aGrUM 2.3.2
a C++ library for (probabilistic) graphical models
BNLearner.h File Reference

A basic pack of learning algorithms that can easily be used. More...

#include <algorithm>
#include <sstream>
#include <vector>
#include <agrum/agrum.h>
#include <agrum/BN/learning/BNLearnUtils/IBNLearner.h>
#include <agrum/BN/learning/priors/DirichletPriorFromBN.h>
#include <agrum/BN/learning/BNLearner_tpl.h>
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Go to the source code of this file.

Classes

class  gum::learning::BNLearner< GUM_SCALAR >
 A pack of learning algorithms that can easily be used. More...

Namespaces

namespace  gum
 gum is the global namespace for all aGrUM entities
namespace  gum::learning
 include the inlined functions if necessary

Functions

template<typename GUM_SCALAR>
std::ostream & gum::learning::operator<< (std::ostream &output, const BNLearner< GUM_SCALAR > &learner)
 Prints BNLearner's current features.

Detailed Description

A basic pack of learning algorithms that can easily be used.

The pack currently contains K2, GreedyHillClimbing and LocalSearchWithTabuList

Author
Christophe GONZALES(_at_AMU) and Pierre-Henri WUILLEMIN(_at_LIP6)

Definition in file BNLearner.h.