Here is a list of all class members with links to the classes they belong to:

- v -

• v : gum::prm::gspan::EdgeData< GUM_SCALAR >, gum::prm::gspan::EdgeGrowth< GUM_SCALAR >
• V2H() : gum::credal::LRSWrapper< GUM_SCALAR >
• val() : gum::HashTableBucket< Key, Val >, gum::HashTableConstIteratorSafe< Key, Val >, gum::Instantiation, gum::SetInst, HashTableConstIterator< Key, Val >, HashTableIterator< Key, Val >
• val_ : gum::BinTreeNode< Val >
• val_type_ : gum::learning::DBTranslator
• valFromPtr() : gum::Instantiation
• valid_ : gum::NodeGraphPartIterator
• validate_() : gum::NodeGraphPartIterator
• ValidatePointer() : ticpp::Base
• validNeighbors() : gum::prm::gspan::DFSCode
• vals() : gum::SetInst
• Value() : ticpp::Attribute, ticpp::Node, TiXmlAttribute, TiXmlNode
• value() : gum::ArgMaxSet< GUM_SCALAR_VAL, GUM_SCALAR_SEQ >, gum::BinTreeNode< Val >, gum::ExactTerminalNodePolicy< GUM_SCALAR >, gum::Int2Type< v >, gum::ITerminalNodePolicy< GUM_SCALAR >, gum::prm::o3prm::O3Float, gum::prm::o3prm::O3InstanceParameter, gum::prm::o3prm::O3Integer, gum::prm::o3prm::O3Parameter, gum::prm::o3prmr::ImportCommand, gum::prm::o3prmr::QueryCommand< GUM_SCALAR >, gum::prm::o3prmr::SetEngineCommand, gum::prm::o3prmr::SetGndEngineCommand, gum::prm::o3prmr::UnobserveCommand< GUM_SCALAR >, gum::prm::PRMParameter< GUM_SCALAR >, gum::SetTerminalNodePolicy< GUM_SCALAR >, TiXmlAttribute, TiXmlNode
• value_ : gum::IncrementalGraphLearner< AttributeSelection, isScalar >
• value_type : gum::AVLTree< Val, Cmp >, gum::AVLTreeIterator< Val, Cmp >, gum::AVLTreeIteratorSafe< Val, Cmp >, gum::AVLTreeReverseIterator< Val, Cmp >, gum::AVLTreeReverseIteratorSafe< Val, Cmp >, gum::HashTable< Key, Val >, gum::HashTableConstIteratorSafe< Key, Val >, gum::HashTableList< Key, Val >, gum::Heap< Val, Cmp >, gum::learning::DatabaseTable, gum::learning::DBHandler< T_DATA >, gum::learning::IDatabaseTable< T_DATA >::Handler, gum::learning::IDatabaseTable< T_DATA >::HandlerSafe, gum::learning::IDatabaseTable< T_DATA >, gum::learning::IdCondSetIterator, gum::learning::RawDatabaseTable, gum::List< Val >, gum::ListConstIterator< Val >, gum::ListConstIteratorSafe< Val >, gum::ListIterator< Val >, gum::ListIteratorSafe< Val >, gum::MultiDimCombination< TABLE >, gum::MultiDimCombineAndProject< TABLE >, gum::MultiDimCombineAndProjectDefault< TABLE >, gum::MultiDimProjection< TABLE >, gum::MultiPriorityQueue< Val, Priority, Cmp >, gum::NodeGraphPartIterator, gum::NodeGraphPartIteratorSafe, gum::PriorityQueue< Val, Priority, Cmp >, gum::PriorityQueueImplementation< Val, Priority, Cmp, Gen >, gum::ScheduleMultiDim< TABLE >::ElementType< T >, gum::ScheduleMultiDim< TABLE >::ElementType< CONTAINER< T, Args... > >, gum::Sequence< Key >, gum::SequenceImplementation< Key, Gen >, gum::SequenceIteratorSafe< Key >, gum::Set< Key >, gum::SetIterator< Key >, gum::SetIteratorSafe< Key >, gum::SortedPriorityQueue< Val, Priority, Cmp >, gum::SortedPriorityQueueIterator< Val, Priority, Cmp >, gum::SortedPriorityQueueIteratorSafe< Val, Priority, Cmp >, gum::SortedPriorityQueueReverseIterator< Val, Priority, Cmp >, gum::SortedPriorityQueueReverseIteratorSafe< Val, Priority, Cmp >, HashTableConstIterator< Key, Val >, HashTableIterator< Key, Val >
