learning Directory Reference

Directory dependency graph for learning:

Directories
	BNLearnUtils
	constraints
	paramUtils
	priors
	scores_and_tests
	structureUtils

Files
	BNLearner.cpp
	BNLearner.h
	A basic pack of learning algorithms that can easily be used.
	BNLearner_tpl.h
	A pack of learning algorithms that can easily be used.
	correctedMutualInformation.cpp
	Implementation of gum::learning::CorrectedMutualInformation.
	correctedMutualInformation.h
	The class computing n times the corrected mutual information (where n is the size (or the weight) of the database) as used in the MIIC algorithm.
	correctedMutualInformation_inl.h
	The class computing n times the corrected mutual information, as used in the MIIC algorithm.
	greedyHillClimbing.cpp
	The greedy hill learning algorithm (for directed graphs).
	greedyHillClimbing.h
	The greedy hill learning algorithm (for directed graphs).
	greedyHillClimbing_tpl.h
	The greedy hill learning algorithm (for directed graphs).
	K2.cpp
	The K2 algorithm.
	K2.h
	The K2 algorithm.
	K2_inl.h
	The K2 algorithm.
	K2_tpl.h
	The K2 algorithm.
	localSearchWithTabuList.cpp
	The local search learning algorithm (for directed graphs).
	localSearchWithTabuList.h
	The local search learning with tabu list algorithm (for directed graphs).
	localSearchWithTabuList_inl.h
	The local search learning algorithm (for directed graphs).
	localSearchWithTabuList_tpl.h
	The local search with tabu list learning algorithm (for directed graphs).
	Miic.cpp
	Implementation of gum::learning::Constraint MIIC.
	Miic.h
	The Miic algorithm.
	SimpleMiic.cpp
	Implementation of gum::learning:: MIIC.
	SimpleMiic.h
	The SimpleMiic algorithm.