Example usage for weka.gui.visualize PlotData2D setConnectPoints

Introduction

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

Prototype

public void setConnectPoints(ArrayList<Boolean> cp) throws Exception 

Source Link

Document

Set whether consecutive points should be connected by lines

Usage

From source file:TextClassifierUI.java

private void setVMC(FastVector predictions, ThresholdVisualizePanel vmc, boolean masterPlot) {
    try {//ww  w  . j  a  v  a 2s  . c o m
        ThresholdCurve tc = new ThresholdCurve();
        Instances result = tc.getCurve(predictions);
        // method visualize
        PlotData2D tempd = new PlotData2D(result);
        tempd.setPlotName(result.relationName());
        tempd.addInstanceNumberAttribute();
        // specify which points are connected
        boolean[] cp = new boolean[result.numInstances()];
        for (int n = 1; n < cp.length; n++) {
            cp[n] = true;
        }
        tempd.setConnectPoints(cp);
        // add plot
        if (masterPlot) {
            vmc.setMasterPlot(tempd);
        } else {
            vmc.addPlot(tempd);
        }
    } catch (Exception ex) {
        System.err.println("Failed to set VMC");
        ex.printStackTrace();
    }
}

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From source file:adams.flow.sink.WekaCostBenefitAnalysis.java

License:Open Source License

/**
 * Plots the token (the panel and dialog have already been created at
 * this stage)./*from w  ww  .ja  v  a 2s  . co  m*/
 *
 * @param token   the token to display
 */
@Override
protected void display(Token token) {
    Evaluation eval;
    Attribute classAtt;
    Attribute classAttToUse;
    int classValue;
    ThresholdCurve tc;
    Instances result;
    ArrayList<String> newNames;
    CostBenefitAnalysis cbAnalysis;
    PlotData2D tempd;
    boolean[] cp;
    int n;

    try {
        if (token.getPayload() instanceof WekaEvaluationContainer)
            eval = (Evaluation) ((WekaEvaluationContainer) token.getPayload())
                    .getValue(WekaEvaluationContainer.VALUE_EVALUATION);
        else
            eval = (Evaluation) token.getPayload();
        if (eval.predictions() == null) {
            getLogger().severe("No predictions available from Evaluation object!");
            return;
        }
        classAtt = eval.getHeader().classAttribute();
        m_ClassIndex.setData(classAtt);
        classValue = m_ClassIndex.getIntIndex();
        tc = new ThresholdCurve();
        result = tc.getCurve(eval.predictions(), classValue);

        // Create a dummy class attribute with the chosen
        // class value as index 0 (if necessary).
        classAttToUse = eval.getHeader().classAttribute();
        if (classValue != 0) {
            newNames = new ArrayList<>();
            newNames.add(classAtt.value(classValue));
            for (int k = 0; k < classAtt.numValues(); k++) {
                if (k != classValue)
                    newNames.add(classAtt.value(k));
            }
            classAttToUse = new Attribute(classAtt.name(), newNames);
        }
        // assemble plot data
        tempd = new PlotData2D(result);
        tempd.setPlotName(result.relationName());
        tempd.m_alwaysDisplayPointsOfThisSize = 10;
        // specify which points are connected
        cp = new boolean[result.numInstances()];
        for (n = 1; n < cp.length; n++)
            cp[n] = true;
        tempd.setConnectPoints(cp);
        // add plot
        m_CostBenefitPanel.setCurveData(tempd, classAttToUse);
    } catch (Exception e) {
        handleException("Failed to display token: " + token, e);
    }
}

---

From source file:adams.flow.sink.WekaCostBenefitAnalysis.java

License:Open Source License

/**
 * Creates a new panel for the token.//from  w w w  .  ja  v a 2  s .  c om
 *
 * @param token   the token to display in a new panel, can be null
 * @return      the generated panel
 */
public AbstractDisplayPanel createDisplayPanel(Token token) {
    AbstractDisplayPanel result;
    String name;

    if (token != null)
        name = "Cost curve (" + getEvaluation(token).getHeader().relationName() + ")";
    else
        name = "Cost curve";

    result = new AbstractComponentDisplayPanel(name) {
        private static final long serialVersionUID = -3513994354297811163L;
        protected CostBenefitAnalysis m_VisualizePanel;

