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

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- d -

• DAG() : gum::DAG
• dag() : gum::DAGmodel, gum::MarkovBlanket
• dag2BN_ : gum::learning::IBNLearner
• DAG2BNLearner() : gum::learning::DAG2BNLearner
• dag_ : gum::DAGmodel, gum::IBayesNetGenerator< GUM_SCALAR, ICPTGenerator >, gum::prm::PRMClass< GUM_SCALAR >, gum::prm::PRMClassElementContainer< GUM_SCALAR >, gum::prm::PRMInterface< GUM_SCALAR >
• DAGCycleDetector() : gum::DAGCycleDetector
• DAGmodel() : gum::DAGmodel
• data : gum::IndexedTree< Key, Data >, gum::MultiDimArray< GUM_ELEMENT >, gum::MultiDimImplementation< GUM_ELEMENT >, gum::prm::gspan::DFSTree< GUM_SCALAR >, gum::ThreadData< T_DATA >
• data_pointer : gum::ThreadData< T_DATA >
• data_type : gum::ThreadData< T_DATA >
• Database() : gum::learning::IBNLearner::Database
• database() : gum::learning::BNDatabaseGenerator< GUM_SCALAR >, gum::learning::CachedContingencyCounter, gum::learning::DBRowGeneratorParser, gum::learning::IBNLearner, gum::learning::IDatabaseTable< T_DATA >::Handler, gum::learning::ParamEstimator, gum::learning::PseudoCount, gum::learning::RecordCounter, gum::learning::Score
• database_ : gum::learning::Prior
• databaseRanges() : gum::learning::IBNLearner
• DatabaseTable() : gum::learning::DatabaseTable
• databaseTable() : gum::learning::IBNLearner::Database
• databaseWeight() : gum::learning::IBNLearner
• DBCell() : gum::learning::DBCell
• DBInitializerFromCSV() : gum::learning::DBInitializerFromCSV
• DBInitializerFromSQL() : gum::learning::DBInitializerFromSQL
• dBN : gum::credal::VarMod2BNsMap< GUM_SCALAR >
• dbnOpt_ : gum::credal::InferenceEngine< GUM_SCALAR >
• DBRow() : gum::learning::DBRow< T_DATA >
• DBRowGenerator() : gum::learning::DBRowGenerator
• DBRowGenerator4CompleteRows() : gum::learning::DBRowGenerator4CompleteRows
• DBRowGeneratorEM() : gum::learning::DBRowGeneratorEM< GUM_SCALAR >
• DBRowGeneratorIdentity() : gum::learning::DBRowGeneratorIdentity
• DBRowGeneratorParser() : gum::learning::DBRowGeneratorParser
• DBRowGeneratorSet() : gum::learning::DBRowGeneratorSet
• DBRowGeneratorWithBN() : gum::learning::DBRowGeneratorWithBN< GUM_SCALAR >
• DBSize() : gum::learning::DBHandler< T_DATA >, gum::learning::IDatabaseTable< T_DATA >::Handler
• DBTranslatedValue() : gum::learning::DBTranslatedValue
• DBTranslator() : gum::learning::DBTranslator
• DBTranslator4ContinuousVariable() : gum::learning::DBTranslator4ContinuousVariable
• DBTranslator4DiscretizedVariable() : gum::learning::DBTranslator4DiscretizedVariable
• DBTranslator4IntegerVariable() : gum::learning::DBTranslator4IntegerVariable
• DBTranslator4LabelizedVariable() : gum::learning::DBTranslator4LabelizedVariable
• DBTranslator4NumericalDiscreteVariable() : gum::learning::DBTranslator4NumericalDiscreteVariable
• DBTranslator4RangeVariable() : gum::learning::DBTranslator4RangeVariable
• DBTranslatorSet() : gum::learning::DBTranslatorSet
