source: trunk/sources/HeuristicLab.Problems.DataAnalysis.Views/3.4/Regression/RegressionSolutionResidualHistogram.cs @ 8098

Last change on this file since 8098 was 8098, checked in by mkommend, 10 years ago

#1708: Minor modifications in residual histogram` view.

File size: 10.5 KB
Line 
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
22using System;
23using System.Collections.Generic;
24using System.Drawing;
25using System.Linq;
26using System.Windows.Forms;
27using System.Windows.Forms.DataVisualization.Charting;
28using HeuristicLab.MainForm;
29using HeuristicLab.MainForm.WindowsForms;
30
31namespace 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 readonly 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 readonly 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 realMax = Math.Max(Math.Abs(residuals[ALL_SAMPLES].Min()), Math.Abs(residuals[ALL_SAMPLES].Max()));
96        double roundedMax = HumanRoundMax(realMax);
97        double intervalWidth = (roundedMax * 2.0) / bins;
98        intervalWidth = HumanRoundMax(intervalWidth);
99        // sets roundedMax to a value, so that zero will be in the middle of the x axis
100        double help = realMax / intervalWidth;
101        help = help % 1 < 0.5 ? (int)help : (int)help + 1;
102        roundedMax = help * intervalWidth;
103
104        foreach (string series in ALL_SERIES) {
105          CalculateFrequencies(residuals[series], series, roundedMax, intervalWidth);
106          if (!series.Equals(ALL_SAMPLES))
107            ShowValues(chart.Series[series], relativeFrequencies[series]);
108        }
109
110        ChartArea chartArea = chart.ChartAreas[0];
111        chartArea.AxisX.Minimum = -roundedMax - intervalWidth;
112        chartArea.AxisX.Maximum = roundedMax + intervalWidth;
113        // get the highest frequency of a residual of any series
114        chartArea.AxisY.Maximum = (from series in relativeFrequencies.Values
115                                   select (from residual in series
116                                           select residual.ElementAt(1)).Max()).Max();
117        if (chartArea.AxisY.Maximum < 0.1) {
118          chartArea.AxisY.Interval = 0.01;
119          chartArea.AxisY.Maximum = Math.Ceiling(chartArea.AxisY.Maximum * 100) / 100;
120        } else {
121          chartArea.AxisY.Interval = 0.1;
122          chartArea.AxisY.Maximum = Math.Ceiling(chartArea.AxisY.Maximum * 10) / 10;
123        }
124        chartArea.AxisX.Interval = intervalWidth;
125        int curBins = (int)Math.Round((roundedMax * 2) / intervalWidth);
126        //shifts the x axis label so that zero is in the middle
127        if (curBins % 2 == 0)
128          chartArea.AxisX.IntervalOffset = intervalWidth;
129        else
130          chartArea.AxisX.IntervalOffset = intervalWidth / 2;
131      }
132    }
133
134    private Dictionary<string, List<double>> CalculateResiduals() {
135      Dictionary<string, List<double>> residuals = new Dictionary<string, List<double>>();
136
137      foreach (string series in ALL_SERIES) {
138        residuals[series] = new List<double>();
139      }
140      IRegressionProblemData problemdata = Content.ProblemData;
141      List<double> targetValues = problemdata.Dataset.GetDoubleValues(Content.ProblemData.TargetVariable).ToList();
142      List<double> estimatedValues = Content.EstimatedValues.ToList();
143
144      for (int i = 0; i < Content.ProblemData.Dataset.Rows; i++) {
145        double residual = estimatedValues[i] - targetValues[i];
146        residuals[ALL_SAMPLES].Add(residual);
147        if (i >= problemdata.TrainingPartition.Start && i < problemdata.TrainingPartition.End)
148          residuals[TRAINING_SAMPLES].Add(residual);
149        if (i >= problemdata.TestPartition.Start && i < problemdata.TestPartition.End)
150          residuals[TEST_SAMPLES].Add(residual);
151      }
152      return residuals;
153    }
154
