Package com.bayesserver.learning.structure

Interface StructuralLearning

All Known Implementing Classes:

ChowLiuStructuralLearning, ClusteringStructuralLearning, HierarchicalStructuralLearning, PCStructuralLearning, SearchStructuralLearning, TANStructuralLearning

public interface StructuralLearning

Defines methods for learning the structure (links) of a Bayesian network.

Method Summary

Modifier and Type	Method	Description
StructuralLearningOutput	learn(EvidenceReaderCommandFactory readerCommandFactory, List<Node> nodes, StructuralLearningOptions options)	Learn the structure (links) of a Bayesian network.
StructuralLearningOutput	learn(EvidenceReaderCommand evidenceReaderCommand, List<Node> nodes, StructuralLearningOptions options)	Learn the structure (links) of a Bayesian network.

Method Detail

learn

StructuralLearningOutput learn(EvidenceReaderCommand evidenceReaderCommand,
                               List<Node> nodes,
                               StructuralLearningOptions options)

Learn the structure (links) of a Bayesian network.

Parameters:

evidenceReaderCommand - 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.

Returns:

The output generated by the structural learning algorithm.

learn

StructuralLearningOutput learn(EvidenceReaderCommandFactory readerCommandFactory,
                               List<Node> nodes,
                               StructuralLearningOptions options)

Learn the structure (links) of a Bayesian network.

Parameters:

readerCommandFactory - Creates new evidence reader commands, which may be partitioned for use in cross validation.

nodes - The nodes to be considered for links.

options - Options for the structural learning algorithm.

Returns:

The output generated by the structural learning algorithm.