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source: trunk/sources/HeuristicLab.Problems.DataAnalysis/3.3/Evaluators/OnlinePearsonsRSquaredEvaluator.cs @ 4122

Last change on this file since 4122 was 4122, checked in by gkronber, 14 years ago

Fixed #1116

File size: 2.2 KB
Line 
1#region License Information
2/* HeuristicLab
3 * Copyright (C) 2002-2010 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;
23using HeuristicLab.Common;
24
25namespace HeuristicLab.Problems.DataAnalysis.Evaluators {
26  public class OnlinePearsonsRSquaredEvaluator : IOnlineEvaluator {
27    private OnlineCovarianceEvaluator covEvaluator = new OnlineCovarianceEvaluator();
28    private OnlineMeanAndVarianceCalculator sxEvaluator = new OnlineMeanAndVarianceCalculator();
29    private OnlineMeanAndVarianceCalculator syEvaluator = new OnlineMeanAndVarianceCalculator();
30
31    public double RSquared {
32      get {
33        double r = covEvaluator.Covariance / (Math.Sqrt(sxEvaluator.PopulationVariance) * Math.Sqrt(syEvaluator.PopulationVariance));
34        return r * r;
35      }
36    }
37
38    public OnlinePearsonsRSquaredEvaluator() { }
39
40    #region IOnlineEvaluator Members
41    public double Value {
42      get { return RSquared; }
43    }
44    public void Reset() {
45      covEvaluator.Reset();
46      sxEvaluator.Reset();
47      syEvaluator.Reset();
48    }
49
50    public void Add(double x, double y) {
51      if (IsInvalidValue(x) || IsInvalidValue(y)) {
52        throw new ArgumentException("R² is not defined for variables with NaN or infinity values.");
53      }
54      covEvaluator.Add(x, y);
55      sxEvaluator.Add(x);
56      syEvaluator.Add(y);
57    }
58
59    #endregion
60
61    private bool IsInvalidValue(double x) {
62      return double.IsNaN(x) || double.IsInfinity(x);
63    }
64  }
65}
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