Code
rand_forest() %>% set_args()
Condition
Error in `set_args()`:
! Please pass at least one named argument.
Code
rand_forest() %>% set_mode()
Condition
Error in `set_mode()`:
! Available modes for model type rand_forest are: "unknown", "classification", "regression", and "censored regression".
Code
rand_forest() %>% set_mode(2)
Condition
Error in `set_mode()`:
! 2 is not a known mode for model `rand_forest()`.
Code
rand_forest() %>% set_mode("haberdashery")
Condition
Error in `set_mode()`:
! "haberdashery" is not a known mode for model `rand_forest()`.
Code
set_mode(linear_reg(), "classification")
Condition
Error in `set_mode()`:
! "classification" is not a known mode for model `linear_reg()`.
Code
decision_tree() %>% set_mode("regression") %>% set_engine("C5.0")
Condition
Error in `set_engine()`:
! Available modes for engine C5.0 are: "unknown" and "classification".
Code
decision_tree(mode = "regression", engine = "C5.0")
Condition
Error in `decision_tree()`:
! Available modes for engine C5.0 are: "unknown" and "classification".
Code
decision_tree() %>% set_engine("C5.0") %>% set_mode("regression")
Condition
Error in `set_mode()`:
! Available modes for engine C5.0 are: "unknown" and "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" and "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" and "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", and "quantile regression".
Code
linear_reg(engine = "boop")
Condition
Error in `linear_reg()`:
x Engine "boop" is not supported for `linear_reg()`
i See `show_engines("linear_reg")`.
Code
linear_reg() %>% set_engine()
Condition
Error in `set_engine()`:
! Missing engine. Possible mode/engine combinations are: quantile regression {quantreg} and regression {lm, glm, glmnet, stan, spark, keras, brulee}.
Code
proportional_hazards() %>% set_engine()
Condition
Error in `set_engine()`:
! No known engines for `proportional_hazards()`.
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()`?
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