Gin-Config: A lightweight configuration library for Python
Project description
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
Project details
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
Built Distribution
Hashes for gin_config-0.3.0-py3-none-any.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | e2141da0525c9275bf08f11ef7d25cdd65e415f74f77fab54227af9f5d2d8c93 |
|
MD5 | a3dc6d2e8ff13e8e85b034bd047ba56d |
|
BLAKE2b-256 | a118e8beb9462ac0c9cba169718383a7122c9f7db46e61737d3de8d13588ed90 |