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aGrUM 2.3.2
a C++ library for (probabilistic) graphical models
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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>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. | |
A basic pack of learning algorithms that can easily be used.
The pack currently contains K2, GreedyHillClimbing and LocalSearchWithTabuList
Definition in file BNLearner.h.