[8578] | 1 | #region License Information
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| 2 | /* HeuristicLab
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[12012] | 3 | * Copyright (C) 2002-2015 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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[8833] | 22 | using System;
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| 23 | using System.Collections.Generic;
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[8578] | 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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[8833] | 28 | using HeuristicLab.PluginInfrastructure;
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[8578] | 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 |
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| 37 | public FeatureCorrelationView()
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| 38 | : base() {
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| 39 | InitializeComponent();
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| 40 | correlationCache = new FeatureCorrelationCache();
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| 41 | }
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| 42 |
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| 43 | protected override void OnContentChanged() {
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[8833] | 44 | if (Content != null) {
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[8874] | 45 | dataView.ColumnVisibility = dataView.RowVisibility = SetInitialVariableVisibility();
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[8833] | 46 | }
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[8578] | 47 | correlationCache.Reset();
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| 48 | base.OnContentChanged();
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| 49 | }
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| 50 |
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| 51 | protected override void CalculateCorrelation() {
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[8880] | 52 | if (correlationCalcComboBox.SelectedItem == null) return;
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| 53 | if (partitionComboBox.SelectedItem == null) return;
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[8874] | 54 |
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[8880] | 55 | IDependencyCalculator calc = (IDependencyCalculator)correlationCalcComboBox.SelectedValue;
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| 56 | string partition = (string)partitionComboBox.SelectedValue;
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[8874] | 57 | dataView.Enabled = false;
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| 58 | double[,] corr = correlationCache.GetCorrelation(calc, partition);
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| 59 | if (corr == null) {
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| 60 | fcc.CalculateElements(calc, partition);
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| 61 | } else {
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| 62 | fcc.TryCancelCalculation();
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| 63 | var correlation = new DoubleMatrix(corr, Content.Dataset.DoubleVariables, Content.Dataset.DoubleVariables);
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| 64 | UpdateDataView(correlation);
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[8578] | 65 | }
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| 66 | }
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| 67 |
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| 68 |
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[8874] | 69 |
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[8578] | 70 | protected override void Content_CorrelationCalculationFinished(object sender, FeatureCorrelationCalculator.CorrelationCalculationFinishedArgs e) {
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| 71 | if (InvokeRequired) {
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| 72 | Invoke(new FeatureCorrelationCalculator.CorrelationCalculationFinishedHandler(Content_CorrelationCalculationFinished), sender, e);
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[8874] | 73 | return;
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[8578] | 74 | }
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[8874] | 75 | correlationCache.SetCorrelation(e.Calculcator, e.Partition, e.Correlation);
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| 76 | var correlation = new DoubleMatrix(e.Correlation, Content.Dataset.DoubleVariables, Content.Dataset.DoubleVariables);
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| 77 | UpdateDataView(correlation);
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[8578] | 78 | }
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[8689] | 79 |
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[8833] | 80 | [NonDiscoverableType]
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| 81 | private class FeatureCorrelationCache : Object {
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| 82 | private Dictionary<Tuple<IDependencyCalculator, string>, double[,]> correlationsCache;
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| 83 |
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| 84 | public FeatureCorrelationCache()
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| 85 | : base() {
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| 86 | InitializeCaches();
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| 87 | }
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| 88 |
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| 89 | private void InitializeCaches() {
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| 90 | correlationsCache = new Dictionary<Tuple<IDependencyCalculator, string>, double[,]>();
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| 91 | }
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| 92 |
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| 93 | public void Reset() {
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| 94 | InitializeCaches();
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| 95 | }
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| 96 |
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| 97 | public double[,] GetCorrelation(IDependencyCalculator calc, string partition) {
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| 98 | double[,] corr;
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| 99 | var key = new Tuple<IDependencyCalculator, string>(calc, partition);
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| 100 | correlationsCache.TryGetValue(key, out corr);
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| 101 | return corr;
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| 102 | }
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| 103 |
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| 104 | public void SetCorrelation(IDependencyCalculator calc, string partition, double[,] correlation) {
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| 105 | var key = new Tuple<IDependencyCalculator, string>(calc, partition);
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| 106 | correlationsCache[key] = correlation;
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| 107 | }
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[8689] | 108 | }
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[8578] | 109 | }
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| 110 | } |
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