📄️ Overview
The Protege Engine module contains the core training and orchestration logic for Protege-based machine learning workflows. It provides tools to define, train, evaluate, and package deep learning models, with a focus on modularity, reproducibility, and cloud-ready execution.
📄️ Changelog
Protege Runtime release notes
📄️ Supported Transforms
Interpolation Modes
📄️ Training Metrics Description
Classification
📄️ Supported Model Architectures
Classification
📄️ Model Artifact Description
This document describes the artifact that is produced by training with protege.
