- 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 >
• 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() : gum::Link< T >
• Element() : ticpp::Element , TiXmlHandle
• 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 >
• emplace() : gum::BijectionImplementation< T1, T2, Alloc, Gen > , gum::HashTable< Key, Val, Alloc > , gum::Heap< Val, Cmp, Alloc > , gum::List< Val, Alloc > , gum::MultiPriorityQueue< Val, Priority, Cmp, Alloc > , gum::PriorityQueueImplementation< Val, Priority, Cmp, Alloc, Gen > , gum::SequenceImplementation< Key, Alloc, Gen > , gum::Set< Key, Alloc >
• emplaceBack() : gum::List< Val, Alloc >
• emplaceFront() : gum::List< Val, Alloc >
• empty() : gum::BijectionImplementation< T1, T2, Alloc, Gen > , gum::BinSearchTree< Val, Cmp, Node > , gum::DAGmodel , gum::DiscreteVariable , gum::HashTable< Key, Val, Alloc > , gum::HashTableList< Key, Val, Alloc > , gum::Heap< Val, Cmp, Alloc > , gum::Instantiation , gum::learning::GraphChangesSelector4DiGraph< STRUCTURAL_CONSTRAINT, GRAPH_CHANGES_GENERATOR, ALLOC > , gum::learning::IDatabaseTable< T_DATA, ALLOC > , gum::learning::IdSet< ALLOC > , gum::List< Val, Alloc > , gum::MultiDimDecorator< GUM_SCALAR > , gum::MultiDimImplementation< GUM_SCALAR > , gum::MultiDimInterface , gum::MultiPriorityQueue< Val, Priority, Cmp, Alloc > , gum::NodeGraphPart , gum::PriorityQueueImplementation< Val, Priority, Cmp, Alloc, Gen > , gum::SequenceImplementation< Key, Alloc, Gen > , gum::Set< Key, Alloc > , gum::SetInst , TiXmlString
• emptyArcs() : gum::ArcGraphPart
• emptyEdges() : gum::EdgeGraphPart
• emptyNodes() : gum::NodeGraphPart
• enableEpsilon() : gum::ApproximationScheme , gum::IApproximationSchemeConfiguration , gum::learning::genericBNLearner
• enableMaxIter() : gum::ApproximationScheme , gum::IApproximationSchemeConfiguration , gum::learning::genericBNLearner
• enableMaxTime() : gum::ApproximationScheme , gum::IApproximationSchemeConfiguration , gum::learning::genericBNLearner
• enableMinEpsilonRate() : gum::ApproximationScheme , gum::IApproximationSchemeConfiguration , gum::learning::genericBNLearner
• encode() : gum::LinearApproximationPolicy< GUM_SCALAR >
• EncodeString() : TiXmlBase
• Encoding() : ticpp::Declaration , TiXmlDeclaration
• end() : gum::BijectionImplementation< T1, T2, Alloc, Gen > , gum::BinSearchTree< Val, Cmp, Node > , gum::HashTable< Key, Val, Alloc > , 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, ALLOC > , gum::learning::IDatabaseTable< T_DATA, ALLOC >::Handler , gum::learning::IdSet< ALLOC > , gum::learning::IGraphChangesGenerator4DiGraph , gum::learning::IGraphChangesGenerator4UndiGraph , gum::List< Val, Alloc > , 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, Alloc, Gen > , gum::Set< Key, Alloc > , gum::SetInst , ticpp::Iterator< T >
• end4Statics() : gum::BijectionImplementation< T1, T2, Alloc, Gen > , gum::BijectionIteratorStaticEnd , gum::HashTable< Key, Val, Alloc > , gum::HashTableIteratorStaticEnd , gum::Set< Key, Alloc >
• 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::BijectionImplementation< T1, T2, Alloc, Gen > , gum::HashTable< Key, Val, Alloc > , gum::learning::IDatabaseTable< T_DATA, ALLOC > , gum::learning::IdSet< ALLOC > , gum::List< Val, Alloc > , gum::NodeGraphPart , gum::SequenceImplementation< Key, Alloc, Gen > , gum::Set< Key, Alloc >
• endSafe4Statics() : gum::BijectionImplementation< T1, T2, Alloc, Gen > , gum::BijectionIteratorStaticEnd , gum::HashTable< Key, Val, Alloc > , gum::HashTableIteratorStaticEnd , gum::Set< Key, Alloc >
• endSystem() : gum::prm::IPRMFactory , gum::prm::PRMFactory< GUM_SCALAR >
