AutoMAX

Python 3.10 PyTorch SMAC3

AutoMAX is an automated hyperparameter optimization framework for AUC-based metrics, built on top of LibAUC and SMAC3.

Instead of manually sweeping learning rates, margins, and decay schedules, AutoMAX runs a Bayesian search over the predefined hyperparameter spaces for each supported loss/optimizer pair — then returns the best configuration for your dataset.

🚀 Quick Start

Install AutoMAX and run your first AutoTune in minutes.

Quick Start
⚙️ Configuration

Full reference for the YAML config file — all five sections.

Configuration Reference
🔍 AutoMAX Search

How the SMAC3-based search works and what it tunes.

AutoMAX Search
📋 Recipes

Ready-to-use configs for AUROC, AUPRC, pAUC, and more.

Recipes

API Reference

Recipes