[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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| 23 | using System.Collections.Generic;
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| 24 | using System.ComponentModel;
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| 25 | using System.Linq;
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| 26 | using HeuristicLab.PluginInfrastructure;
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| 27 |
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[8729] | 28 | namespace HeuristicLab.Problems.DataAnalysis.Views {
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| 29 | [NonDiscoverableType]
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[8578] | 30 | public class FeatureCorrelationCalculator : Object {
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| 31 |
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| 32 | private BackgroundWorker bw;
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| 33 | private BackgroundWorkerInfo bwInfo;
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| 34 |
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| 35 | private IDataAnalysisProblemData problemData;
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| 36 | public IDataAnalysisProblemData ProblemData {
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| 37 | set {
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| 38 | if (bw != null) {
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| 39 | bw.CancelAsync();
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| 40 | }
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| 41 | problemData = value;
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| 42 | }
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| 43 | }
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| 44 |
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| 45 | public FeatureCorrelationCalculator()
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| 46 | : base() { }
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| 47 |
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| 48 | public FeatureCorrelationCalculator(IDataAnalysisProblemData problemData)
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| 49 | : base() {
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| 50 | this.problemData = problemData;
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| 51 | }
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| 52 |
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[8833] | 53 | public void CalculateElements(IDependencyCalculator calc, string partition) {
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[8578] | 54 | CalculateElements(problemData.Dataset, calc, partition);
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| 55 | }
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| 56 |
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[8833] | 57 | // returns true if any calculation takes place
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| 58 | public bool CalculateTimeframeElements(IDependencyCalculator calc, string partition, string variable, int frames, double[,] correlation = null) {
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[8578] | 59 | if (correlation == null || correlation.GetLength(1) <= frames) {
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| 60 | CalculateElements(problemData.Dataset, calc, partition, variable, frames, correlation);
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| 61 | return true;
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| 62 | } else {
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| 63 | return false;
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| 64 | }
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| 65 | }
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| 66 |
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[8833] | 67 | public void TryCancelCalculation() {
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| 68 | if (bw != null && bw.IsBusy) {
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| 69 | bwInfo = null;
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| 70 | bw.CancelAsync();
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| 71 | }
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| 72 | }
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| 73 |
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| 74 | private void CalculateElements(Dataset dataset, IDependencyCalculator calc, string partition, string variable = null, int frames = 0, double[,] alreadyCalculated = null) {
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[8578] | 75 | bwInfo = new BackgroundWorkerInfo { Dataset = dataset, Calculator = calc, Partition = partition, Variable = variable, Frames = frames, AlreadyCalculated = alreadyCalculated };
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| 76 | if (bw == null) {
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| 77 | bw = new BackgroundWorker();
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| 78 | bw.WorkerReportsProgress = true;
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| 79 | bw.WorkerSupportsCancellation = true;
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| 80 | bw.DoWork += new DoWorkEventHandler(BwDoWork);
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| 81 | bw.ProgressChanged += new ProgressChangedEventHandler(BwProgressChanged);
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| 82 | bw.RunWorkerCompleted += new RunWorkerCompletedEventHandler(BwRunWorkerCompleted);
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| 83 | }
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| 84 | if (bw.IsBusy) {
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| 85 | bw.CancelAsync();
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| 86 | } else {
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| 87 | bw.RunWorkerAsync(bwInfo);
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| 88 | }
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| 89 | }
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| 90 |
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| 91 | #region backgroundworker
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| 92 | private void BwDoWork(object sender, DoWorkEventArgs e) {
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| 93 | BackgroundWorkerInfo bwInfo = (BackgroundWorkerInfo)e.Argument;
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| 94 | if (bwInfo.Variable == null) {
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| 95 | BwCalculateCorrelation(sender, e);
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| 96 | } else {
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| 97 | BwCalculateTimeframeCorrelation(sender, e);
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| 98 | }
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| 99 | }
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| 100 |
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| 101 | private void BwCalculateCorrelation(object sender, DoWorkEventArgs e) {
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| 102 | BackgroundWorker worker = sender as BackgroundWorker;
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| 103 |
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| 104 | BackgroundWorkerInfo bwInfo = (BackgroundWorkerInfo)e.Argument;
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| 105 | Dataset dataset = bwInfo.Dataset;
