[8578] | 1 | #region License Information
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| 2 | /* HeuristicLab
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| 3 | * Copyright (C) 2002-2012 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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[8833] | 23 | using System.Collections.Generic;
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[8578] | 24 | using System.Linq;
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| 25 | using System.Windows.Forms;
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| 26 | using HeuristicLab.Data;
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| 27 | using HeuristicLab.MainForm;
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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("Timeframe Feature Correlation View")]
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| 32 | [Content(typeof(DataAnalysisProblemData), false)]
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| 33 | public partial class TimeframeFeatureCorrelationView : AbstractFeatureCorrelationView {
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| 34 |
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| 35 | private FeatureCorrelationTimeframeCache correlationTimeframCache;
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[8880] | 36 | private string lastFramesValue;
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[8578] | 37 |
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| 38 | public TimeframeFeatureCorrelationView() {
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| 39 | InitializeComponent();
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| 40 | correlationTimeframCache = new FeatureCorrelationTimeframeCache();
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[8880] | 41 | errorProvider.SetIconAlignment(timeframeTextbox, ErrorIconAlignment.MiddleRight);
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| 42 | errorProvider.SetIconPadding(timeframeTextbox, 2);
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| 43 | lastFramesValue = timeframeTextbox.Text;
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[8578] | 44 | }
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| 45 |
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| 46 | protected override void OnContentChanged() {
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| 47 | correlationTimeframCache.Reset();
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| 48 | if (Content != null) {
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[8833] | 49 | dataView.RowVisibility = SetInitialVariableVisibility();
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[8880] | 50 | SetVariableSelectionComboBox();
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[8578] | 51 | }
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| 52 | base.OnContentChanged();
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| 53 | }
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| 54 |
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[8880] | 55 | protected virtual void SetVariableSelectionComboBox() {
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| 56 | variableSelectionComboBox.DataSource = Content.Dataset.DoubleVariables.ToList();
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| 57 | }
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| 58 |
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[8874] | 59 | private void VariableSelectionComboBox_SelectedChangeCommitted(object sender, EventArgs e) {
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[8578] | 60 | CalculateCorrelation();
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| 61 | }
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[8874] | 62 | private void TimeframeTextbox_KeyDown(object sender, System.Windows.Forms.KeyEventArgs e) {
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[8880] | 63 | if (e.KeyCode == Keys.Enter || e.KeyCode == Keys.Return) {
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| 64 | timeFrameLabel.Select(); // select label to validate data
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[8833] | 65 | }
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[8880] | 66 |
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| 67 | if (e.KeyCode == Keys.Escape) {
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| 68 | timeframeTextbox.Text = lastFramesValue;
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| 69 | timeFrameLabel.Select(); // select label to validate data
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| 70 | }
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[8578] | 71 | }
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[8880] | 72 | private void TimeframeTextbox_Validated(object sender, System.EventArgs e) {
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| 73 | lastFramesValue = timeframeTextbox.Text;
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| 74 | errorProvider.SetError(timeframeTextbox, string.Empty);
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| 75 | CalculateCorrelation();
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| 76 | }
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| 77 | private void TimeframeTextbox_Validating(object sender, System.ComponentModel.CancelEventArgs e) {
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| 78 | int help;
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| 79 | if (!int.TryParse(timeframeTextbox.Text, out help)) {
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| 80 | errorProvider.SetError(timeframeTextbox, "Timeframe couldn't be parsed. Enter a valid integer value.");
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| 81 | e.Cancel = true;
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| 82 | } else {
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| 83 | if (help > 50) {
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| 84 | DialogResult dr = MessageBox.Show("The entered value is bigger than 50. Are you sure you want to calculate? " +
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| 85 | "The calculation could take some time.", "Huge Value Warning", MessageBoxButtons.YesNo);
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| 86 | e.Cancel = !dr.Equals(DialogResult.Yes);
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| 87 | } else if (help < 0) {
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| 88 | errorProvider.SetError(timeframeTextbox, "The entered value can't be negative!");
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| 89 | e.Cancel = true;
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| 90 | }
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| 91 | }
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| 92 | }
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[8578] | 93 |
