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source: trunk/sources/HeuristicLab.Problems.DataAnalysis/3.4/Implementation/Regression/RegressionSolution.cs @ 13985

Last change on this file since 13985 was 12509, checked in by mkommend, 9 years ago

#2276: Reintegrated branch for dataset refactoring.

File size: 3.2 KB
RevLine 
[5620]1#region License Information
2/* HeuristicLab
[12012]3 * Copyright (C) 2002-2015 Heuristic and Evolutionary Algorithms Laboratory (HEAL)
[5620]4 *
5 * This file is part of HeuristicLab.
6 *
7 * HeuristicLab is free software: you can redistribute it and/or modify
8 * it under the terms of the GNU General Public License as published by
9 * the Free Software Foundation, either version 3 of the License, or
10 * (at your option) any later version.
11 *
12 * HeuristicLab is distributed in the hope that it will be useful,
13 * but WITHOUT ANY WARRANTY; without even the implied warranty of
14 * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
15 * GNU General Public License for more details.
16 *
17 * You should have received a copy of the GNU General Public License
18 * along with HeuristicLab. If not, see <http://www.gnu.org/licenses/>.
19 */
20#endregion
21
22using System.Collections.Generic;
23using System.Linq;
24using HeuristicLab.Common;
25using HeuristicLab.Persistence.Default.CompositeSerializers.Storable;
26
27namespace HeuristicLab.Problems.DataAnalysis {
28  /// <summary>
[6184]29  /// Represents a regression data analysis solution
[5620]30  /// </summary>
31  [StorableClass]
[12485]32  public class RegressionSolution : RegressionSolutionBase {
[6606]33    protected readonly Dictionary<int, double> evaluationCache;
34
[5620]35    [StorableConstructor]
[6606]36    protected RegressionSolution(bool deserializing)
37      : base(deserializing) {
38      evaluationCache = new Dictionary<int, double>();
39    }
[5620]40    protected RegressionSolution(RegressionSolution original, Cloner cloner)
41      : base(original, cloner) {
[6606]42      evaluationCache = new Dictionary<int, double>(original.evaluationCache);
[5620]43    }
[12485]44    public RegressionSolution(IRegressionModel model, IRegressionProblemData problemData)
[5624]45      : base(model, problemData) {
[7735]46      evaluationCache = new Dictionary<int, double>(problemData.Dataset.Rows);
[8723]47      CalculateRegressionResults();
[5717]48    }
49
[12485]50    public override IDeepCloneable Clone(Cloner cloner) {
51      return new RegressionSolution(this, cloner);
52    }
[6602]53
[6588]54    public override IEnumerable<double> EstimatedValues {
55      get { return GetEstimatedValues(Enumerable.Range(0, ProblemData.Dataset.Rows)); }
[6184]56    }
[6588]57    public override IEnumerable<double> EstimatedTrainingValues {
[8139]58      get { return GetEstimatedValues(ProblemData.TrainingIndices); }
[5717]59    }
[6588]60    public override IEnumerable<double> EstimatedTestValues {
[8139]61      get { return GetEstimatedValues(ProblemData.TestIndices); }
[5620]62    }
63
[6588]64    public override IEnumerable<double> GetEstimatedValues(IEnumerable<int> rows) {
[12509]65      var rowsToEvaluate = rows.Where(row => !evaluationCache.ContainsKey(row));
[6606]66      var rowsEnumerator = rowsToEvaluate.GetEnumerator();
67      var valuesEnumerator = Model.GetEstimatedValues(ProblemData.Dataset, rowsToEvaluate).GetEnumerator();
68
69      while (rowsEnumerator.MoveNext() & valuesEnumerator.MoveNext()) {
70        evaluationCache.Add(rowsEnumerator.Current, valuesEnumerator.Current);
71      }
72
73      return rows.Select(row => evaluationCache[row]);
[5620]74    }
[6606]75
76    protected override void OnProblemDataChanged() {
77      evaluationCache.Clear();
78      base.OnProblemDataChanged();
79    }
80
81    protected override void OnModelChanged() {
82      evaluationCache.Clear();
83      base.OnModelChanged();
84    }
[5620]85  }
86}
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