aGrUM 2.3.2
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 < typename 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 virtual ~LoopySamplingInference();
87
90 virtual void makeInference_();
91
92 void setVirtualLBPSize(GUM_SCALAR vlbpsize) {
93 if (vlbpsize > 0) virtualLBPSize_ = vlbpsize;
94 };
95
96 protected:
97 GUM_SCALAR virtualLBPSize_;
98 };
99
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# ifndef GUM_NO_EXTERN_TEMPLATE_CLASS
107# ifndef GUM_NO_EXTERN_TEMPLATE_CLASS
108 extern template class LoopySamplingInference< float, WeightedSampling >;
109# endif
110# endif
111# endif
112# endif
113# endif
114# endif
115# endif
116#endif
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# ifndef GUM_NO_EXTERN_TEMPLATE_CLASS
124# ifndef GUM_NO_EXTERN_TEMPLATE_CLASS
125 extern template class LoopySamplingInference< double, WeightedSampling >;
126# endif
127# endif
128# endif
129# endif
130# endif
131# endif
132# endif
133#endif
134
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# ifndef GUM_NO_EXTERN_TEMPLATE_CLASS
142# ifndef GUM_NO_EXTERN_TEMPLATE_CLASS
143 extern template class LoopySamplingInference< float, ImportanceSampling >;
144# endif
145# endif
146# endif
147# endif
148# endif
149# endif
150# endif
151#endif
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# ifndef GUM_NO_EXTERN_TEMPLATE_CLASS
159# ifndef GUM_NO_EXTERN_TEMPLATE_CLASS
160 extern template class LoopySamplingInference< double, ImportanceSampling >;
161# endif
162# endif
163# endif
164# endif
165# endif
166# endif
167# endif
168#endif
169
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# ifndef GUM_NO_EXTERN_TEMPLATE_CLASS
177# ifndef GUM_NO_EXTERN_TEMPLATE_CLASS
178 extern template class LoopySamplingInference< float, MonteCarloSampling >;
179# endif
180# endif
181# endif
182# endif
183# endif
184# endif
185# endif
186#endif
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# ifndef GUM_NO_EXTERN_TEMPLATE_CLASS
194# ifndef GUM_NO_EXTERN_TEMPLATE_CLASS
195 extern template class LoopySamplingInference< double, MonteCarloSampling >;
196# endif
197# endif
198# endif
199# endif
200# endif
201# endif
202# endif
203#endif
204
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# ifndef GUM_NO_EXTERN_TEMPLATE_CLASS
212# ifndef GUM_NO_EXTERN_TEMPLATE_CLASS
213 extern template class LoopySamplingInference< float, GibbsSampling >;
214# endif
215# endif
216# endif
217# endif
218# endif
219# endif
220# endif
221#endif
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# ifndef GUM_NO_EXTERN_TEMPLATE_CLASS
229# ifndef GUM_NO_EXTERN_TEMPLATE_CLASS
230 extern template class LoopySamplingInference< double, GibbsSampling >;
231# endif
232# endif
233# endif
234# endif
235# endif
236# endif
237# endif
238#endif
239
240 template < typename GUM_SCALAR >
241 using HybridMonteCarloSampling = LoopySamplingInference< GUM_SCALAR, MonteCarloSampling >;
242 template < typename GUM_SCALAR >
243 using HybridWeightedSampling = LoopySamplingInference< GUM_SCALAR, WeightedSampling >;
244 template < typename GUM_SCALAR >
245 using HybridImportanceSampling = LoopySamplingInference< GUM_SCALAR, ImportanceSampling >;
246 template < typename GUM_SCALAR >
247 using HybridGibbsSampling = LoopySamplingInference< GUM_SCALAR, GibbsSampling >;
248} // namespace gum
249
250#include <agrum/BN/inference/loopySamplingInference_tpl.h>
251#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_
virtual void makeInference_()
makes the inference by generating samples w.r.t the mother class' sampling method after initalizing e...
Definition loopySamplingInference_tpl.h:73
gum::LoopySamplingInference::setVirtualLBPSize
void setVirtualLBPSize(GUM_SCALAR vlbpsize)
Definition loopySamplingInference.h:92
gum::LoopySamplingInference::LoopySamplingInference
LoopySamplingInference(const IBayesNet< GUM_SCALAR > *bn)
Default constructor.
Definition loopySamplingInference_tpl.h:61
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:245
gum::HybridMonteCarloSampling
LoopySamplingInference< GUM_SCALAR, MonteCarloSampling > HybridMonteCarloSampling
Definition loopySamplingInference.h:241
gum::HybridGibbsSampling
LoopySamplingInference< GUM_SCALAR, GibbsSampling > HybridGibbsSampling
Definition loopySamplingInference.h:247
gum::HybridWeightedSampling
LoopySamplingInference< GUM_SCALAR, WeightedSampling > HybridWeightedSampling
Definition loopySamplingInference.h:243
weightedSampling.h
This file contains Weighted sampling class definition.
aGrUM 2.3.2

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