aGrUM 2.3.2
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.

_barren_nodes_type_gum::VariableElimination< GUM_SCALAR >private
_clique_to_nodes_gum::VariableElimination< GUM_SCALAR >private
_collectMessage_(Schedule &schedule, NodeId id, NodeId from)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
_find_relevant_tensor_type_gum::VariableElimination< GUM_SCALAR >private
_findRelevantTensors_gum::VariableElimination< GUM_SCALAR >private
_findRelevantTensorsGetAll_(_ScheduleMultiDimSet_ &pot_list, gum::VariableSet &kept_vars)gum::VariableElimination< GUM_SCALAR >private
_findRelevantTensorsWithdSeparation2_(_ScheduleMultiDimSet_ &pot_list, gum::VariableSet &kept_vars)gum::VariableElimination< GUM_SCALAR >private
_findRelevantTensorsWithdSeparation3_(_ScheduleMultiDimSet_ &pot_list, gum::VariableSet &kept_vars)gum::VariableElimination< GUM_SCALAR >private
_findRelevantTensorsWithdSeparation_(_ScheduleMultiDimSet_ &pot_list, gum::VariableSet &kept_vars)gum::VariableElimination< GUM_SCALAR >private
_findRelevantTensorsXX_(_ScheduleMultiDimSet_ &pot_list, gum::VariableSet &kept_vars)gum::VariableElimination< GUM_SCALAR >private
_graph_gum::VariableElimination< GUM_SCALAR >private
_joint_targets_gum::JointTargetedInference< GUM_SCALAR >private
_JT_gum::VariableElimination< GUM_SCALAR >private
_marginalizeOut_(_TensorSet_ pot_list, gum::VariableSet &del_vars, gum::VariableSet &kept_vars)gum::VariableElimination< GUM_SCALAR >private
_marginalizeOut_(Schedule &schedule, _ScheduleMultiDimSet_ pot_list, gum::VariableSet &del_vars, gum::VariableSet &kept_vars)gum::VariableElimination< GUM_SCALAR >private
_nb_threads_gum::ThreadNumberManagerprivate
_node_to_clique_gum::VariableElimination< GUM_SCALAR >private
_NodeTensors_(NodeId node)gum::VariableElimination< GUM_SCALAR >private
_NodeTensors_(Schedule &schedule, NodeId node)gum::VariableElimination< GUM_SCALAR >private
_one_minus_epsilon_gum::VariableElimination< GUM_SCALAR >private
_produceMessage_(NodeId from_id, NodeId to_id, std::pair< _TensorSet_, _TensorSet_ > &&incoming_messages)gum::VariableElimination< GUM_SCALAR >private
_produceMessage_(Schedule &schedule, NodeId from_id, NodeId to_id, _ScheduleMultiDimSet_ &&incoming_messages)gum::VariableElimination< GUM_SCALAR >private
_projection_op_gum::VariableElimination< GUM_SCALAR >inlineprivate
_removeBarrenVariables_(Schedule &schedule, _ScheduleMultiDimSet_ &pot_list, gum::VariableSet &del_vars)gum::VariableElimination< GUM_SCALAR >private
_removeBarrenVariables_(_TensorSet_ &pot_list, gum::VariableSet &del_vars)gum::VariableElimination< GUM_SCALAR >private
_schedule_threshold_gum::VariableElimination< GUM_SCALAR >privatestatic
_ScheduleMultiDimSet_ typedefgum::VariableElimination< GUM_SCALAR >private
_scheduler_parallel_gum::ScheduledInferenceprivate
_scheduler_sequential_gum::ScheduledInferenceprivate
_setAllMarginalTargets_()gum::MarginalTargetedInference< GUM_SCALAR >private
_setCombinationFunction_(Tensor< GUM_SCALAR >(*comb)(const Tensor< GUM_SCALAR > &, const Tensor< GUM_SCALAR > &))gum::VariableElimination< GUM_SCALAR >private
_setProjectionFunction_(Tensor< GUM_SCALAR >(*proj)(const Tensor< GUM_SCALAR > &, const gum::VariableSet &))gum::VariableElimination< GUM_SCALAR >private
_target_posterior_gum::VariableElimination< GUM_SCALAR >private
_targeted_mode_gum::MarginalTargetedInference< GUM_SCALAR >private
_targets2clique_gum::VariableElimination< GUM_SCALAR >private
_targets_gum::MarginalTargetedInference< GUM_SCALAR >private
_TensorSet_ typedefgum::VariableElimination< GUM_SCALAR >private
_triangulation_gum::VariableElimination< GUM_SCALAR >private
_unnormalizedJointPosterior_(NodeId id)gum::VariableElimination< GUM_SCALAR >private
_unnormalizedJointPosterior_(Schedule &schedule, NodeId id)gum::VariableElimination< GUM_SCALAR >private
