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

- e -

• E_GreedyDecider() : gum::E_GreedyDecider
• Edge() : gum::Edge
• edge() : gum::prm::gspan::InterfaceGraph< GUM_SCALAR >
• EdgeAddition() : gum::learning::EdgeAddition
• EdgeCode() : gum::prm::gspan::EdgeCode
• edgeCode() : gum::prm::gspan::Pattern
• EdgeData() : gum::prm::gspan::EdgeData< GUM_SCALAR >
• EdgeDeletion() : gum::learning::EdgeDeletion
• EdgeGraphPart() : gum::EdgeGraphPart
• EdgeGrowth() : gum::prm::gspan::EdgeGrowth< GUM_SCALAR >
• edges() : gum::EdgeGraphPart, gum::EssentialGraph, gum::learning::StructuralConstraintPossibleEdges, gum::prm::gspan::InterfaceGraph< GUM_SCALAR >, gum::UGmodel
• edgesInSpanningForest() : gum::SpanningForest, gum::SpanningForestPrim
• edgesProperty() : gum::EdgeGraphPart
• effectif() : gum::AbstractLeaf, gum::ComposedLeaf, gum::ConcreteLeaf< AttributeSelection, isScalar >, gum::NodeDatabase< AttributeSelection, isScalar >
• elegantErrors() : gum::ErrorsContainer
• elegantErrorsAndWarnings() : gum::ErrorsContainer
• Element() : ticpp::Element, TiXmlHandle
• element() : gum::Link< T >
• elements() : gum::prm::o3prm::O3Interface
• elim_order() : gum::prm::StructuredInference< GUM_SCALAR >::CData
• eliminationOrder() : gum::IncrementalTriangulation, gum::StaticTriangulation, gum::Triangulation
• EliminationSequenceStrategy() : gum::EliminationSequenceStrategy
• eliminationSequenceStrategy() : gum::StaticTriangulation
• eliminationTree() : gum::IncrementalTriangulation, gum::StaticTriangulation, gum::Triangulation
• eliminationUpdate() : gum::DefaultEliminationSequenceStrategy, gum::DefaultPartialOrderedEliminationSequenceStrategy, gum::EliminationSequenceStrategy, gum::OrderedEliminationSequenceStrategy
• elimRedundVrep() : gum::credal::LRSWrapper< GUM_SCALAR >
• elt() : gum::HashTableBucket< Key, Val >
• elt_type() : gum::prm::PRMAggregate< GUM_SCALAR >, gum::prm::PRMAttribute< GUM_SCALAR >, gum::prm::PRMClassElement< GUM_SCALAR >, gum::prm::PRMFormAttribute< GUM_SCALAR >, gum::prm::PRMParameter< GUM_SCALAR >, gum::prm::PRMReferenceSlot< GUM_SCALAR >, gum::prm::PRMScalarAttribute< GUM_SCALAR >, gum::prm::PRMSlotChain< GUM_SCALAR >
• EM() : gum::learning::IBNLearner
• EMApproximationScheme() : gum::learning::EMApproximationScheme
• EMCurrentTime() : gum::learning::IBNLearner
• EMdisableEpsilon() : gum::learning::BNLearner< GUM_SCALAR >, gum::learning::IBNLearner
• EMdisableMaxIter() : gum::learning::BNLearner< GUM_SCALAR >, gum::learning::IBNLearner
• EMdisableMaxTime() : gum::learning::BNLearner< GUM_SCALAR >, gum::learning::IBNLearner
• EMdisableMinEpsilonRate() : gum::learning::BNLearner< GUM_SCALAR >, gum::learning::IBNLearner
• EMenableEpsilon() : gum::learning::BNLearner< GUM_SCALAR >, gum::learning::IBNLearner
• EMenableMaxIter() : gum::learning::BNLearner< GUM_SCALAR >, gum::learning::IBNLearner
