Workbench¶
Workbench is an intuitive, guided, machine learning workflow, providing a way for users to experiment and iterate. Move from raw data to prepared, partitioned data that’s ready for modeling, build many models at once, and generate value quickly through key insights and predictions.
Components of the Workbench interface include the following. See the Workbench overview to understand the components of the interface, including the architecture and some sample workflows:
| Topic | Description |
|---|---|
| Use Cases | Build and manage experiment-based, iterative workflows. |
| Data preparation | Ingest, transform, and store data for experimentation. |
| AI experimentation | Build, compare, and manage predictive models, with or without time-aware components. |
| DataRobot Notebooks | Create interactive and executable computing documents. |
| Migrate assets | Learn how to migrate DataRobot assets from Classic to NextGen. |