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source: trunk/sources/HeuristicLab.Problems.DataAnalysis.Views/3.4/Classification/DiscriminantFunctionClassificationSolutionEstimatedClassValuesView.cs @ 6642

Last change on this file since 6642 was 6642, checked in by mkommend, 13 years ago

#1612: Implemented RegressionSolutionErrorCharacteristicsView and adapted loading of DataAnalysisSolutionEvaluationViews.

File size: 3.0 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.Data;
25using HeuristicLab.MainForm;
26using HeuristicLab.MainForm.WindowsForms;
27
28namespace HeuristicLab.Problems.DataAnalysis.Views {
29  [View("Estimated Class Values")]
30  [Content(typeof(IDiscriminantFunctionClassificationSolution))]
31  public partial class DiscriminantFunctionClassificationSolutionEstimatedClassValuesView : ClassificationSolutionEstimatedClassValuesView {
32    private const string TargetClassValuesSeriesname = "TargetVariable";
33    private const string EstimatedClassValuesSeriesName = "EstimatedClassValues";
34    private const string EstimatedValuesSeriesName = "EstimatedValues";
35
36    public new IDiscriminantFunctionClassificationSolution Content {
37      get { return (IDiscriminantFunctionClassificationSolution)base.Content; }
38      set { base.Content = value; }
39    }
40
41    public DiscriminantFunctionClassificationSolutionEstimatedClassValuesView()
42      : base() {
43      InitializeComponent();
44    }
45
46    protected override void UpdateEstimatedValues() {
47      if (InvokeRequired) Invoke((Action)UpdateEstimatedValues);
48      else {
49        StringMatrix matrix = null;
50        if (Content != null) {
51          string[,] values = new string[Content.ProblemData.Dataset.Rows, 4];
52
53          double[] target = Content.ProblemData.Dataset.GetVariableValues(Content.ProblemData.TargetVariable);
54          double[] estimatedClassValues = Content.EstimatedClassValues.ToArray();
55          double[] estimatedValues = Content.EstimatedValues.ToArray();
56          for (int row = 0; row < target.Length; row++) {
57            values[row, 0] = row.ToString();
58            values[row, 1] = target[row].ToString();
59            values[row, 2] = estimatedClassValues[row].ToString();
60            values[row, 3] = estimatedValues[row].ToString();
61          }
62
63          matrix = new StringMatrix(values);
64          matrix.ColumnNames = new string[] { "Id", TargetClassValuesSeriesname, EstimatedClassValuesSeriesName, EstimatedValuesSeriesName };
65          matrix.SortableView = true;
66        }
67        matrixView.Content = matrix;
68      }
69    }
70  }
71}
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