- Timestamp:
- 03/05/09 13:27:29 (16 years ago)
- Location:
- branches/CEDMA-Refactoring-Ticket419
- Files:
-
- 5 edited
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- Unmodified
- Added
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branches/CEDMA-Refactoring-Ticket419/HeuristicLab.GP.StructureIdentification.Classification/HeuristicLab.GP.StructureIdentification.Classification.csproj
r1252 r1254 103 103 <Name>HeuristicLab.GP</Name> 104 104 </ProjectReference> 105 <ProjectReference Include="..\HeuristicLab.Operators\HeuristicLab.Operators.csproj"> 106 <Project>{A9983BA2-B3B2-475E-8E2C-62050B71D1C5}</Project> 107 <Name>HeuristicLab.Operators</Name> 108 </ProjectReference> 105 109 <ProjectReference Include="..\HeuristicLab.PluginInfrastructure\HeuristicLab.PluginInfrastructure.csproj"> 106 110 <Project>{94186A6A-5176-4402-AE83-886557B53CCA}</Project> -
branches/CEDMA-Refactoring-Ticket419/HeuristicLab.GP.StructureIdentification.Classification/OffspringSelectionGP.cs
r1252 r1254 39 39 protected override IOperator CreateBestSolutionProcessor() { 40 40 IOperator seq = base.CreateBestSolutionProcessor(); 41 AccuracyEvaluator trainingAccuracy = new AccuracyEvaluator(); 42 trainingAccuracy.GetVariableInfo("Accuracy").ActualName = "TrainingAccuracy"; 43 trainingAccuracy.GetVariableInfo("SamplesStart").ActualName = "TrainingSamplesStart"; 44 trainingAccuracy.GetVariableInfo("SamplesEnd").ActualName = "TrainingSamplesEnd"; 45 46 AccuracyEvaluator validationAccuracy = new AccuracyEvaluator(); 47 validationAccuracy.GetVariableInfo("Accuracy").ActualName = "ValidationAccuracy"; 48 validationAccuracy.GetVariableInfo("SamplesStart").ActualName = "ValidationSamplesStart"; 49 validationAccuracy.GetVariableInfo("SamplesEnd").ActualName = "ValidationSamplesEnd"; 50 51 AccuracyEvaluator testAccuracy = new AccuracyEvaluator(); 52 testAccuracy.GetVariableInfo("Accuracy").ActualName = "TestAccuracy"; 53 testAccuracy.GetVariableInfo("SamplesStart").ActualName = "TestSamplesStart"; 54 testAccuracy.GetVariableInfo("SamplesEnd").ActualName = "TestSamplesEnd"; 55 56 ConfusionMatrixEvaluator trainingConfusionMatrix = new ConfusionMatrixEvaluator(); 57 trainingConfusionMatrix.GetVariableInfo("ConfusionMatrix").ActualName = "TrainingConfusionMatrix"; 58 trainingConfusionMatrix.GetVariableInfo("SamplesStart").ActualName = "TrainingSamplesStart"; 59 trainingConfusionMatrix.GetVariableInfo("SamplesEnd").ActualName = "TrainingSamplesEnd"; 60 61 ConfusionMatrixEvaluator validationConfusionMatrix = new ConfusionMatrixEvaluator(); 62 validationConfusionMatrix.GetVariableInfo("ConfusionMatrix").ActualName = "ValidationConfusionMatrix"; 63 validationConfusionMatrix.GetVariableInfo("SamplesStart").ActualName = "ValidationSamplesStart"; 64 validationConfusionMatrix.GetVariableInfo("SamplesEnd").ActualName = "ValidationSamplesEnd"; 65 66 ConfusionMatrixEvaluator testConfusionMatrix = new ConfusionMatrixEvaluator(); 67 testConfusionMatrix.GetVariableInfo("ConfusionMatrix").ActualName = "TestConfusionMatrix"; 68 testConfusionMatrix.GetVariableInfo("SamplesStart").ActualName = "TestSamplesStart"; 69 testConfusionMatrix.GetVariableInfo("SamplesEnd").ActualName = "TestSamplesEnd"; 70 71 seq.AddSubOperator(trainingAccuracy); 72 seq.AddSubOperator(validationAccuracy); 73 seq.AddSubOperator(testAccuracy); 74 seq.AddSubOperator(trainingConfusionMatrix); 75 seq.AddSubOperator(validationConfusionMatrix); 76 seq.AddSubOperator(testConfusionMatrix); 41 seq.AddSubOperator(StandardGP.BestSolutionProcessor); 77 42 return seq; 78 43 } -
