Combining vision and tabular models in v2

[muellerzr (Zachary Mueller)]

There’s a link where someone attempted to combine the Tabular with Text. You can’t data block it right away because TabularPandas isn’t a block (and isn’t really anything like what the API is, it’s kinda floating separately). I’ll find it in a moment and edit this post

Edit:

How to add tfms to an existing Pipeline (working on Mixed Tabular+Text)

What’s interesting if I do this it kinda works … lm_vocab = pickle.load(open("vocab.pkl", "rb")) text_tfms = [Tokenizer.from_df(text_cols=text_names), Numericalize(vocab=lm_vocab)] tab_procs = [FillMissing, Categorify, Normalize] procs = tab_procs + text_tfms mtp = MixedTabularPandas(joined_df, text_names, text_tfms, lm_vocab, procs=procs, cat_names=cat_names, cont_names=cont_names, y_names=dep_var, block_y=CategoryBlock, …

Found it @florianl

However, in general the API will let you use any number of inputs and outputs. When using the high level datablock, specify n_inp=2 for two input blocks (being the first two you pass in)