https://github.com/bcdev/gaiaflow-cookiecutter - v1.0.0

What's Changed

• Improve gaiaflow cookiecutter by @b-yogesh in https://github.com/bcdev/gaiaflow-cookiecutter/pull/5
• Prepare release v1.0.0 by @b-yogesh in https://github.com/bcdev/gaiaflow-cookiecutter/pull/6

Full Changelog: https://github.com/bcdev/gaiaflow-cookiecutter/compare/v0.3.0...v1.0.0

- Python
Published by b-yogesh 11 months ago

https://github.com/bcdev/gaiaflow-cookiecutter - v0.3.0

What's Changed

• Upgrade to Airflow 3.0 by @b-yogesh in https://github.com/bcdev/gaiaflow/pull/3
• Prepare for v0.3.0 release by @b-yogesh in https://github.com/bcdev/gaiaflow/pull/4

Full Changelog: https://github.com/bcdev/gaiaflow/compare/v0.2.0...v0.3.0

- Python
Published by b-yogesh about 1 year ago

https://github.com/bcdev/gaiaflow-cookiecutter - v0.2.0

What's Changed

• Improvements by @b-yogesh in https://github.com/bcdev/gaiaflow/pull/2

Full Changelog: https://github.com/bcdev/gaiaflow/compare/v0.1.2...v0.2.0

- Python
Published by b-yogesh about 1 year ago

https://github.com/bcdev/gaiaflow-cookiecutter - v0.1.2

Changes in 0.1.2

Fixes

• Fixed failing project creation due to missing dependency.

Full Changelog: https://github.com/bcdev/gaiaflow/compare/v0.1.1...v0.1.2

- Python
Published by b-yogesh about 1 year ago

https://github.com/bcdev/gaiaflow-cookiecutter - v0.1.1

Changes in 0.1.1

Enhancements

• Added publish.yml for publishing the package to PyPi for generated projects.
• Improved documentation in MLOps.md

Fixes

• Fixed Github workflow bugs.
• Fixed issue with quotations in f-strings causing test failure.

Full Changelog: https://github.com/bcdev/gaiaflow/compare/v0.1.0...v0.1.1

- Python
Published by b-yogesh about 1 year ago

https://github.com/bcdev/gaiaflow-cookiecutter - v0.1.0

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.
• 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

- Python
Published by b-yogesh over 1 year ago