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

- d -

• DAG() : gum::DAG
• dag() : gum::DAGmodel, gum::MarkovBlanket, gum::prm::ClassDependencyGraph< GUM_SCALAR >, gum::Schedule
• DAG2BNLearner() : gum::learning::DAG2BNLearner
• dag_() : gum::prm::PRMClass< GUM_SCALAR >, gum::prm::PRMClassElementContainer< GUM_SCALAR >, gum::prm::PRMInterface< GUM_SCALAR >
• DAGCycleDetector() : gum::DAGCycleDetector
• DAGmodel() : gum::DAGmodel
• data() : gum::prm::gspan::DFSTree< GUM_SCALAR >, TiXmlString
• Database() : gum::learning::IBNLearner::Database
• database() : gum::learning::BNDatabaseGenerator< GUM_SCALAR >, gum::learning::DBRowGeneratorParser, gum::learning::IBNLearner, gum::learning::IDatabaseTable< T_DATA >::Handler, gum::learning::IndependenceTest, gum::learning::KNML, gum::learning::ParamEstimator, gum::learning::PseudoCount, gum::learning::RecordCounter, gum::learning::Score
• 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
• 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
• 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 >
• Declaration() : ticpp::Declaration
• declareAggregates() : gum::prm::o3prm::O3ClassFactory< GUM_SCALAR >
• declareAttributes() : gum::prm::o3prm::O3ClassFactory< GUM_SCALAR >
• decNotVar() : gum::Instantiation
• decode() : gum::LinearApproximationPolicy< GUM_SCALAR >
• decomposeAggregator_() : gum::AggregatorDecomposition< GUM_SCALAR >
• decOut() : gum::Instantiation
• decreaseRemainingRows() : gum::learning::DBRowGenerator
• DecRef() : TiCppRCImp
• decVar() : gum::Instantiation
• DefaultEliminationSequenceStrategy() : gum::DefaultEliminationSequenceStrategy
• DefaultJunctionTreeStrategy() : gum::DefaultJunctionTreeStrategy
• DefaultPartialOrderedEliminationSequenceStrategy() : gum::DefaultPartialOrderedEliminationSequenceStrategy
• DefaultTriangulation() : gum::DefaultTriangulation
• degreesOfFreedom() : gum::Chi2
• deleteFunctionGraph_() : gum::IOperatorStrategy< GUM_SCALAR >
• DeleteSpawnedWrappers() : TiCppRC
• deleteSubTree_() : gum::BinSearchTree< Val, Cmp, Node >
• deleteSubtree_() : gum::AVLTree< Val, Cmp >
• descendants() : gum::ArcGraphPart, gum::DAGmodel
• description() : gum::Variable
• detachFromTree_() : gum::BinSearchTreeIterator< Val, Cmp, Node >
• deterministicTensor() : gum::Tensor< GUM_SCALAR >
• DFSCode() : gum::prm::gspan::DFSCode
• DFSTree() : gum::prm::gspan::DFSTree< GUM_SCALAR >
• DG1Node() : gum::O4DGContext
• DG2Node() : gum::O4DGContext
• 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::ArcGraphPart
• directedUnorientedPath() : gum::ArcGraphPart
• 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
• discoverPatterns() : gum::prm::GSpan< GUM_SCALAR >
• DiscreteVariable() : gum::DiscreteVariable
• DiscretizedVariable() : gum::DiscretizedVariable< T_TICKS >
• displatchMarginalsToThreads_() : 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 >
• Document() : ticpp::Document
• DoIndent() : TiXmlPrinter
• DoLineBreak() : TiXmlPrinter
• domain() : gum::ContinuousVariable< GUM_SCALAR >, gum::DiscreteVariable, gum::DiscretizedVariable< T_TICKS >, gum::IntegerVariable, gum::LabelizedVariable, gum::NumericalDiscreteVariable, gum::RangeVariable, gum::Variable
• 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::MultiDimDecorator< GUM_SCALAR >, gum::MultiDimImplementation< GUM_SCALAR >, 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::Triangulation
• domainSizeSafe() : gum::learning::DBTranslatorSet
• DoubleValue() : TiXmlAttribute
• 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 >
• drawSamples() : gum::learning::BNDatabaseGenerator< GUM_SCALAR >
• dSeparation() : gum::DAG
• dSeparationAlgorithm() : gum::dSeparationAlgorithm
• DSLReader() : gum::DSLReader< GUM_SCALAR >
• DSLWriter() : gum::DSLWriter< GUM_SCALAR >
• dynamicExpectations() : gum::credal::InferenceEngine< GUM_SCALAR >
• dynamicExpectations_() : gum::credal::InferenceEngine< GUM_SCALAR >
• dynamicExpMax() : gum::credal::InferenceEngine< GUM_SCALAR >
• dynamicExpMin() : gum::credal::InferenceEngine< GUM_SCALAR >