Changeset 3462 for trunk/sources/HeuristicLab.Problems.DataAnalysis.Regression/3.3/Symbolic/SymbolicRegressionProblem.cs

Timestamp:

04/21/10 15:21:34 (14 years ago)

Author:

gkronber

Message:

Refactored symbolic expression tree encoding and problem classes for symbolic regression. #937 , #938

File:

• trunk/sources/HeuristicLab.Problems.DataAnalysis.Regression/3.3/Symbolic/SymbolicRegressionProblem.cs (modified) (2 diffs)

trunk/sources/HeuristicLab.Problems.DataAnalysis.Regression/3.3/Symbolic/SymbolicRegressionProblem.cs

@@ -34 +34 @@
 using HeuristicLab.Problems.DataAnalysis.Regression;
 using HeuristicLab.Problems.DataAnalysis.Symbolic;
+using HeuristicLab.Encodings.SymbolicExpressionTreeEncoding.ArchitectureAlteringOperators;
+using HeuristicLab.Encodings.SymbolicExpressionTreeEncoding.Manipulators;
+using HeuristicLab.Encodings.SymbolicExpressionTreeEncoding.Crossovers;
+using HeuristicLab.Encodings.SymbolicExpressionTreeEncoding.Creators;
 
 namespace HeuristicLab.Problems.DataAnalysis.Regression.Symbolic {
@@ -144 +148 @@
       var globalGrammar = new GlobalSymbolicExpressionGrammar(grammar);
       var visualizer = new BestValidationSymbolicRegressionSolutionVisualizer();
+      var interpreter = new SimpleArithmeticExpressionInterpreter();
       Parameters.Add(new ValueParameter<BoolValue>("Maximization", "Set to false as the error of the regression model should be minimized.", new BoolValue(false)));
       Parameters.Add(new ValueParameter<SymbolicExpressionTreeCreator>("SolutionCreator", "The operator which should be used to create new symbolic regression solutions.", creator));
+      Parameters.Add(new ValueParameter<ISymbolicExpressionTreeInterpreter>("SymbolicExpressionTreeInterpreter", "The interpreter that should be used to evaluate the symbolic expression tree.", interpreter));
       Parameters.Add(new ValueParameter<ISymbolicRegressionEvaluator>("Evaluator", "The operator which should be used to evaluate symbolic regression solutions.", evaluator));
       Parameters.Add(new OptionalValueParameter<DoubleValue>("BestKnownQuality", "The minimal error value that reached by symbolic regression solutions for the problem."));