/*
* Debellor
*
* Copyright (C) 2008-2009 by Marcin Wojnarski
*
* This program is free software: you can redistribute it and/or modify
* it under the terms of the GNU 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 General Public License for more details.
*
* You should have received a copy of the GNU General Public License
* along with this program. If not, see http://www.gnu.org/licenses/.
*/
package org.debellor.base.evaluator.score;
import org.debellor.core.DataObject;
import org.debellor.core.exception.data.DataCastException;
/**
* Calculates Root Mean Squared Error (RMSE) of numeric decisions predicted by a decision system.
*
* @author Marcin Wojnarski
*
*/
public class RMSE extends Score {
private double err;
private int len;
public RMSE() {
reset();
}
@Override
public void reset() {
err = 0.0;
len = 0;
}
@Override
public void add(DataObject target, DataObject prediction) throws DataCastException {
if(target == null) return;
double d = target.asNumericFeature().value - prediction.asNumericFeature().value;
err += d * d;
len ++;
}
@Override
public String report() {
if(len > 0)
return "RMSE: " + result();
else
return "No test samples";
}
@Override
public double result() {
if(len == 0) return 0.0;
return Math.sqrt(err / len);
}
}