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[8833] | 106 | string partition = bwInfo.Partition;
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| 107 | IDependencyCalculator calc = bwInfo.Calculator;
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[8578] | 108 |
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| 109 | IList<string> doubleVariableNames = dataset.DoubleVariables.ToList();
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[8689] | 110 | OnlineCalculatorError error = OnlineCalculatorError.None;
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[8578] | 111 | int length = doubleVariableNames.Count;
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| 112 | double[,] elements = new double[length, length];
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| 113 | double calculations = (Math.Pow(length, 2) + length) / 2;
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| 114 |
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| 115 | worker.ReportProgress(0);
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| 116 |
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| 117 | for (int i = 0; i < length; i++) {
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| 118 | for (int j = 0; j < i + 1; j++) {
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| 119 | if (worker.CancellationPending) {
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[8833] | 120 | worker.ReportProgress(100);
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[8578] | 121 | e.Cancel = true;
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| 122 | return;
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| 123 | }
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| 124 | IEnumerable<double> var1 = GetRelevantValues(problemData, partition, doubleVariableNames[i]);
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| 125 | IEnumerable<double> var2 = GetRelevantValues(problemData, partition, doubleVariableNames[j]);
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| 126 |
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[8833] | 127 | elements[i, j] = calc.Calculate(var1, var2, out error);
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[8578] | 128 |
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| 129 | if (!error.Equals(OnlineCalculatorError.None)) {
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[8689] | 130 | elements[i, j] = double.NaN;
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[8578] | 131 | }
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[8689] | 132 | elements[j, i] = elements[i, j];
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[8578] | 133 | worker.ReportProgress((int)Math.Round((((Math.Pow(i, 2) + i) / 2 + j + 1.0) / calculations) * 100));
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| 134 | }
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| 135 | }
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| 136 | e.Result = elements;
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[8833] | 137 | worker.ReportProgress(100);
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[8578] | 138 | }
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| 139 |
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| 140 | private void BwCalculateTimeframeCorrelation(object sender, DoWorkEventArgs e) {
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| 141 | BackgroundWorker worker = sender as BackgroundWorker;
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| 142 |
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| 143 | BackgroundWorkerInfo bwInfo = (BackgroundWorkerInfo)e.Argument;
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| 144 | Dataset dataset = bwInfo.Dataset;
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[8833] | 145 | string partition = bwInfo.Partition;
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| 146 | IDependencyCalculator calc = bwInfo.Calculator;
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[8578] | 147 | string variable = bwInfo.Variable;
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| 148 | int frames = bwInfo.Frames;
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| 149 | double[,] alreadyCalculated = bwInfo.AlreadyCalculated;
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| 150 |
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| 151 | IList<string> doubleVariableNames = dataset.DoubleVariables.ToList();
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[8689] | 152 | OnlineCalculatorError error = OnlineCalculatorError.None;
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[8578] | 153 | int length = doubleVariableNames.Count;
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| 154 | double[,] elements = new double[length, frames + 1];
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| 155 | double calculations = (frames + 1) * length;
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| 156 |
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| 157 | worker.ReportProgress(0);
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| 158 |
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| 159 | int start = 0;
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| 160 | if (alreadyCalculated != null) {
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| 161 | for (int i = 0; i < alreadyCalculated.GetLength(0); i++) {
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| 162 | Array.Copy(alreadyCalculated, i * alreadyCalculated.GetLength(1), elements, i * elements.GetLength(1), alreadyCalculated.GetLength(1));
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| 163 | }
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| 164 | start = alreadyCalculated.GetLength(1);
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| 165 | }
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| 166 |
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| 167 | for (int i = 0; i < length; i++) {
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| 168 | for (int j = start; j <= frames; j++) {
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| 169 | if (worker.CancellationPending) {
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[8833] | 170 | worker.ReportProgress(100);
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[8578] | 171 | e.Cancel = true;
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| 172 | return;
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| 173 | }
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| 174 |
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| 175 | IEnumerable<double> var1 = GetRelevantValues(problemData, partition, variable);
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| 176 | IEnumerable<double> var2 = GetRelevantValues(problemData, partition, doubleVariableNames[i]);
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| 177 |
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| 178 | var valuesInFrame = var1.Take(j);
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| 179 | var help = var1.Skip(j).ToList();
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| 180 | help.AddRange(valuesInFrame);
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| 181 | var1 = help;
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| 182 |
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[8833] | 183 | elements[i, j] = calc.Calculate(var1, var2, out error);
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[8578] | 184 |
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| 185 | if (!error.Equals(OnlineCalculatorError.None)) {
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[8689] | 186 | elements[i, j] = double.NaN;
