1 | #region License Information
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2 | /* HeuristicLab
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3 | * Copyright (C) 2002-2019 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 HEAL.Fossil;
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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 | /// Represents a regression data analysis solution
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30 | /// </summary>
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31 | [StorableType("00A95897-4AA4-406B-B304-5D19AA30C4B1")]
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32 | public class RegressionSolution : RegressionSolutionBase {
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33 | protected readonly Dictionary<int, double> evaluationCache;
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34 |
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35 | [StorableConstructor]
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36 | protected RegressionSolution(StorableConstructorFlag _) : base(_) {
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37 | evaluationCache = new Dictionary<int, double>();
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38 | }
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39 | protected RegressionSolution(RegressionSolution original, Cloner cloner)
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40 | : base(original, cloner) {
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41 | evaluationCache = new Dictionary<int, double>(original.evaluationCache);
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42 | }
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43 | public RegressionSolution(IRegressionModel model, IRegressionProblemData problemData)
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44 | : base(model, problemData) {
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45 | evaluationCache = new Dictionary<int, double>(problemData.Dataset.Rows);
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46 | CalculateRegressionResults();
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47 | }
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48 |
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49 | public override IDeepCloneable Clone(Cloner cloner) {
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50 | return new RegressionSolution(this, cloner);
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51 | }
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52 |
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53 | public override IEnumerable<double> EstimatedValues {
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54 | get { return GetEstimatedValues(Enumerable.Range(0, ProblemData.Dataset.Rows)); }
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55 | }
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56 | public override IEnumerable<double> EstimatedTrainingValues {
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57 | get { return GetEstimatedValues(ProblemData.TrainingIndices); }
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58 | }
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59 | public override IEnumerable<double> EstimatedTestValues {
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60 | get { return GetEstimatedValues(ProblemData.TestIndices); }
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61 | }
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62 |
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63 | public override IEnumerable<double> GetEstimatedValues(IEnumerable<int> rows) {
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64 | var rowsToEvaluate = rows.Where(row => !evaluationCache.ContainsKey(row));
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65 | var rowsEnumerator = rowsToEvaluate.GetEnumerator();
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66 | var valuesEnumerator = Model.GetEstimatedValues(ProblemData.Dataset, rowsToEvaluate).GetEnumerator();
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67 |
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68 | while (rowsEnumerator.MoveNext() & valuesEnumerator.MoveNext()) {
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69 | evaluationCache.Add(rowsEnumerator.Current, valuesEnumerator.Current);
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70 | }
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71 |
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72 | return rows.Select(row => evaluationCache[row]);
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73 | }
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74 |
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75 | protected override void OnProblemDataChanged() {
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76 | evaluationCache.Clear();
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77 | base.OnProblemDataChanged();
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78 | }
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79 |
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80 | protected override void OnModelChanged() {
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81 | evaluationCache.Clear();
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82 | base.OnModelChanged();
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83 | }
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84 | }
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85 | }
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