1 | #region License Information
|
---|
2 | /* HeuristicLab
|
---|
3 | * Copyright (C) 2002-2011 Heuristic and Evolutionary Algorithms Laboratory (HEAL)
|
---|
4 | *
|
---|
5 | * This file is part of HeuristicLab.
|
---|
6 | *
|
---|
7 | * HeuristicLab is free software: you can redistribute it and/or modify
|
---|
8 | * it under the terms of the GNU General Public License as published by
|
---|
9 | * the Free Software Foundation, either version 3 of the License, or
|
---|
10 | * (at your option) any later version.
|
---|
11 | *
|
---|
12 | * HeuristicLab is distributed in the hope that it will be useful,
|
---|
13 | * but WITHOUT ANY WARRANTY; without even the implied warranty of
|
---|
14 | * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
|
---|
15 | * GNU General Public License for more details.
|
---|
16 | *
|
---|
17 | * You should have received a copy of the GNU General Public License
|
---|
18 | * along with HeuristicLab. If not, see <http://www.gnu.org/licenses/>.
|
---|
19 | */
|
---|
20 | #endregion
|
---|
21 |
|
---|
22 | using System;
|
---|
23 | using System.Collections.Generic;
|
---|
24 | using System.Linq;
|
---|
25 | using HeuristicLab.Common;
|
---|
26 | using HeuristicLab.Core;
|
---|
27 | using HeuristicLab.Data;
|
---|
28 | using HeuristicLab.Parameters;
|
---|
29 | using HeuristicLab.Persistence.Default.CompositeSerializers.Storable;
|
---|
30 |
|
---|
31 | namespace HeuristicLab.Problems.DataAnalysis.Evaluators {
|
---|
32 | public class SimpleMeanAbsolutePercentageOfRangeErrorEvaluator : SimpleEvaluator {
|
---|
33 |
|
---|
34 | public ILookupParameter<PercentValue> AveragePercentageOfRangeErrorParameter {
|
---|
35 | get { return (ILookupParameter<PercentValue>)Parameters["AveragePercentageOfRangeError"]; }
|
---|
36 | }
|
---|
37 |
|
---|
38 | [StorableConstructor]
|
---|
39 | protected SimpleMeanAbsolutePercentageOfRangeErrorEvaluator(bool deserializing) : base(deserializing) { }
|
---|
40 | protected SimpleMeanAbsolutePercentageOfRangeErrorEvaluator(SimpleMeanAbsolutePercentageOfRangeErrorEvaluator original, Cloner cloner)
|
---|
41 | : base(original, cloner) {
|
---|
42 | }
|
---|
43 | public SimpleMeanAbsolutePercentageOfRangeErrorEvaluator() {
|
---|
44 | Parameters.Add(new LookupParameter<PercentValue>("AveragePercentageOfRangeError", "The average relative (percentage of range) error of estimated values."));
|
---|
45 | }
|
---|
46 |
|
---|
47 | protected override void Apply(DoubleMatrix values) {
|
---|
48 | var original = from i in Enumerable.Range(0, values.Rows)
|
---|
49 | select values[i, ORIGINAL_INDEX];
|
---|
50 | var estimated = from i in Enumerable.Range(0, values.Rows)
|
---|
51 | select values[i, ESTIMATION_INDEX];
|
---|
52 | AveragePercentageOfRangeErrorParameter.ActualValue = new PercentValue(Calculate(original, estimated));
|
---|
53 | }
|
---|
54 |
|
---|
55 | public override IDeepCloneable Clone(Cloner cloner) {
|
---|
56 | return new SimpleMeanAbsolutePercentageOfRangeErrorEvaluator(this, cloner);
|
---|
57 | }
|
---|
58 |
|
---|
59 | public static double Calculate(IEnumerable<double> original, IEnumerable<double> estimated) {
|
---|
60 | double errorsSum = 0.0;
|
---|
61 | int n = 0;
|
---|
62 | IList<double> originalList = original as IList<double>;
|
---|
63 | if (originalList == null) originalList = original.ToList();
|
---|
64 |
|
---|
65 | double range = originalList.Max() - originalList.Min();
|
---|
66 | if (double.IsInfinity(range)) return double.MaxValue;
|
---|
67 | if (range.IsAlmost(0.0)) return double.MaxValue;
|
---|
68 |
|
---|
69 |
|
---|
70 | var originalEnumerator = original.GetEnumerator();
|
---|
71 | var estimatedEnumerator = estimated.GetEnumerator();
|
---|
72 | while (originalEnumerator.MoveNext() & estimatedEnumerator.MoveNext()) {
|
---|
73 | double e = estimatedEnumerator.Current;
|
---|
74 | double o = originalEnumerator.Current;
|
---|
75 |
|
---|
76 | if (!double.IsNaN(e) && !double.IsInfinity(e) &&
|
---|
77 | !double.IsNaN(o) && !double.IsInfinity(o) && !o.IsAlmost(0.0)) {
|
---|
78 | double percent_error = Math.Abs((e - o) / range);
|
---|
79 | errorsSum += percent_error;
|
---|
80 | n++;
|
---|
81 | }
|
---|
82 | }
|
---|
83 | if (estimatedEnumerator.MoveNext() || originalEnumerator.MoveNext()) {
|
---|
84 | throw new ArgumentException("Number of elements in original and estimated enumeration doesn't match.");
|
---|
85 | } else if (n == 0) {
|
---|
86 | return double.MaxValue;
|
---|
87 | } else {
|
---|
88 | return errorsSum / n;
|
---|
89 | }
|
---|
90 | }
|
---|
91 | }
|
---|
92 | }
|
---|