Skip to content
New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Support for constrained optimization? #6

Open
ogencoglu opened this issue May 26, 2020 · 2 comments
Open

Support for constrained optimization? #6

ogencoglu opened this issue May 26, 2020 · 2 comments
Assignees

Comments

@ogencoglu
Copy link

Any plans on supporting arbitrary constraints on input/output?

E.g. non-linear inequality constraints etc.

@sandeep-iitr
Copy link
Collaborator

Thanks for creating this issue. We will have a discussion regarding the suggestion soon, and hopefully, we might extend Mango with capabilities to support arbitrary constraints as well.

@sandeep-iitr
Copy link
Collaborator

Dear Oguzhan Gencoglu,

We will be able to support the functionality of constraints specification in Mango in the future release. We believe this will be a good contribution to extend to more use-cases. This will take us some time to think through the required syntax changes and accordingly the changes in internal search implementation as well. We know our current search implementation can support it. It is a matter of extending the search space syntax so users can specify even richer constraints.

In the current syntax, the search domain is kind of the constraint within which the user is interested to find a solution. But our current search domain specification cannot support arbitrary constraints on input/output. The search domain syntax is mostly influenced by the ML parameter search space.

regards,
Sandeep Singh.

@sandeep-iitr sandeep-iitr self-assigned this May 31, 2020
Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment
Labels
None yet
Projects
None yet
Development

No branches or pull requests

2 participants