[7531] | 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 System.Collections.Generic;
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| 23 | using System.Linq;
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| 24 | using HeuristicLab.Common;
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| 25 | using HeuristicLab.Persistence.Default.CompositeSerializers.Storable;
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| 26 |
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| 27 | namespace HeuristicLab.Problems.DataAnalysis {
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| 28 | /// <summary>
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| 29 | /// Base class for weight calculators for classification solutions in an ensemble.
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| 30 | /// </summary>
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| 31 | [StorableClass]
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| 32 | public abstract class DiscriminantClassificationWeightCalculator : ClassificationWeightCalculator {
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| 33 | [StorableConstructor]
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| 34 | protected DiscriminantClassificationWeightCalculator(bool deserializing) : base(deserializing) { }
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| 35 | protected DiscriminantClassificationWeightCalculator(DiscriminantClassificationWeightCalculator original, Cloner cloner)
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| 36 | : base(original, cloner) {
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| 37 | }
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| 38 | public DiscriminantClassificationWeightCalculator()
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| 39 | : base() {
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| 40 | }
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| 41 |
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[7549] | 42 | protected override IEnumerable<double> CalculateWeights(IEnumerable<IClassificationSolution> classificationSolutions) {
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[7531] | 43 | if (!classificationSolutions.All(x => x is IDiscriminantFunctionClassificationSolution))
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[7549] | 44 | return Enumerable.Repeat<double>(1.0, classificationSolutions.Count());
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[7531] | 45 |
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[7549] | 46 | IEnumerable<IDiscriminantFunctionClassificationSolution> discriminantSolutions = classificationSolutions.Cast<IDiscriminantFunctionClassificationSolution>();
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[7531] | 47 |
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| 48 | return DiscriminantCalculateWeights(discriminantSolutions);
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| 49 | }
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| 50 |
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[7549] | 51 | protected abstract IEnumerable<double> DiscriminantCalculateWeights(IEnumerable<IDiscriminantFunctionClassificationSolution> discriminantSolutions);
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[7531] | 52 |
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[7549] | 53 | public override IEnumerable<double> AggregateEstimatedClassValues(IEnumerable<IClassificationSolution> solutions, Dataset dataset, IEnumerable<int> rows, CheckPoint handler) {
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| 54 | if (!solutions.All(x => x is IDiscriminantFunctionClassificationSolution))
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[8177] | 55 | return Enumerable.Repeat<double>(double.NaN, rows.Count());
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[7531] | 56 |
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[7549] | 57 | IEnumerable<IDiscriminantFunctionClassificationSolution> discriminantSolutions = solutions.Cast<IDiscriminantFunctionClassificationSolution>();
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[7531] | 58 |
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[7549] | 59 | IEnumerable<IDictionary<IClassificationSolution, double>> estimatedClassValues = GetEstimatedClassValues(solutions, dataset, rows, handler);
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[7729] | 60 | IEnumerable<IDictionary<IDiscriminantFunctionClassificationSolution, double>> estimatedValues = GetEstimatedValues(discriminantSolutions, dataset, rows, handler);
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[7531] | 61 |
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| 62 | return from zip in estimatedClassValues.Zip(estimatedValues, (classValues, values) => new { ClassValues = classValues, Values = values })
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| 63 | select DiscriminantAggregateEstimatedClassValues(zip.ClassValues, zip.Values);
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| 64 | }
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| 65 |
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[7729] | 66 | protected virtual double DiscriminantAggregateEstimatedClassValues(IDictionary<IClassificationSolution, double> estimatedClassValues, IDictionary<IDiscriminantFunctionClassificationSolution, double> estimatedValues) {
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[8101] | 67 | return base.AggregateEstimatedClassValues(estimatedClassValues);
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[7531] | 68 | }
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| 69 |
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[7729] | 70 | protected IEnumerable<IDictionary<IDiscriminantFunctionClassificationSolution, double>> GetEstimatedValues(IEnumerable<IDiscriminantFunctionClassificationSolution> solutions, Dataset dataset, IEnumerable<int> rows, CheckPoint handler) {
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[7549] | 71 | var estimatedValuesEnumerators = (from solution in solutions
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[7729] | 72 | select new { Solution = solution, EstimatedValuesEnumerator = solution.Model.GetEstimatedValues(dataset, rows).GetEnumerator() })
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[7549] | 73 | .ToList();
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[7531] | 74 |
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[7549] | 75 | var rowEnumerator = rows.GetEnumerator();
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| 76 | while (rowEnumerator.MoveNext() && estimatedValuesEnumerators.All(x => x.EstimatedValuesEnumerator.MoveNext())) {
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| 77 | yield return (from enumerator in estimatedValuesEnumerators
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| 78 | where handler(enumerator.Solution.ProblemData, rowEnumerator.Current)
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| 79 | select enumerator)
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[7729] | 80 | .ToDictionary(x => x.Solution, x => x.EstimatedValuesEnumerator.Current);
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[7531] | 81 | }
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| 82 | }
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[7562] | 83 |
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[8814] | 84 | public sealed override double GetConfidence(IEnumerable<IClassificationSolution> solutions, int index, double estimatedClassValue, CheckPoint handler) {
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[7562] | 85 | if (solutions.Count() < 1 || !solutions.All(x => x is IDiscriminantFunctionClassificationSolution))
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| 86 | return double.NaN;
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| 87 |
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| 88 | IEnumerable<IDiscriminantFunctionClassificationSolution> discriminantSolutions = solutions.Cast<IDiscriminantFunctionClassificationSolution>();
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| 89 |
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[8814] | 90 | return GetDiscriminantConfidence(discriminantSolutions, index, estimatedClassValue, handler);
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[7562] | 91 | }
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| 92 |
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[8814] | 93 | protected virtual double GetDiscriminantConfidence(IEnumerable<IDiscriminantFunctionClassificationSolution> solutions, int index, double estimatedClassValue, CheckPoint handler) {
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| 94 | return base.GetConfidence(solutions, index, estimatedClassValue, handler);
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[7562] | 95 | }
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[8297] | 96 |
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[8814] | 97 | public sealed override IEnumerable<double> GetConfidence(IEnumerable<IClassificationSolution> solutions, IEnumerable<int> indices, IEnumerable<double> estimatedClassValue, CheckPoint handler) {
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[8297] | 98 | if (solutions.Count() < 1 || !solutions.All(x => x is IDiscriminantFunctionClassificationSolution))
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| 99 | return Enumerable.Repeat(double.NaN, indices.Count());
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| 100 |
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| 101 | IEnumerable<IDiscriminantFunctionClassificationSolution> discriminantSolutions = solutions.Cast<IDiscriminantFunctionClassificationSolution>();
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| 102 |
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[8814] | 103 | return GetDiscriminantConfidence(discriminantSolutions, indices, estimatedClassValue, handler);
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[8297] | 104 | }
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| 105 |
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[8814] | 106 | public virtual IEnumerable<double> GetDiscriminantConfidence(IEnumerable<IDiscriminantFunctionClassificationSolution> solutions, IEnumerable<int> indices, IEnumerable<double> estimatedClassValue, CheckPoint handler) {
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| 107 | return base.GetConfidence(solutions, indices, estimatedClassValue, handler);
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[8297] | 108 | }
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[7531] | 109 | }
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| 110 | }
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