/*
* RapidMiner
*
* Copyright (C) 2001-2008 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.performance;
import java.util.LinkedList;
import java.util.List;
import com.rapidminer.example.Attribute;
import com.rapidminer.example.ExampleSet;
import com.rapidminer.example.Tools;
import com.rapidminer.operator.OperatorDescription;
import com.rapidminer.operator.OperatorException;
import com.rapidminer.parameter.ParameterType;
import com.rapidminer.parameter.ParameterTypeInt;
import com.rapidminer.parameter.UndefinedParameterError;
import com.rapidminer.tools.LogService;
public class ForecastingPerformanceEvaluator extends AbstractPerformanceEvaluator {
public static final String PARAMETER_HORIZON = "horizon";
/** The proper criteria to the names. */
private static final Class[] SIMPLE_CRITERIA_CLASSES = {
com.rapidminer.operator.performance.PredictionTrendAccuracy.class
};
public ForecastingPerformanceEvaluator(OperatorDescription description) {
super(description);
}
protected void checkCompatibility(ExampleSet exampleSet) throws OperatorException {
Tools.isLabelled(exampleSet);
Tools.isNonEmpty(exampleSet);
}
protected double[] getClassWeights(Attribute label) throws UndefinedParameterError {
return null;
}
public List<PerformanceCriterion> getCriteria() {
List<PerformanceCriterion> allCriteria = new LinkedList<PerformanceCriterion>();
for (int i = 0; i < SIMPLE_CRITERIA_CLASSES.length; i++) {
try {
PerformanceCriterion criterion = (PerformanceCriterion)SIMPLE_CRITERIA_CLASSES[i].newInstance();
((ForecastingCriterion)criterion).setParent(this);
allCriteria.add(criterion);
} catch (InstantiationException e) {
LogService.getGlobal().logError("Cannot instantiate " + SIMPLE_CRITERIA_CLASSES[i] + ". Skipping...");
} catch (IllegalAccessException e) {
LogService.getGlobal().logError("Cannot instantiate " + SIMPLE_CRITERIA_CLASSES[i] + ". Skipping...");
}
}
return allCriteria;
}
public List<ParameterType> getParameterTypes() {
List<ParameterType> types = new LinkedList<ParameterType>();
types.add(new ParameterTypeInt(PARAMETER_HORIZON, "Indicates the horizon for the calculation of the forecasting performance measures.", 1, Integer.MAX_VALUE, false));
types.addAll(super.getParameterTypes());
return types;
}
}