- Zeel is a Microsoft Research India PhD Fellow.
- Zeel is a co-author in Probabilistic Machine Learning: Advanced Topics (
) book authored by a well-known author Kevin Murphy.
- Zeel was a Google Summer of Code (GSoC) contributor at TensorFlow in 2022.
aaai22's Introduction
aaai22's People
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No module named 'nsgp'
Thanks for your kind work
I'm running you code at “nonstat_gp_cat”.However,when running lib.py, it was found that the nsgp package could not be found.
error info :
Traceback (most recent call last):
File "D:/毕设/AAAI22-main/nonstat_gp_cat/lib.py", line 16, in
from nsgp.utils.inducing_functions import f_kmeans, f_random
ModuleNotFoundError: No module named 'nsgp'
I would appreciate it if you could tell me how to solve this problem!Thank you!
add link to your pdf paper to the README.md
torch.linalg_cholesky error
Thanks for your kind work
I'm running you code at nonstat_gp_cat. However, the code constantly throws an error:
torch.linalg_cholesky: The factorization could not be completed because the input is not positive-definite (the leading minor of order 314 is not positive-definite).
It seems that you have code to reinitialize all the parameters at gp_train.py:
# except Exception as e: # loss_val = np.inf # torch.cuda.manual_seed(rand) # rand+=1 # init_vars(model) pprint('Iter', i, 'Batch', bi, 'Failed with', e, 're inited the params') # break
I also tried this for many time, but the model still cannot get the right initializations. This reinitialization of all the parameters is the only way to solve this problem? Do you have other suggestions?
Thanks in advance :)
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