Changeset 13978 for trunk/sources/HeuristicLab.Algorithms.DataAnalysis

Timestamp:

07/02/16 13:56:35 (8 years ago)

Author:

gkronber

Message:

#1795: removed MCTS symb reg as algorithm in GBM to cut the dependency between GBM and MCTS symb reg (MCTS symb reg not ready for release yet)

File:

• trunk/sources/HeuristicLab.Algorithms.DataAnalysis/3.4/GBM/GradientBoostingRegressionAlgorithm.cs (modified) (2 diffs)

trunk/sources/HeuristicLab.Algorithms.DataAnalysis/3.4/GBM/GradientBoostingRegressionAlgorithm.cs

@@ -181 +181 @@
     public GradientBoostingRegressionAlgorithm() {
       Problem = new RegressionProblem(); // default problem
-      var mctsSymbReg = new MctsSymbolicRegressionAlgorithm();
-      mctsSymbReg.Iterations = 10000;
-      mctsSymbReg.StoreAlgorithmInEachRun = false;
-      var sgp = CreateOSGP();
+      var osgp = CreateOSGP();
       var regressionAlgs = new ItemSet<IAlgorithm>(new IAlgorithm[] {
         new RandomForestRegression(),
-        sgp,
-        mctsSymbReg
+        osgp,
       });
       foreach (var alg in regressionAlgs) alg.Prepare();
@@ -208 +204 @@
         new DoubleValue(0.5)));
       Parameters.Add(new ConstrainedValueParameter<IAlgorithm>(RegressionAlgorithmParameterName,
-        "The regression algorithm to use as a base learner", regressionAlgs, mctsSymbReg));
+        "The regression algorithm to use as a base learner", regressionAlgs, osgp));
       Parameters.Add(new FixedValueParameter<StringValue>(RegressionAlgorithmSolutionResultParameterName,
         "The name of the solution produced by the regression algorithm", new StringValue("Solution")));