Managed AI Platform releases¶
This page provides announcements of newly released features available in DataRobot's SaaS single- and multi-tenant AI Platform, with links to additional resources.
This month's deployment¶
August 22, 2023
With the latest deployment, DataRobot's AI Platform delivered the new GA and Public Preview features listed below. From the release center you can also access:
- Monthly deployment announcement history
- Public preview features
- Self-Managed AI Platform release notes
August release¶
The following table lists each new feature:
Features grouped by capability
| Name | GA | Public Preview |
|---|---|---|
| Modeling | ||
| Blueprint repository in Workbench now GA | ✔ | |
| Blueprint JSON endpoints allow mapping to open source | ✔ | |
| More granular model logging info now available in DataRobot Classic | ✔ | |
Modeling enhancements¶
GA¶
Blueprint repository in Workbench now GA¶
With this deployment, the blueprint repository—a library of modeling blueprints—is now generally available in Workbench. After running Quick Autopilot, you can visit the repository to select and run blueprints that DataRobot did not run by default. They will be added to the Leaderboard and your experiment.
Additionally, the Blueprint visualization is GA in Workbench, providing a graphical representation of the preprocessing steps (tasks), modeling algorithms, and post-processing steps that go into building a model.
Blueprint JSON endpoints allow mapping to open source¶
With this deployment, model blueprint JSON representation can be retrieved through both the UI and through API and client packages for improved transparency. Now you can access the JSON for DataRobot tasks and map the components to open-source code, creating an open-source equivalent to the DataRobot blueprint. For code-first users, the information can be quickly retrieved programmatically and incorporated into notebooks. Or, it can be copied from the Describe > Blueprint JSON tab in the UI. The code then be edited to suit your pipeline needs.
More granular model logging info now available in DataRobot Classic¶
With this deployment, additional detail has been added to the Model Info and Log tabs, both available under Describe in DataRobot Classic. The Log tab, which displays the status of successful and errored operations, now displays start and end times for each task within a larger job. Model Info has added Max RAM and Cache Time Savings—a measure of how much time was saved due to reusing blueprint vertexes.
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