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source: trunk/sources/HeuristicLab.GP.StructureIdentification/3.3/Evaluators/VariableQualityImpactCalculator.cs @ 2241

Last change on this file since 2241 was 2241, checked in by gkronber, 15 years ago

Remove obsolete parameter TreeSize in VariableQualityImpactCalculator. #713

File size: 2.6 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 HeuristicLab.Core;
24using HeuristicLab.Data;
25using HeuristicLab.DataAnalysis;
26using HeuristicLab.GP.Interfaces;
27
28namespace HeuristicLab.GP.StructureIdentification {
29  public class VariableQualityImpactCalculator : HeuristicLab.Modeling.VariableQualityImpactCalculator {
30
31    public VariableQualityImpactCalculator()
32      : base() {
33      AddVariableInfo(new VariableInfo("TreeEvaluator", "The evaluator that should be used to evaluate the expression tree", typeof(ITreeEvaluator), VariableKind.In));
34      AddVariableInfo(new VariableInfo("FunctionTree", "The function tree that should be evaluated", typeof(IGeneticProgrammingModel), VariableKind.In));
35      AddVariableInfo(new VariableInfo("PunishmentFactor", "Punishment factor for invalid estimations", typeof(DoubleData), VariableKind.In));
36    }
37
38    protected override double CalculateQuality(IScope scope, Dataset dataset, int targetVariable, int start, int end) {
39      ITreeEvaluator evaluator = GetVariableValue<ITreeEvaluator>("TreeEvaluator", scope, true);
40      IGeneticProgrammingModel gpModel = GetVariableValue<IGeneticProgrammingModel>("FunctionTree", scope, true);
41      double punishmentFactor = GetVariableValue<DoubleData>("PunishmentFactor", scope, true).Data;
42      evaluator.PrepareForEvaluation(dataset, targetVariable, start, end, punishmentFactor, gpModel.FunctionTree);
43
44      double[,] result = new double[end - start, 2];
45      for (int i = start; i < end; i++) {
46        result[i - start, 0] = dataset.GetValue(i, targetVariable);
47        result[i - start, 1] = evaluator.Evaluate(i);
48      }
49
50      try {
51        return HeuristicLab.Modeling.SimpleMSEEvaluator.Calculate(result);
52      }
53      catch (ArgumentException) {
54        return double.PositiveInfinity;
55      }
56    }
57  }
58}
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