/* * 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(); } }