        @Override
        protected void initGUI() {
            super.initGUI();
            setLayout(new BorderLayout());
            m_VisualizePanel = new CostBenefitAnalysis();
            add(m_VisualizePanel, BorderLayout.CENTER);
        }

        @Override
        public void display(Token token) {
            try {
                Evaluation eval = getEvaluation(token);
                Attribute classAtt = eval.getHeader().classAttribute();
                m_ClassIndex.setData(classAtt);
                int classValue = m_ClassIndex.getIntIndex();
                ThresholdCurve tc = new ThresholdCurve();
                Instances result = tc.getCurve(eval.predictions(), classValue);

                // Create a dummy class attribute with the chosen
                // class value as index 0 (if necessary).
                Attribute classAttToUse = eval.getHeader().classAttribute();
                if (classValue != 0) {
                    ArrayList<String> newNames = new ArrayList<>();
                    newNames.add(classAtt.value(classValue));
                    for (int k = 0; k < classAtt.numValues(); k++) {
                        if (k != classValue)
                            newNames.add(classAtt.value(k));
                    }
                    classAttToUse = new Attribute(classAtt.name(), newNames);
                }
                // assemble plot data
                PlotData2D tempd = new PlotData2D(result);
                tempd.setPlotName(result.relationName());
                tempd.m_alwaysDisplayPointsOfThisSize = 10;
                // specify which points are connected
                boolean[] cp = new boolean[result.numInstances()];
                for (int n = 1; n < cp.length; n++)
                    cp[n] = true;
                tempd.setConnectPoints(cp);
                // add plot
                m_VisualizePanel.setCurveData(tempd, classAttToUse);
            } catch (Exception e) {
                getLogger().log(Level.SEVERE, "Failed to display token: " + token, e);
            }
        }

        @Override
        public JComponent supplyComponent() {
            return m_VisualizePanel;
        }

        @Override
        public void clearPanel() {
        }

        public void cleanUp() {
        }
    };

    if (token != null)
        result.display(token);

    return result;
}

---

From source file:adams.flow.sink.WekaCostCurve.java

License:Open Source License

/**
 * Plots the token (the panel and dialog have already been created at
 * this stage)./* ww  w . j  ava  2  s .  c o m*/
 *
 * @param token   the token to display
 */
@Override
protected void display(Token token) {
    weka.classifiers.evaluation.CostCurve curve;
    Evaluation eval;
    PlotData2D plot;
    boolean[] connectPoints;
    int cp;
    Instances data;
    int[] indices;

    try {
        if (token.getPayload() instanceof WekaEvaluationContainer)
            eval = (Evaluation) ((WekaEvaluationContainer) token.getPayload())
                    .getValue(WekaEvaluationContainer.VALUE_EVALUATION);
        else
            eval = (Evaluation) token.getPayload();
        if (eval.predictions() == null) {
            getLogger().severe("No predictions available from Evaluation object!");
            return;
        }
        m_ClassLabelRange.setData(eval.getHeader().classAttribute());
        indices = m_ClassLabelRange.getIntIndices();
        for (int index : indices) {
            curve = new weka.classifiers.evaluation.CostCurve();
            data = curve.getCurve(eval.predictions(), index);
            plot = new PlotData2D(data);
            plot.setPlotName(eval.getHeader().classAttribute().value(index));
            plot.m_displayAllPoints = true;
            connectPoints = new boolean[data.numInstances()];
            for (cp = 1; cp < connectPoints.length; cp++)
                connectPoints[cp] = true;
            plot.setConnectPoints(connectPoints);
            m_VisualizePanel.addPlot(plot);
        }
    } catch (Exception e) {
        handleException("Failed to display token: " + token, e);
    }
}