• valueAssumed_ : gum::IncrementalGraphLearner< AttributeSelection, isScalar >
• valueDomain() : gum::NodeDatabase< AttributeSelection, isScalar >
• valueFunctionSize() : gum::SDYNA
• valueIteration_() : gum::AdaptiveRMaxPlaner, gum::StructuredPlaner< GUM_SCALAR >
• values() : gum::prm::o3prm::O3RawCPT, gum::prm::o3prm::O3RealType, gum::prm::o3prmr::QueryResult
• values_ : gum::MultiDimArray< GUM_SCALAR >
• ValueStr() : TiXmlAttribute, TiXmlNode
• ValueTStr() : TiXmlNode
• ValueType : gum::ConcreteLeaf< AttributeSelection, isScalar >, gum::IncrementalGraphLearner< AttributeSelection, isScalar >, gum::NodeDatabase< AttributeSelection, isScalar >
• valueType() : gum::prm::PRMParameter< GUM_SCALAR >
• var2node : gum::prm::StructuredInference< GUM_SCALAR >::RGData
• var2Node_ : gum::IncrementalGraphLearner< AttributeSelection, isScalar >
• VarBijection : gum::MultiDimBijArray< GUM_SCALAR >
• varHashs : gum::credal::VarMod2BNsMap< GUM_SCALAR >
• Variable() : gum::Variable
• variable() : gum::AbstractFMDPFactory, gum::BayesNet< GUM_SCALAR >, gum::BayesNetFactory< GUM_SCALAR >, gum::BayesNetFragment< GUM_SCALAR >, gum::DecisionTensor< GUM_SCALAR >, gum::FMDPFactory< GUM_SCALAR >, gum::GraphicalModel, gum::IBayesNet< GUM_SCALAR >, gum::IMarkovRandomField< GUM_SCALAR >, gum::InfluenceDiagram< GUM_SCALAR >, gum::Instantiation, gum::learning::DatabaseTable, gum::learning::DBTranslator4ContinuousVariable, gum::learning::DBTranslator4DiscretizedVariable, gum::learning::DBTranslator4IntegerVariable, gum::learning::DBTranslator4LabelizedVariable, gum::learning::DBTranslator4NumericalDiscreteVariable, gum::learning::DBTranslator4RangeVariable, gum::learning::DBTranslator, gum::learning::DBTranslatorSet, gum::MultiDimDecorator< GUM_SCALAR >, gum::MultiDimImplementation< GUM_SCALAR >, gum::MultiDimInterface, gum::prm::ClassBayesNet< GUM_SCALAR >, gum::prm::InstanceBayesNet< GUM_SCALAR >, gum::prm::PRMType, gum::SetInst
• variable_names_ : gum::learning::IDatabaseTable< T_DATA >
• variableDescription() : gum::AbstractFMDPFactory, gum::BayesNetFactory< GUM_SCALAR >, gum::FMDPFactory< GUM_SCALAR >, gum::IBayesNetFactory
• VariableElimination() : gum::VariableElimination< GUM_SCALAR >
• variableFromName() : gum::BayesNet< GUM_SCALAR >, gum::BayesNetFragment< GUM_SCALAR >, gum::GraphicalModel, gum::IBayesNet< GUM_SCALAR >, gum::IMarkovRandomField< GUM_SCALAR >, gum::InfluenceDiagram< GUM_SCALAR >, gum::prm::ClassBayesNet< GUM_SCALAR >, gum::prm::InstanceBayesNet< GUM_SCALAR >, gum::VariableNodeMap
• variableId() : gum::BayesNetFactory< GUM_SCALAR >, gum::IBayesNetFactory
• VariableLearnerType : gum::FMDPLearner< VariableAttributeSelection, RewardAttributeSelection, LearnerSelection >
• VariableLog2ParamComplexity() : gum::VariableLog2ParamComplexity
• variableName() : gum::AbstractFMDPFactory, gum::BayesNetFactory< GUM_SCALAR >, gum::FMDPFactory< GUM_SCALAR >, gum::IBayesNetFactory, gum::learning::IDatabaseTable< T_DATA >
• variableNames() : gum::learning::DBHandler< T_DATA >, gum::learning::IDatabaseTable< T_DATA >::Handler, gum::learning::IDatabaseTable< T_DATA >, gum::learning::IDBInitializer
• variableNames_() : gum::learning::DBInitializerFromCSV, gum::learning::DBInitializerFromSQL, gum::learning::IDBInitializer
• VariableNodeMap() : gum::VariableNodeMap