branches/CEDMA-Refactoring-Ticket419/HeuristicLab.GP.StructureIdentification.Classification/StandardGP.cs
r1253 r1254 30 30 using HeuristicLab.Random; 31 31 using HeuristicLab.Data; 32 using HeuristicLab.Operators; 32 33 33 34 namespace HeuristicLab.GP.StructureIdentification.Classification { … … 40 41 protected override IOperator CreateBestSolutionProcessor() { 41 42 IOperator seq = base.CreateBestSolutionProcessor(); 42 AccuracyEvaluator trainingAccuracy = new AccuracyEvaluator(); 43 trainingAccuracy.GetVariableInfo("Accuracy").ActualName = "TrainingAccuracy"; 44 trainingAccuracy.GetVariableInfo("SamplesStart").ActualName = "TrainingSamplesStart"; 45 trainingAccuracy.GetVariableInfo("SamplesEnd").ActualName = "TrainingSamplesEnd"; 43 seq.AddSubOperator(BestSolutionProcessor); 44 return seq; 45 } 46 46 47 AccuracyEvaluator validationAccuracy = new AccuracyEvaluator(); 48 validationAccuracy.GetVariableInfo("Accuracy").ActualName = "ValidationAccuracy"; 49 validationAccuracy.GetVariableInfo("SamplesStart").ActualName = "ValidationSamplesStart"; 50 validationAccuracy.GetVariableInfo("SamplesEnd").ActualName = "ValidationSamplesEnd"; 47 internal static IOperator BestSolutionProcessor { 48 get { 49 SequentialProcessor seq = new SequentialProcessor(); 50 AccuracyEvaluator trainingAccuracy = new AccuracyEvaluator(); 51 trainingAccuracy.GetVariableInfo("Accuracy").ActualName = "TrainingAccuracy"; 52 trainingAccuracy.GetVariableInfo("SamplesStart").ActualName = "TrainingSamplesStart"; 53 trainingAccuracy.GetVariableInfo("SamplesEnd").ActualName = "TrainingSamplesEnd"; 51 54 52 AccuracyEvaluator testAccuracy = new AccuracyEvaluator();53 testAccuracy.GetVariableInfo("Accuracy").ActualName = "TestAccuracy";54 testAccuracy.GetVariableInfo("SamplesStart").ActualName = "TestSamplesStart";55 testAccuracy.GetVariableInfo("SamplesEnd").ActualName = "TestSamplesEnd";55 AccuracyEvaluator validationAccuracy = new AccuracyEvaluator(); 56 validationAccuracy.GetVariableInfo("Accuracy").ActualName = "ValidationAccuracy"; 57 validationAccuracy.GetVariableInfo("SamplesStart").ActualName = "ValidationSamplesStart"; 58 validationAccuracy.GetVariableInfo("SamplesEnd").ActualName = "ValidationSamplesEnd"; 56 59 57 ConfusionMatrixEvaluator trainingConfusionMatrix = new ConfusionMatrixEvaluator();58 trainingConfusionMatrix.GetVariableInfo("ConfusionMatrix").ActualName = "TrainingConfusionMatrix";59 trainingConfusionMatrix.GetVariableInfo("SamplesStart").ActualName = "TrainingSamplesStart";60 trainingConfusionMatrix.GetVariableInfo("SamplesEnd").ActualName = "TrainingSamplesEnd";60 AccuracyEvaluator testAccuracy = new AccuracyEvaluator(); 61 testAccuracy.GetVariableInfo("Accuracy").ActualName = "TestAccuracy"; 62 testAccuracy.GetVariableInfo("SamplesStart").ActualName = "TestSamplesStart"; 63 testAccuracy.GetVariableInfo("SamplesEnd").ActualName = "TestSamplesEnd"; 61 64 62 ConfusionMatrixEvaluator validationConfusionMatrix = new ConfusionMatrixEvaluator();63 validationConfusionMatrix.GetVariableInfo("ConfusionMatrix").ActualName = "ValidationConfusionMatrix";64 validationConfusionMatrix.GetVariableInfo("SamplesStart").ActualName = "ValidationSamplesStart";65 validationConfusionMatrix.GetVariableInfo("SamplesEnd").ActualName = "ValidationSamplesEnd";65 