Going back through the lesson6-rossmann notebook and I noticed that it ends with model training and doesn’t include any reference code for making predictions against the test set.
In particular …
How should we use the data block API to create a
DataBunch(or perhaps just a single
test_dfwith the same pre-processing learned from the training set applied to it (e.g., apply the missing value, categorification, and normalization metadata we get from our training set to the test set)?
Do the same
learn.predict()mechanics work for tabular?