via “automl for automated model selection and hyperparameter tuning”
Unified analytics and AI platform — lakehouse, MLflow, Model Serving, Mosaic AI, Unity Catalog.
Unique: Databricks AutoML integrates with MLflow and the lakehouse, automatically training multiple models and logging results with full reproducibility. Unlike standalone AutoML tools (H2O AutoML, TPOT), Databricks AutoML generates a notebook with the best model's code, enabling users to understand and customize the approach.
vs others: More integrated than H2O AutoML (no separate installation), generates reproducible code unlike black-box AutoML services, and cheaper than managed AutoML services (SageMaker Autopilot, Vertex AI AutoML) because it uses Databricks compute.