variableLog2ParamComplexity.h File Reference

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

#include <cstddef>
#include <string>
#include <fstream>
#include <agrum/agrum.h>
#include <agrum/core/math/math.h>
#include <agrum/core/hashTable.h>
#include <agrum/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
	gum is the global namespace for all aGrUM entities

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

Detailed Description

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.