gin-config

Name	gin-config JSON
Version	0.5.0 JSON
	download
home_page	https://github.com/google/gin-config
Summary	Gin-Config: A lightweight configuration library for Python
upload_time	2021-11-03 08:11:34
maintainer
docs_url	None
author	The Gin-Config Team
requires_python
license	Apache 2.0
keywords	gin-config gin python configuration machine learning
VCS
bugtrack_url
requirements	No requirements were recorded.
Travis-CI	No Travis.
coveralls test coverage	No coveralls.

            
# Gin

Gin provides a lightweight configuration framework for Python, based on
dependency injection. Functions or classes can be decorated with
`@gin.configurable`, allowing default parameter values to be supplied from a
config file (or passed via the command line) using a simple but powerful syntax.
This removes the need to define and maintain configuration objects (e.g.
protos), or write boilerplate parameter plumbing and factory code, while often
dramatically expanding a project's flexibility and configurability.

Gin is particularly well suited for machine learning experiments (e.g. using
TensorFlow), which tend to have many parameters, often nested in complex ways.


**Authors**: Dan Holtmann-Rice, Sergio Guadarrama, Nathan Silberman
**Contributors**: Oscar Ramirez, Marek Fiser



            

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