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.Drawing;
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25 | using System.Linq;
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26 | using System.Windows.Forms;
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27 | using System.Windows.Forms.DataVisualization.Charting;
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28 | using HeuristicLab.Collections;
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29 | using HeuristicLab.Data;
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30 | using HeuristicLab.MainForm;
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31 | using HeuristicLab.MainForm.WindowsForms;
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32 | using HeuristicLab.Problems.DataAnalysis;
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33 | using HeuristicLab.Problems.DataAnalysis.Views;
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34 | using HeuristicLab.Visualization.ChartControlsExtensions;
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35 |
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36 | namespace HeuristicLab.Algorithms.DataAnalysis.Views {
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37 | [View("Interactive Estimator")]
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38 | [Content(typeof(GaussianProcessRegressionSolution))]
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39 | public partial class GaussianProcessRegressionSolutionInteractiveRangeEstimatorView
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40 | : DataAnalysisSolutionEvaluationView {
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41 |
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42 | private const int DrawingSteps = 1000;
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43 |
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44 | private const string EstimatedMeanSeriesName = "Estimated Mean";
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45 | private const string EstimatedVarianceSeriesName = "95% Conficence Interval";
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46 |
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47 | private readonly List<string> dimensionNames;
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48 | private readonly ObservableList<DensityTrackbar> dimensionTrackbars;
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49 |
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50 | private int ActiveDimension {
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51 | get { return dimensionTrackbars.FindIndex(tb => tb.Checked); }
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52 | }
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53 |
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54 | public new GaussianProcessRegressionSolution Content {
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55 | get { return (GaussianProcessRegressionSolution)base.Content; }
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56 | set { base.Content = value; }
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57 | }
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58 |
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59 | public GaussianProcessRegressionSolutionInteractiveRangeEstimatorView()
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60 | : base() {
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61 | dimensionNames = new List<string>();
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62 |
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63 | dimensionTrackbars = new ObservableList<DensityTrackbar>();
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64 | dimensionTrackbars.ItemsAdded += (sender, args) => {
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65 | ForEach(args.Items.Select(i => i.Value), RegisterEvents);
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66 | };
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67 | dimensionTrackbars.ItemsRemoved += (sender, args) => {
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68 | ForEach(args.Items.Select(i => i.Value), DeregisterEvents);
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69 | };
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70 | dimensionTrackbars.CollectionReset += (sender, args) => {
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71 | ForEach(args.OldItems.Select(i => i.Value), DeregisterEvents);
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72 | ForEach(args.Items.Select(i => i.Value), RegisterEvents);
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73 | };
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74 |
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75 |
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76 | InitializeComponent();
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77 |
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78 | // Avoid additional horizontal scrollbar
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79 | var vertScrollWidth = SystemInformation.VerticalScrollBarWidth;
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80 | tableLayoutPanel.Padding = new Padding(0, 0, vertScrollWidth, 0);
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81 |
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82 | // Configure axis
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83 | chart.CustomizeAllChartAreas();
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84 | chart.ChartAreas[0].CursorX.IsUserSelectionEnabled = true;
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85 | chart.ChartAreas[0].AxisX.ScaleView.Zoomable = true;
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86 | chart.ChartAreas[0].CursorX.Interval = 1;
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87 |
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88 | chart.ChartAreas[0].CursorY.IsUserSelectionEnabled = true;
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89 | chart.ChartAreas[0].AxisY.ScaleView.Zoomable = true;
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90 | chart.ChartAreas[0].CursorY.Interval = 0;
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91 | }
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92 |
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93 | private void RedrawChart() {
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94 | chart.Series.Clear();
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95 | chart.ChartAreas[0].AxisX.StripLines.Clear();
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96 | if (Content == null || ActiveDimension < 0) return;
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97 |
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98 | double minX = dimensionTrackbars[ActiveDimension].Limits.Lower;
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99 | double maxX = dimensionTrackbars[ActiveDimension].Limits.Upper;