• EMenableMaxTime() : gum::learning::BNLearner< GUM_SCALAR >, gum::learning::IBNLearner
• EMenableMinEpsilonRate() : gum::learning::BNLearner< GUM_SCALAR >, gum::learning::IBNLearner
• EMEpsilon() : gum::learning::IBNLearner
• EMHistory() : gum::learning::IBNLearner
• EMisEnabledEpsilon() : gum::learning::IBNLearner
• EMisEnabledMaxIter() : gum::learning::IBNLearner
• EMisEnabledMaxTime() : gum::learning::IBNLearner
• EMisEnabledMinEpsilonRate() : gum::learning::IBNLearner
• EMMaxIter() : gum::learning::IBNLearner
• EMMaxTime() : gum::learning::IBNLearner
• EMMinEpsilonRate() : gum::learning::IBNLearner
• EMnbrIterations() : gum::learning::IBNLearner
• EMPeriodSize() : gum::learning::BNLearner< GUM_SCALAR >, gum::learning::IBNLearner
• emplace() : gum::AVLTree< Val, Cmp >, gum::BijectionImplementation< T1, T2, Gen >, gum::HashTable< Key, Val >, gum::Heap< Val, Cmp >, gum::List< Val >, gum::MultiPriorityQueue< Val, Priority, Cmp >, gum::PriorityQueueImplementation< Val, Priority, Cmp, Gen >, gum::SequenceImplementation< Key, Gen >, gum::Set< Key >, gum::SortedPriorityQueue< Val, Priority, Cmp >
• emplaceBack() : gum::List< Val >
• emplaceBinaryCombination() : gum::Schedule
• emplaceDeletion() : gum::Schedule
• emplaceFront() : gum::List< Val >
• emplaceProjection() : gum::Schedule
• emplaceScheduleMultiDim() : gum::Schedule
• emplaceStorage() : gum::Schedule
• empty() : gum::AVLTree< Val, Cmp >, gum::BijectionImplementation< T1, T2, Gen >, gum::BinSearchTree< Val, Cmp, Node >, gum::DiscreteVariable, gum::GraphicalModel, gum::HashTable< Key, Val >, gum::HashTableList< Key, Val >, gum::Heap< Val, Cmp >, gum::Instantiation, gum::learning::GraphChangesSelector4DiGraph< STRUCTURAL_CONSTRAINT, GRAPH_CHANGES_GENERATOR >, gum::learning::IDatabaseTable< T_DATA >, gum::learning::IdCondSet, gum::List< Val >, gum::MultiDimDecorator< GUM_SCALAR >, gum::MultiDimImplementation< GUM_SCALAR >, gum::MultiDimInterface, gum::MultiPriorityQueue< Val, Priority, Cmp >, gum::NodeGraphPart, gum::PriorityQueueImplementation< Val, Priority, Cmp, Gen >, gum::SequenceImplementation< Key, Gen >, gum::Set< Key >, gum::SetInst, gum::SortedPriorityQueue< Val, Priority, Cmp >, TiXmlString
• emptyArcs() : gum::ArcGraphPart
• emptyEdges() : gum::EdgeGraphPart
• emptyNodes() : gum::NodeGraphPart
• EMsetEpsilon() : gum::learning::BNLearner< GUM_SCALAR >, gum::learning::IBNLearner
• EMsetMaxIter() : gum::learning::BNLearner< GUM_SCALAR >, gum::learning::IBNLearner
• EMsetMaxTime() : gum::learning::BNLearner< GUM_SCALAR >, gum::learning::IBNLearner
• EMsetMinEpsilonRate() : gum::learning::BNLearner< GUM_SCALAR >, gum::learning::IBNLearner
• EMsetPeriodSize() : gum::learning::BNLearner< GUM_SCALAR >, gum::learning::IBNLearner
• EMsetVerbosity() : gum::learning::BNLearner< GUM_SCALAR >, gum::learning::IBNLearner
• EMState() : gum::learning::IBNLearner
• EMStateApproximationScheme() : gum::learning::IBNLearner
