Metadata-Version: 2.1
Name: ray-quickstart
Version: 0.1.2
Summary: Starter ML project that allows you to develop on your Mac or PC computer and train using your remote GPU server
Author-email: Tuyen Truong <tuyen.truong@gmail.com>
Project-URL: Homepage, https://github.com/tuyentruong/ray_quickstart
Project-URL: Bug Tracker, https://github.com/tuyentruong/ray_quickstart/issues
Classifier: Development Status :: 3 - Alpha
Classifier: Intended Audience :: Developers
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Classifier: Programming Language :: Python :: 3
Requires-Python: >=3.7
Description-Content-Type: text/markdown
License-File: LICENSE.txt
Requires-Dist: ray

Allows you to quickly configure your machine-learning project to use [Ray](https://github.com/ray-project/ray) for 
distributed training and tuning of your ML models on a GPU-enabled remote computer.

## Setup
1. Create a YAML configuration file named `ray_config.yaml` in the root directory of your project.
1. Ray QuickStart expects a configuration file named `ray_config.yaml` to be present in the root directory of your project.
