Machine learning education

The pre-configured and ready-to-use runtime environment for the Open Machine Learning Course, 2018. It includes Python 3.6, TensorFlow 1.4, Keras 2, XGBoost, LightGBM and Vowpal Wabbit. The stack also includes CUDA and cuDNN, and is optimized for running on NVidia GPU.

Configuration

Full settings

init

Services control

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

jupyter_notebook

Configuration

Jupyter version: | 4.4.0 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

keras

Version: 2.1.2

tensorflow

Version: 1.4.1

python

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

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

enter

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