source: branches/3.2/sources/HeuristicLab.GP.StructureIdentification.TimeSeries/3.3/OffspringSelectionGPTimeSeriesPrognosis.cs @ 10159

#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 HeuristicLab.Core;
using HeuristicLab.Modeling;
using HeuristicLab.Operators;
using System;
using HeuristicLab.Data;
using HeuristicLab.GP.Algorithms;

namespace HeuristicLab.GP.StructureIdentification.TimeSeries {
  public class OffspringSelectionGPTimeSeriesPrognosis : HeuristicLab.GP.StructureIdentification.OffspringSelectionGPRegression, ITimeSeriesAlgorithm {
    public override string Name {
      get {
        return base.Name + " - time series prognosis";
      }
    }

    protected override IOperator CreateProblemInjector() {
      return DefaultTimeSeriesOperators.CreateProblemInjector();
    }

    protected override IOperator CreateModelAnalyzerOperator() {
      return DefaultTimeSeriesOperators.CreatePostProcessingOperator();
    }

    protected override IAnalyzerModel CreateGPModel() {
      var model = new AnalyzerModel();
      var bestModelScope = Engine.GlobalScope.SubScopes[0];
      model.SetMetaData("SelectionPressure", bestModelScope.GetVariableValue<DoubleData>("SelectionPressure", false).Data);
      DefaultStructureIdentificationOperators.PopulateAnalyzerModel(bestModelScope, model);
      DefaultTimeSeriesOperators.PopulateAnalyzerModel(bestModelScope, model);
      return model;
    }
  }
}