meka.gui.explorer.classify.ShowMacroCurve.java Source code

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Here is the source code for meka.gui.explorer.classify.ShowMacroCurve.java

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/*
 *   This program is free software: you can redistribute it and/or modify
 *   it under the terms of the GNU General Public License as published by
 *   the Free Software Foundation, either version 3 of the License, or
 *   (at your option) any later version.
 *
 *   This program is distributed in the hope that it will be useful,
 *   but WITHOUT ANY WARRANTY; without even the implied warranty of
 *   MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
 *   GNU General Public License for more details.
 *
 *   You should have received a copy of the GNU General Public License
 *   along with this program.  If not, see <http://www.gnu.org/licenses/>.
 */

/**
 * ShowPrecisionRecall.java
 * Copyright (C) 2015 University of Waikato, Hamilton, NZ
 */

package meka.gui.explorer.classify;

import meka.classifiers.multilabel.MultiLabelClassifier;
import meka.core.Result;
import meka.gui.core.ResultHistoryList;
import weka.classifiers.evaluation.ThresholdCurve;
import weka.core.Instances;
import weka.gui.visualize.PlotData2D;
import weka.gui.visualize.VisualizePanel;
import weka.gui.visualize.ThresholdVisualizePanel;

import javax.swing.*;
import java.awt.*;
import java.awt.event.ActionEvent;
import java.awt.event.ActionListener;

/**
 * Allows the user to display the precision recall curves per label.
 *
 * @author FracPete (fracpete at waikato dot ac dot nz)
 * @version $Revision$
 */
public class ShowMacroCurve extends AbstractClassifyResultHistoryPlugin {

    private static final long serialVersionUID = -1152575716154907544L;
    public static final String CURVE_DATA_MACRO = "Macro Curve Data";
    public static final String SAMPLES = "Samples";
    public static final String ACCURACY = "Accuracy";

    /**
     * Returns the group of the plugin. Used for the grouping the menu items.
     *
     * @return          the group
     */
    public String getGroup() {
        return "Visualization";
    }

    /**
     * Returns the name of the plugin. Used for the menu item text.
     *
     * @return          the name
     */
    @Override
    public String getName() {
        return "Show Macro-Averaged Curve";
    }

    /**
     * Returns the name of the default X column to display.
     *
     * @return              the name of the column
     */
    protected String getDefaultXColumn() {
        return ThresholdCurve.RECALL_NAME;
    }

    /**
     * Returns the name of the default Y column to display.
     *
     * @return              the name of the column
     */
    protected String getDefaultYColumn() {
        return ThresholdCurve.PRECISION_NAME;
    }

    /**
     * Checks whether the current item can be handled. Disables/enables the menu item.
     *
     * @param history   the current history
     * @param index     the selected history item
     * @return          true if can be handled
     */
    @Override
    public boolean handles(ResultHistoryList history, int index) {
        return (getClassifier(history, index) instanceof MultiLabelClassifier)
                && (history.getResultAt(index).getMeasurement(CURVE_DATA_MACRO) != null);
    }

    /**
     * Creates a panel displaying the data.
     *
     * @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;
    }

    /**
     * Returns the action lister to use in the menu.
     *
     * @param history   the current history
     * @param index     the selected history item
     * @return          the listener
     */
    @Override
    public ActionListener getActionListener(final ResultHistoryList history, final int index) {
        final Result result = history.getResultAt(index);

        return new ActionListener() {
            @Override
            public void actionPerformed(ActionEvent e) {
                JDialog dialog = new JDialog((Frame) null, history.getSuffixAt(index), false);
                dialog.setDefaultCloseOperation(JDialog.DISPOSE_ON_CLOSE);
                dialog.getContentPane().setLayout(new BorderLayout());
                Instances performance = (Instances) result.getMeasurement(CURVE_DATA_MACRO);
                try {
                    VisualizePanel panel = createPanel(performance);
                    dialog.getContentPane().add(panel, BorderLayout.CENTER);
                } catch (Exception ex) {
                    System.err.println("Failed to create plot!");
                    ex.printStackTrace();
                }
                dialog.setSize(800, 600);
                dialog.setLocationRelativeTo(null);
                dialog.setVisible(true);
            }
        };
    }
}