stream-ml-processor

ML Platform Template for stream ml processor

Overview

This repository contains a complete ML platform template for stream ml processor workloads.

Structure

• configs/ - Configuration files for different environments
• docker/ - Docker configurations and Dockerfiles
• infrastructure/ - Infrastructure as Code (Terraform/CloudFormation)
• src/ - Source code
• tests/ - Test suite
• notebooks/ - Jupyter notebooks for experimentation

Getting Started

1. Clone this repository
2. Install dependencies: pip install -r requirements.txt
3. Configure your environment variables
4. Run the setup scripts

Development

See the documentation in each subdirectory for specific development guidelines.

Deployment

Deployment configurations are available in the infrastructure/ directory.

Contributing

1. Fork the repository
2. Create a feature branch
3. Make your changes
4. Add tests
5. Submit a pull request

License

Copyright © 2024 Trafilea