tests/testthat/_snaps/poisson_reg.md

In parsnip: A Common API to Modeling and Analysis Functions

updating

Code
  poisson_reg(penalty = 1) %>% set_engine("glmnet", lambda.min.ratio = 0.001) %>%
    update(mixture = tune())
Message
  ! parsnip could not locate an implementation for `poisson_reg` model specifications using the `glmnet` engine.
  i The parsnip extension package poissonreg implements support for this specification.
  i Please install (if needed) and load to continue.
Output
  Poisson Regression Model Specification (regression)

  Main Arguments:
    penalty = 1
    mixture = tune()

  Engine-Specific Arguments:
    lambda.min.ratio = 0.001

  Computational engine: glmnet

bad input

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

Code
  translate(poisson_reg(mode = "regression"), engine = NULL)
Condition
  Error in `translate.default()`:
  ! Please set an engine.

Code
  poisson_reg(formula = y ~ x)
Condition
  Error in `poisson_reg()`:
  ! unused argument (formula = y ~ x)

parsnip documentation built on Aug. 18, 2023, 1:07 a.m.