aGrUM 2.3.2
a C++ library for (probabilistic) graphical models
scoreK2.h
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40
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50
51#ifndef GUM_LEARNING_SCORE_K2_H
52#define GUM_LEARNING_SCORE_K2_H
53
54#include <string>
55
56#include <agrum/agrum.h>
57
60
62
63namespace gum {
64
65 namespace learning {
66
80 class ScoreK2: public Score {
81 public:
82 // ##########################################################################
84 // ##########################################################################
86
88
107 const Prior& prior,
108 const std::vector< std::pair< std::size_t, std::size_t > >& ranges,
109 const Bijection< NodeId, std::size_t >& nodeId2columns
111
112
114
127 const Prior& prior,
128 const Bijection< NodeId, std::size_t >& nodeId2columns
130
132 ScoreK2(const ScoreK2& from);
133
136
138 virtual ScoreK2* clone() const;
139
141 virtual ~ScoreK2();
142
144
145
146 // ##########################################################################
148 // ##########################################################################
149
151
153 ScoreK2& operator=(const ScoreK2& from);
154
157
159
160
161 // ##########################################################################
163 // ##########################################################################
165
167
176 virtual std::string isPriorCompatible() const final;
177
179
189 virtual const Prior& internalPrior() const final;
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 virtual double score_(const IdCondSet& idset) final;
210
211
212#ifndef DOXYGEN_SHOULD_SKIP_THIS
213
214 private:
216 K2Prior _internal_prior_;
217
219 GammaLog2 _gammalog2_;
220
221
222#endif /* DOXYGEN_SHOULD_SKIP_THIS */
223 };
224
225 } /* namespace learning */
226
227} /* namespace gum */
228
230#ifndef GUM_NO_INLINE
232#endif /* GUM_NO_INLINE */
233
234#endif /* GUM_LEARNING_SCORE_K2_H */
the internal prior for the K2 score = Laplace Prior
The class for computing Log2 (Gamma(x)).
Definition gammaLog2.h:68
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 internal prior for the K2 score = Laplace Prior
Definition K2Prior.h:71
the base class for all a priori
Definition prior.h:83
virtual std::string isPriorCompatible() const final
indicates whether the prior is compatible (meaningful) with the score
ScoreK2(const ScoreK2 &from)
copy constructor
ScoreK2(const DBRowGeneratorParser &parser, const Prior &prior, const Bijection< NodeId, std::size_t > &nodeId2columns=Bijection< NodeId, std::size_t >())
default constructor
ScoreK2 & operator=(ScoreK2 &&from)
move operator
ScoreK2(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
ScoreK2(ScoreK2 &&from)
move constructor
virtual const Prior & internalPrior() const final
returns the internal prior of the score
virtual double score_(const IdCondSet &idset) final
returns the score for a given IdCondSet
ScoreK2 & operator=(const ScoreK2 &from)
copy operator
virtual ~ScoreK2()
destructor
virtual ScoreK2 * clone() const
virtual copy constructor
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:54
gum is the global namespace for all aGrUM entities
Definition agrum.h:46
STL namespace.
the class for computing K2 scores
the base class for all the scores used for learning (BIC, BDeu, etc)