aGrUM 2.3.2
a C++ library for (probabilistic) graphical models
scoreAIC_inl.h
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40#pragma once
41
42
48
49#ifndef DOXYGEN_SHOULD_SKIP_THIS
50
51# include <sstream>
52
54
55namespace gum {
56
57 namespace learning {
58
60 INLINE ScoreAIC::ScoreAIC(const DBRowGeneratorParser& parser,
61 const Prior& prior,
62 const std::vector< std::pair< std::size_t, std::size_t > >& ranges,
63 const Bijection< NodeId, std::size_t >& nodeId2columns) :
64 Score(parser, prior, ranges, nodeId2columns),
65 _internal_prior_(parser.database(), nodeId2columns) {
66 GUM_CONSTRUCTOR(ScoreAIC);
67 }
68
70 INLINE ScoreAIC::ScoreAIC(const DBRowGeneratorParser& parser,
71 const Prior& prior,
72 const Bijection< NodeId, std::size_t >& nodeId2columns) :
73 Score(parser, prior, nodeId2columns), _internal_prior_(parser.database(), nodeId2columns) {
74 GUM_CONSTRUCTOR(ScoreAIC);
75 }
76
78 INLINE ScoreAIC::ScoreAIC(const ScoreAIC& from) :
79 Score(from), _internal_prior_(from._internal_prior_) {
80 GUM_CONS_CPY(ScoreAIC);
81 }
82
84 INLINE ScoreAIC::ScoreAIC(ScoreAIC&& from) :
85 Score(std::move(from)), _internal_prior_(std::move(from._internal_prior_)) {
86 GUM_CONS_MOV(ScoreAIC);
87 }
88
90 INLINE ScoreAIC* ScoreAIC::clone() const { return new ScoreAIC(*this); }
91
93 INLINE ScoreAIC::~ScoreAIC() { GUM_DESTRUCTOR(ScoreAIC); }
94
96 INLINE std::string ScoreAIC::isPriorCompatible(const Prior& prior) {
97 return isPriorCompatible(prior.getType(), prior.weight());
98 }
99
101 INLINE std::string ScoreAIC::isPriorCompatible() const {
102 return isPriorCompatible(*(this->prior_));
103 }
104
106 INLINE const Prior& ScoreAIC::internalPrior() const { return _internal_prior_; }
107
108
109 } /* namespace learning */
110
111} /* namespace gum */
112
113#endif /* DOXYGEN_SHOULD_SKIP_THIS */
the class used to read a row in the database and to transform it into a set of DBRow instances that c...
the base class for all a priori
Definition prior.h:83
ScoreAIC(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
The base class for all the scores used for learning (BIC, BDeu, etc).
Definition score.h:68
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 AIC scores