#region License Information
/* HeuristicLab
* Copyright (C) 2002-2016 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 HeuristicLab.Common;
using HeuristicLab.Core;
using HeuristicLab.Data;
using HeuristicLab.Optimization;
using HeuristicLab.Persistence;
using HeuristicLab.Problems.DataAnalysis.Symbolic;
namespace HeuristicLab.Problems.DataAnalysis.Trading.Symbolic {
///
/// Represents a symbolic trading solution (model + data) and attributes of the solution like accuracy and complexity
///
[StorableType("d2e7e889-74de-4020-bd20-8cbfdec4330f")]
[Item(Name = "Solution (symbolic trading)",
Description =
"Represents a symbolic trading solution (model + data) and attributes of the solution like accuracy and complexity."
)]
public sealed class SymbolicSolution : Solution, ISolution {
private const string ModelLengthResultName = "Model Length";
private const string ModelDepthResultName = "Model Depth";
public new IModel Model {
get { return (IModel)base.Model; }
set { base.Model = value; }
}
ISymbolicDataAnalysisModel ISymbolicDataAnalysisSolution.Model {
get { return (ISymbolicDataAnalysisModel)base.Model; }
}
public int ModelLength {
get { return ((IntValue)this[ModelLengthResultName].Value).Value; }
private set { ((IntValue)this[ModelLengthResultName].Value).Value = value; }
}
public int ModelDepth {
get { return ((IntValue)this[ModelDepthResultName].Value).Value; }
private set { ((IntValue)this[ModelDepthResultName].Value).Value = value; }
}
[StorableConstructor]
private SymbolicSolution(StorableConstructorFlag deserializing)
: base(deserializing) {
}
private SymbolicSolution(SymbolicSolution original, Cloner cloner)
: base(original, cloner) {
}
public SymbolicSolution(IModel model, IProblemData problemData)
: base(model, problemData) {
Add(new Result(ModelLengthResultName, "Length of the symbolic trading model.", new IntValue()));
Add(new Result(ModelDepthResultName, "Depth of the symbolic trading model.", new IntValue()));
RecalculateResults();
}
public override IDeepCloneable Clone(Cloner cloner) {
return new SymbolicSolution(this, cloner);
}
protected override void OnModelChanged() {
base.OnModelChanged();
RecalculateResults();
}
protected override void RecalculateResults() {
base.RecalculateResults();
CalculateResults();
}
private void CalculateResults() {
ModelLength = Model.SymbolicExpressionTree.Length;
ModelDepth = Model.SymbolicExpressionTree.Depth;
}
}
}