• endTopologyTransformation() : gum::BayesNet< 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
• entries() : gum::Directory
• entropy() : gum::Potential< GUM_SCALAR >
• enum2str() : gum::prm::PRMClassElement< GUM_SCALAR > , gum::prm::PRMObject
• epsilon() : gum::ApproximationScheme , gum::IApproximationSchemeConfiguration , gum::learning::genericBNLearner
• epsilonMax() : gum::credal::CredalNet< GUM_SCALAR >
• epsilonMean() : gum::credal::CredalNet< GUM_SCALAR >
• epsilonMin() : gum::credal::CredalNet< GUM_SCALAR >
• erase() : gum::BayesNet< GUM_SCALAR > , gum::BinSearchTree< Val, Cmp, Node > , gum::CompleteProjectionRegister4MultiDim< GUM_SCALAR > , gum::HashTable< Key, Val, Alloc > , gum::HashTableList< Key, Val, Alloc > , gum::Heap< Val, Cmp, Alloc > , gum::InfluenceDiagram< GUM_SCALAR > , gum::Instantiation , gum::learning::IdSet< ALLOC > , gum::learning::ScoringCache< ALLOC > , gum::List< Val, Alloc > , 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, Alloc > , gum::OperatorRegister4MultiDim< GUM_SCALAR > , gum::PartialInstantiationRegister4MultiDim< GUM_SCALAR > , gum::PriorityQueueImplementation< Val, Priority, Cmp, Alloc, Gen > , gum::ProjectionRegister4MultiDim< GUM_SCALAR > , gum::SequenceImplementation< Key, Alloc, Gen > , gum::Set< Key, Alloc > , gum::SetInst , gum::VariableNodeMap
• eraseAllEvidence() : gum::BayesNetInference< GUM_SCALAR > , gum::credal::CNLoopyPropagation< GUM_SCALAR > , gum::credal::InferenceEngine< GUM_SCALAR > , gum::credal::MultipleInferenceEngine< GUM_SCALAR, BNInferenceEngine > , gum::IInfluenceDiagramInference< GUM_SCALAR > , gum::InfluenceDiagramInference< GUM_SCALAR >
• eraseAllJointTargets() : gum::JointTargetedInference< GUM_SCALAR >
• eraseAllMarginalTargets() : gum::JointTargetedInference< GUM_SCALAR >
• eraseAllRows() : gum::learning::IDatabaseTable< T_DATA, ALLOC >
• eraseAllTargets() : gum::JointTargetedInference< GUM_SCALAR > , gum::MarginalTargetedInference< GUM_SCALAR >
• eraseAllVal() : gum::HashTable< Key, Val, Alloc > , gum::List< Val, Alloc >
• eraseArc() : gum::ArcGraphPart , gum::BayesNet< GUM_SCALAR > , gum::DAGCycleDetector , gum::InfluenceDiagram< GUM_SCALAR > , gum::learning::StructuralConstraintForbiddenArcs , gum::learning::StructuralConstraintMandatoryArcs
• eraseByPos() : gum::Heap< Val, Cmp, Alloc > , gum::MultiPriorityQueue< Val, Priority, Cmp, Alloc > , gum::PriorityQueueImplementation< Val, Priority, Cmp, Alloc, Gen >
• eraseByVal() : gum::HashTable< Key, Val, Alloc > , gum::List< Val, Alloc >
• eraseChildren() : gum::ArcGraphPart
• eraseClique() : gum::SimplicialSet
• eraseEdge() : gum::CliqueGraph , gum::EdgeGraphPart , gum::IncrementalTriangulation , gum::learning::StructuralConstraintPossibleEdges , gum::SimplicialSet
• eraseEvidence() : gum::BayesNetInference< GUM_SCALAR > , gum::IInfluenceDiagramInference< GUM_SCALAR > , gum::InfluenceDiagramInference< GUM_SCALAR >
• eraseFirst() : gum::BijectionImplementation< T1, T2, Alloc, Gen >
• eraseFirstRow() : gum::learning::IDatabaseTable< T_DATA, ALLOC >
• eraseFirstRows() : gum::learning::IDatabaseTable< T_DATA, ALLOC >
• eraseForbiddenArc() : gum::learning::genericBNLearner
• eraseFromClique() : gum::CliqueGraph
• eraseJointTarget() : gum::JointTargetedInference< GUM_SCALAR >
• eraseLabels() : gum::LabelizedVariable
• eraseLastRow() : gum::learning::IDatabaseTable< T_DATA, ALLOC >
• eraseLastRows() : gum::learning::IDatabaseTable< T_DATA, ALLOC >
• eraseLeftLink() : gum::BinTreeNode< Val >
• eraseLink() : gum::BinTreeNode< Val >
• eraseMandatoryArc() : gum::learning::genericBNLearner
• eraseNeighbours() : gum::EdgeGraphPart
