source: branches/HeuristicLab.RegressionSolutionGradientView/HeuristicLab.Problems.DataAnalysis.Views/3.4/Regression/RegressionSolutionTargetResponseGradientView.cs @ 14089

Last change on this file since 14089 was 14089, checked in by pfleck, 6 years ago

#2597

  • Hide density chart when zoom is active.
  • Changed columns textbox to numberic up/down control (thus removed validation).
File size: 15.0 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.Threading.Tasks;
27using System.Windows.Forms;
28using HeuristicLab.Common;
29using HeuristicLab.MainForm;
30using HeuristicLab.Visualization.ChartControlsExtensions;
31
32namespace HeuristicLab.Problems.DataAnalysis.Views {
33  [View("Target Response Gradients")]
34  [Content(typeof(IRegressionSolution))]
35  public partial class RegressionSolutionTargetResponseGradientView : DataAnalysisSolutionEvaluationView {
36    private readonly Dictionary<string, GradientChart> gradientCharts;
37    private readonly Dictionary<string, DensityChart> densityCharts;
38    private readonly Dictionary<string, Panel> groupingPanels;
39
40    private const int Points = 200;
41    private int MaxColumns = 4;
42
43    private IEnumerable<string> VisibleVariables {
44      get {
45        foreach (ListViewItem item in variableListView.CheckedItems)
46          yield return item.Text;
47      }
48    }
49    private IEnumerable<GradientChart> VisibleGradientCharts {
50      get { return VisibleVariables.Select(v => gradientCharts[v]); }
51    }
52    private IEnumerable<DensityChart> VisibleDensityCharts {
53      get { return VisibleVariables.Select(v => densityCharts[v]); }
54    }
55    private IEnumerable<Panel> VisibleChartsPanels {
56      get { return VisibleVariables.Select(v => groupingPanels[v]); }
57    }
58
59    public RegressionSolutionTargetResponseGradientView() {
60      InitializeComponent();
61      gradientCharts = new Dictionary<string, GradientChart>();
62      densityCharts = new Dictionary<string, DensityChart>();
63      groupingPanels = new Dictionary<string, Panel>();
64
65      limitView.Content = new DoubleLimit(0, 1);
66      limitView.Content.ValueChanged += limit_ValueChanged;
67
68      densityComboBox.SelectedIndex = 1; // select Training
69
70      // Avoid additional horizontal scrollbar
71      var vertScrollWidth = SystemInformation.VerticalScrollBarWidth;
72      scrollPanel.Padding = new Padding(0, 0, vertScrollWidth, 0);
73      scrollPanel.AutoScroll = true;
74    }
75
76    public new IRegressionSolution Content {
77      get { return (IRegressionSolution)base.Content; }
78      set { base.Content = value; }
79    }
80
81    protected override void RegisterContentEvents() {
82      base.RegisterContentEvents();
83      Content.ModelChanged += solution_ModelChanged;
84    }
85
86    protected override void DeregisterContentEvents() {
87      Content.ModelChanged -= solution_ModelChanged;
88      base.DeregisterContentEvents();
89    }
90
91    protected override void OnContentChanged() {
92      base.OnContentChanged();
93      if (Content == null) return;
94      var problemData = Content.ProblemData;
95
96      // Init Y-axis range
97      double min = double.MaxValue, max = double.MinValue;
98      var trainingTarget = problemData.Dataset.GetDoubleValues(problemData.TargetVariable, problemData.TrainingIndices);
99      foreach (var t in trainingTarget) {
100        if (t < min) min = t;
101        if (t > max) max = t;
102      }
103      double range = max - min;
104      const double scale = 1.0 / 3.0;
105      double axisMin, axisMax, axisInterval;
106      ChartUtil.CalculateAxisInterval(min - scale * range, max + scale * range, 5, out axisMin, out axisMax, out axisInterval);
107      automaticYAxisCheckBox.Checked = false;
108      limitView.ReadOnly = false;
109      limitView.Content.Lower = axisMin;
110      limitView.Content.Upper = axisMax;
111
