[8323] | 1 | #region License Information
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| 2 | /* HeuristicLab
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[12018] | 3 | * Copyright (C) 2002-2015 Heuristic and Evolutionary Algorithms Laboratory (HEAL)
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[8323] | 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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[8473] | 22 | using System.Collections.Generic;
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| 23 | using System.Linq;
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[8323] | 24 | using HeuristicLab.Common;
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| 25 | using HeuristicLab.Core;
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| 26 | using HeuristicLab.Persistence.Default.CompositeSerializers.Storable;
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| 27 | using HeuristicLab.Problems.DataAnalysis;
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| 28 |
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[8371] | 29 | namespace HeuristicLab.Algorithms.DataAnalysis {
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[8323] | 30 | /// <summary>
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| 31 | /// Represents a Gaussian process solution for a regression problem which can be visualized in the GUI.
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| 32 | /// </summary>
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| 33 | [Item("GaussianProcessRegressionSolution", "Represents a Gaussian process solution for a regression problem which can be visualized in the GUI.")]
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| 34 | [StorableClass]
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| 35 | public sealed class GaussianProcessRegressionSolution : RegressionSolution, IGaussianProcessSolution {
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[8732] | 36 | private new readonly Dictionary<int, double> evaluationCache;
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[8323] | 37 |
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| 38 | public new IGaussianProcessModel Model {
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| 39 | get { return (IGaussianProcessModel)base.Model; }
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| 40 | set { base.Model = value; }
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| 41 | }
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| 42 |
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| 43 | [StorableConstructor]
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[8732] | 44 | private GaussianProcessRegressionSolution(bool deserializing)
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| 45 | : base(deserializing) {
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| 46 | evaluationCache = new Dictionary<int, double>();
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| 47 |
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| 48 | }
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[8323] | 49 | private GaussianProcessRegressionSolution(GaussianProcessRegressionSolution original, Cloner cloner)
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| 50 | : base(original, cloner) {
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[8732] | 51 | evaluationCache = new Dictionary<int, double>(original.evaluationCache);
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[8323] | 52 | }
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| 53 | public GaussianProcessRegressionSolution(IGaussianProcessModel model, IRegressionProblemData problemData)
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| 54 | : base(model, problemData) {
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[8732] | 55 |
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| 56 | evaluationCache = new Dictionary<int, double>(problemData.Dataset.Rows);
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[8323] | 57 | }
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| 58 |
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| 59 | public override IDeepCloneable Clone(Cloner cloner) {
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| 60 | return new GaussianProcessRegressionSolution(this, cloner);
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| 61 | }
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[8473] | 62 |
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| 63 | public IEnumerable<double> EstimatedVariance {
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| 64 | get { return GetEstimatedVariance(Enumerable.Range(0, ProblemData.Dataset.Rows)); }
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| 65 | }
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| 66 | public IEnumerable<double> EstimatedTrainingVariance {
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| 67 | get { return GetEstimatedVariance(ProblemData.TrainingIndices); }
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| 68 | }
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| 69 | public IEnumerable<double> EstimatedTestVariance {
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| 70 | get { return GetEstimatedVariance(ProblemData.TestIndices); }
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| 71 | }
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| 72 |
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| 73 | public IEnumerable<double> GetEstimatedVariance(IEnumerable<int> rows) {
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[8732] | 74 | var rowsToEvaluate = rows.Except(evaluationCache.Keys);
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| 75 | var rowsEnumerator = rowsToEvaluate.GetEnumerator();
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| 76 | var valuesEnumerator = Model.GetEstimatedVariance(ProblemData.Dataset, rowsToEvaluate).GetEnumerator();
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| 77 |
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| 78 | while (rowsEnumerator.MoveNext() & valuesEnumerator.MoveNext()) {
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| 79 | evaluationCache.Add(rowsEnumerator.Current, valuesEnumerator.Current);
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| 80 | }
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| 81 |
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| 82 | return rows.Select(row => evaluationCache[row]);
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[8473] | 83 | }
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[8732] | 84 |
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| 85 | protected override void OnModelChanged() {
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| 86 | evaluationCache.Clear();
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| 87 | base.OnModelChanged();
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| 88 | }
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| 89 | protected override void OnProblemDataChanged() {
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| 90 | evaluationCache.Clear();
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| 91 | base.OnProblemDataChanged();
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| 92 | }
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[8323] | 93 | }
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| 94 | }
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