#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(); } }