Instance.java

/*
############################################################################
##
## Copyright (C) 2006-2009 University of Utah. All rights reserved.
##
## This file is part of DeepPeep.
##
## This file may be used under the terms of the GNU General Public
## License version 2.0 as published by the Free Software Foundation
## and appearing in the file LICENSE.GPL included in the packaging of
## this file.  Please review the following to ensure GNU General Public
## Licensing requirements will be met:
## http://www.opensource.org/licenses/gpl-license.php
##
## If you are unsure which license is appropriate for your use (for
## instance, you are interested in developing a commercial derivative
## of DeepPeep), please contact us at deeppeep@sci.utah.edu.
##
## This file is provided AS IS with NO WARRANTY OF ANY KIND, INCLUDING THE
## WARRANTY OF DESIGN, MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE.
##
############################################################################
*/
package focusedCrawler.link.classifier.builder;

import java.util.HashMap;

/**
 * <p>Description: An instance represents the features used by the
 * link classifier to classify a link</p>
 *
 * <p>Copyright: Copyright (c) 2004</p>
 *
 * @author Luciano Barbosa
 * @version 1.0
 */
public class Instance {

    private HashMap<String, Integer> featureHash;
    private String[] features;
    private double[] values;
    private double valueClassification;

    public Instance(String[] features) {
        this.setFeatures(features);
    }

    public void setClassification(String feat, double value) {
        this.valueClassification = value;
    }

    public void setFeatures(String[] features) {
        this.features = features;
        this.values = new double[features.length];
        this.featureHash = new HashMap<String, Integer>(features.length);
        for (int i = 0; i < features.length; i++) {
            this.featureHash.put(features[i], new Integer(i));
        }
    }

    public void setValue(String feat, Double val) {
        Integer index = (Integer) featureHash.get(feat);
        if (index != null) {
            values[index.intValue()] = val.doubleValue();
        }
    }

    public String[] getFeatures() {
        return features;
    }

    public double[] getValues() {
        return values;
    }

    public HashMap<String, Integer> getHash() {
        return featureHash;
    }

    public boolean checkFeature(String feat) {
        boolean exist = false;
        if (featureHash.get(feat) != null) {
            exist = true;
        }
        return exist;
    }

    public String toString() {

        StringBuilder temp = new StringBuilder();
        for (int i = 0; i < features.length; i++) {
            // if(values[i] > 0 && features[i].indexOf("text") == -1 &&
            // features[i].indexOf("title") == -1){

            // temp.append(features[i]);

            // temp.append(" ");

            // }

            temp.append(features[i]);
            temp.append(" ");

            temp.append((int) values[i]);
            temp.append(",");
        }

        // temp.append(attributeClassification);

        // temp.append(" ");
        temp.append((int) valueClassification);
        return temp.toString();
    }

}