[3996] | 1 | #region License Information
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| 2 | /* HeuristicLab
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[7259] | 3 | * Copyright (C) 2002-2012 Heuristic and Evolutionary Algorithms Laboratory (HEAL)
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[3996] | 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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[5507] | 23 | using System.Collections.Generic;
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[3996] | 24 | using HeuristicLab.Common;
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| 25 |
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[5491] | 26 | namespace HeuristicLab.Problems.DataAnalysis {
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[5942] | 27 | public class OnlineMeanAbsolutePercentageErrorCalculator : IOnlineCalculator {
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[3996] | 28 |
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| 29 | private double sre;
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| 30 | private int n;
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| 31 | public double MeanAbsolutePercentageError {
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| 32 | get {
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[5742] | 33 | return n > 0 ? sre / n : 0.0;
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[3996] | 34 | }
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| 35 | }
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| 36 |
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[5942] | 37 | public OnlineMeanAbsolutePercentageErrorCalculator() {
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[3996] | 38 | Reset();
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| 39 | }
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| 40 |
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[5942] | 41 | #region IOnlineCalculator Members
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| 42 | private OnlineCalculatorError errorState;
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| 43 | public OnlineCalculatorError ErrorState {
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[5894] | 44 | get { return errorState; }
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| 45 | }
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[4022] | 46 | public double Value {
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| 47 | get { return MeanAbsolutePercentageError; }
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| 48 | }
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[3996] | 49 | public void Reset() {
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| 50 | n = 0;
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| 51 | sre = 0.0;
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[5942] | 52 | errorState = OnlineCalculatorError.InsufficientElementsAdded;
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[3996] | 53 | }
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| 54 |
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| 55 | public void Add(double original, double estimated) {
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| 56 | if (double.IsNaN(estimated) || double.IsInfinity(estimated) ||
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[5845] | 57 | double.IsNaN(original) || double.IsInfinity(original) ||
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[5894] | 58 | original.IsAlmost(0.0)) {
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[5942] | 59 | errorState = errorState | OnlineCalculatorError.InvalidValueAdded;
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[5904] | 60 | } else {
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[5894] | 61 | sre += Math.Abs((estimated - original) / original);
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| 62 | n++;
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[5942] | 63 | errorState = errorState & (~OnlineCalculatorError.InsufficientElementsAdded); // n >= 1
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[3996] | 64 | }
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| 65 | }
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| 66 |
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| 67 | #endregion
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[5507] | 68 |
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[6961] | 69 | public static double Calculate(IEnumerable<double> originalValues, IEnumerable<double> estimatedValues, out OnlineCalculatorError errorState) {
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| 70 | IEnumerator<double> originalEnumerator = originalValues.GetEnumerator();
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| 71 | IEnumerator<double> estimatedEnumerator = estimatedValues.GetEnumerator();
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[5942] | 72 | OnlineMeanAbsolutePercentageErrorCalculator calculator = new OnlineMeanAbsolutePercentageErrorCalculator();
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[5507] | 73 |
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[5564] | 74 | // always move forward both enumerators (do not use short-circuit evaluation!)
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[6961] | 75 | while (originalEnumerator.MoveNext() & estimatedEnumerator.MoveNext()) {
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| 76 | double original = originalEnumerator.Current;
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| 77 | double estimated = estimatedEnumerator.Current;
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[5942] | 78 | calculator.Add(original, estimated);
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[5945] | 79 | if (calculator.ErrorState != OnlineCalculatorError.None) break;
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[5507] | 80 | }
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| 81 |
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[5564] | 82 | // check if both enumerators are at the end to make sure both enumerations have the same length
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[5945] | 83 | if (calculator.ErrorState == OnlineCalculatorError.None &&
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[6961] | 84 | (estimatedEnumerator.MoveNext() || originalEnumerator.MoveNext())) {
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[6964] | 85 | throw new ArgumentException("Number of elements in originalValues and second estimatedValues doesn't match.");
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[5507] | 86 | } else {
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[5942] | 87 | errorState = calculator.ErrorState;
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| 88 | return calculator.MeanAbsolutePercentageError;
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[5507] | 89 | }
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| 90 | }
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[3996] | 91 | }
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| 92 | }
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