[8578] | 1 | #region License Information
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| 2 | /* HeuristicLab
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[9456] | 3 | * Copyright (C) 2002-2013 Heuristic and Evolutionary Algorithms Laboratory (HEAL)
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[8578] | 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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[8880] | 22 | using System.Collections.Generic;
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[8578] | 23 | using System.ComponentModel;
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| 24 | using System.Linq;
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| 25 | using System.Windows.Forms;
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[8861] | 26 | using HeuristicLab.Data;
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[8578] | 27 | using HeuristicLab.MainForm;
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| 28 | using HeuristicLab.MainForm.WindowsForms;
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[8833] | 29 | using HeuristicLab.PluginInfrastructure;
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[8578] | 30 |
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| 31 | namespace HeuristicLab.Problems.DataAnalysis.Views {
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| 32 | [View("Feature Correlation View")]
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| 33 | [Content(typeof(DataAnalysisProblemData), false)]
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| 34 | public abstract partial class AbstractFeatureCorrelationView : AsynchronousContentView {
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[8880] | 35 | public const string ALLSAMPLES = "All Samples";
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| 36 | public const string TRAININGSAMPLES = "Training Samples";
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| 37 | public const string TESTSAMPLES = "Test Samples";
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| 38 |
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| 39 | public static readonly IList<string> Partitions = new List<string>() { ALLSAMPLES, TRAININGSAMPLES, TESTSAMPLES };
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| 40 |
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[8578] | 41 | protected FeatureCorrelationCalculator fcc;
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| 42 |
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| 43 | public new DataAnalysisProblemData Content {
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| 44 | get { return (DataAnalysisProblemData)base.Content; }
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| 45 | set { base.Content = value; }
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| 46 | }
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| 47 |
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[8729] | 48 | protected AbstractFeatureCorrelationView() {
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[8578] | 49 | InitializeComponent();
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| 50 | fcc = new FeatureCorrelationCalculator();
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[8833] | 51 | var calculators = ApplicationManager.Manager.GetInstances<IDependencyCalculator>();
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| 52 | var calcList = calculators.OrderBy(c => c.Name).Select(c => new { Name = c.Name, Calculator = c }).ToList();
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[8880] | 53 | correlationCalcComboBox.ValueMember = "Calculator";
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| 54 | correlationCalcComboBox.DisplayMember = "Name";
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| 55 | correlationCalcComboBox.DataSource = calcList;
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| 56 | correlationCalcComboBox.SelectedItem = calcList.First(c => c.Calculator.GetType().Equals(typeof(PearsonsRDependenceCalculator)));
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| 57 | partitionComboBox.DataSource = Partitions;
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| 58 | partitionComboBox.SelectedItem = TRAININGSAMPLES;
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[11098] | 59 | progressPanel.Visible = false;
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[8578] | 60 | }
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| 61 |
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| 62 | protected override void RegisterContentEvents() {
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| 63 | base.RegisterContentEvents();
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[8729] | 64 | fcc.ProgressCalculation += new FeatureCorrelationCalculator.ProgressCalculationHandler(Content_ProgressCalculation);
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| 65 | fcc.CorrelationCalculationFinished += new FeatureCorrelationCalculator.CorrelationCalculationFinishedHandler(Content_CorrelationCalculationFinished);
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[8578] | 66 | }
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| 67 |
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| 68 | protected override void DeregisterContentEvents() {
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[8880] | 69 | fcc.CorrelationCalculationFinished -= new FeatureCorrelationCalculator.CorrelationCalculationFinishedHandler(Content_CorrelationCalculationFinished);
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| 70 | fcc.ProgressCalculation -= new FeatureCorrelationCalculator.ProgressCalculationHandler(Content_ProgressCalculation);
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[8578] | 71 | base.DeregisterContentEvents();
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| 72 | }
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| 73 |
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| 74 | protected override void OnContentChanged() {
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| 75 | base.OnContentChanged();
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[8833] | 76 | fcc.TryCancelCalculation();
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[8578] | 77 | if (Content != null) {
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| 78 | fcc.ProblemData = Content;
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| 79 | CalculateCorrelation();
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| 80 | } else {
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[11098] | 81 | progressPanel.Visible = false;
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[8861] | 82 | dataView.Maximum = 0;
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| 83 | dataView.Minimum = 0;
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[8833] | 84 | dataView.Content = null;
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| 85 | dataView.ResetVisibility();
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[8578] | 86 | }
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| 87 | }
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| 88 |
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[8833] | 89 | protected virtual bool[] SetInitialVariableVisibility() {
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[8689] | 90 | bool[] initialVisibility = new bool[Content.Dataset.DoubleVariables.Count()];
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| 91 | int i = 0;
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| 92 | foreach (var variable in Content.Dataset.DoubleVariables) {
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| 93 | initialVisibility[i] = Content.AllowedInputVariables.Contains(variable);
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| 94 | i++;
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| 95 | }
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| 96 | return initialVisibility;
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| 97 | }
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| 98 |
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[8578] | 99 | protected void CorrelationMeasureComboBox_SelectedChangeCommitted(object sender, System.EventArgs e) {
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| 100 | CalculateCorrelation();
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| 101 | }
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| 102 | protected void PartitionComboBox_SelectedChangeCommitted(object sender, System.EventArgs e) {
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| 103 | CalculateCorrelation();
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| 104 | }
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| 105 |
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| 106 | protected abstract void CalculateCorrelation();
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[8729] | 107 | protected abstract void Content_CorrelationCalculationFinished(object sender, FeatureCorrelationCalculator.CorrelationCalculationFinishedArgs e);
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[8578] | 108 |
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[8874] | 109 | protected void UpdateDataView(DoubleMatrix correlation) {
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[8880] | 110 | IDependencyCalculator calc = (IDependencyCalculator)correlationCalcComboBox.SelectedValue;
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[8861] | 111 | maximumLabel.Text = calc.Maximum.ToString();
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| 112 | minimumLabel.Text = calc.Minimum.ToString();
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[8578] | 113 |
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[8874] | 114 | correlation.SortableView = true;
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[8861] | 115 | dataView.Maximum = calc.Maximum;
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| 116 | dataView.Minimum = calc.Minimum;
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[8874] | 117 | dataView.Content = correlation;
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[8833] | 118 | dataView.Enabled = true;
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[8578] | 119 | }
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| 120 |
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| 121 | protected void Content_ProgressCalculation(object sender, ProgressChangedEventArgs e) {
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[8881] | 122 | if (!progressPanel.Visible && e.ProgressPercentage != progressBar.Maximum) {
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| 123 | progressPanel.Show();
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| 124 | } else if (e.ProgressPercentage == progressBar.Maximum) {
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| 125 | progressPanel.Hide();
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[8578] | 126 | }
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[8881] | 127 | progressBar.Value = e.ProgressPercentage;
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[8578] | 128 | }
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| 129 | }
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| 130 | } |
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