112      // create dataset
113      var allowedInputVariables = Content.ProblemData.AllowedInputVariables;
114      var variableValues = allowedInputVariables.Select(x => new List<double> { problemData.Dataset.GetDoubleValues(x, problemData.TrainingIndices).Median() });
115      var sharedFixedVariables = new ModifiableDataset(allowedInputVariables, variableValues);
116
117      // create controls
118      gradientCharts.Clear();
119      densityCharts.Clear();
120      groupingPanels.Clear();
121      foreach (var variableName in allowedInputVariables) {
122        var gradientChart = CreateGradientChart(variableName, sharedFixedVariables);
123        gradientCharts.Add(variableName, gradientChart);
124
125        var densityChart = new DensityChart() {
126          Anchor = AnchorStyles.Left | AnchorStyles.Top | AnchorStyles.Right,
127          Margin = Padding.Empty,
128          Height = 12,
129          Visible = false
130        };
131        densityCharts.Add(variableName, densityChart);
132
133        gradientChart.ZoomChanged += (o, e) => {
134          var gradient = (GradientChart)o;
135          var density = densityCharts[gradient.FreeVariable];
136          density.Visible = densityComboBox.SelectedIndex != 0 && !gradient.IsZoomed;
137          if (density.Visible)
138            UpdateDensityChart(density, gradient.FreeVariable);
139        };
140
141        var panel = new Panel() {
142          Dock = DockStyle.Fill,
143          Margin = Padding.Empty,
144          BackColor = Color.White
145        };
146
147        panel.Controls.Add(densityChart);
148        panel.Controls.Add(gradientChart);
149        groupingPanels.Add(variableName, panel);
150      }
151
152      // update variable list
153      variableListView.ItemChecked -= variableListView_ItemChecked;
154      variableListView.Items.Clear();
155      foreach (var variable in allowedInputVariables)
156        variableListView.Items.Add(key: variable, text: variable, imageIndex: 0);
157
158      foreach (var variable in Content.Model.VariablesUsedForPrediction)
159        variableListView.Items[variable].Checked = true;
160      variableListView.ItemChecked += variableListView_ItemChecked;
161
162      RecalculateAndRelayoutCharts();
163    }
164
165    private async void RecalculateAndRelayoutCharts() {
166      foreach (var variable in VisibleVariables) {
167        var gradientChart = gradientCharts[variable];
168        await gradientChart.RecalculateAsync();
169      }
170      gradientChartTableLayout.SuspendLayout();
171      SetupYAxis();
172      ReOrderControls();
173      SetStyles();
174      gradientChartTableLayout.ResumeLayout();
175      gradientChartTableLayout.Refresh();
176      foreach (var variable in VisibleVariables) {
177        var densityChart = densityCharts[variable];
178        UpdateDensityChart(densityChart, variable);
179      }
180    }
181    private GradientChart CreateGradientChart(string variableName, ModifiableDataset sharedFixedVariables) {
182      var gradientChart = new GradientChart {
183        Dock = DockStyle.Fill,
184        Margin = Padding.Empty,
185        ShowLegend = false,
186        ShowCursor = true,
187        ShowConfigButton = false,
188        YAxisTicks = 5,
189      };
190      gradientChart.VariableValueChanged += async (o, e) => {
191        var recalculations = VisibleGradientCharts.Except(new[] { (GradientChart)o }).Select(async chart => {
192          await chart.RecalculateAsync(updateOnFinish: false, resetYAxis: false);
193        }).ToList();
194        await Task.WhenAll(recalculations);
195
196        if (recalculations.All(t => t.IsCompleted))
197          SetupYAxis();
198      };
199      gradientChart.Configure(new[] { Content }, sharedFixedVariables, variableName, Points);
200      gradientChart.SolutionAdded += gradientChart_SolutionAdded;
201      gradientChart.SolutionRemoved += gradientChart_SolutionRemoved;
