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source: branches/HeuristicLab.Problems.GaussianProcessTuning/HeuristicLab.Problems.Instances.DataAnalysis.GaussianProcessRegression/VariousInstanceProvider.cs @ 8826

Last change on this file since 8826 was 8826, checked in by gkronber, 10 years ago

#1967: added benchmark instances for GPR tuning

File size: 2.0 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 System;
23using System.Collections.Generic;
24
25namespace HeuristicLab.Problems.Instances.DataAnalysis {
26  public class VariousInstanceProvider : ArtificialRegressionInstanceProvider {
27    public override string Name {
28      get { return "Various Benchmark Problems"; }
29    }
30    public override string Description {
31      get { return ""; }
32    }
33    public override Uri WebLink {
34      get { return new Uri("http://dev.heuristiclab.com/trac/hl/core/wiki/AdditionalMaterial"); }
35    }
36    public override string ReferencePublication {
37      get { return ""; }
38    }
39
40    public override IEnumerable<IDataDescriptor> GetDataDescriptors() {
41      List<IDataDescriptor> descriptorList = new List<IDataDescriptor>();
42      descriptorList.Add(new BreimanOne());
43      descriptorList.Add(new FriedmanOne());
44      descriptorList.Add(new FriedmanTwo());
45      descriptorList.Add(new PolyTen());
46      descriptorList.Add(new GaussianProcessPolyTen());
47      descriptorList.Add(new GaussianProcessSEIso());
48      descriptorList.Add(new GaussianProcessSEIsoDependentNoise());
49      descriptorList.Add(new SpatialCoevolution());
50      return descriptorList;
51    }
52  }
53}
54
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