mlr-org · awinterstetter · Sep 5, 2025 · Sep 5, 2025 · Sep 5, 2025 · Sep 5, 2025
diff --git a/book/_quarto.yml b/book/_quarto.yml
@@ -40,11 +40,12 @@ book:
     - part: "Advanced Topics"
       chapters:
       - chapters/chapter10/advanced_technical_aspects_of_mlr3.qmd
-      - chapters/chapter11/large-scale_benchmarking.qmd
-      - chapters/chapter12/model_interpretation.qmd
-      - chapters/chapter13/beyond_regression_and_classification.qmd
-      - chapters/chapter14/algorithmic_fairness.qmd
-      - chapters/chapter15/predsets_valid_inttune.qmd
+      - chapters/chapter11/advanced_hyperparameter_specification_using_paradox.qmd
+      - chapters/chapter12/large-scale_benchmarking.qmd
+      - chapters/chapter13/model_interpretation.qmd
+      - chapters/chapter14/beyond_regression_and_classification.qmd
+      - chapters/chapter15/algorithmic_fairness.qmd
+      - chapters/chapter16/predsets_valid_inttune.qmd
     - chapters/references.qmd
   appendices:
       - chapters/appendices/solutions.qmd # online only

diff --git a/book/chapters/chapter11/advanced_hyperparameter_specification_using_paradox.qmd b/book/chapters/chapter11/advanced_hyperparameter_specification_using_paradox.qmd
diff --git a/...chapter11/Figures/mlr3book_figures-31.png → ...chapter12/Figures/mlr3book_figures-31.png b/...chapter11/Figures/mlr3book_figures-31.png → ...chapter12/Figures/mlr3book_figures-31.png
diff --git a/...chapter11/Figures/mlr3book_figures-31.svg → ...chapter12/Figures/mlr3book_figures-31.svg b/...chapter11/Figures/mlr3book_figures-31.svg → ...chapter12/Figures/mlr3book_figures-31.svg
diff --git a/...chapter11/Figures/mlr3book_figures-32.png → ...chapter12/Figures/mlr3book_figures-32.png b/...chapter11/Figures/mlr3book_figures-32.png → ...chapter12/Figures/mlr3book_figures-32.png
diff --git a/...chapter11/Figures/mlr3book_figures-32.svg → ...chapter12/Figures/mlr3book_figures-32.svg b/...chapter11/Figures/mlr3book_figures-32.svg → ...chapter12/Figures/mlr3book_figures-32.svg
diff --git a/...rs/chapter11/large-scale_benchmarking.qmd → ...rs/chapter12/large-scale_benchmarking.qmd b/...rs/chapter11/large-scale_benchmarking.qmd → ...rs/chapter12/large-scale_benchmarking.qmd
diff --git a/...s/chapter12/Figures/DALEX_ema_process.pdf → ...s/chapter13/Figures/DALEX_ema_process.pdf b/...s/chapter12/Figures/DALEX_ema_process.pdf → ...s/chapter13/Figures/DALEX_ema_process.pdf
diff --git a/...s/chapter12/Figures/DALEX_ema_process.png → ...s/chapter13/Figures/DALEX_ema_process.png b/...s/chapter12/Figures/DALEX_ema_process.png → ...s/chapter13/Figures/DALEX_ema_process.png
diff --git a/...ers/chapter12/Figures/counterfactuals.png → ...ers/chapter13/Figures/counterfactuals.png b/...ers/chapter12/Figures/counterfactuals.png → ...ers/chapter13/Figures/counterfactuals.png
diff --git a/...apters/chapter12/model_interpretation.qmd → ...apters/chapter13/model_interpretation.qmd b/...apters/chapter12/model_interpretation.qmd → ...apters/chapter13/model_interpretation.qmd
diff --git a/.../beyond_regression_and_classification.qmd → .../beyond_regression_and_classification.qmd b/.../beyond_regression_and_classification.qmd → .../beyond_regression_and_classification.qmd
diff --git a/...apters/chapter14/algorithmic_fairness.qmd → ...apters/chapter15/algorithmic_fairness.qmd b/...apters/chapter14/algorithmic_fairness.qmd → ...apters/chapter15/algorithmic_fairness.qmd
diff --git a/...ters/chapter15/predsets_valid_inttune.qmd → ...ters/chapter16/predsets_valid_inttune.qmd b/...ters/chapter15/predsets_valid_inttune.qmd → ...ters/chapter16/predsets_valid_inttune.qmd
diff --git a/book/chapters/chapter2/data_and_basic_modeling.qmd b/book/chapters/chapter2/data_and_basic_modeling.qmd
@@ -397,6 +397,7 @@ lrn_rpart$param_set
 ```
 
 The output above is a `r ref("ParamSet", aside = TRUE)` object, supplied by the `r ref_pkg("paradox")` package.
+A more detailed introduction of the `paradox` package is provided in @sec-paradox.
 These objects provide information on hyperparameters including their name (`id`), data type (`class`), technically valid ranges for hyperparameter values (`lower`, `upper`), the number of levels possible if the data type is categorical (`nlevels`), the default value from the underlying package (`default`), and finally the set value (`value`).
 The second column references classes defined in `r ref_pkg("paradox")` that determine the class of the parameter and the possible values it can take.
 @tbl-parameters-classes lists the possible hyperparameter types, all of which inherit from `r ref("Domain")`.

diff --git a/book/chapters/chapter4/hyperparameter_optimization.qmd b/book/chapters/chapter4/hyperparameter_optimization.qmd
@@ -72,7 +72,7 @@ These will usually be 'technical' (or 'control') parameters that *provide inform
 
 For numeric hyperparameters (we will explore others later) one must specify the bounds to tune over.
 We do this by constructing a learner and using `r ref("to_tune()")` to set the lower and upper limits for the parameters we want to tune.
-This function allows us to *mark* the hyperparameter as requiring tuning in the specified range.
+This function allows us to *mark* the hyperparameter as requiring tuning in the specified range. Further information on the `r ref("to_tune()")`-function can be found in @sec-paradox-creation-tuning-paramset-from-learner.
 
