Skip to content

On-premise users: click in-app to access the full platform documentation for your version of DataRobot.

Blueprint editing (video)

DataRobot blueprints are editable and configurable, providing a full-flexibility approach to model building and allowing you to apply your data science and subject matter expertise to the models you build. Your designs can be based on new arrangements of tasks and models that DataRobot provides or can incorporate custom tasks and models using Python/R code. Then, use your custom blueprint together with other DataRobot capabilities (MLOps, for example) to boost productivity.

Summary of support

This video discusses how to create user-defined blueprints in DataRobot. Blueprints are ML pipelines containing preprocessing steps (tasks), modeling algorithms, and post-processing steps that go into building a model. Instead of a blank canvas, you can copy and edit blueprints run during Autopilot to best suit your needs.

Read more

Updated February 23, 2024