Citrine v3.1.0 is now released!
This release of Citrine Python, we're excited to open up a new method of selecting materials for use in model training and visualization to our SDK users.
In our web application, the Citrine Platform has changed how the materials for training tables are selected by leveraging GemdQueries. With this release, we have deployed GemdQueries in Citrine Python as well. Now you may choose materials based on properties, material names, or other detailed properties of the material history, and we will return rows corresponding to the dependent subgraphs for all matching materials. This also supports nesting AND and OR queries, allowing for fine-grained control.
As usual, we've also included some minor fixes and improvements to keep our python SDK lean, clean, and to keep you running smoothly!
What's New
- Implementing
GemdQuery
objects for building tables. #926
Improvements
- Cleaning up disconnected code. #923
Fixes
- Description and summary field requirements are now optional for Datasets. #924
Full Changelog: v3.0.0...v3.1.0