args_and_modes.md
In parsnip: A Common API to Modeling and Analysis Functions

can't set a mode that isn't allowed by the model spec

Code
  set_mode(linear_reg(), "classification")
Condition
  Error in `set_mode()`:
  ! 'classification' is not a known mode for model `linear_reg()`.

unavailable modes for an engine and vice-versa

Code
  decision_tree() %>% set_mode("regression") %>% set_engine("C5.0")
Condition
  Error in `set_engine()`:
  ! Available modes for engine C5.0 are: 'unknown', 'classification'

Code
  decision_tree(mode = "regression", engine = "C5.0")
Condition
  Error in `decision_tree()`:
  ! Available modes for engine C5.0 are: 'unknown', 'classification'

Code
  decision_tree() %>% set_engine("C5.0") %>% set_mode("regression")
Condition
  Error in `set_mode()`:
  ! Available modes for engine C5.0 are: 'unknown', 'classification'

Code
  decision_tree(engine = NULL) %>% set_engine("C5.0") %>% set_mode("regression")
Condition
  Error in `set_mode()`:
  ! Available modes for engine C5.0 are: 'unknown', 'classification'

Code
  decision_tree(engine = NULL) %>% set_mode("regression") %>% set_engine("C5.0")
Condition
  Error in `set_engine()`:
  ! Available modes for engine C5.0 are: 'unknown', 'classification'

Code
  proportional_hazards() %>% set_mode("regression")
Condition
  Error in `set_mode()`:
  ! 'regression' is not a known mode for model `proportional_hazards()`.

Code
  linear_reg() %>% set_mode()
Condition
  Error in `set_mode()`:
  ! Available modes for model type linear_reg are: 'unknown', 'regression'

Code
  linear_reg(engine = "boop")
Condition
  Error in `linear_reg()`:
  ! Engine 'boop' is not supported for `linear_reg()`. See `show_engines('linear_reg')`.

Code
  linear_reg() %>% set_engine()
Condition
  Error in `set_engine()`:
  ! Missing engine. Possible mode/engine combinations are: regression {lm, glm, glmnet, stan, spark, keras, brulee}

Code
  proportional_hazards() %>% set_engine()
Condition
  Error in `set_engine()`:
  ! No known engines for `proportional_hazards()`.

set_* functions error when input isn't model_spec

Code
  set_mode(mtcars, "regression")
Condition
  Error in `set_mode()`:
  ! `set_mode()` expected a model specification to be supplied to the `object` argument, but received a(n) `data.frame` object.

Code
  set_args(mtcars, blah = "blah")
Condition
  Error in `set_args()`:
  ! `set_args()` expected a model specification to be supplied to the `object` argument, but received a(n) `data.frame` object.

Code
  bag_tree %>% set_mode("classification")
Condition
  Error in `set_mode()`:
  ! `set_mode()` expected a model specification to be supplied to the `object` argument, but received a(n) `function` object.
  i Did you mistakenly pass `model_function` rather than `model_function()`?

Code
  bag_tree %>% set_engine("rpart")
Condition
  Error in `set_engine()`:
  ! `set_engine()` expected a model specification to be supplied to the `object` argument, but received a(n) `function` object.
  i Did you mistakenly pass `model_function` rather than `model_function()`?

Code
  bag_tree %>% set_args(boop = "bop")
Condition
  Error in `set_args()`:
  ! `set_args()` expected a model specification to be supplied to the `object` argument, but received a(n) `function` object.
  i Did you mistakenly pass `model_function` rather than `model_function()`?

Code
  1L %>% set_args(mode = "classification")
Condition
  Error in `set_args()`:
  ! `set_args()` expected a model specification to be supplied to the `object` argument, but received a(n) `integer` object.

Code
  bag_tree %>% set_mode("classification")
Condition
  Error in `set_mode()`:
  ! `set_mode()` expected a model specification to be supplied to the `object` argument, but received a(n) `function` object.
  i Did you mistakenly pass `model_function` rather than `model_function()`?