[10845] | 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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[10846] | 22 | using System;
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[10845] | 23 | using HeuristicLab.Encodings.SymbolicExpressionTreeEncoding;
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| 24 | using HeuristicLab.Problems.DataAnalysis.Transformations;
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| 25 |
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| 26 | namespace HeuristicLab.Problems.DataAnalysis.Symbolic {
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| 27 | public class TransformationToSymbolicTreeMapper : ITransformationMapper<ISymbolicExpressionTree> {
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[10846] | 28 | private ITransformation transformation;
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| 29 | private string column;
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| 30 | private ISymbolicExpressionTree tree;
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| 31 |
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[10845] | 32 | #region ITransformationMapper<ISymbolicExpressionTree> Members
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| 33 |
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| 34 | public ISymbolicExpressionTree GenerateModel(ITransformation transformation) {
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[10846] | 35 | InitComponents(transformation);
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[10845] | 36 |
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| 37 | if (transformation is LinearTransformation) {
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[10846] | 38 | return GenerateModelForLinearTransformation();
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[10845] | 39 | } else if (transformation is ExponentialTransformation) {
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[10848] | 40 | return GenerateModelForExponentialTransformation();
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[10845] | 41 | } else if (transformation is LogarithmicTransformation) {
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[10853] | 42 | return GenerateModelForLogarithmicTransformation();
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[10845] | 43 | } else if (transformation is PowerTransformation) {
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[10853] | 44 | return GenerateModelForPowerTransformation();
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[10845] | 45 | } else if (transformation is ReciprocalTransformation) {
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[10853] | 46 | return GenerateModelForReciprocalTransformation();
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[10845] | 47 | } else if (transformation is ShiftStandardDistributionTransformation) {
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[10853] | 48 | return GenerateModelForShiftStandardDistributionTransformation();
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[10845] | 49 | }
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[10846] | 50 | throw new NotImplementedException();
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[10845] | 51 | }
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| 52 |
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| 53 | public ISymbolicExpressionTree GenerateInverseModel(ITransformation transformation) {
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[10846] | 54 | InitComponents(transformation);
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[10845] | 55 |
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| 56 | if (transformation is LinearTransformation) {
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[10848] | 57 | return GenerateInverseModelForLinearTransformation();
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[10845] | 58 | } else if (transformation is ExponentialTransformation) {
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[10848] | 59 | return GenerateInverseModelForExponentialTransformation();
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[10845] | 60 | } else if (transformation is LogarithmicTransformation) {
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[10853] | 61 | return GenerateInverseModelForLogarithmicTransformation();
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[10845] | 62 | } else if (transformation is PowerTransformation) {
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[10853] | 63 | return GenerateInverseModelForPowerTransformation();
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[10845] | 64 | } else if (transformation is ReciprocalTransformation) {
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[10853] | 65 | return GenerateInverseModelForReciprocalTransformation();
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[10845] | 66 | } else if (transformation is ShiftStandardDistributionTransformation) {
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[10866] | 67 | GenerateInverseModelForShiftStandardDistributionTransformation();
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[10845] | 68 | }
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| 69 |
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[10846] | 70 | throw new NotImplementedException();
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[10845] | 71 | }
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| 72 |
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| 73 | #endregion
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| 74 |
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[10853] | 75 | // helper
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| 76 |
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[10846] | 77 | private ISymbolicExpressionTree GenerateModelForLinearTransformation() {
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| 78 | var linearTransformation = (LinearTransformation)transformation;
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| 79 | var kValue = linearTransformation.Multiplier;
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| 80 | var dValue = linearTransformation.Addend;
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| 81 |
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| 82 | // k * x
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| 83 | var multiplicationNode = new Multiplication().CreateTreeNode();
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[10866] | 84 | var kNode = CreateConstantTreeNode("k", kValue);
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| 85 | var xNode = CreateVariableTreeNode(column, "x");
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[10846] | 86 | multiplicationNode.AddSubtree(kNode);
