#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;

namespace HeuristicLab.GP.StructureIdentification.TimeSeries {
  public class StandardGP : HeuristicLab.GP.StructureIdentification.StandardGP {
    protected override IOperator CreateFunctionLibraryInjector() {
      return new FunctionLibraryInjector();
    }

    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";

      seq.AddSubOperator(trainingTheil);
      seq.AddSubOperator(validationTheil);
      seq.AddSubOperator(testTheil);

      return seq;
    }
  }
}