Emily CLI Documentation

Release-v3.0.3

Emily 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.

Download emily@v3.0.3
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$ emily deployment add [options]

Add a deployment specification to your project.

$ deployment add

Choose a project

| AB82JD - movie-recommender
>>

Please enter a deployment name: >>

Please select a configuration

| + Add new configuration
>>

Please select an environment

| + Add new environment
>>

Please select the type of deployment to create a specification for
| Local - deploy on your local system

| Kubernetes - deploy to a Kubernetes cluster
>>


Adding Emily Deployment Specifications

Run emily deployment add to add a deployment specification to your project. The user is prompted to select a specific deployment type - see the documentation for each subcommand for comprehensive descriptions of each.

    Options

  • -h,--help

    Display help for command

  • -n,--name<name>

    The name of the deployment specification.

  • -c,--configuration<name>

    Default configuration to use in this deployment.

  • -e,--environment<name>

    Default environment to use in this deployment.

  • -p,--project<project>

    The project to manage deployment specifications for.

  • -s,--silent

    Execute Emily silently. (default: false)

  • -u,--update(--no-update)

    Prompt for update if newer version found. (default: true)

  • -vb,--verbose

    Print detailed information while running commands.