListSum Method (IList(Int32))
ListSum Method (IList(Int32), Func(Int32, Double))
SetTo Method
SetTo Method (IList(Double), IEnumerable(Double))
SetTo(T) Method (IList(T), IEnumerable(T))
ToVector Method
ToVector Method (IList(Double))
ToVector Method (IList(Int32))
ISparseEnumerable(T) Interface
ISparseEnumerable(T) Members
ISparseEnumerable(T) Methods
GetSparseEnumerator Method
ISparseEnumerator(T) Interface
ISparseEnumerator(T) Members
ISparseEnumerator(T) Properties
CommonValue Property
CommonValueCount Property
CurrentIndex Property
ISparseList(T) Interface
JaggedArray Class
JaggedArray Members
JaggedArray Methods
ConvertElements Method
ConvertElements Method (Array, JaggedArray.ElementConverter)
ConvertElements Method (Array, Type, JaggedArray.ElementConverter)
ConvertElements2 Method
ConvertElements2 Method (Array, Array, JaggedArray.ElementConverter2)
ConvertElements2 Method (Array, Array, Type, JaggedArray.ElementConverter2)
ConvertToNew Method
ConvertToNew(SourceLeafType, TargetLeafType) Method (Array, JaggedArray.ElementConverter(SourceLeafType, TargetLeafType))
ConvertToNew Method (Array, Type, JaggedArray.ElementConverter)
ConvertToNew Method (Array, Type, Type, JaggedArray.ElementConverter)
ElementIterator Method
ElementIterator(LeafType) Method (IEnumerable)
ElementIterator Method (IEnumerable)
ElementIterator Method (IEnumerable, Type)
GetDepth Method
GetDepth(JaggedType, LeafType) Method
GetDepth(JaggedType) Method
GetDepth Method (Type)
GetDepth Method (Type, Type)
GetInnermostType Method
GetInnermostType(JaggedType) Method
GetInnermostType Method (Type)
GetLength Method
GetLength Method (IEnumerable)
GetLength(LeafType) Method (IEnumerable)
GetLength Method (IEnumerable, Type)
GetLongLength Method
GetLongLength(LeafType) Method (IEnumerable)
GetLongLength Method (IEnumerable)
GetLongLength Method (IEnumerable, Type)
GetRanks Method
GetRanks(JaggedType, LeafType) Method
GetRanks(JaggedType) Method
GetRanks Method (Type)
GetRanks Method (Type, Type)
GetTypes Method
GetTypes(JaggedType, LeafType, TargetLeafType) Method
GetTypes(JaggedType, LeafType) Method
GetTypes(JaggedType) Method
GetTypes Method (Type)
GetTypes Method (Type, Type)
GetTypes Method (Type, Type, Type)
VisitElements Method
VisitElements Method (IEnumerable, JaggedArray.ElementAction)
VisitElements Method (IEnumerable, Type, JaggedArray.ElementAction)
VisitElements2 Method
VisitElements2 Method (IEnumerable, IEnumerable, JaggedArray.ElementAction2)
VisitElements2 Method (IEnumerable, IEnumerable, Type, Type, JaggedArray.ElementAction2)
JaggedArray.ElementAction Delegate
JaggedArray.ElementAction2 Delegate
JaggedArray.ElementConverter Delegate
JaggedArray.ElementConverter(SourceLeafType, TargetLeafType) Delegate
JaggedArray.ElementConverter2 Delegate
ListComparer(T) Class
ListComparer(T) Members
ListComparer(T) Constructor
ListComparer(T) Methods
IEqualityComparer(IList(T)).GetHashCode Method
EqualLists Method
Equals Method
GetHashCode Method
ParallelCursorArray(CursorType, ArrayType) Class
ParallelCursorArray(CursorType, ArrayType) Members
ParallelCursorArray(CursorType, ArrayType) Constructor
ParallelCursorArray(CursorType, ArrayType) Methods
IEnumerable.GetEnumerator Method
Clone Method
CreateSourceArray Method
GetEnumerator Method
GetLength Method
IsCompatibleWith Method
MoveTo Method
MoveTo Method (Int32)
MoveTo Method (Int32[])
ReferenceClone Method
ParallelCursorArray(CursorType, ArrayType) Properties
Count Property
ICursor.Count Property
Item Property
Item Property (Int32)
Item Property (Int32[])
Lengths Property
Rank Property
Start Property
Predicate(T1, T2) Delegate
PriorityQueue(T) Class
PriorityQueue(T) Members
PriorityQueue(T) Constructor
PriorityQueue(T) Constructor
PriorityQueue(T) Constructor (IComparer(T))
PriorityQueue(T) Constructor (IEnumerable(T))
PriorityQueue(T) Constructor (Int32)
PriorityQueue(T) Constructor (IEnumerable(T), Action(T, Int32))
PriorityQueue(T) Constructor (IEnumerable(T), IComparer(T))
PriorityQueue(T) Constructor (Int32, IComparer(T))
PriorityQueue(T) Constructor (IEnumerable(T), IComparer(T), Action(T, Int32))
PriorityQueue(T) Fields
Comparer Field
Items Field
PriorityQueue(T) Methods
Add Method
AddRange Method
Changed Method
Clear Method
Clone Method
Contains Method
ExtractMinimum Method
IndexOf Method
LessThan Method
RemoveAt Method
SiftAll Method
SiftDown Method
SiftUp Method
ToString Method
PriorityQueue(T) Properties
Count Property
Item Property
PriorityQueue(T) Events
Moved Event
Set(T) Class
Set(T) Members
Set(T) Constructor
Set(T) Constructor
Set(T) Constructor (IEqualityComparer(T))
Set(T) Constructor (Int32, IEqualityComparer(T))
Set(T) Methods
IEnumerable.GetEnumerator Method
Add Method
AddRange Method
Clear Method
Clone Method
Contains Method
Contains Method (IList(T))
Contains Method (T)
ContainsAll Method
ContainsAny Method
ConvertAll Method
CopyTo Method
Difference Method
Equals Method
FromEnumerable Method
FromEnumerable Method (IEnumerable(T))
FromEnumerable Method (IEqualityComparer(T), IEnumerable(T))
GetEnumerator Method
GetHashCode Method
Intersection Method
Remove Method
Remove Method (IEnumerable(T))
Remove Method (T)
ToString Method
Union Method
Set(T) Operators
Addition Operator
BitwiseAnd Operator
BitwiseOr Operator
Equality Operator
GreaterThan Operator
GreaterThanOrEqual Operator
Inequality Operator
LessThan Operator
LessThanOrEqual Operator
Subtraction Operator
Set(T) Properties
Capacity Property
Comparer Property
Count Property
IsReadOnly Property
Set(T).EmptyStruct Structure
SortedSet(T) Class
SortedSet(T) Members
SortedSet(T) Constructor
SortedSet(T) Constructor
SortedSet(T) Constructor (IComparer(T))
SortedSet(T) Constructor (Int32, IComparer(T))
SortedSet(T) Methods
IEnumerable.GetEnumerator Method
Add Method
AddRange Method
Clear Method
Clone Method
Contains Method
Contains Method (IList(T))
Contains Method (T)
ContainsAny Method
CopyTo Method
Equals Method
FromEnumerable Method
FromEnumerable Method (IEnumerable(T))
FromEnumerable Method (IComparer(T), IEnumerable(T))
GetEnumerator Method
GetHashCode Method
IndexOf Method
Insert Method
Intersection Method
Remove Method
Remove Method (IEnumerable(T))
Remove Method (T)
RemoveAt Method
ToString Method
Union Method
SortedSet(T) Operators
BitwiseAnd Operator
BitwiseOr Operator
Equality Operator
GreaterThan Operator
GreaterThanOrEqual Operator
Inequality Operator
LessThan Operator
LessThanOrEqual Operator
SortedSet(T) Properties
Capacity Property
Comparer Property
Count Property
IsReadOnly Property
Item Property
SortedSet(T).EmptyStruct Structure
SparseElement(T) Structure
SparseElement(T) Members
SparseElement(T) Constructor
SparseElement(T) Fields
NoElement Field
SparseElement(T) Methods
CompareTo Method
Equals Method
GetHashCode Method
ToString Method
SparseElement(T) Properties
Index Property
Value Property
SparseList(T) Class
SparseList(T) Members
SparseList(T) Methods
IList.Add Method
ICloneable.Clone Method
IList.Contains Method
ICollection.CopyTo Method
IEnumerable.GetEnumerator Method
IList.IndexOf Method
IList.Insert Method
IList.Remove Method
Add Method
All Method
Any Method
Clear Method
Clone Method
Constant Method
Contains Method
Copy Method
CopyTo Method
EqualsAll Method
FromSize Method
FromSparseValues Method
GetEnumerator Method
GetFirstCommonIndex Method
GetSparseEnumerator Method
IndexOf Method
IndexOfAll Method
Insert Method
Reduce Method
Reduce(TRes) Method (TRes, Func(TRes, T, TRes))
Reduce(TRes, T2) Method (TRes, IEnumerable(T2), Func(TRes, T, T2, TRes))
Reduce(TRes) Method (TRes, Func(TRes, T, TRes), Func(TRes, T, Int32, TRes))
Reduce(TRes, T1) Method (TRes, ISparseEnumerable(T1), Func(TRes, T, T1, TRes), Func(TRes, T, T1, Int32, TRes))
Reduce(TRes, T1, T2) Method (TRes, IList(T1), IList(T2), Func(TRes, T, T1, T2, TRes))
Reduce(TRes, T1, T2) Method (TRes, ISparseEnumerable(T1), ISparseEnumerable(T2), Func(TRes, T, T1, T2, TRes), Func(TRes, T, T1, T2, Int32, TRes))
Remove Method
RemoveAt Method
SetAllElementsTo Method
SetTo Method
SetTo Method (IEnumerable(T))
SetTo Method (IList(T))
SetTo Method (SparseList(T))
SetTo Method (IList(T), T)
SetToFunction Method
SetToFunction(T2) Method (IEnumerable(T2), Func(T2, T))
SetToFunction(T2) Method (ISparseEnumerable(T2), Func(T2, T))
SetToFunction(T2) Method (SparseList(T2), Func(T2, T))
SetToFunction(T1, T2) Method (IEnumerable(T1), IEnumerable(T2), Func(T1, T2, T))
SetToFunction(T1, T2) Method (ISparseEnumerable(T1), ISparseEnumerable(T2), Func(T1, T2, T))
SetToFunction(T1, T2) Method (SparseList(T1), SparseList(T2), Func(T1, T2, T))
SetToFunction(T1, T2, T3) Method (IEnumerable(T1), IEnumerable(T2), IEnumerable(T3), Func(T1, T2, T3, T))
SetToFunction(T1, T2, T3) Method (ISparseEnumerable(T1), ISparseEnumerable(T2), ISparseEnumerable(T3), Func(T1, T2, T3, T))
SetToFunction(T1, T2, T3, T4) Method (IEnumerable(T1), IEnumerable(T2), IEnumerable(T3), IEnumerable(T4), Func(T1, T2, T3, T4, T))
SetToFunction(T1, T2, T3, T4) Method (ISparseList(T1), ISparseList(T2), ISparseList(T3), ISparseList(T4), Func(T1, T2, T3, T4, T))
SetToFunctionInPlace(T1) Method
ToArray Method
ToList Method
ToString Method
ToString Method
ToString Method (String)
SparseList(T) Properties
IList.IsFixedSize Property
ICollection.IsSynchronized Property
IList.Item Property
ICollection.SyncRoot Property
CommonValue Property
Count Property
HasCommonElements Property
IsReadOnly Property
Item Property
SparseCount Property
SparseValues Property
Sparsity Property
MicrosoftResearch.Infer.Distributions Namespace
AccumulateIntoCollection(T) Class
AccumulateIntoCollection(T) Members
AccumulateIntoCollection(T) Constructor
AccumulateIntoCollection(T) Fields
Collection Field
AccumulateIntoCollection(T) Methods
Add Method
Clear Method
Accumulator(T) Interface
Accumulator(T) Members
Accumulator(T) Methods
Add Method
Clear Method
AccumulatorList(T) Class
AccumulatorList(T) Members
AccumulatorList(T) Constructor
AccumulatorList(T) Fields
Accumulators Field
AccumulatorList(T) Methods
Add Method
Clear Method
Array2DEstimator(ItemEstimator, DistributionArray, Distribution) Class
Array2DEstimator(ItemEstimator, DistributionArray, Distribution) Members
Array2DEstimator(ItemEstimator, DistributionArray, Distribution) Constructor
Array2DEstimator(ItemEstimator, DistributionArray, Distribution) Constructor (ItemEstimator[,])
Array2DEstimator(ItemEstimator, DistributionArray, Distribution) Constructor (Int32, Int32, Converter(Int32, Int32, ItemEstimator))
Array2DEstimator(ItemEstimator, DistributionArray, Distribution) Methods
Add Method
Clear Method
Clone Method
GetDistribution Method
SetTo Method
Array2DEstimator(ItemEstimator, DistributionArray, Distribution, Sample) Class
Array2DEstimator(ItemEstimator, DistributionArray, Distribution, Sample) Members
Array2DEstimator(ItemEstimator, DistributionArray, Distribution, Sample) Constructor
Array2DEstimator(ItemEstimator, DistributionArray, Distribution, Sample) Constructor (ItemEstimator[,])
Array2DEstimator(ItemEstimator, DistributionArray, Distribution, Sample) Constructor (Int32, Int32, Converter(Int32, Int32, ItemEstimator))
Array2DEstimator(ItemEstimator, DistributionArray, Distribution, Sample) Methods
Add Method
Clear Method
Clone Method
GetDistribution Method
SetTo Method
ArrayEstimator Class
ArrayEstimator Members
ArrayEstimator Constructor
ArrayEstimator Methods
CreateEstimator(T, TDomain) Method
GetEstimatorType Method
ArrayEstimator(T) Class
ArrayEstimator(T) Members
ArrayEstimator(T) Methods
Array Method
Array(TEstArray, TEstimator) Method (TEstimator[,], Type[])
Array(TEstArray, TEstimator) Method (TEstimator[,][], Type[])
Array(TEstArray, TEstimator) Method (TEstimator[], Type[])
Array(TEstArray, TEstimator) Method (TEstimator[][,], Type[])
Array(TEstArray, TEstimator) Method (TEstimator[][], Type[])
Array(TEstArray, TEstimator) Method (TEstimator[][][], Type[])
Array(TEstArray, TEstimator) Method (Int32, Converter(Int32, TEstimator), Type[])
Array(TEstArray, TEstimator) Method (Int32, Int32, Converter(Int32, Int32, TEstimator), Type[])
ArrayEstimator(ItemEstimator, DistributionArray, Distribution) Class
ArrayEstimator(ItemEstimator, DistributionArray, Distribution) Members
ArrayEstimator(ItemEstimator, DistributionArray, Distribution) Constructor
ArrayEstimator(ItemEstimator, DistributionArray, Distribution) Constructor (ItemEstimator[])
ArrayEstimator(ItemEstimator, DistributionArray, Distribution) Constructor (Int32, Converter(Int32, ItemEstimator))
ArrayEstimator(ItemEstimator, DistributionArray, Distribution) Methods
Add Method
Clear Method
Clone Method
GetDistribution Method
SetTo Method
ArrayEstimator(ItemEstimator, DistributionArray, Distribution, Sample) Class
ArrayEstimator(ItemEstimator, DistributionArray, Distribution, Sample) Members
ArrayEstimator(ItemEstimator, DistributionArray, Distribution, Sample) Constructor
ArrayEstimator(ItemEstimator, DistributionArray, Distribution, Sample) Constructor (ItemEstimator[])
ArrayEstimator(ItemEstimator, DistributionArray, Distribution, Sample) Constructor (Int32, Converter(Int32, ItemEstimator))
ArrayEstimator(ItemEstimator, DistributionArray, Distribution, Sample) Methods
Add Method
Clear Method
Clone Method
GetDistribution Method
SetTo Method
Bernoulli Structure
Bernoulli Members
Bernoulli Constructor
Bernoulli Constructor (Double)
Bernoulli Constructor (Bernoulli)
Bernoulli Fields
LogOdds Field
Bernoulli Methods
Clone Method
FromLogOdds Method
Gate Method
GetAverageLog Method
GetLogAverageOf Method
GetLogNormalizer Method
GetLogProb Method
GetLogProbFalse Method
GetLogProbTrue Method
GetMean Method
GetProbFalse Method
GetProbTrue Method
GetVariance Method
IsUniform Method
LogitProbEqual Method
LogProbEqual Method
MaxDiff Method
Or Method
PointMass Method
Sample Method
Sample Method
Sample Method (Boolean)
Sample Method (Double)
SetLogProbFalse Method
SetLogProbTrue Method
SetMean Method
SetProbFalse Method
SetProbTrue Method
SetTo Method
SetToPower Method
SetToProduct Method
SetToRatio Method
SetToSum Method
SetToUniform Method
Uniform Method
Bernoulli Operators
Division Operator
Equality Operator
ExclusiveOr Operator
Inequality Operator
LogicalNot Operator
Multiply Operator
Bernoulli Properties
IsPointMass Property
Point Property
BernoulliEstimator Class
BernoulliEstimator Members
BernoulliEstimator Constructor
BernoulliEstimator Fields
N Field
NProbTrue Field
BernoulliEstimator Methods
Add Method
Add Method (Boolean)
Add Method (Bernoulli)
Clear Method
Clone Method
GetDistribution Method
SetTo Method
BernoulliIntegerSubset Class
BernoulliIntegerSubset Members
BernoulliIntegerSubset Constructor
BernoulliIntegerSubset Constructor (Int32)
BernoulliIntegerSubset Constructor (Vector)
BernoulliIntegerSubset Constructor (Int32, Double)
BernoulliIntegerSubset Methods
Clone Method
GetAverageLog Method
GetLogAverageOf Method
GetLogProb Method
Sample Method
Sample Method
Sample Method (IList(Int32))
Sample Method (SparseVector)
SetTo Method
SetToPower Method
SetToProduct Method
SetToRatio Method
SetToSum Method
BernoulliIntegerSubset Properties
Point Property
Beta Structure
Beta Members
Beta Constructor
Beta Constructor (Beta)
Beta Constructor (Double, Double)
Beta Fields
AllowImproperSum Field
FalseCount Field
TrueCount Field
Beta Methods
BetaLn Method
Clone Method
FromMeanAndVariance Method
FromMeanLogs Method
GetAverageLog Method
GetLogAverageOf Method
GetLogNormalizer Method
GetLogProb Method
GetMean Method
GetMeanAndVariance Method
GetMeanCube Method
GetMeanLog Method
GetMeanLogs Method
GetMeanSquare Method
GetVariance Method
IsProper Method
IsUniform Method
MaxDiff Method
PointMass Method
Sample Method
Sample Method
Sample Method (Double)
Sample Method (Double, Double)
SampleFromMeanAndVariance Method
SetMeanAndVariance Method
SetTo Method
SetToPower Method
SetToProduct Method
SetToRatio Method
SetToSum Method
SetToUniform Method
Uniform Method
Beta Operators
Division Operator
Equality Operator
ExclusiveOr Operator
Inequality Operator
Multiply Operator
Beta Properties
IsPointMass Property
Point Property
TotalCount Property
BetaEstimator Class
BetaEstimator Members
BetaEstimator Constructor
BetaEstimator Fields
mva Field
BetaEstimator Methods
Add Method
Add Method (Double)
Add Method (Beta)
Clear Method
Clone Method
GetDistribution Method
SetTo Method
BurnInAccumulator(T) Class
BurnInAccumulator(T) Members
BurnInAccumulator(T) Constructor
BurnInAccumulator(T) Fields
Accumulator Field
BurnIn Field
Count Field
Thin Field
BurnInAccumulator(T) Methods
Add Method
Clear Method
CanBeMessage Class
CanBeMessage Members
CanBeMessage Constructor
CanGetAverageLog(T) Interface
CanGetAverageLog(T) Members
CanGetAverageLog(T) Methods
GetAverageLog Method
CanGetLogAverageOf(T) Interface
CanGetLogAverageOf(T) Members
CanGetLogAverageOf(T) Methods
GetLogAverageOf Method
CanGetLogAverageOfPower(T) Interface
CanGetLogAverageOfPower(T) Members
CanGetLogAverageOfPower(T) Methods
GetLogAverageOfPower Method
CanGetLogNormalizer Interface
CanGetLogNormalizer Members
CanGetLogNormalizer Methods
GetLogNormalizer Method
CanGetLogProb(T) Interface
CanGetLogProb(T) Members
CanGetLogProb(T) Methods
GetLogProb Method
CanGetLogProbPrep(DistributionType, T) Interface
CanGetLogProbPrep(DistributionType, T) Members
CanGetLogProbPrep(DistributionType, T) Methods
GetLogProbPrep Method
CanGetMean(MeanType) Interface
CanGetMean(MeanType) Members
CanGetMean(MeanType) Methods
GetMean Method
CanGetMeanAndVariance(MeanType, VarType) Interface
CanGetMeanAndVariance(MeanType, VarType) Members
CanGetMeanAndVariance(MeanType, VarType) Methods
GetMeanAndVariance Method
CanGetMeanAndVarianceOut(MeanType, VarType) Interface
CanGetMeanAndVarianceOut(MeanType, VarType) Members
CanGetMeanAndVarianceOut(MeanType, VarType) Methods
GetMeanAndVariance Method
CanGetVariance(VarType) Interface
CanGetVariance(VarType) Members
CanGetVariance(VarType) Methods
GetVariance Method
CanSamplePrep(DistributionType, T) Interface
CanSamplePrep(DistributionType, T) Members
CanSamplePrep(DistributionType, T) Methods
SamplePrep Method
CanSetMean(MeanType) Interface
CanSetMean(MeanType) Members
CanSetMean(MeanType) Methods
SetMean Method
CanSetMeanAndVariance(MeanType, VarType) Interface
CanSetMeanAndVariance(MeanType, VarType) Members
CanSetMeanAndVariance(MeanType, VarType) Methods
SetMeanAndVariance Method
ConditionalList(TDist) Class
ConditionalList(TDist) Members
ConditionalList(TDist) Constructor
ConditionalList(TDist) Methods
Add Method
Clear Method
ConditionalList(TDist) Properties
Conditionals Property
ConjugateDirichlet Structure
ConjugateDirichlet Members
ConjugateDirichlet Constructor
ConjugateDirichlet Constructor (ConjugateDirichlet)
ConjugateDirichlet Constructor (Double, Double, Double, Double)
ConjugateDirichlet Fields
approximationMethod Field
D Field
K Field
Rate Field
Shape Field
ConjugateDirichlet Methods
Clone Method
FromLogMeanAndMeanLog Method
FromMeanAndMeanLog Method
FromMeanAndVariance Method
FromNatural Method
FromShapeAndRate Method
FromShapeAndScale Method
GammaApproximation Method
GetAverageLog Method
GetLogAverageOf Method
GetLogNormalizer Method
GetLogProb Method
GetLogProb Method (Double)
GetLogProb Method (Double, Double, Double, Double, Double)
GetMean Method
GetMeanAndVariance Method
GetMeanInverse Method
GetMeanLog Method
GetMeanLogGamma Method
GetMeanPower Method
GetScale Method
GetShapeAndScale Method
GetUnnormalisedLogProb Method
GetVariance Method
IsProper Method
IsProper Method
IsProper Method (Double, Double)
IsUniform Method
MaxDiff Method
PointMass Method
Sample Method
Sample Method
Sample Method (Double)
Sample Method (Double, Double)
SampleFromMeanAndVariance Method
SetMeanAndVariance Method
SetNatural Method
SetShapeAndRate Method
SetShapeAndScale Method
SetTo Method
SetToPower Method
SetToProduct Method
SetToRatio Method
SetToRatioProper Method
SetToSum Method
SetToUniform Method
SmartProposal Method
Uniform Method
ConjugateDirichlet Operators
Division Operator
Equality Operator
ExclusiveOr Operator
Inequality Operator
Multiply Operator
ConjugateDirichlet Properties
IsPointMass Property
Point Property
ConjugateDirichlet.ApproximationMethod Enumeration
ConstantFunction Class
ConstantFunction Members
ConstantFunction Constructor
ConstantFunction Constructor
ConstantFunction Constructor (Double)
ConstantFunction Methods
Evaluate Method
ToString Method
ConstantFunction Properties
ConstantValue Property
Dirichlet Class
Dirichlet Members
Dirichlet Constructor
Dirichlet Constructor (Double[])
Dirichlet Constructor (Dirichlet)
Dirichlet Constructor (Vector)
Dirichlet Fields
AllowImproperSum Field
PseudoCount Field
TotalCount Field
Dirichlet Methods
Clone Method
DirichletLn Method
EstimateNewton Method
FromMeanLog Method
GetAverageLog Method
GetLogAverageOf Method
GetLogNormalizer Method
GetLogProb Method
GetMean Method
GetMean Method
GetMean Method (Vector)
GetMeanAndVariance Method
GetMeanCube Method
GetMeanLog Method
GetMeanLog Method
GetMeanLog Method (Vector)
GetMeanLogAt Method
GetMeanSquare Method
GetVariance Method
IsProper Method
IsUniform Method
MaxDiff Method
PointMass Method
PointMass Method (Double[])
PointMass Method (Vector)
Sample Method
Sample Method
Sample Method (Vector)
Sample Method (Vector, Vector)
SampleFromPseudoCounts Method
SetMeanAndMeanSquare Method
SetMeanAndVariance Method
SetMeanLog Method
SetTo Method
SetToPower Method
SetToProduct Method
SetToRatio Method
SetToSum Method
SetToUniform Method
Symmetric Method
Symmetric Method (Int32, Double)
Symmetric Method (Int32, Double, Sparsity)
Uniform Method
Uniform Method (Int32)
Uniform Method (Int32, Sparsity)
Uniform Method (Int32, Double)
Uniform Method (Int32, Double, Sparsity)
WeightedSum(T) Method
Dirichlet Operators
Division Operator
ExclusiveOr Operator
Multiply Operator
Dirichlet Properties
Dimension Property
IsPointMass Property
Point Property
Sparsity Property
DirichletEstimator Class
DirichletEstimator Members
DirichletEstimator Constructor
DirichletEstimator Fields
N Field
Sum Field
Sum2 Field
DirichletEstimator Methods
Add Method
Add Method (Dirichlet)
Add Method (Vector)
Clear Method
Clone Method
GetDistribution Method
SetTo Method
DirichletEstimator Properties
Dimension Property
Discrete Class
Discrete Members
Discrete Constructor
Discrete Constructor (Double[])
Discrete Constructor (Discrete)
Discrete Constructor (Vector)
Discrete Methods
Clone Method
Evaluate Method
GetAverageLog Method
GetLogAverageOf Method
GetLogNormalizer Method
GetLogProb Method
GetLogProbs Method
GetMean Method
GetMode Method
GetProbs Method
GetProbs Method
GetProbs Method (Vector)
GetVariance Method
GetWorkspace Method
IsUniform Method
MaxDiff Method
PointMass Method
ProbEqual Method
Sample Method
Sample Method
Sample Method (Int32)
Sample Method (Vector)
SetProbs Method
SetTo Method
SetToPower Method
SetToProduct Method
SetToRatio Method
SetToSum Method
SetToUniform Method
Uniform Method
Uniform Method (Int32)
Uniform Method (Int32, Sparsity)
Discrete Operators
Division Operator
ExclusiveOr Operator
Multiply Operator
Discrete Properties
Dimension Property
IsPointMass Property
Item Property
Point Property
Sparsity Property
DiscreteEnum(TEnum) Class
DiscreteEnum(TEnum) Members
DiscreteEnum(TEnum) Constructor
DiscreteEnum(TEnum) Constructor
DiscreteEnum(TEnum) Constructor (Double[])
DiscreteEnum(TEnum) Constructor (Discrete)
DiscreteEnum(TEnum) Constructor (Vector)
DiscreteEnum(TEnum) Methods
ICloneable.Clone Method
CanGetLogProb(T).GetLogProb Method
GetAverageLog Method
GetLogAverageOf Method
PointMass Method
Sample Method
Sample Method
Sample Method (TEnum)
SetTo Method
SetToPower Method
SetToProduct Method
SetToRatio Method
SetToSum Method
ToString Method
Uniform Method
DiscreteEnum(TEnum) Properties
HasPoint(T).Point Property
DiscreteEstimator Class
DiscreteEstimator Members
DiscreteEstimator Constructor
DiscreteEstimator Fields
N Field
NProb Field
DiscreteEstimator Methods
Add Method
Add Method (Int32)
Add Method (Discrete)
Add Method (Discrete, Double)
Clear Method
Clone Method
GetDistribution Method
SetTo Method
DiscreteEstimator Properties
Dimension Property
Distribution Class
Distribution Members
Distribution Methods
ChangeType(TReturn) Method
FromArray Method
GetAverageLog(T, TValue) Method
GetAverageLogLazy(T1, T2) Method
GetDomainType Method
GetLogAverageOf(T1, T2) Method
GetLogAverageOfLazy(T1, T2) Method
GetQualityBand Method
HasDistributionType Method
IsDistributionType Method
LogInnerProduct(T) Method
MakeDistributionArrayType Method
MaxDiff(T, U) Method
PointMass(T) Method
SetPoint(TDist, T) Method
SetTo Method
SetTo(T, TValue) Method (T, TValue)
SetTo(T, TValue, TDomain) Method (T, TValue)
SetToPower(T1, T2) Method
SetToPowerLazy(T1, T2) Method
SetToProduct Method
SetToProduct(T1, T2) Method (T1[], T2[], T2[])
SetToProduct(T1, T2, T3, TDomain) Method (T1[], T2[], T3[])
SetToProductOfAll Method
SetToProductOfAll(T, U) Method (T, IList(U))
SetToProductOfAll(T, U) Method (T, U[])
SetToProductOfAllExcept(T, U) Method
SetToProductWithAll Method
SetToProductWithAll(T, U) Method (T, IList(U))
SetToProductWithAll(T, U, TDomain) Method (T, IList(U))
SetToProductWithAll(T, U) Method (T, U[])
SetToProductWithAllExcept Method
SetToProductWithAllExcept(T, U) Method (T, IList(U), Int32)
SetToProductWithAllExcept(T, U, TDomain) Method (T, IList(U), Int32)
SetToProductWithAllExcept(T, U) Method (T, U[], Int32)
SetToRatio Method
SetToRatio(T1, T2) Method (T1[], T2[], T2[])
SetToRatio(T1, T2, T3, TDomain) Method (T1[], T2[], T3[])
SetToSum(T1, T2) Method
SetToSumLazy(T1, T2) Method
ToArray(ArrayType) Method
Distribution(T) Class
Distribution(T) Members
Distribution(T) Methods
Array Method
Array(Distribution) Method (Distribution[,])
Array(Distribution) Method (Distribution[,][])
Array(Distribution) Method (Distribution[])
Array(Distribution) Method (Distribution[][,])
Array(Distribution) Method (Distribution[][])
Array(Distribution) Method (Distribution[][][])
Array(Distribution) Method (Int32, Func(Int32, Distribution))
Array(Distribution) Method (Int32, Int32, Func(Int32, Int32, Distribution))
Estimator(T) Interface
Estimator(T) Members
Estimator(T) Methods
GetDistribution Method
EstimatorFactory Class
EstimatorFactory Members
EstimatorFactory Methods
CreateEstimator(T, TDomain) Method
EstimatorType Method
RegisterEstimator Method
EstimatorFactory Properties
Instance Property
Evaluator(DistributionType, T) Delegate
Gamma Structure
Gamma Members
Gamma Constructor
Gamma Constructor (Gamma)
Gamma Constructor (Double, Double)
Gamma Fields
Rate Field
Shape Field
Gamma Methods
Clone Method
FromLogMeanAndMeanLog Method
FromMeanAndMeanLog Method
FromMeanAndVariance Method
FromNatural Method
FromShapeAndRate Method
FromShapeAndScale Method
GetAverageLog Method
GetLogAverageOf Method
GetLogNormalizer Method
GetLogProb Method
GetLogProb Method (Double)
GetLogProb Method (Double, Double, Double)
GetMean Method
GetMeanAndVariance Method
GetMeanInverse Method
GetMeanLog Method
GetMeanPower Method
GetScale Method
GetShapeAndScale Method
GetVariance Method
IsProper Method
IsProper Method
IsProper Method (Double, Double)
IsUniform Method
MaxDiff Method
PointMass Method
Sample Method
Sample Method
Sample Method (Double)
Sample Method (Double, Double)
SampleFromMeanAndVariance Method
SetMeanAndVariance Method
SetNatural Method
SetShapeAndRate Method
SetShapeAndScale Method
SetTo Method
SetToPower Method
SetToProduct Method
SetToRatio Method
SetToRatioProper Method
SetToSum Method
SetToUniform Method
Uniform Method
Gamma Operators
Division Operator
Equality Operator
