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source: trunk/sources/HeuristicLab.Problems.DataAnalysis.Regression/3.3/Symbolic/SymbolicRegressionSolution.cs @ 3442

Last change on this file since 3442 was 3442, checked in by gkronber, 14 years ago

Implemented views for DataAnalysisProblems and DataAnalysisSolutions. #938 (Data types and operators for regression problems)

File size: 1.9 KB
Line 
1#region License Information
2/* HeuristicLab
3 * Copyright (C) 2002-2010 Heuristic and Evolutionary Algorithms Laboratory (HEAL)
4 *
5 * This file is part of HeuristicLab.
6 *
7 * HeuristicLab is free software: you can redistribute it and/or modify
8 * it under the terms of the GNU General Public License as published by
9 * the Free Software Foundation, either version 3 of the License, or
10 * (at your option) any later version.
11 *
12 * HeuristicLab is distributed in the hope that it will be useful,
13 * but WITHOUT ANY WARRANTY; without even the implied warranty of
14 * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
15 * GNU General Public License for more details.
16 *
17 * You should have received a copy of the GNU General Public License
18 * along with HeuristicLab. If not, see <http://www.gnu.org/licenses/>.
19 */
20#endregion
21
22using System;
23using HeuristicLab.Common;
24using HeuristicLab.Core;
25using HeuristicLab.Data;
26using HeuristicLab.Persistence.Default.CompositeSerializers.Storable;
27using HeuristicLab.Encodings.SymbolicExpressionTreeEncoding;
28using System.Collections.Generic;
29using System.Linq;
30
31namespace HeuristicLab.Problems.DataAnalysis.Regression.Symbolic {
32  /// <summary>
33  /// Represents a solution for a symbolic regression problem which can be visualized in the GUI.
34  /// </summary>
35  [Item("SymbolicRegressionSolution", "Represents a solution for a symbolic regression problem which can be visualized in the GUI.")]
36  [StorableClass]
37  public sealed class SymbolicRegressionSolution : DataAnalysisSolution {
38    public new SymbolicRegressionModel Model {
39      get { return (SymbolicRegressionModel)base.Model; }
40      set { base.Model = value; }
41    }
42
43    public SymbolicRegressionSolution() : base() { }
44    public SymbolicRegressionSolution(DataAnalysisProblemData problemData, SymbolicRegressionModel model)
45      : base(problemData, model) {
46    }
47  }
48}
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