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source: branches/HeuristicLab.TreeSimplifier/HeuristicLab.Problems.DataAnalysis.Symbolic/3.4/SymbolicDataAnalysisSolutionImpactValuesCalculator.cs @ 8935

Last change on this file since 8935 was 8935, checked in by bburlacu, 12 years ago

#1763: Bugfixes and refactoring as suggested in the comments above.

File size: 3.2 KB
Line 
1#region License Information
2/* HeuristicLab
3 * Copyright (C) 2002-2012 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 HeuristicLab.Common;
25using HeuristicLab.Encodings.SymbolicExpressionTreeEncoding;
26
27namespace HeuristicLab.Problems.DataAnalysis.Symbolic {
28  public abstract class SymbolicDataAnalysisSolutionImpactValuesCalculator {
29    public abstract IEnumerable<Tuple<ISymbolicExpressionTreeNode, double>> CalculateReplacementValues(ISymbolicExpressionTree tree,
30                                                                                                       ISymbolicDataAnalysisExpressionTreeInterpreter interpreter,
31                                                                                                       IDataAnalysisProblemData problemData);
32    public abstract IEnumerable<Tuple<ISymbolicExpressionTreeNode, double>> CalculateImpactValues(ISymbolicExpressionTree tree,
33                                                                                                  ISymbolicDataAnalysisExpressionTreeInterpreter interpreter,
34                                                                                                  IDataAnalysisProblemData problemData,
35                                                                                                  double lowerEstimationLimit, double upperEstimationLimit);
36
37    protected static void SwitchNode(ISymbolicExpressionTreeNode root, ISymbolicExpressionTreeNode oldBranch, ISymbolicExpressionTreeNode newBranch) {
38      for (int i = 0; i < root.SubtreeCount; i++) {
39        if (root.GetSubtree(i) == oldBranch) {
40          root.RemoveSubtree(i);
41          root.InsertSubtree(i, newBranch);
42          return;
43        }
44      }
45    }
46
47    protected static double CalculateReplacementValue(ISymbolicExpressionTreeNode node, ISymbolicExpressionTree sourceTree,
48                                                      ISymbolicDataAnalysisExpressionTreeInterpreter interpreter, IDataAnalysisProblemData problemData) {
49      var rootSymbol = new ProgramRootSymbol().CreateTreeNode();
50      var startSymbol = new StartSymbol().CreateTreeNode();
51      rootSymbol.AddSubtree(startSymbol);
52      startSymbol.AddSubtree((ISymbolicExpressionTreeNode)node.Clone());
53      var rows = problemData.TrainingIndices;
54      var tempTree = new SymbolicExpressionTree(rootSymbol);
55      return interpreter.GetSymbolicExpressionTreeValues(tempTree, problemData.Dataset, rows).Median();
56    }
57  }
58}
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