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source: branches/ProblemInstancesRegressionAndClassification/HeuristicLab.Problems.Instances.Regression/3.4/Keijzer/KeijzerFunctionFour.cs @ 7664

Last change on this file since 7664 was 7664, checked in by sforsten, 12 years ago

#1784:

  • added Keijzer, Korns, Vladislavleva und Nguyen regression problem instances
  • changes have been made in the ProblemView. Some parts have been replaced with views from Problems.Instances.Views
File size: 2.7 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.Regression {
26  public class KeijzerFunctionFour : ArtificialRegressionDataDescriptor {
27
28    public override string Name { get { return "Keijzer 4 f(x) = 0.3 * x *sin(2 * PI * x)"; } }
29    public override string Description {
30      get {
31        return "Paper: Improving Symbolic Regression with Interval Arithmetic and Linear Scaling" + Environment.NewLine
32        + "Authors: Maarten Keijzer" + Environment.NewLine
33        + "Function: f(x) = 0.3 * x *sin(2 * PI * x)" + Environment.NewLine
34        + "range(train): x = [-1:0.1:1]" + Environment.NewLine
35        + "range(test): x = [-1:0.001:1]" + Environment.NewLine
36        + "Function Set: x + y, x * y, 1/x, -x, sqrt(x)";
37      }
38    }
39    protected override string TargetVariable { get { return "F"; } }
40    protected override IEnumerable<string> InputVariables { get { return new List<string>() { "X", "F" }; } }
41    protected override IEnumerable<string> AllowedInputVariables { get { return new List<string>() { "X" }; } }
42    protected override int TrainingPartitionStart { get { return 0; } }
43    protected override int TrainingPartitionEnd { get { return 21; } }
44    protected override int TestPartitionStart { get { return 21; } }
45    protected override int TestPartitionEnd { get { return 2022; } }
46
47    protected override double[,] GenerateValues() {
48      List<List<double>> data = new List<List<double>>();
49      data.Add(ValueGenerator.GenerateSteps(-1, 1, 0.1));
50      data[0].AddRange(ValueGenerator.GenerateSteps(-1, 1, 0.001));
51
52      double x;
53      List<double> results = new List<double>();
54      for (int i = 0; i < data[0].Count; i++) {
55        x = data[0][i];
56        results.Add(0.3 * x * Math.Sin(2 * Math.PI * x));
57      }
58      data.Add(results);
59
60      return ValueGenerator.Transformation(data);
61    }
62  }
63}
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