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source: branches/Persistence Test/HeuristicLab.GP.Boolean/3.3/BooleanTreeInterpreter.cs @ 2498

Last change on this file since 2498 was 2328, checked in by gkronber, 15 years ago

this is the remaining part of changeset r2327.
Applied changes in modeling plugins that are necessary for the new model analyzer (#722)

  • predictor has properties for the lower and upper limit of the predicted value
  • added views for predictors that show the limits (also added a new view for GeneticProgrammingModel that shows the size and height of the model)
  • Reintroduced TreeEvaluatorInjectors that read a PunishmentFactor and calculate the lower and upper limits for estimated values (limits are set in the tree evaluators)
  • Added operators to create Predictors. Changed modeling algorithms to use the predictors for the calculation of final model qualities and variable impacts (to be compatible with the new model analyzer the predictors use a very large PunishmentFactor)
  • replaced all private implementations of double.IsAlmost and use HL.Commons instead (see #733 r2324)
  • Implemented operator SolutionExtractor and moved BestSolutionStorer from HL.Logging to HL.Modeling (fixes #734)
File size: 2.8 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 System.Xml;
28using System.Diagnostics;
29using HeuristicLab.Common;
30using HeuristicLab.Data;
31using HeuristicLab.GP.Interfaces;
32using HeuristicLab.DataAnalysis;
33
34namespace HeuristicLab.GP.Boolean {
35  internal class BooleanTreeInterpreter {
36    private const double EPSILON = 0.00001;
37    private Dataset dataset;
38    private IFunctionTree tree;
39    private int targetVariable;
40    private int currentRow;
41
42    public void Reset(Dataset dataset, IFunctionTree tree, int targetVariable) {
43      this.dataset = dataset;
44      this.tree = tree;
45      this.targetVariable = targetVariable;
46    }
47
48    internal int GetNumberOfErrors(int start, int end) {
49      int errors = 0;
50      for (int i = start; i < end; i++) {
51        currentRow = i;
52        int result = Step(tree) ? 1 : 0;
53        if (Math.Abs(result - dataset.GetValue(i, targetVariable)) > EPSILON) errors++;
54      }
55      return errors;
56    }
57
58    internal bool Step(IFunctionTree t) {
59      int symbol = SymbolTable.MapFunction(t.Function);
60      switch (symbol) {
61        case SymbolTable.AND: return Step(t.SubTrees[0]) && Step(t.SubTrees[1]);
62        case SymbolTable.OR: return Step(t.SubTrees[0]) || Step(t.SubTrees[1]);
63        case SymbolTable.NOT: return !Step(t.SubTrees[0]);
64        case SymbolTable.XOR: return Step(t.SubTrees[0]) ^ Step(t.SubTrees[1]);
65        case SymbolTable.NAND: return !(Step(t.SubTrees[0]) && Step(t.SubTrees[1]));
66        case SymbolTable.NOR: return !(Step(t.SubTrees[0]) || Step(t.SubTrees[1]));
67        case SymbolTable.VARIABLE: {
68            var varNode = (VariableFunctionTree)t;
69            int index = dataset.GetVariableIndex(varNode.VariableName);
70            return !dataset.GetValue(currentRow, index).IsAlmost(0.0);
71          }
72        case SymbolTable.UNKNOWN:
73        default:
74          throw new UnknownFunctionException(t.Function.Name);
75      }
76    }
77  }
78}
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