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source: stable/HeuristicLab.Tests/HeuristicLab.Scripting-3.3/GridSearchSVMRegressionScriptTest.cs @ 14536

Last change on this file since 14536 was 14186, checked in by swagner, 8 years ago

#2526: Updated year of copyrights in license headers

File size: 3.3 KB
Line 
1#region License Information
2/* HeuristicLab
3 * Copyright (C) 2002-2016 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.IO;
23using System.Linq;
24using HeuristicLab.Persistence.Default.Xml;
25using HeuristicLab.Problems.DataAnalysis;
26using HeuristicLab.Problems.Instances.DataAnalysis;
27using HeuristicLab.Scripting;
28using Microsoft.VisualStudio.TestTools.UnitTesting;
29
30namespace HeuristicLab.Tests {
31  [TestClass]
32  public class GridSearchSVMRegressionScriptTest {
33    private const string ScriptFileName = "GridSearch_SVM_Regression_Script";
34    private const string ScriptItemName = "Grid Search SVM Script - Regression";
35    private const string ScriptItemDescription = "A script that runs a grid search for SVM parameters for solving symbolic regression problems";
36    private const string ProblemInstanceName = "Keijzer 9 f(x) = arcsinh(x)  i.e. ln(x + sqrt(x² + 1))";
37    private const string ProblemInstanceDataVaribleName = "problem";
38    private const string BestSolutionVariableName = "bestSolution";
39
40    [TestMethod]
41    [TestCategory("Scripts.Create")]
42    [TestProperty("Time", "short")]
43    public void CreateGridSearchSVMRegressionScriptTest() {
44      var script = CreateGridSearchSVMRegressionScript();
45      string path = Path.Combine(ScriptingUtils.ScriptsDirectory, ScriptFileName + ScriptingUtils.ScriptFileExtension);
46      XmlGenerator.Serialize(script, path);
47    }
48
49    [TestMethod]
50    [TestCategory("Scripts.Execute")]
51    [TestProperty("Time", "medium")]
52    public void RunGridSearchSVMRegressionScriptTest() {
53      var script = CreateGridSearchSVMRegressionScript();
54
55      script.Compile();
56      ScriptingUtils.RunScript(script);
57
58      var bestSolution = ScriptingUtils.GetVariable<IRegressionSolution>(script, BestSolutionVariableName);
59      Assert.AreEqual(0.982485852864274, bestSolution.TrainingRSquared, 1E-8);
60      Assert.AreEqual(0.98817480950295, bestSolution.TestRSquared, 1E-8);
61    }
62
63    private CSharpScript CreateGridSearchSVMRegressionScript() {
64      var script = new CSharpScript {
65        Name = ScriptItemName,
66        Description = ScriptItemDescription
67      };
68      #region Variables
69      var provider = new KeijzerInstanceProvider();
70      var instance = (ArtificialRegressionDataDescriptor)provider.GetDataDescriptors().Single(x => x.Name == ProblemInstanceName);
71      var data = instance.GenerateRegressionData();
72      script.VariableStore.Add(ProblemInstanceDataVaribleName, data);
73      #endregion
74      #region Code
75      script.Code = ScriptSources.GridSearchSVMRegressionScriptSource;
76      #endregion
77      return script;
78    }
79  }
80}
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