Examples of weka.experiment.Experiment

weka.experiment.Experiment

Holds all the necessary configuration information for a standard type experiment. This object is able to be serialized for storage on disk. Valid options are:

 -L <num> The lower run number to start the experiment from. (default 1)

 -U <num> The upper run number to end the experiment at (inclusive). (default 10)

 -T <arff file> The dataset to run the experiment on. (required, may be specified multiple times)

 -P <class name> The full class name of a ResultProducer (required). eg: weka.experiment.RandomSplitResultProducer

 -D <class name> The full class name of a ResultListener (required). eg: weka.experiment.CSVResultListener

 -N <string> A string containing any notes about the experiment. (default none)

  Options specific to result producer weka.experiment.RandomSplitResultProducer:

 -P <percent> The percentage of instances to use for training. (default 66)

 -D Save raw split evaluator output.

 -O <file/directory name/path> The filename where raw output will be stored. If a directory name is specified then then individual outputs will be gzipped, otherwise all output will be zipped to the named file. Use in conjuction with -D. (default splitEvalutorOut.zip)

 -W <class name> The full class name of a SplitEvaluator. eg: weka.experiment.ClassifierSplitEvaluator

 -R Set when data is not to be randomized and the data sets' size. Is not to be determined via probabilistic rounding.

  Options specific to split evaluator weka.experiment.ClassifierSplitEvaluator:

 -W <class name> The full class name of the classifier. eg: weka.classifiers.bayes.NaiveBayes

 -C <index> The index of the class for which IR statistics are to be output. (default 1)

 -I <index> The index of an attribute to output in the results. This attribute should identify an instance in order to know which instances are in the test set of a cross validation. if 0 no output (default 0).

 -P Add target and prediction columns to the result for each fold.

  Options specific to classifier weka.classifiers.rules.ZeroR:

 -D If set, classifier is run in debug mode and may output additional info to the console

All options after -- will be passed to the result producer.

@author Len Trigg (trigg@cs.waikato.ac.nz) @version $Revision: 5401 $

    m_TabbedPane.setSelectedIndex(0);
    m_TabbedPane.setEnabledAt(1, false);
    m_SetupPanel.addPropertyChangeListener(new PropertyChangeListener() {
      public void propertyChange(PropertyChangeEvent e) {
  //System.err.println("Updated experiment");
  Experiment exp = m_SetupPanel.getExperiment();
  exp.classFirst(m_ClassFirst);
  m_RunPanel.setExperiment(exp);
  //m_ResultsPanel.setExperiment(exp);
  m_TabbedPane.setEnabledAt(1, true);
      }
    });

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      jf.pack();
      jf.setVisible(true);
      System.err.println(Messages.getInstance().getString("GeneratorPropertyIteratorPanel_Main_Error_Text_First"));
      Thread.currentThread().sleep(3000);
      System.err.println(Messages.getInstance().getString("GeneratorPropertyIteratorPanel_Main_Error_Text_Second"));
      gp.setExperiment(new Experiment());
    } catch (Exception ex) {
      ex.printStackTrace();
      System.err.println(ex.getMessage());
    }
  }

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    m_TabbedPane.setSelectedIndex(0);
    m_TabbedPane.setEnabledAt(1, false);
    m_SetupPanel.addPropertyChangeListener(new PropertyChangeListener() {
      public void propertyChange(PropertyChangeEvent e) {
  //System.err.println("Updated experiment");
  Experiment exp = m_SetupPanel.getExperiment();
  exp.classFirst(m_ClassFirst);
  m_RunPanel.setExperiment(exp);
  //m_ResultsPanel.setExperiment(exp);
  m_TabbedPane.setEnabledAt(1, true);
      }
    });

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      jf.pack();
      jf.setVisible(true);
      System.err.println("Short nap");
      Thread.currentThread().sleep(3000);
      System.err.println("Done");
      gp.setExperiment(new Experiment());
    } catch (Exception ex) {
      ex.printStackTrace();
      System.err.println(ex.getMessage());
    }
  }

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  });        


    m_NewBut.setMnemonic('N');
    m_NewBut.addActionListener(new ActionListener() {
      public void actionPerformed(ActionEvent e) {
  setExperiment(new Experiment());
      }
    });
    m_SaveBut.setMnemonic('S');
    m_SaveBut.setEnabled(false);
    m_SaveBut.addActionListener(new ActionListener() {

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      if (!expFile.getName().toLowerCase().endsWith(".xml"))
        expFile = new File(expFile.getParent(), expFile.getName() + ".xml");
    }
    
    try {
      Experiment exp; 
      
      // KOML?
      if ( (KOML.isPresent()) && (expFile.getAbsolutePath().toLowerCase().endsWith(KOML.FILE_EXTENSION)) ) {
         exp = (Experiment) KOML.read(expFile.getAbsolutePath());
      }

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      final boolean writeExp = Utils.getFlag('s', args);
      final String expFile = Utils.getOption('f', args);
      if ((readExp || writeExp) && (expFile.length() == 0)) {
  throw new Exception("A filename must be given with the -f option");
      }
      Experiment exp = null;
      if (readExp) {
  FileInputStream fi = new FileInputStream(expFile);
  ObjectInputStream oi = new ObjectInputStream(
             new BufferedInputStream(fi));
  exp = (Experiment)oi.readObject();
  oi.close();
      } else {
  exp = new Experiment();
      }
      System.err.println("Initial Experiment:\n" + exp.toString());
      final JFrame jf = new JFrame("Weka Experiment Setup");
      jf.getContentPane().setLayout(new BorderLayout());
      final SetupPanel sp = new SetupPanel();
      //sp.setBorder(BorderFactory.createTitledBorder("Setup"));
      jf.getContentPane().add(sp, BorderLayout.CENTER);

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  public static void main(String [] args) {


    try {
      final JFrame jf = new JFrame("Dataset List Editor");
      jf.getContentPane().setLayout(new BorderLayout());
      jf.getContentPane().add(new RunNumberPanel(new Experiment()),
            BorderLayout.CENTER);
      jf.addWindowListener(new WindowAdapter() {
  public void windowClosing(WindowEvent e) {
    jf.dispose();
    System.exit(0);

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      jf.pack();
      jf.setVisible(true);
      System.err.println("Short nap");
      Thread.currentThread().sleep(3000);
      System.err.println("Done");
      dp.setExperiment(new Experiment());
    } catch (Exception ex) {
      ex.printStackTrace();
      System.err.println(ex.getMessage());
    }
  }

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    * @param o the object that is serialized into XML
    * @throws Exception if post-processing fails
    */
   protected void writePostProcess(Object o) throws Exception {
      Element              node;
      Experiment           exp;


      exp = (Experiment) o;
      
      // classfirst
      node = addElement(m_Document.getDocument().getDocumentElement(), NAME_CLASSFIRST, Boolean.class.getName(), false);

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