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[8578] | 187 | }
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| 188 | worker.ReportProgress((int)((100.0 / calculations) * (i * (frames + 1) + j + 1)));
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| 189 | }
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| 190 | }
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| 191 | e.Result = elements;
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[8833] | 192 | worker.ReportProgress(100);
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[8578] | 193 | }
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| 194 |
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[8833] | 195 | private IEnumerable<double> GetRelevantValues(IDataAnalysisProblemData problemData, string partition, string variable) {
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[8874] | 196 | IEnumerable<double> var;
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| 197 | if (partition.Equals(FeatureCorrelationPartitions.TRAININGSAMPLES))
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| 198 | var = problemData.Dataset.GetDoubleValues(variable, problemData.TrainingIndices);
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| 199 | else if (partition.Equals(FeatureCorrelationPartitions.TESTSAMPLES))
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| 200 | var = problemData.Dataset.GetDoubleValues(variable, problemData.TestIndices);
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| 201 | else var = problemData.Dataset.GetDoubleValues(variable);
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[8578] | 202 | return var;
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| 203 | }
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| 204 |
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| 205 | private void BwRunWorkerCompleted(object sender, RunWorkerCompletedEventArgs e) {
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| 206 | BackgroundWorker worker = sender as BackgroundWorker;
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| 207 | if (!e.Cancelled && !worker.CancellationPending) {
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[8874] | 208 | if (e.Error != null) {
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[8578] | 209 | ErrorHandling.ShowErrorDialog(e.Error);
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| 210 | } else {
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| 211 | OnCorrelationCalculationFinished((double[,])e.Result, bwInfo.Calculator, bwInfo.Partition, bwInfo.Variable);
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| 212 | }
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[8833] | 213 | } else if (bwInfo != null) {
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[8578] | 214 | bw.RunWorkerAsync(bwInfo);
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| 215 | }
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| 216 | }
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| 217 | #endregion
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| 218 |
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| 219 | #region events
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| 220 | public class CorrelationCalculationFinishedArgs : EventArgs {
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| 221 | public double[,] Correlation { get; private set; }
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[8833] | 222 | public IDependencyCalculator Calculcator { get; private set; }
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| 223 | public string Partition { get; private set; }
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[8578] | 224 | public string Variable { get; private set; }
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| 225 |
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[8833] | 226 | public CorrelationCalculationFinishedArgs(double[,] correlation, IDependencyCalculator calculator, string partition, string variable = null) {
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[8578] | 227 | this.Correlation = correlation;
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| 228 | this.Calculcator = calculator;
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| 229 | this.Partition = partition;
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| 230 | this.Variable = variable;
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| 231 | }
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| 232 | }
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[8729] | 233 |
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[8578] | 234 | public delegate void CorrelationCalculationFinishedHandler(object sender, CorrelationCalculationFinishedArgs e);
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| 235 | public event CorrelationCalculationFinishedHandler CorrelationCalculationFinished;
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[8833] | 236 | protected virtual void OnCorrelationCalculationFinished(double[,] correlation, IDependencyCalculator calculator, string partition, string variable = null) {
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[8578] | 237 | var handler = CorrelationCalculationFinished;
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| 238 | if (handler != null)
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| 239 | handler(this, new CorrelationCalculationFinishedArgs(correlation, calculator, partition, variable));
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| 240 | }
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| 241 |
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| 242 | public delegate void ProgressCalculationHandler(object sender, ProgressChangedEventArgs e);
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| 243 | public event ProgressCalculationHandler ProgressCalculation;
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| 244 | protected void BwProgressChanged(object sender, ProgressChangedEventArgs e) {
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| 245 | BackgroundWorker worker = sender as BackgroundWorker;
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[8833] | 246 | if (ProgressCalculation != null) {
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[8578] | 247 | ProgressCalculation(sender, e);
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| 248 | }
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| 249 | }
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| 250 | #endregion
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| 251 |
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[8729] | 252 | private class BackgroundWorkerInfo {
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[8578] | 253 | public Dataset Dataset { get; set; }
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[8833] | 254 | public IDependencyCalculator Calculator { get; set; }
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| 255 | public string Partition { get; set; }
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[8578] | 256 | public string Variable { get; set; }
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| 257 | public int Frames { get; set; }
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| 258 | public double[,] AlreadyCalculated { get; set; }
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| 259 | }
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| 260 | }
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| 261 | }
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