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# source:trunk/sources/HeuristicLab.Problems.Instances.DataAnalysis/3.3/Regression/Keijzer/KeijzerFunctionEleven.cs@8238

Last change on this file since 8238 was 8238, checked in by gkronber, 11 years ago

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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
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;
24using System.Linq;
25
26namespace HeuristicLab.Problems.Instances.DataAnalysis {
27  public class KeijzerFunctionEleven : ArtificialRegressionDataDescriptor {
28
29    public override string Name { get { return "Keijzer 11 f(x, y) = xy + sin((x - 1)(y - 1))"; } }
30    public override string Description {
31      get {
32        return
33          "Paper: Improving Symbolic Regression with Interval Arithmetic and Linear Scaling" + Environment.NewLine
34          + "Authors: Maarten Keijzer" + Environment.NewLine
35          + "Function: f(x, y) = xy + sin((x - 1)(y - 1))" + Environment.NewLine
36          + "range(train): 20 Training cases x,y = rnd(-3, 3)" + Environment.NewLine
37          + "range(test): x,y = [-3:0.01:3]" + Environment.NewLine
38          + "Function Set: x + y, x * y, 1/x, -x, sqrt(x)" + Environment.NewLine + Environment.NewLine
39          + "Note: Test partition has been adjusted to only 100 random uniformly distributed test cases in the interval [-3, 3] (not ca. 360000 as described) "
40          + ", but 5000 cases are created";
41      }
42    }
43    protected override string TargetVariable { get { return "F"; } }
44    protected override string[] InputVariables { get { return new string[] { "X", "Y", "F" }; } }
45    protected override string[] AllowedInputVariables { get { return new string[] { "X", "Y" }; } }
46    protected override int TrainingPartitionStart { get { return 0; } }
47    protected override int TrainingPartitionEnd { get { return 20; } }
48    protected override int TestPartitionStart { get { return 2500; } }
49    protected override int TestPartitionEnd { get { return 2600; } }
50
51    protected override List<List<double>> GenerateValues() {
52      List<List<double>> data = new List<List<double>>();
53      for (int i = 0; i < AllowedInputVariables.Count(); i++) {
55      }
56
57      double x, y;
58      List<double> results = new List<double>();
59      for (int i = 0; i < data[0].Count; i++) {
60        x = data[0][i];
61        y = data[1][i];
62        results.Add(x * y + Math.Sin((x - 1) * (y - 1)));
63      }