- Timestamp:
- 03/08/09 12:48:18 (16 years ago)
- Location:
- trunk/sources/HeuristicLab.GP.StructureIdentification.TimeSeries
- Files:
-
- 1 edited
- 9 copied
Legend:
- Unmodified
- Added
- Removed
-
trunk/sources/HeuristicLab.GP.StructureIdentification.TimeSeries/HeuristicLab.GP.StructureIdentification.TimeSeries.csproj
r852 r1287 54 54 <RequiredTargetFramework>3.5</RequiredTargetFramework> 55 55 </Reference> 56 <Reference Include="System.Drawing" /> 57 <Reference Include="System.Windows.Forms" /> 56 58 <Reference Include="System.Xml.Linq"> 57 59 <RequiredTargetFramework>3.5</RequiredTargetFramework> … … 69 71 </Compile> 70 72 <Compile Include="HeuristicLabGPTimeSeriesPlugin.cs" /> 73 <Compile Include="OffspringSelectionGP.cs" /> 74 <Compile Include="OffspringSelectionGpEditor.cs"> 75 <SubType>UserControl</SubType> 76 </Compile> 77 <Compile Include="OffspringSelectionGpEditor.Designer.cs"> 78 <DependentUpon>OffspringSelectionGpEditor.cs</DependentUpon> 79 </Compile> 80 <Compile Include="ProblemInjector.cs" /> 71 81 <Compile Include="ProfitEvaluator.cs" /> 72 82 <Compile Include="Properties\AssemblyInfo.cs" /> 83 <Compile Include="StandardGP.cs" /> 84 <Compile Include="StandardGpEditor.cs"> 85 <SubType>UserControl</SubType> 86 </Compile> 87 <Compile Include="StandardGpEditor.Designer.cs"> 88 <DependentUpon>StandardGpEditor.cs</DependentUpon> 89 </Compile> 73 90 <Compile Include="TheilInequalityCoefficientEvaluator.cs" /> 74 91 </ItemGroup> … … 98 115 <Name>HeuristicLab.GP</Name> 99 116 </ProjectReference> 117 <ProjectReference Include="..\HeuristicLab.Logging\HeuristicLab.Logging.csproj"> 118 <Project>{4095C92C-5A4C-44BC-9963-5F384CF5CC3F}</Project> 119 <Name>HeuristicLab.Logging</Name> 120 </ProjectReference> 121 <ProjectReference Include="..\HeuristicLab.Operators\HeuristicLab.Operators.csproj"> 122 <Project>{A9983BA2-B3B2-475E-8E2C-62050B71D1C5}</Project> 123 <Name>HeuristicLab.Operators</Name> 124 </ProjectReference> 100 125 <ProjectReference Include="..\HeuristicLab.PluginInfrastructure\HeuristicLab.PluginInfrastructure.csproj"> 101 126 <Project>{94186A6A-5176-4402-AE83-886557B53CCA}</Project> … … 106 131 <None Include="HeuristicLab.snk" /> 107 132 <None Include="Properties\AssemblyInfo.frame" /> 133 </ItemGroup> 134 <ItemGroup> 135 <EmbeddedResource Include="OffspringSelectionGpEditor.resx"> 136 <DependentUpon>OffspringSelectionGpEditor.cs</DependentUpon> 137 </EmbeddedResource> 138 <EmbeddedResource Include="StandardGpEditor.resx"> 139 <DependentUpon>StandardGpEditor.cs</DependentUpon> 140 </EmbeddedResource> 108 141 </ItemGroup> 109 142 <Import Project="$(MSBuildToolsPath)\Microsoft.CSharp.targets" /> -
trunk/sources/HeuristicLab.GP.StructureIdentification.TimeSeries/OffspringSelectionGP.cs
r1245 r1287 30 30 using HeuristicLab.Data; 31 31 using HeuristicLab.Operators; 32 using HeuristicLab.Logging; 32 33 33 34 namespace HeuristicLab.GP.StructureIdentification.TimeSeries { 34 35 public class OffspringSelectionGP : HeuristicLab.GP.StructureIdentification.OffspringSelectionGP { 36 public virtual bool Autoregressive { 37 get { return ProblemInjector.GetVariable("Autoregressive").GetValue<BoolData>().Data; } 38 set { ProblemInjector.GetVariable("Autoregressive").GetValue<BoolData>().Data = value; } 39 } 40 35 41 protected override IOperator CreateFunctionLibraryInjector() { 36 42 return new FunctionLibraryInjector(); 37 43 } 38 44 45 protected override IOperator CreateProblemInjector() { 