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source: branches/DataAnalysis Refactoring/HeuristicLab.Problems.DataAnalysis.Symbolic.Classification/3.4/MultiObjective/SymbolicClassificationMultiObjectiveTrainingBestSolutionAnalyzer.cs @ 5685

Last change on this file since 5685 was 5685, checked in by gkronber, 13 years ago

#1418 Implemented validation best solution analyzers for symbolic classification and regression, added analyzers to symbolic data analysis problem classes and changed details of parameter wiring in problem classes.

File size: 4.7 KB
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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.Optimization;
30using HeuristicLab.Parameters;
31using HeuristicLab.Persistence.Default.CompositeSerializers.Storable;
32
33namespace HeuristicLab.Problems.DataAnalysis.Symbolic.Classification {
34  /// <summary>
35  /// An operator that analyzes the training best symbolic classification solution for multi objective symbolic classification problems.
36  /// </summary>
37  [Item("SymbolicClassificationMultiObjectiveTrainingBestSolutionAnalyzer", "An operator that analyzes the training best symbolic classification solution for multi objective symbolic classification problems.")]
38  [StorableClass]
39  public sealed class SymbolicClassificationMultiObjectiveTrainingBestSolutionAnalyzer : SymbolicDataAnalysisMultiObjectiveTrainingBestSolutionAnalyzer<ISymbolicClassificationSolution>,
40    ISymbolicDataAnalysisInterpreterOperator {
41    private const string ProblemDataParameterName = "ProblemData";
42    private const string SymbolicDataAnalysisTreeInterpreterParameterName = "SymbolicDataAnalysisTreeInterpreter";
43    #region parameter properties
44    public ILookupParameter<IClassificationProblemData> ProblemDataParameter {
45      get { return (ILookupParameter<IClassificationProblemData>)Parameters[ProblemDataParameterName]; }
46    }
47    public ILookupParameter<ISymbolicDataAnalysisExpressionTreeInterpreter> SymbolicDataAnalysisTreeInterpreterParameter {
48      get { return (ILookupParameter<ISymbolicDataAnalysisExpressionTreeInterpreter>)Parameters[SymbolicDataAnalysisTreeInterpreterParameterName]; }
49    }
50    #endregion
51    #region properties
52    public IClassificationProblemData ProblemData {
53      get { return ProblemDataParameter.ActualValue; }
54    }
55    public ISymbolicDataAnalysisExpressionTreeInterpreter SymbolicDataAnalysisTreeInterpreter {
56      get { return SymbolicDataAnalysisTreeInterpreterParameter.ActualValue; }
57    }
58    #endregion
59    [StorableConstructor]
60    private SymbolicClassificationMultiObjectiveTrainingBestSolutionAnalyzer(bool deserializing) : base(deserializing) { }
61    private SymbolicClassificationMultiObjectiveTrainingBestSolutionAnalyzer(SymbolicClassificationMultiObjectiveTrainingBestSolutionAnalyzer original, Cloner cloner) : base(original, cloner) { }
62    public SymbolicClassificationMultiObjectiveTrainingBestSolutionAnalyzer()
63      : base() {
64      Parameters.Add(new LookupParameter<IClassificationProblemData>(ProblemDataParameterName, "The problem data for the symbolic classification solution."));
65      Parameters.Add(new LookupParameter<ISymbolicDataAnalysisExpressionTreeInterpreter>(SymbolicDataAnalysisTreeInterpreterParameterName, "The symbolic data analysis tree interpreter for the symbolic expression tree."));
66    }
67    public override IDeepCloneable Clone(Cloner cloner) {
68      return new SymbolicClassificationMultiObjectiveTrainingBestSolutionAnalyzer(this, cloner);
69    }
70
71
72    protected override ISymbolicClassificationSolution CreateSolution(ISymbolicExpressionTree bestTree, double[] bestQuality) {
73      double[] classValues;
74      double[] thresholds;
75      var estimatedValues = SymbolicDataAnalysisTreeInterpreter.GetSymbolicExpressionTreeValues(bestTree, ProblemData.Dataset, ProblemData.TrainingIndizes);
76      var targetValues = ProblemData.Dataset.GetEnumeratedVariableValues(ProblemData.TargetVariable, ProblemData.TrainingIndizes);
77      AccuracyMaximizationThresholdCalculator.CalculateThresholds(ProblemData, estimatedValues, targetValues, out classValues, out thresholds);
78      var model = new SymbolicDiscriminantFunctionClassificationModel(bestTree, SymbolicDataAnalysisTreeInterpreter, classValues, thresholds);
79      return new SymbolicDiscriminantFunctionClassificationSolution(model, ProblemData);
80    }
81  }
82}
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