1  #region License Information


2  /* HeuristicLab


3  * Copyright (C) 20022012 Heuristic and Evolutionary Algorithms Laboratory (HEAL)


4  *


5  * This file is part of HeuristicLab.


6  *


7  * HeuristicLab is free software: you can redistribute it and/or modify


8  * it under the terms of the GNU General Public License as published by


9  * the Free Software Foundation, either version 3 of the License, or


10  * (at your option) any later version.


11  *


12  * HeuristicLab is distributed in the hope that it will be useful,


13  * but WITHOUT ANY WARRANTY; without even the implied warranty of


14  * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the


15  * GNU General Public License for more details.


16  *


17  * You should have received a copy of the GNU General Public License


18  * along with HeuristicLab. If not, see <http://www.gnu.org/licenses/>.


19  */


20  #endregion


21 


22  using System.Collections.Generic;


23  using System.Linq;


24  using HeuristicLab.Common;


25  using HeuristicLab.Core;


26  using HeuristicLab.Persistence.Default.CompositeSerializers.Storable;


27 


28  namespace HeuristicLab.Problems.DataAnalysis {


29  [StorableClass]


30  [Item("Constant Regression Model", "A model that always returns the same constant value regardless of the presented input data.")]


31  public class ConstantRegressionModel : NamedItem, IRegressionModel {


32  [Storable]


33  protected double constant;


34  public double Constant {


35  get { return constant; }


36  }


37 


38  [StorableConstructor]


39  protected ConstantRegressionModel(bool deserializing) : base(deserializing) { }


40  protected ConstantRegressionModel(ConstantRegressionModel original, Cloner cloner)


41  : base(original, cloner) {


42  this.constant = original.constant;


43  }


44  public override IDeepCloneable Clone(Cloner cloner) { return new ConstantRegressionModel(this, cloner); }


45 


46  public ConstantRegressionModel(double constant)


47  : base() {


48  this.name = ItemName;


49  this.description = ItemDescription;


50  this.constant = constant;


51  }


52 


53  public IEnumerable<double> GetEstimatedValues(Dataset dataset, IEnumerable<int> rows) {


54  return rows.Select(row => Constant);


55  }


56 


57  public IRegressionSolution CreateRegressionSolution(IRegressionProblemData problemData) {


58  return new ConstantRegressionSolution(this, new RegressionProblemData(problemData));


59  }


60  }


61  }

