Machine learning

A pre-configured and fully integrated software stack with TensorFlow, an open source software library for machine learning, Python 2.7, and Jupiter Notebook, a browser-based interactive notebook for programming, mathematics, and data science. The stack is designed for research and development tasks and optimized for running on NVidia GPU.

Constructor:

Configuration

Full settings

tensorflow

Version: 1.4.0

jupyter_notebook

Configuration

Jupyter version: | 4.3.0 Jupyter notebook version: | 5.1.0 Config: | /jet/etc/jupyter_notebook/jupyter_notebook_config.py Bind address: | 0.0.0.0 Address: | http://server_address:8888 Password: | empty

Daemon management

Start: | start jupyter_notebook Stop: | stop jupyter_notebook Restart: | restart jupyter_notebook

python

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

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 jupyter_notebook 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