Emily CLI Documentation
Release-v3.0.6Emily combines the powers of Python and Docker to build stable and consistent machine learning and datascience python environments. Emily is useful for large cross-team project development as well as for simply running a single jupyter notebook or python script.
Downloademily@v3.0.6See earlier versions
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$ emily environment add [options]Add an environment to your project.
$ emily environment add? Emily: Choose a project(Use arrow keys, confirm with ENTER) … > M9VHKD - my-projectAB82JD - movie-recommender · M9VHKD - my-project√ Emily: Please enter the environment name:
· staging√ Emily: Please enter a port:
· 4242? Emily: Use a GPU in this environment?(y/N) · Yes√ Emily: Please enter the number of workers:
· 8Emily: Environment "staging" added to project my-project (M9VHKD).
Created:- /my/projects/my-project/environments/staging/.emily.envCreating environments
You can add environments to a project simply with the emily environment add command:
$ emily environment add--name my-environment--project <my project>The command above creates a directory <project root>/environments/my-environment and writes a .emily.env file to it.
You can always add more files to your environment directories as long as their naming follow the *.env naming scheme.
Emily will automatically merge the .env files in an environment when running or deploying a project.