| __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 |
| _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 |
| _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 |
| _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 |
| _dbnOpt | gum::credal::InferenceEngine< GUM_SCALAR > | protected |
| _dynamicExpectations() | gum::credal::InferenceEngine< GUM_SCALAR > | protected |
| _dynamicExpMax | gum::credal::InferenceEngine< GUM_SCALAR > | protected |
| _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 |
| _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 |
| _evidence | gum::credal::InferenceEngine< GUM_SCALAR > | protected |
| _expectationMax | gum::credal::InferenceEngine< GUM_SCALAR > | protected |
| _expectationMin | gum::credal::InferenceEngine< GUM_SCALAR > | protected |
| _history | gum::ApproximationScheme | protected |
| _InferenceUpToDate | gum::credal::CNLoopyPropagation< GUM_SCALAR > | protected |
| _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 |
| _last_epsilon | gum::ApproximationScheme | protected |
| _makeInferenceByOrderedArcs() | gum::credal::CNLoopyPropagation< GUM_SCALAR > | protected |
| _makeInferenceByRandomOrder() | gum::credal::CNLoopyPropagation< GUM_SCALAR > | protected |
| _makeInferenceNodeToNeighbours() | gum::credal::CNLoopyPropagation< GUM_SCALAR > | protected |
| _marginalMax | gum::credal::InferenceEngine< GUM_SCALAR > | protected |
| _marginalMin | gum::credal::InferenceEngine< GUM_SCALAR > | protected |
| _marginalSets | gum::credal::InferenceEngine< GUM_SCALAR > | protected |
| _max_iter | gum::ApproximationScheme | protected |
| _max_time | gum::ApproximationScheme | protected |
| _min_rate_eps | gum::ApproximationScheme | protected |
| _modal | gum::credal::InferenceEngine< GUM_SCALAR > | protected |
| _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 |
| _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 |
| _period_size | gum::ApproximationScheme | protected |
| _query | gum::credal::InferenceEngine< GUM_SCALAR > | protected |
| _refreshLMsPIs(bool refreshIndic=false) | gum::credal::CNLoopyPropagation< GUM_SCALAR > | protected |
| _repetitiveInd | gum::credal::InferenceEngine< GUM_SCALAR > | protected |
| _repetitiveInit() | gum::credal::InferenceEngine< GUM_SCALAR > | protected |
| _storeBNOpt | gum::credal::InferenceEngine< GUM_SCALAR > | protected |
| _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 |
| _update_l | gum::credal::CNLoopyPropagation< GUM_SCALAR > | protected |
| _update_p | gum::credal::CNLoopyPropagation< GUM_SCALAR > | protected |
| _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 | gum::ApproximationScheme | protected |
| active_nodes_set | gum::credal::CNLoopyPropagation< GUM_SCALAR > | protected |
| ApproximationScheme(bool verbosity=false) | gum::ApproximationScheme | |
| ApproximationSchemeSTATE enum name | gum::IApproximationSchemeConfiguration | |
| cArcP typedef | gum::credal::CNLoopyPropagation< GUM_SCALAR > | |
| CNLoopyPropagation(const CredalNet< GUM_SCALAR > &cnet) | gum::credal::CNLoopyPropagation< GUM_SCALAR > | explicit |
| continueApproximationScheme(double error) | gum::ApproximationScheme | |
| credalNet() | gum::credal::InferenceEngine< GUM_SCALAR > | |
| currentTime() const | gum::ApproximationScheme | virtual |
| disableEpsilon() | gum::ApproximationScheme | virtual |
| disableMaxIter() | gum::ApproximationScheme | virtual |
| disableMaxTime() | gum::ApproximationScheme | virtual |
| disableMinEpsilonRate() | gum::ApproximationScheme | virtual |
| dynamicExpectations() | gum::credal::InferenceEngine< GUM_SCALAR > | |
| dynamicExpMax(const std::string &varName) const | gum::credal::InferenceEngine< GUM_SCALAR > | |
| dynamicExpMin(const std::string &varName) const | gum::credal::InferenceEngine< GUM_SCALAR > | |
| enableEpsilon() | gum::ApproximationScheme | virtual |
| enableMaxIter() | gum::ApproximationScheme | virtual |
| enableMaxTime() | gum::ApproximationScheme | virtual |
| enableMinEpsilonRate() | gum::ApproximationScheme | virtual |
| epsilon() const | gum::ApproximationScheme | virtual |
| eraseAllEvidence() | gum::credal::CNLoopyPropagation< GUM_SCALAR > | virtual |
| expectationMax(const NodeId id) const | gum::credal::InferenceEngine< GUM_SCALAR > | |
| expectationMax(const std::string &varName) const | gum::credal::InferenceEngine< GUM_SCALAR > | |
| expectationMin(const NodeId id) const | gum::credal::InferenceEngine< GUM_SCALAR > | |
| expectationMin(const std::string &varName) const | gum::credal::InferenceEngine< GUM_SCALAR > | |
| 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 |
| 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 > | |
| initApproximationScheme() | gum::ApproximationScheme | |
| 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 |
| makeInference() | gum::credal::CNLoopyPropagation< GUM_SCALAR > | virtual |
| marginalMax(const NodeId id) const | gum::credal::InferenceEngine< GUM_SCALAR > | |
| marginalMax(const std::string &varName) const | gum::credal::InferenceEngine< GUM_SCALAR > | |
| marginalMin(const NodeId id) const | gum::credal::InferenceEngine< GUM_SCALAR > | |
| marginalMin(const std::string &varName) const | gum::credal::InferenceEngine< GUM_SCALAR > | |
| maxIter() const | gum::ApproximationScheme | virtual |
| maxTime() const | gum::ApproximationScheme | virtual |
| messageApproximationScheme() const | gum::IApproximationSchemeConfiguration | |
| minEpsilonRate() const | gum::ApproximationScheme | virtual |
| msg typedef | gum::credal::CNLoopyPropagation< GUM_SCALAR > | |
| nbrIterations() const | gum::ApproximationScheme | virtual |
| next_active_nodes_set | gum::credal::CNLoopyPropagation< GUM_SCALAR > | protected |
| onProgress | gum::IApproximationSchemeConfiguration | |
| onStop | gum::IApproximationSchemeConfiguration | |
| periodSize() const | gum::ApproximationScheme | virtual |
| remainingBurnIn() | gum::ApproximationScheme | |
| repetitiveInd() const | gum::credal::InferenceEngine< GUM_SCALAR > | |
| 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 > | |
| storeVertices(const bool value) | gum::credal::InferenceEngine< GUM_SCALAR > | |
| storeVertices() const | gum::credal::InferenceEngine< GUM_SCALAR > | |
| toString() const | gum::credal::InferenceEngine< GUM_SCALAR > | |
| updateApproximationScheme(unsigned int incr=1) | gum::ApproximationScheme | |
| verbosity() const | gum::ApproximationScheme | virtual |
| 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 |
