aGrUM 2.3.2
a C++ library for (probabilistic) graphical models
marginalTargetedInference.h
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40
41
49
50#ifndef GUM_BAYES_NET_MARGINAL_TARGETED_INFERENCE_H
51#define GUM_BAYES_NET_MARGINAL_TARGETED_INFERENCE_H
52
53#include <string>
54
55#include <agrum/agrum.h>
56
58
59namespace gum {
60
61
75 template < typename GUM_SCALAR >
76 class MarginalTargetedInference: public virtual BayesNetInference< GUM_SCALAR > {
77 public:
78 // ############################################################################
80 // ############################################################################
82
84
88
91
93
94
95 // ############################################################################
97 // ############################################################################
99
101
115 virtual const Tensor< GUM_SCALAR >& posterior(NodeId node);
116
118
133 virtual const Tensor< GUM_SCALAR >& posterior(const std::string& nodeName);
134
136
137 // ############################################################################
139 // ############################################################################
141
143 virtual void eraseAllTargets();
144
146 virtual void addAllTargets() final;
147
149
152 virtual void addTarget(NodeId target) final;
153
155
158 virtual void addTarget(const std::string& nodeName) final;
159
161
163 virtual void eraseTarget(NodeId target) final;
164
166
168 virtual void eraseTarget(const std::string& nodeName) final;
169
171 virtual bool isTarget(NodeId node) const final;
172
174 virtual bool isTarget(const std::string& nodeName) const final;
175
177 virtual Size nbrTargets() const noexcept final;
178
180 virtual const NodeSet& targets() const noexcept final;
181
183 virtual bool isInTargetMode() const noexcept final;
184
186
187 // ############################################################################
189 // ############################################################################
191
196 virtual GUM_SCALAR H(NodeId X) final;
197
202 virtual GUM_SCALAR H(const std::string& nodeName) final;
203
205
206
218 Tensor< GUM_SCALAR > evidenceImpact(NodeId target, const NodeSet& evs);
219
230 Tensor< GUM_SCALAR > evidenceImpact(const std::string& target,
231 const std::vector< std::string >& evs);
232
233 protected:
235
236 virtual void onMarginalTargetAdded_(const NodeId id) = 0;
237
239
240 virtual void onMarginalTargetErased_(const NodeId id) = 0;
241
243 virtual void onAllMarginalTargetsAdded_() = 0;
244
246 virtual void onAllMarginalTargetsErased_() = 0;
247
249 virtual void onModelChanged_(const GraphicalModel* bn);
250
252
253 virtual const Tensor< GUM_SCALAR >& posterior_(NodeId id) = 0;
254
255 void setTargetedMode_();
256 bool isTargetedMode_() const;
257
258 private:
261
264
267 };
268
269
270} // namespace gum
271
273
274
275#endif // GUM_BAYES_NET_MARGINAL_TARGETED_INFERENCE_H
This file contains abstract class definitions for Bayesian networks inference classes.
BayesNetInference(const IBayesNet< GUM_SCALAR > *bn)
default constructor
Virtual base class for probabilistic graphical models.
Class representing the minimal interface for Bayesian network with no numerical data.
Definition IBayesNet.h:75
NodeSet _targets_
the set of marginal targets
virtual Size nbrTargets() const noexcept final
returns the number of marginal targets
virtual bool isInTargetMode() const noexcept final
indicates whether the inference is in a target mode
virtual const Tensor< GUM_SCALAR > & posterior(NodeId node)
Computes and returns the posterior of a node.
virtual void eraseTarget(NodeId target) final
removes an existing (marginal) target
virtual void onAllMarginalTargetsErased_()=0
fired before a all marginal targets are removed
void _setAllMarginalTargets_()
sets all the nodes of the Bayes net as targets
virtual const Tensor< GUM_SCALAR > & posterior_(NodeId id)=0
asks derived classes for the posterior of a given variable
virtual void onMarginalTargetErased_(const NodeId id)=0
fired before a marginal target is removed
virtual void eraseAllTargets()
Clear all previously defined targets.
virtual void onAllMarginalTargetsAdded_()=0
fired after all the nodes of the BN are added as marginal targets
virtual GUM_SCALAR H(NodeId X) final
Entropy Compute Shanon's entropy of a node given the observation.
bool _targeted_mode_
whether the actual targets are default
virtual const NodeSet & targets() const noexcept final
returns the list of marginal targets
MarginalTargetedInference(const IBayesNet< GUM_SCALAR > *bn)
default constructor
virtual bool isTarget(NodeId node) const final
return true if variable is a (marginal) target
virtual void addTarget(NodeId target) final
Add a marginal target to the list of targets.
virtual void addAllTargets() final
adds all nodes as targets
virtual void onModelChanged_(const GraphicalModel *bn)
fired after a new Bayes net has been assigned to the engine
virtual void onMarginalTargetAdded_(const NodeId id)=0
fired after a new marginal target is inserted
Tensor< GUM_SCALAR > evidenceImpact(NodeId target, const NodeSet &evs)
Create a gum::Tensor for P(target|evs) (for all instanciation of target and evs).
std::size_t Size
In aGrUM, hashed values are unsigned long int.
Definition types.h:74
Size NodeId
Type for node ids.
Set< NodeId > NodeSet
Some typdefs and define for shortcuts ...
Implementation of the generic class for the computation of (possibly incrementally) marginal posterio...
gum is the global namespace for all aGrUM entities
Definition agrum.h:46