Changeset 1275 for branches/CEDMA-Refactoring-Ticket419
- Timestamp:
- 03/06/09 14:41:27 (16 years ago)
- Location:
- branches/CEDMA-Refactoring-Ticket419
- Files:
-
- 5 edited
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HeuristicLab.CEDMA.DB.Interfaces/Ontology.cs (modified) (4 diffs)
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HeuristicLab.CEDMA.Server/DispatcherBase.cs (modified) (10 diffs)
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HeuristicLab.CEDMA.Server/Executer.cs (modified) (2 diffs)
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HeuristicLab.GP.StructureIdentification/AlgorithmBase.cs (modified) (1 diff)
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HeuristicLab.GP.StructureIdentification/StandardGP.cs (modified) (7 diffs)
Legend:
- Unmodified
- Added
- Removed
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branches/CEDMA-Refactoring-Ticket419/HeuristicLab.CEDMA.DB.Interfaces/Ontology.cs
r1130 r1275 116 116 get { return new Entity(CedmaNameSpace + "ValidationMeanSquaredError"); } 117 117 } 118 public static Entity TestMeanSquaredError { 119 get { return new Entity(CedmaNameSpace + "TestMeanSquaredError"); } 120 } 118 121 public static Entity TrainingMeanAbsolutePercentageError { 119 122 get { return new Entity(CedmaNameSpace + "TrainingMeanAbsolutePercentageError"); } … … 121 124 public static Entity ValidationMeanAbsolutePercentageError { 122 125 get { return new Entity(CedmaNameSpace + "ValidationMeanAbsolutePercentageError"); } 126 } 127 public static Entity TestMeanAbsolutePercentageError { 128 get { return new Entity(CedmaNameSpace + "TestMeanAbsolutePercentageError"); } 129 } 130 public static Entity TrainingMeanAbsolutePercentageOfRangeError { 131 get { return new Entity(CedmaNameSpace + "TrainingMeanAbsolutePercentageOfRangeError"); } 132 } 133 public static Entity ValidationMeanAbsolutePercentageOfRangeError { 134 get { return new Entity(CedmaNameSpace + "ValidationMeanAbsolutePercentageOfRangeError"); } 135 } 136 public static Entity TestMeanAbsolutePercentageOfRangeError { 137 get { return new Entity(CedmaNameSpace + "TestMeanAbsolutePercentageOfRangeError"); } 138 } 139 public static Entity TrainingCoefficientOfDetermination { 140 get { return new Entity(CedmaNameSpace + "TrainingCoefficientOfDetermination"); } 141 } 142 public static Entity ValidationCoefficientOfDetermination { 143 get { return new Entity(CedmaNameSpace + "ValidationCoefficientOfDetermination"); } 144 } 145 public static Entity TestCoefficientOfDetermination { 146 get { return new Entity(CedmaNameSpace + "TestCoefficientOfDetermination"); } 147 } 148 public static Entity TrainingAccuracy { 149 get { return new Entity(CedmaNameSpace + "TrainingAccuracy"); } 150 } 151 public static Entity ValidationAccuracy { 152 get { return new Entity(CedmaNameSpace + "ValidationAccuracy"); } 153 } 154 public static Entity TestAccuracy { 155 get { return new Entity(CedmaNameSpace + "TestAccuracy"); } 156 } 157 public static Entity TrainingTheilsInequalityCoefficient { 158 get { return new Entity(CedmaNameSpace + "TrainingTheilsInequalityCoefficient"); } 159 } 160 public static Entity ValidationTheilsInequalityCoefficient { 161 get { return new Entity(CedmaNameSpace + "ValidationTheilsInequalityCoefficient"); } 162 } 163 public static Entity TestTheilsInequalityCoefficient { 164 get { return new Entity(CedmaNameSpace + "TestTheilsInequalityCoefficient"); } 123 165 } 124 166 public static Entity TreeSize { … … 141 183 new Statement(ValidationMeanSquaredError, PredicateInstanceOf, TypeOrdinalAttribute), 142 184 new Statement(ValidationMeanSquaredError, PredicateInstanceOf, TypeQualityAttribute), 185 new Statement(TestMeanSquaredError, PredicateInstanceOf, TypeOrdinalAttribute), 186 new Statement(TestMeanSquaredError, PredicateInstanceOf, TypeQualityAttribute), 143 187 new Statement(TrainingMeanAbsolutePercentageError, PredicateInstanceOf, TypeOrdinalAttribute), 144 188 new Statement(TrainingMeanAbsolutePercentageError, PredicateInstanceOf, TypeQualityAttribute), 145 189 new Statement(ValidationMeanAbsolutePercentageError, PredicateInstanceOf, TypeOrdinalAttribute), 146 190 new Statement(ValidationMeanAbsolutePercentageError, PredicateInstanceOf, TypeQualityAttribute), 191 new Statement(TestMeanAbsolutePercentageError, PredicateInstanceOf, TypeOrdinalAttribute), 192 new Statement(TestMeanAbsolutePercentageError, PredicateInstanceOf, TypeQualityAttribute), 193 new Statement(TrainingMeanAbsolutePercentageOfRangeError, PredicateInstanceOf, TypeOrdinalAttribute), 194 new Statement(TrainingMeanAbsolutePercentageOfRangeError, PredicateInstanceOf, TypeQualityAttribute), 195 new Statement(ValidationMeanAbsolutePercentageOfRangeError, PredicateInstanceOf, TypeOrdinalAttribute), 196 new Statement(ValidationMeanAbsolutePercentageOfRangeError, PredicateInstanceOf, TypeQualityAttribute), 197 new Statement(TestMeanAbsolutePercentageOfRangeError, PredicateInstanceOf, TypeOrdinalAttribute), 198 new Statement(TestMeanAbsolutePercentageOfRangeError, PredicateInstanceOf, TypeQualityAttribute), 199 new Statement(TrainingCoefficientOfDetermination, PredicateInstanceOf, TypeOrdinalAttribute), 200 new Statement(TrainingCoefficientOfDetermination, PredicateInstanceOf, TypeQualityAttribute), 201 new Statement(ValidationCoefficientOfDetermination, PredicateInstanceOf, TypeOrdinalAttribute), 202 new Statement(ValidationCoefficientOfDetermination, PredicateInstanceOf, TypeQualityAttribute), 203 new Statement(TestCoefficientOfDetermination, PredicateInstanceOf, TypeOrdinalAttribute), 204 new Statement(TestCoefficientOfDetermination, PredicateInstanceOf, TypeQualityAttribute), 205 new Statement(TrainingAccuracy, PredicateInstanceOf, TypeOrdinalAttribute), 206 new Statement(TrainingAccuracy, PredicateInstanceOf, TypeQualityAttribute), 207 new Statement(ValidationAccuracy, PredicateInstanceOf, TypeOrdinalAttribute), 208 new Statement(ValidationAccuracy, PredicateInstanceOf, TypeQualityAttribute), 209 new Statement(TestAccuracy, PredicateInstanceOf, TypeOrdinalAttribute), 210 new Statement(TestAccuracy, PredicateInstanceOf, TypeQualityAttribute), 211 new Statement(TrainingTheilsInequalityCoefficient, PredicateInstanceOf, TypeOrdinalAttribute), 212 new Statement(TrainingTheilsInequalityCoefficient, PredicateInstanceOf, TypeQualityAttribute), 213 new