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

- u -

• u : gum::prm::gspan::EdgeData< GUM_SCALAR > , gum::prm::gspan::EdgeGrowth< GUM_SCALAR >
• UAIBNReader() : gum::UAIBNReader< GUM_SCALAR >
• UAIBNWriter() : gum::UAIBNWriter< GUM_SCALAR >
• UAIMNReader() : gum::UAIMNReader< GUM_SCALAR >
• UAIMNWriter() : gum::UAIMNWriter< GUM_SCALAR >
• UGmodel() : gum::UGmodel
• unconditionalDecisions_ : gum::ShaferShenoyLIMIDInference< GUM_SCALAR >
• UnconstrainedEliminationSequenceStrategy() : gum::UnconstrainedEliminationSequenceStrategy
• UnconstrainedTriangulation() : gum::UnconstrainedTriangulation
• UndiGraph() : gum::UndiGraph
• UndiGraphListener() : gum::UndiGraphListener
• undirectedPath() : gum::EdgeGraphPart
• uninstallArc_() : gum::BayesNetFragment< GUM_SCALAR >
• uninstallCPT() : gum::BayesNetFragment< GUM_SCALAR >
• uninstallCPT_() : gum::BayesNetFragment< GUM_SCALAR >
• uninstallNode() : gum::BayesNetFragment< GUM_SCALAR >
• uniqueness_policy_ : gum::BinSearchTree< Val, Cmp, Node >
• uniquenessPolicy() : gum::BinSearchTree< Val, Cmp, Node >
• Unknown() : TiXmlHandle
• UNKNOWN : TiXmlNode
• unnormalizedJointPosterior_() : gum::JointTargetedInference< GUM_SCALAR > , gum::JointTargetedMNInference< GUM_SCALAR > , gum::LazyPropagation< GUM_SCALAR > , gum::ShaferShenoyInference< GUM_SCALAR > , gum::ShaferShenoyMNInference< GUM_SCALAR > , gum::VariableElimination< GUM_SCALAR >
• unobserve() : gum::prm::o3prmr::O3prmrInterpreter
• UnobserveCommand() : gum::prm::o3prmr::UnobserveCommand< GUM_SCALAR >
• unregisterSlave() : gum::MultiDimAdressable , gum::MultiDimBucket< GUM_SCALAR > , gum::MultiDimDecorator< GUM_SCALAR > , gum::MultiDimImplementation< GUM_SCALAR > , gum::MultiDimWithOffset< GUM_SCALAR >
• unsafeGet() : gum::MultiDimArray< GUM_SCALAR >
• unsafeSet() : gum::MultiDimArray< GUM_SCALAR >
• unsetEnd() : gum::Instantiation , gum::SetInst
• unsetOverflow() : gum::Instantiation , gum::SetInst
• unsharpenBN_() : gum::ImportanceSampling< GUM_SCALAR >
• unshieldedTriples_() : gum::learning::Miic
• unshieldedTriplesMiic_() : gum::learning::Miic
• unvirtualizedEraseChildren() : gum::ArcGraphPart
• unvirtualizedEraseNeighbours() : gum::EdgeGraphPart
• unvirtualizedEraseParents() : gum::ArcGraphPart
• unvirtualizedEraseSetOfArcs_() : gum::ArcGraphPart
• up() : gum::BinSearchTreeIterator< Val, Cmp, Node >
• update() : gum::Estimator< GUM_SCALAR > , gum::LeafAggregator
• update_l_ : gum::credal::CNLoopyPropagation< GUM_SCALAR >
• update_p_ : gum::credal::CNLoopyPropagation< GUM_SCALAR >
• updateAllAssociatedLeaves() : gum::FusionContext< isInitial >
• updateApproximationScheme() : gum::ApproximationScheme
• updateAssociatedLeaf() : gum::FusionContext< isInitial >
• updateCredalSets_() : gum::credal::InferenceEngine< GUM_SCALAR >
• updateDescendants_() : gum::prm::PRMClass< GUM_SCALAR > , gum::prm::PRMClassElementContainer< GUM_SCALAR > , gum::prm::PRMInterface< GUM_SCALAR >
• updateExpectations_() : gum::credal::InferenceEngine< GUM_SCALAR >
• updateFMDP() : gum::FMDPLearner< VariableAttributeSelection, RewardAttributeSelection, LearnerSelection > , gum::ILearningStrategy
• updateFunctionGraph() : gum::IMDDI< AttributeSelection, isScalar > , gum::IncrementalGraphLearner< AttributeSelection, isScalar > , gum::ITI< AttributeSelection, isScalar >
• updateGraph() : gum::IMDDI< AttributeSelection, isScalar > , gum::IncrementalGraphLearner< AttributeSelection, isScalar > , gum::ITI< AttributeSelection, isScalar >
• updateIndicatrices_() : gum::credal::CNLoopyPropagation< GUM_SCALAR >
• updateLeaf() : gum::LeafAggregator
• updateLikelyhood() : gum::LeafPair
• updateMarginals_() : gum::credal::CNLoopyPropagation< GUM_SCALAR > , gum::credal::MultipleInferenceEngine< GUM_SCALAR, BNInferenceEngine >
• updateNode_() : gum::IncrementalGraphLearner< AttributeSelection, isScalar >
