aGrUM 3.1.1
a C++ library for (probabilistic) graphical models
scoreBDeu.h
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47
48#ifndef GUM_LEARNING_SCORE_BDEU_H
49#define GUM_LEARNING_SCORE_BDEU_H
50
51#include <string>
52
53#include <agrum/agrum.h>
54
58
59namespace gum {
60
61 namespace learning {
62
77 class ScoreBDeu: public Score {
78 public:
79 // ##########################################################################
81 // ##########################################################################
83
85
104 const Prior& prior,
105 const std::vector< std::pair< std::size_t, std::size_t > >& ranges,
106 const Bijection< NodeId, std::size_t >& nodeId2columns
108
109
111
124 const Prior& prior,
125 const Bijection< NodeId, std::size_t >& nodeId2columns
127
129 ScoreBDeu(const ScoreBDeu& from);
130
133
135 [[nodiscard]] ScoreBDeu* clone() const override;
136
138 ~ScoreBDeu() override;
139
141
142
143 // ##########################################################################
145 // ##########################################################################
146
148
151
154
156
157
158 // ##########################################################################
160 // ##########################################################################
162
164
173 std::string isPriorCompatible() const final;
174
176
186 const Prior& internalPrior() const final;
187
189 void setEffectiveSampleSize(double ess);
190
192
193
195
197 static std::string isPriorCompatible(PriorType prior_type, double weight = 1.0f);
198
200
201 static std::string isPriorCompatible(const Prior& prior);
202
203
204 protected:
206
209 double score_(const IdCondSet& idset) final;
210
211
212#ifndef DOXYGEN_SHOULD_SKIP_THIS
213
214 private:
216 BDeuPrior _internal_prior_;
217
219 GammaLog2 _gammalog2_;
220
221#endif /* DOXYGEN_SHOULD_SKIP_THIS */
222 };
223
224 } /* namespace learning */
225
226} /* namespace gum */
227
228// include the inlined functions if necessary
229#ifndef GUM_NO_INLINE
231#endif /* GUM_NO_INLINE */
232
233#endif /* GUM_LEARNING_SCORE_BDEU_H */
the internal prior for the BDeu score (N' / (r_i * q_i)
The class for computing Log2 (Gamma(x)).
Definition gammaLog2.h:68
the internal prior for the BDeu score (N' / (r_i * q_i)
Definition bdeuPrior.h:71
the class used to read a row in the database and to transform it into a set of DBRow instances that c...
A class for storing a pair of sets of NodeIds, the second one corresponding to a conditional set.
Definition idCondSet.h:214
the base class for all a priori
Definition prior.h:81
ScoreBDeu(const ScoreBDeu &from)
copy constructor
double score_(const IdCondSet &idset) final
returns the score for a given IdCondSet
ScoreBDeu * clone() const override
virtual copy constructor
ScoreBDeu(const DBRowGeneratorParser &parser, const Prior &prior, const Bijection< NodeId, std::size_t > &nodeId2columns=Bijection< NodeId, std::size_t >())
default constructor
void setEffectiveSampleSize(double ess)
sets the effective sample size of the internal prior
ScoreBDeu & operator=(ScoreBDeu &&from)
move operator
~ScoreBDeu() override
destructor
std::string isPriorCompatible() const final
indicates whether the prior is compatible (meaningful) with the score
ScoreBDeu & operator=(const ScoreBDeu &from)
copy operator
ScoreBDeu(ScoreBDeu &&from)
move constructor
ScoreBDeu(const DBRowGeneratorParser &parser, const Prior &prior, const std::vector< std::pair< std::size_t, std::size_t > > &ranges, const Bijection< NodeId, std::size_t > &nodeId2columns=Bijection< NodeId, std::size_t >())
default constructor
const Prior & internalPrior() const final
returns the internal prior of the score
const std::vector< std::pair< std::size_t, std::size_t > > & ranges() const
returns the current ranges
Score(const DBRowGeneratorParser &parser, const Prior &external_prior, const std::vector< std::pair< std::size_t, std::size_t > > &ranges, const Bijection< NodeId, std::size_t > &nodeId2columns=Bijection< NodeId, std::size_t >())
default constructor
The class for computing Log2 (Gamma(x)).
include the inlined functions if necessary
Definition CSVParser.h:55
gum is the global namespace for all aGrUM entities
Definition agrum.h:46
STL namespace.
the class for computing BDeu scores
the base class for all the scores used for learning (BIC, BDeu, etc)