Statement(ValidationTheilsInequalityCoefficient, PredicateInstanceOf, TypeOrdinalAttribute), 214 new Statement(ValidationTheilsInequalityCoefficient, PredicateInstanceOf, TypeQualityAttribute), 215 new Statement(TestTheilsInequalityCoefficient, PredicateInstanceOf, TypeOrdinalAttribute), 216 new Statement(TestTheilsInequalityCoefficient, PredicateInstanceOf, TypeQualityAttribute), 217 147 218 new Statement(TreeSize, PredicateInstanceOf, TypeOrdinalAttribute), 148 219 new Statement(TreeSize, PredicateInstanceOf, TypeComplexityAttribute), … … 161 232 get { return new Entity(null); } 162 233 } 163 164 234 } 165 235 } -
branches/CEDMA-Refactoring-Ticket419/HeuristicLab.CEDMA.Server/DispatcherBase.cs
r1266 r1275 49 49 }; 50 50 51 private static int MaxGenerations { 52 get { return 3; } 53 } 54 55 private static int MaxEvaluatedSolutions { 56 get { return 3000; } 57 } 58 51 59 public DispatcherBase(IStore store) { 52 60 this.store = store; … … 70 78 DataSet dataSet = new DataSet(store, dataSetEntity); 71 79 72 int targetVariable = SelectTargetVariable(dataSet, dataSet.Problem.Allowed InputVariables.ToArray());80 int targetVariable = SelectTargetVariable(dataSet, dataSet.Problem.AllowedTargetVariables.ToArray()); 73 81 Algorithm selectedAlgorithm = SelectAlgorithm(dataSet, targetVariable, possibleAlgorithms[dataSet.Problem.LearningTask]); 74 82 string targetVariableName = dataSet.Problem.GetVariableName(targetVariable); … … 92 100 case Algorithm.StandardGpRegression: { 93 101 var algo = new HeuristicLab.GP.StructureIdentification.StandardGP(); 94 SetGpParameters(algo, complexity); 95 SetProblemParameters(algo, problem, targetVariable); 96 algo.MaxGenerations = 2; 102 SetComplexityParameters(algo, complexity); 103 SetProblemParameters(algo, problem, targetVariable); 104 algo.PopulationSize = 10000; 105 algo.MaxGenerations = MaxGenerations; 97 106 Execution exec = new Execution(algo.Engine); 98 107 exec.Description = "StandardGP - Complexity: " + complexity; … … 101 110 case Algorithm.OffspringGpRegression: { 102 111 var algo = new HeuristicLab.GP.StructureIdentification.OffspringSelectionGP(); 103 Set GpParameters(algo, complexity);104 SetProblemParameters(algo, problem, targetVariable); 105 algo.MaxEvaluatedSolutions = 10000;112 SetComplexityParameters(algo, complexity); 113 SetProblemParameters(algo, problem, targetVariable); 114 algo.MaxEvaluatedSolutions = MaxEvaluatedSolutions; 106 115 Execution exec = new Execution(algo.Engine); 107 116 exec.Description = "OffspringGP - Complexity: " + complexity; … … 110 119 case Algorithm.StandardGpClassification: { 111 120 var algo = new HeuristicLab.GP.StructureIdentification.Classification.StandardGP(); 112 SetGpParameters(algo, complexity); 113 SetProblemParameters(algo, problem, targetVariable); 114 algo.MaxGenerations = 2; 121 SetComplexityParameters(algo, complexity); 122 SetProblemParameters(algo, problem, targetVariable); 123 algo.PopulationSize = 10000; 124 algo.MaxGenerations = MaxGenerations; 115 125 Execution exec = new Execution(algo.Engine); 116 126 exec.Description = "StandardGP - Complexity: " + complexity; … … 119 129 case Algorithm.OffspringGpClassification: { 120 130 var algo = new