NextGen experience¶
The components and workflows of the NextGen interface are described in the following sections:
| Topic | Describes... |
|---|---|
| Getting started | What is Workbench? Learn about the interface architecture and see a glossary of terms. |
| Use Cases | Learn about Workbench Use Cases. |
| Data preparation | Learn how to connect, import, and wrangle your data. |
| Experiments | Learn how to create, compare, and manage experiments. |
| Predictions | Learn how to make predictions in Workbench. |
| Applications | Learn how to configure AI-powered applications using a no-code interface. |
| Notebooks | Learn how to access the in-browser editor to create and execute code for data science analysis and modeling. |
| Registry | Learn how to register and manage models created during Workbench experimentation or models running on external infrastructure. |
| Model workshop | Learn how to assemble and test model artifacts in the model workshop to deploy custom models through the Registry. |
| Jobs workshop | Learn how to assemble custom jobs in the jobs workshop to implement automation for your models and deployments. |
| Console | Learn how to leverage important management, monitoring, and governance features in a refreshed, modern user interface, familiar to users of MLOps features in DataRobot Classic. |
| Capability matrix | An evolving comparison of capabilities available in DataRobot Classic and Workbench. |
Updated April 10, 2024
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