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source: trunk/sources/HeuristicLab.Problems.DataAnalysis/3.4/OnlineCalculators/NormalizedGiniCalculator.cs @ 6913

Last change on this file since 6913 was 6913, checked in by gkronber, 13 years ago

#1656 implemented calculator to calculate the normalized Gini coefficient for classification solutions.

File size: 2.3 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;
23using System.Collections.Generic;
24using System.Linq;
25using HeuristicLab.Common;
26
27namespace HeuristicLab.Problems.DataAnalysis {
28  public class NormalizedGiniCalculator {
29
30    public static double Calculate(IEnumerable<double> original, IEnumerable<double> estimated, out OnlineCalculatorError errorState) {
31      if (original.Count() != estimated.Count()) {
32        throw new ArgumentException("Number of elements in first and second enumeration doesn't match.");
33      }
34      double oe = Gini(original, estimated, out errorState);
35      if (errorState != OnlineCalculatorError.None) return double.NaN;
36
37      return oe / (Gini(original, original, out errorState));
38    }
39
40    private static double Gini(IEnumerable<double> original, IEnumerable<double> estimated, out OnlineCalculatorError errorState) {
41      var pairs =
42        estimated.Zip(original, (e, o) => new { e, o })
43          .OrderByDescending(p => p.e);
44      if (pairs.Any()) errorState = OnlineCalculatorError.None;
45      else errorState = OnlineCalculatorError.InsufficientElementsAdded;
46      double giniSum = 0.0;
47      double sumOriginal = 0.0;
48      int n = 0;
49      foreach (var p in pairs) {
50        if (double.IsNaN(p.o) || double.IsNaN(p.e)) {
51          errorState = OnlineCalculatorError.InvalidValueAdded;
52          return double.NaN;
53        }
54        sumOriginal += p.o;
55        giniSum += sumOriginal;
56        n++;
57      }
58      giniSum /= sumOriginal;
59
60      return (giniSum - ((n + 1) / 2.0)) / n;
61    }
62  }
63}
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