ExclusiveOr Operator
Inequality Operator
Multiply Operator
Gamma Properties
IsPointMass Property
Point Property
GammaEstimator Class
GammaEstimator Members
GammaEstimator Constructor
GammaEstimator Fields
mva Field
GammaEstimator Methods
Add Method
Add Method (Double)
Add Method (Gamma)
Add Method (Double, Double)
Clear Method
Clone Method
GetDistribution Method
SetTo Method
GammaPower Structure
GammaPower Members
GammaPower Constructor
GammaPower Constructor (GammaPower)
GammaPower Constructor (Double, Double, Double)
GammaPower Fields
Power Field
Rate Field
Shape Field
GammaPower Methods
Clone Method
FromMeanAndVariance Method
FromShapeAndRate Method
FromShapeAndScale Method
GetAverageLog Method
GetLogAverageOf Method
GetLogNormalizer Method
GetLogProb Method
GetLogProb Method (Double)
GetLogProb Method (Double, Double, Double, Double)
GetMean Method
GetMeanAndVariance Method
GetMeanLog Method
GetMeanPower Method
GetVariance Method
IsProper Method
IsProper Method
IsProper Method (Double, Double)
IsUniform Method
MaxDiff Method
PointMass Method
Sample Method
Sample Method
Sample Method (Double)
Sample Method (Double, Double, Double)
SampleFromMeanAndVariance Method
SetMeanAndVariance Method
SetShapeAndRate Method
SetShapeAndScale Method
SetTo Method
SetToPower Method
SetToProduct Method
SetToRatio Method
SetToSum Method
SetToUniform Method
Uniform Method
GammaPower Operators
Division Operator
Equality Operator
ExclusiveOr Operator
Inequality Operator
Multiply Operator
GammaPower Properties
IsPointMass Property
Point Property
Gaussian Structure
Gaussian Members
Gaussian Constructor
Gaussian Constructor (Gaussian)
Gaussian Constructor (Double, Double)
Gaussian Fields
MeanTimesPrecision Field
Precision Field
Gaussian Methods
Clone Method
FromMeanAndPrecision Method
FromMeanAndVariance Method
FromNatural Method
GetAverageLog Method
GetLogAverageOf Method
GetLogAverageOfPower Method
GetLogNormalizer Method
GetLogProb Method
GetLogProb Method (Double)
GetLogProb Method (Double, Double, Double)
GetMean Method
GetMeanAndPrecision Method
GetMeanAndVariance Method
GetMeanAndVarianceImproper Method
GetNatural Method
GetVariance Method
IsProper Method
IsUniform Method
MaxDiff Method
PointMass Method
Sample Method
Sample Method
Sample Method (Double)
Sample Method (Double, Double)
SetMeanAndPrecision Method
SetMeanAndVariance Method
SetNatural Method
SetTo Method
SetToPower Method
SetToProduct Method
SetToRatio Method
SetToRatioProper Method
SetToSum Method
SetToUniform Method
Uniform Method
WeightedSum(T) Method
Gaussian Operators
Division Operator
Equality Operator
ExclusiveOr Operator
Inequality Operator
Multiply Operator
Gaussian Properties
IsPointMass Property
Point Property
GaussianEstimator Class
GaussianEstimator Members
GaussianEstimator Constructor
GaussianEstimator Fields
mva Field
GaussianEstimator Methods
Add Method
Add Method (Double)
Add Method (Gaussian)
Add Method (Double, Double)
Add Method (Gaussian, Double)
Clear Method
Clone Method
GetDistribution Method
SetTo Method
GaussianProcess Class
GaussianProcess Members
GaussianProcess Constructor
GaussianProcess Fields
kernel Field
mean Field
GaussianProcess Methods
Covariance Method
Covariance Method (IList(Vector))
Covariance Method (Vector, Vector)
Equals Method
GetHashCode Method
Joint Method
Marginal Method
Mean Method
Mean Method (Vector)
Mean Method (IList(Vector))
Sample Method
Sample Method
Sample Method (IFunction)
ToString Method
Variance Method
HasPoint(T) Interface
HasPoint(T) Members
HasPoint(T) Properties
IsPointMass Property
Point Property
IDistribution(T) Interface
IFunction Interface
IFunction Members
IFunction Methods
Evaluate Method
IGaussianProcess Interface
IGaussianProcess Members
IGaussianProcess Methods
Covariance Method
Covariance Method (IList(Vector))
Covariance Method (Vector, Vector)
Joint Method
Marginal Method
Mean Method
Mean Method (Vector)
Mean Method (IList(Vector))
Variance Method
ImproperDistributionException Class
ImproperDistributionException Members
ImproperDistributionException Constructor
IsDistributionWrapper Interface
LinearSpline Class
LinearSpline Members
LinearSpline Constructor
LinearSpline Methods
Evaluate Method
LinearSpline Properties
KnotIncrem Property
KnotStart Property
YPoints Property
Mixture(T) Class
Mixture(T) Members
Mixture(T) Constructor
Mixture(T) Fields
Components Field
Weights Field
Mixture(T) Methods
Add Method
Add Method (T)
Add Method (T, Double)
Clear Method
GetDistribution Method
Normalize Method
WeightSum Method
Mixture(T, DomainType) Class
Mixture(T, DomainType) Members
Mixture(T, DomainType) Constructor
Mixture(T, DomainType) Methods
GetAverageLog Method
GetLogProb Method
Sample Method
Sample Method
Sample Method (DomainType)
NonconjugateGaussian Structure
NonconjugateGaussian Members
NonconjugateGaussian Constructor
NonconjugateGaussian Constructor (Gaussian)
NonconjugateGaussian Constructor (NonconjugateGaussian)
NonconjugateGaussian Constructor (Double, Double, Double, Double)
NonconjugateGaussian Fields
MeanTimesPrecision Field
Precision Field
Rate Field
Shape Field
NonconjugateGaussian Methods
ICloneable.Clone Method
CanGetLogProb(Double).GetLogProb Method
Diffable.MaxDiff Method
GetAverageLog Method
GetGaussian Method
GetGaussian Method
GetGaussian Method (Boolean)
GetLogAverageOf Method
GetMeanAndVariance Method
IsProper Method
IsUniform Method
Sample Method
Sampleable(Double).Sample Method
Sampleable(Double).Sample Method (Double)
SetTo Method
SetTo Method (Gaussian)
SetTo Method (NonconjugateGaussian)
SetToPower Method
SetToProduct Method
SetToRatio Method
SetToSum Method
SetToUniform Method
ToString Method
Uniform Method
NonconjugateGaussian Operators
Multiply Operator
NonconjugateGaussian Properties
HasPoint(Double).IsPointMass Property
HasPoint(Double).Point Property
PointMass(T) Class
PointMass(T) Members
PointMass(T) Constructor
PointMass(T) Methods
Clone Method
Create Method
GetAverageLog Method
GetLogAverageOf Method
GetLogProb Method
GetMean Method
IsUniform Method
MaxDiff Method
Sample Method
Sample Method
Sample Method (T)
SetTo Method
SetToPower Method
SetToProduct Method
SetToRatio Method
SetToSum Method
SetToUniform Method
ToString Method
PointMass(T) Properties
IsPointMass Property
Point Property
Poisson Structure
Poisson Members
Poisson Constructor
Poisson Constructor (Double)
Poisson Constructor (Poisson)
Poisson Constructor (Double, Double)
Poisson Fields
Precision Field
Rate Field
Poisson Methods
Clone Method
FromMeanAndMeanLogFactorial Method
GetAverageLog Method
GetLogAverageOf Method
GetLogNormalizer Method
GetLogNormalizer Method
GetLogNormalizer Method (Double, Double)
GetLogPowerSum Method
GetLogProb Method
GetMean Method
GetMeanAndVariance Method
GetMeanLogFactorial Method
GetSumLogFactorial Method
GetSumLogFactorial2 Method
GetSumXLogFactorial Method
GetVariance Method
IsProper Method
IsUniform Method
MaxDiff Method
PointMass Method
Sample Method
Sample Method
Sample Method (Double)
Sample Method (Int32)
Sample Method (Double, Double)
SetMeanAndVariance Method
SetTo Method
SetToPower Method
SetToProduct Method
SetToRatio Method
SetToSum Method
SetToUniform Method
Uniform Method
Poisson Operators
Division Operator
Equality Operator
ExclusiveOr Operator
Inequality Operator
Multiply Operator
Poisson Properties
IsPointMass Property
Point Property
PoissonEstimator Class
PoissonEstimator Members
PoissonEstimator Constructor
PoissonEstimator Methods
Add Method
Add Method (Double)
Add Method (Poisson)
Clear Method
Clone Method
GetDistribution Method
SetTo Method
Rank1Pot Class
Rank1Pot Members
Rank1Pot Constructor
Rank1Pot Fields
LambdaInv Field
Xi Field
Yi Field
Rank1Pot Methods
ClearCachedValues Method
K_B_x Method
K_x_x Method
P Method
Sampleable(T) Interface
Sampleable(T) Members
Sampleable(T) Methods
Sample Method
Sample Method
Sample Method (T)
SampleList(T) Class
SampleList(T) Members
SampleList(T) Constructor
SampleList(T) Methods
Add Method
Clear Method
SampleList(T) Properties
Samples Property
Sampler(T) Delegate
Sampler(DistributionType, T) Delegate
SettableToUniform Interface
SettableToUniform Members
SettableToUniform Methods
IsUniform Method
SetToUniform Method
SparseBernoulliList Class
SparseBernoulliList Members
SparseBernoulliList Constructor
SparseBernoulliList Constructor (Int32)
SparseBernoulliList Constructor (Vector)
SparseBernoulliList Constructor (Int32, Double)
SparseBernoulliList Fields
DefaultSparsity Field
SparseBernoulliList Methods
Clone Method
GetAverageLog Method
GetLogAverageOf Method
GetLogProb Method
Sample Method
Sample Method
Sample Method (IList(Boolean))
Sample Method (SparseVector)
SetTo Method
SetToPower Method
SetToProduct Method
SetToRatio Method
SetToSum Method
ToArray Method
ToString Method
SparseBernoulliList Properties
Point Property
SparseBernoulliListBase Class
SparseBernoulliListBase Members
SparseBernoulliListBase Constructor
SparseBernoulliListBase Methods
GetLogProbFalseVector Method
GetLogProbTrueVector Method
GetProbFalse Method
GetProbTrue Method
GetProbTrueVector Method
IsUniform Method
MaxDiff Method
SetProbFalse Method
SetProbTrue Method
SetProbTrueVector Method
SetToUniform Method
SparseBernoulliListBase Properties
Count Property
IsPointMass Property
Item Property
LogOddsVector Property
SparseBetaList Class
SparseBetaList Members
SparseBetaList Constructor
SparseBetaList Constructor (Int32)
SparseBetaList Constructor (Vector, Vector)
SparseBetaList Constructor (Int32, Double, Double)
SparseBetaList Fields
DefaultSparsity Field
SparseBetaList Methods
Clone Method
GetAverageLog Method
GetLogAverageOf Method
GetLogProb Method
GetMean Method
GetMeanLog Method
GetMeanLogOneMinus Method
IsUniform Method
MaxDiff Method
PointMass Method
Sample Method
Sample Method
Sample Method (SparseVector)
SetTo Method
SetToPower Method
SetToProduct Method
SetToRatio Method
SetToSum Method
SetToUniform Method
ToArray Method
ToString Method
SparseBetaList Properties
Count Property
FalseCounts Property
IsPointMass Property
Item Property
Point Property
TrueCounts Property
SparseGammaList Class
SparseGammaList Members
SparseGammaList Constructor
SparseGammaList Constructor
SparseGammaList Constructor (Double)
SparseGammaList Fields
DefaultTolerance Field
SparseGammaList Methods
Clone Method
FromGamma Method
FromGamma Method (Int32, Gamma)
FromGamma Method (Int32, Gamma, Double)
FromLogMeanAndMeanLog Method
FromLogMeanAndMeanLog Method (Int32, Double, Double)
FromLogMeanAndMeanLog Method (Int32, Double, Double, Double)
FromMeanAndMeanLog Method
FromMeanAndMeanLog Method (Int32, Double, Double)
FromMeanAndMeanLog Method (Int32, Double, Double, Double)
FromMeanAndVariance Method
FromMeanAndVariance Method (Int32, Double, Double)
FromMeanAndVariance Method (Int32, Double, Double, Double)
FromNatural Method
FromNatural Method (Int32, Double, Double)
FromNatural Method (Int32, Double, Double, Double)
FromShapeAndRate Method
FromShapeAndRate Method (Vector, Vector)
FromShapeAndRate Method (Int32, Double, Double)
FromShapeAndRate Method (Vector, Vector, Double)
FromShapeAndRate Method (Int32, Double, Double, Double)
FromShapeAndScale Method
FromShapeAndScale Method (SparseVector, SparseVector)
FromShapeAndScale Method (Int32, Double, Double)
FromShapeAndScale Method (SparseVector, SparseVector, Double)
FromShapeAndScale Method (Int32, Double, Double, Double)
FromSize Method
FromSize Method (Int32)
FromSize Method (Int32, Double)
FromSparseValues Method
FromSparseValues Method (Int32, Gamma, List(SparseElement(Gamma)))
FromSparseValues Method (Int32, Gamma, List(SparseElement(Gamma)), Double)
GetAverageLog Method
GetLogAverageOf Method
GetLogProb Method
IsUniform Method
MaxDiff Method
Sample Method
Sample Method
Sample Method (SparseVector)
Sample Method (SparseVector, SparseVector)
SetTo Method
SetToPower Method
SetToProduct Method
SetToRatio Method
SetToSum Method
SetToUniform Method
SparseGammaList Properties
Dimension Property
IsPointMass Property
Point Property
SparseGaussianList Class
SparseGaussianList Members
SparseGaussianList Constructor
SparseGaussianList Constructor
SparseGaussianList Constructor (Double)
SparseGaussianList Fields
DefaultTolerance Field
SparseGaussianList Methods
Clone Method
FromGaussian Method
FromGaussian Method (Int32, Gaussian)
FromGaussian Method (Int32, Gaussian, Double)
FromMeanAndPrecision Method
FromMeanAndPrecision Method (IList(Double), IList(Double))
FromMeanAndPrecision Method (IList(Double), IList(Double), Double)
FromMeanAndPrecision Method (Int32, Double, Double)
FromMeanAndPrecision Method (Int32, Double, Double, Double)
FromMeanAndVariance Method
FromMeanAndVariance Method (Int32, Double, Double)
FromMeanAndVariance Method (Int32, Double, Double, Double)
FromNatural Method
FromNatural Method (Int32, Double, Double)
FromNatural Method (Int32, Double, Double, Double)
FromSize Method
FromSize Method (Int32)
FromSize Method (Int32, Double)
FromSparseValues Method
FromSparseValues Method (Int32, Gaussian, List(SparseElement(Gaussian)))
FromSparseValues Method (Int32, Gaussian, List(SparseElement(Gaussian)), Double)
GetAverageLog Method
GetLogAverageOf Method
GetLogProb Method
IsUniform Method
MaxDiff Method
Sample Method
Sample Method
Sample Method (IList(Double))
Sample Method (IList(Double), IList(Double))
SetTo Method
SetToPower Method
SetToProduct Method
SetToRatio Method
SetToSum Method
SetToUniform Method
SparseGaussianList Properties
Dimension Property
IsPointMass Property
Point Property
SparseGP Class
SparseGP Members
SparseGP Constructor
SparseGP Constructor (SparseGP)
SparseGP Constructor (SparseGPFixed)
SparseGP Constructor (SparseGPFixed, Boolean)
SparseGP Constructor (SparseGPFixed, Boolean, VectorGaussian, IFunction)
SparseGP Fields
IncludePrior Field
InducingDist Field
SparseGP Methods
ClearCachedValues Method
Clone Method
Covariance Method
Covariance Method (IList(Vector))
Covariance Method (Vector, Vector)
Equals Method
EvaluateMean Method
GetAverageLog Method
GetHashCode Method
GetLogAverageOf Method
GetLogProb Method
GetMean Method
IsUniform Method
Joint Method
Marginal Method
MaxDiff Method
Mean Method
Mean Method (Vector)
Mean Method (IList(Vector))
PointMass Method
Sample Method
Sample Method
Sample Method (IFunction)
SetTo Method
SetToPower Method
SetToProduct Method
SetToRatio Method
SetToSum Method
SetToUniform Method
Uniform Method
Variance Method
SparseGP Operators
Division Operator
Multiply Operator
SparseGP Properties
Alpha Property
Beta Property
FixedParameters Property
IsPointMass Property
Mean_B Property
Point Property
Var_B_B Property
SparseGPFixed Class
SparseGPFixed Members
SparseGPFixed Constructor
SparseGPFixed Constructor (IGaussianProcess, IList(Vector))
SparseGPFixed Constructor (IKernelFunction, IList(Vector))
SparseGPFixed Methods
ClearCachedValues Method
KernelOf_X_B Method
KernelOf_X_B Method (Vector)
KernelOf_X_B Method (IList(Vector))
ToString Method
SparseGPFixed Properties
Basis Property
InvKernelOf_B_B Property
KernelOf_B_B Property
NumberBasisPoints Property
NumberFeatures Property
Prior Property
TruncatedGaussian Structure
TruncatedGaussian Members
TruncatedGaussian Constructor
TruncatedGaussian Constructor (Gaussian)
TruncatedGaussian Constructor (TruncatedGaussian)
TruncatedGaussian Constructor (Gaussian, Double, Double)
TruncatedGaussian Constructor (Double, Double, Double, Double)
TruncatedGaussian Fields
Gaussian Field
LowerBound Field
UpperBound Field
TruncatedGaussian Methods
Clone Method
FromGaussian Method
GetAverageLog Method
GetLogAverageOf Method
GetLogNormalizer Method
GetLogProb Method
GetMean Method
GetMeanAndVariance Method
GetVariance Method
IsProper Method
IsUniform Method
MaxDiff Method
PointMass Method
Sample Method
Sample Method
Sample Method (Double)
Sample Method (Double, Double, Double, Double)
SetTo Method
SetToPower Method
SetToProduct Method
SetToRatio Method
SetToSum Method
SetToUniform Method
ToGaussian Method
Uniform Method
TruncatedGaussian Operators
Division Operator
Equality Operator
ExclusiveOr Operator
Inequality Operator
Multiply Operator
TruncatedGaussian Properties
IsPointMass Property
Point Property
TruncatedGaussianEstimator Class
TruncatedGaussianEstimator Members
TruncatedGaussianEstimator Constructor
TruncatedGaussianEstimator Fields
maxUpperBound Field
minLowerBound Field
mva Field
TruncatedGaussianEstimator Methods
Add Method
Clear Method
Clone Method
GetDistribution Method
SetTo Method
UnnormalizedDiscrete Class
UnnormalizedDiscrete Members
UnnormalizedDiscrete Constructor
UnnormalizedDiscrete Methods
Clone Method
Evaluate Method
FromDiscrete Method
FromLogProbs Method
GetAverageLog Method
GetLogAverageOf Method
GetLogProb Method
GetProbs Method
GetWorkspace Method
IsUniform Method
MaxDiff Method
Sample Method
Sample Method
Sample Method (Int32)
SetLogProbs Method
SetMaxToZero Method
SetTo Method
SetToPower Method
SetToProduct Method
SetToRatio Method
SetToSum Method
SetToUniform Method
ToDiscrete Method
Uniform Method
UnnormalizedDiscrete Operators
Division Operator
ExclusiveOr Operator
Multiply Operator
UnnormalizedDiscrete Properties
Dimension Property
IsPointMass Property
Point Property
VectorGaussian Class
VectorGaussian Members
VectorGaussian Constructor
VectorGaussian Constructor (Int32)
VectorGaussian Constructor (VectorGaussian)
VectorGaussian Constructor (Double, Double)
VectorGaussian Constructor (Vector, PositiveDefiniteMatrix)
VectorGaussian Methods
Clone Method
Copy Method
FromCursors Method
FromMeanAndPrecision Method
FromMeanAndPrecision Method (Double, Double)
FromMeanAndPrecision Method (Vector, PositiveDefiniteMatrix)
FromMeanAndVariance Method
FromMeanAndVariance Method (Double, Double)
FromMeanAndVariance Method (Vector, PositiveDefiniteMatrix)
FromNatural Method
GetAverageLog Method
GetLogAverageOf Method
GetLogNormalizer Method
GetLogProb Method
GetLogProb Method (Vector)
GetLogProb Method (Vector, LowerTriangularMatrix, Vector)
GetLogProb Method (Vector, Vector, PositiveDefiniteMatrix)
GetLogProb Method (Vector, Vector, PositiveDefiniteMatrix, LowerTriangularMatrix, Vector)
GetLogProbPrep Method
GetMarginal Method
GetMarginal Method (Int32)
GetMarginal Method (Int32, VectorGaussian)
GetMean Method
GetMean Method
GetMean Method (Vector)
GetMean Method (Vector, PositiveDefiniteMatrix)
GetMeanAndPrecision Method
GetMeanAndVariance Method
GetVariance Method
GetVariance Method
GetVariance Method (PositiveDefiniteMatrix)
IsProper Method
IsUniform Method
MaxDiff Method
PointMass Method
PointMass Method (Double)
PointMass Method (Vector)
Sample Method
Sample Method
Sample Method (Vector)
Sample Method (Vector, LowerTriangularMatrix)
Sample Method (Vector, PositiveDefiniteMatrix)
SampleFromMeanAndVariance Method
SamplePrep Method
SetMeanAndPrecision Method
SetMeanAndVariance Method
SetNatural Method
SetTo Method
SetToPower Method
SetToProduct Method
SetToRatio Method
SetToSum Method
SetToUniform Method
Uniform Method
WeightedSum(T) Method
VectorGaussian Operators
Division Operator
ExclusiveOr Operator
Multiply Operator
VectorGaussian Properties
Dimension Property
IsPointMass Property
MeanTimesPrecision Property
Point Property
Precision Property
VectorGaussianEstimator Class
VectorGaussianEstimator Members
VectorGaussianEstimator Constructor
VectorGaussianEstimator Methods
Add Method
Add Method (Vector)
Add Method (VectorGaussian)
Add Method (Vector, Double)
Add Method (VectorGaussian, Double)
Clear Method
Clone Method
GetDistribution Method
SetTo Method
VectorGaussianEstimator Properties
Dimension Property
Wishart Class
Wishart Members
Wishart Constructor
Wishart Constructor (Int32)
Wishart Constructor (Double, PositiveDefiniteMatrix)
Wishart Constructor (Double, Double)
Wishart Constructor (Int32, Double, Double)
Wishart Methods
Clone Method
FromShapeAndRate Method
FromShapeAndRate Method (Double, PositiveDefiniteMatrix)
FromShapeAndRate Method (Int32, Double, Double)
FromShapeAndScale Method
FromShapeAndScale Method (Double, PositiveDefiniteMatrix)
FromShapeAndScale Method (Int32, Double, Double)
GetAverageLog Method
GetLogAverageOf Method
GetLogNormalizer Method
GetLogNormalizer Method
GetLogNormalizer Method (Double, PositiveDefiniteMatrix)
GetLogProb Method
GetLogProb Method (PositiveDefiniteMatrix)
GetLogProb Method (PositiveDefiniteMatrix, Double, PositiveDefiniteMatrix)
GetMean Method
GetMean Method
GetMean Method (PositiveDefiniteMatrix)
GetMeanAndVariance Method
GetMeanLogDeterminant Method
GetScale Method
GetVariance Method
GetVariance Method
GetVariance Method (PositiveDefiniteMatrix)
IsProper Method
IsProper Method
IsProper Method (Double, PositiveDefiniteMatrix)
IsUniform Method
MaxDiff Method
PointMass Method
PointMass Method (Double)
PointMass Method (PositiveDefiniteMatrix)
Sample Method
Sample Method
Sample Method (PositiveDefiniteMatrix)
Sample Method (Double, PositiveDefiniteMatrix, PositiveDefiniteMatrix)
Sample Method (PositiveDefiniteMatrix, LowerTriangularMatrix, LowerTriangularMatrix, Matrix)
SampleFromShapeAndScale Method
SetMeanAndVariance Method
SetShapeAndRate Method
SetShapeAndScale Method
SetTo Method
SetToPower Method
SetToProduct Method
SetToRatio Method
SetToSum Method
SetToUniform Method
Uniform Method
WeightedSum(T) Method
Wishart Operators
Division Operator
ExclusiveOr Operator
Multiply Operator
Wishart Properties
Dimension Property
IsPointMass Property
Point Property
Rate Property
Shape Property
SourceArray Property
WishartEstimator Class
WishartEstimator Members
WishartEstimator Constructor
WishartEstimator Fields
mva Field
WishartEstimator Methods
Add Method
Add Method (PositiveDefiniteMatrix)
Add Method (Wishart)
Clear Method
Clone Method
GetDistribution Method
SetTo Method
WishartEstimator Properties
Dimension Property
WrappedGaussian Structure
WrappedGaussian Members
WrappedGaussian Constructor
WrappedGaussian Constructor (Gaussian, Double)
WrappedGaussian Constructor (Double, Double, Double)
WrappedGaussian Fields
Gaussian Field
Period Field
WrappedGaussian Methods
Clone Method
Equals Method
GetAverageLog Method
GetHashCode Method
GetLogAverageOf Method
GetLogProb Method
IsUniform Method
MaxDiff Method
Mod Method
Mod Method (Double)
Mod Method (Double, Double)
Normalize Method
PointMass Method
Sample Method
Sample Method
Sample Method (Double)
SetTo Method
SetToPower Method
SetToProduct Method
SetToRatio Method
SetToSum Method
SetToUniform Method
ToString Method
Uniform Method
WrappedGaussian Operators
Equality Operator
Inequality Operator
Multiply Operator
WrappedGaussian Properties
IsPointMass Property
Point Property
MicrosoftResearch.Infer.Distributions.Kernels Namespace
ARD Class
ARD Members
ARD Constructor
ARD Constructor
ARD Constructor (Double[], Double)
ARD Methods
EvaluateX Method
EvaluateX1X2 Method
InitialiseFromData Method
Read Method
SetupParams Method
ARD Properties
Item Property
TypeVersion Property
IKernelFunction Interface
IKernelFunction Members
IKernelFunction Methods
EvaluateX Method
EvaluateX1X2 Method
IKernelFunctionWithParams Interface
IKernelFunctionWithParams Members
IKernelFunctionWithParams Methods
EvaluateX Method
EvaluateX Method (Vector, Vector)
EvaluateX Method (Vector, Vector, Vector)
EvaluateX1X2 Method
EvaluateX1X2 Method (Vector, Vector, Vector)
EvaluateX1X2 Method (Vector, Vector, Vector, Vector)
IndexToName Method
NameToIndex Method
Read Method
Write Method
IKernelFunctionWithParams Properties
Item Property
Item Property (Int32)
Item Property (String)
ThetaCount Property
TypeVersion Property
KernelFactory Class
KernelFactory Members
KernelFactory Methods
CreateKernelFunction Method
RegisterKernelFunction Method
KernelFactory Properties
Instance Property
KernelFunction Class
KernelFunction Members
KernelFunction Methods
Cholesky Method
EvaluateX Method
EvaluateX Method (Vector)
EvaluateX Method (Vector, Vector)
EvaluateX Method (Vector, Vector, Vector)
EvaluateX1X2 Method
EvaluateX1X2 Method (Vector, Vector)
EvaluateX1X2 Method (Vector, Vector, Vector)
EvaluateX1X2 Method (Vector, Vector, Vector, Vector)
IndexToName Method
NameToIndex Method
Read Method
Write Method
KernelFunction Properties
HyperNames Property
Item Property
Item Property (Int32)
Item Property (String)
ThetaCount Property
TypeVersion Property
LinearKernel Class
LinearKernel Members
LinearKernel Constructor
LinearKernel Constructor
LinearKernel Constructor (Double[])
LinearKernel Methods
EvaluateX Method
EvaluateX1X2 Method
InitialiseFromData Method
Read Method
SetupParams Method
LinearKernel Properties
Item Property
TypeVersion Property
NNKernel Class
NNKernel Members
NNKernel Constructor
NNKernel Constructor
NNKernel Constructor (Double[], Double)
NNKernel Methods
EvaluateX Method
EvaluateX1X2 Method
GetLogBiasWeightVariance Method
GetLogWeightVariances Method
InitialiseFromData Method
Read Method
SetupParams Method
ToString Method
NNKernel Properties
Item Property
TypeVersion Property
SquaredExponential Class
SquaredExponential Members
SquaredExponential Constructor
SquaredExponential Constructor
SquaredExponential Constructor (Double)
SquaredExponential Constructor (Double, Double)
SquaredExponential Methods
EvaluateX Method
EvaluateX1X2 Method
ToString Method
SquaredExponential Properties
Item Property
LogLengthScale Property
LogSignalSD Property
TypeVersion Property
SummationKernel Class
SummationKernel Members
SummationKernel Constructor
SummationKernel Constructor
SummationKernel Constructor (IKernelFunctionWithParams)
SummationKernel Methods
EvaluateX Method
EvaluateX1X2 Method
Read Method
ToString Method
Write Method
SummationKernel Operators
Addition Operator
SummationKernel Properties
Item Property
Item Property (Int32)
Item Property (String)
Kernels Property
ThetaCount Property
TypeVersion Property
WhiteNoise Class
WhiteNoise Members
WhiteNoise Constructor
WhiteNoise Constructor
WhiteNoise Constructor (Double)
WhiteNoise Methods
EvaluateX Method
EvaluateX1X2 Method
ToString Method
WhiteNoise Properties
Item Property
TypeVersion Property
MicrosoftResearch.Infer.Factors Namespace
AdaptiveSoftmaxOp_NCVMP_Sparse Class
AdaptiveSoftmaxOp_NCVMP_Sparse Members
AdaptiveSoftmaxOp_NCVMP_Sparse Methods
Abouchard(GaussianList) Method
AbouchardInit Method
Asj Method
AsjInit Method
LogAverageFactor(GaussianList) Method
SoftmaxAverageLogarithm(GaussianList) Method
XAverageLogarithm(GaussianList) Method
AllExceptIndexAttribute Class
AllExceptIndexAttribute Members
AllExceptIndexAttribute Constructor
AllTrueOp Class
AllTrueOp Members
AllTrueOp Methods
AllTrueAverageConditional Method
AllTrueAverageConditional Method (IList(Boolean))
AllTrueAverageConditional Method (IList(Bernoulli))
AllTrueAverageLogarithm Method
ArrayAverageConditional Method
ArrayAverageConditional(BernoulliList) Method (Boolean, IList(Bernoulli), BernoulliList)
ArrayAverageConditional(BernoulliList) Method (Bernoulli, IList(Bernoulli), BernoulliList)
ArrayAverageConditional(BernoulliList) Method (Bernoulli, IList(Boolean), BernoulliList)
ArrayAverageLogarithm Method
ArrayAverageLogarithm(BernoulliList) Method (Boolean, IList(Bernoulli), BernoulliList)
ArrayAverageLogarithm(BernoulliList) Method (Bernoulli, IList(Bernoulli), BernoulliList)
AverageLogFactor Method
AverageLogFactor Method
AverageLogFactor Method (Boolean, IList(Boolean))
LogAverageFactor Method
LogAverageFactor Method (Boolean, IList(Bernoulli))
LogAverageFactor Method (Boolean, IList(Boolean))
LogAverageFactor Method (Bernoulli, Bernoulli)
LogEvidenceRatio Method
LogEvidenceRatio Method (Bernoulli)
LogEvidenceRatio Method (Boolean, IList(Bernoulli))
LogEvidenceRatio Method (Boolean, IList(Boolean))
