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source: trunk/sources/HeuristicLab.Tests/HeuristicLab.Algorithms.DataAnalysis-3.4/GaussianProcessRegressionTest.cs @ 9783

Last change on this file since 9783 was 9783, checked in by mkommend, 9 years ago

#2088: Adapted HL-3.3.Tests, Algorithms.DataAnalysis.Tests, and Collections.Test.

File size: 3.5 KB
Line 
1#region License Information
2/* HeuristicLab
3 * Copyright (C) 2002-2013 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.Linq;
24using System.Threading;
25using HeuristicLab.Common;
26using HeuristicLab.Problems.DataAnalysis;
27using HeuristicLab.Problems.Instances.DataAnalysis;
28using Microsoft.VisualStudio.TestTools.UnitTesting;
29
30namespace HeuristicLab.Algorithms.DataAnalysis.Tests {
31  [TestClass]
32  [DeploymentItem(@"HeuristicLab.Algorithms.DataAnalysis-3.4/co2.txt")]
33  public class GaussianProcessRegressionTest {
34    public GaussianProcessRegressionTest() { }
35
36    private TestContext testContextInstance;
37    public TestContext TestContext {
38      get { return testContextInstance; }
39      set { testContextInstance = value; }
40    }
41
42    private EventWaitHandle trigger = new AutoResetEvent(false);
43    private Exception ex;
44
45    [TestMethod]
46    [TestCategory("Algorithms.DataAnalysis")]
47    [TestProperty("Time", "long")]
48    public void GaussianProcessRegressionPerformanceTest() {
49      ex = null;
50
51      var alg = new GaussianProcessRegression();
52      alg.Engine = new HeuristicLab.SequentialEngine.SequentialEngine();
53
54      alg.Problem = new RegressionProblem();
55      var provider = new RegressionCSVInstanceProvider();
56      var problemData = (RegressionProblemData)provider.ImportData("co2.txt");
57      problemData.TargetVariableParameter.ActualValue = problemData.TargetVariableParameter.ValidValues.First(x => x.Value == "interpolated");
58      problemData.InputVariables.SetItemCheckedState(problemData.InputVariables.First(x => x.Value == "year"), false);
59      problemData.InputVariables.SetItemCheckedState(problemData.InputVariables.First(x => x.Value == "month"), false);
60      problemData.InputVariables.SetItemCheckedState(problemData.InputVariables.First(x => x.Value == "average"), false);
61      problemData.InputVariables.SetItemCheckedState(problemData.InputVariables.First(x => x.Value == "interpolated"), false);
62      problemData.InputVariables.SetItemCheckedState(problemData.InputVariables.First(x => x.Value == "trend"), false);
63      problemData.InputVariables.SetItemCheckedState(problemData.InputVariables.First(x => x.Value == "#days"), false);
64
65      alg.Problem.ProblemDataParameter.Value = problemData;
66
67      alg.ExceptionOccurred += new EventHandler<EventArgs<Exception>>(cv_ExceptionOccurred);
68      alg.Stopped += new EventHandler(cv_Stopped);
69
70      alg.Prepare();
71      alg.Start();
72      trigger.WaitOne();
73      if (ex != null) throw ex;
74
75      TestContext.WriteLine("Runtime: {0}", alg.ExecutionTime.ToString());
76    }
77
78    private void cv_ExceptionOccurred(object sender, EventArgs<Exception> e) {
79      ex = e.Value;
80    }
81
82    private void cv_Stopped(object sender, EventArgs e) {
83      trigger.Set();
84    }
85  }
86}
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