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source: branches/2931_OR-Tools_LP_MIP/HeuristicLab.Algorithms.DataAnalysis/3.4/Nca/Initialization/NcaInitializer.cs @ 16720

Last change on this file since 16720 was 16720, checked in by ddorfmei, 5 years ago

#2931: Merged revision(s) 16235-16719 from trunk

File size: 3.1 KB
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1#region License Information
2/* HeuristicLab
3 * Copyright (C) 2002-2019 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 HeuristicLab.Common;
23using HeuristicLab.Core;
24using HeuristicLab.Data;
25using HeuristicLab.Encodings.RealVectorEncoding;
26using HeuristicLab.Operators;
27using HeuristicLab.Parameters;
28using HEAL.Attic;
29using HeuristicLab.Problems.DataAnalysis;
30
31namespace HeuristicLab.Algorithms.DataAnalysis {
32  [Item("NcaInitializer", "Base class for initializers for NCA.")]
33  [StorableType("165FEA5C-173F-46E3-AA38-16E125367094")]
34  public abstract class NcaInitializer : SingleSuccessorOperator, INcaInitializer {
35
36    public ILookupParameter<IClassificationProblemData> ProblemDataParameter {
37      get { return (ILookupParameter<IClassificationProblemData>)Parameters["ProblemData"]; }
38    }
39    public ILookupParameter<IntValue> DimensionsParameter {
40      get { return (ILookupParameter<IntValue>)Parameters["Dimensions"]; }
41    }
42    public ILookupParameter<RealVector> NcaMatrixParameter {
43      get { return (ILookupParameter<RealVector>)Parameters["NcaMatrix"]; }
44    }
45
46    [StorableConstructor]
47    protected NcaInitializer(StorableConstructorFlag _) : base(_) { }
48    protected NcaInitializer(NcaInitializer original, Cloner cloner) : base(original, cloner) { }
49    public NcaInitializer() {
50      Parameters.Add(new LookupParameter<IClassificationProblemData>("ProblemData", "The classification problem data."));
51      Parameters.Add(new LookupParameter<IntValue>("Dimensions", "The number of dimensions to which the features should be pruned."));
52      Parameters.Add(new LookupParameter<RealVector>("NcaMatrix", "The coefficients of the matrix that need to be optimized. Note that the matrix is flattened."));
53    }
54
55    public override IOperation Apply() {
56      var problemData = ProblemDataParameter.ActualValue;
57
58      var dimensions = DimensionsParameter.ActualValue.Value;
59      var matrix = Initialize(problemData, dimensions);
60      var attributes = matrix.GetLength(0);
61
62      var result = new double[attributes * dimensions];
63      for (int i = 0; i < attributes; i++)
64        for (int j = 0; j < dimensions; j++)
65          result[i * dimensions + j] = matrix[i, j];
66
67      NcaMatrixParameter.ActualValue = new RealVector(result);
68      return base.Apply();
69    }
70
71    public abstract double[,] Initialize(IClassificationProblemData data, int dimensions);
72  }
73}
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