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source: branches/PersistenceSpeedUp/HeuristicLab.Problems.DataAnalysis.Classification.Views/3.3/SymbolicClassificationSolutionView.cs @ 10147

Last change on this file since 10147 was 5445, checked in by swagner, 14 years ago

Updated year of copyrights (#1406)

File size: 11.4 KB
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1#region License Information
2/* HeuristicLab
3 * Copyright (C) 2002-2011 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.Common;
29using HeuristicLab.MainForm;
30using HeuristicLab.MainForm.WindowsForms;
31
32namespace HeuristicLab.Problems.DataAnalysis.Classification.Views {
33  [View("Symbolic Classification View")]
34  [Content(typeof(SymbolicClassificationSolution), true)]
35  public sealed partial class SymbolicClassificationSolutionView : AsynchronousContentView {
36    private const double TrainingAxisValue = 0.0;
37    private const double TestAxisValue = 10.0;
38    private const double TrainingTestBorder = (TestAxisValue - TrainingAxisValue) / 2;
39    private const string TrainingLabelText = "Training Samples";
40    private const string TestLabelText = "Test Samples";
41
42    public new SymbolicClassificationSolution Content {
43      get { return (SymbolicClassificationSolution)base.Content; }
44      set { base.Content = value; }
45    }
46
47    private Dictionary<double, Series> classValueSeriesMapping;
48    private Random random;
49    private bool updateInProgress;
50
51    public SymbolicClassificationSolutionView()
52      : base() {
53      InitializeComponent();
54
55      classValueSeriesMapping = new Dictionary<double, Series>();
56      random = new Random();
57      updateInProgress = false;
58
59      this.chart.CustomizeAllChartAreas();
60      this.chart.ChartAreas[0].CursorX.IsUserSelectionEnabled = true;
61      this.chart.ChartAreas[0].AxisX.ScaleView.Zoomable = true;
62      this.chart.ChartAreas[0].AxisX.Minimum = TrainingAxisValue - TrainingTestBorder;
63      this.chart.ChartAreas[0].AxisX.Maximum = TestAxisValue + TrainingTestBorder;
64      AddCustomLabelToAxis(this.chart.ChartAreas[0].AxisX);
65
66      this.chart.ChartAreas[0].AxisY.Title = "Estimated Values";
67      this.chart.ChartAreas[0].CursorY.IsUserSelectionEnabled = true;
68      this.chart.ChartAreas[0].AxisX.ScaleView.Zoomable = true;
69    }
70
71    private void AddCustomLabelToAxis(Axis axis) {
72      CustomLabel trainingLabel = new CustomLabel();
73      trainingLabel.Text = TrainingLabelText;
74      trainingLabel.FromPosition = TrainingAxisValue - TrainingTestBorder;
75      trainingLabel.ToPosition = TrainingAxisValue + TrainingTestBorder;
76      axis.CustomLabels.Add(trainingLabel);
77
78      CustomLabel testLabel = new CustomLabel();
79      testLabel.Text = TestLabelText;
80      testLabel.FromPosition = TestAxisValue - TrainingTestBorder;
81      testLabel.ToPosition = TestAxisValue + TrainingTestBorder;
82      axis.CustomLabels.Add(testLabel);
83    }
84
85    protected override void RegisterContentEvents() {
86      base.RegisterContentEvents();
87      Content.EstimatedValuesChanged += new EventHandler(Content_EstimatedValuesChanged);
88      Content.ProblemDataChanged += new EventHandler(Content_ProblemDataChanged);
89      Content.ThresholdsChanged += new EventHandler(Content_ThresholdsChanged);
90    }
91    protected override void DeregisterContentEvents() {
92      base.DeregisterContentEvents();
93      Content.EstimatedValuesChanged -= new EventHandler(Content_EstimatedValuesChanged);
94      Content.ProblemDataChanged -= new EventHandler(Content_ProblemDataChanged);
95      Content.ThresholdsChanged -= new EventHandler(Content_ThresholdsChanged);
96    }
97
98    private void Content_ProblemDataChanged(object sender, EventArgs e) {
99      UpdateChart();
100    }
