source: branches/CEDMA-Refactoring-Ticket419/HeuristicLab.GP.StructureIdentification.Classification/StandardGP.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.Random;
using HeuristicLab.Data;

namespace HeuristicLab.GP.StructureIdentification.Classification {
  public class StandardGP : HeuristicLab.GP.StructureIdentification.StandardGP {

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

    protected override IOperator CreateBestSolutionProcessor() {
      IOperator seq = base.CreateBestSolutionProcessor();
      AccuracyEvaluator trainingAccuracy = new AccuracyEvaluator();
      trainingAccuracy.GetVariableInfo("Accuracy").ActualName = "TrainingAccuracy";
      trainingAccuracy.GetVariableInfo("SamplesStart").ActualName = "TrainingSamplesStart";
      trainingAccuracy.GetVariableInfo("SamplesEnd").ActualName = "TrainingSamplesEnd";

      AccuracyEvaluator validationAccuracy = new AccuracyEvaluator();
      validationAccuracy.GetVariableInfo("Accuracy").ActualName = "ValidationAccuracy";
      validationAccuracy.GetVariableInfo("SamplesStart").ActualName = "ValidationSamplesStart";
      validationAccuracy.GetVariableInfo("SamplesEnd").ActualName = "ValidationSamplesEnd";

      AccuracyEvaluator testAccuracy = new AccuracyEvaluator();
      testAccuracy.GetVariableInfo("Accuracy").ActualName = "TestAccuracy";
      testAccuracy.GetVariableInfo("SamplesStart").ActualName = "TestSamplesStart";
      testAccuracy.GetVariableInfo("SamplesEnd").ActualName = "TestSamplesEnd";

      ConfusionMatrixEvaluator trainingConfusionMatrix = new ConfusionMatrixEvaluator();
      trainingConfusionMatrix.GetVariableInfo("ConfusionMatrix").ActualName = "TrainingConfusionMatrix";
      trainingConfusionMatrix.GetVariableInfo("SamplesStart").ActualName = "TrainingSamplesStart";
      trainingConfusionMatrix.GetVariableInfo("SamplesEnd").ActualName = "TrainingSamplesEnd";

      ConfusionMatrixEvaluator validationConfusionMatrix = new ConfusionMatrixEvaluator();
      validationConfusionMatrix.GetVariableInfo("ConfusionMatrix").ActualName = "ValidationConfusionMatrix";
      validationConfusionMatrix.GetVariableInfo("SamplesStart").ActualName = "ValidationSamplesStart";
      validationConfusionMatrix.GetVariableInfo("SamplesEnd").ActualName = "ValidationSamplesEnd";

      ConfusionMatrixEvaluator testConfusionMatrix = new ConfusionMatrixEvaluator();
      testConfusionMatrix.GetVariableInfo("ConfusionMatrix").ActualName = "TestConfusionMatrix";
      testConfusionMatrix.GetVariableInfo("SamplesStart").ActualName = "TestSamplesStart";
      testConfusionMatrix.GetVariableInfo("SamplesEnd").ActualName = "TestSamplesEnd";

      seq.AddSubOperator(trainingAccuracy);
      seq.AddSubOperator(validationAccuracy);
      seq.AddSubOperator(testAccuracy);
      seq.AddSubOperator(trainingConfusionMatrix);
      seq.AddSubOperator(validationConfusionMatrix);
      seq.AddSubOperator(testConfusionMatrix);
      return seq;
    }
  }
}