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* User now only needs to copy url to get to notebook * Fixed duplicate code * Added function to print url * Added exception for calling function on worker * Stored webui url in Redis * Fix linting and simplify code. * Now uses 24 bytes hex token * Fixed python 3 compatibility * Fix linting and python 3 compat * Added comment explaining generating the token. * Removed newline * Small fixes. * Fixed jenkins failure * Rebased and changed formatting * Revert "changed formatting" This reverts commit 226510cf0cdcaab9cf42ad30bd9588a963683592.
Implement object table notification subscriptions and switch to using Redis modules for object table. (#134)
Ray
===
.. image:: https://travis-ci.org/ray-project/ray.svg?branch=master
:target: https://travis-ci.org/ray-project/ray
.. image:: https://readthedocs.org/projects/ray/badge/?version=latest
:target: http://ray.readthedocs.io/en/latest/?badge=latest
|
Ray is a flexible, high-performance distributed execution framework.
Installation
------------
- Ray can be installed on Linux and Mac with ``pip install ray``.
- To build Ray from source, see the instructions for `Ubuntu`_ and `Mac`_.
.. _`Ubuntu`: http://ray.readthedocs.io/en/latest/install-on-ubuntu.html
.. _`Mac`: http://ray.readthedocs.io/en/latest/install-on-macosx.html
More Information
----------------
- `Documentation`_
- `Blog`_
- `HotOS paper`_
.. _`Documentation`: http://ray.readthedocs.io/en/latest/index.html
.. _`Blog`: https://ray-project.github.io/ray/
.. _`HotOS paper`: https://arxiv.org/abs/1703.03924
Description
An open source framework that provides a simple, universal API for building distributed applications. Ray is packaged with RLlib, a scalable reinforcement learning library, and Tune, a scalable hyperparameter tuning library.
Languages
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