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 $

    * @return the processed object
    * @throws Exception if post-processing fails
    */
   protected Object readPostProcess(Object o) throws Exception {
      Element              node;
      Experiment           exp;
      int                  i;
      Vector               children;


      exp = (Experiment) o;
      
      // classfirst
      children = XMLDocument.getChildTags(m_Document.getDocument().getDocumentElement());
      for (i = 0; i < children.size(); i++) {
         node = (Element) children.get(i);
         if (node.getAttribute(ATT_NAME).equals(NAME_CLASSFIRST)) {
            exp.classFirst(new Boolean(XMLDocument.getContent(node)).booleanValue());
            break;
         }
      }
      
      return o;

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   */
  public static void main(String [] args) {
    try {
      final JFrame jf = new JFrame("DistributeExperiment");
      jf.getContentPane().setLayout(new BorderLayout());
      jf.getContentPane().add(new DistributeExperimentPanel(new Experiment()),
            BorderLayout.CENTER);
      jf.addWindowListener(new WindowAdapter() {
  public void windowClosing(WindowEvent e) {
    jf.dispose();
    System.exit(0);

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      boolean readExp = Utils.getFlag('l', args);
      final String expFile = Utils.getOption('f', args);
      if (readExp && (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));
  Object to = oi.readObject();
  if (to instanceof RemoteExperiment) {
    exp = (RemoteExperiment)to;
  } else {
    exp = (Experiment)to;
  }
  oi.close();
      } else {
  exp = new Experiment();
      }
      System.err.println("Initial Experiment:\n" + exp.toString());
      final JFrame jf = new JFrame("Run Weka Experiment");
      jf.getContentPane().setLayout(new BorderLayout());
      final RunPanel sp = new RunPanel(exp);
      //sp.setBorder(BorderFactory.createTitledBorder("Setup"));
      jf.getContentPane().add(sp, BorderLayout.CENTER);

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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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    // create action listeners
    m_NewBut.setMnemonic('N');
    m_NewBut.addActionListener(new ActionListener() {
  public void actionPerformed(ActionEvent e) {
    Experiment newExp = new Experiment();
    CrossValidationResultProducer cvrp = new CrossValidationResultProducer();
    cvrp.setNumFolds(10);
    cvrp.setSplitEvaluator(new ClassifierSplitEvaluator());
    newExp.setResultProducer(cvrp);
    newExp.setPropertyArray(new Classifier[0]);
    newExp.setUsePropertyIterator(true);
    setExperiment(newExp);


          // defaults
          if (ExperimenterDefaults.getUseClassification())
            m_ExpClassificationRBut.setSelected(true);

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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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      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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  });        


    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 = Experiment.read(expFile.getAbsolutePath());
      setExperiment(exp);
      System.err.println("Opened experiment:\n" + m_Exp);
    } catch (Exception ex) {
      ex.printStackTrace();
      JOptionPane.showMessageDialog(this, "Couldn't open experiment file:\n"

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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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weka.core.FastVector

weka.core.Instances

weka.core.Option

weka.core.xml.XMLOptions

weka.experiment.xml.XMLExperiment

weka.gui.experiment.AlgorithmListPanel

weka.gui.experiment.DatasetListPanel

weka.gui.experiment.DistributeExperimentPanel

weka.gui.experiment.Experimenter

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