[3996] | 1 | #region License Information
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| 2 | /* HeuristicLab
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| 3 | * Copyright (C) 2002-2010 Heuristic and Evolutionary Algorithms Laboratory (HEAL)
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| 4 | *
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| 5 | * This file is part of HeuristicLab.
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| 6 | *
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| 7 | * HeuristicLab is free software: you can redistribute it and/or modify
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| 8 | * it under the terms of the GNU General Public License as published by
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| 9 | * the Free Software Foundation, either version 3 of the License, or
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| 10 | * (at your option) any later version.
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| 11 | *
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| 12 | * HeuristicLab is distributed in the hope that it will be useful,
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| 13 | * but WITHOUT ANY WARRANTY; without even the implied warranty of
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| 14 | * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
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| 15 | * GNU General Public License for more details.
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| 16 | *
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| 17 | * You should have received a copy of the GNU General Public License
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| 18 | * along with HeuristicLab. If not, see <http://www.gnu.org/licenses/>.
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| 19 | */
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| 20 | #endregion
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| 21 |
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| 22 | using System;
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| 23 | using HeuristicLab.Common;
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| 24 |
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| 25 | namespace HeuristicLab.Problems.DataAnalysis.Evaluators {
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| 26 | public class OnlineMeanAbsolutePercentageErrorEvaluator : IOnlineEvaluator {
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| 27 |
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| 28 | private double sre;
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| 29 | private int n;
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| 30 | public double MeanAbsolutePercentageError {
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| 31 | get {
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| 32 | if (n < 1)
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| 33 | throw new InvalidOperationException("No elements");
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| 34 | else
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| 35 | return sre / n;
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| 36 | }
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| 37 | }
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| 38 |
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| 39 | public OnlineMeanAbsolutePercentageErrorEvaluator() {
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| 40 | Reset();
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| 41 | }
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| 42 |
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[4022] | 43 | #region IOnlineEvaluator Members
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| 44 | public double Value {
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| 45 | get { return MeanAbsolutePercentageError; }
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| 46 | }
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[3996] | 47 | public void Reset() {
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| 48 | n = 0;
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| 49 | sre = 0.0;
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| 50 | }
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| 51 |
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| 52 | public void Add(double original, double estimated) {
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| 53 | if (double.IsNaN(estimated) || double.IsInfinity(estimated) ||
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| 54 | double.IsNaN(original) || double.IsInfinity(original)) {
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| 55 | throw new ArgumentException("Relative error is not defined for variables with NaN or infinity values.");
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| 56 | } else {
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| 57 | if (!original.IsAlmost(0.0)) {
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| 58 | sre += Math.Abs((estimated - original) / original);
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| 59 | n++;
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| 60 | }
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| 61 | }
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| 62 | }
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| 63 |
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| 64 | #endregion
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| 65 | }
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| 66 | }
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