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source: branches/DataAnalysis Refactoring/HeuristicLab.Algorithms.DataAnalysis/3.4/Linear/LinearRegressionUtil.cs @ 5617

Last change on this file since 5617 was 5617, checked in by gkronber, 12 years ago

#1418 added implementation of linear regression as FixedDataAnalysisAlgorithm

File size: 2.4 KB
Line 
1#region License Information
2/* HeuristicLab
3 * Copyright (C) 2002-2011 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.Problems.DataAnalysis;
25
26namespace HeuristicLab.Algorithms.DataAnalysis {
27  public static class LinearRegressionUtil {
28    public static double[,] PrepareInputMatrix(Dataset dataset, string targetVariable, IEnumerable<string> allowedInputVariables, int start, int end) {
29      List<int> allowedRows = CalculateAllowedRows(dataset, targetVariable, allowedInputVariables, start, end);
30
31      double[,] matrix = new double[allowedRows.Count, allowedInputVariables.Count() + 1];
32      for (int row = 0; row < allowedRows.Count; row++) {
33        int col = 0;
34        foreach (string column in allowedInputVariables) {
35          matrix[row, col] = dataset[column, row];
36          col++;
37        }
38        matrix[row, allowedInputVariables.Count()] = dataset[targetVariable, row];
39      }
40      return matrix;
41    }
42
43    private static List<int> CalculateAllowedRows(Dataset dataset, string targetVariable, IEnumerable<string> allowedInputVariables, int start, int end) {
44      List<int> allowedRows = new List<int>();
45      bool add = false;
46
47      for (int row = start; row < end; row++) {
48        add = true;
49        foreach (string column in allowedInputVariables) {
50          double value = dataset[column, row];
51          if (double.IsInfinity(value) ||
52            double.IsNaN(value))
53            add = false;
54        }
55        if (double.IsNaN(dataset[targetVariable, row]))
56          add = false;
57        if (add)
58          allowedRows.Add(row);
59        add = true;
60      }
61      return allowedRows;
62    }
63  }
64}
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