[10469] | 1 | #region License Information
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| 2 |
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| 3 | /* HeuristicLab
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[16565] | 4 | * Copyright (C) 2002-2019 Heuristic and Evolutionary Algorithms Laboratory (HEAL)
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[10469] | 5 | *
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| 6 | * This file is part of HeuristicLab.
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| 7 | *
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| 8 | * HeuristicLab is free software: you can redistribute it and/or modify
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| 9 | * it under the terms of the GNU General Public License as published by
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| 10 | * the Free Software Foundation, either version 3 of the License, or
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| 11 | * (at your option) any later version.
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| 12 | *
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| 13 | * HeuristicLab is distributed in the hope that it will be useful,
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| 14 | * but WITHOUT ANY WARRANTY; without even the implied warranty of
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| 15 | * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
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| 16 | * GNU General Public License for more details.
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| 17 | *
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| 18 | * You should have received a copy of the GNU General Public License
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| 19 | * along with HeuristicLab. If not, see <http://www.gnu.org/licenses/>.
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| 20 | */
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| 21 |
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| 22 | #endregion
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| 23 |
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[10368] | 24 | using HeuristicLab.Common;
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| 25 | using HeuristicLab.Core;
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[12744] | 26 | using HeuristicLab.Data;
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[10469] | 27 | using HeuristicLab.Parameters;
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[16565] | 28 | using HEAL.Attic;
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[10368] | 29 |
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| 30 | namespace HeuristicLab.Problems.DataAnalysis.Symbolic.Regression {
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| 31 | [Item("SymbolicRegressionPruningAnalyzer", "An analyzer that prunes introns from the population.")]
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[16565] | 32 | [StorableType("F1180389-1393-4102-9EEC-E4F183A017F2")]
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[10368] | 33 | public sealed class SymbolicRegressionPruningAnalyzer : SymbolicDataAnalysisSingleObjectivePruningAnalyzer {
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[10469] | 34 | private const string PruningOperatorParameterName = "PruningOperator";
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[12358] | 35 | public IValueParameter<SymbolicRegressionPruningOperator> PruningOperatorParameter {
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| 36 | get { return (IValueParameter<SymbolicRegressionPruningOperator>)Parameters[PruningOperatorParameterName]; }
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[10368] | 37 | }
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[12358] | 38 |
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| 39 | protected override SymbolicDataAnalysisExpressionPruningOperator PruningOperator {
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| 40 | get { return PruningOperatorParameter.Value; }
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[10368] | 41 | }
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| 42 |
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[12358] | 43 | private SymbolicRegressionPruningAnalyzer(SymbolicRegressionPruningAnalyzer original, Cloner cloner) : base(original, cloner) { }
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| 44 | public override IDeepCloneable Clone(Cloner cloner) { return new SymbolicRegressionPruningAnalyzer(this, cloner); }
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| 45 |
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[10378] | 46 | [StorableConstructor]
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[16565] | 47 | private SymbolicRegressionPruningAnalyzer(StorableConstructorFlag _) : base(_) { }
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[10378] | 48 |
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[10368] | 49 | public SymbolicRegressionPruningAnalyzer() {
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[12358] | 50 | Parameters.Add(new ValueParameter<SymbolicRegressionPruningOperator>(PruningOperatorParameterName, "The operator used to prune trees", new SymbolicRegressionPruningOperator(new SymbolicRegressionSolutionImpactValuesCalculator())));
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[10368] | 51 | }
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[12744] | 52 |
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| 53 | [StorableHook(HookType.AfterDeserialization)]
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| 54 | private void AfterDeserialization() {
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| 55 | // BackwardsCompatibility3.3
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| 56 |
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| 57 | #region Backwards compatible code, remove with 3.4
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| 58 | if (Parameters.ContainsKey(PruningOperatorParameterName)) {
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| 59 | var oldParam = Parameters[PruningOperatorParameterName] as ValueParameter<SymbolicDataAnalysisExpressionPruningOperator>;
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| 60 | if (oldParam != null) {
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| 61 | Parameters.Remove(oldParam);
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| 62 | Parameters.Add(new ValueParameter<SymbolicRegressionPruningOperator>(PruningOperatorParameterName, "The operator used to prune trees", new SymbolicRegressionPruningOperator(new SymbolicRegressionSolutionImpactValuesCalculator())));
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| 63 | }
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| 64 | } else {
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| 65 | // not yet contained
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| 66 | Parameters.Add(new ValueParameter<SymbolicRegressionPruningOperator>(PruningOperatorParameterName, "The operator used to prune trees", new SymbolicRegressionPruningOperator(new SymbolicRegressionSolutionImpactValuesCalculator())));
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| 67 | }
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| 68 |
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| 69 |
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| 70 | if (Parameters.ContainsKey("PruneOnlyZeroImpactNodes")) {
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| 71 | PruningOperator.PruneOnlyZeroImpactNodes = ((IFixedValueParameter<BoolValue>)Parameters["PruneOnlyZeroImpactNodes"]).Value.Value;
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| 72 | Parameters.Remove(Parameters["PruneOnlyZeroImpactNodes"]);
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| 73 | }
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| 74 | if (Parameters.ContainsKey("ImpactThreshold")) {
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| 75 | PruningOperator.NodeImpactThreshold = ((IFixedValueParameter<DoubleValue>)Parameters["ImpactThreshold"]).Value.Value;
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| 76 | Parameters.Remove(Parameters["ImpactThreshold"]);
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| 77 | }
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| 78 | if (Parameters.ContainsKey("ImpactValuesCalculator")) {
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| 79 | PruningOperator.ImpactValuesCalculator = ((ValueParameter<SymbolicDataAnalysisSolutionImpactValuesCalculator>)Parameters["ImpactValuesCalculator"]).Value;
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| 80 | Parameters.Remove(Parameters["ImpactValuesCalculator"]);
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| 81 | }
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| 82 |
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| 83 | #endregion
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| 84 | }
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[10368] | 85 | }
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| 86 | }
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