| _bnet_ | gum::credal::CNLoopyPropagation< GUM_SCALAR > | private |
| _cn_ | gum::credal::CNLoopyPropagation< GUM_SCALAR > | private |
| _infE_ typedef | gum::credal::CNLoopyPropagation< GUM_SCALAR > | private |
| _inferenceType_ | gum::credal::CNLoopyPropagation< GUM_SCALAR > | private |
| active_nodes_set | gum::credal::CNLoopyPropagation< GUM_SCALAR > | protected |
| ApproximationScheme(bool verbosity=false) | gum::ApproximationScheme | |
| ApproximationSchemeSTATE enum name | gum::IApproximationSchemeConfiguration | |
| ArcsL_max_ | gum::credal::CNLoopyPropagation< GUM_SCALAR > | protected |
| ArcsL_min_ | gum::credal::CNLoopyPropagation< GUM_SCALAR > | protected |
| ArcsP_max_ | gum::credal::CNLoopyPropagation< GUM_SCALAR > | protected |
| ArcsP_min_ | gum::credal::CNLoopyPropagation< GUM_SCALAR > | protected |
| burn_in_ | gum::ApproximationScheme | protected |
| calculateEpsilon_() | gum::credal::CNLoopyPropagation< GUM_SCALAR > | protected |
| cArcP typedef | gum::credal::CNLoopyPropagation< GUM_SCALAR > | |
| CNLoopyPropagation(const CredalNet< GUM_SCALAR > &cnet) | gum::credal::CNLoopyPropagation< GUM_SCALAR > | explicit |
| compute_ext_(GUM_SCALAR &msg_l_min, GUM_SCALAR &msg_l_max, std::vector< GUM_SCALAR > &lx, GUM_SCALAR &num_min, GUM_SCALAR &num_max, GUM_SCALAR &den_min, GUM_SCALAR &den_max) | gum::credal::CNLoopyPropagation< GUM_SCALAR > | protected |
| compute_ext_(std::vector< std::vector< GUM_SCALAR > > &combi_msg_p, const NodeId &id, GUM_SCALAR &msg_l_min, GUM_SCALAR &msg_l_max, std::vector< GUM_SCALAR > &lx, const Idx &pos) | gum::credal::CNLoopyPropagation< GUM_SCALAR > | protected |
| compute_ext_(std::vector< std::vector< GUM_SCALAR > > &combi_msg_p, const NodeId &id, GUM_SCALAR &msg_p_min, GUM_SCALAR &msg_p_max) | gum::credal::CNLoopyPropagation< GUM_SCALAR > | protected |
| computeEpsilon_() | gum::credal::InferenceEngine< GUM_SCALAR > | inlineprotected |
| computeExpectations_() | gum::credal::CNLoopyPropagation< GUM_SCALAR > | protected |
| continueApproximationScheme(double error) | gum::ApproximationScheme | |
| credalNet() const | gum::credal::InferenceEngine< GUM_SCALAR > | |
| credalNet_ | gum::credal::InferenceEngine< GUM_SCALAR > | protected |
| current_epsilon_ | gum::ApproximationScheme | protected |
| current_rate_ | gum::ApproximationScheme | protected |
| current_state_ | gum::ApproximationScheme | protected |
| current_step_ | gum::ApproximationScheme | protected |
| currentTime() const | gum::ApproximationScheme | virtual |
| dbnOpt_ | gum::credal::InferenceEngine< GUM_SCALAR > | protected |
| disableEpsilon() | gum::ApproximationScheme | virtual |
| disableMaxIter() | gum::ApproximationScheme | virtual |
| disableMaxTime() | gum::ApproximationScheme | virtual |
| disableMinEpsilonRate() | gum::ApproximationScheme | virtual |
| dynamicExpectations() | gum::credal::InferenceEngine< GUM_SCALAR > | |
| dynamicExpectations_() | gum::credal::InferenceEngine< GUM_SCALAR > | protected |
| dynamicExpMax(const std::string &varName) const | gum::credal::InferenceEngine< GUM_SCALAR > | |
| dynamicExpMax_ | gum::credal::InferenceEngine< GUM_SCALAR > | protected |
| dynamicExpMin(const std::string &varName) const | gum::credal::InferenceEngine< GUM_SCALAR > | |
| dynamicExpMin_ | gum::credal::InferenceEngine< GUM_SCALAR > | protected |
| enabled_eps_ | gum::ApproximationScheme | protected |
