[10854] | 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.Encodings.SymbolicExpressionTreeEncoding;
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| 25 | using HeuristicLab.Problems.DataAnalysis.Transformations;
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| 26 |
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| 27 | namespace HeuristicLab.Problems.DataAnalysis.Symbolic {
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| 28 | public class SymbolicExpressionTreeBacktransformator : IModelBacktransformator {
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| 29 | private readonly ITransformationMapper<ISymbolicExpressionTree> transformationMapper;
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| 30 |
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| 31 | public SymbolicExpressionTreeBacktransformator(ITransformationMapper<ISymbolicExpressionTree> transformationMapper) {
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| 32 | this.transformationMapper = transformationMapper;
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| 33 | }
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| 34 |
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| 35 | public IDataAnalysisModel Backtransform(IDataAnalysisModel model, IEnumerable<ITransformation> transformations) {
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| 36 | var symbolicModel = (ISymbolicDataAnalysisModel)model;
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| 37 |
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| 38 | foreach (var transformation in transformations) {
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| 39 | ApplyBacktransformation(transformation, symbolicModel.SymbolicExpressionTree);
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| 40 | }
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| 41 |
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| 42 | return symbolicModel;
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| 43 | }
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| 44 |
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| 45 | private void ApplyBacktransformation(ITransformation transformation, ISymbolicExpressionTree symbolicExpressionTree) {
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| 46 | bool modelHasVariable = symbolicExpressionTree.IterateNodesBreadth().Any(n => IsVariableNode(n, transformation.Column));
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| 47 | // TODO
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| 48 | }
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| 49 |
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| 50 | private bool IsVariableNode(ISymbolicExpressionTreeNode node, string variableName) {
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| 51 | var variableNode = node as VariableTreeNode;
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| 52 | if (variableNode == null) return false;
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| 53 | return variableNode.VariableName == variableName;
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| 54 | }
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| 55 | }
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| 56 | }
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