Machine learning

A pre-configured and fully integrated software stack with PyTorch, an open source machine learning library, and Python 2.7. It provides a stable and tested execution environment for training, inference, or running as an API service. The stack can be easily integrated into continuous integration and deployment workflows. It is designed for short and long-running high-performance tasks and optimized for running on CPU.

Constructor:

Configuration

Full settings

pytorch

Version: 0.3.0

python

Python version:  
Path to interpreter: /jet/bin/python

enter

Entry point: /jet/enter
Working directory: /jet/prs

config

Directories

Configurations: /jet/etc
Log files: /jet/log
Applications: /jet/app
Applications data: /jet/var
Temporary files: /jet/tmp
Persistent data: /jet/prs

init

Services control

Available services: cron monit orientation
Start all services: start
Stop all services: stop
Service commands: available|enabled|disabled|enable|disable|start|stop|status|restart servicename

monit

Settings

Version: 5.19.0
Main config: /jet/etc/monit/monitrc
Additional config files: /jet/etc/monit/monit.d
Logfile: /jet/log/monit/monit.log

Daemon management

Start: start monit
Stop: stop monit
Restart: restart monit
Reload: reload monit
Status: monit summary monit status

perl

perl version: v5.26.1
Path to interpreter: /jet/bin/perl