aGrUM  0.20.2
a C++ library for (probabilistic) graphical models
gum::VariableElimination< GUM_SCALAR > Member List

This is the complete list of members for gum::VariableElimination< GUM_SCALAR >, including all inherited members.

addAllTargets() finalgum::MarginalTargetedInference< GUM_SCALAR >virtual
addEvidence(NodeId id, const Idx val) finalgum::GraphicalModelInference< GUM_SCALAR >virtual
addEvidence(const std::string &nodeName, const Idx val) finalgum::GraphicalModelInference< GUM_SCALAR >virtual
addEvidence(NodeId id, const std::string &label) finalgum::GraphicalModelInference< GUM_SCALAR >virtual
addEvidence(const std::string &nodeName, const std::string &label) finalgum::GraphicalModelInference< GUM_SCALAR >virtual
addEvidence(NodeId id, const std::vector< GUM_SCALAR > &vals) finalgum::GraphicalModelInference< GUM_SCALAR >virtual
addEvidence(const std::string &nodeName, const std::vector< GUM_SCALAR > &vals) finalgum::GraphicalModelInference< GUM_SCALAR >virtual
addEvidence(const Potential< GUM_SCALAR > &pot) finalgum::GraphicalModelInference< GUM_SCALAR >virtual
addEvidence(Potential< GUM_SCALAR > &&pot) finalgum::GraphicalModelInference< GUM_SCALAR >virtual
addJointTarget(const NodeSet &joint_target) finalgum::JointTargetedInference< GUM_SCALAR >virtual
addListOfEvidence(const List< const Potential< GUM_SCALAR > * > &potlist) finalgum::GraphicalModelInference< GUM_SCALAR >virtual
addSetOfEvidence(const Set< const Potential< GUM_SCALAR > * > &potset) finalgum::GraphicalModelInference< GUM_SCALAR >virtual
addTarget(NodeId target) finalgum::MarginalTargetedInference< GUM_SCALAR >virtual
addTarget(const std::string &nodeName) finalgum::MarginalTargetedInference< GUM_SCALAR >virtual
barren_nodes_type__gum::VariableElimination< GUM_SCALAR >private
BayesNetInference(const IBayesNet< GUM_SCALAR > *bn)gum::BayesNetInference< GUM_SCALAR >explicit
BayesNetInference()gum::BayesNetInference< GUM_SCALAR >
BN() const finalgum::BayesNetInference< GUM_SCALAR >virtual
chgEvidence(NodeId id, const Idx val) finalgum::GraphicalModelInference< GUM_SCALAR >virtual
chgEvidence(const std::string &nodeName, const Idx val) finalgum::GraphicalModelInference< GUM_SCALAR >virtual
chgEvidence(NodeId id, const std::string &label) finalgum::GraphicalModelInference< GUM_SCALAR >virtual
chgEvidence(const std::string &nodeName, const std::string &label) finalgum::GraphicalModelInference< GUM_SCALAR >virtual
chgEvidence(NodeId id, const std::vector< GUM_SCALAR > &vals) finalgum::GraphicalModelInference< GUM_SCALAR >virtual
chgEvidence(const std::string &nodeName, const std::vector< GUM_SCALAR > &vals) finalgum::GraphicalModelInference< GUM_SCALAR >virtual
chgEvidence(const Potential< GUM_SCALAR > &pot) finalgum::GraphicalModelInference< GUM_SCALAR >virtual
clear()gum::GraphicalModelInference< GUM_SCALAR >virtual
clique_potentials__gum::VariableElimination< GUM_SCALAR >private
collectMessage__(NodeId id, NodeId from)gum::VariableElimination< GUM_SCALAR >private
combination_op__gum::VariableElimination< GUM_SCALAR >inlineprivate
createNewJT__(const NodeSet &targets)gum::VariableElimination< GUM_SCALAR >private
domainSizes() const finalgum::GraphicalModelInference< GUM_SCALAR >virtual
eraseAllEvidence() finalgum::GraphicalModelInference< GUM_SCALAR >virtual
eraseAllJointTargets() finalgum::JointTargetedInference< GUM_SCALAR >virtual
eraseAllMarginalTargets() finalgum::JointTargetedInference< GUM_SCALAR >virtual
eraseAllTargets()gum::JointTargetedInference< GUM_SCALAR >virtual
eraseEvidence(NodeId id) finalgum::GraphicalModelInference< GUM_SCALAR >virtual
eraseEvidence(const std::string &nodeName) finalgum::GraphicalModelInference< GUM_SCALAR >virtual
