Architecture Design - ML Project Template

This skill defines the standard code architecture for machine learning projects based on the template structure. When modifying or extending code, follow these patterns to maintain consistency.

Overview

The project follows a modular, extensible architecture with clear separation of concerns. Each module (data, model, trainer, analysis) is independently organized using factory and registry patterns for maximum flexibility.

Core Design Patterns

Factory Pattern

Each module uses a factory to create instances dynamically:

# Example from data_module/dataset/__init__.py
DATASET_FACTORY: Dict = {}