aGrUM
2.3.2
a C++ library for (probabilistic) graphical models
Here is a list of all variables with links to the classes they belong to:
- e -
edge :
gum::prm::gspan::EdgeGrowth< GUM_SCALAR >
elimination_sequence_strategy_ :
gum::StaticTriangulation
elt :
gum::SplayBinaryNode< Element >
elVarSeq_ :
gum::StructuredPlaner< GUM_SCALAR >
empty_ids_ :
gum::learning::IndependenceTest
,
gum::learning::PseudoCount
,
gum::learning::Score
empty_nodevect_ :
gum::learning::ParamEstimator
empty_value_ :
gum::MultiDimDecorator< GUM_SCALAR >
enabled_eps_ :
gum::ApproximationScheme
enabled_max_iter_ :
gum::ApproximationScheme
enabled_max_time_ :
gum::ApproximationScheme
enabled_min_rate_eps_ :
gum::ApproximationScheme
encoding :
TiXmlDeclaration
end_memory_usage :
gum::SchedulerSequential::UnexecutedOperation
endState_ :
gum::AbstractSimulator
engine_ :
gum::InformationTheory< INFERENCE_ENGINE, GUM_SCALAR >
entity :
TiXmlBase
eps_ :
gum::ApproximationScheme
epsilon_ :
gum::LinearApproximationPolicy< GUM_SCALAR >
error :
TiXmlDocument
error_count :
gum::ErrorsContainer
errorDesc :
TiXmlDocument
errorId :
TiXmlDocument
errorLocation :
TiXmlDocument
errorPQ_ :
gum::BNdistance< GUM_SCALAR >
errorQP_ :
gum::BNdistance< GUM_SCALAR >
errors :
gum::ErrorsContainer
errorString :
TiXmlBase
estimator_ :
gum::Estimator< GUM_SCALAR >
evidence_ :
gum::credal::InferenceEngine< GUM_SCALAR >
EvidenceInference< GUM_SCALAR > :
gum::BayesNetInference< GUM_SCALAR >
EvidenceMRFInference< GUM_SCALAR > :
gum::MRFInference< GUM_SCALAR >
expectationMax_ :
gum::credal::InferenceEngine< GUM_SCALAR >
expectationMin_ :
gum::credal::InferenceEngine< GUM_SCALAR >
external_prior_ :
gum::learning::ParamEstimator