source: branches/LearningClassifierSystems/HeuristicLab.Encodings.ConditionActionEncoding/3.3/Reinforcement/ClassifierFetcher.cs

#region License Information
/* HeuristicLab
 * Copyright (C) 2002-2012 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.Linq;
using HeuristicLab.Common;
using HeuristicLab.Core;
using HeuristicLab.Data;
using HeuristicLab.Operators;
using HeuristicLab.Parameters;
using HeuristicLab.Persistence.Default.CompositeSerializers.Storable;
using HeuristicLab.Problems.DataAnalysis;

namespace HeuristicLab.Encodings.ConditionActionEncoding {
  [Item("ClassifierFetcher", "")]
  [StorableClass]
  public class ClassifierFetcher : SingleSuccessorOperator, IClassifierFetcher {

    #region parameters
    public IValueLookupParameter<IInput> CurrentInputToMatchParameter {
      get { return (IValueLookupParameter<IInput>)Parameters["CurrentConditionToMatch"]; }
    }
    public IValueLookupParameter<IAction> CurrentActionToMatchParameter {
      get { return (IValueLookupParameter<IAction>)Parameters["CurrentActionToMatch"]; }
    }
    public ILookupParameter<IConditionActionProblemData> ProblemDataParameter {
      get { return (ILookupParameter<IConditionActionProblemData>)Parameters["ProblemData"]; }
    }
    public ILookupParameter<IntValue> IterationParameter {
      get { return (ILookupParameter<IntValue>)Parameters["Iteration"]; }
    }
    #endregion

    private IConditionActionProblemData ProblemData {
      get { return ProblemDataParameter.ActualValue; }
    }

    protected ClassifierFetcher(ClassifierFetcher original, Cloner cloner)
      : base(original, cloner) {
    }
    [StorableConstructor]
    protected ClassifierFetcher(bool deserializing) : base(deserializing) { }
    public ClassifierFetcher()
      : base() {
      Parameters.Add(new ValueLookupParameter<IInput>("CurrentConditionToMatch"));
      Parameters.Add(new ValueLookupParameter<IAction>("CurrentActionToMatch"));
      Parameters.Add(new LookupParameter<IConditionActionProblemData>("ProblemData"));
      Parameters.Add(new LookupParameter<IntValue>("Iteration"));
    }
    public override IDeepCloneable Clone(Cloner cloner) {
      return new ClassifierFetcher(this, cloner);
    }

    public override IOperation Apply() {
      Dataset dataset = ProblemData.Dataset;
      var trainingIndices = ProblemData.TrainingIndices.ToList();
      int index = IterationParameter.ActualValue.Value % trainingIndices.Count;
      CurrentInputToMatchParameter.ActualValue = ProblemDataParameter.ActualValue.FetchInput(trainingIndices[index]);
      CurrentActionToMatchParameter.ActualValue = ProblemDataParameter.ActualValue.FetchAction(trainingIndices[index]);
      return base.Apply();
    }
  }
}