---

From source file:adams.flow.sink.WekaCostCurve.java

License:Open Source License

/**
 * Creates a new panel for the token.//from  w w w  . j a  v  a  2 s  . c  o m
 *
 * @param token   the token to display in a new panel, can be null
 * @return      the generated panel
 */
public AbstractDisplayPanel createDisplayPanel(Token token) {
    AbstractDisplayPanel result;
    String name;

    if (token != null)
        name = "Cost curve (" + getEvaluation(token).getHeader().relationName() + ")";
    else
        name = "Cost curve";

    result = new AbstractComponentDisplayPanel(name) {
        private static final long serialVersionUID = -3513994354297811163L;
        protected VisualizePanel m_VisualizePanel;

        @Override
        protected void initGUI() {
            super.initGUI();
            setLayout(new BorderLayout());
            m_VisualizePanel = new VisualizePanel();
            add(m_VisualizePanel, BorderLayout.CENTER);
        }

        @Override
        public void display(Token token) {
            try {
                Evaluation eval = getEvaluation(token);
                m_ClassLabelRange.setMax(eval.getHeader().classAttribute().numValues());
                int[] indices = m_ClassLabelRange.getIntIndices();
                for (int index : indices) {
                    weka.classifiers.evaluation.CostCurve curve = new weka.classifiers.evaluation.CostCurve();
                    Instances data = curve.getCurve(eval.predictions(), index);
                    PlotData2D plot = new PlotData2D(data);
                    plot.setPlotName(eval.getHeader().classAttribute().value(index));
                    plot.m_displayAllPoints = true;
                    boolean[] connectPoints = new boolean[data.numInstances()];
                    for (int cp = 1; cp < connectPoints.length; cp++)
                        connectPoints[cp] = true;
                    plot.setConnectPoints(connectPoints);
                    m_VisualizePanel.addPlot(plot);
                }
            } catch (Exception e) {
                getLogger().log(Level.SEVERE, "Failed to display token: " + token, e);
            }
        }

        @Override
        public JComponent supplyComponent() {
            return m_VisualizePanel;
        }

        @Override
        public void clearPanel() {
            m_VisualizePanel.removeAllPlots();
        }

        public void cleanUp() {
            m_VisualizePanel.removeAllPlots();
        }
    };

    if (token != null)
        result.display(token);

    return result;
}

---

From source file:adams.flow.sink.WekaMarginCurve.java

License:Open Source License

/**
 * Plots the token (the panel and dialog have already been created at
 * this stage)./*  w  w  w  .  ja  va  2  s  . c  om*/
 *
 * @param token   the token to display
 */
@Override
protected void display(Token token) {
    weka.classifiers.evaluation.MarginCurve curve;
    Evaluation eval;
    PlotData2D plot;
    boolean[] connectPoints;
    int cp;
    Instances data;

    try {
        if (token.getPayload() instanceof WekaEvaluationContainer)
            eval = (Evaluation) ((WekaEvaluationContainer) token.getPayload())
                    .getValue(WekaEvaluationContainer.VALUE_EVALUATION);
        else
            eval = (Evaluation) token.getPayload();
        if (eval.predictions() == null) {
            getLogger().severe("No predictions available from Evaluation object!");
            return;
        }
        curve = new weka.classifiers.evaluation.MarginCurve();
        data = curve.getCurve(eval.predictions());
        plot = new PlotData2D(data);
        plot.m_displayAllPoints = true;
        connectPoints = new boolean[data.numInstances()];
        for (cp = 1; cp < connectPoints.length; cp++)
            connectPoints[cp] = true;
        plot.setConnectPoints(connectPoints);
        m_VisualizePanel.addPlot(plot);
    } catch (Exception e) {
        handleException("Failed to display token: " + token, e);
    }
}

---

From source file:adams.flow.sink.WekaMarginCurve.java

License:Open Source License

/**
 * Creates a new panel for the token./*from  w  ww.ja  v  a  2 s  .  c  o  m*/
 *
 * @param token   the token to display in a new panel, can be null
 * @return      the generated panel
 */
public AbstractDisplayPanel createDisplayPanel(Token token) {
    AbstractDisplayPanel result;
    String name;

    if (token != null)
        name = "Margin curve (" + getEvaluation(token).getHeader().relationName() + ")";
    else
        name = "Margin curve";

    result = new AbstractComponentDisplayPanel(name) {
        private static final long serialVersionUID = -3513994354297811163L;
        protected VisualizePanel m_VisualizePanel;

