source: trunk/sources/HeuristicLab.Problems.DataAnalysis.Views/3.4/FeatureCorrelation/AbstractFeatureCorrelationView.cs @ 13938

Last change on this file since 13938 was 13938, checked in by mkommend, 5 years ago

#2619:

  • Refactored and separated the different feature correlation calculations.
  • Added a checkbox to ignore missing values in the calculation.
File size: 5.4 KB
Line 
1#region License Information
2/* HeuristicLab
3 * Copyright (C) 2002-2015 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.Collections.Generic;
23using System.ComponentModel;
24using System.Linq;
25using System.Windows.Forms;
26using HeuristicLab.Data;
27using HeuristicLab.MainForm;
28using HeuristicLab.MainForm.WindowsForms;
29using HeuristicLab.PluginInfrastructure;
30
31namespace HeuristicLab.Problems.DataAnalysis.Views {
32  [View("Feature Correlation View")]
33  [Content(typeof(DataAnalysisProblemData), false)]
34  public abstract partial class AbstractFeatureCorrelationView : AsynchronousContentView {
35    public const string ALLSAMPLES = "All Samples";
36    public const string TRAININGSAMPLES = "Training Samples";
37    public const string TESTSAMPLES = "Test Samples";
38
39    public static readonly IList<string> Partitions = new List<string>() { ALLSAMPLES, TRAININGSAMPLES, TESTSAMPLES }.AsReadOnly();
40
41    protected AbstractFeatureCorrelationCalculator CorrelationCalculator { get; set; }
42
43    public new DataAnalysisProblemData Content {
44      get { return (DataAnalysisProblemData)base.Content; }
45      set { base.Content = value; }
46    }
47
48    protected AbstractFeatureCorrelationView() {
49      InitializeComponent();
50      dataView.FormatPattern = "0.000";
51      var calculators = ApplicationManager.Manager.GetInstances<IDependencyCalculator>();
52      var calcList = calculators.OrderBy(c => c.Name).Select(c => new { Name = c.Name, Calculator = c }).ToList();
53      correlationCalcComboBox.ValueMember = "Calculator";
54      correlationCalcComboBox.DisplayMember = "Name";
55      correlationCalcComboBox.DataSource = calcList;
56      correlationCalcComboBox.SelectedItem = calcList.First(c => c.Calculator.GetType() == typeof(PearsonsRDependenceCalculator));
57      partitionComboBox.DataSource = Partitions;
58      partitionComboBox.SelectedItem = TRAININGSAMPLES;
59      progressPanel.Visible = false;
60    }
61
62    protected override void OnClosing(FormClosingEventArgs e) {
63      base.OnClosing(e);
64      CorrelationCalculator.TryCancelCalculation();
65    }
66
67    protected override void RegisterContentEvents() {
68      base.RegisterContentEvents();
69      CorrelationCalculator.ProgressChanged += FeatureCorrelation_ProgressChanged;
70      CorrelationCalculator.CorrelationCalculationFinished += FeatureCorrelation_CalculationFinished;
71    }
72
73    protected override void DeregisterContentEvents() {
74      CorrelationCalculator.ProgressChanged -= FeatureCorrelation_ProgressChanged;
75      CorrelationCalculator.CorrelationCalculationFinished -= FeatureCorrelation_CalculationFinished;
76      base.DeregisterContentEvents();
77    }
78
79    protected override void OnContentChanged() {
80      base.OnContentChanged();
81      CorrelationCalculator.TryCancelCalculation();
82      if (Content != null) {
83        CalculateCorrelation();
84      } else {
85        progressPanel.Visible = false;
86        dataView.Maximum = 0;
87        dataView.Minimum = 0;
88        dataView.Content = null;
89        dataView.ResetVisibility();
90      }
91    }
92
93    protected virtual bool[] SetInitialVariableVisibility() {
94      bool[] initialVisibility = new bool[Content.Dataset.DoubleVariables.Count()];
95      int i = 0;
96      foreach (var variable in Content.Dataset.DoubleVariables) {
97        initialVisibility[i] = Content.AllowedInputVariables.Contains(variable);
98        i++;
99      }
100      return initialVisibility;
101    }
102
103    protected void CorrelationMeasureComboBox_SelectedChangeCommitted(object sender, System.EventArgs e) {
104      CalculateCorrelation();
105    }
106    protected void PartitionComboBox_SelectedChangeCommitted(object sender, System.EventArgs e) {
107      CalculateCorrelation();
108    }
109
110    protected abstract void CalculateCorrelation();
111
112    protected abstract void FeatureCorrelation_CalculationFinished(object sender,
113      AbstractFeatureCorrelationCalculator.CorrelationCalculationFinishedArgs e);
114
115    protected void UpdateDataView(DoubleMatrix correlation) {
116      IDependencyCalculator calc = (IDependencyCalculator)correlationCalcComboBox.SelectedValue;
117      maximumLabel.Text = calc.Maximum.ToString();
118      minimumLabel.Text = calc.Minimum.ToString();
119
120      correlation.SortableView = true;
121      dataView.Maximum = calc.Maximum;
122      dataView.Minimum = calc.Minimum;
123
124      dataView.Content = correlation;
125      dataView.Enabled = true;
126    }
127
128    protected void FeatureCorrelation_ProgressChanged(object sender, ProgressChangedEventArgs e) {
129      if (!progressPanel.Visible && e.ProgressPercentage != progressBar.Maximum) {
130        progressPanel.Show();
131      } else if (e.ProgressPercentage == progressBar.Maximum) {
132        progressPanel.Hide();
133      }
134      progressBar.Value = e.ProgressPercentage;
135    }
136  }
137}
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