46 return new ProblemInjector(); 47 } 48 39 49 protected override IOperator CreateBestSolutionProcessor() { 40 50 IOperator seq = base.CreateBestSolutionProcessor(); 41 TheilInequalityCoefficientEvaluator trainingTheil = new TheilInequalityCoefficientEvaluator(); 42 trainingTheil.GetVariableInfo("SamplesStart").ActualName = "TrainingSamplesStart"; 43 trainingTheil.GetVariableInfo("SamplesEnd").ActualName = "TrainingSamplesEnd"; 44 trainingTheil.GetVariableInfo("TheilInequalityCoefficient").ActualName = "TrainingTheilInequalityCoefficient"; 45 trainingTheil.GetVariableInfo("TheilInequalityCoefficientBias").ActualName = "TrainingTheilInequalityCoefficientBias"; 46 trainingTheil.GetVariableInfo("TheilInequalityCoefficientVariance").ActualName = "TrainingTheilInequalityCoefficientVariance"; 47 trainingTheil.GetVariableInfo("TheilInequalityCoefficientCovariance").ActualName = "TrainingTheilInequalityCoefficientCovariance"; 51 seq.AddSubOperator(StandardGP.BestSolutionProcessor); 52 return seq; 53 } 48 54 49 TheilInequalityCoefficientEvaluator validationTheil = new TheilInequalityCoefficientEvaluator(); 50 validationTheil.GetVariableInfo("SamplesStart").ActualName = "ValidationSamplesStart"; 51 validationTheil.GetVariableInfo("SamplesEnd").ActualName = "ValidationSamplesEnd"; 52 validationTheil.GetVariableInfo("TheilInequalityCoefficient").ActualName = "ValidationTheilInequalityCoefficient"; 53 validationTheil.GetVariableInfo("TheilInequalityCoefficientBias").ActualName = "ValidationTheilInequalityCoefficientBias"; 54 validationTheil.GetVariableInfo("TheilInequalityCoefficientVariance").ActualName = "ValidationTheilInequalityCoefficientVariance"; 55 validationTheil.GetVariableInfo("TheilInequalityCoefficientCovariance").ActualName = "ValidationTheilInequalityCoefficientCovariance"; 55 public override IEditor CreateEditor() { 56 return new OffspringSelectionGpEditor(this); 57 } 56 58 57 TheilInequalityCoefficientEvaluator testTheil = new TheilInequalityCoefficientEvaluator(); 58 testTheil.GetVariableInfo("SamplesStart").ActualName = "TestSamplesStart"; 59 testTheil.GetVariableInfo("SamplesEnd").ActualName = "TestSamplesEnd"; 60 testTheil.GetVariableInfo("TheilInequalityCoefficient").ActualName = "TestTheilInequalityCoefficient"; 61 testTheil.GetVariableInfo("TheilInequalityCoefficientBias").ActualName = "TestTheilInequalityCoefficientBias"; 62 testTheil.GetVariableInfo("TheilInequalityCoefficientVariance").ActualName = "TestTheilInequalityCoefficientVariance"; 63 testTheil.GetVariableInfo("TheilInequalityCoefficientCovariance").ActualName = "TestTheilInequalityCoefficientCovariance"; 64 65 seq.AddSubOperator(trainingTheil); 66 seq.AddSubOperator(validationTheil); 67 seq.AddSubOperator(testTheil); 68 69 return seq; 59 public override IView CreateView() { 60 return new OffspringSelectionGpEditor(this); 70 61 } 71 62 } -
trunk/sources/HeuristicLab.GP.StructureIdentification.TimeSeries/OffspringSelectionGpEditor.Designer.cs
r1254 r1287 1 namespace HeuristicLab.GP.StructureIdentification.TimeSeries { 1 #region License Information 2 /* HeuristicLab 3 * Copyright (C) 2002-2008 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 22 namespace HeuristicLab.GP.StructureIdentification.TimeSeries { 2 23 partial class OffspringSelectionGpEditor { 3 24 /// <summary> -
trunk/sources/HeuristicLab.GP.StructureIdentification.TimeSeries/OffspringSelectionGpEditor.cs
