#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);
}
}
}