/*
 *  RapidMiner
 *
 *  Copyright (C) 2001-2011 by Rapid-I and the contributors
 *
 *  Complete list of developers available at our web site:
 *
 *       http://rapid-i.com
 *
 *  This program is free software: you can redistribute it and/or modify
 *  it under the terms of the GNU Affero 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 Affero General Public License for more details.
 *
 *  You should have received a copy of the GNU Affero General Public License
 *  along with this program.  If not, see http://www.gnu.org/licenses/.
 */
package com.rapidminer.operator.features;

import com.rapidminer.example.ExampleSet;
import com.rapidminer.operator.OperatorException;
import com.rapidminer.operator.performance.PerformanceVector;

/**
 * This is the basic population operator for feature set
 * evaluation schemes.
 * 
 * @author Sebastian Land, Ingo Mierswa
 */
public class SimplePopulationEvaluator implements PopulationEvaluator {

	private ExampleSet originalSet;
	private FeatureOperator operator;
	
	public SimplePopulationEvaluator(FeatureOperator operator, ExampleSet originalSet) {
		this.originalSet = originalSet;
		this.operator = operator;
	}
	
	/**
	 * Evaluates the given individual. The performance is set as user data of
	 * the individual and also returned by this method.
	 */
	private final void evaluate(Individual individual) throws OperatorException {
		if (individual.getPerformance() == null) {
			
			double[] weights = individual.getWeights();
			ExampleSet clone = FeatureOperator.createCleanClone(originalSet, weights);
						
			PerformanceVector performanceVector = operator.executeEvaluationProcess(clone);
			individual.setPerformance(performanceVector);
		}
	}

	
	
	public void evaluate(Population population) throws OperatorException {
		for (int i = 0; i < population.getNumberOfIndividuals(); i++) {
			evaluate(population.get(i));
			population.updateEvaluation();
		}
	}

}