50#ifndef DOXYGEN_SHOULD_SKIP_THIS
63 if ((noise < 0.0) || (noise > 1.0))
64 GUM_ERROR(OutOfBounds,
"EM's noise must belong to interval [0,1]");
A class that, given a structure and a parameter estimator returns a full Bayes net.
A class that, given a structure and a parameter estimator returns a full Bayes net.
EMApproximationScheme & approximationScheme()
returns the approximation policy of the EM learning algorithm
DAG2BNLearner & setNoise(const double noise)
sets the noise amount used to perturb the initial CPTs used by EM
A class for parameterizing EM's parameter learning approximations.
#define GUM_ERROR(type, msg)
include the inlined functions if necessary
gum is the global namespace for all aGrUM entities