#region License Information /* HeuristicLab * Copyright (C) 2002-2013 Heuristic and Evolutionary Algorithms Laboratory (HEAL) * * This file is part of HeuristicLab. * * HeuristicLab is free software: you can redistribute it and/or modify * it under the terms of the GNU General Public License as published by * the Free Software Foundation, either version 3 of the License, or * (at your option) any later version. * * HeuristicLab is distributed in the hope that it will be useful, * but WITHOUT ANY WARRANTY; without even the implied warranty of * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the * GNU General Public License for more details. * * You should have received a copy of the GNU General Public License * along with HeuristicLab. If not, see . */ #endregion using System; using System.Linq; using System.Threading; using HeuristicLab.Common; using HeuristicLab.Problems.DataAnalysis; using HeuristicLab.Problems.Instances.DataAnalysis; using Microsoft.VisualStudio.TestTools.UnitTesting; namespace HeuristicLab.Algorithms.DataAnalysis.Tests { [TestClass] [DeploymentItem(@"HeuristicLab.Algorithms.DataAnalysis-3.4/co2.txt")] public class GaussianProcessRegressionTest { public GaussianProcessRegressionTest() { } private TestContext testContextInstance; public TestContext TestContext { get { return testContextInstance; } set { testContextInstance = value; } } private EventWaitHandle trigger = new AutoResetEvent(false); private Exception ex; [TestMethod] [TestCategory("Algorithms.DataAnalysis")] [TestProperty("Time", "long")] public void GaussianProcessRegressionPerformanceTest() { ex = null; var alg = new GaussianProcessRegression(); alg.Engine = new HeuristicLab.SequentialEngine.SequentialEngine(); alg.Problem = new RegressionProblem(); var provider = new RegressionCSVInstanceProvider(); var problemData = (RegressionProblemData)provider.ImportData("co2.txt"); problemData.TargetVariableParameter.ActualValue = problemData.TargetVariableParameter.ValidValues.First(x => x.Value == "interpolated"); problemData.InputVariables.SetItemCheckedState(problemData.InputVariables.First(x => x.Value == "year"), false); problemData.InputVariables.SetItemCheckedState(problemData.InputVariables.First(x => x.Value == "month"), false); problemData.InputVariables.SetItemCheckedState(problemData.InputVariables.First(x => x.Value == "average"), false); problemData.InputVariables.SetItemCheckedState(problemData.InputVariables.First(x => x.Value == "interpolated"), false); problemData.InputVariables.SetItemCheckedState(problemData.InputVariables.First(x => x.Value == "trend"), false); problemData.InputVariables.SetItemCheckedState(problemData.InputVariables.First(x => x.Value == "#days"), false); alg.Problem.ProblemDataParameter.Value = problemData; alg.ExceptionOccurred += new EventHandler>(cv_ExceptionOccurred); alg.Stopped += new EventHandler(cv_Stopped); alg.Prepare(); alg.Start(); trigger.WaitOne(); if (ex != null) throw ex; TestContext.WriteLine("Runtime: {0}", alg.ExecutionTime.ToString()); } private void cv_ExceptionOccurred(object sender, EventArgs e) { ex = e.Value; } private void cv_Stopped(object sender, EventArgs e) { trigger.Set(); } } }