aGrUM  0.20.3
a C++ library for (probabilistic) graphical models
Parameters utilities
+ Collaboration diagram for Parameters utilities:

Detailed Description

Classes

class  gum::learning::DAG2BNLearner< ALLOC >
 A class that, given a structure and a parameter estimator returns a full Bayes net. More...
 
class  gum::learning::ParamEstimator< ALLOC >
 The base class for estimating parameters of CPTs. More...
 
class  gum::learning::ParamEstimatorML< ALLOC >
 The class for estimating parameters of CPTs using Maximum Likelihood. More...