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| 87 | multiplicationNode.AddSubtree(xNode);
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| 88 |
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| 89 | // ( k * x ) + d
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| 90 | var additionNode = new Addition().CreateTreeNode();
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[10866] | 91 | var dNode = CreateConstantTreeNode("d", dValue);
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[10846] | 92 | additionNode.AddSubtree(multiplicationNode);
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| 93 | additionNode.AddSubtree(dNode);
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| 94 |
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| 95 | tree.Root.AddSubtree(additionNode);
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| 96 | return tree;
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| 97 | }
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| 98 |
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[10848] | 99 | private ISymbolicExpressionTree GenerateInverseModelForLinearTransformation() {
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| 100 | var linearTransformation = (LinearTransformation)transformation;
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| 101 | var kValue = linearTransformation.Multiplier;
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| 102 | var dValue = linearTransformation.Addend;
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| 103 |
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| 104 | // x - d
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| 105 | var substractionNode = new Subtraction().CreateTreeNode();
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[10866] | 106 | var dNode = CreateConstantTreeNode("d", dValue);
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| 107 | var xNode = CreateVariableTreeNode(column, "x");
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[10848] | 108 | substractionNode.AddSubtree(xNode);
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| 109 | substractionNode.AddSubtree(dNode);
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| 110 |
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| 111 | // ( x - d ) / k
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| 112 | var divisionNode = new Division().CreateTreeNode();
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[10866] | 113 | var kNode = CreateConstantTreeNode("k", kValue);
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[10848] | 114 | divisionNode.AddSubtree(substractionNode);
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| 115 | divisionNode.AddSubtree(kNode);
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| 116 |
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| 117 | tree.Root.AddSubtree(divisionNode);
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| 118 | return tree;
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| 119 | }
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| 120 |
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| 121 |
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| 122 | private ISymbolicExpressionTree GenerateModelForExponentialTransformation() {
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| 123 | var exponentialTransformation = (ExponentialTransformation)transformation;
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| 124 | var bValue = exponentialTransformation.Base;
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| 125 |
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[10853] | 126 | return GenTreePow_b_x(bValue);
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| 127 | }
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| 128 |
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| 129 | private ISymbolicExpressionTree GenerateInverseModelForExponentialTransformation() {
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| 130 | var exponentialTransformation = (ExponentialTransformation)transformation;
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| 131 | var bValue = exponentialTransformation.Base;
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| 132 |
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| 133 | return GenTreeLog_x_b(bValue);
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| 134 | }
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| 135 |
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| 136 |
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| 137 | private ISymbolicExpressionTree GenerateModelForLogarithmicTransformation() {
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| 138 | var logarithmicTransformation = (LogarithmicTransformation)transformation;
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| 139 | var bValue = logarithmicTransformation.Base;
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| 140 |
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| 141 | return GenTreeLog_x_b(bValue);
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| 142 | }
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| 143 |
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| 144 | private ISymbolicExpressionTree GenerateInverseModelForLogarithmicTransformation() {
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| 145 | var logarithmicTransformation = (LogarithmicTransformation)transformation;
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| 146 | var bValue = logarithmicTransformation.Base;
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| 147 |
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| 148 | return GenTreePow_b_x(bValue);
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| 149 | }
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| 150 |
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| 151 |
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| 152 | private ISymbolicExpressionTree GenerateModelForPowerTransformation() {
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| 153 | var powerTransformation = (PowerTransformation)transformation;
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| 154 | var expValue = powerTransformation.Exponent;
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| 155 |
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| 156 | // x ^ exp
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[10848] | 157 | var powerNode = new Power().CreateTreeNode();
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[10866] | 158 | var xNode = CreateVariableTreeNode(column, "x");
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| 159 | var expNode = CreateConstantTreeNode("exp", expValue);
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[10848] | 160 | powerNode.AddSubtree(xNode);