ConfusionMatrixEvaluator trainingConfusionMatrix = new ConfusionMatrixEvaluator(); 66 trainingConfusionMatrix.GetVariableInfo("ConfusionMatrix").ActualName = "TrainingConfusionMatrix"; 67 trainingConfusionMatrix.GetVariableInfo("SamplesStart").ActualName = "TrainingSamplesStart"; 68 trainingConfusionMatrix.GetVariableInfo("SamplesEnd").ActualName = "TrainingSamplesEnd"; 66 69 67 ConfusionMatrixEvaluator testConfusionMatrix = new ConfusionMatrixEvaluator();68 testConfusionMatrix.GetVariableInfo("ConfusionMatrix").ActualName = "TestConfusionMatrix";69 testConfusionMatrix.GetVariableInfo("SamplesStart").ActualName = "TestSamplesStart";70 testConfusionMatrix.GetVariableInfo("SamplesEnd").ActualName = "TestSamplesEnd";70 ConfusionMatrixEvaluator validationConfusionMatrix = new ConfusionMatrixEvaluator(); 71 validationConfusionMatrix.GetVariableInfo("ConfusionMatrix").ActualName = "ValidationConfusionMatrix"; 72 validationConfusionMatrix.GetVariableInfo("SamplesStart").ActualName = "ValidationSamplesStart"; 73 validationConfusionMatrix.GetVariableInfo("SamplesEnd").ActualName = "ValidationSamplesEnd"; 71 74 72 seq.AddSubOperator(trainingAccuracy); 73 seq.AddSubOperator(validationAccuracy); 74 seq.AddSubOperator(testAccuracy); 75 seq.AddSubOperator(trainingConfusionMatrix); 76 seq.AddSubOperator(validationConfusionMatrix); 77 seq.AddSubOperator(testConfusionMatrix); 78 return seq; 75 ConfusionMatrixEvaluator testConfusionMatrix = new ConfusionMatrixEvaluator(); 76 testConfusionMatrix.GetVariableInfo("ConfusionMatrix").ActualName = "TestConfusionMatrix"; 77 testConfusionMatrix.GetVariableInfo("SamplesStart").ActualName = "TestSamplesStart"; 78 testConfusionMatrix.GetVariableInfo("SamplesEnd").ActualName = "TestSamplesEnd"; 79 80 seq.AddSubOperator(trainingAccuracy); 81 seq.AddSubOperator(validationAccuracy); 82 seq.AddSubOperator(testAccuracy); 83 seq.AddSubOperator(trainingConfusionMatrix); 84 seq.AddSubOperator(validationConfusionMatrix); 85 seq.AddSubOperator(testConfusionMatrix); 86 return seq; 87 } 79 88 } 80 89 } -
branches/CEDMA-Refactoring-Ticket419/HeuristicLab.GP.StructureIdentification.TimeSeries/OffspringSelectionGP.cs
r1253 r1254 56 56 protected override IOperator CreateBestSolutionProcessor() { 57 57 IOperator seq = base.CreateBestSolutionProcessor(); 58 TheilInequalityCoefficientEvaluator trainingTheil = new TheilInequalityCoefficientEvaluator(); 59 trainingTheil.GetVariableInfo("SamplesStart").ActualName = "TrainingSamplesStart"; 60 trainingTheil.GetVariableInfo("SamplesEnd").ActualName = "TrainingSamplesEnd"; 61 trainingTheil.GetVariableInfo("TheilInequalityCoefficient").ActualName = "TrainingTheilInequalityCoefficient"; 62 trainingTheil.GetVariableInfo("TheilInequalityCoefficientBias").ActualName = "TrainingTheilInequalityCoefficientBias"; 63 trainingTheil.GetVariableInfo("TheilInequalityCoefficientVariance").ActualName = "TrainingTheilInequalityCoefficientVariance"; 64 trainingTheil.GetVariableInfo("TheilInequalityCoefficientCovariance").ActualName = "TrainingTheilInequalityCoefficientCovariance"; 65 66 TheilInequalityCoefficientEvaluator validationTheil = new TheilInequalityCoefficientEvaluator(); 67 validationTheil.GetVariableInfo("SamplesStart").ActualName = "ValidationSamplesStart"; 68 validationTheil.GetVariableInfo("SamplesEnd").ActualName = "ValidationSamplesEnd"; 69 validationTheil.GetVariableInfo("TheilInequalityCoefficient").ActualName = "ValidationTheilInequalityCoefficient"; 70 validationTheil.GetVariableInfo("TheilInequalityCoefficientBias").ActualName = "ValidationTheilInequalityCoefficientBias"; 71 validationTheil.GetVariableInfo("TheilInequalityCoefficientVariance").ActualName = "ValidationTheilInequalityCoefficientVariance"; 72 validationTheil.GetVariableInfo("TheilInequalityCoefficientCovariance").ActualName = "ValidationTheilInequalityCoefficientCovariance"; 73 74 TheilInequalityCoefficientEvaluator testTheil = new TheilInequalityCoefficientEvaluator(); 75 testTheil.GetVariableInfo("SamplesStart").ActualName = "TestSamplesStart"; 76 testTheil.GetVariableInfo("SamplesEnd").ActualName = "TestSamplesEnd"; 77 testTheil.GetVariableInfo("TheilInequalityCoefficient").ActualName = "TestTheilInequalityCoefficient"; 78 testTheil.GetVariableInfo("TheilInequalityCoefficientBias").ActualName = "TestTheilInequalityCoefficientBias"; 79 testTheil.GetVariableInfo("TheilInequalityCoefficientVariance").ActualName = "TestTheilInequalityCoefficientVariance"; 80 testTheil.GetVariableInfo("TheilInequalityCoefficientCovariance").ActualName = "TestTheilInequalityCoefficientCovariance"; 81 82 SimpleEvaluator trainingEvaluator = new SimpleEvaluator(); 83 trainingEvaluator.GetVariableInfo("SamplesStart").ActualName = "TrainingSamplesStart"; 84 trainingEvaluator.GetVariableInfo("SamplesEnd").ActualName = "TrainingSamplesEnd"; 85 trainingEvaluator.GetVariableInfo("Values").ActualName = "PredictedValuesTraining"; 86 87 SimpleEvaluator validationEvaluator = new SimpleEvaluator(); 88 validationEvaluator.GetVariableInfo("SamplesStart").ActualName = "ValidationSamplesStart"; 89 validationEvaluator.GetVariableInfo("SamplesEnd").ActualName = "ValidationSamplesEnd"; 90 validationEvaluator.GetVariableInfo("Values").ActualName = "PredictedValuesValidation"; 91 92 SimpleEvaluator testEvaluator = new SimpleEvaluator(); 93 testEvaluator.GetVariableInfo("SamplesStart").ActualName = "TestSamplesStart"; 94 testEvaluator.GetVariableInfo("SamplesEnd").ActualName = "TestSamplesEnd"; 95 testEvaluator.GetVariableInfo("Values").ActualName = "PredictedValuesTest"; 96 97 LinechartInjector trainingChartInjector = new LinechartInjector(); 98 trainingChartInjector.GetVariableValue<IntData>("NumberOfLines", null, false).Data = 2; 99 trainingChartInjector.GetVariableInfo("Values").ActualName = "PredictedValuesTraining"; 100 trainingChartInjector.GetVariableInfo("Linechart").ActualName = "LinechartTrainingPredictedValues"; 101 102 LinechartInjector validationChartInjector = new LinechartInjector(); 103 validationChartInjector.GetVariableValue<IntData>("NumberOfLines", null, false).Data = 2; 104 validationChartInjector.GetVariableInfo("Values").ActualName = "PredictedValuesValidation"; 105 validationChartInjector.GetVariableInfo("Linechart").ActualName = "LinechartValidationPredictedValues"; 106 107 LinechartInjector testChartInjector = new LinechartInjector(); 108 testChartInjector.GetVariableValue<IntData>("NumberOfLines", null, false).Data = 2; 109 testChartInjector.GetVariableInfo("Values").ActualName = "PredictedValuesTest"; 110 testChartInjector.GetVariableInfo("Linechart").ActualName = "LinechartTestPredictedValues"; 111 112 seq.AddSubOperator(trainingTheil); 113 seq.AddSubOperator(validationTheil); 114 seq.AddSubOperator(testTheil); 115 seq.AddSubOperator(trainingEvaluator); 116 seq.AddSubOperator(trainingChartInjector); 117 seq.AddSubOperator(validationEvaluator); 118 seq.AddSubOperator(validationChartInjector); 119 seq.AddSubOperator(testEvaluator); 120 seq.AddSubOperator(testChartInjector); 121 58 seq.AddSubOperator(StandardGP.BestSolutionProcessor); 122 59 return seq; 123 60 } -