101    private void Content_EstimatedValuesChanged(object sender, EventArgs e) {
102      UpdateChart();
103    }
104    private void Content_ThresholdsChanged(object sender, EventArgs e) {
105      AddThresholds();
106    }
107    protected override void OnContentChanged() {
108      base.OnContentChanged();
109      UpdateChart();
110    }
111
112    private void UpdateChart() {
113      if (InvokeRequired) Invoke((Action)UpdateChart);
114      else if (!updateInProgress) {
115        updateInProgress = true;
116        chart.Series.Clear();
117        classValueSeriesMapping.Clear();
118        if (Content != null) {
119          IEnumerator<string> classNameEnumerator = Content.ProblemData.ClassNames.GetEnumerator();
120          IEnumerator<double> classValueEnumerator = Content.ProblemData.SortedClassValues.GetEnumerator();
121          while (classNameEnumerator.MoveNext() && classValueEnumerator.MoveNext()) {
122            Series series = new Series(classNameEnumerator.Current);
123            series.ChartType = SeriesChartType.FastPoint;
124            series.Tag = classValueEnumerator.Current;
125            chart.Series.Add(series);
126            classValueSeriesMapping.Add(classValueEnumerator.Current, series);
127            FillSeriesWithDataPoints(series);
128          }
129          AddThresholds();
130        }
131        chart.ChartAreas[0].RecalculateAxesScale();
132        updateInProgress = false;
133      }
134    }
135
136    private void FillSeriesWithDataPoints(Series series) {
137      List<double> estimatedValues = Content.EstimatedValues.ToList();
138      foreach (int row in Content.ProblemData.TrainingIndizes) {
139        double estimatedValue = estimatedValues[row];
140        double targetValue = Content.ProblemData.Dataset[Content.ProblemData.TargetVariable.Value, row];
141        if (targetValue.IsAlmost((double)series.Tag)) {
142          double jitterValue = random.NextDouble() * 2.0 - 1.0;
143          DataPoint point = new DataPoint();
144          point.XValue = TrainingAxisValue + 0.01 * jitterValue * JitterTrackBar.Value * (TrainingTestBorder * 0.9);
145          point.YValues[0] = estimatedValue;
146          point.Tag = new KeyValuePair<double, double>(TrainingAxisValue, jitterValue);
147          series.Points.Add(point);
148        }
149      }
150
151      foreach (int row in Content.ProblemData.TestIndizes) {
152        double estimatedValue = estimatedValues[row];
153        double targetValue = Content.ProblemData.Dataset[Content.ProblemData.TargetVariable.Value, row];
154        if (targetValue == (double)series.Tag) {
155          double jitterValue = random.NextDouble() * 2.0 - 1.0;
156          DataPoint point = new DataPoint();
157          point.XValue = TestAxisValue + 0.01 * jitterValue * JitterTrackBar.Value * (TrainingTestBorder * 0.9);
158          point.YValues[0] = estimatedValue;
159          point.Tag = new KeyValuePair<double, double>(TestAxisValue, jitterValue);
160          series.Points.Add(point);
161        }
162      }
163
164      UpdateCursorInterval();
165    }
166
167    private void AddThresholds() {
168      chart.Annotations.Clear();
169      int classIndex = 1;
170      foreach (double threshold in Content.Thresholds) {
171        if (!double.IsInfinity(threshold)) {
172          HorizontalLineAnnotation annotation = new HorizontalLineAnnotation();
173          annotation.AllowMoving = true;
174          annotation.AllowResizing = false;
175          annotation.LineWidth = 2;
176          annotation.LineColor = Color.Red;
177
178          annotation.IsInfinitive = true;
179          annotation.ClipToChartArea = chart.ChartAreas[0].Name;
180          annotation.Tag = classIndex;  //save classIndex as Tag to avoid moving the threshold accross class bounderies
181
182          annotation.AxisX = chart.ChartAreas[0].AxisX;
