resultspanel.java

MacroWeka扩展了著名数据挖掘工具weka

				       + "Reason:\n" + ex.getMessage(),
				       "Load Instances",
				       0,
				       JOptionPane.ERROR_MESSAGE,
				       null,
				       new String[] {"OK"},
				       null) == 1) {
	
      }
    }  
  }
  
  /**
   * Returns a vector with column names of the dataset, listed in "list". If
   * a column cannot be found or the list is empty the ones from the default 
   * list are returned. 
   * 
   * @param list           comma-separated list of attribute names
   * @param defaultList    the default list of attribute names
   * @param inst           the instances to get the attribute names from
   * @return               a vector containing attribute names
   */
  protected Vector determineColumnNames(String list, String defaultList, Instances inst) {
    Vector              result;
    Vector              atts;
    StringTokenizer     tok;
    int                 i;
    String              item;
    
    // get attribute names
    atts = new Vector();
    for (i = 0; i < inst.numAttributes(); i++)
      atts.add(inst.attribute(i).name().toLowerCase());

    // process list
    result = new Vector();
    tok = new StringTokenizer(list, ",");
    while (tok.hasMoreTokens()) {
      item = tok.nextToken().toLowerCase();
      if (atts.contains(item)) {
        result.add(item);
      }
      else {
        result.clear();
        break;
      }
    }
    
    // do we have to return defaults?
    if (result.size() == 0) {
      tok = new StringTokenizer(defaultList, ",");
      while (tok.hasMoreTokens())
        result.add(tok.nextToken().toLowerCase());
    }
    
    return result;
  }

  /**
   * Sets up the panel with a new set of instances, attempting
   * to guess the correct settings for various columns.
   *
   * @param newInstances the new set of results.
   */
  public void setInstances(Instances newInstances) {

    m_Instances = newInstances;
    m_TTester.setInstances(m_Instances);
    m_FromLab.setText("Got " + m_Instances.numInstances() + " results");
    
    // setup row and column names
    Vector rows = determineColumnNames(
        ExperimenterDefaults.getRow(), "Key_Dataset", m_Instances);
    Vector cols = determineColumnNames(
        ExperimenterDefaults.getColumn(), "Key_Scheme,Key_Scheme_options,Key_Scheme_version_ID", m_Instances);
    
    // Do other stuff
    m_DatasetKeyModel.removeAllElements();
    m_ResultKeyModel.removeAllElements();
    m_CompareModel.removeAllElements();
    String selectedList = "";
    String selectedListDataset = "";
    boolean comparisonFieldSet = false; 
    for (int i = 0; i < m_Instances.numAttributes(); i++) {
      String name = m_Instances.attribute(i).name();
      if (name.toLowerCase().startsWith("key_", 0)) {
	m_DatasetKeyModel.addElement(name.substring(4));
	m_ResultKeyModel.addElement(name.substring(4));
	m_CompareModel.addElement(name.substring(4));
      } else {
	m_DatasetKeyModel.addElement(name);
	m_ResultKeyModel.addElement(name);
	m_CompareModel.addElement(name);
      }

      if (rows.contains(name.toLowerCase())) {
	m_DatasetKeyList.addSelectionInterval(i, i);
	selectedListDataset += "," + (i + 1);
      } else if (name.toLowerCase().equals("key_run")) {
	m_TTester.setRunColumn(i);
      } else if (name.toLowerCase().equals("key_fold")) {
	m_TTester.setFoldColumn(i);
      } else if (cols.contains(name.toLowerCase())) {
	m_ResultKeyList.addSelectionInterval(i, i);
	selectedList += "," + (i + 1);
      } else if (name.toLowerCase().indexOf(ExperimenterDefaults.getComparisonField()) != -1) {
	m_CompareCombo.setSelectedIndex(i);
	comparisonFieldSet = true;
	//	break;
      } else if ((name.toLowerCase().indexOf("root_relative_squared_error") != -1) &&
          (!comparisonFieldSet)) {
	m_CompareCombo.setSelectedIndex(i);
	comparisonFieldSet = true;
      }
    }
    m_DatasetKeyBut.setEnabled(true);
    m_ResultKeyBut.setEnabled(true);
    m_CompareCombo.setEnabled(true);

