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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 .
 */

/*
 *    Sourcable.java
 *    Copyright (C) 1999-2012 University of Waikato, Hamilton, New Zealand
 *
 */

package weka.classifiers;

/**
 * Interface for classifiers that can be converted to Java source.
 *
 * @author Len Trigg ([email protected])
 * @version $Revision: 8034 $
 */
public interface Sourcable {

  /**
   * Returns a string that describes the classifier as source. The
   * classifier will be contained in a class with the given name (there may
   * be auxiliary classes),
   * and will contain a method with the signature:
   * 
   * public static double classify(Object [] i);
   * 
   * where the array i contains elements that are either
   * Double, String, with missing values represented as null. The generated
   * code is public domain and comes with no warranty.
   *
   * @param className the name that should be given to the source class.
   * @return the object source described by a string
   * @throws Exception if the source can't be computed
   */
  String toSource(String className) throws Exception;
}