release: 0.7.0

DESCRIPTION

@@ -1,28 +1,30 @@
 Package: mlr3learners
 Title: Recommended Learners for 'mlr3'
-Version: 0.6.0.9000
+Version: 0.7.0
 Authors@R: c(
-    person("Michel", "Lang", , "[email protected]", role = c("cre", "aut"),
+    person("Michel", "Lang", , "[email protected]", role = "aut",
            comment = c(ORCID = "0000-0001-9754-0393")),
     person("Quay", "Au", , "[email protected]", role = "aut",
            comment = c(ORCID = "0000-0002-5252-8902")),
     person("Stefan", "Coors", , "[email protected]", role = "aut",
            comment = c(ORCID = "0000-0002-7465-2146")),
     person("Patrick", "Schratz", , "[email protected]", role = "aut",
-           comment = c(ORCID = "0000-0003-0748-6624"))
+           comment = c(ORCID = "0000-0003-0748-6624")),
+    person("Marc", "Becker", , "[email protected]", role = c("cre", "aut"),
+           comment = c(ORCID = "0000-0002-8115-0400"))
   )
-Description: Recommended Learners for 'mlr3'. Extends 'mlr3'
-    with interfaces to essential machine learning packages on
-    CRAN.  This includes, but is not limited to: (penalized) linear and
-    logistic regression, linear and quadratic discriminant analysis,
-    k-nearest neighbors, naive Bayes, support vector machines, and
-    gradient boosting.
+Description: Recommended Learners for 'mlr3'. Extends 'mlr3' with
+    interfaces to essential machine learning packages on CRAN.  This
+    includes, but is not limited to: (penalized) linear and logistic
+    regression, linear and quadratic discriminant analysis, k-nearest
+    neighbors, naive Bayes, support vector machines, and gradient
+    boosting.
 License: LGPL-3
 URL: https://mlr3learners.mlr-org.com,
     https://github.com/mlr-org/mlr3learners
 BugReports: https://github.com/mlr-org/mlr3learners/issues
 Depends:
-    mlr3 (>= 0.17.1),
+    mlr3 (>= 0.20.0),
     R (>= 3.1.0)
 Imports:
     checkmate,
@@ -45,8 +47,6 @@ Suggests:
     rmarkdown,
     testthat (>= 3.0.0),
     xgboost (>= 1.6.0)
-Remotes:
-    mlr-org/mlr3
 Config/testthat/edition: 3
 Encoding: UTF-8
 NeedsCompilation: no

NEWS.md

@@ -1,4 +1,4 @@
-# mlr3learners (development version)
+# mlr3learners 0.7.0
 
 * feat: `LearnerClassifXgboost` and `LearnerRegrXgboost` now support internal tuning and validation.
   This now also works in conjunction with `mlr3pipelines`.

R/LearnerClassifXgboost.R

@@ -10,7 +10,7 @@
 #' for binary classification problems and set to `"mlogloss"` for multiclass problems.
 #' This was necessary to silence a deprecation warning.
 #'
-#' Note that using the `watchlist` parameter directly will lead to problems when wrapping this [`Learner`] in a
+#' Note that using the `watchlist` parameter directly will lead to problems when wrapping this [mlr3::Learner] in a
 #' `mlr3pipelines` `GraphLearner` as the preprocessing steps will not be applied to the data in the watchlist.
 #' See the section *Early Stopping and Validation* on how to do this.
 #'

R/LearnerRegrXgboost.R

@@ -9,7 +9,7 @@
 #' To compute on GPUs, you first need to compile \CRANpkg{xgboost} yourself and link
 #' against CUDA. See \url{https://xgboost.readthedocs.io/en/stable/build.html#building-with-gpu-support}.
 #'
-#' Note that using the `watchlist` parameter directly will lead to problems when wrapping this [`Learner`] in a
+#' Note that using the `watchlist` parameter directly will lead to problems when wrapping this [mlr3::Learner] in a
 #' `mlr3pipelines` `GraphLearner` as the preprocessing steps will not be applied to the data in the watchlist.
 #' See the section *Early Stopping and Validation* on how to do this.
 #'

man-roxygen/learner.R

@@ -1,5 +1,5 @@
 #' @section Dictionary:
-#' This [Learner] can be instantiated via the [dictionary][mlr3misc::Dictionary] [mlr_learners] or with the associated sugar function [lrn()]:
+#' This [mlr3::Learner] can be instantiated via the [dictionary][mlr3misc::Dictionary] [mlr3::mlr_learners] or with the associated sugar function [mlr3::lrn()]:
 #' ```
 #' mlr_learners$get("<%= id %>")
 #' lrn("<%= id %>")

man-roxygen/seealso_learner.R

@@ -3,8 +3,8 @@
 #' * Chapter in the [mlr3book](https://mlr3book.mlr-org.com/):
 #'   \url{https://mlr3book.mlr-org.com/chapters/chapter2/data_and_basic_modeling.html#sec-learners}
 #' * Package [mlr3extralearners](https://github.com/mlr-org/mlr3extralearners) for more learners.
-#' * [Dictionary][mlr3misc::Dictionary] of [Learners][Learner]: [mlr_learners]
-#' * `as.data.table(mlr_learners)` for a table of available [Learners][Learner] in the running session (depending on the loaded packages).
+#' * [Dictionary][mlr3misc::Dictionary] of [Learners][mlr3::Learner]: [mlr3::mlr_learners]
+#' * `as.data.table(mlr_learners)` for a table of available [Learners][mlr3::Learner] in the running session (depending on the loaded packages).
 #' * \CRANpkg{mlr3pipelines} to combine learners with pre- and postprocessing steps.
 #' * Extension packages for additional task types:
 #'    * \CRANpkg{mlr3proba} for probabilistic supervised regression and survival analysis.