11test_that(' extract' , {
2- skip_if(tune_check())
3-
42 x <- linear_reg() %> % set_engine(" lm" ) %> % fit(mpg ~ . , data = mtcars )
53 x_no_spec <- x
64 x_no_spec $ spec <- NULL
@@ -18,7 +16,6 @@ test_that('extract', {
1816
1917test_that(' extract parameter set from model with no parameters' , {
2018 skip_on_covr()
21- skip_if(tune_check())
2219
2320 lm_model <- linear_reg() %> % set_engine(" lm" )
2421
@@ -29,7 +26,6 @@ test_that('extract parameter set from model with no parameters', {
2926
3027test_that(' extract parameter set from model with main and engine parameters' , {
3128 skip_on_covr()
32- skip_if(tune_check())
3329
3430 bst_model <-
3531 boost_tree(mode = " classification" , trees = hardhat :: tune(" funky name \n " )) %> %
@@ -62,7 +58,6 @@ test_that('extract parameter set from model with no loaded implementation', {
6258
6359test_that(' extract single parameter from model with no parameters' , {
6460 skip_on_covr()
65- skip_if(tune_check())
6661
6762 lm_model <- linear_reg() %> % set_engine(" lm" )
6863
@@ -73,7 +68,6 @@ test_that('extract single parameter from model with no parameters', {
7368
7469test_that(' extract single parameter from model with main and engine parameters' , {
7570 skip_on_covr()
76- skip_if(tune_check())
7771
7872 bst_model <-
7973 boost_tree(mode = " classification" , trees = hardhat :: tune(" funky name \n " )) %> %
@@ -91,7 +85,6 @@ test_that('extract single parameter from model with main and engine parameters',
9185
9286test_that(" extract_parameter_dials doesn't error if namespaced args are used" , {
9387 skip_on_covr()
94- skip_if(tune_check())
9588
9689 bst_model <-
9790 logistic_reg(mode = " classification" , penalty = hardhat :: tune()) %> %
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