[5607] | 1 | #region License Information
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| 2 | /* HeuristicLab
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[14186] | 3 | * Copyright (C) 2002-2016 Heuristic and Evolutionary Algorithms Laboratory (HEAL)
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[5607] | 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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[6059] | 22 | using System;
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| 23 | using System.Collections.Generic;
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[5882] | 24 | using System.Linq;
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[5607] | 25 | using HeuristicLab.Common;
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| 26 | using HeuristicLab.Core;
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| 27 | using HeuristicLab.Data;
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| 28 | using HeuristicLab.Parameters;
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| 29 | using HeuristicLab.Persistence.Default.CompositeSerializers.Storable;
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[5882] | 30 | using HeuristicLab.Random;
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[5607] | 31 |
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| 32 | namespace HeuristicLab.Problems.DataAnalysis.Symbolic {
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| 33 | /// <summary>
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| 34 | /// Abstract base class for symbolic data analysis analyzers that validate a solution on a separate data partition using the evaluator.
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| 35 | /// </summary>
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| 36 | [StorableClass]
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[5747] | 37 | public abstract class SymbolicDataAnalysisMultiObjectiveValidationAnalyzer<T, U> : SymbolicDataAnalysisMultiObjectiveAnalyzer,
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[5607] | 38 | ISymbolicDataAnalysisValidationAnalyzer<T, U>
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[5747] | 39 | where T : class, ISymbolicDataAnalysisMultiObjectiveEvaluator<U>
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[5607] | 40 | where U : class, IDataAnalysisProblemData {
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[5882] | 41 | private const string RandomParameterName = "Random";
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[5607] | 42 | private const string ProblemDataParameterName = "ProblemData";
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| 43 | private const string EvaluatorParameterName = "Evaluator";
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[5685] | 44 | private const string SymbolicDataAnalysisTreeInterpreterParameterName = "SymbolicDataAnalysisTreeInterpreter";
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[5759] | 45 | private const string ValidationPartitionParameterName = "ValidationPartition";
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| 46 | private const string RelativeNumberOfEvaluatedSamplesParameterName = "RelativeNumberOfEvaluatedSamples";
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[5607] | 47 |
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| 48 | #region parameter properties
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[5882] | 49 | public ILookupParameter<IRandom> RandomParameter {
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| 50 | get { return (ILookupParameter<IRandom>)Parameters[RandomParameterName]; }
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| 51 | }
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[5607] | 52 | public ILookupParameter<U> ProblemDataParameter {
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| 53 | get { return (ILookupParameter<U>)Parameters[ProblemDataParameterName]; }
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| 54 | }
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| 55 | public ILookupParameter<T> EvaluatorParameter {
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| 56 | get { return (ILookupParameter<T>)Parameters[EvaluatorParameterName]; }
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| 57 | }
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[5685] | 58 | public ILookupParameter<ISymbolicDataAnalysisExpressionTreeInterpreter> SymbolicDataAnalysisTreeInterpreterParameter {
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| 59 | get { return (ILookupParameter<ISymbolicDataAnalysisExpressionTreeInterpreter>)Parameters[SymbolicDataAnalysisTreeInterpreterParameterName]; }
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| 60 | }
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[5759] | 61 | public IValueLookupParameter<IntRange> ValidationPartitionParameter {
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| 62 | get { return (IValueLookupParameter<IntRange>)Parameters[ValidationPartitionParameterName]; }
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[5607] | 63 | }
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[5759] | 64 | public IValueLookupParameter<PercentValue> RelativeNumberOfEvaluatedSamplesParameter {
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| 65 | get { return (IValueLookupParameter<PercentValue>)Parameters[RelativeNumberOfEvaluatedSamplesParameterName]; }
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[5607] | 66 | }
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| 67 | #endregion
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[5685] | 68 |
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[5607] | 69 | [StorableConstructor]
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[5747] | 70 | protected SymbolicDataAnalysisMultiObjectiveValidationAnalyzer(bool deserializing) : base(deserializing) { }
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| 71 | protected SymbolicDataAnalysisMultiObjectiveValidationAnalyzer(SymbolicDataAnalysisMultiObjectiveValidationAnalyzer<T, U> original, Cloner cloner)
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[5607] | 72 | : base(original, cloner) {
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| 73 | }
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[5747] | 74 | public SymbolicDataAnalysisMultiObjectiveValidationAnalyzer()
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[5607] | 75 | : base() {
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[6059] | 76 | Parameters.Add(new ValueLookupParameter<IRandom>(RandomParameterName, "The random generator to use."));
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[5607] | 77 | Parameters.Add(new LookupParameter<U>(ProblemDataParameterName, "The problem data of the symbolic data analysis problem."));
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| 78 | Parameters.Add(new LookupParameter<T>(EvaluatorParameterName, "The operator to use for fitness evaluation on the validation partition."));
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[5685] | 79 | Parameters.Add(new LookupParameter<ISymbolicDataAnalysisExpressionTreeInterpreter>(SymbolicDataAnalysisTreeInterpreterParameterName, "The interpreter for symbolic data analysis expression trees."));
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[7739] | 80 | Parameters.Add(new ValueLookupParameter<IntRange>(ValidationPartitionParameterName, "The validation partition."));
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[5759] | 81 | 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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[5607] | 82 | }
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[5882] | 83 |
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| 84 | protected IEnumerable<int> GenerateRowsToEvaluate() {
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| 85 | int seed = RandomParameter.ActualValue.Next();
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| 86 | int samplesStart = ValidationPartitionParameter.ActualValue.Start;
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| 87 | int samplesEnd = ValidationPartitionParameter.ActualValue.End;
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| 88 | int testPartitionStart = ProblemDataParameter.ActualValue.TestPartition.Start;
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| 89 | int testPartitionEnd = ProblemDataParameter.ActualValue.TestPartition.End;
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| 90 |
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| 91 | if (samplesEnd < samplesStart) throw new ArgumentException("Start value is larger than end value.");
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| 92 | int count = (int)((samplesEnd - samplesStart) * RelativeNumberOfEvaluatedSamplesParameter.ActualValue.Value);
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| 93 | if (count == 0) count = 1;
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| 94 | return RandomEnumerable.SampleRandomNumbers(seed, samplesStart, samplesEnd, count)
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| 95 | .Where(i => i < testPartitionStart || testPartitionEnd <= i);
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| 96 | }
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[5607] | 97 | }
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| 98 | }
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