HeuristicLab.GP.StructureIdentification.Classification.OffspringSelectionGP(); 121 Set GpParameters(algo, complexity);122 SetProblemParameters(algo, problem, targetVariable); 123 algo.MaxEvaluatedSolutions = 10000;131 SetComplexityParameters(algo, complexity); 132 SetProblemParameters(algo, problem, targetVariable); 133 algo.MaxEvaluatedSolutions = MaxEvaluatedSolutions; 124 134 Execution exec = new Execution(algo.Engine); 125 135 exec.Description = "OffspringGP - Complexity: " + complexity; … … 128 138 case Algorithm.StandardGpForecasting: { 129 139 var algo = new HeuristicLab.GP.StructureIdentification.TimeSeries.StandardGP(); 130 SetGpParameters(algo, complexity); 131 SetProblemParameters(algo, problem, targetVariable); 132 algo.MaxGenerations = 2; 140 SetComplexityParameters(algo, complexity); 141 SetProblemParameters(algo, problem, targetVariable); 142 algo.PopulationSize = 10000; 143 algo.MaxGenerations = MaxGenerations; 133 144 Execution exec = new Execution(algo.Engine); 134 145 exec.Description = "StandardGP - Complexity: " + complexity; … … 137 148 case Algorithm.OffspringGpForecasting: { 138 149 var algo = new HeuristicLab.GP.StructureIdentification.TimeSeries.OffspringSelectionGP(); 139 Set GpParameters(algo, complexity);140 SetProblemParameters(algo, problem, targetVariable); 141 algo.MaxEvaluatedSolutions = 10000;150 SetComplexityParameters(algo, complexity); 151 SetProblemParameters(algo, problem, targetVariable); 152 algo.MaxEvaluatedSolutions = MaxEvaluatedSolutions; 142 153 Execution exec = new Execution(algo.Engine); 143 154 exec.Description = "OffspringGP - Complexity: " + complexity; … … 150 161 } 151 162 152 private void SetGpParameters(AlgorithmBase algo, ModelComplexity complexity) { 153 algo.SetSeedRandomly = true; 154 algo.PopulationSize = 1000; 155 algo.Elites = 1; 163 private void SetComplexityParameters(AlgorithmBase algo, ModelComplexity complexity) { 156 164 switch (complexity) { 157 165 case ModelComplexity.Low: { … … 196 204 197 205 private IEnumerable<double> GetDifferentClassValues(HeuristicLab.DataAnalysis.Dataset dataset, int targetVariable) { 198 throw new NotImplementedException();206 return Enumerable.Range(0, dataset.Rows).Select(x => dataset.GetValue(x, targetVariable)).Distinct(); 199 207 } 200 208 } -
branches/CEDMA-Refactoring-Ticket419/HeuristicLab.CEDMA.Server/Executer.cs
r1217 r1275 133 133 StoreModelAttribute(model, Ontology.TargetVariable, finishedExecution.TargetVariable); 134 134 Scope bestModelScope = finishedEngine.GlobalScope.GetVariableValue<Scope>("BestValidationSolution", false); 135 StoreModelAttribute(model, Ontology.TrainingMeanSquaredError, bestModelScope.GetVariableValue<DoubleData>("Quality", false).Data); 136 StoreModelAttribute(model, Ontology.ValidationMeanSquaredError, bestModelScope.GetVariableValue<DoubleData>("ValidationQuality", false).Data); 137 StoreModelAttribute(model, Ontology.TrainingMeanAbsolutePercentageError, bestModelScope.GetVariableValue<DoubleData>("TrainingMAPE", false).Data); 138 StoreModelAttribute(model, Ontology.ValidationMeanAbsolutePercentageError, bestModelScope.GetVariableValue<DoubleData>("ValidationMAPE", false).Data); 139 