I’m trying to train a tabular model.
I have two data frames - one for train and the other for validation.
how can I create a TabularDataBunch using them?
I tried appending them, then using TabularDataBunch.from_df()
but they are too big to handle such operation…
I believe it’s
you mean there’s a function called from_dfs()?
it’s not a method of TabularDataBunch \ DataBunch
No, I believe it’s TabularDataBunch.from_dfs
Edit: sorry, v1 doesn’t have that, and neither does v2
What you could do is if it is too much memory, in fastai2 I’ve utilized NumPy if you can manage to pre-process the data beforehand (Grab your
procs on the training
DataFrame, then apply them to your valid
DataFrame), this is also something you could do without the numpy too, just some FFT