50#ifndef GUM_MARKOV_RANDOM_FIELD_JOINT_TARGETED_INFERENCE_H
51#define GUM_MARKOV_RANDOM_FIELD_JOINT_TARGETED_INFERENCE_H
75 template <
typename GUM_SCALAR >
150 virtual const Tensor< GUM_SCALAR >&
posterior(
const std::string& nodeName)
final;
221 const std::vector< std::string >& evs);
280 const NodeSet& declared_target)
Virtual base class for probabilistic graphical models.
Class representing the minimal interface for Markov random field.
virtual const Tensor< GUM_SCALAR > & jointPosterior_(const NodeSet &wanted_target, const NodeSet &declared_target)=0
asks derived classes for the joint posterior of a set of variables not declared as a joint target
virtual void eraseJointTarget(const NodeSet &joint_target) final
removes an existing joint target
virtual ~JointTargetedMRFInference()
destructor
virtual void eraseAllJointTargets() final
Clear all previously defined joint targets.
virtual Size nbrJointTargets() const noexcept final
returns the number of joint targets
GUM_SCALAR jointMutualInformation(const NodeSet &targets)
Mutual information between targets.
virtual void eraseAllMarginalTargets() final
Clear all the previously defined marginal targets.
Set< NodeSet > _joint_targets_
the set of joint targets
virtual bool isJointTarget(const NodeSet &vars) const final
return true if target is a joint target.
virtual const Tensor< GUM_SCALAR > & jointPosterior(const NodeSet &nodes) final
Compute the joint posterior of a set of nodes.
virtual void addJointTarget(const NodeSet &joint_target) final
Add a set of nodes as a new joint target. As a collateral effect, every node is added as a marginal t...
virtual Tensor< GUM_SCALAR > * unnormalizedJointPosterior_(NodeId id)=0
returns a fresh tensor equal to P(argument,evidence)
virtual const Set< NodeSet > & jointTargets() const noexcept final
returns the list of joint targets
virtual void onJointTargetErased_(const NodeSet &set)=0
fired before a joint target is removed
virtual const Tensor< GUM_SCALAR > & posterior(NodeId node) final
Computes and returns the posterior of a node.
virtual const Tensor< GUM_SCALAR > & jointPosterior_(const NodeSet &set)=0
asks derived classes for the joint posterior of a declared target set
virtual void onAllJointTargetsErased_()=0
fired before a all the joint targets are removed
virtual void onAllTargetsErased_()=0
fired before a all the marginal and joint targets are removed
virtual void onJointTargetAdded_(const NodeSet &set)=0
fired after a new joint target is inserted
virtual bool isExactJointComputable_(const NodeSet &vars)
check if the vars form a possible computable joint (can be redefined by subclass)
virtual Tensor< GUM_SCALAR > * unnormalizedJointPosterior_(const NodeSet &set)=0
returns a fresh unnormalized joint posterior of a given set of variables
Tensor< GUM_SCALAR > evidenceJointImpact(const NodeSet &targets, const NodeSet &evs)
Create a gum::Tensor for P(joint targets|evs) (for all instanciation of targets and evs).
JointTargetedMRFInference(const IMarkovRandomField< GUM_SCALAR > *mn)
default constructor
virtual NodeSet superForJointComputable_(const NodeSet &vars)
virtual void eraseAllTargets() final
Clear all previously defined targets (marginal and joint targets).
virtual void onModelChanged_(const GraphicalModel *mn) override
fired after a new Markov net has been assigned to the engine
virtual const NodeSet & targets() const noexcept final
returns the list of marginal targets
MarginalTargetedMRFInference(const IMarkovRandomField< GUM_SCALAR > *mn)
default constructor
std::size_t Size
In aGrUM, hashed values are unsigned long int.
Size NodeId
Type for node ids.
Set< NodeId > NodeSet
Some typdefs and define for shortcuts ...
Implementation of the non pure virtual methods of class JointTargetedMRFInference.
This file contains the abstract inference class definition for computing (incrementally) marginal pos...
gum is the global namespace for all aGrUM entities