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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 <vector>
#include <agrum/agrum.h>
#include <agrum/BN/learning/aprioris/aprioriSmoothing.h>
#include <agrum/BN/learning/aprioris/aprioriK2_tpl.h>
Go to the source code of this file.
Classes | |
class | gum::learning::AprioriK2< ALLOC > |
the internal apriori for the K2 score = Laplace AprioriK2 is a BD score with a Laplace apriori (i.e., a smoothing of 1). 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 internal apriori for the K2 score = Laplace Apriori
Definition in file aprioriK2.h.