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

A

B

C

D

E

F

G

H

I

J

K

L

M

N

O

P

Q

R

S

T

U

V

W

X

Y

Z

_

- c -

• C : gum::learning::KTBNAdaptiveLearner< GUM_SCALAR >
• c : gum::prm::ClusteredLayerGenerator< GUM_SCALAR >::MyData, gum::prm::LayerGenerator< GUM_SCALAR >::LayerData, gum::prm::LayerGenerator< GUM_SCALAR >::MyData, gum::prm::ParamScopeData< GUM_SCALAR >, gum::prm::StructuredInference< GUM_SCALAR >::CData
• cache_ : gum::learning::CachedContingencyCounter, gum::learning::Score
• callstack_ : gum::Exception
• chain : gum::prm::o3prmr::ObserveCommand< GUM_SCALAR >, gum::prm::o3prmr::QueryCommand< GUM_SCALAR >, gum::prm::o3prmr::UnobserveCommand< GUM_SCALAR >
• character : gum::FormulaPart
• children : gum::IndexedTree< Key, Data >, gum::prm::gspan::DFSTree< GUM_SCALAR >::PatternData
• children_ : gum::BinTreeNode< Val >
• cliques_DFS_chain : gum::CliqueGraph::_RunningIntersect_
• cmp_ : gum::AVLTree< Val, Cmp >, gum::BinSearchTree< Val, Cmp, Node >
• cnet_ : gum::credal::VarMod2BNsMap< GUM_SCALAR >
• code : gum::ParseError
• codes : gum::prm::gspan::DFSCode
• col : gum::learning::KTBNDatabaseGenerator< GUM_SCALAR >::NodeRef, gum::learning::KTBNDatabaseGenerator< GUM_SCALAR >::ParentRef
• column : gum::ParseError
• column_types_ : gum::learning::DBRowGenerator
• columns_of_interest_ : gum::learning::DBRowGenerator
• combinationFunction : gum::MultiDimCombination< TABLE >, gum::MultiDimCombinationDefault< TABLE >, gum::MultiDimCombineAndProject< TABLE >, gum::MultiDimCombineAndProjectDefault< TABLE >
• command : gum::prm::o3prmr::QueryResult
• cond : gum::learning::CIBasedLearning::SepSetEntry_
• constraint_ : gum::learning::GraphChangesGenerator4DiGraph< STRUCT_CONSTRAINT >, gum::learning::GraphChangesGenerator4K2< STRUCT_CONSTRAINT >, gum::learning::GraphChangesGenerator4UndiGraph< STRUCT_CONSTRAINT >, gum::learning::GraphChangesGeneratorOnSubDiGraph< STRUCT_CONSTRAINT >
• constraintForbiddenArcs_ : gum::learning::IBNLearner
• constraintIndegree_ : gum::learning::IBNLearner
• constraintMandatoryArcs_ : gum::learning::IBNLearner
• constraintNoChildrenNodes_ : gum::learning::IBNLearner
• constraintNoParentNodes_ : gum::learning::IBNLearner
• constraintPossibleEdges_ : gum::learning::IBNLearner
• constraintSliceOrder_ : gum::learning::IBNLearner
• constraintTabuList_ : gum::learning::IBNLearner
• constraintTotalOrder_ : gum::learning::IBNLearner
• cont_val : gum::learning::DBTranslatedValue
• content_ : gum::MultiDimDecorator< GUM_ELEMENT >
• CONTINUE_PREFIX : gum::ASTtree< GUM_SCALAR >
• cost : gum::prm::gspan::DFSTree< GUM_SCALAR >::PatternData
• counter_ : gum::learning::CachedContingencyCounter, gum::learning::ParamEstimator, gum::learning::PseudoCount, gum::learning::Score
• counting_ : gum::GibbsOperator< GUM_SCALAR >
• cpt : gum::learning::KTBNDatabaseGenerator< GUM_SCALAR >::NodeRef
• credalNet_ : gum::credal::InferenceEngine< GUM_SCALAR >
• current_epsilon_ : gum::ApproximationScheme
• current_rate_ : gum::ApproximationScheme
• current_state_ : gum::ApproximationScheme
• current_step_ : gum::ApproximationScheme
• currentAlgorithm_ : gum::learning::IBNLearner
• currentHash_ : gum::credal::VarMod2BNsMap< GUM_SCALAR >
• currentSample_ : gum::credal::VarMod2BNsMap< GUM_SCALAR >
• currentState_ : gum::AbstractSimulator