202      return gradientChart;
203    }
204
205    private void SetupYAxis() {
206      double axisMin, axisMax;
207      if (automaticYAxisCheckBox.Checked) {
208        double min = double.MaxValue, max = double.MinValue;
209        foreach (var chart in VisibleGradientCharts) {
210          if (chart.YMin < min) min = chart.YMin;
211          if (chart.YMax > max) max = chart.YMax;
212        }
213
214        double axisInterval;
215        ChartUtil.CalculateAxisInterval(min, max, 5, out axisMin, out axisMax, out axisInterval);
216      } else {
217        axisMin = limitView.Content.Lower;
218        axisMax = limitView.Content.Upper;
219      }
220
221      foreach (var chart in VisibleGradientCharts) {
222        chart.FixedYAxisMin = axisMin;
223        chart.FixedYAxisMax = axisMax;
224      }
225    }
226
227    // reorder chart controls so that they always appear in the same order as in the list view
228    // the table layout containing the controls should be suspended before calling this method
229    private void ReOrderControls() {
230      var tl = gradientChartTableLayout;
231      tl.Controls.Clear();
232      int row = 0, column = 0;
233      foreach (var v in VisibleVariables) {
234        var chartsPanel = groupingPanels[v];
235        tl.Controls.Add(chartsPanel, column, row);
236
237        var chart = gradientCharts[v];
238        chart.YAxisTitle = column == 0 ? Content.ProblemData.TargetVariable : string.Empty;
239        column++;
240
241        if (column == MaxColumns) {
242          row++;
243          column = 0;
244        }
245      }
246    }
247
248    private void SetStyles() {
249      var tl = gradientChartTableLayout;
250      tl.RowStyles.Clear();
251      tl.ColumnStyles.Clear();
252      int numVariables = VisibleVariables.Count();
253      if (numVariables == 0)
254        return;
255
256      // set column styles
257      tl.ColumnCount = Math.Min(numVariables, MaxColumns);
258      for (int c = 0; c < tl.ColumnCount; c++)
259        tl.ColumnStyles.Add(new ColumnStyle(SizeType.Percent, 100.0f / tl.ColumnCount));
260
261      // set row styles
262      tl.RowCount = (int)Math.Ceiling((double)numVariables / tl.ColumnCount);
263      var columnWidth = tl.Width / tl.ColumnCount; // assume all columns have the same width
264      var rowHeight = (int)(0.8 * columnWidth);
265      for (int r = 0; r < tl.RowCount; r++)
266        tl.RowStyles.Add(new RowStyle(SizeType.Absolute, rowHeight));
267    }
268
269    private async void gradientChart_SolutionAdded(object sender, EventArgs<IRegressionSolution> e) {
270      var solution = e.Value;
271      foreach (var chart in gradientCharts.Values) {
272        if (sender == chart) continue;
273        await chart.AddSolutionAsync(solution);
274      }
275    }
276
277    private async void gradientChart_SolutionRemoved(object sender, EventArgs<IRegressionSolution> e) {
278      var solution = e.Value;
279      foreach (var chart in gradientCharts.Values) {
280        if (sender == chart) continue;
281        await chart.RemoveSolutionAsync(solution);
282      }
283    }
284
285    private async void variableListView_ItemChecked(object sender, ItemCheckedEventArgs e) {
286      var item = e.Item;
287      var variable = item.Text;
288      var gradientChart = gradientCharts[variable];
289      var chartsPanel = groupingPanels[variable];
290      var tl = gradientChartTableLayout;
291
292      tl.SuspendLayout();
293      if (item.Checked) {
294        tl.Controls.Add(chartsPanel);
295        await gradientChart.RecalculateAsync();
296      } else {
297        tl.Controls.Remove(chartsPanel);
298      }
299
300      if (tl.Controls.Count > 0) {
301        SetupYAxis();
302        ReOrderControls();
303        SetStyles();
304      }
305      tl.ResumeLayout();
306      tl.Refresh();
307      densityComboBox_SelectedIndexChanged(this, EventArgs.Empty);
