logistic_reg.md
In 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