| enabled_max_iter_ | gum::ApproximationScheme | protected |
| enabled_max_time_ | gum::ApproximationScheme | protected |
| enabled_min_rate_eps_ | gum::ApproximationScheme | protected |
| enableEpsilon() | gum::ApproximationScheme | virtual |
| enableMaxIter() | gum::ApproximationScheme | virtual |
| enableMaxTime() | gum::ApproximationScheme | virtual |
| enableMinEpsilonRate() | gum::ApproximationScheme | virtual |
| enum_combi_(std::vector< std::vector< std::vector< GUM_SCALAR > > > &msgs_p, const NodeId &id, GUM_SCALAR &msg_l_min, GUM_SCALAR &msg_l_max, std::vector< GUM_SCALAR > &lx, const Idx &pos) | gum::credal::CNLoopyPropagation< GUM_SCALAR > | protected |
| enum_combi_(std::vector< std::vector< std::vector< GUM_SCALAR > > > &msgs_p, const NodeId &id, GUM_SCALAR &msg_p_min, GUM_SCALAR &msg_p_max) | gum::credal::CNLoopyPropagation< GUM_SCALAR > | protected |
| eps_ | gum::ApproximationScheme | protected |
| epsilon() const | gum::ApproximationScheme | virtual |
| eraseAllEvidence() | gum::credal::CNLoopyPropagation< GUM_SCALAR > | virtual |
| evidence_ | gum::credal::InferenceEngine< GUM_SCALAR > | protected |
| expectationMax(const NodeId id) const | gum::credal::InferenceEngine< GUM_SCALAR > | |
| expectationMax(const std::string &varName) const | gum::credal::InferenceEngine< GUM_SCALAR > | |
| expectationMax_ | gum::credal::InferenceEngine< GUM_SCALAR > | protected |
| expectationMin(const NodeId id) const | gum::credal::InferenceEngine< GUM_SCALAR > | |
| expectationMin(const std::string &varName) const | gum::credal::InferenceEngine< GUM_SCALAR > | |
| expectationMin_ | gum::credal::InferenceEngine< GUM_SCALAR > | protected |
| getApproximationSchemeMsg() | gum::credal::InferenceEngine< GUM_SCALAR > | inline |
| getT0Cluster() const | gum::credal::InferenceEngine< GUM_SCALAR > | |
| getT1Cluster() const | gum::credal::InferenceEngine< GUM_SCALAR > | |
| getVarMod2BNsMap() | gum::credal::InferenceEngine< GUM_SCALAR > | |
| history() const | gum::ApproximationScheme | virtual |
| history_ | gum::ApproximationScheme | protected |
| IApproximationSchemeConfiguration() | gum::IApproximationSchemeConfiguration | |
| InferenceEngine(const CredalNet< GUM_SCALAR > &credalNet) | gum::credal::InferenceEngine< GUM_SCALAR > | explicit |
| inferenceType(InferenceType inft) | gum::credal::CNLoopyPropagation< GUM_SCALAR > | |
| inferenceType() | gum::credal::CNLoopyPropagation< GUM_SCALAR > | |
| InferenceType enum name | gum::credal::CNLoopyPropagation< GUM_SCALAR > | |
| InferenceUpToDate_ | gum::credal::CNLoopyPropagation< GUM_SCALAR > | protected |
| initApproximationScheme() | gum::ApproximationScheme | |
| initExpectations_() | gum::credal::InferenceEngine< GUM_SCALAR > | protected |
| initialize_() | gum::credal::CNLoopyPropagation< GUM_SCALAR > | protected |
| initMarginals_() | gum::credal::InferenceEngine< GUM_SCALAR > | protected |
| initMarginalSets_() | gum::credal::InferenceEngine< GUM_SCALAR > | protected |
| insertEvidence(const std::map< std::string, std::vector< GUM_SCALAR > > &eviMap) | gum::credal::InferenceEngine< GUM_SCALAR > | |
| insertEvidence(const NodeProperty< std::vector< GUM_SCALAR > > &evidence) | gum::credal::InferenceEngine< GUM_SCALAR > | |
| insertEvidenceFile(const std::string &path) | gum::credal::CNLoopyPropagation< GUM_SCALAR > | inlinevirtual |
| insertModals(const std::map< std::string, std::vector< GUM_SCALAR > > &modals) | gum::credal::InferenceEngine< GUM_SCALAR > | |