• DBVector : gum::learning::DatabaseTable, gum::learning::DBHandler< T_DATA >, gum::learning::IDatabaseTable< T_DATA >, gum::learning::IDatabaseTable< T_DATA >::Handler, gum::learning::IDatabaseTableInsert4DBCell< false >, gum::learning::IDatabaseTableInsert4DBCell< true >, gum::learning::RawDatabaseTable
• deallocate() : gum::FixedAllocator, gum::SmallObjectAllocator
• deallocateNodeSons() : gum::InternalNode
• deassociateLeaf() : gum::FusionContext< isInitial >
• dec() : gum::Instantiation
• deciding_() : gum::ShaferShenoyLIMIDInference< GUM_SCALAR >
• decIn() : gum::Instantiation
• decisionNodeSize() : gum::InfluenceDiagram< GUM_SCALAR >
• decisionOrder() : gum::InfluenceDiagram< GUM_SCALAR >
• decisionOrderExists() : gum::InfluenceDiagram< GUM_SCALAR >
• DecisionTensor() : gum::DecisionTensor< GUM_SCALAR >
• declareAggregates() : gum::prm::o3prm::O3ClassFactory< GUM_SCALAR >
• declareAttributes() : gum::prm::o3prm::O3ClassFactory< GUM_SCALAR >
• decNotVar() : gum::Instantiation
• decode() : gum::LinearApproximationPolicy< GUM_ELEMENT >
• decomposable_ : gum::aggregator::MultiDimAggregator< GUM_ELEMENT >
• decomposeAggregator_() : gum::AggregatorDecomposition< GUM_SCALAR >
• decOut() : gum::Instantiation
• decreaseRemainingRows() : gum::learning::DBRowGenerator
• decVar() : gum::Instantiation
• default_ : gum::MultiDimSparse< GUM_ELEMENT >
• default_EM_noise : gum::learning::IBNLearner
• default_mean_val_by_slot : gum::HashTableConst
• default_resize_policy : gum::HashTableConst
• default_size : gum::HashTableConst
• default_uniqueness_policy : gum::HashTableConst
• DefaultEliminationSequenceStrategy() : gum::DefaultEliminationSequenceStrategy
• DefaultJunctionTreeStrategy() : gum::DefaultJunctionTreeStrategy
• DefaultPartialOrderedEliminationSequenceStrategy() : gum::DefaultPartialOrderedEliminationSequenceStrategy
• DefaultTriangulation() : gum::DefaultTriangulation
• defaultValue : gum::MultiDimFunctionGraph< GUM_ELEMENT, TerminalNodePolicy >
• degree_list : gum::prm::gspan::EdgeGrowth< GUM_SCALAR >
• degreesOfFreedom_() : gum::learning::IndependenceTest
• deleteFunctionGraph_() : gum::IOperatorStrategy< GUM_ELEMENT >
• deleteSubTree_() : gum::BinSearchTree< Val, Cmp, Node >
• deleteSubtree_() : gum::AVLTree< Val, Cmp >
• deltaScore() : gum::learning::GraphChangesSelector4DiGraph< INVARIABLE_CONSTRAINT_TYPE, VARIABLE_CONSTRAINT_TYPE >
• depth : gum::prm::ParamScopeData< GUM_SCALAR >
• descendants() : gum::DAGmodel, gum::DiGraph, gum::EssentialGraph, gum::MarkovBlanket
• description() : gum::Variable
• detach() : gum::__sig__::BasicSignaler< Args >
• detachFromTarget() : gum::__sig__::BasicSignaler< Args >
• detachFromTree_() : gum::BinSearchTreeIterator< Val, Cmp, Node >
• deterministicTensor() : gum::Tensor< GUM_SCALAR >
• DFSCode() : gum::prm::gspan::DFSCode
• DFSTree() : gum::prm::gspan::DFSTree< GUM_SCALAR >
• DFSTree< GUM_SCALAR > : gum::prm::gspan::EdgeGrowth< GUM_SCALAR >
• DG1Node() : gum::O4DGContext
• DG2Node() : gum::O4DGContext