eraseJointTarget(const NodeSet &joint_target) finalgum::JointTargetedInference< GUM_SCALAR >virtual
eraseTarget(NodeId target) finalgum::MarginalTargetedInference< GUM_SCALAR >virtual
eraseTarget(const std::string &nodeName) finalgum::MarginalTargetedInference< GUM_SCALAR >virtual
evidence() constgum::GraphicalModelInference< GUM_SCALAR >
evidenceImpact(NodeId target, const NodeSet &evs)gum::MarginalTargetedInference< GUM_SCALAR >
evidenceImpact(const std::string &target, const std::vector< std::string > &evs)gum::MarginalTargetedInference< GUM_SCALAR >
evidenceJointImpact(const NodeSet &targets, const NodeSet &evs)gum::JointTargetedInference< GUM_SCALAR >
evidenceJointImpact(const std::vector< std::string > &targets, const std::vector< std::string > &evs)gum::JointTargetedInference< GUM_SCALAR >
find_relevant_potential_type__gum::VariableElimination< GUM_SCALAR >private
findRelevantPotentials__gum::VariableElimination< GUM_SCALAR >private
findRelevantPotentialsGetAll__(PotentialSet__ &pot_list, Set< const DiscreteVariable * > &kept_vars)gum::VariableElimination< GUM_SCALAR >private
findRelevantPotentialsWithdSeparation2__(PotentialSet__ &pot_list, Set< const DiscreteVariable * > &kept_vars)gum::VariableElimination< GUM_SCALAR >private
findRelevantPotentialsWithdSeparation3__(PotentialSet__ &pot_list, Set< const DiscreteVariable * > &kept_vars)gum::VariableElimination< GUM_SCALAR >private
findRelevantPotentialsWithdSeparation__(PotentialSet__ &pot_list, Set< const DiscreteVariable * > &kept_vars)gum::VariableElimination< GUM_SCALAR >private
findRelevantPotentialsXX__(PotentialSet__ &pot_list, Set< const DiscreteVariable * > &kept_vars)gum::VariableElimination< GUM_SCALAR >private
graph__gum::VariableElimination< GUM_SCALAR >private
GraphicalModelInference(const GraphicalModel *model)gum::GraphicalModelInference< GUM_SCALAR >explicit
GraphicalModelInference()gum::GraphicalModelInference< GUM_SCALAR >
H(NodeId X) finalgum::MarginalTargetedInference< GUM_SCALAR >virtual
H(const std::string &nodeName) finalgum::MarginalTargetedInference< GUM_SCALAR >virtual
hardEvidence() constgum::GraphicalModelInference< GUM_SCALAR >
hardEvidenceNodes() constgum::GraphicalModelInference< GUM_SCALAR >
hasEvidence() const finalgum::GraphicalModelInference< GUM_SCALAR >virtual
hasEvidence(NodeId id) const finalgum::GraphicalModelInference< GUM_SCALAR >virtual
hasEvidence(const std::string &nodeName) const finalgum::GraphicalModelInference< GUM_SCALAR >virtual
hasHardEvidence(NodeId id) const finalgum::GraphicalModelInference< GUM_SCALAR >virtual
hasHardEvidence(const std::string &nodeName) const finalgum::GraphicalModelInference< GUM_SCALAR >virtual
hasNoModel_() constgum::GraphicalModelInference< GUM_SCALAR >inlineprotected
hasSoftEvidence(NodeId id) const finalgum::GraphicalModelInference< GUM_SCALAR >virtual
hasSoftEvidence(const std::string &nodeName) const finalgum::GraphicalModelInference< GUM_SCALAR >virtual
I(NodeId X, NodeId Y)gum::JointTargetedInference< GUM_SCALAR >
I(const std::string &Xname, const std::string &Yname)gum::JointTargetedInference< GUM_SCALAR >
isInferenceDone() const noexcept finalgum::GraphicalModelInference< GUM_SCALAR >virtual
isInferenceOutdatedPotentials() const noexcept finalgum::GraphicalModelInference< GUM_SCALAR >virtual
isInferenceOutdatedStructure() const noexcept finalgum::GraphicalModelInference< GUM_SCALAR >virtual
isInferenceReady() const noexcept finalgum::GraphicalModelInference< GUM_SCALAR >virtual
isJointTarget(const NodeSet &vars) const finalgum::JointTargetedInference< GUM_SCALAR >virtual
isTarget(NodeId node) const finalgum::MarginalTargetedInference< GUM_SCALAR >virtual
