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

testing time #8

Closed
xchuwenbo opened this issue Aug 30, 2023 · 2 comments
Closed

testing time #8

xchuwenbo opened this issue Aug 30, 2023 · 2 comments

Comments

@xchuwenbo
Copy link

I ran the code you posted on github and found that the time of training for a epoch takes about half a minute but the testing takes about half a hour(The command is “python exe_physio.py --testmissingratio 0.1 --nsample 100”). May I ask if this is in line with the actual situation.

@y-tashi
Copy link
Collaborator

y-tashi commented Nov 15, 2023

Hi, sorry for the late reply.
Yes, it's working correctly.
Our code is not fast at test time. To accelerate the speed, You can combine CSDI with methods which speed up diffusion models.

@y-tashi y-tashi closed this as completed Jan 5, 2024
@xchuwenbo
Copy link
Author

Hi, Tashiro,

Thanks for your reply. We have already finished the comparison experiment and report as it was described in the paper.

Wenbo

tldr: our recent work is deep ensembles method combined with quantile regression. it is faster than the generative models, such as the diffusion models.
Deep Ensembles Meets Quantile Regression: Uncertainty-aware Imputation for Time Series.
Ying Liu+, Peng Cui+, Wenbo Hu, Richang Hong
https://arxiv.org/abs/2312.01294

@LLL-HLL LLL-HLL mentioned this issue Mar 2, 2024
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