1 | #region License Information
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2 | /* HeuristicLab
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3 | * Copyright (C) 2002-2012 Heuristic and Evolutionary Algorithms Laboratory (HEAL)
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4 | *
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5 | * This file is part of HeuristicLab.
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6 | *
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7 | * HeuristicLab is free software: you can redistribute it and/or modify
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8 | * it under the terms of the GNU General Public License as published by
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9 | * the Free Software Foundation, either version 3 of the License, or
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10 | * (at your option) any later version.
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11 | *
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12 | * HeuristicLab is distributed in the hope that it will be useful,
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13 | * but WITHOUT ANY WARRANTY; without even the implied warranty of
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14 | * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
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15 | * GNU General Public License for more details.
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16 | *
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17 | * You should have received a copy of the GNU General Public License
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18 | * along with HeuristicLab. If not, see <http://www.gnu.org/licenses/>.
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19 | */
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20 | #endregion
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21 |
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22 | using HeuristicLab.Common;
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23 | using HeuristicLab.Core;
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24 | using HeuristicLab.Data;
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25 | using HeuristicLab.Optimization;
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26 | using HeuristicLab.Parameters;
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27 | using HeuristicLab.Persistence.Default.CompositeSerializers.Storable;
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28 |
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29 | namespace HeuristicLab.Problems.DataAnalysis.Symbolic {
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30 | [Item("Generational Sliding Window GP Analyzer", "Analyzer which moves a sliding window every n-th generation over the training partition.")]
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31 | [StorableClass]
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32 | public class GenerationalSlidingWindowAnalyzer : SlidingWindowAnalyzer, IIterationBasedOperator {
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33 | private const string GenerationsIntervalParameterName = "Generation Interval";
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34 | private const string GenerationsIntervalStartParameterName = "Generation Interval Start";
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35 | private const string IterationsParameterName = "Iterations";
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36 | private const string MaximumIterationsParameterName = "Maximum Iterations";
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37 |
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38 | #region parameter properties
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39 | public ILookupParameter<IntValue> IterationsParameter {
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40 | get { return (ILookupParameter<IntValue>)Parameters[IterationsParameterName]; }
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41 | }
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42 | public IValueLookupParameter<IntValue> MaximumIterationsParameter {
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43 | get { return (IValueLookupParameter<IntValue>)Parameters[MaximumIterationsParameterName]; }
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44 | }
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45 | public IFixedValueParameter<IntValue> GenerationsIntervalParameter {
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46 | get { return (IFixedValueParameter<IntValue>)Parameters[GenerationsIntervalParameterName]; }
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47 | }
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48 | public IFixedValueParameter<IntValue> GenerationsIntervalStartParameter {
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49 | get { return (IFixedValueParameter<IntValue>)Parameters[GenerationsIntervalStartParameterName]; }
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50 | }
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51 | #endregion
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52 |
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53 | #region properties
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54 | public IntValue GenerationsInterval {
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55 | get { return GenerationsIntervalParameter.Value; }
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56 | }
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57 | public IntValue GenerationsIntervalStart {
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58 | get { return GenerationsIntervalStartParameter.Value; }
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59 | }
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60 | #endregion
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61 |
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62 |
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63 | [StorableConstructor]
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64 | protected GenerationalSlidingWindowAnalyzer(bool deserializing) : base(deserializing) { }
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65 | protected GenerationalSlidingWindowAnalyzer(GenerationalSlidingWindowAnalyzer original, Cloner cloner) : base(original, cloner) { }
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66 | public override IDeepCloneable Clone(Cloner cloner) {
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67 | return new GenerationalSlidingWindowAnalyzer(this, cloner);
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68 | }
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69 |
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70 | public GenerationalSlidingWindowAnalyzer() {
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71 | Parameters.Add(new LookupParameter<IntValue>(IterationsParameterName, ""));
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72 | Parameters.Add(new ValueLookupParameter<IntValue>(MaximumIterationsParameterName, ""));
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73 | Parameters.Add(new FixedValueParameter<IntValue>(GenerationsIntervalParameterName, "", new IntValue(5)));
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74 | Parameters.Add(new FixedValueParameter<IntValue>(GenerationsIntervalStartParameterName, "", new IntValue(0)));
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75 |
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76 | IterationsParameter.ActualName = "Generations";
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77 | MaximumIterationsParameter.Hidden = true;
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78 | }
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79 |
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80 | protected override bool CheckForUpdate() {
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81 | var iteration = IterationsParameter.ActualValue.Value;
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82 | var start = GenerationsIntervalStart.Value;
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83 | var step = GenerationsInterval.Value;
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84 | if (iteration == 0) return false;
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85 | if (iteration < start) return false;
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86 | if ((iteration - start) % step == 0) return true;
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87 |
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88 | return false;
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89 | }
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90 |
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91 | }
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92 | }
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