    Range generatorRange = new Range();
    if (selectedList.length() != 0) {
      try {
	generatorRange.setRanges(selectedList);
      } catch (Exception ex) {
	ex.printStackTrace();
	System.err.println(ex.getMessage());
      }
    }
    m_TTester.setResultsetKeyColumns(generatorRange);

    generatorRange = new Range();
    if (selectedListDataset.length() != 0) {
      try {
	generatorRange.setRanges(selectedListDataset);
      } catch (Exception ex) {
	ex.printStackTrace();
	System.err.println(ex.getMessage());
      }
    }
    m_TTester.setDatasetKeyColumns(generatorRange);

    m_SigTex.setEnabled(true);

    setTTester();
  }

  /**
   * Updates the test chooser with possible tests
   */
  protected void setTTester() {
    
    // default is to display all columns
    m_TTester.setDisplayedResultsets(null);       

    String name = (new SimpleDateFormat("HH:mm:ss - "))
      .format(new Date())
      + "Available resultsets";
    StringBuffer outBuff = new StringBuffer();
    outBuff.append("Available resultsets\n"
		   + m_TTester.resultsetKey() + "\n\n");
    m_History.addResult(name, outBuff);
    m_History.setSingle(name);

    m_TestsModel.removeAllElements();
    for (int i = 0; i < m_TTester.getNumResultsets(); i++) {
      String tname = m_TTester.getResultsetName(i);
      /*      if (tname.length() > 20) {
	tname = tname.substring(0, 20);
	} */
      m_TestsModel.addElement(tname);
    }
    
    m_DisplayedModel.removeAllElements();
    for (int i = 0; i < m_TestsModel.size(); i++)
      m_DisplayedModel.addElement(m_TestsModel.elementAt(i));
    
    m_TestsModel.addElement("Summary");
    m_TestsModel.addElement("Ranking");

    m_TestsList.setSelectedIndex(0);
    m_DisplayedList.setSelectionInterval(0, m_DisplayedModel.size() - 1);
    
    m_TestsButton.setEnabled(true);
    m_DisplayedButton.setEnabled(true);
    m_ShowStdDevs.setEnabled(true);
    m_OutputFormatButton.setEnabled(true);
    m_PerformBut.setEnabled(true);
    
  }

  
  /**
   * Carries out a t-test using the current configuration.
   */
  protected void performTest() {

    String sigStr = m_SigTex.getText();
    if (sigStr.length() != 0) {
      m_TTester.setSignificanceLevel((new Double(sigStr)).doubleValue());
    } else {
      m_TTester.setSignificanceLevel(ExperimenterDefaults.getSignificance());
    }

    // Carry out the test chosen and biff the results to the output area
    m_TTester.setShowStdDevs(m_ShowStdDevs.isSelected());
    int compareCol = m_CompareCombo.getSelectedIndex();
    int tType = m_TestsList.getSelectedIndex();

    String name = (new SimpleDateFormat("HH:mm:ss - "))
      .format(new Date())
      + (String) m_CompareCombo.getSelectedItem() + " - "
      + (String) m_TestsList.getSelectedValue();
    StringBuffer outBuff = new StringBuffer();
    outBuff.append(m_TTester.header(compareCol));
    outBuff.append("\n");
    m_History.addResult(name, outBuff);
    m_History.setSingle(name);
    m_TTester.setDisplayedResultsets(m_DisplayedList.getSelectedIndices());
    m_TTester.setMeanPrec(m_MeanPrec);
    m_TTester.setStdDevPrec(m_StdDevPrec);
    m_TTester.setProduceLatex(m_latexOutput);
    m_TTester.setProduceCSV(m_csvOutput);
    try {
      if (tType < m_TTester.getNumResultsets()) {
	outBuff.append(m_TTester.multiResultsetFull(tType, compareCol));
      } else if (tType == m_TTester.getNumResultsets()) {
	outBuff.append(m_TTester.multiResultsetSummary(compareCol));
      } else {
	outBuff.append(m_TTester.multiResultsetRanking(compareCol));
      }
      outBuff.append("\n");
    } catch (Exception ex) {
      outBuff.append(ex.getMessage() + "\n");
    }
    m_History.updateResult(name);
  }

  
  public void setResultKeyFromDialog() {

    ListSelectorDialog jd = new ListSelectorDialog(null, m_ResultKeyList);

