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source: branches/ClassificationEnsembleVoting/HeuristicLab.Problems.DataAnalysis.Views/3.4/Solution Views/ClassificationEnsembleSolutionView.cs @ 8297

Last change on this file since 8297 was 8297, checked in by sforsten, 12 years ago

#1776:

  • Corrected namespace of IClassificationEnsembleSolutionWeightCalculator interface
  • Corrected calculation of confidence for test and training samples in ClassificationEnsembleSolutionEstimatedClassValuesView
  • Added overload method GetConfidence to IClassificationEnsembleSolutionWeightCalculator to calculate more than one point at a time (maybe additional methods for training and test confidence could improve the performance remarkably)
  • Added ClassificationEnsembleSolutionConfidenceAccuracyDependence to see how accuracy would behave, if only samples with high confidence would be classified
File size: 3.6 KB
Line 
1#region License Information
2/* HeuristicLab
3 * Copyright (C) 2002-2012 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.Linq;
23using System.Windows.Forms;
24using HeuristicLab.Common;
25using HeuristicLab.Core;
26using HeuristicLab.MainForm;
27using HeuristicLab.PluginInfrastructure;
28using HeuristicLab.Problems.DataAnalysis.Interfaces;
29
30namespace HeuristicLab.Problems.DataAnalysis.Views {
31  [View("ClassificationEnsembleSolution View")]
32  [Content(typeof(ClassificationEnsembleSolution), false)]
33  public partial class ClassificationEnsembleSolutionView : ClassificationSolutionView {
34    public ClassificationEnsembleSolutionView() {
35      InitializeComponent();
36    }
37
38    public new ClassificationEnsembleSolution Content {
39      get { return (ClassificationEnsembleSolution)base.Content; }
40      set { base.Content = value; }
41    }
42
43    protected override void SetEnabledStateOfControls() {
44      base.SetEnabledStateOfControls();
45      cmbWeightCalculator.Enabled = !Locked && !ReadOnly && Content != null;
46    }
47
48    protected override void OnContentChanged() {
49      base.OnContentChanged();
50      itemsListView.Items.Remove(itemsListView.FindItemWithText("Model: ClassificationEnsembleModel"));
51      if (cmbWeightCalculator.Items.Count == 0) {
52        cmbWeightCalculator.Items.AddRange(ApplicationManager.Manager.GetInstances<IClassificationEnsembleSolutionWeightCalculator>().OrderBy(b => b.Name, new NaturalStringComparer()).ToArray());
53        if (cmbWeightCalculator.Items.Count > 0) {
54          cmbWeightCalculator.SelectedIndex = 0;
55        }
56      } else {
57        Content.WeightCalculator = (IClassificationEnsembleSolutionWeightCalculator)cmbWeightCalculator.SelectedItem;
58      }
59    }
60
61    protected void cmbWeightCalculator_SelectedIndexChanged(object sender, System.EventArgs e) {
62      if (cmbWeightCalculator.SelectedItem != null) {
63        Content.WeightCalculator = (IClassificationEnsembleSolutionWeightCalculator)cmbWeightCalculator.SelectedItem;
64      }
65    }
66
67    #region drag & drop
68    protected override void itemsListView_DragDrop(object sender, DragEventArgs e) {
69      if (e.Effect != DragDropEffects.None) {
70        var droppedData = e.Data.GetData(HeuristicLab.Common.Constants.DragDropDataFormat);
71        if (droppedData is IValueParameter) droppedData = ((IValueParameter)droppedData).Value;
72
73        ClassificationEnsembleProblemData ensembleProblemData = droppedData as ClassificationEnsembleProblemData;
74        ClassificationProblemData problemData = droppedData as ClassificationProblemData;
75        if (ensembleProblemData != null) {
76          Content.ProblemData = (ClassificationEnsembleProblemData)ensembleProblemData.Clone();
77        } else if (problemData != null) {
78          Content.ProblemData = new ClassificationEnsembleProblemData((IClassificationProblemData)problemData.Clone());
79        }
80      }
81    }
82    #endregion
83  }
84}
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