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source: branches/DataAnalysis Refactoring/HeuristicLab.Problems.DataAnalysis/3.4/RegressionProblem.cs @ 5681

Last change on this file since 5681 was 5649, checked in by gkronber, 14 years ago

#1418 Implemented classes for classification based on a discriminant function and thresholds and implemented interfaces and base classes for clustering.

File size: 1.8 KB
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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
21
22using HeuristicLab.Common;
23using HeuristicLab.Core;
24using HeuristicLab.Persistence.Default.CompositeSerializers.Storable;
25
26namespace HeuristicLab.Problems.DataAnalysis {
27  [StorableClass]
28  [Item("RegressionProblem", "A general regression problem")]
29  [Creatable("Problems")]
30  public class RegressionProblem : DataAnalysisProblem<IRegressionProblemData>, IRegressionProblem {
31    [StorableConstructor]
32    public RegressionProblem(bool deserializing) : base(deserializing) { }
33    public RegressionProblem(RegressionProblem original, Cloner cloner) : base(original, cloner) { }
34    public override IDeepCloneable Clone(Cloner cloner) { return new RegressionProblem(this, cloner); }
35
36    public RegressionProblem()
37      : base() {
38      ProblemData = new RegressionProblemData();
39    }
40
41    public override void ImportProblemDataFromFile(string fileName) {
42      RegressionProblemData problemData = RegressionProblemData.ImportFromFile(fileName);
43      ProblemData = problemData;
44    }
45  }
46}
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