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.
Protege Engine 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.
