public final class TANStructuralLearning extends Object implements StructuralLearning
This algorithm uses tests (e.g. mutual information) conditional on a target to build a spanning tree, which is then directed to construct a Bayesian network with additional links added from the target. Often used for classification of the target.
Constructor and Description |
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TANStructuralLearning() |
Modifier and Type | Method and Description |
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StructuralLearningOutput |
learn(EvidenceReaderCommand readerCommand,
List<Node> nodes,
StructuralLearningOptions options)
Learn the structure (links) of a Bayesian network.
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public StructuralLearningOutput learn(EvidenceReaderCommand readerCommand, List<Node> nodes, StructuralLearningOptions options)
learn
in interface StructuralLearning
readerCommand
- Can create a reader which iterates round the data used to learn the network.nodes
- The nodes to be considered for links.options
- Options for the structural learning algorithm.Copyright © 2021. All rights reserved.