[15830] | 1 | #region License Information
|
---|
| 2 | /* HeuristicLab
|
---|
[17181] | 3 | * Copyright (C) Heuristic and Evolutionary Algorithms Laboratory (HEAL)
|
---|
[15830] | 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 |
|
---|
| 22 | using System.Collections.Generic;
|
---|
| 23 | using System.Linq;
|
---|
| 24 | using HeuristicLab.Common;
|
---|
| 25 | using HeuristicLab.Problems.DataAnalysis;
|
---|
[16847] | 26 | using HEAL.Attic;
|
---|
[15830] | 27 |
|
---|
| 28 | namespace HeuristicLab.Algorithms.DataAnalysis {
|
---|
[16847] | 29 | [StorableType("4E5B8317-648D-4A5A-A3F7-A1A5BEB9AA69")]
|
---|
[16855] | 30 | public sealed class ComponentReducedLinearModel : RegressionModel {
|
---|
[15830] | 31 | [Storable]
|
---|
[15967] | 32 | private IRegressionModel Model;
|
---|
[15830] | 33 | [Storable]
|
---|
| 34 | private PrincipleComponentTransformation Pca;
|
---|
| 35 |
|
---|
| 36 | [StorableConstructor]
|
---|
[16847] | 37 | private ComponentReducedLinearModel(StorableConstructorFlag _) : base(_) { }
|
---|
[15830] | 38 | private ComponentReducedLinearModel(ComponentReducedLinearModel original, Cloner cloner) : base(original, cloner) {
|
---|
| 39 | Model = cloner.Clone(original.Model);
|
---|
| 40 | Pca = cloner.Clone(original.Pca);
|
---|
| 41 | }
|
---|
[16847] | 42 |
|
---|
[15967] | 43 | public ComponentReducedLinearModel(string targetVariable, IRegressionModel model, PrincipleComponentTransformation pca) : base(targetVariable) {
|
---|
[15830] | 44 | Model = model;
|
---|
| 45 | Pca = pca;
|
---|
| 46 | }
|
---|
[16847] | 47 |
|
---|
[15830] | 48 | public override IDeepCloneable Clone(Cloner cloner) {
|
---|
| 49 | return new ComponentReducedLinearModel(this, cloner);
|
---|
| 50 | }
|
---|
| 51 |
|
---|
| 52 | public override IEnumerable<string> VariablesUsedForPrediction {
|
---|
| 53 | get { return Model.VariablesUsedForPrediction; }
|
---|
| 54 | }
|
---|
[16847] | 55 |
|
---|
[15830] | 56 | public override IEnumerable<double> GetEstimatedValues(IDataset dataset, IEnumerable<int> rows) {
|
---|
| 57 | var data = ReduceDataset(dataset, rows.ToArray());
|
---|
| 58 | return Model.GetEstimatedValues(Pca.TransformDataset(data), Enumerable.Range(0, data.Rows));
|
---|
| 59 | }
|
---|
[16847] | 60 |
|
---|
[15830] | 61 | public override IRegressionSolution CreateRegressionSolution(IRegressionProblemData problemData) {
|
---|
[15967] | 62 | return new RegressionSolution(this, problemData);
|
---|
[15830] | 63 | }
|
---|
| 64 |
|
---|
| 65 | private IDataset ReduceDataset(IDataset data, IReadOnlyList<int> rows) {
|
---|
| 66 | return new Dataset(data.DoubleVariables, data.DoubleVariables.Select(v => data.GetDoubleValues(v, rows).ToList()));
|
---|
| 67 | }
|
---|
| 68 | }
|
---|
| 69 | } |
---|