[14889] | 1 | #region License Information
|
---|
| 2 | /* HeuristicLab
|
---|
| 3 | * Copyright (C) 2002-2016 Heuristic and Evolutionary Algorithms Laboratory (HEAL)
|
---|
| 4 | *
|
---|
| 5 | * This file is part of HeuristicLab.
|
---|
| 6 | *
|
---|
| 7 | * HeuristicLab is free software: you can redistribute it and/or modify
|
---|
| 8 | * it under the terms of the GNU General Public License as published by
|
---|
| 9 | * the Free Software Foundation, either version 3 of the License, or
|
---|
| 10 | * (at your option) any later version.
|
---|
| 11 | *
|
---|
| 12 | * HeuristicLab is distributed in the hope that it will be useful,
|
---|
| 13 | * but WITHOUT ANY WARRANTY; without even the implied warranty of
|
---|
| 14 | * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
|
---|
| 15 | * GNU General Public License for more details.
|
---|
| 16 | *
|
---|
| 17 | * You should have received a copy of the GNU General Public License
|
---|
| 18 | * along with HeuristicLab. If not, see <http://www.gnu.org/licenses/>.
|
---|
| 19 | */
|
---|
| 20 | #endregion
|
---|
| 21 | using System;
|
---|
| 22 | using System.Drawing;
|
---|
| 23 | using System.Linq;
|
---|
| 24 | using HeuristicLab.Data;
|
---|
| 25 | using HeuristicLab.MainForm;
|
---|
| 26 | using HeuristicLab.Optimization;
|
---|
| 27 |
|
---|
| 28 | namespace HeuristicLab.Problems.DataAnalysis.Views {
|
---|
| 29 | [View("Residual Analysis")]
|
---|
| 30 | [Content(typeof(IRegressionSolution))]
|
---|
[14943] | 31 | public sealed partial class RegressionSolutionResidualAnalysisView : DataAnalysisSolutionEvaluationView {
|
---|
[14889] | 32 |
|
---|
[14943] | 33 | // names should be relatively save to prevent collisions with variable names in the dataset
|
---|
| 34 | private const string PredictionLabel = "> Prediction";
|
---|
| 35 | private const string ResidualLabel = "> Residual";
|
---|
| 36 | private const string AbsResidualLabel = "> Residual (abs.)";
|
---|
| 37 | private const string RelativeErrorLabel = "> Relative Error";
|
---|
| 38 | private const string AbsRelativeErrorLabel = "> Relative Error (abs.)";
|
---|
| 39 | private const string PartitionLabel = "> Partition";
|
---|
| 40 |
|
---|
[14889] | 41 | public new IRegressionSolution Content {
|
---|
| 42 | get { return (IRegressionSolution)base.Content; }
|
---|
[14943] | 43 | set { base.Content = value; }
|
---|
[14889] | 44 | }
|
---|
| 45 |
|
---|
[14943] | 46 | public RegressionSolutionResidualAnalysisView() : base() {
|
---|
[14889] | 47 | InitializeComponent();
|
---|
| 48 | }
|
---|
| 49 |
|
---|
| 50 | #region events
|
---|
| 51 | protected override void RegisterContentEvents() {
|
---|
| 52 | base.RegisterContentEvents();
|
---|
| 53 | Content.ModelChanged += new EventHandler(Content_ModelChanged);
|
---|
| 54 | Content.ProblemDataChanged += new EventHandler(Content_ProblemDataChanged);
|
---|
| 55 | }
|
---|
| 56 |
|
---|
| 57 | protected override void DeregisterContentEvents() {
|
---|
| 58 | base.DeregisterContentEvents();
|
---|
| 59 | Content.ModelChanged -= new EventHandler(Content_ModelChanged);
|
---|
| 60 | Content.ProblemDataChanged -= new EventHandler(Content_ProblemDataChanged);
|
---|
| 61 | }
|
---|
| 62 |
|
---|
[14943] | 63 | private void Content_ProblemDataChanged(object sender, EventArgs e) {
|
---|
[14889] | 64 | OnContentChanged();
|
---|
| 65 | }
|
---|
| 66 |
|
---|
[14943] | 67 | private void Content_ModelChanged(object sender, EventArgs e) {
|
---|
[14889] | 68 | OnContentChanged();
|
---|
| 69 | }
|
---|
| 70 |
|
---|
| 71 | protected override void OnContentChanged() {
