tests/testthat/_snaps/boost_tree.md

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

check_args() works

Code
  spec <- set_mode(set_engine(boost_tree(trees = -1), "xgboost"),
  "classification")
  fit(spec, class ~ ., hpc)
Condition
  Error in `fit()`:
  ! `trees` must be a whole number larger than or equal to 0 or `NULL`, not the number -1.

Code
  spec <- set_mode(set_engine(boost_tree(sample_size = -10), "xgboost"),
  "classification")
  fit(spec, class ~ ., hpc)
Condition
  Error in `fit()`:
  ! `sample_size` must be a number between 0 and 1 or `NULL`, not the number -10.

Code
  spec <- set_mode(set_engine(boost_tree(tree_depth = -10), "xgboost"),
  "classification")
  fit(spec, class ~ ., hpc)
Condition
  Error in `fit()`:
  ! `tree_depth` must be a whole number larger than or equal to 0 or `NULL`, not the number -10.

Code
  spec <- set_mode(set_engine(boost_tree(min_n = -10), "xgboost"),
  "classification")
  fit(spec, class ~ ., hpc)
Condition
  Error in `fit()`:
  ! `min_n` must be a whole number larger than or equal to 0 or `NULL`, not the number -10.

tidymodels/parsnip documentation built on June 2, 2025, 8:10 a.m.