Architecture

This page describes the internal architecture of LMD4MLTraining.jl.

Overview

The package is organized into the following components:

• Training backend (Flux integration)
• Quantities (metrics computed during training)
• Visualization (Makie-based dashboard)
• Session management

Module structure

• quantities/: defines the AbstractQuantity interface and specific metrics (loss, gradients, etc.)
• instruments/: contains the renderer and dashboard for live visualization.
• learner.jl: provides the Learner abstraction and the training loop integrations.

This modular design allows new quantities and visual instruments to be added without modifying the core training logic.