HAFER ML, the homemade framework for machine learning.
Project description
Hafer ML
The HomemAde FramEwoRk for Machine Learning (HAFER ML) is a minimal and unambitious framework for your machine learning projects, with reproducibility in mind.
Hafer is oat in German.
Install
pip install haferml
This will leave out many dependencies. To install all,
pip install "haferml[all]"
The extras options:
all
: everythingaws
: required if one needs AWSdocs
: required to build the docs
The Idea
The Hafer ML frameworks is very simple. It is a minimal framework that I have been applying to small projects. Hafer ML save the artifacts at every step to make it easy to reproduce. The tool we choose to make it reproducible is Docker.
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