ArrayFromVectorOp Class
ArrayFromVectorOp Members
ArrayFromVectorOp Methods
ArrayAverageConditional(GaussianList) Method
ArrayAverageConditionalInit Method
ArrayAverageLogarithm(GaussianList) Method
AverageLogFactor Method
AverageLogFactor Method (Double[], VectorGaussian)
AverageLogFactor Method (Double[], Vector)
AverageLogFactor Method (IList(Gaussian), VectorGaussian)
AverageLogFactor Method (IList(Gaussian), Vector)
LogAverageFactor Method
LogAverageFactor Method (Double[], VectorGaussian)
LogAverageFactor Method (Double[], Vector)
LogAverageFactor Method (IList(Gaussian), VectorGaussian, VectorGaussian)
LogEvidenceRatio Method
LogEvidenceRatio Method (Double[], VectorGaussian)
LogEvidenceRatio Method (Double[], Vector)
LogEvidenceRatio Method (IList(Gaussian), VectorGaussian, VectorGaussian, IList(Gaussian))
VectorAverageConditional Method
VectorAverageConditional Method (Double[], VectorGaussian)
VectorAverageConditional Method (IList(Gaussian), VectorGaussian)
VectorAverageLogarithm Method
VectorAverageLogarithm Method (Double[], VectorGaussian)
VectorAverageLogarithm Method (IList(Gaussian), VectorGaussian)
BernoulliFromBetaOp Class
BernoulliFromBetaOp Members
BernoulliFromBetaOp Methods
AverageLogFactor Method
AverageLogFactor Method (Boolean, Beta)
AverageLogFactor Method (Boolean, Double)
AverageLogFactor Method (Bernoulli, Beta)
AverageLogFactor Method (Bernoulli, Double)
LogAverageFactor Method
LogAverageFactor Method (Boolean, Beta)
LogAverageFactor Method (Boolean, Double)
LogAverageFactor Method (Bernoulli, Bernoulli)
LogEvidenceRatio Method
LogEvidenceRatio Method (Boolean, Beta)
LogEvidenceRatio Method (Boolean, Double)
LogEvidenceRatio Method (Bernoulli, Beta)
LogEvidenceRatio Method (Bernoulli, Double)
ProbTrueAverageConditional Method
ProbTrueAverageConditional Method (Boolean)
ProbTrueAverageConditional Method (Bernoulli, Beta)
ProbTrueAverageLogarithm Method
ProbTrueAverageLogarithm Method (Boolean)
ProbTrueAverageLogarithm Method (Bernoulli)
ProbTrueConditional Method
SampleAverageConditional Method
SampleAverageConditional Method (Double)
SampleAverageConditional Method (Beta)
SampleAverageLogarithm Method
SampleAverageLogarithm Method (Double)
SampleAverageLogarithm Method (Beta)
SampleConditional Method
BernoulliFromBooleanArray Class
BernoulliFromBooleanArray Members
BernoulliFromBooleanArray Methods
ChoiceAverageConditional Method
ChoiceAverageLogarithm Method
SampleAverageConditional Method
SampleAverageConditional Method (Boolean, Double[])
SampleAverageConditional Method (Bernoulli, Double[])
SampleAverageLogarithm Method
BernoulliFromLogOddsOp Class
BernoulliFromLogOddsOp Members
BernoulliFromLogOddsOp Methods
AverageLogFactor Method
AverageLogFactor Method (Boolean, Gaussian)
AverageLogFactor Method (Boolean, Double)
AverageLogFactor Method (Bernoulli, Gaussian)
AverageLogFactor Method (Bernoulli, Double)
LogAverageFactor Method
LogAverageFactor Method (Boolean, Gaussian)
LogAverageFactor Method (Boolean, Double)
LogEvidenceRatio Method
LogEvidenceRatio Method (Bernoulli)
LogEvidenceRatio Method (Boolean, Gaussian)
LogEvidenceRatio Method (Boolean, Double)
LogOddsAverageConditional Method
LogOddsAverageConditional Method (Boolean, Gaussian)
LogOddsAverageConditional Method (Bernoulli, Gaussian)
LogOddsAverageLogarithm Method
LogOddsAverageLogarithm Method (Boolean, Gaussian, Gaussian)
LogOddsAverageLogarithm Method (Bernoulli, Gaussian, Gaussian)
SampleAverageConditional Method
SampleAverageLogarithm Method
SampleAverageLogarithm Method (Double)
SampleAverageLogarithm Method (Gaussian)
BernoulliFromLogOddsOp_JJ96 Class
BernoulliFromLogOddsOp_JJ96 Members
BernoulliFromLogOddsOp_JJ96 Methods
AverageLogFactor Method
AverageLogFactor Method (Boolean, Gaussian)
AverageLogFactor Method (Bernoulli, Gaussian)
LogOddsAverageLogarithm Method
LogOddsAverageLogarithm Method (Boolean, Gaussian)
LogOddsAverageLogarithm Method (Bernoulli, Gaussian)
BernoulliFromLogOddsOp_SJ99 Class
BernoulliFromLogOddsOp_SJ99 Members
BernoulliFromLogOddsOp_SJ99 Methods
AverageLogFactor Method
LogOddsAverageLogarithm Method
BernoulliIntegerSubsetFromBeta Class
BernoulliIntegerSubsetFromBeta Members
BernoulliIntegerSubsetFromBeta Constructor
BernoulliIntegerSubsetFromBeta Methods
AverageLogFactor Method
AverageLogFactor Method (IList(Int32), SparseVector)
AverageLogFactor Method (IList(Int32), SparseBetaList, Double, SparseVector)
AverageLogFactor Method (BernoulliIntegerSubset, SparseBetaList, SparseVector, SparseVector)
AverageLogFactor Method (BernoulliIntegerSubset, SparseVector, SparseVector, SparseVector)
MeanLogMinusMeanLogOneMinus Method
MeanLogOneMinus Method
ProbsTrueAverageLogarithm Method
ProbsTrueAverageLogarithm Method (BernoulliIntegerSubset)
ProbsTrueAverageLogarithm Method (IList(Int32), SparseBetaList)
SampleAverageLogarithm Method
SampleAverageLogarithm Method (SparseBetaList)
SampleAverageLogarithm Method (SparseVector)
SumMeanLogOneMinus Method
BetaFromMeanAndVarianceOp Class
BetaFromMeanAndVarianceOp Members
BetaFromMeanAndVarianceOp Methods
AverageLogFactor Method
AverageLogFactor Method (Double, Double, Double)
AverageLogFactor Method (Beta, Double, Double, Beta)
LogAverageFactor Method
LogAverageFactor Method (Double, Double, Double)
LogAverageFactor Method (Beta, Double, Double, Beta)
LogEvidenceRatio Method
LogEvidenceRatio Method (Double, Double, Double)
LogEvidenceRatio Method (Beta, Double, Double)
SampleAverageConditional Method
SampleAverageLogarithm Method
BetaFromTrueAndFalseCountsOp Class
BetaFromTrueAndFalseCountsOp Members
BetaFromTrueAndFalseCountsOp Methods
AverageLogFactor Method
AverageLogFactor Method (Double, Double, Double)
AverageLogFactor Method (Beta, Double, Double, Beta)
LogAverageFactor Method
LogAverageFactor Method (Double, Double, Double)
LogAverageFactor Method (Beta, Double, Double, Beta)
LogEvidenceRatio Method
LogEvidenceRatio Method (Double, Double, Double)
LogEvidenceRatio Method (Beta, Double, Double)
SampleAverageConditional Method
SampleAverageLogarithm Method
BetaOp Class
BetaOp Members
BetaOp Fields
damping Field
BetaOp Methods
AverageLogFactor Method
LogAverageFactor Method
LogAverageFactor Method (Double, Double, Double)
LogAverageFactor Method (Beta, Double, Double)
MeanAveragConditional Method
MeanAverageConditional Method
MeanAverageConditional Method (Beta, Gamma, Beta, Beta)
MeanAverageConditional Method (Beta, Double, Beta, Beta)
MeanAverageConditional Method (Beta, Double, Double, Beta)
MeanAverageLogarithm Method
MeanAverageLogarithm Method (Beta, Gamma, Beta, Beta)
MeanAverageLogarithm Method (Beta, Gamma, Double, Beta)
MeanAverageLogarithm Method (Beta, Double, Beta, Beta)
MeanAverageLogarithm Method (Beta, Double, Double, Beta)
ProbAverageConditional Method
ProbAverageConditional Method (Double, Gamma)
ProbAverageConditional Method (Double, Double)
ProbAverageConditional Method (Beta, Gamma)
ProbAverageConditional Method (Beta, Double)
ProbAverageLogarithm Method
ProbAverageLogarithm Method (Double, Gamma)
ProbAverageLogarithm Method (Beta, Gamma)
ProbAverageLogarithm Method (Beta, Double)
TotalCountAverageConditional Method
TotalCountAverageConditional Method (Beta, Gamma, Beta, Gamma)
TotalCountAverageConditional Method (Beta, Gamma, Double, Gamma)
TotalCountAverageLogarithm Method
TotalCountAverageLogarithm Method (Beta, Gamma, Beta, Gamma)
TotalCountAverageLogarithm Method (Beta, Gamma, Double, Gamma)
BinomialOp Class
BinomialOp Members
BinomialOp Methods
AverageLogFactor Method
AverageLogFactor Method (Int32, Beta, Int32)
AverageLogFactor Method (Int32, Double, Int32)
LogAverageFactor Method
LogAverageFactor Method (Discrete, Discrete)
LogAverageFactor Method (Int32, Beta, Discrete)
LogAverageFactor Method (Int32, Beta, Int32)
LogAverageFactor Method (Int32, Double, Discrete)
LogAverageFactor Method (Int32, Double, Int32)
LogEvidenceRatio Method
LogEvidenceRatio Method (Discrete)
LogEvidenceRatio Method (Int32, Double, Discrete)
LogEvidenceRatio Method (Int32, Double, Int32)
PAverageConditional Method
PAverageLogarithm Method
PAverageLogarithm Method (Int32, Discrete)
PAverageLogarithm Method (Int32, Int32)
PAverageLogarithm Method (Discrete, Discrete)
PAverageLogarithm Method (Discrete, Int32)
SampleAverageConditional Method
SampleAverageConditional Method (Double, Discrete, Discrete)
SampleAverageConditional Method (Double, Int32, Discrete)
SampleAverageConditional Method (Beta, Discrete, Discrete)
SampleAverageConditional Method (Beta, Int32, Discrete)
SampleAverageConditionalInit Method
SampleAverageConditionalInit Method (Int32)
SampleAverageConditionalInit Method (Discrete)
TrialCountAverageConditional Method
TrialCountAverageConditional Method (Int32, Beta, Discrete)
TrialCountAverageConditional Method (Int32, Double, Discrete)
TrialCountAverageConditional Method (Discrete, Beta, Discrete)
TrialCountAverageConditional Method (Discrete, Double, Discrete)
Blei06SoftmaxOp Class
Blei06SoftmaxOp Members
Blei06SoftmaxOp Methods
AverageLogFactor(GaussianList) Method
SoftmaxAverageLogarithm(GaussianList) Method
XAverageLogarithm(GaussianList) Method
Blei06SoftmaxOp_NCVMP Class
Blei06SoftmaxOp_NCVMP Members
Blei06SoftmaxOp_NCVMP Methods
AverageLogFactor(GaussianList) Method
SoftmaxAverageLogarithm(GaussianList) Method
XAverageLogarithm(GaussianList) Method
BooleanAndOp Class
BooleanAndOp Members
BooleanAndOp Methods
AAverageConditional Method
AAverageConditional Method (Boolean, Bernoulli)
AAverageConditional Method (Boolean, Boolean)
AAverageConditional Method (Bernoulli, Bernoulli)
AAverageConditional Method (Bernoulli, Boolean)
AAverageLogarithm Method
AAverageLogarithm Method (Boolean, Bernoulli)
AAverageLogarithm Method (Boolean, Boolean)
AAverageLogarithm Method (Bernoulli, Bernoulli)
AAverageLogarithm Method (Bernoulli, Boolean)
AndAverageConditional Method
AndAverageConditional Method (Boolean, Bernoulli)
AndAverageConditional Method (Bernoulli, Bernoulli)
AndAverageConditional Method (Bernoulli, Boolean)
AndAverageLogarithm Method
AndAverageLogarithm Method (Boolean, Bernoulli)
AndAverageLogarithm Method (Bernoulli, Bernoulli)
AndAverageLogarithm Method (Bernoulli, Boolean)
AverageLogFactor Method
AverageLogFactor Method
AverageLogFactor Method (Boolean, Boolean, Boolean)
BAverageConditional Method
BAverageConditional Method (Boolean, Bernoulli)
BAverageConditional Method (Boolean, Boolean)
BAverageConditional Method (Bernoulli, Bernoulli)
BAverageConditional Method (Bernoulli, Boolean)
BAverageLogarithm Method
BAverageLogarithm Method (Boolean, Bernoulli)
BAverageLogarithm Method (Boolean, Boolean)
BAverageLogarithm Method (Bernoulli, Bernoulli)
BAverageLogarithm Method (Bernoulli, Boolean)
LogAverageFactor Method
LogAverageFactor Method (Boolean, Bernoulli, Bernoulli)
LogAverageFactor Method (Boolean, Bernoulli, Boolean)
LogAverageFactor Method (Boolean, Boolean, Bernoulli)
LogAverageFactor Method (Boolean, Boolean, Boolean)
LogAverageFactor Method (Bernoulli, Bernoulli, Bernoulli)
LogAverageFactor Method (Bernoulli, Bernoulli, Boolean)
LogAverageFactor Method (Bernoulli, Boolean, Bernoulli)
LogAverageFactor Method (Bernoulli, Boolean, Boolean)
LogEvidenceRatio Method
LogEvidenceRatio Method (Bernoulli)
LogEvidenceRatio Method (Boolean, Bernoulli, Bernoulli)
LogEvidenceRatio Method (Boolean, Bernoulli, Boolean)
LogEvidenceRatio Method (Boolean, Boolean, Bernoulli)
LogEvidenceRatio Method (Boolean, Boolean, Boolean)
BooleanAreEqualOp Class
BooleanAreEqualOp Members
BooleanAreEqualOp Methods
AAverageConditional Method
AAverageConditional Method (Boolean, Bernoulli)
AAverageConditional Method (Boolean, Boolean)
AAverageConditional Method (Bernoulli, Bernoulli)
AAverageConditional Method (Bernoulli, Boolean)
AAverageLogarithm Method
AAverageLogarithm Method (Boolean, Bernoulli)
AAverageLogarithm Method (Boolean, Boolean)
AAverageLogarithm Method (Bernoulli, Bernoulli)
AAverageLogarithm Method (Bernoulli, Boolean)
AreEqualAverageConditional Method
AreEqualAverageConditional Method (Boolean, Bernoulli)
AreEqualAverageConditional Method (Boolean, Boolean)
AreEqualAverageConditional Method (Bernoulli, Bernoulli)
AreEqualAverageConditional Method (Bernoulli, Boolean)
AreEqualAverageLogarithm Method
AreEqualAverageLogarithm Method (Boolean, Bernoulli)
AreEqualAverageLogarithm Method (Boolean, Boolean)
AreEqualAverageLogarithm Method (Bernoulli, Bernoulli)
AreEqualAverageLogarithm Method (Bernoulli, Boolean)
AverageLogFactor Method
AverageLogFactor Method
AverageLogFactor Method (Boolean, Boolean, Boolean)
BAverageConditional Method
BAverageConditional Method (Boolean, Bernoulli)
BAverageConditional Method (Boolean, Boolean)
BAverageConditional Method (Bernoulli, Bernoulli)
BAverageConditional Method (Bernoulli, Boolean)
BAverageLogarithm Method
BAverageLogarithm Method (Boolean, Bernoulli)
BAverageLogarithm Method (Boolean, Boolean)
BAverageLogarithm Method (Bernoulli, Bernoulli)
BAverageLogarithm Method (Bernoulli, Boolean)
LogAverageFactor Method
LogAverageFactor Method (Bernoulli, Bernoulli)
LogAverageFactor Method (Boolean, Boolean, Boolean)
LogAverageFactor Method (Bernoulli, Boolean, Boolean)
LogAverageFactor Method (Boolean, Bernoulli, Bernoulli, Bernoulli)
LogAverageFactor Method (Boolean, Bernoulli, Boolean, Bernoulli)
LogAverageFactor Method (Boolean, Boolean, Bernoulli, Bernoulli)
LogEvidenceRatio Method
LogEvidenceRatio Method (Bernoulli)
LogEvidenceRatio Method (Boolean, Boolean, Boolean)
LogEvidenceRatio Method (Boolean, Bernoulli, Bernoulli, Bernoulli)
LogEvidenceRatio Method (Boolean, Bernoulli, Boolean, Bernoulli)
LogEvidenceRatio Method (Boolean, Boolean, Bernoulli, Bernoulli)
BooleanNotOp Class
BooleanNotOp Members
BooleanNotOp Methods
AverageLogFactor Method
AverageLogFactor Method
AverageLogFactor Method (Boolean, Boolean)
BAverageConditional Method
BAverageConditional Method (Boolean)
BAverageConditional Method (Bernoulli)
BAverageLogarithm Method
BAverageLogarithm Method (Boolean)
BAverageLogarithm Method (Bernoulli)
LogAverageFactor Method
LogAverageFactor Method (Boolean, Bernoulli)
LogAverageFactor Method (Boolean, Boolean)
LogAverageFactor Method (Bernoulli, Boolean)
LogAverageFactor Method (Bernoulli, Bernoulli, Bernoulli)
LogEvidenceRatio Method
LogEvidenceRatio Method (Bernoulli)
LogEvidenceRatio Method (Boolean, Bernoulli)
LogEvidenceRatio Method (Boolean, Boolean)
NotAverageConditional Method
NotAverageLogarithm Method
BooleanOrOp Class
BooleanOrOp Members
BooleanOrOp Methods
AAverageConditional Method
AAverageConditional Method (Boolean, Bernoulli)
AAverageConditional Method (Boolean, Boolean)
AAverageConditional Method (Bernoulli, Bernoulli)
AAverageConditional Method (Bernoulli, Boolean)
AAverageLogarithm Method
AAverageLogarithm Method (Boolean, Bernoulli)
AAverageLogarithm Method (Boolean, Boolean)
AAverageLogarithm Method (Bernoulli, Bernoulli)
AAverageLogarithm Method (Bernoulli, Boolean)
AverageLogFactor Method
AverageLogFactor Method
AverageLogFactor Method (Boolean, Boolean, Boolean)
BAverageConditional Method
BAverageConditional Method (Boolean, Bernoulli)
BAverageConditional Method (Boolean, Boolean)
BAverageConditional Method (Bernoulli, Bernoulli)
BAverageConditional Method (Bernoulli, Boolean)
BAverageLogarithm Method
BAverageLogarithm Method (Boolean, Bernoulli)
BAverageLogarithm Method (Boolean, Boolean)
BAverageLogarithm Method (Bernoulli, Bernoulli)
BAverageLogarithm Method (Bernoulli, Boolean)
LogAverageFactor Method
LogAverageFactor Method (Bernoulli, Bernoulli)
LogAverageFactor Method (Boolean, Bernoulli, Bernoulli)
LogAverageFactor Method (Boolean, Bernoulli, Boolean)
LogAverageFactor Method (Boolean, Boolean, Bernoulli)
LogAverageFactor Method (Boolean, Boolean, Boolean)
LogAverageFactor Method (Bernoulli, Boolean, Boolean)
LogEvidenceRatio Method
LogEvidenceRatio Method (Bernoulli)
LogEvidenceRatio Method (Boolean, Bernoulli, Bernoulli)
LogEvidenceRatio Method (Boolean, Bernoulli, Boolean)
LogEvidenceRatio Method (Boolean, Boolean, Bernoulli)
LogEvidenceRatio Method (Boolean, Boolean, Boolean)
OrAverageConditional Method
OrAverageConditional Method (Boolean, Bernoulli)
OrAverageConditional Method (Bernoulli, Bernoulli)
OrAverageConditional Method (Bernoulli, Boolean)
OrAverageLogarithm Method
OrAverageLogarithm Method (Boolean, Bernoulli)
OrAverageLogarithm Method (Bernoulli, Bernoulli)
OrAverageLogarithm Method (Bernoulli, Boolean)
BouchardSoftmaxOp Class
BouchardSoftmaxOp Members
BouchardSoftmaxOp Methods
A(GaussianList) Method
AInit Method
AverageLogFactor(GaussianList) Method
SoftmaxAverageLogarithm(GaussianList) Method
XAverageLogarithm(GaussianList) Method
BouchardSoftmaxOp_Sparse Class
BouchardSoftmaxOp_Sparse Members
BouchardSoftmaxOp_Sparse Methods
A(GaussianList) Method
AInit Method
AverageLogFactor(GaussianList) Method
logSumExp(GaussianList) Method
SoftmaxAverageLogarithm(GaussianList) Method
XAverageLogarithm(GaussianList) Method
BuffersAttribute Class
BuffersAttribute Members
BuffersAttribute Constructor
BuffersAttribute Fields
BufferNames Field
BufferTesterCopyOp Class
BufferTesterCopyOp Members
BufferTesterCopyOp Methods
Buffer(T) Method
BufferInit(T) Method
CopyAverageConditional(T) Method
ValueAverageConditional(T) Method
CasesBoolOp Class
CasesBoolOp Members
CasesBoolOp Methods
AverageLogFactor Method
BAverageConditional Method
BAverageLogarithm Method
Case0AverageConditional Method
Case0AverageLogarithm Method
Case1AverageConditional Method
Case1AverageLogarithm Method
LogEvidenceRatio Method
CasesOp Class
CasesOp Members
CasesOp Methods
AverageLogFactor Method
BAverageConditional Method
BAverageLogarithm Method
CasesAverageConditional(BernoulliList) Method
CasesAverageConditionalInit Method
CasesAverageLogarithm(BernoulliList) Method
CasesAverageLogarithmInit Method
CasesDeriv(DistributionType) Method
LogEvidenceRatio Method
LogEvidenceRatio Method (IList(Bernoulli), Bernoulli)
LogEvidenceRatio Method (IList(Bernoulli), Boolean)
ChainCloneOfOp Class
ChainCloneOfOp Members
ChainCloneOfOp Methods
CloneAverageConditional(T) Method
CloneAverageLogarithm(T) Method
StateAverageConditional(T) Method
StateAverageLogarithm(T) Method
ChainNextOp Class
ChainNextOp Members
ChainNextOp Methods
ValueAverageConditional(T) Method
ValueAverageLogarithm(T) Method
ChainPreviousOp Class
ChainPreviousOp Members
ChainPreviousOp Methods
ValueAverageConditional(T) Method
ValueAverageLogarithm(T) Method
ConcatOp Class
ConcatOp Members
ConcatOp Methods
AverageLogFactor Method
ConcatAverageConditional Method
ConcatAverageConditional Method (Vector, VectorGaussian, VectorGaussian)
ConcatAverageConditional Method (VectorGaussian, VectorGaussian, VectorGaussian)
ConcatAverageConditional Method (VectorGaussian, Vector, VectorGaussian)
ConcatAverageConditionalInit Method
ConcatAverageConditionalInit Method (Vector, VectorGaussian)
ConcatAverageConditionalInit Method (VectorGaussian, VectorGaussian)
ConcatAverageConditionalInit Method (VectorGaussian, Vector)
ConcatAverageLogarithm Method
ConcatAverageLogarithm Method (Vector, VectorGaussian, VectorGaussian)
ConcatAverageLogarithm Method (VectorGaussian, VectorGaussian, VectorGaussian)
ConcatAverageLogarithm Method (VectorGaussian, Vector, VectorGaussian)
ConcatAverageLogarithmInit Method
ConcatAverageLogarithmInit Method (Vector, VectorGaussian)
ConcatAverageLogarithmInit Method (VectorGaussian, VectorGaussian)
ConcatAverageLogarithmInit Method (VectorGaussian, Vector)
FirstAverageConditional Method
FirstAverageConditional Method (Vector, VectorGaussian)
FirstAverageConditional Method (VectorGaussian, VectorGaussian, VectorGaussian)
FirstAverageConditional Method (VectorGaussian, Vector, VectorGaussian)
FirstAverageLogarithm Method
FirstAverageLogarithm Method (Vector, VectorGaussian)
FirstAverageLogarithm Method (VectorGaussian, VectorGaussian, VectorGaussian)
FirstAverageLogarithm Method (VectorGaussian, Vector, VectorGaussian)
LogAverageFactor Method
LogAverageFactor Method (VectorGaussian, VectorGaussian)
LogAverageFactor Method (Vector, VectorGaussian, VectorGaussian)
LogAverageFactor Method (Vector, VectorGaussian, Vector)
LogAverageFactor Method (Vector, Vector, VectorGaussian)
LogAverageFactor Method (Vector, Vector, Vector)
LogAverageFactor Method (VectorGaussian, Vector, Vector)
LogEvidenceRatio Method
LogEvidenceRatio Method (VectorGaussian)
LogEvidenceRatio Method (Vector, VectorGaussian, VectorGaussian)
LogEvidenceRatio Method (Vector, VectorGaussian, Vector)
LogEvidenceRatio Method (Vector, Vector, VectorGaussian)
LogEvidenceRatio Method (Vector, Vector, Vector)
SecondAverageConditional Method
SecondAverageConditional Method (Vector, VectorGaussian, VectorGaussian)
SecondAverageConditional Method (Vector, Vector, VectorGaussian)
SecondAverageConditional Method (VectorGaussian, VectorGaussian, VectorGaussian)
SecondAverageConditional Method (VectorGaussian, Vector, VectorGaussian)
SecondAverageLogarithm Method
SecondAverageLogarithm Method (Vector, VectorGaussian, VectorGaussian)
SecondAverageLogarithm Method (Vector, Vector, VectorGaussian)
SecondAverageLogarithm Method (VectorGaussian, VectorGaussian, VectorGaussian)
SecondAverageLogarithm Method (VectorGaussian, Vector, VectorGaussian)
ConstantAttribute Class
ConstantAttribute Members
ConstantAttribute Constructor
ConstantAttribute Methods
IsDefined Method
Constrain Class
Constrain Members
Constrain Methods
Between Method
Contain Method
Equal(T) Method
EqualRandom(DomainType, DistributionType) Method
False Method
Positive Method
True Method
ConstrainContainOp Class
ConstrainContainOp Members
ConstrainContainOp Constructor
ConstrainContainOp Methods
SetAverageLogarithm Method
ConstrainEqualOp(T) Class
ConstrainEqualOp(T) Members
ConstrainEqualOp(T) Methods
AAverageConditional Method
AAverageConditional(DistributionType) Method (DistributionType, DistributionType)
AAverageConditional(DistributionType) Method (T, DistributionType)
AAverageLogarithm Method
AAverageLogarithm(DistributionType) Method (DistributionType, DistributionType)
AAverageLogarithm(DistributionType) Method (T, DistributionType)
AMaxConditional(DistributionType) Method
AverageLogFactor Method
BAverageConditional Method
BAverageConditional(DistributionType) Method (DistributionType, DistributionType)
BAverageConditional(DistributionType) Method (T, DistributionType)
BAverageLogarithm Method
BAverageLogarithm(DistributionType) Method (DistributionType, DistributionType)
BAverageLogarithm(DistributionType) Method (T, DistributionType)
BMaxConditional(DistributionType) Method
LogAverageFactor Method
LogAverageFactor(DistributionType) Method (DistributionType, DistributionType)
LogAverageFactor(DistributionType) Method (DistributionType, T)
LogAverageFactor(DistributionType) Method (T, DistributionType)
LogAverageFactor Method (T, T)
LogEvidenceRatio Method
LogEvidenceRatio(DistributionType) Method (DistributionType, DistributionType)
LogEvidenceRatio(DistributionType) Method (DistributionType, T)
LogEvidenceRatio(DistributionType) Method (T, DistributionType)
LogEvidenceRatio Method (T, T)
ConstrainEqualRandomOp(DomainType) Class
ConstrainEqualRandomOp(DomainType) Members
ConstrainEqualRandomOp(DomainType) Methods
AverageLogFactor Method
AverageLogFactor(DistributionType) Method (DistributionType, DistributionType)
AverageLogFactor(DistributionType) Method (DomainType, DistributionType)
LogAverageFactor Method
LogAverageFactor(DistributionType) Method (DistributionType, DistributionType)
LogAverageFactor(DistributionType) Method (DomainType, DistributionType)
LogEvidenceRatio Method
LogEvidenceRatio(DistributionType) Method (DistributionType, DistributionType)
LogEvidenceRatio(DistributionType) Method (DomainType, DistributionType)
ValueAverageConditional(DistributionType) Method
ValueAverageLogarithm(DistributionType) Method
ConstrainFalseOp Class
ConstrainFalseOp Members
ConstrainFalseOp Methods
AverageLogFactor Method
AverageLogFactor Method (Boolean)
AverageLogFactor Method (Bernoulli)
BAverageConditional Method
BAverageLogarithm Method
LogAverageFactor Method
LogAverageFactor Method (Boolean)
LogAverageFactor Method (Bernoulli)
LogEvidenceRatio Method
LogEvidenceRatio Method (Boolean)
LogEvidenceRatio Method (Bernoulli)
ConstrainTrueOp Class
ConstrainTrueOp Members
ConstrainTrueOp Methods
AverageLogFactor Method
AverageLogFactor Method (Boolean)
AverageLogFactor Method (Bernoulli)
BAverageConditional Method
BAverageLogarithm Method
LogAverageFactor Method
LogAverageFactor Method (Boolean)
LogAverageFactor Method (Bernoulli)
LogEvidenceRatio Method
LogEvidenceRatio Method (Boolean)
LogEvidenceRatio Method (Bernoulli)
ConstraintViolatedException Class
ConstraintViolatedException Members
ConstraintViolatedException Constructor
CopyOp(T) Class
CopyOp(T) Members
CopyOp(T) Methods
AverageLogFactor Method
AverageLogFactor Method (T, T)
AverageLogFactor(TDist) Method (T, TDist)
AverageLogFactor(TDist) Method (TDist, T)
AverageLogFactor(TDist) Method (TDist, TDist)
AverageLogFactor Method (TruncatedGaussian, Gaussian, Gaussian)
CopyAverageConditional Method
CopyAverageConditional Method (T)
CopyAverageConditional(TDist) Method (TDist)
CopyAverageLogarithm Method
CopyAverageLogarithm(TDist) Method (TDist)
CopyAverageLogarithm Method (TruncatedGaussian)
CopyAverageLogarithm Method (Gaussian, Gaussian)
CopyAverageLogarithm Method (Gaussian, NonconjugateGaussian, Gaussian)
CopyDeriv(TDist) Method
LogAverageFactor Method
LogAverageFactor Method (T, T)
LogAverageFactor(TDist) Method (T, TDist)
LogAverageFactor(TDist) Method (TDist, T)
LogAverageFactor(TDist) Method (TDist, TDist)
LogEvidenceRatio Method
LogEvidenceRatio(TDist) Method (TDist)
LogEvidenceRatio Method (T, T)
LogEvidenceRatio(TDist) Method (T, TDist)
ValueAverageConditional Method
ValueAverageConditional Method (T)
ValueAverageConditional(TDist) Method (TDist)
ValueAverageConditional(TDist) Method (T, TDist)
ValueAverageLogarithm Method
ValueAverageLogarithm(TDist) Method (TDist)
ValueAverageLogarithm Method (Gaussian)
ValueAverageLogarithm(TDist) Method (T, TDist)
ValueAverageLogarithm Method (NonconjugateGaussian, Gaussian, Gaussian)
ValueAverageLogarithm Method (TruncatedGaussian, Gaussian, Gaussian)
Damp Class
Damp Members
Damp Methods
Backward(T) Method
Forward(T) Method
DampBackwardOp Class
DampBackwardOp Members
DampBackwardOp Methods
BackwardAverageConditional(Distribution) Method
LogEvidenceRatio Method
ValueAverageConditional(Distribution) Method
DampForwardOp Class
DampForwardOp Members
DampForwardOp Methods
ForwardAverageConditional(Distribution) Method
LogEvidenceRatio Method
ValueAverageConditional(Distribution) Method
DependsOnIteration Class
DependsOnIteration Members
DependsOnIteration Constructor
DependsOnIteration Methods
ToString Method
DerivedVariableGibbsOp Class
DerivedVariableGibbsOp Members
DerivedVariableGibbsOp Methods
DefGibbs Method
DefGibbs(TDist, T) Method (TDist)
DefGibbs(TDist, T) Method ((TDist, T), T)
GibbsEvidence Method
MarginalGibbs Method
MarginalGibbs(TDist, T) Method (T, (TDist, T))
MarginalGibbs(TDist, T) Method (T, TDist, (TDist, T))
MarginalGibbs(TDist, T) Method (TDist, TDist, (TDist, T))
UseGibbs Method
UseGibbs(T) Method (T, T)
UseGibbs(TDist, T) Method ((TDist, T), TDist, T)
DerivedVariableOp Class
DerivedVariableOp Members
DerivedVariableOp Methods
DefAverageConditional(T) Method
LogAverageFactor Method
LogEvidenceRatio Method
MarginalAverageConditional(T) Method
MarginalAverageConditionalInit(T) Method
UseAverageConditional(T) Method
DerivedVariableVmpOp Class
DerivedVariableVmpOp Members
