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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 .
 */

/*
 * VisualizePlugin.java
 * Copyright (C) 2005-2012 University of Waikato, Hamilton, New Zealand
 * Written by Jeffery Grajkowski of the AICML
 *
 */

package weka.gui.visualize.plugins;

import java.util.ArrayList;

import javax.swing.JMenuItem;

import weka.classifiers.evaluation.Prediction;
import weka.core.Attribute;

/**
 * Interface implemented by classes loaded dynamically to visualize classifier
 * results in the explorer.
 * 
 * @author Jeffery Grajkowski ([email protected])
 * @version $Revision: 10216 $
 */
public interface VisualizePlugin {

  /**
   * Get a JMenu or JMenuItem which contain action listeners that perform the
   * visualization, using some but not necessarily all of the data. Exceptions
   * thrown because of changes in Weka since compilation need to be caught by
   * the implementer.
   * 
   * @see NoClassDefFoundError
   * @see IncompatibleClassChangeError
   * 
   * @param preds predictions
   * @param classAtt class attribute
   * @return menuitem for opening visualization(s), or null to indicate no
   *         visualization is applicable for the input
   */
  public JMenuItem getVisualizeMenuItem(ArrayList preds,
    Attribute classAtt);

  /**
   * Get the minimum version of Weka, inclusive, the class is designed to work
   * with. eg: 3.5.0
   */
  public String getMinVersion();

  /**
   * Get the maximum version of Weka, exclusive, the class is designed to work
   * with. eg: 3.6.0
   */
  public String getMaxVersion();

  /**
   * Get the specific version of Weka the class is designed for. eg:
   * 3.5.1
   */
  public String getDesignVersion();
}