StoreModelAttribute(model, Ontology.TreeSize, bestModelScope.GetVariableValue<IntData>("TreeSize", false).Data); 140 StoreModelAttribute(model, Ontology.TreeHeight, bestModelScope.GetVariableValue<IntData>("TreeHeight", false).Data); 141 StoreModelAttribute(model, Ontology.EvaluatedSolutions, bestModelScope.GetVariableValue<IntData>("EvaluatedSolutions", false).Data); 135 StoreModelVariable(model, Ontology.TrainingMeanSquaredError, bestModelScope, "Quality"); 136 StoreModelVariable(model, Ontology.ValidationMeanSquaredError, bestModelScope, "ValidationQuality"); 137 StoreModelVariable(model, Ontology.TestMeanSquaredError, bestModelScope, "TestQuality"); 138 StoreModelVariable(model, Ontology.TrainingMeanAbsolutePercentageError, bestModelScope, "TrainingMAPE"); 139 StoreModelVariable(model, Ontology.ValidationMeanAbsolutePercentageError, bestModelScope, "ValidationMAPE"); 140 StoreModelVariable(model, Ontology.TestMeanAbsolutePercentageError, bestModelScope, "TestMAPE"); 141 StoreModelVariable(model, Ontology.TrainingMeanAbsolutePercentageOfRangeError, bestModelScope, "TrainingMAPRE"); 142 StoreModelVariable(model, Ontology.ValidationMeanAbsolutePercentageOfRangeError, bestModelScope, "ValidationMAPRE"); 143 StoreModelVariable(model, Ontology.TestMeanAbsolutePercentageOfRangeError, bestModelScope, "TestMAPRE"); 144 StoreModelVariable(model, Ontology.TrainingCoefficientOfDetermination, bestModelScope, "TrainingR2"); 145 StoreModelVariable(model, Ontology.ValidationCoefficientOfDetermination, bestModelScope, "ValidationR2"); 146 StoreModelVariable(model, Ontology.TestCoefficientOfDetermination, bestModelScope, "TestR2"); 147 StoreModelVariable(model, Ontology.TrainingTheilsInequalityCoefficient, bestModelScope, "TrainingTheilInequalityCoefficient"); 148 StoreModelVariable(model, Ontology.ValidationTheilsInequalityCoefficient, bestModelScope, "ValidationTheilInequalityCoefficient"); 149 StoreModelVariable(model, Ontology.TestTheilsInequalityCoefficient, bestModelScope, "TestTheilInequalityCoefficient"); 150 StoreModelVariable(model, Ontology.TrainingAccuracy, bestModelScope, "TrainingAccuracy"); 151 StoreModelVariable(model, Ontology.ValidationAccuracy, bestModelScope, "ValidationAccuracy"); 152 StoreModelVariable(model, Ontology.TestAccuracy, bestModelScope, "TestAccuracy"); 153 StoreModelVariable(model, Ontology.TreeSize, bestModelScope, "TreeSize"); 154 StoreModelVariable(model, Ontology.TreeHeight, bestModelScope, "TreeHeight"); 155 StoreModelVariable(model, Ontology.EvaluatedSolutions, bestModelScope, "EvaluatedSolutions"); 142 156 143 157 byte[] serializedModel = PersistenceManager.SaveToGZip(bestModelScope.GetVariableValue("FunctionTree", false)); 144 158 store.Add(new Statement(model, Ontology.PredicateSerializedData, new Literal(Convert.ToBase64String(serializedModel)))); 159 } 160 161 private void StoreModelVariable(Entity model, Entity entity, Scope scope, string variableName) { 162 if (scope.GetVariable(variableName) != null) 163 StoreModelAttribute(model, entity, scope.GetVariableValue<ObjectData>(variableName, false).Data); 145 164 } 146 165 … … 154 173 int i = 0; 155 174 foreach (Execution e in activeExecutions.Values) { 156 retVal[i++] = "Target-Variable: " +e.TargetVariable+" "+e.Description;175 retVal[i++] = "Target-Variable: " + e.TargetVariable + " " + e.Description; 157 176 } 158 177 return retVal; -