183          annotation.AxisY = chart.ChartAreas[0].AxisY;
184          annotation.Y = threshold;
185
186          chart.Annotations.Add(annotation);
187          classIndex++;
188        }
189      }
190    }
191
192    private void JitterTrackBar_ValueChanged(object sender, EventArgs e) {
193      foreach (Series series in chart.Series) {
194        foreach (DataPoint point in series.Points) {
195          double value = ((KeyValuePair<double, double>)point.Tag).Key;
196          double jitterValue = ((KeyValuePair<double, double>)point.Tag).Value; ;
197          point.XValue = value + 0.01 * jitterValue * JitterTrackBar.Value * (TrainingTestBorder * 0.9);
198        }
199      }
200    }
201
202    private void chart_CustomizeLegend(object sender, CustomizeLegendEventArgs e) {
203      foreach (LegendItem legendItem in e.LegendItems) {
204        var series = chart.Series[legendItem.SeriesName];
205        if (series != null) {
206          bool seriesIsInvisible = series.Points.Count == 0;
207          foreach (LegendCell cell in legendItem.Cells)
208            cell.ForeColor = seriesIsInvisible ? Color.Gray : Color.Black;
209        }
210      }
211    }
212
213    private void chart_MouseMove(object sender, MouseEventArgs e) {
214      HitTestResult result = chart.HitTest(e.X, e.Y);
215      if (result.ChartElementType == ChartElementType.LegendItem)
216        this.Cursor = Cursors.Hand;
217      else
218        this.Cursor = Cursors.Default;
219    }
220
221    private void ToggleSeries(Series series) {
222      if (series.Points.Count == 0)
223        FillSeriesWithDataPoints(series);
224      else
225        series.Points.Clear();
226    }
227
228    private void chart_MouseDown(object sender, MouseEventArgs e) {
229      HitTestResult result = chart.HitTest(e.X, e.Y);
230      if (result.ChartElementType == ChartElementType.LegendItem) {
231        if (result.Series != null) ToggleSeries(result.Series);
232      }
233    }
234
235    private void chart_AnnotationPositionChanging(object sender, AnnotationPositionChangingEventArgs e) {
236      int classIndex = (int)e.Annotation.Tag;
237
238      double classValue = Content.ProblemData.SortedClassValues.ElementAt(classIndex);
239      if (e.NewLocationY >= classValue)
240        e.NewLocationY = classValue;
241
242      classValue = Content.ProblemData.SortedClassValues.ElementAt(classIndex - 1);
243      if (e.NewLocationY <= classValue)
244        e.NewLocationY = classValue;
245
246      double[] thresholds = Content.Thresholds.ToArray();
247      thresholds[classIndex] = e.NewLocationY;
248      Content.Thresholds = thresholds;
249    }
250
251    private void UpdateCursorInterval() {
252      Series series = chart.Series[0];
253      double[] xValues = (from point in series.Points
254                          where !point.IsEmpty
255                          select point.XValue)
256                    .DefaultIfEmpty(1.0)
257                    .ToArray();
258      double[] yValues = (from point in series.Points
259                          where !point.IsEmpty
260                          select point.YValues[0])
261                    .DefaultIfEmpty(1.0)
262                    .ToArray();
263
264      double xRange = xValues.Max() - xValues.Min();
265      double yRange = yValues.Max() - yValues.Min();
266      if (xRange.IsAlmost(0.0)) xRange = 1.0;
267      if (yRange.IsAlmost(0.0)) yRange = 1.0;
268      double xDigits = (int)Math.Log10(xRange) - 3;
269      double yDigits = (int)Math.Log10(yRange) - 3;
270      double xZoomInterval = Math.Pow(10, xDigits);
271      double yZoomInterval = Math.Pow(10, yDigits);
272      this.chart.ChartAreas[0].CursorX.Interval = xZoomInterval;
273      this.chart.ChartAreas[0].CursorY.Interval = yZoomInterval;
274    }
275  }
276}
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