1 | #region License Information
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2 | /* HeuristicLab
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3 | * Copyright (C) 2002-2016 Heuristic and Evolutionary Algorithms Laboratory (HEAL)
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4 | *
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5 | * This file is part of HeuristicLab.
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6 | *
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7 | * HeuristicLab is free software: you can redistribute it and/or modify
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8 | * it under the terms of the GNU General Public License as published by
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9 | * the Free Software Foundation, either version 3 of the License, or
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10 | * (at your option) any later version.
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11 | *
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12 | * HeuristicLab is distributed in the hope that it will be useful,
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13 | * but WITHOUT ANY WARRANTY; without even the implied warranty of
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14 | * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
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15 | * GNU General Public License for more details.
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16 | *
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17 | * You should have received a copy of the GNU General Public License
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18 | * along with HeuristicLab. If not, see <http://www.gnu.org/licenses/>.
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19 | */
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20 | #endregion
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21 |
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22 | using System.Collections.Generic;
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23 | using System.Linq;
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24 | using HeuristicLab.Common;
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25 | using HeuristicLab.Core;
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26 | using HeuristicLab.Encodings.SymbolicExpressionTreeEncoding;
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27 | using HeuristicLab.Persistence;
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28 |
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29 | namespace HeuristicLab.Problems.DataAnalysis.Symbolic {
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30 | [StorableType("9001cb0d-0908-4128-95fa-a64515da7830")]
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31 | [Item("SymbolicDataAnalysisSolutionImpactValuesCalculator", "Calculates the impact values and replacements values for symbolic expression tree nodes.")]
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32 | public abstract class SymbolicDataAnalysisSolutionImpactValuesCalculator : Item, ISymbolicDataAnalysisSolutionImpactValuesCalculator {
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33 | protected SymbolicDataAnalysisSolutionImpactValuesCalculator() { }
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34 |
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35 | protected SymbolicDataAnalysisSolutionImpactValuesCalculator(SymbolicDataAnalysisSolutionImpactValuesCalculator original, Cloner cloner)
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36 | : base(original, cloner) { }
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37 | [StorableConstructor]
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38 | protected SymbolicDataAnalysisSolutionImpactValuesCalculator(bool deserializing) : base(deserializing) { }
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39 | public abstract void CalculateImpactAndReplacementValues(ISymbolicDataAnalysisModel model, ISymbolicExpressionTreeNode node, IDataAnalysisProblemData problemData, IEnumerable<int> rows, out double impactValue, out double replacementValue, out double newQualityForImpactsCalculation, double qualityForImpactsCalculation = double.NaN);
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40 |
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41 | protected IEnumerable<double> CalculateReplacementValues(ISymbolicExpressionTreeNode node, ISymbolicExpressionTree sourceTree, ISymbolicDataAnalysisExpressionTreeInterpreter interpreter,
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42 | IDataset dataset, IEnumerable<int> rows) {
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43 | //optimization: constant nodes return always the same value
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44 | ConstantTreeNode constantNode = node as ConstantTreeNode;
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45 | BinaryFactorVariableTreeNode binaryFactorNode = node as BinaryFactorVariableTreeNode;
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46 | FactorVariableTreeNode factorNode = node as FactorVariableTreeNode;
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47 | if (constantNode != null) {
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48 | yield return constantNode.Value;
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49 | } else if (binaryFactorNode != null) {
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50 | // valid replacements are either all off or all on
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51 | yield return 0;
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52 | yield return 1;
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53 | } else if (factorNode != null) {
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54 | foreach (var w in factorNode.Weights) yield return w;
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55 | yield return 0.0;
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56 | } else {
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57 | var rootSymbol = new ProgramRootSymbol().CreateTreeNode();
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58 | var startSymbol = new StartSymbol().CreateTreeNode();
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59 | rootSymbol.AddSubtree(startSymbol);
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60 | startSymbol.AddSubtree((ISymbolicExpressionTreeNode)node.Clone());
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61 |
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62 | var tempTree = new SymbolicExpressionTree(rootSymbol);
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63 | // clone ADFs of source tree
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64 | for (int i = 1; i < sourceTree.Root.SubtreeCount; i++) {
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65 | tempTree.Root.AddSubtree((ISymbolicExpressionTreeNode)sourceTree.Root.GetSubtree(i).Clone());
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66 | }
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67 | yield return interpreter.GetSymbolicExpressionTreeValues(tempTree, dataset, rows).Median();
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68 | yield return interpreter.GetSymbolicExpressionTreeValues(tempTree, dataset, rows).Average(); // TODO perf
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69 | }
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70 | }
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71 | }
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72 | }
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