1 | #region License Information
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2 | /* HeuristicLab
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3 | * Copyright (C) 2002-2016 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.Common;
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27 | using HeuristicLab.MainForm;
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28 | using HeuristicLab.MainForm.WindowsForms;
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29 |
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30 | namespace HeuristicLab.Problems.DataAnalysis.Views {
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31 | [View("Target Response Gradient View")]
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32 | [Content(typeof(IRegressionSolution))]
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33 | public partial class RegressionSolutionTargetResponseGradientView : DataAnalysisSolutionEvaluationView {
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34 | private Dictionary<string, GradientChart> charts;
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35 | private const int Points = 1000;
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36 |
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37 | public RegressionSolutionTargetResponseGradientView() {
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38 | InitializeComponent();
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39 | }
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40 |
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41 | public new IRegressionSolution Content {
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42 | get { return (IRegressionSolution)base.Content; }
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43 | set {
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44 | if (value == null || value == Content) return;
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45 | base.Content = value;
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46 | }
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47 | }
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48 |
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49 | protected override void RegisterContentEvents() {
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50 | base.RegisterContentEvents();
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51 | variableListView.ItemChecked += variableListView_ItemChecked;
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52 | }
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53 |
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54 | protected override void DeregisterContentEvents() {
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55 | variableListView.ItemChecked -= variableListView_ItemChecked;
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56 | base.DeregisterContentEvents();
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57 | }
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58 |
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59 | protected override void OnContentChanged() {
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60 | base.OnContentChanged();
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61 | if (Content == null) return;
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62 | var pd = Content.ProblemData;
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63 | var ds = pd.Dataset;
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64 | // create dataset
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65 | var variableNames = Content.GetUsedVariablesForPrediction().ToList();
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66 | var variableValues = variableNames.Select(x => new List<double> { pd.Dataset.GetDoubleValues(x, pd.TrainingIndices).Median() });
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67 | var dataset = new ModifiableDataset(variableNames, variableValues);
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68 | // create charts
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69 | charts = new Dictionary<string, GradientChart>();
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70 | foreach (var x in variableNames) {
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71 | double min = 0, max = 0;
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72 | foreach (var v in ds.GetDoubleValues(x, pd.TrainingIndices)) {
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73 | if (v > max) max = v;
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74 | if (v < min) min = v;
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75 | }
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76 | var gradientChart = new GradientChart {
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77 | Dock = DockStyle.Fill,
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78 | Margin = Padding.Empty,
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79 | ShowLegend = false,
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80 | ShowCursor = true,
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81 | ShowXAxisLabel = true,
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82 | ShowYAxisLabel = true
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83 | };
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84 | gradientChart.VariableValueChanged += (o, e) => {
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85 | foreach (var chart in gradientChartTableLayout.Controls.Cast<GradientChart>()) {
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86 | if (chart == (GradientChart)o) continue;
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87 | chart.UpdateChart();
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88 | }
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89 | };
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90 | gradientChart.Configure(new[] { Content }, pd, dataset, x, min, max, Points);
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91 | charts[x] = gradientChart;
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92 | }
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93 | // update variable list
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94 | variableListView.Items.Clear();
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95 | variableListView.Items.AddRange(variableNames.Select(x => new ListViewItem(x, 0)).ToArray());
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96 | }
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97 | // sort chart controls so that they always appear in the same order as in the list view
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98 | // the gradient chart layout should be suspended before calling this method
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99 | private void SortControls() {
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100 | var tl = gradientChartTableLayout;
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101 | var indices = variableListView.CheckedItems.Cast<ListViewItem>().ToDictionary(checkedItem => checkedItem.Text, checkedItem => checkedItem.Index);
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102 | var count = tl.Controls.Count;
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103 | var controls = new GradientChart[count];
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104 | for (int i = 0; i < count; ++i) controls[i] = (GradientChart)tl.Controls[i];
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105 | Array.Sort(controls, (a, b) => indices[a.Variable].CompareTo(indices[b.Variable]));
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106 | tl.Controls.Clear();
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107 | tl.Controls.AddRange(controls);
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108 | }
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109 |
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110 | private void variableListView_ItemChecked(object sender, ItemCheckedEventArgs e) {
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111 | if (charts == null) return;
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112 | var item = e.Item;
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113 | var variable = item.Text;
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114 | var chart = charts[variable];
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115 | var tl = gradientChartTableLayout;
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116 | tl.SuspendLayout();
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117 | var columnWidth = tl.GetColumnWidths()[0]; // all columns have the same width
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118 | var rowHeight = 0.8f * columnWidth;
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119 | tl.RowStyles.Clear();
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120 | if (item.Checked) {
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121 | tl.Controls.Add(chart);
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122 | chart.UpdateChart();
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123 | } else {
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124 | tl.Controls.Remove(chart);
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125 | }
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126 | var count = tl.Controls.Count;
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127 | SortControls();
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128 | tl.RowCount = count / tl.ColumnCount + (count % tl.ColumnCount == 0 ? 0 : 1);
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129 | for (int i = 0; i < count; ++i) {
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130 | var control = tl.Controls[i];
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131 | int rowIndex = i / tl.ColumnCount;
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132 | int columnIndex = i % tl.ColumnCount;
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133 | tl.SetRow(control, rowIndex);
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134 | tl.SetColumn(control, columnIndex);
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135 | }
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136 | for (int i = 0; i < tl.RowCount; ++i) {
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137 | tl.RowStyles.Add(new RowStyle(SizeType.Absolute, rowHeight));
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138 | }
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139 | tl.ResumeLayout();
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140 | }
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141 | }
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142 | }
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