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 and 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.