The proc_df function from fastai.structured is not available in fastai V1; you are supposed to pass ‘Categorify’ etc. as procs to the data block API. This works great for the standard models (like with the tabular learner).
But how do you use the fastai preprocessing pipeline for models that do not use databunches (like a random forest from sklearn)? Or what do you do if you want to compare a deep learning model to a classical model on the same data?