        @Override
        protected void initGUI() {
            super.initGUI();
            setLayout(new BorderLayout());
            m_VisualizePanel = new VisualizePanel();
            add(m_VisualizePanel, BorderLayout.CENTER);
        }

        @Override
        public void display(Token token) {
            try {
                Evaluation eval = getEvaluation(token);
                weka.classifiers.evaluation.MarginCurve curve = new weka.classifiers.evaluation.MarginCurve();
                Instances data = curve.getCurve(eval.predictions());
                PlotData2D plot = new PlotData2D(data);
                plot.m_displayAllPoints = true;
                boolean[] connectPoints = new boolean[data.numInstances()];
                for (int cp = 1; cp < connectPoints.length; cp++)
                    connectPoints[cp] = true;
                plot.setConnectPoints(connectPoints);
                m_VisualizePanel.addPlot(plot);
            } catch (Exception e) {
                getLogger().log(Level.SEVERE, "Failed to display token: " + token, e);
            }
        }

        @Override
        public JComponent supplyComponent() {
            return m_VisualizePanel;
        }

        @Override
        public void clearPanel() {
            m_VisualizePanel.removeAllPlots();
        }

        public void cleanUp() {
            m_VisualizePanel.removeAllPlots();
        }
    };

    if (token != null)
        result.display(token);

    return result;
}

---

From source file:adams.flow.sink.WekaThresholdCurve.java

License:Open Source License

/**
 * Plots the token (the panel and dialog have already been created at
 * this stage)./*ww  w  . j a v  a 2s.c o  m*/
 *
 * @param token   the token to display
 */
@Override
protected void display(Token token) {
    ThresholdCurve curve;
    Evaluation eval;
    PlotData2D plot;
    boolean[] connectPoints;
    int cp;
    Instances data;
    int[] indices;

    try {
        if (token.getPayload() instanceof WekaEvaluationContainer)
            eval = (Evaluation) ((WekaEvaluationContainer) token.getPayload())
                    .getValue(WekaEvaluationContainer.VALUE_EVALUATION);
        else
            eval = (Evaluation) token.getPayload();
        if (eval.predictions() == null) {
            getLogger().severe("No predictions available from Evaluation object!");
            return;
        }
        m_ClassLabelRange.setData(eval.getHeader().classAttribute());
        indices = m_ClassLabelRange.getIntIndices();
        for (int index : indices) {
            curve = new ThresholdCurve();
            data = curve.getCurve(eval.predictions(), index);
            plot = new PlotData2D(data);
            plot.setPlotName(eval.getHeader().classAttribute().value(index));
            plot.m_displayAllPoints = true;
            connectPoints = new boolean[data.numInstances()];
            for (cp = 1; cp < connectPoints.length; cp++)
                connectPoints[cp] = true;
            plot.setConnectPoints(connectPoints);
            m_VisualizePanel.addPlot(plot);
            if (data.attribute(m_AttributeX.toDisplay()) != null)
                m_VisualizePanel.setXIndex(data.attribute(m_AttributeX.toDisplay()).index());
            if (data.attribute(m_AttributeY.toDisplay()) != null)
                m_VisualizePanel.setYIndex(data.attribute(m_AttributeY.toDisplay()).index());
        }
    } catch (Exception e) {
        handleException("Failed to display token: " + token, e);
    }
}

---

From source file:adams.flow.sink.WekaThresholdCurve.java

License:Open Source License

/**
 * Creates a new panel for the token./*from  w ww .  ja  va 2 s  .com*/
 *
 * @param token   the token to display in a new panel, can be null
 * @return      the generated panel
 */
public AbstractDisplayPanel createDisplayPanel(Token token) {
    AbstractDisplayPanel result;
    String name;

    if (token != null)
        name = "Threshold curve (" + getEvaluation(token).getHeader().relationName() + ")";
    else
        name = "Threshold curve";

    result = new AbstractComponentDisplayPanel(name) {
        private static final long serialVersionUID = -7362768698548152899L;
        protected ThresholdVisualizePanel m_VisualizePanel;

