Changeset 5686 for branches/DataAnalysis Refactoring/HeuristicLab.Problems.DataAnalysis.Symbolic/3.4/Tests/SymbolicDataAnalysisExpressionTreeInterpreterTest.cs

Timestamp:

03/15/11 13:34:38 (14 years ago)

Author:

mkommend

Message:

#1418: Finally added results from the grammar refactoring.

File:

• branches/DataAnalysis Refactoring/HeuristicLab.Problems.DataAnalysis.Symbolic/3.4/Tests/SymbolicDataAnalysisExpressionTreeInterpreterTest.cs (modified) (3 diffs)

branches/DataAnalysis Refactoring/HeuristicLab.Problems.DataAnalysis.Symbolic/3.4/Tests/SymbolicDataAnalysisExpressionTreeInterpreterTest.cs

@@ -25 +25 @@
 using System.Linq;
 using HeuristicLab.Encodings.SymbolicExpressionTreeEncoding;
-using HeuristicLab.Problems.DataAnalysis.Symbolic;
 using HeuristicLab.Random;
 using Microsoft.VisualStudio.TestTools.UnitTesting;
@@ -59 +58 @@
       var twister = new MersenneTwister(31415);
       var dataset = Util.CreateRandomDataset(twister, Rows, Columns);
-      var grammar = new GlobalSymbolicExpressionGrammar(new FullFunctionalExpressionGrammar());
-      grammar.MaxFunctionArguments = 0;
-      grammar.MaxFunctionDefinitions = 0;
-      grammar.MinFunctionArguments = 0;
-      grammar.MinFunctionDefinitions = 0;
+      var grammar = new FullFunctionalExpressionGrammar();
+      grammar.MaximumFunctionArguments = 0;
+      grammar.MaximumFunctionDefinitions = 0;
+      grammar.MinimumFunctionArguments = 0;
+      grammar.MinimumFunctionDefinitions = 0;
       var randomTrees = Util.CreateRandomTrees(twister, dataset, grammar, N, 1, 100, 0, 0);
       double[] estimation = new double[Rows];
@@ -78 +77 @@
       var twister = new MersenneTwister(31415);
       var dataset = Util.CreateRandomDataset(twister, Rows, Columns);
-      var grammar = new GlobalSymbolicExpressionGrammar(new ArithmeticExpressionGrammar());
-      grammar.MaxFunctionArguments = 0;
-      grammar.MaxFunctionDefinitions = 0;
-      grammar.MinFunctionArguments = 0;
-      grammar.MinFunctionDefinitions = 0;
+      var grammar = new ArithmeticExpressionGrammar();
+      grammar.MaximumFunctionArguments = 0;
+      grammar.MaximumFunctionDefinitions = 0;
+      grammar.MinimumFunctionArguments = 0;
+      grammar.MinimumFunctionDefinitions = 0;
       var randomTrees = Util.CreateRandomTrees(twister, dataset, grammar, N, 1, 100, 0, 0);
       double[] estimation = new double[Rows];