Module es.upm.fi.cig.multictbnc

Package es.upm.fi.cig.multictbnc.classification

Class ClassifierFactory

java.lang.Object

es.upm.fi.cig.multictbnc.classification.ClassifierFactory

public class ClassifierFactory
extends Object

Provides static methods for the creation of classifiers.

Constructor Summary

Constructors

Constructor	Description
ClassifierFactory()

Method Summary

Modifier and Type	Method	Description
static List<String>	getAvailableModels()	Returns a list with the currently available classifiers.
static MultiCTBNC<CPTNode,CIMNode>	getMultiCTBNC()	Generates a Multi-CTBNC including some default nodes and algorithms for the learning of its parameters and structure.
static MultiCTBNC	getMultiCTBNC(String nameClassifier, BNLearningAlgorithms bnLearningAlgs, CTBNLearningAlgorithms ctbnLearningAlgs)	Builds the specified classifier.
static MultiCTBNC	getMultiCTBNC(String nameClassifier, BNLearningAlgorithms bnLearningAlgs, CTBNLearningAlgorithms ctbnLearningAlgs, Map<String,String> hyperparameters)	Builds the specified classifier with the provided hyperparameters.
static <NodeTypeBN extends Node, NodeTypeCTBN extends Node> MultiCTBNC<NodeTypeBN,NodeTypeCTBN>	getMultiCTBNC(String nameClassifier, BNLearningAlgorithms bnLearningAlgs, CTBNLearningAlgorithms ctbnLearningAlgs, Map<String,String> hyperparameters, Class<NodeTypeBN> bnNodeClass, Class<NodeTypeCTBN> ctbnNodeClass)	Builds the specified classifier with the provided hyperparameters.
static MultiCTBNC<CPTNode,CIMNode>	getMultiCTBNCLearnedWithCTPC()	Generates a Multi-CTBNC including some default nodes and algorithms for the learning of its parameters and structure.
static MultiCTBNC<CPTNode,CIMNode>	getMultiCTBNCLearnedWithHybridAlgorithm()	Generates a Multi-CTBNC including some default nodes and algorithms for the learning of its parameters and structure.
static MultiCTBNC<CPTNode,CIMNode>	getMultiCTBNCLearnedWithMBCTPC()	Generates a Multi-CTBNC including some default nodes and algorithms for the learning of its parameters and structure.

Methods inherited from class java.lang.Object

clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

Constructor Details

ClassifierFactory

public ClassifierFactory()

Method Details

getAvailableModels

public static List<String> getAvailableModels()

Returns a list with the currently available classifiers.

Returns:

list of available classifiers

getMultiCTBNC

public static MultiCTBNC getMultiCTBNC(String nameClassifier,
 BNLearningAlgorithms bnLearningAlgs,
 CTBNLearningAlgorithms ctbnLearningAlgs)

Builds the specified classifier. The node type for the class variables is assumed to be a CPTNode, while for a feature variable a CIMNode.

Parameters:

nameClassifier - name of the classifier to build

bnLearningAlgs - parameter and structure learning algorithms for Bayesian networks

ctbnLearningAlgs - parameter and structure learning algorithms for continuous-time Bayesian networks

Returns:

a MultiCTBNC

getMultiCTBNC

public static MultiCTBNC getMultiCTBNC(String nameClassifier,
 BNLearningAlgorithms bnLearningAlgs,
 CTBNLearningAlgorithms ctbnLearningAlgs,
 Map<String,String> hyperparameters)

Builds the specified classifier with the provided hyperparameters. The node type for the class variables is assumed to be a CPTNode, while for a feature variable a CIMNode.

Parameters:

nameClassifier - name of the classifier to build

bnLearningAlgs - parameter and structure learning algorithms for Bayesian networks

ctbnLearningAlgs - parameter and structure learning algorithms for continuous-time Bayesian networks

hyperparameters - specific hyperparameters for each type of classifier

Returns:

a MultiCTBNC

getMultiCTBNC

public static <NodeTypeBN extends Node,
NodeTypeCTBN extends Node>
MultiCTBNC<NodeTypeBN,NodeTypeCTBN> getMultiCTBNC(String nameClassifier,
 BNLearningAlgorithms bnLearningAlgs,
 CTBNLearningAlgorithms ctbnLearningAlgs,
 Map<String,String> hyperparameters,
 Class<NodeTypeBN> bnNodeClass,
 Class<NodeTypeCTBN> ctbnNodeClass)

Builds the specified classifier with the provided hyperparameters.

Type Parameters:

NodeTypeBN - type of the nodes of the Bayesian network

NodeTypeCTBN - type of the nodes of the continuous-time Bayesian network

Parameters:

nameClassifier - name of the classifier to build

bnLearningAlgs - parameter and structure learning algorithms for Bayesian networks

ctbnLearningAlgs - parameter and structure learning algorithms for continuous-time Bayesian networks

hyperparameters - specific hyperparameters for each type of classifier

bnNodeClass - Bayesian network node type

ctbnNodeClass - continuous-time Bayesian network node type

Returns:

a MultiCTBNC

getMultiCTBNC

public static MultiCTBNC<CPTNode,CIMNode> getMultiCTBNC()

Generates a Multi-CTBNC including some default nodes and algorithms for the learning of its parameters and structure. This method was thought to easily generate the classifier.

Returns:

a Multi-CTBNC

getMultiCTBNCLearnedWithCTPC

public static MultiCTBNC<CPTNode,CIMNode> getMultiCTBNCLearnedWithCTPC()

Generates a Multi-CTBNC including some default nodes and algorithms for the learning of its parameters and structure. This method was thought to easily generate the classifier. The algorithms could be later modifier.

Returns:

a Multi-CTBNC

getMultiCTBNCLearnedWithHybridAlgorithm

public static MultiCTBNC<CPTNode,CIMNode> getMultiCTBNCLearnedWithHybridAlgorithm()

Generates a Multi-CTBNC including some default nodes and algorithms for the learning of its parameters and structure. This method was thought to easily generate the classifier. The algorithms could be later modifier.

Returns:

a Multi-CTBNC

getMultiCTBNCLearnedWithMBCTPC

public static MultiCTBNC<CPTNode,CIMNode> getMultiCTBNCLearnedWithMBCTPC()

Generates a Multi-CTBNC including some default nodes and algorithms for the learning of its parameters and structure. This method was thought to easily generate the classifier. The algorithms could be later modifier.

Returns:

a Multi-CTBNC