source: branches/DataAnalysis Refactoring/HeuristicLab.Problems.DataAnalysis/3.4/RegressionProblemData.cs @ 5554

#region License Information
/* HeuristicLab
 * Copyright (C) 2002-2011 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.Parameters;
using HeuristicLab.Persistence.Default.CompositeSerializers.Storable;

namespace HeuristicLab.Problems.DataAnalysis {
  [StorableClass]
  public sealed class RegressionProblemData : DataAnalysisProblemData,
    IRegressionProblemData {
    private const string TargetVariableParameterName = "Target variable";

    #region default data
    private static double[,] kozaF1 = new double[,] {
          {2.017885919, -1.449165046},
          {1.30060506,  -1.344523885},
          {1.147134798, -1.317989331},
          {0.877182504, -1.266142284},
          {0.852562452, -1.261020794},
          {0.431095788, -1.158793317},
          {0.112586002, -1.050908405},
          {0.04594507,  -1.021989402},
          {0.042572879, -1.020438113},
          {-0.074027291,  -0.959859562},
          {-0.109178553,  -0.938094706},
          {-0.259721109,  -0.803635355},
          {-0.272991057,  -0.387519561},
          {-0.161978191,  -0.193611001},
          {-0.102489983,  -0.114215349},
          {-0.01469968, -0.014918985},
          {-0.008863365,  -0.008942626},
          {0.026751057, 0.026054094},
          {0.166922436, 0.14309643},
          {0.176953808, 0.1504144},
          {0.190233418, 0.159916534},
          {0.199800708, 0.166635331},
          {0.261502822, 0.207600348},
          {0.30182879,  0.232370249},
          {0.83763905,  0.468046718}
    };
    private static Dataset defaultDataset;
    private static IEnumerable<string> defaultAllowedInputVariables;
    private static string defaultTargetVariable;

    static RegressionProblemData() {
      defaultDataset = new Dataset(new string[] { "y", "x" }, kozaF1);
      defaultAllowedInputVariables = new List<string>() { "x" };
      defaultTargetVariable = "y";
    }
    #endregion

    #region parameter properties
    public IValueParameter<StringValue> TargetVariableParameter {
      get { return (IValueParameter<StringValue>)Parameters[TargetVariableParameterName]; }
    }
    #endregion
    #region propeties
    public string TargetVariable {
      get { return TargetVariableParameter.Value.Value; }
    }
    #endregion

    [StorableConstructor]
    private RegressionProblemData(bool deserializing) : base(deserializing) { }
    private RegressionProblemData(RegressionProblemData original, Cloner cloner)
      : base(original, cloner) {
      RegisterEventHandlers();
    }
    public override IDeepCloneable Clone(Cloner cloner) { return new RegressionProblemData(this, cloner); }

    public RegressionProblemData()
      : this(defaultDataset, defaultAllowedInputVariables, defaultTargetVariable) {
    }

    public RegressionProblemData(Dataset dataset, IEnumerable<string> allowedInputVariables, string targetVariable)
      : base(dataset, allowedInputVariables) {
      if (!dataset.VariableNames.Contains(targetVariable))
        throw new ArgumentException("The target variable must be present in the dataset");

      ConstrainedValueParameter<StringValue> targetVariableParameter = new ConstrainedValueParameter<StringValue>(TargetVariableParameterName);
      foreach (var variableName in dataset.VariableNames) {
        StringValue targetVariableValue = new StringValue(variableName);
        targetVariableParameter.ValidValues.Add(targetVariableValue);
        if (variableName == targetVariable)
          targetVariableParameter.Value = targetVariableValue;
      }

      Parameters.Add(targetVariableParameter);
      RegisterEventHandlers();
    }



    [StorableHook(HookType.AfterDeserialization)]
    private void AfterDeserialization() {
      RegisterEventHandlers();
    }

    #region event propagation
    private void RegisterEventHandlers() {
      TargetVariableParameter.Value.ValueChanged += new EventHandler(TargetVariable_ValueChanged);
      TargetVariableParameter.ValueChanged += new EventHandler(TargetVariableParameter_ValueChanged);
    }

    private void TargetVariableParameter_ValueChanged(object sender, EventArgs e) {
      TargetVariableParameter.Value.ValueChanged += new EventHandler(TargetVariable_ValueChanged);
      OnChanged();
    }

    private void TargetVariable_ValueChanged(object sender, EventArgs e) {
      OnChanged();
    }
    #endregion
  }
}