source: trunk/sources/HeuristicLab.Problems.DataAnalysis.Views/3.4/FeatureCorrelation/AbstractFeatureCorrelationView.cs @ 12151

Last change on this file since 12151 was 12151, checked in by mkommend, 6 years ago

#2352: Reverse merged r12137 and implemented a format pattern for the EnhancedStringConvertibleMatrixView.

File size: 5.5 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 };
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      dataView.FormatPattern = "0.000";
51      fcc = new FeatureCorrelationCalculator();
52      var calculators = ApplicationManager.Manager.GetInstances<IDependencyCalculator>();
53      var calcList = calculators.OrderBy(c => c.Name).Select(c => new { Name = c.Name, Calculator = c }).ToList();
54      correlationCalcComboBox.ValueMember = "Calculator";
55      correlationCalcComboBox.DisplayMember = "Name";
56      correlationCalcComboBox.DataSource = calcList;
57      correlationCalcComboBox.SelectedItem = calcList.First(c => c.Calculator.GetType().Equals(typeof(PearsonsRDependenceCalculator)));
58      partitionComboBox.DataSource = Partitions;
59      partitionComboBox.SelectedItem = TRAININGSAMPLES;
60      progressPanel.Visible = false;
61    }
62
63    protected override void RegisterContentEvents() {
64      base.RegisterContentEvents();
65      fcc.ProgressCalculation += new FeatureCorrelationCalculator.ProgressCalculationHandler(Content_ProgressCalculation);
66      fcc.CorrelationCalculationFinished += new FeatureCorrelationCalculator.CorrelationCalculationFinishedHandler(Content_CorrelationCalculationFinished);
67    }
68
69    protected override void DeregisterContentEvents() {
70      fcc.CorrelationCalculationFinished -= new FeatureCorrelationCalculator.CorrelationCalculationFinishedHandler(Content_CorrelationCalculationFinished);
71      fcc.ProgressCalculation -= new FeatureCorrelationCalculator.ProgressCalculationHandler(Content_ProgressCalculation);
72      base.DeregisterContentEvents();
73    }
74
75    protected override void OnContentChanged() {
76      base.OnContentChanged();
77      fcc.TryCancelCalculation();
78      if (Content != null) {
79        fcc.ProblemData = Content;
80        CalculateCorrelation();
81      } else {
82        progressPanel.Visible = false;
83        dataView.Maximum = 0;
84        dataView.Minimum = 0;
85        dataView.Content = null;
86        dataView.ResetVisibility();
87      }
88    }
89
90    protected virtual bool[] SetInitialVariableVisibility() {
91      bool[] initialVisibility = new bool[Content.Dataset.DoubleVariables.Count()];
92      int i = 0;
93      foreach (var variable in Content.Dataset.DoubleVariables) {
94        initialVisibility[i] = Content.AllowedInputVariables.Contains(variable);
95        i++;
96      }
97      return initialVisibility;
98    }
99
100    protected void CorrelationMeasureComboBox_SelectedChangeCommitted(object sender, System.EventArgs e) {
101      CalculateCorrelation();
102    }
103    protected void PartitionComboBox_SelectedChangeCommitted(object sender, System.EventArgs e) {
104      CalculateCorrelation();
105    }
106
107    protected abstract void CalculateCorrelation();
108    protected abstract void Content_CorrelationCalculationFinished(object sender, FeatureCorrelationCalculator.CorrelationCalculationFinishedArgs e);
109
110    protected void UpdateDataView(DoubleMatrix correlation) {
111      IDependencyCalculator calc = (IDependencyCalculator)correlationCalcComboBox.SelectedValue;
112      maximumLabel.Text = calc.Maximum.ToString();
113      minimumLabel.Text = calc.Minimum.ToString();
114
115      correlation.SortableView = true;
116      dataView.Maximum = calc.Maximum;
117      dataView.Minimum = calc.Minimum;
118
119      dataView.Content = correlation;
120      dataView.Enabled = true;
121    }
122
123    protected void Content_ProgressCalculation(object sender, ProgressChangedEventArgs e) {
124      if (!progressPanel.Visible && e.ProgressPercentage != progressBar.Maximum) {
125        progressPanel.Show();
126      } else if (e.ProgressPercentage == progressBar.Maximum) {
127        progressPanel.Hide();
128      }
129      progressBar.Value = e.ProgressPercentage;
130    }
131  }
132}
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