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 System.Collections.Generic;
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24 | using System.Linq;
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25 | using System.Text;
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26 | using HeuristicLab.Core;
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27 | using HeuristicLab.Common;
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28 | using HeuristicLab.Data;
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29 | using HeuristicLab.Parameters;
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30 |
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31 | namespace HeuristicLab.Problems.DataAnalysis.Evaluators {
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32 | public class SimpleMeanAbsolutePercentageOfRangeErrorEvaluator : SimpleEvaluator {
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33 |
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34 | public ILookupParameter<PercentValue> AveragePercentageOfRangeErrorParameter {
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35 | get { return (ILookupParameter<PercentValue>)Parameters["AveragePercentageOfRangeError"]; }
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36 | }
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37 |
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38 | public SimpleMeanAbsolutePercentageOfRangeErrorEvaluator() {
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39 | Parameters.Add(new LookupParameter<PercentValue>("AveragePercentageOfRangeError", "The average relative (percentage of range) error of estimated values."));
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40 | }
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41 |
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42 | protected override void Apply(DoubleMatrix values) {
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43 | var original = from i in Enumerable.Range(0, values.Rows)
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44 | select values[i, ORIGINAL_INDEX];
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45 | var estimated = from i in Enumerable.Range(0, values.Rows)
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46 | select values[i, ESTIMATION_INDEX];
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47 | AveragePercentageOfRangeErrorParameter.ActualValue = new PercentValue(Calculate(original, estimated));
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48 | }
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49 |
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50 | public static double Calculate(IEnumerable<double> original, IEnumerable<double> estimated) {
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51 | double errorsSum = 0.0;
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52 | int n = 0;
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53 | IList<double> originalList = original as IList<double>;
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54 | if (originalList == null) originalList = original.ToList();
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55 |
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56 | double range = originalList.Max() - originalList.Min();
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57 | if (double.IsInfinity(range)) return double.MaxValue;
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58 | if (range.IsAlmost(0.0)) return double.MaxValue;
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59 |
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60 |
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61 | var originalEnumerator = original.GetEnumerator();
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62 | var estimatedEnumerator = estimated.GetEnumerator();
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63 | while (originalEnumerator.MoveNext() & estimatedEnumerator.MoveNext()) {
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64 | double e = estimatedEnumerator.Current;
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65 | double o = originalEnumerator.Current;
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66 |
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67 | if (!double.IsNaN(e) && !double.IsInfinity(e) &&
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68 | !double.IsNaN(o) && !double.IsInfinity(o) && !o.IsAlmost(0.0)) {
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69 | double percent_error = Math.Abs((e - o) / range);
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70 | errorsSum += percent_error;
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71 | n++;
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72 | }
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73 | }
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74 | if (estimatedEnumerator.MoveNext() || originalEnumerator.MoveNext()) {
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75 | throw new ArgumentException("Number of elements in original and estimated enumeration doesn't match.");
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76 | } else if (n == 0) {
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77 | return double.MaxValue;
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78 | } else {
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79 | return errorsSum / n;
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80 | }
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81 | }
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82 | }
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83 | }
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