ML / AutoML · H2O.ai
H2O.ai: open-source + Driverless AI AutoML
H2O-3/AutoML, Driverless AI, time series, and MLOps
H2O.ai offers the open-source H2O-3 stack and commercial Driverless AI with automated feature engineering, model search, explainability, and deployment. With Wave apps, Feature Store, and MLOps components, it fits self-hosted or cloud setups that need privacy and performance control.
AutoML & Driverless
Automated feature engineering, tuning, and time-series support with reusable pipelines.
Open-source/self-hosted
H2O-3 and H2O AutoML with GPU support for on-prem or cloud, keeping data in place.
Explainability
SHAP/LIME, conditional contributions, and model documentation to aid auditability.
MLOps & features
Model registry, deployment, monitoring, and feature management streamline productionization.
适用场景 / Use cases
- Upskilling data science teams with AutoML
- Time-series forecasting and optimization
- Financial risk/credit scoring with governance needs
- Self-hosted AutoML with open-source stack