isTarget(const std::string &nodeName) const finalgum::MarginalTargetedInference< GUM_SCALAR >virtual
isTargetedMode_() constgum::MarginalTargetedInference< GUM_SCALAR >protected
jointMutualInformation(const NodeSet &targets)gum::JointTargetedInference< GUM_SCALAR >
jointMutualInformation(const std::vector< std::string > &targets)gum::JointTargetedInference< GUM_SCALAR >
jointPosterior(const NodeSet &nodes) finalgum::JointTargetedInference< GUM_SCALAR >virtual
jointPosterior_(const NodeSet &set) finalgum::VariableElimination< GUM_SCALAR >protectedvirtual
jointPosterior_(const NodeSet &wanted_target, const NodeSet &declared_target) finalgum::VariableElimination< GUM_SCALAR >protectedvirtual
JointTargetedInference(const IBayesNet< GUM_SCALAR > *bn)gum::JointTargetedInference< GUM_SCALAR >explicit
jointTargets() const noexcept finalgum::JointTargetedInference< GUM_SCALAR >virtual
JT__gum::VariableElimination< GUM_SCALAR >private
junctionTree(NodeId id)gum::VariableElimination< GUM_SCALAR >
makeInference() finalgum::GraphicalModelInference< GUM_SCALAR >virtual
makeInference_() finalgum::VariableElimination< GUM_SCALAR >protectedvirtual
marginalizeOut__(PotentialSet__ pot_list, Set< const DiscreteVariable * > &del_vars, Set< const DiscreteVariable * > &kept_vars)gum::VariableElimination< GUM_SCALAR >private
MarginalTargetedInference(const IBayesNet< GUM_SCALAR > *bn)gum::MarginalTargetedInference< GUM_SCALAR >explicit
model() const finalgum::GraphicalModelInference< GUM_SCALAR >virtual
nbrEvidence() const finalgum::GraphicalModelInference< GUM_SCALAR >virtual
nbrHardEvidence() const finalgum::GraphicalModelInference< GUM_SCALAR >virtual
nbrJointTargets() const noexcept finalgum::JointTargetedInference< GUM_SCALAR >virtual
nbrSoftEvidence() const finalgum::GraphicalModelInference< GUM_SCALAR >virtual
nbrTargets() const noexcept finalgum::MarginalTargetedInference< GUM_SCALAR >virtual
node_to_clique__gum::VariableElimination< GUM_SCALAR >private
NodePotentials__(NodeId node)gum::VariableElimination< GUM_SCALAR >private
onAllEvidenceErased_(bool contains_hard_evidence) finalgum::VariableElimination< GUM_SCALAR >protectedvirtual
onAllJointTargetsErased_() finalgum::VariableElimination< GUM_SCALAR >protectedvirtual
onAllMarginalTargetsAdded_() finalgum::VariableElimination< GUM_SCALAR >protectedvirtual
onAllMarginalTargetsErased_() finalgum::VariableElimination< GUM_SCALAR >protectedvirtual
onAllTargetsErased_() finalgum::VariableElimination< GUM_SCALAR >protectedvirtual
one_minus_epsilon__gum::VariableElimination< GUM_SCALAR >private
onEvidenceAdded_(const NodeId id, bool isHardEvidence) finalgum::VariableElimination< GUM_SCALAR >protectedvirtual
onEvidenceChanged_(const NodeId id, bool hasChangedSoftHard) finalgum::VariableElimination< GUM_SCALAR >protectedvirtual
onEvidenceErased_(const NodeId id, bool isHardEvidence) finalgum::VariableElimination< GUM_SCALAR >protectedvirtual
onJointTargetAdded_(const NodeSet &set) finalgum::VariableElimination< GUM_SCALAR >protectedvirtual
onJointTargetErased_(const NodeSet &set) finalgum::VariableElimination< GUM_SCALAR >protectedvirtual
onMarginalTargetAdded_(const NodeId id) finalgum::VariableElimination< GUM_SCALAR >protectedvirtual
onMarginalTargetErased_(const NodeId id) finalgum::VariableElimination< GUM_SCALAR >protectedvirtual
onModelChanged_(const GraphicalModel *bn) finalgum::VariableElimination< GUM_SCALAR >protectedvirtual
onStateChanged_() finalgum::VariableElimination< GUM_SCALAR >inlineprotectedvirtual
operator=(const VariableElimination< GUM_SCALAR > &)=deletegum::VariableElimination< GUM_SCALAR >
posterior(NodeId node) finalgum::JointTargetedInference< GUM_SCALAR >virtual
posterior(const std::string &nodeName) finalgum::JointTargetedInference< GUM_SCALAR >virtual
