/*
* Encog(tm) Core v3.0 - Java Version
* http://www.heatonresearch.com/encog/
* http://code.google.com/p/encog-java/
* Copyright 2008-2011 Heaton Research, Inc.
*
* Licensed under the Apache License, Version 2.0 (the "License");
* you may not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an "AS IS" BASIS,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
*
* For more information on Heaton Research copyrights, licenses
* and trademarks visit:
* http://www.heatonresearch.com/copyright
*/
package org.encog.util.error;
import org.encog.mathutil.error.ErrorCalculation;
import org.encog.ml.MLContext;
import org.encog.ml.MLRegression;
import org.encog.ml.data.MLData;
import org.encog.ml.data.MLDataPair;
import org.encog.ml.data.MLDataSet;
public class CalculateRegressionError {
public static double calculateError(final MLRegression method,
final MLDataSet data) {
final ErrorCalculation errorCalculation = new ErrorCalculation();
// clear context
if( method instanceof MLContext ) {
((MLContext)method).clearContext();
}
// calculate error
for (final MLDataPair pair : data) {
final MLData actual = method.compute(pair.getInput());
errorCalculation.updateError(actual.getData(), pair.getIdeal()
.getData(),pair.getSignificance());
}
return errorCalculation.calculate();
}
}