Class PCStructuralLearning

A structural learning algorithm for Bayesian networks based on the PC algorithm.

Inheritance

System.Object

PCStructuralLearning

Implements

IStructuralLearning

Inherited Members

System.Object.Equals(System.Object)

System.Object.Equals(System.Object, System.Object)

System.Object.GetHashCode()

System.Object.GetType()

System.Object.MemberwiseClone()

System.Object.ReferenceEquals(System.Object, System.Object)

System.Object.ToString()

Namespace: BayesServer.Learning.Structure.PC

Assembly: BayesServer.Learning.Structure.dll

Syntax

public sealed class PCStructuralLearning : IStructuralLearning

Remarks

This algorithm uses independence and conditional independence tests to determine the structure (links) of the Bayesian network.

Methods

Learn(IEvidenceReaderCommand, IList<Node>, IStructuralLearningOptions)

Learn the structure (links) of a Bayesian network.

Declaration

public IStructuralLearningOutput Learn(IEvidenceReaderCommand evidenceReaderCommand, IList<Node> nodes, IStructuralLearningOptions options)

Parameters

Type	Name	Description
IEvidenceReaderCommand	evidenceReaderCommand	Can create a reader which iterates round the data used to learn the network.
System.Collections.Generic.IList<Node>	nodes	The nodes to be considered for links.
IStructuralLearningOptions	options	Options for the structural learning algorithm.

Returns

Type	Description
IStructuralLearningOutput	The output generated by the structural learning algorithm.

Learn(IEvidenceReaderCommandFactory, IList<Node>, IStructuralLearningOptions)

Learn the structure (links) of a Bayesian network.

Declaration

public IStructuralLearningOutput Learn(IEvidenceReaderCommandFactory readerCommandFactory, IList<Node> nodes, IStructuralLearningOptions options)

Parameters

Type	Name	Description
IEvidenceReaderCommandFactory	readerCommandFactory	Creates new evidence reader commands, which may be partitioned for use in cross validation.
System.Collections.Generic.IList<Node>	nodes	The nodes to be considered for links.
IStructuralLearningOptions	options	Options for the structural learning algorithm.

Returns

Type	Description
IStructuralLearningOutput	The output generated by the structural learning algorithm.

Implements

IStructuralLearning