• difference_type : gum::Bijection< T1, T2 >, gum::BijectionImplementation< T1, T2, Gen >, gum::BijectionIterator< T1, T2 >, gum::BijectionIteratorSafe< T1, T2 >, gum::HashTable< Key, Val >, gum::HashTableConstIteratorSafe< Key, Val >, gum::Heap< Val, Cmp >, gum::learning::DatabaseTable, gum::learning::DBHandler< T_DATA >, gum::learning::IDatabaseTable< T_DATA >, gum::learning::IDatabaseTable< T_DATA >::Handler, gum::learning::IDatabaseTable< T_DATA >::HandlerSafe, gum::learning::IdCondSetIterator, gum::learning::RawDatabaseTable, gum::List< Val >, gum::ListConstIterator< Val >, gum::ListConstIteratorSafe< Val >, gum::ListIterator< Val >, gum::ListIteratorSafe< Val >, gum::MultiPriorityQueue< Val, Priority, Cmp >, gum::NodeGraphPartIterator, gum::NodeGraphPartIteratorSafe, gum::PriorityQueue< Val, Priority, Cmp >, gum::PriorityQueueImplementation< Val, Priority, Cmp, Gen >, gum::Sequence< Key >, gum::SequenceImplementation< Key, Gen >, gum::SequenceIteratorSafe< Key >, gum::Set< Key >, gum::SetIterator< Key >, gum::SetIteratorSafe< Key >, gum::SortedPriorityQueue< Val, Priority, Cmp >, HashTableConstIterator< Key, Val >, HashTableIterator< Key, Val >
• difficulty() : gum::BNdistance< GUM_SCALAR >
• diffSet() : gum::Sequence< Key >
• DiGraph() : gum::DiGraph
• DiGraphListener() : gum::DiGraphListener
• dim() : gum::IBayesNet< GUM_SCALAR >, gum::IMarkovRandomField< GUM_SCALAR >
• directedPath() : gum::DiGraph
• directedUnorientedPath() : gum::DiGraph
• Dirichlet() : gum::Dirichlet
• DirichletPriorFromBN() : gum::learning::DirichletPriorFromBN< GUM_SCALAR >
• DirichletPriorFromDatabase() : gum::learning::DirichletPriorFromDatabase
• disableEpsilon() : gum::ApproximationScheme, gum::IApproximationSchemeConfiguration, gum::learning::IBNLearner
• disableMaxIter() : gum::ApproximationScheme, gum::IApproximationSchemeConfiguration, gum::learning::IBNLearner
• disableMaxTime() : gum::ApproximationScheme, gum::IApproximationSchemeConfiguration, gum::learning::IBNLearner
• disableMinEpsilonRate() : gum::ApproximationScheme, gum::IApproximationSchemeConfiguration, gum::learning::IBNLearner
• discount() : gum::FMDP< GUM_ELEMENT >
• discountFactor_ : gum::StructuredPlaner< GUM_ELEMENT >
• discoverPatterns() : gum::prm::GSpan< GUM_SCALAR >
• discr_val : gum::learning::DBTranslatedValue
• DiscreteGraphicalModel() : gum::DiscreteGraphicalModel
• DiscreteVariable() : gum::DiscreteVariable
• DiscretizedLabelMode : gum::learning::BNDatabaseGenerator< GUM_SCALAR >, gum::learning::KTBNDatabaseGenerator< GUM_SCALAR >
• DiscretizedVariable() : gum::DiscretizedVariable< T_TICKS >
• dispatchMarginalsToThreads_() : gum::credal::InferenceEngine< GUM_SCALAR >
• displayStats() : gum::SmallObjectAllocator
• distributeProgress() : gum::learning::IBNLearner
• distributeStop() : gum::learning::IBNLearner
• distributingMessage_() : gum::ShaferShenoyLIMIDInference< GUM_SCALAR >
• disturbAugmCPT() : gum::SimpleCPTDisturber< GUM_SCALAR >
• disturbReducCPT() : gum::SimpleCPTDisturber< GUM_SCALAR >
