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The Waikato Environment for Knowledge Analysis (WEKA), a machine learning workbench. This is the stable version. Apart from bugfixes, this version does not receive any other updates.

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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 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.
 */

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

package weka.classifiers.trees.j48;

import weka.core.Instances;
import weka.core.RevisionHandler;

import java.io.Serializable;

/**
 * Abstract class for model selection criteria.
 *
 * @author Eibe Frank ([email protected])
 * @version $Revision: 1.8 $
 */
public abstract class ModelSelection
  implements Serializable, RevisionHandler {

  /** for serialization */
  private static final long serialVersionUID = -4850147125096133642L;

  /**
   * Selects a model for the given dataset.
   *
   * @exception Exception if model can't be selected
   */
  public abstract ClassifierSplitModel selectModel(Instances data) throws Exception;

  /**
   * Selects a model for the given train data using the given test data
   *
   * @exception Exception if model can't be selected
   */
  public ClassifierSplitModel selectModel(Instances train, Instances test) 
       throws Exception {

    throw new Exception("Model selection method not implemented");
  }
}