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source: branches/3.2/sources/HeuristicLab.GP.StructureIdentification.ConditionalEvaluation/3.3/ConditionalMeanSquaredErrorEvaluator.cs @ 8853

Last change on this file since 8853 was 2136, checked in by gkronber, 15 years ago

Improved handling of exceptional cases in data-based modeling evaluators. #688 (SimpleEvaluators should handle exceptional cases more gracefully)

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.DataAnalysis;
29using HeuristicLab.Modeling;
30
31namespace HeuristicLab.GP.StructureIdentification.ConditionalEvaluation {
32  public class ConditionalMeanSquaredErrorEvaluator : ConditionalEvaluatorBase {
33    public override string OutputVariableName {
34      get {
35        return "MSE";
36      }
37    }
38    public override string Description {
39      get {
40        return @"Evaluates 'FunctionTree' for all samples of 'DataSet' and calculates the mean-squared-error
41for the estimated values vs. the real values of 'TargetVariable'.";
42      }
43    }
44
45    public override double Evaluate(double[,] values) {
46      try {
47        return SimpleMSEEvaluator.Calculate(values);
48      }
49      catch (ArgumentException) {
50        return double.PositiveInfinity;
51      }
52    }
53  }
54}
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