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source: trunk/sources/HeuristicLab.Problems.DataAnalysis.Views/3.4/Classification/DiscriminantFunctionClassificationSolutionEstimatedClassValuesView.cs @ 6149

Last change on this file since 6149 was 5975, checked in by mkommend, 14 years ago

#1313: Updated view names to use spaces instead of !camelCasing.

File size: 4.1 KB
Line 
1#region License Information
2/* HeuristicLab
3 * Copyright (C) 2002-2011 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.Core.Views;
25using HeuristicLab.Data;
26using HeuristicLab.Data.Views;
27using HeuristicLab.MainForm;
28using HeuristicLab.MainForm.WindowsForms;
29
30namespace HeuristicLab.Problems.DataAnalysis.Views {
31  [View("Estimated Class Values")]
32  [Content(typeof(IDiscriminantFunctionClassificationSolution))]
33  public partial class DiscriminantFunctionClassificationSolutionEstimatedClassValuesView : ItemView, IDiscriminantFunctionClassificationSolutionEvaluationView {
34    private const string TargetClassValuesSeriesname = "TargetVariable";
35    private const string EstimatedClassValuesSeriesName = "EstimatedClassValues";
36    private const string EstimatedValuesSeriesName = "EstimatedValues";
37
38    public new IDiscriminantFunctionClassificationSolution Content {
39      get { return (IDiscriminantFunctionClassificationSolution)base.Content; }
40      set {
41        base.Content = value;
42      }
43    }
44
45    private StringConvertibleMatrixView matrixView;
46
47    public DiscriminantFunctionClassificationSolutionEstimatedClassValuesView()
48      : base() {
49      InitializeComponent();
50      matrixView = new StringConvertibleMatrixView();
51      matrixView.ShowRowsAndColumnsTextBox = false;
52      matrixView.ShowStatisticalInformation = false;
53      matrixView.Dock = DockStyle.Fill;
54      this.Controls.Add(matrixView);
55    }
56
57    #region events
58    protected override void RegisterContentEvents() {
59      base.RegisterContentEvents();
60      Content.ModelChanged += new EventHandler(Content_ModelChanged);
61      Content.ProblemDataChanged += new EventHandler(Content_ProblemDataChanged);
62    }
63
64    protected override void DeregisterContentEvents() {
65      base.DeregisterContentEvents();
66      Content.ModelChanged -= new EventHandler(Content_ModelChanged);
67      Content.ProblemDataChanged -= new EventHandler(Content_ProblemDataChanged);
68    }
69
70    private void Content_ProblemDataChanged(object sender, EventArgs e) {
71      OnContentChanged();
72    }
73
74    private void Content_ModelChanged(object sender, EventArgs e) {
75      OnContentChanged();
76    }
77
78    protected override void OnContentChanged() {
79      base.OnContentChanged();
80      UpdateEstimatedValues();
81    }
82
83    private void UpdateEstimatedValues() {
84      if (InvokeRequired) Invoke((Action)UpdateEstimatedValues);
85      else {
86        DoubleMatrix matrix = null;
87        if (Content != null) {
88          double[,] values = new double[Content.ProblemData.Dataset.Rows, 3];
89
90          double[] target = Content.ProblemData.Dataset.GetVariableValues(Content.ProblemData.TargetVariable);
91          double[] estimatedClassValues = Content.EstimatedClassValues.ToArray();
92          double[] estimatedValues = Content.EstimatedValues.ToArray();
93          for (int row = 0; row < target.Length; row++) {
94            values[row, 0] = target[row];
95            values[row, 1] = estimatedClassValues[row];
96            values[row, 2] = estimatedValues[row];
97          }
98
99          matrix = new DoubleMatrix(values);
100          matrix.ColumnNames = new string[] { TargetClassValuesSeriesname, EstimatedClassValuesSeriesName, EstimatedValuesSeriesName };
101        }
102        matrixView.Content = matrix;
103      }
104    }
105    #endregion
106  }
107}
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