_unnormalizedJointPosterior_(const NodeSet &set, const NodeSet &targets, const NodeSet &hard_evidence_nodes)gum::VariableElimination< GUM_SCALAR >private
_unnormalizedJointPosterior_(Schedule &schedule, const NodeSet &set, const NodeSet &targets, const NodeSet &hard_evidence_nodes)gum::VariableElimination< GUM_SCALAR >private
addAllTargets() finalgum::MarginalTargetedInference< GUM_SCALAR >virtual
addEvidence(NodeId id, const Idx val) finalgum::GraphicalModelInference< GUM_SCALAR >virtual
gum::MarginalTargetedInference::addEvidence(const std::string &nodeName, const Idx val) finalgum::GraphicalModelInference< GUM_SCALAR >virtual
gum::MarginalTargetedInference::addEvidence(NodeId id, const std::string &label) finalgum::GraphicalModelInference< GUM_SCALAR >virtual
gum::MarginalTargetedInference::addEvidence(const std::string &nodeName, const std::string &label) finalgum::GraphicalModelInference< GUM_SCALAR >virtual
gum::MarginalTargetedInference::addEvidence(NodeId id, const std::vector< GUM_SCALAR > &vals) finalgum::GraphicalModelInference< GUM_SCALAR >virtual
gum::MarginalTargetedInference::addEvidence(const std::string &nodeName, const std::vector< GUM_SCALAR > &vals) finalgum::GraphicalModelInference< GUM_SCALAR >virtual
gum::MarginalTargetedInference::addEvidence(const Tensor< GUM_SCALAR > &pot) finalgum::GraphicalModelInference< GUM_SCALAR >virtual
gum::MarginalTargetedInference::addEvidence(Tensor< GUM_SCALAR > &&pot) finalgum::GraphicalModelInference< GUM_SCALAR >virtual
addJointTarget(const NodeSet &joint_target) finalgum::JointTargetedInference< GUM_SCALAR >virtual
addListOfEvidence(const List< const Tensor< GUM_SCALAR > * > &potlist) finalgum::GraphicalModelInference< GUM_SCALAR >virtual
addSetOfEvidence(const Set< const Tensor< 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
gum::MarginalTargetedInference::BayesNetInference()gum::BayesNetInference< GUM_SCALAR >
BN() const finalgum::BayesNetInference< GUM_SCALAR >virtual
chgEvidence(NodeId id, const Idx val) finalgum::GraphicalModelInference< GUM_SCALAR >virtual
gum::MarginalTargetedInference::chgEvidence(const std::string &nodeName, const Idx val) finalgum::GraphicalModelInference< GUM_SCALAR >virtual
gum::MarginalTargetedInference::chgEvidence(NodeId id, const std::string &label) finalgum::GraphicalModelInference< GUM_SCALAR >virtual
gum::MarginalTargetedInference::chgEvidence(const std::string &nodeName, const std::string &label) finalgum::GraphicalModelInference< GUM_SCALAR >virtual
gum::MarginalTargetedInference::chgEvidence(NodeId id, const std::vector< GUM_SCALAR > &vals) finalgum::GraphicalModelInference< GUM_SCALAR >virtual
gum::MarginalTargetedInference::chgEvidence(const std::string &nodeName, const std::vector< GUM_SCALAR > &vals) finalgum::GraphicalModelInference< GUM_SCALAR >virtual
gum::MarginalTargetedInference::chgEvidence(const Tensor< GUM_SCALAR > &pot) finalgum::GraphicalModelInference< GUM_SCALAR >virtual
clear()gum::GraphicalModelInference< GUM_SCALAR >virtual
clone() constgum::ScheduledInferencevirtual
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
gum::MarginalTargetedInference::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 >
getNumberOfThreads() constgum::ThreadNumberManagervirtual
GraphicalModelInference(const GraphicalModel *model)gum::GraphicalModelInference< GUM_SCALAR >explicit
gum::MarginalTargetedInference::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
gum::MarginalTargetedInference::hasEvidence(NodeId id) const finalgum::GraphicalModelInference< GUM_SCALAR >virtual
gum::MarginalTargetedInference::hasEvidence(const std::string &nodeName) const finalgum::GraphicalModelInference< GUM_SCALAR >virtual
hasHardEvidence(NodeId id) const finalgum::GraphicalModelInference< GUM_SCALAR >virtual
