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