reactivated parallel training of multiple trees

classifier/fpclassifier/randomforest/FPCRandomForests.cpp

@@ -357,7 +357,7 @@ void FPCRandomForests::train(FeaturePool & fp, Examples & examples)
 		/******* training of an individual tree ****/
 		DecisionTree *tree = new DecisionTree(conf, maxClassNo);
 
-        #pragma omp critical
+        //#pragma omp critical
         builder->build(*tree, fp_subset, examples_subset, maxClassNo);
 
 		/******* prune tree using a simple minimum entropy criterion *****/