gum::MarginalTargetedInference::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
gum::MarginalTargetedInference::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 >
isGumNumberOfThreadsOverriden() constgum::ThreadNumberManagervirtual
isInferenceDone() const noexcept finalgum::GraphicalModelInference< GUM_SCALAR >virtual
isInferenceOutdatedStructure() const noexcept finalgum::GraphicalModelInference< GUM_SCALAR >virtual
isInferenceOutdatedTensors() const noexcept finalgum::GraphicalModelInference< GUM_SCALAR >virtual
isInferenceReady() const noexcept finalgum::GraphicalModelInference< GUM_SCALAR >virtual
isInTargetMode() const noexcept finalgum::MarginalTargetedInference< 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
junctionTree(NodeId id)gum::VariableElimination< GUM_SCALAR >
makeInference() finalgum::GraphicalModelInference< GUM_SCALAR >virtual
makeInference_() finalgum::VariableElimination< GUM_SCALAR >protectedvirtual
MarginalTargetedInference(const IBayesNet< GUM_SCALAR > *bn)gum::MarginalTargetedInference< GUM_SCALAR >explicit
maxMemory() constgum::ScheduledInferencevirtual
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::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
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 >
gum::ScheduledInference::operator=(const ScheduledInference &from)gum::ScheduledInference
gum::ScheduledInference::operator=(ScheduledInference &&from)gum::ScheduledInference
gum::ThreadNumberManager::operator=(const ThreadNumberManager &from)gum::ThreadNumberManager
gum::ThreadNumberManager::operator=(ThreadNumberManager &&from)gum::ThreadNumberManager
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
prepareInference() finalgum::GraphicalModelInference< GUM_SCALAR >virtual
ScheduledInference(Size max_nb_threads=0, double max_megabyte_memory=0.0)gum::ScheduledInference
ScheduledInference(const ScheduledInference &from)gum::ScheduledInference
ScheduledInference(ScheduledInference &&from)gum::ScheduledInference
scheduler() constgum::ScheduledInference
setBN(const IBayesNet< GUM_SCALAR > *bn)gum::BayesNetInference< GUM_SCALAR >virtual
setFindBarrenNodesType(FindBarrenNodesType type)gum::VariableElimination< GUM_SCALAR >
setMaxMemory(double megabytes)gum::ScheduledInference
setModel_(const GraphicalModel *model)gum::GraphicalModelInference< GUM_SCALAR >protected
setModelDuringConstruction_(const GraphicalModel *model)gum::GraphicalModelInference< GUM_SCALAR >protected
setNumberOfThreads(Size nb) finalgum::ScheduledInferencevirtual
setOutdatedStructureState_()gum::GraphicalModelInference< GUM_SCALAR >protected
setOutdatedTensorsState_()gum::GraphicalModelInference< GUM_SCALAR >protected
setRelevantTensorsFinderType(RelevantTensorsFinderType 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 >
targets() const noexcept finalgum::MarginalTargetedInference< GUM_SCALAR >virtual
ThreadNumberManager(Size nb_threads=0)gum::ThreadNumberManager
ThreadNumberManager(const ThreadNumberManager &from)gum::ThreadNumberManager
ThreadNumberManager(ThreadNumberManager &&from)gum::ThreadNumberManager
unnormalizedJointPosterior_(NodeId id) finalgum::VariableElimination< GUM_SCALAR >protectedvirtual
unnormalizedJointPosterior_(const NodeSet &set) finalgum::VariableElimination< GUM_SCALAR >protectedvirtual
updateOutdatedStructure_() finalgum::VariableElimination< GUM_SCALAR >protectedvirtual
updateOutdatedTensors_() finalgum::VariableElimination< GUM_SCALAR >protectedvirtual
VariableElimination(const IBayesNet< GUM_SCALAR > *BN, RelevantTensorsFinderType=RelevantTensorsFinderType::DSEP_BAYESBALL_TENSORS, 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
~ScheduledInference()gum::ScheduledInferencevirtual
~ThreadNumberManager()gum::ThreadNumberManagervirtual
~VariableElimination()gum::VariableElimination< GUM_SCALAR >