aGrUM 3.1.1
a C++ library for (probabilistic) graphical models
loopySamplingInference.h
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40
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50
51#ifndef GUM_LOOPY_INFERENCE_H
52#define GUM_LOOPY_INFERENCE_H
53#include <agrum/BN/inference/GibbsSampling.h>
54#include <agrum/BN/inference/importanceSampling.h>
55#include <agrum/BN/inference/MonteCarloSampling.h>
56#include <agrum/BN/inference/weightedSampling.h>
57
58namespace gum {
59
74
75 template < GUM_Numeric GUM_SCALAR, template < typename > class APPROX >
76 class LoopySamplingInference: public APPROX< GUM_SCALAR > {
77 public:
81 explicit LoopySamplingInference(const IBayesNet< GUM_SCALAR >* bn);
82
86 ~LoopySamplingInference() override;
87
90 void makeInference_() override;
91
92 void setVirtualLBPSize(GUM_SCALAR vlbpsize);
93
94 protected:
95 GUM_SCALAR virtualLBPSize_;
96 };
97
98#ifndef GUM_NO_EXTERN_TEMPLATE_CLASS
99# ifndef GUM_NO_EXTERN_TEMPLATE_CLASS
100# ifndef GUM_NO_EXTERN_TEMPLATE_CLASS
101# ifndef GUM_NO_EXTERN_TEMPLATE_CLASS
102# ifndef GUM_NO_EXTERN_TEMPLATE_CLASS
103# ifndef GUM_NO_EXTERN_TEMPLATE_CLASS
104# ifndef GUM_NO_EXTERN_TEMPLATE_CLASS
105# ifndef GUM_NO_EXTERN_TEMPLATE_CLASS
106 extern template class LoopySamplingInference< float, WeightedSampling >;
107# endif
108# endif
109# endif
110# endif
111# endif
112# endif
113# endif
114#endif
115#ifndef GUM_NO_EXTERN_TEMPLATE_CLASS
116# ifndef GUM_NO_EXTERN_TEMPLATE_CLASS
117# ifndef GUM_NO_EXTERN_TEMPLATE_CLASS
118# ifndef GUM_NO_EXTERN_TEMPLATE_CLASS
119# ifndef GUM_NO_EXTERN_TEMPLATE_CLASS
120# ifndef GUM_NO_EXTERN_TEMPLATE_CLASS
121# ifndef GUM_NO_EXTERN_TEMPLATE_CLASS
122# ifndef GUM_NO_EXTERN_TEMPLATE_CLASS
123 extern template class LoopySamplingInference< double, WeightedSampling >;
124# endif
125# endif
126# endif
127# endif
128# endif
129# endif
130# endif
131#endif
132
133#ifndef GUM_NO_EXTERN_TEMPLATE_CLASS
134# ifndef GUM_NO_EXTERN_TEMPLATE_CLASS
135# ifndef GUM_NO_EXTERN_TEMPLATE_CLASS
136# ifndef GUM_NO_EXTERN_TEMPLATE_CLASS
137# ifndef GUM_NO_EXTERN_TEMPLATE_CLASS
138# ifndef GUM_NO_EXTERN_TEMPLATE_CLASS
139# ifndef GUM_NO_EXTERN_TEMPLATE_CLASS
140# ifndef GUM_NO_EXTERN_TEMPLATE_CLASS
141 extern template class LoopySamplingInference< float, ImportanceSampling >;
142# endif
143# endif
144# endif
145# endif
146# endif
147# endif
148# endif
149#endif
150#ifndef GUM_NO_EXTERN_TEMPLATE_CLASS
151# ifndef GUM_NO_EXTERN_TEMPLATE_CLASS
152# ifndef GUM_NO_EXTERN_TEMPLATE_CLASS
153# ifndef GUM_NO_EXTERN_TEMPLATE_CLASS
154# ifndef GUM_NO_EXTERN_TEMPLATE_CLASS
155# ifndef GUM_NO_EXTERN_TEMPLATE_CLASS
156# ifndef GUM_NO_EXTERN_TEMPLATE_CLASS
157# ifndef GUM_NO_EXTERN_TEMPLATE_CLASS
158 extern template class LoopySamplingInference< double, ImportanceSampling >;
159# endif
160# endif
161# endif
162# endif
163# endif
164# endif
165# endif
166#endif
167
168#ifndef GUM_NO_EXTERN_TEMPLATE_CLASS
169# ifndef GUM_NO_EXTERN_TEMPLATE_CLASS
170# ifndef GUM_NO_EXTERN_TEMPLATE_CLASS
171# ifndef GUM_NO_EXTERN_TEMPLATE_CLASS
172# ifndef GUM_NO_EXTERN_TEMPLATE_CLASS
173# ifndef GUM_NO_EXTERN_TEMPLATE_CLASS
174# ifndef GUM_NO_EXTERN_TEMPLATE_CLASS
175# ifndef GUM_NO_EXTERN_TEMPLATE_CLASS
176 extern template class LoopySamplingInference< float, MonteCarloSampling >;
177# endif
178# endif
179# endif
180# endif
181# endif
182# endif
183# endif
184#endif
185#ifndef GUM_NO_EXTERN_TEMPLATE_CLASS
186# ifndef GUM_NO_EXTERN_TEMPLATE_CLASS
187# ifndef GUM_NO_EXTERN_TEMPLATE_CLASS
188# ifndef GUM_NO_EXTERN_TEMPLATE_CLASS
189# ifndef GUM_NO_EXTERN_TEMPLATE_CLASS
190# ifndef GUM_NO_EXTERN_TEMPLATE_CLASS
191# ifndef GUM_NO_EXTERN_TEMPLATE_CLASS
192# ifndef GUM_NO_EXTERN_TEMPLATE_CLASS
