1 | #region License Information
|
---|
2 | /* HeuristicLab
|
---|
3 | * Copyright (C) 2002-2012 Heuristic and Evolutionary Algorithms Laboratory (HEAL)
|
---|
4 | *
|
---|
5 | * This file is part of HeuristicLab.
|
---|
6 | *
|
---|
7 | * HeuristicLab is free software: you can redistribute it and/or modify
|
---|
8 | * it under the terms of the GNU General Public License as published by
|
---|
9 | * the Free Software Foundation, either version 3 of the License, or
|
---|
10 | * (at your option) any later version.
|
---|
11 | *
|
---|
12 | * HeuristicLab is distributed in the hope that it will be useful,
|
---|
13 | * but WITHOUT ANY WARRANTY; without even the implied warranty of
|
---|
14 | * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
|
---|
15 | * GNU General Public License for more details.
|
---|
16 | *
|
---|
17 | * You should have received a copy of the GNU General Public License
|
---|
18 | * along with HeuristicLab. If not, see <http://www.gnu.org/licenses/>.
|
---|
19 | */
|
---|
20 | #endregion
|
---|
21 |
|
---|
22 | using System;
|
---|
23 | using System.Collections.Generic;
|
---|
24 | using System.Drawing;
|
---|
25 | using System.Linq;
|
---|
26 | using System.Windows.Forms;
|
---|
27 | using System.Windows.Forms.DataVisualization.Charting;
|
---|
28 | using HeuristicLab.MainForm;
|
---|
29 | using HeuristicLab.MainForm.WindowsForms;
|
---|
30 |
|
---|
31 | namespace HeuristicLab.Problems.DataAnalysis.Views {
|
---|
32 | [View("Residual Histogram")]
|
---|
33 | [Content(typeof(IRegressionSolution))]
|
---|
34 | public partial class RegressionSolutionResidualHistogram : DataAnalysisSolutionEvaluationView {
|
---|
35 |
|
---|
36 | #region variables
|
---|
37 | protected const string ALL_SAMPLES = "All samples";
|
---|
38 | protected const string TRAINING_SAMPLES = "Training samples";
|
---|
39 | protected const string TEST_SAMPLES = "Test samples";
|
---|
40 | /// <summary>
|
---|
41 | /// used to reduce code duplication
|
---|
42 | /// </summary>
|
---|
43 | protected static string[] ALL_SERIES = new string[] { ALL_SAMPLES, TRAINING_SAMPLES, TEST_SAMPLES };
|
---|
44 | /// <summary>
|
---|
45 | /// approximate amount of bins
|
---|
46 | /// </summary>
|
---|
47 | protected const double bins = 25;
|
---|
48 | /// <summary>
|
---|
49 | /// keeps for all series a list for every bin with the position of the bin, the relative frequency of the
|
---|
50 | /// residuals and the beginning and the end of the interval of the bin
|
---|
51 | /// </summary>
|
---|
52 | protected Dictionary<string, List<List<double>>> relativeFrequencies;
|
---|
53 | #endregion
|
---|
54 |
|
---|
55 | public new IRegressionSolution Content {
|
---|
56 | get { return (IRegressionSolution)base.Content; }
|
---|
57 | set { base.Content = value; }
|
---|
58 | }
|
---|
59 |
|
---|
60 | public RegressionSolutionResidualHistogram()
|
---|
61 | : base() {
|
---|
62 | InitializeComponent();
|
---|
63 | relativeFrequencies = new Dictionary<string, List<List<double>>>();
|
---|
64 | foreach (string series in ALL_SERIES) {
|
---|
65 | chart.Series.Add(series);
|
---|
66 | chart.Series[series].LegendText = series;
|
---|
67 | chart.Series[series].ChartType = SeriesChartType.Column;
|
---|
68 | chart.Series[series]["PointWidth"] = "0.9";
|
---|
69 | chart.Series[series].BorderWidth = 1;
|
---|
70 | chart.Series[series].BorderDashStyle = ChartDashStyle.Solid;
|
---|
71 | chart.Series[series].BorderColor = Color.Black;
|
---|
72 | chart.Series[series].ToolTip = series + " Y = #VALY from #CUSTOMPROPERTY(from) to #CUSTOMPROPERTY(to)";
|
---|
73 | relativeFrequencies[series] = new List<List<double>>();
|
---|
74 | }
|
---|
75 | //configure axis
|
---|
76 | chart.CustomizeAllChartAreas();
|
---|
77 | chart.ChartAreas[0].AxisX.Title = "Residuals";
|
---|
78 | chart.ChartAreas[0].CursorX.IsUserSelectionEnabled = true;
|
---|