r1254 r1287 1 using System; 1 #region License Information 2 /* HeuristicLab 3 * Copyright (C) 2002-2008 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 22 using System; 2 23 using System.Collections.Generic; 3 24 using System.ComponentModel; … … 19 40 20 41 protected override void SetDataBinding() { 21 base.SetDataBinding(); 42 base.SetDataBinding(); 22 43 autoregressionCheckbox.DataBindings.Add("Checked", OffspringSelectionGP, "Autoregressive"); 23 44 } -
trunk/sources/HeuristicLab.GP.StructureIdentification.TimeSeries/ProblemInjector.cs
r1254 r1287 40 40 public ProblemInjector() 41 41 : base() { 42 AddVariableInfo(new Core.VariableInfo("Autoregressive", "Autoregressive modelling includes previous values of the target variable to predict future values.", typeof(BoolData), Core.VariableKind.New)); 43 GetVariableInfo("Autoregressive").Local = true; 44 AddVariable(new Core.Variable("Autoregressive", new BoolData())); 45 42 46 AddVariableInfo(new Core.VariableInfo("MaxTimeOffset", "MaxTimeOffset", typeof(IntData), Core.VariableKind.New)); 43 47 GetVariableInfo("MaxTimeOffset").Local = true; -
trunk/sources/HeuristicLab.GP.StructureIdentification.TimeSeries/StandardGP.cs
r1245 r1287 29 29 using HeuristicLab.DataAnalysis; 30 30 using HeuristicLab.Data; 31 using HeuristicLab.Operators; 32 using HeuristicLab.Logging; 31 33 32 34 namespace HeuristicLab.GP.StructureIdentification.TimeSeries { 33 35 public class StandardGP : HeuristicLab.GP.StructureIdentification.StandardGP { 36 public bool Autoregressive { 37 get { return ProblemInjector.GetVariable("Autoregressive").GetValue<BoolData>().Data; } 38 set { ProblemInjector.GetVariable("Autoregressive").GetValue<BoolData>().Data = value; } 39 } 40 34 41 protected override IOperator CreateFunctionLibraryInjector() { 35 42 return new FunctionLibraryInjector(); 36 43 } 37 44 45 protected override IOperator CreateProblemInjector() { 46 return new ProblemInjector(); 47 } 48 38 49 protected override IOperator CreateBestSolutionProcessor() { 39 50 IOperator seq = base.CreateBestSolutionProcessor(); 40 TheilInequalityCoefficientEvaluator trainingTheil = new TheilInequalityCoefficientEvaluator(); 41 trainingTheil.GetVariableInfo("SamplesStart").ActualName = "TrainingSamplesStart"; 42 trainingTheil.GetVariableInfo("SamplesEnd").ActualName = "TrainingSamplesEnd"; 43 trainingTheil.GetVariableInfo("TheilInequalityCoefficient").ActualName = "TrainingTheilInequalityCoefficient"; 44 trainingTheil.GetVariableInfo("TheilInequalityCoefficientBias").ActualName = "TrainingTheilInequalityCoefficientBias"; 45 trainingTheil.GetVariableInfo("TheilInequalityCoefficientVariance").ActualName = "TrainingTheilInequalityCoefficientVariance"; 46 trainingTheil.GetVariableInfo("TheilInequalityCoefficientCovariance").ActualName = "TrainingTheilInequalityCoefficientCovariance"; 51 seq.AddSubOperator(BestSolutionProcessor); 52 return seq; 53 } 47 54 48 TheilInequalityCoefficientEvaluator validationTheil = new TheilInequalityCoefficientEvaluator(); 49 validationTheil.GetVariableInfo("SamplesStart").ActualName = "ValidationSamplesStart"; 50 validationTheil.GetVariableInfo("SamplesEnd").ActualName = "ValidationSamplesEnd"; 51 validationTheil.GetVariableInfo("TheilInequalityCoefficient").ActualName = "ValidationTheilInequalityCoefficient"; 52 validationTheil.GetVariableInfo("TheilInequalityCoefficientBias").ActualName = "ValidationTheilInequalityCoefficientBias"; 53 validationTheil.GetVariableInfo("TheilInequalityCoefficientVariance").ActualName = "ValidationTheilInequalityCoefficientVariance"; 54 validationTheil.GetVariableInfo("TheilInequalityCoefficientCovariance").ActualName = "ValidationTheilInequalityCoefficientCovariance"; 55 public override IEditor CreateEditor() { 56 return new StandardGpEditor(this); 57 } 55 58 56 TheilInequalityCoefficientEvaluator testTheil = new TheilInequalityCoefficientEvaluator(); 57 testTheil.GetVariableInfo("SamplesStart").ActualName = "TestSamplesStart"; 58 testTheil.GetVariableInfo("SamplesEnd").ActualName = "TestSamplesEnd"; 59 testTheil.GetVariableInfo("TheilInequalityCoefficient").ActualName = "TestTheilInequalityCoefficient"; 60 testTheil.GetVariableInfo("TheilInequalityCoefficientBias").ActualName = "TestTheilInequalityCoefficientBias"; 61 testTheil.GetVariableInfo("TheilInequalityCoefficientVariance").ActualName = "TestTheilInequalityCoefficientVariance"; 62 testTheil.GetVariableInfo("TheilInequalityCoefficientCovariance").ActualName = "TestTheilInequalityCoefficientCovariance"; 59 public override IView CreateView() { 60 return new StandardGpEditor(this); 61 } 63 62 64 seq.AddSubOperator(trainingTheil); 65 seq.AddSubOperator(validationTheil); 66 seq.AddSubOperator(testTheil); 63 internal static IOperator BestSolutionProcessor { 64 get { 65 SequentialProcessor seq = new SequentialProcessor(); 66 TheilInequalityCoefficientEvaluator trainingTheil = new TheilInequalityCoefficientEvaluator(); 67 trainingTheil.GetVariableInfo("SamplesStart").ActualName = "TrainingSamplesStart"; 68 trainingTheil.GetVariableInfo("SamplesEnd").ActualName = "TrainingSamplesEnd"; 69 trainingTheil.GetVariableInfo("TheilInequalityCoefficient").ActualName = "TrainingTheilInequalityCoefficient"; 70 trainingTheil.GetVariableInfo("TheilInequalityCoefficientBias").ActualName = "TrainingTheilInequalityCoefficientBias"; 71 trainingTheil.GetVariableInfo("TheilInequalityCoefficientVariance").ActualName = "TrainingTheilInequalityCoefficientVariance"; 72 trainingTheil.GetVariableInfo("TheilInequalityCoefficientCovariance").ActualName = "TrainingTheilInequalityCoefficientCovariance"; 67 73 68 return seq; 74 TheilInequalityCoefficientEvaluator validationTheil = new TheilInequalityCoefficientEvaluator(); 75 validationTheil.GetVariableInfo("SamplesStart").ActualName = "ValidationSamplesStart"; 76 validationTheil.GetVariableInfo("SamplesEnd").ActualName = "ValidationSamplesEnd"; 77 validationTheil.GetVariableInfo("TheilInequalityCoefficient").ActualName = "ValidationTheilInequalityCoefficient"; 78 validationTheil.GetVariableInfo("TheilInequalityCoefficientBias").ActualName = "ValidationTheilInequalityCoefficientBias"; 79 validationTheil.GetVariableInfo("TheilInequalityCoefficientVariance").ActualName = "ValidationTheilInequalityCoefficientVariance"; 80 validationTheil.GetVariableInfo("TheilInequalityCoefficientCovariance").ActualName = "ValidationTheilInequalityCoefficientCovariance"; 81 82 TheilInequalityCoefficientEvaluator testTheil = new TheilInequalityCoefficientEvaluator(); 83 testTheil.GetVariableInfo("SamplesStart").ActualName = "TestSamplesStart"; 84 testTheil.GetVariableInfo("SamplesEnd").ActualName = "TestSamplesEnd"; 85 testTheil.GetVariableInfo("TheilInequalityCoefficient").ActualName = "TestTheilInequalityCoefficient"; 86 testTheil.GetVariableInfo("TheilInequalityCoefficientBias").ActualName = "TestTheilInequalityCoefficientBias"; 87 testTheil.GetVariableInfo("TheilInequalityCoefficientVariance").ActualName = "TestTheilInequalityCoefficientVariance"; 88 testTheil.GetVariableInfo("TheilInequalityCoefficientCovariance").ActualName = "TestTheilInequalityCoefficientCovariance"; 89 90 SimpleEvaluator trainingEvaluator = new SimpleEvaluator(); 91 trainingEvaluator.GetVariableInfo("SamplesStart").ActualName = "TrainingSamplesStart"; 92 trainingEvaluator.GetVariableInfo("SamplesEnd").ActualName = "TrainingSamplesEnd"; 93 trainingEvaluator.GetVariableInfo("Values").ActualName = "PredictedValuesTraining"; 94 95 SimpleEvaluator validationEvaluator = new SimpleEvaluator(); 96 validationEvaluator.GetVariableInfo("SamplesStart").ActualName = "ValidationSamplesStart"; 97 validationEvaluator.GetVariableInfo("SamplesEnd").ActualName = "ValidationSamplesEnd"; 98 validationEvaluator.GetVariableInfo("Values").ActualName = "PredictedValuesValidation"; 99 100 SimpleEvaluator testEvaluator = new SimpleEvaluator(); 101 testEvaluator.GetVariableInfo("SamplesStart").ActualName = "TestSamplesStart"; 102 testEvaluator.GetVariableInfo("SamplesEnd").ActualName = "TestSamplesEnd"; 103 testEvaluator.GetVariableInfo("Values").ActualName = "PredictedValuesTest"; 104 105 LinechartInjector trainingChartInjector = new LinechartInjector(); 106 trainingChartInjector.GetVariableValue<IntData>("NumberOfLines", null, false).Data = 2; 107 trainingChartInjector.GetVariableInfo("Values").ActualName = "PredictedValuesTraining"; 108 trainingChartInjector.GetVariableInfo("Linechart").ActualName = "LinechartTrainingPredictedValues"; 109 110 LinechartInjector validationChartInjector = new LinechartInjector(); 111 validationChartInjector.GetVariableValue<IntData>("NumberOfLines", null, false).Data = 2; 112 validationChartInjector.GetVariableInfo("Values").ActualName = "PredictedValuesValidation"; 113 validationChartInjector.GetVariableInfo("Linechart").ActualName = "LinechartValidationPredictedValues"; 114 115 LinechartInjector testChartInjector = new LinechartInjector(); 116 testChartInjector.GetVariableValue<IntData>("NumberOfLines", null, false).Data = 2; 117 testChartInjector.GetVariableInfo("Values").ActualName = "PredictedValuesTest"; 118 testChartInjector.GetVariableInfo("Linechart").ActualName = "LinechartTestPredictedValues"; 119 120 seq.AddSubOperator(trainingTheil); 121 seq.AddSubOperator(validationTheil); 122 seq.AddSubOperator(testTheil); 123 seq.AddSubOperator(trainingEvaluator); 124 seq.AddSubOperator(trainingChartInjector); 125 seq.AddSubOperator(validationEvaluator); 126 seq.AddSubOperator(validationChartInjector); 127 seq.AddSubOperator(testEvaluator); 128 seq.AddSubOperator(testChartInjector); 129 130 return seq; 131 } 69 132 } 70 133 } -
trunk/sources/HeuristicLab.GP.StructureIdentification.TimeSeries/StandardGpEditor.Designer.cs
r1254 r1287 1 namespace HeuristicLab.GP.StructureIdentification.TimeSeries { 1 #region License Information 2 /* HeuristicLab 3 * Copyright (C) 2002-2008 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 22 namespace HeuristicLab.GP.StructureIdentification.TimeSeries { 2 23 partial class StandardGpEditor { 3 24 /// <summary> -
trunk/sources/HeuristicLab.GP.StructureIdentification.TimeSeries/StandardGpEditor.cs
r1254 r1287 1 using System; 1 #region License Information 2 /* HeuristicLab 3 * Copyright (C) 2002-2008 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 22 using System; 2 23 using System.Collections.Generic; 3 24 using System.ComponentModel;
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