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source: branches/ClassificationEnsembleVoting/HeuristicLab.Problems.DataAnalysis.Views/3.4/FeatureCorrelation/TimeframeFeatureCorrelationView.cs @ 8863

Last change on this file since 8863 was 8863, checked in by sforsten, 12 years ago

#1776:

  • merged r8810:8862 from trunk into branch
  • fixed exception in ClassificationEnsembleSolutionAccuracyToCoveredSamples, if no estimated values are in a partition, so nothing can be shown
File size: 6.3 KB
Line 
1#region License Information
2/* HeuristicLab
3 * Copyright (C) 2002-2012 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.Linq;
25using System.Windows.Forms;
26using HeuristicLab.Data;
27using HeuristicLab.MainForm;
28using HeuristicLab.PluginInfrastructure;
29
30namespace HeuristicLab.Problems.DataAnalysis.Views {
31  [View("Timeframe Feature Correlation View")]
32  [Content(typeof(DataAnalysisProblemData), false)]
33  public partial class TimeframeFeatureCorrelationView : AbstractFeatureCorrelationView {
34
35    private FeatureCorrelationTimeframeCache correlationTimeframCache;
36
37    public TimeframeFeatureCorrelationView() {
38      InitializeComponent();
39      correlationTimeframCache = new FeatureCorrelationTimeframeCache();
40    }
41
42    protected override void OnContentChanged() {
43      correlationTimeframCache.Reset();
44      if (Content != null) {
45        dataView.RowVisibility = SetInitialVariableVisibility();
46        VariableSelectionComboBox.DataSource = Content.Dataset.DoubleVariables.ToList();
47      }
48      base.OnContentChanged();
49    }
50
51    protected void VariableSelectionComboBox_SelectedChangeCommitted(object sender, EventArgs e) {
52      CalculateCorrelation();
53    }
54    protected void TimeframeTextbox_KeyDown(object sender, System.Windows.Forms.KeyEventArgs e) {
55      if (e.KeyCode == Keys.Enter) {
56        CalculateCorrelation();
57      }
58    }
59
60    protected override void CalculateCorrelation() {
61      if (CorrelationCalcComboBox.SelectedItem != null && PartitionComboBox.SelectedItem != null
62        && VariableSelectionComboBox.SelectedItem != null && ValidateTimeframeTextbox()) {
63        string variable = (string)VariableSelectionComboBox.SelectedItem;
64        IDependencyCalculator calc = (IDependencyCalculator)CorrelationCalcComboBox.SelectedValue;
65        string partition = (string)PartitionComboBox.SelectedValue;
66        int frames;
67        int.TryParse(TimeframeTextbox.Text, out frames);
68        dataView.Enabled = false;
69        double[,] corr = correlationTimeframCache.GetTimeframeCorrelation(calc, partition, variable);
70        if (corr == null) {
71          fcc.CalculateTimeframeElements(calc, partition, variable, frames);
72        } else if (corr.GetLength(1) <= frames) {
73          fcc.CalculateTimeframeElements(calc, partition, variable, frames, corr);
74        } else {
75          fcc.TryCancelCalculation();
76          SetNewCorrelation(corr, calc, frames);
77          UpdateDataView();
78        }
79      }
80    }
81
82    protected bool ValidateTimeframeTextbox() {
83      int help;
84      if (!int.TryParse(TimeframeTextbox.Text, out help)) {
85        MessageBox.Show("Timeframe couldn't be parsed. Enter a valid integer value.", "Parse Error", MessageBoxButtons.OK);
86        return false;
87      } else {
88        if (help > 50) {
89          DialogResult dr = MessageBox.Show("The entered value is bigger than 50. Are you sure you want to calculate? " +
90                                            "The calculation could take some time.", "Huge Value Warning", MessageBoxButtons.YesNo);
91          return dr.Equals(DialogResult.Yes);
92        }
93      }
94      return true;
95    }
96
97    private void SetNewCorrelation(double[,] elements, IDependencyCalculator calc, int frames) {
98      double[,] neededValues = new double[elements.GetLength(0), frames + 1];
99      for (int i = 0; i < elements.GetLength(0); i++) {
100        Array.Copy(elements, i * elements.GetLength(1), neededValues, i * neededValues.GetLength(1), frames + 1);
101      }
102      SetNewCorrelation(neededValues);
103    }
104
105    private void SetNewCorrelation(double[,] elements) {
106      currentCorrelation = new DoubleMatrix(elements,
107                                            Enumerable.Range(0, elements.GetLength(1)).Select(x => x.ToString()),
108                                            Content.Dataset.DoubleVariables);
109    }
110
111    protected override void Content_CorrelationCalculationFinished(object sender, FeatureCorrelationCalculator.CorrelationCalculationFinishedArgs e) {
112      if (InvokeRequired) {
113        Invoke(new FeatureCorrelationCalculator.CorrelationCalculationFinishedHandler(Content_CorrelationCalculationFinished), sender, e);
114      } else {
115        correlationTimeframCache.SetTimeframeCorrelation(e.Calculcator, e.Partition, e.Variable, e.Correlation);
116        SetNewCorrelation(e.Correlation);
117        UpdateDataView();
118      }
119    }
120
121    [NonDiscoverableType]
122    private class FeatureCorrelationTimeframeCache : Object {
123      private Dictionary<Tuple<IDependencyCalculator, string, string>, double[,]> timeFrameCorrelationsCache;
124
125      public FeatureCorrelationTimeframeCache()
126        : base() {
127        InitializeCaches();
128      }
129
130      private void InitializeCaches() {
131        timeFrameCorrelationsCache = new Dictionary<Tuple<IDependencyCalculator, string, string>, double[,]>();
132      }
133
134      public void Reset() {
135        InitializeCaches();
136      }
137
138      public double[,] GetTimeframeCorrelation(IDependencyCalculator calc, string partition, string variable) {
139        double[,] corr;
140        var key = new Tuple<IDependencyCalculator, string, string>(calc, partition, variable);
141        timeFrameCorrelationsCache.TryGetValue(key, out corr);
142        return corr;
143      }
144
145      public void SetTimeframeCorrelation(IDependencyCalculator calc, string partition, string variable, double[,] correlation) {
146        var key = new Tuple<IDependencyCalculator, string, string>(calc, partition, variable);
147        timeFrameCorrelationsCache[key] = correlation;
148      }
149    }
150  }
151}
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