I am just getting started using Rocketsled and I have been running the basic and complex examples. I’ve noticed that no matter what I change the predictor to (random, extratreesregressor, GaussianProcessRegressor, etc) the output always says that RandomForestRegressor is used and when I view the plots, it seems that RandomForestRegressor is being used.
The line that I have been editing in complex.py is mc.configure(wf_creator = wf_creator, dimensions=x_dim, acq=“maxmin”, predictor = “GaussianProcessRegressor”,get_z=get_z). So I have 3 questions:
Am I changing the predictor in the wrong place?
Is there just a bug in the code that will always print RandomForestRegressor no matter what predictor is used or
is the program always using RandomForestRegressor no matter what I change the predictor to in that line?
Any advice on how to proceed is welcome.
Thanks in advance!