How to deal with different categories in pytorch train, test, and holdout set
u can try to use one hot encoding instead
PS: this is a suggestion not an answer
I have a tabular pytorch model that takes in cities and zipcodes as a categorical embeddings.  However, I can't stratify effectively based on those columns. 
How can I get pytorch to run if it's missing a categorical value in the test set that's not in the train set, or has a categorical value in the holdout set that was not in the train/test set?