branches/CEDMA-Refactoring-Ticket419/HeuristicLab.GP.StructureIdentification/AlgorithmBase.cs
r1262 r1275 108 108 engine.OperatorGraph.AddOperator(algo); 109 109 engine.OperatorGraph.InitialOperator = algo; 110 SetSeedRandomly = true; 111 Elites = 1; 112 MutationRate = 0.15; 113 PopulationSize = 1000; 114 MaxTreeSize = 100; 115 MaxTreeHeight = 10; 116 Parents = 2000; 117 PunishmentFactor = 10; 118 UseEstimatedTargetValue = false; 110 119 } 111 120 -
branches/CEDMA-Refactoring-Ticket419/HeuristicLab.GP.StructureIdentification/StandardGP.cs
r1262 r1275 58 58 } 59 59 60 public int MinInitialTreeSize { 61 get { return GetVariableInjector().GetVariable("MinInitialTreeSize").GetValue<IntData>().Data; } 62 set { GetVariableInjector().GetVariable("MinInitialTreeSize").GetValue<IntData>().Data = value; } 63 } 64 65 public override int MaxTreeSize { 66 get { 67 return base.MaxTreeSize; 68 } 69 set { 70 base.MaxTreeSize = value; 71 MinInitialTreeSize = value / 2; 72 } 73 } 74 60 75 public override int PopulationSize { 61 76 get { … … 104 119 globalInjector.AddVariable(new HeuristicLab.Core.Variable("FullTreeShakingFactor", new DoubleData())); 105 120 globalInjector.AddVariable(new HeuristicLab.Core.Variable("OnePointShakingFactor", new DoubleData())); 121 globalInjector.AddVariable(new HeuristicLab.Core.Variable("MinInitialTreeSize", new IntData())); 106 122 return globalInjector; 107 123 } … … 118 134 treeCreator.Name = "Tree generator"; 119 135 treeCreator.GetVariableInfo("OperatorLibrary").ActualName = "FunctionLibrary"; 120 treeCreator.GetVariableInfo("MinTreeSize").Local = true; 121 treeCreator.AddVariable(new HeuristicLab.Core.Variable("MinTreeSize", new IntData(30))); 136 treeCreator.GetVariableInfo("MinTreeSize").ActualName = "MinInitialTreeSize"; 122 137 return treeCreator; 123 138 } … … 169 184 protected internal override IOperator CreateBestSolutionProcessor() { 170 185 SequentialProcessor bestSolutionProcessor = new SequentialProcessor(); 186 MeanSquaredErrorEvaluator testMseEvaluator = new MeanSquaredErrorEvaluator(); 187 testMseEvaluator.Name = "TestMeanSquaredErrorEvaluator"; 188 testMseEvaluator.GetVariableInfo("MSE").ActualName = "TestQuality"; 189 testMseEvaluator.GetVariableInfo("SamplesStart").ActualName = "TestSamplesStart"; 190 testMseEvaluator.GetVariableInfo("SamplesEnd").ActualName = "TestSamplesEnd"; 171 191 MeanAbsolutePercentageErrorEvaluator trainingMapeEvaluator = new MeanAbsolutePercentageErrorEvaluator(); 172 192 trainingMapeEvaluator.Name = "TrainingMapeEvaluator"; … … 179 199 validationMapeEvaluator.GetVariableInfo("SamplesStart").ActualName = "ValidationSamplesStart"; 180 200 validationMapeEvaluator.GetVariableInfo("SamplesEnd").ActualName = "ValidationSamplesEnd"; 201 MeanAbsolutePercentageErrorEvaluator testMapeEvaluator = new MeanAbsolutePercentageErrorEvaluator(); 202 testMapeEvaluator.Name = "TestMapeEvaluator"; 203 testMapeEvaluator.GetVariableInfo("MAPE").ActualName = "TestMAPE"; 204 testMapeEvaluator.GetVariableInfo("SamplesStart").ActualName = "TestSamplesStart"; 205 testMapeEvaluator.GetVariableInfo("SamplesEnd").ActualName = "TestSamplesEnd"; 181 206 MeanAbsolutePercentageOfRangeErrorEvaluator trainingMapreEvaluator = new MeanAbsolutePercentageOfRangeErrorEvaluator(); 182 207 trainingMapreEvaluator.Name = "TrainingMapreEvaluator"; … … 189 214 validationMapreEvaluator.GetVariableInfo("SamplesStart").ActualName = "ValidationSamplesStart"; 190 215 validationMapreEvaluator.GetVariableInfo("SamplesEnd").ActualName = "ValidationSamplesEnd"; 216 MeanAbsolutePercentageOfRangeErrorEvaluator testMapreEvaluator = new MeanAbsolutePercentageOfRangeErrorEvaluator(); 217 testMapreEvaluator.Name = "TestMapreEvaluator"; 218 testMapreEvaluator.GetVariableInfo("MAPRE").ActualName = "TestMAPRE"; 219 testMapreEvaluator.GetVariableInfo("SamplesStart").ActualName = "TestSamplesStart"; 220 testMapreEvaluator.GetVariableInfo("SamplesEnd").ActualName = "TestSamplesEnd"; 221 CoefficientOfDeterminationEvaluator trainingR2Evaluator = new CoefficientOfDeterminationEvaluator(); 222 trainingR2Evaluator.Name = "TrainingR2Evaluator"; 223 trainingR2Evaluator.GetVariableInfo("R2").ActualName = "TrainingR2"; 224 trainingR2Evaluator.GetVariableInfo("SamplesStart").ActualName = "TrainingSamplesStart"; 225 trainingR2Evaluator.GetVariableInfo("SamplesEnd").ActualName = "TrainingSamplesEnd"; 226 CoefficientOfDeterminationEvaluator validationR2Evaluator = new CoefficientOfDeterminationEvaluator(); 227 validationR2Evaluator.Name = "ValidationR2Evaluator"; 228 validationR2Evaluator.GetVariableInfo("R2").ActualName = "ValidationR2"; 229 validationR2Evaluator.GetVariableInfo("SamplesStart").ActualName = "ValidationSamplesStart"; 230 validationR2Evaluator.GetVariableInfo("SamplesEnd").ActualName = "ValidationSamplesEnd"; 231 CoefficientOfDeterminationEvaluator testR2Evaluator = new CoefficientOfDeterminationEvaluator(); 232 testR2Evaluator.Name = "TestR2Evaluator"; 233 testR2Evaluator.GetVariableInfo("R2").ActualName = "TestR2"; 234 testR2Evaluator.GetVariableInfo("SamplesStart").ActualName = "TestSamplesStart"; 235 testR2Evaluator.GetVariableInfo("SamplesEnd").ActualName = "TestSamplesEnd"; 191 236 ProgrammableOperator progOperator = new ProgrammableOperator(); 192 237 progOperator.RemoveVariableInfo("Result"); … … 196 241 scope.AddVariable(new Variable(""EvaluatedSolutions"", new IntData(evalSolutions))); 197 242 "; 243 bestSolutionProcessor.AddSubOperator(testMseEvaluator); 198 244 bestSolutionProcessor.AddSubOperator(trainingMapeEvaluator); 199 245 bestSolutionProcessor.AddSubOperator(validationMapeEvaluator); 246 bestSolutionProcessor.AddSubOperator(testMapeEvaluator); 200 247 bestSolutionProcessor.AddSubOperator(trainingMapreEvaluator); 201 248 bestSolutionProcessor.AddSubOperator(validationMapreEvaluator); 249 bestSolutionProcessor.AddSubOperator(testMapreEvaluator); 250 bestSolutionProcessor.AddSubOperator(trainingR2Evaluator); 251 bestSolutionProcessor.AddSubOperator(validationR2Evaluator); 252 bestSolutionProcessor.AddSubOperator(testR2Evaluator); 202 253 bestSolutionProcessor.AddSubOperator(progOperator); 203 254 return bestSolutionProcessor;
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