docker-jobber 0.3.9

A command line interface (CLI) application for managing machine learning workflows using Docker

Docker Jobber

Docker Jobber (jobber) is a command line interface (CLI) application for managing machine learning workflows using Docker.

Please see the homepage for documentation and examples

Installation

You'll need Docker of course, then install the jobber command using pip (Docker Jobber requires Python3):

pip install docker-jobber

Version History

0.3.9 (2019-04-09)

• Credentials
• Merge all config files on directory path
• Fixed: successful build pushes to defined registries
• Default registry configuration name changed to 'default-registry'

0.3.8 (2019-04-09)

• Really fix PyYAML security hole

0.3.7 (2019-04-09)

• Fix PyYAML security hole

0.3.6 (2019-04-09)

• Initial release