/*
* Copyright (C) 2012 Sebastian Schelter <sebastian.schelter [at] tu-berlin.de>
*
* 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.
*/
package de.tuberlin.dima.recsys.ssnmm.interactioncut;
import org.apache.mahout.cf.taste.impl.common.FullRunningAverageAndStdDev;
import org.apache.mahout.cf.taste.impl.common.RunningAverageAndStdDev;
/**
* Class to compute the prediction error in an updatable fashion
*/
class Errors {
private final int maxPrefsPerUser;
private final RunningAverageAndStdDev rmse = new FullRunningAverageAndStdDev();
private final RunningAverageAndStdDev mae = new FullRunningAverageAndStdDev();
public Errors(int maxPrefsPerUser) {
this.maxPrefsPerUser = maxPrefsPerUser;
}
public void record(double rmse, double mae) {
this.rmse.addDatum(rmse);
this.mae.addDatum(mae);
}
@Override
public String toString() {
return maxPrefsPerUser + "\t" + rmse.getAverage() + "\t" + rmse.getStandardDeviation() + "\t" + mae.getAverage()
+ "\t" + mae.getStandardDeviation();
}
}