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

Adaption to high-dimentional input such as 3d input #4

Open
trannguyenle95 opened this issue Mar 5, 2024 · 1 comment
Open

Adaption to high-dimentional input such as 3d input #4

trannguyenle95 opened this issue Mar 5, 2024 · 1 comment

Comments

@trannguyenle95
Copy link

Hi,

I have been trying to adapt our code to 3d input but so far failed to do so. Is it possible to give hints regarding this matter? Thanks a lot!

@cagoc
Copy link

cagoc commented Jul 10, 2024

Hi,
Sorry to bother you. I have been trying to reproduce active_learning.py with wiski model but I failed. it is said that

Traceback (most recent call last): File "C:\code\online_vargp-main\experiments\active_learning\qnIPV_experiment.py", line 308, in <module> main(args) File "C:\code\online_vargp-main\experiments\active_learning\qnIPV_experiment.py", line 146, in main mll = mll_type(model.likelihood, model, **mll_kwargs) ^^^^^^^^^^^^^^^^ AttributeError: 'NoneType' object has no attribute 'likelihood'
I have tried to use ExactMarginalLogLikelihood and BatchedWoodburyMarginalLogLikelihood but none of them succeeded. Have you reproduce active_learning.py with wiski model successfully? Thanks a lot!

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