source: trunk/sources/HeuristicLab.Problems.DataAnalysis.Views/3.4/Regression/RegressionSolutionEstimatedValuesView.cs @ 13439

Last change on this file since 13439 was 13439, checked in by gkronber, 6 years ago

#2542: added estimated values view specific for Gaussian processes that shows predicted variance

File size: 4.8 KB
Line 
1#region License Information
2/* HeuristicLab
3 * Copyright (C) 2002-2015 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
21using System;
22using System.Linq;
23using System.Windows.Forms;
24using HeuristicLab.Data;
25using HeuristicLab.Data.Views;
26using HeuristicLab.MainForm;
27
28namespace HeuristicLab.Problems.DataAnalysis.Views {
29  [View("Estimated Values")]
30  [Content(typeof(IRegressionSolution))]
31  public partial class RegressionSolutionEstimatedValuesView : DataAnalysisSolutionEvaluationView {
32    private const string TARGETVARIABLE_SERIES_NAME = "Target Variable";
33    private const string ESTIMATEDVALUES_SERIES_NAME = "Estimated Values (all)";
34    private const string ESTIMATEDVALUES_TRAINING_SERIES_NAME = "Estimated Values (training)";
35    private const string ESTIMATEDVALUES_TEST_SERIES_NAME = "Estimated Values (test)";
36
37    public new IRegressionSolution Content {
38      get { return (IRegressionSolution)base.Content; }
39      set {
40        base.Content = value;
41      }
42    }
43
44    protected StringConvertibleMatrixView matrixView;
45
46    public RegressionSolutionEstimatedValuesView()
47      : base() {
48      InitializeComponent();
49      matrixView = new StringConvertibleMatrixView();
50      matrixView.ShowRowsAndColumnsTextBox = false;
51      matrixView.ShowStatisticalInformation = false;
52      matrixView.Dock = DockStyle.Fill;
53      this.Controls.Add(matrixView);
54    }
55
56    #region events
57    protected override void RegisterContentEvents() {
58      base.RegisterContentEvents();
59      Content.ModelChanged += new EventHandler(Content_ModelChanged);
60      Content.ProblemDataChanged += new EventHandler(Content_ProblemDataChanged);
61    }
62
63    protected override void DeregisterContentEvents() {
64      base.DeregisterContentEvents();
65      Content.ModelChanged -= new EventHandler(Content_ModelChanged);
66      Content.ProblemDataChanged -= new EventHandler(Content_ProblemDataChanged);
67    }
68
69    private void Content_ProblemDataChanged(object sender, EventArgs e) {
70      OnContentChanged();
71    }
72
73    private void Content_ModelChanged(object sender, EventArgs e) {
74      OnContentChanged();
75    }
76
77    protected override void OnContentChanged() {
78      base.OnContentChanged();
79      UpdateEstimatedValues();
80    }
81
82    private void UpdateEstimatedValues() {
83      if (InvokeRequired) Invoke((Action)UpdateEstimatedValues);
84      else {
85        StringMatrix matrix = null;
86        if (Content != null) {
87          string[,] values = new string[Content.ProblemData.Dataset.Rows, 7];
88
89          double[] target = Content.ProblemData.Dataset.GetDoubleValues(Content.ProblemData.TargetVariable).ToArray();
90          var estimated = Content.EstimatedValues.GetEnumerator();
91          var estimated_training = Content.EstimatedTrainingValues.GetEnumerator();
92          var estimated_test = Content.EstimatedTestValues.GetEnumerator();
93
94          foreach (var row in Content.ProblemData.TrainingIndices) {
95            estimated_training.MoveNext();
96            values[row, 3] = estimated_training.Current.ToString();
97          }
98
99          foreach (var row in Content.ProblemData.TestIndices) {
100            estimated_test.MoveNext();
101            values[row, 4] = estimated_test.Current.ToString();
102          }
103
104          foreach (var row in Enumerable.Range(0, Content.ProblemData.Dataset.Rows)) {
105            estimated.MoveNext();
106            double est = estimated.Current;
107            double res = Math.Abs(est - target[row]);
108            values[row, 0] = row.ToString();
109            values[row, 1] = target[row].ToString();
110            values[row, 2] = est.ToString();
111            values[row, 5] = Math.Abs(res).ToString();
112            values[row, 6] = Math.Abs(res / target[row]).ToString();
113          }
114
115          matrix = new StringMatrix(values);
116          matrix.ColumnNames = new string[] { "Id", TARGETVARIABLE_SERIES_NAME, ESTIMATEDVALUES_SERIES_NAME, ESTIMATEDVALUES_TRAINING_SERIES_NAME, ESTIMATEDVALUES_TEST_SERIES_NAME, "Absolute Error (all)", "Relative Error (all)" };
117          matrix.SortableView = true;
118        }
119        matrixView.Content = matrix;
120      }
121    }
122    #endregion
123  }
124}
Note: See TracBrowser for help on using the repository browser.