posterior_(NodeId id) finalgum::VariableElimination< GUM_SCALAR >protectedvirtual
PotentialSet__ typedefgum::VariableElimination< GUM_SCALAR >private
PotentialSetIterator__ typedefgum::VariableElimination< GUM_SCALAR >private
prepareInference() finalgum::GraphicalModelInference< GUM_SCALAR >virtual
produceMessage__(NodeId from_id, NodeId to_id, std::pair< PotentialSet__, PotentialSet__ > &&incoming_messages)gum::VariableElimination< GUM_SCALAR >private
projection_op__gum::VariableElimination< GUM_SCALAR >inlineprivate
removeBarrenVariables__(PotentialSet__ &pot_list, Set< const DiscreteVariable * > &del_vars)gum::VariableElimination< GUM_SCALAR >private
setBN(const IBayesNet< GUM_SCALAR > *bn)gum::BayesNetInference< GUM_SCALAR >virtual
setCombinationFunction__(Potential< GUM_SCALAR > *(*comb)(const Potential< GUM_SCALAR > &, const Potential< GUM_SCALAR > &))gum::VariableElimination< GUM_SCALAR >private
setFindBarrenNodesType(FindBarrenNodesType type)gum::VariableElimination< GUM_SCALAR >
setModel_(const GraphicalModel *model)gum::GraphicalModelInference< GUM_SCALAR >protected
setModelDuringConstruction_(const GraphicalModel *model)gum::GraphicalModelInference< GUM_SCALAR >protected
setOutdatedPotentialsState_()gum::GraphicalModelInference< GUM_SCALAR >protected
setOutdatedStructureState_()gum::GraphicalModelInference< GUM_SCALAR >protected
setProjectionFunction__(Potential< GUM_SCALAR > *(*proj)(const Potential< GUM_SCALAR > &, const Set< const DiscreteVariable * > &))gum::VariableElimination< GUM_SCALAR >private
setRelevantPotentialsFinderType(RelevantPotentialsFinderType type)gum::VariableElimination< GUM_SCALAR >
setState_(const StateOfInference state) finalgum::GraphicalModelInference< GUM_SCALAR >protectedvirtual
setTargetedMode_()gum::MarginalTargetedInference< GUM_SCALAR >protected
setTriangulation(const Triangulation &new_triangulation)gum::VariableElimination< GUM_SCALAR >
softEvidenceNodes() constgum::GraphicalModelInference< GUM_SCALAR >
state() const noexcept finalgum::GraphicalModelInference< GUM_SCALAR >virtual
StateOfInference enum namegum::GraphicalModelInference< GUM_SCALAR >
target_posterior__gum::VariableElimination< GUM_SCALAR >private
targets() const noexcept finalgum::MarginalTargetedInference< GUM_SCALAR >virtual
targets2clique__gum::VariableElimination< GUM_SCALAR >private
triangulation__gum::VariableElimination< GUM_SCALAR >private
unnormalizedJointPosterior_(NodeId id) finalgum::VariableElimination< GUM_SCALAR >protectedvirtual
unnormalizedJointPosterior_(const NodeSet &set) finalgum::VariableElimination< GUM_SCALAR >protectedvirtual
updateOutdatedPotentials_() finalgum::VariableElimination< GUM_SCALAR >protectedvirtual
updateOutdatedStructure_() finalgum::VariableElimination< GUM_SCALAR >protectedvirtual
VariableElimination(const IBayesNet< GUM_SCALAR > *BN, RelevantPotentialsFinderType relevant_type=RelevantPotentialsFinderType::DSEP_BAYESBALL_POTENTIALS, FindBarrenNodesType=FindBarrenNodesType::FIND_BARREN_NODES)gum::VariableElimination< GUM_SCALAR >explicit
VariableElimination(const VariableElimination< GUM_SCALAR > &)=deletegum::VariableElimination< GUM_SCALAR >
VI(NodeId X, NodeId Y)gum::JointTargetedInference< GUM_SCALAR >
VI(const std::string &Xname, const std::string &Yname)gum::JointTargetedInference< GUM_SCALAR >
~BayesNetInference()gum::BayesNetInference< GUM_SCALAR >virtual
~GraphicalModelInference()gum::GraphicalModelInference< GUM_SCALAR >virtual
~JointTargetedInference()gum::JointTargetedInference< GUM_SCALAR >virtual
~MarginalTargetedInference()gum::MarginalTargetedInference< GUM_SCALAR >virtual
~VariableElimination() finalgum::VariableElimination< GUM_SCALAR >