aGrUM  0.20.3
a C++ library for (probabilistic) graphical models
variableLog2ParamComplexity.h File Reference

Copyright (c) 2005-2021 by Pierre-Henri WUILLEMIN() & Christophe GONZALES() info_at_agrum_dot_org. More...

#include <cstddef>
#include <string>
#include <fstream>
#include <agrum/agrum.h>
#include <agrum/tools/core/math/math_utils.h>
#include <agrum/tools/core/hashTable.h>
#include <agrum/tools/core/math/variableLog2ParamComplexity_tpl.h>
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Classes

class  gum::VariableLog2ParamComplexity< ALLOC >
 the class for computing the log2 of the parametric complexity of an r-ary multinomial variableThis class enables to compute the log in base 2 of the parametric complexity of a single r-ary multinomial variable, i.e., the log in base 2 of the C_N^r term used by NML scores in Bayesian network structure learning algorithm (see, e.g., Silander, Roos, Kontkanen and Myllymaki (2007) "Factorized Normalized Maximum " Likelihood Criterion for Learning Bayesian network Structures)" More...
 

Namespaces

 gum
 Copyright (c) 2005-2021 by Pierre-Henri WUILLEMIN() & Christophe GONZALES() info_at_agrum_dot_org.
 

Variables

constexpr std::size_t gum::VariableLog2ParamComplexityCTableRSize {std::size_t(4)}
 
constexpr std::size_t gum::VariableLog2ParamComplexityCTableNSize {std::size_t(1000)}
 

Detailed Description

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 class for computing the log2 of the parametric complexity of an r-ary multinomial variable

Author
Christophe GONZALES() and Pierre-Henri WUILLEMIN()

Definition in file variableLog2ParamComplexity.h.