proximl job create notebook "name"
Get up and running with a GPU-enabled instance with as few as 5 words. With the 0.2.0 release of the proxiML python module, you can create, monitor, and remove proxiML resources directly from your terminal window. If you already have the proxiML module installed, upgrade to the latest version with:
pip install -U proximl
If you are using the proxiML module for the first time, be sure you configure authentication before continuing.
The command line interface is rooted in the proximl command. To see the available options, run:
proximl --help
To list all jobs:
proximl job list
To list all datasets:
proximl dataset list
To connect to a job that requires the connection capability:
proximl job connect <job ID or name>
To watch the realtime job logs:
proximl job attach <job ID or name>
For more details of how to use the cli to create, monitor, and remove proxiML resources, review the readme readme file on Github.
Additionally, the web downloaded version of the connection utility has been removed. The proxiML CLI is now required to use any functionaliy that requires local connection capability.