Example usage for weka.gui.visualize PlotData2D PlotData2D

List of usage examples for weka.gui.visualize PlotData2D PlotData2D

  1. HOME
  2. Java
  3. weka
  4. weka.gui.visualize.*
  5. PlotData2D
  6. PlotData2D

Introduction

In this page you can find the example usage for weka.gui.visualize PlotData2D PlotData2D.

Prototype

public PlotData2D(Instances insts)

Source Link

Document

Construct a new PlotData2D using the supplied instances

Usage

From source file:cyber009.main.UDAL.java

public void showData() {
    List<Attribute> atts = new ArrayList<>();
    Attribute[] att = new Attribute[v.N + 2];
    for (int i = 0; i <= v.N; i++) {
        att[i] = new Attribute("X" + i);
        atts.add(att[i]);/*from  w ww. j  a  va  2s.  c om*/
    }
    List<String> classValus = new ArrayList<>();
    classValus.add("1.0");
    classValus.add("0.0");
    att[v.N + 1] = new Attribute("class", classValus);
    atts.add(att[v.N + 1]);
    Instances dataSet = new Instances("Syn Data", (ArrayList<Attribute>) atts, v.D);

    for (int d = 0; d < v.D; d++) {
        Instance ins = new DenseInstance(v.N + 2);
        for (int i = 0; i <= v.N; i++) {
            ins.setValue(atts.get(i), v.X[d][i]);
        }
        ins.setValue(atts.get(v.N + 1), v.TARGET[d]);
        dataSet.add(ins);
    }
    //System.out.println(dataSet);
    PlotData2D p2D = new PlotData2D(dataSet);
    p2D.setPlotName("Syn data");
    VisualizePanel vp = new VisualizePanel();
    vp.setName("Show Data");
    try {
        vp.addPlot(p2D);

        JFrame frame = new JFrame("Show Data");
        frame.setSize(600, 600);
        frame.setVisible(true);
        frame.getContentPane().setLayout(new BorderLayout());
        frame.getContentPane().add(vp, BorderLayout.CENTER);
        frame.setDefaultCloseOperation(JFrame.EXIT_ON_CLOSE);
        frame.setVisible(true);
        func.showCoefficients();
    } catch (Exception ex) {
        Logger.getLogger(MainSyntacticData.class.getName()).log(Level.SEVERE, null, ex);
    }

}

From source file:cyber009.main.UDALNeuralNetwork.java

public void showData() {
    //System.out.println(dataSet);
    PlotData2D p2D = new PlotData2D(dataSet);
    p2D.setPlotName("Syn data");
    VisualizePanel vp = new VisualizePanel();
    vp.setName("Show Data");
    try {//from   ww  w.ja  va2s . c o m
        vp.addPlot(p2D);

        JFrame frame = new JFrame("Show Data");
        frame.setSize(600, 600);
        frame.setVisible(true);
        frame.getContentPane().setLayout(new BorderLayout());
        frame.getContentPane().add(vp, BorderLayout.CENTER);
        frame.setDefaultCloseOperation(JFrame.EXIT_ON_CLOSE);
        frame.setVisible(true);
        func.showCoefficients();
    } catch (Exception ex) {
        Logger.getLogger(MainSyntacticData.class.getName()).log(Level.SEVERE, null, ex);
    }

}

From source file:cyber009.udal.mains.WekaUDAL.java

public void showPlot(Instances dataSet) {
    PlotData2D p2D = new PlotData2D(dataSet);
    p2D.setPlotName(dataSet.relationName());
    VisualizePanel vp = new VisualizePanel();
    vp.setName(dataSet.relationName());/*from ww  w .  ja  va 2s  .  c  o  m*/
    try {
        vp.addPlot(p2D);
        JFrame frame = new JFrame(dataSet.relationName());
        frame.setSize(600, 600);
        frame.setVisible(true);
        frame.getContentPane().setLayout(new BorderLayout());
        frame.getContentPane().add(vp, BorderLayout.CENTER);
        frame.setDefaultCloseOperation(JFrame.EXIT_ON_CLOSE);
        frame.setVisible(true);
    } catch (Exception ex) {
        Logger.getLogger(WekaUDAL.class.getName()).log(Level.SEVERE, null, ex);
    }
}

From source file:meka.gui.explorer.classify.AbstractShowThresholdCurve.java

License:Open Source License

/**
 * Creates a panel displaying the ROC data.
 *
 * @param data          the threshold curve data
 * @param title         the title of the plot
 * @return              the panel/*from w  w w.j  a  va2s  . co m*/
 * @throws Exception    if plot generation fails
 */
protected ThresholdVisualizePanel createPanel(Instances data, String title) throws Exception {
    ThresholdVisualizePanel result = new ThresholdVisualizePanel();
    PlotData2D plot = new PlotData2D(data);
    plot.setPlotName(title);
    plot.m_displayAllPoints = true;
    boolean[] connectPoints = new boolean[data.numInstances()];
    for (int cp = 1; cp < connectPoints.length; cp++)
        connectPoints[cp] = true;
    plot.setConnectPoints(connectPoints);
    result.addPlot(plot);
    setComboBoxIndices(data, result);
    return result;
}

