Changeset 9363 for branches/OaaS/HeuristicLab.Problems.Instances.DataAnalysis/3.3/Regression/Vladislavleva/RationalPolynomialTwoDimensional.cs
- Timestamp:
- 04/16/13 13:13:41 (11 years ago)
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old new 21 21 protoc.exe 22 22 _ReSharper.HeuristicLab 3.3 Tests 23 Google.ProtocolBuffers-2.4.1.473.dll 23 24 packages
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/trunk/sources/HeuristicLab.Problems.Instances.DataAnalysis merged eligible /branches/Algorithms.GradientDescent/HeuristicLab.Problems.Instances.DataAnalysis 5516-5520 /branches/Benchmarking/sources/HeuristicLab.Problems.Instances.DataAnalysis 6917-7005 /branches/CloningRefactoring/HeuristicLab.Problems.Instances.DataAnalysis 4656-4721 /branches/DataAnalysis Refactoring/HeuristicLab.Problems.Instances.DataAnalysis 5471-5808 /branches/DataAnalysis SolutionEnsembles/HeuristicLab.Problems.Instances.DataAnalysis 5815-6180 /branches/DataAnalysis/HeuristicLab.Problems.Instances.DataAnalysis 4458-4459,4462,4464 /branches/DataAnalysisCSVImport/HeuristicLab.Problems.Instances.DataAnalysis 8695-8875 /branches/GP.Grammar.Editor/HeuristicLab.Problems.Instances.DataAnalysis 6284-6795 /branches/GP.Symbols (TimeLag, Diff, Integral)/HeuristicLab.Problems.Instances.DataAnalysis 5060 /branches/HeuristicLab.TimeSeries/HeuristicLab.Problems.Instances.DataAnalysis 7889-8789 /branches/NET40/sources/HeuristicLab.Problems.Instances.DataAnalysis 5138-5162 /branches/ParallelEngine/HeuristicLab.Problems.Instances.DataAnalysis 5175-5192 /branches/ProblemInstancesRegressionAndClassification/HeuristicLab.Problems.Instances.DataAnalysis 7568-7810 /branches/QAPAlgorithms/HeuristicLab.Problems.Instances.DataAnalysis 6350-6627 /branches/Restructure trunk solution/HeuristicLab.Problems.Instances.DataAnalysis 6828 /branches/RuntimeOptimizer/HeuristicLab.Problems.Instances.DataAnalysis 8943-9078 /branches/ScatterSearch (trunk integration)/HeuristicLab.Problems.Instances.DataAnalysis 7787-8333 /branches/SlaveShutdown/HeuristicLab.Problems.Instances.DataAnalysis 8944-8956 /branches/SuccessProgressAnalysis/HeuristicLab.Problems.Instances.DataAnalysis 5370-5682 /branches/Trunk/HeuristicLab.Problems.Instances.DataAnalysis 6829-6865 /branches/UnloadJobs/HeuristicLab.Problems.Instances.DataAnalysis 9168-9215 /branches/VNS/HeuristicLab.Problems.Instances.DataAnalysis 5594-5752 /branches/histogram/HeuristicLab.Problems.Instances.DataAnalysis 5959-6341
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branches/OaaS/HeuristicLab.Problems.Instances.DataAnalysis/3.3/Regression/Vladislavleva/RationalPolynomialTwoDimensional.cs
r7849 r9363 27 27 public class RationalPolynomialTwoDimensional : ArtificialRegressionDataDescriptor { 28 28 29 public override string Name { get { return "Vladislavleva RatPol2D"; } }29 public override string Name { get { return "Vladislavleva-8 F8(X1, X2) = ((X1 - 3)^4 + (X2 - 3)³ - (X2 -3)) / ((X2 - 2)^4 + 10)"; } } 30 30 public override string Description { 31 31 get { 32 32 return "Paper: Order of Nonlinearity as a Complexity Measure for Models Generated by Symbolic Regression via Pareto Genetic Programming " + Environment.NewLine 33 33 + "Authors: Ekaterina J. Vladislavleva, Member, IEEE, Guido F. Smits, Member, IEEE, and Dick den Hertog" + Environment.NewLine 34 + "Function: F8(X1, X2) = ((X1 - 3)^4 + (X2 - 3) ^3- (X2 -3)) / ((X2 - 2)^4 + 10)" + Environment.NewLine34 + "Function: F8(X1, X2) = ((X1 - 3)^4 + (X2 - 3)³ - (X2 -3)) / ((X2 - 2)^4 + 10)" + Environment.NewLine 35 35 + "Training Data: 50 points X1, X2 = Rand(0.05, 6.05)" + Environment.NewLine 36 + "Test Data: 1157points X1, X2 = (-0.25:0.2:6.35)" + Environment.NewLine37 + "Function Set: +, -, *, /, sq aure, x^real, x + real, x + real";36 + "Test Data: 34*34 points X1, X2 = (-0.25:0.2:6.35)" + Environment.NewLine 37 + "Function Set: +, -, *, /, square, x^eps, x + eps, x * eps"; 38 38 } 39 39 } 40 40 protected override string TargetVariable { get { return "Y"; } } 41 protected override string[] InputVariables { get { return new string[] { "X1", "X2", "Y" }; } }41 protected override string[] VariableNames { get { return new string[] { "X1", "X2", "Y" }; } } 42 42 protected override string[] AllowedInputVariables { get { return new string[] { "X1", "X2" }; } } 43 43 protected override int TrainingPartitionStart { get { return 0; } } 44 44 protected override int TrainingPartitionEnd { get { return 50; } } 45 protected override int TestPartitionStart { get { return 1000; } }46 protected override int TestPartitionEnd { get { return 2157; } }45 protected override int TestPartitionStart { get { return 50; } } 46 protected override int TestPartitionEnd { get { return 50 + (34 * 34); } } 47 47 48 48 protected override List<List<double>> GenerateValues() { … … 50 50 51 51 List<double> oneVariableTestData = ValueGenerator.GenerateSteps(-0.25, 6.35, 0.2).ToList(); 52 52 53 List<List<double>> testData = new List<List<double>>() { oneVariableTestData, oneVariableTestData }; 54 var combinations = ValueGenerator.GenerateAllCombinationsOfValuesInLists(testData).ToList<IEnumerable<double>>(); 53 55 54 var combinations = ValueGenerator.GenerateAllCombinationsOfValuesInLists(testData).ToList<IEnumerable<double>>();55 56 for (int i = 0; i < AllowedInputVariables.Count(); i++) { 56 data.Add(ValueGenerator.GenerateUniformDistributedValues( 1000, 0.05, 6.05).ToList());57 data.Add(ValueGenerator.GenerateUniformDistributedValues(50, 0.05, 6.05).ToList()); 57 58 data[i].AddRange(combinations[i]); 58 59 }
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