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.

When to Use

Use this skill when:

• Creating a new Dataset class that needs @register_dataset
• Creating a new Model class that needs @register_model
• Creating a new module directory with __init__.py factory wiring
• Initializing a new ML project structure from scratch
• Adding new component types such as Augmentation, CollateFunction, or Metrics

When Not to Use