| insertModalsFile(const std::string &path) | gum::credal::InferenceEngine< GUM_SCALAR > | |
| insertQuery(const NodeProperty< std::vector< bool > > &query) | gum::credal::InferenceEngine< GUM_SCALAR > | |
| insertQueryFile(const std::string &path) | gum::credal::InferenceEngine< GUM_SCALAR > | |
| isEnabledEpsilon() const | gum::ApproximationScheme | virtual |
| isEnabledMaxIter() const | gum::ApproximationScheme | virtual |
| isEnabledMaxTime() const | gum::ApproximationScheme | virtual |
| isEnabledMinEpsilonRate() const | gum::ApproximationScheme | virtual |
| last_epsilon_ | gum::ApproximationScheme | protected |
| makeInference() | gum::credal::CNLoopyPropagation< GUM_SCALAR > | virtual |
| makeInferenceByOrderedArcs_() | gum::credal::CNLoopyPropagation< GUM_SCALAR > | protected |
| makeInferenceByRandomOrder_() | gum::credal::CNLoopyPropagation< GUM_SCALAR > | protected |
| makeInferenceNodeToNeighbours_() | gum::credal::CNLoopyPropagation< GUM_SCALAR > | protected |
| marginalMax(const NodeId id) const | gum::credal::InferenceEngine< GUM_SCALAR > | |
| marginalMax(const std::string &varName) const | gum::credal::InferenceEngine< GUM_SCALAR > | |
| marginalMax_ | gum::credal::InferenceEngine< GUM_SCALAR > | protected |
| marginalMin(const NodeId id) const | gum::credal::InferenceEngine< GUM_SCALAR > | |
| marginalMin(const std::string &varName) const | gum::credal::InferenceEngine< GUM_SCALAR > | |
| marginalMin_ | gum::credal::InferenceEngine< GUM_SCALAR > | protected |
| marginalSets_ | gum::credal::InferenceEngine< GUM_SCALAR > | protected |
| max_iter_ | gum::ApproximationScheme | protected |
| max_time_ | gum::ApproximationScheme | protected |
| maxIter() const | gum::ApproximationScheme | virtual |
| maxTime() const | gum::ApproximationScheme | virtual |
| messageApproximationScheme() const | gum::IApproximationSchemeConfiguration | |
| min_rate_eps_ | gum::ApproximationScheme | protected |
| minEpsilonRate() const | gum::ApproximationScheme | virtual |
| modal_ | gum::credal::InferenceEngine< GUM_SCALAR > | protected |
| msg typedef | gum::credal::CNLoopyPropagation< GUM_SCALAR > | |
| msg_l_sent_ | gum::credal::CNLoopyPropagation< GUM_SCALAR > | protected |
| msgL_(const NodeId X, const NodeId demanding_parent) | gum::credal::CNLoopyPropagation< GUM_SCALAR > | protected |
| msgP_(const NodeId X, const NodeId demanding_child) | gum::credal::CNLoopyPropagation< GUM_SCALAR > | protected |
| nbrIterations() const | gum::ApproximationScheme | virtual |
| next_active_nodes_set | gum::credal::CNLoopyPropagation< GUM_SCALAR > | protected |
| NodesL_max_ | gum::credal::CNLoopyPropagation< GUM_SCALAR > | protected |
| NodesL_min_ | gum::credal::CNLoopyPropagation< GUM_SCALAR > | protected |
| NodesP_max_ | gum::credal::CNLoopyPropagation< GUM_SCALAR > | protected |
| NodesP_min_ | gum::credal::CNLoopyPropagation< GUM_SCALAR > | protected |
| oldMarginalMax_ | gum::credal::InferenceEngine< GUM_SCALAR > | protected |
| oldMarginalMin_ | gum::credal::InferenceEngine< GUM_SCALAR > | protected |
| onProgress | gum::IApproximationSchemeConfiguration | |
| onStop | gum::IApproximationSchemeConfiguration | |
| period_size_ | gum::ApproximationScheme | protected |
| periodSize() const | gum::ApproximationScheme | virtual |
| query_ | gum::credal::InferenceEngine< GUM_SCALAR > | protected |
