aGrUM
0.21.0
a C++ library for (probabilistic) graphical models
- u -
UAIBNReader() :
gum::UAIBNReader< GUM_SCALAR >
UAIBNWriter() :
gum::UAIBNWriter< GUM_SCALAR >
UAIMNReader() :
gum::UAIMNReader< GUM_SCALAR >
UAIMNWriter() :
gum::UAIMNWriter< GUM_SCALAR >
UGmodel() :
gum::UGmodel
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 >
uniquenessPolicy() :
gum::BinSearchTree< Val, Cmp, Node >
Unknown() :
TiXmlHandle
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
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
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
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
useScoreAIC() :
gum::learning::genericBNLearner
useScoreBD() :
gum::learning::genericBNLearner
useScoreBDeu() :
gum::learning::genericBNLearner
useScoreBIC() :
gum::learning::genericBNLearner
useScoreK2() :
gum::learning::genericBNLearner
useScoreLog2Likelihood() :
gum::learning::genericBNLearner
UTGenerator() :
gum::UTGenerator
utility() :
gum::InfluenceDiagram< GUM_SCALAR >
utilityNodeSize() :
gum::InfluenceDiagram< GUM_SCALAR >