I see in the documentation that 100 labels are allowed per dataset, but does that mean that I am restricted to only 100 labels in my model or can I re-train the same model with 100 new labels and a new dataset?
I work on automl at Google. You are restricted to a max of 100 labels for the model. Currently, re-training the model with model data is not supported. You'll be basically adding your new data to the old data and train from scratch. If you add more labels the second round, then you'll have > 100 labels, and that's above the limit. In your usecase, do you basically keep having new labels as you have more data?