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Repository to build the free, online version of Applied Machine Learning Using mlr3 in R using quarto.
You can buy a print copy of the book here - all profits from the book will go to the mlr organisation to support future maintenance and development of the mlr universe.
Read the book
You can read the rendered version of the book in either:
Pull the docker image docker pull mlrorgdocker/mlr3-book.
Preview the book with
docker run -v $(pwd):/book \
--rm \
-p 8888:8888 \
mlrorgdocker/mlr3-book quarto preview book/book --port 8888 --host 0.0.0.0 --no-browser
This command mounts your current directory into the docker container, allowing quarto to render the book and serve it on port 8888.
Access the preview at https://0.0.0.0:8888.
Make your changes locally and preview them with the above command.
Once you are happy with your changes, open a pull request.
The pull request will include a preview of your changes
If your changes require new packages, install them in the docker image using the remotes package.
You can add these command temporary at the beginning of the new chapter.
Once the pull request is accepted, add the new packages to the mlr3-book dockerfile at https://github.com/mlr-org/mlr3docker and remove the installation with remotes.
Contributing to the book
If you are making changes to the book please note the following:
Where possible, figures in the HTML book should be svgs and figures in the PDF should be pdf. These should be included with knitr::include_graphics() or ideally with include_multi_graphics().
When (non-trivial) changes and corrections are made to chapters that are are included in the first published edition of this book, these changes should be documented in the Errata appendix.
When adding new chapters to the book not present in the published version, these should be marked as Online Only in their title.
For such newly added chapters that are in early stages and have not been rigorously edited and reviewed, these should be additionally marked as being a Draft.
About
Online version of Bischl, B., Sonabend, R., Kotthoff, L., & Lang, M. (Eds.). (2024). "Applied Machine Learning Using mlr3 in R". CRC Press.