tests/testthat/_snaps/model-bart.md

In tidypredict: Run Predictions Inside the Database

returns the right output

Code
  rlang::expr_text(tidypredict_fit(bart_round(pm)))
Output
  [1] "(case_when(x1 <= -1.319 ~ -0.271, .default = case_when(x1 <= \n    2.265 ~ case_when(x1 <= 1.04 ~ 0.014, .default = 0.152), \n    .default = -0.059)) + case_when(x1 <= 0.087 ~ -0.061, .default = 0.041) + \n    case_when(x1 <= -1.365 ~ -0.217, .default = case_when(x1 <= \n        2.265 ~ case_when(x1 <= 1.04 ~ -0.061, .default = 0.176), \n        .default = 0.434)) + case_when(x1 <= 0.087 ~ -0.081, \n    .default = 0.025))/2 * 13.631 + 3.022"

classification models are not supported

Code
  tidypredict_fit(model)
Condition
  Error in `check_bart_supported()`:
  ! Classification `dbarts::bart()` models are not supported.
  i Only regression models can be converted to tidy formulas.
  i Classification uses the probit link, which cannot be translated to SQL.

Code
  parse_model(model)
Condition
  Error in `check_bart_supported()`:
  ! Classification `dbarts::bart()` models are not supported.
  i Only regression models can be converted to tidy formulas.
  i Classification uses the probit link, which cannot be translated to SQL.

models fit without trees are not supported

Code
  tidypredict_fit(model)
Condition
  Error in `check_bart_supported()`:
  ! `tidypredict_fit()` needs the trees of the `dbarts::bart()` model.
  i Refit the model with `keeptrees = TRUE`.

models fit on unnamed predictors are not supported

Code
  tidypredict_fit(model)
Condition
  Error in `bart_column_map()`:
  ! `tidypredict_fit()` needs named predictors, the `dbarts::bart()` model was fit on an unnamed matrix.

.extract_bart_trees() errors on the wrong model

Code
  .extract_bart_trees(lm(mpg ~ wt, mtcars))
Condition
  Error in `.extract_bart_trees()`:
  ! `model` must be <bart>, not a <lm> object.

Code
  .extract_bart_scaling(lm(mpg ~ wt, mtcars))
Condition
  Error in `.extract_bart_scaling()`:
  ! `model` must be <bart>, not a <lm> object.

tidypredict documentation built on Oct. 18, 2026, 5:06 p.m.