Uses of Package
com.bayesserver.learning.structure

Packages that use com.bayesserver.learning.structure

Package	Description
com.bayesserver.learning.structure

Classes in com.bayesserver.learning.structure used by com.bayesserver.learning.structure

Class	Description
FeatureSelectionOptions	Options governing the tests carried out to determine whether variables are likely to be features (predictors) of a target variable.
FeatureSelectionOutput	Contains information returned by FeatureSelection.detect(java.util.List<com.bayesserver.Variable>, com.bayesserver.data.EvidenceReaderCommand, com.bayesserver.Variable, com.bayesserver.learning.structure.FeatureSelectionOptions) about feature selection tests.
FeatureSelectionTest	Contains information about a test carried out between a variable and a target to determine whether the variable is likely to be a feature or not.
IndependenceOptions	Options governing independence and conditional independence tests.
LinkConstraint	Defines a constraint on a link between two nodes during structural learning.
LinkConstraintCollection	A collection of link constraints.
LinkConstraintFailureMode	Determines the action taken if a link constraint cannot be honoured.
LinkConstraintMethod	Determines how a link is constrained.
LinkOutput	Contains information about a link returned from a structural learning algorithm.
ScoreMethod	The scoring mechanism used to evaluate different Bayesian network structures during a search.
StructuralLearning	Defines methods for learning the structure (links) of a Bayesian network.
StructuralLearningOptions	Options governing a structural learning algorithm.
StructuralLearningOutput	Contains information returned from a structural learning algorithm.
StructuralLearningProgress	Interface to provide progress information during structural learning.
StructuralLearningProgressInfo	Interface to provide progress information during structural learning.