keel.Algorithms.Semi_Supervised_Learning.SelfTraining

Class SelfTrainingAlgorithm

java.lang.Object

keel.Algorithms.Semi_Supervised_Learning.Basic.PrototypeGenerationAlgorithm<SelfTrainingGenerator>

keel.Algorithms.Semi_Supervised_Learning.SelfTraining.SelfTrainingAlgorithm

public class SelfTrainingAlgorithm
extends PrototypeGenerationAlgorithm<SelfTrainingGenerator>

SelfTraining algorithm calling.

Author:

Isaac Triguero

Field Summary

Fields inherited from class keel.Algorithms.Semi_Supervised_Learning.Basic.PrototypeGenerationAlgorithm

inputFiles, inputFilesPath, Itest, outputFiles, outputFilesPath, parameters, parametersName, TEST, testFileName, train, TRAINING, trainingFileName, TRS

Constructor Summary

Constructors

Constructor and Description
SelfTrainingAlgorithm()

Method Summary

Modifier and Type	Method and Description
protected SelfTrainingGenerator	buildNewPrototypeGenerator(PrototypeSet train, PrototypeSet unlabeled, PrototypeSet test, Parameters params) Builds a new SelfTrainingGenerator.
static void	main(java.lang.String[] args) Main method.

Methods inherited from class keel.Algorithms.Semi_Supervised_Learning.Basic.PrototypeGenerationAlgorithm

assertArguments, execute, printParameters, readParametersFile, readPrototypeSet, readPrototypeSet, writeOutput

Methods inherited from class java.lang.Object

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

Constructor Detail

SelfTrainingAlgorithm

public SelfTrainingAlgorithm()

Method Detail

buildNewPrototypeGenerator

protected SelfTrainingGenerator buildNewPrototypeGenerator(PrototypeSet train,
                                                           PrototypeSet unlabeled,
                                                           PrototypeSet test,
                                                           Parameters params)

Builds a new SelfTrainingGenerator.

Specified by:

buildNewPrototypeGenerator in class PrototypeGenerationAlgorithm<SelfTrainingGenerator>

Parameters:

unlabeled - Unlabeled data set.

test - Test data set.

params - Parameters of the algorithm of reduction.

train - Training data set that will be used for the generator object.

Returns:

New prototype CoForSelfTrainingGeneratorestGenerator object with data and parameters full load.

main

public static void main(java.lang.String[] args)

Main method. Executes SelfTraining algorithm.

Parameters:

args - Console arguments of the method.