New release (#179)

DESCRIPTION

@@ -1,6 +1,6 @@
 Package: mlr3learners
 Title: Recommended Learners for 'mlr3'
-Version: 0.4.3-9000
+Version: 0.4.4
 Authors@R:
     c(person(given = "Michel",
              family = "Lang",
@@ -33,10 +33,10 @@ URL: https://mlr3learners.mlr-org.com,
     https://github.com/mlr-org/mlr3learners
 BugReports: https://github.com/mlr-org/mlr3learners/issues
 Depends:
-    R (>= 3.1.0)
+    R (>= 3.1.0),
+    mlr3 (>= 0.11.0)
 Imports:
     data.table,
-    mlr3 (>= 0.11.0),
     mlr3misc (>= 0.5.0),
     paradox,
     R6

NEWS.md

@@ -1,9 +1,9 @@
-# mlr3learners 0.4.3.9000
+# mlr3learners 0.4.4
 
 - Changed hyperparameters of all learners to make them run sequentially in their
   defaults.
-  The new function `set_threads()` provides a generic way to set the respective
-  hyperparameter to the desired number of parallel threads.
+  The new function `set_threads()` in mlr3 provides a generic way to set the
+  respective hyperparameter to the desired number of parallel threads.
 - Added `survival:aft` objective to `surv.xgboost`
 - Removed hyperparameter `predict.all` from ranger learners (#172).
 

R/bibentries.R

@@ -15,8 +15,7 @@ bibentries = c( # nolint start
     pages            = "5--32",
     doi              = "10.1023/A:1010933404324",
     issn             = "1573-0565"
-    ),
-
+  ),
   chen_2016          = bibentry("inproceedings",
     title            = "Xgboost: A scalable tree boosting system",
     author           = "Chen, Tianqi and Guestrin, Carlos",
@@ -25,7 +24,7 @@ bibentries = c( # nolint start
     pages            = "785--794",
     doi              = "10.1145/2939672.2939785",
     organization     = "ACM"
-    ),
+  ),
   cortes_1995        = bibentry("article",
     title            = "Support-vector networks",
     author           = "Cortes, Corinna and Vapnik, Vladimir",
@@ -37,7 +36,7 @@ bibentries = c( # nolint start
     number           = "3",
     pages            = "273--297",
     doi              = "10.1007/BF00994018"
-    ),
+  ),
   cover_1967         = bibentry("article",
     title            = "Nearest neighbor pattern classification",
     author           = "Cover, Thomas and Hart, Peter",
@@ -48,7 +47,7 @@ bibentries = c( # nolint start
     number           = "1",
     pages            = "21--27",
     doi              = "10.1109/TIT.1967.1053964"
-    ),
+  ),
   friedman_2010      = bibentry("article",
     title            = "Regularization Paths for Generalized Linear Models via Coordinate Descent",
     author           = "Jerome Friedman and Trevor Hastie and Robert Tibshirani",
@@ -58,25 +57,23 @@ bibentries = c( # nolint start
     number           = "1",
     pages            = "1--22",
     doi              = "10.18637/jss.v033.i01"
-    ),
+  ),
   hechenbichler_2004 = bibentry("techreport",
     title            = "Weighted k-nearest-neighbor techniques and ordinal classification",
     author           = "Hechenbichler, Klaus and Schliep, Klaus",
     year             = "2004",
     number           = "Discussion Paper 399, SFB 386",
     doi              = "10.5282/ubm/epub.1769",
     institution      = "Ludwig-Maximilians University Munich"
-    ),
-
+  ),
   ripley_1996        = bibentry("book",
     doi              = "10.1017/cbo9780511812651",
-    url              = "https://doi.org/10.1017/cbo9780511812651",
     year             = "1996",
     month            = "jan",
     publisher        = "Cambridge University Press",
     author           = "Brian D. Ripley",
     title            = "Pattern Recognition and Neural Networks"
-    ),
+  ),
   roustant_2012      = bibentry("article",
     title            = "{DiceKriging}, {DiceOptim}: Two {R} Packages for the Analysis of Computer Experiments by Kriging-Based Metamodeling and Optimization",
     author           = "Olivier Roustant and David Ginsbourger and Yves Deville",
@@ -86,7 +83,7 @@ bibentries = c( # nolint start
     number           = "1",
     pages            = "1--55",
     doi              = "10.18637/jss.v051.i01"
-    ),
+  ),
   samworth_2012      = bibentry("article",
     title            = "Optimal weighted nearest neighbour classifiers",
     author           = "Samworth, Richard J",
@@ -96,7 +93,7 @@ bibentries = c( # nolint start
     number           = "5",
     pages            = "2733--2763",
     doi              = "10.1214/12-AOS1049"
-    ),
+  ),
   venables_2002      = bibentry("book",
     title            = "Modern Applied Statistics with S",
     author           = "W. N. Venables and B. D. Ripley",
@@ -106,7 +103,7 @@ bibentries = c( # nolint start
     url              = "http://www.stats.ox.ac.uk/pub/MASS4/",
     note             = "ISBN 0-387-95457-0",
     edition          = "Fourth"
-    ),
+  ),
   wright_2017        = bibentry("article",
     title            = "{ranger}: A Fast Implementation of Random Forests for High Dimensional Data in {C++} and {R}",
     author           = "Wright, Marvin N. and Ziegler, Andreas",

inst/paramtest/test_paramtest_classif.glmnet.R

@@ -10,8 +10,8 @@ test_that("classif.glmnet", {
     "y", # handled by mlr3
     "weights", # handled by mlr3
     "nfolds", # not used by learner
-    "type.measure", # not used by learner
-    "foldid" # not used by learner
+    "foldid", # not used by learner
+    "type.measure" # only used by cv.glmnet
   )
 
   ParamTest = run_paramtest(learner, fun, exclude)

inst/paramtest/test_paramtest_regr.glmnet.R

@@ -8,8 +8,8 @@ test_that("regr.glmnet", {
     "y", # handled by mlr3
     "weights", # handled by mlr3
     "nfolds", # not used by learner
-    "type.measure", # not used by learner
-    "foldid" # not used by learner
+    "foldid", # not used by learner
+    "type.measure" # only used by cv.glmnet
   )
 
   ParamTest = run_paramtest(learner, fun, exclude)