1 | #region License Information
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2 | /* HeuristicLab
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3 | * Copyright (C) 2002-2012 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 HeuristicLab.Common;
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26 | using HeuristicLab.Core;
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27 | using HeuristicLab.Data;
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28 | using HeuristicLab.Encodings.CombinedIntegerVectorEncoding;
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29 | using HeuristicLab.Encodings.ConditionActionEncoding;
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30 | using HeuristicLab.Parameters;
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31 | using HeuristicLab.Persistence.Default.CompositeSerializers.Storable;
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32 | using HeuristicLab.Problems.ConditionActionClassification;
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33 | using HeuristicLab.Problems.DataAnalysis;
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34 |
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35 | namespace HeuristicLab.Problems.CombinedIntegerVectorClassification {
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36 | [StorableClass]
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37 | [Item("CombinedIntegerVectorClassificationProblemData", "A problem data for LCS.")]
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38 | public class CombinedIntegerVectorClassificationProblemData : ConditionActionClassificationProblemData, ICombinedIntegerVectorClassificationProblemData {
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39 |
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40 | #region parameter properites
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41 | public IFixedValueParameter<IntValue> LengthParameter {
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42 | get { return (IFixedValueParameter<IntValue>)Parameters["Length"]; }
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43 | }
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44 | public IFixedValueParameter<IntValue> ActionLengthParameter {
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45 | get { return (IFixedValueParameter<IntValue>)Parameters["ActionLength"]; }
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46 | }
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47 | public IFixedValueParameter<IntMatrix> BoundsParameter {
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48 | get { return (IFixedValueParameter<IntMatrix>)Parameters["Bounds"]; }
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49 | }
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50 | #endregion
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51 |
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52 | #region properties
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53 | public IntValue Length {
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54 | get { return LengthParameter.Value; }
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55 | }
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56 |
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57 | public IntValue ActionLength {
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58 | get { return ActionLengthParameter.Value; }
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59 | }
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60 |
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61 | public IntMatrix Bounds {
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62 | get { return BoundsParameter.Value; }
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63 | }
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64 | #endregion
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65 |
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66 | [StorableConstructor]
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67 | protected CombinedIntegerVectorClassificationProblemData(bool deserializing) : base(deserializing) { }
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68 | protected CombinedIntegerVectorClassificationProblemData(CombinedIntegerVectorClassificationProblemData original, Cloner cloner)
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69 | : base(original, cloner) {
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70 | }
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71 | public override IDeepCloneable Clone(Cloner cloner) {
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72 | return new CombinedIntegerVectorClassificationProblemData(this, cloner);
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73 | }
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74 |
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75 | public CombinedIntegerVectorClassificationProblemData(Dataset dataset, IEnumerable<string> allowedConditionVariables, IEnumerable<string> allowedActionVariables) :
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76 | base(dataset, allowedConditionVariables, allowedActionVariables) {
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77 | Parameters.Add(new FixedValueParameter<IntValue>("Length", "", new IntValue(allowedConditionVariables.Count() + allowedActionVariables.Count())));
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78 | Parameters.Add(new FixedValueParameter<IntValue>("ActionLength", "", new IntValue(allowedActionVariables.Count())));
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79 | Parameters.Add(new FixedValueParameter<IntMatrix>("Bounds", "", GetBoundsMatrix(dataset, allowedConditionVariables, allowedActionVariables)));
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80 | }
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81 |
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82 | private IntMatrix GetBoundsMatrix(Dataset dataset, IEnumerable<string> conditionVariables, IEnumerable<string> actionVariables) {
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83 | IntMatrix bounds = new IntMatrix(conditionVariables.Count() + actionVariables.Count(), 2);
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84 | int index = 0;
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85 | foreach (var variable in conditionVariables) {
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86 | var values = dataset.GetDoubleValues(variable);
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87 | bounds[index, 0] = (int)values.Min();
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88 | bounds[index, 1] = (int)values.Max() + 2;
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89 | index++;
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90 | }
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91 | foreach (var variable in actionVariables) {
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92 | var values = dataset.GetDoubleValues(variable);
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93 | bounds[index, 0] = (int)values.Min();
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94 | bounds[index, 1] = (int)values.Max() + 1;
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95 | index++;
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96 | }
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97 | return bounds;
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98 | }
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99 |
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100 | public override IInput FetchInput(int rowNumber) {
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101 | if (!fetchInputCache.ContainsKey(rowNumber)) {
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102 | int[] elements = new int[Length.Value];
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103 | var variableNamesList = Dataset.VariableNames.ToList();
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104 | int elementIndex = 0;
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105 | for (int i = 0; i < variableNamesList.Count; i++) {
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106 | if (AllowedConditionVariables.Contains(variableNamesList[i])) {
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107 | elements[elementIndex] = int.Parse(Dataset.GetValue(rowNumber, i));
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108 | elementIndex++;
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109 | }
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110 | }
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111 | for (int i = 0; i < variableNamesList.Count; i++) {
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112 | if (AllowedActionVariables.Contains(variableNamesList[i])) {
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113 | elements[elementIndex] = int.Parse(Dataset.GetValue(rowNumber, i));
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114 | elementIndex++;
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115 | }
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116 | }
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117 | if (elementIndex != Length.Value) {
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118 | throw new ArgumentException("Length of classifier is not equal to the number of allowed condition + action variables.");
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119 | }
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120 | fetchInputCache.Add(rowNumber, new CombinedIntegerVector(elements, ActionLengthParameter.Value.Value, BoundsParameter.Value));
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121 | }
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122 | return fetchInputCache[rowNumber];
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123 | }
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124 |
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125 | public override IAction FetchAction(int rowNumber) {
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126 | return (FetchInput(rowNumber) as IClassifier).Action;
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127 | }
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128 | }
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129 | }
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