source: branches/Sliding Window GP/HeuristicLab.Problems.DataAnalysis.Symbolic/3.4/SlidingWindow/SlidingWindowData.cs @ 9870

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

namespace HeuristicLab.Problems.DataAnalysis.Symbolic {
  [StorableClass]
  [Item("Sliding Window Position", "")]
  public sealed class SlidingWindowData : Item {
    [Storable]
    private IntRange slidingWindowPosition;
    public IntRange SlidingWindowPosition {
      get { return slidingWindowPosition; }
    }

    public IEnumerable<double> TargetValues {
      get {
        return problemData.Dataset.GetDoubleValues(GetTargetVariableName(problemData), problemData.TrainingIndices);
      }
    }

    [Storable]
    private IEnumerable<double> estimatedValues;
    public IEnumerable<double> EstimatedValues {
      get { return estimatedValues; }
      set {
        if (value == null) throw new ArgumentNullException();
        estimatedValues = value.ToArray();
        OnEstimatedValuesChanged();
      }
    }

    [Storable]
    private readonly IDataAnalysisProblemData problemData;

    public IDataAnalysisProblemData ProblemData {
      get { return problemData; }
    }

    public int TrainingPartitionStart {
      get { return problemData.TrainingPartition.Start; }
    }

    public int TrainingPartitionEnd {
      get { return problemData.TrainingPartition.End; }
    }

    [StorableConstructor]
    private SlidingWindowData(bool deserializing) : base(deserializing) { }
    private SlidingWindowData(SlidingWindowData original, Cloner cloner)
      : base(original, cloner) {
      slidingWindowPosition = cloner.Clone(original.slidingWindowPosition);
      problemData = cloner.Clone(original.ProblemData);
    }
    public override IDeepCloneable Clone(Cloner cloner) {
      return new SlidingWindowData(this, cloner);
    }

    public SlidingWindowData(IntRange slidingWindowPosition, IDataAnalysisProblemData problemData)
      : base() {
      this.slidingWindowPosition = slidingWindowPosition;
      this.problemData = (IDataAnalysisProblemData)problemData.Clone();
    }

    public event EventHandler EstimatedValuesChanged;
    private void OnEstimatedValuesChanged() {
      var handler = EstimatedValuesChanged;
      if (handler != null) EstimatedValuesChanged(this, EventArgs.Empty);
    }

    private string GetTargetVariableName(IDataAnalysisProblemData problemData) {
      var classificationProblemData = problemData as IClassificationProblemData;
      var regressionProblemData = problemData as IRegressionProblemData;
      string targetVariable;
      if (classificationProblemData != null) targetVariable = classificationProblemData.TargetVariable;
      else if (regressionProblemData != null) targetVariable = regressionProblemData.TargetVariable;
      else throw new NotSupportedException();
      return targetVariable;
    }
  }
}