Appendix D — Errata

This appendix lists changes to the online version of this book to chapters included in the first edition.

D.1 1. Introduction and Overview

• Added note about Docker images.

D.2 2. Data and Basic Modeling

• Replaced reference to Param with Domain.
• Added paragraph about $configure() method.

D.3 3. Evaluation and Benchmarking

• Use $encapsulate() method instead of the $encapsulate and $fallback fields.
• A section on the mlr3inferr package was added.

D.4 4. Hyperparameter Optimization

• Renamed TuningInstanceSingleCrit to TuningInstanceBatchSingleCrit.
• Renamed TuningInstanceMultiCrit to TuningInstanceBatchMultiCrit.
• Renamed Tuner to TunerBatch.
• Replaced reference to Param with Domain.
• Replace lrn("surv.coxtime") with lrn("classif.mlp").
• Added note that learner dependencies are automatically preserved when using to_tune().

D.5 5. Advanced Tuning Methods and Black Box Optimization

• Renamed TuningInstanceSingleCrit to TuningInstanceBatchSingleCrit.
• Renamed TuningInstanceMultiCrit to TuningInstanceBatchMultiCrit.
• Renamed Tuner to TunerBatch.
• Renamed OptimInstanceSingleCrit to OptimInstanceBatchSingleCrit.
• Renamed OptimInstanceMultiCrit to OptimInstanceBatchMultiCrit.
• Renamed Optimizer to OptimizerBatch.
• 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").

D.6 6. Feature Selection

• Renamed FSelectInstanceSingleCrit to FSelectInstanceBatchSingleCrit.
• Renamed FSelectInstanceMultiCrit to FSelectInstanceBatchMultiCrit.
• Renamed FeatureSelector to FeatureSelectorBatch.
• Add fsi() to the table about important functions.

D.7 8. Non-sequential Pipelines and Tuning

• Reduce the number of cores to 2 in the chunking example.
• Use $encapsulate() method instead of the $encapsulate and $fallback fields.

D.8 10. Advanced Technical Aspects of mlr3

• Use $encapsulate() method instead of the $encapsulate and $fallback fields.
• Add section on parallelization with mirai package.
• Added section on condition classes.
• Added section on base logger.

D.9 11. Large-Scale Benchmarking

• Use $encapsulate() method instead of the $encapsulate and $fallback fields.

D.10 12. Model Interpretation

• Subset task to row 127 instead of 35 for the local surrogate model.
• Add as.data.frame() to “Correctly Interpreting Shapley Values” section.

D.11 13. Beyond Regression and Classification

• Use gamma instead of gamma.mu for lrn("surv.svm")
• Substitute RCLL with ISBS measure
• Mention pipeline_responsecompositor() pipeline for changing predict types
• Use lrn("surv.xgboost.aft") instead of lrn("surv.glmnet") in “Composition” subsection