• EMStateMessage() : gum::learning::IBNLearner
• EMVerbosity() : gum::learning::IBNLearner
• enableEpsilon() : gum::ApproximationScheme, gum::IApproximationSchemeConfiguration, gum::learning::IBNLearner
• enableMaxIter() : gum::ApproximationScheme, gum::IApproximationSchemeConfiguration, gum::learning::IBNLearner
• enableMaxTime() : gum::ApproximationScheme, gum::IApproximationSchemeConfiguration, gum::learning::IBNLearner
• enableMinEpsilonRate() : gum::ApproximationScheme, gum::IApproximationSchemeConfiguration, gum::learning::IBNLearner
• encode() : gum::LinearApproximationPolicy< GUM_SCALAR >
• EncodeString() : TiXmlBase
• Encoding() : ticpp::Declaration, TiXmlDeclaration
• end() : gum::AVLTree< Val, Cmp >, gum::BijectionImplementation< T1, T2, Gen >, gum::BinSearchTree< Val, Cmp, Node >, gum::HashTable< Key, Val >, gum::Instantiation, gum::learning::GraphChangesGenerator4DiGraph< STRUCT_CONSTRAINT >, gum::learning::GraphChangesGenerator4K2< STRUCT_CONSTRAINT >, gum::learning::GraphChangesGenerator4UndiGraph< STRUCT_CONSTRAINT >, gum::learning::GraphChangesGeneratorOnSubDiGraph< STRUCT_CONSTRAINT >, gum::learning::IDatabaseTable< T_DATA >, gum::learning::IDatabaseTable< T_DATA >::Handler, gum::learning::IdCondSet, gum::learning::IGraphChangesGenerator4DiGraph, gum::learning::IGraphChangesGenerator4UndiGraph, gum::List< Val >, gum::NodeGraphPart, gum::prm::o3prm::O3IntType, gum::prm::PRMInstance< GUM_SCALAR >, gum::prm::PRMInterface< GUM_SCALAR >, gum::prm::PRMSlotChain< GUM_SCALAR >, gum::prm::PRMSystem< GUM_SCALAR >, gum::SequenceImplementation< Key, Gen >, gum::Set< Key >, gum::SetInst, gum::SortedPriorityQueue< Val, Priority, Cmp >, ticpp::Iterator< T >
• endActionDeclaration() : gum::AbstractFMDPFactory, gum::FMDPFactory< GUM_SCALAR >
• endActions() : gum::AbstractSimulator, gum::FactorySimulator, gum::FMDP< GUM_SCALAR >, gum::FMDPSimulator, gum::TaxiSimulator
• endAggregator() : gum::prm::PRMFactory< GUM_SCALAR >
• endAttribute() : gum::prm::IPRMFactory, gum::prm::PRMFactory< GUM_SCALAR >
• endClass() : gum::prm::IPRMFactory, gum::prm::PRMFactory< GUM_SCALAR >
• endCostDeclaration() : gum::AbstractFMDPFactory, gum::FMDPFactory< GUM_SCALAR >
• endDiscountDeclaration() : gum::AbstractFMDPFactory, gum::FMDPFactory< GUM_SCALAR >
• endDiscreteType() : gum::prm::IPRMFactory, gum::prm::PRMFactory< GUM_SCALAR >
• endDiscretizedType() : gum::prm::IPRMFactory, gum::prm::PRMFactory< GUM_SCALAR >
• endFactorizedEntry() : gum::BayesNetFactory< GUM_SCALAR >, gum::IBayesNetFactory
• endFactorizedProbabilityDeclaration() : gum::BayesNetFactory< GUM_SCALAR >, gum::IBayesNetFactory
• endInterface() : gum::prm::IPRMFactory, gum::prm::PRMFactory< GUM_SCALAR >
• endInvRef() : gum::prm::PRMInstance< GUM_SCALAR >
• endMultipleChanges() : gum::MultiDimContainer< GUM_SCALAR >, gum::MultiDimDecorator< GUM_SCALAR >, gum::MultiDimImplementation< GUM_SCALAR >
