- b -

• back() : gum::List< Val, Alloc > , gum::SequenceImplementation< Key, Alloc, Gen > , gum::SplayTree< Element >
• barrenNodes() : gum::BarrenNodesFinder
• BarrenNodesFinder() : gum::BarrenNodesFinder
• barrenPotentials() : gum::BarrenNodesFinder
• basename() : gum::MultiDimImplementation< GUM_SCALAR >
• BayesBall() : gum::BayesBall
• BayesNet() : gum::BayesNet< GUM_SCALAR >
• bayesNet() : gum::BayesNetFactory< GUM_SCALAR >
• BayesNetFactory() : gum::BayesNetFactory< GUM_SCALAR >
• BayesNetFragment() : gum::BayesNetFragment< GUM_SCALAR >
• BayesNetInference() : gum::BayesNetInference< GUM_SCALAR >
• becomeCastDescendant() : gum::prm::PRMAttribute< GUM_SCALAR > , gum::prm::PRMFormAttribute< GUM_SCALAR > , gum::prm::PRMScalarAttribute< GUM_SCALAR >
• begin() : gum::BijectionImplementation< T1, T2, Alloc, Gen > , gum::BinSearchTree< Val, Cmp, Node > , gum::HashTable< Key, Val, Alloc > , gum::LeafAggregator , gum::learning::GraphChangesGenerator4DiGraph< STRUCT_CONSTRAINT > , gum::learning::GraphChangesGenerator4K2< STRUCT_CONSTRAINT > , gum::learning::GraphChangesGenerator4UndiGraph< STRUCT_CONSTRAINT > , gum::learning::GraphChangesGeneratorOnSubDiGraph< STRUCT_CONSTRAINT > , gum::learning::IDatabaseTable< T_DATA, ALLOC > , gum::learning::IDatabaseTable< T_DATA, ALLOC >::Handler , gum::learning::IdCondSet< ALLOC > , gum::learning::IGraphChangesGenerator4DiGraph , gum::learning::IGraphChangesGenerator4UndiGraph , gum::List< Val, Alloc > , gum::NodeGraphPart , gum::prm::PRMInstance< GUM_SCALAR > , gum::prm::PRMInterface< GUM_SCALAR > , gum::prm::PRMSystem< GUM_SCALAR > , gum::SequenceImplementation< Key, Alloc, Gen > , gum::Set< Key, Alloc > , gum::VariableSelector , ticpp::Iterator< T >
• beginActions() : gum::AbstractSimulator , gum::FactorySimulator , gum::FMDP< GUM_SCALAR > , gum::FMDPSimulator , gum::TaxiSimulator
• beginInvRef() : gum::prm::PRMInstance< GUM_SCALAR >
• beginMultipleChanges() : gum::MultiDimContainer< GUM_SCALAR > , gum::MultiDimDecorator< GUM_SCALAR > , gum::MultiDimImplementation< GUM_SCALAR >
• beginPairs() : gum::FusionContext< isInitial >
• beginSafe() : gum::ActionSet , gum::ArgMaxSet< GUM_SCALAR_VAL, GUM_SCALAR_SEQ > , gum::BijectionImplementation< T1, T2, Alloc, Gen > , gum::HashTable< Key, Val, Alloc > , gum::learning::IDatabaseTable< T_DATA, ALLOC > , gum::learning::IdCondSet< ALLOC > , gum::List< Val, Alloc > , gum::NodeGraphPart , gum::SequenceImplementation< Key, Alloc, Gen > , gum::Set< Key, Alloc >
• beginTopologyTransformation() : gum::BayesNet< GUM_SCALAR >
• beginValues() : gum::ExactTerminalNodePolicy< GUM_SCALAR > , gum::ITerminalNodePolicy< GUM_SCALAR > , gum::SetTerminalNodePolicy< GUM_SCALAR >
• beginVariables() : gum::AbstractSimulator , gum::FactorySimulator , gum::FMDP< GUM_SCALAR > , gum::FMDPSimulator , gum::TaxiSimulator
• belongs() : gum::ContinuousVariable< GUM_SCALAR > , gum::RangeVariable
• belongsTo() : gum::prm::PRMClassElementContainer< GUM_SCALAR >
• bestAlmostSimplicialNode() : gum::SimplicialSet
• bestChange() : gum::learning::GraphChangesSelector4DiGraph< STRUCTURAL_CONSTRAINT, GRAPH_CHANGES_GENERATOR, ALLOC >
• bestDBCell() : gum::learning::DBCell
• bestQuasiSimplicialNode() : gum::SimplicialSet
• bestScore() : gum::learning::GraphChangesSelector4DiGraph< STRUCTURAL_CONSTRAINT, GRAPH_CHANGES_GENERATOR, ALLOC >
• bestSimplicialNode() : gum::SimplicialSet
• bestType() : gum::learning::DBCell
• bhattacharya() : gum::BNdistance< GUM_SCALAR >
• BIFReader() : gum::BIFReader< GUM_SCALAR >
• BIFWriter() : gum::BIFWriter< GUM_SCALAR >
• BIFXMLBNReader() : gum::BIFXMLBNReader< GUM_SCALAR >
• BIFXMLBNWriter() : gum::BIFXMLBNWriter< GUM_SCALAR >
