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source: trunk/sources/HeuristicLab.GP.StructureIdentification.Classification/3.3/StandardGPClassification.cs @ 3580

Last change on this file since 3580 was 2361, checked in by gkronber, 15 years ago

Fixed #742 (Consistent naming scheme for data-modeling engines).

File size: 1.9 KB
RevLine 
[1050]1#region License Information
2/* HeuristicLab
3 * Copyright (C) 2002-2008 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.Core;
[2222]23using HeuristicLab.Modeling;
[1287]24using HeuristicLab.Operators;
[2341]25using System;
[1050]26
[1245]27namespace HeuristicLab.GP.StructureIdentification.Classification {
[2361]28  public class StandardGPClassification : HeuristicLab.GP.StructureIdentification.StandardGPRegression, IClassificationAlgorithm {
[2356]29    public override string Name {
30      get {
31        return base.Name + " - Classification";
32      }
33    }
34
[2344]35    protected override IOperator CreateProblemInjector() {
[2356]36      return DefaultClassificationOperators.CreateProblemInjector();
[2344]37    }
[2356]38
39    protected override IOperator CreateModelAnalyzerOperator() {
40      return DefaultClassificationOperators.CreatePostProcessingOperator();
[1287]41    }
[2344]42
43    protected override IAnalyzerModel CreateGPModel() {
[2356]44      var model = new AnalyzerModel();
45      var bestModelScope = Engine.GlobalScope.SubScopes[0];
46      DefaultStructureIdentificationOperators.PopulateAnalyzerModel(bestModelScope, model);
47      DefaultClassificationOperators.PopulateAnalyzerModel(bestModelScope, model);
[2344]48      return model;
49    }
[1050]50  }
51}
[2319]52
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