Changes in 0.1.0
Enhancements
- GaiaFlow Framework: Introduced GaiaFlow, a local MLOps framework designed
to streamline and standardize the structure of machine learning projects. - Key Features:
- Standardized Project Structure: Ensures consistent project organization for
ML workflows. - Comprehensive Examples: End-to-end ML pipeline examples provided to
demonstrate the framework’s usage. - Initial Testing & CI Setup: Basic tests and continuous integration
pipelines included, with flexibility for users to expand. - Documentation: Detailed documentation outlining the framework’s components
and how to use them effectively.
- Standardized Project Structure: Ensures consistent project organization for
- Included Tools:
- Airflow: For orchestration and workflow management.
- MLFlow: For tracking experiments and managing the ML lifecycle.
- Jupyter Lab: For interactive development and analysis.
- MinIO: For object storage compatible with S3 APIs.
- Cookiecutter: Used to generate the standardized project structure.
Full Changelog: https://github.com/bcdev/gaiaflow/commits/v0.1.0