#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 . */ #endregion using System; using System.Collections.Generic; using System.Linq; using HeuristicLab.Common; using HeuristicLab.Core; using HeuristicLab.Data; using HeuristicLab.Persistence.Default.CompositeSerializers.Storable; using HeuristicLab.Optimization; using HeuristicLab.Parameters; namespace HeuristicLab.Problems.DataAnalysis { [StorableClass] [Item("RegressionProblem", "")] [Creatable] public class RegressionProblem : DataAnalysisProblem, IRegressionProblem { private const string ProblemDataParameterName = "ProblemData"; #region properties public new IDataAnalysisEvaluator Evaluator { get { throw new NotImplementedException(); } } public new IRegressionSolutionCreator SolutionCreator { get { throw new NotImplementedException(); } } IDataAnalysisSolutionCreator IDataAnalysisProblem.SolutionCreator { get { throw new NotImplementedException(); } } #endregion public RegressionProblem(RegressionProblem original, Cloner cloner) : base(original, cloner) { RegisterEventHandlers(); } [StorableConstructor] public RegressionProblem(bool deserializing) : base(deserializing) { } public RegressionProblem() : base() { Parameters.Add(new ValueParameter(ProblemDataParameterName, "", new RegressionProblemData())); RegisterEventHandlers(); } [StorableHook(HookType.AfterDeserialization)] private void AfterDeserialization() { RegisterEventHandlers(); } public override IDeepCloneable Clone(Cloner cloner) { return new RegressionProblem(this, cloner); } private void RegisterEventHandlers() { ProblemDataParameter.Value.Changed += new EventHandler(Value_Changed); } #region event propagation private void Value_Changed(object sender, EventArgs e) { OnReset(); } #endregion } }