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100 | decimal stepSize = (decimal)((maxX - minX) / DrawingSteps);
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101 |
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102 | // Build dataset
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103 | var activeXs = Enumerable.Range(0, DrawingSteps).Select(i => (decimal)minX + i * stepSize).ToList();
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104 | var fixedXs = dimensionTrackbars.Select(tb => tb.Value).ToList();
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105 | var values = new double[DrawingSteps, dimensionNames.Count];
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106 | for (int r = 0; r < DrawingSteps; r++) {
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107 | for (int c = 0; c < dimensionNames.Count; c++) {
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108 | values[r, c] = (double)(c == ActiveDimension ? activeXs[r] : fixedXs[c]);
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109 | }
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110 | }
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111 | var dataset = new Dataset(dimensionNames, values);
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112 |
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113 | // Estimations
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114 | var model = Content.Model;
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115 | var means = model.GetEstimatedValues(dataset, Enumerable.Range(0, DrawingSteps)).ToList();
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116 | var variances = model.GetEstimatedVariances(dataset, Enumerable.Range(0, DrawingSteps)).ToList();
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117 |
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118 | // Charting config
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119 | chart.ChartAreas[0].AxisX.Minimum = minX;
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120 | chart.ChartAreas[0].AxisX.Maximum = maxX;
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121 | chart.ChartAreas[0].AxisX.Interval = (maxX - minX) / 10;
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122 |
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123 | // ToDo only databind and put config in codebehind
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124 | chart.Series.Add(EstimatedVarianceSeriesName);
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125 | chart.Series[EstimatedVarianceSeriesName].LegendText = EstimatedVarianceSeriesName;
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126 | chart.Series[EstimatedVarianceSeriesName].ChartType = SeriesChartType.Range;
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127 | chart.Series[EstimatedVarianceSeriesName].EmptyPointStyle.Color = chart.Series[EstimatedVarianceSeriesName].Color;
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128 |
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129 | chart.Series.Add(EstimatedMeanSeriesName);
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130 | chart.Series[EstimatedMeanSeriesName].LegendText = EstimatedMeanSeriesName;
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131 | chart.Series[EstimatedMeanSeriesName].ChartType = SeriesChartType.FastLine;
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132 |
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133 | // Charting databind
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134 | var lower = means.Zip(variances, GetLowerConfBound).ToList();
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135 | var upper = means.Zip(variances, GetUpperConfBound).ToList();
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136 | chart.Series[EstimatedVarianceSeriesName].Points.DataBindXY(activeXs, lower, upper);
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137 | chart.Series[EstimatedMeanSeriesName].Points.DataBindXY(activeXs, means);
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138 |
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139 | // Update StripLines
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140 | var trainingValues = Content.ProblemData.Dataset.GetDoubleValues(dimensionNames[ActiveDimension],
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141 | Content.ProblemData.TrainingIndices);
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142 | var trainingRange = new DoubleRange(trainingValues.Min(), trainingValues.Max());
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143 | if (minX < trainingRange.Start)
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144 | CreateAndAddStripLine(minX, trainingRange.Start, Color.FromArgb(40, 223, 58, 2), Color.Transparent);
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145 | if (maxX > trainingRange.End)
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146 | CreateAndAddStripLine(trainingRange.End, maxX, Color.FromArgb(40, 223, 58, 2), Color.Transparent);
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147 |
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148 | // Update axis description
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149 | chart.ChartAreas[0].AxisX.Title = dimensionNames[ActiveDimension];
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150 | }
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151 |
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152 | private void CreateAndAddStripLine(double start, double end, Color color, Color secondColor) {
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153 | StripLine stripLine = new StripLine {
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154 | BackColor = color,
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155 | BackSecondaryColor = secondColor,
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156 | StripWidth = end - start,
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157 | IntervalOffset = start
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158 | };
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159 | chart.ChartAreas[0].AxisX.StripLines.Add(stripLine);
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160 | }
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161 |
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162 | private void UpdateConfigurationControls() {
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163 | tableLayoutPanel.SuspendRepaint();
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164 | tableLayoutPanel.SuspendLayout();
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165 |
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166 | tableLayoutPanel.RowCount = 0;
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167 | tableLayoutPanel.Controls.Clear();
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168 |
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169 | dimensionNames.Clear();
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170 | dimensionTrackbars.Clear();