193 extern template class LoopySamplingInference< double, MonteCarloSampling >;
194# endif
195# endif
196# endif
197# endif
198# endif
199# endif
200# endif
201#endif
202
203#ifndef GUM_NO_EXTERN_TEMPLATE_CLASS
204# ifndef GUM_NO_EXTERN_TEMPLATE_CLASS
205# ifndef GUM_NO_EXTERN_TEMPLATE_CLASS
206# ifndef GUM_NO_EXTERN_TEMPLATE_CLASS
207# ifndef GUM_NO_EXTERN_TEMPLATE_CLASS
208# ifndef GUM_NO_EXTERN_TEMPLATE_CLASS
209# ifndef GUM_NO_EXTERN_TEMPLATE_CLASS
210# ifndef GUM_NO_EXTERN_TEMPLATE_CLASS
211 extern template class LoopySamplingInference< float, GibbsSampling >;
212# endif
213# endif
214# endif
215# endif
216# endif
217# endif
218# endif
219#endif
220#ifndef GUM_NO_EXTERN_TEMPLATE_CLASS
221# ifndef GUM_NO_EXTERN_TEMPLATE_CLASS
222# ifndef GUM_NO_EXTERN_TEMPLATE_CLASS
223# ifndef GUM_NO_EXTERN_TEMPLATE_CLASS
224# ifndef GUM_NO_EXTERN_TEMPLATE_CLASS
225# ifndef GUM_NO_EXTERN_TEMPLATE_CLASS
226# ifndef GUM_NO_EXTERN_TEMPLATE_CLASS
227# ifndef GUM_NO_EXTERN_TEMPLATE_CLASS
228 extern template class LoopySamplingInference< double, GibbsSampling >;
229# endif
230# endif
231# endif
232# endif
233# endif
234# endif
235# endif
236#endif
237
238 template < GUM_Numeric GUM_SCALAR >
239 using HybridMonteCarloSampling = LoopySamplingInference< GUM_SCALAR, MonteCarloSampling >;
240 template < GUM_Numeric GUM_SCALAR >
241 using HybridWeightedSampling = LoopySamplingInference< GUM_SCALAR, WeightedSampling >;
242 template < GUM_Numeric GUM_SCALAR >
243 using HybridImportanceSampling = LoopySamplingInference< GUM_SCALAR, ImportanceSampling >;
244 template < GUM_Numeric GUM_SCALAR >
245 using HybridGibbsSampling = LoopySamplingInference< GUM_SCALAR, GibbsSampling >;
246} // namespace gum
247
248#include <agrum/BN/inference/loopySamplingInference_tpl.h>
249#endif
GibbsSampling.h
This file contains Gibbs sampling class definition.
MonteCarloSampling.h
This file contains Monte Carlo sampling class definition.
gum::IBayesNet
Class representing the minimal interface for Bayesian network with no numerical data.
Definition IBayesNet.h:75
gum::LoopySamplingInference
<agrum/BN/inference/loopySamplingInference.h>
Definition loopySamplingInference.h:76
gum::LoopySamplingInference::makeInference_
void makeInference_() override
makes the inference by generating samples w.r.t the mother class' sampling method after initalizing e...
Definition loopySamplingInference_tpl.h:74
gum::LoopySamplingInference::setVirtualLBPSize
void setVirtualLBPSize(GUM_SCALAR vlbpsize)
Definition loopySamplingInference_tpl.h:87
gum::LoopySamplingInference::LoopySamplingInference
LoopySamplingInference(const IBayesNet< GUM_SCALAR > *bn)
Default constructor.
Definition loopySamplingInference_tpl.h:62
importanceSampling.h
This file contains Importance sampling class definition.
loopySamplingInference_tpl.h
Implements approximate inference algorithms from Loopy Belief Propagation.
gum
gum is the global namespace for all aGrUM entities
Definition agrum.h:46
gum::HybridImportanceSampling
LoopySamplingInference< GUM_SCALAR, ImportanceSampling > HybridImportanceSampling
Definition loopySamplingInference.h:243
gum::HybridMonteCarloSampling
LoopySamplingInference< GUM_SCALAR, MonteCarloSampling > HybridMonteCarloSampling
Definition loopySamplingInference.h:239
gum::HybridGibbsSampling
LoopySamplingInference< GUM_SCALAR, GibbsSampling > HybridGibbsSampling
Definition loopySamplingInference.h:245
gum::HybridWeightedSampling
LoopySamplingInference< GUM_SCALAR, WeightedSampling > HybridWeightedSampling
Definition loopySamplingInference.h:241
weightedSampling.h
This file contains Weighted sampling class definition.
aGrUM 3.1.1

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