zeroonelossfunction.java

代码是一个分类器的实现,其中使用了部分weka的源代码。可以将项目导入eclipse运行

/*
 *    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 2 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, write to the Free Software
 *    Foundation, Inc., 675 Mass Ave, Cambridge, MA 02139, USA.
 */

/*
 *    ZeroOneLossFunction.java
 *    Copyright (C) 2004 Stijn Lievens
 *
 */

package weka.classifiers.misc.monotone;

/**
 * Class implementing the zero-one loss function, this is 
 * an incorrect prediction always accounts for one unit loss.
 *
 * <p>
 * This implementation is done as part of the master's thesis: "Studie
 * en implementatie van instantie-gebaseerde algoritmen voor gesuperviseerd
 * rangschikken", Stijn Lievens, Ghent University, 2004. 
 * </p>
 * 
 * @author Stijn Lievens ([e-mail])
 * @version $Revision: 1.1 $
 */
public class ZeroOneLossFunction
  implements NominalLossFunction {

  /**
   * Returns the zero-one loss function between two class values.
   * 
   * @param actual the actual class value
   * @param predicted the predicted class value
   * @return 1 if the actual and predicted value differ, 0 otherwise
   */
  public final double loss(double actual, double predicted) {
    return actual == predicted ? 0 : 1;
  }

  /**
   * Returns a string with the name of the loss function.
   *
   * @return a string with the name of the loss function
   */
  public String toString() {
    return "ZeroOneLossFunction";
  }
}