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source: trunk/sources/HeuristicLab.Problems.DataAnalysis/3.3/Evaluators/OnlineMeanSquaredErrorEvaluator.cs @ 4769

Last change on this file since 4769 was 4068, checked in by swagner, 14 years ago

Sorted usings and removed unused usings in entire solution (#1094)

File size: 1.9 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;
23
24namespace HeuristicLab.Problems.DataAnalysis.Evaluators {
25  public class OnlineMeanSquaredErrorEvaluator : IOnlineEvaluator {
26
27    private double sse;
28    private int n;
29    public double MeanSquaredError {
30      get {
31        if (n < 1)
32          throw new InvalidOperationException("No elements");
33        else
34          return sse / n;
35      }
36    }
37
38    public OnlineMeanSquaredErrorEvaluator() {
39      Reset();
40    }
41
42    #region IOnlineEvaluator Members
43    public double Value {
44      get { return MeanSquaredError; }
45    }
46    public void Reset() {
47      n = 0;
48      sse = 0.0;
49    }
50
51    public void Add(double original, double estimated) {
52      if (double.IsNaN(estimated) || double.IsInfinity(estimated) ||
53          double.IsNaN(original) || double.IsInfinity(original)) {
54        throw new ArgumentException("Mean squared error is not defined for NaN or infinity elements");
55      } else {
56        double error = estimated - original;
57        sse += error * error;
58        n++;
59      }
60    }
61    #endregion
62  }
63}
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