Metadata-Version: 2.1
Name: mloq
Version: 0.0.3
Summary: Package for initializing ML projects following ML Ops best practices.
Home-page: https://github.com/FragileTech/ml-ops-quickstart
Author: Guillem Duran Ballester
Author-email: guillem@fragile.tech
License: MIT
Download-URL: https://github.com/FragileTech/ml-ops-quickstart.git
Keywords: Machine learning,artificial intelligence
Platform: UNKNOWN
Classifier: Development Status :: 3 - Alpha
Classifier: Environment :: Console
Classifier: Intended Audience :: Developers
Classifier: License :: OSI Approved :: MIT License
Classifier: Programming Language :: Python :: 3.6
Classifier: Programming Language :: Python :: 3.7
Classifier: Programming Language :: Python :: 3.8
Classifier: Programming Language :: Python :: 3.9
Classifier: Programming Language :: Python :: 3 :: Only
Classifier: Topic :: Software Development :: Libraries
Description-Content-Type: text/markdown
Requires-Dist: ruyaml (<0.20.0,>=0.19.0)
Requires-Dist: jinja2 (>=2.0.0)
Requires-Dist: click (<8.0.0,>=7.1.2)
Requires-Dist: invoke (>=1.4.1)

# ML Ops Quickstart
[![Code coverage](https://codecov.io/github/fragiletech/mloq/coverage.svg)](https://codecov.io/github/fragiletech/mloq)
[![PyPI package](https://badgen.net/pypi/v/mloq)](https://pypi.org/project/mloq/)
[![Latest docker image](https://badgen.net/docker/pulls/fragiletech/mloq)](https://hub.docker.com/r/fragiletech/mloq/tags)
[![Code style: black](https://img.shields.io/badge/code%20style-black-000000.svg)](https://github.com/ambv/black)
[![license: MIT](https://img.shields.io/badge/license-MIT-green.svg)](https://opensource.org/licenses/MIT)

Package for initializing ML projects following ML Ops best practices.