DerivedVariableVmpOp Methods
AverageLogFactor Method
DefAverageLogarithm(T) Method
MarginalAverageLogarithm(T, TDef) Method
MarginalAverageLogarithmInit(T) Method
UseAverageLogarithm(T, TDef) Method
UseAverageLogarithmInit(T) Method
DirichletFromPseudoCountsOp Class
DirichletFromPseudoCountsOp Members
DirichletFromPseudoCountsOp Methods
AverageLogFactor Method
AverageLogFactor Method (Vector, Vector)
AverageLogFactor Method (Dirichlet, Vector, Dirichlet)
LogAverageFactor Method
LogAverageFactor Method (Vector, Vector)
LogAverageFactor Method (Dirichlet, Vector, Dirichlet)
LogEvidenceRatio Method
LogEvidenceRatio Method (Dirichlet, Vector)
LogEvidenceRatio Method (Vector, Vector)
SampleAverageConditional Method
SampleAverageLogarithm Method
DirichletOp Class
DirichletOp Members
DirichletOp Fields
damping Field
DirichletOp Methods
AverageLogFactor Method
AverageLogFactor Method (Dirichlet, Dirichlet, Gamma)
AverageLogFactor Method (Dirichlet, Dirichlet, Double)
AverageLogFactor Method (Dirichlet, Vector, Gamma)
AverageLogFactor Method (Dirichlet, Vector, Double)
AverageLogFactor Method (Vector, Dirichlet, Gamma)
AverageLogFactor Method (Vector, Dirichlet, Double)
AverageLogFactor Method (Vector, Vector, Gamma)
AverageLogFactor Method (Vector, Vector, Double)
EvidenceMessageExpectations Method
LogAverageFactor Method
LogAverageFactor Method (Dirichlet, Dirichlet, Gamma)
LogAverageFactor Method (Dirichlet, Dirichlet, Double)
LogAverageFactor Method (Dirichlet, Vector, Gamma)
LogAverageFactor Method (Vector, Dirichlet, Gamma)
LogAverageFactor Method (Vector, Dirichlet, Double)
LogAverageFactor Method (Vector, Vector, Gamma)
LogAverageFactor Method (Vector, Vector, Double)
LogAverageFactor Method (Dirichlet, Vector, Dirichlet, Double)
LogEvidenceRatio Method
MeanAverageConditional Method
MeanAverageConditional Method (Dirichlet, Gamma, Dirichlet, Dirichlet)
MeanAverageConditional Method (Dirichlet, Gamma, Vector, Dirichlet)
MeanAverageConditional Method (Dirichlet, Double, Dirichlet, Dirichlet)
MeanAverageConditional Method (Dirichlet, Double, Vector, Dirichlet)
MeanAverageLogarithm Method
MeanAverageLogarithm Method (Dirichlet, Gamma, Dirichlet, Dirichlet)
MeanAverageLogarithm Method (Dirichlet, Gamma, Vector, Dirichlet)
MeanAverageLogarithm Method (Dirichlet, Double, Dirichlet, Dirichlet)
MeanAverageLogarithm Method (Dirichlet, Double, Vector, Dirichlet)
MeanMessageExpectations Method
ProbAverageConditional Method
ProbAverageConditional Method (Dirichlet, Gamma)
ProbAverageConditional Method (Dirichlet, Double)
ProbAverageConditional Method (Vector, Gamma)
ProbAverageConditional Method (Vector, Double)
ProbAverageConditional Method (Dirichlet, Vector, Double, Dirichlet)
ProbAverageLogarithm Method
ProbAverageLogarithm Method (Dirichlet, Gamma)
ProbAverageLogarithm Method (Dirichlet, Double)
ProbAverageLogarithm Method (Vector, Gamma)
ProbAverageLogarithm Method (Vector, Double)
TotalCountAverageConditional Method
TotalCountAverageConditional Method (Dirichlet, Gamma, Dirichlet, Gamma)
TotalCountAverageConditional Method (Dirichlet, Gamma, Vector, Gamma)
TotalCountAverageConditional Method (Vector, Gamma, Dirichlet, Gamma)
TotalCountAverageConditional Method (Vector, Gamma, Vector, Gamma)
TotalCountAverageLogarithm Method
TotalCountAverageLogarithm Method (Dirichlet, Gamma, Dirichlet, Gamma)
TotalCountAverageLogarithm Method (Dirichlet, Gamma, Vector, Gamma)
TotalCountAverageLogarithm Method (Vector, Gamma, Dirichlet, Gamma)
TotalCountAverageLogarithm Method (Vector, Gamma, Vector, Gamma)
TotalCountMessageExpectations Method
DirichletSymmetricOp Class
DirichletSymmetricOp Members
DirichletSymmetricOp Methods
AlphaAverageConditional Method
AlphaAverageLogarithm Method
AlphaAverageLogarithm Method (Dirichlet, ConjugateDirichlet, Vector)
AlphaAverageLogarithm Method (Vector, Gamma, Gamma)
AlphaAverageLogarithm Method (Dirichlet, Gamma, Vector, Gamma)
AverageLogFactor Method
AverageLogFactor Method (IList(Double), Double)
AverageLogFactor Method (Dirichlet, ConjugateDirichlet)
AverageLogFactor Method (Vector, ConjugateDirichlet)
AverageLogFactor Method (Vector, Gamma)
AverageLogFactor Method (Dirichlet, Gamma, Vector)
AverageLogFactor Method (Dirichlet, Double, Vector)
LogAverageFactor Method
LogAverageFactor Method (IList(Double), Double)
LogAverageFactor Method (Dirichlet, Gamma)
LogAverageFactor Method (Dirichlet, Double)
LogEvidenceRatio Method
LogEvidenceRatio Method (IList(Double), Double)
LogEvidenceRatio Method (Dirichlet, Double)
ProbAverageConditional Method
ProbAverageConditional Method (Double, Dirichlet)
ProbAverageConditional Method (Gamma, Dirichlet)
ProbAverageConditionalInit Method
ProbAverageLogarithm Method
ProbAverageLogarithm Method (Double, Dirichlet)
ProbAverageLogarithm Method (ConjugateDirichlet, Dirichlet)
ProbAverageLogarithm Method (Gamma, Dirichlet)
ProbAverageLogarithmInit Method
ProbMeanLog Method
ProbMeanLogInit Method
DiscreteAreEqualOp Class
DiscreteAreEqualOp Members
DiscreteAreEqualOp Methods
AAverageConditional Method
AAverageConditional Method (Boolean, Discrete, Discrete)
AAverageConditional Method (Boolean, Int32, Discrete)
AAverageConditional Method (Bernoulli, Discrete, Discrete)
AAverageConditional Method (Bernoulli, Int32, Discrete)
AAverageLogarithm Method
AAverageLogarithm Method (Boolean, Discrete, Discrete)
AAverageLogarithm Method (Boolean, Int32, Discrete)
AAverageLogarithm Method (Bernoulli, Discrete, Discrete)
AAverageLogarithm Method (Bernoulli, Int32, Discrete)
AreEqualAverageConditional Method
AreEqualAverageConditional Method (Int32, Discrete)
AreEqualAverageConditional Method (Discrete, Discrete)
AreEqualAverageConditional Method (Discrete, Int32)
AreEqualAverageLogarithm Method
AreEqualAverageLogarithm Method (Int32, Discrete)
AreEqualAverageLogarithm Method (Discrete, Discrete)
AreEqualAverageLogarithm Method (Discrete, Int32)
AverageLogFactor Method
AverageLogFactor Method
AverageLogFactor Method (Boolean, Int32, Int32)
BAverageConditional Method
BAverageConditional Method (Boolean, Discrete, Discrete)
BAverageConditional Method (Boolean, Int32, Discrete)
BAverageConditional Method (Bernoulli, Discrete, Discrete)
BAverageConditional Method (Bernoulli, Int32, Discrete)
BAverageLogarithm Method
BAverageLogarithm Method (Boolean, Discrete, Discrete)
BAverageLogarithm Method (Boolean, Int32, Discrete)
BAverageLogarithm Method (Bernoulli, Discrete, Discrete)
BAverageLogarithm Method (Bernoulli, Int32, Discrete)
LogAverageFactor Method
LogAverageFactor Method (Bernoulli, Bernoulli)
LogAverageFactor Method (Boolean, Discrete, Discrete)
LogAverageFactor Method (Boolean, Discrete, Int32)
LogAverageFactor Method (Boolean, Int32, Discrete)
LogAverageFactor Method (Boolean, Int32, Int32)
LogAverageFactor Method (Bernoulli, Int32, Int32)
LogAverageFactor Method (Boolean, Discrete, Discrete, Discrete)
LogAverageFactor Method (Boolean, Discrete, Int32, Discrete)
LogAverageFactor Method (Boolean, Int32, Discrete, Discrete)
LogEvidenceRatio Method
LogEvidenceRatio Method (Bernoulli)
LogEvidenceRatio Method (Boolean, Int32, Int32)
LogEvidenceRatio Method (Boolean, Discrete, Discrete, Discrete)
LogEvidenceRatio Method (Boolean, Discrete, Int32, Discrete)
LogEvidenceRatio Method (Boolean, Int32, Discrete, Discrete)
DiscreteEnumAreEqualOp(TEnum) Class
DiscreteEnumAreEqualOp(TEnum) Members
DiscreteEnumAreEqualOp(TEnum) Constructor
DiscreteEnumAreEqualOp(TEnum) Methods
AAverageConditional Method
AAverageConditional Method (Boolean, TEnum, Discrete)
AAverageConditional Method (Bernoulli, TEnum, Discrete)
AAverageLogarithm Method
AAverageLogarithm Method (Boolean, TEnum, Discrete)
AAverageLogarithm Method (Bernoulli, TEnum, Discrete)
AreEqualAverageConditional Method
AreEqualAverageConditional Method (TEnum, Discrete)
AreEqualAverageConditional Method (Discrete, TEnum)
AreEqualAverageLogarithm Method
AreEqualAverageLogarithm Method (TEnum, Discrete)
AreEqualAverageLogarithm Method (Discrete, TEnum)
BAverageConditional Method
BAverageConditional Method (Boolean, TEnum, Discrete)
BAverageConditional Method (Bernoulli, TEnum, Discrete)
BAverageLogarithm Method
BAverageLogarithm Method (Boolean, TEnum, Discrete)
BAverageLogarithm Method (Bernoulli, TEnum, Discrete)
LogAverageFactor Method
LogAverageFactor Method (Boolean, Discrete, TEnum)
LogAverageFactor Method (Boolean, TEnum, Discrete)
LogAverageFactor Method (Boolean, TEnum, TEnum)
LogAverageFactor Method (Bernoulli, TEnum, TEnum)
LogEvidenceRatio Method
LogEvidenceRatio Method (Boolean, TEnum, TEnum)
LogEvidenceRatio Method (Boolean, Discrete, TEnum, Discrete)
LogEvidenceRatio Method (Boolean, TEnum, Discrete, Discrete)
DiscreteEnumFromDirichletOp(TEnum) Class
DiscreteEnumFromDirichletOp(TEnum) Members
DiscreteEnumFromDirichletOp(TEnum) Methods
AverageLogFactor Method
AverageLogFactor Method (TEnum, Dirichlet)
AverageLogFactor Method (TEnum, Vector)
LogAverageFactor Method
LogAverageFactor Method (TEnum, Dirichlet)
LogAverageFactor Method (TEnum, Vector)
LogEvidenceRatio Method
LogEvidenceRatio Method (TEnum, Dirichlet)
LogEvidenceRatio Method (TEnum, Vector)
ProbsAverageConditional Method
ProbsAverageLogarithm Method
DiscreteFromDirichletOp Class
DiscreteFromDirichletOp Members
DiscreteFromDirichletOp Methods
AverageLogFactor Method
AverageLogFactor Method (Int32, Dirichlet)
AverageLogFactor Method (Int32, Vector)
AverageLogFactor Method (Discrete, Dirichlet)
AverageLogFactor Method (Discrete, Vector)
LogAverageFactor Method
LogAverageFactor Method (Int32, Dirichlet)
LogAverageFactor Method (Int32, Vector)
LogAverageFactor Method (Discrete, Discrete)
LogEvidenceRatio Method
LogEvidenceRatio Method (Int32, Dirichlet)
LogEvidenceRatio Method (Int32, Vector)
LogEvidenceRatio Method (Discrete, Dirichlet)
LogEvidenceRatio Method (Discrete, Vector)
ProbsAverageConditional Method
ProbsAverageConditional Method (Int32, Dirichlet)
ProbsAverageConditional Method (Discrete, Dirichlet, Dirichlet)
ProbsAverageConditional Method (Discrete, Vector, Dirichlet)
ProbsAverageLogarithm Method
ProbsAverageLogarithm Method (Int32, Dirichlet)
ProbsAverageLogarithm Method (Discrete, Dirichlet)
ProbsConditional Method
SampleAverageConditional Method
SampleAverageConditional Method (Dirichlet, Discrete)
SampleAverageConditional Method (Vector, Discrete)
SampleAverageConditionalInit Method
SampleAverageConditionalInit Method (Dirichlet)
SampleAverageConditionalInit Method (Vector)
SampleAverageLogarithm Method
SampleAverageLogarithm Method (Dirichlet, Discrete)
SampleAverageLogarithm Method (Vector, Discrete)
SampleAverageLogarithmInit Method
SampleAverageLogarithmInit Method (Dirichlet)
SampleAverageLogarithmInit Method (Vector)
SampleConditional Method
DiscreteFromDiscreteOp Class
DiscreteFromDiscreteOp Members
DiscreteFromDiscreteOp Methods
LogAverageFactor Method
LogEvidenceRatio Method
SampleAverageConditional Method
SelectorAverageConditional Method
DiscreteFromLogProbsOp Class
DiscreteFromLogProbsOp Members
DiscreteFromLogProbsOp Methods
AverageLogFactor Method
AverageLogFactor Method (Int32, IList(Gaussian))
AverageLogFactor Method (Int32, IList(Double))
LogAverageFactor Method
LogProbsAverageLogarithm(GaussianList) Method
DiscreteUniform Class
DiscreteUniform Members
DiscreteUniform Methods
AverageLogFactor Method
AverageLogFactor Method (Int32, Discrete)
AverageLogFactor Method (Int32, Int32)
AverageLogFactor Method (Discrete, Discrete)
AverageLogFactor Method (Discrete, Int32)
LogAverageFactor Method
LogAverageFactor Method (Int32, Discrete)
LogAverageFactor Method (Int32, Int32)
LogAverageFactor Method (Discrete, Discrete)
LogEvidenceRatio Method
LogEvidenceRatio Method (Int32, Discrete)
LogEvidenceRatio Method (Int32, Int32)
LogEvidenceRatio Method (Discrete, Discrete)
LogEvidenceRatio Method (Discrete, Int32)
SampleAverageConditional Method
SampleAverageConditional Method (Int32, Discrete)
SampleAverageConditional Method (Discrete, Discrete)
SampleAverageConditionalInit Method
SampleAverageConditionalInit Method (Int32)
SampleAverageConditionalInit Method (Discrete)
SampleAverageLogarithm Method
SampleAverageLogarithm Method (Int32, Discrete)
SampleAverageLogarithm Method (Discrete, Discrete)
SampleAverageLogarithmInit Method
SampleAverageLogarithmInit Method (Int32)
SampleAverageLogarithmInit Method (Discrete)
SizeAverageConditional Method
SizeAverageConditional Method (Int32, Discrete)
SizeAverageConditional Method (Discrete, Discrete)
SizeAverageLogarithm Method
SizeAverageLogarithm Method (Int32, Discrete)
SizeAverageLogarithm Method (Discrete, Discrete)
DoubleBetweenOp Class
DoubleBetweenOp Members
DoubleBetweenOp Methods
AverageLogFactor Method
AverageLogFactor Method (TruncatedGaussian)
AverageLogFactor Method (Double, Double, Double)
AverageLogFactor Method (Gaussian, Double, Double, Gaussian)
LogAverageFactor Method
LogAverageFactor Method (Double, Gaussian, Gaussian)
LogAverageFactor Method (Double, Gaussian, Double)
LogAverageFactor Method (Double, Double, Gaussian)
LogAverageFactor Method (Double, Double, Double)
LogAverageFactor Method (Gaussian, Gaussian, Gaussian)
LogAverageFactor Method (Gaussian, Gaussian, Double)
LogAverageFactor Method (Gaussian, Double, Gaussian)
LogAverageFactor Method (Gaussian, Double, Double)
LogEvidenceRatio Method
LogEvidenceRatio Method (Double, Gaussian, Gaussian)
LogEvidenceRatio Method (Double, Gaussian, Double)
LogEvidenceRatio Method (Double, Double, Gaussian)
LogEvidenceRatio Method (Double, Double, Double)
LogEvidenceRatio Method (Gaussian, Gaussian, Gaussian)
LogEvidenceRatio Method (Gaussian, Gaussian, Double)
LogEvidenceRatio Method (Gaussian, Double, Gaussian)
LogEvidenceRatio Method (Gaussian, Double, Double)
LowerBoundAverageConditional Method
LowerBoundAverageConditional Method (Double)
LowerBoundAverageConditional Method (Double, Gaussian, Gaussian)
LowerBoundAverageConditional Method (Double, Gaussian, Double)
LowerBoundAverageConditional Method (Gaussian, Gaussian, Gaussian)
LowerBoundAverageConditional Method (Gaussian, Gaussian, Double)
LowerBoundAverageLogarithm Method
UpperBoundAverageConditional Method
UpperBoundAverageConditional Method (Double)
UpperBoundAverageConditional Method (Double, Gaussian, Gaussian)
UpperBoundAverageConditional Method (Double, Double, Gaussian)
UpperBoundAverageConditional Method (Gaussian, Gaussian, Gaussian)
UpperBoundAverageConditional Method (Gaussian, Double, Gaussian)
UpperBoundAverageLogarithm Method
XAverageConditional Method
XAverageConditional Method (Double, Double)
XAverageConditional Method (Gaussian, Gaussian, Gaussian)
XAverageConditional Method (Gaussian, Gaussian, Double)
XAverageConditional Method (Gaussian, Double, Gaussian)
XAverageConditional Method (Gaussian, Double, Double)
XAverageLogarithm Method
XAverageLogarithm Method (TruncatedGaussian, Double, Double)
XAverageLogarithm Method (Gaussian, Double, Double, Gaussian)
DoubleIsBetweenOp Class
DoubleIsBetweenOp Members
DoubleIsBetweenOp Fields
ForceProper Field
DoubleIsBetweenOp Methods
AverageLogFactor Method
IsBetweenAverageConditional Method
IsBetweenAverageConditional Method (Double, Gaussian, Gaussian)
IsBetweenAverageConditional Method (Double, Gaussian, Double)
IsBetweenAverageConditional Method (Double, Double, Gaussian)
IsBetweenAverageConditional Method (Gaussian, Gaussian, Gaussian)
IsBetweenAverageConditional Method (Gaussian, Gaussian, Double)
IsBetweenAverageConditional Method (Gaussian, Double, Gaussian)
IsBetweenAverageConditional Method (Gaussian, Double, Double)
IsBetweenAverageLogarithm Method
LogAverageFactor Method
LogAverageFactor Method (Boolean, Gaussian, Gaussian, Gaussian)
LogAverageFactor Method (Boolean, Gaussian, Gaussian, Double)
LogAverageFactor Method (Boolean, Gaussian, Double, Gaussian)
LogAverageFactor Method (Boolean, Gaussian, Double, Double)
LogAverageFactor Method (Boolean, Double, Gaussian, Gaussian)
LogAverageFactor Method (Boolean, Double, Gaussian, Double)
LogAverageFactor Method (Boolean, Double, Double, Gaussian)
LogAverageFactor Method (Boolean, Double, Double, Double)
LogAverageFactor Method (Bernoulli, Gaussian, Gaussian, Gaussian)
LogAverageFactor Method (Bernoulli, Gaussian, Gaussian, Double)
LogAverageFactor Method (Bernoulli, Gaussian, Double, Gaussian)
LogAverageFactor Method (Bernoulli, Gaussian, Double, Double)
LogAverageFactor Method (Bernoulli, Double, Gaussian, Gaussian)
LogAverageFactor Method (Bernoulli, Double, Gaussian, Double)
LogAverageFactor Method (Bernoulli, Double, Double, Gaussian)
LogEvidenceRatio Method
LogEvidenceRatio Method (Boolean, Gaussian, Gaussian, Gaussian)
LogEvidenceRatio Method (Boolean, Gaussian, Gaussian, Double)
LogEvidenceRatio Method (Boolean, Gaussian, Double, Gaussian)
LogEvidenceRatio Method (Boolean, Gaussian, Double, Double)
LogEvidenceRatio Method (Boolean, Double, Gaussian, Gaussian)
LogEvidenceRatio Method (Boolean, Double, Gaussian, Double)
LogEvidenceRatio Method (Boolean, Double, Double, Gaussian)
LogEvidenceRatio Method (Boolean, Double, Double, Double)
LogEvidenceRatio Method (Bernoulli, Gaussian, Gaussian, Gaussian)
LogEvidenceRatio Method (Bernoulli, Gaussian, Gaussian, Double)
LogEvidenceRatio Method (Bernoulli, Gaussian, Double, Gaussian)
LogEvidenceRatio Method (Bernoulli, Gaussian, Double, Double)
LogEvidenceRatio Method (Bernoulli, Double, Gaussian, Gaussian)
LogEvidenceRatio Method (Bernoulli, Double, Gaussian, Double)
LogEvidenceRatio Method (Bernoulli, Double, Double, Gaussian)
LogProbBetween Method
LogProbBetween Method (Gaussian, Gaussian, Gaussian)
LogProbBetween Method (Gaussian, Double, Double)
LowerBoundAverageConditional Method
LowerBoundAverageConditional Method (Boolean, Gaussian, Gaussian, Gaussian)
LowerBoundAverageConditional Method (Boolean, Gaussian, Gaussian, Double)
LowerBoundAverageConditional Method (Boolean, Double, Gaussian, Gaussian)
LowerBoundAverageConditional Method (Boolean, Double, Gaussian, Double)
LowerBoundAverageConditional Method (Bernoulli, Gaussian, Gaussian, Gaussian)
LowerBoundAverageConditional Method (Bernoulli, Gaussian, Gaussian, Double)
LowerBoundAverageConditional Method (Bernoulli, Double, Gaussian, Gaussian)
LowerBoundAverageConditional Method (Bernoulli, Double, Gaussian, Double)
LowerBoundAverageLogarithm Method
UpperBoundAverageConditional Method
UpperBoundAverageConditional Method (Boolean, Gaussian, Gaussian, Gaussian)
UpperBoundAverageConditional Method (Boolean, Gaussian, Double, Gaussian)
UpperBoundAverageConditional Method (Boolean, Double, Gaussian, Gaussian)
UpperBoundAverageConditional Method (Boolean, Double, Double, Gaussian)
UpperBoundAverageConditional Method (Bernoulli, Gaussian, Gaussian, Gaussian)
UpperBoundAverageConditional Method (Bernoulli, Gaussian, Double, Gaussian)
UpperBoundAverageConditional Method (Bernoulli, Double, Gaussian, Gaussian)
UpperBoundAverageConditional Method (Bernoulli, Double, Double, Gaussian)
UpperBoundAverageLogarithm Method
XAverageConditional Method
XAverageConditional Method (Boolean, Gaussian, Gaussian, Gaussian)
XAverageConditional Method (Boolean, Gaussian, Gaussian, Double)
XAverageConditional Method (Boolean, Gaussian, Double, Gaussian)
XAverageConditional Method (Boolean, Gaussian, Double, Double)
XAverageConditional Method (Bernoulli, Gaussian, Gaussian, Gaussian)
XAverageConditional Method (Bernoulli, Gaussian, Gaussian, Double)
XAverageConditional Method (Bernoulli, Gaussian, Double, Gaussian)
XAverageConditional Method (Bernoulli, Gaussian, Double, Double)
XAverageLogarithm Method
DoubleMinusEvidenceOp Class
DoubleMinusEvidenceOp Members
DoubleMinusEvidenceOp Methods
LogEvidenceRatio Method
LogEvidenceRatio Method (Gaussian)
LogEvidenceRatio Method (Double, Gaussian, Gaussian)
LogEvidenceRatio Method (Double, Double, Double)
LogEvidenceRatio Method (Double, Double, Gaussian, Gaussian)
DoubleMinusVmpOp Class
DoubleMinusVmpOp Members
DoubleMinusVmpOp Methods
AAverageLogarithm Method
AAverageLogarithm Method (Double, Gaussian)
AAverageLogarithm Method (Double, Double)
AAverageLogarithm Method (Gaussian, Gaussian)
AAverageLogarithm Method (Gaussian, Double)
AverageLogFactor Method
BAverageLogarithm Method
BAverageLogarithm Method (Double, Gaussian)
BAverageLogarithm Method (Double, Double)
BAverageLogarithm Method (Gaussian, Gaussian)
BAverageLogarithm Method (Gaussian, Double)
DifferenceAverageLogarithm Method
DifferenceAverageLogarithm Method (Double, Gaussian)
DifferenceAverageLogarithm Method (Double, Double)
DifferenceAverageLogarithm Method (Gaussian, Gaussian)
DifferenceAverageLogarithm Method (Gaussian, Double)
DoublePlusEvidenceOp Class
DoublePlusEvidenceOp Members
DoublePlusEvidenceOp Methods
LogEvidenceRatio Method
LogEvidenceRatio Method (Gaussian)
LogEvidenceRatio Method (Double, Gaussian, Gaussian)
LogEvidenceRatio Method (Double, Double, Double)
LogEvidenceRatio Method (Double, Double, Gaussian, Gaussian)
DoublePlusOp Class
DoublePlusOp Members
DoublePlusOp Methods
AAverageConditional Method
AAverageConditional Method (Double, Gaussian)
AAverageConditional Method (Double, TruncatedGaussian)
AAverageConditional Method (Double, Double)
AAverageConditional Method (Gaussian, Gaussian)
AAverageConditional Method (Gaussian, Double)
AAverageConditional Method (TruncatedGaussian, Double)
AAverageConditional Method (WrappedGaussian, WrappedGaussian)
AAverageConditional Method (WrappedGaussian, Double)
BAverageConditional Method
BAverageConditional Method (Double, Gaussian)
BAverageConditional Method (Double, TruncatedGaussian)
BAverageConditional Method (Double, Double)
BAverageConditional Method (Gaussian, Gaussian)
BAverageConditional Method (Gaussian, Double)
BAverageConditional Method (TruncatedGaussian, Double)
BAverageConditional Method (WrappedGaussian, WrappedGaussian)
BAverageConditional Method (WrappedGaussian, Double)
LogAverageFactor Method
LogAverageFactor Method (Gaussian, Gaussian)
LogAverageFactor Method (Double, Gaussian, Gaussian)
LogAverageFactor Method (Double, TruncatedGaussian, Double)
LogAverageFactor Method (Double, Double, TruncatedGaussian)
LogAverageFactor Method (Double, Double, Double)
LogAverageFactor Method (TruncatedGaussian, Double, Double)
LogAverageFactor Method (Double, Double, Gaussian, Gaussian)
SumAverageConditional Method
SumAverageConditional Method (Double, Gaussian)
SumAverageConditional Method (Double, TruncatedGaussian)
SumAverageConditional Method (Double, WrappedGaussian)
SumAverageConditional Method (Double, Double)
SumAverageConditional Method (Gaussian, Gaussian)
SumAverageConditional Method (Gaussian, Double)
SumAverageConditional Method (TruncatedGaussian, Double)
SumAverageConditional Method (WrappedGaussian, WrappedGaussian)
SumAverageConditional Method (WrappedGaussian, Double)
DoublePlusVmpOp Class
DoublePlusVmpOp Members
DoublePlusVmpOp Methods
AAverageLogarithm Method
AAverageLogarithm Method (Double, Gaussian)
AAverageLogarithm Method (Double, Double)
AAverageLogarithm Method (Gaussian, Gaussian)
AAverageLogarithm Method (Gaussian, Double)
AAverageLogarithm Method (WrappedGaussian, WrappedGaussian)
AAverageLogarithm Method (WrappedGaussian, Double)
AAverageLogarithm Method (Gaussian, Gaussian, Gaussian, Gaussian, Gaussian, Gaussian, Gaussian)
AverageLogFactor Method
AverageLogFactor Method (Gaussian)
AverageLogFactor Method (WrappedGaussian)
AverageLogFactor Method (Double, Gaussian)
AverageLogFactor Method (Double, Double, Gaussian)
AverageLogFactor Method (Double, Double, Double)
BAverageLogarithm Method
BAverageLogarithm Method (Double, Gaussian)
BAverageLogarithm Method (Double, Double)
BAverageLogarithm Method (Gaussian, Gaussian)
BAverageLogarithm Method (Gaussian, Double)
BAverageLogarithm Method (WrappedGaussian, WrappedGaussian)
BAverageLogarithm Method (WrappedGaussian, Double)
SumAverageLogarithm Method
SumAverageLogarithm Method (Double, Gaussian)
SumAverageLogarithm Method (Double, WrappedGaussian)
SumAverageLogarithm Method (Double, Double)
SumAverageLogarithm Method (Gaussian, Gaussian)
SumAverageLogarithm Method (Gaussian, Double)
SumAverageLogarithm Method (WrappedGaussian, WrappedGaussian)
SumAverageLogarithm Method (WrappedGaussian, Double)
SumDeriv Method
SumDeriv Method (Double, Gaussian)
SumDeriv Method (Gaussian, Double)
SumDeriv Method (Gaussian, Gaussian, Gaussian, Gaussian, Gaussian, Gaussian, Gaussian)
EnumSupport Class
EnumSupport Members
EnumSupport Constructor
EnumSupport Methods
AreEqual(TEnum) Method
DiscreteEnum(TEnum) Method
EnumToInt(TEnum) Method
EnumToIntOp(TEnum) Class
EnumToIntOp(TEnum) Members
EnumToIntOp(TEnum) Methods
AverageLogFactor Method
AverageLogFactor Method
AverageLogFactor Method (Int32, TEnum)
EnumAverageConditional Method
EnumAverageConditional Method (Int32, DiscreteEnum(TEnum))
EnumAverageConditional Method (Discrete, DiscreteEnum(TEnum))
EnumAverageLogarithm Method
EnumAverageLogarithm Method (Int32, DiscreteEnum(TEnum))
EnumAverageLogarithm Method (Discrete, DiscreteEnum(TEnum))
IntAverageConditional Method
IntAverageConditionalInit Method
IntAverageLogarithm Method
LogAverageFactor Method
LogAverageFactor Method (Int32, DiscreteEnum(TEnum))
LogAverageFactor Method (Int32, TEnum)
LogAverageFactor Method (Discrete, TEnum)
LogAverageFactor Method (Discrete, DiscreteEnum(TEnum), Discrete)
LogEvidenceRatio Method
LogEvidenceRatio Method (Discrete)
LogEvidenceRatio Method (Int32, DiscreteEnum(TEnum))
LogEvidenceRatio Method (Int32, TEnum)
ExitingVariableOp Class
ExitingVariableOp Members
ExitingVariableOp Methods
AverageLogFactor Method
DefAverageLogarithm(T) Method
MarginalAverageLogarithm(T) Method
MarginalAverageLogarithmInit(T) Method
UseAverageLogarithm(T) Method
ExpOp Class
ExpOp Members
ExpOp Constructor
ExpOp Fields
ForceProper Field
QuadratureIterations Field
QuadratureNodeCount Field
QuadratureShift Field
ExpOp Methods
AverageLogFactor Method
AverageLogFactor Method
AverageLogFactor Method (Double, Double)
DAverageConditional Method
DAverageConditional Method (Double)
DAverageConditional Method (Gamma, Gaussian, Gaussian)
DAverageLogarithm Method
DAverageLogarithm Method (Double)
DAverageLogarithm Method (Gamma, Gaussian, Gaussian)
DAverageLogarithm Method (Gamma, NonconjugateGaussian, NonconjugateGaussian)
DNonconjugateAverageLogarithm Method
ExpAverageConditional Method
ExpAverageConditionalInit Method
ExpAverageLogarithm Method
ExpAverageLogarithm Method (Double)
ExpAverageLogarithm Method (Gaussian)
ExpAverageLogarithm Method (NonconjugateGaussian)
ExpAverageLogarithmInit Method
LogAverageFactor Method
LogAverageFactor Method (Double, Gaussian)
LogAverageFactor Method (Double, Double)
LogAverageFactor Method (Gamma, Double)
LogAverageFactor Method (Gamma, Gaussian, Gaussian)
LogAverageFactor_slow Method
LogEvidenceRatio Method
LogEvidenceRatio Method (Double, Gaussian)
LogEvidenceRatio Method (Double, Double)
LogEvidenceRatio Method (Gamma, Gaussian, Gamma, Gaussian)
ExpOp_BFGS Class
ExpOp_BFGS Members
ExpOp_BFGS Constructor
ExpOp_BFGS Methods
DAverageLogarithm Method
Factor Class
Factor Members
Factor Methods
AllTrue Method
And Method
AreEqual Method
AreEqual Method (Boolean, Boolean)
AreEqual Method (Int32, Int32)
ArrayFromVector Method
Bernoulli Method
BernoulliFromLogOdds Method
BetaFromMeanAndTotalCount Method
Binomial Method
Copy(T) Method
DerivedVariable(T) Method
DerivedVariableGibbs(T) Method
DerivedVariableInit(T) Method
DerivedVariableInitGibbs(T) Method
DerivedVariableInitVmp(T) Method
DerivedVariableMax(T) Method
DerivedVariableVmp(T) Method
Difference Method
Difference Method (Double, Double)
Difference Method (Int32, Int32)
