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 software stack is optimized for running on CPU.
| 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 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
Start: | start jupyter_notebook Stop: | stop jupyter_notebook Restart: | restart jupyter_notebook
| Version: | 2.1.2 |
| Version: | 1.5.0 |
| Python version: | Python 3.6.3 |
| Path to interpreter: | /jet/bin/python |
| perl version: | v5.26.1 |
| Path to interpreter: | /jet/bin/perl |
| Configurations: | /jet/etc |
| Log files: | /jet/log |
| Applications: | /jet/app |
| Applications data: | /jet/var |
| Temporary files: | /jet/tmp |
| Persistent data: | /jet/prs |
| Entry point: | /jet/enter |
| Working directory: | /jet/prs/workspace |
