I have a couple general questions about using xgboost for multiclass classification in tidymodels. First, how exactly do the labels work? Do my current labels (factors) need to be converted to sequential numeric labels, or will a recipe preprocessor automatically do so? Also, does anything else need to be passed to the set_mode() function, or does "classification" cover both binary and multiclass classification? Thanks in advance!