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aGrUM 2.3.2
a C++ library for (probabilistic) graphical models
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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>Go to the source code of this file.
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 | |
A class for generic framework of learning algorithms that can easily be used.
The pack currently contains K2, GreedyHillClimbing, miic and LocalSearchWithTabuList
Definition in file IBNLearner.h.