source: trunk/sources/HeuristicLab.Problems.DataAnalysis.Views/3.4/FeatureCorrelation/AbstractFeatureCorrelationView.cs @ 11114

Last change on this file since 11114 was 11114, checked in by mkommend, 5 years ago

#2206: Merged data preprocessing into the trunk.

File size: 5.4 KB
Line 
1#region License Information
2/* HeuristicLab
3 * Copyright (C) 2002-2013 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 };
40
41    protected FeatureCorrelationCalculator fcc;
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      fcc = new FeatureCorrelationCalculator();
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().Equals(typeof(PearsonsRDependenceCalculator)));
57      partitionComboBox.DataSource = Partitions;
58      partitionComboBox.SelectedItem = TRAININGSAMPLES;
59      progressPanel.Visible = false;
60    }
61
62    protected override void RegisterContentEvents() {
63      base.RegisterContentEvents();
64      fcc.ProgressCalculation += new FeatureCorrelationCalculator.ProgressCalculationHandler(Content_ProgressCalculation);
65      fcc.CorrelationCalculationFinished += new FeatureCorrelationCalculator.CorrelationCalculationFinishedHandler(Content_CorrelationCalculationFinished);
66    }
67
68    protected override void DeregisterContentEvents() {
69      fcc.CorrelationCalculationFinished -= new FeatureCorrelationCalculator.CorrelationCalculationFinishedHandler(Content_CorrelationCalculationFinished);
70      fcc.ProgressCalculation -= new FeatureCorrelationCalculator.ProgressCalculationHandler(Content_ProgressCalculation);
71      base.DeregisterContentEvents();
72    }
73
74    protected override void OnContentChanged() {
75      base.OnContentChanged();
76      fcc.TryCancelCalculation();
77      if (Content != null) {
78        fcc.ProblemData = Content;
79        CalculateCorrelation();
80      } else {
81        progressPanel.Visible = false;
82        dataView.Maximum = 0;
83        dataView.Minimum = 0;
84        dataView.Content = null;
85        dataView.ResetVisibility();
86      }
87    }
88
89    protected virtual bool[] SetInitialVariableVisibility() {
90      bool[] initialVisibility = new bool[Content.Dataset.DoubleVariables.Count()];
91      int i = 0;
92      foreach (var variable in Content.Dataset.DoubleVariables) {
93        initialVisibility[i] = Content.AllowedInputVariables.Contains(variable);
94        i++;
95      }
96      return initialVisibility;
97    }
98
99    protected void CorrelationMeasureComboBox_SelectedChangeCommitted(object sender, System.EventArgs e) {
100      CalculateCorrelation();
101    }
102    protected void PartitionComboBox_SelectedChangeCommitted(object sender, System.EventArgs e) {
103      CalculateCorrelation();
104    }
105
106    protected abstract void CalculateCorrelation();
107    protected abstract void Content_CorrelationCalculationFinished(object sender, FeatureCorrelationCalculator.CorrelationCalculationFinishedArgs e);
108
109    protected void UpdateDataView(DoubleMatrix correlation) {
110      IDependencyCalculator calc = (IDependencyCalculator)correlationCalcComboBox.SelectedValue;
111      maximumLabel.Text = calc.Maximum.ToString();
112      minimumLabel.Text = calc.Minimum.ToString();
113
114      correlation.SortableView = true;
115      dataView.Maximum = calc.Maximum;
116      dataView.Minimum = calc.Minimum;
117      dataView.Content = correlation;
118      dataView.Enabled = true;
119    }
120
121    protected void Content_ProgressCalculation(object sender, ProgressChangedEventArgs e) {
122      if (!progressPanel.Visible && e.ProgressPercentage != progressBar.Maximum) {
123        progressPanel.Show();
124      } else if (e.ProgressPercentage == progressBar.Maximum) {
125        progressPanel.Hide();
126      }
127      progressBar.Value = e.ProgressPercentage;
128    }
129  }
130}
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