diff --git a/scripts/NNDy.py b/scripts/NNDy.py
index 23e3873..030ab6b 100644
--- a/scripts/NNDy.py
+++ b/scripts/NNDy.py
@@ -97,7 +97,7 @@ if __name__ == '__main__':
 
                                        #other settings
                                        # %of allowed variation (from 0 to 1) - wrt each parameter range - from current best parameters found, limits the exploration around the current global minimum of the cost function
-                                       trust_region = 1,
+                                       trust_region = 1, # 1 is not a valid value, if no trust region is needed comment this whole line
                                        #output parameters over which cost is computed are noisy quantities
                                        cost_has_noise = True,
                                        #if False, waits for the experiment to be performed every time so that every new optimization iteration trains on an enlarged training set