source: branches/DataAnalysis Refactoring/HeuristicLab.Problems.DataAnalysis.Symbolic.Classification/3.4/SymbolicDiscriminantFunctionClassificationSolution.cs @ 5717

Last change on this file since 5717 was 5717, checked in by gkronber, 11 years ago

#1418 Implemented interactive simplifier views for symbolic classification and regression.

File size: 2.9 KB
Line 
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
34namespace HeuristicLab.Problems.DataAnalysis.Symbolic.Classification {
35  /// <summary>
36  /// Represents a symbolic classification solution (model + data) and attributes of the solution like accuracy and complexity
37  /// </summary>
38  [StorableClass]
39  [Item(Name = "SymbolicDiscriminantFunctionClassificationSolution", Description = "Represents a symbolic classification solution (model + data) and attributes of the solution like accuracy and complexity.")]
40  public sealed class SymbolicDiscriminantFunctionClassificationSolution : DiscriminantFunctionClassificationSolution, ISymbolicClassificationSolution {
41
42    public new ISymbolicDiscriminantFunctionClassificationModel Model {
43      get { return (ISymbolicDiscriminantFunctionClassificationModel)base.Model; }
44      set { base.Model = value; }
45    }
46
47    ISymbolicClassificationModel ISymbolicClassificationSolution.Model {
48      get { return Model; }
49    }
50
51    ISymbolicDataAnalysisModel ISymbolicDataAnalysisSolution.Model {
52      get { return Model; }
53    }
54
55    [StorableConstructor]
56    private SymbolicDiscriminantFunctionClassificationSolution(bool deserializing) : base(deserializing) { }
57    private SymbolicDiscriminantFunctionClassificationSolution(SymbolicDiscriminantFunctionClassificationSolution original, Cloner cloner)
58      : base(original, cloner) {
59    }
60    public SymbolicDiscriminantFunctionClassificationSolution(ISymbolicDiscriminantFunctionClassificationModel model, IClassificationProblemData problemData)
61      : base(model, problemData) {
62    }
63
64    public override IDeepCloneable Clone(Cloner cloner) {
65      return new SymbolicDiscriminantFunctionClassificationSolution(this, cloner);
66    }
67  }
68}
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