- 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< ALLOC > , gum::learning::PseudoCount< ALLOC > , gum::learning::Score< ALLOC >
• empty_nodevect_ : gum::learning::ParamEstimator< ALLOC >
• 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
• endState_ : gum::AbstractSimulator
• entity : TiXmlBase
• eps_ : gum::ApproximationScheme
• epsilon_ : gum::LinearApproximationPolicy< GUM_SCALAR >
• epsilonEM_ : gum::learning::genericBNLearner
• 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 >
• EvidenceMNInference< GUM_SCALAR > : gum::MarkovNetInference< GUM_SCALAR >
• expectationMax_ : gum::credal::InferenceEngine< GUM_SCALAR >
• expectationMin_ : gum::credal::InferenceEngine< GUM_SCALAR >
• external_apriori_ : gum::learning::ParamEstimator< ALLOC >