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source: branches/3127-MRGP-VarPro-Exploration/HeuristicLab.Tests/HeuristicLab.Algorithms.DataAnalysis-3.4/VarProMRGPTest.cs @ 18003

Last change on this file since 18003 was 18003, checked in by gkronber, 3 years ago

#3127: changed VarProMRGP to use HEAL.VarPro instead of VarPro implementation in NativeInterpreter

File size: 1.8 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
22
23using System.Linq;
24using Microsoft.VisualStudio.TestTools.UnitTesting;
25
26namespace HeuristicLab.Tests {
27  [TestClass]
28  public class VarProMRGPTest {
29
30    [TestMethod]
31    [TestCategory("Algorithms.DataAnalysis")]
32    [TestProperty("Time", "medium")]
33    public void VarProMRGPPoly10() {
34      var prov = new HeuristicLab.Problems.Instances.DataAnalysis.VariousInstanceProvider();
35      var poly10 = prov.GetDataDescriptors().First(dd => dd.Name.Contains("Poly"));
36      var problemData = prov.LoadData(poly10);
37      var prob = new HeuristicLab.Problems.VarProMRGP.Problem();
38      prob.RegressionProblemData = problemData;
39      var alg = new HeuristicLab.Algorithms.GeneticAlgorithm.GeneticAlgorithm();
40      alg.Problem = prob;
41
42      alg.MaximumGenerations.Value = 2;
43      alg.PopulationSize.Value = 10;
44      alg.MutationProbability.Value = 0.1;
45      alg.SetSeedRandomly.Value = false;
46      alg.Seed.Value = 1234;
47
48      alg.Start();
49
50
51    }
52  }
53}
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