1 | #region License Information
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2 | /* HeuristicLab
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3 | * Copyright (C) 2002-2010 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;
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23 | using System.Collections.Generic;
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24 | using System.Linq;
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25 | using HeuristicLab.Common;
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26 | using HeuristicLab.Core;
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27 | using HeuristicLab.Encodings.SymbolicExpressionTreeEncoding;
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28 | using HeuristicLab.Encodings.SymbolicExpressionTreeEncoding.Compiler;
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29 | using HeuristicLab.Encodings.SymbolicExpressionTreeEncoding.Symbols;
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30 | using HeuristicLab.Persistence.Default.CompositeSerializers.Storable;
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31 | using HeuristicLab.Problems.DataAnalysis.Symbolic.Symbols;
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32 |
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33 | namespace HeuristicLab.Problems.DataAnalysis.Symbolic {
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34 | [StorableClass]
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35 | [Item("SimpleArithmeticExpressionInterpreter", "Interpreter for arithmetic symbolic expression trees including function calls.")]
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36 | // not thread safe!
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37 | public sealed class SimpleArithmeticExpressionInterpreter : NamedItem, ISymbolicExpressionTreeInterpreter {
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38 | private class OpCodes {
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39 | public const byte Add = 1;
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40 | public const byte Sub = 2;
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41 | public const byte Mul = 3;
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42 | public const byte Div = 4;
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43 |
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44 | public const byte Sin = 5;
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45 | public const byte Cos = 6;
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46 | public const byte Tan = 7;
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47 |
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48 | public const byte Log = 8;
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49 | public const byte Exp = 9;
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50 |
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51 | public const byte IfThenElse = 10;
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52 |
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53 | public const byte GT = 11;
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54 | public const byte LT = 12;
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55 |
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56 | public const byte AND = 13;
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57 | public const byte OR = 14;
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58 | public const byte NOT = 15;
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59 |
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60 |
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61 | public const byte Average = 16;
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62 |
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63 | public const byte Call = 17;
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64 |
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65 | public const byte Variable = 18;
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66 | public const byte LagVariable = 19;
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67 | public const byte Constant = 20;
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68 | public const byte Arg = 21;
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69 |
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70 | public const byte TimeLag = 22;
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71 | public const byte Integral = 23;
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72 | public const byte Derivative = 24;
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73 |
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74 | public const byte VariableCondition = 25;
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75 | }
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76 |
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77 | private Dictionary<Type, byte> symbolToOpcode = new Dictionary<Type, byte>() {
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78 | { typeof(Addition), OpCodes.Add },
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79 | { typeof(Subtraction), OpCodes.Sub },
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80 | { typeof(Multiplication), OpCodes.Mul },
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81 | { typeof(Division), OpCodes.Div },
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82 | { typeof(Sine), OpCodes.Sin },
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83 | { typeof(Cosine), OpCodes.Cos },
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84 | { typeof(Tangent), OpCodes.Tan },
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85 | { typeof(Logarithm), OpCodes.Log },
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86 | { typeof(Exponential), OpCodes.Exp },
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87 | { typeof(IfThenElse), OpCodes.IfThenElse },
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88 | { typeof(GreaterThan), OpCodes.GT },
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89 | { typeof(LessThan), OpCodes.LT },
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90 | { typeof(And), OpCodes.AND },
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91 | { typeof(Or), OpCodes.OR },
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92 | { typeof(Not), OpCodes.NOT},
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93 | { typeof(Average), OpCodes.Average},
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94 | { typeof(InvokeFunction), OpCodes.Call },
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95 | { typeof(HeuristicLab.Problems.DataAnalysis.Symbolic.Symbols.Variable), OpCodes.Variable },
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96 | { typeof(LaggedVariable), OpCodes.LagVariable },
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97 | { typeof(Constant), OpCodes.Constant },
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98 | { typeof(Argument), OpCodes.Arg },
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99 | { typeof(TimeLag), OpCodes.TimeLag},
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100 | { typeof(Integral), OpCodes.Integral},
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101 | { typeof(Derivative), OpCodes.Derivative},
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102 | { typeof(VariableCondition),OpCodes.VariableCondition}
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103 | };
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104 | private const int ARGUMENT_STACK_SIZE = 1024;
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105 |
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106 | private Dataset dataset;
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107 | private int row;
