applying complex constrains about ax

[Balandat]

As you said, the standard parameter constraints do not support complex nonlinear constraints. This is for a few reasons, not least that this makes the acquisition function optimization a lot more challenging. It also makes it a lot harder to deal with the parameter transformations that Ax applies under the hood. See #1797 (comment) for a more detailed discussion.

What is the mathematical problem you're trying to solve? Is there a way to express the constraints in other coordinates?

[StanleyYoo]

Hi Balandat,
Thanks for your response and the discussion at #1797 is well understood. Then do you have any suggestion to address my issue? the mathematical problem I need to solve is that I only want to confine the SearchSpace which only satisfy discriminant = b**2 - (4 * a * c) >= 0 requirement. Since otherwise, the sample from the SearchSpace passed to a next step and they won't work, meaning the entire BO process stopped since the next step yields empty result. The next step only work once real solution exists, i.e. discriminant = b**2 - (4 * a * c) >= 0. I have thinking about including 'discriminant' together with other parameters, x00, x01, x02, x03, x04 and x05 at SearchSpace but it hasn't worked since there is no correlation between 'discriminant' and others. If you have any idea to resolve this or even discarding/abandon a sample which are not satisfy the criteria discriminant = b**2 - (4 * a * c) >= 0, please let me know!