| refreshLMsPIs_(bool refreshIndic=false) | gum::credal::CNLoopyPropagation< GUM_SCALAR > | protected |
| remainingBurnIn() | gum::ApproximationScheme | |
| repetitiveInd() const | gum::credal::InferenceEngine< GUM_SCALAR > | |
| repetitiveInd_ | gum::credal::InferenceEngine< GUM_SCALAR > | protected |
| repetitiveInit_() | gum::credal::InferenceEngine< GUM_SCALAR > | protected |
| saveExpectations(const std::string &path) const | gum::credal::InferenceEngine< GUM_SCALAR > | |
| saveInference(const std::string &path) | gum::credal::CNLoopyPropagation< GUM_SCALAR > | |
| saveMarginals(const std::string &path) const | gum::credal::InferenceEngine< GUM_SCALAR > | |
| saveVertices(const std::string &path) const | gum::credal::InferenceEngine< GUM_SCALAR > | |
| setEpsilon(double eps) | gum::ApproximationScheme | virtual |
| setMaxIter(Size max) | gum::ApproximationScheme | virtual |
| setMaxTime(double timeout) | gum::ApproximationScheme | virtual |
| setMinEpsilonRate(double rate) | gum::ApproximationScheme | virtual |
| setPeriodSize(Size p) | gum::ApproximationScheme | virtual |
| setRepetitiveInd(const bool repetitive) | gum::credal::InferenceEngine< GUM_SCALAR > | |
| setVerbosity(bool v) | gum::ApproximationScheme | virtual |
| startOfPeriod() | gum::ApproximationScheme | |
| stateApproximationScheme() const | gum::ApproximationScheme | virtual |
| stopApproximationScheme() | gum::ApproximationScheme | |
| storeBNOpt(const bool value) | gum::credal::InferenceEngine< GUM_SCALAR > | |
| storeBNOpt() const | gum::credal::InferenceEngine< GUM_SCALAR > | |
| storeBNOpt_ | gum::credal::InferenceEngine< GUM_SCALAR > | protected |
| storeVertices(const bool value) | gum::credal::InferenceEngine< GUM_SCALAR > | |
| storeVertices() const | gum::credal::InferenceEngine< GUM_SCALAR > | |
| storeVertices_ | gum::credal::InferenceEngine< GUM_SCALAR > | protected |
| t0_ | gum::credal::InferenceEngine< GUM_SCALAR > | protected |
| t1_ | gum::credal::InferenceEngine< GUM_SCALAR > | protected |
| timer_ | gum::ApproximationScheme | protected |
| timeSteps_ | gum::credal::InferenceEngine< GUM_SCALAR > | protected |
| toString() const | gum::credal::InferenceEngine< GUM_SCALAR > | |
| update_l_ | gum::credal::CNLoopyPropagation< GUM_SCALAR > | protected |
| update_p_ | gum::credal::CNLoopyPropagation< GUM_SCALAR > | protected |
| updateApproximationScheme(unsigned int incr=1) | gum::ApproximationScheme | |
| updateCredalSets_(const NodeId &id, const std::vector< GUM_SCALAR > &vertex, const bool &elimRedund=false) | gum::credal::InferenceEngine< GUM_SCALAR > | inlineprotected |
| updateExpectations_(const NodeId &id, const std::vector< GUM_SCALAR > &vertex) | gum::credal::InferenceEngine< GUM_SCALAR > | inlineprotected |
| updateIndicatrices_() | gum::credal::CNLoopyPropagation< GUM_SCALAR > | protected |
| updateMarginals_() | gum::credal::CNLoopyPropagation< GUM_SCALAR > | protected |
| verbosity() const | gum::ApproximationScheme | virtual |
| verbosity_ | gum::ApproximationScheme | protected |
| vertices(const NodeId id) const | gum::credal::InferenceEngine< GUM_SCALAR > | |
| ~ApproximationScheme() | gum::ApproximationScheme | virtual |
| ~CNLoopyPropagation() | gum::credal::CNLoopyPropagation< GUM_SCALAR > | virtual |
| ~IApproximationSchemeConfiguration() | gum::IApproximationSchemeConfiguration | |
| ~InferenceEngine() | gum::credal::InferenceEngine< GUM_SCALAR > | virtual |
