| _binaryRep_(std::vector< bool > &toFill, const Idx value) const | gum::credal::CNMonteCarloSampling< GUM_SCALAR, BNInferenceEngine > | inlineprivate |
| _infEs_ typedef | gum::credal::CNMonteCarloSampling< GUM_SCALAR, BNInferenceEngine > | private |
| _insertEvidence_() | gum::credal::CNMonteCarloSampling< GUM_SCALAR, BNInferenceEngine > | inlineprivate |
| _mcInitApproximationScheme_() | gum::credal::CNMonteCarloSampling< GUM_SCALAR, BNInferenceEngine > | private |
| _mcThreadDataCopy_() | gum::credal::CNMonteCarloSampling< GUM_SCALAR, BNInferenceEngine > | private |
| _threadInference_() | gum::credal::CNMonteCarloSampling< GUM_SCALAR, BNInferenceEngine > | inlineprivate |
| _threadUpdate_() | gum::credal::CNMonteCarloSampling< GUM_SCALAR, BNInferenceEngine > | inlineprivate |
| _verticesSampling_() | gum::credal::CNMonteCarloSampling< GUM_SCALAR, BNInferenceEngine > | inlineprivate |
| ApproximationScheme(bool verbosity=false) | gum::ApproximationScheme | |
| ApproximationSchemeSTATE enum name | gum::IApproximationSchemeConfiguration | |
| burn_in_ | gum::ApproximationScheme | protected |
| CNMonteCarloSampling(const CredalNet< GUM_SCALAR > &credalNet) | gum::credal::CNMonteCarloSampling< GUM_SCALAR, BNInferenceEngine > | explicit |
| computeEpsilon_() | gum::credal::MultipleInferenceEngine< GUM_SCALAR, BNInferenceEngine > | inlineprotected |
| 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 |
| eps_ | gum::ApproximationScheme | protected |
| epsilon() const | gum::ApproximationScheme | virtual |
| eraseAllEvidence() | gum::credal::MultipleInferenceEngine< GUM_SCALAR, BNInferenceEngine > | 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 |
| expFusion_() | gum::credal::MultipleInferenceEngine< GUM_SCALAR, BNInferenceEngine > | 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 |
| initApproximationScheme() | gum::ApproximationScheme | |
| initExpectations_() | gum::credal::InferenceEngine< GUM_SCALAR > | protected |
| initMarginals_() | gum::credal::InferenceEngine< GUM_SCALAR > | protected |
| initMarginalSets_() | gum::credal::InferenceEngine< GUM_SCALAR > | protected |
| initThreadsData_(const Size &num_threads, const bool _storeVertices_, const bool _storeBNOpt_) | gum::credal::MultipleInferenceEngine< GUM_SCALAR, BNInferenceEngine > | inlineprotected |
| 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::CNMonteCarloSampling< GUM_SCALAR, BNInferenceEngine > | 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 |
| l_clusters_ | gum::credal::MultipleInferenceEngine< GUM_SCALAR, BNInferenceEngine > | protected |
| l_evidence_ | gum::credal::MultipleInferenceEngine< GUM_SCALAR, BNInferenceEngine > | protected |
| l_expectationMax_ | gum::credal::MultipleInferenceEngine< GUM_SCALAR, BNInferenceEngine > | protected |
| l_expectationMin_ | gum::credal::MultipleInferenceEngine< GUM_SCALAR, BNInferenceEngine > | protected |
| l_inferenceEngine_ | gum::credal::MultipleInferenceEngine< GUM_SCALAR, BNInferenceEngine > | protected |
| l_marginalMax_ | gum::credal::MultipleInferenceEngine< GUM_SCALAR, BNInferenceEngine > | protected |
| l_marginalMin_ | gum::credal::MultipleInferenceEngine< GUM_SCALAR, BNInferenceEngine > | protected |
| l_marginalSets_ | gum::credal::MultipleInferenceEngine< GUM_SCALAR, BNInferenceEngine > | protected |
| l_modal_ | gum::credal::MultipleInferenceEngine< GUM_SCALAR, BNInferenceEngine > | protected |
| l_optimalNet_ | gum::credal::MultipleInferenceEngine< GUM_SCALAR, BNInferenceEngine > | protected |
| last_epsilon_ | gum::ApproximationScheme | protected |
| makeInference() | gum::credal::CNMonteCarloSampling< GUM_SCALAR, BNInferenceEngine > | virtual |
| 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 |
| MultipleInferenceEngine(const CredalNet< GUM_SCALAR > &credalNet) | gum::credal::MultipleInferenceEngine< GUM_SCALAR, BNInferenceEngine > | explicit |
| nbrIterations() const | gum::ApproximationScheme | virtual |
| oldMarginalMax_ | gum::credal::InferenceEngine< GUM_SCALAR > | protected |
| oldMarginalMin_ | gum::credal::InferenceEngine< GUM_SCALAR > | protected |
| onProgress | gum::IApproximationSchemeConfiguration | |
| onStop | gum::IApproximationSchemeConfiguration | |
| optFusion_() | gum::credal::MultipleInferenceEngine< GUM_SCALAR, BNInferenceEngine > | protected |
| period_size_ | gum::ApproximationScheme | protected |
| periodSize() const | gum::ApproximationScheme | virtual |
| query_ | gum::credal::InferenceEngine< GUM_SCALAR > | protected |
| remainingBurnIn() | gum::ApproximationScheme | |
| repetitiveInd() const | gum::credal::InferenceEngine< GUM_SCALAR > | |
| repetitiveInd_ | gum::credal::CNMonteCarloSampling< GUM_SCALAR, BNInferenceEngine > | protected |
| repetitiveInit_() | gum::credal::InferenceEngine< GUM_SCALAR > | protected |
| saveExpectations(const std::string &path) const | gum::credal::InferenceEngine< 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 > | |
| 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 |
| updateMarginals_() | gum::credal::MultipleInferenceEngine< GUM_SCALAR, BNInferenceEngine > | inlineprotected |
| updateOldMarginals_() | gum::credal::MultipleInferenceEngine< GUM_SCALAR, BNInferenceEngine > | protected |
| updateThread_(const NodeId &id, const std::vector< GUM_SCALAR > &vertex, const bool &elimRedund=false) | gum::credal::MultipleInferenceEngine< GUM_SCALAR, BNInferenceEngine > | inlineprotected |
| verbosity() const | gum::ApproximationScheme | virtual |
| verbosity_ | gum::ApproximationScheme | protected |
| vertices(const NodeId id) const | gum::credal::InferenceEngine< GUM_SCALAR > | |
| verticesFusion_() | gum::credal::MultipleInferenceEngine< GUM_SCALAR, BNInferenceEngine > | protected |
| workingSet_ | gum::credal::MultipleInferenceEngine< GUM_SCALAR, BNInferenceEngine > | protected |
| workingSetE_ | gum::credal::MultipleInferenceEngine< GUM_SCALAR, BNInferenceEngine > | protected |
| ~ApproximationScheme() | gum::ApproximationScheme | virtual |
| ~CNMonteCarloSampling() | gum::credal::CNMonteCarloSampling< GUM_SCALAR, BNInferenceEngine > | virtual |
| ~IApproximationSchemeConfiguration() | gum::IApproximationSchemeConfiguration | |
| ~InferenceEngine() | gum::credal::InferenceEngine< GUM_SCALAR > | virtual |
| ~MultipleInferenceEngine() | gum::credal::MultipleInferenceEngine< GUM_SCALAR, BNInferenceEngine > | virtual |