From source file:meka.gui.explorer.classify.IncrementalPerformance.java

License:Open Source License

/**
 * Creates a panel displaying the data.//ww  w  . ja v  a  2s .  c o  m
 *
 * @param data          the plot data
 * @return              the panel
 * @throws Exception    if plot generation fails
 */
protected VisualizePanel createPanel(Instances data) throws Exception {
    VisualizePanel result = new ThresholdVisualizePanel();
    PlotData2D plot = new PlotData2D(data);
    plot.setPlotName("Incremental performance");
    plot.m_displayAllPoints = true;
    boolean[] connectPoints = new boolean[data.numInstances()];
    for (int cp = 1; cp < connectPoints.length; cp++)
        connectPoints[cp] = true;
    plot.setConnectPoints(connectPoints);
    result.addPlot(plot);
    if (data.attribute(SAMPLES) != null)
        result.setXIndex(data.attribute(SAMPLES).index());
    if (data.attribute(ACCURACY) != null)
        result.setYIndex(data.attribute(ACCURACY).index());
    return result;
}

From source file:meka.gui.explorer.classify.ShowMacroCurve.java

License:Open Source License

/**
 * Creates a panel displaying the data.//from   w  w w  .jav  a 2 s . co m
 *
 * @param data          the plot data
 * @return              the panel
 * @throws Exception    if plot generation fails
 */
protected VisualizePanel createPanel(Instances data) throws Exception {
    VisualizePanel result = new ThresholdVisualizePanel();
    PlotData2D plot = new PlotData2D(data);
    plot.setPlotName("Macro-averaged Performance");
    plot.m_displayAllPoints = true;
    boolean[] connectPoints = new boolean[data.numInstances()];
    for (int cp = 1; cp < connectPoints.length; cp++)
        connectPoints[cp] = true;
    plot.setConnectPoints(connectPoints);
    result.addPlot(plot);
    if (data.attribute(SAMPLES) != null)
        result.setXIndex(data.attribute(SAMPLES).index());
    if (data.attribute(ACCURACY) != null)
        result.setYIndex(data.attribute(ACCURACY).index());
    return result;
}

From source file:meka.gui.explorer.classify.ShowMicroCurve.java

License:Open Source License

/**
 * Creates a panel displaying the data.//ww w.  j a  va2 s  . com
 *
 * @param data          the plot data
 * @return              the panel
 * @throws Exception    if plot generation fails
 */
protected VisualizePanel createPanel(Instances data) throws Exception {
    VisualizePanel result = new ThresholdVisualizePanel();
    PlotData2D plot = new PlotData2D(data);
    plot.setPlotName("Micro-averaged Performance");
    plot.m_displayAllPoints = true;
    boolean[] connectPoints = new boolean[data.numInstances()];
    for (int cp = 1; cp < connectPoints.length; cp++)
        connectPoints[cp] = true;
    plot.setConnectPoints(connectPoints);
    result.addPlot(plot);
    if (data.attribute(SAMPLES) != null)
        result.setXIndex(data.attribute(SAMPLES).index());
    if (data.attribute(ACCURACY) != null)
        result.setYIndex(data.attribute(ACCURACY).index());
    return result;
}

From source file:meka.gui.guichooser.PrecisionRecallCurve.java

License:Open Source License

/**
 * Called by the menu items action listener.
 *//*  w w w.  j a v a 2s .c om*/
@Override
protected void launch() {
    m_FileChooser = GUIHelper.newConverterFileChooser();
    // choose file
    int retVal = m_FileChooser.showOpenDialog(null);
    if (retVal != JFileChooser.APPROVE_OPTION)
        return;
    File file = m_FileChooser.getSelectedFile();

    // create plot
    Instances data;
    try {
        data = m_FileChooser.getLoader().getDataSet();
    } catch (Exception e) {
        JOptionPane.showMessageDialog(null, "Error loading file '" + file + "':\n" + e, "Error",
                JOptionPane.ERROR_MESSAGE);
        e.printStackTrace();
        return;
    }
    data.setClassIndex(data.numAttributes() - 1);
    ThresholdVisualizePanel vmc = new ThresholdVisualizePanel();
    vmc.setROCString("(Area under PRC = " + Utils.doubleToString(ThresholdCurve.getPRCArea(data), 4) + ")");
    vmc.setName(data.relationName());
    PlotData2D tempd = new PlotData2D(data);
    tempd.setPlotName(data.relationName());
    tempd.m_displayAllPoints = true;
    // specify which points are connected
    boolean[] cp = new boolean[data.numInstances()];
    for (int n = 1; n < cp.length; n++)
        cp[n] = true;
    try {
        tempd.setConnectPoints(cp);
        vmc.addPlot(tempd);
        if (data.attribute(ThresholdCurve.RECALL_NAME) != null)
            vmc.setXIndex(data.attribute(ThresholdCurve.RECALL_NAME).index());
        if (data.attribute(ThresholdCurve.PRECISION_NAME) != null)
            vmc.setYIndex(data.attribute(ThresholdCurve.PRECISION_NAME).index());
    } catch (Exception e) {
        JOptionPane.showMessageDialog(null, "Error adding plot:\n" + e, "Error", JOptionPane.ERROR_MESSAGE);
        e.printStackTrace();
        return;
    }