DirichletFromMeanAndTotalCount Method
DirichletSymmetric Method
Discrete Method
Discrete Method (Vector)
Discrete Method (Int32, Matrix)
DiscreteFromLogProbs Method
DiscreteFromStickBreaking Method
DiscreteUniform Method
FunctionEvaluate Method
GammaFromShapeAndRate Method
Gaussian Method
GaussianFromMeanAndVariance Method
GetItem(T) Method
GetItem2D(T) Method
GetItems(T) Method
InnerProduct Method
InnerProductPartialCovariance Method
IsBetween Method
IsGreaterThan Method
IsPositive Method
MatrixMultiply Method
Max Method
Multinomial Method
MultinomialList Method
Not Method
OffsetCopy(T) Method
Or Method
Plus Method
Plus Method (Double, Double)
Plus Method (Int32, Int32)
Poisson Method
PoissonFromLogRate Method
Product Method
Product Method (Double, Double)
Product Method (Matrix, Vector)
ProductExp Method
Random(DomainType) Method
Ratio Method
Replicate(T) Method
ReplicateNd(T) Method
ReplicateWithMarginal(T) Method
ReplicateWithMarginalGibbs(T) Method
Rotate Method
Subarray(T) Method
Sum Method
SumWhere Method
UsesEqualDef(T) Method
UsesEqualDefGibbs(T) Method
Variable(T) Method
VariableGibbs(T) Method
VariableInit(T) Method
VariableMax(T) Method
VectorGaussian Method
FactorMethodAttribute Class
FactorMethodAttribute Members
FactorMethodAttribute Constructor
FactorMethodAttribute Constructor (Type, String, Type[])
FactorMethodAttribute Constructor (String[], Type, String, Type[])
FactorMethodAttribute Fields
Default Field
MethodName Field
NewParameterNames Field
ParameterTypes Field
Type Field
FastSumOp Class
FastSumOp Members
FastSumOp Methods
ArrayAverageConditional Method
ArrayAverageConditional(GaussianList) Method (Double, IList(Gaussian), GaussianList)
ArrayAverageConditional(GaussianList) Method (Gaussian, Gaussian, IList(Gaussian), GaussianList)
ArrayAverageLogarithm Method
ArrayAverageLogarithm(GaussianList) Method (Double, IList(Gaussian), GaussianList)
ArrayAverageLogarithm(GaussianList) Method (Gaussian, IList(Gaussian), GaussianList)
ArrayAverageLogarithm1(GaussianList) Method
ArrayAverageLogarithm2(GaussianList) Method
ArrayAverageLogarithm3(GaussianList) Method
ArrayAverageLogarithm4(GaussianList) Method
ArrayAverageLogarithm5(GaussianList) Method
ArrayAverageLogarithm6(GaussianList) Method
AverageLogFactor Method
AverageLogFactor Method
AverageLogFactor Method (Double, IList(Double))
LogAverageFactor Method
LogAverageFactor Method (Double, IList(Gaussian))
LogAverageFactor Method (Double, IList(Double))
LogAverageFactor Method (Gaussian, Gaussian)
LogEvidenceRatio Method
LogEvidenceRatio Method (Gaussian)
LogEvidenceRatio Method (Double, IList(Gaussian))
LogEvidenceRatio Method (Double, IList(Double))
SumAverageConditional Method
SumAverageLogarithm Method
SumDeriv Method
FreshAttribute Class
FreshAttribute Members
FreshAttribute Constructor
FuncOut(T1, TOut, TResult) Delegate
FuncOut(T1, T2, TOut, TResult) Delegate
FuncOut2(T1, TOut, TOut2, TResult) Delegate
FuncOut2(T1, T2, TOut, TOut2, TResult) Delegate
FuncOut3(T1, T2, TOut, TOut2, TOut3, TResult) Delegate
FuncOut3(T1, T2, T3, TOut, TOut2, TOut3, TResult) Delegate
FuncOut3(T1, T2, T3, T4, TOut, TOut2, TOut3, TResult) Delegate
FuncOut4(T1, T2, TOut, TOut2, TOut3, TOut4, TResult) Delegate
FuncOut4(T1, T2, T3, TOut, TOut2, TOut3, TOut4, TResult) Delegate
GammaFromMeanAndVarianceOp Class
GammaFromMeanAndVarianceOp Members
GammaFromMeanAndVarianceOp Methods
AverageLogFactor Method
LogAverageFactor Method
LogAverageFactor Method (Gamma, Gamma)
LogAverageFactor Method (Double, Double, Double)
LogEvidenceRatio Method
SampleAverageConditional Method
SampleAverageLogarithm Method
GammaFromShapeAndRateOp Class
GammaFromShapeAndRateOp Members
GammaFromShapeAndRateOp Methods
AverageLogFactor Method
AverageLogFactor Method (Double, Gamma, Gamma)
AverageLogFactor Method (Double, Gamma, Double)
AverageLogFactor Method (Double, Double, Gamma)
AverageLogFactor Method (Double, Double, Double)
AverageLogFactor Method (Gamma, Gamma, Gamma)
AverageLogFactor Method (Gamma, Gamma, Double)
AverageLogFactor Method (Gamma, Double, Gamma)
AverageLogFactor Method (Gamma, Double, Double)
CalculateDerivatives Method
ELogGamma Method
LogAverageFactor Method
LogAverageFactor Method (Gamma, Gamma)
LogAverageFactor Method (Double, Gamma, Gamma)
LogAverageFactor Method (Double, Gamma, Double)
LogAverageFactor Method (Double, Double, Gamma)
LogAverageFactor Method (Double, Double, Double)
LogAverageFactor Method (Gamma, Gamma, Gamma)
LogAverageFactor Method (Gamma, Gamma, Double)
LogAverageFactor Method (Gamma, Double, Gamma)
LogEvidenceRatio Method
LogEvidenceRatio Method (Double, Double, Gamma)
LogEvidenceRatio Method (Double, Double, Double)
LogEvidenceRatio Method (Gamma, Double, Double)
RateAverageConditional Method
RateAverageConditional Method (Double, Gamma)
RateAverageConditional Method (Double, Double)
RateAverageConditional Method (Gamma, Gamma)
RateAverageConditional Method (Gamma, Double)
RateAverageLogarithm Method
RateAverageLogarithm Method (Double, Gamma)
RateAverageLogarithm Method (Double, Double)
RateAverageLogarithm Method (Gamma, Gamma)
RateAverageLogarithm Method (Gamma, Double)
ShapeAverageConditional Method
ShapeAverageConditional Method (Double, Gamma, Gamma, Gamma)
ShapeAverageConditional Method (Double, Gamma, Double, Gamma)
ShapeAverageConditional Method (Gamma, Gamma, Gamma, Gamma)
ShapeAverageConditional Method (Gamma, Gamma, Double, Gamma)
ShapeAverageLogarithm Method
ShapeAverageLogarithm Method (Double, Gamma, Gamma, Gamma)
ShapeAverageLogarithm Method (Double, Gamma, Double, Gamma)
ShapeAverageLogarithm Method (Gamma, Gamma, Gamma, Gamma)
ShapeAverageLogarithm Method (Gamma, Gamma, Double, Gamma)
YAverageConditional Method
YAverageConditional Method (Double, Gamma)
YAverageConditional Method (Double, Double)
YAverageConditional Method (Gamma, Gamma)
YAverageConditional Method (Gamma, Double)
YAverageConditionalInit Method
YAverageLogarithm Method
YAverageLogarithm Method (Double, Gamma)
YAverageLogarithm Method (Double, Double)
YAverageLogarithm Method (Gamma, Gamma)
YAverageLogarithm Method (Gamma, Double)
GammaFromShapeAndScaleOp Class
GammaFromShapeAndScaleOp Members
GammaFromShapeAndScaleOp Methods
AverageLogFactor Method
AverageLogFactor Method (Double, Double, Double)
AverageLogFactor Method (Gamma, Double, Double)
LogAverageFactor Method
LogAverageFactor Method (Gamma, Gamma)
LogAverageFactor Method (Double, Double, Double)
LogEvidenceRatio Method
LogEvidenceRatio Method (Double, Double, Double)
LogEvidenceRatio Method (Gamma, Double, Double)
SampleAverageConditional Method
SampleAverageLogarithm Method
GammaProductEvidenceOp Class
GammaProductEvidenceOp Members
GammaProductEvidenceOp Methods
LogAverageFactor Method
LogAverageFactor Method (Double, Gamma, Double)
LogAverageFactor Method (Double, Double, Gamma)
LogAverageFactor Method (Gamma, Gamma, Double)
LogAverageFactor Method (Gamma, Double, Gamma)
LogEvidenceRatio Method
LogEvidenceRatio Method (Double, Gamma, Double)
LogEvidenceRatio Method (Double, Double, Gamma)
LogEvidenceRatio Method (Gamma, Gamma, Double)
LogEvidenceRatio Method (Gamma, Double, Gamma)
GammaProductOp Class
GammaProductOp Members
GammaProductOp Methods
AAverageConditional Method
AAverageConditional Method (Double, Double)
AAverageConditional Method (Gamma, Double)
AAverageConditional Method (Double, Gamma, Gamma)
BAverageConditional Method
BAverageConditional Method (Double, Double)
BAverageConditional Method (Gamma, Double)
BAverageConditional Method (Double, Gamma, Gamma)
ProductAverageConditional Method
ProductAverageConditional Method (Double, Gamma)
ProductAverageConditional Method (Double, Double)
ProductAverageConditional Method (Gamma, Double)
GammaProductVmpOp Class
GammaProductVmpOp Members
GammaProductVmpOp Methods
AAverageLogarithm Method
AAverageLogarithm Method (Double, Gamma)
AAverageLogarithm Method (Double, Double)
AAverageLogarithm Method (Gamma, Gamma)
AAverageLogarithm Method (Gamma, Double)
AverageLogFactor Method
BAverageLogarithm Method
BAverageLogarithm Method (Double, Gamma)
BAverageLogarithm Method (Double, Double)
BAverageLogarithm Method (Gamma, Gamma)
BAverageLogarithm Method (Gamma, Double)
ProductAverageLogarithm Method
ProductAverageLogarithm Method (Double, Gamma)
ProductAverageLogarithm Method (Gamma, Gamma)
ProductAverageLogarithm Method (Gamma, Double)
GammaRatioEvidenceOp Class
GammaRatioEvidenceOp Members
GammaRatioEvidenceOp Methods
LogAverageFactor Method
LogAverageFactor Method (Double, Gamma, Double)
LogAverageFactor Method (Double, Double, Gamma)
LogAverageFactor Method (Gamma, Gamma, Double)
LogAverageFactor Method (Gamma, Double, Gamma)
LogEvidenceRatio Method
LogEvidenceRatio Method (Double, Gamma, Double)
LogEvidenceRatio Method (Double, Double, Gamma)
LogEvidenceRatio Method (Gamma, Gamma, Double)
LogEvidenceRatio Method (Gamma, Double, Gamma)
GammaRatioVmpOp Class
GammaRatioVmpOp Members
GammaRatioVmpOp Methods
AAverageLogarithm Method
AAverageLogarithm Method (Gamma)
AAverageLogarithm Method (Double, Double)
AAverageLogarithm Method (Gamma, Double)
BAverageLogarithm Method
RatioAverageLogarithm Method
RatioAverageLogarithm Method (Gamma)
RatioAverageLogarithm Method (Gamma, Double)
GammaSoftmaxOp Class
GammaSoftmaxOp Members
GammaSoftmaxOp Methods
GetMeanLog Method
SoftmaxAverageLogarithm Method
XAverageLogarithm(GammaList) Method
Gate Class
Gate Members
Gate Methods
Cases Method
CasesBool Method
CasesInt Method
Enter Method
Enter(T) Method (Boolean, T)
Enter(T) Method (Int32, T)
EnterOne(T) Method
EnterPartial Method
EnterPartial(T) Method (Boolean, T, Int32[])
EnterPartial(T) Method (Int32, T, Int32[])
EnterPartialTwo(T) Method
Exit(T) Method
ExitingVariable(T) Method
ExitRandom(T) Method
ExitRandomTwo(T) Method
ExitTwo(T) Method
ReplicateExiting(T) Method
GateEnterOneOp(T) Class
GateEnterOneOp(T) Members
GateEnterOneOp(T) Methods
AverageLogFactor Method
EnterOneAverageConditional(T) Method
EnterOneAverageLogarithm(T) Method
LogAverageFactor Method
LogEvidenceRatio Method
SelectorAverageConditional Method
SelectorAverageLogarithm Method
ValueAverageConditional Method
ValueAverageConditional(TDist) Method (TDist, Int32, Int32, TDist)
ValueAverageConditional(TDist) Method (TDist, Discrete, TDist, Int32, TDist)
ValueAverageLogarithm(TDist) Method
GateEnterOp(T) Class
GateEnterOp(T) Members
GateEnterOp(T) Fields
ForceProper Field
GateEnterOp(T) Methods
AverageLogFactor Method
EnterAverageConditional(T, TList) Method
EnterAverageLogarithm(T, TList) Method
EnterInit(T, ArrayType) Method
LogAverageFactor Method
LogEvidenceRatio Method
SelectorAverageConditional Method
SelectorAverageLogarithm Method
ValueAverageConditional Method
ValueAverageConditional(TDist) Method (IList(TDist), Int32, TDist)
ValueAverageConditional(TDist) Method (IList(TDist), Discrete, TDist, TDist)
ValueAverageLogarithm(TDist) Method
GateEnterPartialOp(T) Class
GateEnterPartialOp(T) Members
GateEnterPartialOp(T) Methods
AverageLogFactor Method
EnterPartialAverageConditional(T, TList) Method
EnterPartialAverageLogarithm(T, TList) Method
EnterPartialInit(T, ArrayType) Method
LogAverageFactor Method
LogEvidenceRatio Method
SelectorAverageConditional Method
SelectorAverageConditional Method (Bernoulli)
SelectorAverageConditional Method (Discrete)
SelectorAverageLogarithm Method
SelectorAverageLogarithm Method (Bernoulli)
SelectorAverageLogarithm Method (Discrete)
ValueAverageConditional Method
ValueAverageConditional(TDist) Method (IList(T), Boolean, Int32[], TDist)
ValueAverageConditional(TDist) Method (IList(TDist), Boolean, Int32[], TDist)
ValueAverageConditional(TDist) Method (IList(TDist), Int32, Int32[], TDist)
ValueAverageConditional(TDist) Method (IList(TDist), Bernoulli, TDist, Int32[], TDist)
ValueAverageConditional(TDist) Method (IList(TDist), Discrete, TDist, Int32[], TDist)
ValueAverageLogarithm Method
ValueAverageLogarithm(TDist) Method (IList(TDist), Bernoulli, Int32[], TDist)
ValueAverageLogarithm(TDist) Method (IList(TDist), Discrete, Int32[], TDist)
GateEnterPartialTwoOp Class
GateEnterPartialTwoOp Members
GateEnterPartialTwoOp Methods
AverageLogFactor Method
Case0AverageConditional Method
Case0AverageLogarithm(T) Method
Case1AverageConditional Method
Case1AverageLogarithm(T) Method
EnterPartialTwoAverageConditional(T, TList) Method
EnterPartialTwoAverageLogarithm(T, TList) Method
LogAverageFactor Method
LogEvidenceRatio Method
ValueAverageConditional Method
ValueAverageConditional(T, TDomain) Method (IList(T), Boolean, Boolean, Int32[], T)
ValueAverageConditional(T) Method (IList(T), Bernoulli, Bernoulli, T, Int32[], T)
ValueAverageLogarithm(T) Method
GateExitOp(T) Class
GateExitOp(T) Members
GateExitOp(T) Fields
ForceProper Field
GateExitOp(T) Methods
AverageLogFactor(TDist) Method
CasesAverageConditional Method
CasesAverageConditional(TDist, BernoulliList) Method (TDist, IList(T), BernoulliList)
CasesAverageConditional(TDist, BernoulliList) Method (TDist, IList(TDist), BernoulliList)
CasesAverageLogarithm(TDist, BernoulliList) Method
ExitAverageConditional Method
ExitAverageConditional(TDist) Method (TDist, IList(Bernoulli), IList(T), TDist)
ExitAverageConditional(TDist) Method (TDist, IList(Bernoulli), IList(TDist), TDist)
ExitAverageConditional2(TDist) Method
ExitAverageConditionalInit(TDist) Method
ExitAverageLogarithm(TDist) Method
ExitAverageLogarithmInit(TDist) Method
LogEvidenceRatio Method
LogEvidenceRatio(TDist) Method (TDist, IList(Boolean), IList(T))
LogEvidenceRatio(TDist) Method (TDist, IList(Bernoulli), IList(TDist), TDist)
ValuesAverageConditional(T, TList) Method
ValuesAverageLogarithm(T, TList) Method
GateExitRandomOp Class
GateExitRandomOp Members
GateExitRandomOp Methods
AverageLogFactor Method
CasesAverageConditional(BernoulliList) Method
CasesAverageLogarithm(BernoulliList) Method
ExitAverageConditional(T) Method
ExitAverageLogarithm(T) Method
ExitAverageLogarithmInit(T) Method
LogAverageFactor Method
ValuesAverageConditional Method
ValuesAverageConditional(T) Method (T, T[])
ValuesAverageConditional(T, TList) Method (T, TList)
ValuesAverageLogarithm(T, TList) Method
GateExitTwoOp Class
GateExitTwoOp Members
GateExitTwoOp Methods
AverageLogFactor(T) Method
Case0AverageConditional Method
Case0AverageConditional(T) Method (IList(T))
Case0AverageConditional(T, DomainType) Method (T, IList(DomainType))
Case0AverageLogarithm(T) Method
Case1AverageConditional Method
Case1AverageConditional(T) Method (IList(T))
Case1AverageConditional(T, DomainType) Method (T, IList(DomainType))
Case1AverageLogarithm(T) Method
ExitTwoAverageConditional Method
ExitTwoAverageConditional(T, DomainType) Method (T, Bernoulli, Bernoulli, IList(DomainType), T)
ExitTwoAverageConditional(T) Method (T, Bernoulli, Bernoulli, IList(T), T)
ExitTwoAverageLogarithm(T) Method
ValuesAverageConditional(T, TList) Method
ValuesAverageLogarithm(T, TList) Method
GaussianFromMeanAndVarianceOp Class
GaussianFromMeanAndVarianceOp Members
GaussianFromMeanAndVarianceOp Fields
nWeights Field
GaussianFromMeanAndVarianceOp Methods
AverageLogFactor Method
AverageLogFactor Method (Double, Gaussian, Double)
AverageLogFactor Method (Double, Double, Double)
AverageLogFactor Method (Gaussian, Gaussian, Double)
AverageLogFactor Method (Gaussian, Double, Double)
BinomialTransform Method
InterpolateBesselKMoment Method
LaplacianTimesGaussianMoments Method
LogAverageFactor Method
LogAverageFactor Method (Double, Gaussian, Double)
LogAverageFactor Method (Double, Double, Double)
LogAverageFactor Method (Gaussian, Gaussian, Gamma)
LogAverageFactor Method (Gaussian, Gaussian, Double)
LogAverageFactor Method (Gaussian, Double, Double)
LogEvidenceRatio Method
LogEvidenceRatio Method (Double, Gaussian, Double)
LogEvidenceRatio Method (Double, Double, Double)
LogEvidenceRatio Method (Gaussian, Gaussian, Double)
LogEvidenceRatio Method (Gaussian, Double, Double)
LogEvidenceRatio Method (Gaussian, Gaussian, Gamma, Gaussian)
MeanAverageConditional Method
MeanAverageConditional Method (Double, Double)
MeanAverageConditional Method (Gaussian, Double)
MeanAverageConditional Method (Double, Gaussian, Gamma)
MeanAverageConditional Method (Double, Double, TruncatedGaussian)
MeanAverageConditional Method (Gaussian, Gaussian, Gamma)
MeanAverageLogarithm Method
MeanAverageLogarithm Method (Double, Double)
MeanAverageLogarithm Method (Gaussian, Double)
NormalCdfMoment Method
NormalCdfMomentRatios Method
NormalCdfMomentRecurrence Method
NormalCdfMoments Method
NormalVGMomentRatio Method
NormalVGMomentRatios Method
NormalVGMoments Method
NormalVGMomentTable Method
SampleAverageConditional Method
SampleAverageConditional Method (Double, Double)
SampleAverageConditional Method (Gaussian, Double)
SampleAverageConditional Method (Double, Double, TruncatedGaussian)
SampleAverageConditional Method (Gaussian, Gaussian, Gamma)
SampleAverageConditional Method (Gaussian, Double, Gamma)
SampleAverageLogarithm Method
SampleAverageLogarithm Method (Double, Double)
SampleAverageLogarithm Method (Gaussian, Double)
VarianceAverageConditional Method
VarianceAverageConditional Method (Double, Gaussian, Gamma)
VarianceAverageConditional Method (Double, Double, Gamma)
VarianceAverageConditional Method (Gaussian, Gaussian, Gamma)
VarianceAverageConditional Method (Gaussian, Double, Gamma)
VarianceGammaTimesGaussianIntegral Method
VarianceGammaTimesGaussianMoments2 Method
VarianceGammaTimesGaussianMoments3 Method
VarianceGammaTimesGaussianMoments4 Method
VarianceGammaTimesGaussianMoments5 Method
GaussianOp Class
GaussianOp Members
GaussianOp Fields
ForceProper Field
QuadratureNodeCount Field
GaussianOp Methods
AverageLogFactor Method
AverageLogFactor Method (Double, Gaussian, Gamma)
AverageLogFactor Method (Double, Gaussian, Double)
AverageLogFactor Method (Double, Double, Gamma)
AverageLogFactor Method (Double, Double, Double)
AverageLogFactor Method (Gaussian, Gaussian, Gamma)
AverageLogFactor Method (Gaussian, Gaussian, Double)
AverageLogFactor Method (Gaussian, Double, Gamma)
AverageLogFactor Method (Gaussian, Double, Double)
LogAverageFactor Method
LogAverageFactor Method (Double, Gaussian, Gamma)
LogAverageFactor Method (Double, Gaussian, Double)
LogAverageFactor Method (Double, Double, Gamma)
LogAverageFactor Method (Double, Double, Double)
LogAverageFactor Method (Gaussian, Gaussian, Gamma)
LogAverageFactor Method (Gaussian, Gaussian, Double)
LogAverageFactor Method (Gaussian, Double, Gamma)
LogAverageFactor Method (Gaussian, Double, Double)
LogEvidenceRatio Method
LogEvidenceRatio Method (Double, Gaussian, Gamma)
LogEvidenceRatio Method (Double, Gaussian, Double)
LogEvidenceRatio Method (Double, Double, Gamma)
LogEvidenceRatio Method (Double, Double, Double)
LogEvidenceRatio Method (Gaussian, Gaussian, Double)
LogEvidenceRatio Method (Gaussian, Double, Double)
LogEvidenceRatio Method (Gaussian, Gaussian, Gamma, Gaussian)
LogEvidenceRatio Method (Gaussian, Double, Gamma, Gaussian)
LogFactorValue Method
MeanAverageConditional Method
MeanAverageConditional Method (Double, Double)
MeanAverageConditional Method (Gaussian, Double)
MeanAverageConditional Method (Double, Gaussian, Gamma)
MeanAverageConditional Method (Double, Double, TruncatedGaussian)
MeanAverageConditional Method (Gaussian, Gaussian, Gamma)
MeanAverageLogarithm Method
MeanAverageLogarithm Method (Double, Gamma)
MeanAverageLogarithm Method (Double, Double)
MeanAverageLogarithm Method (Gaussian, Gamma)
MeanAverageLogarithm Method (Gaussian, Double)
MeanConditional Method
PrecisionAverageConditional Method
PrecisionAverageConditional Method (Double, Double)
PrecisionAverageConditional Method (Double, Gaussian, Gamma)
PrecisionAverageConditional Method (Gaussian, Gaussian, Gamma)
PrecisionAverageConditional Method (Gaussian, Double, Gamma)
PrecisionAverageLogarithm Method
PrecisionAverageLogarithm Method (Double, Gaussian)
PrecisionAverageLogarithm Method (Double, Double)
PrecisionAverageLogarithm Method (Gaussian, Gaussian)
PrecisionAverageLogarithm Method (Gaussian, Double)
PrecisionConditional Method
QuadratureNodesAndWeights Method
SampleAverageConditional Method
SampleAverageConditional Method (Double, Double)
SampleAverageConditional Method (Gaussian, Double)
SampleAverageConditional Method (Double, Double, TruncatedGaussian)
SampleAverageConditional Method (Gaussian, Gaussian, Gamma)
SampleAverageConditional Method (Gaussian, Double, Gamma)
SampleAverageConditionalInit Method
SampleAverageLogarithm Method
SampleAverageLogarithm Method (Double, Gamma)
SampleAverageLogarithm Method (Double, Double)
SampleAverageLogarithm Method (Gaussian, Gamma)
SampleAverageLogarithm Method (Gaussian, Double)
SampleConditional Method
TPdfLn Method
GaussianProductEvidenceOp Class
GaussianProductEvidenceOp Members
GaussianProductEvidenceOp Methods
LogAverageFactor Method
LogAverageFactor Method (Double, Gaussian, Double)
LogAverageFactor Method (Double, Double, Gaussian)
LogAverageFactor Method (Double, Double, Double)
LogAverageFactor Method (Gaussian, Double, Double)
LogAverageFactor Method (Gaussian, Gaussian, Double, Gaussian)
LogAverageFactor Method (Gaussian, Double, Gaussian, Gaussian)
LogEvidenceRatio Method
LogEvidenceRatio Method (Double, Gaussian, Double)
LogEvidenceRatio Method (Double, Double, Gaussian)
LogEvidenceRatio Method (Double, Double, Double)
LogEvidenceRatio Method (Gaussian, Gaussian, Double)
LogEvidenceRatio Method (Gaussian, Double, Gaussian)
GaussianProductOp Class
GaussianProductOp Members
GaussianProductOp Fields
ForceProper Field
QuadratureNodeCount Field
GaussianProductOp Methods
AAverageConditional Method
AAverageConditional Method (Double, Double)
AAverageConditional Method (Gaussian, Double)
AAverageConditional Method (Double, Gaussian, Gaussian)
AAverageConditional Method (Gaussian, Gaussian, Gaussian)
BAverageConditional Method
BAverageConditional Method (Double, Double)
BAverageConditional Method (Gaussian, Double)
BAverageConditional Method (Double, Gaussian, Gaussian)
BAverageConditional Method (Gaussian, Gaussian, Gaussian)
ProductAverageConditional Method
ProductAverageConditional Method (Double, Gaussian)
ProductAverageConditional Method (Double, Double)
ProductAverageConditional Method (Gaussian, Double)
ProductAverageConditional Method (Gaussian, Gaussian, Gaussian)
ProductAverageConditionalInit Method
GaussianProductVmpOp Class
GaussianProductVmpOp Members
GaussianProductVmpOp Methods
AAverageLogarithm Method
AAverageLogarithm Method (Double, Gaussian)
AAverageLogarithm Method (Double, Double)
AAverageLogarithm Method (Gaussian, Gaussian)
AAverageLogarithm Method (Gaussian, Double)
AverageLogFactor Method
BAverageLogarithm Method
BAverageLogarithm Method (Double, Gaussian)
BAverageLogarithm Method (Double, Double)
BAverageLogarithm Method (Gaussian, Gaussian)
BAverageLogarithm Method (Gaussian, Double)
ProductAverageLogarithm Method
ProductAverageLogarithm Method (Double, Gaussian)
ProductAverageLogarithm Method (Gaussian, Gaussian)
ProductAverageLogarithm Method (Gaussian, Double)
ProductDeriv Method
ProductDeriv Method (Gaussian, Gaussian, Double, Gaussian)
ProductDeriv Method (Gaussian, Double, Gaussian, Gaussian)
ProductDeriv Method (Gaussian, Gaussian, Gaussian, Gaussian, Gaussian)
GaussianRatioEvidenceOp Class
GaussianRatioEvidenceOp Members
GaussianRatioEvidenceOp Methods
LogAverageFactor Method
LogAverageFactor Method (Double, Gaussian, Double)
LogAverageFactor Method (Double, Double, Gaussian)
LogAverageFactor Method (Double, Double, Double)
LogAverageFactor Method (Gaussian, Double, Double)
LogAverageFactor Method (Gaussian, Gaussian, Double, Gaussian)
LogAverageFactor Method (Gaussian, Double, Gaussian, Gaussian)
LogEvidenceRatio Method
LogEvidenceRatio Method (Double, Gaussian, Double)
LogEvidenceRatio Method (Double, Double, Gaussian)
LogEvidenceRatio Method (Double, Double, Double)
LogEvidenceRatio Method (Gaussian, Gaussian, Double)
LogEvidenceRatio Method (Gaussian, Double, Gaussian)
GaussianRatioVmpOp Class
GaussianRatioVmpOp Members
GaussianRatioVmpOp Methods
AAverageLogarithm Method
AAverageLogarithm Method (Gaussian)
AAverageLogarithm Method (Double, Double)
AAverageLogarithm Method (Gaussian, Double)
AverageLogFactor Method
BAverageLogarithm Method
RatioAverageLogarithm Method
RatioAverageLogarithm Method (Gaussian)
RatioAverageLogarithm Method (Gaussian, Double)
GetItem2DOp(T) Class
GetItem2DOp(T) Members
GetItem2DOp(T) Methods
ArrayAverageConditional Method
ArrayAverageConditional(Distribution, DistributionArray) Method (Distribution, Int32, Int32, DistributionArray)
ArrayAverageConditional(Distribution, DistributionArray) Method (T, Int32, Int32, DistributionArray)
ArrayAverageLogarithm Method
ArrayAverageLogarithm(Distribution, DistributionArray) Method (Distribution, Int32, Int32, DistributionArray)
ArrayAverageLogarithm(Distribution, DistributionArray) Method (T, Int32, Int32, DistributionArray)
AverageLogFactor Method
ItemAverageConditional(Distribution) Method
ItemAverageLogarithm(Distribution) Method
LogAverageFactor Method
LogAverageFactor(Distribution) Method (Distribution, Distribution)
LogAverageFactor(Distribution) Method (T, IArray2D(Distribution), Int32, Int32)
LogEvidenceRatio Method
LogEvidenceRatio(Distribution) Method (Distribution)
LogEvidenceRatio(Distribution) Method (T, IArray2D(Distribution), Int32, Int32)
GetItemOp(T) Class
GetItemOp(T) Members
GetItemOp(T) Methods
ArrayAverageConditional Method
ArrayAverageConditional(Distribution, DistributionArray) Method (Distribution, Int32, DistributionArray)
ArrayAverageConditional(Distribution, DistributionArray) Method (T, Int32, DistributionArray)
ArrayAverageLogarithm Method
ArrayAverageLogarithm(Distribution, DistributionArray) Method (Distribution, Int32, DistributionArray)
ArrayAverageLogarithm(Distribution, DistributionArray) Method (T, Int32, DistributionArray)
AverageLogFactor Method
AverageLogFactor Method
AverageLogFactor Method (T, IList(T), Int32)
ItemAverageConditional(Distribution) Method
ItemAverageConditionalInit(Distribution) Method
ItemAverageLogarithm(Distribution) Method
ItemAverageLogarithmInit(Distribution) Method
LogAverageFactor Method
LogAverageFactor(Distribution) Method (Distribution, Distribution)
LogAverageFactor(Distribution) Method (T, IList(Distribution), Int32)
LogAverageFactor Method (T, IList(T), Int32)
LogEvidenceRatio Method
LogEvidenceRatio(Distribution) Method (Distribution)
LogEvidenceRatio(Distribution) Method (T, IList(Distribution), Int32)
LogEvidenceRatio Method (T, IList(T), Int32)
GetItemsOp(T) Class
GetItemsOp(T) Members
GetItemsOp(T) Methods
ArrayAverageConditional Method
ArrayAverageConditional(DistributionType, ArrayType) Method (IList(DistributionType), IList(Int32), ArrayType)
ArrayAverageConditional(DistributionType, ArrayType) Method (IList(T), IList(Int32), ArrayType)
ArrayAverageLogarithm Method
ArrayAverageLogarithm(DistributionType, ArrayType) Method (IList(DistributionType), IList(Int32), ArrayType)
ArrayAverageLogarithm(DistributionType, ArrayType) Method (IList(T), IList(Int32), ArrayType)
AverageLogFactor Method
AverageLogFactor Method
AverageLogFactor Method (IList(T), IList(T), IList(Int32))
ItemsAverageConditional(DistributionType, ArrayType, ResultType) Method
ItemsAverageConditionalInit Method
ItemsAverageConditionalInit(TDist) Method ((TDist, T), IList(Int32))
ItemsAverageConditionalInit(TDist) Method ((TDist, T), IList(Int32))
ItemsAverageLogarithm(DistributionType, ResultType) Method
ItemsAverageLogarithmInit Method
ItemsAverageLogarithmInit(TDist) Method ((TDist, T), IList(Int32))
