, including all inherited members.
| adapt() | HAPI::Domain | |
| approximate(double epsilon) | HAPI::Domain | |
| cgEvidenceIsPropagated() const | HAPI::Domain | |
| clone() const | HAPI::Domain | |
| compile() | HAPI::Domain | |
| compress() | HAPI::Domain | |
| computeSensitivityData(const NodeList &nodes, const std::vector< size_t > &states) | HAPI::Domain | |
| deleteAttribute(const std::string &key) | HAPI::NetworkModel | |
| Domain() | HAPI::Domain | |
| Domain(const std::string &filename) | HAPI::Domain | [explicit] |
| Domain(const std::string &filename, const std::string &password) | HAPI::Domain | |
| Domain(const std::string &filename, ParseListener *pl) | HAPI::Domain | |
| Domain(const Domain *domain) | HAPI::Domain | |
| Domain(const Class *cls) | HAPI::Domain | |
| enterCase(size_t index) | HAPI::Domain | |
| equilibriumIs(Equilibrium eq) const | HAPI::Domain | |
| evidenceIsPropagated() const | HAPI::Domain | |
| evidenceModeIs(EvidenceMode ev) const | HAPI::Domain | |
| findMAPConfigurations(const NodeList &nodes, double minProbability) | HAPI::Domain | |
| generateTables() | HAPI::NetworkModel | |
| getAIC() const | HAPI::Domain | |
| getApproximationConstant() const | HAPI::Domain | |
| getAttribute(const std::string &key) const | HAPI::NetworkModel | |
| getAttributes() const | HAPI::NetworkModel | |
| getBIC() const | HAPI::Domain | |
| getCaseCount(size_t index) const | HAPI::Domain | |
| getConcurrencyLevel() const | HAPI::Domain | |
| getConflict() const | HAPI::Domain | |
| getDConnectedNodes(const NodeList &source, const NodeList &hard, const NodeList &soft) const | HAPI::Domain | |
| getDConnectedNodes(const NodeList &source, const NodeList &evidence) const | HAPI::Domain | |
| getDSeparatedNodes(const NodeList &source, const NodeList &hard, const NodeList &soft) const | HAPI::Domain | |
| getDSeparatedNodes(const NodeList &source, const NodeList &evidence) const | HAPI::Domain | |
| getEliminationOrder() const | HAPI::Domain | |
| getExpectedUtility() const | HAPI::Domain | |
| getFileName() const | HAPI::NetworkModel | |
| getGrainSize() const | HAPI::Domain | |
| getJunctionTrees() const | HAPI::Domain | |
| getLogLikelihood() const | HAPI::Domain | |
| getLogLikelihoodTolerance() const | HAPI::Domain | |
| getLogNormalizationConstant() const | HAPI::Domain | |
| getMAPConfiguration(size_t index) const | HAPI::Domain | |
| getMarginal(const NodeList &nodes) const | HAPI::Domain | |
| getMaxNumberOfEMIterations() const | HAPI::Domain | |
| getMaxNumberOfSeparators() const | HAPI::Domain | |
| getNodeByName(const std::string &name) const | HAPI::NetworkModel | |
| getNodes() const | HAPI::NetworkModel | |
| getNodeSize() const | HAPI::NetworkModel | |
| getNormalDeviate(double mean, double variance) | HAPI::Domain | |
| getNormalizationConstant() const | HAPI::Domain | |
| getNumberOfCases() const | HAPI::Domain | |
| getNumberOfMAPConfigurations() const | HAPI::Domain | |
| getProbabilityOfMAPConfiguration(size_t index) const | HAPI::Domain | |
| getSensitivitySet() const | HAPI::Domain | |
| getSensitivitySet(size_t output) const | HAPI::Domain | |
| getSignificanceLevel() const | HAPI::Domain | |
| getUniformDeviate() | HAPI::Domain | |
| getUserData() const | HAPI::NetworkModel | [inline] |
| hasAttribute(const std::string &key) const | HAPI::NetworkModel | |
| hasEvidenceToPropagate() const | HAPI::Domain | |
| hasTablesToPropagate() const | HAPI::Domain | |
| INFINITY() const | HAPI::NetworkModel | |
| initialize() | HAPI::Domain | |
| isCompiled() const | HAPI::Domain | |
| isCompressed() const | HAPI::Domain | |
| isTriangulated() const | HAPI::Domain | |
| learnClassTables() | HAPI::Domain | |
| learnStructure() | HAPI::Domain | |
| learnTables() | HAPI::Domain | |
| likelihoodIsPropagated() const | HAPI::Domain | |
| newCase() | HAPI::Domain | |
| parseCase(const std::string &filename, ParseListener *pl) | HAPI::Domain | |
| parseCases(const std::string &filename, ParseListener *pl) | HAPI::Domain | |
| parseNodes(const std::string &filename, ParseListener *errorHandler) | HAPI::NetworkModel | |
| propagate(Equilibrium eq=H_EQUILIBRIUM_SUM, EvidenceMode ev=H_MODE_NORMAL) | HAPI::Domain | |
| resetInferenceEngine() | HAPI::Domain | |
| retractFindings() | HAPI::Domain | |
| saveAsKB(const std::string &filename) | HAPI::Domain | |
| saveAsKB(const std::string &filename, const std::string &password) | HAPI::Domain | |
| saveAsNet(const std::string &filename) | HAPI::NetworkModel | |
| saveCase(const std::string &filename) | HAPI::Domain | |
| saveCases(const std::string &filename, const NodeList &nodes, bool caseCounts, const std::string &separator, const std::string &missingData) | HAPI::Domain | |
| saveCases(const std::string &filename, const NodeList &nodes, const std::vector< size_t > &cases, bool caseCounts, const std::string &separator, const std::string &missingData) | HAPI::Domain | |
| saveToMemory() | HAPI::Domain | |
| seedRandom(unsigned int seed) | HAPI::Domain | |
| setAttribute(const std::string &key, const std::string &value) | HAPI::NetworkModel | |
| setCaseCount(size_t index, Number count) | HAPI::Domain | |
| setConcurrencyLevel(size_t level) | HAPI::Domain | |
| setGrainSize(size_t size) | HAPI::Domain | |
| setLogFile(FILE *log) | HAPI::NetworkModel | |
| setLogLikelihoodTolerance(double tolerance) | HAPI::Domain | |
| setMaxNumberOfEMIterations(size_t iterations) | HAPI::Domain | |
| setMaxNumberOfSeparators(size_t separators) | HAPI::Domain | |
| setNodeSize(size_t width, size_t height) | HAPI::NetworkModel | |
| setNumberOfCases(size_t number) | HAPI::Domain | |
| setSignificanceLevel(double significancelevel) | HAPI::Domain | |
| setUserData(void *data) | HAPI::NetworkModel | [inline] |
| simulate() | HAPI::Domain | |
| triangulate(TriangulationMethod tm=H_TM_BEST_GREEDY) | HAPI::Domain | |
| triangulate(const NodeList &order) | HAPI::Domain | |
| uncompile() | HAPI::Domain | |
| updatePolicies() | HAPI::Domain | |
| ~Domain() | HAPI::Domain | |