    MekaFrame frame = new MekaFrame();
    frame.setTitle(getName());
    frame.setDefaultCloseOperation(MekaFrame.DISPOSE_ON_CLOSE);
    frame.getContentPane().setLayout(new BorderLayout());
    frame.getContentPane().add(vmc);
    frame.setSize(800, 600);
    frame.setLocationRelativeTo(null);
    frame.setVisible(true);
}

From source file:meka.gui.guichooser.ROC.java

License:Open Source License

/**
 * Called by the menu items action listener.
 *//*from   w w w  .j  a v a  2  s.  c o m*/
@Override
protected void launch() {
    m_FileChooser = GUIHelper.newConverterFileChooser();
    // choose file
    int retVal = m_FileChooser.showOpenDialog(null);
    if (retVal != JFileChooser.APPROVE_OPTION)
        return;
    File file = m_FileChooser.getSelectedFile();

    // create plot
    Instances data;
    try {
        data = m_FileChooser.getLoader().getDataSet();
    } catch (Exception e) {
        JOptionPane.showMessageDialog(null, "Error loading file '" + file + "':\n" + e, "Error",
                JOptionPane.ERROR_MESSAGE);
        e.printStackTrace();
        return;
    }
    data.setClassIndex(data.numAttributes() - 1);
    ThresholdVisualizePanel vmc = new ThresholdVisualizePanel();
    vmc.setROCString("(Area under ROC = " + Utils.doubleToString(ThresholdCurve.getROCArea(data), 4) + ")");
    vmc.setName(data.relationName());
    PlotData2D tempd = new PlotData2D(data);
    tempd.setPlotName(data.relationName());
    tempd.m_displayAllPoints = true;
    // specify which points are connected
    boolean[] cp = new boolean[data.numInstances()];
    for (int n = 1; n < cp.length; n++)
        cp[n] = true;
    try {
        tempd.setConnectPoints(cp);
        vmc.addPlot(tempd);
        if (data.attribute(ThresholdCurve.FP_RATE_NAME) != null)
            vmc.setXIndex(data.attribute(ThresholdCurve.FP_RATE_NAME).index());
        if (data.attribute(ThresholdCurve.TP_RATE_NAME) != null)
            vmc.setYIndex(data.attribute(ThresholdCurve.TP_RATE_NAME).index());
    } catch (Exception e) {
        JOptionPane.showMessageDialog(null, "Error adding plot:\n" + e, "Error", JOptionPane.ERROR_MESSAGE);
        e.printStackTrace();
        return;
    }

    MekaFrame frame = new MekaFrame();
    frame.setTitle(getName());
    frame.setDefaultCloseOperation(MekaFrame.DISPOSE_ON_CLOSE);
    frame.getContentPane().setLayout(new BorderLayout());
    frame.getContentPane().add(vmc);
    frame.setSize(800, 600);
    frame.setLocationRelativeTo(null);
    frame.setVisible(true);
}

From source file:milk.visualize.MIPlot2D.java

License:Open Source License

/**
 * Sets the plot vectors from a set of exemplars
 * @param added the exemplars/*from   w w w  .  jav a  2s  .co  m*/
 * @exception exception Exception if plots could not be set
 */
public void setPlotExemplars(Exemplars added) throws Exception {
    super.removeAllPlots(); // Set xIndex, yIndex and cIndex to 0   
    if (added == null) {
        plotExemplars = null;
        setEnabled(false);
        return;
    }

    plotExemplars = new Exemplars(added);
    int cIndex = plotExemplars.classIndex();

    for (int i = 0; i < plotExemplars.numExemplars(); i++) {
        Exemplar ex = plotExemplars.exemplar(i);
        Instances insts = ex.getInstances();
        PlotData2D tmp = new PlotData2D(insts);
        int num = insts.numInstances();
        int[] shapes = new int[num];
        int[] sizes = new int[num];
        for (int j = 0; j < num; j++) {
            shapes[j] = Plot2D.X_SHAPE;
            sizes[j] = Plot2D.DEFAULT_SHAPE_SIZE;
        }

        tmp.setShapeType(shapes);
        tmp.setShapeSize(sizes);
        tmp.m_useCustomColour = false;
        tmp.setCindex(cIndex);
        tmp.setPlotName(Integer.toString((int) ex.idValue()));
        addPlot(tmp); // determineBound() involved
    }
    // Reset
    if (x != null)
        setXValue(x);
    if (y != null)
        setYValue(y);
    m_cIndex = cIndex;
    if (!Double.isNaN(maxC))
        m_maxC = maxC;
    if (!Double.isNaN(minC))
        m_minC = minC;
}