        @Override
        protected void initGUI() {
            super.initGUI();
            setLayout(new BorderLayout());
            m_VisualizePanel = new ThresholdVisualizePanel();
            add(m_VisualizePanel, BorderLayout.CENTER);
        }

        @Override
        public void display(Token token) {
            try {
                Evaluation eval = getEvaluation(token);
                m_ClassLabelRange.setMax(eval.getHeader().classAttribute().numValues());
                int[] indices = m_ClassLabelRange.getIntIndices();
                for (int index : indices) {
                    ThresholdCurve curve = new ThresholdCurve();
                    Instances data = curve.getCurve(eval.predictions(), index);
                    PlotData2D plot = new PlotData2D(data);
                    plot.setPlotName(eval.getHeader().classAttribute().value(index));
                    plot.m_displayAllPoints = true;
                    boolean[] connectPoints = new boolean[data.numInstances()];
                    for (int cp = 1; cp < connectPoints.length; cp++)
                        connectPoints[cp] = true;
                    plot.setConnectPoints(connectPoints);
                    m_VisualizePanel.addPlot(plot);
                    if (data.attribute(m_AttributeX.toDisplay()) != null)
                        m_VisualizePanel.setXIndex(data.attribute(m_AttributeX.toDisplay()).index());
                    if (data.attribute(m_AttributeY.toDisplay()) != null)
                        m_VisualizePanel.setYIndex(data.attribute(m_AttributeY.toDisplay()).index());
                }
            } catch (Exception e) {
                getLogger().log(Level.SEVERE, "Failed to display token: " + token, e);
            }
        }

        @Override
        public JComponent supplyComponent() {
            return m_VisualizePanel;
        }

        @Override
        public void clearPanel() {
            m_VisualizePanel.removeAllPlots();
        }

        public void cleanUp() {
            m_VisualizePanel.removeAllPlots();
        }
    };

    if (token != null)
        result.display(token);

    return result;
}

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From source file:adams.gui.menu.CostCurve.java

License:Open Source License

/**
 * Launches the functionality of the menu item.
 *///  w  w w .  j  a  v  a  2  s . c om
@Override
public void launch() {
    File file;
    if (m_Parameters.length == 0) {
        // choose file
        int retVal = m_FileChooser.showOpenDialog(null);
        if (retVal != JFileChooser.APPROVE_OPTION)
            return;
        file = m_FileChooser.getSelectedFile();
    } else {
        file = new PlaceholderFile(m_Parameters[0]).getAbsoluteFile();
        m_FileChooser.setSelectedFile(file);
    }

    // create plot
    Instances result;
    try {
        result = m_FileChooser.getLoader().getDataSet();
    } catch (Exception e) {
        GUIHelper.showErrorMessage(getOwner(),
                "Error loading file '" + file + "':\n" + adams.core.Utils.throwableToString(e));
        return;
    }
    result.setClassIndex(result.numAttributes() - 1);
    ThresholdVisualizePanel vmc = new ThresholdVisualizePanel();
    PlotData2D plot = new PlotData2D(result);
    plot.setPlotName(result.relationName());
    plot.m_displayAllPoints = true;
    boolean[] connectPoints = new boolean[result.numInstances()];
    for (int cp = 1; cp < connectPoints.length; cp++)
        connectPoints[cp] = true;
    try {
        plot.setConnectPoints(connectPoints);
        vmc.addPlot(plot);
    } catch (Exception e) {
        GUIHelper.showErrorMessage(getOwner(), "Error adding plot:\n" + adams.core.Utils.throwableToString(e));
        return;
    }

    ChildFrame frame = createChildFrame(vmc, GUIHelper.getDefaultDialogDimension());
    frame.setTitle(frame.getTitle() + " - " + file);
}

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