Do not run examples

Author: be-marc

R/FSelector.R

@@ -62,15 +62,15 @@
 #'
 #' # swap this line to use a different FSelector
 #' fselector = fs("random_search")
-#'
+#' \donttest{
 #' # modifies the instance by reference
 #' fselector$optimize(instance)
 #'
 #' # returns best feature subset and best performance
 #' instance$result
 #'
 #' # allows access of data.table / benchmark result of full path of all evaluations
-#' instance$archive
+#' instance$archive}
 FSelector = R6Class("FSelector",
   public = list(
 

R/FSelectorDesignPoints.R

@@ -36,15 +36,15 @@
 #'   Sepal.Width = c(FALSE, TRUE))
 #'
 #' fselector = fs("design_points", design = design)
-#'
+#' \donttest{
 #' # Modifies the instance by reference
 #' fselector$optimize(instance)
 #'
 #' # Returns best scoring evaluation
 #' instance$result
 #'
 #' # Allows access of data.table of full path of all evaluations
-#' instance$archive$data()
+#' instance$archive$data()}
 FSelectorDesignPoints = R6Class("FSelectorDesignPoints",
   inherit = FSelectorFromOptimizer,
   public = list(

R/FSelectorGeneticSearch.R

@@ -37,15 +37,15 @@
 #' )
 #'
 #' fselector = fs("genetic_search", popSize = 10L)
-#'
+#' \donttest{
 #' # Modifies the instance by reference
 #' fselector$optimize(instance)
 #'
 #' # Returns best scoring evaluation
 #' instance$result
 #'
 #' # Allows access of data.table of full path of all evaluations
-#' instance$archive$data()
+#' instance$archive$data()}
 FSelectorGeneticSearch = R6Class("FSelectorGeneticSearch",
   inherit = FSelector,
   public = list(

R/FSelectorRFE.R

@@ -44,15 +44,15 @@
 #' )
 #'
 #' fselector = fs("rfe")
-#' 
+#' \donttest{
 #' # Modifies the instance by reference
 #' fselector$optimize(instance)
 #' 
 #' # Returns best scoring evaluation
 #' instance$result
 #' 
 #' # Allows access of data.table of full path of all evaluations
-#' instance$archive$data()
+#' instance$archive$data()}
 FSelectorRFE = R6Class("FSelectorRFE",
   inherit = FSelector,
   public = list(

man-roxygen/example.R

@@ -1,7 +1,7 @@
 #' @examples
 #' library(mlr3)
 #'
-#' terminator = trm("evals", n_evals = 1)
+#' terminator = trm("evals", n_evals = 5)
 #'
 #' instance = FSelectInstanceSingleCrit$new(
 #'   task = tsk("iris"),
@@ -12,12 +12,12 @@
 #' )
 #'
 #' fselector = fs("<%= id %>")
-#'
+#' \donttest{
 #' # Modifies the instance by reference
 #' fselector$optimize(instance)
 #'
 #' # Returns best scoring evaluation
 #' instance$result
 #'
 #' # Allows access of data.table of full path of all evaluations
-#' instance$archive$data()
+#' instance$archive$data()}