Open-source AutoML that trains and ranks models for you.
H2O AutoML automates large parts of the data science workflow by training, tuning, and stacking multiple algorithms within a time budget, then ranking them in a leaderboard. Data scientists can call it from Python or R, get strong baselines quickly, and export models for production while still having full access to all underlying components because it’s fully open source. **Key Features:** • Automatic training and tuning of many ML models • Model leaderboard with multiple evaluation metrics • Stacked ensembles for top-performing predictions • APIs for Python, R, and a web-based UI • Fully open-source and deployable on your own infrastructure
