80 ApproximationScheme::operator=(from);
86 ApproximationScheme::operator=(std::move(from));
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()
destructor
GreedyHillClimbing()
default constructor
GreedyHillClimbing & operator=(const GreedyHillClimbing &from)
copy operator
The greedy hill learning algorithm (for directed graphs).
include the inlined functions if necessary
gum is the global namespace for all aGrUM entities