Lint and typo fix

- targets_download.R: duplicate target names
- Roxygen2 documentation typo fix in fit_base_lightgbm

R/pipeline_base_functions.R

@@ -2573,7 +2573,7 @@ fit_base_xgb <-
 # dtfitx <- fit_base_xgb(dtd, xvar = names(dtd)[6:105], r_subsample = 0.3)
 
 
-' Base learner: Light Gradient Boosting Machine (LightGBM)
+#' Base learner: Light Gradient Boosting Machine (LightGBM)
 #'
 #' LightGBM model is fitted at the defined rate (`r_subsample`) of
 #' the input dataset by grid or Bayesian optimization search.
@@ -3697,7 +3697,7 @@ restore_fit_best <-
       )
 
     # fit the entire data
-    model_fit <- fit(model_best, data = df_full)
+    model_fit <- parsnip::fit(model_best, data = df_full)
     pred <- predict(model_fit, data = df_full)
     return(pred)
 

inst/targets/targets_download.R

@@ -1,7 +1,7 @@
 target_download <-
   list(
     tarchetypes::tar_files_input(
-      name = file_prep_calc_args,
+      name = file_prep_download_args,
       files = list.files("inst/targets", pattern = "download_spec.qs$", full.names = TRUE),
       # cue = tar_invalidate(tar_older(Sys.time() - as.difftime(4, units = "weeks"))),
       format = "file",
@@ -30,9 +30,9 @@ target_download <-
       lgl_rawdir_download,
       command =
       feature_raw_download(
-        path = file_prep_calc_args,
+        path = file_prep_download_args,
         dataset_name = char_rawdir_download),
-      pattern = map(file_prep_calc_args, char_rawdir_download),
+      pattern = map(file_prep_download_args, char_rawdir_download),
       iteration = "list"
     )
   )