• updateNodeWithObservation_() : gum::IMDDI< AttributeSelection, isScalar > , gum::IncrementalGraphLearner< AttributeSelection, isScalar > , gum::ITI< AttributeSelection, isScalar >
• updateOldMarginals_() : gum::credal::MultipleInferenceEngine< GUM_SCALAR, BNInferenceEngine >
• updateOutdatedPotentials_() : gum::GraphicalModelInference< GUM_SCALAR > , gum::LazyPropagation< GUM_SCALAR > , gum::LoopyBeliefPropagation< GUM_SCALAR > , gum::SamplingInference< GUM_SCALAR > , gum::ShaferShenoyInference< GUM_SCALAR > , gum::ShaferShenoyLIMIDInference< GUM_SCALAR > , gum::ShaferShenoyMNInference< GUM_SCALAR > , gum::VariableElimination< GUM_SCALAR >
• updateOutdatedStructure_() : gum::GraphicalModelInference< GUM_SCALAR > , gum::LazyPropagation< GUM_SCALAR > , gum::LoopyBeliefPropagation< GUM_SCALAR > , gum::SamplingInference< GUM_SCALAR > , gum::ShaferShenoyInference< GUM_SCALAR > , gum::ShaferShenoyLIMIDInference< GUM_SCALAR > , gum::ShaferShenoyMNInference< GUM_SCALAR > , gum::VariableElimination< GUM_SCALAR >
• updatePair() : gum::FusionContext< isInitial >
• updateProbaTriples_() : gum::learning::Miic
• updateScore() : gum::VariableSelector
• updateScoresAfterAppliedChanges() : gum::learning::GraphChangesSelector4DiGraph< STRUCTURAL_CONSTRAINT, GRAPH_CHANGES_GENERATOR, ALLOC >
• updateThread_() : gum::credal::MultipleInferenceEngine< GUM_SCALAR, BNInferenceEngine >
• updateTriangulation() : gum::IncrementalTriangulation
• updateVar() : gum::IncrementalGraphLearner< AttributeSelection, isScalar >
• upperBound() : gum::ContinuousVariable< GUM_SCALAR >
• upperBoundAsDouble() : gum::ContinuousVariable< GUM_SCALAR > , gum::IContinuousVariable
• use3off2() : gum::learning::genericBNLearner
• use_cache_ : gum::learning::IndependenceTest< ALLOC > , gum::learning::Score< ALLOC >
• useAprioriBDeu() : gum::learning::genericBNLearner
• useAprioriDirichlet() : gum::learning::genericBNLearner
• useAprioriSmoothing() : gum::learning::genericBNLearner
• useCache() : gum::learning::CorrectedMutualInformation< ALLOC > , gum::learning::IndependenceTest< ALLOC > , gum::learning::KNML< ALLOC > , gum::learning::Score< ALLOC > , gum::VariableLog2ParamComplexity< ALLOC >
• useCnrCache() : gum::learning::CorrectedMutualInformation< ALLOC >
• useCrossValidationFold() : gum::learning::genericBNLearner
• useDatabaseRanges() : gum::learning::genericBNLearner
• useEM() : gum::learning::genericBNLearner
• useGreedyHillClimbing() : gum::learning::genericBNLearner
• useHCache() : gum::learning::CorrectedMutualInformation< ALLOC >
• useICache() : gum::learning::CorrectedMutualInformation< ALLOC >
• useK2() : gum::learning::genericBNLearner
• useKCache() : gum::learning::CorrectedMutualInformation< ALLOC >
• useLocalSearchWithTabuList() : gum::learning::genericBNLearner
• useMDL() : gum::learning::CorrectedMutualInformation< ALLOC >
• useMDLCorrection() : gum::learning::genericBNLearner
• useMicrosoftBOM : TiXmlDocument
• useMIIC() : gum::learning::genericBNLearner
• useNewStream() : gum::learning::CSVParser< ALLOC >
• useNML() : gum::learning::CorrectedMutualInformation< ALLOC >
• useNMLCorrection() : gum::learning::genericBNLearner
• useNoApriori() : gum::learning::genericBNLearner
• useNoCorr() : gum::learning::CorrectedMutualInformation< ALLOC >
• useNoCorrection() : gum::learning::genericBNLearner
• userData : TiXmlBase
• useScoreAIC() : gum::learning::genericBNLearner
• useScoreBD() : gum::learning::genericBNLearner
• useScoreBDeu() : gum::learning::genericBNLearner
• useScoreBIC() : gum::learning::genericBNLearner
• useScoreK2() : gum::learning::genericBNLearner
• useScoreLog2Likelihood() : gum::learning::genericBNLearner
• utf8ByteTable : TiXmlBase
• UTGenerator() : gum::UTGenerator
• utility() : gum::InfluenceDiagram< GUM_SCALAR >
• utilityNodeSize() : gum::InfluenceDiagram< GUM_SCALAR >
• utilPot : gum::DecisionPotential< GUM_SCALAR >