aGrUM 2.3.2
a C++ library for (probabilistic) graphical models
greedyHillClimbing.cpp
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50namespace gum {
51
52 namespace learning {
53
62
68
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77
80 ApproximationScheme::operator=(from);
81 return *this;
82 }
83
86 ApproximationScheme::operator=(std::move(from));
87 return *this;
88 }
89
92
93 } /* namespace learning */
94
95} /* namespace gum */
void disableMaxTime() override
Disable stopping criterion on timeout.
void disableMinEpsilonRate() override
Disable stopping criterion on epsilon rate.
ApproximationScheme(bool verbosity=false)
void disableMaxIter() override
Disable stopping criterion on max iterations.
void setEpsilon(double eps) override
Given that we approximate f(t), stopping criterion on |f(t+1)-f(t)|.
ApproximationScheme & approximationScheme()
returns the approximation policy of the learning algorithm
GreedyHillClimbing & operator=(const GreedyHillClimbing &from)
copy operator
The greedy hill learning algorithm (for directed graphs).
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.