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171 |
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172 | if (Content == null) {
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173 | tableLayoutPanel.ResumeLayout(true);
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174 | tableLayoutPanel.ResumeRepaint(true);
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175 | return;
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176 | }
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177 |
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178 | dimensionNames.AddRange(Content.ProblemData.AllowedInputVariables);
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179 | var ranges = new List<DoubleLimit>();
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180 | for (int i = 0; i < dimensionNames.Count; i++) {
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181 | var values = Content.ProblemData.Dataset.GetDoubleValues(dimensionNames[i], Content.ProblemData.AllIndices);
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182 | double min, max, interval;
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183 | ChartUtil.CalculateAxisInterval(values.Min(), values.Max(), 10, out min, out max, out interval);
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184 | ranges.Add(new DoubleLimit(min, max));
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185 | }
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186 |
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187 | tableLayoutPanel.RowCount = dimensionNames.Count;
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188 | while (tableLayoutPanel.RowStyles.Count < dimensionNames.Count)
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189 | tableLayoutPanel.RowStyles.Add(new RowStyle(SizeType.AutoSize));
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190 |
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191 | for (int i = 0; i < dimensionNames.Count; i++) {
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192 | var name = dimensionNames[i];
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193 | var trainingData =
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194 | Content.ProblemData.Dataset.GetDoubleValues(name, Content.ProblemData.TrainingIndices).ToList();
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195 |
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196 | var dimensionTrackbar = new DensityTrackbar(name, ranges[i], trainingData);
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197 |
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198 | // events registered automatically
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199 | dimensionTrackbars.Add(dimensionTrackbar);
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200 |
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201 | dimensionTrackbar.Anchor = AnchorStyles.Top | AnchorStyles.Left | AnchorStyles.Right;
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202 | tableLayoutPanel.Controls.Add(dimensionTrackbar, 0, i);
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203 | }
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204 |
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205 | if (dimensionTrackbars.Any())
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206 | dimensionTrackbars.First().Checked = true;
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207 |
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208 | tableLayoutPanel.ResumeLayout(true);
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209 | tableLayoutPanel.ResumeRepaint(true);
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210 | }
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211 |
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212 | private void RegisterEvents(DensityTrackbar trackbar) {
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213 | trackbar.CheckedChanged += DimensionTrackbar_CheckedChanged;
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214 | trackbar.ValueChanged += DimensionTrackbar_ValueChanged;
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215 | trackbar.LimitsChanged += DimensionTrackbar_LimitsChanged;
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216 | }
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217 |
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218 | private void DeregisterEvents(DensityTrackbar trackbar) {
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219 | trackbar.CheckedChanged -= DimensionTrackbar_CheckedChanged;
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220 | trackbar.ValueChanged -= DimensionTrackbar_ValueChanged;
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221 | trackbar.LimitsChanged -= DimensionTrackbar_LimitsChanged;
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222 | }
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223 |
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224 | private void DimensionTrackbar_CheckedChanged(object sender, EventArgs e) {
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225 | var trackBarSender = sender as DensityTrackbar;
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226 | if (trackBarSender == null || !trackBarSender.Checked) return;
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227 | // Uncheck all others
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228 | foreach (var tb in dimensionTrackbars.Except(new[] { trackBarSender }))
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229 | tb.Checked = false;
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230 | RedrawChart();
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231 | }
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232 |
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233 | private void DimensionTrackbar_LimitsChanged(object sender, EventArgs e) {
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234 | RedrawChart();
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235 | }
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236 |
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237 | private void DimensionTrackbar_ValueChanged(object sender, EventArgs e) {
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238 | RedrawChart();
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239 | }
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240 |
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241 | #region Events
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242 |
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243 | protected override void RegisterContentEvents() {
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244 | base.RegisterContentEvents();
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245 | Content.ModelChanged += Content_ModelChanged;
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246 | Content.ProblemDataChanged += Content_ProblemDataChanged;
