aGrUM  0.14.2
aprioriBDeu.h File Reference

the internal apriori for the BDeu score (N' / (r_i * q_i) More...

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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
 gum is the global namespace for all aGrUM entities
 
 gum::learning
 

Detailed Description

the internal apriori for the BDeu score (N' / (r_i * q_i)

Author
Christophe GONZALES and Pierre-Henri WUILLEMIN

Definition in file aprioriBDeu.h.