#include <vector>
#include <agrum/agrum.h>
#include <agrum/learning/aprioris/apriori.h>
#include <agrum/learning/aprioris/aprioriBDeu_tpl.h>

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Classes
class	gum::learning::AprioriBDeu< ALLOC >
	the internal apriori for the BDeu score (N' / (r_i * q_i)BDeu is a BD score with a N'/(r_i * q_i) apriori, where N' is an effective sample size and r_i is the domain size of the target variable and q_i is the domain size of the Cartesian product of its parents. More...

Namespaces
	gum
	Copyright 2005-2019 Pierre-Henri WUILLEMIN et Christophe GONZALES (LIP6) {prenom.nom}_at_lip6.fr.

	gum::learning

Detailed Description

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 BDeu score (N' / (r_i * q_i)

Author: Christophe GONZALES and Pierre-Henri WUILLEMIN

Definition in file aprioriBDeu.h.

Classes

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Detailed Description