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source: branches/DataAnalysis Refactoring/HeuristicLab.Problems.DataAnalysis.Symbolic.Regression/3.4/SymbolicRegressionSolution.cs @ 5649

Last change on this file since 5649 was 5624, checked in by gkronber, 14 years ago

#1418 renamed interface for interpreter, worked on solutions and models and implemented SVM regression.

File size: 2.6 KB
RevLine 
[5607]1#region License Information
2/* HeuristicLab
3 * Copyright (C) 2002-2011 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.Collections.Generic;
23using System.Linq;
24using HeuristicLab.Common;
25using HeuristicLab.Core;
26using HeuristicLab.Data;
27using HeuristicLab.Encodings.SymbolicExpressionTreeEncoding;
28using HeuristicLab.Operators;
29using HeuristicLab.Parameters;
30using HeuristicLab.Persistence.Default.CompositeSerializers.Storable;
31using HeuristicLab.Optimization;
32using System;
33
[5624]34namespace HeuristicLab.Problems.DataAnalysis.Symbolic.Regression {
[5607]35  /// <summary>
36  /// Represents a symbolic regression solution (model + data) and attributes of the solution like accuracy and complexity
37  /// </summary>
38  [StorableClass]
39  [Item(Name = "SymbolicRegressionSolution", Description = "Represents a symbolic regression solution (model + data) and attributes of the solution like accuracy and complexity.")]
[5624]40  public class SymbolicRegressionSolution : RegressionSolution, ISymbolicRegressionSolution {
41    #region ISymbolicRegressionSolution Members
[5607]42
[5624]43    public new ISymbolicRegressionModel Model {
44      get { return (ISymbolicRegressionModel)base.Model; }
[5607]45    }
[5624]46    ISymbolicDataAnalysisModel ISymbolicDataAnalysisSolution.Model {
47      get { return (ISymbolicDataAnalysisModel)base.Model; }
[5607]48    }
49
50    #endregion
51
52    [StorableConstructor]
53    protected SymbolicRegressionSolution(bool deserializing) : base(deserializing) { }
54    protected SymbolicRegressionSolution(SymbolicRegressionSolution original, Cloner cloner)
55      : base(original, cloner) {
56    }
[5624]57    public SymbolicRegressionSolution(ISymbolicRegressionModel model, IRegressionProblemData problemData)
58      : base(model, problemData) {
[5607]59    }
60
61    public override IDeepCloneable Clone(Cloner cloner) {
62      return new SymbolicRegressionSolution(this, cloner);
63    }
64  }
65}
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