aGrUM 2.3.2
a C++ library for (probabilistic) graphical models
scores_and_tests Directory Reference
Directory dependency graph for scores_and_tests:

Files

 
score.cpp
 Implementation of gum::learning::Score.
 
score.h
 the base class for all the scores used for learning (BIC, BDeu, etc)
 
score_inl.h
 the base class for all the scores used for learning (BIC, BDeu, etc)
 
scoreAIC.cpp
 Implementation of gum::learning::ScoreAIC.
 
scoreAIC.h
 the class for computing AIC scores
 
scoreAIC_inl.h
 the class for computing AIC scores
 
scoreBD.cpp
 Implementation of gum::learning::ScoreBD.
 
scoreBD.h
 the class for computing Bayesian Dirichlet (BD) log2 scores
 
scoreBD_inl.h
 the class for computing BD scores
 
scoreBDeu.cpp
 Implementation of gum::learning::ScoreBDeu.
 
scoreBDeu.h
 the class for computing BDeu scores
 
scoreBDeu_inl.h
 the class for computing BDeu scores
 
scoreBIC.cpp
 Implementation of gum::learning::ScoreBIC.
 
scoreBIC.h
 the class for computing BIC scores
 
scoreBIC_inl.h
 the class for computing BIC scores
 
scorefNML.cpp
 Implementation of gum::learning::ScorefNML.
 
scorefNML.h
 the class for computing fNML scores
 
scorefNML_inl.h
 the class for computing fNML scores
 
scoreK2.cpp
 Implementation of gum::learning::ScoreK2.
 
scoreK2.h
 the class for computing K2 scores (actually their log2 value)
 
scoreK2_inl.h
 the class for computing K2 scores
 
scoreLog2Likelihood.cpp
 Implementation of gum::learning::ScoreLog2Likelihood.
 
scoreLog2Likelihood.h
 the class for computing Log2-likelihood scores
 
scoreLog2Likelihood_inl.h
 the class for computing Log2-Likelihood scores
 
scoreMDL.cpp
 Class to include at least once this header.
 
scoreMDL.h
 the class for computing MDL scores