#region License Information /* HeuristicLab * Copyright (C) 2002-2008 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; using System.Collections.Generic; using System.Linq; using System.Text; using HeuristicLab.Core; using System.Xml; using HeuristicLab.CEDMA.DB.Interfaces; using HeuristicLab.Operators; namespace HeuristicLab.CEDMA.Core { /// /// Problem describes the data mining task. /// Contains the actual data and meta-data: /// * which variables should be modelled /// * regression, time-series or classification problem /// public class Problem : ItemBase { private string name; public string Name { get { return name; } } private HeuristicLab.DataAnalysis.Dataset dataset; public HeuristicLab.DataAnalysis.Dataset DataSet { get { return dataset; } } private int trainingSamplesStart; public int TrainingSamplesStart { get { return trainingSamplesStart; } } private int trainingSamplesEnd; public int TrainingSamplesEnd { get { return trainingSamplesEnd; } } private int validationSamplesStart; public int ValidationSamplesStart { get { return validationSamplesStart; } set { validationSamplesStart = value; } } private int validationSamplesEnd; public int ValidationSamplesEnd { get { return validationSamplesEnd; } set { validationSamplesEnd = value; } } private int testSamplesStart; public int TestSamplesStart { get { return testSamplesStart; } set { testSamplesStart = value; } } private int testSamplesEnd; public int TestSamplesEnd { get { return testSamplesEnd; } set { testSamplesEnd = value; } } private List allowedInputVariables; private List allowedTargetVariables; private List minTimeOffsets; private List maxTimeOffsets; private bool autoRegressive; public bool AutoRegressive { get { return autoRegressive; } set { autoRegressive = value; } } private bool timeSeries; public bool TimeSeries { get { return timeSeries; } set { timeSeries = value; } } public Problem() : base() { } } }