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::HashTableConstIterator< Key, Val > , gum::HashTableConstIteratorSafe< Key, Val > , gum::HashTableIterator< Key, Val > , gum::HashTableIteratorSafe< Key, Val > , gum::Instantiation , gum::SetInst
• val_ : gum::BinTreeNode< Val >
• val_type_ : gum::learning::DBTranslator< ALLOC >
• valFromPtr() : gum::Instantiation
• valid_ : gum::NodeGraphPartIterator
• validate_() : gum::NodeGraphPartIterator
• ValidatePointer() : ticpp::Base
• validNeighbors() : gum::prm::gspan::DFSCode
• vals() : gum::SetInst
• 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 >
• Value() : ticpp::Attribute , ticpp::Node , TiXmlAttribute
• value : TiXmlAttribute
• Value() : TiXmlNode
• value : TiXmlNode
• value_ : gum::IncrementalGraphLearner< AttributeSelection, isScalar >
• value_type : gum::HashTable< Key, Val, Alloc > , gum::HashTableConstIterator< Key, Val > , gum::HashTableConstIteratorSafe< Key, Val > , gum::HashTableIterator< Key, Val > , gum::HashTableIteratorSafe< Key, Val > , gum::HashTableList< Key, Val, Alloc > , gum::Heap< Val, Cmp, Alloc > , gum::learning::DatabaseTable< ALLOC > , gum::learning::DBHandler< T_DATA, ALLOC > , gum::learning::IDatabaseTable< T_DATA, ALLOC >::Handler , gum::learning::IDatabaseTable< T_DATA, ALLOC >::HandlerSafe , gum::learning::IDatabaseTable< T_DATA, ALLOC > , gum::learning::IdCondSetIterator< ALLOC > , gum::learning::RawDatabaseTable< ALLOC > , gum::List< Val, Alloc > , gum::ListConstIterator< Val > , gum::ListConstIteratorSafe< Val > , gum::ListIterator< Val > , gum::ListIteratorSafe< Val > , gum::MultiPriorityQueue< Val, Priority, Cmp, Alloc > , gum::NodeGraphPartIterator , gum::NodeGraphPartIteratorSafe , gum::PriorityQueue< Val, Priority, Cmp, Alloc > , gum::PriorityQueueImplementation< Val, Priority, Cmp, Alloc, Gen > , gum::Sequence< Key, Alloc > , gum::SequenceImplementation< Key, Alloc, Gen > , gum::SequenceIteratorSafe< Key > , gum::Set< Key, Alloc > , gum::SetIterator< Key > , gum::SetIteratorSafe< Key >
• 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::AbstractFMDPFactory , gum::BayesNet< GUM_SCALAR > , gum::BayesNetFactory< GUM_SCALAR > , gum::BayesNetFragment< GUM_SCALAR > , gum::DecisionPotential< GUM_SCALAR > , gum::FMDPFactory< GUM_SCALAR > , gum::GraphicalModel , gum::IBayesNet< GUM_SCALAR > , gum::IMarkovNet< GUM_SCALAR > , gum::InfluenceDiagram< GUM_SCALAR > , gum::Instantiation , gum::learning::DatabaseTable< ALLOC > , gum::learning::DBTranslator4ContinuousVariable< ALLOC > , gum::learning::DBTranslator4DiscretizedVariable< ALLOC > , gum::learning::DBTranslator4LabelizedVariable< ALLOC > , gum::learning::DBTranslator4RangeVariable< ALLOC > , gum::learning::DBTranslator< ALLOC > , gum::learning::DBTranslatorSet< ALLOC > , 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() : gum::Variable
• variable_names_ : gum::learning::IDatabaseTable< T_DATA, ALLOC >
• 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::IMarkovNet< 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< ALLOC >
• variableName() : gum::AbstractFMDPFactory , gum::BayesNetFactory< GUM_SCALAR > , gum::FMDPFactory< GUM_SCALAR > , gum::IBayesNetFactory , gum::learning::IDatabaseTable< T_DATA, ALLOC >
• variableNames() : gum::learning::DBHandler< T_DATA, ALLOC > , gum::learning::IDatabaseTable< T_DATA, ALLOC >::Handler , gum::learning::IDatabaseTable< T_DATA, ALLOC > , gum::learning::IDBInitializer< ALLOC >
• variableNames_() : gum::learning::DBInitializerFromCSV< ALLOC > , gum::learning::IDBInitializer< ALLOC >
• variableNodeMap() : gum::BayesNet< GUM_SCALAR > , gum::BayesNetFragment< GUM_SCALAR > , gum::GraphicalModel , gum::IBayesNet< GUM_SCALAR > , gum::IMarkovNet< GUM_SCALAR > , gum::InfluenceDiagram< GUM_SCALAR > , gum::prm::ClassBayesNet< GUM_SCALAR > , gum::prm::InstanceBayesNet< GUM_SCALAR >
• VariableNodeMap() : gum::VariableNodeMap
• variables() : gum::Formula
• variableSafe() : gum::learning::DBTranslatorSet< ALLOC >
• VariableSelector() : gum::VariableSelector
• variablesSequence() : gum::Instantiation , gum::MultiDimDecorator< GUM_SCALAR > , gum::MultiDimImplementation< GUM_SCALAR > , gum::MultiDimInterface , gum::ScheduleMultiDim< GUM_SCALAR > , gum::SetInst
• variableType() : gum::BayesNetFactory< GUM_SCALAR > , gum::IBayesNetFactory , gum::prm::o3prm::O3Aggregate
• variance() : gum::Estimator< 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::LabelizedVariable , gum::RangeVariable , gum::Variable
• vectHash_ : gum::credal::VarMod2BNsMap< GUM_SCALAR >
• verbose_ : gum::SDYNA , gum::StructuredPlaner< GUM_SCALAR >
• verbosity() : gum::ApproximationScheme , gum::IApproximationSchemeConfiguration , gum::learning::genericBNLearner
• verbosity_ : gum::ApproximationScheme
• Version() : ticpp::Declaration
• version : TiXmlDeclaration
• Version() : TiXmlDeclaration
• 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 > , gum::JointTargetedMNInference< 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