source: branches/2971_named_intervals/HeuristicLab.Problems.DataAnalysis.Views/3.4/Classification/ClassificationSolutionEstimatedClassValuesView.cs @ 16638

Last change on this file since 16638 was 16638, checked in by gkronber, 7 months ago

#2971: merged r16527:16625 from trunk/HeuristicLab.Problems.DataAnalysis.Views to branch/HeuristicLab.Problems.DataAnalysis.Views

File size: 4.7 KB
Line 
1#region License Information
2/* HeuristicLab
3 * Copyright (C) 2002-2019 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;
27using HeuristicLab.MainForm.WindowsForms;
28
29namespace HeuristicLab.Problems.DataAnalysis.Views {
30  [View("Estimated Class Values")]
31  [Content(typeof(IClassificationSolution))]
32  public partial class ClassificationSolutionEstimatedClassValuesView : DataAnalysisSolutionEvaluationView {
33    private const string TARGETVARIABLE_SERIES_NAME = "Target Variable";
34    private const string ESTIMATEDVALUES_SERIES_NAME = "Estimated Class Values (all)";
35    private const string ESTIMATEDVALUES_TRAINING_SERIES_NAME = "Estimated Class Values (training)";
36    private const string ESTIMATEDVALUES_TEST_SERIES_NAME = "Estimated Class Values (test)";
37
38    public new IClassificationSolution Content {
39      get { return (IClassificationSolution)base.Content; }
40      set { base.Content = value; }
41    }
42
43    protected StringConvertibleMatrixView matrixView;
44
45    public ClassificationSolutionEstimatedClassValuesView()
46      : base() {
47      InitializeComponent();
48      matrixView = new StringConvertibleMatrixView();
49      matrixView.ShowRowsAndColumnsTextBox = false;
50      matrixView.ShowStatisticalInformation = false;
51      matrixView.Dock = DockStyle.Fill;
52      this.Controls.Add(matrixView);
53    }
54
55    #region events
56    protected override void RegisterContentEvents() {
57      base.RegisterContentEvents();
58      Content.ModelChanged += new EventHandler(Content_ModelChanged);
59      Content.ProblemDataChanged += new EventHandler(Content_ProblemDataChanged);
60    }
61
62    protected override void DeregisterContentEvents() {
63      base.DeregisterContentEvents();
64      Content.ModelChanged -= new EventHandler(Content_ModelChanged);
65      Content.ProblemDataChanged -= new EventHandler(Content_ProblemDataChanged);
66    }
67
68    private void Content_ProblemDataChanged(object sender, EventArgs e) {
69      OnContentChanged();
70    }
71
72    private void Content_ModelChanged(object sender, EventArgs e) {
73      OnContentChanged();
74    }
75
76    protected override void OnContentChanged() {
77      base.OnContentChanged();
78      UpdateEstimatedValues();
79    }
80
81    protected virtual void UpdateEstimatedValues() {
82      if (InvokeRequired) Invoke((Action)UpdateEstimatedValues);
83      else {
84        StringMatrix matrix = null;
85        if (Content != null) {
86          string[,] values = new string[Content.ProblemData.Dataset.Rows, 5];
87
88          double[] target = Content.ProblemData.Dataset.GetDoubleValues(Content.ProblemData.TargetVariable).ToArray();
89          double[] estimated = Content.EstimatedClassValues.ToArray();
90          for (int row = 0; row < target.Length; row++) {
91            values[row, 0] = row.ToString();
92            values[row, 1] = target[row].ToString();
93            values[row, 2] = estimated[row].ToString();
94          }
95
96          var estimatedTraining = Content.EstimatedTrainingClassValues.GetEnumerator();
97          estimatedTraining.MoveNext();
98          foreach (var trainingRow in Content.ProblemData.TrainingIndices) {
99            values[trainingRow, 3] = estimatedTraining.Current.ToString();
100            estimatedTraining.MoveNext();
101          }
102          var estimatedTest = Content.EstimatedTestClassValues.GetEnumerator();
103          estimatedTest.MoveNext();
104          foreach (var testRow in Content.ProblemData.TestIndices) {
105            values[testRow, 4] = estimatedTest.Current.ToString();
106            estimatedTest.MoveNext();
107          }
108
109          matrix = new StringMatrix(values);
110          matrix.ColumnNames = new string[] { "Id", TARGETVARIABLE_SERIES_NAME, ESTIMATEDVALUES_SERIES_NAME, ESTIMATEDVALUES_TRAINING_SERIES_NAME, ESTIMATEDVALUES_TEST_SERIES_NAME };
111          matrix.SortableView = true;
112        }
113        matrixView.Content = matrix;
114      }
115    }
116    #endregion
117  }
118}
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