# Model Ops Training -- Technical Specification

**Version**: v1.0.0 | **Status**: Active | **Last Updated**: March 2026

## Overview

Placeholder submodule reserved for training loops, callback hooks, and training utilities for the model operations pipeline. Currently contains no implementation beyond the package marker.

## Architecture

Designed as a future extension point for model training workflows. When implemented, this submodule would provide training loop abstractions, early stopping, learning rate scheduling, checkpoint management, and callback hooks for metrics logging.

## Current State

- `__init__.py` exports an empty `__all__` list.
- No concrete training classes or functions are implemented.

## Planned Interface

When training utilities are added, they should follow this contract:

| Class / Function | Description |
|-----------------|-------------|
| `TrainingLoop` | Configurable training loop with epoch/batch iteration, loss computation, and gradient steps |
| `EarlyStopCallback` | Callback monitoring a metric and halting training when improvement stalls |
| `CheckpointCallback` | Callback saving model state at configurable intervals |
| `MetricsLogger` | Training metrics collection and reporting |

## Dependencies

- **Internal**: `model_ops.evaluation` (for validation metrics), `model_ops.registry` (for model storage)
- **External**: None currently

## Constraints

- Training loops must support both synchronous and async execution patterns.
- Callbacks must be composable and ordered by priority.
- Zero-mock: real model operations only, `NotImplementedError` for unimplemented paths.

## Error Handling

- Unimplemented training methods must raise `NotImplementedError`.
- All errors logged before propagation.

## Navigation

- **Self**: `SPEC.md`
- **Parent**: [../README.md](../README.md)
- **Readme**: [README.md](README.md)
- **Agents**: [AGENTS.md](AGENTS.md)
- **Repository Root**: [README.md](../../../../README.md)
