source: branches/2521_ProblemRefactoring/HeuristicLab.Problems.DataAnalysis/3.4/Implementation/Classification/ClassificationProblem.cs @ 17518

Last change on this file since 17518 was 17518, checked in by mkommend, 4 months ago

#2521: Added ctor in implementations of data analysis problems and sealed the basic versions.

File size: 1.7 KB
Line 
1#region License Information
2/* HeuristicLab
3 * Copyright (C) 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 HEAL.Attic;
23using HeuristicLab.Common;
24using HeuristicLab.Core;
25
26namespace HeuristicLab.Problems.DataAnalysis {
27  [StorableType("93696570-A410-4885-A210-7220771B6050")]
28  [Item("Classification Problem", "A general classification problem.")]
29  public sealed class ClassificationProblem : DataAnalysisProblem<IClassificationProblemData>, IClassificationProblem, IStorableContent {
30    [StorableConstructor]
31    private ClassificationProblem(StorableConstructorFlag _) : base(_) { }
32    private ClassificationProblem(ClassificationProblem original, Cloner cloner) : base(original, cloner) { }
33    public override IDeepCloneable Clone(Cloner cloner) { return new ClassificationProblem(this, cloner); }
34
35    public ClassificationProblem() : base(new ClassificationProblemData()) { }
36    public ClassificationProblem(IClassificationProblemData problemData) : base(problemData) { }
37
38  }
39}
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