aGrUM 3.1.1
a C++ library for (probabilistic) graphical models
indepTestChi2.h
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40
41
47
48#ifndef GUM_LEARNING_INDEP_TEST_CHI2_H
49#define GUM_LEARNING_INDEP_TEST_CHI2_H
50
53
54namespace gum {
55
56 namespace learning {
57
64 public:
65 // ##########################################################################
67 // ##########################################################################
69
71
92 const Prior& external_prior,
93 const std::vector< std::pair< std::size_t, std::size_t > >& ranges,
94 const Bijection< NodeId, std::size_t >& nodeId2columns
96
97
99
112 const Prior& prior,
113 const Bijection< NodeId, std::size_t >& nodeId2columns
115
118
120 IndepTestChi2(IndepTestChi2&& from) noexcept;
121
123 [[nodiscard]] IndepTestChi2* clone() const override;
124
126 ~IndepTestChi2() override;
127
129
130
131 // ##########################################################################
133 // ##########################################################################
134
136
139
142
144
145 // ##########################################################################
147 // ##########################################################################
148
150
153 std::pair< double, double >
154 statistics(NodeId var1, NodeId var2, const std::vector< NodeId >& rhs_ids = {}) override;
155
157
158
159 protected:
161 std::pair< double, double > statistics_(const IdCondSet& idset);
162
163#ifndef DOXYGEN_SHOULD_SKIP_THIS
164#endif /* DOXYGEN_SHOULD_SKIP_THIS */
165 };
166
167 } /* namespace learning */
168
169} /* namespace gum */
170
171// include the inlined functions if necessary
172#ifndef GUM_NO_INLINE
174#endif /* GUM_NO_INLINE */
175
176#endif /* GUM_LEARNING_INDEP_TEST_CHI2_H */
const std::vector< std::pair< std::size_t, std::size_t > > & ranges() const
returns the current ranges
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=(const IndepTestChi2 &from)
copy operator
std::pair< double, double > statistics_(const IdCondSet &idset)
compute the pair <chi2 statistic,pvalue>
~IndepTestChi2() override
destructor
IndepTestChi2(IndepTestChi2 &&from) noexcept
move constructor
IndepTestChi2(const IndepTestChi2 &from)
copy constructor
std::pair< double, double > statistics(NodeId var1, NodeId var2, const std::vector< NodeId > &rhs_ids={}) override
get the pair <chi2 statistic,pvalue> for a test var1 indep var2 given rhs_ids
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
IndepTestChi2 & operator=(IndepTestChi2 &&from) noexcept
move operator
IndepTestChi2 * clone() const override
virtual copy constructor
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
the base class for all a priori
Definition prior.h:81
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:55
gum is the global namespace for all aGrUM entities
Definition agrum.h:46
the no a priorclass: corresponds to 0 weight-sample