aGrUM  0.14.2
loopySamplingInference.h
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29 #ifndef GUM_LOOPY_INFERENCE_H
30 #define GUM_LOOPY_INFERENCE_H
31 #include <agrum/BN/inference/GibbsSampling.h>
32 #include <agrum/BN/inference/MonteCarloSampling.h>
33 #include <agrum/BN/inference/importanceSampling.h>
34 #include <agrum/BN/inference/tools/approximateInference.h>
35 #include <agrum/BN/inference/tools/marginalTargetedInference.h>
36 #include <agrum/BN/inference/weightedSampling.h>
37 
38 namespace gum {
39 
55  template < typename GUM_SCALAR, template < typename > class APPROX >
56  class LoopySamplingInference : public APPROX< GUM_SCALAR > {
57  public:
61  explicit LoopySamplingInference(const IBayesNet< GUM_SCALAR >* bn);
62 
66  virtual ~LoopySamplingInference();
67 
70  virtual void _makeInference();
71 
72  void setVirtualLBPSize(GUM_SCALAR vlbpsize) {
73  if (vlbpsize > 0) _virtualLBPSize = vlbpsize;
74  };
75 
76  protected:
77  GUM_SCALAR _virtualLBPSize;
78  };
79 
80 #ifndef GUM_NO_EXTERN_TEMPLATE_CLASS
81 # ifndef GUM_NO_EXTERN_TEMPLATE_CLASS
82 # ifndef GUM_NO_EXTERN_TEMPLATE_CLASS
83 # ifndef GUM_NO_EXTERN_TEMPLATE_CLASS
84 # ifndef GUM_NO_EXTERN_TEMPLATE_CLASS
85 # ifndef GUM_NO_EXTERN_TEMPLATE_CLASS
86 # ifndef GUM_NO_EXTERN_TEMPLATE_CLASS
87 # ifndef GUM_NO_EXTERN_TEMPLATE_CLASS
88  extern template class LoopySamplingInference< float, WeightedSampling >;
89 # endif
90 # endif
91 # endif
92 # endif
93 # endif
94 # endif
95 # endif
96 #endif
97 #ifndef GUM_NO_EXTERN_TEMPLATE_CLASS
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  extern template class LoopySamplingInference< double, WeightedSampling >;
106 # endif
107 # endif
108 # endif
109 # endif
110 # endif
111 # endif
112 # endif
113 #endif
114 
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< float, ImportanceSampling >;
124 # endif
125 # endif
126 # endif
127 # endif
128 # endif
129 # endif
130 # endif
131 #endif
132 #ifndef GUM_NO_EXTERN_TEMPLATE_CLASS
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  extern template class LoopySamplingInference< double, ImportanceSampling >;
141 # endif
142 # endif
143 # endif
144 # endif
145 # endif
146 # endif
147 # endif
148 #endif
149 
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< float, MonteCarloSampling >;
159 # endif
160 # endif
161 # endif
162 # endif
163 # endif
164 # endif
165 # endif
166 #endif
167 #ifndef GUM_NO_EXTERN_TEMPLATE_CLASS
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  extern template class LoopySamplingInference< double, MonteCarloSampling >;
176 # endif
177 # endif
178 # endif
179 # endif
180 # endif
181 # endif
182 # endif
183 #endif
184 
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< float, GibbsSampling >;
194 # endif
195 # endif
196 # endif
197 # endif
198 # endif
199 # endif
200 # endif
201 #endif
202 #ifndef GUM_NO_EXTERN_TEMPLATE_CLASS
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  extern template class LoopySamplingInference< double, GibbsSampling >;
211 # endif
212 # endif
213 # endif
214 # endif
215 # endif
216 # endif
217 # endif
218 #endif
219 
220  template < typename GUM_SCALAR >
221  using HybridMonteCarloSampling =
222  LoopySamplingInference< GUM_SCALAR, MonteCarloSampling >;
223  template < typename GUM_SCALAR >
224  using HybridWeightedSampling =
225  LoopySamplingInference< GUM_SCALAR, WeightedSampling >;
226  template < typename GUM_SCALAR >
227  using HybridImportanceSampling =
228  LoopySamplingInference< GUM_SCALAR, ImportanceSampling >;
229  template < typename GUM_SCALAR >
230  using HybridGibbsSampling = LoopySamplingInference< GUM_SCALAR, GibbsSampling >;
231 } // namespace gum
232 
233 #include <agrum/BN/inference/loopySamplingInference_tpl.h>
234 #endif
approximateInference.h
This file contains general methods for approximate inference.
MonteCarloSampling.h
This file contains Monte Carlo sampling class definition.
gum::IBayesNet
Class representing the minimal interface for Bayesian Network.
Definition: IBayesNet.h:59
gum
gum is the global namespace for all aGrUM entities
Definition: agrum.h:25
marginalTargetedInference.h
This file contains the abstract inference class definition for computing (incrementally) marginal pos...
weightedSampling.h
This file contains Weighted sampling class definition.
gum::LoopySamplingInference::~LoopySamplingInference
virtual ~LoopySamplingInference()
destructor
Definition: loopySamplingInference_tpl.h:47
importanceSampling.h
This file contains Importance sampling class definition.
GibbsSampling.h
This file contains Gibbs sampling class definition.
gum::LoopySamplingInference::_makeInference
virtual void _makeInference()
makes the inference by generating samples w.r.t the mother class&#39; sampling method after initalizing e...
Definition: loopySamplingInference_tpl.h:53
gum::LoopySamplingInference::LoopySamplingInference
LoopySamplingInference(const IBayesNet< GUM_SCALAR > *bn)
Default constructor.
Definition: loopySamplingInference_tpl.h:38
gum::LoopySamplingInference
<agrum/BN/inference/loopySamplingInference.h>
Definition: loopySamplingInference.h:56
gum::LoopySamplingInference::setVirtualLBPSize
void setVirtualLBPSize(GUM_SCALAR vlbpsize)
Definition: loopySamplingInference.h:72
loopySamplingInference_tpl.h
Implements approximate inference algorithms from Loopy Belief Propagation.
aGrUM 0.14.2
Thu Feb 28 2019 14:11:07
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