A python client for openmlhub repository
Project description
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:
-
Installation:
pip install openmlhub
-
Configuration:
- Obtain your OpenMLHub API key.
- Set up your configuration file with the API key.
-
Usage:
from openmlhub import OpenMLHub client = OpenMLHubClient()
Examples
# Track a new model
model_id = client.track_model(model_name='My_Model', algorithm='Random Forest', dataset='iris')
# Validate the model
validation_result = client.validate_model(model_id)
# Retrieve model details
model_details = client.get_model_details(model_id)
Contributing
We welcome contributions to enhance the OpenMLHub Client. To contribute:
- Fork the repository.
- Create a new branch:
git checkout -b feature/your-feature
. - Commit your changes:
git commit -m 'Add your feature'
. - Push to the branch:
git push origin feature/your-feature
. - Open a pull request.
License
This project is licensed under the MIT License.
Contact
For any inquiries or support, contact us at support@openmlhubclient.com.
Happy modeling and tracking! 🚀
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