Ability to make child models of ensemble use part of features

[Crispy13]

Description

A clear and concise description of what the feature is.

If a ensemble model consists of automm, cat, gbm, and the train dataset have text columns, make automm use the text features only, except for the other non deep learning model.

I think this is maybe specific to my dataset, whose text feature has too many n grams (256).

I used this text feature but overfitting was detected in tabularpredictor ensemble model. I think the number of features was too high due to ngrams and so overfitting occured.

So, It would be good that I can feed text features only to deep learning model(which can handle the text feature without ngram), not to tabular model(catboost, etc)

• Please indicate which module (multimodal, tabular, timeseries) this proposal refers to. Tabular.
• If the proposal is about an API modification, provide mock examples, if possible.

Thanks