• BIFXMLIDReader() : gum::BIFXMLIDReader< GUM_SCALAR >
• BIFXMLIDWriter() : gum::BIFXMLIDWriter< GUM_SCALAR >
• Bijection() : gum::Bijection< T1, T2, Alloc >
• bijection() : gum::prm::PRMInstance< GUM_SCALAR >
• BijectionImplementation() : gum::BijectionImplementation< T1, T2, Alloc, Gen >
• BijectionIterator() : gum::BijectionIterator< T1, T2 >
• BijectionIteratorSafe() : gum::BijectionIteratorSafe< T1, T2 >
• binarizingMax_() : gum::ShaferShenoyLIMIDInference< GUM_SCALAR >
• BinaryJoinTreeConverter() : gum::BinaryJoinTreeConverter
• BinaryJoinTreeConverterDefault() : gum::BinaryJoinTreeConverterDefault
• binaryRep__() : gum::credal::CNMonteCarloSampling< GUM_SCALAR, BNInferenceEngine >
• BinSearchTree() : gum::BinSearchTree< Val, Cmp, Node >
• BinSearchTreeIterator() : gum::BinSearchTreeIterator< Val, Cmp, Node >
• BinTreeNode() : gum::BinTreeNode< Val >
• Blank() : TiXmlText
• BN() : gum::BayesNetInference< GUM_SCALAR >
• bnCopy__() : gum::credal::CredalNet< GUM_SCALAR >
• BNDatabaseGenerator() : gum::learning::BNDatabaseGenerator< GUM_SCALAR >
• BNdistance() : gum::BNdistance< GUM_SCALAR >
• BNLearner() : gum::learning::BNLearner< GUM_SCALAR >
• BNLearnerListener() : gum::learning::BNLearnerListener
• BNReader() : gum::BNReader< GUM_SCALAR >
• bnToCredal() : gum::credal::CredalNet< GUM_SCALAR >
• BNVars__() : gum::learning::genericBNLearner::Database
• BNWriter() : gum::BNWriter< GUM_SCALAR >
• boolean() : gum::prm::PRMType
• bound() : gum::NodeGraphPart
• branchObs__() : gum::IncrementalGraphLearner< AttributeSelection, isScalar >
• bucket() : gum::HashTableList< Key, Val, Alloc > , gum::MultiDimBucket< GUM_SCALAR >
• bucketChanged() : gum::MultiDimBucket< GUM_SCALAR >
• bucketSize() : gum::MultiDimBucket< GUM_SCALAR >
• bufferSize() : gum::MultiDimBucket< GUM_SCALAR >
• build() : gum::prm::o3prm::O3SystemFactory< GUM_SCALAR > , gum::prm::o3prm::O3TypeFactory< GUM_SCALAR >
• buildAggregateCPF__() : gum::prm::PRMFactory< GUM_SCALAR >
• buildClasses() : gum::prm::o3prm::O3ClassFactory< GUM_SCALAR >
• BuildDetailedErrorString() : ticpp::Base
• buildElements() : gum::prm::o3prm::O3InterfaceFactory< GUM_SCALAR >
• buildEssentialGraph__() : gum::EssentialGraph
• buildFromQuartets() : gum::UAIBNReader< GUM_SCALAR > , gum::UAIMNReader< GUM_SCALAR >
• buildGraph__() : gum::prm::ClassDependencyGraph< GUM_SCALAR >
• buildHashKey__() : gum::prm::StructuredBayesBall< GUM_SCALAR >
• buildImpl() : gum::prm::PRMAggregate< GUM_SCALAR >
• buildImplementations() : gum::prm::o3prm::O3ClassFactory< GUM_SCALAR >
• buildInterfaces() : gum::prm::o3prm::O3InterfaceFactory< GUM_SCALAR >
• buildIntTypes__() : gum::prm::o3prm::O3TypeFactory< GUM_SCALAR >
• buildMarkovBlanket__() : gum::MarkovBlanket
• buildParameters() : gum::prm::o3prm::O3ClassFactory< GUM_SCALAR >
• buildPatternGraph__() : gum::prm::gspan::StrictSearch< GUM_SCALAR > , gum::prm::StructuredInference< GUM_SCALAR >
• buildRealTypes__() : gum::prm::o3prm::O3TypeFactory< GUM_SCALAR >
• buildReduceGraph__() : gum::prm::StructuredInference< GUM_SCALAR >
• buildReferenceSlots() : gum::prm::o3prm::O3ClassFactory< GUM_SCALAR >
• buildSlotChain__() : gum::prm::PRMFactory< GUM_SCALAR >
• buildTypes__() : gum::prm::o3prm::O3TypeFactory< GUM_SCALAR >
• buildValue_() : gum::aggregator::Amplitude< GUM_SCALAR > , gum::aggregator::Median< GUM_SCALAR > , gum::aggregator::MultiDimAggregator< GUM_SCALAR >
• burnIn() : gum::GibbsBNdistance< GUM_SCALAR > , gum::GibbsSampling< GUM_SCALAR >
• burnIn_() : gum::GibbsSampling< GUM_SCALAR > , gum::ImportanceSampling< GUM_SCALAR > , gum::MonteCarloSampling< GUM_SCALAR > , gum::SamplingInference< GUM_SCALAR > , gum::WeightedSampling< GUM_SCALAR >