| [10845] | 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 |
|
|---|
| 22 | using HeuristicLab.Encodings.SymbolicExpressionTreeEncoding;
|
|---|
| 23 | using HeuristicLab.Problems.DataAnalysis.Transformations;
|
|---|
| 24 |
|
|---|
| 25 | namespace HeuristicLab.Problems.DataAnalysis.Symbolic {
|
|---|
| 26 | public class TransformationToSymbolicTreeMapper : ITransformationMapper<ISymbolicExpressionTree> {
|
|---|
| 27 | #region ITransformationMapper<ISymbolicExpressionTree> Members
|
|---|
| 28 |
|
|---|
| 29 | public ISymbolicExpressionTree GenerateModel(ITransformation transformation) {
|
|---|
| 30 | var tree = CreateNewTree();
|
|---|
| 31 | var column = transformation.Column;
|
|---|
| 32 |
|
|---|
| 33 | if (transformation is LinearTransformation) {
|
|---|
| 34 | var kValue = ((LinearTransformation)transformation).Multiplier;
|
|---|
| 35 | var multiplicationNode = new Multiplication().CreateTreeNode();
|
|---|
| 36 | var kNode = new Constant();
|
|---|
| 37 | } else if (transformation is ExponentialTransformation) {
|
|---|
| 38 |
|
|---|
| 39 | } else if (transformation is LogarithmicTransformation) {
|
|---|
| 40 |
|
|---|
| 41 | } else if (transformation is PowerTransformation) {
|
|---|
| 42 |
|
|---|
| 43 | } else if (transformation is ReciprocalTransformation) {
|
|---|
| 44 |
|
|---|
| 45 | } else if (transformation is ShiftStandardDistributionTransformation) {
|
|---|
| 46 |
|
|---|
| 47 | }
|
|---|
| 48 |
|
|---|
| 49 | //var variableNode = (VariableTreeNode)new Variable("dummy", "dummy description").CreateTreeNode();
|
|---|
| 50 | //variableNode.VariableName = "dummy";
|
|---|
| 51 | //tree.Root.AddSubtree(variableNode);
|
|---|
| 52 |
|
|---|
| 53 | return tree;
|
|---|
| 54 | }
|
|---|
| 55 |
|
|---|
| 56 | public ISymbolicExpressionTree GenerateInverseModel(ITransformation transformation) {
|
|---|
| 57 | var tree = CreateNewTree();
|
|---|
| 58 | var column = transformation.Column;
|
|---|
| 59 |
|
|---|
| 60 | if (transformation is LinearTransformation) {
|
|---|
| 61 |
|
|---|
| 62 | } else if (transformation is ExponentialTransformation) {
|
|---|
| 63 |
|
|---|
| 64 | } else if (transformation is LogarithmicTransformation) {
|
|---|
| 65 |
|
|---|
| 66 | } else if (transformation is PowerTransformation) {
|
|---|
| 67 |
|
|---|
| 68 | } else if (transformation is ReciprocalTransformation) {
|
|---|
| 69 |
|
|---|
| 70 | } else if (transformation is ShiftStandardDistributionTransformation) {
|
|---|
| 71 |
|
|---|
| 72 | }
|
|---|
| 73 |
|
|---|
| 74 | return tree;
|
|---|
| 75 | }
|
|---|
| 76 |
|
|---|
| 77 | #endregion
|
|---|
| 78 |
|
|---|
| 79 | private ISymbolicExpressionTree CreateNewTree() {
|
|---|
| 80 | return new SymbolicExpressionTree(new ProgramRootSymbol().CreateTreeNode());
|
|---|
| 81 | }
|
|---|
| 82 | }
|
|---|
| 83 | }
|
|---|
