aGrUM 3.2.0
a C++ library for (probabilistic) graphical models
K2.cpp
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40
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49
51#ifdef GUM_NO_INLINE
53#endif /* GUM_NO_INLINE */
54
55namespace gum {
56
57 namespace learning {
58
59 // Out-of-line on purpose (not INLINE, see K2_inl.h): under MSVC,
60 // dllexport on a class forces eager, non-weak emission of every
61 // inline-defined special member in *every* TU that includes the header --
62 // colliding (LNK2005) with a leaf .pyd's own local reinstantiation of a
63 // template that uses this class (GUM_NO_EXTERN_TEMPLATE_CLASS).
64
66 K2::K2() { GUM_CONSTRUCTOR(K2); }
67
69 K2::K2(const K2& from) : GreedyHillClimbing(from), _order_(from._order_) { GUM_CONS_CPY(K2); }
70
72 K2::K2(K2&& from) : GreedyHillClimbing(std::move(from)), _order_(std::move(from._order_)) {
73 GUM_CONS_MOV(K2);
74 }
75
77 K2::~K2() { GUM_DESTRUCTOR(K2); }
78
80 K2& K2::operator=(const K2& from) {
81 if (this != &from) {
83 _order_ = from._order_;
84 }
85 return *this;
86 }
87
89 K2& K2::operator=(K2&& from) {
90 if (this != &from) {
91 GreedyHillClimbing::operator=(std::move(from));
92 _order_ = std::move(from._order_);
93 }
94 return *this;
95 }
96
97 } /* namespace learning */
98
99} /* namespace gum */
The K2 algorithm.
The K2 algorithm.
GreedyHillClimbing & operator=(const GreedyHillClimbing &from)
copy operator
~K2() override
destructor
Definition K2.cpp:77
Sequence< NodeId > _order_
the order on the variable used for learning
Definition K2.h:132
K2()
default constructor
Definition K2.cpp:66
K2 & operator=(const K2 &from)
copy operator
Definition K2.cpp:80
include the inlined functions if necessary
Definition CSVParser.h:55
gum is the global namespace for all aGrUM entities
Definition agrum.h:46
STL namespace.