I’ve noticed in some comparative experiments with learn.predict() and learn.get_preds(), the results in preds is less accurate but learn.predict() will always have the same outcome. I’m not 100% sure on where to start looking as to why that’s an issue, but I wanted to bring it up in conversation as it’s something drastic for anyone that wants to do dataset predictions on a large dataset where learn.predict() just isn’t fast enough. Here is a notebook showing this:
You can see when I call learn.get_preds() on a test dataset, the results were always 0, or <50k. But when I do learn.predict(), they’re not!
Hopefully we can find a solution to this. @sgugger?