openmlhub 0.2.1

A python client for openmlhub repository

OpenMLHub: Machine Learning Model Tracking and Validation

Overview

Welcome to the OpenMLHub Client – your go-to solution for tracking and validating machine learning models for scientific research. This project facilitates seamless integration with OpenMLHub, enabling you to manage and assess your models efficiently.

Features

• Model Tracking: Easily track the performance of your machine learning models over time.
• Validation Support: Streamline the validation process for scientific research purposes.
• OpenMLHub Integration: Connect and collaborate with the OpenMLHub community effortlessly.
• User-Friendly Interface: Intuitive design for a smooth user experience.
• Scalable Architecture: Built for scalability to accommodate various project sizes.

Getting Started

Follow these steps to get started with the OpenMLHub Client:

1. Installation:

   pip install openmlhub
   

2. Configuration:

   • Obtain your OpenMLHub API key.
   • Set up your configuration file with the API key.

3. Usage:

   import os
   from openmlhub import make_logger
   from openmlhub.config import OpenMLHubConf('<user_id>', 'api_key')
   
   api_key = os.environ['OPENMLHUB_API_KEY']
   logger = make_logger(OpenMLHubConf('<user_id>', api_key), '<model_id>')
   logger.log()
   

Examples

TBC

Contributing

We welcome contributions to enhance the OpenMLHub Client. To contribute:

1. Fork the repository.
2. Create a new branch: git checkout -b feature/your-feature.
3. Commit your changes: git commit -m 'Add your feature'.
4. Push to the branch: git push origin feature/your-feature.
5. Open a pull request.

License

This project is licensed under the MIT License.

Contact

For any inquiries or support, contact us at [e-mail].

Happy modeling and tracking! 🚀