I have built a model with a few different inputs, lets say they are vectors A and B.
I have trained the model through fit = sm.optimizing(data=data, init=init, algorithm=‘BFGS’) with some values passed in to A and B.
Now I want to use the trained the model to make some prediction for new values for A and B. How can I pass in the new values into the train model and get the predicted results?
I am using PyStan by the way
Thank you very much for your kind help.