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source: trunk/sources/HeuristicLab.Algorithms.DataAnalysis/3.4/Nca/NcaClassificationSolution.cs @ 13941

Last change on this file since 13941 was 13941, checked in by mkommend, 8 years ago

#2604:

  • Base classes for data analysis, classification, and regression models
  • Added target variable to classification and regression models
  • Switched parameter order in data analysis solutions (model, problemdata)
File size: 1.8 KB
Line 
1#region License Information
2/* HeuristicLab
3 * Copyright (C) 2002-2015 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;
25using HeuristicLab.Problems.DataAnalysis;
26
27namespace HeuristicLab.Algorithms.DataAnalysis {
28  [Item("NCA Classification Solution", "")]
29  [StorableClass]
30  public class NcaClassificationSolution : ClassificationSolution, INcaClassificationSolution {
31
32    public new INcaModel Model {
33      get { return (INcaModel)base.Model; }
34      set { base.Model = value; }
35    }
36
37    [StorableConstructor]
38    protected NcaClassificationSolution(bool deserializing) : base(deserializing) { }
39    protected NcaClassificationSolution(NcaClassificationSolution original, Cloner cloner)
40      : base(original, cloner) {
41    }
42    public NcaClassificationSolution(INcaModel ncaModel, IClassificationProblemData problemData)
43      : base(ncaModel, problemData) {
44    }
45
46    public override IDeepCloneable Clone(Cloner cloner) {
47      return new NcaClassificationSolution(this, cloner);
48    }
49  }
50}
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