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

- u -

• UAIBNReader() : gum::UAIBNReader< GUM_SCALAR >
• UAIBNWriter() : gum::UAIBNWriter< GUM_SCALAR >
• UAIMRFReader() : gum::UAIMRFReader< GUM_SCALAR >
• UAIMRFWriter() : gum::UAIMRFWriter< GUM_SCALAR >
• UGmodel() : gum::UGmodel
• UnconstrainedEliminationSequenceStrategy() : gum::UnconstrainedEliminationSequenceStrategy
• UnconstrainedTriangulation() : gum::UnconstrainedTriangulation
• UndiGraph() : gum::UndiGraph
• UndiGraphListener() : gum::UndiGraphListener
• undirectedPath() : gum::EdgeGraphPart
• undo() : gum::ScheduleBinaryCombination< TABLE1, TABLE2, TABLE_RES >, gum::ScheduleOperator, gum::ScheduleProjection< TABLE >, gum::ScheduleStorage< TABLE, CONTAINER >
• uniformTensor() : gum::Tensor< GUM_SCALAR >
• uninstallArc_() : gum::BayesNetFragment< GUM_SCALAR >
• uninstallCPT() : gum::BayesNetFragment< GUM_SCALAR >
• uninstallCPT_() : gum::BayesNetFragment< GUM_SCALAR >
• uninstallNode() : gum::BayesNetFragment< GUM_SCALAR >
• uniquenessPolicy() : gum::BinSearchTree< Val, Cmp, Node >
• Unknown() : TiXmlHandle
• unnormalizedJointPosterior_() : gum::JointTargetedInference< GUM_SCALAR >, gum::JointTargetedMRFInference< GUM_SCALAR >, gum::LazyPropagation< GUM_SCALAR >, gum::ShaferShenoyInference< GUM_SCALAR >, gum::ShaferShenoyMRFInference< 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 >
• unregisterTree_() : gum::AVLTreeIterator< Val, Cmp >
• 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, gum::learning::SimpleMiic
• unshieldedTriplesMiic_() : gum::learning::Miic, gum::learning::SimpleMiic
• 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
• updateAfterExecution() : gum::Schedule
• updateAllAssociatedLeaves() : gum::FusionContext< isInitial >
• updateApproximationScheme() : gum::ApproximationScheme
• updateArgs() : gum::ScheduleBinaryCombination< TABLE1, TABLE2, TABLE_RES >, gum::ScheduleOperator, gum::ScheduleProjection< TABLE >, gum::ScheduleStorage< TABLE, CONTAINER >
• 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 >
• 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::ShaferShenoyMRFInference< GUM_SCALAR >, gum::VariableElimination< GUM_SCALAR >
• updateOutdatedTensors_() : 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::ShaferShenoyMRFInference< GUM_SCALAR >, gum::VariableElimination< GUM_SCALAR >
• updatePair() : gum::FusionContext< isInitial >
• updateProbaTriples_() : gum::learning::Miic, gum::learning::SimpleMiic
• updateSamplingNodes_() : gum::GibbsOperator< GUM_SCALAR >
• updateScore() : gum::VariableSelector
• updateScoresAfterAppliedChanges() : gum::learning::GraphChangesSelector4DiGraph< STRUCTURAL_CONSTRAINT, GRAPH_CHANGES_GENERATOR >
• 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
• useBDeuPrior() : gum::learning::BNLearner< GUM_SCALAR >, gum::learning::IBNLearner
• useCache() : gum::learning::CorrectedMutualInformation, gum::learning::IndependenceTest, gum::learning::KNML, gum::learning::Score, gum::VariableLog2ParamComplexity
• useCnrCache() : gum::learning::CorrectedMutualInformation
• useCrossValidationFold() : gum::learning::IBNLearner
• useDatabaseRanges() : gum::learning::IBNLearner
• useDirichletPrior() : gum::learning::BNLearner< GUM_SCALAR >, gum::learning::IBNLearner
• useEM() : gum::learning::BNLearner< GUM_SCALAR >, gum::learning::IBNLearner
• useEMWithDiffCriterion() : gum::learning::BNLearner< GUM_SCALAR >, gum::learning::IBNLearner
• useEMWithRateCriterion() : gum::learning::BNLearner< GUM_SCALAR >, gum::learning::IBNLearner
• useGreedyHillClimbing() : gum::learning::BNLearner< GUM_SCALAR >, gum::learning::IBNLearner
• useHCache() : gum::learning::CorrectedMutualInformation
• useICache() : gum::learning::CorrectedMutualInformation
• useK2() : gum::learning::BNLearner< GUM_SCALAR >, gum::learning::IBNLearner
• useKCache() : gum::learning::CorrectedMutualInformation
• useLocalSearchWithTabuList() : gum::learning::BNLearner< GUM_SCALAR >, gum::learning::IBNLearner
• useMDL() : gum::learning::CorrectedMutualInformation
• useMDLCorrection() : gum::learning::BNLearner< GUM_SCALAR >, gum::learning::IBNLearner
• useMIIC() : gum::learning::BNLearner< GUM_SCALAR >, gum::learning::IBNLearner
• useNewQuery() : gum::learning::NanodbcParser
• useNewStream() : gum::learning::CSVParser
• useNML() : gum::learning::CorrectedMutualInformation
• useNMLCorrection() : gum::learning::BNLearner< GUM_SCALAR >, gum::learning::IBNLearner
• useNoCorr() : gum::learning::CorrectedMutualInformation
• useNoCorrection() : gum::learning::BNLearner< GUM_SCALAR >, gum::learning::IBNLearner
• useNoPrior() : gum::learning::BNLearner< GUM_SCALAR >, gum::learning::IBNLearner
• useScoreAIC() : gum::learning::BNLearner< GUM_SCALAR >, gum::learning::IBNLearner
• useScoreBD() : gum::learning::BNLearner< GUM_SCALAR >, gum::learning::IBNLearner
• useScoreBDeu() : gum::learning::BNLearner< GUM_SCALAR >, gum::learning::IBNLearner
• useScoreBIC() : gum::learning::BNLearner< GUM_SCALAR >, gum::learning::IBNLearner
• useScoreK2() : gum::learning::BNLearner< GUM_SCALAR >, gum::learning::IBNLearner
• useScoreLog2Likelihood() : gum::learning::BNLearner< GUM_SCALAR >, gum::learning::IBNLearner
• useSmoothingPrior() : gum::learning::BNLearner< GUM_SCALAR >, gum::learning::IBNLearner
• UTGenerator() : gum::UTGenerator
• utility() : gum::InfluenceDiagram< GUM_SCALAR >
• utilityNodeSize() : gum::InfluenceDiagram< GUM_SCALAR >