1 | #region License Information
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2 | /* HeuristicLab
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3 | * Copyright (C) 2002-2011 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.Parameters;
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26 | using HeuristicLab.Persistence.Default.CompositeSerializers.Storable;
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27 |
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28 | namespace HeuristicLab.Problems.DataAnalysis.Symbolic {
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29 | /// <summary>
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30 | /// Abstract base class for symbolic data analysis analyzers that validate a solution on a separate data partition using the evaluator.
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31 | /// </summary>
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32 | [StorableClass]
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33 | public abstract class SymbolicDataAnalysisMultiObjectiveValidationAnalyzer<T, U> : SymbolicDataAnalysisMultiObjectiveAnalyzer,
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34 | ISymbolicDataAnalysisValidationAnalyzer<T, U>
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35 | where T : class, ISymbolicDataAnalysisMultiObjectiveEvaluator<U>
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36 | where U : class, IDataAnalysisProblemData {
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37 | private const string ProblemDataParameterName = "ProblemData";
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38 | private const string EvaluatorParameterName = "Evaluator";
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39 | private const string SymbolicDataAnalysisTreeInterpreterParameterName = "SymbolicDataAnalysisTreeInterpreter";
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40 | private const string ValidationPartitionParameterName = "ValidationPartition";
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41 | private const string RelativeNumberOfEvaluatedSamplesParameterName = "RelativeNumberOfEvaluatedSamples";
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42 |
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43 | #region parameter properties
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44 | public ILookupParameter<U> ProblemDataParameter {
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45 | get { return (ILookupParameter<U>)Parameters[ProblemDataParameterName]; }
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46 | }
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47 | public ILookupParameter<T> EvaluatorParameter {
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48 | get { return (ILookupParameter<T>)Parameters[EvaluatorParameterName]; }
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49 | }
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50 | public ILookupParameter<ISymbolicDataAnalysisExpressionTreeInterpreter> SymbolicDataAnalysisTreeInterpreterParameter {
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51 | get { return (ILookupParameter<ISymbolicDataAnalysisExpressionTreeInterpreter>)Parameters[SymbolicDataAnalysisTreeInterpreterParameterName]; }
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52 | }
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53 | public IValueLookupParameter<IntRange> ValidationPartitionParameter {
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54 | get { return (IValueLookupParameter<IntRange>)Parameters[ValidationPartitionParameterName]; }
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55 | }
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56 | public IValueLookupParameter<PercentValue> RelativeNumberOfEvaluatedSamplesParameter {
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57 | get { return (IValueLookupParameter<PercentValue>)Parameters[RelativeNumberOfEvaluatedSamplesParameterName]; }
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58 | }
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59 | #endregion
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60 |
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61 | [StorableConstructor]
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62 | protected SymbolicDataAnalysisMultiObjectiveValidationAnalyzer(bool deserializing) : base(deserializing) { }
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63 | protected SymbolicDataAnalysisMultiObjectiveValidationAnalyzer(SymbolicDataAnalysisMultiObjectiveValidationAnalyzer<T, U> original, Cloner cloner)
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64 | : base(original, cloner) {
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65 | }
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66 | public SymbolicDataAnalysisMultiObjectiveValidationAnalyzer()
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67 | : base() {
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68 | Parameters.Add(new LookupParameter<U>(ProblemDataParameterName, "The problem data of the symbolic data analysis problem."));
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69 | Parameters.Add(new LookupParameter<T>(EvaluatorParameterName, "The operator to use for fitness evaluation on the validation partition."));
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70 | Parameters.Add(new LookupParameter<ISymbolicDataAnalysisExpressionTreeInterpreter>(SymbolicDataAnalysisTreeInterpreterParameterName, "The interpreter for symbolic data analysis expression trees."));
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71 | Parameters.Add(new ValueLookupParameter<IntRange>(ValidationPartitionParameterName, "Thes validation partition."));
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72 | Parameters.Add(new ValueLookupParameter<PercentValue>(RelativeNumberOfEvaluatedSamplesParameterName, "The relative number of samples of the dataset partition, which should be randomly chosen for evaluation between the start and end index."));
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73 | }
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74 | }
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75 | }
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