adams.data.conversion.WekaEvaluationToMarginCurve.java Source code

Introduction

Here is the source code for adams.data.conversion.WekaEvaluationToMarginCurve.java

Source

/*
 *   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/>.
 */

/**
 * WekaEvaluationToMarginCurve.java
 * Copyright (C) 2014 University of Waikato, Hamilton, New Zealand
 */
package adams.data.conversion;

import weka.classifiers.Evaluation;
import weka.classifiers.evaluation.MarginCurve;
import weka.core.Instances;

/**
 <!-- globalinfo-start -->
 * Generates margin-curve data from a WEKA Evaluation object.
 * <br><br>
 <!-- globalinfo-end -->
 *
 <!-- options-start -->
 * <pre>-logging-level &lt;OFF|SEVERE|WARNING|INFO|CONFIG|FINE|FINER|FINEST&gt; (property: loggingLevel)
 * &nbsp;&nbsp;&nbsp;The logging level for outputting errors and debugging output.
 * &nbsp;&nbsp;&nbsp;default: WARNING
 * </pre>
 * 
 <!-- options-end -->
 *
 * @author  fracpete (fracpete at waikato dot ac dot nz)
 * @version $Revision$
 */
public class WekaEvaluationToMarginCurve extends AbstractConversion {

    /** for serialization. */
    private static final long serialVersionUID = -3340269698168769770L;

    /**
     * Returns a string describing the object.
     *
     * @return          a description suitable for displaying in the gui
     */
    @Override
    public String globalInfo() {
        return "Generates margin-curve data from a WEKA Evaluation object.";
    }

    /**
     * Returns the class that is accepted as input.
     *
     * @return      the class
     */
    @Override
    public Class accepts() {
        return Evaluation.class;
    }

    /**
     * Returns the class that is generated as output.
     *
     * @return      the class
     */
    @Override
    public Class generates() {
        return Instances.class;
    }

    /**
     * Performs the actual conversion.
     *
     * @return      the converted data
     * @throws Exception   if something goes wrong with the conversion
     */
    @Override
    protected Object doConvert() throws Exception {
        Evaluation eval;
        MarginCurve curve;
        Instances cost;

        eval = (Evaluation) m_Input;
        curve = new MarginCurve();
        cost = curve.getCurve(eval.predictions());

        return cost;
    }
}