checkscheme.java

矩阵的QR分解算法

  }
  
  /**
   * sets the number of nominal attributes
   * 
   * @param value	the number of nominal attributes
   */
  public void setNumNominal(int value) {
    m_NumNominal = value;
  }
  
  /**
   * returns the current number of nominal attributes
   * 
   * @return 		the number of nominal attributes
   */
  public int getNumNominal() {
    return m_NumNominal;
  }
  
  /**
   * sets the number of numeric attributes
   * 
   * @param value 	the number of numeric attributes
   */
  public void setNumNumeric(int value) {
    m_NumNumeric = value;
  }
  
  /**
   * returns the current number of numeric attributes
   * 
   * @return 		the number of numeric attributes
   */
  public int getNumNumeric() {
    return m_NumNumeric;
  }
  
  /**
   * sets the number of string attributes
   * 
   * @param value 	the number of string attributes
   */
  public void setNumString(int value) {
    m_NumString = value;
  }
  
  /**
   * returns the current number of string attributes
   * 
   * @return 		the number of string attributes
   */
  public int getNumString() {
    return m_NumString;
  }
  
  /**
   * sets the number of data attributes
   * 
   * @param value	the number of date attributes
   */
  public void setNumDate(int value) {
    m_NumDate = value;
  }
  
  /**
   * returns the current number of date attributes
   * 
   * @return		the number of date attributes
   */
  public int getNumDate() {
    return m_NumDate;
  }
  
  /**
   * sets the number of relational attributes
   * 
   * @param value	the number of relational attributes
   */
  public void setNumRelational(int value) {
    m_NumRelational = value;
  }
  
  /**
   * returns the current number of relational attributes
   * 
   * @return		the number of relational attributes
   */
  public int getNumRelational() {
    return m_NumRelational;
  }
  
  /**
   * sets the number of instances in relational/bag attributes to produce
   * 
   * @param value	the number of instances
   */
  public void setNumInstancesRelational(int value) {
    m_NumInstancesRelational = value;
  }
  
  /**
   * returns the current number of instances in relational/bag attributes to produce
   * 
   * @return		the number of instances
   */
  public int getNumInstancesRelational() {
    return m_NumInstancesRelational;
  }

  /**
   * turns the comma-separated list into an array
   * 
   * @param value	the list to process
   * @return		the list as array
   */
  protected static String[] listToArray(String value) {
    StringTokenizer	tok;
    Vector		list;
    
    list = new Vector();
    tok = new StringTokenizer(value, ",");
    while (tok.hasMoreTokens())
      list.add(tok.nextToken());
    
    return (String[]) list.toArray(new String[list.size()]);
  }
  
  /**
   * turns the array into a comma-separated list
   * 
   * @param value	the array to process
   * @return		the array as list
   */
  protected static String arrayToList(String[] value) {
    String	result;
    int		i;
    
    result = "";
    
    for (i = 0; i < value.length; i++) {
      if (i > 0)
	result += ",";
      result += value[i];
    }
    
    return result;
  }
  
  /**
   * returns a string representation of the attribute type
   * 
   * @param type	the attribute type to get a string rerpresentation for
   * @return		the string representation
   */
  public static String attributeTypeToString(int type) {
    String	result;
    
    switch (type) {
      case Attribute.NUMERIC:
	result = "numeric";
	break;
	
      case Attribute.NOMINAL:
	result = "nominal";
	break;
	
      case Attribute.STRING:
	result = "string";
	break;
	
      case Attribute.DATE:
	result = "date";
	break;
	
      case Attribute.RELATIONAL:
	result = "relational";
	break;

      default:
	result = "???";
    }
    
    return result;
  }
  
  /**
   * Sets the comma-separated list of words to use for generating strings. The
   * list must contain at least 2 words, otherwise an exception will be thrown.
   * 
   * @param value			the list of words
   * @throws IllegalArgumentException	if not at least 2 words are provided
   */
  public void setWords(String value) {
    if (listToArray(value).length < 2)
      throw new IllegalArgumentException("At least 2 words must be provided!");
    
    m_Words = listToArray(value);
  }
  
  /**
   * returns the words used for assembling strings in a comma-separated list.
   * 
   * @return		the words as comma-separated list
   */
  public String getWords() {
    return arrayToList(m_Words);
  }

  /**
   * sets the word separators (chars) to use for assembling strings.
   * 
   * @param value	the characters to use as separators
   */
  public void setWordSeparators(String value) {
    m_WordSeparators = value;
  }
  
  /**
   * returns the word separators (chars) to use for assembling strings.
   * 
   * @return		the current separators
   */
  public String getWordSeparators() {
    return m_WordSeparators;
  }
  
  /**
   * Compare two datasets to see if they differ.
   *
   * @param data1 one set of instances
   * @param data2 the other set of instances
   * @throws Exception if the datasets differ
   */
  protected void compareDatasets(Instances data1, Instances data2)
    throws Exception {
    
    if (!data2.equalHeaders(data1)) {
      throw new Exception("header has been modified");
    }
    if (!(data2.numInstances() == data1.numInstances())) {
      throw new Exception("number of instances has changed");
    }
    for (int i = 0; i < data2.numInstances(); i++) {
      Instance orig = data1.instance(i);
      Instance copy = data2.instance(i);
      for (int j = 0; j < orig.numAttributes(); j++) {
        if (orig.isMissing(j)) {
          if (!copy.isMissing(j)) {
            throw new Exception("instances have changed");
          }
        } else if (orig.value(j) != copy.value(j)) {
          throw new Exception("instances have changed");
        }
        if (orig.weight() != copy.weight()) {
          throw new Exception("instance weights have changed");
        }	  
      }
    }
  }
  
  /**
   * Add missing values to a dataset.
   *
   * @param data the instances to add missing values to
   * @param level the level of missing values to add (if positive, this
   * is the probability that a value will be set to missing, if negative
   * all but one value will be set to missing (not yet implemented))
   * @param predictorMissing if true, predictor attributes will be modified
   * @param classMissing if true, the class attribute will be modified
   */
  protected void addMissing(Instances data, int level,
      boolean predictorMissing, boolean classMissing) {
    
    int classIndex = data.classIndex();
    Random random = new Random(1);
    for (int i = 0; i < data.numInstances(); i++) {
      Instance current = data.instance(i);
      for (int j = 0; j < data.numAttributes(); j++) {
        if (((j == classIndex) && classMissing) ||
            ((j != classIndex) && predictorMissing)) {
          if (Math.abs(random.nextInt()) % 100 < level)
            current.setMissing(j);
        }
      }
    }
  }
  
  /**
   * Provides a hook for derived classes to further modify the data. 
   * 
   * @param data	the data to process
   * @return		the processed data
   * @see #m_PostProcessor
   */
  protected Instances process(Instances data) {
    if (getPostProcessor() == null)
      return data;
    else
      return getPostProcessor().process(data);
  }
}