Factory.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 Jaume Bacardit (La Salle, Ram�n Llull University - Barcelona) 28/03/2004
 * @author Modified by Xavi Sol� (La Salle, Ram�n Llull University - Barcelona) 23/12/2008
 * @author Modified by Jose A. Saez Munoz (ETSIIT, Universidad de Granada - Granada) 10/09/10
 * @version 1.1
 * @since JDK1.2
 * </p>
 */


package keel.Algorithms.Genetic_Rule_Learning.MPLCS;

import keel.Dataset.*;
import keel.Algorithms.Genetic_Rule_Learning.MPLCS.Assistant.Globals.*;


public class Factory {
  static boolean realKR;

  public static void initialize() {
    boolean hasDefaultClass;
    if (Attributes.hasRealAttributes()|| Attributes.hasIntegerAttributes()) {
      if (Parameters.adiKR) {
    	System.out.println("\n\nRepresentaci�n de reglas = ADI\n\n");
        Globals_ADI.initialize();
      }

      hasDefaultClass = Globals_ADI.hasDefaultClass();
      realKR = true;
    }
    else {
      System.out.println("\n\nRepresentaci�n de reglas = GABIL\n\n");
      realKR = false;
      Parameters.adiKR = false;
      Globals_GABIL.initialize();
      hasDefaultClass = Globals_GABIL.hasDefaultClass();
    }
    Globals_DefaultC.init(hasDefaultClass);
  }

  public static Classifier newClassifier() {
    if (realKR) {
      if (Parameters.adiKR) {
        return new ClassifierADI();
      }

    }
    return new ClassifierGABIL();
  }
}