source: branches/symbreg-factors-2650/HeuristicLab.Problems.DataAnalysis.Views/3.4/Regression/RegressionSolutionResidualHistogram.cs @ 14277

Last change on this file since 14277 was 14277, checked in by gkronber, 5 years ago

#2650: merged r14245:14273 from trunk to branch (fixing conflicts in RegressionSolutionTargetResponseGradientView)

File size: 10.1 KB
Line 
1#region License Information
2/* HeuristicLab
3 * Copyright (C) 2002-2016 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    /// approximate amount of bins
42    /// </summary>
43    protected const double bins = 25;
44    #endregion
45
46    public new IRegressionSolution Content {
47      get { return (IRegressionSolution)base.Content; }
48      set { base.Content = value; }
49    }
50
51    public RegressionSolutionResidualHistogram()
52      : base() {
53      InitializeComponent();
54      foreach (string series in new List<String>() { ALL_SAMPLES, TRAINING_SAMPLES, TEST_SAMPLES }) {
55        chart.Series.Add(series);
56        chart.Series[series].LegendText = series;
57        chart.Series[series].ChartType = SeriesChartType.Column;
58        chart.Series[series]["PointWidth"] = "0.9";
59        chart.Series[series].BorderWidth = 1;
60        chart.Series[series].BorderDashStyle = ChartDashStyle.Solid;
61        chart.Series[series].BorderColor = Color.Black;
62        chart.Series[series].ToolTip = series + " Y = #VALY from #CUSTOMPROPERTY(from) to #CUSTOMPROPERTY(to)";
63      }
64      //configure axis
65      chart.CustomizeAllChartAreas();
66      chart.ChartAreas[0].AxisX.Title = "Residuals";
67      chart.ChartAreas[0].CursorX.IsUserSelectionEnabled = true;
68      chart.ChartAreas[0].AxisX.ScaleView.Zoomable = true;
69      chart.ChartAreas[0].CursorX.Interval = 1;
70      chart.ChartAreas[0].CursorY.Interval = 1;
71      chart.ChartAreas[0].AxisY.Title = "Relative Frequency";
72      chart.ChartAreas[0].CursorY.IsUserSelectionEnabled = true;
73      chart.ChartAreas[0].AxisY.ScaleView.Zoomable = true;
74      chart.ChartAreas[0].AxisY.IsStartedFromZero = true;
75    }
76
77    private void RedrawChart() {
78      foreach (Series series in chart.Series) {
79        series.Points.Clear();
80      }
81      if (Content != null) {
82        List<double> residuals = CalculateResiduals(Content);
83
84        double max = 0.0;
85        foreach (Series series in chart.Series) {
86          CalculateFrequencies(residuals, series);
87          double seriesMax = series.Points.Select(p => p.YValues.First()).Max();
88          max = max < seriesMax ? seriesMax : max;
89        }
90
91        // ALL_SAMPLES has to be calculated to know its highest frequency, but it is not shown in the beginning
92        chart.Series.First(s => s.Name.Equals(ALL_SAMPLES)).Points.Clear();
93
94        double roundedMax, intervalWidth;
95        CalculateResidualParameters(residuals, out roundedMax, out intervalWidth);
96
97        ChartArea chartArea = chart.ChartAreas[0];
98        chartArea.AxisX.Title = string.Format("Residuals ({0})", Content.ProblemData.TargetVariable);
99        chartArea.AxisX.Minimum = -roundedMax - intervalWidth;
100        chartArea.AxisX.Maximum = roundedMax + intervalWidth;
101        // get the highest frequency of a residual of any series
102        chartArea.AxisY.Maximum = max;
103        if (chartArea.AxisY.Maximum < 0.1) {
104          chartArea.AxisY.Interval = 0.01;
105          chartArea.AxisY.Maximum = Math.Ceiling(chartArea.AxisY.Maximum * 100) / 100;
106        } else {
107          chartArea.AxisY.Interval = 0.1;
108          chartArea.AxisY.Maximum = Math.Ceiling(chartArea.AxisY.Maximum * 10) / 10;
109        }
110        chartArea.AxisX.Interval = intervalWidth;
111        int curBins = (int)Math.Round((roundedMax * 2) / intervalWidth);
112        //shifts the x axis label so that zero is in the middle
113        if (curBins % 2 == 0)
114          chartArea.AxisX.IntervalOffset = intervalWidth;
115        else
116          chartArea.AxisX.IntervalOffset = intervalWidth / 2;
117      }
118    }
119
120    private List<double> CalculateResiduals(IRegressionSolution solution) {
121      List<double> residuals = new List<double>();
122
123      IRegressionProblemData problemdata = solution.ProblemData;
124      List<double> targetValues = problemdata.Dataset.GetDoubleValues(Content.ProblemData.TargetVariable).ToList();
125      List<double> estimatedValues = solution.EstimatedValues.ToList();
126
127      for (int i = 0; i < solution.ProblemData.Dataset.Rows; i++) {
128        double residual = estimatedValues[i] - targetValues[i];
129        residuals.Add(residual);
130      }
131      return residuals;
132    }
133
134    private void CalculateFrequencies(List<double> residualValues, Series series) {
135      double roundedMax, intervalWidth;