ItemsAverageLogarithmInit(TDist) Method ((TDist, T), IList(Int32))
LogAverageFactor Method
LogAverageFactor(DistributionType) Method (IList(DistributionType), IList(T), IList(Int32))
LogAverageFactor(DistributionType, ArrayType) Method (IList(DistributionType), ArrayType, IList(Int32))
LogAverageFactor Method (IList(T), IList(T), IList(Int32))
LogAverageFactor(DistributionType, ArrayType) Method (IList(T), ArrayType, IList(Int32))
LogEvidenceRatio Method
LogEvidenceRatio(DistributionType) Method (IList(DistributionType), IList(T), IList(Int32))
LogEvidenceRatio Method (IList(T), IList(T), IList(Int32))
LogEvidenceRatio(DistributionType, ArrayType) Method (IList(T), ArrayType, IList(Int32))
LogEvidenceRatio(DistributionType, ArrayType) Method (ArrayType, IList(DistributionType), IList(Int32))
HasMessageFunctionsAttribute Class
HasMessageFunctionsAttribute Members
HasMessageFunctionsAttribute Constructor
HiddenAttribute Class
HiddenAttribute Members
HiddenAttribute Constructor
HiddenAttribute Methods
IsDefined Method
IsDefined Method (MethodInfo)
IsDefined Method (Type)
IgnoreDependencyAttribute Class
IgnoreDependencyAttribute Members
IgnoreDependencyAttribute Constructor
ImproperMessageException Class
ImproperMessageException Members
ImproperMessageException Constructor
IndexOfMaximumBuffer Class
IndexOfMaximumBuffer Members
IndexOfMaximumBuffer Constructor
IndexOfMaximumBuffer Fields
MessagesToMax Field
to_list Field
IndexOfMaximumOp Class
IndexOfMaximumOp Members
IndexOfMaximumOp Methods
Buffer(GaussianList) Method
BufferInit(GaussianList) Method
listAverageConditional(GaussianList) Method
LogAverageFactor(GaussianList) Method
LogEvidenceRatio(GaussianList) Method
IndexOfMaximumStochasticOp Class
IndexOfMaximumStochasticOp Members
IndexOfMaximumStochasticOp Methods
Buffers(GaussianList) Method
BuffersInit(GaussianList) Method
IndexOfMaximumDoubleAverageConditional(GaussianList) Method
listAverageConditional(GaussianList) Method
LogAverageFactor(GaussianList) Method
LogEvidenceRatio(GaussianList) Method
InnerProductOp Class
InnerProductOp Members
InnerProductOp Methods
AAverageConditional Method
AAverageConditional Method (Double, Vector, VectorGaussian)
AAverageConditional Method (Gaussian, Vector, VectorGaussian)
AAverageConditional Method (Gaussian, VectorGaussian, VectorGaussian, VectorGaussian)
AAverageLogarithm Method
AAverageLogarithm Method (Double, VectorGaussian, VectorGaussian)
AAverageLogarithm Method (Double, Vector, VectorGaussian)
AAverageLogarithm Method (Gaussian, Vector, VectorGaussian)
AAverageLogarithm Method (Gaussian, VectorGaussian, Vector, PositiveDefiniteMatrix, VectorGaussian)
AMean Method
AMeanInit Method
AVariance Method
AVarianceInit Method
AverageLogFactor Method
BAverageConditional Method
BAverageConditional Method (Double, Vector, VectorGaussian)
BAverageConditional Method (Gaussian, Vector, VectorGaussian)
BAverageConditional Method (Gaussian, VectorGaussian, VectorGaussian, VectorGaussian)
BAverageLogarithm Method
BAverageLogarithm Method (Double, VectorGaussian, VectorGaussian)
BAverageLogarithm Method (Double, Vector, VectorGaussian)
BAverageLogarithm Method (Gaussian, Vector, VectorGaussian)
BAverageLogarithm Method (Gaussian, VectorGaussian, Vector, PositiveDefiniteMatrix, VectorGaussian)
BMean Method
BMeanInit Method
BVariance Method
BVarianceInit Method
InnerProductAverageConditional Method
InnerProductAverageConditional Method (VectorGaussian, VectorGaussian)
InnerProductAverageConditional Method (Vector, PositiveDefiniteMatrix, Vector)
InnerProductAverageConditional Method (Vector, Vector, PositiveDefiniteMatrix)
InnerProductAverageConditionalInit Method
InnerProductAverageLogarithm Method
InnerProductAverageLogarithm Method (Vector, PositiveDefiniteMatrix, Vector)
InnerProductAverageLogarithm Method (Vector, Vector, PositiveDefiniteMatrix)
InnerProductAverageLogarithm Method (Vector, PositiveDefiniteMatrix, Vector, PositiveDefiniteMatrix)
InnerProductAverageLogarithmInit Method
LogAverageFactor Method
LogAverageFactor Method (Gaussian, Gaussian)
LogAverageFactor Method (Double, VectorGaussian, VectorGaussian)
LogAverageFactor Method (Gaussian, VectorGaussian, VectorGaussian)
LogAverageFactor Method (Double, Vector, PositiveDefiniteMatrix, Vector)
LogAverageFactor Method (Double, Vector, Vector, PositiveDefiniteMatrix)
LogEvidenceRatio Method
LogEvidenceRatio Method (Double, VectorGaussian, VectorGaussian)
LogEvidenceRatio Method (Gaussian, VectorGaussian, VectorGaussian)
LogEvidenceRatio Method (Gaussian, VectorGaussian, Vector)
LogEvidenceRatio Method (Gaussian, Vector, VectorGaussian)
LogEvidenceRatio Method (Double, Vector, PositiveDefiniteMatrix, Vector)
LogEvidenceRatio Method (Double, Vector, Vector, PositiveDefiniteMatrix)
InnerProductPartialCovarianceOp Class
InnerProductPartialCovarianceOp Members
InnerProductPartialCovarianceOp Methods
AAverageLogarithm Method
AverageLogFactor Method
BAverageLogarithm Method
CovarianceOfB Method
CovarianceOfBInit Method
Eaat Method
EaatInit Method
Ebbt Method
EbbtInit Method
MeanOfB Method
MeanOfBInit Method
XAverageLogarithm Method
XAverageLogarithmInit Method
IntCasesOp Class
IntCasesOp Members
IntCasesOp Methods
AverageLogFactor Method
CasesAverageConditional(BernoulliList) Method
CasesAverageConditionalInit Method
CasesAverageLogarithm(BernoulliList) Method
CasesAverageLogarithmInit Method
IAverageConditional Method
IAverageLogarithm Method
LogEvidenceRatio Method
LogEvidenceRatio Method (IList(Bernoulli), Discrete)
LogEvidenceRatio Method (IList(Bernoulli), Int32)
IntegerPlusOp Class
IntegerPlusOp Members
IntegerPlusOp Methods
AAverageConditional Method
AAverageConditional Method (Int32, Discrete, Discrete)
AAverageConditional Method (Int32, Int32, Discrete)
AAverageConditional Method (Discrete, Discrete, Discrete)
AAverageConditional Method (Discrete, Int32, Discrete)
BAverageConditional Method
BAverageConditional Method (Int32, Discrete, Discrete)
BAverageConditional Method (Int32, Int32, Discrete)
BAverageConditional Method (Discrete, Discrete, Discrete)
BAverageConditional Method (Discrete, Int32, Discrete)
LogAverageFactor Method
LogAverageFactor Method (Int32, Discrete, Discrete)
LogAverageFactor Method (Int32, Discrete, Int32)
LogAverageFactor Method (Int32, Int32, Discrete)
LogAverageFactor Method (Int32, Int32, Int32)
LogAverageFactor Method (Discrete, Discrete, Discrete)
LogAverageFactor Method (Discrete, Int32, Int32)
LogAverageFactor Method (Discrete, Int32, Discrete, Discrete)
LogEvidenceRatio Method
LogEvidenceRatio Method (Discrete)
LogEvidenceRatio Method (Int32, Discrete, Discrete)
LogEvidenceRatio Method (Int32, Discrete, Int32)
LogEvidenceRatio Method (Int32, Int32, Discrete)
LogEvidenceRatio Method (Int32, Int32, Int32)
SumAverageConditional Method
SumAverageConditional Method (Int32, Discrete, Discrete)
SumAverageConditional Method (Discrete, Discrete, Discrete)
SumAverageConditional Method (Discrete, Int32, Discrete)
SumAverageConditionalInit Method
SumAverageConditionalInit Method (Int32, Discrete)
SumAverageConditionalInit Method (Discrete, Discrete)
SumAverageConditionalInit Method (Discrete, Int32)
IsGreaterThanOp Class
IsGreaterThanOp Members
IsGreaterThanOp Methods
AAverageConditional Method
AAverageConditional Method (Boolean, Discrete, Discrete)
AAverageConditional Method (Boolean, Int32, Discrete)
AAverageConditional Method (Bernoulli, Discrete, Discrete)
AAverageConditional Method (Bernoulli, Int32, Discrete)
AAverageLogarithm Method
AAverageLogarithm Method (Boolean, Discrete, Discrete)
AAverageLogarithm Method (Boolean, Int32, Discrete)
AAverageLogarithm Method (Bernoulli, Discrete, Discrete)
AAverageLogarithm Method (Bernoulli, Int32, Discrete)
AverageLogFactor Method
AverageLogFactor Method (Boolean, Discrete, Discrete)
AverageLogFactor Method (Boolean, Discrete, Int32)
AverageLogFactor Method (Boolean, Int32, Discrete)
AverageLogFactor Method (Boolean, Int32, Int32)
AverageLogFactor Method (Bernoulli, Discrete, Discrete)
AverageLogFactor Method (Bernoulli, Discrete, Int32)
AverageLogFactor Method (Bernoulli, Int32, Discrete)
AverageLogFactor Method (Bernoulli, Int32, Int32)
BAverageConditional Method
BAverageConditional Method (Boolean, Discrete, Discrete)
BAverageConditional Method (Boolean, Int32, Discrete)
BAverageConditional Method (Bernoulli, Discrete, Discrete)
BAverageConditional Method (Bernoulli, Int32, Discrete)
BAverageLogarithm Method
BAverageLogarithm Method (Boolean, Discrete, Discrete)
BAverageLogarithm Method (Boolean, Int32, Discrete)
BAverageLogarithm Method (Bernoulli, Discrete, Discrete)
BAverageLogarithm Method (Bernoulli, Int32, Discrete)
IsGreaterThanAverageConditional Method
IsGreaterThanAverageConditional Method (Int32, Discrete)
IsGreaterThanAverageConditional Method (Discrete, Discrete)
IsGreaterThanAverageConditional Method (Discrete, Int32)
IsGreaterThanAverageLogarithm Method
IsGreaterThanAverageLogarithm Method (Int32, Discrete)
IsGreaterThanAverageLogarithm Method (Discrete, Discrete)
IsGreaterThanAverageLogarithm Method (Discrete, Int32)
LogAverageFactor Method
LogAverageFactor Method (Boolean, Discrete, Discrete)
LogAverageFactor Method (Boolean, Discrete, Int32)
LogAverageFactor Method (Boolean, Int32, Discrete)
LogAverageFactor Method (Boolean, Int32, Int32)
LogAverageFactor Method (Bernoulli, Discrete, Bernoulli)
LogAverageFactor Method (Bernoulli, Int32, Int32)
LogAverageFactor Method (Bernoulli, Int32, Discrete, Bernoulli)
LogEvidenceRatio Method
LogEvidenceRatio Method (Bernoulli)
LogEvidenceRatio Method (Boolean, Discrete, Discrete)
LogEvidenceRatio Method (Boolean, Discrete, Int32)
LogEvidenceRatio Method (Boolean, Int32, Discrete)
LogEvidenceRatio Method (Boolean, Int32, Int32)
IsPositiveOp Class
IsPositiveOp Members
IsPositiveOp Fields
ForceProper Field
IsPositiveOp Methods
AverageLogFactor Method
AverageLogFactor Method (Boolean, Double)
AverageLogFactor Method (Boolean, Gaussian, Gaussian)
AverageLogFactor Method (Bernoulli, Gaussian, Gaussian)
IsPositiveAverageConditional Method
IsPositiveAverageConditionalInit Method
IsPositiveAverageLogarithm Method
LogAverageFactor Method
LogAverageFactor Method (Boolean, Gaussian)
LogAverageFactor Method (Boolean, Double)
LogAverageFactor Method (Bernoulli, Gaussian)
LogEvidenceRatio Method
LogEvidenceRatio Method (Boolean, Gaussian)
LogEvidenceRatio Method (Boolean, Double)
LogEvidenceRatio Method (Bernoulli, Gaussian)
XAverageConditional Method
XAverageConditional Method (Boolean)
XAverageConditional Method (Bernoulli)
XAverageConditional Method (Boolean, Gaussian)
XAverageConditional Method (Bernoulli, Gaussian)
XAverageConditional Method (Bernoulli, Double)
XAverageConditionalInit Method
XAverageLogarithm Method
XAverageLogarithm Method (Boolean)
XAverageLogarithm Method (Boolean, Gaussian, Gaussian)
XAverageLogarithm Method (Bernoulli, Gaussian, Gaussian)
IsReturnedAttribute Class
IsReturnedAttribute Members
IsReturnedAttribute Constructor
IsReturnedAttribute Methods
ToString Method
IsReturnedInEveryElementAttribute Class
IsReturnedInEveryElementAttribute Members
IsReturnedInEveryElementAttribute Constructor
IsReturnedInEveryElementAttribute Methods
ToString Method
LinearOp Class
LinearOp Members
LinearOp Constructor
LinearOp Methods
AMaxConditional Method
BMaxConditional Method
LinearTruncOp Class
LinearTruncOp Members
LinearTruncOp Constructor
LinearTruncOp Methods
AMaxConditional Method
BMaxConditional Method
LogisticOp Class
LogisticOp Members
LogisticOp Constructor
LogisticOp Methods
AverageLogFactor Method
AverageLogFactor Method (Double, Double)
AverageLogFactor Method (Gaussian, Beta, Beta)
FalseMsg Method
FalseMsgInit Method
LogAverageFactor Method
LogAverageFactor Method (Double, Gaussian)
LogAverageFactor Method (Double, Double)
LogAverageFactor Method (Beta, Double)
LogAverageFactor Method (Beta, Gaussian, Gaussian)
LogEvidenceRatio Method
LogEvidenceRatio Method (Double, Gaussian)
LogEvidenceRatio Method (Double, Double)
LogEvidenceRatio Method (Beta, Gaussian, Gaussian, Beta)
LogisticAverageConditional Method
LogisticAverageConditionalInit Method
LogisticAverageLogarithm Method
XAverageConditional Method
XAverageConditional Method (Double)
XAverageConditional Method (Beta, Gaussian, Gaussian)
XAverageLogarithm Method
XAverageLogarithm Method (Double)
XAverageLogarithm Method (Beta, Gaussian, Gaussian)
LogisticOp_JJ96 Class
LogisticOp_JJ96 Members
LogisticOp_JJ96 Constructor
LogisticOp_JJ96 Methods
AverageLogFactor Method
LogisticAverageLogarithm Method
XAverageLogarithm Method
LogisticOp_SJ99 Class
LogisticOp_SJ99 Members
LogisticOp_SJ99 Constructor
LogisticOp_SJ99 Methods
A Method
AInit Method
AverageLogFactor Method
LogisticAverageLogarithm Method
LogisticInit Method
logSumExpBound Method
XAverageLogarithm Method
XInit Method
LogOp_EP Class
LogOp_EP Members
LogOp_EP Constructor
LogOp_EP Methods
AverageLogFactor Method
DAverageConditional Method
DAverageConditional Method (Double)
DAverageConditional Method (Gaussian, Gamma, Gaussian)
LogAverageConditional Method
LogAverageConditional Method (Double)
LogAverageConditional Method (Gaussian, Gamma, Gaussian)
LogAverageConditionalInit Method
LogAverageFactor Method
LogAverageFactor Method (Double, Gamma)
LogAverageFactor Method (Double, Double)
LogAverageFactor Method (Gaussian, Double)
LogAverageFactor Method (Gaussian, Gamma, Gaussian)
LogEvidenceRatio Method
LogEvidenceRatio Method (Double, Gamma)
LogEvidenceRatio Method (Double, Double)
LogEvidenceRatio Method (Gaussian, Gamma, Gaussian)
LogOp_VMP Class
LogOp_VMP Members
LogOp_VMP Constructor
LogOp_VMP Fields
damping Field
LogOp_VMP Methods
AverageLogFactor Method
DAverageLogarithm Method
DAverageLogarithm Method (Double)
DAverageLogarithm Method (Double, Gamma, Gamma)
DAverageLogarithm Method (Gaussian, Gamma, Gamma)
LogAverageLogarithm Method
LogAverageLogarithm Method (Double)
LogAverageLogarithm Method (Gaussian, Gamma, Gaussian)
LogAverageLogarithm Method (Gaussian, Double, Gaussian)
MatchingIndexAttribute Class
MatchingIndexAttribute Members
MatchingIndexAttribute Constructor
MatchingIndexTriggerAttribute Class
MatchingIndexTriggerAttribute Members
MatchingIndexTriggerAttribute Constructor
MatrixMultiplyOp Class
MatrixMultiplyOp Members
MatrixMultiplyOp Methods
AAverageConditional Method
AAverageConditional Method (Double[,], Double[,], (Gaussian, Double))
AAverageConditional Method ((Gaussian, Double), (Gaussian, Double), (Gaussian, Double))
AAverageConditional Method ((Gaussian, Double), (Gaussian, Double), Double[,], (Gaussian, Double))
AAverageLogarithm Method
AAverageLogarithm Method (Double[,])
AAverageLogarithm Method ((Gaussian, Double), (Gaussian, Double), (Gaussian, Double), (Gaussian, Double))
AAverageLogarithm Method ((Gaussian, Double), (Gaussian, Double), Double[,], (Gaussian, Double))
AverageLogFactor Method
AverageLogFactor Method
AverageLogFactor Method (Double[,], Double[,], Double[,])
BAverageConditional Method
BAverageConditional Method (Double[,], Double[,], (Gaussian, Double))
BAverageConditional Method ((Gaussian, Double), (Gaussian, Double), (Gaussian, Double))
BAverageConditional Method ((Gaussian, Double), Double[,], (Gaussian, Double), (Gaussian, Double))
BAverageLogarithm Method
BAverageLogarithm Method (Double[,])
BAverageLogarithm Method ((Gaussian, Double), (Gaussian, Double), (Gaussian, Double), (Gaussian, Double))
BAverageLogarithm Method ((Gaussian, Double), Double[,], (Gaussian, Double), (Gaussian, Double))
LogAverageFactor Method
LogAverageFactor Method (Double[,], (Gaussian, Double), Double[,])
LogAverageFactor Method (Double[,], Double[,], (Gaussian, Double))
LogAverageFactor Method (Double[,], Double[,], Double[,])
LogAverageFactor Method ((Gaussian, Double), (Gaussian, Double), Double[,])
LogAverageFactor Method ((Gaussian, Double), Double[,], (Gaussian, Double))
LogEvidenceRatio Method
LogEvidenceRatio Method (Double[,], (Gaussian, Double), Double[,])
LogEvidenceRatio Method (Double[,], Double[,], (Gaussian, Double))
LogEvidenceRatio Method (Double[,], Double[,], Double[,])
LogEvidenceRatio Method ((Gaussian, Double), (Gaussian, Double), Double[,])
LogEvidenceRatio Method ((Gaussian, Double), Double[,], (Gaussian, Double))
MatrixMultiplyAverageConditional Method
MatrixMultiplyAverageConditional Method (Double[,], (Gaussian, Double), (Gaussian, Double))
MatrixMultiplyAverageConditional Method ((Gaussian, Double), (Gaussian, Double), (Gaussian, Double))
MatrixMultiplyAverageConditional Method ((Gaussian, Double), Double[,], (Gaussian, Double))
MatrixMultiplyAverageLogarithm Method
MatrixMultiplyAverageLogarithm Method (Double[,], (Gaussian, Double), (Gaussian, Double))
MatrixMultiplyAverageLogarithm Method ((Gaussian), (Gaussian), (Gaussian, Double))
MatrixMultiplyAverageLogarithm Method ((Gaussian, Double), Double[,], (Gaussian, Double))
MatrixMultiplyAverageLogarithmInit Method
MatrixMultiplyAverageLogarithmInit Method (Double[,], (Gaussian))
MatrixMultiplyAverageLogarithmInit Method ((Gaussian), (Gaussian))
MatrixMultiplyAverageLogarithmInit Method ((Gaussian), Double[,])
MatrixVectorProductOp Class
MatrixVectorProductOp Members
MatrixVectorProductOp Methods
AverageLogFactor Method
AverageLogFactor Method (Vector, Matrix, Vector)
AverageLogFactor Method (VectorGaussian, Matrix, VectorGaussian)
AverageLogFactor Method (Vector, Matrix, VectorGaussian, Vector, PositiveDefiniteMatrix)
BAverageConditional Method
BAverageConditional Method (Vector, Matrix, VectorGaussian)
BAverageConditional Method (VectorGaussian, Matrix, VectorGaussian)
BAverageLogarithm Method
BAverageLogarithm Method (Vector, Matrix, VectorGaussian)
BAverageLogarithm Method (VectorGaussian, Matrix, VectorGaussian)
BMean Method
BMeanInit Method
BVariance Method
BVarianceInit Method
LogAverageFactor Method
LogAverageFactor Method (VectorGaussian, VectorGaussian)
LogAverageFactor Method (Vector, Matrix, Vector)
LogAverageFactor Method (Vector, Matrix, VectorGaussian, Vector, PositiveDefiniteMatrix)
LogEvidenceRatio Method
LogEvidenceRatio Method (Vector, Matrix, Vector)
LogEvidenceRatio Method (VectorGaussian, Matrix, VectorGaussian)
LogEvidenceRatio Method (Vector, Matrix, VectorGaussian, Vector, PositiveDefiniteMatrix)
ProductAverageConditional Method
ProductAverageConditionalInit Method
ProductAverageLogarithm Method
ProductAverageLogarithmInit Method
MaxGaussianOp Class
MaxGaussianOp Members
MaxGaussianOp Fields
ForceProper Field
MaxGaussianOp Methods
AAverageConditional Method
AAverageConditional Method (Double, Gaussian, Gaussian)
AAverageConditional Method (Double, Gaussian, Double)
AAverageConditional Method (Gaussian, Gaussian, Gaussian)
AAverageConditional Method (Gaussian, Gaussian, Double)
AverageLogFactor Method
BAverageConditional Method
BAverageConditional Method (Double, Gaussian, Gaussian)
BAverageConditional Method (Double, Double, Gaussian)
BAverageConditional Method (Gaussian, Gaussian, Gaussian)
BAverageConditional Method (Gaussian, Double, Gaussian)
LogAverageFactor Method
LogAverageFactor Method (Double, Gaussian, Gaussian)
LogAverageFactor Method (Double, Gaussian, Double)
LogAverageFactor Method (Double, Double, Gaussian)
LogAverageFactor Method (Double, Double, Double)
LogAverageFactor Method (Gaussian, Gaussian, Gaussian)
LogAverageFactor Method (Gaussian, Gaussian, Double)
LogAverageFactor Method (Gaussian, Double, Gaussian)
LogEvidenceRatio Method
LogEvidenceRatio Method (Double, Gaussian, Gaussian)
LogEvidenceRatio Method (Double, Gaussian, Double)
LogEvidenceRatio Method (Double, Double, Gaussian)
LogEvidenceRatio Method (Double, Double, Double)
LogEvidenceRatio Method (Gaussian, Gaussian, Gaussian)
LogEvidenceRatio Method (Gaussian, Gaussian, Double)
LogEvidenceRatio Method (Gaussian, Double, Gaussian)
MaxAverageConditional Method
MaxAverageConditional Method (Gaussian, Gaussian, Gaussian)
MaxAverageConditional Method (Gaussian, Gaussian, Double)
MaxAverageConditional Method (Gaussian, Double, Gaussian)
MaxAverageConditionalInit Method
MaxProductCopyOp(T) Class
MaxProductCopyOp(T) Members
MaxProductCopyOp(T) Constructor
MaxProductCopyOp(T) Methods
CopyMaxConditional(TDist) Method
ValueMaxConditional(TDist) Method
MultinomialOp Class
MultinomialOp Members
MultinomialOp Methods
AverageLogFactor Method
AverageLogFactor Method (IList(Int32), Int32, IList(Double))
AverageLogFactor Method (IList(Int32), Int32, Dirichlet, Vector)
LogAverageFactor Method
LogAverageFactor Method (IList(Int32), Int32, Dirichlet)
LogAverageFactor Method (IList(Int32), Int32, IList(Double))
LogEvidenceRatio Method
LogEvidenceRatio Method (IList(Discrete))
LogEvidenceRatio Method (IList(Int32), Int32, Dirichlet)
LogEvidenceRatio Method (IList(Int32), Int32, IList(Double))
MeanLog Method
PAverageConditional Method
PAverageLogarithm Method
MultiplyAllAttribute Class
MultiplyAllAttribute Members
MultiplyAllAttribute Constructor
NonconjugateUsesEqualDefOp Class
NonconjugateUsesEqualDefOp Members
NonconjugateUsesEqualDefOp Methods
MarginalAverageLogarithm Method
MarginalAverageLogarithm Method ((NonconjugateGaussian, Double)[], (Gaussian, Double), (Gaussian, Double))
MarginalAverageLogarithm Method (NonconjugateGaussian[], Gaussian, Gaussian)
UsesAverageLogarithm Method
UsesAverageLogarithm Method ((NonconjugateGaussian, Double)[], (Gaussian, Double), (Gaussian, Double))
UsesAverageLogarithm Method (NonconjugateGaussian[], Gaussian, Gaussian)
NotSupportedAttribute Class
NotSupportedAttribute Members
NotSupportedAttribute Constructor
NotSupportedAttribute Fields
Message Field
OffsetCopyOp(T) Class
OffsetCopyOp(T) Members
OffsetCopyOp(T) Methods
AverageLogFactor Method
InputAverageConditional Method
InputAverageConditional(TDist, TInput) Method (TInput, TDist)
InputAverageConditional(TDist) Method (TDist, T, TDist)
InputAverageLogarithm Method
InputAverageLogarithm(TDist, TInput) Method (TInput, TDist)
InputAverageLogarithm(TDist) Method (TDist, T, TDist)
LogAverageFactor Method
LogEvidenceRatio Method
LogEvidenceRatio(TDist) Method (TDist)
LogEvidenceRatio(TDist) Method (T, TDist)
OutputAverageConditional(TDist, TOutput) Method
OutputAverageLogarithm(TDist, TOutput) Method
ParameterNamesAttribute Class
ParameterNamesAttribute Members
ParameterNamesAttribute Constructor
ParameterNamesAttribute Fields
Names Field
PoissonOp Class
PoissonOp Members
PoissonOp Methods
AverageLogFactor Method
AverageLogFactor Method (Int32, Gamma)
AverageLogFactor Method (Int32, Double)
AverageLogFactor Method (Poisson, Gamma)
AverageLogFactor Method (Poisson, Double)
LogAverageFactor Method
LogAverageFactor Method (Int32, Double)
LogAverageFactor Method (Poisson, Poisson)
LogAverageFactor Method (Int32, Gamma, Gamma)
LogEvidenceRatio Method
LogEvidenceRatio Method (Poisson)
LogEvidenceRatio Method (Int32, Double)
LogEvidenceRatio Method (Int32, Gamma, Gamma)
MeanAverageConditional Method
MeanAverageConditional Method (Int32)
MeanAverageConditional Method (Poisson)
MeanAverageLogarithm Method
MeanAverageLogarithm Method (Int32)
MeanAverageLogarithm Method (Poisson)
SampleAverageConditional Method
SampleAverageConditional Method (Double)
SampleAverageConditional Method (Gamma)
SampleAverageLogarithm Method
SampleAverageLogarithm Method (Double)
SampleAverageLogarithm Method (Gamma)
PositiveOp Class
PositiveOp Members
PositiveOp Methods
AverageLogFactor Method
AverageLogFactor Method (Double)
AverageLogFactor Method (TruncatedGaussian)
AverageLogFactor Method (Gaussian, Gaussian)
LogAverageFactor Method
LogAverageFactor Method (Double)
LogAverageFactor Method (Gaussian)
LogEvidenceRatio Method
LogEvidenceRatio Method (Double)
LogEvidenceRatio Method (Gaussian)
XAverageConditional Method
XAverageConditional Method
XAverageConditional Method (Gaussian)
XAverageConditionalInit Method
XAverageLogarithm Method
XAverageLogarithm Method
XAverageLogarithm Method (Gaussian, Gaussian)
PottsBoolOp Class
PottsBoolOp Members
PottsBoolOp Constructor
PottsBoolOp Methods
AMaxConditional Method
BMaxConditional Method
PottsIntOp Class
PottsIntOp Members
PottsIntOp Constructor
PottsIntOp Methods
AMaxConditional Method
BMaxConditional Method
PowerPlate Class
PowerPlate Members
PowerPlate Methods
Enter(T) Method
PowerPlateOp Class
PowerPlateOp Members
PowerPlateOp Methods
AverageLogFactor Method
EnterAverageConditional(T) Method
EnterAverageConditionalInit(T) Method
EnterAverageLogarithm(T) Method
LogEvidenceRatio Method
ValueAverageConditional(T) Method
ValueAverageLogarithm(T) Method
ProductExpOp Class
ProductExpOp Members
ProductExpOp Methods
AAverageLogarithm Method
AAverageLogarithm Method (Double, Gaussian)
AAverageLogarithm Method (Gaussian, Gaussian)
BAverageLogarithm Method
BAverageLogarithm Method (Double, Gaussian)
BAverageLogarithm Method (Double, Double)
BAverageLogarithm Method (Gaussian, Gaussian, Gaussian, Gaussian)
BAverageLogarithm Method (Gaussian, Gaussian, Gaussian, NonconjugateGaussian, NonconjugateGaussian)
BAverageLogarithm Method (Gaussian, Double, Gaussian, NonconjugateGaussian, NonconjugateGaussian)
ProductExpAverageLogarithm Method
ProductExpAverageLogarithm Method (Double, Gaussian)
ProductExpAverageLogarithm Method (Gaussian, Gaussian)
ProductGaussianBetaVmpOp Class
ProductGaussianBetaVmpOp Members
ProductGaussianBetaVmpOp Fields
damping Field
ProductGaussianBetaVmpOp Methods
AAverageLogarithm Method
AAverageLogarithm Method (Double, Beta)
AAverageLogarithm Method (Gaussian, Beta)
BAverageLogarithm Method
BAverageLogarithm Method (Double, Gaussian)
BAverageLogarithm Method (Double, Double)
BAverageLogarithm Method (Gaussian, Gaussian, Beta, Beta)
BAverageLogarithm Method (Gaussian, Double, Beta, Beta)
ProductAverageLogarithm Method
ProductAverageLogarithm Method (Double, Beta)
ProductAverageLogarithm Method (Gaussian, Beta)
ProductGaussianGammaVmpOp Class
ProductGaussianGammaVmpOp Members
ProductGaussianGammaVmpOp Methods
AAverageLogarithm Method
AAverageLogarithm Method (Double, Gamma)
AAverageLogarithm Method (Gaussian, Gamma)
BAverageLogarithm Method
BAverageLogarithm Method (Double, Gaussian)
BAverageLogarithm Method (Double, Double)
BAverageLogarithm Method (Gaussian, Gaussian, Gamma, Gamma)
BAverageLogarithm Method (Gaussian, Double, Gamma, Gamma)
ProductAverageLogarithm Method
ProductOfLogisticsSoftmaxOp Class
ProductOfLogisticsSoftmaxOp Members
ProductOfLogisticsSoftmaxOp Methods
AverageLogFactor(GaussianList) Method
SoftmaxAverageLogarithm(GaussianList) Method
XAverageLogarithm Method
XAverageLogarithm(GaussianList) Method (IList(Double), IList(Gaussian), GaussianList)
XAverageLogarithm(GaussianList) Method (Dirichlet, GaussianList, GaussianList)
Proper Class
Proper Members
Proper Constructor
Replicate2BufferOp Class
Replicate2BufferOp Members
Replicate2BufferOp Methods
Marginal(T) Method
MarginalInit(T) Method
UsesAverageConditional Method
UsesAverageConditional(T) Method (IList(T), T, T, Int32, T)
UsesAverageConditional(T) Method (T[], T, T, Int32, T)
UsesAverageConditionalInit(T, ArrayType) Method
ReplicateBufferOp Class
ReplicateBufferOp Members
ReplicateBufferOp Methods
UsesAverageConditional Method
UsesAverageConditional(T) Method (IList(T), T, T, Int32, T)
UsesAverageConditional(T) Method (T[], T, T, Int32, T)
ReplicateExitingOp Class
ReplicateExitingOp Members
ReplicateExitingOp Methods
AverageLogFactor Method
DefAverageLogarithm(T) Method
UsesAverageLogarithm(T) Method
UsesAverageLogarithmInit(T) Method
ReplicateGibbsOp Class
ReplicateGibbsOp Members
ReplicateGibbsOp Methods
DefGibbs Method
DefGibbs(TDist, T) Method ((TDist, T), T)
