About H2O Driverless AI
H2O Driverless AI auto-generates feature engineering and tuned models. Strong for tabular data and time-series forecasting. Teams pick it because automatic feature engineering and strong on tabular data.
Things to keep in mind: driverless ai license is pricey.
H2O Driverless AI is a paid tool from H2O.ai and launched on 2017-01-30. It sits in the Research space and is best used to Build predictive models, Forecast metrics.
Pricing
- Full Driverless AI functionality for evaluation
- Limited to trial period
- Single user access
Features
- •Cited answers with sourcesBuilt-in support for cited answers with sources — used for build predictive models.
- •Long-document summarisationBuilt-in support for long-document summarisation — used for build predictive models.
- •Comparative reasoning across papersBuilt-in support for comparative reasoning across papers — used for build predictive models.
- •Export to citation managersBuilt-in support for export to citation managers — used for build predictive models.
Pros
- Automatic feature engineering
- Strong on tabular data
- Open-source H2O-3 available free
Cons
- Driverless AI license is pricey
- Steeper learning curve than DataRobot
- Visualizations dated
AI Models used
The foundation models that power H2O Driverless AI under the hood.
Powers automated feature engineering, model selection, and hyperparameter tuning for machine learning workflows.
Enables natural language interfaces and automated explanation generation for model insights and recommendations.
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