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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 .
 */

/*
 *    AdditionalMeasureProducer.java
 *    Copyright (C) 2000-2012 University of Waikato, Hamilton, New Zealand
 *
 */

package weka.core;

import java.util.Enumeration;

/** 
 * Interface to something that can produce measures other than those
 * calculated by evaluation modules. 
 *
 * @author Mark Hall ([email protected])
 * @version $Revision: 10141 $
 */
public interface AdditionalMeasureProducer {

  /**
   * Returns an enumeration of the measure names. Additional measures
   * must follow the naming convention of starting with "measure", eg.
   * double measureBlah()
   * @return an enumeration of the measure names
   */
  Enumeration enumerateMeasures();

  /**
   * Returns the value of the named measure
   * @param measureName the name of the measure to query for its value
   * @return the value of the named measure
   * @exception IllegalArgumentException if the named measure is not supported
   */
  double getMeasure(String measureName);
}