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aGrUM
0.14.2
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the internal apriori for the BDeu score (N' / (r_i * q_i) More...
#include <vector>
#include <agrum/agrum.h>
#include <agrum/learning/aprioris/apriori.h>
#include <agrum/learning/aprioris/aprioriBDeu_tpl.h>
Go to the source code of this file.
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 | |
gum is the global namespace for all aGrUM entities | |
gum::learning | |
the internal apriori for the BDeu score (N' / (r_i * q_i)
Definition in file aprioriBDeu.h.