Emily CLI Documentation
Release-v2.0.0Emily 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.
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$ emily config [project] [environment-name] [options]View and modify the configuration of a project. To view the configuration of a project, run emily config <project>. To view the configuration of a project environment, run emily config <project> <environment name>. To change the configuration of a project environment, run emily config <project> <environment> <option> <value> where <option> is one of the options listed below, and <value> might be optional depending on the chosen <option>.
$ config my-project my-envConfiguring environment: on project: .Environment: my-env- Port: - Number of workers: - GPU: - Mounts:| - - Server: | - User: | - Host: - Server Directory: - Bash Script: Enable GPU functionality for deployment?: >> Which port do you want to use for this environment?: >> Select a server for environment| Name: server2
IP/Domain: 20.30.40.50
Status: Offline>> Please specify the location of the mounted data on the server by its absolute path.Please specify path to the data-folder for: /workspace/mounted-data: >> The number of worker processes to run in parallel: >> Successfully updated my-envRunning Emily Configure with flags
$ config my-project my-env --port 5000 --no-gpu --server server1 --workers 10 --server-directory location/on/server --run-script script.sh