• eraseNode() : gum::CliqueGraph , gum::DiGraph , gum::IncrementalTriangulation , gum::MixedGraph , gum::MultiDimFunctionGraphManager< GUM_SCALAR, TerminalNodePolicy > , gum::NodeGraphPart , gum::SimplicialSet , gum::UndiGraph
• eraseParents() : gum::ArcGraphPart
• erasePossibleEdge() : gum::learning::genericBNLearner
• eraseRightLink() : gum::BinTreeNode< Val >
• eraseRow() : gum::learning::IDatabaseTable< T_DATA, ALLOC >
• eraseRows() : gum::learning::IDatabaseTable< T_DATA, ALLOC >
• eraseSecond() : gum::BijectionImplementation< T1, T2, Alloc, Gen >
• eraseTail() : gum::learning::GraphChangesGeneratorOnSubDiGraph< STRUCT_CONSTRAINT >
• eraseTarget() : gum::learning::GraphChangesGeneratorOnSubDiGraph< STRUCT_CONSTRAINT > , gum::MarginalTargetedInference< 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, Alloc > , gum::MultiPriorityQueue< Val, Priority, Cmp, Alloc > , gum::PriorityQueueImplementation< Val, Priority, Cmp, Alloc, Gen >
• eraseTranslator() : gum::learning::DBTranslatorSet< ALLOC >
• eraseTranslators() : gum::learning::DatabaseTable< ALLOC >
• 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::UAIReader< 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::UAIReader< 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::UAIReader< 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::UAIReader< GUM_SCALAR >
• error() : gum::ErrorsContainer
• Error() : gum::ErrorsContainer
• error() : gum::prm::o3prmr::O3prmrInterpreter
• Error() : TiXmlDocument
• 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::UAIReader< 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
• evidence() : gum::BayesNetInference< GUM_SCALAR > , gum::prm::PRMInference< GUM_SCALAR >
• evidenceImpact() : gum::MarginalTargetedInference< GUM_SCALAR >
• EvidenceInference() : gum::EvidenceInference< GUM_SCALAR >
• evidenceJointImpact() : gum::JointTargetedInference< GUM_SCALAR >
• evidenceProbability() : gum::EvidenceInference< GUM_SCALAR > , gum::LazyPropagation< GUM_SCALAR > , gum::ShaferShenoyInference< GUM_SCALAR >
• ExactBNdistance() : gum::ExactBNdistance< GUM_SCALAR >
• ExactPolicy() : gum::ExactPolicy< GUM_SCALAR >
• Exception() : gum::ErrorsContainer , gum::Exception , ticpp::Exception
• execute() : gum::Schedule< GUM_SCALAR > , gum::ScheduleCliqueStoreMultiDim< GUM_SCALAR > , gum::ScheduleCombine< GUM_SCALAR > , gum::ScheduleDeleteMultiDim< GUM_SCALAR > , gum::ScheduleOperation< GUM_SCALAR > , gum::ScheduleProject< GUM_SCALAR > , gum::Scheduler< GUM_SCALAR > , gum::SchedulerBasic< GUM_SCALAR > , gum::ScheduleSeparatorStoreMultiDim< GUM_SCALAR >
• exists() : gum::ActionSet
• Exists() : gum::aggregator::Exists< GUM_SCALAR >
• exists() : gum::ArgMaxSet< GUM_SCALAR_VAL, GUM_SCALAR_SEQ > , gum::CompleteProjectionRegister4MultiDim< GUM_SCALAR > , gum::HashTable< Key, Val, Alloc > , gum::HashTableList< Key, Val, Alloc > , gum::learning::IdSet< ALLOC > , gum::learning::ScoringCache< ALLOC > , gum::List< Val, Alloc > , 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, Alloc, Gen > , gum::Set< Key, Alloc > , gum::VariableNodeMap
• existsArc() : gum::ArcGraphPart
• existsEdge() : gum::EdgeGraphPart
• existsFirst() : gum::BijectionImplementation< T1, T2, Alloc, Gen >
• existsNode() : gum::NodeGraphPart
• existsPathBetween() : gum::InfluenceDiagram< GUM_SCALAR >
• existsSecond() : gum::BijectionImplementation< T1, T2, Alloc, 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 >
• extensions() : gum::prm::PRMClass< GUM_SCALAR >
• externalWeight() : gum::MultiDimICIModel< GUM_SCALAR >
• extract() : gum::Potential< GUM_SCALAR >
• extractFrom() : gum::MultiDimContainer< GUM_SCALAR >