#region License Information /* HeuristicLab * Copyright (C) 2002-2010 Heuristic and Evolutionary Algorithms Laboratory (HEAL) * * This file is part of HeuristicLab. * * HeuristicLab is free software: you can redistribute it and/or modify * it under the terms of the GNU General Public License as published by * the Free Software Foundation, either version 3 of the License, or * (at your option) any later version. * * HeuristicLab is distributed in the hope that it will be useful, * but WITHOUT ANY WARRANTY; without even the implied warranty of * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the * GNU General Public License for more details. * * You should have received a copy of the GNU General Public License * along with HeuristicLab. If not, see . */ #endregion using System; using HeuristicLab.Common; using HeuristicLab.Persistence.Default.CompositeSerializers.Storable; using HeuristicLab.Core; using System.Collections.Generic; using HeuristicLab.Encodings.SymbolicExpressionTreeEncoding; using HeuristicLab.Encodings.SymbolicExpressionTreeEncoding.GeneralSymbols; using HeuristicLab.Problems.DataAnalysis.Regression.Symbolic.Symbols; namespace HeuristicLab.Problems.DataAnalysis.Regression.Symbolic { /// /// Evaluates FunctionTrees recursively by interpretation of the function symbols in each node. /// Simple unoptimized code, arithmetic expressions only. /// Not thread-safe! /// [StorableClass] [Item("SimpleArithmeticExpressionEvaluator", "Default evaluator for arithmetic symbolic expression trees.")] public class SimpleArithmeticExpressionEvaluator : GeneralSymbolicExpressionTreeEvaluator { private Dataset dataset; private int row; public IEnumerable EstimatedValues(SymbolicExpressionTree tree, Dataset dataset, IEnumerable rows) { this.dataset = dataset; foreach (var row in rows) { this.row = row; var estimatedValue = Evaluate(tree.Root.SubTrees[0]); if (double.IsNaN(estimatedValue) || double.IsInfinity(estimatedValue)) yield return 0.0; else yield return estimatedValue; } } public override double Evaluate(SymbolicExpressionTreeNode node) { if (node.Symbol is HeuristicLab.Problems.DataAnalysis.Regression.Symbolic.Symbols.Variable) { var variableTreeNode = node as VariableTreeNode; return dataset[row, 1 /*dataset.VariableIndex(variableTreeNode.VariableName)*/] * 1.0; //variableTreeNode.Weight; } else if (node.Symbol is Constant) { return ((ConstantTreeNode)node).Value; } else { return base.Evaluate(node); } } } }