- m -

• m_bn : gum::prm::o3prmr::O3prmrInterpreter
• m_bn_engine : gum::prm::o3prmr::O3prmrInterpreter
• m_commands : gum::prm::o3prmr::O3prmrSession< GUM_SCALAR >
• m_context : gum::prm::o3prmr::O3prmrInterpreter
• m_count : TiCppRCImp
• m_current_line : gum::prm::o3prmr::O3prmrInterpreter
• m_details : ticpp::Exception
• m_dirName : gum::Directory
• m_dirPtr : gum::Directory
• m_engine : gum::prm::o3prmr::O3prmrInterpreter
• m_errors : gum::prm::o3prmr::O3prmrInterpreter
• m_filename : gum::prm::o3prmr::O3prmrContext< GUM_SCALAR >
• m_imports : gum::prm::o3prmr::O3prmrContext< GUM_SCALAR >
• m_impRC : ticpp::Base
• m_inf : gum::prm::o3prmr::O3prmrInterpreter
• m_inf_map : gum::prm::o3prmr::O3prmrInterpreter
• m_infEngineMap : gum::prm::o3prmr::O3prmrSession< GUM_SCALAR >
• m_log : gum::prm::o3prmr::O3prmrInterpreter
• m_mainImport : gum::prm::o3prmr::O3prmrContext< GUM_SCALAR >
• m_name : gum::prm::o3prmr::O3prmrSession< GUM_SCALAR >
• m_p : ticpp::Iterator< T >
• m_package : gum::prm::o3prmr::O3prmrContext< GUM_SCALAR >
• m_paths : gum::prm::o3prmr::O3prmrInterpreter
• m_reader : gum::prm::o3prmr::O3prmrInterpreter
• m_results : gum::prm::o3prmr::O3prmrInterpreter
• m_sessions : gum::prm::o3prmr::O3prmrContext< GUM_SCALAR >
• m_spawnedWrappers : TiCppRC
• m_syntax_flag : gum::prm::o3prmr::O3prmrInterpreter
• m_tiCppRC : TiCppRCImp
• m_tiRC : TiCppRC
• m_tiXmlPointer : ticpp::Attribute , ticpp::NodeImp< T >
• m_value : ticpp::Iterator< T >
• m_verbose : gum::prm::o3prmr::O3prmrInterpreter
• map : gum::prm::StructuredInference< GUM_SCALAR >::PData
• marginalMax_ : gum::credal::InferenceEngine< GUM_SCALAR >
• marginalMin_ : gum::credal::InferenceEngine< GUM_SCALAR >
• marginalSets_ : gum::credal::InferenceEngine< GUM_SCALAR >
• MarginalTargetedInference< GUM_SCALAR > : gum::BayesNetInference< GUM_SCALAR >
• MarginalTargetedMNInference< GUM_SCALAR > : gum::MarkovNetInference< GUM_SCALAR >
• mask : gum::HashFuncConst
• matches : gum::prm::gspan::EdgeGrowth< GUM_SCALAR > , gum::prm::StructuredInference< GUM_SCALAR >::PData
• max_dico_entries_ : gum::learning::DBTranslator< ALLOC >
• max_indep_set : gum::prm::gspan::DFSTree< GUM_SCALAR >::PatternData , gum::prm::gspan::EdgeGrowth< GUM_SCALAR >
• max_iter_ : gum::ApproximationScheme
• max_nb_threads_ : gum::learning::IDatabaseTable< T_DATA, ALLOC >
• max_time_ : gum::ApproximationScheme
• maxArcs_ : gum::IBayesNetGenerator< GUM_SCALAR, ICPTGenerator >
• maxlog10InducedWidth_ : gum::MaxInducedWidthMCBayesNetGenerator< GUM_SCALAR, ICPTGenerator, ICPTDisturber >
• maxModality_ : gum::IBayesNetGenerator< GUM_SCALAR, ICPTGenerator >
• maxParents_ : gum::MaxParentsMCBayesNetGenerator< GUM_SCALAR, ICPTGenerator, ICPTDisturber >
• min_nb_rows_per_thread_ : gum::learning::IDatabaseTable< T_DATA, ALLOC >
• min_rate_eps_ : gum::ApproximationScheme
• mining_time : gum::prm::StructuredInference< GUM_SCALAR >
• missing_symbols_ : gum::learning::DBTranslator< ALLOC > , gum::learning::IDatabaseTable< T_DATA, ALLOC >
• mod : gum::prm::gspan::StrictSearch< GUM_SCALAR >::PData , gum::prm::StructuredInference< GUM_SCALAR >::PData
• modal_ : gum::credal::InferenceEngine< GUM_SCALAR >
• modality : gum::Parent
• model_ : gum::IncrementalGraphLearner< AttributeSelection, isScalar >
• mods : gum::prm::StructuredInference< GUM_SCALAR >::CData , gum::prm::StructuredInference< GUM_SCALAR >::RGData
• moral_graph : gum::prm::StructuredInference< GUM_SCALAR >::CData
• msg : gum::ParseError
• msg_ : gum::Exception
• msg_l_sent_ : gum::credal::CNLoopyPropagation< GUM_SCALAR >
• mutualInfo_ : gum::learning::genericBNLearner
• myHashNet_ : gum::credal::VarMod2BNsMap< GUM_SCALAR >
• myHashVars_ : gum::credal::VarMod2BNsMap< GUM_SCALAR >
• myVarHashs_ : gum::credal::VarMod2BNsMap< GUM_SCALAR >