tests/testthat/_snaps/boost_tree_xgboost.md

In tidymodels/parsnip: A Common API to Modeling and Analysis Functions

xgboost execution, classification

Code
  res <- parsnip::fit(hpc_xgboost, class ~ novar, data = hpc, control = ctrl)
Condition
  Error:
  ! object 'novar' not found

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`.

validation sets

Code
  reg_fit <- boost_tree(trees = 20, mode = "regression") %>% set_engine("xgboost",
    validation = 3) %>% fit(mpg ~ ., data = mtcars[-(1:4), ])
Condition
  Error in `parsnip::xgb_train()`:
  ! `validation` should be on [0, 1).

early stopping

Code
  reg_fit <- boost_tree(trees = 20, stop_iter = 30, mode = "regression") %>%
    set_engine("xgboost", validation = 0.1) %>% fit(mpg ~ ., data = mtcars[-(1:4),
  ])
Condition
  Warning:
  `early_stop` was reduced to 19.

Code
  reg_fit <- boost_tree(trees = 20, stop_iter = 0, mode = "regression") %>%
    set_engine("xgboost", validation = 0.1) %>% fit(mpg ~ ., data = mtcars[-(1:4),
  ])
Condition
  Error in `parsnip::xgb_train()`:
  ! `early_stop` should be on [2, 20).

xgboost data conversion

Code
  from_df <- parsnip:::as_xgb_data(mtcar_x, mtcars_y, event_level = "second")
Condition
  Warning:
  `event_level` can only be set for binary outcomes.

argument checks for data dimensions

Code
  f_fit <- spec %>% fit(species ~ ., data = penguins, control = ctrl)
Condition
  Warning:
  ! 1000 samples were requested but there were 333 rows in the data.
  i 333 will be used.

Code
  xy_fit <- spec %>% fit_xy(x = penguins_dummy, y = penguins$species, control = ctrl)
Condition
  Warning:
  ! 1000 samples were requested but there were 333 rows in the data.
  i 333 will be used.

count/proportion parameters

Code
  boost_tree(mtry = 0.9, trees = 4) %>% set_engine("xgboost") %>% set_mode(
    "regression") %>% fit(mpg ~ ., data = mtcars)
Condition
  Error in `xgb_train()`:
  ! The option `counts = TRUE` was used but `colsample_bynode` was given as 0.9.
  i Please use a value >= 1 or use `counts = FALSE`.

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.

tidymodels/parsnip documentation built on Feb. 19, 2025, 2:10 a.m.