This course has two parts:
- Machine learning with {mlr3} - an introduction
- {mlr3} - spatial modeling
Each parts comes with a presentation and hands-on part.
usethis::use_course("mlr-org/opengeohub-summer-school-2022")
This will
- Clone the repository
- Open an RStudio project
You can now either manually set the working directory to one of the hands-on directories or click on the respective .Rproj
file.
To install the required R packages for each hands-on:
- (Change into the directory (either
mlr3-basics
ormlr3-spatial
)) - Run
renv::restore()
(or follow the {renv} prompt which appears when you start R in this directory)
You can find the slides in the respective presentation/
directories.
The presentations were made with quarto
v1.2.15.
To install all required R packages, run renv::restore()
from the respective presentation/
directory.
You can find the hands-on parts in the respective hands-on/
directories.
To install all required R packages, run renv::restore()
from the respective presentation/
directory.