Changeset 9363 for branches/OaaS/HeuristicLab.Problems.Instances.DataAnalysis/3.3/Regression/Korns/KornsFunctionSeven.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/Korns/KornsFunctionSeven.cs
r8225 r9363 39 39 + "We test each of the test cases on matrices of 10000 rows by 1 to 5 columns with no noise. " 40 40 + "For each test a training matrix is filled with random numbers between -50 and +50. The test case " 41 + "target expressions are limited to one basis function whose maximum depth is three grammar nodes.\""; 41 + "target expressions are limited to one basis function whose maximum depth is three grammar nodes.\"" + Environment.NewLine 42 + "Note: Because of the exponential function only non-negatic values are created for its input variable!"; 42 43 } 43 44 } 44 45 protected override string TargetVariable { get { return "Y"; } } 45 protected override string[] InputVariables { get { return new string[] { "X0", "X1", "X2", "X3", "X4", "Y" }; } }46 protected override string[] VariableNames { get { return new string[] { "X0", "X1", "X2", "X3", "X4", "Y" }; } } 46 47 protected override string[] AllowedInputVariables { get { return new string[] { "X0", "X1", "X2", "X3", "X4" }; } } 47 48 protected override int TrainingPartitionStart { get { return 0; } } … … 52 53 protected override List<List<double>> GenerateValues() { 53 54 List<List<double>> data = new List<List<double>>(); 54 for (int i = 0; i < AllowedInputVariables.Count(); i++) { 55 data.Add(ValueGenerator.GenerateUniformDistributedValues(TestPartitionEnd, -50, 50).ToList()); 56 } 55 data.Add(ValueGenerator.GenerateUniformDistributedValues(TestPartitionEnd, -50, 50).ToList()); 56 data.Add(ValueGenerator.GenerateUniformDistributedValues(TestPartitionEnd, -50, 50).ToList()); 57 data.Add(ValueGenerator.GenerateUniformDistributedValues(TestPartitionEnd, -50, 50).ToList()); 58 data.Add(ValueGenerator.GenerateUniformDistributedValues(TestPartitionEnd, -50, 50).ToList()); 59 data.Add(ValueGenerator.GenerateUniformDistributedValues(TestPartitionEnd, -50, 50).ToList()); 57 60 58 61 double x0;
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