ml-extra 0.2.0

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ML-EXTRA

Developed with the software and tools below.

Table of Contents

• Overview
• Dependencies
• Installation
  • Usage
  • Tests
• Contributing
• License
• Acknowledgments

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Overview

ML-EXTRA is a project that aims to facilitate the development of Machine Learning models. Currently, the additional features provided by this package are MLflow-oriented. However, the tool may expand in the future and consider other frameworks. The core of this package is to provide a set of decorators that allow tracking different artifacts in a given experiment.

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Dependencies

• python = "^3.11"
• mlflow = "^2.12.1"
• dill = "^0.3.8"
• pytest = "^8.2.0"
• coverage = "^7.5.3"
• setuptools = "^70.0.0"

Installation

pip -U install ml-extra

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🤝 Contributing

Contributions are welcome! Here are several ways you can contribute:

• Report Issues: Submit bugs found or log feature requests for the readme-ai project.
• Submit Pull Requests: Review open PRs, and submit your own PRs.
• Join the Discussions: Share your insights, provide feedback, or ask questions.

Contributing Guidelines

1. Fork the Repository: Start by forking the project repository to your github account.
2. Clone Locally: Clone the forked repository to your local machine using a git client.

   git clone https://github.com/eli64s/readme-ai
   

3. Create a New Branch: Always work on a new branch, giving it a descriptive name.

   git checkout -b new-feature-x
   

4. Make Your Changes: Develop and test your changes locally.
5. Commit Your Changes: Commit with a clear message describing your updates.

   git commit -m 'Implemented new feature x.'
   

6. Push to github: Push the changes to your forked repository.

   git push origin new-feature-x
   

7. Submit a Pull Request: Create a PR against the original project repository. Clearly describe the changes and their motivations.
8. Review: Once your PR is reviewed and approved, it will be merged into the main branch. Congratulations on your contribution!

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📄 License

This project is protected under the SELECT-A-LICENSE License. For more details, refer to the LICENSE file.

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👏 Acknowledgments

• List any resources, contributors, inspiration, etc. here.

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