diff --git a/DESCRIPTION b/DESCRIPTION index b3deb8fe..8c921f4f 100644 --- a/DESCRIPTION +++ b/DESCRIPTION @@ -1,6 +1,6 @@ Package: mlr3tuning Title: Hyperparameter Optimization for 'mlr3' -Version: 1.2.0.9000 +Version: 1.2.1 Authors@R: c( person("Marc", "Becker", , "marcbecker@posteo.de", role = c("cre", "aut"), comment = c(ORCID = "0000-0002-8115-0400")), @@ -29,7 +29,7 @@ Depends: paradox (>= 1.0.1), R (>= 3.1.0) Imports: - bbotk (>= 1.3.0), + bbotk (>= 1.4.0), checkmate (>= 2.0.0), data.table, lgr, diff --git a/NEWS.md b/NEWS.md index 53c00fab..a6c6de2e 100644 --- a/NEWS.md +++ b/NEWS.md @@ -1,4 +1,6 @@ -# mlr3tuning (development version) +# mlr3tuning 1.2.1 + +* refactor: Only pass `extra` to `$assign_result()`. # mlr3tuning 1.2.0 diff --git a/man/mlr_tuners_cmaes.Rd b/man/mlr_tuners_cmaes.Rd index b4b8393c..1e50c815 100644 --- a/man/mlr_tuners_cmaes.Rd +++ b/man/mlr_tuners_cmaes.Rd @@ -11,7 +11,7 @@ Hansen N (2016). } \description{ Subclass for Covariance Matrix Adaptation Evolution Strategy (CMA-ES). -Calls \code{\link[adagio:pureCMAES]{adagio::pureCMAES()}} from package \CRANpkg{adagio}. +Calls \code{\link[adagio:cmaes]{adagio::pureCMAES()}} from package \CRANpkg{adagio}. } \section{Dictionary}{ @@ -29,7 +29,7 @@ Create \code{random} start values or based on \code{center} of search space? In the latter case, it is the center of the parameters before a trafo is applied.} } -For the meaning of the control parameters, see \code{\link[adagio:pureCMAES]{adagio::pureCMAES()}}. +For the meaning of the control parameters, see \code{\link[adagio:cmaes]{adagio::pureCMAES()}}. Note that we have removed all control parameters which refer to the termination of the algorithm and where our terminators allow to obtain the same behavior. } diff --git a/tests/testthat/test_TunerBatchIrace.R b/tests/testthat/test_TunerBatchIrace.R index 0b65f922..cc40b094 100644 --- a/tests/testthat/test_TunerBatchIrace.R +++ b/tests/testthat/test_TunerBatchIrace.R @@ -1,4 +1,5 @@ skip_if_not_installed("irace") +skip_on_cran() test_that("TunerIrace", { x = capture.output({z = test_tuner("irace", term_evals = 42, real_evals = 39)})