1 | #region License Information
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2 | /* HeuristicLab
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3 | * Copyright (C) 2002-2019 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.Windows.Forms;
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26 | using HeuristicLab.MainForm;
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27 | using HeuristicLab.MainForm.WindowsForms;
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28 |
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29 | namespace HeuristicLab.Problems.DataAnalysis.Views {
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30 | [View("Confusion Matrix")]
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31 | [Content(typeof(IClassificationSolution))]
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32 | public partial class ClassificationSolutionConfusionMatrixView : DataAnalysisSolutionEvaluationView {
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33 | private const string TrainingSamples = "Training";
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34 | private const string TestSamples = "Test";
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35 | public ClassificationSolutionConfusionMatrixView() {
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36 | InitializeComponent();
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37 | cmbSamples.Items.Add(TrainingSamples);
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38 | cmbSamples.Items.Add(TestSamples);
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39 | cmbSamples.SelectedIndex = 0;
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40 | }
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41 |
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42 | public new IClassificationSolution Content {
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43 | get { return (IClassificationSolution)base.Content; }
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44 | set { base.Content = value; }
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45 | }
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46 |
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47 | protected override void RegisterContentEvents() {
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48 | base.RegisterContentEvents();
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49 | Content.ModelChanged += new EventHandler(Content_ModelChanged);
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50 | Content.ProblemDataChanged += new EventHandler(Content_ProblemDataChanged);
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51 | }
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52 |
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53 |
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54 | protected override void DeregisterContentEvents() {
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55 | base.DeregisterContentEvents();
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56 | Content.ModelChanged -= new EventHandler(Content_ModelChanged);
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57 | Content.ProblemDataChanged -= new EventHandler(Content_ProblemDataChanged);
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58 | }
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59 |
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60 | private void Content_ModelChanged(object sender, EventArgs e) {
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61 | FillDataGridView();
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62 | }
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63 | private void Content_ProblemDataChanged(object sender, EventArgs e) {
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64 | UpdateDataGridView();
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65 | }
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66 |
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67 | protected override void OnContentChanged() {
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68 | base.OnContentChanged();
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69 | UpdateDataGridView();
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70 | }
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71 |
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72 | private void UpdateDataGridView() {
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73 | if (InvokeRequired) Invoke((Action)UpdateDataGridView);
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74 | else {
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75 | if (Content == null) {
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76 | dataGridView.RowCount = 1;
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77 | dataGridView.ColumnCount = 1;
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78 | dataGridView.TopLeftHeaderCell.Value = string.Empty;
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79 | } else {
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80 | dataGridView.ColumnCount = Content.ProblemData.Classes + 1;
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81 | dataGridView.RowCount = Content.ProblemData.Classes + 1;
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82 |
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83 | int i = 0;
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84 | foreach (string headerText in Content.ProblemData.ClassNames) {
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85 | dataGridView.Columns[i].HeaderText = "Actual " + headerText;
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86 | dataGridView.Rows[i].HeaderCell.Value = "Predicted " + headerText;
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87 | i++;
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88 | }
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89 | dataGridView.Columns[i].HeaderText = "Actual not classified";
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90 | dataGridView.Rows[i].HeaderCell.Value = "Predicted not classified";
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91 |
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92 | dataGridView.AutoResizeColumns(DataGridViewAutoSizeColumnsMode.ColumnHeader);
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93 | dataGridView.AutoResizeRowHeadersWidth(DataGridViewRowHeadersWidthSizeMode.AutoSizeToAllHeaders);
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94 |
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95 | dataGridView.TopLeftHeaderCell.Style.Alignment = DataGridViewContentAlignment.MiddleCenter;
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96 | dataGridView.TopLeftHeaderCell.Value = Content.Model.TargetVariable;
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97 |
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98 | FillDataGridView();
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99 | }
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100 | }
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101 | }
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102 |
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103 | private void FillDataGridView() {
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104 | if (InvokeRequired) Invoke((Action)FillDataGridView);
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105 | else {
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106 | if (Content == null) return;
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107 |
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108 | double[,] confusionMatrix = new double[Content.ProblemData.Classes + 1, Content.ProblemData.Classes + 1];
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109 | IEnumerable<int> rows;
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110 |
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111 | double[] predictedValues;
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112 | if (cmbSamples.SelectedItem.ToString() == TrainingSamples) {
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113 | rows = Content.ProblemData.TrainingIndices;
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114 | predictedValues = Content.EstimatedTrainingClassValues.ToArray();
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115 | } else if (cmbSamples.SelectedItem.ToString() == TestSamples) {
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116 | rows = Content.ProblemData.TestIndices;
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117 | predictedValues = Content.EstimatedTestClassValues.ToArray();
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118 | } else throw new InvalidOperationException();
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119 |
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120 | double[] targetValues = Content.ProblemData.Dataset.GetDoubleValues(Content.ProblemData.TargetVariable, rows).ToArray();
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121 |
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122 | Dictionary<double, int> classValueIndexMapping = new Dictionary<double, int>();
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123 | int index = 0;
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124 | foreach (double classValue in Content.ProblemData.ClassValues.OrderBy(x => x)) {
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125 | classValueIndexMapping.Add(classValue, index);
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126 | index++;
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127 | }
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128 |
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129 | for (int i = 0; i < targetValues.Length; i++) {
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130 | double targetValue = targetValues[i];
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131 | double predictedValue = predictedValues[i];
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132 | int targetIndex;
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133 | int predictedIndex;
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134 | if (!classValueIndexMapping.TryGetValue(targetValue, out targetIndex)) {
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135 | targetIndex = Content.ProblemData.Classes;
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136 | }
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137 | if (!classValueIndexMapping.TryGetValue(predictedValue, out predictedIndex)) {
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138 | predictedIndex = Content.ProblemData.Classes;
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139 | }
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140 |
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141 | confusionMatrix[predictedIndex, targetIndex] += 1;
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142 | }
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143 |
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144 | for (int row = 0; row < confusionMatrix.GetLength(0); row++) {
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145 | for (int col = 0; col < confusionMatrix.GetLength(1); col++) {
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146 | //TODO add scaling to relative values;
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147 | dataGridView[col, row].Value = confusionMatrix[row, col];
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148 | }
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149 | }
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150 | }
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151 | }
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152 |
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153 | private void cmbSamples_SelectedIndexChanged(object sender, System.EventArgs e) {
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154 | FillDataGridView();
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155 | }
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156 | }
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157 | }
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