source: trunk/sources/HeuristicLab.Problems.DataAnalysis.Symbolic/3.4/SymbolicDataAnalysisSolutionImpactValuesCalculator.cs @ 10037

Last change on this file since 10037 was 9456, checked in by swagner, 9 years ago

Updated copyright year and added some missing license headers (#1889)

File size: 2.6 KB
Line 
1#region License Information
2/* HeuristicLab
3 * Copyright (C) 2002-2013 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.Collections.Generic;
23using HeuristicLab.Common;
24using HeuristicLab.Encodings.SymbolicExpressionTreeEncoding;
25
26namespace HeuristicLab.Problems.DataAnalysis.Symbolic {
27  public abstract class SymbolicDataAnalysisSolutionImpactValuesCalculator : ISymbolicDataAnalysisSolutionImpactValuesCalculator {
28    public abstract double CalculateReplacementValue(ISymbolicDataAnalysisModel model, ISymbolicExpressionTreeNode node, IDataAnalysisProblemData problemData, IEnumerable<int> rows);
29    public abstract double CalculateImpactValue(ISymbolicDataAnalysisModel model, ISymbolicExpressionTreeNode node, IDataAnalysisProblemData problemData, IEnumerable<int> rows, double originalQuality = double.NaN);
30
31    protected static double CalculateReplacementValue(ISymbolicExpressionTreeNode node, ISymbolicExpressionTree sourceTree, ISymbolicDataAnalysisExpressionTreeInterpreter interpreter,
32      Dataset dataset, IEnumerable<int> rows) {
33      //optimization: constant nodes return always the same value
34      ConstantTreeNode constantNode = node as ConstantTreeNode;
35      if (constantNode != null) return constantNode.Value;
36
37      var rootSymbol = new ProgramRootSymbol().CreateTreeNode();
38      var startSymbol = new StartSymbol().CreateTreeNode();
39      rootSymbol.AddSubtree(startSymbol);
40      startSymbol.AddSubtree((ISymbolicExpressionTreeNode)node.Clone());
41
42      var tempTree = new SymbolicExpressionTree(rootSymbol);
43      // clone ADFs of source tree
44      for (int i = 1; i < sourceTree.Root.SubtreeCount; i++) {
45        tempTree.Root.AddSubtree((ISymbolicExpressionTreeNode)sourceTree.Root.GetSubtree(i).Clone());
46      }
47      return interpreter.GetSymbolicExpressionTreeValues(tempTree, dataset, rows).Median();
48    }
49  }
50}
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