Development Status
- 3 - Alpha
Intended Audience
- Developers
- Education
- Science/Research
License
- OSI Approved :: Apache Software License
Programming Language
- Python :: 2
- Python :: 2.7
- Python :: 3
- Python :: 3.5
- Python :: 3.6
- Python :: 3.7
Topic
- Scientific/Engineering
- Scientific/Engineering :: Mathematics
- Scientific/Engineering :: Artificial Intelligence
- Software Development
- Software Development :: Libraries
- Software Development :: Libraries :: Python Modules
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