• endNetworkDeclaration() : gum::BayesNetFactory< GUM_SCALAR >, gum::IBayesNetFactory
• endPairs() : gum::FusionContext< isInitial >
• endParentsDeclaration() : gum::BayesNetFactory< GUM_SCALAR >, gum::IBayesNetFactory
• endRawProbabilityDeclaration() : gum::BayesNetFactory< GUM_SCALAR >, gum::IBayesNetFactory
• endRewardDeclaration() : gum::AbstractFMDPFactory, gum::FMDPFactory< GUM_SCALAR >
• endSafe() : gum::ActionSet, gum::ArgMaxSet< GUM_SCALAR_VAL, GUM_SCALAR_SEQ >, gum::AVLTree< Val, Cmp >, gum::BijectionImplementation< T1, T2, Gen >, gum::HashTable< Key, Val >, gum::learning::IDatabaseTable< T_DATA >, gum::learning::IdCondSet, gum::List< Val >, gum::NodeGraphPart, gum::SequenceImplementation< Key, Gen >, gum::Set< Key >, gum::SortedPriorityQueue< Val, Priority, Cmp >
• endSystem() : gum::prm::IPRMFactory, gum::prm::PRMFactory< GUM_SCALAR >
• endTopologyTransformation() : gum::BayesNet< GUM_SCALAR >, gum::InfluenceDiagram< GUM_SCALAR >
• endTransitionDeclaration() : gum::AbstractFMDPFactory, gum::FMDPFactory< GUM_SCALAR >
• endVariableDeclaration() : gum::AbstractFMDPFactory, gum::BayesNetFactory< GUM_SCALAR >, gum::FMDPFactory< GUM_SCALAR >, gum::IBayesNetFactory
• endVariables() : gum::AbstractSimulator, gum::FactorySimulator, gum::FMDP< GUM_SCALAR >, gum::FMDPSimulator, gum::TaxiSimulator
• entropy() : gum::Tensor< GUM_SCALAR >
• entropyX() : gum::InformationTheory< INFERENCE_ENGINE, GUM_SCALAR >
• entropyXgivenY() : gum::InformationTheory< INFERENCE_ENGINE, GUM_SCALAR >
• entropyXgivenYZ() : gum::InformationTheory< INFERENCE_ENGINE, GUM_SCALAR >
• entropyXgivenZ() : gum::InformationTheory< INFERENCE_ENGINE, GUM_SCALAR >
• entropyXY() : gum::InformationTheory< INFERENCE_ENGINE, GUM_SCALAR >
• entropyXYgivenZ() : gum::InformationTheory< INFERENCE_ENGINE, GUM_SCALAR >
• entropyY() : gum::InformationTheory< INFERENCE_ENGINE, GUM_SCALAR >
• entropyYgivenX() : gum::InformationTheory< INFERENCE_ENGINE, GUM_SCALAR >
• entropyYgivenZ() : gum::InformationTheory< INFERENCE_ENGINE, GUM_SCALAR >
• enum2str() : gum::prm::PRMClassElement< GUM_SCALAR >, gum::prm::PRMObject
• enum_combi_() : gum::credal::CNLoopyPropagation< GUM_SCALAR >
• epsilon() : gum::ApproximationScheme, gum::IApproximationSchemeConfiguration, gum::learning::IBNLearner
• epsilonMax() : gum::credal::CredalNet< GUM_SCALAR >
• epsilonMean() : gum::credal::CredalNet< GUM_SCALAR >
• epsilonMin() : gum::credal::CredalNet< GUM_SCALAR >
• erase() : gum::AVLTree< Val, Cmp >, gum::BayesNet< GUM_SCALAR >, gum::BinSearchTree< Val, Cmp, Node >, gum::CompleteProjectionRegister4MultiDim< GUM_SCALAR >, gum::HashTable< Key, Val >, gum::HashTableList< Key, Val >, gum::Heap< Val, Cmp >, gum::InfluenceDiagram< GUM_SCALAR >, gum::Instantiation, gum::learning::IdCondSet, gum::learning::ScoringCache, gum::List< Val >, gum::MultiDimArray< GUM_SCALAR >, gum::MultiDimBijArray< GUM_SCALAR >, gum::MultiDimBucket< GUM_SCALAR >, gum::MultiDimDecorator< GUM_SCALAR >, gum::MultiDimFunctionGraph< GUM_SCALAR, TerminalNodePolicy >, gum::MultiDimImplementation< GUM_SCALAR >, gum::MultiDimInterface, gum::MultiDimSparse< GUM_SCALAR >, gum::MultiDimWithOffset< GUM_SCALAR >, gum::MultiPriorityQueue< Val, Priority, Cmp >, gum::OperatorRegister4MultiDim< GUM_SCALAR >, gum::PartialInstantiationRegister4MultiDim< GUM_SCALAR >, gum::PriorityQueueImplementation< Val, Priority, Cmp, Gen >, gum::ProjectionRegister4MultiDim< GUM_SCALAR >, gum::SequenceImplementation< Key, Gen >, gum::Set< Key >, gum::SetInst, gum::SortedPriorityQueue< Val, Priority, Cmp >, gum::VariableNodeMap
• erase_() : gum::AVLTree< Val, Cmp >, gum::BinSearchTree< Val, Cmp, Node >
• eraseAllEvidence() : gum::credal::CNLoopyPropagation< GUM_SCALAR >, gum::credal::InferenceEngine< GUM_SCALAR >, gum::credal::MultipleInferenceEngine< GUM_SCALAR, BNInferenceEngine >, gum::GraphicalModelInference< GUM_SCALAR >
• eraseAllJointTargets() : gum::JointTargetedInference< GUM_SCALAR >, gum::JointTargetedMRFInference< GUM_SCALAR >
• eraseAllMarginalTargets() : gum::JointTargetedInference< GUM_SCALAR >, gum::JointTargetedMRFInference< GUM_SCALAR >
• eraseAllRows() : gum::learning::IDatabaseTable< T_DATA >
• eraseAllTargets() : gum::JointTargetedInference< GUM_SCALAR >, gum::JointTargetedMRFInference< GUM_SCALAR >, gum::MarginalTargetedInference< GUM_SCALAR >, gum::MarginalTargetedMRFInference< GUM_SCALAR >
• eraseAllVal() : gum::HashTable< Key, Val >, gum::List< Val >
• eraseArc() : gum::ArcGraphPart, gum::BayesNet< GUM_SCALAR >, gum::DAGCycleDetector, gum::InfluenceDiagram< GUM_SCALAR >, gum::learning::StructuralConstraintForbiddenArcs, gum::learning::StructuralConstraintMandatoryArcs
• eraseBottom() : gum::SortedPriorityQueue< Val, Priority, Cmp >
• eraseByPos() : gum::Heap< Val, Cmp >, gum::MultiPriorityQueue< Val, Priority, Cmp >, gum::PriorityQueueImplementation< Val, Priority, Cmp, Gen >
• eraseByVal() : gum::HashTable< Key, Val >, gum::List< Val >
• eraseChildren() : gum::ArcGraphPart
• eraseClique() : gum::SimplicialSet
• eraseEdge() : gum::CliqueGraph, gum::EdgeGraphPart, gum::IncrementalTriangulation, gum::learning::StructuralConstraintPossibleEdges, gum::SimplicialSet
• eraseEvidence() : gum::GraphicalModelInference< GUM_SCALAR >
• eraseFirst() : gum::BijectionImplementation< T1, T2, Gen >
• eraseFirstRow() : gum::learning::IDatabaseTable< T_DATA >
• eraseFirstRows() : gum::learning::IDatabaseTable< T_DATA >
• eraseForbiddenArc() : gum::learning::BNLearner< GUM_SCALAR >, gum::learning::IBNLearner
• eraseFromClique() : gum::CliqueGraph
• eraseJointTarget() : gum::JointTargetedInference< GUM_SCALAR >, gum::JointTargetedMRFInference< GUM_SCALAR >
• eraseLabels() : gum::LabelizedVariable
• eraseLastRow() : gum::learning::IDatabaseTable< T_DATA >
• eraseLastRows() : gum::learning::IDatabaseTable< T_DATA >
