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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 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 .
 */

/*
 * CheckScheme.java
 * Copyright (C) 2006-2012 University of Waikato, Hamilton, New Zealand
 *
 */

package weka.core;

import java.util.Collections;
import java.util.Enumeration;
import java.util.Random;
import java.util.StringTokenizer;
import java.util.Vector;

/**
 * Abstract general class for testing schemes in Weka. Derived classes are
 * also used for JUnit tests.
 *
 * @author FracPete (fracpete at waikato dot ac dot nz)
 * @version $Revision: 11247 $
 * @see TestInstances
 */
public abstract class CheckScheme
  extends Check {
  
  /** a class for postprocessing the test-data */
  public static class PostProcessor
    implements RevisionHandler {
    
    /**
     * Provides a hook for derived classes to further modify the data. Currently,
     * the data is just passed through.
     * 
     * @param data	the data to process
     * @return		the processed data
     */
    public Instances process(Instances data) {
      return data;
    }
    
    /**
     * Returns the revision string.
     * 
     * @return		the revision
     */
    public String getRevision() {
      return RevisionUtils.extract("$Revision: 11247 $");
    }
  }
  
  /** The number of instances in the datasets */
  protected int m_NumInstances = 20;
  
  /** the number of nominal attributes */
  protected int m_NumNominal = 2;
  
  /** the number of numeric attributes */
  protected int m_NumNumeric = 1;
  
  /** the number of string attributes */
  protected int m_NumString = 1;
  
  /** the number of date attributes */
  protected int m_NumDate = 1;
  
  /** the number of relational attributes */
  protected int m_NumRelational = 1;
  
  /** the number of instances in relational attributes (applies also for bags
   * in multi-instance) */
  protected int m_NumInstancesRelational = 10;
  
  /** for generating String attributes/classes */
  protected String[] m_Words = TestInstances.DEFAULT_WORDS;
  
  /** for generating String attributes/classes */
  protected String m_WordSeparators = TestInstances.DEFAULT_SEPARATORS;
  
  /** for post-processing the data even further */
  protected PostProcessor m_PostProcessor = null;
  
  /** whether classpath problems occurred */
  protected boolean m_ClasspathProblems = false;
  
  /**
   * Returns an enumeration describing the available options.
   *
   * @return an enumeration of all the available options.
   */
  public Enumeration




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