Main.java

/***********************************************************************

	This file is part of KEEL-software, the Data Mining tool for regression, 
	classification, clustering, pattern mining and so on.

	Copyright (C) 2004-2010
	
	F. Herrera (herrera@decsai.ugr.es)
    L. S�nchez (luciano@uniovi.es)
    J. Alcal�-Fdez (jalcala@decsai.ugr.es)
    S. Garc�a (sglopez@ujaen.es)
    A. Fern�ndez (alberto.fernandez@ujaen.es)
    J. Luengo (julianlm@decsai.ugr.es)

	This program is free software: you can redistribute it and/or modify
	it under the terms of the GNU General Public License as published by
	the Free Software Foundation, either version 3 of the License, or
	(at your option) any later version.

	This program is distributed in the hope that it will be useful,
	but WITHOUT ANY WARRANTY; without even the implied warranty of
	MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
	GNU General Public License for more details.

	You should have received a copy of the GNU General Public License
	along with this program.  If not, see http://www.gnu.org/licenses/
  
**********************************************************************/

/**
 * <p>
 * @author Written by Rosa Venzala (University of Granada) 02/06/2008
 * @author Modified by Xavi Sol� (La Salle, Ram�n Llull University - Barcelona) 16/12/2008
 * @version 1.1
 * @since JDK1.2
 * </p>
 */

package keel.Algorithms.Hyperrectangles.EACH;

import java.util.StringTokenizer;
import org.core.*;

import java.io.*;
import keel.Dataset.*;
import java.util.Arrays;


public class Main {
/**
 * <p>
 * Main class of the Each algorithm
 * </p>
 */
	
    private String trainFile;
    private String evalationFile; 
    private String testFile;
    private String outTrainFile;
    private String outTestFile;
    private String outFile;
    private long seed;
    private double delta;
    private int second_chance;


    public Main() {
    }

    /**
     * <p>
     * Gets all the information from the parameters file.
     * First, reads the name of the train and test files.
     * After, reads where we want to store the results.
     * Finally, reads the algorithm's parameters.
     * </p>
     * @param nameFile Name of th parameter's file
     */
    private void initArguments(String nameFile) {
        StringTokenizer linea, datos;
        String fichero = Fichero.leeFichero(nameFile); //guardo todo el fichero como un String para procesarlo:
        String una_linea;
        linea = new StringTokenizer(fichero, "\n\r");
        linea.nextToken(); //Paso del nombre del algoritmo
        una_linea = linea.nextToken(); //Leo una linea
        datos = new StringTokenizer(una_linea, " = \" ");
        datos.nextToken(); //inputData
        trainFile = datos.nextToken();
	trainFile = datos.nextToken();
	//System.err.println(ficheroTrain);
       // ficheroEval = datos.nextToken(); //fichero de evaluaci�
        testFile = datos.nextToken();
        una_linea = linea.nextToken(); //Leo una linea
        datos = new StringTokenizer(una_linea, " = \" ");
        datos.nextToken(); //outputData
        outTrainFile = datos.nextToken();
	//System.err.println(ficheroSalidatr);
        outTestFile = datos.nextToken();
        outFile = datos.nextToken();
	
	una_linea = linea.nextToken(); //Leo una linea
        datos = new StringTokenizer(una_linea, " = \" ");
        datos.nextToken(); 
	seed = Long.parseLong(datos.nextToken());
	
	una_linea = linea.nextToken(); //Leo una linea
        datos = new StringTokenizer(una_linea, " = \" ");
        datos.nextToken(); //delta
        delta = Double.parseDouble(datos.nextToken());
	
	una_linea = linea.nextToken(); //Leo una linea
        datos = new StringTokenizer(una_linea, " = \" ");
	datos.nextToken(); 
	String Aux = datos.nextToken();
        second_chance = 1;//por defecto se utiliza second chance
        if (Aux.compareTo("NO") == 0){//es no
          second_chance = 0;
	  System.out.println("EACH GREEDY");
        }
	
    };

    /**
     * <p>
     * Starts the EACH algorithm
     * </p>
     */
    private void execute() {
	EACH each=new EACH(trainFile,testFile,outTrainFile,outTestFile,outFile,seed,delta,second_chance);
    }

    /**
     * <p>
     * Main program
     * </p>
     * @param args Name of the parameter's file<br/>
     * Formato:<br/>
     * <em>algorith = <nombre algoritmo></em><br/>
     * <em>inputData = "<fichero training>" "<fichero validacion>" "<fichero test>"</em> ...<br/>
     * <em>outputData = "<fichero training>" "<fichero test>"</em> ...<br/>
     * <br/>
     * <em>seed = valor</em> (si se usa semilla)<br/>
     * <em><Descripcion1> = <valor1></em><br/>
     * <em><Descripcion2> = <valor2></em> ... (por si hay mas argumentos)<br/>
     */
    public static void main(String args[]) {
        Main mimain = new Main();
        mimain.initArguments(args[0]); //Solo cogere el primer argumento (nombre del fichero)
        System.err.println("Executing EACH");
        mimain.execute();
    }
 }