• eraseLeftLink() : gum::BinTreeNode< Val >
• eraseLink() : gum::BinTreeNode< Val >
• eraseMandatoryArc() : gum::learning::BNLearner< GUM_SCALAR >, gum::learning::IBNLearner
• eraseNeighbours() : gum::EdgeGraphPart
• eraseNoChildrenNode() : gum::learning::BNLearner< GUM_SCALAR >, gum::learning::IBNLearner
• eraseNode() : gum::CliqueGraph, gum::DiGraph, gum::IncrementalTriangulation, gum::learning::StructuralConstraintNoChildrenNodes, gum::learning::StructuralConstraintNoParentNodes, gum::MixedGraph, gum::MultiDimFunctionGraphManager< GUM_SCALAR, TerminalNodePolicy >, gum::NodeGraphPart, gum::SimplicialSet, gum::UndiGraph
• eraseNoParentNode() : gum::learning::BNLearner< GUM_SCALAR >, gum::learning::IBNLearner
• eraseParents() : gum::ArcGraphPart
• erasePossibleEdge() : gum::learning::BNLearner< GUM_SCALAR >, gum::learning::IBNLearner
• eraseRightLink() : gum::BinTreeNode< Val >
• eraseRow() : gum::learning::IDatabaseTable< T_DATA >
• eraseRows() : gum::learning::IDatabaseTable< T_DATA >
• eraseSecond() : gum::BijectionImplementation< T1, T2, Gen >
• eraseSetOfArcs_() : gum::ArcGraphPart
• eraseTail() : gum::learning::GraphChangesGeneratorOnSubDiGraph< STRUCT_CONSTRAINT >
• eraseTarget() : gum::learning::GraphChangesGeneratorOnSubDiGraph< STRUCT_CONSTRAINT >, gum::MarginalTargetedInference< GUM_SCALAR >, gum::MarginalTargetedMRFInference< GUM_SCALAR >
• eraseTerminalNode() : gum::ExactTerminalNodePolicy< GUM_SCALAR >, gum::ITerminalNodePolicy< GUM_SCALAR >, gum::SetTerminalNodePolicy< GUM_SCALAR >
• eraseTicks() : gum::DiscretizedVariable< T_TICKS >
• eraseTop() : gum::Heap< Val, Cmp >, gum::MultiPriorityQueue< Val, Priority, Cmp >, gum::PriorityQueueImplementation< Val, Priority, Cmp, Gen >, gum::SortedPriorityQueue< Val, Priority, Cmp >
• eraseTranslator() : gum::learning::DBTranslatorSet
• eraseTranslators() : gum::learning::DatabaseTable
• eraseValue() : gum::IntegerVariable, gum::NumericalDiscreteVariable
• eraseValues() : gum::IntegerVariable, gum::NumericalDiscreteVariable
• eraseWithMaster() : gum::Instantiation
• errCol() : gum::BIFReader< GUM_SCALAR >, gum::DSLReader< GUM_SCALAR >, gum::FMDPDatReader< GUM_SCALAR >, gum::NetReader< GUM_SCALAR >, gum::O3prmBNReader< GUM_SCALAR >, gum::prm::o3prm::O3prmReader< GUM_SCALAR >, gum::UAIBNReader< GUM_SCALAR >, gum::UAIMRFReader< GUM_SCALAR >
• errFilename() : gum::prm::o3prm::O3prmReader< GUM_SCALAR >
• errIsError() : gum::BIFReader< GUM_SCALAR >, gum::DSLReader< GUM_SCALAR >, gum::FMDPDatReader< GUM_SCALAR >, gum::NetReader< GUM_SCALAR >, gum::O3prmBNReader< GUM_SCALAR >, gum::prm::o3prm::O3prmReader< GUM_SCALAR >, gum::UAIBNReader< GUM_SCALAR >, gum::UAIMRFReader< GUM_SCALAR >
• errLine() : gum::BIFReader< GUM_SCALAR >, gum::DSLReader< GUM_SCALAR >, gum::FMDPDatReader< GUM_SCALAR >, gum::NetReader< GUM_SCALAR >, gum::O3prmBNReader< GUM_SCALAR >, gum::prm::o3prm::O3prmReader< GUM_SCALAR >, gum::UAIBNReader< GUM_SCALAR >, gum::UAIMRFReader< GUM_SCALAR >
