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

- n -

• N() : gum::learning::ScoreBIC
• Name() : ticpp::Attribute, TiXmlAttribute
• name() : gum::aggregator::MultiDimAggregator< GUM_SCALAR >, gum::AggregatorDecomposition< GUM_SCALAR >, gum::MultiDimArray< GUM_SCALAR >, gum::MultiDimBijArray< GUM_SCALAR >, gum::MultiDimBucket< GUM_SCALAR >, gum::MultiDimFunctionGraph< GUM_SCALAR, TerminalNodePolicy >, gum::MultiDimICIModel< GUM_SCALAR >, gum::MultiDimImplementation< GUM_SCALAR >, gum::MultiDimLogit< GUM_SCALAR >, gum::MultiDimNoisyAND< GUM_SCALAR >, gum::MultiDimNoisyORCompound< GUM_SCALAR >, gum::MultiDimNoisyORNet< GUM_SCALAR >, gum::MultiDimSparse< GUM_SCALAR >, gum::prm::GroundedInference< GUM_SCALAR >, gum::prm::o3prm::O3Aggregate, gum::prm::o3prm::O3Attribute, gum::prm::o3prm::O3Class, gum::prm::o3prm::O3Instance, gum::prm::o3prm::O3InstanceParameter, gum::prm::o3prm::O3Interface, gum::prm::o3prm::O3InterfaceElement, gum::prm::o3prm::O3IntType, gum::prm::o3prm::O3Parameter, gum::prm::o3prm::O3RealType, gum::prm::o3prm::O3ReferenceSlot, gum::prm::o3prm::O3System, gum::prm::o3prm::O3Type, gum::prm::o3prmr::O3prmrSession< GUM_SCALAR >, gum::prm::PRMInference< GUM_SCALAR >, gum::prm::PRMObject, gum::prm::PRMType, gum::prm::StructuredInference< GUM_SCALAR >, gum::prm::SVE< GUM_SCALAR >, gum::prm::SVED< GUM_SCALAR >, gum::Variable, gum::VariableNodeMap
• nameFromId() : gum::EssentialGraph, gum::learning::IBNLearner::Database, gum::learning::IBNLearner
• NameGenerator() : gum::prm::NameGenerator
• names() : gum::GraphicalModel, gum::learning::IBNLearner::Database, gum::learning::IBNLearner
• NameTStr() : TiXmlAttribute
• NanodbcParser() : gum::learning::NanodbcParser
• nbAlloc() : gum::SmallObjectAllocator
• nbCall() : gum::MultiDimFunctionGraphOperator< GUM_SCALAR, FUNCTOR, TerminalNodePolicy >
• nbCols() : gum::learning::IBNLearner
• nbColumns() : gum::learning::NanodbcParser
• nbDealloc() : gum::SmallObjectAllocator
• nbGenerators() : gum::learning::DBRowGeneratorSet
• nbLHSIds() : gum::learning::IdCondSet
• nbLine() : gum::learning::CSVParser, gum::learning::NanodbcParser
• nbModa() : gum::AbstractLeaf, gum::ComposedLeaf, gum::ConcreteLeaf< AttributeSelection, isScalar >
• nbObservation() : gum::ITestPolicy< GUM_SCALAR >, gum::NodeDatabase< AttributeSelection, isScalar >
• nbObsTable() : gum::LeastSquareTestPolicy< GUM_SCALAR >
• nbOperations() : 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 >
• nbProcessingThreads_() : gum::learning::IDatabaseTable< T_DATA >
• nbrDim() : gum::Instantiation, gum::MultiDimDecorator< GUM_SCALAR >, gum::MultiDimImplementation< GUM_SCALAR >, gum::MultiDimInterface, gum::SetInst
• nbrDrawnVar() : gum::GibbsOperator< GUM_SCALAR >
• nbrEvidence() : gum::GraphicalModelInference< GUM_SCALAR >
• nbrHardEvidence() : gum::GraphicalModelInference< GUM_SCALAR >
• nbRHSIds() : gum::learning::IdCondSet
