addArc(const NodeId &tail, const NodeId &head) | gum::credal::CredalNet< GUM_SCALAR > | |
addVariable(const std::string &name, const Size &card) | gum::credal::CredalNet< GUM_SCALAR > | |
approximatedBinarization() | gum::credal::CredalNet< GUM_SCALAR > | |
binCptMax__ | gum::credal::CredalNet< GUM_SCALAR > | private |
binCptMin__ | gum::credal::CredalNet< GUM_SCALAR > | private |
bnCopy__(BayesNet< GUM_SCALAR > &bn_dest) | gum::credal::CredalNet< GUM_SCALAR > | private |
bnToCredal(const GUM_SCALAR beta, const bool oneNet, const bool keepZeroes=false) | gum::credal::CredalNet< GUM_SCALAR > | |
computeBinaryCPTMinMax() | gum::credal::CredalNet< GUM_SCALAR > | |
CredalNet() | gum::credal::CredalNet< GUM_SCALAR > | |
CredalNet(const std::string &src_min_num, const std::string &src_max_den="") | gum::credal::CredalNet< GUM_SCALAR > | |
CredalNet(const BayesNet< GUM_SCALAR > &src_min_num, const BayesNet< GUM_SCALAR > &src_max_den=BayesNet< GUM_SCALAR >()) | gum::credal::CredalNet< GUM_SCALAR > | |
credalNet_current_cpt__ | gum::credal::CredalNet< GUM_SCALAR > | private |
credalNet_currentCpt() const | gum::credal::CredalNet< GUM_SCALAR > | |
credalNet_src_cpt__ | gum::credal::CredalNet< GUM_SCALAR > | private |
credalNet_srcCpt() const | gum::credal::CredalNet< GUM_SCALAR > | |
current_bn() const | gum::credal::CredalNet< GUM_SCALAR > | |
current_bn__ | gum::credal::CredalNet< GUM_SCALAR > | private |
current_nodeType__ | gum::credal::CredalNet< GUM_SCALAR > | private |
currentNodeType(const NodeId &id) const | gum::credal::CredalNet< GUM_SCALAR > | |
deltaC__ | gum::credal::CredalNet< GUM_SCALAR > | private |
denMax__ | gum::credal::CredalNet< GUM_SCALAR > | private |
domainSize(const NodeId &id) | gum::credal::CredalNet< GUM_SCALAR > | |
epsF__ | gum::credal::CredalNet< GUM_SCALAR > | private |
epsilonMax() const | gum::credal::CredalNet< GUM_SCALAR > | |
epsilonMax__ | gum::credal::CredalNet< GUM_SCALAR > | private |
epsilonMean() const | gum::credal::CredalNet< GUM_SCALAR > | |
epsilonMin() const | gum::credal::CredalNet< GUM_SCALAR > | |
epsilonMin__ | gum::credal::CredalNet< GUM_SCALAR > | private |
epsilonMoy__ | gum::credal::CredalNet< GUM_SCALAR > | private |
epsRedund__ | gum::credal::CredalNet< GUM_SCALAR > | private |
fillConstraint(const NodeId &id, const Idx &entry, const std::vector< GUM_SCALAR > &lower, const std::vector< GUM_SCALAR > &upper) | gum::credal::CredalNet< GUM_SCALAR > | |
fillConstraint(const NodeId &id, Instantiation ins, const std::vector< GUM_SCALAR > &lower, const std::vector< GUM_SCALAR > &upper) | gum::credal::CredalNet< GUM_SCALAR > | |
fillConstraints(const NodeId &id, const std::vector< GUM_SCALAR > &lower, const std::vector< GUM_SCALAR > &upper) | gum::credal::CredalNet< GUM_SCALAR > | |
find_dNode_card__(const std::vector< std::vector< std::vector< GUM_SCALAR > > > &var_cpt) const | gum::credal::CredalNet< GUM_SCALAR > | private |
get_binaryCPT_max() const | gum::credal::CredalNet< GUM_SCALAR > | |
get_binaryCPT_min() const | gum::credal::CredalNet< GUM_SCALAR > | |
H2Vlrs__(const std::vector< std::vector< GUM_SCALAR > > &h_rep, std::vector< std::vector< GUM_SCALAR > > &v_rep) const | gum::credal::CredalNet< GUM_SCALAR > | private |
hasComputedBinaryCPTMinMax() const | gum::credal::CredalNet< GUM_SCALAR > | |
hasComputedBinaryCPTMinMax__ | gum::credal::CredalNet< GUM_SCALAR > | private |
idmLearning(const Idx s=0, const bool keepZeroes=false) | gum::credal::CredalNet< GUM_SCALAR > | |
initCNNets__(const std::string &src_min_num, const std::string &src_max_den) | gum::credal::CredalNet< GUM_SCALAR > | private |
initCNNets__(const BayesNet< GUM_SCALAR > &src_min_num, const BayesNet< GUM_SCALAR > &src_max_den) | gum::credal::CredalNet< GUM_SCALAR > | private |
initParams__() | gum::credal::CredalNet< GUM_SCALAR > | private |
instantiation(const NodeId &id) | gum::credal::CredalNet< GUM_SCALAR > | |
intervalToCredal() | gum::credal::CredalNet< GUM_SCALAR > | |
intervalToCredal__() | gum::credal::CredalNet< GUM_SCALAR > | private |
intervalToCredalWithFiles() | gum::credal::CredalNet< GUM_SCALAR > | |
isSeparatelySpecified() const | gum::credal::CredalNet< GUM_SCALAR > | |
lagrangeNormalization() | gum::credal::CredalNet< GUM_SCALAR > | |
nodeType(const NodeId &id) const | gum::credal::CredalNet< GUM_SCALAR > | |
NodeType enum name | gum::credal::CredalNet< GUM_SCALAR > | |
original_nodeType__ | gum::credal::CredalNet< GUM_SCALAR > | private |
precision__ | gum::credal::CredalNet< GUM_SCALAR > | private |
precisionC__ | gum::credal::CredalNet< GUM_SCALAR > | private |
saveBNsMinMax(const std::string &min_path, const std::string &max_path) const | gum::credal::CredalNet< GUM_SCALAR > | |
separatelySpecified__ | gum::credal::CredalNet< GUM_SCALAR > | private |
setCPT(const NodeId &id, Size &entry, const std::vector< std::vector< GUM_SCALAR > > &cpt) | gum::credal::CredalNet< GUM_SCALAR > | |
setCPT(const NodeId &id, Instantiation ins, const std::vector< std::vector< GUM_SCALAR > > &cpt) | gum::credal::CredalNet< GUM_SCALAR > | |
setCPTs(const NodeId &id, const std::vector< std::vector< std::vector< GUM_SCALAR > > > &cpt) | gum::credal::CredalNet< GUM_SCALAR > | |
sort_varType__() | gum::credal::CredalNet< GUM_SCALAR > | private |
src_bn() const | gum::credal::CredalNet< GUM_SCALAR > | |
src_bn__ | gum::credal::CredalNet< GUM_SCALAR > | private |
src_bn_max__ | gum::credal::CredalNet< GUM_SCALAR > | private |
src_bn_min__ | gum::credal::CredalNet< GUM_SCALAR > | private |
toString() const | gum::credal::CredalNet< GUM_SCALAR > | |
var_bits__ | gum::credal::CredalNet< GUM_SCALAR > | private |
~CredalNet() | gum::credal::CredalNet< GUM_SCALAR > | |