Merge branch 'master' into fix/pkgdown

Author: sebffischer

NEWS.md

@@ -1,5 +1,11 @@
 # mlr3pipelines 0.5.0-9000
 
+
+# mlr3pipelines 0.5.0-2
+
+* Avoid unnecessarily large serializations of `ppl("robustify")` pipelines.
+* Made tests and examples compatible with mlr3 update.
+
 # mlr3pipelines 0.5.0-1
 
 * Bugfix: `PipeOpTuneThreshold` was not overloading the correct `.train` and `.predict` functions.

R/PipeOpColRoles.R

@@ -44,7 +44,7 @@
 #'
 #' task = tsk("boston_housing")
 #' pop = po("colroles", param_vals = list(
-#'   new_role = list(cmedv = "order")
+#'   new_role = list(town = c("order", "feature"))
 #' ))
 #'
 #' pop$train(list(task))

R/PipeOpFilter.R

@@ -82,6 +82,7 @@
 #' @examples
 #' library("mlr3")
 #' library("mlr3filters")
+#' \dontshow{data.table::setDTthreads(1)}
 #'
 #' # setup PipeOpFilter to keep the 5 most important
 #' # features of the spam task w.r.t. their AUC

R/PipeOpMissingIndicators.R

@@ -55,6 +55,7 @@
 #' @export
 #' @examples
 #' library("mlr3")
+#' \dontshow{data.table::setDTthreads(1)}
 #'
 #' task = tsk("pima")$select(c("insulin", "triceps"))
 #' sum(complete.cases(task$data()))

R/PipeOpTuneThreshold.R

@@ -116,6 +116,7 @@ PipeOpTuneThreshold = R6Class("PipeOpTuneThreshold",
     .optimize_objfun = function(pred) {
       optimizer = self$param_set$values$optimizer
       if (inherits(optimizer, "character")) optimizer = bbotk::opt(optimizer)
+      if (inherits(optimizer, "OptimizerGenSA")) optimizer$param_set$values$trace.mat = TRUE  # https://github.com/mlr-org/bbotk/issues/214
       ps = private$.make_param_set(pred)
       measure = self$param_set$values$measure
       if (is.character(measure)) measure = msr(measure) else measure

README.Rmd

@@ -68,9 +68,10 @@ Single computational steps can be represented as so-called **PipeOps**, which ca
 
 ## Documentation
 
-The easiest way to get started is reading some of the vignettes that are shipped with the package, which can also be viewed online:
+A good way to get into `mlr3pipelines` are the following two vignettes:
 
-* [Quick Introduction](https://mlr3book.mlr-org.com/pipelines.html), with short examples to get started
+* [Sequential Pipelines](https://mlr3book.mlr-org.com/chapters/chapter7/sequential_pipelines.html)
+* [Non-Sequential Pipelines and Tuning](https://mlr3book.mlr-org.com/chapters/chapter8/non-sequential_pipelines_and_tuning.html)
 
 ## Bugs, Questions, Feedback
 

README.md

@@ -81,11 +81,10 @@ are:
 
 ## Documentation
 
-The easiest way to get started is reading some of the vignettes that are
-shipped with the package, which can also be viewed online:
+A good way to get into `mlr3pipelines` are the following two vignettes:
 
-  - [Quick Introduction](https://mlr3book.mlr-org.com/pipelines.html),
-    with short examples to get started
+  - [Sequential Pipelines](https://mlr3book.mlr-org.com/chapters/chapter7/sequential_pipelines.html)
+  - [Non-Sequential Pipelines and Tuning](https://mlr3book.mlr-org.com/chapters/chapter8/non-sequential_pipelines_and_tuning.html)
 
 ## Bugs, Questions, Feedback