    // Open the dialog
    int result = jd.showDialog();
    
    // If accepted, update the ttester
    if (result == ListSelectorDialog.APPROVE_OPTION) {
      int [] selected = m_ResultKeyList.getSelectedIndices();
      String selectedList = "";
      for (int i = 0; i < selected.length; i++) {
	selectedList += "," + (selected[i] + 1);
      }
      Range generatorRange = new Range();
      if (selectedList.length() != 0) {
	try {
	  generatorRange.setRanges(selectedList);
	} catch (Exception ex) {
	  ex.printStackTrace();
	  System.err.println(ex.getMessage());
	}
      }
      m_TTester.setResultsetKeyColumns(generatorRange);
      setTTester();
    }
  }
  
  public void setDatasetKeyFromDialog() {

    ListSelectorDialog jd = new ListSelectorDialog(null, m_DatasetKeyList);

    // Open the dialog
    int result = jd.showDialog();
    
    // If accepted, update the ttester
    if (result == ListSelectorDialog.APPROVE_OPTION) {
      int [] selected = m_DatasetKeyList.getSelectedIndices();
      String selectedList = "";
      for (int i = 0; i < selected.length; i++) {
	selectedList += "," + (selected[i] + 1);
      }
      Range generatorRange = new Range();
      if (selectedList.length() != 0) {
	try {
	  generatorRange.setRanges(selectedList);
	} catch (Exception ex) {
	  ex.printStackTrace();
	  System.err.println(ex.getMessage());
	}
      }
      m_TTester.setDatasetKeyColumns(generatorRange);
      setTTester();
    }
  }

  public void setTestBaseFromDialog() {
    ListSelectorDialog jd = new ListSelectorDialog(null, m_TestsList);

    // Open the dialog
    jd.showDialog();
  }

  public void setDisplayedFromDialog() {
    ListSelectorDialog jd = new ListSelectorDialog(null, m_DisplayedList);

    // Open the dialog
    jd.showDialog();
  }
  
  /**
   * displays the Dialog for the output format and sets the chosen settings, 
   * if the user approves
   */
  public void setOutputFormatFromDialog() {
    OutputFormatDialog dialog = new OutputFormatDialog(null);
    
    dialog.setProduceLatex(m_latexOutput);
    dialog.setProduceCSV(m_csvOutput);
    dialog.setMeanPrec(m_MeanPrec);
    dialog.setStdDevPrec(m_StdDevPrec);
    
    if (dialog.showDialog() == OutputFormatDialog.APPROVE_OPTION) {
      m_latexOutput = dialog.getProduceLatex();
      m_csvOutput   = dialog.getProduceCSV();
      m_MeanPrec    = dialog.getMeanPrec();
      m_StdDevPrec  = dialog.getStdDevPrec();
    }
  }

  /**
   * Save the currently selected result buffer to a file.
   */
  protected void saveBuffer() {
    StringBuffer sb = m_History.getSelectedBuffer();
    if (sb != null) {
      if (m_SaveOut.save(sb)) {
	JOptionPane.showMessageDialog(this,
				      "File saved",
				      "Results",
				      JOptionPane.INFORMATION_MESSAGE);
      }
    } else {
      m_SaveOutBut.setEnabled(false);
    }
  }
  
  /**
   * Tests out the results panel from the command line.
   *
   * @param args ignored
   */
  public static void main(String [] args) {

    try {
      final JFrame jf = new JFrame("Weka Experiment: Results Analysis");
      jf.getContentPane().setLayout(new BorderLayout());
      final ResultsPanel sp = new ResultsPanel();
      //sp.setBorder(BorderFactory.createTitledBorder("Setup"));
      jf.getContentPane().add(sp, BorderLayout.CENTER);
      jf.addWindowListener(new WindowAdapter() {
	public void windowClosing(WindowEvent e) {
	  jf.dispose();
	  System.exit(0);
	}
      });
      jf.pack();
      jf.setSize(700, 550);
      jf.setVisible(true);
    } catch (Exception ex) {
      ex.printStackTrace();
      System.err.println(ex.getMessage());
    }
  }
}