1 | #region License Information
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2 | /* HeuristicLab
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3 | * Copyright (C) 2002-2011 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 | using System;
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22 | using System.Collections.Generic;
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23 | using System.Drawing;
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24 | using System.Linq;
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25 | using System.Windows.Forms;
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26 | using System.Windows.Forms.DataVisualization.Charting;
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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("Regression solution scatter plot")]
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32 | [Content(typeof(IRegressionSolution))]
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33 | public partial class RegressionSolutionScatterPlotView : AsynchronousContentView {
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34 | private const string ALL_SERIES = "All samples";
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35 | private const string TRAINING_SERIES = "Training samples";
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36 | private const string TEST_SERIES = "Test samples";
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37 |
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38 | public new IRegressionSolution Content {
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39 | get { return (IRegressionSolution)base.Content; }
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40 | set { base.Content = value; }
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41 | }
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42 |
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43 | public RegressionSolutionScatterPlotView()
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44 | : base() {
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45 | InitializeComponent();
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46 |
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47 | this.chart.Series.Add(ALL_SERIES);
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48 | this.chart.Series[ALL_SERIES].LegendText = ALL_SERIES;
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49 | this.chart.Series[ALL_SERIES].ChartType = SeriesChartType.FastPoint;
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50 |
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51 | this.chart.Series.Add(TRAINING_SERIES);
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52 | this.chart.Series[TRAINING_SERIES].LegendText = TRAINING_SERIES;
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53 | this.chart.Series[TRAINING_SERIES].ChartType = SeriesChartType.FastPoint;
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54 | this.chart.Series[TRAINING_SERIES].Points.Add(1.0);
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55 |
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56 | this.chart.Series.Add(TEST_SERIES);
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57 | this.chart.Series[TEST_SERIES].LegendText = TEST_SERIES;
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58 | this.chart.Series[TEST_SERIES].ChartType = SeriesChartType.FastPoint;
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59 |
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60 | this.chart.TextAntiAliasingQuality = TextAntiAliasingQuality.High;
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61 | this.chart.AxisViewChanged += new EventHandler<System.Windows.Forms.DataVisualization.Charting.ViewEventArgs>(chart_AxisViewChanged);
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62 |
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63 | //configure axis
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64 | this.chart.CustomizeAllChartAreas();
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65 | this.chart.ChartAreas[0].AxisX.Title = "Estimated Values";
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66 | this.chart.ChartAreas[0].CursorX.IsUserSelectionEnabled = true;
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67 | this.chart.ChartAreas[0].AxisX.ScaleView.Zoomable = true;
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68 | this.chart.ChartAreas[0].CursorX.Interval = 1;
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69 | this.chart.ChartAreas[0].CursorY.Interval = 1;
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70 |
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71 | this.chart.ChartAreas[0].AxisY.Title = "Target Values";
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72 | this.chart.ChartAreas[0].CursorY.IsUserSelectionEnabled = true;
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73 | this.chart.ChartAreas[0].AxisY.ScaleView.Zoomable = true;
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74 | this.chart.ChartAreas[0].AxisY.IsStartedFromZero = true;
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75 | }
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76 |
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77 | protected override void RegisterContentEvents() {
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78 | base.RegisterContentEvents();
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79 | Content.ModelChanged += new EventHandler(Content_ModelChanged);
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80 | Content.ProblemDataChanged += new EventHandler(Content_ProblemDataChanged);
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81 | }
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82 | protected override void DeregisterContentEvents() {
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83 | base.DeregisterContentEvents();
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84 | Content.ModelChanged -= new EventHandler(Content_ModelChanged);
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85 | Content.ProblemDataChanged -= new EventHandler(Content_ProblemDataChanged);
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86 | }
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87 |
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88 |
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89 | private void Content_ProblemDataChanged(object sender, EventArgs e) {
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90 | UpdateChart();
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91 | }
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92 | private void Content_ModelChanged(object sender, EventArgs e) {
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93 | UpdateSeries();
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94 | }
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95 |
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96 | protected override void OnContentChanged() {
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97 | base.OnContentChanged();
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98 | UpdateChart();
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99 | }
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100 |
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101 | private void UpdateChart() {
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102 | if (InvokeRequired) Invoke((Action)UpdateChart);
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103 | else {
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104 | if (Content != null) {
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105 | this.UpdateSeries();
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106 | if (!this.chart.Series.Any(s => s.Points.Count > 0))
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107 | this.ClearChart();
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108 | }
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109 | }
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110 | }
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111 |
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112 | private void UpdateCursorInterval() {
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113 | var estimatedValues = this.chart.Series[ALL_SERIES].Points.Select(x => x.XValue).DefaultIfEmpty(1.0);
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114 | var targetValues = this.chart.Series[ALL_SERIES].Points.Select(x => x.YValues[0]).DefaultIfEmpty(1.0);
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115 | double estimatedValuesRange = estimatedValues.Max() - estimatedValues.Min();
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116 | double targetValuesRange = targetValues.Max() - targetValues.Min();
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117 | double interestingValuesRange = Math.Min(Math.Max(targetValuesRange, 1.0), Math.Max(estimatedValuesRange, 1.0));
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118 | double digits = (int)Math.Log10(interestingValuesRange) - 3;
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119 | double zoomInterval = Math.Max(Math.Pow(10, digits), 10E-5);
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120 | this.chart.ChartAreas[0].CursorX.Interval = zoomInterval;
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121 | this.chart.ChartAreas[0].CursorY.Interval = zoomInterval;
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122 | }
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123 |
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124 |
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125 | private void UpdateSeries() {