79 | chart.ChartAreas[0].AxisX.ScaleView.Zoomable = true;
|
---|
80 | chart.ChartAreas[0].CursorX.Interval = 1;
|
---|
81 | chart.ChartAreas[0].CursorY.Interval = 1;
|
---|
82 | chart.ChartAreas[0].AxisY.Title = "Relative Frequency";
|
---|
83 | chart.ChartAreas[0].CursorY.IsUserSelectionEnabled = true;
|
---|
84 | chart.ChartAreas[0].AxisY.ScaleView.Zoomable = true;
|
---|
85 | chart.ChartAreas[0].AxisY.IsStartedFromZero = true;
|
---|
86 | }
|
---|
87 |
|
---|
88 | private void RedrawChart() {
|
---|
89 | foreach (string series in ALL_SERIES) {
|
---|
90 | chart.Series[series].Points.Clear();
|
---|
91 | relativeFrequencies[series].Clear();
|
---|
92 | }
|
---|
93 | if (Content != null) {
|
---|
94 | Dictionary<string, List<double>> residuals = CalculateResiduals();
|
---|
95 | double max = Math.Max(Math.Abs(residuals[ALL_SAMPLES].Min()), Math.Abs(residuals[ALL_SAMPLES].Max()));
|
---|
96 | double intervalWidth = (max * 2.0) / bins;
|
---|
97 | max = HumanRoundMax(max);
|
---|
98 | intervalWidth = HumanRoundMax(intervalWidth);
|
---|
99 |
|
---|
100 | foreach (string series in ALL_SERIES) {
|
---|
101 | CalculateFrequencies(residuals[series], series, max, intervalWidth);
|
---|
102 | if (!series.Equals(ALL_SAMPLES))
|
---|
103 | ShowValues(chart.Series[series], relativeFrequencies[series]);
|
---|
104 | }
|
---|
105 |
|
---|
106 | ChartArea chartArea = chart.ChartAreas[0];
|
---|
107 | chartArea.AxisX.Minimum = -max - intervalWidth;
|
---|
108 | chartArea.AxisX.Maximum = max + intervalWidth;
|
---|
109 | chartArea.AxisY.Maximum = relativeFrequencies[ALL_SAMPLES].Select(x => x.ElementAt(1)).Max() + 0.02;
|
---|
110 | chartArea.AxisY.Interval = 0.1;
|
---|
111 | chartArea.AxisX.Interval = intervalWidth;
|
---|
112 | int curBins = (int)Math.Round(max / intervalWidth);
|
---|
113 | //shifts the x axis label so that zero is in the middle
|
---|
114 | if (curBins % 2 == 0)
|
---|
115 | chartArea.AxisX.IntervalOffset = intervalWidth;
|
---|
116 | else
|
---|
117 | chartArea.AxisX.IntervalOffset = intervalWidth / 2;
|
---|
118 | }
|
---|
119 | }
|
---|
120 |
|
---|
121 | private Dictionary<string, List<double>> CalculateResiduals() {
|
---|
122 | Dictionary<string, List<double>> residuals = new Dictionary<string, List<double>>();
|
---|
123 |
|
---|
124 | foreach (string series in ALL_SERIES) {
|
---|
125 | residuals[series] = new List<double>();
|
---|
126 | }
|
---|
127 | IRegressionProblemData problemdata = Content.ProblemData;
|
---|
128 | List<double> targetValues = problemdata.Dataset.GetDoubleValues(Content.ProblemData.TargetVariable).ToList();
|
---|
129 | List<double> estimatedValues = Content.EstimatedValues.ToList();
|
---|
130 |
|
---|
131 | for (int i = 0; i < Content.ProblemData.Dataset.Rows; i++) {
|
---|
132 | double residual = estimatedValues[i] - targetValues[i];
|
---|
133 | residuals[ALL_SAMPLES].Add(residual);
|
---|
134 | if (i >= problemdata.TrainingPartition.Start && i < problemdata.TrainingPartition.End)
|
---|
135 | residuals[TRAINING_SAMPLES].Add(residual);
|
---|
136 | if (i >= problemdata.TestPartition.Start && i < problemdata.TestPartition.End)
|
---|
137 | residuals[TEST_SAMPLES].Add(residual);
|
---|
138 | }
|
---|
139 | return residuals;
|
---|
140 | }
|
---|
141 |
|
---|
142 | private void CalculateFrequencies(List<double> residualValues, string series, double max, double intervalWidth) {
|
---|
143 | //Series residualSeries = chart.Series[series];
|
---|
144 | double intervalCenter = intervalWidth / 2.0;
|
---|
145 | double sampleCount = residualValues.Count();
|
---|
146 | double current = -max;
|
---|
147 |
|
---|
148 | for (int i = 0; i <= bins; i++) {
|
---|
149 | IEnumerable<double> help = residualValues.Where(x => x >= (current - intervalCenter) && x < (current + intervalCenter));
|
---|
