scores_and_tests Directory Reference

Directory dependency graph for scores_and_tests:

Files
file	correctedMutualInformation.cpp [code]
	Implementation of gum::learning::CorrectedMutualInformation.
file	correctedMutualInformation.h [code]
	The class computing n times the corrected mutual information, as used in the 3off2 algorithm.
file	correctedMutualInformation_tpl.h [code]
	The class computing n times the corrected mutual information, as used in the 3off2 algorithm.
file	idSet.cpp [code]
	Implementation of idSets.
file	idSet.h [code]
	A class used by learning caches to represent uniquely sets of variables.
file	idSet_tpl.h [code]
	Template implementation of idSets.
file	independenceTest.cpp [code]
	Implementation of gum::learning::IndependenceTest.
file	independenceTest.h [code]
	the base class for all the independence tests used for learning
file	independenceTest_tpl.h [code]
	the base class for all the independence tests used for learning
file	indepTestChi2.cpp [code]
	Implementation of gum::learning::IndepTestChi2.
file	indepTestChi2.h [code]
	the class for computing Chi2 scores
file	indepTestChi2_tpl.h [code]
	the class for computing Chi2 scores
file	indepTestG2.cpp [code]
	Implementation of gum::learning::IndepTestG2.
file	indepTestG2.h [code]
	the class for computing G2 scores
file	indepTestG2_tpl.h [code]
	the class for computing G2 scores
file	kNML.cpp [code]
	Implementation of gum::learning::kNML.
file	kNML.h [code]
	The class for the NML penalty used in 3off2.
file	kNML_tpl.h [code]
	The class for the NML penalty used in 3off2.
file	recordCounter.cpp [code]
	The class that computes countings of observations from the database.
file	recordCounter.h [code]
	The class that computes countings of observations from the database.
file	recordCounter_tpl.h [code]
	The class that computes countings of observations from the database.
file	score.cpp [code]
	Implementation of gum::learning::Score.
file	score.h [code]
	the base class for all the scores used for learning (BIC, BDeu, etc)
file	score_tpl.h [code]
	the base class for all the scores used for learning (BIC, BDeu, etc)
file	scoreAIC.cpp [code]
	Implementation of gum::learning::ScoreAIC.
file	scoreAIC.h [code]
	the class for computing AIC scores
file	scoreAIC_tpl.h [code]
	the class for computing AIC scores
file	scoreBD.cpp [code]
	Implementation of gum::learning::ScoreBD.
file	scoreBD.h [code]
	the class for computing Bayesian Dirichlet (BD) log2 scores
file	scoreBD_tpl.h [code]
	the class for computing BD scores
file	scoreBDeu.cpp [code]
	Implementation of gum::learning::ScoreBDeu.
file	scoreBDeu.h [code]
	the class for computing BDeu scores
file	scoreBDeu_tpl.h [code]
	the class for computing BDeu scores
file	scoreBIC.cpp [code]
	Implementation of gum::learning::ScoreBIC.
file	scoreBIC.h [code]
	the class for computing BIC scores
file	scoreBIC_tpl.h [code]
	the class for computing BIC scores
file	scorefNML.cpp [code]
	Implementation of gum::learning::ScorefNML.
file	scorefNML.h [code]
	the class for computing fNML scores
file	scorefNML_tpl.h [code]
	the class for computing fNML scores
file	scoreK2.cpp [code]
	Implementation of gum::learning::ScoreK2.
file	scoreK2.h [code]
	the class for computing K2 scores (actually their log2 value)
file	scoreK2_tpl.h [code]
	the class for computing K2 scores
file	scoreLog2Likelihood.cpp [code]
	Implementation of gum::learning::ScoreLog2Likelihood.
file	scoreLog2Likelihood.h [code]
	the class for computing Log2-likelihood scores
file	scoreLog2Likelihood_tpl.h [code]
	the class for computing Log2-Likelihood scores
file	scoreMDL.cpp [code]
	Class to include at least once this header.
file	scoreMDL.h [code]
	the class for computing MDL scores
file	scoringCache.cpp [code]
	a cache for caching scores and independence tests results
file	scoringCache.h [code]
	a cache for caching scores and independence tests results
file	scoringCache_tpl.h [code]
	a cache for caching scores and independence tests results