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108 | private Instruction[] code;
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109 | private int pc;
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110 | private double[] argumentStack = new double[ARGUMENT_STACK_SIZE];
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111 | private int argStackPointer;
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112 |
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113 | public override bool CanChangeName {
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114 | get { return false; }
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115 | }
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116 | public override bool CanChangeDescription {
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117 | get { return false; }
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118 | }
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119 |
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120 | [StorableConstructor]
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121 | private SimpleArithmeticExpressionInterpreter(bool deserializing) : base(deserializing) { }
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122 | private SimpleArithmeticExpressionInterpreter(SimpleArithmeticExpressionInterpreter original, Cloner cloner) : base(original, cloner) { }
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123 |
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124 | public override IDeepCloneable Clone(Cloner cloner) {
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125 | return new SimpleArithmeticExpressionInterpreter(this, cloner);
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126 | }
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127 |
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128 | public SimpleArithmeticExpressionInterpreter()
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129 | : base() {
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130 | }
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131 |
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132 | public IEnumerable<double> GetSymbolicExpressionTreeValues(SymbolicExpressionTree tree, Dataset dataset, IEnumerable<int> rows) {
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133 | this.dataset = dataset;
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134 | var compiler = new SymbolicExpressionTreeCompiler();
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135 | compiler.AddInstructionPostProcessingHook(PostProcessInstruction);
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136 | code = compiler.Compile(tree, MapSymbolToOpCode);
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137 | foreach (var row in rows) {
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138 | this.row = row;
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139 | pc = 0;
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140 | argStackPointer = 0;
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141 | yield return Evaluate();
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142 | }
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143 | }
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144 |
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145 | private Instruction PostProcessInstruction(Instruction instr) {
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146 | if (instr.opCode == OpCodes.Variable) {
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147 | var variableTreeNode = instr.dynamicNode as VariableTreeNode;
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148 | instr.iArg0 = (ushort)dataset.GetVariableIndex(variableTreeNode.VariableName);
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149 | } else if (instr.opCode == OpCodes.LagVariable) {
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150 | var variableTreeNode = instr.dynamicNode as LaggedVariableTreeNode;
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151 | instr.iArg0 = (ushort)dataset.GetVariableIndex(variableTreeNode.VariableName);
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152 | } else if (instr.opCode == OpCodes.VariableCondition) {
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153 | var variableConditionTreeNode = instr.dynamicNode as VariableConditionTreeNode;
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154 | instr.iArg0 = (ushort)dataset.GetVariableIndex(variableConditionTreeNode.VariableName);
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155 | }
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156 | return instr;
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157 | }
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158 |
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159 | private byte MapSymbolToOpCode(SymbolicExpressionTreeNode treeNode) {
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160 | if (symbolToOpcode.ContainsKey(treeNode.Symbol.GetType()))
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161 | return symbolToOpcode[treeNode.Symbol.GetType()];
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162 | else
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163 | throw new NotSupportedException("Symbol: " + treeNode.Symbol);
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164 | }
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165 |
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166 | private double Evaluate() {
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167 | Instruction currentInstr = code[pc++];
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168 | switch (currentInstr.opCode) {
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169 | case OpCodes.Add: {
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170 | double s = Evaluate();
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171 | for (int i = 1; i < currentInstr.nArguments; i++) {
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172 | s += Evaluate();
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173 | }
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174 | return s;
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175 | }
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176 | case OpCodes.Sub: {
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177 | double s = Evaluate();
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178 | for (int i = 1; i < currentInstr.nArguments; i++) {
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179 | s -= Evaluate();
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180 | }
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181 | if (currentInstr.nArguments == 1) s = -s;
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182 | return s;
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183 | }
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184 | case OpCodes.Mul: {
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185 | double p = Evaluate();
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186 | for (int i = 1; i < currentInstr.nArguments; i++) {
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187 | p *= Evaluate();
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188 | }
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189 | return p;
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190 | }
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191 | case OpCodes.Div: {
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192 | double p = Evaluate();
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193 | for (int i = 1; i < currentInstr.nArguments; i++) {
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194 | p /= Evaluate();
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195 | }