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126 | if (InvokeRequired) Invoke((Action)UpdateSeries);
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127 | else {
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128 | string targetVariableName = Content.ProblemData.TargetVariable;
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129 | Dataset dataset = Content.ProblemData.Dataset;
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130 | if (this.chart.Series[ALL_SERIES].Points.Count > 0)
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131 | this.chart.Series[ALL_SERIES].Points.DataBindXY(Content.EstimatedValues.ToArray(), "",
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132 | dataset.GetVariableValues(targetVariableName), "");
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133 | if (this.chart.Series[TRAINING_SERIES].Points.Count > 0)
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134 | this.chart.Series[TRAINING_SERIES].Points.DataBindXY(Content.EstimatedTrainingValues.ToArray(), "",
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135 | dataset.GetEnumeratedVariableValues(targetVariableName, Content.ProblemData.TrainingIndizes).ToArray(), "");
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136 | if (this.chart.Series[TEST_SERIES].Points.Count > 0)
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137 | this.chart.Series[TEST_SERIES].Points.DataBindXY(Content.EstimatedTestValues.ToArray(), "",
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138 | dataset.GetEnumeratedVariableValues(targetVariableName, Content.ProblemData.TestIndizes).ToArray(), "");
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139 |
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140 | double max = Math.Max(Content.EstimatedValues.Max(), dataset.GetVariableValues(targetVariableName).Max());
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141 | double min = Math.Min(Content.EstimatedValues.Min(), dataset.GetVariableValues(targetVariableName).Min());
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142 |
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143 | max = max + 0.2 * Math.Abs(max);
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144 | min = min - 0.2 * Math.Abs(min);
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145 |
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146 | double interestingValuesRange = max - min;
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147 | int digits = Math.Max(0, 3 - (int)Math.Log10(interestingValuesRange));
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148 |
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149 | max = Math.Round(max, digits);
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150 | min = Math.Round(min, digits);
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151 |
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152 | this.chart.ChartAreas[0].AxisX.Maximum = max;
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153 | this.chart.ChartAreas[0].AxisX.Minimum = min;
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154 | this.chart.ChartAreas[0].AxisY.Maximum = max;
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155 | this.chart.ChartAreas[0].AxisY.Minimum = min;
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156 | UpdateCursorInterval();
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157 | }
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158 | }
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159 |
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160 | private void ClearChart() {
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161 | this.chart.Series[ALL_SERIES].Points.Clear();
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162 | this.chart.Series[TRAINING_SERIES].Points.Clear();
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163 | this.chart.Series[TEST_SERIES].Points.Clear();
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164 | }
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165 |
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166 | private void ToggleSeriesData(Series series) {
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167 | if (series.Points.Count > 0) { //checks if series is shown
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168 | if (this.chart.Series.Any(s => s != series && s.Points.Count > 0)) {
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169 | series.Points.Clear();
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170 | }
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171 | } else if (Content != null) {
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172 | string targetVariableName = Content.ProblemData.TargetVariable;
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173 |
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174 | IEnumerable<double> predictedValues = null;
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175 | IEnumerable<double> targetValues = null;
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176 | switch (series.Name) {
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177 | case ALL_SERIES:
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178 | predictedValues = Content.EstimatedValues.ToArray();
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179 | targetValues = Content.ProblemData.Dataset.GetVariableValues(targetVariableName);
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180 | break;
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181 | case TRAINING_SERIES:
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182 | predictedValues = Content.EstimatedTrainingValues.ToArray();
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183 | targetValues = Content.ProblemData.Dataset.GetEnumeratedVariableValues(targetVariableName, Content.ProblemData.TrainingIndizes).ToArray();
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184 | break;
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185 | case TEST_SERIES:
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186 | predictedValues = Content.EstimatedTestValues.ToArray();
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187 | targetValues = Content.ProblemData.Dataset.GetEnumeratedVariableValues(targetVariableName, Content.ProblemData.TestIndizes).ToArray();
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188 | break;
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189 | }
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190 | series.Points.DataBindXY(predictedValues, "", targetValues, "");
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191 | this.chart.Legends[series.Legend].ForeColor = Color.Black;
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192 | UpdateCursorInterval();
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193 | }
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194 | }
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195 |
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196 | private void chart_MouseDown(object sender, MouseEventArgs e) {
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197 | HitTestResult result = chart.HitTest(e.X, e.Y);
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198 | if (result.ChartElementType == ChartElementType.LegendItem) {
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199 | this.ToggleSeriesData(result.Series);
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200 | }
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201 | }
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202 |
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203 | private void chart_MouseMove(object sender, MouseEventArgs e) {
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204 | HitTestResult result = chart.HitTest(e.X, e.Y);
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205 | if (result.ChartElementType == ChartElementType.LegendItem)
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206 | this.Cursor = Cursors.Hand;
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207 | else
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208 | this.Cursor = Cursors.Default;
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209 | }
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210 |
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211 | private void chart_AxisViewChanged(object sender, System.Windows.Forms.DataVisualization.Charting.ViewEventArgs e) {
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212 | this.chart.ChartAreas[0].AxisX.ScaleView.Size = e.NewSize;
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213 | this.chart.ChartAreas[0].AxisY.ScaleView.Size = e.NewSize;
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214 | }
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215 |
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216 | private void chart_CustomizeLegend(object sender, CustomizeLegendEventArgs e) {
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217 | e.LegendItems[0].Cells[1].ForeColor = this.chart.Series[ALL_SERIES].Points.Count == 0 ? Color.Gray : Color.Black;
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218 | e.LegendItems[1].Cells[1].ForeColor = this.chart.Series[TRAINING_SERIES].Points.Count == 0 ? Color.Gray : Color.Black;
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219 | e.LegendItems[2].Cells[1].ForeColor = this.chart.Series[TEST_SERIES].Points.Count == 0 ? Color.Gray : Color.Black;
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220 | }
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221 | }
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222 | }
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