tools
H2O Driverless AI
H2O Driverless AI automates machine learning workflows, including feature engineering, model building, explainability, and deployment.
H2O Driverless AI is an automated machine learning platform for data scientists, IT teams, and business analysts. It imports data, transforms features, trains and validates models, explains predictions, and supports deployment.
It can export scoring pipelines as Python modules or Java artifacts and expose models through REST endpoints or cloud services. The product requires a commercial license; H2O.ai does not publish public tier pricing on the pages reviewed.
Features
- Automates feature engineering and feature selection
- Builds, tunes, validates, and selects machine learning models
- Provides global and local model explanations
- Includes automatic data visualization and quality checks
- Supports custom recipes and time-series modeling
- Exports Python and Java scoring pipelines
- Deploys models through REST endpoints, cloud services, or edge artifacts
- Provides a Python client and API
Use cases
- Build predictive models from tabular business data
- Detect fraud and other unusual transactions
- Forecast demand, revenue, or operational metrics
- Explain model predictions for regulated decisions
- Deploy scoring pipelines in applications or edge systems
- Help analysts create models with guided workflows