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Citrine v1.34.0 is released!

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@jspeerless jspeerless released this 06 Jul 15:05
v1.34.0
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In this release of Citrine Python, we are happy to announce additional configurability of Design Spaces that are created via the create_default method. The method, which creates a new Design Space based on a given Predictor configuration, now takes three optional flags: one each to constrain the design space ingredient amounts, label amounts, or ingredient-counts-per-label based on the shape of the training data.

This lets you build your default design space in a number of ways: you can start similar to your training data and expand, or start with a big design space and constrain smaller. All these flags are optional; omitting them will default to "False" resulting in an unconstrained design space. As always, we are also shipping minor bug fixes to keep you running smoothly.

What's New

  • Add configurability flags to the create_default Design Space method. #767

Fixes

  • Minor bug fixes and improvements. #766

Full Changelog: v1.33.2...v1.34.0

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