cls.java

一个数据挖掘系统的源码

    }
  }

  /**
   * Gets the current settings of the Classifier.
   *
   * @return an array of strings suitable for passing to setOptions
   */
  public String [] getOptions() {

    String [] options = new String [10];
    int current = 0;

    if (m_noCleanup) {
      options[current++] = "-L";
    }
    if (m_unpruned) {
      options[current++] = "-U";
    } else {
      if (!m_subtreeRaising) {
	options[current++] = "-S";
      }
      if (m_reducedErrorPruning) {
	options[current++] = "-R";
	options[current++] = "-N"; options[current++] = "" + m_numFolds;
      } else {
	options[current++] = "-C"; options[current++] = "" + m_CF;
      }
    }
    if (m_binarySplits) {
      options[current++] = "-B";
    }
    options[current++] = "-M"; options[current++] = "" + m_minNumObj;
    if (m_useLaplace) {
      options[current++] = "-A";
    }

    while (current < options.length) {
      options[current++] = "";
    }
    return options;
  }

  /**
   * Get the value of useLaplace.
   *
   * @return Value of useLaplace.
   */
  public boolean getUseLaplace() {

    return m_useLaplace;
  }

  /**
   * Set the value of useLaplace.
   *
   * @param newuseLaplace Value to assign to useLaplace.
   */
  public void setUseLaplace(boolean newuseLaplace) {

    m_useLaplace = newuseLaplace;
  }

  /**
   * Returns a description of the classifier.
   */
  public String toString() {

    if (m_root == null) {
      return "No classifier built";
    }
    if (m_unpruned)
      return "CLS unpruned tree\n------------------\n" + m_root.toString();
    else
//       System.out.println("Takis");
      return "CLS pruned tree\n------------------\n" + m_root.toString();

  }

  /**
   * Returns a superconcise version of the model
   */
  public String toSummaryString() {

    return "Number of leaves: " + m_root.numLeaves() + "\n"
         + "Size of the tree: " + m_root.numNodes() + "\n";
  }

  /**
   * Returns the size of the tree
   * @return the size of the tree
   */
  public double measureTreeSize() {
    return m_root.numNodes();
  }

  /**
   * Returns the number of leaves
   * @return the number of leaves
   */
  public double measureNumLeaves() {
    return m_root.numLeaves();
  }

  /**
   * Returns the number of rules (same as number of leaves)
   * @return the number of rules
   */
  public double measureNumRules() {
    return m_root.numLeaves();
  }

  /**
   * Returns an enumeration of the additional measure names
   * @return an enumeration of the measure names
   */
  public Enumeration enumerateMeasures() {
    Vector newVector = new Vector(3);
    newVector.addElement("measureTreeSize");
    newVector.addElement("measureNumLeaves");
    newVector.addElement("measureNumRules");
    return newVector.elements();
  }

  /**
   * Returns the value of the named measure
   * @param measureName the name of the measure to query for its value
   * @return the value of the named measure
   * @exception IllegalArgumentException if the named measure is not supported
   */
  public double getMeasure(String additionalMeasureName) {
    if (additionalMeasureName.compareTo("measureNumRules") == 0) {
      return measureNumRules();
    } else if (additionalMeasureName.compareTo("measureTreeSize") == 0) {
      return measureTreeSize();
    } else if (additionalMeasureName.compareTo("measureNumLeaves") == 0) {
      return measureNumLeaves();
    } else {
      throw new IllegalArgumentException(additionalMeasureName
			  + " not supported (cls)");
    }
  }

  /**
   * Get the value of unpruned.
   *
   * @return Value of unpruned.
   */
  public boolean getUnpruned() {

    return m_unpruned;
  }

  /**
   * Set the value of unpruned. Turns reduced-error pruning
   * off if set.
   * @param v  Value to assign to unpruned.
   */
  public void setUnpruned(boolean v) {

    if (v) {
      m_reducedErrorPruning = false;
    }
    m_unpruned = v;
  }

  /**
   * Get the value of CF.
   *
   * @return Value of CF.
   */
  public float getConfidenceFactor() {

    return m_CF;
  }

  /**
   * Set the value of CF.
   *
   * @param v  Value to assign to CF.
   */
  public void setConfidenceFactor(float v) {

    m_CF = v;
  }

  /**
   * Get the value of minNumObj.
   *
   * @return Value of minNumObj.
   */
  public int getMinNumObj() {

    return m_minNumObj;
  }

  /**
   * Set the value of minNumObj.
   *
   * @param v  Value to assign to minNumObj.
   */
  public void setMinNumObj(int v) {

    m_minNumObj = v;
  }

  /**
   * Get the value of reducedErrorPruning.
   *
   * @return Value of reducedErrorPruning.
   */
  public boolean getReducedErrorPruning() {

    return m_reducedErrorPruning;
  }

  /**
   * Set the value of reducedErrorPruning. Turns
   * unpruned trees off if set.
   *
   * @param v  Value to assign to reducedErrorPruning.
   */
  public void setReducedErrorPruning(boolean v) {

    if (v) {
      m_unpruned = false;
    }
    m_reducedErrorPruning = v;
  }

  /**
   * Get the value of numFolds.
   *
   * @return Value of numFolds.
   */
  public int getNumFolds() {

    return m_numFolds;
  }

  /**
   * Set the value of numFolds.
   *
   * @param v  Value to assign to numFolds.
   */
  public void setNumFolds(int v) {

    m_numFolds = v;
  }

  /**
   * Get the value of binarySplits.
   *
   * @return Value of binarySplits.
   */
  public boolean getBinarySplits() {

    return m_binarySplits;
  }

  /**
   * Set the value of binarySplits.
   *
   * @param v  Value to assign to binarySplits.
   */
  public void setBinarySplits(boolean v) {

    m_binarySplits = v;
  }

  /**
   * Get the value of subtreeRaising.
   *
   * @return Value of subtreeRaising.
   */
  public boolean getSubtreeRaising() {

    return m_subtreeRaising;
  }

  /**
   * Set the value of subtreeRaising.
   *
   * @param v  Value to assign to subtreeRaising.
   */
  public void setSubtreeRaising(boolean v) {

    m_subtreeRaising = v;
  }

  /**
   * Check whether instance data is to be saved.
   *
   * @return true if instance data is saved
   */
  public boolean getSaveInstanceData() {

    return m_noCleanup;
  }

  /**
   * Set whether instance data is to be saved.
   * @param v true if instance data is to be saved
   */
  public void setSaveInstanceData(boolean v) {

    m_noCleanup = v;
  }
  //private ClassifierTree m_root;
  public ClassifierTree getClassifierTree() {
    return m_root;
  }

  /**
   * Main method for testing this class
   *
   * @param String options
*/
/*  public static void main (String [] args){
      try{
         System.out.println(Evaluation.evaluateModel(new J48(), args));
      }
      catch (Exception e){
        System.out.println(e);
      }
  }
*/
}