aGrUM 3.2.0
a C++ library for (probabilistic) graphical models
localSearchWithTabuList.cpp
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49
51#ifdef GUM_NO_INLINE
53#endif /* GUM_NO_INLINE */
54
55namespace gum {
56
57 namespace learning {
58
59 // -------------------------------------------------------------------------
60 // Constructors, destructor and assignment operators are defined
61 // out-of-line (not INLINE) on purpose: see the comment in score.cpp for
62 // the MSVC LNK2005 rationale.
63 // -------------------------------------------------------------------------
64
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88
91 = default;
92
95 ApproximationScheme::operator=(std::move(from));
96 _MaxNbDecreasing_ = std::move(from._MaxNbDecreasing_);
97 return *this;
98 }
99
100 } /* namespace learning */
101
102} /* namespace gum */
void disableMaxTime() override
Disable stopping criterion on timeout.
void disableEpsilon() override
Disable stopping criterion on epsilon.
void disableMinEpsilonRate() override
Disable stopping criterion on epsilon rate.
ApproximationScheme(bool verbosity=false)
void disableMaxIter() override
Disable stopping criterion on max iterations.
The local search with tabu list learning algorithm (for directed graphs).
Size _MaxNbDecreasing_
the max number of changes decreasing the score that we allow to apply
LocalSearchWithTabuList & operator=(const LocalSearchWithTabuList &from)
copy operator
The local search learning with tabu list algorithm (for directed graphs).
The local search learning algorithm (for directed graphs).
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.