[1888] | 1 | #region License Information
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| 2 | /* HeuristicLab
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[3452] | 3 | * Copyright (C) 2002-2010 Heuristic and Evolutionary Algorithms Laboratory (HEAL)
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[1888] | 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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[5275] | 25 | using HeuristicLab.Common;
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[1888] | 26 | using HeuristicLab.Core;
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| 27 | using HeuristicLab.Data;
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[3452] | 28 | using HeuristicLab.Parameters;
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[5275] | 29 | using HeuristicLab.Persistence.Default.CompositeSerializers.Storable;
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[1888] | 30 |
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[3452] | 31 | namespace HeuristicLab.Problems.DataAnalysis.Evaluators {
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| 32 | public class SimpleMeanAbsolutePercentageErrorEvaluator : SimpleEvaluator {
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| 33 | public ILookupParameter<PercentValue> AverageRelativeErrorParameter {
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| 34 | get { return (ILookupParameter<PercentValue>)Parameters["AverageRelativeError"]; }
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| 35 | }
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[1888] | 36 |
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[5275] | 37 | [StorableConstructor]
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| 38 | protected SimpleMeanAbsolutePercentageErrorEvaluator(bool deserializing) : base(deserializing) { }
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| 39 | protected SimpleMeanAbsolutePercentageErrorEvaluator(SimpleMeanAbsolutePercentageErrorEvaluator original, Cloner cloner)
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| 40 | : base(original, cloner) {
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| 41 | }
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[3452] | 42 | public SimpleMeanAbsolutePercentageErrorEvaluator() {
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| 43 | Parameters.Add(new LookupParameter<PercentValue>("AverageRelativeError", "The average relative error of estimated values."));
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[1888] | 44 | }
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| 45 |
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[3452] | 46 | protected override void Apply(DoubleMatrix values) {
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| 47 | var original = from i in Enumerable.Range(0, values.Rows)
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| 48 | select values[i, ORIGINAL_INDEX];
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| 49 | var estimated = from i in Enumerable.Range(0, values.Rows)
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| 50 | select values[i, ESTIMATION_INDEX];
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| 51 | AverageRelativeErrorParameter.ActualValue = new PercentValue(Calculate(original, estimated));
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[1888] | 52 | }
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| 53 |
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[5275] | 54 | public override IDeepCloneable Clone(Cloner cloner) {
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| 55 | return new SimpleMeanAbsolutePercentageErrorEvaluator(this, cloner);
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| 56 | }
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| 57 |
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[3452] | 58 | public static double Calculate(IEnumerable<double> original, IEnumerable<double> estimated) {
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[3996] | 59 | OnlineMeanAbsolutePercentageErrorEvaluator onlineEvaluator = new OnlineMeanAbsolutePercentageErrorEvaluator();
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[3452] | 60 | var originalEnumerator = original.GetEnumerator();
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| 61 | var estimatedEnumerator = estimated.GetEnumerator();
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| 62 | while (originalEnumerator.MoveNext() & estimatedEnumerator.MoveNext()) {
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| 63 | double e = estimatedEnumerator.Current;
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| 64 | double o = originalEnumerator.Current;
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[3996] | 65 | onlineEvaluator.Add(o, e);
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[1888] | 66 | }
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[3452] | 67 | if (estimatedEnumerator.MoveNext() || originalEnumerator.MoveNext()) {
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| 68 | throw new ArgumentException("Number of elements in original and estimated enumeration doesn't match.");
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| 69 | } else {
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[3996] | 70 | return onlineEvaluator.MeanAbsolutePercentageError;
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[3452] | 71 | }
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[1888] | 72 | }
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| 73 | }
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| 74 | }
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