1 | #region License Information
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2 | /* HeuristicLab
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3 | * Copyright (C) 2002-2008 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 System.Text;
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26 | using HeuristicLab.Core;
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27 | using System.Collections;
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28 | using System.Xml;
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29 | using System.Runtime.Serialization;
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30 | using System.IO;
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31 | using HeuristicLab.PluginInfrastructure;
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32 | using HeuristicLab.Data;
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33 | using HeuristicLab.DataAnalysis;
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34 | using System.Drawing;
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35 | using HeuristicLab.Modeling.Database;
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36 |
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37 | namespace HeuristicLab.CEDMA.Core {
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38 | public class Results : ItemBase {
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39 | private string[] categoricalVariables = null;
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40 | public string[] CategoricalVariables {
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41 | get {
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42 | if (categoricalVariables == null) {
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43 | LoadModelAttributes();
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44 | }
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45 | return categoricalVariables;
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46 | }
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47 | }
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48 |
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49 | private string[] ordinalVariables = null;
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50 | public string[] OrdinalVariables {
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51 | get {
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52 | if (ordinalVariables == null) {
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53 | LoadModelAttributes();
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54 | }
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55 | return ordinalVariables;
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56 | }
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57 | }
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58 |
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59 | private string[] multiDimensionalOrdinalVariables;
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60 | public string[] MultiDimensionalOrdinalVariables {
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61 | get { return multiDimensionalOrdinalVariables; }
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62 | }
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63 |
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64 | private string[] multiDimensionalCategoricalVariables = new string[] { "VariableImpacts: InputVariableName" };
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65 | public string[] MultiDimensionalCategoricalVariables {
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66 | get { return multiDimensionalCategoricalVariables; }
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67 | }
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68 |
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69 | private IModelingDatabase database;
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70 |
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71 | private Dictionary<string, Dictionary<object, double>> categoricalValueIndices = new Dictionary<string, Dictionary<object, double>>();
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72 |
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73 | public Results(IModelingDatabase database) {
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74 | this.database = database;
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75 | multiDimensionalOrdinalVariables = database.GetAllResultsForInputVariables().Select(x => "VariableImpacts: " + x.Name).ToArray();
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76 | }
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77 |
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78 | private List<ResultsEntry> entries = null;
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79 | private bool cached = false;
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80 | public IEnumerable<ResultsEntry> GetEntries() {
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81 | if (!cached)
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82 | return SelectRows();
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83 | return entries.AsEnumerable();
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84 | }
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85 |
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86 | private IEnumerable<ResultsEntry> SelectRows() {
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87 | database.Connect();
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88 | entries = new List<ResultsEntry>();
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89 | foreach (var model in database.GetAllModels()) {
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90 | ResultsEntry modelEntry = new ResultsEntry();
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91 | foreach (var modelResult in database.GetModelResults(model)) {
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92 | modelEntry.Set(modelResult.Result.Name, modelResult.Value);
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93 | }
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94 | modelEntry.Set("PersistedData", database.GetModelData(model));
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95 | modelEntry.Set("TargetVariable", model.TargetVariable.Name);
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96 | Dictionary<HeuristicLab.Modeling.Database.IVariable, ResultsEntry> inputVariableResultsEntries =
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97 | new Dictionary<HeuristicLab.Modeling.Database.IVariable, ResultsEntry>();
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98 |
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99 | foreach (IInputVariableResult inputVariableResult in database.GetInputVariableResults(model)) {
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100 | if (!inputVariableResultsEntries.ContainsKey(inputVariableResult.Variable)) {
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101 | inputVariableResultsEntries[inputVariableResult.Variable] = new ResultsEntry();
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102 | inputVariableResultsEntries[inputVariableResult.Variable].Set("InputVariableName", inputVariableResult.Variable.Name);
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103 | }
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104 | inputVariableResultsEntries[inputVariableResult.Variable].Set(inputVariableResult.Result.Name, inputVariableResult.Value);
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105 | }
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106 | modelEntry.Set("VariableImpacts", inputVariableResultsEntries.Values);
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107 | entries.Add(modelEntry);
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108 | }
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109 | database.Disconnect();
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110 | FireChanged();
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111 | cached = true;
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112 | return entries;
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113 | }
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114 |
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115 | private bool IsAlmost(double x, double y) {
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116 | return Math.Abs(x - y) < 1.0E-12;
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117 | }
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118 |
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119 | internal IEnumerable<string> SelectModelAttributes() {
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120 | return CategoricalVariables.Concat(OrdinalVariables);
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121 | }
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122 |
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123 | private void LoadModelAttributes() {
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124 | ordinalVariables = database.GetAllResults().Select(r => r.Name).ToArray();
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125 | categoricalVariables = new string[] { "TargetVariable" };
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126 | }
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127 |
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128 | public double IndexOfCategoricalValue(string variable, object value) {
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129 | if (value == null) return double.NaN;
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130 | Dictionary<object, double> valueToIndexMap;
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131 | if (categoricalValueIndices.ContainsKey(variable)) {
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132 | valueToIndexMap = categoricalValueIndices[variable];
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133 | } else {
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134 | valueToIndexMap = new Dictionary<object, double>();
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135 | categoricalValueIndices[variable] = valueToIndexMap;
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136 | }
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137 | if (!valueToIndexMap.ContainsKey(value)) {
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138 | if (valueToIndexMap.Values.Count == 0) valueToIndexMap[value] = 1.0;
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139 | else valueToIndexMap[value] = 1.0 + valueToIndexMap.Values.Max();
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140 | }
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141 | return valueToIndexMap[value];
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142 | }
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143 | }
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144 | }
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