aGrUM 2.3.2
a C++ library for (probabilistic) graphical models
indepTestChi2.h
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47
48#ifndef GUM_LEARNING_INDEP_TEST_CHI2_H
49#define GUM_LEARNING_INDEP_TEST_CHI2_H
50
51#include <vector>
52
56
57namespace gum {
58
59 namespace learning {
60
67 public:
68 // ##########################################################################
70 // ##########################################################################
72
74
95 const Prior& external_prior,
96 const std::vector< std::pair< std::size_t, std::size_t > >& ranges,
97 const Bijection< NodeId, std::size_t >& nodeId2columns
99
100
102
115 const Prior& prior,
116 const Bijection< NodeId, std::size_t >& nodeId2columns
118
121
124
126 virtual IndepTestChi2* clone() const;
127
129 virtual ~IndepTestChi2();
130
132
133
134 // ##########################################################################
136 // ##########################################################################
137
139
142
145
147
148 // ##########################################################################
150 // ##########################################################################
151
153
156 std::pair< double, double >
157 statistics(NodeId var1, NodeId var2, const std::vector< NodeId >& rhs_ids = {});
158
160
161
162 protected:
164
167 virtual double score_(const IdCondSet& idset) final;
168
170 std::pair< double, double > statistics_(const IdCondSet& idset);
171
172#ifndef DOXYGEN_SHOULD_SKIP_THIS
173
174 private:
176 std::vector< std::size_t > _domain_sizes_;
177
179 Chi2 _chi2_;
180
182 const std::vector< Idx > _empty_set_;
183
184#endif /* DOXYGEN_SHOULD_SKIP_THIS */
185 };
186
187 } /* namespace learning */
188
189} /* namespace gum */
190
191// include the inlined functions if necessary
192#ifndef GUM_NO_INLINE
194#endif /* GUM_NO_INLINE */
195
196#endif /* GUM_LEARNING_INDEP_TEST_CHI2_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
IndepTestChi2 & operator=(IndepTestChi2 &&from)
move operator
IndepTestChi2 & operator=(const IndepTestChi2 &from)
copy operator
std::pair< double, double > statistics_(const IdCondSet &idset)
compute the pair <chi2 statistic,pvalue>
virtual ~IndepTestChi2()
destructor
virtual IndepTestChi2 * clone() const
virtual copy constructor
IndepTestChi2(IndepTestChi2 &&from)
move constructor
virtual double score_(const IdCondSet &idset) final
returns the score for a given IdCondSet
IndepTestChi2(const IndepTestChi2 &from)
copy constructor
IndepTestChi2(const DBRowGeneratorParser &parser, const Prior &prior, const Bijection< NodeId, std::size_t > &nodeId2columns=Bijection< NodeId, std::size_t >())
default constructor
IndepTestChi2(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 <chi2 statistic,pvalue> for a test var1 indep var2 given rhs_ids
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 Chi2 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