1 | #region License Information
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2 | /* HeuristicLab
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3 | * Copyright (C) 2002-2013 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;
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24 | using System.Collections.Generic;
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25 | using System.Linq;
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26 | using HeuristicLab.Common;
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27 | using HeuristicLab.Core;
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28 | using HeuristicLab.DataPreprocessing;
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29 | using HeuristicLab.Problems.DataAnalysis;
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30 |
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31 | namespace HeuristicLab.DataPreprocessing {
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32 | [Item("PreprocessingData", "Represents data used for preprocessing.")]
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33 | public class PreprocessingData : NamedItem, IPreprocessingData {
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34 |
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35 | private IDictionary<string, IList> variableValues;
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36 |
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37 | private IList<string> variableNames;
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38 |
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39 | private IDictionary<string, int> variableNameIndices;
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40 |
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41 | private double trainingToTestRatio;
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42 |
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43 | private PreprocessingData(PreprocessingData original, Cloner cloner)
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44 | : base(original, cloner) {
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45 | variableValues = new Dictionary<string, IList>(variableValues);
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46 | variableNameIndices = new Dictionary<string, int>(variableNameIndices);
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47 | }
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48 |
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49 | public PreprocessingData(IDataAnalysisProblemData problemData)
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50 | : base() {
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51 | Name = "-";
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52 |
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53 | variableNames = new List<string>(problemData.Dataset.VariableNames));
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54 | // create dictionary from variable name to index
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55 | variableNameIndices = new Dictionary<string, int>();
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56 | var variableNamesList = problemData.Dataset.VariableNames.ToList();
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57 | for (int i = 0; i < variableNamesList.Count; i++) {
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58 | variableNameIndices.Add(variableNamesList[i], i);
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59 | }
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60 |
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61 | // copy values
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62 | variableValues = new Dictionary<string, IList>();
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63 | foreach (var variableName in problemData.Dataset.VariableNames) {
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64 | if (problemData.Dataset.IsType<double>(variableName)) {
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65 | variableValues[variableName] = problemData.Dataset.GetDoubleValues(variableName).ToList();
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66 | } else if (problemData.Dataset.IsType<string>(variableName)) {
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67 | variableValues[variableName] = CreateColumn<string>(problemData.Dataset, variableNameIndices[variableName], x => x);
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68 | } else if (problemData.Dataset.IsType<DateTime>(variableName)) {
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69 | variableValues[variableName] = CreateColumn<DateTime>(problemData.Dataset, variableNameIndices[variableName], x => DateTime.Parse(x));
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70 | } else {
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71 | throw new ArgumentException("The datatype of column " + variableName + " must be of type List<double>, List<string> or List<DateTime>");
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72 | }
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73 | }
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74 |
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75 | trainingToTestRatio = (double)problemData.TrainingPartition.Size / problemData.TestPartition.Size;
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76 | Columns = problemData.Dataset.Columns;
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77 | Rows = problemData.Dataset.Rows;
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78 | }
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79 |
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80 | private static IList CreateColumn<T>(Dataset ds, int column, Func<string, T> selector) {
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81 | var list = new List<T>(ds.Rows);
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82 | for (int row = 0; row < ds.Rows; row++) {
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83 | list[row] = selector(ds.GetValue(row, column));
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84 | }
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85 | return list;
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86 | }
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87 |
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88 | #region NamedItem abstract Member Implementations
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89 |
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90 | public override IDeepCloneable Clone(Cloner cloner) {
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91 | return new PreprocessingData(this, cloner);
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92 | }
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93 |
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94 | #endregion
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95 |
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96 | #region IPreprocessingData Members
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97 |
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98 | public T GetCell<T>(int columnIndex, int rowIndex) {
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99 | return (T)variableValues[variableNames[columnIndex]][rowIndex];
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100 | }
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101 |
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102 | public void SetCell<T>(int columnIndex, int rowIndex, T value) {
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103 | throw new NotImplementedException();
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104 | }
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105 |
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106 | public T GetCell<T>(string variableName, int row) {
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107 | throw new NotImplementedException();
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108 | }
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109 |
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110 | public void SetCell<T>(string variableName, int row, T value) {
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111 | throw new NotImplementedException();
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112 | }
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113 |
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114 | public IEnumerable<T> GetValues<T>(int columnIndex) {
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115 | throw new NotImplementedException();
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116 | }
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117 |
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118 | public IEnumerable<T> GetValues<T>(string variableName) {
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119 | throw new NotImplementedException();
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120 | }
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121 |
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122 | public void SetValues<T>(int columnIndex, IEnumerable<T> values) {
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123 | throw new NotImplementedException();
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124 | }
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125 |
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126 | public void SetValues<T>(string variableName, IEnumerable<T> values) {
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127 | throw new NotImplementedException();
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128 | }
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129 |
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130 | public void InsertRow(int rowIndex) {
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131 | throw new NotImplementedException();
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132 | }
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133 |
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134 | public void DeleteRow(int rowIndex) {
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135 | throw new NotImplementedException();
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136 | }
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137 |
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138 | public void InsertColumn(string variableName, int columnIndex) {
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139 | throw new NotImplementedException();
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140 | }
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141 |
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142 | public void DeleteColumn(int columnIndex) {
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143 | throw new NotImplementedException();
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144 | }
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145 |
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146 | public void DeleteColumn(string variableName) {
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147 | throw new NotImplementedException();
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148 | }
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149 |
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150 | IEnumerable<string> IPreprocessingData.VariableNames {
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151 | get { throw new NotImplementedException(); }
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152 | }
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153 |
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154 | public bool IsType<T>(int columnIndex) {
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155 | throw new NotImplementedException();
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156 | }
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157 |
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158 | public bool IsType<T>(string variableName) {
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159 | throw new NotImplementedException();
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160 | }
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161 |
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162 | public int Columns {
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163 | get;
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164 | private set;
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165 | }
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166 |
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167 | public int Rows {
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168 | get;
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169 | private set;
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170 | }
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171 |
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172 | public void ExportTo(IDataAnalysisProblemData problemData) {
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173 | throw new NotImplementedException();
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174 | }
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175 |
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176 | #endregion
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177 | }
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178 | }
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