source: stable/HeuristicLab.Problems.DataAnalysis.Views/3.4/Regression/RegressionSolutionResidualsLineChartView.cs @ 15584

Last change on this file since 15584 was 15584, checked in by swagner, 2 years ago

#2640: Updated year of copyrights in license headers on stable

File size: 3.7 KB
Line 
1#region License Information
2/* HeuristicLab
3 * Copyright (C) 2002-2018 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
22using System;
23using System.Linq;
24using System.Windows.Forms.DataVisualization.Charting;
25using HeuristicLab.MainForm;
26
27namespace HeuristicLab.Problems.DataAnalysis.Views {
28  [View("Residuals Line Chart")]
29  [Content(typeof(IRegressionSolution))]
30  public partial class RegressionSolutionResidualsLineChartView : RegressionSolutionLineChartViewBase, IDataAnalysisSolutionEvaluationView {
31
32    public RegressionSolutionResidualsLineChartView() : base() {
33      InitializeComponent();
34    }
35
36    protected void CalcResiduals(int[] idx, double[] x) {
37      var problemData = Content.ProblemData;
38      var target = problemData.Dataset.GetDoubleValues(problemData.TargetVariable, idx).ToArray();
39      for (int i = 0; i < idx.Length; i++) {
40        x[i] = target[i] - x[i];
41      }
42    }
43
44    protected override void GetTrainingSeries(out int[] idx, out double[] y) {
45      idx = Content.ProblemData.TrainingIndices.ToArray();
46      y = Content.EstimatedTrainingValues.ToArray();
47      CalcResiduals(idx, y);
48    }
49
50    protected override void GetTestSeries(out int[] idx, out double[] y) {
51      idx = Content.ProblemData.TestIndices.ToArray();
52      y = Content.EstimatedTestValues.ToArray();
53      CalcResiduals(idx, y);
54    }
55
56    protected override void GetAllValuesSeries(out int[] idx, out double[] y) {
57      idx = Content.ProblemData.AllIndices.ToArray();
58      y = Content.EstimatedValues.ToArray();
59      CalcResiduals(idx, y);
60    }
61
62    protected override void RedrawChart() {
63      base.RedrawChart();
64      UpdateSeriesStyle();
65    }
66
67    private void UpdateSeriesStyle() {
68      if (Content == null) return;
69
70      if (InvokeRequired) {
71        Invoke((Action)UpdateSeriesStyle);
72        return;
73      }
74
75      double[] res;
76      int[] idx;
77      GetTrainingSeries(out idx, out res);
78      chart.Series[ESTIMATEDVALUES_TRAINING_SERIES_NAME].YAxisType = AxisType.Secondary;
79      chart.Series[ESTIMATEDVALUES_TRAINING_SERIES_NAME].ChartType = SeriesChartType.RangeColumn;
80      chart.Series[ESTIMATEDVALUES_TRAINING_SERIES_NAME].Points.DataBindXY(idx, res.Select(_ => 0.0).ToArray(), res);
81
82      GetTestSeries(out idx, out res);
83      chart.Series[ESTIMATEDVALUES_TEST_SERIES_NAME].YAxisType = AxisType.Secondary;
84      chart.Series[ESTIMATEDVALUES_TEST_SERIES_NAME].ChartType = SeriesChartType.RangeColumn;
85      chart.Series[ESTIMATEDVALUES_TEST_SERIES_NAME].Points.DataBindXY(idx, res.Select(_ => 0.0).ToArray(), res);
86
87      GetAllValuesSeries(out idx, out res);
88      chart.Series[ESTIMATEDVALUES_ALL_SERIES_NAME].YAxisType = AxisType.Secondary;
89      chart.Series[ESTIMATEDVALUES_ALL_SERIES_NAME].ChartType = SeriesChartType.RangeColumn;
90      chart.Series[ESTIMATEDVALUES_ALL_SERIES_NAME].Points.DataBindXY(idx, res.Select(_ => 0.0).ToArray(), res);
91      ToggleSeriesData(chart.Series[ESTIMATEDVALUES_ALL_SERIES_NAME]); // don't show by default
92    }
93
94  }
95}
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