150 | relativeFrequencies[series].Add(new List<double>() { current, help.Count() / sampleCount, current - intervalCenter, current + intervalCenter });
|
---|
151 | current += intervalWidth;
|
---|
152 | }
|
---|
153 | //ShowValues(residualSeries, relativeFrequencies[series]);
|
---|
154 | }
|
---|
155 |
|
---|
156 | private double HumanRoundMax(double max) {
|
---|
157 | double base10;
|
---|
158 | if (max > 0) base10 = Math.Pow(10.0, Math.Floor(Math.Log10(max)));
|
---|
159 | else base10 = Math.Pow(10.0, Math.Ceiling(Math.Log10(-max)));
|
---|
160 | double rounding = (max > 0) ? base10 : -base10;
|
---|
161 | while (rounding < max) rounding += base10;
|
---|
162 | return rounding;
|
---|
163 | }
|
---|
164 |
|
---|
165 | #region events
|
---|
166 | protected override void RegisterContentEvents() {
|
---|
167 | base.RegisterContentEvents();
|
---|
168 | Content.ModelChanged += new EventHandler(Content_ModelChanged);
|
---|
169 | Content.ProblemDataChanged += new EventHandler(Content_ProblemDataChanged);
|
---|
170 | }
|
---|
171 | protected override void DeregisterContentEvents() {
|
---|
172 | base.DeregisterContentEvents();
|
---|
173 | Content.ModelChanged -= new EventHandler(Content_ModelChanged);
|
---|
174 | Content.ProblemDataChanged -= new EventHandler(Content_ProblemDataChanged);
|
---|
175 | }
|
---|
176 |
|
---|
177 | protected override void OnContentChanged() {
|
---|
178 | base.OnContentChanged();
|
---|
179 | RedrawChart();
|
---|
180 | }
|
---|
181 | private void Content_ProblemDataChanged(object sender, EventArgs e) {
|
---|
182 | RedrawChart();
|
---|
183 | }
|
---|
184 | private void Content_ModelChanged(object sender, EventArgs e) {
|
---|
185 | RedrawChart();
|
---|
186 | }
|
---|
187 | private void chart_MouseDown(object sender, MouseEventArgs e) {
|
---|
188 | HitTestResult result = chart.HitTest(e.X, e.Y);
|
---|
189 | if (result.ChartElementType == ChartElementType.LegendItem) {
|
---|
190 | ToggleSeriesData(result.Series);
|
---|
191 | }
|
---|
192 | }
|
---|
193 | private void chart_MouseMove(object sender, MouseEventArgs e) {
|
---|
194 | HitTestResult result = chart.HitTest(e.X, e.Y);
|
---|
195 | if (result.ChartElementType == ChartElementType.LegendItem)
|
---|
196 | Cursor = Cursors.Hand;
|
---|
197 | else
|
---|
198 | Cursor = Cursors.Default;
|
---|
199 | }
|
---|
200 | private void chart_CustomizeLegend(object sender, CustomizeLegendEventArgs e) {
|
---|
201 | if (chart.Series.Count != 3) return;
|
---|
202 | e.LegendItems[0].Cells[1].ForeColor = chart.Series[ALL_SAMPLES].Points.Count == 0 ? Color.Gray : Color.Black;
|
---|
203 | e.LegendItems[1].Cells[1].ForeColor = chart.Series[TRAINING_SAMPLES].Points.Count == 0 ? Color.Gray : Color.Black;
|
---|
204 | e.LegendItems[2].Cells[1].ForeColor = chart.Series[TEST_SAMPLES].Points.Count == 0 ? Color.Gray : Color.Black;
|
---|
205 | }
|
---|
206 | #endregion
|
---|
207 |
|
---|
208 | private void ToggleSeriesData(Series series) {
|
---|
209 | if (series.Points.Count > 0) { //checks if series is shown
|
---|
210 | if (chart.Series.Any(s => s != series && s.Points.Count > 0)) {
|
---|
211 | series.Points.Clear();
|
---|
212 | }
|
---|
213 | } else if (Content != null) {
|
---|
214 | ShowValues(series, relativeFrequencies[series.Name]);
|
---|
215 | chart.Legends[series.Legend].ForeColor = Color.Black;
|
---|
216 | chart.Refresh();
|
---|
217 | }
|
---|
218 | }
|
---|
219 | private void ShowValues(Series series, List<List<double>> relativeSeriesFrequencies) {
|
---|
220 | DataPointCollection seriesPoints = series.Points;
|
---|
221 |
|
---|
222 | foreach (var valueList in relativeSeriesFrequencies) {
|
---|
223 | seriesPoints.AddXY(valueList[0], valueList[1]);
|
---|
224 | seriesPoints[seriesPoints.Count - 1]["from"] = valueList[2].ToString();
|
---|
225 | seriesPoints[seriesPoints.Count - 1]["to"] = valueList[3].ToString();
|
---|
226 | }
|
---|
227 | }
|
---|
228 | }
|
---|
229 | }
|
---|