boost_tree_xgboost.md
In parsnip: A Common API to Modeling and Analysis Functions

submodel prediction

Code
  multi_predict(class_fit, newdata = wa_churn[1:4, vars], trees = 5, type = "prob")
Condition
  Error in `multi_predict()`:
  ! Please use `new_data` instead of `newdata`.

interface to param arguments

! Please supply elements of the `params` list argument as main arguments to `set_engine()` rather than as part of `params`.
i See `?details_boost_tree_xgboost` for more information.

! Please supply elements of the `params` list argument as main arguments to `set_engine()` rather than as part of `params`.
i See `?details_boost_tree_xgboost` for more information.

! The argument `watchlist` is guarded by parsnip and will not be passed to `xgb.train()`.

! The arguments `watchlist` and `data` are guarded by parsnip and will not be passed to `xgb.train()`.

! Please supply elements of the `params` list argument as main arguments to `set_engine()` rather than as part of `params`.
i See `?details_boost_tree_xgboost` for more information.