source: branches/M5Regression/HeuristicLab.Algorithms.DataAnalysis/3.4/M5Regression/LeafModels/ComponentReducedLinearModel.cs @ 15967

Last change on this file since 15967 was 15967, checked in by bwerth, 14 months ago

#2847 added logistic dampening and some minor changes

File size: 2.7 KB
Line 
1#region License Information
2/* HeuristicLab
3 * Copyright (C) 2002-2017 Heuristic and Evolutionary Algorithms Laboratory (HEAL)
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;
26using HeuristicLab.Problems.DataAnalysis;
27
28namespace HeuristicLab.Algorithms.DataAnalysis {
29  [StorableClass]
30  public class ComponentReducedLinearModel : RegressionModel {
31    [Storable]
32    private IRegressionModel Model;
33    [Storable]
34    private PrincipleComponentTransformation Pca;
35
36    [StorableConstructor]
37    private ComponentReducedLinearModel(bool deserializing) : base(deserializing) { }
38    private ComponentReducedLinearModel(ComponentReducedLinearModel original, Cloner cloner) : base(original, cloner) {
39      Model = cloner.Clone(original.Model);
40      Pca = cloner.Clone(original.Pca);
41    }
42    public ComponentReducedLinearModel(string targetVariable, IRegressionModel model, PrincipleComponentTransformation pca) : base(targetVariable) {
43      Model = model;
44      Pca = pca;
45    }
46    public override IDeepCloneable Clone(Cloner cloner) {
47      return new ComponentReducedLinearModel(this, cloner);
48    }
49
50    public override IEnumerable<string> VariablesUsedForPrediction {
51      get { return Model.VariablesUsedForPrediction; }
52    }
53    public override IEnumerable<double> GetEstimatedValues(IDataset dataset, IEnumerable<int> rows) {
54      var data = ReduceDataset(dataset, rows.ToArray());
55      return Model.GetEstimatedValues(Pca.TransformDataset(data), Enumerable.Range(0, data.Rows));
56    }
57    public override IRegressionSolution CreateRegressionSolution(IRegressionProblemData problemData) {
58      return new RegressionSolution(this, problemData);
59    }
60
61    private IDataset ReduceDataset(IDataset data, IReadOnlyList<int> rows) {
62      return new Dataset(data.DoubleVariables, data.DoubleVariables.Select(v => data.GetDoubleValues(v, rows).ToList()));
63    }
64  }
65}
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