• nbrIterations() : gum::ApproximationScheme, gum::IApproximationSchemeConfiguration, gum::learning::IBNLearner
• nbrJointTargets() : gum::JointTargetedInference< GUM_SCALAR >, gum::JointTargetedMRFInference< GUM_SCALAR >
• nbrNodes() : gum::IBayesNetGenerator< GUM_SCALAR, ICPTGenerator >
• nbrOccurences() : gum::SetInst
• nbRows() : gum::learning::IBNLearner::Database, gum::learning::IBNLearner, gum::learning::IDatabaseTable< T_DATA >
• nbrSoftEvidence() : gum::GraphicalModelInference< GUM_SCALAR >
• nbrTargets() : gum::MarginalTargetedInference< GUM_SCALAR >, gum::MarginalTargetedMRFInference< GUM_SCALAR >
• nbRunningThreadsExecutors() : gum::ThreadExecutorBase, gum::threadsOMP::ThreadExecutor, gum::threadsSTL::ThreadExecutor
• nbSons() : gum::InternalNode
• nbThreads() : gum::learning::IDatabaseTable< T_DATA >
• nbTranslators() : gum::learning::DBTranslatorSet
• nbVariables() : gum::learning::DBHandler< T_DATA >, gum::learning::IDatabaseTable< T_DATA >::Handler, gum::learning::IDatabaseTable< T_DATA >
• nbVarRetro() : gum::MultiDimFunctionGraphOperator< GUM_SCALAR, FUNCTOR, TerminalNodePolicy >
• nbVisitedStates() : gum::StatesChecker
• needsReordering() : 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
• needsReorderingSafe() : gum::learning::DBTranslatorSet
• needsUpdate() : gum::LeafAggregator
• NeighborDegreeSort() : gum::prm::gspan::DFSTree< GUM_SCALAR >::NeighborDegreeSort
• neighbours() : gum::EdgeGraphPart, gum::EssentialGraph, gum::UGmodel
• NetReader() : gum::NetReader< GUM_SCALAR >
• NetWriter() : gum::NetWriter< GUM_SCALAR >
• neutralElt_() : gum::aggregator::Amplitude< GUM_SCALAR >, gum::aggregator::And< GUM_SCALAR >, gum::aggregator::Count< GUM_SCALAR >, gum::aggregator::Exists< GUM_SCALAR >, gum::aggregator::Forall< GUM_SCALAR >, gum::aggregator::Max< GUM_SCALAR >, gum::aggregator::Median< GUM_SCALAR >, gum::aggregator::Min< GUM_SCALAR >, gum::aggregator::MultiDimAggregator< GUM_SCALAR >, gum::aggregator::Or< GUM_SCALAR >, gum::aggregator::Sum< GUM_SCALAR >
• new_abs() : gum::Tensor< GUM_SCALAR >
• new_log2() : gum::Tensor< GUM_SCALAR >
• new_sgn() : gum::Tensor< GUM_SCALAR >
• new_sq() : gum::Tensor< GUM_SCALAR >
• newFactory() : gum::aggregator::Amplitude< GUM_SCALAR >, gum::aggregator::And< GUM_SCALAR >, gum::aggregator::Count< GUM_SCALAR >, gum::aggregator::Exists< GUM_SCALAR >, gum::aggregator::Forall< GUM_SCALAR >, gum::aggregator::Max< GUM_SCALAR >, gum::aggregator::Median< GUM_SCALAR >, gum::aggregator::Min< GUM_SCALAR >, gum::aggregator::MultiDimAggregator< GUM_SCALAR >, gum::aggregator::Or< GUM_SCALAR >, gum::aggregator::Sum< GUM_SCALAR >, gum::DefaultEliminationSequenceStrategy, gum::DefaultJunctionTreeStrategy, gum::DefaultPartialOrderedEliminationSequenceStrategy, gum::DefaultTriangulation, gum::EliminationSequenceStrategy, gum::IncrementalTriangulation, gum::JunctionTreeStrategy, gum::MultiDimArray< GUM_SCALAR >, gum::MultiDimBijArray< GUM_SCALAR >, gum::MultiDimBucket< GUM_SCALAR >, gum::MultiDimCompleteProjection< GUM_SCALAR, TABLE >, gum::MultiDimContainer< GUM_SCALAR >, gum::MultiDimDecorator< GUM_SCALAR >, gum::MultiDimFunctionGraph< GUM_SCALAR, TerminalNodePolicy >, gum::MultiDimImplementation< GUM_SCALAR >, gum::MultiDimLogit< GUM_SCALAR >, gum::MultiDimNoisyAND< GUM_SCALAR >, gum::MultiDimNoisyORCompound< GUM_SCALAR >, gum::MultiDimNoisyORNet< GUM_SCALAR >, gum::MultiDimPartialInstantiation< GUM_SCALAR, TABLE >, gum::MultiDimReadOnly< GUM_SCALAR >, gum::MultiDimSparse< GUM_SCALAR >, gum::MultiDimWithOffset< GUM_SCALAR >, gum::OrderedEliminationSequenceStrategy, gum::OrderedTriangulation, gum::PartialOrderedEliminationSequenceStrategy, gum::PartialOrderedTriangulation, gum::prm::PRMAttribute< GUM_SCALAR >, gum::prm::PRMFormAttribute< GUM_SCALAR >, gum::prm::PRMScalarAttribute< GUM_SCALAR >, gum::StaticTriangulation, gum::Tensor< GUM_SCALAR >, gum::Triangulation, gum::UnconstrainedEliminationSequenceStrategy, gum::UnconstrainedTriangulation
• Next() : ticpp::Attribute, TiXmlAttribute
• next() : gum::LeafAggregator, gum::learning::CSVParser, gum::learning::NanodbcParser, gum::ListBucket< Val >, gum::VariableSelector
• nextHInput() : gum::credal::LRSWrapper< GUM_SCALAR >
• nextLink() : gum::Link< T >
• nextName() : gum::prm::NameGenerator
• nextNode_() : gum::AVLTreeIterator< Val, Cmp >
• nextNodeId() : gum::NodeGraphPart
• nextNodeToEliminate() : gum::DefaultEliminationSequenceStrategy, gum::DefaultPartialOrderedEliminationSequenceStrategy, gum::EliminationSequenceStrategy, gum::OrderedEliminationSequenceStrategy
• nextRow() : gum::learning::DBHandler< T_DATA >, gum::learning::IDatabaseTable< T_DATA >::Handler
• nextRow_() : gum::learning::DBInitializerFromCSV, gum::learning::DBInitializerFromSQL, gum::learning::IDBInitializer
• nextSample() : gum::GibbsOperator< GUM_SCALAR >
• NextSibling() : ticpp::Node, TiXmlNode
• NextSiblingElement() : ticpp::Node, TiXmlNode
• nextValue() : gum::ExactTerminalNodePolicy< GUM_SCALAR >, gum::ITerminalNodePolicy< GUM_SCALAR >, gum::SetTerminalNodePolicy< GUM_SCALAR >
• NoChildren() : ticpp::Node, TiXmlNode
• Node() : TiXmlHandle
• node() : gum::MultiDimFunctionGraph< GUM_SCALAR, TerminalNodePolicy >, gum::prm::gspan::InterfaceGraph< GUM_SCALAR >
• node1() : gum::learning::GraphChange
• node2() : gum::learning::GraphChange
• NodeData() : gum::prm::gspan::NodeData< GUM_SCALAR >
• NodeDatabase() : gum::NodeDatabase< AttributeSelection, isScalar >
• NodeFactory() : ticpp::Node
• NodeGraphPart() : gum::NodeGraphPart
• NodeGraphPartIterator() : gum::NodeGraphPartIterator
• NodeGraphPartIteratorSafe() : gum::NodeGraphPartIteratorSafe
