fix learner in bayesian optimization (#888)

be-marc · web-flow · commit 6420a5022881 · 2025-07-28T10:13:44.000+02:00
* fix learner in bayesian optimization

* ...
diff --git a/book/chapters/appendices/errata.qmd b/book/chapters/appendices/errata.qmd
@@ -37,6 +37,7 @@ This appendix lists changes to the online version of this book to chapters inclu
 * Replaced `OptimInstanceSingleCrit$new()` with `oi()`.
 * Add `oi()` to the table about important functions.
 * Use `$encapsulate()` method instead of the `$encapsulate` and `$fallback` fields.
+* In example 5.4.4 `lrn("svm")` was tuned instead of `lrn("rpart")`.
 
 ## 6. Feature Selection
 
diff --git a/book/chapters/chapter5/advanced_tuning_methods_and_black_box_optimization.qmd b/book/chapters/chapter5/advanced_tuning_methods_and_black_box_optimization.qmd
@@ -936,7 +936,7 @@ lrn_rpart = lrn("classif.rpart",
   maxdepth = to_tune(1, 30)
 )
 
-instance = tune(tuner, tsk("sonar"), lrn_svm, rsmp("cv", folds = 3),
+instance = tune(tuner, tsk("sonar"), lrn_rpart, rsmp("cv", folds = 3),
   msrs(c("classif.tpr", "classif.fpr")), 25)
 ```
 

Original file line number	Diff line number	Diff line change
`@@ -936,7 +936,7 @@ lrn_rpart = lrn("classif.rpart",`
`936`	`936`	`maxdepth = to_tune(1, 30)`
`937`	`937`	`)`
`938`	`938`
`939`		`-instance = tune(tuner, tsk("sonar"), lrn_svm, rsmp("cv", folds = 3),`
	`939`	`+instance = tune(tuner, tsk("sonar"), lrn_rpart, rsmp("cv", folds = 3),`
`940`	`940`	`msrs(c("classif.tpr", "classif.fpr")), 25)`
`941`	`941`	```
`942`	`942`