aGrUM  0.20.3
a C++ library for (probabilistic) graphical models
gum::LazyPropagation< GUM_SCALAR > Member List

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

_barren_nodes_type_gum::LazyPropagation< GUM_SCALAR >private
_clique_potentials_gum::LazyPropagation< GUM_SCALAR >private
_collectMessage_(NodeId id, NodeId from)gum::LazyPropagation< GUM_SCALAR >private
_combination_op_gum::LazyPropagation< GUM_SCALAR >inlineprivate
_computeJoinTreeRoots_()gum::LazyPropagation< GUM_SCALAR >private
_constants_gum::LazyPropagation< GUM_SCALAR >private
_created_potentials_gum::LazyPropagation< GUM_SCALAR >private
_createNewJT_()gum::LazyPropagation< GUM_SCALAR >private
_diffuseMessageInvalidations_(NodeId from_id, NodeId to_id, NodeSet &invalidated_cliques)gum::LazyPropagation< GUM_SCALAR >private
_evidence_changes_gum::LazyPropagation< GUM_SCALAR >private
_find_relevant_potential_type_gum::LazyPropagation< GUM_SCALAR >private
_findRelevantPotentials_gum::LazyPropagation< GUM_SCALAR >private
_findRelevantPotentialsGetAll_(_PotentialSet_ &pot_list, Set< const DiscreteVariable * > &kept_vars)gum::LazyPropagation< GUM_SCALAR >private
_findRelevantPotentialsWithdSeparation2_(_PotentialSet_ &pot_list, Set< const DiscreteVariable * > &kept_vars)gum::LazyPropagation< GUM_SCALAR >private
_findRelevantPotentialsWithdSeparation3_(_PotentialSet_ &pot_list, Set< const DiscreteVariable * > &kept_vars)gum::LazyPropagation< GUM_SCALAR >private
_findRelevantPotentialsWithdSeparation_(_PotentialSet_ &pot_list, Set< const DiscreteVariable * > &kept_vars)gum::LazyPropagation< GUM_SCALAR >private
_findRelevantPotentialsXX_(_PotentialSet_ &pot_list, Set< const DiscreteVariable * > &kept_vars)gum::LazyPropagation< GUM_SCALAR >private
_graph_gum::LazyPropagation< GUM_SCALAR >private
_hard_ev_nodes_gum::LazyPropagation< GUM_SCALAR >private
_hard_ev_projected_CPTs_gum::LazyPropagation< GUM_SCALAR >private
_invalidateAllMessages_()gum::LazyPropagation< GUM_SCALAR >private
_is_new_jt_needed_gum::LazyPropagation< GUM_SCALAR >private
_isNewJTNeeded_() constgum::LazyPropagation< GUM_SCALAR >private
_joint_target_posteriors_gum::LazyPropagation< GUM_SCALAR >private
_joint_target_to_clique_gum::LazyPropagation< GUM_SCALAR >private
_JT_gum::LazyPropagation< GUM_SCALAR >private
_junctionTree_gum::LazyPropagation< GUM_SCALAR >private
_marginalizeOut_(_PotentialSet_ pot_list, Set< const DiscreteVariable * > &del_vars, Set< const DiscreteVariable * > &kept_vars)gum::LazyPropagation< GUM_SCALAR >private
_messages_computed_gum::LazyPropagation< GUM_SCALAR >private
_node_to_clique_gum::LazyPropagation< GUM_SCALAR >private
_node_to_soft_evidence_gum::LazyPropagation< GUM_SCALAR >private
_one_minus_epsilon_gum::LazyPropagation< GUM_SCALAR >private
_PotentialSet_ typedefgum::LazyPropagation< GUM_SCALAR >private
_PotentialSetIterator_ typedefgum::LazyPropagation< GUM_SCALAR >private
_produceMessage_(NodeId from_id, NodeId to_id)gum::LazyPropagation< GUM_SCALAR >private
_projection_op_gum::LazyPropagation< GUM_SCALAR >inlineprivate
_removeBarrenVariables_(_PotentialSet_ &pot_list, Set< const DiscreteVariable * > &del_vars)gum::LazyPropagation< GUM_SCALAR >private
_roots_gum::LazyPropagation< GUM_SCALAR >private
_separator_potentials_gum::LazyPropagation< GUM_SCALAR >private
_setCombinationFunction_(Potential< GUM_SCALAR > *(*comb)(const Potential< GUM_SCALAR > &, const Potential< GUM_SCALAR > &))gum::LazyPropagation< GUM_SCALAR >private
_setProjectionFunction_(Potential< GUM_SCALAR > *(*proj)(const Potential< GUM_SCALAR > &, const Set< const DiscreteVariable * > &))gum::LazyPropagation< GUM_SCALAR >private
_target_posteriors_gum::LazyPropagation< GUM_SCALAR >private
_triangulation_gum::LazyPropagation< GUM_SCALAR >private
_use_binary_join_tree_gum::LazyPropagation< GUM_SCALAR >private
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
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
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 >
EVIDENCE_ADDED enum valuegum::LazyPropagation< GUM_SCALAR >private
EVIDENCE_ERASED enum valuegum::LazyPropagation< GUM_SCALAR >private
EVIDENCE_MODIFIED enum valuegum::LazyPropagation< GUM_SCALAR >private
EvidenceChangeType enum namegum::LazyPropagation< GUM_SCALAR >private
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 >
EvidenceInference(const IBayesNet< GUM_SCALAR > *bn)gum::EvidenceInference< GUM_SCALAR >explicit
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 >
evidenceProbability() finalgum::LazyPropagation< GUM_SCALAR >virtual
