aGrUM 2.3.2
a C++ library for (probabilistic) graphical models
indepTestG2.h
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47
48#ifndef GUM_LEARNING_INDEP_TEST_G2_H
49#define GUM_LEARNING_INDEP_TEST_G2_H
50
54
55namespace gum {
56
57 namespace learning {
58
65 // clang-format on
66
68 public:
69 // ##########################################################################
71 // ##########################################################################
73
75
96 const Prior& external_prior,
97 const std::vector< std::pair< std::size_t, std::size_t > >& ranges,
98 const Bijection< NodeId, std::size_t >& nodeId2columns
100
101
103
116 const Prior& prior,
117 const Bijection< NodeId, std::size_t >& nodeId2columns
119
122
125
127 virtual IndepTestG2* clone() const;
128
130 virtual ~IndepTestG2();
131
133
134
135 // ##########################################################################
137 // ##########################################################################
138
140
143
146
149 std::pair< double, double >
150 statistics(NodeId var1, NodeId var2, const std::vector< NodeId >& rhs_ids = {});
151
153
154
155 protected:
157
160 virtual double score_(const IdCondSet& idset) final;
161
163 std::pair< double, double > statistics_(const IdCondSet& idset);
164
165#ifndef DOXYGEN_SHOULD_SKIP_THIS
166
167 private:
169 std::vector< std::size_t > _domain_sizes_;
170
172 Chi2 _chi2_;
173
175 const std::vector< Idx > _empty_set_;
176
177#endif /* DOXYGEN_SHOULD_SKIP_THIS */
178 };
179
180 } /* namespace learning */
181
182} /* namespace gum */
183
184// include the inlined functions if necessary
185#ifndef GUM_NO_INLINE
187#endif /* GUM_NO_INLINE */
188
189#endif /* GUM_LEARNING_INDEP_TEST_G2_H */
The class that represents the chi2 distribution.
Represent the chi2 distribution.
Definition chi2.h:79
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
IndepTestG2(const IndepTestG2 &from)
copy constructor
IndepTestG2(IndepTestG2 &&from)
move constructor
IndepTestG2(const DBRowGeneratorParser &parser, const Prior &prior, const Bijection< NodeId, std::size_t > &nodeId2columns=Bijection< NodeId, std::size_t >())
default constructor
IndepTestG2 & operator=(const IndepTestG2 &from)
copy operator
IndepTestG2 & operator=(IndepTestG2 &&from)
move operator
IndepTestG2(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
std::pair< double, double > statistics(NodeId var1, NodeId var2, const std::vector< NodeId > &rhs_ids={})
get the pair <G2statistic,pvalue> for a test var1 indep var2 given rhs_ids
virtual double score_(const IdCondSet &idset) final
returns the score for a given IdCondSet
virtual IndepTestG2 * clone() const
virtual copy constructor
virtual ~IndepTestG2()
destructor
std::pair< double, double > statistics_(const IdCondSet &idset)
compute the pair <G2 statistic,pvalue>
IndependenceTest(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
const std::vector< std::pair< std::size_t, std::size_t > > & ranges() const
returns the current ranges
the base class for all a priori
Definition prior.h:83
Size NodeId
Type for node ids.
the class for computing G2 scores
the base class for all the independence tests used for learning
include the inlined functions if necessary
Definition CSVParser.h:54
gum is the global namespace for all aGrUM entities
Definition agrum.h:46
the no a priorclass: corresponds to 0 weight-sample