This template environment can be used to create custom R notebook environments.
This environment has been built for R and includes commonly used OSS machine learning and data science R packages. For specific version information, see requirements.
- Update setup-common to add your custom libraries supported by R.
- From the terminal, run
tar -czvf r_notebook_dropin.tar.gz -C /path/to/public_dropin_notebook_environments/r_notebook/ .
- Using either the API or from the UI create a new Custom Environment with the tarball created in step 2.
Upon successful build, the custom environment can be used in notebooks, by selecting it
from ENVIRONMENT
settings > Image
in the notebook sidebar.