155    private void CalculateFrequencies(List<double> residualValues, string series, double max, double intervalWidth) {
156      double intervalCenter = intervalWidth / 2.0;
157      double sampleCount = residualValues.Count;
158      double current = -max;
159
160      for (int i = 0; i <= bins; i++) {
161        IEnumerable<double> help = residualValues.Where(x => x >= (current - intervalCenter) && x < (current + intervalCenter));
162        relativeFrequencies[series].Add(new List<double>() { current, help.Count() / sampleCount, current - intervalCenter, current + intervalCenter });
163        current += intervalWidth;
164      }
165    }
166
167    private double HumanRoundMax(double max) {
168      double base10;
169      if (max > 0) base10 = Math.Pow(10.0, Math.Floor(Math.Log10(max)));
170      else base10 = Math.Pow(10.0, Math.Ceiling(Math.Log10(-max)));
171      double rounding = (max > 0) ? base10 : -base10;
172      while (rounding < max) rounding += base10;
173      return rounding;
174    }
175
176    #region events
177    protected override void RegisterContentEvents() {
178      base.RegisterContentEvents();
179      Content.ModelChanged += new EventHandler(Content_ModelChanged);
180      Content.ProblemDataChanged += new EventHandler(Content_ProblemDataChanged);
181    }
182    protected override void DeregisterContentEvents() {
183      base.DeregisterContentEvents();
184      Content.ModelChanged -= new EventHandler(Content_ModelChanged);
185      Content.ProblemDataChanged -= new EventHandler(Content_ProblemDataChanged);
186    }
187
188    protected override void OnContentChanged() {
189      base.OnContentChanged();
190      RedrawChart();
191    }
192    private void Content_ProblemDataChanged(object sender, EventArgs e) {
193      RedrawChart();
194    }
195    private void Content_ModelChanged(object sender, EventArgs e) {
196      RedrawChart();
197    }
198    private void chart_MouseDown(object sender, MouseEventArgs e) {
199      HitTestResult result = chart.HitTest(e.X, e.Y);
200      if (result.ChartElementType == ChartElementType.LegendItem) {
201        ToggleSeriesData(result.Series);
202      }
203    }
204    private void chart_MouseMove(object sender, MouseEventArgs e) {
205      HitTestResult result = chart.HitTest(e.X, e.Y);
206      if (result.ChartElementType == ChartElementType.LegendItem)
207        Cursor = Cursors.Hand;
208      else
209        Cursor = Cursors.Default;
210    }
211    private void chart_CustomizeLegend(object sender, CustomizeLegendEventArgs e) {
212      if (chart.Series.Count != 3) return;
213      e.LegendItems[0].Cells[1].ForeColor = chart.Series[ALL_SAMPLES].Points.Count == 0 ? Color.Gray : Color.Black;
214      e.LegendItems[1].Cells[1].ForeColor = chart.Series[TRAINING_SAMPLES].Points.Count == 0 ? Color.Gray : Color.Black;
215      e.LegendItems[2].Cells[1].ForeColor = chart.Series[TEST_SAMPLES].Points.Count == 0 ? Color.Gray : Color.Black;
216    }
217    #endregion
218
219    private void ToggleSeriesData(Series series) {
220      if (series.Points.Count > 0) {  //checks if series is shown
221        if (chart.Series.Any(s => s != series && s.Points.Count > 0)) {
222          series.Points.Clear();
223        }
224      } else if (Content != null) {
225        ShowValues(series, relativeFrequencies[series.Name]);
226        chart.Legends[series.Legend].ForeColor = Color.Black;
227        chart.Refresh();
228      }
229    }
230    private void ShowValues(Series series, List<List<double>> relativeSeriesFrequencies) {
231      DataPointCollection seriesPoints = series.Points;
232
233      foreach (var valueList in relativeSeriesFrequencies) {
234        seriesPoints.AddXY(valueList[0], valueList[1]);
235        seriesPoints[seriesPoints.Count - 1]["from"] = valueList[2].ToString();
236        seriesPoints[seriesPoints.Count - 1]["to"] = valueList[3].ToString();
237      }
238    }
239  }
240}
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