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source: branches/GBT/HeuristicLab.Problems.DataAnalysis.Symbolic.Classification/3.4/SymbolicClassificationPruningAnalyzer.cs @ 12448

Last change on this file since 12448 was 12378, checked in by gkronber, 10 years ago

Merged revision(s) 12333-12365 from trunk/sources:
#2373: Corrected typo in RandomBinaryVectorCreator by implementing an after-deserialization-hook.

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#2359: Refactored pruning operators and analyzers.

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#2359: Removed commented code from pruning analyzer.

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#2378: Vertex.cs: Fixed bug in Label setter.
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#2359: The changes in r12358 look fine to me. Added total number of pruned nodes in the analyzer's data table. Removed unused parameter names in the SymbolicDataAnalysisSingleObjectivePruningAnalyzer.
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#2345: Fixed x-axis maximum in error characteristics curve.

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File size: 2.4 KB
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1#region License Information
2/* HeuristicLab
3 * Copyright (C) 2002-2015 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.Parameters;
25using HeuristicLab.Persistence.Default.CompositeSerializers.Storable;
26
27namespace HeuristicLab.Problems.DataAnalysis.Symbolic.Classification {
28  [Item("SymbolicClassificationPruningAnalyzer", "An analyzer that prunes introns from the population.")]
29  [StorableClass]
30  public sealed class SymbolicClassificationPruningAnalyzer : SymbolicDataAnalysisSingleObjectivePruningAnalyzer {
31    private const string PruningOperatorParameterName = "PruningOperator";
32    public IValueParameter<SymbolicClassificationPruningOperator> PruningOperatorParameter {
33      get { return (IValueParameter<SymbolicClassificationPruningOperator>)Parameters[PruningOperatorParameterName]; }
34    }
35
36    protected override SymbolicDataAnalysisExpressionPruningOperator PruningOperator {
37      get { return PruningOperatorParameter.Value; }
38    }
39
40    private SymbolicClassificationPruningAnalyzer(SymbolicClassificationPruningAnalyzer original, Cloner cloner) : base(original, cloner) { }
41    public override IDeepCloneable Clone(Cloner cloner) { return new SymbolicClassificationPruningAnalyzer(this, cloner); }
42
43    [StorableConstructor]
44    private SymbolicClassificationPruningAnalyzer(bool deserializing) : base(deserializing) { }
45
46    public SymbolicClassificationPruningAnalyzer() {
47      Parameters.Add(new ValueParameter<SymbolicDataAnalysisExpressionPruningOperator>(PruningOperatorParameterName, "The operator used to prune trees", new SymbolicClassificationPruningOperator(new SymbolicClassificationSolutionImpactValuesCalculator())));
48    }
49  }
50}
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