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

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B

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D

E

F

G

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R

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~

- g -

• G2() : gum::learning::IBNLearner
• GammaLog2() : gum::GammaLog2
• gammaLog2() : gum::GammaLog2
• GeneralizedCNFWriter() : gum::GeneralizedCNFWriter< GUM_SCALAR, IApproximationPolicy >
• generate() : gum::KTBNGenerator< GUM_SCALAR >, gum::learning::DBRowGenerator4CompleteRows, gum::learning::DBRowGenerator, gum::learning::DBRowGeneratorEM< GUM_SCALAR >, gum::learning::DBRowGeneratorIdentity, gum::learning::DBRowGeneratorSet, gum::MultiDimFunctionGraphGenerator, gum::prm::ClusteredLayerGenerator< GUM_SCALAR >, gum::prm::LayerGenerator< GUM_SCALAR >, gum::prm::PRMGenerator< GUM_SCALAR >
• generateBN() : gum::IBayesNetGenerator< GUM_SCALAR, ICPTGenerator >, gum::MCBayesNetGenerator< GUM_SCALAR, ICPTGenerator, ICPTDisturber >, gum::SimpleBayesNetGenerator< GUM_SCALAR, ICPTGenerator >
• generateCPT() : gum::BayesNet< GUM_SCALAR >, gum::KTBN< GUM_SCALAR >, gum::SimpleCPTGenerator< GUM_SCALAR >
• generateCPTs() : gum::BayesNet< GUM_SCALAR >, gum::KTBN< GUM_SCALAR >
• generateID() : gum::InfluenceDiagramGenerator< GUM_SCALAR >
• generateInfEngine() : gum::prm::o3prmr::O3prmrInterpreter
• generateKTBN() : gum::KTBNGenerator< GUM_SCALAR >
• generateUT() : gum::SimpleUTGenerator, gum::UTGenerator
• generatorSet() : gum::learning::DBRowGeneratorParser
• get() : gum::aggregator::MultiDimAggregator< GUM_ELEMENT >, gum::CompleteProjectionRegister4MultiDim< GUM_ELEMENT >, gum::learning::PseudoCount, gum::MultiDimBijArray< GUM_ELEMENT >, gum::MultiDimBucket< GUM_ELEMENT >, gum::MultiDimContainer< GUM_ELEMENT >, gum::MultiDimDecorator< GUM_ELEMENT >, gum::MultiDimFunctionGraph< GUM_ELEMENT, TerminalNodePolicy >, gum::MultiDimLogit< GUM_SCALAR >, gum::MultiDimNoisyAND< GUM_SCALAR >, gum::MultiDimNoisyORCompound< GUM_SCALAR >, gum::MultiDimNoisyORNet< GUM_SCALAR >, gum::MultiDimSparse< GUM_ELEMENT >, gum::OperatorRegister4MultiDim< GUM_ELEMENT >, gum::PartialInstantiationRegister4MultiDim< GUM_ELEMENT >, gum::prm::ClassDependencyGraph< GUM_SCALAR >, gum::prm::PRMClass< GUM_SCALAR >, gum::prm::PRMClassElementContainer< GUM_SCALAR >, gum::prm::PRMInstance< GUM_SCALAR >, gum::prm::PRMInterface< GUM_SCALAR >, gum::prm::PRMSystem< GUM_SCALAR >, gum::ProjectionRegister4MultiDim< GUM_ELEMENT >, gum::VariableNodeMap
• get_() : gum::MultiDimArray< GUM_ELEMENT >, gum::MultiDimBijArray< GUM_ELEMENT >, gum::MultiDimBucket< GUM_ELEMENT >, gum::MultiDimContainer< GUM_ELEMENT >, gum::MultiDimDecorator< GUM_ELEMENT >, gum::MultiDimFunctionGraph< GUM_ELEMENT, TerminalNodePolicy >, gum::MultiDimReadOnly< GUM_ELEMENT >, gum::MultiDimSparse< GUM_ELEMENT >, gum::MultiDimWithOffset< GUM_ELEMENT >
• get_binaryCPT_max() : gum::credal::CredalNet< GUM_SCALAR >
• get_binaryCPT_min() : gum::credal::CredalNet< GUM_SCALAR >
• getAggregatorInstance() : gum::IOperatorStrategy< GUM_ELEMENT >, gum::MDDOperatorStrategy< GUM_ELEMENT >, gum::TreeOperatorStrategy< GUM_ELEMENT >
• getApproximationSchemeMsg() : gum::credal::InferenceEngine< GUM_SCALAR >
