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aGrUM
0.16.0
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Copyright 2005-2019 Pierre-Henri WUILLEMIN et Christophe GONZALES (LIP6) {prenom.nom}_at_lip6.fr. More...
#include <sstream>
#include <algorithm>
#include <vector>
#include <agrum/BN/BayesNet.h>
#include <agrum/agrum.h>
#include <agrum/core/bijection.h>
#include <agrum/core/sequence.h>
#include <agrum/graphs/DAG.h>
#include <agrum/learning/BNLearnUtils/genericBNLearner.h>
#include <agrum/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 | |
gum | |
Copyright 2005-2019 Pierre-Henri WUILLEMIN et Christophe GONZALES (LIP6) {prenom.nom}_at_lip6.fr. | |
gum::learning | |
Copyright 2005-2019 Pierre-Henri WUILLEMIN et Christophe GONZALES (LIP6) {prenom.nom}_at_lip6.fr.
This library is free software: you can redistribute it and/or modify it under the terms of the GNU Lesser General Public License as published by the Free Software Foundation, either version 3 of the License, or (at your option) any later version.
This library is distributed in the hope that it will be useful, but WITHOUT ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU Lesser General Public License for more details.
You should have received a copy of the GNU Lesser General Public License along with this library. If not, see http://www.gnu.org/licenses/. A basic pack of learning algorithms that can easily be used
The pack currently contains K2, GreedyHillClimbing and LocalSearchWithTabuList
Definition in file BNLearner.h.