A short description of the package.
Project description
A powerful Python ML playground toolkit
What is it?
Hygia is a Python package that provides fast, flexible, and expressive data pipeline configuration through a YAML file to make working with Machine Learning data easy and intuitive. It consists of helping developers and users to register, organize, compare and share all their ML model metadata in a single place, facilitating the generation of requirements in the ETL (Extract, Transform and Load) process. Thus, the migration can be scaled, automated, and accelerated for similar contexts.
Main Features
- Configure data pipeline through a YAML file
- Execute through command line or python import
- Pack the solution into a Python's Package Manager
- Visualize results in customized dashboards
- Test on different databases
Where to get it
The source code is currently hosted on GitHub at: https://github.com/hygia-org
Installation from sources
python -m venv env
source env/bin/activate
pip install -r requirements.txt
Boilerplate
examples/hygia_boilerplate.ipynb
Testing
pytest --cov
Documentation
We used sphinx to write the documentation
To run locally, you need to install sphinx:
pip install sphinx
Then install the theme used:
pip install pydata-sphinx-theme
And Run the project
sphinx-build -b html source ./
And open the index.html
Project details
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