📄️ Model Training Guide
This guide explains how to retrieve datasets for training inside Michelangelo AI workflows and how to optionally scale training using RayTask and the Lightning Trainer SDK.
📄️ Model Registry Guide
Save, version, and manage trained models using Michelangelo AI's model packaging system.
📄️ Deploy a Model
Serve a trained model from Michelangelo AI so applications can call it for predictions.
📄️ Native Feature Transforms
This guide covers michelangelo.lib.native_transform — a library of PyTorch