• nodeId() : gum::BayesNet< GUM_SCALAR >, gum::BayesNetFragment< GUM_SCALAR >, gum::GraphicalModel, gum::IBayesNet< GUM_SCALAR >, gum::IMarkovRandomField< GUM_SCALAR >, gum::InfluenceDiagram< GUM_SCALAR >, gum::prm::ClassBayesNet< GUM_SCALAR >, gum::prm::InstanceBayesNet< GUM_SCALAR >, gum::Schedule
• nodeId2Columns() : gum::learning::IBNLearner::Database, gum::learning::IndependenceTest, gum::learning::KNML, gum::learning::ParamEstimator, gum::learning::PseudoCount, gum::learning::RecordCounter, gum::learning::Score
• NodeImp() : ticpp::NodeImp< T >
• nodeNbObservation() : gum::IncrementalGraphLearner< AttributeSelection, isScalar >, gum::IVisitableGraphLearner, gum::StatesCounter
• nodeRedundancyCheck_() : gum::MultiDimFunctionGraphManager< GUM_SCALAR, TerminalNodePolicy >
• nodes() : gum::DAGmodel, gum::EssentialGraph, gum::GraphicalModel, gum::learning::StructuralConstraintNoChildrenNodes, gum::learning::StructuralConstraintNoParentNodes, gum::MarkovBlanket, gum::NodeGraphPart, gum::prm::gspan::InterfaceGraph< GUM_SCALAR >, gum::prm::gspan::Pattern, gum::UGmodel
• nodes2ConnectedComponent() : gum::UndiGraph
• nodeset() : gum::GraphicalModel
• nodeSon() : gum::IncrementalGraphLearner< AttributeSelection, isScalar >, gum::IVisitableGraphLearner, gum::StatesCounter
• nodesPropertyFromFunction() : gum::NodeGraphPart
• nodesPropertyFromVal() : gum::NodeGraphPart
• nodesSortedByBestScore() : gum::learning::GraphChangesSelector4DiGraph< STRUCTURAL_CONSTRAINT, GRAPH_CHANGES_GENERATOR >
• nodesUnsortedWithScore() : gum::learning::GraphChangesSelector4DiGraph< STRUCTURAL_CONSTRAINT, GRAPH_CHANGES_GENERATOR >
• nodeType() : gum::credal::CredalNet< GUM_SCALAR >
• nodeValue() : gum::MultiDimFunctionGraph< GUM_SCALAR, TerminalNodePolicy >
• nodeVar() : gum::IncrementalGraphLearner< AttributeSelection, isScalar >, gum::InternalNode, gum::IVisitableGraphLearner, gum::StatesCounter
• noising() : gum::Tensor< GUM_SCALAR >
• nonRequisiteNodes_() : gum::ShaferShenoyLIMIDInference< GUM_SCALAR >
• NoPrior() : gum::learning::NoPrior
• normalize() : gum::Tensor< GUM_SCALAR >
• normalizeAsCPT() : gum::Tensor< GUM_SCALAR >
• notifyChange() : gum::MultiDimDecorator< GUM_SCALAR >
• notifyGetCompleted() : gum::learning::GraphChangesGenerator4DiGraph< STRUCT_CONSTRAINT >, gum::learning::GraphChangesGenerator4K2< STRUCT_CONSTRAINT >, gum::learning::GraphChangesGenerator4UndiGraph< STRUCT_CONSTRAINT >, gum::learning::GraphChangesGeneratorOnSubDiGraph< STRUCT_CONSTRAINT >, gum::learning::IGraphChangesGenerator4DiGraph, gum::learning::IGraphChangesGenerator4UndiGraph
• Nullify() : TiCppRCImp
• NullStream() : gum::NullStream
• numerical() : gum::DiscreteVariable, gum::DiscretizedVariable< T_TICKS >, gum::IntegerVariable, gum::LabelizedVariable, gum::NumericalDiscreteVariable, gum::RangeVariable
• NumericalDiscreteVariable() : gum::NumericalDiscreteVariable
• numericalDomain() : gum::NumericalDiscreteVariable
• numRow() : gum::learning::DBHandler< T_DATA >, gum::learning::IDatabaseTable< T_DATA >::Handler