A Code-First Introduction to Natural Language Processing 2019

[jolackner (Johannes Lackner)]

Hi @AjayStark, have a look at @quan.tran’s helpful post & github on mixed tabular & text, it worked well for me:

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

Hey! I finally had time to work on it a bit. Code for version 2 is factorized into modules , there’s a new cleaner notebook for that (https://github.com/anhquan0412/fastai-tabular-text-demo/blob/master/mercari-tabular-text-version-2-complete.ipynb) and the repo is updated. Also I have added the predict_one_item function for version 2: All you need is to provide a series with column names (like the output of df.loc[some_index]) and it will spit out the prediction and raw_prediction. Haven’t tried…