source: branches/LearningClassifierSystems/HeuristicLab.Encodings.ConditionActionEncoding/3.3/XCSClassifier.cs @ 9844

#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 HeuristicLab.Common;
using HeuristicLab.Core;
using HeuristicLab.Data;
using HeuristicLab.Persistence.Default.CompositeSerializers.Storable;

namespace HeuristicLab.Encodings.ConditionActionEncoding {
  [Item("XCSClassifier", "Represents a single XCS classifier")]
  [StorableClass]
  public class XCSClassifier : Item {

    #region private variables
    [Storable]
    private IClassifier classifier;
    [Storable]
    private DoubleValue prediction;
    [Storable]
    private DoubleValue predictionError;
    [Storable]
    private DoubleValue fitness;
    [Storable]
    private IntValue experience;
    [Storable]
    private IntValue timestamp;
    [Storable]
    private DoubleValue averageActionSetSize;
    [Storable]
    private IntValue numerosity;
    #endregion

    #region properties
    public IClassifier Classifier {
      get { return classifier; }
      set { classifier = value; }
    }
    public DoubleValue Prediction {
      get { return prediction; }
      set { prediction = value; }
    }
    public DoubleValue PredictionError {
      get { return predictionError; }
      set { predictionError = value; }
    }
    public DoubleValue Fitness {
      get { return fitness; }
      set { fitness = value; }
    }
    public IntValue Experience {
      get { return experience; }
      set { experience = value; }
    }
    public IntValue Timestamp {
      get { return timestamp; }
      set { timestamp = value; }
    }
    public DoubleValue AverageActionSetSize {
      get { return averageActionSetSize; }
      set { averageActionSetSize = value; }
    }
    public IntValue Numerosity {
      get { return numerosity; }
      set { numerosity = value; }
    }
    #endregion

    [StorableConstructor]
    protected XCSClassifier(bool deserializing) : base(deserializing) { }
    protected XCSClassifier(XCSClassifier original, Cloner cloner)
      : base(original, cloner) {
      classifier = cloner.Clone(original.classifier);
      prediction = cloner.Clone(original.prediction);
      predictionError = cloner.Clone(original.predictionError);
      fitness = cloner.Clone(original.fitness);
      experience = cloner.Clone(original.experience);
      timestamp = cloner.Clone(original.timestamp);
      averageActionSetSize = cloner.Clone(original.averageActionSetSize);
      numerosity = cloner.Clone(original.numerosity);
    }
    public override IDeepCloneable Clone(Cloner cloner) {
      return new XCSClassifier(this, cloner);
    }
    public XCSClassifier() : base() { }
    public XCSClassifier(IClassifier classifier, DoubleValue prediction, DoubleValue predictionError,
      DoubleValue fitness, IntValue experience, IntValue timestamp, DoubleValue averageActionSetSize, IntValue numerosity) {

      this.classifier = classifier;
      this.prediction = prediction;
      this.predictionError = predictionError;
      this.fitness = fitness;
      this.experience = experience;
      this.timestamp = timestamp;
      this.averageActionSetSize = averageActionSetSize;
      this.numerosity = numerosity;
    }
  }
}