1 | #region License Information
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2 | /* HeuristicLab
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3 | * Copyright (C) 2002-2016 Heuristic and Evolutionary Algorithms Laboratory (HEAL)
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4 | *
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5 | * This file is part of HeuristicLab.
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6 | *
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7 | * HeuristicLab is free software: you can redistribute it and/or modify
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8 | * it under the terms of the GNU General Public License as published by
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9 | * the Free Software Foundation, either version 3 of the License, or
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10 | * (at your option) any later version.
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11 | *
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12 | * HeuristicLab is distributed in the hope that it will be useful,
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13 | * but WITHOUT ANY WARRANTY; without even the implied warranty of
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14 | * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
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15 | * GNU General Public License for more details.
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16 | *
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17 | * You should have received a copy of the GNU General Public License
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18 | * along with HeuristicLab. If not, see <http://www.gnu.org/licenses/>.
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19 | */
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20 | #endregion
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21 |
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22 | using System;
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23 | using System.Collections.Generic;
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24 | using System.Windows.Forms;
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25 | using HeuristicLab.Data;
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26 | using HeuristicLab.MainForm;
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27 | using HeuristicLab.MainForm.WindowsForms;
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28 | using HeuristicLab.PluginInfrastructure;
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29 |
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30 | namespace HeuristicLab.Problems.DataAnalysis.Views {
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31 | [View("Feature Correlation View")]
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32 | [Content(typeof(DataAnalysisProblemData), false)]
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33 | public partial class FeatureCorrelationView : AbstractFeatureCorrelationView {
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34 |
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35 | private FeatureCorrelationCache correlationCache;
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36 | private new FeatureCorrelationCalculator CorrelationCalculator {
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37 | get { return (FeatureCorrelationCalculator)base.CorrelationCalculator; }
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38 | set { base.CorrelationCalculator = value; }
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39 | }
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40 |
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41 | public FeatureCorrelationView()
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42 | : base() {
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43 | InitializeComponent();
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44 | CorrelationCalculator = new FeatureCorrelationCalculator();
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45 | correlationCache = new FeatureCorrelationCache();
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46 | }
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47 |
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48 | protected override void OnContentChanged() {
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49 | if (Content != null) {
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50 | dataView.ColumnVisibility = dataView.RowVisibility = SetInitialVariableVisibility();
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51 | }
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52 | correlationCache.Reset();
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53 | base.OnContentChanged();
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54 | }
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55 |
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56 | private void ignoreMissingValuesCheckbox_CheckedChanged(object sender, EventArgs e) {
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57 | CalculateCorrelation();
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58 | }
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59 |
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60 | protected override void CalculateCorrelation() {
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61 | if (correlationCalcComboBox.SelectedItem == null) return;
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62 | if (partitionComboBox.SelectedItem == null) return;
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63 |
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64 | IDependencyCalculator calc = (IDependencyCalculator)correlationCalcComboBox.SelectedValue;
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65 | string partition = (string)partitionComboBox.SelectedValue;
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66 | dataView.Enabled = false;
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67 | double[,] corr = correlationCache.GetCorrelation(calc, partition, ignoreMissingValuesCheckbox.Checked);
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68 | if (corr == null) {
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69 | CorrelationCalculator.CalculateElements(Content, calc, partition, ignoreMissingValuesCheckbox.Checked);
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70 | } else {
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71 | CorrelationCalculator.TryCancelCalculation();
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72 | var correlation = new DoubleMatrix(corr, Content.Dataset.DoubleVariables, Content.Dataset.DoubleVariables);
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73 | UpdateDataView(correlation);
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74 | }
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75 | }
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76 |
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77 | protected override void FeatureCorrelation_CalculationFinished(object sender, AbstractFeatureCorrelationCalculator.CorrelationCalculationFinishedArgs e) {
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78 | if (InvokeRequired) {
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79 | Invoke(new AbstractFeatureCorrelationCalculator.CorrelationCalculationFinishedHandler(FeatureCorrelation_CalculationFinished), sender, e);
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80 | return;
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81 | }
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82 | correlationCache.SetCorrelation(e.Calculcator, e.Partition, e.IgnoreMissingValues, e.Correlation);
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83 |
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84 | var correlation = new DoubleMatrix(e.Correlation, Content.Dataset.DoubleVariables, Content.Dataset.DoubleVariables);
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85 | UpdateDataView(correlation);
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86 | }
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87 |
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88 | [NonDiscoverableType]
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89 | private class FeatureCorrelationCache : Object {
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90 | private Dictionary<Tuple<IDependencyCalculator, string, bool>, double[,]> correlationsCache;
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91 |
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92 | public FeatureCorrelationCache()
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93 | : base() {
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94 | InitializeCaches();
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95 | }
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96 |
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97 | private void InitializeCaches() {
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98 | correlationsCache = new Dictionary<Tuple<IDependencyCalculator, string, bool>, double[,]>();
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99 | }
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100 |
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101 | public void Reset() {
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102 | InitializeCaches();
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103 | }
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104 |
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105 | public double[,] GetCorrelation(IDependencyCalculator calc, string partition, bool ignoreMissingValues) {
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106 | double[,] corr;
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107 | var key = Tuple.Create(calc, partition, ignoreMissingValues);
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108 | correlationsCache.TryGetValue(key, out corr);
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109 | return corr;
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110 | }
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111 |
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112 | public void SetCorrelation(IDependencyCalculator calc, string partition, bool ignoreMissingValues, double[,] correlation) {
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113 | var key = Tuple.Create(calc, partition, ignoreMissingValues);
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114 | correlationsCache[key] = correlation;
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115 | }
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116 | }
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117 | }
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118 | } |
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