#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 .
*/
#endregion
using System.Collections.Generic;
using HeuristicLab.Problems.DataAnalysis;
namespace HeuristicLab.Problems.Instances.Regression {
public abstract class ArtificialRegressionDataDescriptor : IDataDescriptor {
public abstract string Name { get; }
public abstract string Description { get; }
protected abstract string TargetVariable { get; }
protected abstract string[] InputVariables { get; }
protected abstract string[] AllowedInputVariables { get; }
protected abstract int TrainingPartitionStart { get; }
protected abstract int TrainingPartitionEnd { get; }
protected abstract int TestPartitionStart { get; }
protected abstract int TestPartitionEnd { get; }
public IRegressionProblemData GenerateRegressionData() {
Dataset dataset = new Dataset(InputVariables, this.GenerateValues());
RegressionProblemData regData = new RegressionProblemData(dataset, AllowedInputVariables, TargetVariable);
regData.Name = this.Name;
regData.Description = this.Description;
regData.TrainingPartition.Start = this.TrainingPartitionStart;
regData.TrainingPartition.End = this.TrainingPartitionEnd;
regData.TestPartition.Start = this.TestPartitionStart;
regData.TestPartition.End = this.TestPartitionEnd;
return regData;
}
protected abstract List> GenerateValues();
}
}