branches/CEDMA-Refactoring-Ticket419/HeuristicLab.GP.StructureIdentification.TimeSeries/StandardGP.cs
r1253 r1254 56 56 protected override IOperator CreateBestSolutionProcessor() { 57 57 IOperator seq = base.CreateBestSolutionProcessor(); 58 TheilInequalityCoefficientEvaluator trainingTheil = new TheilInequalityCoefficientEvaluator(); 59 trainingTheil.GetVariableInfo("SamplesStart").ActualName = "TrainingSamplesStart"; 60 trainingTheil.GetVariableInfo("SamplesEnd").ActualName = "TrainingSamplesEnd"; 61 trainingTheil.GetVariableInfo("TheilInequalityCoefficient").ActualName = "TrainingTheilInequalityCoefficient"; 62 trainingTheil.GetVariableInfo("TheilInequalityCoefficientBias").ActualName = "TrainingTheilInequalityCoefficientBias"; 63 trainingTheil.GetVariableInfo("TheilInequalityCoefficientVariance").ActualName = "TrainingTheilInequalityCoefficientVariance"; 64 trainingTheil.GetVariableInfo("TheilInequalityCoefficientCovariance").ActualName = "TrainingTheilInequalityCoefficientCovariance"; 65 66 TheilInequalityCoefficientEvaluator validationTheil = new TheilInequalityCoefficientEvaluator(); 67 validationTheil.GetVariableInfo("SamplesStart").ActualName = "ValidationSamplesStart"; 68 validationTheil.GetVariableInfo("SamplesEnd").ActualName = "ValidationSamplesEnd"; 69 validationTheil.GetVariableInfo("TheilInequalityCoefficient").ActualName = "ValidationTheilInequalityCoefficient"; 70 validationTheil.GetVariableInfo("TheilInequalityCoefficientBias").ActualName = "ValidationTheilInequalityCoefficientBias"; 71 validationTheil.GetVariableInfo("TheilInequalityCoefficientVariance").ActualName = "ValidationTheilInequalityCoefficientVariance"; 72 validationTheil.GetVariableInfo("TheilInequalityCoefficientCovariance").ActualName = "ValidationTheilInequalityCoefficientCovariance"; 73 74 TheilInequalityCoefficientEvaluator testTheil = new TheilInequalityCoefficientEvaluator(); 75 testTheil.GetVariableInfo("SamplesStart").ActualName = "TestSamplesStart"; 76 testTheil.GetVariableInfo("SamplesEnd").ActualName = "TestSamplesEnd"; 77 testTheil.GetVariableInfo("TheilInequalityCoefficient").ActualName = "TestTheilInequalityCoefficient"; 78 testTheil.GetVariableInfo("TheilInequalityCoefficientBias").ActualName = "TestTheilInequalityCoefficientBias"; 79 testTheil.GetVariableInfo("TheilInequalityCoefficientVariance").ActualName = "TestTheilInequalityCoefficientVariance"; 80 testTheil.GetVariableInfo("TheilInequalityCoefficientCovariance").ActualName = "TestTheilInequalityCoefficientCovariance"; 81 82 SimpleEvaluator trainingEvaluator = new SimpleEvaluator(); 83 trainingEvaluator.GetVariableInfo("SamplesStart").ActualName = "TrainingSamplesStart"; 84 trainingEvaluator.GetVariableInfo("SamplesEnd").ActualName = "TrainingSamplesEnd"; 85 trainingEvaluator.GetVariableInfo("Values").ActualName = "PredictedValuesTraining"; 86 87 SimpleEvaluator validationEvaluator = new SimpleEvaluator(); 88 validationEvaluator.GetVariableInfo("SamplesStart").ActualName = "ValidationSamplesStart"; 89 validationEvaluator.GetVariableInfo("SamplesEnd").ActualName = "ValidationSamplesEnd"; 90 validationEvaluator.GetVariableInfo("Values").ActualName = "PredictedValuesValidation"; 