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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 .
 */

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

package weka.core;

/** 
 * Interface to something that can be drawn as a graph.
 *
 * @author Ashraf M. Kibriya([email protected]), Eibe Frank([email protected])
 * @version $Revision: 8034 $
 */
public interface Drawable {

  int NOT_DRAWABLE = 0, TREE = 1, BayesNet = 2, Newick = 3;

  /**
   * Returns the type of graph representing
   * the object.
   *
   * @return the type of graph representing the object
   */
  int graphType();

  /**
   * Returns a string that describes a graph representing
   * the object. The string should be in XMLBIF ver.
   * 0.3 format if the graph is a BayesNet, otherwise
   * it should be in dotty format.
   *
   * @return the graph described by a string
   * @exception Exception if the graph can't be computed
   */
  String graph() throws Exception;
}