tests/testthat/_snaps/linear_reg.md

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

updating

Code
  linear_reg(mixture = 0) %>% set_engine("glmnet", nlambda = 10) %>% update(
    mixture = tune(), nlambda = tune())
Output
  Linear Regression Model Specification (regression)

  Main Arguments:
    mixture = tune()

  Engine-Specific Arguments:
    nlambda = tune()

  Computational engine: glmnet

newdata error trapping

Code
  predict(res_xy, newdata = hpc[1:3, num_pred])
Condition
  Error in `predict()`:
  ! Please use `new_data` instead of `newdata`.

check_args() works

Code
  spec <- linear_reg(mixture = -1) %>% set_engine("lm") %>% set_mode("regression")
  fit(spec, compounds ~ ., hpc)
Condition
  Error in `fit()`:
  ! `mixture` must be a number between 0 and 1 or `NULL`, not the number -1.

Code
  spec <- linear_reg(penalty = -1) %>% set_engine("lm") %>% set_mode("regression")
  fit(spec, compounds ~ ., hpc)
Condition
  Error in `fit()`:
  ! `penalty` must be a number larger than or equal to 0 or `NULL`, not the number -1.

topepo/parsnip documentation built on April 16, 2024, 3:23 a.m.