91 92 SimpleEvaluator testEvaluator = new SimpleEvaluator(); 93 testEvaluator.GetVariableInfo("SamplesStart").ActualName = "TestSamplesStart"; 94 testEvaluator.GetVariableInfo("SamplesEnd").ActualName = "TestSamplesEnd"; 95 testEvaluator.GetVariableInfo("Values").ActualName = "PredictedValuesTest"; 96 97 LinechartInjector trainingChartInjector = new LinechartInjector(); 98 trainingChartInjector.GetVariableValue<IntData>("NumberOfLines", null, false).Data = 2; 99 trainingChartInjector.GetVariableInfo("Values").ActualName = "PredictedValuesTraining"; 100 trainingChartInjector.GetVariableInfo("Linechart").ActualName = "LinechartTrainingPredictedValues"; 101 102 LinechartInjector validationChartInjector = new LinechartInjector(); 103 validationChartInjector.GetVariableValue<IntData>("NumberOfLines", null, false).Data = 2; 104 validationChartInjector.GetVariableInfo("Values").ActualName = "PredictedValuesValidation"; 105 validationChartInjector.GetVariableInfo("Linechart").ActualName = "LinechartValidationPredictedValues"; 106 107 LinechartInjector testChartInjector = new LinechartInjector(); 108 testChartInjector.GetVariableValue<IntData>("NumberOfLines", null, false).Data = 2; 109 testChartInjector.GetVariableInfo("Values").ActualName = "PredictedValuesTest"; 110 testChartInjector.GetVariableInfo("Linechart").ActualName = "LinechartTestPredictedValues"; 111 112 seq.AddSubOperator(trainingTheil); 113 seq.AddSubOperator(validationTheil); 114 seq.AddSubOperator(testTheil); 115 seq.AddSubOperator(trainingEvaluator); 116 seq.AddSubOperator(trainingChartInjector); 117 seq.AddSubOperator(validationEvaluator); 118 seq.AddSubOperator(validationChartInjector); 119 seq.AddSubOperator(testEvaluator); 120 seq.AddSubOperator(testChartInjector); 121 58 seq.AddSubOperator(BestSolutionProcessor); 122 59 return seq; 123 60 } … … 130 67 return new StandardGpEditor(this); 131 68 } 69 70 internal static IOperator BestSolutionProcessor { 71 get { 72 SequentialProcessor seq = new SequentialProcessor(); 73 TheilInequalityCoefficientEvaluator trainingTheil = new TheilInequalityCoefficientEvaluator(); 74 trainingTheil.GetVariableInfo("SamplesStart").ActualName = "TrainingSamplesStart"; 75 trainingTheil.GetVariableInfo("SamplesEnd").ActualName = "TrainingSamplesEnd"; 76 trainingTheil.GetVariableInfo("TheilInequalityCoefficient").ActualName = "TrainingTheilInequalityCoefficient"; 77 trainingTheil.GetVariableInfo("TheilInequalityCoefficientBias").ActualName = "TrainingTheilInequalityCoefficientBias"; 78 trainingTheil.GetVariableInfo("TheilInequalityCoefficientVariance").ActualName = "TrainingTheilInequalityCoefficientVariance"; 79 trainingTheil.GetVariableInfo("TheilInequalityCoefficientCovariance").ActualName = "TrainingTheilInequalityCoefficientCovariance"; 80 81 TheilInequalityCoefficientEvaluator validationTheil = new TheilInequalityCoefficientEvaluator(); 82 validationTheil.GetVariableInfo("SamplesStart").ActualName = "ValidationSamplesStart"; 83 validationTheil.GetVariableInfo("SamplesEnd").ActualName = "ValidationSamplesEnd"; 84 validationTheil.GetVariableInfo("TheilInequalityCoefficient").ActualName = "ValidationTheilInequalityCoefficient"; 85 validationTheil.GetVariableInfo("TheilInequalityCoefficientBias").ActualName = "ValidationTheilInequalityCoefficientBias"; 86 validationTheil.GetVariableInfo("TheilInequalityCoefficientVariance").ActualName = "ValidationTheilInequalityCoefficientVariance"; 