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source: branches/3107_LearningALPS/HeuristicLab.Problems.Instances.DataAnalysis/3.3/Regression/Various/VariousInstanceProvider.cs @ 17852

Last change on this file since 17852 was 17180, checked in by swagner, 5 years ago

#2875: Removed years in copyrights

File size: 2.1 KB
Line 
1#region License Information
2/* HeuristicLab
3 * Copyright (C) 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 HeuristicLab.Random;
25
26namespace HeuristicLab.Problems.Instances.DataAnalysis {
27  public class VariousInstanceProvider : ArtificialRegressionInstanceProvider {
28    public override string Name {
29      get { return "Various Benchmark Problems"; }
30    }
31    public override string Description {
32      get { return ""; }
33    }
34    public override Uri WebLink {
35      get { return new Uri("http://dev.heuristiclab.com/trac/hl/core/wiki/AdditionalMaterial"); }
36    }
37    public override string ReferencePublication {
38      get { return ""; }
39    }
40    public int Seed { get; private set; }
41
42    public VariousInstanceProvider() : this((int)DateTime.Now.Ticks) { }
43
44    public VariousInstanceProvider(int seed) : base() {
45      Seed = seed;
46    }
47    public override IEnumerable<IDataDescriptor> GetDataDescriptors() {
48      List<IDataDescriptor> descriptorList = new List<IDataDescriptor>();
49      var rand = new MersenneTwister((uint)Seed);
50      descriptorList.Add(new BreimanOne(rand.Next()));
51      descriptorList.Add(new FriedmanOne(rand.Next()));
52      descriptorList.Add(new FriedmanTwo(rand.Next()));
53      descriptorList.Add(new PolyTen(rand.Next()));
54      descriptorList.Add(new SpatialCoevolution(rand.Next()));
55      return descriptorList;
56    }
57  }
58}
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