[1888] | 1 | #region License Information
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| 2 | /* HeuristicLab
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| 3 | * Copyright (C) 2002-2008 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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[2324] | 27 | using HeuristicLab.Common;
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[1888] | 28 | using HeuristicLab.Data;
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| 29 | using HeuristicLab.DataAnalysis;
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| 30 |
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| 31 | namespace HeuristicLab.Modeling {
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| 32 | public class SimpleMeanAbsolutePercentageOfRangeErrorEvaluator : SimpleEvaluatorBase {
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| 33 | public override string OutputVariableName {
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| 34 | get {
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| 35 | return "MAPRE";
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| 36 | }
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| 37 | }
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| 38 |
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| 39 | public override double Evaluate(double[,] values) {
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[2136] | 40 | try {
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| 41 | return Calculate(values);
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| 42 | }
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| 43 | catch (ArgumentException) {
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| 44 | return double.PositiveInfinity;
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| 45 | }
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[1888] | 46 | }
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| 47 |
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| 48 | public static double Calculate(double[,] values) {
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| 49 | double errorsSum = 0.0;
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| 50 | int n = 0;
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| 51 | // copy to one-dimensional array for range calculation
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| 52 | double[] originalValues = new double[values.GetLength(0)];
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[2357] | 53 | for (int i = 0; i < originalValues.Length; i++) originalValues[i] = values[i, ORIGINAL_INDEX];
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[1888] | 54 | double range = Statistics.Range(originalValues);
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[2136] | 55 | if (double.IsInfinity(range)) throw new ArgumentException("Range of elements in values is infinity");
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[2226] | 56 | if (range.IsAlmost(0.0)) throw new ArgumentException("Range of elements in values is zero");
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[1888] | 57 |
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| 58 | for (int i = 0; i < values.GetLength(0); i++) {
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[2357] | 59 | double estimated = values[i, ESTIMATION_INDEX];
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| 60 | double original = values[i, ORIGINAL_INDEX];
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[1888] | 61 |
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| 62 | if (!double.IsNaN(estimated) && !double.IsInfinity(estimated) &&
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| 63 | !double.IsNaN(original) && !double.IsInfinity(original) && original != 0.0) {
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| 64 | double percent_error = Math.Abs((estimated - original) / range);
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| 65 | errorsSum += percent_error;
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| 66 | n++;
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| 67 | }
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| 68 | }
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[2136] | 69 | if (double.IsInfinity(range) || n == 0) {
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| 70 | throw new ArgumentException("Mean of absolute percentage of range error is not defined for input vectors of NaN or Inf");
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| 71 | } else {
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| 72 | return errorsSum / n;
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| 73 | }
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[1888] | 74 | }
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| 75 | }
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| 76 | }
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