source: trunk/CrossPare/src/de/ugoe/cs/cpdp/training/RandomClass.java @ 39

package de.ugoe.cs.cpdp.training;

import java.util.Random;

import weka.classifiers.AbstractClassifier;
import weka.classifiers.Classifier;
import weka.core.Instance;
import weka.core.Instances;

/**
 * Assigns a random class label to the instance it is evaluated on.
 * 
 * The range of class labels are hardcoded in fixedClassValues.
 * This can later be extended to take values from the XML configuration. 
 */
public class RandomClass extends AbstractClassifier implements ITrainingStrategy, IWekaCompatibleTrainer {

        private static final long serialVersionUID = 1L;

        private double[] fixedClassValues = {0.0d, 1.0d};
        
        @Override
        public void setParameter(String parameters) {
                // do nothing, maybe take percentages for distribution later
        }

        @Override
        public void buildClassifier(Instances arg0) throws Exception {
                // do nothing
        }

        @Override
        public Classifier getClassifier() {
                return this;
        }

        @Override
        public void apply(Instances traindata) {
                // nothing to do
        }

        @Override
        public String getName() {
                return "RandomClass";
        }
        
        @Override
        public double classifyInstance(Instance instance) {
                Random rand = new Random();
            int randomNum = rand.nextInt(this.fixedClassValues.length);
                return this.fixedClassValues[randomNum];
        }
}