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247 | }
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248 |
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249 | protected override void DeregisterContentEvents() {
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250 | base.DeregisterContentEvents();
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251 | Content.ModelChanged -= Content_ModelChanged;
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252 | Content.ProblemDataChanged -= Content_ProblemDataChanged;
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253 | }
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254 |
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255 | protected override void OnContentChanged() {
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256 | base.OnContentChanged();
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257 | UpdateConfigurationControls();
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258 | RedrawChart();
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259 | }
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260 |
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261 | private void Content_ModelChanged(object sender, EventArgs e) {
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262 | RedrawChart();
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263 | }
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264 |
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265 | private void Content_ProblemDataChanged(object sender, EventArgs e) {
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266 | UpdateConfigurationControls();
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267 | RedrawChart();
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268 | }
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269 |
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270 | private void Chart_MouseDoubleClick(object sender, MouseEventArgs e) {
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271 | var result = chart.HitTest(e.X, e.Y);
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272 | if (true || result.ChartArea != null && (result.ChartElementType == ChartElementType.PlottingArea ||
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273 | result.ChartElementType == ChartElementType.Gridlines) ||
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274 | result.ChartElementType == ChartElementType.StripLines) {
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275 | foreach (var axis in result.ChartArea.Axes)
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276 | axis.ScaleView.ZoomReset(int.MaxValue);
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277 | }
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278 | }
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279 |
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280 | private void chart_MouseMove(object sender, MouseEventArgs e) {
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281 | //HitTestResult result = chart.HitTest(e.X, e.Y);
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282 | //if (result.ChartElementType == ChartElementType.LegendItem && result.Series.Name != TARGETVARIABLE_SERIES_NAME)
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283 | // Cursor = Cursors.Hand;
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284 | //else
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285 | // Cursor = Cursors.Default;
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286 | }
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287 |
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288 | private void chart_MouseDown(object sender, MouseEventArgs e) {
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289 | //HitTestResult result = chart.HitTest(e.X, e.Y);
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290 | //if (result.ChartElementType == ChartElementType.LegendItem && result.Series.Name != TARGETVARIABLE_SERIES_NAME) {
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291 | // ToggleSeriesData(result.Series);
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292 | //}
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293 | }
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294 |
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295 | private void chart_CustomizeLegend(object sender, CustomizeLegendEventArgs e) {
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296 | //if (chart.Series.Count != 4) return;
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297 | //e.LegendItems[0].Cells[1].ForeColor = this.chart.Series[EstimatedMeanSeriesName].Points.Count == 0 ? Color.Gray : Color.Black;
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298 | //e.LegendItems[1].Cells[1].ForeColor = this.chart.Series[ESTIMATEDVALUES_TEST_SERIES_NAME].Points.Count == 0 ? Color.Gray : Color.Black;
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299 | //e.LegendItems[2].Cells[1].ForeColor = this.chart.Series[ESTIMATEDVALUES_ALL_SERIES_NAME].Points.Count == 0 ? Color.Gray : Color.Black;
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300 | //e.LegendItems[3].Cells[1].ForeColor = this.chart.Series[TARGETVARIABLE_SERIES_NAME].Points.Count == 0 ? Color.Gray : Color.Black;
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301 | }
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302 |
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303 | #endregion
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304 |
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305 | #region Helper
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306 |
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307 | private double GetLowerConfBound(double m, double s2) {
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308 | return m - 1.96 * Math.Sqrt(s2);
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309 | }
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310 |
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311 | private double GetUpperConfBound(double m, double s2) {
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312 | return m + 1.96 * Math.Sqrt(s2);
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313 | }
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314 |
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315 | public static void ForEach<T>(IEnumerable<T> source, Action<T> action) {
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316 | foreach (T item in source)
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317 | action(item);
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318 | }
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319 |
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320 | #endregion
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321 | }
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322 | }
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