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source: branches/ClassificationModelComparison/HeuristicLab.Problems.DataAnalysis/3.4/Implementation/Classification/ConstantClassificationSolution.cs @ 9119

Last change on this file since 9119 was 9119, checked in by sforsten, 11 years ago

#1998:

  • added OneRClassificationModelView
  • added ClassificationSolutionComparisonView
  • added several calculators (ConfusionMatrixCalculator, FOneScoreCalculator, MatthewsCorrelationCoefficientCalculator)
  • fixed bug in OneR
  • added StorableClass and Item attribute to several classes
File size: 1.9 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 HeuristicLab.Common;
23using HeuristicLab.Core;
24using HeuristicLab.Persistence.Default.CompositeSerializers.Storable;
25
26namespace HeuristicLab.Problems.DataAnalysis {
27  [StorableClass]
28  [Item(Name = "Constant Classification Solution", Description = "Represents a constant classification solution (model + data).")]
29  public class ConstantClassificationSolution : ClassificationSolution {
30    public new ConstantClassificationModel Model {
31      get { return (ConstantClassificationModel)base.Model; }
32      set { base.Model = value; }
33    }
34
35    [StorableConstructor]
36    protected ConstantClassificationSolution(bool deserializing) : base(deserializing) { }
37    protected ConstantClassificationSolution(ConstantClassificationSolution original, Cloner cloner) : base(original, cloner) { }
38    public ConstantClassificationSolution(ConstantClassificationModel model, IClassificationProblemData problemData)
39      : base(model, problemData) {
40      RecalculateResults();
41    }
42
43    public override IDeepCloneable Clone(Cloner cloner) {
44      return new ConstantClassificationSolution(this, cloner);
45    }
46  }
47}
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