 ```{r hyperparameter_optimization-003}
 learner = lrn("classif.svm",
@@ -699,6 +699,8 @@ This function takes named arguments of class `r ref("Domain")`, which can be cre
 
 : `r ref("Domain")` Constructors and their resulting `r ref("Domain")`. {#tbl-paradox-define}
 
+More information on advanced hyperparameter specifications using the `paradox`-package will be given in @sec-paradox.
+
 As a simple example, let us look at how to create a search space to tune `cost` and `gamma` again:
 
 ```{r hyperparameter_optimization-037}

diff --git a/book/common/authors.csv b/book/common/authors.csv
@@ -17,5 +17,6 @@ Florian Pfisterer,Ludwig-Maximilians-Universität München,Pfistererf@googlemail
 Sebastian Fischer,"Ludwig-Maximilians-Universität München, and Munich Center for Machine Learning (MCML)",[email protected],0000-0002-9609-3197
 Janek Thomas,"Ludwig-Maximilians-Universität München, and Munich Center for Machine Learning (MCML), and Essential Data Science Training GmbH",[email protected],0000-0003-4511-6245
 Susanne Dandl,"Ludwig-Maximilians-Universität München, and Munich Center for Machine Learning (MCML)",[email protected],0000-0003-4324-4163
- John Zobolas,"Institute for Cancer Research, Oslo University Hospital",[email protected],0000-0002-3609-8674
+John Zobolas,"Institute for Cancer Research, Oslo University Hospital",[email protected],0000-0002-3609-8674
 Lona Koers,"Ludwig-Maximilians-Universität München",[email protected],
+Alexander Winterstetter,"Ludwig-Maximilians-Universität München",[email protected],
diff --git a/book/common/chap_auths.csv b/book/common/chap_auths.csv
@@ -9,8 +9,9 @@ Chapter Number,Title,Authors
 8,Non-sequential Pipelines and Tuning,"Martin Binder, Florian Pfisterer, Marc Becker, Marvin N. Wright"
 9,Preprocessing,Janek Thomas
 10,Advanced Technical Aspects of mlr3,"Michel Lang, Sebastian Fischer, Raphael Sonabend"
-11,Large-Scale Benchmarking,"Sebastian Fischer, Michel Lang, Marc Becker"
-12,Model Interpretation,"Susanne Dandl, Przemysław Biecek, Giuseppe Casalicchio, Marvin N. Wright"
-13,Beyond Regression and Classification,"Raphael Sonabend, Patrick Schratz, Damir Pulatov, John Zobolas, Lona Koers"
-14,Algorithmic Fairness,Florian Pfisterer
-15,"Predict Sets, Validation and Internal Tuning (+)", Sebastian Fischer
+11,Advanced Hyperparameter Specification using paradox,"Martin Binder, Sebastian Fischer, Michel Lang, Alexander Winterstetter"
+12,Large-Scale Benchmarking,"Sebastian Fischer, Michel Lang, Marc Becker"
+13,Model Interpretation,"Susanne Dandl, Przemysław Biecek, Giuseppe Casalicchio, Marvin N. Wright"
+14,Beyond Regression and Classification,"Raphael Sonabend, Patrick Schratz, Damir Pulatov, John Zobolas, Lona Koers"
+15,Algorithmic Fairness,Florian Pfisterer
+16,"Predict Sets, Validation and Internal Tuning (+)", Sebastian Fischer
diff --git a/book/index.qmd b/book/index.qmd
@@ -24,6 +24,7 @@ Bernd Bischl, Raphael Sonabend, Lars Kotthoff, Michel Lang
   - Sebastian Fischer
   - Natalie Foss
   - Lars Kotthoff
+  - Alexander Winterstetter
 :::
 
 ::: {.column width="30%"}