308    }
309
310    private void automaticYAxisCheckBox_CheckedChanged(object sender, EventArgs e) {
311      limitView.ReadOnly = automaticYAxisCheckBox.Checked;
312      SetupYAxis();
313      gradientChartTableLayout.Refresh();
314      densityComboBox_SelectedIndexChanged(this, EventArgs.Empty); // necessary to realign the density plots
315    }
316
317    private void limit_ValueChanged(object sender, EventArgs e) {
318      if (automaticYAxisCheckBox.Checked)
319        return;
320      SetupYAxis();
321      gradientChartTableLayout.Refresh();
322      densityComboBox_SelectedIndexChanged(this, EventArgs.Empty); // necessary to realign the density plots
323    }
324
325    private void densityComboBox_SelectedIndexChanged(object sender, EventArgs e) {
326      if (Content == null)
327        return;
328
329      int si = densityComboBox.SelectedIndex;
330      if (si == 0) {
331        foreach (var densityChart in densityCharts.Values)
332          densityChart.Visible = false;
333      } else {
334        var indices = GetDensityIndices(si).ToList();
335
336        foreach (var entry in densityCharts) {
337          var variableName = entry.Key;
338          var densityChart = entry.Value;
339          if (!VisibleVariables.Contains(variableName) || gradientCharts[variableName].IsZoomed)
340            continue;
341
342          UpdateDensityChart(densityChart, variableName, indices);
343        }
344      }
345    }
346    private IEnumerable<int> GetDensityIndices(int selectedIndex) {
347      var problemData = Content.ProblemData;
348      return
349        selectedIndex == 1 ? problemData.TrainingIndices :
350        selectedIndex == 2 ? problemData.TestIndices :
351        problemData.AllIndices;
352    }
353    private void UpdateDensityChart(DensityChart densityChart, string variable, IList<int> indices = null) {
354      if (densityComboBox.SelectedIndex == 0)
355        return;
356      if (indices == null) {
357        indices = GetDensityIndices(densityComboBox.SelectedIndex).ToList();
358      }
359      var data = Content.ProblemData.Dataset.GetDoubleValues(variable, indices).ToList();
360      var gradientChart = gradientCharts[variable];
361      var min = gradientChart.FixedXAxisMin;
362      var max = gradientChart.FixedXAxisMax;
363      var buckets = gradientChart.DrawingSteps;
364      if (min.HasValue && max.HasValue) {
365        densityChart.UpdateChart(data, min.Value, max.Value, buckets);
366        densityChart.Width = gradientChart.Width;
367
368        var gcPlotPosition = gradientChart.InnerPlotPosition;
369        densityChart.Left = (int)(gcPlotPosition.X / 100.0 * gradientChart.Width);
370        densityChart.Width = (int)(gcPlotPosition.Width / 100.0 * gradientChart.Width);
371
372        densityChart.Visible = true;
373      }
374    }
375
376    private void columnsNumericUpDown_ValueChanged(object sender, EventArgs e) {
377      MaxColumns = (int)columnsNumericUpDown.Value;
378      int columns = Math.Min(VisibleVariables.Count(), MaxColumns);
379      if (columns > 0) {
380        var tl = gradientChartTableLayout;
381        MaxColumns = columns;
382        tl.SuspendLayout();
383        ReOrderControls();
384        SetStyles();
385        tl.ResumeLayout();
386        tl.Refresh();
387        densityComboBox_SelectedIndexChanged(this, EventArgs.Empty);
388      }
389    }
390
391    private async void solution_ModelChanged(object sender, EventArgs e) {
392      foreach (var variable in VisibleVariables) {
393        var gradientChart = gradientCharts[variable];
394        var densityChart = densityCharts[variable];
395        // recalculate and refresh
396        await gradientChart.RecalculateAsync();
397        gradientChart.Refresh();
398        UpdateDensityChart(densityChart, variable);
399      }
400    }
401  }
402}
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