DefGibbs(TDist, T) Method (IList(TDist), TDist)
DefGibbs(TDist, T) Method (TDist[], TDist)
GibbsEvidence(TDist, T) Method
LogEvidenceRatio(TDist, T) Method
MarginalGibbs Method
MarginalGibbs(TDist, T) Method (T, (TDist, T))
MarginalGibbs(TDist, T) Method (T[], (TDist, T))
MarginalGibbs(TDist, T) Method (IList(TDist), TDist, (TDist, T))
MarginalGibbsInit(TDist, T) Method
UsesGibbs Method
UsesGibbs(T) Method (T, Int32, T)
UsesGibbs(TDist, T) Method ((TDist, T), TDist, Int32, T)
ReplicateGibbsOp2 Class
ReplicateGibbsOp2 Members
ReplicateGibbsOp2 Methods
Conditional Method
Conditional(TDist, T) Method (T, TDist)
Conditional(TDist) Method (IList(TDist), TDist, TDist)
ConditionalAcc(TDist) Method
ConditionalAccInit(TDist) Method
ConditionalInit(TDist) Method
ConditionalsGibbs(TDist, TDistList) Method
DefGibbs Method
DefGibbs(TDist, T) Method (IList(TDist), TDist)
DefGibbs(TDist, T) Method (TDist, T)
GibbsEvidence(TDist, T) Method
MarginalEstimator(TDist, TAcc) Method
MarginalEstimatorInit(TDist, T) Method
MarginalGibbs(TDist) Method
Sample(TDist, T) Method
SampleAcc(T) Method
SampleAccInit(T) Method
SamplesGibbs(T, TList) Method
UsesGibbs Method
UsesGibbs(T) Method (T, Int32, T)
UsesGibbs(TDist, T) Method (ICollection(TDist), TDist, Int32, TDist)
UsesGibbs(TDist, T) Method (TDist, T, Int32, T)
UsesGibbsInit(T) Method
ReplicateMaxOp Class
ReplicateMaxOp Members
ReplicateMaxOp Methods
DefMaxConditional(T) Method
MarginalMaxConditional(T) Method
UsesMaxConditional(T) Method
UsesMaxConditionalInit(T) Method
ReplicateOp Class
ReplicateOp Members
ReplicateOp Methods
AverageLogFactor Method
DefAverageConditional Method
DefAverageConditional(T) Method (IList(T), T)
DefAverageConditional(T) Method (T[], T)
DefAverageLogarithm Method
DefAverageLogarithm(T) Method (IList(T), T)
DefAverageLogarithm(T) Method (T[], T)
LogAverageFactor Method
LogEvidenceRatio(T) Method
MarginalAverageConditional Method
MarginalAverageConditional(T) Method (IList(T), T, T)
MarginalAverageConditional(T) Method (T[], T, T)
MarginalAverageLogarithm(T, TDef) Method
UsesAverageConditional Method
UsesAverageConditional(T) Method (IList(T), T, Int32, T)
UsesAverageConditional(T) Method (T[], T, Int32, T)
UsesAverageLogarithm Method
UsesAverageLogarithm(T, TDef) Method (TDef, T)
UsesAverageLogarithm(T, TDef) Method (TDef, Int32, T)
UsesDeriv(T) Method
UsesInit(T, ArrayType) Method
ReturnsCompositeArrayAttribute Class
ReturnsCompositeArrayAttribute Members
ReturnsCompositeArrayAttribute Constructor
RotateOp Class
RotateOp Members
RotateOp Methods
AngleAverageLogarithm Method
AngleAverageLogarithm Method (VectorGaussian, Gaussian, Gaussian)
AngleAverageLogarithm Method (VectorGaussian, Double, Double)
AverageLogFactor Method
RotateAverageLogarithm Method
RotateAverageLogarithm Method (Double, Double, WrappedGaussian, VectorGaussian)
RotateAverageLogarithm Method (Gaussian, Gaussian, WrappedGaussian, VectorGaussian)
RotateAverageLogarithm Method (Gaussian, Gaussian, Double, VectorGaussian)
RotateAverageLogarithmInit Method
XAverageLogarithm Method
XAverageLogarithm Method (VectorGaussian, WrappedGaussian)
XAverageLogarithm Method (VectorGaussian, Double)
YAverageLogarithm Method
YAverageLogarithm Method (VectorGaussian, WrappedGaussian)
YAverageLogarithm Method (VectorGaussian, Double)
SaulJordanSoftmaxOp_LBFGS Class
SaulJordanSoftmaxOp_LBFGS Members
SaulJordanSoftmaxOp_LBFGS Methods
A Method
AInit Method
AverageLogFactor(GaussianList) Method
GradientAndValueAtPoint Method
SoftmaxAverageLogarithm(GaussianList) Method
SoftmaxAverageLogarithmInit Method
XAverageLogarithm(GaussianList) Method
SaulJordanSoftmaxOp_LBFGS_Sparse Class
SaulJordanSoftmaxOp_LBFGS_Sparse Members
SaulJordanSoftmaxOp_LBFGS_Sparse Methods
A Method
AInit Method
AverageLogFactor(GaussianList) Method
GradientAndValueAtPoint Method
SoftmaxAverageLogarithm(GaussianList) Method
XAverageLogarithm(GaussianList) Method
SaulJordanSoftmaxOp_NCVMP Class
SaulJordanSoftmaxOp_NCVMP Members
SaulJordanSoftmaxOp_NCVMP Fields
globalstep Field
useBounds Field
SaulJordanSoftmaxOp_NCVMP Methods
A Method
AInit Method
AverageLogFactor(GaussianList) Method
History Method
HistoryInit Method
SoftmaxAverageLogarithm(GaussianList) Method
SoftmaxAverageLogarithmInit Method
XAverageLogarithm(GaussianList) Method
SaulJordanSoftmaxOp_NCVMP_Sparse Class
SaulJordanSoftmaxOp_NCVMP_Sparse Members
SaulJordanSoftmaxOp_NCVMP_Sparse Fields
global_step Field
SaulJordanSoftmaxOp_NCVMP_Sparse Methods
A Method
AInit Method
AverageLogFactor(GaussianList) Method
logSumExpFull Method
SoftmaxAverageLogarithm(GaussianList) Method
XAverageLogarithm(GaussianList) Method
SaulJordanVectorSoftmaxOp_NCVMP Class
SaulJordanVectorSoftmaxOp_NCVMP Members
SaulJordanVectorSoftmaxOp_NCVMP Methods
A Method
AInit Method
AverageLogFactor Method
SoftmaxAverageLogarithm Method
SoftmaxAverageLogarithmInit Method
VectorGaussianToGaussianList Method
XAverageLogarithm Method
ShiftAlpha Class
ShiftAlpha Members
ShiftAlpha Methods
FromFactor(T) Method
ToFactor(T) Method
ShiftAlphaFromFactorOp Class
ShiftAlphaFromFactorOp Members
ShiftAlphaFromFactorOp Methods
FactorAverageConditional(T) Method
LogEvidenceRatioOld(T) Method
VariableAverageConditional(T) Method
ShiftAlphaToFactorOp Class
ShiftAlphaToFactorOp Members
ShiftAlphaToFactorOp Methods
FactorAverageConditional(T) Method
LogEvidenceRatioOld(T) Method
VariableAverageConditional(T) Method
SimpleCopy Class
SimpleCopy Members
SimpleCopy Constructor
SimpleCopy Methods
Copy(T) Method
CopyToAllElements Method
CopyToAllElements(T, T2) Method (T, T2)
CopyToAllElements(T) Method (T[], T)
SkipAttribute Class
SkipAttribute Members
SkipAttribute Constructor
SkipIfAllExceptIndexAreUniformAttribute Class
SkipIfAllExceptIndexAreUniformAttribute Members
SkipIfAllExceptIndexAreUniformAttribute Constructor
SkipIfAllUniformAttribute Class
SkipIfAllUniformAttribute Members
SkipIfAllUniformAttribute Constructor
SkipIfAllUniformAttribute Constructor
SkipIfAllUniformAttribute Constructor (String[])
SkipIfAllUniformAttribute Fields
ParameterNames Field
SkipIfAnyExceptIndexIsUniformAttribute Class
SkipIfAnyExceptIndexIsUniformAttribute Members
SkipIfAnyExceptIndexIsUniformAttribute Constructor
SkipIfAnyUniformAttribute Class
SkipIfAnyUniformAttribute Members
SkipIfAnyUniformAttribute Constructor
SkipIfMatchingIndexIsUniformAttribute Class
SkipIfMatchingIndexIsUniformAttribute Members
SkipIfMatchingIndexIsUniformAttribute Constructor
SkipIfUniformAttribute Class
SkipIfUniformAttribute Members
SkipIfUniformAttribute Constructor
SparseBernoulliFromBetaOp Class
SparseBernoulliFromBetaOp Members
SparseBernoulliFromBetaOp Constructor
SparseBernoulliFromBetaOp Methods
AverageLogFactor Method
AverageLogFactor Method (IList(Boolean), SparseBetaList, SparseVector)
AverageLogFactor Method (IList(Boolean), SparseVector, SparseVector)
AverageLogFactor Method (SparseBernoulliListBase, SparseBetaList, SparseVector, SparseVector)
AverageLogFactor Method (SparseBernoulliListBase, SparseVector, SparseVector, SparseVector)
MeanLog Method
MeanLogOneMinus Method
ProbsTrueAverageLogarithm Method
ProbsTrueAverageLogarithm Method (IList(Boolean))
ProbsTrueAverageLogarithm Method (SparseBernoulliListBase)
SampleAverageLogarithm Method
SampleAverageLogarithm Method (SparseBetaList)
SampleAverageLogarithm Method (SparseVector)
SparseGaussianListOp Class
SparseGaussianListOp Members
SparseGaussianListOp Methods
AverageLogFactor Method
AverageLogFactor Method (IList(Double), SparseGaussianList, SparseGammaList)
AverageLogFactor Method (IList(Double), SparseGaussianList, IList(Double))
AverageLogFactor Method (IList(Double), IList(Double), SparseGammaList)
AverageLogFactor Method (IList(Double), IList(Double), IList(Double))
AverageLogFactor Method (SparseGaussianList, SparseGaussianList, SparseGammaList)
AverageLogFactor Method (SparseGaussianList, SparseGaussianList, IList(Double))
AverageLogFactor Method (SparseGaussianList, IList(Double), SparseGammaList)
AverageLogFactor Method (SparseGaussianList, IList(Double), IList(Double))
LogAverageFactor Method
LogAverageFactor Method (IList(Double), SparseGaussianList, SparseGammaList)
LogAverageFactor Method (IList(Double), SparseGaussianList, IList(Double))
LogAverageFactor Method (IList(Double), IList(Double), SparseGammaList)
LogAverageFactor Method (IList(Double), IList(Double), IList(Double))
LogAverageFactor Method (SparseGaussianList, SparseGaussianList, SparseGammaList)
LogAverageFactor Method (SparseGaussianList, SparseGaussianList, IList(Double))
LogAverageFactor Method (SparseGaussianList, IList(Double), SparseGammaList)
LogAverageFactor Method (SparseGaussianList, IList(Double), IList(Double))
LogEvidenceRatio Method
LogEvidenceRatio Method (IList(Double), SparseGaussianList, SparseGammaList)
LogEvidenceRatio Method (IList(Double), SparseGaussianList, IList(Double))
LogEvidenceRatio Method (IList(Double), IList(Double), SparseGammaList)
LogEvidenceRatio Method (IList(Double), IList(Double), IList(Double))
LogEvidenceRatio Method (SparseGaussianList, SparseGaussianList, IList(Double))
LogEvidenceRatio Method (SparseGaussianList, IList(Double), IList(Double))
LogEvidenceRatio Method (SparseGaussianList, SparseGaussianList, SparseGammaList, SparseGaussianList)
LogEvidenceRatio Method (SparseGaussianList, IList(Double), SparseGammaList, SparseGaussianList)
MeanAverageConditional Method
MeanAverageConditional Method (IList(Double), IList(Double), SparseGaussianList)
MeanAverageConditional Method (SparseGaussianList, IList(Double), SparseGaussianList)
MeanAverageConditional Method (IList(Double), SparseGaussianList, SparseGammaList, SparseGaussianList)
MeanAverageConditional Method (SparseGaussianList, SparseGaussianList, SparseGammaList, SparseGaussianList)
MeanAverageLogarithm Method
MeanAverageLogarithm Method (IList(Double), SparseGammaList, SparseGaussianList)
MeanAverageLogarithm Method (IList(Double), IList(Double), SparseGaussianList)
MeanAverageLogarithm Method (SparseGaussianList, SparseGammaList, SparseGaussianList)
MeanAverageLogarithm Method (SparseGaussianList, IList(Double), SparseGaussianList)
PrecisionAverageConditional Method
PrecisionAverageConditional Method (IList(Double), IList(Double), SparseGammaList)
PrecisionAverageConditional Method (IList(Double), SparseGaussianList, SparseGammaList, SparseGammaList)
PrecisionAverageConditional Method (SparseGaussianList, SparseGaussianList, SparseGammaList, SparseGammaList)
PrecisionAverageConditional Method (SparseGaussianList, IList(Double), SparseGammaList, SparseGammaList)
PrecisionAverageLogarithm Method
PrecisionAverageLogarithm Method (IList(Double), SparseGaussianList, SparseGammaList)
PrecisionAverageLogarithm Method (IList(Double), IList(Double), SparseGammaList)
PrecisionAverageLogarithm Method (SparseGaussianList, SparseGaussianList, SparseGammaList)
PrecisionAverageLogarithm Method (SparseGaussianList, IList(Double), SparseGammaList)
SampleAverageConditional Method
SampleAverageConditional Method (IList(Double), IList(Double), SparseGaussianList)
SampleAverageConditional Method (SparseGaussianList, IList(Double), SparseGaussianList)
SampleAverageConditional Method (SparseGaussianList, SparseGaussianList, SparseGammaList, SparseGaussianList)
SampleAverageConditional Method (SparseGaussianList, IList(Double), SparseGammaList, SparseGaussianList)
SampleAverageConditionalInit Method
SampleAverageConditionalInit Method (IList(Double))
SampleAverageConditionalInit Method (SparseGaussianList)
SampleAverageLogarithm Method
SampleAverageLogarithm Method (IList(Double), SparseGammaList, SparseGaussianList)
SampleAverageLogarithm Method (IList(Double), IList(Double), SparseGaussianList)
SampleAverageLogarithm Method (SparseGaussianList, SparseGammaList, SparseGaussianList)
SampleAverageLogarithm Method (SparseGaussianList, IList(Double), SparseGaussianList)
SampleAverageLogarithmInit Method
SampleAverageLogarithmInit Method (IList(Double))
SampleAverageLogarithmInit Method (SparseGaussianList)
SparseGPOp Class
SparseGPOp Members
SparseGPOp Methods
AverageLogFactor Method
FuncAverageConditional Method
FuncAverageConditional Method (Double, SparseGP, Vector, SparseGP)
FuncAverageConditional Method (Gaussian, SparseGP, Vector, SparseGP)
LogAverageFactor Method
LogAverageFactor Method (Double, IFunction, Vector)
LogAverageFactor Method (Double, SparseGP, Vector)
LogEvidenceRatio Method
LogEvidenceRatio Method (Gaussian)
LogEvidenceRatio Method (Double, IFunction, Vector)
LogEvidenceRatio Method (Double, SparseGP, Vector)
YAverageConditional Method
SubarrayOp(T) Class
SubarrayOp(T) Members
SubarrayOp(T) Methods
ArrayAverageConditional Method
ArrayAverageConditional(DistributionType, ArrayType) Method (IList(DistributionType), IList(Int32), ArrayType)
ArrayAverageConditional(DistributionType, ArrayType) Method (IList(T), IList(Int32), ArrayType)
ArrayAverageLogarithm Method
ArrayAverageLogarithm(DistributionType, ArrayType) Method (IList(DistributionType), IList(Int32), ArrayType)
ArrayAverageLogarithm(DistributionType, ArrayType) Method (IList(T), IList(Int32), ArrayType)
AverageLogFactor Method
ItemsAverageConditional(DistributionType, ResultType) Method
ItemsAverageConditionalInit Method
ItemsAverageConditionalInit(TDist) Method ((TDist, T), IList(Int32))
ItemsAverageConditionalInit(TDist) Method ((TDist, T), IList(Int32))
ItemsAverageLogarithm(DistributionType, ResultType) Method
ItemsAverageLogarithmInit Method
ItemsAverageLogarithmInit(TDist) Method ((TDist, T), IList(Int32))
ItemsAverageLogarithmInit(TDist) Method ((TDist, T), IList(Int32))
ItemsDeriv(ResultType) Method
LogAverageFactor Method
LogAverageFactor(DistributionType) Method (IList(DistributionType), IList(DistributionType), IList(Int32))
LogAverageFactor(DistributionType) Method (IList(DistributionType), IList(T), IList(Int32))
LogAverageFactor(DistributionType) Method (IList(T), IList(DistributionType), IList(Int32))
LogAverageFactor Method (IList(T), IList(T), IList(Int32))
LogEvidenceRatio Method
LogEvidenceRatio(DistributionType) Method (IList(DistributionType))
LogEvidenceRatio(DistributionType) Method (IList(T), IList(DistributionType), IList(Int32))
LogEvidenceRatio Method (IList(T), IList(T), IList(Int32))
SubvectorOp Class
SubvectorOp Members
SubvectorOp Methods
AverageLogFactor Method
AverageLogFactor Method
AverageLogFactor Method (Vector, Vector, Int32)
LogAverageFactor Method
LogAverageFactor Method (VectorGaussian, VectorGaussian)
LogAverageFactor Method (Vector, Vector, Int32)
LogAverageFactor Method (Vector, Vector, PositiveDefiniteMatrix, Int32)
LogEvidenceRatio Method
LogEvidenceRatio Method (VectorGaussian)
LogEvidenceRatio Method (Vector, Vector, Int32)
LogEvidenceRatio Method (Vector, Vector, PositiveDefiniteMatrix, Int32)
SourceAverageConditional Method
SourceAverageConditional Method (Vector, Int32, VectorGaussian)
SourceAverageConditional Method (VectorGaussian, Int32, VectorGaussian)
SourceAverageLogarithm Method
SourceAverageLogarithm Method (Vector, Int32, VectorGaussian)
SourceAverageLogarithm Method (VectorGaussian, Int32, VectorGaussian)
SourceMean Method
SourceMeanInit Method
SourceVariance Method
SourceVarianceInit Method
SubvectorAverageConditional Method
SubvectorAverageConditionalInit Method
SubvectorAverageLogarithm Method
SubvectorAverageLogarithmInit Method
SumWhereOp Class
SumWhereOp Members
SumWhereOp Methods
AAverageLogarithm Method
AAverageLogarithm Method (Double, (Bernoulli, Boolean), VectorGaussian)
AAverageLogarithm Method (Double, (Bernoulli, Boolean), Vector)
AAverageLogarithm Method (Gaussian, (Bernoulli, Boolean), Vector, (Bernoulli, Boolean))
AAverageLogarithm Method (Gaussian, (Bernoulli, Boolean), VectorGaussian, Vector, PositiveDefiniteMatrix, (Bernoulli, Boolean))
AverageLogFactor Method
AverageLogFactor Method
AverageLogFactor Method (Double, Boolean[], Vector)
BAverageConditional Method
BAverageConditional Method (Double, Boolean[], VectorGaussian)
BAverageConditional Method (Gaussian, Boolean[], VectorGaussian)
BAverageLogarithm Method
BAverageLogarithm Method (Double, Boolean[], VectorGaussian)
BAverageLogarithm Method (Gaussian, (Bernoulli, Boolean), VectorGaussian)
BAverageLogarithm Method (Gaussian, Boolean[], VectorGaussian)
CovarianceOfB Method
LogAverageFactor Method
LogAverageFactor Method (Gaussian, Gaussian)
LogAverageFactor Method (Double, Boolean[], Vector)
LogAverageFactor Method (Gaussian, Boolean[], Vector)
LogAverageFactor Method (Double, Boolean[], VectorGaussian, Vector, PositiveDefiniteMatrix)
LogEvidenceRatio Method
MeanOfB Method
SumAverageConditional Method
SumAverageConditionalInit Method
SumAverageLogarithm Method
SumAverageLogarithm Method (Boolean[], Vector)
SumAverageLogarithm Method ((Bernoulli, Boolean), Vector)
SumAverageLogarithm Method (Boolean[], VectorGaussian, Vector, PositiveDefiniteMatrix)
SumAverageLogarithm Method ((Bernoulli, Boolean), VectorGaussian, Vector, PositiveDefiniteMatrix)
SumAverageLogarithmInit Method
UnaryOp(DomainType) Class
UnaryOp(DomainType) Members
UnaryOp(DomainType) Methods
AverageLogFactor Method
AverageLogFactor(T) Method (DomainType, T)
AverageLogFactor(T) Method (T, T)
LogAverageFactor Method
LogAverageFactor(T) Method (DomainType, T)
LogAverageFactor(T) Method (T, T)
LogEvidenceRatio Method
LogEvidenceRatio(T) Method (DomainType, T)
LogEvidenceRatio(T) Method (T, T)
RandomAverageConditional(T) Method
RandomAverageLogarithm(T) Method
RandomMaxConditional Method
RandomMaxConditional Method (Bernoulli)
RandomMaxConditional Method (Discrete)
Undirected Class
Undirected Members
Undirected Constructor
Undirected Methods
Linear Method
LinearTrunc Method
Potts Method
Potts Method (Boolean, Boolean, Double)
Potts Method (Int32, Int32, Double)
UsesEqualDefGibbsOp Class
UsesEqualDefGibbsOp Members
UsesEqualDefGibbsOp Methods
DefGibbs Method
DefGibbs(TDist, T) Method ((TDist, T), T)
DefGibbs(TDist, T) Method (IList(TDist), TDist)
GibbsEvidence(TDist, T) Method
MarginalGibbs Method
MarginalGibbs(TDist, T) Method (IList(T), TDist, (TDist, T))
MarginalGibbs(TDist, T) Method (IList(TDist), T, (TDist, T))
MarginalGibbs(TDist, T) Method (IList(TDist), TDist, (TDist, T))
MarginalGibbsInit(TDist, T) Method
UsesGibbs Method
UsesGibbs(TDist, T) Method ((TDist, T), Int32, T)
UsesGibbs(TDist, T) Method (ICollection(TDist), TDist, Int32, TDist)
UsesGibbsInit(T, ArrayType) Method
UsesEqualDefGibbsOp2 Class
UsesEqualDefGibbsOp2 Members
UsesEqualDefGibbsOp2 Methods
Conditional(TDist) Method
ConditionalAcc(TDist) Method
ConditionalAccInit(TDist) Method
ConditionalInit(TDist) Method
ConditionalsGibbs(TDist, TDistList) Method
DefGibbs Method
DefGibbs(TDist, T) Method (IList(TDist), TDist)
DefGibbs(TDist, T) Method (TDist, T)
GibbsEvidence(TDist, T) Method
MarginalEstimator(TDist, TAcc) Method
MarginalEstimatorInit(TDist, T) Method
MarginalGibbs(TDist) Method
Sample(TDist, T) Method
SampleAcc(T) Method
SampleAccInit(T) Method
SamplesGibbs(T, TList) Method
UsesGibbs Method
UsesGibbs(TDist, T) Method (ICollection(TDist), TDist, Int32, TDist)
UsesGibbs(TDist, T) Method (TDist, T, Int32, T)
UsesGibbsInit(T) Method
UsesEqualDefMaxOp Class
UsesEqualDefMaxOp Members
UsesEqualDefMaxOp Methods
DefMaxConditional(T) Method
MarginalMaxConditional(T) Method
UsesMaxConditional(T) Method
UsesEqualDefOp Class
UsesEqualDefOp Members
UsesEqualDefOp Methods
DefAverageConditional(T) Method
LogEvidenceRatio(T) Method
LogEvidenceRatio1(T) Method
MarginalAverageConditional Method
MarginalAverageConditional(T) Method (IList(T), T, T)
MarginalAverageConditional(T) Method (T[], T, T)
UsesAverageConditional Method
UsesAverageConditional(T) Method (IList(T), T, Int32, T)
UsesAverageConditional(T) Method (T[], T, Int32, T)
UsesEqualDefVmpBufferOp Class
UsesEqualDefVmpBufferOp Members
UsesEqualDefVmpBufferOp Methods
DefAverageLogarithm(T) Method
MarginalAverageLogarithm(T) Method
UsesAverageLogarithm(T) Method
UsesEqualDefVmpOp Class
UsesEqualDefVmpOp Members
UsesEqualDefVmpOp Methods
AverageLogFactor(T) Method
DefAverageLogarithm(T) Method
MarginalAverageLogarithm(T) Method
UsesAverageLogarithm(T) Method
VariableGibbsOp Class
VariableGibbsOp Members
VariableGibbsOp Methods
DefGibbs Method
DefGibbs(TDist, T) Method ((TDist, T), T)
DefGibbs(TDist, T) Method (TDist, TDist)
GibbsEvidence(TDist, T) Method
MarginalGibbs Method
MarginalGibbs(TDist, T) Method (T, TDist, (TDist, T))
MarginalGibbs(TDist, T) Method (TDist, TDist, (TDist, T))
UseGibbs Method
UseGibbs(TDist, T) Method ((TDist, T), T)
UseGibbs(TDist, T) Method (TDist, TDist)
VariableInitOp Class
VariableMaxOp Class
VariableMaxOp Members
VariableMaxOp Methods
DefMaxConditional(T) Method
MarginalMaxConditional(T) Method
MarginalMaxConditionalInit(T) Method
UseMaxConditional(T) Method
UseMaxConditionalInit(T) Method
VariableOp Class
VariableOp Members
VariableOp Methods
DefAverageConditional(T) Method
LogEvidenceRatio Method
MarginalAverageConditional(T) Method
MarginalAverageConditionalInit(T) Method
UseAverageConditional(T) Method
VariableVmpOp Class
VariableVmpOp Members
VariableVmpOp Methods
AverageLogFactor(T) Method
DefAverageLogarithm(T) Method
MarginalAverageLogarithm(T) Method
MarginalAverageLogarithmInit(T) Method
UseAverageLogarithm(T) Method
UseAverageLogarithmInit(T) Method
VectorElementOp Class
VectorElementOp Members
VectorElementOp Methods
ArrayAverageConditional Method
ArrayAverageConditional Method (Double, Int32, VectorGaussian)
ArrayAverageConditional Method (Gaussian, Int32, VectorGaussian)
ArrayAverageLogarithm Method
ArrayAverageLogarithm Method (Double, Int32, VectorGaussian)
ArrayAverageLogarithm Method (Gaussian, Int32, VectorGaussian)
ArrayMean Method
ArrayMeanInit Method
ArrayVariance Method
ArrayVarianceInit Method
AverageLogFactor Method
AverageLogFactor Method (Gaussian, VectorGaussian)
AverageLogFactor Method (Double, VectorGaussian, Vector, PositiveDefiniteMatrix, Int32)
ItemAverageConditional Method
ItemAverageConditionalInit Method
ItemAverageLogarithm Method
ItemAverageLogarithmInit Method
LogAverageFactor Method
LogEvidenceRatio Method
VectorFromArrayOp Class
VectorFromArrayOp Members
VectorFromArrayOp Methods
ArrayAverageConditional Method
ArrayAverageConditional(GaussianList) Method (Vector, GaussianList)
ArrayAverageConditional(GaussianList) Method (VectorGaussian, IList(Gaussian), VectorGaussian, GaussianList)
ArrayAverageLogarithm Method
ArrayAverageLogarithm(GaussianList) Method (Vector, GaussianList)
ArrayAverageLogarithm(GaussianList) Method (VectorGaussian, IList(Gaussian), GaussianList)
AverageLogFactor Method
LogAverageFactor Method
LogAverageFactor Method (Vector, IList(Gaussian))
LogAverageFactor Method (Vector, Double[])
LogAverageFactor Method (VectorGaussian, VectorGaussian)
LogEvidenceRatio Method
LogEvidenceRatio Method (VectorGaussian)
LogEvidenceRatio Method (Vector, IList(Gaussian))
LogEvidenceRatio Method (Vector, Double[])
VectorAverageConditional Method
VectorAverageConditionalInit Method
VectorAverageLogarithm Method
VectorAverageLogarithmInit Method
VectorGaussianFromMeanAndVarianceOp Class
VectorGaussianFromMeanAndVarianceOp Members
VectorGaussianFromMeanAndVarianceOp Methods
AverageLogFactor Method
LogAverageFactor Method
LogAverageFactor Method (VectorGaussian, VectorGaussian)
LogAverageFactor Method (Vector, Vector, PositiveDefiniteMatrix)
LogEvidenceRatio Method
LogEvidenceRatio Method (Vector, VectorGaussian, PositiveDefiniteMatrix)
LogEvidenceRatio Method (Vector, Vector, PositiveDefiniteMatrix)
LogEvidenceRatio Method (VectorGaussian, Vector, PositiveDefiniteMatrix)
MeanAverageConditional Method
MeanAverageLogarithm Method
SampleAverageConditional Method
SampleAverageLogarithm Method
VectorGaussianOp Class
VectorGaussianOp Members
VectorGaussianOp Methods
AverageLogFactor Method
AverageLogFactor Method (Vector, Vector, PositiveDefiniteMatrix)
AverageLogFactor Method (Vector, VectorGaussian, Vector, PositiveDefiniteMatrix, PositiveDefiniteMatrix)
AverageLogFactor Method (Vector, Vector, Wishart, PositiveDefiniteMatrix, Double)
AverageLogFactor Method (VectorGaussian, Vector, PositiveDefiniteMatrix, Vector, PositiveDefiniteMatrix)
AverageLogFactor Method (Vector, VectorGaussian, Vector, PositiveDefiniteMatrix, Wishart, PositiveDefiniteMatrix, Double)
AverageLogFactor Method (VectorGaussian, Vector, PositiveDefiniteMatrix, VectorGaussian, Vector, PositiveDefiniteMatrix, PositiveDefiniteMatrix)
AverageLogFactor Method (VectorGaussian, Vector, PositiveDefiniteMatrix, Vector, Wishart, PositiveDefiniteMatrix, Double)
AverageLogFactor Method (VectorGaussian, Vector, PositiveDefiniteMatrix, VectorGaussian, Vector, PositiveDefiniteMatrix, Wishart, PositiveDefiniteMatrix, Double)
LogAverageFactor Method
LogAverageFactor Method (Vector, Vector, PositiveDefiniteMatrix)
LogAverageFactor Method (Vector, Vector, PositiveDefiniteMatrix, PositiveDefiniteMatrix)
LogAverageFactor Method (Vector, PositiveDefiniteMatrix, Vector, PositiveDefiniteMatrix, PositiveDefiniteMatrix)
LogEvidenceRatio Method
LogEvidenceRatio Method (Vector, Vector, PositiveDefiniteMatrix)
LogEvidenceRatio Method (VectorGaussian, VectorGaussian, PositiveDefiniteMatrix)
LogEvidenceRatio Method (VectorGaussian, Vector, PositiveDefiniteMatrix)
LogEvidenceRatio Method (Vector, Vector, PositiveDefiniteMatrix, PositiveDefiniteMatrix)
MeanAverageConditional Method
MeanAverageConditional Method (Vector, PositiveDefiniteMatrix, VectorGaussian)
MeanAverageConditional Method (VectorGaussian, PositiveDefiniteMatrix, VectorGaussian)
MeanAverageLogarithm Method
MeanAverageLogarithm Method (Vector, PositiveDefiniteMatrix, VectorGaussian)
MeanAverageLogarithm Method (Vector, Wishart, PositiveDefiniteMatrix, VectorGaussian)
MeanAverageLogarithm Method (VectorGaussian, Vector, PositiveDefiniteMatrix, VectorGaussian)
MeanAverageLogarithm Method (VectorGaussian, Vector, Wishart, PositiveDefiniteMatrix, VectorGaussian)
MeanConditional Method
MeanMean Method
MeanMeanInit Method
MeanVariance Method
MeanVarianceInit Method
PrecisionAverageConditional Method
PrecisionAverageLogarithm Method
PrecisionAverageLogarithm Method (Vector, Vector, Wishart)
PrecisionAverageLogarithm Method (Vector, VectorGaussian, Vector, PositiveDefiniteMatrix, Wishart)
PrecisionAverageLogarithm Method (VectorGaussian, Vector, PositiveDefiniteMatrix, Vector, Wishart)
PrecisionAverageLogarithm Method (VectorGaussian, Vector, PositiveDefiniteMatrix, VectorGaussian, Vector, PositiveDefiniteMatrix, Wishart)
PrecisionConditional Method
PrecisionConditional Method (Vector, Vector, Wishart)
PrecisionConditional Method (Vector, Vector, Wishart, Vector)
PrecisionMean Method
PrecisionMeanInit Method
PrecisionMeanLogDet Method
SampleAverageConditional Method
SampleAverageConditional Method (Vector, PositiveDefiniteMatrix, VectorGaussian)
SampleAverageConditional Method (VectorGaussian, PositiveDefiniteMatrix, VectorGaussian)
SampleAverageConditionalInit Method
SampleAverageConditionalInit Method (Vector)
SampleAverageConditionalInit Method (VectorGaussian)
SampleAverageLogarithm Method
SampleAverageLogarithm Method (Vector, PositiveDefiniteMatrix, VectorGaussian)
SampleAverageLogarithm Method (Vector, Wishart, PositiveDefiniteMatrix, VectorGaussian)
SampleAverageLogarithm Method (VectorGaussian, Vector, PositiveDefiniteMatrix, VectorGaussian)
SampleAverageLogarithm Method (VectorGaussian, Vector, Wishart, PositiveDefiniteMatrix, VectorGaussian)
SampleAverageLogarithmInit Method
SampleAverageLogarithmInit Method (Vector)
SampleAverageLogarithmInit Method (VectorGaussian)
SampleConditional Method
SampleMean Method