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[10853] | 161 | powerNode.AddSubtree(expNode);
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[10848] | 162 |
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| 163 | tree.Root.AddSubtree(powerNode);
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| 164 | return tree;
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| 165 | }
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| 166 |
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[10853] | 167 | private ISymbolicExpressionTree GenerateInverseModelForPowerTransformation() {
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| 168 | var powerTransformation = (PowerTransformation)transformation;
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| 169 | var expValue = powerTransformation.Exponent;
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[10848] | 170 |
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[10853] | 171 | // rt(x, b)
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| 172 | var rootNode = new Root().CreateTreeNode();
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[10866] | 173 | var xNode = CreateVariableTreeNode(column, "x");
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| 174 | var bNode = CreateConstantTreeNode("b", expValue);
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[10853] | 175 | rootNode.AddSubtree(xNode);
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| 176 | rootNode.AddSubtree(bNode);
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| 177 |
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| 178 | tree.Root.AddSubtree(rootNode);
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| 179 | return tree;
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| 180 | }
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| 181 |
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| 182 |
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| 183 | private ISymbolicExpressionTree GenerateModelForReciprocalTransformation() {
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| 184 | return GenTreeDiv_1_x();
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| 185 | }
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| 186 |
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| 187 | private ISymbolicExpressionTree GenerateInverseModelForReciprocalTransformation() {
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| 188 | return GenTreeDiv_1_x();
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| 189 | }
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| 190 |
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| 191 | private ISymbolicExpressionTree GenerateModelForShiftStandardDistributionTransformation() {
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| 192 | var shiftStandardDistributionTransformation = (ShiftStandardDistributionTransformation)transformation;
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| 193 | var m_orgValue = shiftStandardDistributionTransformation.OriginalMean;
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| 194 | var s_orgValue = shiftStandardDistributionTransformation.OriginalStandardDeviation;
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| 195 | var m_tarValue = shiftStandardDistributionTransformation.Mean;
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| 196 | var s_tarValue = shiftStandardDistributionTransformation.StandardDeviation;
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| 197 |
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[10866] | 198 | return GenTreeShiftStdDist(column, m_orgValue, s_orgValue, m_tarValue, s_tarValue);
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| 199 | }
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[10853] | 200 |
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[10866] | 201 | private ISymbolicExpressionTree GenerateInverseModelForShiftStandardDistributionTransformation() {
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| 202 | var shiftStandardDistributionTransformation = (ShiftStandardDistributionTransformation)transformation;
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| 203 | var m_orgValue = shiftStandardDistributionTransformation.OriginalMean;
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| 204 | var s_orgValue = shiftStandardDistributionTransformation.OriginalStandardDeviation;
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| 205 | var m_tarValue = shiftStandardDistributionTransformation.Mean;
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| 206 | var s_tarValue = shiftStandardDistributionTransformation.StandardDeviation;
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[10853] | 207 |
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[10866] | 208 | return GenTreeShiftStdDist(column, m_tarValue, s_tarValue, m_orgValue, s_orgValue);
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[10853] | 209 | }
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| 210 |
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| 211 | // helper's helper:
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| 212 |
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| 213 | private ISymbolicExpressionTree GenTreeLog_x_b(double b) {
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| 214 | var tree = CreateNewTree();
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| 215 |
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[10848] | 216 | // log(x, b)
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| 217 | var logNode = new Logarithm().CreateTreeNode();
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[10866] | 218 | var bNode = CreateConstantTreeNode("b", b);
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| 219 | var xNode = CreateVariableTreeNode(column, "x");
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[10848] | 220 | logNode.AddSubtree(xNode);
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| 221 | logNode.AddSubtree(bNode);
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| 222 |
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| 223 | tree.Root.AddSubtree(logNode);
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| 224 | return tree;
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| 225 | }
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| 226 |
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[10853] | 227 | private ISymbolicExpressionTree GenTreePow_b_x(double b) {
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| 228 | var tree = CreateNewTree();
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[10848] | 229 |
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[10853] | 230 | // b ^ x
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| 231 | var powerNode = new Power().CreateTreeNode();