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196 | if (currentInstr.nArguments == 1) p = 1.0 / p;
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197 | return p;
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198 | }
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199 | case OpCodes.Average: {
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200 | double sum = Evaluate();
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201 | for (int i = 1; i < currentInstr.nArguments; i++) {
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202 | sum += Evaluate();
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203 | }
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204 | return sum / currentInstr.nArguments;
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205 | }
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206 | case OpCodes.Cos: {
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207 | return Math.Cos(Evaluate());
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208 | }
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209 | case OpCodes.Sin: {
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210 | return Math.Sin(Evaluate());
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211 | }
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212 | case OpCodes.Tan: {
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213 | return Math.Tan(Evaluate());
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214 | }
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215 | case OpCodes.Exp: {
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216 | return Math.Exp(Evaluate());
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217 | }
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218 | case OpCodes.Log: {
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219 | return Math.Log(Evaluate());
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220 | }
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221 | case OpCodes.IfThenElse: {
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222 | double condition = Evaluate();
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223 | double result;
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224 | if (condition > 0.0) {
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225 | result = Evaluate(); SkipBakedCode();
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226 | } else {
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227 | SkipBakedCode(); result = Evaluate();
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228 | }
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229 | return result;
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230 | }
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231 | case OpCodes.AND: {
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232 | double result = Evaluate();
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233 | for (int i = 1; i < currentInstr.nArguments; i++) {
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234 | if (result <= 0.0) SkipBakedCode();
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235 | else {
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236 | result = Evaluate();
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237 | }
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238 | }
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239 | return result <= 0.0 ? -1.0 : 1.0;
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240 | }
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241 | case OpCodes.OR: {
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242 | double result = Evaluate();
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243 | for (int i = 1; i < currentInstr.nArguments; i++) {
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244 | if (result > 0.0) SkipBakedCode();
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245 | else {
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246 | result = Evaluate();
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247 | }
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248 | }
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249 | return result > 0.0 ? 1.0 : -1.0;
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250 | }
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251 | case OpCodes.NOT: {
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252 | return -Evaluate();
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253 | }
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254 | case OpCodes.GT: {
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255 | double x = Evaluate();
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256 | double y = Evaluate();
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257 | if (x > y) return 1.0;
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258 | else return -1.0;
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259 | }
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260 | case OpCodes.LT: {
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261 | double x = Evaluate();
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262 | double y = Evaluate();
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263 | if (x < y) return 1.0;
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264 | else return -1.0;
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265 | }
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266 | case OpCodes.Call: {
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267 | // evaluate sub-trees
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268 | // push on argStack in reverse order
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269 | for (int i = 0; i < currentInstr.nArguments; i++) {
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270 | argumentStack[argStackPointer + currentInstr.nArguments - i] = Evaluate();
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271 | }
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272 | argStackPointer += currentInstr.nArguments;
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273 |
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274 | // save the pc
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275 | int nextPc = pc;
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276 | // set pc to start of function
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277 | pc = currentInstr.iArg0;
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278 | // evaluate the function
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279 | double v = Evaluate();
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280 |
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281 | // decrease the argument stack pointer by the number of arguments pushed
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282 | // to set the argStackPointer back to the original location
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283 | argStackPointer -= currentInstr.nArguments;
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284 |
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285 | // restore the pc => evaluation will continue at point after my subtrees
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286 | pc = nextPc;
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287 | return v;
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288 | }
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289 | case OpCodes.Arg: {
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290 | return argumentStack[argStackPointer - currentInstr.iArg0];
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291 | }
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292 | case OpCodes.Variable: {
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293 | var variableTreeNode = currentInstr.dynamicNode as VariableTreeNode;
