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source: trunk/sources/HeuristicLab.GP.StructureIdentification/3.3/Evaluators/MeanSquaredErrorEvaluator.cs @ 2042

Last change on this file since 2042 was 1894, checked in by gkronber, 15 years ago

Fixed #643 (Simple evaluation operators in HL.Modeling and GP specific evaluation operators in HL.GP.StructureIdentification should be unified).

File size: 1.8 KB
Line 
1#region License Information
2/* HeuristicLab
3 * Copyright (C) 2002-2008 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 System.Text;
26using HeuristicLab.Core;
27using HeuristicLab.Data;
28using HeuristicLab.Operators;
29using HeuristicLab.DataAnalysis;
30using HeuristicLab.Modeling;
31
32namespace HeuristicLab.GP.StructureIdentification {
33  public class MeanSquaredErrorEvaluator : SimpleGPEvaluatorBase {
34    public override string OutputVariableName {
35      get {
36        return "MSE";
37      }
38    }
39    public override string Description {
40      get {
41        return @"Evaluates 'FunctionTree' for all samples of 'DataSet' and calculates the mean-squared-error
42for the estimated values vs. the real values of 'TargetVariable'.";
43      }
44    }
45
46    public override double Evaluate(double[,] values) {
47      double quality = SimpleMSEEvaluator.Calculate(values);
48
49      if (double.IsNaN(quality) || double.IsInfinity(quality)) {
50        quality = double.MaxValue;
51      }
52
53      return quality;
54    }
55  }
56}
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