source: branches/LearningClassifierSystems/HeuristicLab.Encodings.VariableVector/3.3/Covering/VariableVectorCoveringCreator.cs @ 9226

#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;
using System.Collections.Generic;
using System.Linq;
using HeuristicLab.Common;
using HeuristicLab.Core;
using HeuristicLab.Encodings.ConditionActionEncoding;
using HeuristicLab.Parameters;
using HeuristicLab.Persistence.Default.CompositeSerializers.Storable;

namespace HeuristicLab.Encodings.VariableVector {
  [Item("VariableVectorCoveringCreator", "Description missing")]
  [StorableClass]
  public class VariableVectorCoveringCreator : CoveringSolutionCreator, IVariableVectorCoveringCreator {

    public IValueLookupParameter<VariableVector> SampleVariableVectorParameter {
      get { return (IValueLookupParameter<VariableVector>)Parameters["SampleVariableVector"]; }
    }

    [StorableConstructor]
    protected VariableVectorCoveringCreator(bool deserializing) : base(deserializing) { }
    protected VariableVectorCoveringCreator(VariableVectorCoveringCreator original, Cloner cloner)
      : base(original, cloner) {
    }
    public VariableVectorCoveringCreator()
      : base() {
      Parameters.Add(new ValueLookupParameter<VariableVector>("SampleVariableVector"));
    }
    public override IDeepCloneable Clone(Cloner cloner) {
      return new VariableVectorCoveringCreator(this, cloner);
    }

    protected override IClassifier CreateCoveredClassifier(IInput input, IAction action, IRandom random, double changeSymbolProbability) {
      var inputCast = input as VariableVectorInput;
      var actionCast = action as VariableVectorAction;

      VariableVectorCondition sampleVariableVectorCondition = SampleVariableVectorParameter.ActualValue.Condition;
      IEnumerable<IVariable> newCondition = CoverInput(inputCast, sampleVariableVectorCondition, random, changeSymbolProbability);

      return new VariableVector(newCondition, actionCast.Values);
    }

    private IEnumerable<IVariable> CoverInput(VariableVectorInput input, VariableVectorCondition sample, IRandom random, double changeSymbolProbability) {
      var conditionVariables = new List<IVariable>();
      if (!sample.Keys.All(x => input.ContainsKey(x))) {
        throw new ArgumentException("Input does not contain all variable names from sample");
      }
      foreach (var keyValuePair in sample) {
        IVariable variable = keyValuePair.Value.GetEmptyCopy();
        variable.Cover(random, input[keyValuePair.Key], changeSymbolProbability);
        conditionVariables.Add(variable);
      }
      return conditionVariables;
    }
  }
}