keel.Algorithms.Semi_Supervised_Learning.CoForest

Class CoForestAlgorithm

java.lang.Object

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

keel.Algorithms.Semi_Supervised_Learning.CoForest.CoForestAlgorithm

public class CoForestAlgorithm
extends PrototypeGenerationAlgorithm<CoForestGenerator>

CoForest 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
CoForestAlgorithm()

Method Summary

Modifier and Type	Method and Description
protected CoForestGenerator	buildNewPrototypeGenerator(PrototypeSet train, PrototypeSet unlabeled, PrototypeSet test, Parameters params) Builds a new CoForestGenerator.
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

CoForestAlgorithm

public CoForestAlgorithm()

Method Detail

buildNewPrototypeGenerator

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

Builds a new CoForestGenerator.

Specified by:

buildNewPrototypeGenerator in class PrototypeGenerationAlgorithm<CoForestGenerator>

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 CoForestGenerator object with data and parameters full load.

main

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

Main method. Executes CoForest algorithm.

Parameters:

args - Console arguments of the method.