#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
}
}