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

Ask/tell interface #123

Open
moi90 opened this issue Sep 16, 2020 · 2 comments
Open

Ask/tell interface #123

moi90 opened this issue Sep 16, 2020 · 2 comments

Comments

@moi90
Copy link

moi90 commented Sep 16, 2020

Is there a ask/tell interface? If not, is there a workaround?

I'd like to initialize the optimizer with already known function evaluations. Likewise, I'd like to query the next data point that should be evaluated, according to the acquisition function.

@icouckuy
Copy link
Contributor

There is not yet an ask/tell interface. This might be part of the next version.

You can override the BayesianOptimizer class if you want to do something special for know, or just use the low-level interface (the Acquisition class) directly.

  • To initialize the optimizer of the acquisition function you can use a StagedOptimizer and extend the MCOptimizer to include predefined points
  • If you mean that you want to initialize the BO process with existing data simply add it to the evaluated design of experiments and pass them to the GPFlow model

@moi90
Copy link
Author

moi90 commented Oct 10, 2020

Thanks!

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