• errMsg() : gum::BIFReader< GUM_SCALAR >, gum::DSLReader< GUM_SCALAR >, gum::FMDPDatReader< GUM_SCALAR >, gum::NetReader< GUM_SCALAR >, gum::O3prmBNReader< GUM_SCALAR >, gum::prm::o3prm::O3prmReader< GUM_SCALAR >, gum::UAIBNReader< GUM_SCALAR >, gum::UAIMRFReader< GUM_SCALAR >
• Error() : gum::ErrorsContainer, TiXmlDocument
• error() : gum::ErrorsContainer, gum::prm::o3prmr::O3prmrInterpreter
• errorCallStack() : gum::Exception
• ErrorCol() : TiXmlDocument
• errorContent() : gum::Exception
• ErrorDesc() : TiXmlDocument
• ErrorId() : TiXmlDocument
• errorPQ() : gum::BNdistance< GUM_SCALAR >
• errorQP() : gum::BNdistance< GUM_SCALAR >
• ErrorRow() : TiXmlDocument
• errors() : gum::BIFReader< GUM_SCALAR >, gum::DSLReader< GUM_SCALAR >, gum::FMDPDatReader< GUM_SCALAR >, gum::NetReader< GUM_SCALAR >, gum::O3prmBNReader< GUM_SCALAR >, gum::prm::o3prm::O3prmReader< GUM_SCALAR >, gum::prm::o3prmr::O3prmrInterpreter, gum::UAIBNReader< GUM_SCALAR >, gum::UAIMRFReader< GUM_SCALAR >
• ErrorsContainer() : gum::ErrorsContainer
• errorsContainer() : gum::prm::o3prm::O3prmReader< GUM_SCALAR >, gum::prm::o3prmr::O3prmrInterpreter
• errorType() : gum::Exception
• EssentialGraph() : gum::EssentialGraph
• Estimator() : gum::Estimator< GUM_SCALAR >
• EV() : gum::Estimator< GUM_SCALAR >
• eval() : gum::FormulaPart
• evalPolicy_() : gum::AdaptiveRMaxPlaner, gum::StructuredPlaner< GUM_SCALAR >
• evalQaction_() : gum::StructuredPlaner< GUM_SCALAR >
• evEq() : gum::IBayesNet< GUM_SCALAR >, gum::Tensor< GUM_SCALAR >
• evGt() : gum::IBayesNet< GUM_SCALAR >, gum::Tensor< GUM_SCALAR >
• evidence() : gum::GraphicalModelInference< GUM_SCALAR >, gum::prm::PRMInference< GUM_SCALAR >
• evidenceAdded_() : gum::prm::GroundedInference< GUM_SCALAR >, gum::prm::PRMInference< GUM_SCALAR >, gum::prm::StructuredInference< GUM_SCALAR >, gum::prm::SVE< GUM_SCALAR >, gum::prm::SVED< GUM_SCALAR >
• evidenceImpact() : gum::MarginalTargetedInference< GUM_SCALAR >, gum::MarginalTargetedMRFInference< GUM_SCALAR >
• EvidenceInference() : gum::EvidenceInference< GUM_SCALAR >
• evidenceJointImpact() : gum::JointTargetedInference< GUM_SCALAR >, gum::JointTargetedMRFInference< GUM_SCALAR >
• EvidenceMRFInference() : gum::EvidenceMRFInference< GUM_SCALAR >
• evidenceProbability() : gum::EvidenceInference< GUM_SCALAR >, gum::EvidenceMRFInference< GUM_SCALAR >, gum::LazyPropagation< GUM_SCALAR >, gum::ShaferShenoyInference< GUM_SCALAR >, gum::ShaferShenoyMRFInference< GUM_SCALAR >
• evidenceRemoved_() : gum::prm::GroundedInference< GUM_SCALAR >, gum::prm::PRMInference< GUM_SCALAR >, gum::prm::StructuredInference< GUM_SCALAR >, gum::prm::SVE< GUM_SCALAR >, gum::prm::SVED< GUM_SCALAR >
• evIn() : gum::IBayesNet< GUM_SCALAR >, gum::Tensor< GUM_SCALAR >
• evLt() : gum::IBayesNet< GUM_SCALAR >, gum::Tensor< GUM_SCALAR >
