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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.
/*
* 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 .
*/
/*
* GraphConstants.java
* Copyright (C) 2003-2012 University of Waikato, Hamilton, New Zealand
*
*/
package weka.gui.graphvisualizer;
/**
* GraphConstants.java
*
*
* @author Ashraf M. Kibriya ([email protected])
* @version $Revision: 8034 $ - 24 Apr 2003 - Initial version (Ashraf M. Kibriya)
*/
public interface GraphConstants {
/** Types of Edges */
int DIRECTED=1, REVERSED=2, DOUBLE=3;
//Node types
/** SINGULAR_DUMMY node - node with only one outgoing edge
* i.e. one which represents a single edge and is inserted to close a gap */
int SINGULAR_DUMMY=1;
/** PLURAL_DUMMY node - node with more than one outgoing edge
* i.e. which represents an edge split and is inserted to close a gap */
int PLURAL_DUMMY=2;
/** NORMAL node - node actually contained in graphs description */
int NORMAL=3;
} // GraphConstants
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