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source: trunk/sources/HeuristicLab.GP.StructureIdentification.ConditionalEvaluation/3.3/ConditionalCoefficientOfDeterminationEvaluator.cs @ 2211

Last change on this file since 2211 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: 1.7 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.Modeling;
29
30namespace HeuristicLab.GP.StructureIdentification.ConditionalEvaluation {
31  public class ConditionalCoefficientOfDeterminationEvaluator : ConditionalEvaluatorBase {
32
33    public override string OutputVariableName {
34      get {
35        return "R2";
36      }
37    }
38
39    public override string Description {
40      get {
41        return @"Evaluates 'FunctionTree' for all samples of 'Dataset' and calculates
42the 'coefficient of determination' of estimated values vs. real values of 'TargetVariable'.";
43      }
44    }
45
46    public override double Evaluate(double[,] values) {
47      try { return SimpleR2Evaluator.Calculate(values); }
48      catch (ArgumentException) {
49        return double.NegativeInfinity;
50      }
51    }
52  }
53}
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