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

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• label() : gum::ContinuousVariable< GUM_SCALAR >, gum::DiscreteVariable, gum::DiscretizedVariable< T_TICKS >, gum::IntegerVariable, gum::LabelizedVariable, gum::NumericalDiscreteVariable, gum::prm::gspan::InterfaceGraph< GUM_SCALAR >, gum::prm::gspan::Pattern, gum::prm::o3prm::O3Label, gum::prm::PRMAggregate< GUM_SCALAR >, gum::RangeVariable
• label_map() : gum::prm::PRMType
• LabelData() : gum::prm::gspan::LabelData
• LabelizedVariable() : gum::LabelizedVariable
• labels() : gum::DiscreteVariable, gum::prm::gspan::InterfaceGraph< GUM_SCALAR >, gum::prm::o3prm::O3Type
• LabelSort() : gum::prm::GSpan< GUM_SCALAR >::LabelSort
• labelValue() : gum::prm::PRMAggregate< GUM_SCALAR >
• lagrangeNormalization() : gum::credal::CredalNet< GUM_SCALAR >
• last() : gum::ErrorsContainer
• lastAdded() : gum::prm::gspan::Pattern
• lastElt() : gum::prm::PRMSlotChain< GUM_SCALAR >
• lastVar_() : gum::MDDOperatorStrategy< GUM_ELEMENT >
• latentVariables() : gum::learning::ConstraintBasedLearning, gum::learning::IBNLearner, gum::learning::KTBNAdaptiveLearner< GUM_SCALAR >, gum::learning::KTBNLearner< GUM_SCALAR >, gum::learning::SimpleMiic
• latentVariablesIds() : gum::CausalModel< GUM_SCALAR >
• latentVariablesNames() : gum::CausalModel< GUM_SCALAR >
• latexQuery() : gum::CausalFormula< GUM_SCALAR >, gum::CausalImpact< GUM_SCALAR >
• LayerGenerator() : gum::prm::LayerGenerator< GUM_SCALAR >
• LazyDecider() : gum::LazyDecider
• LazyPropagation() : gum::LazyPropagation< GUM_SCALAR >
• leaf() : gum::FusionContext< isInitial >
• LeafAggregator() : gum::LeafAggregator
• leafAssociatedPair() : gum::FusionContext< isInitial >
• LeafPair() : gum::LeafPair
• learnBN() : gum::learning::BNLearner< GUM_SCALAR >, gum::learning::ConstraintBasedLearning, gum::learning::GreedyHillClimbing, gum::learning::GreedyThickThinning, gum::learning::K2, gum::learning::LocalSearchWithTabuList, gum::learning::SimpleMiic
• learnDAG() : gum::learning::ConstraintBasedLearning, gum::learning::IBNLearner
• learnDag_() : gum::learning::IBNLearner
• learnerSize() : gum::SDYNA
• learnKTBN() : gum::learning::IKTBNLearner< GUM_SCALAR >, gum::learning::KTBNAdaptiveLearner< GUM_SCALAR >, gum::learning::KTBNLearner< GUM_SCALAR >
• learnMixedStructure() : gum::learning::ConstraintBasedLearning, gum::learning::FCI, gum::learning::Miic, gum::learning::PC, gum::learning::SimpleMiic
• learnPAG() : gum::learning::FCI, gum::learning::IBNLearner
• learnPAG_() : gum::learning::IBNLearner
• learnParameters() : gum::learning::BNLearner< GUM_SCALAR >, gum::learning::KTBNLearner< GUM_SCALAR >
• learnPDAG() : gum::learning::ConstraintBasedLearning, gum::learning::IBNLearner, gum::learning::SimpleMiic
• learnPDAG_() : gum::learning::IBNLearner
• learnSkeleton() : gum::learning::CIBasedLearning, gum::learning::ConstraintBasedLearning, gum::learning::Miic
• learnStructure() : gum::learning::GreedyHillClimbing, gum::learning::GreedyThickThinning, gum::learning::K2, gum::learning::LocalSearchWithTabuList, gum::learning::SimpleMiic
• LeastSquareTestPolicy() : gum::LeastSquareTestPolicy< GUM_ELEMENT >
• leavesMap() : gum::LeafAggregator
• LEFT_CAST() : gum::prm::PRMObject
• leftChild() : gum::BinTreeNode< Val >
• leftIndex() : gum::prm::o3prm::O3Assignment, gum::prm::o3prm::O3Increment
• leftInstance() : gum::prm::o3prm::O3Assignment, gum::prm::o3prm::O3Increment
• leftmostNode() : gum::BinTreeNode< Val >
• leftReference() : gum::prm::o3prm::O3Assignment, gum::prm::o3prm::O3Increment
• leftRotation_() : gum::AVLTree< Val, Cmp >
• lessThan() : gum::credal::lp::LpExpr
• liftRatio() : gum::prm::StructuredBayesBall< GUM_SCALAR >
• likelyhood() : gum::LeafPair
• line() : gum::prm::o3prm::O3Position
• LinearApproximationPolicy() : gum::LinearApproximationPolicy< GUM_ELEMENT >
• Link() : gum::Link< T >
• LinkedList() : gum::LinkedList< T >
• List() : gum::List< Val >
• list() : gum::LinkedList< T >
• ListBucket() : gum::ListBucket< Val >
• ListConstIterator() : gum::ListConstIterator< Val >
• ListConstIteratorSafe() : gum::ListConstIteratorSafe< Val >
• Listener() : gum::Listener
• ListIterator() : gum::ListIterator< Val >
• ListIteratorSafe() : gum::ListIteratorSafe< Val >
• listMap() : gum::Set< Key >
• listMapArcs() : gum::ArcGraphPart
• listMapEdges() : gum::EdgeGraphPart
• listMapNodes() : gum::NodeGraphPart
• load() : gum::KTBN< GUM_SCALAR >
• loadFile() : gum::XmlDocument
• LocalSearchWithTabuList() : gum::learning::LocalSearchWithTabuList
• log10DomainSize() : gum::GraphicalModel
• log2() : gum::Tensor< GUM_SCALAR >
• log2Cnr() : gum::VariableLog2ParamComplexity
• log2JointProbability() : gum::IBayesNet< GUM_SCALAR >
• log2likelihood() : gum::learning::BNDatabaseGenerator< GUM_SCALAR >
• logLikelihood() : gum::learning::IBNLearner
• logObservationProbability() : gum::KTBNInference< GUM_SCALAR >
• loopApproxInference_() : gum::SamplingInference< GUM_SCALAR >
• LoopyBeliefPropagation() : gum::LoopyBeliefPropagation< GUM_SCALAR >
• LoopySamplingInference() : gum::LoopySamplingInference< GUM_SCALAR, APPROX >
• lowerBound() : gum::ContinuousVariable< GUM_SCALAR >
• lowerBoundAsDouble() : gum::ContinuousVariable< GUM_SCALAR >, gum::IContinuousVariable
• lowestNode_() : gum::AVLTree< Val, Cmp >
• lowestValue() : gum::AVLTree< Val, Cmp >
• lowLimit() : gum::LinearApproximationPolicy< GUM_ELEMENT >
• LpCol() : gum::credal::lp::LpCol
• LpExpr() : gum::credal::lp::LpExpr
• LpInterface() : gum::credal::lp::LpInterface< GUM_SCALAR >
• LpRow() : gum::credal::lp::LpRow
• LRSWrapper() : gum::credal::LRSWrapper< GUM_SCALAR >