136      CalculateResidualParameters(residualValues, out roundedMax, out intervalWidth);
137
138      IEnumerable<double> relevantResiduals = residualValues;
139      IRegressionProblemData problemdata = Content.ProblemData;
140      if (series.Name.Equals(TRAINING_SAMPLES)) {
141        relevantResiduals = residualValues.Skip(problemdata.TrainingPartition.Start).Take(problemdata.TrainingPartition.Size);
142      } else if (series.Name.Equals(TEST_SAMPLES)) {
143        relevantResiduals = residualValues.Skip(problemdata.TestPartition.Start).Take(problemdata.TestPartition.Size);
144      }
145
146      double intervalCenter = intervalWidth / 2.0;
147      double sampleCount = relevantResiduals.Count();
148      double current = -roundedMax;
149      DataPointCollection seriesPoints = series.Points;
150
151      for (int i = 0; i <= bins; i++) {
152        IEnumerable<double> help = relevantResiduals.Where(x => x >= (current - intervalCenter) && x < (current + intervalCenter));
153        seriesPoints.AddXY(current, help.Count() / sampleCount);
154        seriesPoints[seriesPoints.Count - 1]["from"] = (current - intervalCenter).ToString();
155        seriesPoints[seriesPoints.Count - 1]["to"] = (current + intervalCenter).ToString();
156        current += intervalWidth;
157      }
158    }
159
160    private void ToggleSeriesData(Series series) {
161      if (series.Points.Count > 0) {  //checks if series is shown
162        if (chart.Series.Any(s => s != series && s.Points.Count > 0)) {
163          series.Points.Clear();
164        }
165      } else if (Content != null) {
166        List<double> residuals = CalculateResiduals(Content);
167        CalculateFrequencies(residuals, series);
168        chart.Legends[series.Legend].ForeColor = Color.Black;
169        chart.Refresh();
170      }
171    }
172
173    private static void CalculateResidualParameters(List<double> residuals, out double roundedMax, out double intervalWidth) {
174      double realMax = Math.Max(Math.Abs(residuals.Min()), Math.Abs(residuals.Max()));
175      roundedMax = HumanRoundMax(realMax);
176      intervalWidth = (roundedMax * 2.0) / bins;
177      intervalWidth = HumanRoundMax(intervalWidth);
178      // sets roundedMax to a value, so that zero will be in the middle of the x axis
179      double help = realMax / intervalWidth;
180      help = help % 1 < 0.5 ? (int)help : (int)help + 1;
181      roundedMax = help * intervalWidth;
182    }
183
184    private static double HumanRoundMax(double max) {
185      double base10;
186      if (max > 0) base10 = Math.Pow(10.0, Math.Floor(Math.Log10(max)));
187      else base10 = Math.Pow(10.0, Math.Ceiling(Math.Log10(-max)));
188      double rounding = (max > 0) ? base10 : -base10;
189      while (rounding < max) rounding += base10;
190      return rounding;
191    }
192
193    #region events
194    protected override void RegisterContentEvents() {
195      base.RegisterContentEvents();
196      Content.ModelChanged += new EventHandler(Content_ModelChanged);
197      Content.ProblemDataChanged += new EventHandler(Content_ProblemDataChanged);
198    }
199    protected override void DeregisterContentEvents() {
200      base.DeregisterContentEvents();
201      Content.ModelChanged -= new EventHandler(Content_ModelChanged);
202      Content.ProblemDataChanged -= new EventHandler(Content_ProblemDataChanged);
203    }
204
205    protected override void OnContentChanged() {
206      base.OnContentChanged();
207      RedrawChart();
208    }
209    private void Content_ProblemDataChanged(object sender, EventArgs e) {
210      RedrawChart();
211    }
212    private void Content_ModelChanged(object sender, EventArgs e) {
213      RedrawChart();
214    }
215    private void chart_MouseDown(object sender, MouseEventArgs e) {
216      HitTestResult result = chart.HitTest(e.X, e.Y);
217      if (result.ChartElementType == ChartElementType.LegendItem) {
218        ToggleSeriesData(result.Series);
219      }
220    }
221    private void chart_MouseMove(object sender, MouseEventArgs e) {
222      HitTestResult result = chart.HitTest(e.X, e.Y);
223      if (result.ChartElementType == ChartElementType.LegendItem)
224        Cursor = Cursors.Hand;
225      else
226        Cursor = Cursors.Default;
227    }
228    private void chart_CustomizeLegend(object sender, CustomizeLegendEventArgs e) {
229      if (chart.Series.Count != 3) return;
230      e.LegendItems[0].Cells[1].ForeColor = chart.Series[ALL_SAMPLES].Points.Count == 0 ? Color.Gray : Color.Black;
231      e.LegendItems[1].Cells[1].ForeColor = chart.Series[TRAINING_SAMPLES].Points.Count == 0 ? Color.Gray : Color.Black;
232      e.LegendItems[2].Cells[1].ForeColor = chart.Series[TEST_SAMPLES].Points.Count == 0 ? Color.Gray : Color.Black;
233    }
234    #endregion
235  }
236}
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