Release 0.16.0 (#924)

mlr-org · May 9, 2023 · 0189c24 · 0189c24
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diff --git a/DESCRIPTION b/DESCRIPTION
@@ -1,6 +1,6 @@
 Package: mlr3
 Title: Machine Learning in R - Next Generation
-Version: 0.15.0
+Version: 0.16.0
 Authors@R:
   c(
     person("Michel", "Lang", , "[email protected]", role = c("cre", "aut"),

diff --git a/NEWS.md b/NEWS.md
@@ -1,9 +1,11 @@
+# mlr3 0.16.0
 
-# mlr3 0.15.0-900
-
-* Added S3 method for `ResultData` for `as_resample_result()` converter.
 * Added argument `paired` to `benchmark_grid()` function, which can be used to create a benchmark design, where
   resamplings have been instantiated on tasks.
+* Added S3 method for `ResultData` for `as_resample_result()` converter.
+* Added S3 method for `list` for `as_resample_result()` converter.
+* The featureless classification learner now returns proper probabilities
+  (#918).
 
 
 # mlr3 0.15.0

diff --git a/R/LearnerClassifDebug.R b/R/LearnerClassifDebug.R
@@ -23,6 +23,7 @@
 #'    \item{warning_predict:}{Probability to signal a warning during predict.}
 #'    \item{warning_train:}{Probability to signal a warning during train.}
 #'    \item{x:}{Numeric tuning parameter. Has no effect.}
+#'    \item{iter:}{Integer parameter for testing hotstarting.}
 #' }
 #' Note that segfaults may not be triggered reliably on your operating system.
 #' Also note that if they work as intended, they will tear down your R session immediately!

diff --git a/R/worker.R b/R/worker.R
@@ -81,6 +81,7 @@ learner_train = function(learner, task, train_row_ids = NULL, test_row_ids = NUL
     param_vals = learner$param_set$values,
     task_hash = task$hash,
     data_prototype = proto,
+    task_prototype = proto,
     mlr3_version = packageVersion("mlr3")
   ))
 

diff --git a/man/mlr_learners_classif.debug.Rd b/man/mlr_learners_classif.debug.Rd