Emily CLI Documentation
Release-v2.0.1Emily 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@v2.0.1
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$ emily mount <project> [options]
Mount data to Emily on your system.
$ mount my-project
Please specify path to the local drive you wish to mount: >>
Mount path was added to the project
Running Emily Mount
To mount a data folder to your emily project run emily mount my-project
where the my-project can be a project ID, name or path. You will be then prompted to specify source path to the data folder your would like to mount.
You can use the
--target
flag to modify the target directory in the container. Default is /workspace/<source>
.$ mount my-project
$ mount my-project
--source ../my-local-directory
$ mount my-project
--source ../my-source-directory
--target /workspace/my-target-directory