• divideEvenZero() : gum::DecisionTensor< GUM_SCALAR >
• doc : gum::XmlDocument::Impl
• DoCalculus() : gum::DoCalculus< GUM_SCALAR >
• doCalculus() : gum::DoCalculus< GUM_SCALAR >
• doCalculusWithObservation() : gum::DoCalculus< GUM_SCALAR >
• doDdpOrientation_() : gum::learning::FCI
• doing() : gum::CausalFormula< GUM_SCALAR >, gum::CausalImpact< GUM_SCALAR >
• doingNames() : gum::CausalFormula< GUM_SCALAR >, gum::CausalImpact< GUM_SCALAR >
• domain() : gum::ContinuousVariable< GUM_SCALAR >, gum::DiscreteVariable, gum::DiscretizedVariable< T_TICKS >, gum::IntegerVariable, gum::LabelizedVariable, gum::NumericalDiscreteVariable, gum::RangeVariable, gum::Variable
• domain_sizes_ : gum::EliminationSequenceStrategy, gum::Triangulation
• domainSize() : gum::credal::CredalNet< GUM_SCALAR >, gum::DiscreteVariable, gum::DiscretizedVariable< T_TICKS >, gum::Instantiation, gum::IntegerVariable, gum::IScheduleMultiDim, gum::LabelizedVariable, 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::learning::IBNLearner, gum::learning::KTBNLearner< GUM_SCALAR >, gum::MultiDimDecorator< GUM_ELEMENT >, gum::MultiDimImplementation< GUM_ELEMENT >, gum::MultiDimInterface, gum::NumericalDiscreteVariable, gum::RangeVariable, gum::ScheduleMultiDim< TABLE >, gum::SetInst
• domainSizes() : gum::EliminationSequenceStrategy, gum::GraphicalModelInference< GUM_SCALAR >, gum::learning::DatabaseTable, gum::learning::IBNLearner::Database, gum::learning::IBNLearner, gum::learning::KTBNLearner< GUM_SCALAR >, gum::Triangulation
• domainSizeSafe() : gum::learning::DBTranslatorSet
• dotNodeLabel() : gum::NodeGraphPart
• downdateScore() : gum::VariableSelector
• downLeft() : gum::BinSearchTreeIterator< Val, Cmp, Node >
• downRight() : gum::BinSearchTreeIterator< Val, Cmp, Node >
• draw() : gum::DiscretizedVariable< T_TICKS >, gum::IDiscretizedVariable, gum::Tensor< GUM_SCALAR >
• draw_() : gum::GibbsSampling< GUM_SCALAR >, gum::ImportanceSampling< GUM_SCALAR >, gum::MonteCarloSampling< GUM_SCALAR >, gum::SamplingInference< GUM_SCALAR >, gum::WeightedSampling< GUM_SCALAR >
• drawSample_() : gum::MCBNDistance< GUM_SCALAR >
• drawSamples() : gum::learning::BNDatabaseGenerator< GUM_SCALAR >, gum::learning::KTBNDatabaseGenerator< GUM_SCALAR >
• dSeparation() : gum::DAG
• dSeparationAlgorithm() : gum::dSeparationAlgorithm
• DSLReader() : gum::DSLReader< GUM_SCALAR >
• DSLWriter() : gum::DSLWriter< GUM_SCALAR >
• duplicate() : gum::__sig__::Connector< TargetClass, Args >, gum::__sig__::IConnector< Args >
• duplicateTarget() : gum::__sig__::BasicSignaler< Args >
• dynamicExpectations() : gum::credal::InferenceEngine< GUM_SCALAR >
• dynamicExpectations_() : gum::credal::InferenceEngine< GUM_SCALAR >
• dynamicExpMax() : gum::credal::InferenceEngine< GUM_SCALAR >
• dynamicExpMax_ : gum::credal::InferenceEngine< GUM_SCALAR >
• dynamicExpMin() : gum::credal::InferenceEngine< GUM_SCALAR >
• dynamicExpMin_ : gum::credal::InferenceEngine< GUM_SCALAR >
• dynExpe : gum::credal::InferenceEngine< GUM_SCALAR >