fix tests

Author: sebffischer

DESCRIPTION

@@ -70,6 +70,7 @@ Suggests:
     viridis,
     visNetwork,
     testthat (>= 3.0.0),
+    tibble,
     tfevents,
     torchvision (>= 0.6.0),
     waldo

R/TorchOptimizer.R

@@ -254,7 +254,7 @@ mlr3torch_optimizers$add("adamw",
       lr           = p_dbl(default = 0.001, lower = 0, upper = Inf, tags = "train"),
       betas        = p_uty(default = c(0.9, 0.999), tags = "train", custom_check = check_betas),
       eps          = p_dbl(default = 1e-08, lower = 1e-16, upper = 1e-4, tags = "train"),
-      weight_decay = p_dbl(default = 0, lower = 0, upper = 1, tags = "train"),
+      weight_decay = p_dbl(default = 0.01, lower = 0, upper = 1, tags = "train"),
       amsgrad      = p_lgl(default = FALSE, tags = "train")
     )
     TorchOptimizer$new(

tests/testthat/test_CallbackSetTB.R

@@ -10,6 +10,7 @@ test_that("autotest", {
 })
 
 test_that("metrics are logged correctly", {
+  skip_if_not_installed("tibble")
   cb = t_clbk("tb")
 
   task = tsk("iris")
@@ -44,6 +45,7 @@ test_that("metrics are logged correctly", {
 })
 
 test_that("eval_freq works", {
+  skip_if_not_installed("tibble")
   task = tsk("iris")
 
   n_epochs = 9
@@ -78,6 +80,7 @@ test_that("eval_freq works", {
 })
 
 test_that("we can disable training loss tracking", {
+  skip_if_not_installed("tibble")
   task = tsk("iris")
 
   mlp = lrn("classif.mlp",