Hi,
I used to train some tabular models using keras/tensorflow and I’m running some tests with fast ai and I am having lots of fun. There is one thing that I couldn’t find in the classes or docs is if fast ai offers some way to convert continuous variable into buckets. I know that keras offers a feature column that does this: https://www.tensorflow.org/api_docs/python/tf/feature_column/bucketized_column. What would be the best way to convert a numeric column into different categories based on numerical ranges?
Thanks!