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source: branches/plugins/HeuristicLab.StructureIdentification/3.2/Evaluation/SimpleEvaluator.cs @ 2470

Last change on this file since 2470 was 482, checked in by gkronber, 16 years ago

made a few more improvements in the GP evaluators (ticket #242 All GP evaluators should support the 'UseEstimatedTargetValues' switch for autoregressive modelling)

File size: 2.4 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.Functions;
30using HeuristicLab.DataAnalysis;
31
32namespace HeuristicLab.StructureIdentification {
33  public class SimpleEvaluator : GPEvaluatorBase {
34    private ItemList values;
35    public SimpleEvaluator()
36      : base() {
37      AddVariableInfo(new VariableInfo("Values", "The values of the target variable as predicted by the model and the original value of the target variable", typeof(ItemList), VariableKind.New | VariableKind.Out));
38    }
39
40    public override IOperation Apply(IScope scope) {
41      values = GetVariableValue<ItemList>("Values", scope, false, false);
42      if(values == null) {
43        values = new ItemList();
44        IVariableInfo info = GetVariableInfo("Values");
45        if(info.Local)
46          AddVariable(new HeuristicLab.Core.Variable(info.ActualName, values));
47        else
48          scope.AddVariable(new HeuristicLab.Core.Variable(scope.TranslateName(info.FormalName), values));
49      }
50      values.Clear();
51      return base.Apply(scope);
52    }
53
54    public override void Evaluate(int start, int end) {
55      for(int sample = start; sample < end; sample++) {
56        ItemList row = new ItemList();
57        double estimated = GetEstimatedValue(sample);
58        double original = GetOriginalValue(sample);
59        SetOriginalValue(sample, estimated);
60        row.Add(new DoubleData(estimated));
61        row.Add(new DoubleData(original));
62        values.Add(row);
63      }
64    }
65  }
66}
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