, 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 | |