/*
* Encog(tm) Java Examples v3.4
* http://www.heatonresearch.com/encog/
* https://github.com/encog/encog-java-examples
*
* Copyright 2008-2016 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.examples.proben;
import org.encog.util.Format;
public class ProBenResultAccumulator {
private int iterations;
private double trainingError;
private double validationError;
private int count;
/**
* @return the iterations
*/
public int getIterations() {
return iterations;
}
/**
* @return the trainingError
*/
public double getTrainingError() {
return trainingError;
}
/**
* @return the validationError
*/
public double getValidationError() {
return validationError;
}
/**
* @return the count
*/
public int getCount() {
return count;
}
public void accumulate(ProBenResult result) {
this.iterations+=result.getIterations();
this.trainingError+=result.getTrainingError();
this.validationError+=result.getValidationError();
this.count++;
}
public String toString() {
return("Mean Iterations=" + iterations/this.count
+ "; Mean Training Error=" + Format.formatDouble(this.trainingError/this.count, 4)
+ "; Mean Validation Error=" + Format.formatDouble(this.validationError/this.count, 4));
}
}