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The Waikato Environment for Knowledge Analysis (WEKA), a machine learning workbench. This version represents the developer version, the "bleeding edge" of development, you could say. New functionality gets added to this version.

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/*
 *   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 .
 */

/**
 *    KStarWrapper.java
 *    Copyright (C) 1995-2012 Univeristy of Waikato
 *    Java port to Weka by Abdelaziz Mahoui ([email protected]).
 *
 */

package weka.classifiers.lazy.kstar;

import weka.core.RevisionHandler;
import weka.core.RevisionUtils;

/*
 * @author Len Trigg ([email protected])
 * @author Abdelaziz Mahoui ([email protected])
 * @version $Revision 1.0 $
 */
public class KStarWrapper
  implements RevisionHandler {

  /** used/reused to hold the sphere size */
  public double sphere = 0.0;

  /** used/reused to hold the actual entropy */
  public double actEntropy = 0.0;

  /** used/reused to hold the random entropy */
  public double randEntropy = 0.0;

  /** used/reused to hold the average transformation probability */
  public double avgProb = 0.0;

  /** used/reused to hold the smallest transformation probability */
  public double minProb = 0.0;
  
  /**
   * Returns the revision string.
   * 
   * @return		the revision
   */
  public String getRevision() {
    return RevisionUtils.extract("$Revision: 8034 $");
  }

}