[5649] | 1 | #region License Information
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| 2 | /* HeuristicLab
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[7259] | 3 | * Copyright (C) 2002-2012 Heuristic and Evolutionary Algorithms Laboratory (HEAL)
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[5649] | 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.Core;
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[6411] | 26 | using HeuristicLab.Persistence.Default.CompositeSerializers.Storable;
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[5649] | 27 |
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| 28 | namespace HeuristicLab.Problems.DataAnalysis {
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| 29 | /// <summary>
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| 30 | /// Represents a classification solution that uses a discriminant function and classification thresholds.
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| 31 | /// </summary>
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| 32 | [StorableClass]
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| 33 | [Item("DiscriminantFunctionClassificationSolution", "Represents a classification solution that uses a discriminant function and classification thresholds.")]
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[8811] | 34 | public class DiscriminantFunctionClassificationSolution : DiscriminantFunctionClassificationSolutionBase {
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[6606] | 35 | protected readonly Dictionary<int, double> valueEvaluationCache;
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| 36 | protected readonly Dictionary<int, double> classValueEvaluationCache;
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[5885] | 37 |
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[5649] | 38 | [StorableConstructor]
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[6606] | 39 | protected DiscriminantFunctionClassificationSolution(bool deserializing)
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| 40 | : base(deserializing) {
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| 41 | valueEvaluationCache = new Dictionary<int, double>();
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| 42 | classValueEvaluationCache = new Dictionary<int, double>();
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| 43 | }
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[5649] | 44 | protected DiscriminantFunctionClassificationSolution(DiscriminantFunctionClassificationSolution original, Cloner cloner)
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| 45 | : base(original, cloner) {
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[6606] | 46 | valueEvaluationCache = new Dictionary<int, double>(original.valueEvaluationCache);
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| 47 | classValueEvaluationCache = new Dictionary<int, double>(original.classValueEvaluationCache);
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[5649] | 48 | }
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[8811] | 49 | public DiscriminantFunctionClassificationSolution(IDiscriminantFunctionClassificationModel model, IClassificationProblemData problemData)
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[5649] | 50 | : base(model, problemData) {
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[6606] | 51 | valueEvaluationCache = new Dictionary<int, double>();
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| 52 | classValueEvaluationCache = new Dictionary<int, double>();
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[8811] | 53 | CalculateRegressionResults();
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| 54 | CalculateClassificationResults();
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[5649] | 55 | }
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| 56 |
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[8811] | 57 | public override IDeepCloneable Clone(Cloner cloner) {
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| 58 | return new DiscriminantFunctionClassificationSolution(this, cloner);
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| 59 | }
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| 60 |
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[6589] | 61 | public override IEnumerable<double> EstimatedClassValues {
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| 62 | get { return GetEstimatedClassValues(Enumerable.Range(0, ProblemData.Dataset.Rows)); }
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[5736] | 63 | }
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[6589] | 64 | public override IEnumerable<double> EstimatedTrainingClassValues {
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[8508] | 65 | get { return GetEstimatedClassValues(ProblemData.TrainingIndices); }
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[6411] | 66 | }
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[6589] | 67 | public override IEnumerable<double> EstimatedTestClassValues {
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[8508] | 68 | get { return GetEstimatedClassValues(ProblemData.TestIndices); }
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[6411] | 69 | }
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| 70 |
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[6589] | 71 | public override IEnumerable<double> GetEstimatedClassValues(IEnumerable<int> rows) {
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[6606] | 72 | var rowsToEvaluate = rows.Except(classValueEvaluationCache.Keys);
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| 73 | var rowsEnumerator = rowsToEvaluate.GetEnumerator();
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| 74 | var valuesEnumerator = Model.GetEstimatedClassValues(ProblemData.Dataset, rowsToEvaluate).GetEnumerator();
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| 75 |
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| 76 | while (rowsEnumerator.MoveNext() & valuesEnumerator.MoveNext()) {
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| 77 | classValueEvaluationCache.Add(rowsEnumerator.Current, valuesEnumerator.Current);
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| 78 | }
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| 79 |
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| 80 | return rows.Select(row => classValueEvaluationCache[row]);
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[5885] | 81 | }
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| 82 |
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[5736] | 83 |
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[6589] | 84 | public override IEnumerable<double> EstimatedValues {
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[5649] | 85 | get { return GetEstimatedValues(Enumerable.Range(0, ProblemData.Dataset.Rows)); }
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| 86 | }
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[6589] | 87 | public override IEnumerable<double> EstimatedTrainingValues {
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[8508] | 88 | get { return GetEstimatedValues(ProblemData.TrainingIndices); }
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[5649] | 89 | }
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[6589] | 90 | public override IEnumerable<double> EstimatedTestValues {
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[8508] | 91 | get { return GetEstimatedValues(ProblemData.TestIndices); }
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[5649] | 92 | }
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| 93 |
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[6589] | 94 | public override IEnumerable<double> GetEstimatedValues(IEnumerable<int> rows) {
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[6606] | 95 | var rowsToEvaluate = rows.Except(valueEvaluationCache.Keys);
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| 96 | var rowsEnumerator = rowsToEvaluate.GetEnumerator();
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| 97 | var valuesEnumerator = Model.GetEstimatedValues(ProblemData.Dataset, rowsToEvaluate).GetEnumerator();
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| 98 |
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| 99 | while (rowsEnumerator.MoveNext() & valuesEnumerator.MoveNext()) {
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| 100 | valueEvaluationCache.Add(rowsEnumerator.Current, valuesEnumerator.Current);
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| 101 | }
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| 102 |
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| 103 | return rows.Select(row => valueEvaluationCache[row]);
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[5649] | 104 | }
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[6606] | 105 |
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| 106 | protected override void OnModelChanged() {
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| 107 | valueEvaluationCache.Clear();
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| 108 | classValueEvaluationCache.Clear();
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| 109 | base.OnModelChanged();
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| 110 | }
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| 111 | protected override void OnModelThresholdsChanged(System.EventArgs e) {
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| 112 | classValueEvaluationCache.Clear();
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| 113 | base.OnModelThresholdsChanged(e);
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| 114 | }
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| 115 | protected override void OnProblemDataChanged() {
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| 116 | valueEvaluationCache.Clear();
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| 117 | classValueEvaluationCache.Clear();
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| 118 | base.OnProblemDataChanged();
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| 119 | }
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[5649] | 120 | }
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| 121 | }
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