Citrine v2.26.1 is released!
In this release of Citrine Python, we've added a few small but key additions. You can now edit a Predictor without having to wait for a retrain. Also, we've added documentation on how to use the sample_design_space
feature to return a list of starting candidates for your SL project, even if you don't have any data. And of course, we have some minor changes to keep up with our evolving back-end.
What's New
- You can change a Predictor configuration without triggering a retrain by passing
train=False
when updating your Predictor. #867
Improvements
- Add documentation on sampling a Design Space. #870
- Updated design spaces to use new endpoints. #868, #871
Full Changelog: v2.24.1...v2.26.1