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::LazyPropagation< GUM_SCALAR >protectedvirtual
jointPosterior_(const NodeSet &wanted_target, const NodeSet &declared_target) finalgum::LazyPropagation< GUM_SCALAR >protectedvirtual
joinTree()gum::LazyPropagation< GUM_SCALAR >
JointTargetedInference(const IBayesNet< GUM_SCALAR > *bn)gum::JointTargetedInference< GUM_SCALAR >explicit
jointTargets() const noexcept finalgum::JointTargetedInference< GUM_SCALAR >virtual
junctionTree()gum::LazyPropagation< GUM_SCALAR >
LazyPropagation(const IBayesNet< GUM_SCALAR > *BN, RelevantPotentialsFinderType=RelevantPotentialsFinderType::DSEP_BAYESBALL_POTENTIALS, FindBarrenNodesType=FindBarrenNodesType::FIND_BARREN_NODES, bool use_binary_join_tree=true)gum::LazyPropagation< GUM_SCALAR >explicit
LazyPropagation(const LazyPropagation< GUM_SCALAR > &)=deletegum::LazyPropagation< GUM_SCALAR >
makeInference() finalgum::GraphicalModelInference< GUM_SCALAR >virtual
makeInference_() finalgum::LazyPropagation< GUM_SCALAR >protectedvirtual
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
onAllEvidenceErased_(bool has_hard_evidence) finalgum::LazyPropagation< GUM_SCALAR >protectedvirtual
onAllJointTargetsErased_() finalgum::LazyPropagation< GUM_SCALAR >protectedvirtual
onAllMarginalTargetsAdded_() finalgum::LazyPropagation< GUM_SCALAR >protectedvirtual
onAllMarginalTargetsErased_() finalgum::LazyPropagation< GUM_SCALAR >protectedvirtual
onAllTargetsErased_() finalgum::LazyPropagation< GUM_SCALAR >protectedvirtual
onEvidenceAdded_(const NodeId id, bool isHardEvidence) finalgum::LazyPropagation< GUM_SCALAR >protectedvirtual
onEvidenceChanged_(const NodeId id, bool hasChangedSoftHard) finalgum::LazyPropagation< GUM_SCALAR >protectedvirtual
onEvidenceErased_(const NodeId id, bool isHardEvidence) finalgum::LazyPropagation< GUM_SCALAR >protectedvirtual
onJointTargetAdded_(const NodeSet &set) finalgum::LazyPropagation< GUM_SCALAR >protectedvirtual
onJointTargetErased_(const NodeSet &set) finalgum::LazyPropagation< GUM_SCALAR >protectedvirtual
onMarginalTargetAdded_(const NodeId id) finalgum::LazyPropagation< GUM_SCALAR >protectedvirtual
onMarginalTargetErased_(const NodeId id) finalgum::LazyPropagation< GUM_SCALAR >protectedvirtual
onModelChanged_(const GraphicalModel *bn) finalgum::LazyPropagation< GUM_SCALAR >protectedvirtual
onStateChanged_() finalgum::LazyPropagation< GUM_SCALAR >inlineprotectedvirtual
operator=(const LazyPropagation< GUM_SCALAR > &)=deletegum::LazyPropagation< GUM_SCALAR >
posterior(NodeId node) finalgum::JointTargetedInference< GUM_SCALAR >virtual
posterior(const std::string &nodeName) finalgum::JointTargetedInference< GUM_SCALAR >virtual
posterior_(NodeId id) finalgum::LazyPropagation< GUM_SCALAR >protectedvirtual
prepareInference() finalgum::GraphicalModelInference< GUM_SCALAR >virtual
setBN(const IBayesNet< GUM_SCALAR > *bn)gum::BayesNetInference< GUM_SCALAR >virtual
setFindBarrenNodesType(FindBarrenNodesType type)gum::LazyPropagation< 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
setRelevantPotentialsFinderType(RelevantPotentialsFinderType type)gum::LazyPropagation< GUM_SCALAR >
setState_(const StateOfInference state) finalgum::GraphicalModelInference< GUM_SCALAR >protectedvirtual
setTargetedMode_()gum::MarginalTargetedInference< GUM_SCALAR >protected
setTriangulation(const Triangulation &new_triangulation)gum::LazyPropagation< GUM_SCALAR >
softEvidenceNodes() constgum::GraphicalModelInference< GUM_SCALAR >
state() const noexcept finalgum::GraphicalModelInference< GUM_SCALAR >virtual
StateOfInference enum namegum::GraphicalModelInference< GUM_SCALAR >
targets() const noexcept finalgum::MarginalTargetedInference< GUM_SCALAR >virtual
unnormalizedJointPosterior_(NodeId id) finalgum::LazyPropagation< GUM_SCALAR >protectedvirtual
unnormalizedJointPosterior_(const NodeSet &set) finalgum::LazyPropagation< GUM_SCALAR >protectedvirtual
updateOutdatedPotentials_() finalgum::LazyPropagation< GUM_SCALAR >protectedvirtual
updateOutdatedStructure_() finalgum::LazyPropagation< GUM_SCALAR >protectedvirtual
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
~EvidenceInference()gum::EvidenceInference< GUM_SCALAR >virtual
~GraphicalModelInference()gum::GraphicalModelInference< GUM_SCALAR >virtual
~JointTargetedInference()gum::JointTargetedInference< GUM_SCALAR >virtual
~LazyPropagation() finalgum::LazyPropagation< GUM_SCALAR >
~MarginalTargetedInference()gum::MarginalTargetedInference< GUM_SCALAR >virtual