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| 94 | protected override void CalculateCorrelation() {
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[8880] | 95 | if (correlationCalcComboBox.SelectedItem != null && partitionComboBox.SelectedItem != null
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| 96 | && variableSelectionComboBox.SelectedItem != null) {
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| 97 | string variable = (string)variableSelectionComboBox.SelectedItem;
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| 98 | IDependencyCalculator calc = (IDependencyCalculator)correlationCalcComboBox.SelectedValue;
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| 99 | string partition = (string)partitionComboBox.SelectedValue;
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[8833] | 100 | int frames;
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[8880] | 101 | int.TryParse(timeframeTextbox.Text, out frames);
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[8833] | 102 | dataView.Enabled = false;
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[8578] | 103 | double[,] corr = correlationTimeframCache.GetTimeframeCorrelation(calc, partition, variable);
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| 104 | if (corr == null) {
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| 105 | fcc.CalculateTimeframeElements(calc, partition, variable, frames);
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| 106 | } else if (corr.GetLength(1) <= frames) {
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| 107 | fcc.CalculateTimeframeElements(calc, partition, variable, frames, corr);
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| 108 | } else {
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[8833] | 109 | fcc.TryCancelCalculation();
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[8874] | 110 | var columnNames = Enumerable.Range(0, corr.GetLength(1)).Select(x => x.ToString());
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| 111 | var correlation = new DoubleMatrix(corr, columnNames, Content.Dataset.DoubleVariables);
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| 112 | ((IStringConvertibleMatrix)correlation).Columns = frames + 1;
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| 113 | UpdateDataView(correlation);
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[8578] | 114 | }
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| 115 | }
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| 116 | }
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| 117 |
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| 118 | protected override void Content_CorrelationCalculationFinished(object sender, FeatureCorrelationCalculator.CorrelationCalculationFinishedArgs e) {
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| 119 | if (InvokeRequired) {
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| 120 | Invoke(new FeatureCorrelationCalculator.CorrelationCalculationFinishedHandler(Content_CorrelationCalculationFinished), sender, e);
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| 121 | } else {
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| 122 | correlationTimeframCache.SetTimeframeCorrelation(e.Calculcator, e.Partition, e.Variable, e.Correlation);
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[8874] | 123 | var columnNames = Enumerable.Range(0, e.Correlation.GetLength(1)).Select(x => x.ToString());
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| 124 | var correlation = new DoubleMatrix(e.Correlation, columnNames, Content.Dataset.DoubleVariables);
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| 125 | UpdateDataView(correlation);
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[8578] | 126 | }
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| 127 | }
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| 128 |
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[8833] | 129 | [NonDiscoverableType]
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| 130 | private class FeatureCorrelationTimeframeCache : Object {
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| 131 | private Dictionary<Tuple<IDependencyCalculator, string, string>, double[,]> timeFrameCorrelationsCache;
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| 132 |
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| 133 | public FeatureCorrelationTimeframeCache()
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| 134 | : base() {
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| 135 | InitializeCaches();
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[8578] | 136 | }
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[8689] | 137 |
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[8833] | 138 | private void InitializeCaches() {
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| 139 | timeFrameCorrelationsCache = new Dictionary<Tuple<IDependencyCalculator, string, string>, double[,]>();
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| 140 | }
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| 141 |
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| 142 | public void Reset() {
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| 143 | InitializeCaches();
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| 144 | }
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| 145 |
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| 146 | public double[,] GetTimeframeCorrelation(IDependencyCalculator calc, string partition, string variable) {
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| 147 | double[,] corr;
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| 148 | var key = new Tuple<IDependencyCalculator, string, string>(calc, partition, variable);
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| 149 | timeFrameCorrelationsCache.TryGetValue(key, out corr);
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| 150 | return corr;
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| 151 | }
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| 152 |
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| 153 | public void SetTimeframeCorrelation(IDependencyCalculator calc, string partition, string variable, double[,] correlation) {
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| 154 | var key = new Tuple<IDependencyCalculator, string, string>(calc, partition, variable);
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| 155 | timeFrameCorrelationsCache[key] = correlation;
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| 156 | }
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[8689] | 157 | }
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[8578] | 158 | }
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| 159 | } |
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