The purpose of this module is simply to simplify ML learning and use best practices while developing ML models.
Standardization: The fundaml project is an attempt to standardize the way ML projects are structured within a team or organization, promoting best practices for organization, testing, and documentation.
Flexibility: fundaml is designed with flexibility in mind. Users can likely use different parts of the codebase as needed, and extend or modify components to suit their specific requirements.
Extensibility: fundaml could be used as a starting point for building more complex, domain-specific machine learning libraries. The name fundaml itself is intended to be a "base" or foundation upon which other things can be built.
$ pip install fundaml
from Pypi repo
Please visit DEVELOPERS.md to set the module for contribution
See docs
Interested in contributing? Check out the contributing guidelines. Please note that this project is released with a Code of Conduct. By contributing to this project, you agree to abide by its terms.
fundaml
is licensed under the terms of the MIT license.
fundaml
was created with cookiecutter
and the py-pkgs-cookiecutter
template.