• ExactBNdistance() : gum::ExactBNdistance< GUM_SCALAR >
• ExactPolicy() : gum::ExactPolicy< GUM_SCALAR >
• Exception() : gum::ErrorsContainer, gum::Exception, ticpp::Exception
• execute() : gum::MultiDimCombination< TABLE >, gum::MultiDimCombinationDefault< TABLE >, gum::MultiDimCombineAndProject< TABLE >, gum::MultiDimCombineAndProjectDefault< TABLE >, gum::MultiDimProjection< TABLE >, gum::ScheduleBinaryCombination< TABLE1, TABLE2, TABLE_RES >, gum::ScheduleOperator, gum::ScheduleProjection< TABLE >, gum::Scheduler, gum::SchedulerParallel, gum::SchedulerSequential, gum::ScheduleStorage< TABLE, CONTAINER >, gum::threadsOMP::ThreadExecutor, gum::threadsSTL::ThreadExecutor
• executeOrUndo() : gum::threadsOMP::ThreadExecutor, gum::threadsSTL::ThreadExecutor
• Exists() : gum::aggregator::Exists< GUM_SCALAR >
• exists() : gum::ActionSet, gum::ArgMaxSet< GUM_SCALAR_VAL, GUM_SCALAR_SEQ >, gum::AVLTree< Val, Cmp >, gum::CompleteProjectionRegister4MultiDim< GUM_SCALAR >, gum::DAGmodel, gum::GraphicalModel, gum::HashTable< Key, Val >, gum::HashTableList< Key, Val >, gum::learning::IdCondSet, gum::learning::ScoringCache, gum::List< Val >, gum::NodeGraphPart, gum::OperatorRegister4MultiDim< GUM_SCALAR >, gum::PartialInstantiationRegister4MultiDim< GUM_SCALAR >, gum::prm::gspan::Pattern, gum::prm::PRMClassElementContainer< GUM_SCALAR >, gum::prm::PRMInstance< GUM_SCALAR >, gum::prm::PRMSystem< GUM_SCALAR >, gum::prm::StructuredBayesBall< GUM_SCALAR >, gum::ProjectionRegister4MultiDim< GUM_SCALAR >, gum::SequenceImplementation< Key, Gen >, gum::Set< Key >, gum::UGmodel, gum::VariableNodeMap
• existsArc() : gum::ArcGraphPart, gum::DAGmodel
• existsEdge() : gum::EdgeGraphPart, gum::UGmodel
• existsFirst() : gum::BijectionImplementation< T1, T2, Gen >
• existsNode() : gum::NodeGraphPart
• existsPathBetween() : gum::InfluenceDiagram< GUM_SCALAR >
• existsScheduleMultiDim() : gum::Schedule
• existsSecond() : gum::BijectionImplementation< T1, T2, Gen >
• existsTerminalNodeWithId() : gum::ExactTerminalNodePolicy< GUM_SCALAR >, gum::ITerminalNodePolicy< GUM_SCALAR >, gum::SetTerminalNodePolicy< GUM_SCALAR >
• existsTerminalNodeWithValue() : gum::ExactTerminalNodePolicy< GUM_SCALAR >, gum::ITerminalNodePolicy< GUM_SCALAR >, gum::SetTerminalNodePolicy< GUM_SCALAR >
• expectationMax() : gum::credal::InferenceEngine< GUM_SCALAR >
• expectationMin() : gum::credal::InferenceEngine< GUM_SCALAR >
• expectedValue() : gum::Tensor< GUM_SCALAR >
• expFusion_() : gum::credal::MultipleInferenceEngine< GUM_SCALAR, BNInferenceEngine >
• exportMultiDim() : gum::ScheduleMultiDim< TABLE >
• extensions() : gum::prm::PRMClass< GUM_SCALAR >
• externalWeight() : gum::MultiDimICIModel< GUM_SCALAR >
• extract() : gum::Tensor< GUM_SCALAR >
• extractFrom() : gum::MultiDimContainer< GUM_SCALAR >
• extractOptimalPolicy_() : gum::StructuredPlaner< GUM_SCALAR >