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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 2 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, write to the Free Software
 *    Foundation, Inc., 675 Mass Ave, Cambridge, MA 02139, USA.
 */

/*
 *    DecisionTableHashKey.java
 *    Copyright (C) 2007 University of Waikato, Hamilton, New Zealand
 *
 */
package weka.classifiers.rules;

import weka.core.Instance;
import weka.core.Instances;
import weka.core.RevisionHandler;
import weka.core.RevisionUtils;

import java.io.Serializable;

/**
 * Class providing hash table keys for DecisionTable
 */
public class DecisionTableHashKey 
  implements Serializable, RevisionHandler {

  /** for serialization */
  static final long serialVersionUID = 5674163500154964602L;

  /** Array of attribute values for an instance */
  private double [] attributes;

  /** True for an index if the corresponding attribute value is missing. */
  private boolean [] missing;

  /** The key */
  private int key;

  /**
   * Constructor for a hashKey
   *
   * @param t an instance from which to generate a key
   * @param numAtts the number of attributes
   * @param ignoreClass if true treat the class as a normal attribute
   * @throws Exception if something goes wrong
   */
  public DecisionTableHashKey(Instance t, int numAtts, boolean ignoreClass) throws Exception {

    int i;
    int cindex = t.classIndex();

    key = -999;
    attributes = new double [numAtts];
    missing = new boolean [numAtts];
    for (i=0;i