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.Data;
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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 |
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33 | [Item("PreprocessingData", "Represents data used for preprocessing.")]
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34 | public class PreprocessingData : NamedItem, IPreprocessingData {
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35 |
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36 | protected IList<IList> variableValues;
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37 |
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38 | protected IList<string> variableNames;
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39 |
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40 | protected double trainingToTestRatio;
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41 |
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42 | protected IList<ITransformation> transformations;
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43 |
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44 | protected PreprocessingData(PreprocessingData original, Cloner cloner)
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45 | : base(original, cloner) {
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46 | variableValues = CopyVariableValues(original.variableValues);
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47 | variableNames = new List<string>(original.variableNames);
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48 | trainingToTestRatio = original.trainingToTestRatio;
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49 | }
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50 |
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51 | public PreprocessingData(IDataAnalysisProblemData problemData)
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52 | : base() {
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53 | Name = "-";
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54 |
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55 | variableNames = new List<string>(problemData.Dataset.VariableNames);
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56 | // create dictionary from variable name to index
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57 |
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58 | int columnIndex = 0;
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59 | variableValues = new List<IList>();
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60 | foreach (var variableName in problemData.Dataset.VariableNames) {
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61 | if (problemData.Dataset.IsType<double>(variableName)) {
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62 | variableValues.Insert(columnIndex, problemData.Dataset.GetDoubleValues(variableName).ToList());
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63 | } else if (problemData.Dataset.IsType<string>(variableName)) {
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64 | variableValues.Insert(columnIndex, CreateColumn<string>(problemData.Dataset, columnIndex, x => x));
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65 | } else if (problemData.Dataset.IsType<DateTime>(variableName)) {
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66 | variableValues.Insert(columnIndex, CreateColumn<DateTime>(problemData.Dataset, columnIndex, x => DateTime.Parse(x)));
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67 | } else {
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68 | throw new ArgumentException("The datatype of column " + variableName + " must be of type List<double>, List<string> or List<DateTime>");
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69 | }
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70 | ++columnIndex;
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71 | }
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72 |
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73 | trainingToTestRatio = (double)problemData.TrainingPartition.Size / Math.Max(problemData.Dataset.Rows, double.Epsilon);
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74 | }
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75 |
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76 | private static IList CreateColumn<T>(Dataset ds, int column, Func<string, T> selector) {
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77 | var list = new List<T>(ds.Rows);
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78 | for (int row = 0; row < ds.Rows; ++row) {
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79 | list.Add(selector(ds.GetValue(row, column)));
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80 | }
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81 | return list;
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82 | }
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83 |
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84 | protected IList<IList> CopyVariableValues(IList<IList> original) {
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85 | var copy = new List<IList>(variableValues);
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86 | for (int i = 0; i < original.Count; ++i) {
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87 | variableValues[i] = (IList)Activator.CreateInstance(original[i].GetType(), original[i]);
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88 | }
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89 | return copy;
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90 | }
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91 |
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92 | #region NamedItem abstract Member Implementations
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93 |
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94 | public override IDeepCloneable Clone(Cloner cloner) {
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95 | return new PreprocessingData(this, cloner);
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96 | }
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97 |
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98 | #endregion
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99 |
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100 | #region IPreprocessingData Members
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101 |
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102 | public T GetCell<T>(int columnIndex, int rowIndex) {
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103 | return (T)variableValues[columnIndex][rowIndex];
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104 | }
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105 |
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106 |
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107 | public virtual void SetCell<T>(int columnIndex, int rowIndex, T value) {
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108 | variableValues[columnIndex][rowIndex] = value;
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109 | }
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110 |
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111 |
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112 | public string GetCellAsString(int columnIndex, int rowIndex) {
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113 | return variableValues[columnIndex][rowIndex].ToString();
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114 | }
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115 |
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116 |
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117 | [Obsolete("use the index based variant, is faster")]
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118 | public IList<T> GetValues<T>(string variableName) {
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119 | return GetValues<T>(GetColumnIndex(variableName));
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120 | }
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121 |
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122 | public IList<T> GetValues<T>(int columnIndex) {
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123 | return (IList<T>)variableValues[columnIndex];
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124 | }
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125 |
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126 | public virtual void SetValues<T>(int columnIndex, IList<T> values) {
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127 | if (IsType<T>(columnIndex)) {
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128 | variableValues[columnIndex] = (IList)values;
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129 | } else {
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130 | throw new ArgumentException("The datatype of column " + columnIndex + " must be of type " + variableValues[columnIndex].GetType().Name + " but was " + typeof(T).Name);
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131 | }
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132 | }
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133 |
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134 | public virtual void InsertRow(int rowIndex) {
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135 | foreach (IList column in variableValues) {
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136 | Type type = column.GetType().GetGenericArguments()[0];
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137 | column.Insert(rowIndex, type.IsValueType ? Activator.CreateInstance(type) : null);
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138 | }
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139 | }
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140 |
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141 | public virtual void DeleteRow(int rowIndex) {
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142 | foreach (IList column in variableValues) {
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143 | column.RemoveAt(rowIndex);
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144 | }
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145 | }
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146 |
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147 | public virtual void InsertColumn<T>(string variableName, int columnIndex) {
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148 | variableValues.Insert(columnIndex, new List<T>(Rows));
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149 | variableNames.Insert(columnIndex, variableName);
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150 | }
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151 |
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152 | public virtual void DeleteColumn(int columnIndex) {
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153 | variableValues.RemoveAt(columnIndex);
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154 | variableNames.RemoveAt(columnIndex);
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155 | }
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156 |
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157 | public IntRange TrainingPartition {
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158 | get { return new IntRange(0, (int)(Rows * trainingToTestRatio)); }
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159 | }
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160 |
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161 | public IntRange TestPartition {
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162 | get { return new IntRange((int)(Rows * trainingToTestRatio), Rows); }
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163 | }
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164 |
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165 | public IList<ITransformation> Transformations {
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166 | get { return transformations; }
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167 | }
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168 |
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169 | public string GetVariableName(int columnIndex) {
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170 | return variableNames[columnIndex];
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171 | }
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172 |
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173 | public IEnumerable<string> VariableNames {
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174 | get { return variableNames; }
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175 | }
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176 |
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177 | public int GetColumnIndex(string variableName) {
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178 | return variableNames.IndexOf(variableName);
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179 | }
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180 |
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181 | public bool IsType<T>(int columnIndex) {
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182 | return variableValues[columnIndex] is List<T>;
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183 | }
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184 |
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185 | public int Columns {
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186 | get { return variableNames.Count; }
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187 | }
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188 |
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189 | public int Rows {
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190 | get { return variableValues.Count > 0 ? variableValues[0].Count : 0; }
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191 | }
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192 |
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193 | public Dataset ExportToDataset() {
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194 | IList<IList> values = new List<IList>();
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195 |
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196 | for (int i = 0; i < Columns; ++i) {
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197 | values.Add(variableValues[i]);
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198 | }
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199 |
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200 | var dataset = new Dataset(variableNames, values);
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201 | return dataset;
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202 | }
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203 |
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204 | #endregion
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205 | }
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206 | }
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