Release v1.0.0

Repository Structure:

• Dockerfile: Configuration file for creating a Docker container.
• docker-entrypoint.sh: Entry script for the Docker container.
• docker-compose.yml: Configuration file to define and run multi-container Docker applications.
• LICENSE: Project's license.
• README.md: (You're here!) Provides a high-level overview of the repository.
• corelib: The backbone of our system.
  • config: System-wide configurations.
  • data_repositories: Data interfaces and implementations.
  • data_schemas: Data validation and schema-related utilities.
  • domain: Core business logic, feature transformations, and domain-related utilities.
  • entrypoints: Exposes the API of our application.
  • ml: All things related to machine learning, e.g., Algorithms, metrics, transformers and more.
  • services: Houses core service logic for predictions.
  • utils: Utility scripts for logging, caching, and more.
• train.py: Script for training the models.
• log: Contains log files.
• poetry.lock & pyproject.toml: Poetry configuration and lock files for package management.
• pytest.ini: Configuration file for pytest.
• tests: Contains unit and deployment tests for the project.