/**
* Copyright (C) 2001-2017 by RapidMiner and the contributors
*
* Complete list of developers available at our web site:
*
* http://rapidminer.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);
}
}
@Override
public void evaluate(Population population) throws OperatorException {
for (int i = 0; i < population.getNumberOfIndividuals(); i++) {
evaluate(population.get(i));
population.updateEvaluation();
operator.getProgress().step();
}
}
}