shag

Name	shag JSON
Version	0.1.1 JSON
	download
home_page	https://github.com/san-soucie/shag
Summary	Implementation of spatial hashing approximate Gaussian processes.
upload_time	2023-04-07 18:36:50
maintainer
docs_url	None
author	John San Soucie
requires_python	>=3.6.2,<4.0
license	MIT
keywords
VCS
bugtrack_url
requirements	No requirements were recorded.
Travis-CI	No Travis.
coveralls test coverage	No coveralls.

            # Spatial Hashing Approximate Gaussian Processes


[![pypi](https://img.shields.io/pypi/v/shag.svg)](https://pypi.org/project/shag/)
[![python](https://img.shields.io/pypi/pyversions/shag.svg)](https://pypi.org/project/shag/)
[![Build Status](https://github.com/san-soucie/shag/actions/workflows/dev.yml/badge.svg)](https://github.com/san-soucie/shag/actions/workflows/dev.yml)
[![codecov](https://codecov.io/gh/san-soucie/shag/branch/main/graphs/badge.svg)](https://codecov.io/github/san-soucie/shag)



Implementation of spatial hashing approximate Gaussian processes


* Documentation: <https://san-soucie.github.io/shag>
* GitHub: <https://github.com/san-soucie/shag>
* PyPI: <https://pypi.org/project/shag/>
* Free software: MIT


## Features

* TODO

## Credits

This package was created with [Cookiecutter](https://github.com/audreyr/cookiecutter) and the [waynerv/cookiecutter-pypackage](https://github.com/waynerv/cookiecutter-pypackage) project template.


            

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