Hi, it depends on what is your endpoint in that. If you just want to apply processors (categorification, normalization and fill Missing) to new data you can do that. The first post in this topic should help you Some useful functions for tabular models
Feel free to ask me if something in confusing there (there is also a working example on Rosmann data)
As for the first post in link I gave, in function get_model_real_input, I think you can export (pickled) object named proc = data_prep.get_processors()[0][0] which contains all the processes
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