1 | #region License Information
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2 | /* HeuristicLab
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3 | * Copyright (C) 2002-2013 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.Encodings.SymbolicExpressionTreeEncoding;
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26 | using HeuristicLab.Problems.DataAnalysis.Transformations;
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27 |
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28 | namespace HeuristicLab.Problems.DataAnalysis.Symbolic {
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29 | public class SymbolicExpressionTreeBacktransformator : IModelBacktransformator {
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30 | private readonly ITransformationMapper<ISymbolicExpressionTreeNode> transformationMapper;
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31 |
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32 | public SymbolicExpressionTreeBacktransformator(ITransformationMapper<ISymbolicExpressionTreeNode> transformationMapper) {
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33 | this.transformationMapper = transformationMapper;
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34 | }
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35 |
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36 | public void Backtransform(IDataAnalysisModel model, IEnumerable<ITransformation> transformations) {
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37 | var symbolicModel = (ISymbolicDataAnalysisModel)model;
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38 |
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39 | foreach (var transformation in transformations) {
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40 | ApplyBacktransformation(transformation, symbolicModel.SymbolicExpressionTree);
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41 | }
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42 | }
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43 |
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44 | private void ApplyBacktransformation(ITransformation transformation, ISymbolicExpressionTree symbolicExpressionTree) {
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45 | var variableNodes = symbolicExpressionTree.IterateNodesBreadth()
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46 | .OfType<VariableTreeNode>()
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47 | .Where(n => n.VariableName == transformation.Column);
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48 |
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49 | foreach (var variableNode in variableNodes) {
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50 | // generate new subtrees because same subtree cannot be added more than once
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51 | var transformationTree = transformationMapper.GenerateModel(transformation);
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52 | SwapTransformationWithVariable(transformationTree, variableNode);
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53 | }
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54 | }
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55 |
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56 | private void SwapTransformationWithVariable(ISymbolicExpressionTreeNode transformationTree, VariableTreeNode variableNode) {
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57 | var parent = variableNode.Parent;
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58 | int index = parent.IndexOfSubtree(variableNode);
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59 | parent.RemoveSubtree(index);
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60 |
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61 | if (!variableNode.Weight.IsAlmost(1.0)) {
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62 | transformationTree = CreateNodeFromWeight(transformationTree, variableNode);
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63 | }
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64 |
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65 | parent.InsertSubtree(index, transformationTree);
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66 | }
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67 |
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68 | private ISymbolicExpressionTreeNode CreateNodeFromWeight(ISymbolicExpressionTreeNode transformationTree, VariableTreeNode variableNode) {
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69 | var multiplicationNode = new SymbolicExpressionTreeNode(new Multiplication());
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70 | multiplicationNode.AddSubtree(new ConstantTreeNode(new Constant()) { Value = variableNode.Weight });
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71 | multiplicationNode.AddSubtree(transformationTree);
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72 | transformationTree = multiplicationNode;
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73 | return transformationTree;
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74 | }
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75 | }
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76 | }
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