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294 | return dataset[row, currentInstr.iArg0] * variableTreeNode.Weight;
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295 | }
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296 | case OpCodes.LagVariable: {
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297 | var lagVariableTreeNode = currentInstr.dynamicNode as LaggedVariableTreeNode;
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298 | int actualRow = row + lagVariableTreeNode.Lag;
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299 | if (actualRow < 0 || actualRow >= dataset.Rows) throw new ArgumentException("Out of range access to dataset row: " + row);
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300 | return dataset[actualRow, currentInstr.iArg0] * lagVariableTreeNode.Weight;
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301 | }
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302 | case OpCodes.Constant: {
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303 | var constTreeNode = currentInstr.dynamicNode as ConstantTreeNode;
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304 | return constTreeNode.Value;
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305 | }
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306 | case OpCodes.TimeLag: {
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307 | var timeLagTreeNode = (LaggedTreeNode)currentInstr.dynamicNode;
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308 | if (row + timeLagTreeNode.Lag < 0 || row + timeLagTreeNode.Lag >= dataset.Rows)
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309 | return double.NaN;
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310 |
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311 | row += timeLagTreeNode.Lag;
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312 | double result = Evaluate();
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313 | row -= timeLagTreeNode.Lag;
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314 | return result;
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315 | }
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316 | case OpCodes.Integral: {
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317 | int nextPc = pc;
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318 | var timeLagTreeNode = (LaggedTreeNode)currentInstr.dynamicNode;
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319 | if (row + timeLagTreeNode.Lag < 0 || row + timeLagTreeNode.Lag >= dataset.Rows)
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320 | return double.NaN;
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321 | double sum = 0.0;
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322 | if (timeLagTreeNode.IterateNodesPrefix().OfType<VariableTreeNode>().Any()) {
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323 | for (int i = 0; i < Math.Abs(timeLagTreeNode.Lag); i++) {
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324 | row += Math.Sign(timeLagTreeNode.Lag);
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325 | sum += Evaluate();
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326 | pc = nextPc;
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327 | }
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328 | row -= timeLagTreeNode.Lag;
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329 | sum += Evaluate();
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330 | } else sum = Math.Abs(timeLagTreeNode.Lag) * Evaluate();
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331 | return sum;
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332 | }
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333 |
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334 | //mkommend: derivate calculation taken from:
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335 | //http://www.holoborodko.com/pavel/numerical-methods/numerical-derivative/smooth-low-noise-differentiators/
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336 | //one sided smooth differentiatior, N = 4
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337 | // y' = 1/8h (f_i + 2f_i-1, -2 f_i-3 - f_i-4)
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338 | case OpCodes.Derivative: {
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339 | if (row - 4 < 0) return double.NaN;
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340 | int nextPc = pc;
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341 | double f_0 = Evaluate(); row--;
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342 | pc = nextPc;
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343 | double f_1 = Evaluate(); row -= 2;
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344 | pc = nextPc;
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345 | double f_3 = Evaluate(); row--;
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346 | pc = nextPc;
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347 | double f_4 = Evaluate();
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348 | row += 4;
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349 |
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350 | return (f_0 + 2 * f_1 - 2 * f_3 - f_4) / 8; // h = 1
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351 | }
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352 |
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353 | //mkommend: this symbol uses the logistic function f(x) = 1 / (1 + e^(-alpha * x) )
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354 | //to determine the relative amounts of the true and false branch see http://en.wikipedia.org/wiki/Logistic_function
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355 | case OpCodes.VariableCondition: {
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356 | var variableConditionTreeNode = (VariableConditionTreeNode)currentInstr.dynamicNode;
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357 | double variableValue = dataset[row, currentInstr.iArg0];
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358 | double x = variableValue - variableConditionTreeNode.Threshold;
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359 | double p = 1 / (1 + Math.Exp(-variableConditionTreeNode.Slope * x));
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360 |
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361 | double trueBranch = Evaluate();
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362 | double falseBranch = Evaluate();
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363 |
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364 | return trueBranch * p + falseBranch * (1 - p);
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365 | }
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366 | default: throw new NotSupportedException();
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367 | }
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368 | }
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369 |
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370 | // skips a whole branch
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371 | private void SkipBakedCode() {
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372 | int i = 1;
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373 | while (i > 0) {
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374 | i += code[pc++].nArguments;
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375 | i--;
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376 | }
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377 | }
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378 | }
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379 | }
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