|
---|
| 72 | base.OnContentChanged();
|
---|
| 73 | if (Content == null) {
|
---|
| 74 | bubbleChartView.Content = null;
|
---|
| 75 | } else {
|
---|
| 76 | UpdateBubbleChart();
|
---|
| 77 | }
|
---|
| 78 | }
|
---|
| 79 |
|
---|
| 80 | private void UpdateBubbleChart() {
|
---|
| 81 | if (Content == null) return;
|
---|
| 82 | var selectedXAxis = bubbleChartView.SelectedXAxis;
|
---|
| 83 | var selectedYAxis = bubbleChartView.SelectedYAxis;
|
---|
| 84 |
|
---|
| 85 | var problemData = Content.ProblemData;
|
---|
| 86 | var ds = problemData.Dataset;
|
---|
| 87 | var runs = new RunCollection();
|
---|
| 88 | // produce training and test values separately as they might overlap (e.g. for ensembles)
|
---|
| 89 | var predictedValuesTrain = Content.EstimatedTrainingValues.ToArray();
|
---|
| 90 | int j = 0; // idx for predictedValues array
|
---|
| 91 | foreach (var i in problemData.TrainingIndices) {
|
---|
| 92 | var run = CreateRunForIdx(i, problemData);
|
---|
| 93 | var targetValue = ds.GetDoubleValue(problemData.TargetVariable, i);
|
---|
| 94 | AddErrors(run, predictedValuesTrain[j++], targetValue);
|
---|
[14943] | 95 | run.Results.Add(PartitionLabel, new StringValue("Training"));
|
---|
[14889] | 96 | run.Color = Color.Gold;
|
---|
| 97 | runs.Add(run);
|
---|
| 98 | }
|
---|
| 99 | var predictedValuesTest = Content.EstimatedTestValues.ToArray();
|
---|
| 100 | j = 0;
|
---|
| 101 | foreach (var i in problemData.TestIndices) {
|
---|
| 102 | var run = CreateRunForIdx(i, problemData);
|
---|
| 103 | var targetValue = ds.GetDoubleValue(problemData.TargetVariable, i);
|
---|
| 104 | AddErrors(run, predictedValuesTest[j++], targetValue);
|
---|
[14943] | 105 | run.Results.Add(PartitionLabel, new StringValue("Test"));
|
---|
[14889] | 106 | run.Color = Color.Red;
|
---|
| 107 | runs.Add(run);
|
---|
| 108 | }
|
---|
| 109 | if (string.IsNullOrEmpty(selectedXAxis))
|
---|
| 110 | selectedXAxis = "Index";
|
---|
| 111 | if (string.IsNullOrEmpty(selectedYAxis))
|
---|
| 112 | selectedYAxis = "Residual";
|
---|
| 113 |
|
---|
| 114 | bubbleChartView.Content = runs;
|
---|
| 115 | bubbleChartView.SelectedXAxis = selectedXAxis;
|
---|
| 116 | bubbleChartView.SelectedYAxis = selectedYAxis;
|
---|
| 117 | }
|
---|
| 118 |
|
---|
| 119 | private void AddErrors(IRun run, double pred, double target) {
|
---|
| 120 | var residual = target - pred;
|
---|
| 121 | var relError = residual / target;
|
---|
[14943] | 122 | run.Results.Add(PredictionLabel, new DoubleValue(pred));
|
---|
| 123 | run.Results.Add(ResidualLabel, new DoubleValue(residual));
|
---|
| 124 | run.Results.Add(AbsResidualLabel, new DoubleValue(Math.Abs(residual)));
|
---|
| 125 | run.Results.Add(RelativeErrorLabel, new DoubleValue(relError));
|
---|
| 126 | run.Results.Add(AbsRelativeErrorLabel, new DoubleValue(Math.Abs(relError)));
|
---|
[14889] | 127 | }
|
---|
| 128 |
|
---|
| 129 | private IRun CreateRunForIdx(int i, IRegressionProblemData problemData) {
|
---|
| 130 | var ds = problemData.Dataset;
|
---|
| 131 | var run = new Run();
|
---|
| 132 | foreach (var variableName in ds.DoubleVariables) {
|
---|
| 133 | run.Results.Add(variableName, new DoubleValue(ds.GetDoubleValue(variableName, i)));
|
---|
| 134 | }
|
---|
| 135 | foreach (var variableName in ds.StringVariables) {
|
---|
| 136 | run.Results.Add(variableName, new StringValue(ds.GetStringValue(variableName, i)));
|
---|
| 137 | }
|
---|
| 138 |
|
---|
| 139 | return run;
|
---|
| 140 | }
|
---|
| 141 | #endregion
|
---|
| 142 |
|
---|
| 143 | }
|
---|
| 144 | }
|
---|