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

A class for generic framework of learning algorithms that can easily be used. More...

#include <memory>
#include <sstream>
#include <agrum/agrum.h>
#include <agrum/base/database/DBInitializerFromCSV.h>
#include <agrum/base/database/DBRowGenerator4CompleteRows.h>
#include <agrum/base/database/DBRowGeneratorEM.h>
#include <agrum/BN/algorithms/essentialGraph.h>
#include <agrum/BN/learning/constraints/structuralConstraintDAG.h>
#include <agrum/BN/learning/constraints/structuralConstraintForbiddenArcs.h>
#include <agrum/BN/learning/constraints/structuralConstraintIndegree.h>
#include <agrum/BN/learning/constraints/structuralConstraintMandatoryArcs.h>
#include <agrum/BN/learning/constraints/structuralConstraintNoChildrenNodes.h>
#include <agrum/BN/learning/constraints/structuralConstraintNoParentNodes.h>
#include <agrum/BN/learning/constraints/structuralConstraintPossibleEdges.h>
#include <agrum/BN/learning/constraints/structuralConstraintSliceOrder.h>
#include <agrum/BN/learning/constraints/structuralConstraintTabuList.h>
#include <agrum/BN/learning/K2.h>
#include <agrum/BN/learning/localSearchWithTabuList.h>
#include <agrum/BN/learning/paramUtils/DAG2BNLearner.h>
#include <agrum/BN/learning/paramUtils/paramEstimatorML.h>
#include <agrum/BN/learning/priors/DirichletPriorFromDatabase.h>
#include <agrum/BN/learning/SimpleMiic.h>
#include <agrum/BN/learning/structureUtils/graphChangesGenerator4DiGraph.h>
#include <agrum/BN/learning/structureUtils/graphChangesGenerator4K2.h>
#include <agrum/BN/learning/structureUtils/graphChangesSelector4DiGraph.h>
#include <agrum/BN/learning/scores_and_tests/scoreAIC.h>
#include <agrum/BN/learning/scores_and_tests/scoreBD.h>
#include <agrum/BN/learning/scores_and_tests/scoreBDeu.h>
#include <agrum/BN/learning/scores_and_tests/scoreK2.h>
#include <agrum/BN/learning/BNLearnUtils/IBNLearner_inl.h>
#include <agrum/BN/learning/BNLearnUtils/IBNLearner_tpl.h>
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Classes

class  gum::learning::IBNLearner
 A pack of learning algorithms that can easily be used. More...
class  gum::learning::IBNLearner::Database
 a helper to easily read databases More...

Namespaces

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

Detailed Description

A class for generic framework of learning algorithms that can easily be used.

The pack currently contains K2, GreedyHillClimbing, miic and LocalSearchWithTabuList

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

Definition in file IBNLearner.h.