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source: branches/RegressionBenchmarks/HeuristicLab.Problems.DataAnalysis.Benchmarks/3.4/RegressionBenchmarks/SalustowiczFunctionOneDimensional.cs @ 6991

Last change on this file since 6991 was 6991, checked in by sforsten, 12 years ago

#1669: First version with a simpler design as discussed with Michael Kommenda has been implemented and will be tested soon. Currently only the KotanchekFunction.cs is changed accordingly. Other benchmarks are going to follow soon.

The classes for the different distributions are not needed any longer. Static methods in RegressionBenchmark replace them.

File size: 2.1 KB
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1#region License Information
2/* HeuristicLab
3 * Copyright (C) 2002-2011 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;
24using System.Linq;
25using HeuristicLab.Common;
26using HeuristicLab.Core;
27
28namespace HeuristicLab.Problems.DataAnalysis.Benchmarks {
29  [Item("Salustowicz function (1d)", "")]
30  public class SalustowiczFunctionOneDimensional : RegressionBenchmark {
31
32    public SalustowiczFunctionOneDimensional() {
33      Name = "Salustowicz function (1d)";
34      //TargetVariable = "y";
35      //Inputvariables = new Dictionary<string, IntRange>() {
36      //  {"x", new IntRange(0, 10)}
37      //};
38      //AmountOfPoints = 4000;
39      //TrainingPartition = new IntRange(0, 2667);
40      //TestPartition = new IntRange(TrainingPartition.End, AmountOfPoints);
41    }
42
43    #region cloning
44    protected SalustowiczFunctionOneDimensional(SalustowiczFunctionOneDimensional original, Cloner cloner)
45      : base(original, cloner) {
46    }
47
48    public override IDeepCloneable Clone(Cloner cloner) {
49      return new SalustowiczFunctionOneDimensional(this, cloner);
50    }
51    #endregion
52
53    protected override double CalculateFunction(Dictionary<string, IList<double>> data, List<string> vars) {
54      double x = data[vars.ElementAt(0)].Last();
55      return Math.Exp(-x) * Math.Pow(x, 3) * Math.Sin(x) * Math.Cos(x) * (Math.Pow(Math.Sin(x), 2) * Math.Cos(x) - 1);
56    }
57  }
58}
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