From 4bbf9caa0c2e98a7e4eabc00454ced06e79cae61 Mon Sep 17 00:00:00 2001
From: Marc Becker <33069354+be-marc@users.noreply.github.com>
Date: Sat, 23 Nov 2024 10:52:40 +0100
Subject: [PATCH] release: 0.5.2 (#55)

* release: 0.5.2

* release: 0.5.2
---
 DESCRIPTION |  2 +-
 NEWS.md     |  2 +-
 README.Rmd  |  4 ----
 README.md   | 25 +++++++++----------------
 4 files changed, 11 insertions(+), 22 deletions(-)

diff --git a/DESCRIPTION b/DESCRIPTION
index 422189d..b653903 100644
--- a/DESCRIPTION
+++ b/DESCRIPTION
@@ -1,6 +1,6 @@
 Package: mlr3tuningspaces
 Title: Search Spaces for 'mlr3'
-Version: 0.5.1.9000
+Version: 0.5.2
 Authors@R: c(
     person("Marc", "Becker", , "marcbecker@posteo.de", role = c("cre", "aut"),
            comment = c(ORCID = "0000-0002-8115-0400")),
diff --git a/NEWS.md b/NEWS.md
index 666936c..21e2470 100644
--- a/NEWS.md
+++ b/NEWS.md
@@ -1,4 +1,4 @@
-# mlr3tuningspaces (development version)
+# mlr3tuningspaces 0.5.2
 
 * compatibility: mlr3learners 0.9.0
 
diff --git a/README.Rmd b/README.Rmd
index 0817aa5..591bcea 100644
--- a/README.Rmd
+++ b/README.Rmd
@@ -66,10 +66,6 @@ There are several sections about hyperparameter optimization in the [mlr3book](h
 * Getting started with the [book](https://mlr3book.mlr-org.com/chapters/chapter4/hyperparameter_optimization.html#sec-tuning-spaces) section on mlr3tuningspaces.
 * Learn about [search space](https://mlr3book.mlr-org.com/chapters/chapter4/hyperparameter_optimization.html#sec-learner-search-space).
 
-The [gallery](https://mlr-org.com/gallery-all-optimization.html) features a collection of case studies and demos about optimization.
-
-* [Tune](https://mlr-org.com/gallery/optimization/2021-07-06-introduction-to-mlr3tuningspaces/) a classification tree with the default tuning space from @bischl_2021.
-
 ## Installation
 
 Install the last release from CRAN:
diff --git a/README.md b/README.md
index 55cf325..da01a3f 100644
--- a/README.md
+++ b/README.md
@@ -46,18 +46,11 @@ publications.
 There are several sections about hyperparameter optimization in the
 [mlr3book](https://mlr3book.mlr-org.com).
 
--   Getting started with the
-    [book](https://mlr3book.mlr-org.com/chapters/chapter4/hyperparameter_optimization.html#sec-tuning-spaces)
-    section on mlr3tuningspaces.
--   Learn about [search
-    space](https://mlr3book.mlr-org.com/chapters/chapter4/hyperparameter_optimization.html#sec-learner-search-space).
-
-The [gallery](https://mlr-org.com/gallery-all-optimization.html)
-features a collection of case studies and demos about optimization.
-
--   [Tune](https://mlr-org.com/gallery/optimization/2021-07-06-introduction-to-mlr3tuningspaces/)
-    a classification tree with the default tuning space from Bischl et
-    al. (2023).
+- Getting started with the
+  [book](https://mlr3book.mlr-org.com/chapters/chapter4/hyperparameter_optimization.html#sec-tuning-spaces)
+  section on mlr3tuningspaces.
+- Learn about [search
+  space](https://mlr3book.mlr-org.com/chapters/chapter4/hyperparameter_optimization.html#sec-learner-search-space).
 
 ## Installation
 
@@ -122,10 +115,10 @@ tuning_space
 
     ## <TuningSpace:classif.rpart.rbv2>: Classification Rpart with RandomBot
     ##           id lower upper levels logscale
-    ## 1:        cp 1e-04     1            TRUE
-    ## 2:  maxdepth 1e+00    30           FALSE
-    ## 3: minbucket 1e+00   100           FALSE
-    ## 4:  minsplit 1e+00   100           FALSE
+    ## 1:        cp 1e-04     1 [NULL]     TRUE
+    ## 2:  maxdepth 1e+00    30 [NULL]    FALSE
+    ## 3: minbucket 1e+00   100 [NULL]    FALSE
+    ## 4:  minsplit 1e+00   100 [NULL]    FALSE
 
 Get the learner with tuning space.