87 validationTheil.GetVariableInfo("TheilInequalityCoefficientCovariance").ActualName = "ValidationTheilInequalityCoefficientCovariance"; 88 89 TheilInequalityCoefficientEvaluator testTheil = new TheilInequalityCoefficientEvaluator(); 90 testTheil.GetVariableInfo("SamplesStart").ActualName = "TestSamplesStart"; 91 testTheil.GetVariableInfo("SamplesEnd").ActualName = "TestSamplesEnd"; 92 testTheil.GetVariableInfo("TheilInequalityCoefficient").ActualName = "TestTheilInequalityCoefficient"; 93 testTheil.GetVariableInfo("TheilInequalityCoefficientBias").ActualName = "TestTheilInequalityCoefficientBias"; 94 testTheil.GetVariableInfo("TheilInequalityCoefficientVariance").ActualName = "TestTheilInequalityCoefficientVariance"; 95 testTheil.GetVariableInfo("TheilInequalityCoefficientCovariance").ActualName = "TestTheilInequalityCoefficientCovariance"; 96 97 SimpleEvaluator trainingEvaluator = new SimpleEvaluator(); 98 trainingEvaluator.GetVariableInfo("SamplesStart").ActualName = "TrainingSamplesStart"; 99 trainingEvaluator.GetVariableInfo("SamplesEnd").ActualName = "TrainingSamplesEnd"; 100 trainingEvaluator.GetVariableInfo("Values").ActualName = "PredictedValuesTraining"; 101 102 SimpleEvaluator validationEvaluator = new SimpleEvaluator(); 103 validationEvaluator.GetVariableInfo("SamplesStart").ActualName = "ValidationSamplesStart"; 104 validationEvaluator.GetVariableInfo("SamplesEnd").ActualName = "ValidationSamplesEnd"; 105 validationEvaluator.GetVariableInfo("Values").ActualName = "PredictedValuesValidation"; 106 107 SimpleEvaluator testEvaluator = new SimpleEvaluator(); 108 testEvaluator.GetVariableInfo("SamplesStart").ActualName = "TestSamplesStart"; 109 testEvaluator.GetVariableInfo("SamplesEnd").ActualName = "TestSamplesEnd"; 110 testEvaluator.GetVariableInfo("Values").ActualName = "PredictedValuesTest"; 111 112 LinechartInjector trainingChartInjector = new LinechartInjector(); 113 trainingChartInjector.GetVariableValue<IntData>("NumberOfLines", null, false).Data = 2; 114 trainingChartInjector.GetVariableInfo("Values").ActualName = "PredictedValuesTraining"; 115 trainingChartInjector.GetVariableInfo("Linechart").ActualName = "LinechartTrainingPredictedValues"; 116 117 LinechartInjector validationChartInjector = new LinechartInjector(); 118 validationChartInjector.GetVariableValue<IntData>("NumberOfLines", null, false).Data = 2; 119 validationChartInjector.GetVariableInfo("Values").ActualName = "PredictedValuesValidation"; 120 validationChartInjector.GetVariableInfo("Linechart").ActualName = "LinechartValidationPredictedValues"; 121 122 LinechartInjector testChartInjector = new LinechartInjector(); 123 testChartInjector.GetVariableValue<IntData>("NumberOfLines", null, false).Data = 2; 124 testChartInjector.GetVariableInfo("Values").ActualName = "PredictedValuesTest"; 125 testChartInjector.GetVariableInfo("Linechart").ActualName = "LinechartTestPredictedValues"; 126 127 seq.AddSubOperator(trainingTheil); 128 seq.AddSubOperator(validationTheil); 129 seq.AddSubOperator(testTheil); 130 seq.AddSubOperator(trainingEvaluator); 131 seq.AddSubOperator(trainingChartInjector); 132 seq.AddSubOperator(validationEvaluator); 133 seq.AddSubOperator(validationChartInjector); 134 seq.AddSubOperator(testEvaluator); 135 seq.AddSubOperator(testChartInjector); 136 137 return seq; 138 } 139 } 132 140 } 133 141 }
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