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source: branches/ProblemInstancesRegressionAndClassification/HeuristicLab.Problems.Instances.Regression/3.4/TrentMcConaghy/TrentMcConaghyInstanceProvider.cs @ 7758

Last change on this file since 7758 was 7758, checked in by sforsten, 13 years ago

#1784:

  • deleted not needed Consumer in ProblemInstanceProvider and IProblemInstanceProvider
  • changed protection level of exporter and consumer in ProblemInstanceProviderViewGeneric
  • renamed property FileExtension to FileName in ResourceClassificationInstanceProvider and ResourceRegressionInstanceProvider
  • deleted ImportProblemDataFromFile method from IDataAnalysisProblem and all classes and interfaces, which implement this method
  • removed unnecessary yield return in GetDoubleValues in the Dataset. Now it's a normal return statement
File size: 2.1 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.Linq;
24
25namespace HeuristicLab.Problems.Instances.Regression {
26  public class TrentMcConaghyInstanceProvider : ResourceRegressionInstanceProvider {
27    public override string Name {
28      get { return "Trent McConaghy Benchmark Problems"; }
29    }
30    public override string Description {
31      get {
32        return "Paper: Deterministic Symbolic Regression Technology, Genetic Programming Theory and Practice IX" + Environment.NewLine
33          + "High-Dimensional Statistical Modeling and Analysis of Custom Integrated Circuits" + Environment.NewLine
34          + "Authors: T. McConaghy" + Environment.NewLine
35          + "Website: http://trent.st/ffx/";
36      }
37    }
38    public override Uri WebLink {
39      get { return new Uri("http://trent.st/ffx/"); }
40    }
41    public override string ReferencePublication {
42      get { return ""; }
43    }
44
45    protected override string FileName { get { return "TrentMcConaghy"; } }
46
47    public override RegressionData LoadData(IDataDescriptor id) {
48      RegressionData regData = base.LoadData(id);
49
50      regData.TargetVariable = regData.InputVariables.First();
51      regData.AllowedInputVariables = regData.InputVariables.Where(x => !x.Equals(regData.TargetVariable)).ToArray();
52
53      return regData;
54    }
55  }
56}
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