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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.
/*
* 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;
}