SampleMeanInit Method
SampleVariance Method
SampleVarianceInit Method
WishartFromShapeAndScaleOp Class
WishartFromShapeAndScaleOp Members
WishartFromShapeAndScaleOp Methods
AverageLogFactor Method
LogAverageFactor Method
LogAverageFactor Method (Wishart, Wishart)
LogAverageFactor Method (PositiveDefiniteMatrix, Double, PositiveDefiniteMatrix)
LogEvidenceRatio Method
SampleAverageConditional Method
SampleAverageLogarithm Method
WrappedGaussianProductOp Class
WrappedGaussianProductOp Members
WrappedGaussianProductOp Methods
AAverageConditional Method
AAverageConditional Method (Double, Double, WrappedGaussian)
AAverageConditional Method (WrappedGaussian, Double, WrappedGaussian)
AAverageLogarithm Method
AAverageLogarithm Method (Double, Double, WrappedGaussian)
AAverageLogarithm Method (WrappedGaussian, Double, WrappedGaussian)
AverageLogFactor Method
BAverageConditional Method
BAverageLogarithm Method
ProductAverageLogarithm Method
ProductAverageLogarithm Method (Double, WrappedGaussian, WrappedGaussian)
ProductAverageLogarithm Method (WrappedGaussian, Double, WrappedGaussian)
MicrosoftResearch.Infer.Maths Namespace
AllZeroException Class
AllZeroException Members
AllZeroException Constructor
AllZeroException Constructor
AllZeroException Constructor (String)
ApproximateSparseVector Class
ApproximateSparseVector Members
ApproximateSparseVector Methods
ICloneable.Clone Method
Append Method
Append Method (Double)
Append Method (Vector)
Clone Method
Constant Method
Constant Method (Int32, Double)
Constant Method (Int32, Double, Sparsity)
Contains Method
Copy Method
FromArray Method
FromArray Method (Double[])
FromArray Method (Int32, Double[], Int32)
FromSparseValues Method
IndexOf Method
MaxDiff Method
MaxDiff Method (Vector)
MaxDiff Method (Vector, Double)
Scale Method
SetSubvector Method
SetTo Method
SetTo Method (IEnumerable(Double))
SetTo Method (Double[])
SetTo Method (ApproximateSparseVector)
SetTo Method (Vector)
SetTo Method (IList(Double), Double)
SetToDiagonal Method
SetToFunction Method
SetToFunction Method (SparseVector, Converter(Double, Double))
SetToFunction Method (SparseVector, SparseVector, Func(Double, Double, Double))
SetToFunctionInPlace Method
SetToSubarray Method
SetToSubvector Method
Subvector Method
ToString Method
Zero Method
Zero Method (Int32)
Zero Method (Int32, Sparsity)
ApproximateSparseVector Properties
CountTolerance Property
IsApproximate Property
IsDense Property
Item Property
Tolerance Property
BFGS Class
BFGS Members
BFGS Constructor
BFGS Fields
convergenceCriteria Field
debug Field
lineSearch Field
BFGS Methods
Run Method
SetWolfeConstants Method
BFGS Properties
Cancel Property
Epsilon Property
InitialStep Property
IterationsPerformed Property
linesearchDebug Property
MaximumIterations Property
MaximumStep Property
BFGS Events
OnIteration Event
BFGS.ConvergenceCriteria Enumeration
CanSetAllElementsTo(T) Interface
CanSetAllElementsTo(T) Members
CanSetAllElementsTo(T) Methods
SetAllElementsTo Method
DenseVector Class
DenseVector Members
DenseVector Methods
ICloneable.Clone Method
All Method
Any Method
Append Method
Append Method (Double)
Append Method (DenseVector)
Append Method (Vector)
Clone Method
Constant Method
Contains Method
Copy Method
CopyTo Method
CreateSourceArray Method
EqualsAll Method
FromArray Method
FromArray Method (Double[])
FromArray Method (Int32, Double[], Int32)
FromArrayReference Method
GetEnumerator Method
GreaterThan Method
GreaterThan Method (Double)
GreaterThan Method (DenseVector)
GreaterThan Method (Vector)
GreaterThanOrEqual Method
GreaterThanOrEqual Method (Double)
GreaterThanOrEqual Method (DenseVector)
GreaterThanOrEqual Method (Vector)
IndexOf Method
IndexOfAll Method
IndexOfMaximum Method
IndexOfMinimum Method
Inner Method
Inner Method (DenseVector)
Inner Method (Vector)
Inner Method (DenseVector, Converter(Double, Double))
Inner Method (Vector, Converter(Double, Double))
Inner Method (Converter(Double, Double), DenseVector, Converter(Double, Double))
Inner Method (Converter(Double, Double), Vector, Converter(Double, Double))
LessThan Method
LessThan Method (Double)
LessThan Method (DenseVector)
LessThan Method (Vector)
LessThanOrEqual Method
LessThanOrEqual Method (Double)
LessThanOrEqual Method (DenseVector)
LessThanOrEqual Method (Vector)
LogSumExp Method
Max Method
Max Method
Max Method (Converter(Double, Double))
MaxDiff Method
MaxDiff Method (DenseVector)
MaxDiff Method (Vector)
MaxDiff Method (DenseVector, Double)
MaxDiff Method (Vector, Double)
Median Method
Min Method
Min Method
Min Method (Converter(Double, Double))
Outer Method
Outer Method (DenseVector)
Outer Method (Vector)
PredivideBy Method
PredivideBy Method (LowerTriangularMatrix)
PredivideBy Method (PositiveDefiniteMatrix)
PredivideBy Method (UpperTriangularMatrix)
PredivideByTranspose Method
Reduce Method
Reduce Method (Double, Func(Double, Double, Double))
Reduce Method (Double, DenseVector, Func(Double, Double, Double, Double))
Reduce Method (Double, Vector, Func(Double, Double, Double, Double))
Reduce Method (Double, Vector, Vector, Func(Double, Double, Double, Double, Double))
ReferenceClone Method
Scale Method
SetAllElementsTo Method
SetSubvector Method
SetSubvector Method (Int32, DenseVector)
SetSubvector Method (Int32, Vector)
SetTo Method
SetTo Method (IEnumerable(Double))
SetTo Method (Double[])
SetTo Method (DenseVector)
SetTo Method (Vector)
SetToDiagonal Method
SetToDifference Method
SetToDifference Method (Double, DenseVector)
SetToDifference Method (Double, Vector)
SetToDifference Method (DenseVector, DenseVector)
SetToDifference Method (DenseVector, Double)
SetToDifference Method (Vector, Vector)
SetToDifference Method (Vector, Double)
SetToFunction Method
SetToFunction Method (DenseVector, Converter(Double, Double))
SetToFunction Method (Vector, Converter(Double, Double))
SetToFunction Method (DenseVector, DenseVector, Func(Double, Double, Double))
SetToFunction Method (Vector, Vector, Func(Double, Double, Double))
SetToPower Method
SetToPower Method (DenseVector, Double)
SetToPower Method (Vector, Double)
SetToProduct Method
SetToProduct Method (DenseVector, DenseVector)
SetToProduct Method (DenseVector, Matrix)
SetToProduct Method (DenseVector, Double)
SetToProduct Method (Matrix, DenseVector)
SetToProduct Method (Matrix, Vector)
SetToProduct Method (Vector, Matrix)
SetToProduct Method (Vector, Vector)
SetToProduct Method (Vector, Double)
SetToRatio Method
SetToRatio Method (DenseVector, DenseVector)
SetToRatio Method (Vector, Vector)
SetToSubarray Method
SetToSubvector Method
SetToSubvector Method (DenseVector, Int32)
SetToSubvector Method (Vector, Int32)
SetToSum Method
SetToSum Method (DenseVector, DenseVector)
SetToSum Method (DenseVector, Double)
SetToSum Method (Vector, Vector)
SetToSum Method (Vector, Double)
SetToSum Method (Double, DenseVector, Double, DenseVector)
SetToSum Method (Double, Vector, Double, Vector)
Subvector Method
Sum Method
Sum Method
Sum Method (Converter(Double, Double))
Sum Method (Converter(Double, Double), DenseVector, Converter(Double, Boolean))
Sum Method (Converter(Double, Double), Vector, Converter(Double, Boolean))
SumI Method
SumISq Method
ToArray Method
Zero Method
DenseVector Properties
Count Property
IsReadOnly Property
Item Property
SourceArray Property
Start Property
DerivativeChecker Class
DerivativeChecker Members
DerivativeChecker Methods
CheckDerivatives Method
Diffable Interface
Diffable Members
Diffable Methods
MaxDiff Method
FunctionEval Delegate
IterationEventHandler Delegate
LBFGS Class
LBFGS Members
LBFGS Constructor
LBFGS Methods
Run Method
LBFGS Properties
ApproximationDimension Property
LBFGSArray Class
LBFGSArray Members
LBFGSArray Constructor
LBFGSArray Methods
Run Method
LBFGSArray.FunctionEvalArray Delegate
LineSearch Class
LineSearch Members
LineSearch Constructor
LineSearch Methods
Run Method
SetWolfeConstants Method
LineSearch Properties
ExtrapolationMultiplier Property
InterpolationTolerance Property
MaximumZoomIterations Property
Phi Property
LineSearchEval Delegate
LowerTriangularMatrix Class
LowerTriangularMatrix Members
LowerTriangularMatrix Constructor
LowerTriangularMatrix Constructor (Double[,])
LowerTriangularMatrix Constructor (Int32, Int32)
LowerTriangularMatrix Constructor (Int32, Int32, Double[])
LowerTriangularMatrix Methods
Clone Method
Determinant Method
Inverse Method
LogDeterminant Method
ProdDiag Method
SetToCholesky Method
SetToInverse Method
TraceLn Method
Transpose Method
LuDecomposition Class
LuDecomposition Members
LuDecomposition Constructor
LuDecomposition Constructor (Matrix)
LuDecomposition Constructor (Int32, Int32)
LuDecomposition Fields
LU Field
LuDecomposition Methods
Decompose Method
Decompose Method
Decompose Method (Matrix)
Determinant Method
InPlace Method
Solve Method
Matrix Class
Matrix Members
Matrix Constructor
Matrix Constructor (Double[,])
Matrix Constructor (Matrix)
Matrix Constructor (Int32, Int32)
Matrix Constructor (Int32, Int32, Double[])
Matrix Methods
ICollection(Double).Add Method
ICollection(Double).Clear Method
IEnumerable.GetEnumerator Method
IList(Double).Insert Method
ICollection(Double).Remove Method
IList(Double).RemoveAt Method
Clone Method
Contains Method
CopyTo Method
CopyTo Method (Double[,])
CopyTo Method (Double[], Int32)
Determinant Method
Diagonal Method
DiagonalOfProduct Method
EnumerateDiagonal Method
EqualsAll Method
GetColumn Method
GetEnumerator Method
GetRow Method
Identity Method
IdentityScaledBy Method
IndexOf Method
Inner Method
Inverse Method
IsPositiveDefinite Method
MaxDiff Method
MaxDiff Method (Matrix)
MaxDiff Method (Matrix, Double)
Median Method
Outer Method
OuterTranspose Method
PredivideBy Method
PredivideBy Method (LowerTriangularMatrix)
PredivideBy Method (UpperTriangularMatrix)
PredivideByTranspose Method
QuadraticForm Method
QuadraticForm Method (Vector)
QuadraticForm Method (Vector, Vector)
RowVector Method
Scale Method
ScaleCols Method
ScaleRows Method
SetAllElementsTo Method
SetDiagonal Method
SetSubmatrix Method
SetSubmatrix Method (Int32, Int32, Matrix)
SetSubmatrix Method (Int32, Int32, Matrix, Int32, Int32, Int32, Int32)
SetTo Method
SetTo Method (Double[,])
SetTo Method (Double[])
SetTo Method (Matrix)
SetTo Method (Double[], Int32)
SetToDiagonal Method
SetToDifference Method
SetToDifference Method (Matrix, Matrix)
SetToDifference Method (Matrix, Double, Matrix)
SetToElementwiseProduct Method
SetToElementwiseRatio Method
SetToIdentity Method
SetToIdentityScaledBy Method
SetToOuter Method
SetToOuter Method (Matrix)
SetToOuter Method (Vector, Vector)
SetToOuterTranspose Method
SetToProduct Method
SetToProduct Method (Matrix, Matrix)
SetToProduct Method (Matrix, Double)
SetToSubmatrix Method
SetToSum Method
SetToSum Method (Matrix, Matrix)
SetToSum Method (Double, Matrix, Double, Matrix)
SetToSumWithOuter Method
SetToTranspose Method
SymmetryError Method
ToArray Method
Trace Method
TraceOfProduct Method
Transpose Method
Matrix Operators
Addition Operator
Equality Operator
Inequality Operator
Multiply Operator
Multiply Operator (Matrix, Matrix)
Multiply Operator (Matrix, Vector)
Multiply Operator (Matrix, Double)
Multiply Operator (Vector, Matrix)
Subtraction Operator
UnaryNegation Operator
Matrix Properties
ICollection(Double).IsReadOnly Property
Cols Property
Count Property
Item Property
Item Property (Int32)
Item Property (Int32, Int32)
Rows Property
SourceArray Property
MatrixMeanVarianceAccumulator Class
MatrixMeanVarianceAccumulator Members
MatrixMeanVarianceAccumulator Constructor
MatrixMeanVarianceAccumulator Fields
Count Field
Mean Field
Variance Field
MatrixMeanVarianceAccumulator Methods
Add Method
Add Method (Matrix)
Add Method (Matrix, Double)
Add Method (Matrix, PositiveDefiniteMatrix, Double)
Clear Method
Clone Method
SetTo Method
MatrixMeanVarianceAccumulator Properties
Cols Property
Rows Property
MatrixSingularException Class
MatrixSingularException Members
MatrixSingularException Constructor
MatrixSingularException Properties
Offender Property
MeanVarianceAccumulator Class
MeanVarianceAccumulator Members
MeanVarianceAccumulator Constructor
MeanVarianceAccumulator Fields
Count Field
Mean Field
Variance Field
MeanVarianceAccumulator Methods
Add Method
Add Method (Double)
Add Method (Double, Double)
Add Method (Double, Double, Double)
Clear Method
Clone Method
SetTo Method
MMath Class
MMath Members
MMath Fields
Digamma1 Field
EulerGamma Field
InvSqrt2PI Field
Ln2 Field
LnPI Field
LnSqrt2PI Field
Sqrt2 Field
Sqrt2PI Field
SqrtHalf Field
Zeta2 Field
MMath Methods
AbsDiff Method
AbsDiff Method (Double, Double)
AbsDiff Method (Double, Double, Double)
ChooseLn Method
ChooseLn Method (Double, Double)
ChooseLn Method (Double, Double[])
DiffLogSumExp Method
Digamma Method
Erfc Method
ErfcInv Method
ExpMinus1 Method
Gamma Method
GammaLn Method
GammaLn Method (Double)
GammaLn Method (Double, Double)
IndexOfMaximum(T) Method
IndexOfMaximumDouble Method
IndexOfMinimum(T) Method
Log1MinusExp Method
Log1Plus Method
Log1PlusExp Method
Log1PlusExpGaussian Method
LogExpMinus1 Method
Logistic Method
LogisticGaussian Method
LogisticGaussianDerivative Method
LogisticGaussianDerivative2 Method
LogisticLn Method
Logit Method
LogitFromLog Method
LogSumExp Method
LogSumExp Method (IEnumerable(Double))
LogSumExp Method (Double, Double)
LogSumExpSparse Method
Max Method
Median Method
Median Method (Double[])
Median Method (Double[], Int32, Int32)
Min Method
NormalCdf Method
NormalCdf Method (Double)
NormalCdf Method (Double, Double, Double)
NormalCdfInv Method
NormalCdfLn Method
NormalCdfLn Method (Double)
NormalCdfLn Method (Double, Double, Double)
NormalCdfLogit Method
NormalCdfMomentRatio Method
NormalCdfRatio Method
RemoveNaNs Method
Softmax Method
Tetragamma Method
Trigamma Method
OptimiserIterationEventArgs Class
OptimiserIterationEventArgs Members
OptimiserIterationEventArgs Constructor
OptimiserIterationEventArgs Fields
iteration Field
objVal Field
rmsDeriv Field
PositiveDefiniteMatrix Class
PositiveDefiniteMatrix Members
PositiveDefiniteMatrix Constructor
PositiveDefiniteMatrix Constructor (Double[,])
PositiveDefiniteMatrix Constructor (Matrix)
PositiveDefiniteMatrix Constructor (Int32, Int32)
PositiveDefiniteMatrix Constructor (Int32, Int32, Double[])
PositiveDefiniteMatrix Methods
Clone Method
Determinant Method
Identity Method
IdentityScaledBy Method
Inverse Method
LogDeterminant Method
LogDeterminant Method (Boolean)
LogDeterminant Method (LowerTriangularMatrix, Boolean)
SetToInverse Method
SetToInverse Method (PositiveDefiniteMatrix)
SetToInverse Method (PositiveDefiniteMatrix, LowerTriangularMatrix)
SetToSum Method
PositiveDefiniteMatrix Operators
Addition Operator
PositiveDefiniteMatrixException Class
PositiveDefiniteMatrixException Members
PositiveDefiniteMatrixException Constructor
Quadrature Class
Quadrature Members
Quadrature Fields
HermiteNodesAndWeights Field
LaguerreNodesAndWeights Field
LegendreNodesAndWeights Field
Quadrature Methods
AdaptiveClenshawCurtis Method
GammaNodesAndWeights Method
GaussianNodesAndWeights Method
UniformNodesAndWeights Method
Rand Class
Rand Members
Rand Methods
Beta Method
Binomial Method
Dirichlet Method
Double Method
Gamma Method
Int Method
Int Method
Int Method (Int32)
Int Method (Int32, Int32)
Multinomial Method
Multinomial Method (Int32, DenseVector)
Multinomial Method (Int32, Vector)
Normal Method
Normal Method
Normal Method (Double, Double)
Normal Method (Vector, PositiveDefiniteMatrix, Vector)
NormalBetween Method
NormalChol Method
NormalGreaterThan Method
NormalP Method
NormalPChol Method
Perm Method
Poisson Method
Restart Method
Sample Method
Sample Method (Vector)
Sample Method (IList(Double), Double)
Sample Method (Vector, Double)
Wishart Method
SettableTo(T) Interface
SettableTo(T) Members
SettableTo(T) Methods
SetTo Method
SettableToPower(T) Interface
SettableToPower(T) Members
SettableToPower(T) Methods
SetToPower Method
SettableToProduct(T) Interface
SettableToProduct(T, U) Interface
SettableToProduct(T, U) Members
SettableToProduct(T, U) Methods
SetToProduct Method
SettableToRatio(T) Interface
SettableToRatio(T, U) Interface
SettableToRatio(T, U) Members
SettableToRatio(T, U) Methods
SetToRatio Method
SettableToWeightedSum(T) Interface
SettableToWeightedSum(T) Members
SettableToWeightedSum(T) Methods
SetToSum Method
SparseVector Class
SparseVector Members
SparseVector Methods
ICloneable.Clone Method
IEnumerable.GetEnumerator Method
Add Method
All Method
Any Method
Append Method
Append Method (Double)
Append Method (Vector)
AsSparseVector Method
Clear Method
Clone Method
Constant Method
Contains Method
Copy Method
CopyTo Method
EqualsAll Method
FromArray Method
FromArray Method (Double[])
FromArray Method (Int32, Double[], Int32)
FromSparseValues Method
GetEnumerator Method
GetFirstCommonIndex Method
GetSparseEnumerator Method
GreaterThan Method
GreaterThan Method (Double)
GreaterThan Method (Vector)
GreaterThanOrEqual Method
GreaterThanOrEqual Method (Double)
GreaterThanOrEqual Method (Vector)
IndexOf Method
IndexOfAll Method
IndexOfMaximum Method
IndexOfMinimum Method
Inner Method
Inner Method (SparseVector)
Inner Method (Vector)
Inner Method (SparseVector, Converter(Double, Double))
Inner Method (Vector, Converter(Double, Double))
Inner Method (Converter(Double, Double), SparseVector, Converter(Double, Double))
Inner Method (Converter(Double, Double), Vector, Converter(Double, Double))
LessThan Method
LessThan Method (Double)
LessThan Method (Vector)
LessThanOrEqual Method
LessThanOrEqual Method (Double)
LessThanOrEqual Method (Vector)
LogSumExp Method
Max Method
Max Method
Max Method (Converter(Double, Double))
MaxDiff Method
MaxDiff Method (Vector)
MaxDiff Method (Vector, Double)
Median Method
Min Method
Min Method
Min Method (Converter(Double, Double))
Outer Method
Outer Method (SparseVector)
Outer Method (Vector)
PredivideBy Method
PredivideBy Method (LowerTriangularMatrix)
PredivideBy Method (PositiveDefiniteMatrix)
PredivideBy Method (UpperTriangularMatrix)
PredivideByTranspose Method
Reduce Method
Reduce Method (Double, Func(Double, Double, Double))
Reduce Method (Double, SparseVector, Func(Double, Double, Double, Double))
Reduce Method (Double, Vector, Func(Double, Double, Double, Double))
Reduce(TRes) Method (TRes, Func(TRes, Double, TRes), Func(TRes, Double, Int32, TRes))
Reduce Method (Double, SparseVector, SparseVector, Func(Double, Double, Double, Double, Double))
Reduce(TRes, T1) Method (TRes, ISparseEnumerable(T1), Func(TRes, Double, T1, TRes), Func(TRes, Double, T1, Int32, TRes))
Reduce(TRes, T1, T2) Method (TRes, ISparseEnumerable(T1), ISparseEnumerable(T2), Func(TRes, Double, T1, T2, TRes), Func(TRes, Double, T1, T2, Int32, TRes))
Remove Method
Scale Method
SetAllElementsTo Method
SetSubvector Method
SetTo Method
SetTo Method (IEnumerable(Double))
SetTo Method (IList(Double))
SetTo Method (Double[])
SetTo Method (SparseVector)
SetTo Method (Vector)
SetTo Method (IList(Double), Double)
SetToDiagonal Method
SetToDifference Method
SetToDifference Method (Double, Vector)
SetToDifference Method (Vector, Vector)
SetToDifference Method (Vector, Double)
SetToFunction Method
SetToFunction Method (SparseVector, Converter(Double, Double))
SetToFunction Method (Vector, Converter(Double, Double))
SetToFunction Method (SparseVector, SparseVector, Func(Double, Double, Double))
SetToFunction Method (Vector, Vector, Func(Double, Double, Double))
SetToFunctionInPlace Method
SetToPower Method
SetToProduct Method
SetToProduct Method (Matrix, Vector)
SetToProduct Method (Vector, Matrix)
SetToProduct Method (Vector, Vector)
SetToProduct Method (Vector, Double)
SetToRatio Method
SetToSubarray Method
SetToSubvector Method
SetToSubvector Method (SparseVector, Int32)
SetToSubvector Method (Vector, Int32)
SetToSum Method
SetToSum Method (Vector, Vector)
SetToSum Method (Vector, Double)
SetToSum Method (Double, Vector, Double, Vector)
Subvector Method
Sum Method
Sum Method
Sum Method (Converter(Double, Double))
Sum Method (Converter(Double, Double), SparseVector, Converter(Double, Boolean))
Sum Method (Converter(Double, Double), Vector, Converter(Double, Boolean))
SumI Method
SumISq Method
ToArray Method
ToString Method
ToString Method (String)
ToString Method (String, String)
ToVector Method
Zero Method
SparseVector Properties
CommonValue Property
Count Property
HasCommonElements Property
IsDense Property
IsReadOnly Property
Item Property
SparseCount Property
SparseValues Property
Sparsity Class
Sparsity Members
Sparsity Methods
ApproximateWithTolerance Method
Equals Method
FromSpec Method
GetHashCode Method
ToString Method
Sparsity Operators
Equality Operator
Inequality Operator
Sparsity Properties
CountTolerance Property
Dense Property
IsApproximate Property
IsDense Property
IsExact Property
IsSparse Property
Sparse Property
Tolerance Property
UpperTriangularMatrix Class
UpperTriangularMatrix Members
UpperTriangularMatrix Constructor
UpperTriangularMatrix Constructor (Double[,])
UpperTriangularMatrix Constructor (Int32, Int32)
UpperTriangularMatrix Constructor (Int32, Int32, Double[])
UpperTriangularMatrix Methods
Clone Method
Determinant Method
LogDeterminant Method
ProdDiag Method
TraceLn Method
Transpose Method
TransposeInPlace Method
Vector Class
Vector Members
Vector Constructor
Vector Constructor (Double[])
Vector Constructor (Int32)
Vector Constructor (Vector)
Vector Constructor (Int32, Double)
Vector Constructor (Int32, Double[], Int32)
Vector Methods
ICollection(Double).Add Method
ICollection(Double).Clear Method
ICloneable.Clone Method
IEnumerable.GetEnumerator Method
IList(Double).Insert Method
ICollection(Double).Remove Method
IList(Double).RemoveAt Method
All Method
Any Method
Append Method
Append Method (Double)
Append Method (Vector)
Clone Method
Concat Method
Constant Method
Constant Method (Int32, Double)
Constant Method (Int32, Double, Sparsity)
Contains Method
Copy Method
Copy Method (Vector)
Copy Method (Vector, Sparsity)
CopyTo Method
EqualsAll Method
FromArray Method
FromArray Method (Double[])
FromArray Method (Double[], Sparsity)
FromArray Method (Int32, Double[], Int32)
FromArray Method (Int32, Double[], Int32, Sparsity)
FromList Method
GetEnumerator Method
GreaterThan Method
GreaterThan Method (Double)
GreaterThan Method (Vector)
GreaterThanOrEqual Method
GreaterThanOrEqual Method (Double)
GreaterThanOrEqual Method (Vector)
IndexOf Method
IndexOfAll Method
IndexOfMaximum Method
IndexOfMinimum Method
Inner Method
Inner Method (Vector)
Inner Method (Vector, Converter(Double, Double))
Inner Method (Converter(Double, Double), Vector, Converter(Double, Double))
InnerProduct Method
LessThan Method
LessThan Method (Double)
LessThan Method (Vector)
LessThanOrEqual Method
LessThanOrEqual Method (Double)
LessThanOrEqual Method (Vector)
LogSumExp Method
Max Method
Max Method
Max Method (Converter(Double, Double))
MaxDiff Method
MaxDiff Method (Vector)
MaxDiff Method (Vector, Double)
Median Method
Min Method
Min Method
Min Method (Converter(Double, Double))
Outer Method
PredivideBy Method
PredivideBy Method (LowerTriangularMatrix)
PredivideBy Method (PositiveDefiniteMatrix)
PredivideBy Method (UpperTriangularMatrix)
PredivideByTranspose Method
Reduce Method
Reduce Method (Double, Func(Double, Double, Double))
Reduce Method (Double, Vector, Func(Double, Double, Double, Double))
Reduce Method (Double, Vector, Vector, Func(Double, Double, Double, Double, Double))
Scale Method
SetAllElementsTo Method
SetSubvector Method
SetTo Method
SetTo Method (IEnumerable(Double))
SetTo Method (Double[])
SetTo Method (Vector)
SetToDiagonal Method
SetToDifference Method
SetToDifference Method (Double, Vector)
SetToDifference Method (Vector, Vector)
SetToDifference Method (Vector, Double)
SetToFunction Method
SetToFunction Method (Vector, Converter(Double, Double))
SetToFunction Method (Vector, Vector, Func(Double, Double, Double))
SetToPower Method
SetToProduct Method
SetToProduct Method (Matrix, Vector)
SetToProduct Method (Vector, Matrix)
SetToProduct Method (Vector, Vector)
SetToProduct Method (Vector, Double)
SetToRatio Method
SetToSubarray Method
SetToSubvector Method
SetToSum Method
SetToSum Method (Vector, Vector)
SetToSum Method (Vector, Double)
SetToSum Method (Double, Vector, Double, Vector)
Subvector Method
Subvector Method (Int32, Int32)
Subvector Method (Vector, Int32, Int32)
Sum Method
Sum Method
Sum Method (Converter(Double, Double))
Sum Method (Converter(Double, Double), Vector, Converter(Double, Boolean))
SumI Method
SumISq Method
ToArray Method
Zero Method
Zero Method (Int32)
Zero Method (Int32, Sparsity)
Vector Operators
Addition Operator
Addition Operator (Vector, Vector)
Addition Operator (Vector, Double)
Division Operator
Equality Operator
ExclusiveOr Operator
GreaterThan Operator
GreaterThan Operator (Vector, Vector)
GreaterThan Operator (Vector, Double)
GreaterThanOrEqual Operator
GreaterThanOrEqual Operator (Vector, Vector)
GreaterThanOrEqual Operator (Vector, Double)
Inequality Operator
LessThan Operator
LessThan Operator (Vector, Vector)
LessThan Operator (Vector, Double)
LessThanOrEqual Operator
LessThanOrEqual Operator (Vector, Vector)
LessThanOrEqual Operator (Vector, Double)
Multiply Operator
Multiply Operator (Double, Vector)
Multiply Operator (Vector, Vector)
Multiply Operator (Vector, Double)
Subtraction Operator
Subtraction Operator (Double, Vector)
Subtraction Operator (Vector, Vector)
Subtraction Operator (Vector, Double)
UnaryNegation Operator
Vector Properties
Count Property
IsApproximate Property
IsDense Property
IsExact Property
IsReadOnly Property
IsSparse Property
Item Property
Sparsity Property
VectorMeanVarianceAccumulator Class
VectorMeanVarianceAccumulator Members
VectorMeanVarianceAccumulator Constructor
VectorMeanVarianceAccumulator Methods
Add Method
Add Method (Vector)
Add Method (Vector, Double)
Add Method (Vector, PositiveDefiniteMatrix, Double)
Clear Method
Clone Method
SetTo Method
VectorMeanVarianceAccumulator Properties
Count Property
Dimension Property
Mean Property
Variance Property
MicrosoftResearch.Infer.Models Namespace
CanGetContainers Interface
CanGetContainers Members
CanGetContainers Methods
GetContainers(T) Method
CaseBlock Class
ConditionBlock Class
ConditionBlock Members
ConditionBlock Methods
GetStatement Method
ConditionBlock Properties
ConditionVariableUntyped Property
ConditionBlock(T) Class
ConditionBlock(T) Members
ConditionBlock(T) Properties
ConditionValue Property
ConditionVariable Property
ConditionVariableUntyped Property
EmptyBlockException Class
EmptyBlockException Members
EmptyBlockException Constructor
ForEachBlock Class
ForEachBlock Members
ForEachBlock Constructor
ForEachBlock Methods
GetStatement Method
ForEachBlock Properties
Index Property
Range Property
HasItemVariables Interface
HasItemVariables Members
HasItemVariables Methods
GetItemsUntyped Method
HasObservedValue Interface
HasObservedValue Members
HasObservedValue Properties
IsObserved Property
ObservedValue Property
HasRange Interface
HasRange Members
HasRange Properties
Range Property
IfBlock Class
IModelExpression Interface
IModelExpression Members
IModelExpression Methods
GetExpression Method
IModelExpression Properties
Name Property
IModelExpression(T) Interface
ISharedVariable Interface
ISharedVariable Members
ISharedVariable Methods
GetEvidenceCorrection Method
InferOutput Method
InferOutput Method (IGeneratedAlgorithm, Model, Int32)
InferOutput Method (InferenceEngine, Model, Int32)
SetInput Method
ISharedVariable Properties
IsEvidenceVariable Property
ISharedVariableArray(ItemType, ArrayType) Interface