remove registrations for engine arguments (#1054)

* remove registrations for engine arguments

* update NEWS entry

Author: simonpcouch

NEWS.md

@@ -2,7 +2,7 @@
 
 * Fixed bug in fitting some model types with the `"spark"` engine (#1045).
 
-* Fixed issue in `mlp()` metadata where the `stop_iter` engine argument had been mistakenly protected for the `"brulee"` engine. (#1050)
+* Fixed issues in metadata for the `"brulee"` engine where several arguments were mistakenly protected. (#1050, #1054)
 
 * `.filter_eval_time()` was moved to the survival standalone file. 
 

R/linear_reg_data.R

@@ -540,44 +540,6 @@ set_model_arg(
   has_submodel = FALSE
 )
 
-set_model_arg(
-  model = "linear_reg",
-  eng = "brulee",
-  parsnip = "epochs",
-  original = "epochs",
-  func = list(pkg = "dials", fun = "epochs"),
-  has_submodel = FALSE
-)
-
-set_model_arg(
-  model = "linear_reg",
-  eng = "brulee",
-  parsnip = "learn_rate",
-  original = "learn_rate",
-  func = list(pkg = "dials", fun = "learn_rate"),
-  has_submodel = FALSE
-)
-
-set_model_arg(
-  model = "linear_reg",
-  eng = "brulee",
-  parsnip = "momentum",
-  original = "momentum",
-  func = list(pkg = "dials", fun = "momentum"),
-  has_submodel = FALSE
-)
-
-
-set_model_arg(
-  model = "linear_reg",
-  eng = "brulee",
-  parsnip = "stop_iter",
-  original = "stop_iter",
-  func = list(pkg = "dials", fun = "stop_iter"),
-  has_submodel = FALSE
-)
-
-
 set_fit(
   model = "linear_reg",
   eng = "brulee",

R/logistic_reg_data.R

@@ -673,44 +673,6 @@ set_model_arg(
   has_submodel = FALSE
 )
 
-
-set_model_arg(
-  model = "logistic_reg",
-  eng = "brulee",
-  parsnip = "epochs",
-  original = "epochs",
-  func = list(pkg = "dials", fun = "epochs"),
-  has_submodel = FALSE
-)
-
-set_model_arg(
-  model = "logistic_reg",
-  eng = "brulee",
-  parsnip = "learn_rate",
-  original = "learn_rate",
-  func = list(pkg = "dials", fun = "learn_rate"),
-  has_submodel = FALSE
-)
-
-set_model_arg(
-  model = "logistic_reg",
-  eng = "brulee",
-  parsnip = "momentum",
-  original = "momentum",
-  func = list(pkg = "dials", fun = "momentum"),
-  has_submodel = FALSE
-)
-
-
-set_model_arg(
-  model = "logistic_reg",
-  eng = "brulee",
-  parsnip = "stop_iter",
-  original = "stop_iter",
-  func = list(pkg = "dials", fun = "stop_iter"),
-  has_submodel = FALSE
-)
-
 set_fit(
   model = "logistic_reg",
   eng = "brulee",

R/mlp_data.R

@@ -388,15 +388,6 @@ set_model_arg(
   has_submodel = FALSE
 )
 
-set_model_arg(
-  model = "mlp",
-  eng = "brulee",
-  parsnip = "mixture",
-  original = "mixture",
-  func = list(pkg = "dials", fun = "mixture"),
-  has_submodel = FALSE
-)
-
 set_model_arg(
   model = "mlp",
   eng = "brulee",
@@ -424,15 +415,6 @@ set_model_arg(
   has_submodel = FALSE
 )
 
-set_model_arg(
-  model = "mlp",
-  eng = "brulee",
-  parsnip = "momentum",
-  original = "momentum",
-  func = list(pkg = "dials", fun = "momentum"),
-  has_submodel = FALSE
-)
-
 set_model_arg(
   model = "mlp",
   eng = "brulee",

R/multinom_reg_data.R

@@ -379,43 +379,6 @@ set_model_arg(
   has_submodel = FALSE
 )
 
-set_model_arg(
-  model = "multinom_reg",
-  eng = "brulee",
-  parsnip = "epochs",
-  original = "epochs",
-  func = list(pkg = "dials", fun = "epochs"),
-  has_submodel = FALSE
-)
-
-set_model_arg(
-  model = "multinom_reg",
-  eng = "brulee",
-  parsnip = "learn_rate",
-  original = "learn_rate",
-  func = list(pkg = "dials", fun = "learn_rate"),
-  has_submodel = FALSE
-)
-
-set_model_arg(
-  model = "multinom_reg",
-  eng = "brulee",
-  parsnip = "momentum",
-  original = "momentum",
-  func = list(pkg = "dials", fun = "momentum"),
-  has_submodel = FALSE
-)
-
-
-set_model_arg(
-  model = "multinom_reg",
-  eng = "brulee",
-  parsnip = "stop_iter",
-  original = "stop_iter",
-  func = list(pkg = "dials", fun = "stop_iter"),
-  has_submodel = FALSE
-)
-
 set_fit(
   model = "multinom_reg",
   eng = "brulee",