Build mixed databunch and train end-to-end model for Tabular (categorical + continuous data) and Text data

Hi @quan.tran
Thanks a lot for sharing this. I am currently working on a model that extends ULMFiT to take numerical input features into account. I am a machine learning engineer at reply.ai and I am working on a product to classify customer support tickets based on text + metadata (things like warehouse status of the order). I am absolutely sure that only the combination of these two feature types can lead to creating a good model. So it is a very good test case.
I can not share the data with you :-1: . But I will let you know how it goes. :slight_smile:

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