Machine learning

A pre-configured and fully integrated software stack with MXNet, an open-source deep learning framework, and Python 3.6. 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 NVidia GPU.

Constructor:

Configuration

Full settings

python

Python version: Python 3.6.3
Path to interpreter: /jet/bin/python

mxnet

Version: 1.0.0

enter

Working directory: /jet/prs

perl

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

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