Hi all,
sorry that this is very basic, but I followed online tutorials as best I could, and I’m still confused about these two aspects. Basically, they both boil down to: What IS the Booster class?
- I’m trying to figure out how to get predictions from my trained model, for individual examples coming in. This tutorial: https://xgboost.readthedocs.io/en/stable/jvm/java_intro.html#prediction uses Booster.predict(DMatrix data). But this tutorial I followed first doesn’t use the Booster class at all: https://github.com/oracle/tribuo/blob/main/tutorials/regression-tribuo-v4.ipynb Would I need to use Model.predict(Example example) then? What exactly is the difference between the two predict methods? Is one of them faster?
- I’m also wondering about the Booster class because it is mentioned in the tutorial on model IO, and I don’t know if I can save my model without it (I trained it without a Booster object after all, with the tutorial mentioned above), or if not, how to create the proper Booster object for it.
I hope someone can help me get started!
Thanks!