tests/testthat/_snaps/logistic_reg.md

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

updating

Code
  logistic_reg(mixture = 0) %>% set_engine("glmnet", nlambda = 10) %>% update(
    mixture = tune(), nlambda = tune())
Output
  Logistic Regression Model Specification (classification)

  Main Arguments:
    mixture = tune()

  Engine-Specific Arguments:
    nlambda = tune()

  Computational engine: glmnet

bad input

Code
  res <- mtcars %>% dplyr::mutate(cyl = as.factor(cyl)) %>% fit(logistic_reg(),
  cyl ~ mpg, data = .)
Condition
  Warning:
  ! Logistic regression is intended for modeling binary outcomes, but there are 3 levels in the outcome.
  i If this is unintended, adjust outcome levels accordingly or see the `multinom_reg()` function.
  Warning:
  glm.fit: algorithm did not converge
  Warning:
  glm.fit: fitted probabilities numerically 0 or 1 occurred

check_args() works

Code
  spec <- logistic_reg(mixture = -1) %>% set_engine("glm") %>% set_mode(
    "classification")
  fit(spec, Class ~ ., lending_club)
Condition
  Error in `fit()`:
  ! `mixture` must be a number between 0 and 1 or `NULL`, not the number -1.

Code
  spec <- logistic_reg(penalty = -1) %>% set_engine("glm") %>% set_mode(
    "classification")
  fit(spec, Class ~ ., lending_club)
Condition
  Error in `fit()`:
  ! `penalty` must be a number larger than or equal to 0 or `NULL`, not the number -1.

Code
  spec <- logistic_reg(mixture = 0.5) %>% set_engine("LiblineaR") %>% set_mode(
    "classification")
  fit(spec, Class ~ ., lending_club)
Condition
  Error in `fit()`:
  x For the LiblineaR engine, mixture must be 0 or 1, not 0.5.
  i Choose a pure ridge model with `mixture = 0` or a pure lasso model with `mixture = 1`.
  ! The Liblinear engine does not support other values.

Code
  spec <- logistic_reg(penalty = 0) %>% set_engine("LiblineaR") %>% set_mode(
    "classification")
  fit(spec, Class ~ ., lending_club)
Condition
  Error in `fit()`:
  ! For the LiblineaR engine, `penalty` must be `> 0`, not 0.

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