#region License Information /* HeuristicLab * Copyright (C) 2002-2008 Heuristic and Evolutionary Algorithms Laboratory (HEAL) * * This file is part of HeuristicLab. * * HeuristicLab is free software: you can redistribute it and/or modify * it under the terms of the GNU General Public License as published by * the Free Software Foundation, either version 3 of the License, or * (at your option) any later version. * * HeuristicLab is distributed in the hope that it will be useful, * but WITHOUT ANY WARRANTY; without even the implied warranty of * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the * GNU General Public License for more details. * * You should have received a copy of the GNU General Public License * along with HeuristicLab. If not, see . */ #endregion using HeuristicLab.Core; using HeuristicLab.DataAnalysis; using HeuristicLab.GP.Interfaces; using HeuristicLab.Operators; using HeuristicLab.Modeling; using HeuristicLab.Logging; using HeuristicLab.Data; namespace HeuristicLab.GP.StructureIdentification.TimeSeries { internal static class DefaultTimeSeriesOperators { internal static IOperator CreateFunctionLibraryInjector() { CombinedOperator op = new CombinedOperator(); op.Name = "FunctionLibraryInjector"; SequentialProcessor seq = new SequentialProcessor(); FunctionLibraryInjector funLibInjector = new FunctionLibraryInjector(); funLibInjector.GetVariable("Differentials").Value = new BoolData(true); seq.AddSubOperator(funLibInjector); seq.AddSubOperator(new HL3TreeEvaluatorInjector()); op.OperatorGraph.AddOperator(seq); op.OperatorGraph.InitialOperator = seq; return op; } internal static IOperator CreateProblemInjector() { CombinedOperator op = new CombinedOperator(); op.Name = "ProblemInjector"; SequentialProcessor seq = new SequentialProcessor(); seq.AddSubOperator(new ProblemInjector()); op.OperatorGraph.AddOperator(seq); op.OperatorGraph.InitialOperator = seq; return op; } internal static IOperator CreatePostProcessingOperator() { SequentialProcessor seq = new SequentialProcessor(); seq.AddSubOperator(DefaultStructureIdentificationAlgorithmOperators.CreatePostProcessingOperator()); UniformSequentialSubScopesProcessor subScopesProc = new UniformSequentialSubScopesProcessor(); SequentialProcessor individualProc = new SequentialProcessor(); subScopesProc.AddSubOperator(individualProc); seq.AddSubOperator(subScopesProc); SimpleTheilInequalityCoefficientEvaluator trainingTheil = new SimpleTheilInequalityCoefficientEvaluator(); trainingTheil.Name = "TrainingTheilInequalityEvaluator"; trainingTheil.GetVariableInfo("Values").ActualName = "TrainingValues"; trainingTheil.GetVariableInfo("TheilInequalityCoefficient").ActualName = "TrainingTheilInequalityCoefficient"; SimpleTheilInequalityCoefficientEvaluator validationTheil = new SimpleTheilInequalityCoefficientEvaluator(); validationTheil.Name = "ValidationTheilInequalityEvaluator"; validationTheil.GetVariableInfo("Values").ActualName = "ValidationValues"; validationTheil.GetVariableInfo("TheilInequalityCoefficient").ActualName = "ValidationTheilInequalityCoefficient"; SimpleTheilInequalityCoefficientEvaluator testTheil = new SimpleTheilInequalityCoefficientEvaluator(); testTheil.Name = "TestTheilInequalityEvaluator"; testTheil.GetVariableInfo("Values").ActualName = "TestValues"; testTheil.GetVariableInfo("TheilInequalityCoefficient").ActualName = "TestTheilInequalityCoefficient"; individualProc.AddSubOperator(trainingTheil); individualProc.AddSubOperator(validationTheil); individualProc.AddSubOperator(testTheil); return seq; } internal static void SetModelData(IAnalyzerModel model, IScope scope) { model.SetResult("TrainingTheilInequalityCoefficient", scope.GetVariableValue("TrainingTheilInequalityCoefficient", true).Data); model.SetResult("ValidationTheilInequalityCoefficient", scope.GetVariableValue("ValidationTheilInequalityCoefficient", true).Data); model.SetResult("TestTheilInequalityCoefficient", scope.GetVariableValue("TestTheilInequalityCoefficient", true).Data); } } }