• variableNodeMap() : gum::BayesNet< GUM_SCALAR >, gum::BayesNetFragment< GUM_SCALAR >, gum::GraphicalModel, gum::IBayesNet< GUM_SCALAR >, gum::IMarkovRandomField< GUM_SCALAR >, gum::InfluenceDiagram< GUM_SCALAR >, gum::prm::ClassBayesNet< GUM_SCALAR >, gum::prm::InstanceBayesNet< GUM_SCALAR >
• variables() : gum::Formula, gum::GraphicalModel
• variableSafe() : gum::learning::DBTranslatorSet
• VariableSelector() : gum::VariableSelector
• variablesSequence() : gum::Instantiation, gum::IScheduleMultiDim, gum::MultiDimDecorator< GUM_SCALAR >, gum::MultiDimImplementation< GUM_SCALAR >, gum::MultiDimInterface, gum::ScheduleMultiDim< TABLE >, gum::SetInst
• variableType() : gum::BayesNetFactory< GUM_SCALAR >, gum::IBayesNetFactory, gum::prm::o3prm::O3Aggregate
• variance() : gum::Estimator< GUM_SCALAR >
• variationOfInformationXY() : gum::InformationTheory< INFERENCE_ENGINE, GUM_SCALAR >
• varInBN() : gum::BayesNetFactory< GUM_SCALAR >, gum::IBayesNetFactory
• varKey : gum::credal::VarMod2BNsMap< GUM_SCALAR >
• varLearner() : gum::FMDPLearner< VariableAttributeSelection, RewardAttributeSelection, LearnerSelection >, gum::ILearningStrategy
• VarLearnerTable : gum::FMDPLearner< VariableAttributeSelection, RewardAttributeSelection, LearnerSelection >
• VarMod2BNsMap() : gum::credal::VarMod2BNsMap< GUM_SCALAR >
• varModality() : gum::O4DGContext
• varNodeListe() : gum::MultiDimFunctionGraph< GUM_SCALAR, TerminalNodePolicy >
• varOrder() : gum::learning::BNDatabaseGenerator< GUM_SCALAR >
• varOrderNames() : gum::learning::BNDatabaseGenerator< GUM_SCALAR >
• vars : gum::prm::gspan::StrictSearch< GUM_SCALAR >::PData, gum::prm::StructuredInference< GUM_SCALAR >::PData
• varsSeparator_ : gum::ShaferShenoyLIMIDInference< GUM_SCALAR >
• VarTransitionTable : gum::FMDP< GUM_SCALAR >
• varType() : gum::ContinuousVariable< GUM_SCALAR >, gum::DiscreteVariable, gum::DiscretizedVariable< T_TICKS >, gum::IntegerVariable, gum::LabelizedVariable, gum::NumericalDiscreteVariable, gum::RangeVariable, gum::Variable
• vectHash_ : gum::credal::VarMod2BNsMap< GUM_SCALAR >
• verbose_ : gum::SDYNA, gum::StructuredPlaner< GUM_SCALAR >
• verbosity() : gum::ApproximationScheme, gum::IApproximationSchemeConfiguration, gum::learning::IBNLearner
• verbosity_ : gum::ApproximationScheme
• Version() : ticpp::Declaration, TiXmlDeclaration
• version : TiXmlDeclaration
• versionNumber() : gum::Schedule
• vertices() : gum::credal::InferenceEngine< GUM_SCALAR >
• verticesFusion_() : gum::credal::MultipleInferenceEngine< GUM_SCALAR, BNInferenceEngine >
• vFunction() : gum::StructuredPlaner< GUM_SCALAR >
• vFunction_ : gum::StructuredPlaner< GUM_SCALAR >
• vFunctionSize() : gum::IPlanningStrategy< GUM_SCALAR >, gum::StructuredPlaner< GUM_SCALAR >
• VI() : gum::JointTargetedInference< GUM_SCALAR >
• virtualLBPSize_ : gum::LoopySamplingInference< GUM_SCALAR, APPROX >
• Visit() : ticpp::Visitor, TiXmlPrinter, TiXmlVisitor
• visited_cliques : gum::CliqueGraph::_RunningIntersect_
• VisitEnter() : ticpp::Visitor, TiXmlPrinter, TiXmlVisitor
• VisitExit() : ticpp::Visitor, TiXmlPrinter, TiXmlVisitor
• vX_ : gum::InformationTheory< INFERENCE_ENGINE, GUM_SCALAR >
• vY_ : gum::InformationTheory< INFERENCE_ENGINE, GUM_SCALAR >
• vZ_ : gum::InformationTheory< INFERENCE_ENGINE, GUM_SCALAR >