• getArgMaxFunctionInstance() : gum::IOperatorStrategy< GUM_ELEMENT >, gum::MDDOperatorStrategy< GUM_ELEMENT >, gum::TreeOperatorStrategy< GUM_ELEMENT >
• getArray() : gum::prm::PRMSystem< GUM_SCALAR >
• getArrayType() : gum::prm::PRMSystem< GUM_SCALAR >
• getBackDoorTree() : gum::DoCalculus< GUM_SCALAR >
• getBayesNet() : gum::learning::DBRowGeneratorWithBN< GUM_SCALAR >
• getBNInference() : gum::prm::GroundedInference< GUM_SCALAR >
• getBNOptsFromKey() : gum::credal::VarMod2BNsMap< GUM_SCALAR >
• getByOffset() : gum::MultiDimArray< GUM_ELEMENT >
• getCastDescendant() : gum::prm::PRMAggregate< GUM_SCALAR >, gum::prm::PRMAttribute< GUM_SCALAR >, gum::prm::PRMClassElement< GUM_SCALAR >, gum::prm::PRMFormAttribute< GUM_SCALAR >, gum::prm::PRMParameter< GUM_SCALAR >, gum::prm::PRMReferenceSlot< GUM_SCALAR >, gum::prm::PRMScalarAttribute< GUM_SCALAR >, gum::prm::PRMSlotChain< GUM_SCALAR >
• getChildrenDecision_() : gum::InfluenceDiagram< GUM_SCALAR >
• getClass() : gum::prm::PRM< GUM_SCALAR >
• getClusterRatio() : gum::prm::ClusteredLayerGenerator< GUM_SCALAR >
• getCols() : gum::credal::lp::LpInterface< GUM_SCALAR >
• getContext() : gum::prm::o3prmr::O3prmrInterpreter
• getCurrent() : gum::prm::IPRMFactory, gum::prm::PRMFactory< GUM_SCALAR >
• getCurrentSample() : gum::credal::VarMod2BNsMap< GUM_SCALAR >
• getData() : gum::IndexedTree< Key, Data >
• getDecisionGraph() : gum::InfluenceDiagram< GUM_SCALAR >
• getDecomposedAggregator() : gum::AggregatorDecomposition< GUM_SCALAR >
• getDictionary() : gum::learning::DBTranslator
• getDomainSize() : gum::prm::ClusteredLayerGenerator< GUM_SCALAR >, gum::prm::LayerGenerator< GUM_SCALAR >
• getElement() : gum::SplayBinaryNode< Element >
• getEntrySize() : gum::credal::VarMod2BNsMap< GUM_SCALAR >
• getFd() : gum::SplayBinaryNode< Element >
• getFg() : gum::SplayBinaryNode< Element >
• getFrontDoorTree() : gum::DoCalculus< GUM_SCALAR >
• getFullBNOptsFromKey() : gum::credal::VarMod2BNsMap< GUM_SCALAR >
• getFunctionInstance() : gum::IOperatorStrategy< GUM_ELEMENT >, gum::MDDOperatorStrategy< GUM_ELEMENT >, gum::TreeOperatorStrategy< GUM_ELEMENT >
• getInput() : gum::credal::LRSWrapper< GUM_SCALAR >
• getInstance() : gum::prm::PRMInstance< GUM_SCALAR >
• getInstances() : gum::prm::PRMInstance< GUM_SCALAR >
• getInterface() : gum::prm::PRM< GUM_SCALAR >
• getIOFlag_() : gum::prm::PRMClassElementContainer< GUM_SCALAR >
• getLayer() : gum::prm::ClusteredLayerGenerator< GUM_SCALAR >, gum::prm::LayerGenerator< GUM_SCALAR >
• getMasterRef() : gum::MultiDimAdressable, gum::MultiDimBucket< GUM_ELEMENT >, gum::MultiDimContainer< GUM_ELEMENT >
• getMaxDFSDepth() : gum::prm::GSpan< GUM_SCALAR >
• getMaximumArity() : gum::AggregatorDecomposition< GUM_SCALAR >
• getMaxParents() : gum::prm::ClusteredLayerGenerator< GUM_SCALAR >, gum::prm::LayerGenerator< GUM_SCALAR >
• getNameGenerator() : gum::prm::PRMGenerator< GUM_SCALAR >
• getNode() : gum::IndexedTree< Key, Data >
• getNode_() : gum::BinSearchTree< Val, Cmp, Node >
• getNodeFromExternalValue_() : gum::SortedPriorityQueue< Val, Priority, Cmp >
• getNodeFromInternalValue_() : gum::SortedPriorityQueue< Val, Priority, Cmp >
