Scores and Independence Tests

Collaboration diagram for Scores and Independence Tests:

Classes
class	gum::learning::IdCondSetIterator
	The iterators for IdSets. More...
class	gum::learning::IdCondSet
	A class for storing a pair of sets of NodeIds, the second one corresponding to a conditional set. More...
class	gum::learning::IndependenceTest
	The base class for all the independence tests used for learning. More...
class	gum::learning::IndepTestChi2
	the class for computing Chi2 independence test scores More...
class	gum::learning::IndepTestG2
	the class for computing G2 independence test scores More...
class	gum::learning::KNML
	the class for computing the NML penalty used by MIIC More...
class	gum::learning::RecordCounter
	The class that computes counting of observations from the database. More...
class	gum::learning::ScoringCache
	a cache for caching scores and independence tests results More...
class	gum::learning::CorrectedMutualInformation
	The class computing n times the corrected mutual information, as used in the MIIC algorithm. More...
class	gum::learning::Score
	The base class for all the scores used for learning (BIC, BDeu, etc). More...
class	gum::learning::ScoreAIC
	the class for computing AIC scores More...
class	gum::learning::ScoreBD
	the class for computing Bayesian Dirichlet (BD) log2 scores More...
class	gum::learning::ScoreBDeu
	the class for computing BDeu scores More...
class	gum::learning::ScoreBIC
	the class for computing BIC scores More...
class	gum::learning::ScorefNML
	the class for computing fNML scores More...
class	gum::learning::ScoreK2
	the class for computing K2 scores (actually their log2 value) More...
class	gum::learning::ScoreLog2Likelihood
	the class for computing Log2-likelihood scores More...
class	ScoreMDL
	the class for computing MDL scores More...

Detailed Description