tests/testthat/_snaps/boost_tree.md

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

updating

Code
  boost_tree(trees = 1) %>% set_engine("C5.0", noGlobalPruning = TRUE) %>% update(
    trees = tune(), noGlobalPruning = tune())
Output
  Boosted Tree Model Specification (unknown mode)

  Main Arguments:
    trees = tune()

  Engine-Specific Arguments:
    noGlobalPruning = tune()

  Computational engine: C5.0

bad input

Code
  boost_tree(mode = "bogus")
Condition
  Error in `boost_tree()`:
  ! "bogus" is not a known mode for model `boost_tree()`.

Code
  translate(boost_tree(mode = "classification"), engine = NULL)
Message
  Used `engine = 'xgboost'` for translation.
Output
  Boosted Tree Model Specification (classification)

  Computational engine: xgboost

  Model fit template:
  parsnip::xgb_train(x = missing_arg(), y = missing_arg(), weights = missing_arg(), 
      nthread = 1, verbose = 0)

check_args() works

Code
  spec <- boost_tree(trees = -1) %>% set_engine("xgboost") %>% set_mode(
    "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 <- boost_tree(sample_size = -10) %>% set_engine("xgboost") %>% set_mode(
    "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 <- boost_tree(tree_depth = -10) %>% set_engine("xgboost") %>% set_mode(
    "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 <- boost_tree(min_n = -10) %>% set_engine("xgboost") %>% set_mode(
    "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 Feb. 19, 2025, 2:10 a.m.