• getNumberOfThreads() : gum::IThreadNumberManager, gum::learning::CachedContingencyCounter, gum::learning::CorrectedMutualInformation, gum::learning::ParamEstimator, gum::learning::PseudoCount, gum::learning::Score, gum::ThreadNumberManager
• getOffs_() : gum::MultiDimWithOffset< GUM_ELEMENT >
• getOutput() : gum::credal::LRSWrapper< GUM_SCALAR >
• getPartialTemporalOrder() : gum::InfluenceDiagram< GUM_SCALAR >
• getPaths() : gum::prm::o3prmr::O3prmrInterpreter
• getPriorType_() : gum::learning::IBNLearner
• getReducedAndOrderedInstance() : gum::MultiDimFunctionGraph< GUM_ELEMENT, TerminalNodePolicy >
• getRefAttr() : gum::prm::PRMInstance< GUM_SCALAR >
• getResult() : gum::CausalImpact< GUM_SCALAR >
• getSampleDef() : gum::credal::VarMod2BNsMap< GUM_SCALAR >
• getSystem() : gum::prm::PRM< GUM_SCALAR >
• getT0Cluster() : gum::credal::InferenceEngine< GUM_SCALAR >
• getT1Cluster() : gum::credal::InferenceEngine< GUM_SCALAR >
• getTreeInstance() : gum::MultiDimFunctionGraph< GUM_ELEMENT, TerminalNodePolicy >
• getType() : gum::learning::BDeuPrior, gum::learning::DirichletPriorFromBN< GUM_SCALAR >, gum::learning::DirichletPriorFromDatabase, gum::learning::NoPrior, gum::learning::Prior, gum::learning::SmoothingPrior
• getValType() : gum::learning::DBTranslator
• getVarMod2BNsMap() : gum::credal::InferenceEngine< GUM_SCALAR >
• getVerticesNumber() : gum::credal::LRSWrapper< GUM_SCALAR >
• getVolume() : gum::credal::LRSWrapper< GUM_SCALAR >
• getWithDefault() : gum::HashTable< Key, Val >
• GibbsBNdistance() : gum::GibbsBNdistance< GUM_SCALAR >
• GibbsOperator() : gum::GibbsOperator< GUM_SCALAR >
• GibbsSampling() : gum::GibbsSampling< GUM_SCALAR >
• goal() : gum::learning::DBRowGenerator
• graph() : gum::EliminationSequenceStrategy, gum::IncrementalTriangulation, gum::UGmodel
• GraphChange() : gum::learning::GraphChange
• GraphChangesGenerator4DiGraph() : gum::learning::GraphChangesGenerator4DiGraph< STRUCT_CONSTRAINT >
• GraphChangesGenerator4K2() : gum::learning::GraphChangesGenerator4K2< STRUCT_CONSTRAINT >
• GraphChangesGenerator4UndiGraph() : gum::learning::GraphChangesGenerator4UndiGraph< STRUCT_CONSTRAINT >
• GraphChangesGeneratorOnSubDiGraph() : gum::learning::GraphChangesGeneratorOnSubDiGraph< STRUCT_CONSTRAINT >
• GraphChangesSelector4DiGraph() : gum::learning::GraphChangesSelector4DiGraph< INVARIABLE_CONSTRAINT_TYPE, VARIABLE_CONSTRAINT_TYPE >
• GraphicalModel() : gum::GraphicalModel
• GraphicalModelInference() : gum::GraphicalModelInference< GUM_SCALAR >
• GreedyHillClimbing() : gum::learning::GreedyHillClimbing
• GreedyThickThinning() : gum::learning::GreedyThickThinning
• greedyThickThinningReversals() : gum::learning::BNLearner< GUM_SCALAR >, gum::learning::IBNLearner
• groundedBN() : gum::prm::PRMSystem< GUM_SCALAR >
• GroundedInference() : gum::prm::GroundedInference< GUM_SCALAR >
• growPattern() : gum::prm::gspan::DFSTree< GUM_SCALAR >
• GSpan() : gum::prm::GSpan< GUM_SCALAR >
• gspan() : gum::prm::StructuredInference< GUM_SCALAR >
• GTestPolicy() : gum::GTestPolicy< GUM_ELEMENT >
• GumBNReader() : gum::GumBNReader< GUM_SCALAR >
• GumBNWriter() : gum::GumBNWriter< GUM_SCALAR >
• GumIDReader() : gum::GumIDReader< GUM_SCALAR >
• GumIDWriter() : gum::GumIDWriter< GUM_SCALAR >
• GumMRFReader() : gum::GumMRFReader< GUM_SCALAR >
• GumMRFWriter() : gum::GumMRFWriter< GUM_SCALAR >