MLOps Industrialization

Transform prototypes into distributable Python packages

Convert notebooks to production packages.

Features

1. Package Structure Generator 📦

Create src/ layout:

bash

./scripts/create-package.sh my_package

Creates:

text

src/my_package/
├── __init__.py
├── io/          # I/O operations
├── domain/      # Pure business logic
└── application/ # Orchestration

2. Three-Layer Architecture 🏗️

Domain (Pure)

• No I/O, no side effects
• Feature transformations
• Pure functions or immutable objects

I/O (Impure)

• External interactions
• Load data, save models
• Classes for state management

Application

• Wire Domain + I/O
• Training loops, inference

Quick Start

bash

# Create package structure
./scripts/create-package.sh my_ml_package

# Add CLI entrypoint to pyproject.toml:
# [project.scripts]
# train = "my_ml_package.application.train:main"

Key Files

Generated files:

• src/my_package/domain/features.py - Feature engineering
• src/my_package/io/data.py - Data loading/saving
• src/my_package/application/train.py - Training pipeline

Author

Converted from MLOps Coding Course

Changelog

v1.0.0 (2026-02-18)

• Initial OpenClaw conversion
• Added package generator