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aGrUM
0.20.3
a C++ library for (probabilistic) graphical models
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Copyright (c) 2005-2021 by Pierre-Henri WUILLEMIN() & Christophe GONZALES() info_at_agrum_dot_org. More...
#include <string>
#include <vector>
#include <agrum/BN/BayesNet.h>
#include <agrum/agrum.h>
#include <agrum/tools/core/approximations/approximationScheme.h>
#include <agrum/tools/graphs/DAG.h>
#include <agrum/BN/learning/greedyHillClimbing_tpl.h>
Go to the source code of this file.
Classes | |
class | gum::learning::GreedyHillClimbing |
The greedy hill climbing learning algorithm (for directed graphs) More... | |
Namespaces | |
gum | |
Copyright (c) 2005-2021 by Pierre-Henri WUILLEMIN() & Christophe GONZALES() info_at_agrum_dot_org. | |
gum::learning | |
Copyright (c) 2005-2021 by Pierre-Henri WUILLEMIN() & Christophe GONZALES() info_at_agrum_dot_org.
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/.
The greedy hill learning algorithm (for directed graphs)
The GreedyHillClimbing class implements a greedy search in which the only the graph changes that increase the global score are applied. Those that increase it the more are applied first. The algorithm stops when no single change can increase the score anymore.
Definition in file greedyHillClimbing.h.