SherlockML environments

Want to install RStudio Server or the latest TensorFlow release candidate on your SherlockML server? You're in the right place! This repository contains custom environments which can be applied to your servers.

Adding an environment to your project

Find the environment you want to add in this repository, and copy the contents of environment.bash into a new script on the Environments tab of your project on SherlockML.

Where to paste the script

Click "SAVE" to save the environment definition. You can now apply it to any new or existing servers in your project.

Contributing an environment

Contributions are welcome! To share your custom environment with the SherlockML community, fork this repository, add a new subdirectory containing an environment.bash file that contains the script to apply the environment, and open a pull request.