source: branches/2971_named_intervals/HeuristicLab.Problems.DataAnalysis.Symbolic.Regression/3.4/MultiObjective/SymbolicRegressionMultiObjectiveValidationBestSolutionAnalyzer.cs @ 16628

Last change on this file since 16628 was 16628, checked in by gkronber, 4 months ago

#2971: made branch compile with current version of trunk

File size: 3.6 KB
Line 
1#region License Information
2/* HeuristicLab
3 * Copyright (C) 2002-2018 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 HeuristicLab.Common;
23using HeuristicLab.Core;
24using HeuristicLab.Encodings.SymbolicExpressionTreeEncoding;
25using HeuristicLab.Parameters;
26using HeuristicLab.Persistence.Default.CompositeSerializers.Storable;
27using HEAL.Attic;
28
29namespace HeuristicLab.Problems.DataAnalysis.Symbolic.Regression {
30  /// <summary>
31  /// An operator that analyzes the validation best symbolic regression solution for multi objective symbolic regression problems.
32  /// </summary>
33  [Item("SymbolicRegressionMultiObjectiveValidationBestSolutionAnalyzer", "An operator that analyzes the validation best symbolic regression solution for multi objective symbolic regression problems.")]
34  [StorableType("B34B1A3A-3D6F-4BB7-9D38-A3D40ED56D62")]
35  public sealed class SymbolicRegressionMultiObjectiveValidationBestSolutionAnalyzer : SymbolicDataAnalysisMultiObjectiveValidationBestSolutionAnalyzer<ISymbolicRegressionSolution, ISymbolicRegressionMultiObjectiveEvaluator, IRegressionProblemData>,
36    ISymbolicDataAnalysisBoundedOperator {
37    private const string EstimationLimitsParameterName = "EstimationLimits";
38
39    #region parameter properties
40    public IValueLookupParameter<DoubleLimit> EstimationLimitsParameter {
41      get { return (IValueLookupParameter<DoubleLimit>)Parameters[EstimationLimitsParameterName]; }
42    }
43    #endregion
44
45    [StorableConstructor]
46    private SymbolicRegressionMultiObjectiveValidationBestSolutionAnalyzer(StorableConstructorFlag _) : base(_) { }
47    private SymbolicRegressionMultiObjectiveValidationBestSolutionAnalyzer(SymbolicRegressionMultiObjectiveValidationBestSolutionAnalyzer original, Cloner cloner) : base(original, cloner) { }
48    public SymbolicRegressionMultiObjectiveValidationBestSolutionAnalyzer()
49      : base() {
50      Parameters.Add(new ValueLookupParameter<DoubleLimit>(EstimationLimitsParameterName, "The lower and upper limit for the estimated values produced by the symbolic regression model."));
51    }
52    public override IDeepCloneable Clone(Cloner cloner) {
53      return new SymbolicRegressionMultiObjectiveValidationBestSolutionAnalyzer(this, cloner);
54    }
55
56    protected override ISymbolicRegressionSolution CreateSolution(ISymbolicExpressionTree bestTree, double[] bestQuality) {
57      var model = new SymbolicRegressionModel(ProblemDataParameter.ActualValue.TargetVariable, (ISymbolicExpressionTree)bestTree.Clone(), SymbolicDataAnalysisTreeInterpreterParameter.ActualValue, EstimationLimitsParameter.ActualValue.Lower, EstimationLimitsParameter.ActualValue.Upper);
58      if (ApplyLinearScalingParameter.ActualValue.Value) model.Scale(ProblemDataParameter.ActualValue);
59      return new SymbolicRegressionSolution(model, (IRegressionProblemData)ProblemDataParameter.ActualValue.Clone());
60    }
61  }
62}
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