source: branches/CEDMA-Refactoring-Ticket419/HeuristicLab.GP.StructureIdentification.TimeSeries/OffspringSelectionGP.cs @ 1253

#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 <http://www.gnu.org/licenses/>.
 */
#endregion

using System;
using System.Collections.Generic;
using System.Linq;
using System.Text;
using HeuristicLab.Core;
using System.Xml;
using System.Diagnostics;
using HeuristicLab.DataAnalysis;
using HeuristicLab.Data;
using HeuristicLab.Operators;
using HeuristicLab.Logging;

namespace HeuristicLab.GP.StructureIdentification.TimeSeries {
  public class OffspringSelectionGP : HeuristicLab.GP.StructureIdentification.OffspringSelectionGP {
    private BoolData autoregressive = new BoolData();
    public bool Autoregressive {
      get { return autoregressive.Data; }
      set { autoregressive.Data = value; }
    }
    
    protected override IOperator CreateFunctionLibraryInjector() {
      return new FunctionLibraryInjector();
    }

    protected override IOperator CreateProblemInjector() {
      return new ProblemInjector();
    }

    protected override IOperator CreateGlobalInjector() {
      VariableInjector injector = (VariableInjector)base.CreateGlobalInjector();
      injector.AddVariable(new HeuristicLab.Core.Variable("Autoregressive", autoregressive));
      return injector;
    }

    protected override IOperator CreateBestSolutionProcessor() {
      IOperator seq = base.CreateBestSolutionProcessor();
      TheilInequalityCoefficientEvaluator trainingTheil = new TheilInequalityCoefficientEvaluator();
      trainingTheil.GetVariableInfo("SamplesStart").ActualName = "TrainingSamplesStart";
      trainingTheil.GetVariableInfo("SamplesEnd").ActualName = "TrainingSamplesEnd";
      trainingTheil.GetVariableInfo("TheilInequalityCoefficient").ActualName = "TrainingTheilInequalityCoefficient";
      trainingTheil.GetVariableInfo("TheilInequalityCoefficientBias").ActualName = "TrainingTheilInequalityCoefficientBias";
      trainingTheil.GetVariableInfo("TheilInequalityCoefficientVariance").ActualName = "TrainingTheilInequalityCoefficientVariance";
      trainingTheil.GetVariableInfo("TheilInequalityCoefficientCovariance").ActualName = "TrainingTheilInequalityCoefficientCovariance";

      TheilInequalityCoefficientEvaluator validationTheil = new TheilInequalityCoefficientEvaluator();
      validationTheil.GetVariableInfo("SamplesStart").ActualName = "ValidationSamplesStart";
      validationTheil.GetVariableInfo("SamplesEnd").ActualName = "ValidationSamplesEnd";
      validationTheil.GetVariableInfo("TheilInequalityCoefficient").ActualName = "ValidationTheilInequalityCoefficient";
      validationTheil.GetVariableInfo("TheilInequalityCoefficientBias").ActualName = "ValidationTheilInequalityCoefficientBias";
      validationTheil.GetVariableInfo("TheilInequalityCoefficientVariance").ActualName = "ValidationTheilInequalityCoefficientVariance";
      validationTheil.GetVariableInfo("TheilInequalityCoefficientCovariance").ActualName = "ValidationTheilInequalityCoefficientCovariance";

      TheilInequalityCoefficientEvaluator testTheil = new TheilInequalityCoefficientEvaluator();
      testTheil.GetVariableInfo("SamplesStart").ActualName = "TestSamplesStart";
      testTheil.GetVariableInfo("SamplesEnd").ActualName = "TestSamplesEnd";
      testTheil.GetVariableInfo("TheilInequalityCoefficient").ActualName = "TestTheilInequalityCoefficient";
      testTheil.GetVariableInfo("TheilInequalityCoefficientBias").ActualName = "TestTheilInequalityCoefficientBias";
      testTheil.GetVariableInfo("TheilInequalityCoefficientVariance").ActualName = "TestTheilInequalityCoefficientVariance";
      testTheil.GetVariableInfo("TheilInequalityCoefficientCovariance").ActualName = "TestTheilInequalityCoefficientCovariance";

      SimpleEvaluator trainingEvaluator = new SimpleEvaluator();
      trainingEvaluator.GetVariableInfo("SamplesStart").ActualName = "TrainingSamplesStart";
      trainingEvaluator.GetVariableInfo("SamplesEnd").ActualName = "TrainingSamplesEnd";
      trainingEvaluator.GetVariableInfo("Values").ActualName = "PredictedValuesTraining";

      SimpleEvaluator validationEvaluator = new SimpleEvaluator();
      validationEvaluator.GetVariableInfo("SamplesStart").ActualName = "ValidationSamplesStart";
      validationEvaluator.GetVariableInfo("SamplesEnd").ActualName = "ValidationSamplesEnd";
      validationEvaluator.GetVariableInfo("Values").ActualName = "PredictedValuesValidation";
      
      SimpleEvaluator testEvaluator = new SimpleEvaluator();
      testEvaluator.GetVariableInfo("SamplesStart").ActualName = "TestSamplesStart";
      testEvaluator.GetVariableInfo("SamplesEnd").ActualName = "TestSamplesEnd";
      testEvaluator.GetVariableInfo("Values").ActualName = "PredictedValuesTest";

      LinechartInjector trainingChartInjector = new LinechartInjector();
      trainingChartInjector.GetVariableValue<IntData>("NumberOfLines", null, false).Data = 2;
      trainingChartInjector.GetVariableInfo("Values").ActualName = "PredictedValuesTraining";
      trainingChartInjector.GetVariableInfo("Linechart").ActualName = "LinechartTrainingPredictedValues";

      LinechartInjector validationChartInjector = new LinechartInjector();
      validationChartInjector.GetVariableValue<IntData>("NumberOfLines", null, false).Data = 2;
      validationChartInjector.GetVariableInfo("Values").ActualName = "PredictedValuesValidation";
      validationChartInjector.GetVariableInfo("Linechart").ActualName = "LinechartValidationPredictedValues";

      LinechartInjector testChartInjector = new LinechartInjector();
      testChartInjector.GetVariableValue<IntData>("NumberOfLines", null, false).Data = 2;
      testChartInjector.GetVariableInfo("Values").ActualName = "PredictedValuesTest";
      testChartInjector.GetVariableInfo("Linechart").ActualName = "LinechartTestPredictedValues";

      seq.AddSubOperator(trainingTheil);
      seq.AddSubOperator(validationTheil);
      seq.AddSubOperator(testTheil);
      seq.AddSubOperator(trainingEvaluator);
      seq.AddSubOperator(trainingChartInjector);
      seq.AddSubOperator(validationEvaluator);
      seq.AddSubOperator(validationChartInjector);
      seq.AddSubOperator(testEvaluator);
      seq.AddSubOperator(testChartInjector);

      return seq;
    }

    public override IEditor CreateEditor() {
      return new OffspringSelectionGpEditor(this);
    }

    public override IView CreateView() {
      return new OffspringSelectionGpEditor(this);
    }
  }
}