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.Text;
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25 | using System.Xml;
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26 | using HeuristicLab.Core;
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27 | using System.Globalization;
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28 | using System.IO;
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29 | using HeuristicLab.Persistence.Default.CompositeSerializers.Storable;
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30 | using HeuristicLab.Common;
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31 | using SVM;
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32 | using System.Linq;
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33 |
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34 | namespace HeuristicLab.Problems.DataAnalysis.SupportVectorMachine {
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35 | /// <summary>
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36 | /// Represents a support vector machine model.
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37 | /// </summary>
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38 | [StorableClass]
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39 | [Item("SupportVectorMachineModel", "Represents a support vector machine model.")]
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40 | public class SupportVectorMachineModel : NamedItem, IDataAnalysisModel {
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41 | public SupportVectorMachineModel()
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42 | : base() {
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43 | }
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44 |
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45 | private SVM.Model model;
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46 | /// <summary>
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47 | /// Gets or sets the SVM model.
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48 | /// </summary>
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49 | public SVM.Model Model {
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50 | get { return model; }
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51 | set {
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52 | if (value != model) {
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53 | if (value == null) throw new ArgumentNullException();
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54 | model = value;
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55 | OnChanged(EventArgs.Empty);
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56 | }
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57 | }
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58 | }
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59 |
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60 | /// <summary>
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61 | /// Gets or sets the range transformation for the model.
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62 | /// </summary>
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63 | private SVM.RangeTransform rangeTransform;
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64 | public SVM.RangeTransform RangeTransform {
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65 | get { return rangeTransform; }
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66 | set {
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67 | if (value != rangeTransform) {
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68 | if (value == null) throw new ArgumentNullException();
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69 | rangeTransform = value;
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70 | OnChanged(EventArgs.Empty);
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71 | }
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72 | }
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73 | }
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74 |
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75 | public IEnumerable<double> GetEstimatedValues(DataAnalysisProblemData problemData, int start, int end) {
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76 | SVM.Problem problem = SupportVectorMachineUtil.CreateSvmProblem(problemData, start, end);
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77 | SVM.Problem scaledProblem = Scaling.Scale(RangeTransform, problem);
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78 |
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79 | return (from row in Enumerable.Range(0, scaledProblem.Count)
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80 | select SVM.Prediction.Predict(Model, scaledProblem.X[row])).ToList();
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81 | }
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82 |
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83 | #region events
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84 | public event EventHandler Changed;
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85 | private void OnChanged(EventArgs e) {
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86 | var handlers = Changed;
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87 | if (handlers != null)
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88 | handlers(this, e);
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89 | }
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90 | #endregion
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91 |
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92 | #region persistence
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93 | [Storable]
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94 | private int[] SupportVectorIndizes {
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95 | get { return this.Model.SupportVectorIndizes; }
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96 | set { this.Model.SupportVectorIndizes = value; }
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97 | }
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98 |
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99 | [Storable]
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100 | private string ModelAsString {
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101 | get {
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102 | using (MemoryStream stream = new MemoryStream()) {
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103 | SVM.Model.Write(stream, Model);
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104 | stream.Seek(0, System.IO.SeekOrigin.Begin);
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105 | StreamReader reader = new StreamReader(stream);
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106 | return reader.ReadToEnd();
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107 | }
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108 | }
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109 | set {
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110 | using (MemoryStream stream = new MemoryStream(Encoding.ASCII.GetBytes(value))) {
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111 | model = SVM.Model.Read(stream);
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112 | }
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113 | }
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114 | }
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115 | [Storable]
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116 | private string RangeTransformAsString {
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117 | get {
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118 | using (MemoryStream stream = new MemoryStream()) {
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119 | SVM.RangeTransform.Write(stream, RangeTransform);
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120 | stream.Seek(0, System.IO.SeekOrigin.Begin);
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121 | StreamReader reader = new StreamReader(stream);
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122 | return reader.ReadToEnd();
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123 | }
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124 | }
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125 | set {
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126 | using (MemoryStream stream = new MemoryStream(Encoding.ASCII.GetBytes(value))) {
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127 | RangeTransform = SVM.RangeTransform.Read(stream);
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128 | }
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129 | }
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130 | }
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131 | #endregion
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132 |
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133 | public override IDeepCloneable Clone(Cloner cloner) {
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134 | SupportVectorMachineModel clone = (SupportVectorMachineModel)base.Clone(cloner);
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135 | // beware we are only using a shallow copy here! (gkronber)
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136 | clone.model = model;
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137 | clone.rangeTransform = rangeTransform;
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138 | return clone;
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139 | }
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140 |
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141 | /// <summary>
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142 | /// Exports the <paramref name="model"/> in string representation to stream <paramref name="s"/>
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143 | /// </summary>
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144 | /// <param name="model">The support vector regression model to export</param>
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145 | /// <param name="s">The stream to export the model to</param>
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146 | public static void Export(SupportVectorMachineModel model, Stream s) {
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147 | StreamWriter writer = new StreamWriter(s);
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148 | writer.WriteLine("RangeTransform:");
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149 | writer.Flush();
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150 | using (MemoryStream memStream = new MemoryStream()) {
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151 | SVM.RangeTransform.Write(memStream, model.RangeTransform);
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152 | memStream.Seek(0, SeekOrigin.Begin);
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153 | memStream.WriteTo(s);
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154 | }
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155 | writer.WriteLine("Model:");
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156 | writer.Flush();
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157 | using (MemoryStream memStream = new MemoryStream()) {
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158 | SVM.Model.Write(memStream, model.Model);
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159 | memStream.Seek(0, SeekOrigin.Begin);
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160 | memStream.WriteTo(s);
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161 | }
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162 | s.Flush();
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163 | }
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164 |
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165 | /// <summary>
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166 | /// Imports a support vector machine model given as string representation.
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167 | /// </summary>
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168 | /// <param name="reader">The reader to retrieve the string representation from</param>
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169 | /// <returns>The imported support vector machine model.</returns>
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170 | public static SupportVectorMachineModel Import(TextReader reader) {
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171 | SupportVectorMachineModel model = new SupportVectorMachineModel();
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172 | while (reader.ReadLine().Trim() != "RangeTransform:") ; // read until line "RangeTransform";
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173 | model.RangeTransform = SVM.RangeTransform.Read(reader);
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174 | // read until "Model:"
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175 | while (reader.ReadLine().Trim() != "Model:") ;
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176 | model.Model = SVM.Model.Read(reader);
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177 | return model;
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178 | }
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179 | }
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180 | }
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