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[10866] | 232 | var bNode = CreateConstantTreeNode("b", b);
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| 233 | var xNode = CreateVariableTreeNode(column, "x");
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[10853] | 234 | powerNode.AddSubtree(bNode);
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| 235 | powerNode.AddSubtree(xNode);
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| 236 |
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| 237 | tree.Root.AddSubtree(powerNode);
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| 238 | return tree;
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| 239 | }
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| 240 |
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| 241 | private ISymbolicExpressionTree GenTreeDiv_1_x() {
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| 242 | var tree = CreateNewTree();
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| 243 |
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| 244 | // 1 / x
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| 245 | var divNode = new Division().CreateTreeNode();
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[10866] | 246 | var oneNode = CreateConstantTreeNode("1", 1.0);
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| 247 | var xNode = CreateVariableTreeNode(column, "x");
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[10853] | 248 | divNode.AddSubtree(oneNode);
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| 249 | divNode.AddSubtree(xNode);
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| 250 |
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| 251 | tree.Root.AddSubtree(divNode);
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| 252 | return tree;
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| 253 | }
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[10866] | 254 | private ISymbolicExpressionTree GenTreeShiftStdDist(string variable, double m_org, double s_org, double m_tar, double s_tar) {
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| 255 | var tree = CreateNewTree();
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| 256 | // x - m_org
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| 257 | var substractionNode = new Subtraction().CreateTreeNode();
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| 258 | var xNode = CreateVariableTreeNode(variable, "x");
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| 259 | var m_orgNode = CreateConstantTreeNode("m_org", m_org);
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| 260 | substractionNode.AddSubtree(xNode);
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| 261 | substractionNode.AddSubtree(m_orgNode);
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[10853] | 262 |
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[10866] | 263 | // (x - m_org) / s_org
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| 264 | var divisionNode = new Division().CreateTreeNode();
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| 265 | var s_orgNode = CreateConstantTreeNode("s_org", s_org);
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| 266 | divisionNode.AddSubtree(substractionNode);
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| 267 | divisionNode.AddSubtree(s_orgNode);
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[10853] | 268 |
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[10866] | 269 | // ((x - m_org) / s_org ) * s_tar
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| 270 | var multiplicationNode = new Multiplication().CreateTreeNode();
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| 271 | var s_tarNode = CreateConstantTreeNode("s_tar", s_tar);
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| 272 | multiplicationNode.AddSubtree(divisionNode);
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| 273 | multiplicationNode.AddSubtree(s_tarNode);
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| 274 |
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| 275 | // ((x - m_org) / s_org ) * s_tar + m_tar
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| 276 | var additionNode = new Addition().CreateTreeNode();
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| 277 | var m_tarNode = CreateConstantTreeNode("m_tar", m_tar);
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| 278 | additionNode.AddSubtree(multiplicationNode);
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| 279 | additionNode.AddSubtree(m_tarNode);
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| 280 |
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| 281 | tree.Root.AddSubtree(additionNode);
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| 282 | return tree;
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| 283 | }
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| 284 |
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| 285 | private ConstantTreeNode CreateConstantTreeNode(string description, double value) {
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[10869] | 286 | return new ConstantTreeNode(new Constant()) { Value = value };
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[10866] | 287 | }
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| 288 | private ISymbolicExpressionTreeNode CreateVariableTreeNode(string name, string description) {
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| 289 | return new Variable(name, description).CreateTreeNode();
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| 290 | }
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| 291 |
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| 292 |
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[10845] | 293 | private ISymbolicExpressionTree CreateNewTree() {
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| 294 | return new SymbolicExpressionTree(new ProgramRootSymbol().CreateTreeNode());
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| 295 | }
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[10846] | 296 |
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| 297 | private void InitComponents(ITransformation transformation) {
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| 298 | this.transformation = transformation;
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| 299 | column = transformation.Column;
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| 300 | tree = CreateNewTree();
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| 301 | }
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[10845] | 302 | }
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| 303 | }
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